Overview of User Defined Functions
The user defined function table
Format of the function data transfer file
Format of the function result file
Example: Linear Regression Function
display
command). Some
possible user defined functions might be:
You may write a function that can be invoked via the GrADs expression facility. This function may be written in any computer language, and may perform any desired I/O, calculations, etc. Please read the following documentation carefully to understand the restrictions to this capability.
Overview of User Defined Functions
The steps that GrADS uses to invoke a user defined function are:
Please note that in a user-defined function adding the double
quote ("") around a char
argument passes the string directly
without the usual conversion to lower case and removal of blanks,
e.g.,
d grhilo(slp,F8.2,"This is the Label",0.25)
Here F8.2
is passed as f8.2
, but the second
character string
would not be converted to thisisthelabel
.
The user defined function table
The user defined function table (UDFT) is a simple text file that contains information about each user defined function. There are five records for each defined function, and the file may contains descriptions for any number of functions. The 5 records are:
Field 2: An integer value, specifying the minimum number of arguments that the function may have.
Field 3: An integer value, specifying the maximum number of arguments that the function may have. This may not be more than 8.
Field 4 to N: A keyword describing the data type of each
argument:
expr:
The argument is an expression.
value:
The argument is a data value.
char:
The argument is a character string.
Record 2: This record contains blank delimited option keywords. Current keywords are:
sequential
- GrADS will write data to the function data
transfer file in FORTRAN sequential unformatted records. This is
typically appropriate if the function is written in FORTRAN.
direct
- GrADS will write data to the function data
transfer file without any record descriptor words. This is
typically appropriate if the function is written in C.
Record 3: This record contains the file name of the function
executable routine. This routine will be invoked as its own separate
process via the system
call. Do a man system
if you would like more information on the rules governing this system
feature.
Record 4: This record contains the file name of the function data transfer file. This is the file that GrADS will write data to before invoking the user function executable, and is typically the file the function will read to obtain the data to be operated upon.
Record 5: This record contains the file name of the function result file. The function writes the result of its operations into this file in a specified format, and GrADS reads this file to obtain the result of the function calculation.
The user function definition table itself is pointed to by the environment variable GAUDFT. If this variable is not set, the function table will not be read. An example of setting this variable is:
setenv GAUDFT /usr/local/grads/udft
User defined functions have precedence over GrADS intrinsic functions, thus a user defined function can be set up to replace a GrADS function. Be sure you do not do this inadvertently by choosing a function name already in use by GrADS.
Format of the function data transfer file
The function data transfer file contains a header record plus one or more records representing each argument to the function. The user function routine will know what data types to expect (since they will be specified in the UDFT), and can read the file in a predictable way.
Header record: The header record always contains 20 floating point numbers. The record will always be the same size. Values defined in this record are:
2nd value: Set to zero, to indicate this particular transfer file format. The function should test this value, and return an error if non-zero, in order to be compatible with future enhancements to this file format.
Values 3 to 20: Reserved for future use.
Argument records: The argument records are written out in the order that the arguments are presented. The contents of the argument records depends on the data type of the argument: value, character string, or expression. Each of these data types will result in a different argument record being written out:
value
: If the argument data type is a value, then the argument
record will contain a single floating point value.
char
: If the argument data type is a character
string, then the argument record will an 80-byte character array that
contains the argument string. If the argument string is longer than 80
bytes, the trailing bytes will be lost. If the argument is shorter, it
will be padded with blanks. Note that the argument will already be
processed by the GrADS expression parser, which will convert all
characters to lower case and remove any blanks.
expr
: If the argument data type is a gridded
expression, then GrADS will evaluate the expression and write a series
of records to the transfer file. Listed below are the records that
will be written to the transfer file for each argument that is a
gridded expression:
2 -- An index to identify the i dimension (idim). Options for the index are:
-1
None 0
X dimension (lon) 1
Y dimension (lat) 2
Z dimension (lev) 3
T dimension (time)3 -- An index to identify the j dimension (jdim). Options are the same as for idim. If both idim and jdim are -1, the grid is a single value.
4 -- number of elements in the i direction (isiz).
5 -- number of elements in the j direction (jsiz).
6 -- i dimension linear flag. If 0, the dimension has non-linear scaling.
7 -- j dimension linear flag. If 0, the dimension has non-linear scaling.
8 -- istrt. This is the world coordinate value of the first idim element, ONLY if idim has linear scaling and idim is not time.
9 -- iincr. This is the increment of the world coordinate values for idim, ONLY if idim has linear scaling.
10 -- jstrt. This is the world coordinate value of the first jdim element, ONLY if jdim has linear scaling and jdim is not time.
11 -- jincr. This is the increment of the world coordinate values for jdim, ONLY if jdim has linear scaling.
12 -- If one of the dimensions is time, values 12 to 16 define the start time:
17 -- If one of the dimensions is time, values 17 and 18 define the time increment:
19,20 -- reserved for future use
2nd record: This record contains the actual grid of data. It contains isiz*jsiz floating point elements.
3rd record: This record contains the world coordinate values for each grid element in the i dimension. Thus, the record will contain isiz floating point elements.
4th record: This record contains the world coordinate values for each grid element in the j dimension. Thus, the record will contain jsiz floating point elements.
Format of the function result file
The function result file returns the result of the user defined function to GrADS. It is the responsibility of the function program to write this file in the proper format. A file written out in an improper format may cause GrADS to crash, or to produce incorrect results.
The result of a function is always a grid. Thus, the format of the function result file is as follows:
Header record: The header record should always contain 20 floating point numbers. The record will always be the same size. Values defined in this record are:
2nd value: Set to zero, to indicate this particular transfer file format. The function should test this value, and return an error if non-zero, in order to be compatible with future enhancements to this file format.
Values 3 to 20: Reserved for future use.
Grid records: The grid records should be written in the same
order and format as the expr
argument record in
the data transfer file, with one important exception: the 3rd and 4th
records containing the world coordinate values for each grid element
in the i and j dimensions are written out to the function result file
only if the scaling is non-linear. Thus the transfer file and the result
file are not symmetric: GrADS writes a transfer file with record #3
and #4 always included, but it does NOT like to see record #3 and #4
in the result file if the dimensions are linear.
The linear/non-linear scaling of the grid dimensions is determined by examining the grid header contents -- values 6 and 7 contain the idim and jdim linear flags. Note that the time dimension is always linear.
Example: Linear Regression Function
This is a simple example of what a user defined function might look like in FORTRAN. This is a simple linear regression function, which only handles a 1-D grid and takes one argument, and expression.
First, the user defined function table (UDFT):
linreg 1 1 expr sequential /mnt/grads/linreg /mnt/grads/linreg.out /mnt/grads/linreg.in
The source code for the FORTRAN program linreg is:
real vals(20),ovals(20) real x(10000),y(10000) c open (8,file='/mnt/grads/linreg.out',form='unformatted') open (10,file='/mnt/grads/linreg.in',form='unformatted') c read (8) read (8) vals idim = vals(2) jdim = vals(3) c c If this is not a 1-D grid, write error message and exit if (idim.eq.-1 .or. jdim.ne.-1) then write (6,*) 'Error: Invalid dimension environment' vals(1) = 1 write (10) vals stop endif c c If the grid is too big, write error message and exit isiz = vals(4) if (isiz.gt.10000) then write (6,*) 'Error from linreg: Grid too big' vals(1) = 1 write (10) vals stop endif c c Read the data read (8) (y(i),i=1,isiz) c c Read non-linear scaling if necessary ilin = vals(6) if (ilin.eq.0) then read (8) (x(i),i=1,isiz) else do 100 i=1,isiz x(i) = i 100 continue endif c c Do linear regression call fit (x,y,isiz,a,b) c c Fill in data values do 110 i=1,isiz y(i) = a+x(i)*b 110 continue c c Write out return info. c The header and the non-linear scaling c info will be the same as what GrADs gave us. ovals(1) = 0.0 write (10) ovals write (10) vals write (10) (y(i),i=1,isiz) if (ilin.eq.0) write(10) (x(i),i=1,isiz) c stop end c c--------------------------------------------------- SUBROUTINE FIT(X,Y,NDATA,A,B) c c A is the intercept c B is the slope c REAL X(NDATA), Y(NDATA) c SX = 0. SY = 0. ST2 = 0. B = 0. DO 12 I = 1, NDATA SX = SX + X(I) SY = SY + Y(I) 12 CONTINUE SS = FLOAT(NDATA) SXOSS = SX/SS DO 14 I = 1, NDATA T = X(I) - SXOSS ST2 = ST2 + T * T B = B + T * Y(I) 14 CONTINUE B = B/ST2 A = (SY - SX * B)/SS RETURN END


| (A) | ---- no text ---- | |
| 918 | (C) | vaspasiane roose on vitale . to w venge his brotheres detħ |
| 904 | (D) | vaspasian on vital to vengyn his brothir |
| 881 | (E) | ¶ waspasyan on vitayl to vengyn his brother |
| (Ex) | ---- no text ---- | |
| 936 | (L) | waspasian vpon vitel to vengen his broþer |
| 854 | (P) | waspasyan aponn vytale to venge his brother |
| 890 | (U) | Vespasian on Vitail / to venge his brother detħ |
| (V) | ---- no text ---- |


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Implements a function similar to performance.now
(based on process.hrtime
).
Modern browsers have a window.performance
object with - among others - a now
method which gives time in miliseconds, but with sub-milisecond precision. This module offers the same function based on the Node.js native process.hrtime
function.
According to the High Resolution Time specification, the number of miliseconds reported by performance.now
should be relative to the value of performance.timing.navigationStart
. For this module, it's relative to when the time when this module got loaded. Right after requiring this module for the first time, the reported time is expected to have a near-zero value.
Using process.hrtime
means that the reported time will be monotonically increasing, and not subject to clock-drift.
var now = require("performance-now")
var start = now()
var end = now()
console.log(start.toFixed(3)) // ~ 0.05 on my system
console.log((start-end).toFixed(3)) // ~ 0.002 on my system
Running the now function two times right after each other yields a time difference of a few microseconds. Given this overhead, I think it's best to assume that the precision of intervals computed with this method is not higher than 10 microseconds, if you don't know the exact overhead on your own system.
The initial structure of this module was generated by Jumpstart, using the Jumpstart Black Coffee template.
performance-now is released under the MIT License.
Copyright (c) 2013 Meryn Stol


Dawn revealed devastation in the Green Man’s garden. The ground was thick with fallen leaves, almost knee-deep in places. All the flowers were gone except a few clinging desperately to the edge of the clearing. Little could grow in the soil under an oak, but a thin circle of flowers and grass centered on the thick trunk above the Green Man’s grave. The oak itself retained only half its leaves, and that was far more than any other tree had, as if some remnant of the Green Man still fought to hold there. The cool breezes had died, replaced by a growing sticky heat, the butterflies were gone, the birds silent. It was a silent group who prepared to leave.
Rand climbed into the bay’s saddle with a sense of loss. It shouldn’t be this way. Blood and ashes, we won!
“I wish he had found his other place,” Egwene said as she mounted Bela. A litter, fashioned by Lan, was slung between the shaggy mare and Aldieb, to carry Moiraine; Nynaeve would ride beside with the white mare’s reins. The Wisdom dropped her eyes whenever she saw Lan glance at her, avoiding his gaze; the Warder looked at her whenever her eyes were averted, but he would not speak to her. No one had to ask who Egwene meant.
“It is not right,” Loial said, staring at the oak. The Ogier was the only one still not mounted. “It is not right that Treebrother should fall to the Blight.” He handed the reins of his big horse to Rand. “Not right.”
Lan opened his mouth as the Ogier walked to the great oak. Moiraine, lying on the litter, weakly raised her hand, and the Warder said nothing.
Before the oak, Loial knelt, closing his eyes and stretching out his arms. The tufts on his ears stood straight as he lifted his face to the sky. And he sang.
Rand could not say if there were words, or if it was pure song. In that rumbling voice it was as if the earth sang, yet he was sure he heard the birds trilling again, and spring breezes sighing softly, and the sound of butterfly wings. Lost in the song, he thought it lasted only minutes, but when Loial lowered his arms and opened his eyes, he was surprised to see the sun stood well above the horizon. It had been touching the trees when the Ogier began. The leaves still on the oak seemed greener, and more firmly attached than before. The flowers encircling it stood straighter, the morningstars white and fresh, the loversknots a strong crimson.
Mopping sweat from his broad face, Loial rose and took his reins from Rand. His long eyebrows drooped, abashed, as if they might think he had been showing off. “I’ve never sung so hard before. I could not have done it if something of Treebrother was not still there. My Treesongs do not have his power.” When he settled himself in his saddle, there was satisfaction in the look he gave the oak and the flowers. “This little space, at least, will not sink into the Blight. The Blight will not have Treebrother.”
“You are a good man, Ogier,” Lan said.
Loial grinned. “I will take that as a compliment, but I do not know what Elder Haman would say.”
They rode in a single file, with Mat behind the Warder where he could use his bow to effect if needed, and Perrin bringing up the rear with his axe across the pommel of his saddle. They crested a hill, and in an eyeblink the Blight was all around them, twisted and rotted in virulent rainbow hues. Rand looked over his shoulder, but the Green Man’s garden was nowhere to be seen. Only the Blight stretching behind them as before. Yet he thought, just for a moment, that he saw the towering top of the oak tree, green and lush, before it shimmered and was gone. Then there was only the Blight.
He half expected they would have to fight their way out as they fought their way in, but the Blight was as quiet and still as death. Not a single branch trembled as if to lash at them, nothing screamed or howled, neither nearby nor in the distance. The Blight seemed to crouch, not to pounce, but as if it had been struck a great blow and waited for the next to fall. Even the sun was less red.
When they passed the necklace of lakes, the sun hung not far past its zenith. Lan kept them well away from the lakes and did not even look at them, but Rand thought the seven towers seemed taller than when he first saw them. He was sure the jagged tops were further from the ground, and above them something almost seen, seamless towers gleaming in the sun, and banners with Golden Cranes flying on the wind. He blinked and stared, but the towers refused to vanish completely. They were there at the edge of vision until the Blight hid the lakes once more.
Before sunset the Warder chose a campsite, and Moiraine had Nynaeve and Egwene help her up to set wards. The Aes Sedai whispered in the other women’s ears before she began. Nynaeve hesitated, but when Moiraine closed her eyes, all three women did so together.
Rand saw Mat and Perrin staring, and wondered how they could be surprised. Every woman is an Aes Sedai, he thought mirthlessly. The Light help me, so am I. Bleakness held his tongue.
“Why is it so different?” Perrin asked as Egwene and the Wisdom helped Moiraine to her bed. “It feels . . . ” His thick shoulders shrugged as if he could not find the word.
 “The Shadow will be a long time recovering.”
“How?” Mat demanded. “What did we do?”
“Sleep,” Moiraine said. “We are not out of the Blight yet.”
But the next morning, still nothing changed that Rand could see. The Blight faded as they rode south, of course. Twisted trees were replaced by straight. The stifling heat diminished. Rotting foliage gave way to the merely diseased. And then not diseased, he realized. The forest around them became red with new growth, thick on the branches. Buds sprouted on the undergrowth, creepers covered the rocks with green, and new wildflowers dotted the grass as thick and bright as where the Green Man walked. It was as if spring, so long held back by winter, now raced to catch up to where it should be.
He was not the only one who stared. “A mighty blow,” Moiraine murmured, and would say no more.
Climbing wildrose entwined the stone column marking the Border. Men came out of the watchtowers to greet them. There was a stunned quality to their laughter, and their eyes shone with amazement, as if they could not believe the new grass under their steel-clad feet.
“The Light has conquered the Shadow!”
“A great victory in Tarwin’s Gap! We have had the message! Victory!”
“The Light blesses us again!”
“King Easar is strong in the Light,” Lan replied to all their shouts.
The watchmen wanted to tend Moiraine, or at least send an escort with them, but she refused it all. Even flat on her back on a litter, the Aes Sedai’s presence was such that the armored men fell back, bowing and acceding to her wishes. Their laughter followed as Rand and the others rode on.
In the late afternoon they reached Fal Dara, to find the grim-walled city ringing with celebration. Ringing in truth. Rand doubted if there could be a bell in the city not clanging, from the tiniest silver harness chime to great bronze gongs in their tower tops. The gates stood wide open, and men ran laughing and singing in the streets, flowers stuck in their topknots and the crevices of their armor. The common people of the town had not yet returned from Fal Moran, but the soldiers were newly come from Tarwin’s Gap, and their joy was enough to fill the streets.
“Victory in the Gap! We won!”
“A miracle in the Gap! The Age of Legends has come back!”
“Spring!” a grizzled old soldier laughed as he hung a garland of morningstars around Rand’s neck. His own topknot was a white cluster of them. “The Light blesses us with spring once more!”
Learning they wanted to go to the keep, a circle of men clad in steel and flowers surrounded them, running to clear a way through the celebration.
Ingtar’s was the first face Rand saw that was not smiling. “I was too late,” Ingtar told Lan with a sour grimness. “Too late by an hour to see. Peace!” His teeth ground audibly, but then his expression became contrite. “Forgive me. Grief makes me forget my duties. Welcome, Builder. Welcome to you all. It is good to see you safely out of the Blight. I will bring the healer to Moiraine Sedai in her chambers, and inform Lord Agelmar—”
“Take me to Lord Agelmar,” Moiraine commanded. “Take us all.” Ingtar opened his mouth to protest, and bowed under the force of her eyes.
 He wore a troubled frown that deepened when he saw Moiraine carried in on her litter by liveried servants. Women in the black-and-gold fluttered over bringing the Aes Sedai to him without a chance to freshen herself or be brought the healer. Loial carried the gold chest. The pieces of the seal were still in Moiraine’s pouch; Lews Therin Kinslayer’s banner was wrapped in her blanketroll and still tied behind Aldieb’s saddle. The groom who had led the white mare away had received the strictest orders to see the blanketroll was placed untouched in the chambers assigned to the Aes Sedai.
“Peace!” the Lord of Fal Dara muttered. “Are you injured, Moiraine Sedai? Ingtar, why have you not seen the Aes Sedai to her bed and brought the healer to her?”
“Be still, Lord Agelmar,” Moiraine said. “Ingtar has done as I commanded him. I am not so frail as everyone here seems to think.” She motioned two of the women to help her to a chair. For a moment they clasped their hands, exclaiming that she was too weak, that she should be in a warm bed, and the healer brought, and a hot bath.  As soon as she was settled she waved them away irritably. “I would speak with you, Lord Agelmar.”
Agelmar nodded, and Ingtar waved the servants from the room. The Lord of Fal Dara eyed those who remained expectantly; especially, Rand thought, Loial and the golden chest.
“We hear,” Moiraine said as soon as the door shut behind Ingtar, “that you won a great victory in Tarwin’s Gap.”
“Yes,” Agelmar said slowly, his troubled frown returning. “Yes, Aes Sedai, and no. The Halfmen and their Trollocs were destroyed to the last, but we barely fought. A miracle, my men call it. The earth swallowed them; the mountains buried them. Only a few Draghkar were left, too frightened to do else but fly north as fast as they could.”
“A miracle indeed,” Moiraine said. “And spring has come again.”
“A miracle,” Agelmar said, shaking his head, “but . . . Moiraine Sedai, men say many things about what happened in the Gap. That the Light took on flesh and fought for us. That the Creator walked in the Gap to strike at the Shadow. But I saw a man, Moiraine Sedai. I saw a man, and what he did, cannot be, must not be.”
“The Wheel weaves as the Wheel wills, Lord of Fal Dara.”
“As you say, Moiraine Sedai.”
“And Padan Fain? He is secure? I must speak with him when I am rested.”
“He is held as you commanded, Aes Sedai, whining at his guards half the time and trying to command them the rest, but . . . Peace, Moiraine Sedai, what of you, in the Blight? You found the Green Man? I see his hand in the new things growing.”
“We found him,” she said flatly. “The Green Man is dead, Lord Agelmar, and the Eye of the World is gone. There will be no more quests by young men seeking glory.”
The Lord of Fal Dara frowned, shaking his head in confusion. “Dead? The Green Man? He cannot be . . . Then you were defeated? But the flowers, and the growing things?”
“We won, Lord Agelmar. We won, and the land freed from winter is the proof, but I fear the last battle has not yet been fought.” Rand stirred, but the Aes Sedai gave him a sharp look and he stood still again. “The Blight still stands, and the forges of Thakan’dar still work below Shayol Ghul. There are many Halfmen yet, and countless Trollocs. Never think the need for watchfulness in the Borderlands is gone.”
“I did not think it so, Aes Sedai,” he said stiffly.
Moiraine motioned for Loial to set the gold chest at her feet, and when he did, she opened it, revealing the horn. “The Horn of Valere,” she said, and Agelmar gasped. Rand almost thought the man would kneel.
“With that, Moiraine Sedai, it matters not how many Halfmen or Trollocs remain. With the heroes of old come back from the tomb, we will march to the Blasted Lands and level Shayol Ghul.”
“NO!” Agelmar’s mouth fell open in surprise, but Moiraine continued calmly. “I did not show it to you to taunt you, but so that you will know that in whatever battles yet come, our might will be as great as that of the Shadow. Its place is not here. The Horn must be carried to Illian. It is there, if fresh battles threaten, that it must rally the forces of the Light. I will ask an escort of your best men to see that it reaches Illian safely. There are Darkfriends still, as well as Halfmen and Trollocs, and those who come to the horn will follow whoever winds it. It must reach Illian.”
“It shall be as you say, Aes Sedai.” But when the lid of the chest closed, the Lord of Fal Dara looked like a man being denied his last glimpse of the Light.
Seven days later, bells still rang in Fal Dara. The people had returned from Fal Moran, adding their celebration to that of the soldiers, and shouts and singing blended with the pealing of the bells on the long balcony where Rand stood. The balcony overlooked Agelmar’s private gardens, green and flowering, but he did not give them a second look. Despite the sun high in the sky, spring in Shienar was cooler than he was used to, yet sweat glistened on his bare chest and shoulders as he swung the heron-mark blade, each move precise yet distant from where he floated in the void. Even there, he wondered how much joy there would be in the town if they knew of the banner Moiraine still kept hidden.
“Good, sheepherder.” Leaning against the railing with his arms folded across his chest, the Warder watched him critically. “You are doing well, but don’t push so hard. You can’t become a blademaster in a few weeks.”
The void vanished like a pricked bubble.  His hand tightened on the rough leather of the hilt. I just want Tam to be my father. He slammed the sword into its scabbard. “Anyway, I don’t have a few weeks.”
“Then you’ve not changed your mind?”
“Would you?” Lan’s expression had not altered; the flat planes of his face looked as if they could not change. “You won’t try to stop me? Or Moiraine Sedai?”
“You can do as you will, sheepherder, or as the Pattern weaves for you.” The Warder straightened. “I’ll leave you now.”
Rand turned to watch Lan go, and found Egwene standing there.
“Changed your mind about what, Rand?”
He snatched up his shirt and coat, suddenly feeling the cool. “I’m going away, Egwene.”
“Where?”
“Somewhere. I don’t know.” He did not want to meet her eyes, but he could not stop looking at her. She wore red wildroses twined in her hair, flowing about her shoulders. She held her cloak close, dark blue and embroidered along the edge with a thin line of white flowers in the Shienaran fashion, and the blossoms made a line straight up to her face.   After . . . after what you’ve done, you deserve some reward.”
“Moiraine does not know I am alive. I have done what she wanted, and that’s an end to it. She doesn’t even speak to me when I go to her. Not that I’ve tried to stay close to her, but she’s avoided me. She won’t care if I go, and I don’t care if she does.”
“Moiraine is still not completely well, Rand.” She hesitated. “I have to go to Tar Valon for my training. Nynaeve is coming, too. And Mat still needs to be Healed of whatever binds him to that dagger, and Perrin wants to see Tar Valon before he goes . . . wherever. You could come with us.”
“And wait for some Aes Sedai besides Moiraine to find out what I am and gentle me?” His voice was rough, almost a sneer; he could not change it. “Is that what you want?”
“No.”
He knew he would never be able to tell her how grateful he was that she had not hesitated before answering.
“Rand, you aren’t afraid . . . ” They were alone, but she looked around and still lowered her voice. “Moiraine Sedai says you don’t have to touch the True Source.   What if I can’t stop? I never tried to wield it, not even at the Eye. What if I can’t stop?
“Will you go home, Rand? Your father must be dying to see you. Even Mat’s father must be dying to see him by now. I’ll be coming back to Emond’s Field next year. For a little while, at least.”
He rubbed his palm over the hilt of his sword, feeling the bronze heron. My father. Home. Light, how I want to see . . . “Not home.” Someplace where there aren’t any people to hurt if I can’t stop myself. Somewhere alone. Suddenly it felt as cold as snow on the balcony. “I’m going away, but not home.” Egwene, Egwene, why did you have to be one of those . . . ? He put his arms around her, and whispered into her hair. “Not ever home.”
In Agelmar’s private garden, under a thick bower dotted with white blossoms, Moiraine shifted on her bedchair. The fragments of the seal lay on her lap, and the small gem she sometimes wore in her hair spun and glittered on its gold chain from the ends of her fingers. The faint blue glow faded from the stone, and a smile touched her lips. It had no power in itself, the stone, but the first use she had ever learned of the One Power, as a girl, in the Royal Palace in Cairhien, was using the stone to listen to people when they thought they were too far off to be overheard.
“The Prophecies will be fulfilled,” the Aes Sedai whispered. “The Dragon is Reborn.”


LAST DANCE A film review by David N. Butterworth Copyright 1996 David N. Butterworth/The Summer Pennsylvanian
Directed by: Bruce Beresford Rating: ** (Maltin scale)
During the last half century, only one woman has been tried and executed for her crimes. Unfortunately for the producers of LAST DANCE, this capital punishment movie fails to generate enough interest even to raise the question "Is this *that* woman's story?"
Following on from last year's Academy Award nomination for her supporting role in CASINO, Hollywood fave Sharon Stone continues her bid for recognition as a Serious Actor. After a diabolically-dreary turn in DIABOLIQUE, Stone returns to serious cinema in a film that is seriously and uncompromisingly average. As death row inmate Cindy Liggett, Stone--sans makeup and with a Meryl Streep-inspired Southern drawl--plays a convicted killer who has been in the state penitentiary awaiting the death penalty for 12 years. With three stays of execution by a sympathetic judge yet little hope for ultimate mercy, Stone's character is one that is beaten and broken and ready to die.
Enter Rick Hayes (NORTHERN EXPOSURE's Rob Morrow), an inexperienced attorney who is assigned to review Liggett's case for the Clemency Board. Expected to follow standard operating procedure to an inevitable outcome, Hayes instead finds himself drawn into a personal relationship with Liggett as he investigates her crime. Although there is no question that she is guilty--as a teenaged crackhead, Liggett cold-bloodedly beat to death two high schoolers--Hayes discovers a changed woman in Liggett and seeks to have her sentence commuted. Only a compassionate nod from the Governor can save her from death by lethal injection as Hayes fights to uncover discrepancies in her original defense trial.
But this is not a brutal, hard-hitting expose of life behind bars, which might have made for better drama. The worst the women prisoners appear to endure is a steady diet of television soap operas and game shows! LAST DANCE's focus is on the relationship between Liggett and Hayes, and this is where it falls down. These two characters are similar in so much as no one has expected anything of them in life, but otherwise there is simply no chemistry between the two, for which we can blame both the weak script and Morrow's featherweight performance as Hayes. The film lacks emotional punch right up until the climactic scenes, when Stone finally gives it her all in glorious Technicolor.
Word-of-mouth and obvious comparisons to the superior DEAD MAN WALKING should kill LAST DANCE off at the box office. Sharon Stone fans are about the only potential audience and they will be treated to a decent Sharon Stone performance coupled with an atypical, anti-glamorous Sharon Stone look. She certainly does the best she can with the paper-thin material--LAST DANCE is unlikely to hurt her career.
Veteran Australian director Bruce Beresford (BREAKER MORANT) is no stranger to plots centering around civic injustice, but he plays this outing way too safe, failing to inject any life or depth into the proceedings. If there was an opportunity for originality or creativity here then Beresford missed the boat. LAST DANCE fails to satisfy as astute character study, provocative political treatise, or even camp women-in-chains potboiler.
As dances go, this is a slow one-step with no chance of appeal.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
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Error 301
This site has been Moved Permanently
Redirecting to the new BannerBombProxy
If you are not automatically redirected
6


Crowd2Map Mapping
5012
buildings
by
Oct 1, 2015
Mapping data helps activists better reach girls, and plan their outreach work.


Predictive analytics is considered an advanced analytics technique. Advanced analytics methods differ from traditional ones in that they help businesses gaze forward instead of backward. So instead of what happened? You ask, what is likely to happen? For example, will this elevator require repair in 50 more hours of service? Or even, as your experience and expertise in analytics grows, what are we going to do about it? Or—most excitingly—as we help you master advanced analytics, you simply trust the system and factor its predictions into your decisions forward.
Our models dramatically improves over previous approaches to text classification, and the code and pre-trained models allow anyone to leverage this new approach to better solve problems such as:
Finding documents relevant to a legal case;
Identifying spam, bots, and offensive comments;
Classifying positive and negative reviews of a product;
Grouping articles by political orientation;
Businesses have their own idiosyncratic scenarios which they'd like to overlay on past performance to evaluate forward looking analytics. Path dependence and cyclical mean reversion of key performance indicators contradict with the general nature of business to innovate and break out of past ranges. We're here to bring you the best visualizations and help you make decisions. New innovative analytics capabilities include illustrative and interactive forms of visualization, complex event processing, rule engines, natural language query, mobile analytics, and gamification. As analytics become more available at the point of decision, the expanded set of users will require collaborative, and real-time tools to dig into business data
Best-in-class algorithms from Python, Spark, Pytorch, TensorFlow, and other sources is constantly expanding and at your disposal. With one line of code or a single click, DataRobot trains, tests, and compares hundreds of different models, including techniques you may never have used from languages or projects you may not be familiar with.
ADB automatically identifies the best pre-processing, feature engineering, and model validation for each modeling technique, and scientifically selects the hyper-parameters and options that optimize the performance of your models. Of course, the platform also allows you to select your own tuning parameters and do custom feature engineering.
With the powerful ADB API you can immediately put any model into production with just a few lines of code, regardless of whether you need real-time predictions, batch deployments, or scoring on Hadoop. Update your models with no downtime and no need to write new scoring code…ever.
ADB Analytics gives you access to hundreds of the latest machine learning algorithms, with full transparency and control over the model building and deployment process. Tap into the best practices of Kaggle-ranked data scientists to automate the data pre-processing, feature engineering and parallel model building process. Then, use your domain expertise to find the best solution for your project and put it into production with just a few lines of code.
Want to find out how ADB Analytics can engage and deliver results?


No.
Some text editors do something special with binary files. The editor in the screen shot below shows the bit pattern in each byte of "intData.dat". This is sometimes called a hex dump because it shows bit patterns using two hexadecimal characters per byte. On a Unix system use the "od" command at the command line. On a Windows system use Developer Studio (as below) or the free editor Code-Genie http://www.code-genie.com/ to see a hex dump.
The six zeros at the beginning of the line mean that the first byte shown is byte zero of the file. I drew in the red brackets under each integer. Four integers were written to the file, so there are four brackets. Each bracket shows the four bytes of the integer. Notice that nothing separates the integers! The bit pattern of one integer follows the next with nothing in between. There is no space character or end-of-line character between the four bytes of each integer. I knew where to draw the red brackets because I knew what data the program wrote to the file. Without knowing this, there is no way to decide what bytes should be grouped together.
The first variable in the program contained a zero.
The pattern above the first bracket shows the
32-bit pattern that represents zero.
Each "0" in the dump stands for four bits with
value zero.
So the 32-bit pattern for zero is
00000000000000000000000000000000
Don't worry about these details; the idea is to show that the file contains bit patterns corresponding to the way integers are represented inside the processor. You will get much more of this stuff in a course in assembly language.
The second group is a 32-bit representation of one. The third group represents 255. The hexadecimal character "F" represents four bits with value one. So the value 255 is represented by 24 zero bits followed by 8 one bits.


This is a paragraph and here's a link about wired-button and well
well
well, what do you know, same link with more elevation wired-button
.
Here's another link that opens in a new tab about wired-input
. Lorem ipsum dolor sit amet, consectetur adipiscing elit, sed do eiusmod tempor incididunt ut labore
et dolore magna aliqua.
Close dialog


LME copper set for second weekly drop on U.S.-China trade angst
by ReutersMANILA — Benchmark London copper prices slipped on Friday, set for a second straight weekly decline, on conflicting signals over an interim trade deal between the world’s two biggest economies.
Three-month copper on the London Metal Exchange was down 0.2% at $5,820.50 a tonne, as of 0416 GMT.
The most-traded copper contract on the Shanghai Futures Exchange was down 0.5% at 46,880 yuan ($6,667.43) a tonne by the midday break.
Worries over a “phase one” trade deal, though, were tempered after China said it was willing to work with the United States to resolve core trade concerns, trying to allay fears that talks might be unraveling.
A report in the Wall Street Journal meanwhile cited that China has invited top U.S. trade negotiators for a new round of face-to-face talks in Beijing.
While supply issues supported prices as the copper market is in deficit this year and probably also in 2020, demand prospects remained clouded amid global economic slowdown.
Data on October industrial profits in China, the world’s top copper consumer, should signal that its economy has been reeling under the trade spat with the United States, said ING economist Prakash Sakpal.
Data on China’s industrial profits is due next week.
“The latest news hasn’t been very good. First, the postponement of the deal signing to December, and now probably to 2020,” Sakpal said, adding that just about a month ago, things on the trade front were moving in the desired direction with both sides nearing a “phase one” deal.
FUNDAMENTALS: The global world refined copper market was in a 330,000 tonnes deficit for the first eight months of the year, compared with a 268,000 tonnes deficit in the same period a year earlier, according to the International Copper Study Group.
TREATMENT CHARGES: Miner Freeport-McMoRan Inc and three Chinese copper smelters agreed a 23% cut in annual treatment and refining charges (TC/RCs) for 2020, pushing the industry benchmark to a nine-year low.
GLOBAL GROWTH: The global economy is growing at the slowest pace since the financial crisis as governments leave it to central banks to revive investment, the OECD said in an update of its forecasts.
RARE EARTHS: China will accelerate the launch of futures contracts for rare earths, used in devices such as mobile telephones and batteries, an official of the Shanghai Futures Exchange said on Friday.
COPPER: Rio Tinto faces renegotiating the terms of an agreement underpinning its Mongolian copper mine project, after lawmakers on Thursday approved plans to revise the deal to make it more beneficial for Mongolia.
NICKEL: The global nickel market deficit widened to 3,200 tonnes in September from a revised shortfall of 300 tonnes the previous month, the International Nickel Study Group said.
OTHER PRICES: LME Nickel was virtually trading flat, while ShFE nickel was up 0.1%, LME tin gained 0.4%. ShFE tin rallied 1.9%, LME aluminum advanced 0.5%, while ShFE aluminum was almost steady.
PRICES
Three month LME copper
Most active ShFE copper
Three month LME aluminum
Most active ShFE aluminum
Three month LME zinc
Most active ShFE zinc
Three month LME lead
Most active ShFE lead
Three month LME nickel
Most active ShFE nickel
Three month LME tin
Most active ShFE tin
ARBS
($1 = 7.0312 yuan) (Reporting by Enrico dela Cruz; Editing by Subhranshu Sahu and Sherry Jacob-Phillips)


---
layout: archive
title: Lean Prover Zulip Chat Archive
permalink: 116395maths/56145listmaximumshouldreturnoption.html
---
The archive URL format has changed. Please find this page at:
https://leanprover-community.github.io/archive/stream/116395-maths/topic/list.2Emaximum.20should.20return.20option.html


transition effects can take many forms. click on the name of the desired effect.
the slideshow pauses if a mouse is hovered over a slide.
- blindX
- blindY
- blindZ
- cover
- fade
- fadeZoom
- growX
- growY
- none
- scrollUp
- scrollDown
- scrollLeft
- scrollRight
- shuffle
- toss
- turnUp
- uncover


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Survival Island, Game Development:
- Project Type:
- Individual Project
- Genre:
- Role Playing Game (RPG)
- Game Engine:
- Unity3D
- Platform:
- Mac OSX, Windows & Web
- Demo:
- http://falcon.acadiau.ca/~093997s/games/Island_Web.html
Project Description:
This project is based on a tutorial, which includes functions of the Unity3D and concepts of designing and developing a video game. The environment is the most successful part over this project, involving shaders, textures, skybox, hills, environmental sound, smoke/fire (Particle Effects), fog, 3D modelling and lights.
This game is cross-platform. It can be built on Windows, Mac and Web. C# is used as scripting language. Listener/Collider functions are widely implemented, for actions or plots are triggered if a player meets conditions such as the door opening automatically when a player collects all batteries and is close to the door.
Game Description:
Main character has awoken on a desert island, with only an active volcano and a mysterious cabin for company. The goal is to survive by lighting a fire to signal for help and keep warm. In order to light the fire the player must acquire the matches that are locked away in the cabin. To unlock the cabin the player must pick up several power cells to fuel the generator that powers the door to the cabin. This would be simple except that the final power cell is locked into a minigame requiring the player to knock down timed targets at a coconut shy shooting gallery—knock them all down simultaneously, and the player will win that all important final cell!
Key words: Unity3D, Game Concepts, Graphics Design and C# Programming
|
|
Korosu, Game Development:
- Project Type:
- Group Project
- Genre:
- First Person Shooter (FPS)
- Players:
- Expected Players: 2-8 (Network Multi-player)
- Game Engine:
- Unity3D
- Platform:
- Mac OSX, Windows & Web
- Comment/Feedback:
- ==> CLICK HERE!! <==
- Demo:
- http://falcon.acadiau.ca/~093997s/games/korosu.html
[Note: if a player is host, then other players press "connect" button to join the game]
High Level Concept Statement:
To provide players with a fun, fast paced multi-player first person shooter experience. Also, if time allows, with a co-op survival mode.
Design Goals:
To have the player react quickly to their surroundings and other players in order to kill the other players as quickly and efficiently as possible while staying alive. This gives the player a sense of accomplishment by thinking strategically to outplay the other players.
Project Description:
Responsible for designing the environment of the game, programming the actions (listeners), testing the games and fixing bugs. Good communication and collaboration largely improve the efficiency.
Key words: Unity3D, Game Concepts, Graphics Design and C# Programming
|
|
3D Maze, Computer Graphics:
Individual project, responsible for developing a maze and building it into a 3D model on Unix/Linux system by using C++ programming language and OpenGL. Maze is created randomly, so each time cells of maze are built differently
Programming abilities, understanding of OpenGL and algorithm of constructing a 3D maze with computing coordination play key roles in this project.
Key words: OpenGL, Analysis of Algorithms and C++ Programming
|
|
Enigma, Java Programming 2:
In a team of 2, using Java, solely responsible for writing algorithms of an enigma machine to encipher texts into secret coded messages and decipher the messages into readable texts
Key words: Analysis of Algorithms, Java Programming and Java GUI Design
|
|
Online Book Store, Software Engineering 1:
In a 2 member-project, solely responsible for writing an UML diagram, designing structures of this online book store and accomplishing tasks into Java codes.
Key words: UML Diagrams and Java Programming
|


Lorem Ipsum is simply dummy text of the printing and typesetting industry. Lorem Ipsum has been the industry's standard dummy text ever since the 1500s, when an unknown printer took a galley of type and scrambled it to make a type specimen book. It has survived not only five centuries, but also the leap into electronic typesetting, remaining essentially unchangedIt was popularised in the 1960s with the release of Letraset sheets containing Lorem Ipsum passages, and more recently with desktop publishing software like Aldus PageMaker including versions of Lorem Ipsum.


Dynamically Add and Remove SlickGrid instances
Add
Total Grids Showing:
0
Total Grids Added:
0
Total Stylesheets:
0
Remove
Grids
Style Contents


FILM REVIEW: Austin Powers: The Spy Who Shagged Me (1999)
Austin Powers has gone mainstream. The original Austin Powers: International Man of Mystery came from nowhere. Saturday Night Live alum Mike Myers gambled with a quirky concept and a ridiculous character and won. It is one of the funniest movies of the decade and has become an instant classic. In contrast, a monstrous marketing campaign and unavoidable hype preceded Austin Powers: The Spy Who Shagged Me. Suddenly, white bread top-40 radio announcers and cheesy TV morning show hosts are making reference to Powerisms such as "groovy, baby" and "shagadelic." Myers' unlikely cult hero is pasted on billboards, bus stop signs, and on magazine ads everywhere. Unfortunately, while The Spy Who Shagged Me is packed with laughs, it is a far less clever and satisfying than the original.
The Spy Who Shagged Me starts where the first film left off, with Powers and his new bride, Vanessa Kensington (Elizabeth Hurley), on their honeymoon. Without spoiling the start of the film, I'll only say that things don't work out well for the newlyweds, and very quickly, Powers is back in action and single again. And it's not a minute too soon, because Dr. Evil is also back, scheming once again to dominate the globe. He is joined this time by a temperamental miniature clone of himself, "Mini-Me." Dr. Evil hatches a new world-domination plot centered around eliminating Powers' interference by going back in time and "stealing his Mojo" while also setting up a powerful laser on the moon. Powers follows Dr. Evil back to the sixties, and, with the help of a gorgeous CIA agent, Felicity Shagwell (Heather Graham), tries to once more thwart Dr. Evil's diabolical schemes.
Mike Myers' performance is once again brilliant as both lead roles. His comic timing, facial expressions, and willingness to do anything for a laugh set him alongside Jim Carrey one of the funniest entertainers today. Graham, sadly, is a disappointment. Unlike Hurley, Graham doesn't complement Myers very well. As Vanessa Kensington, Hurley provided a contrast and a challenge to Powers, while Shagwell is just a good-looking bimbo who wants to sleep with Powers. She has some good lines, but they are all just snappy come-ons instead of clever exchanges. Graham looks great in Bond-girl outfits, but they gave her Bond-girl airiness as well.
And yet, unlike the original Austin Powers, Myers' physical comedy and wacky characters drive The Spy Who Shagged Me, without the support of a decent story. The Spy Who Shagged Me abandons the fundamental premise of the original – that Austin Powers, and his arch-nemesis, Dr. Evil, were fish out of water, 1960s characters thrust into the vastly different world of the late 1990s. Much of the humor in the original Austin Powers film came from Dr. Evil and Austin Powers' struggles to adjust to today's attitudes and realities. In place of a decent story, The Spy Who Shagged Me substitutes juvenile bathroom humor. As if to try and out-do There's Something About Mary, this film has more than its share of bathroom humor – a shame, since the original was funnier without anywhere near as many junior-high gags.
Without the conflict of Powers not fitting in, the feel of the film shifts. Whereas the recurring joke in the first film was that Powers was an unattractive, ridiculously dressed, hairy pervert who was hopelessly out-of-date, in The Spy Who Shagged Me, he has become fashionable, irresistible to women, and in-tune with the times. Taking Powers and Evil back to the 1960s doesn't add much to the story. Except for the outfits and cars, most of the plot and story would have worked fine in the present day.
Still, while imperfect, The Spy Who Shagged Me is a lot of fun. It's worth the ticket price just to see the opening credit sequence (words can't do it justice), Dr. Evil's appearance on the Jerry Springer show, and any of Dr. Evil's tirades against his "not-evil-enough" son, Scott Evil (Seth Green). Also, the film does well by not taking itself too seriously. In one scene, as Powers prepares to go back in time to stop Dr. Evil, he begins asking the Chief of British Intelligence, Basil Exposition (Michael York), about the paradoxes and implications of his impact on the flow of time if he goes back to the sixties. York tells Powers not to worry about it and just "do what you always do: have a good time," then turns to the camera and says to the audience, "and that goes for you too!" Myers looks at the camera as well and nods in agreement.
The Spy Who Shagged Me offers a lot of laughs, but the film feels more like a long string of skits and memorable lines rather than a complete movie. It' s an enjoyable romp, but a far cry from its classic predecessor.
GRADE: B
Copyright 1999 Matt Pusateri Check out other film reviews, game reviews, features, and columns at The Separate Radio Volume Knob (http://www.pusateri.org/knob.htm)
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
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Related links: index of all rec.arts.movies.reviews reviews


Agents, you can now check the status of applicants assigned to you in real-time, see the changes updated by them, and request for processing.
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In this project, you'll use generative adversarial networks to generate new images of faces.
You'll be using two datasets in this project:
Since the celebA dataset is complex and you're doing GANs in a project for the first time, we want you to test your neural network on MNIST before CelebA. Running the GANs on MNIST will allow you to see how well your model trains sooner.
If you're using FloydHub, set data_dir
to "/input" and use the FloydHub data ID "R5KrjnANiKVhLWAkpXhNBe".
data_dir = './data'
# FloydHub - Use with data ID "R5KrjnANiKVhLWAkpXhNBe"
#data_dir = '/input'
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import helper
helper.download_extract('mnist', data_dir)
helper.download_extract('celeba', data_dir)
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
%matplotlib inline
import os
from glob import glob
from matplotlib import pyplot
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'mnist/*.jpg'))[:show_n_images], 28, 28, 'L')
pyplot.imshow(helper.images_square_grid(mnist_images, 'L'), cmap='gray')
The CelebFaces Attributes Dataset (CelebA) dataset contains over 200,000 celebrity images with annotations. Since you're going to be generating faces, you won't need the annotations. You can view the first number of examples by changing show_n_images
.
show_n_images = 25
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
mnist_images = helper.get_batch(glob(os.path.join(data_dir, 'img_align_celeba/*.jpg'))[:show_n_images], 28, 28, 'RGB')
pyplot.imshow(helper.images_square_grid(mnist_images, 'RGB'))
Since the project's main focus is on building the GANs, we'll preprocess the data for you. The values of the MNIST and CelebA dataset will be in the range of -0.5 to 0.5 of 28x28 dimensional images. The CelebA images will be cropped to remove parts of the image that don't include a face, then resized down to 28x28.

You'll build the components necessary to build a GANs by implementing the following functions below:
model_inputs
discriminator
generator
model_loss
model_opt
train
This will check to make sure you have the correct version of TensorFlow and access to a GPU
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
from distutils.version import LooseVersion
import warnings
import tensorflow as tf
# Check TensorFlow Version
assert LooseVersion(tf.__version__) >= LooseVersion('1.0'), 'Please use TensorFlow version 1.0 or newer. You are using {}'.format(tf.__version__)
print('TensorFlow Version: {}'.format(tf.__version__))
# Check for a GPU
if not tf.test.gpu_device_name():
warnings.warn('No GPU found. Please use a GPU to train your neural network.')
else:
print('Default GPU Device: {}'.format(tf.test.gpu_device_name()))
Implement the model_inputs
function to create TF Placeholders for the Neural Network. It should create the following placeholders:
image_width
, image_height
, and image_channels
.z_dim
.Return the placeholders in the following the tuple (tensor of real input images, tensor of z data)
import problem_unittests as tests
def model_inputs(image_width, image_height, image_channels, z_dim):
"""
Create the model inputs
:param image_width: The input image width
:param image_height: The input image height
:param image_channels: The number of image channels
:param z_dim: The dimension of Z
:return: Tuple of (tensor of real input images, tensor of z data, learning rate)
"""
# TODO: Implement Function
real_input_images = tf.placeholder(tf.float32, (None, image_width, image_height, image_channels), name='real_input_images')
z_input = tf.placeholder(tf.float32, (None, z_dim), name='z_input')
learning_rate = tf.placeholder(tf.float32, (), name='learning_rate')
return real_input_images, z_input, learning_rate
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_inputs(model_inputs)
def leaky_relu(x, alpha=0.2):
return tf.maximum(x * alpha, x)
def selu(x):
alpha = 1.6732632423543772848170429916717
scale = 1.0507009873554804934193349852946
tmp1 = scale * tf.nn.elu(x)
tmp2 = scale * alpha * (tf.nn.elu(-1*tf.nn.relu(-1*x)))
return tmp1 + tmp2
Implement discriminator
to create a discriminator neural network that discriminates on images
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "discriminator" to allow the variables to be reused. The function should return a tuple of (tensor output of the discriminator, tensor logits of the discriminator).
def discriminator(images, reuse=False):
"""
Create the discriminator network
:param images: Tensor of input image(s)
:param reuse: Boolean if the weights should be reused
:return: Tuple of (tensor output of the discriminator, tensor logits of the discriminator)
"""
# TODO: Implement Function
with tf.variable_scope('discriminator', reuse=reuse):
# assume that images have shape 28x28x?
layer1 = tf.layers.conv2d(images, 256, 5, strides=2, padding='same')
layer1_act = selu(layer1)
# 14x14
layer1x = tf.layers.conv2d(layer1_act, 128, 1, strides=1, padding='valid')
layer1x_act = selu(layer1x)
# 14x14
layer2 = tf.layers.conv2d(layer1x_act, 256, 5, strides=2, padding='same')
layer2_act = selu(layer2)
layer2_drop = tf.nn.dropout(layer2_act, keep_prob=0.7)
# 7x7
layer2x = tf.layers.conv2d_transpose(layer2_drop, 128, 1, strides=1, padding='valid')
layer2x_act = selu(layer2x)
# 7x7
layer2_rs = tf.reshape(layer2x_act, (-1, 7*7*128))
logits = tf.layers.dense(layer2_rs, 1)
output = tf.sigmoid(logits)
return output, logits
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_discriminator(discriminator, tf)
Implement generator
to generate an image using z
. This function should be able to reuse the variables in the neural network. Use tf.variable_scope
with a scope name of "generator" to allow the variables to be reused. The function should return the generated 28 x 28 x out_channel_dim
images.
def generator(z, out_channel_dim, is_train=True):
"""
Create the generator network
:param z: Input z
:param out_channel_dim: The number of channels in the output image
:param is_train: Boolean if generator is being used for training
:return: The tensor output of the generator
"""
# TODO: Implement Function
with tf.variable_scope('generator', reuse=not is_train):
layer1 = tf.layers.dense(z, 7*7*512)
layer1_rs = tf.reshape(layer1, (-1, 7, 7, 512))
layer1_act = selu(layer1_rs)
# 7x7
layer2 = tf.layers.conv2d_transpose(layer1_act, 256, 5, strides=2, padding='same')
layer2_act = selu(layer2)
# 14x14
layer2x = tf.layers.conv2d_transpose(layer2_act, 256, 1, strides=1, padding='valid')
layer2x_act = selu(layer2x)
# 14x14
res_layer2 = layer2_act + layer2x_act
logits = tf.layers.conv2d_transpose(res_layer2, out_channel_dim, 5, strides=2, padding='same')
# 28x28x?
output = tf.tanh(logits)
return output
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_generator(generator, tf)
Implement model_loss
to build the GANs for training and calculate the loss. The function should return a tuple of (discriminator loss, generator loss). Use the following functions you implemented:
discriminator(images, reuse=False)
generator(z, out_channel_dim, is_train=True)
def model_loss(input_real, input_z, out_channel_dim):
"""
Get the loss for the discriminator and generator
:param input_real: Images from the real dataset
:param input_z: Z input
:param out_channel_dim: The number of channels in the output image
:return: A tuple of (discriminator loss, generator loss)
"""
# TODO: Implement Function
g_model = generator(input_z, out_channel_dim)
d_model_real, d_logits_real = discriminator(input_real)
d_model_fake, d_logits_fake = discriminator(g_model, reuse=True)
d_loss_real = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_real, labels=tf.ones_like(d_logits_real) * 0.9))
d_loss_fake = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.zeros_like(d_logits_fake)))
g_loss = tf.reduce_mean(
tf.nn.sigmoid_cross_entropy_with_logits(logits=d_logits_fake, labels=tf.ones_like(d_logits_fake)))
d_loss = d_loss_real + d_loss_fake
return d_loss, g_loss
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_loss(model_loss)
Implement model_opt
to create the optimization operations for the GANs. Use tf.trainable_variables
to get all the trainable variables. Filter the variables with names that are in the discriminator and generator scope names. The function should return a tuple of (discriminator training operation, generator training operation).
def model_opt(d_loss, g_loss, learning_rate, beta1):
"""
Get optimization operations
:param d_loss: Discriminator loss Tensor
:param g_loss: Generator loss Tensor
:param learning_rate: Learning Rate Placeholder
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:return: A tuple of (discriminator training operation, generator training operation)
"""
# TODO: Implement Function
vars_ = tf.trainable_variables()
g_vars = [var for var in vars_ if var.name.startswith('generator')]
d_vars = [var for var in vars_ if var.name.startswith('discriminator')]
with tf.control_dependencies(tf.get_collection(tf.GraphKeys.UPDATE_OPS)):
d_opt = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=beta1).minimize(d_loss, var_list=d_vars)
g_opt = tf.train.AdamOptimizer(learning_rate=learning_rate, beta1=beta1).minimize(g_loss, var_list=g_vars)
return d_opt, g_opt
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
tests.test_model_opt(model_opt, tf)
"""
DON'T MODIFY ANYTHING IN THIS CELL
"""
import numpy as np
def show_generator_output(sess, n_images, input_z, out_channel_dim, image_mode):
"""
Show example output for the generator
:param sess: TensorFlow session
:param n_images: Number of Images to display
:param input_z: Input Z Tensor
:param out_channel_dim: The number of channels in the output image
:param image_mode: The mode to use for images ("RGB" or "L")
"""
cmap = None if image_mode == 'RGB' else 'gray'
z_dim = input_z.get_shape().as_list()[-1]
example_z = np.random.uniform(-1, 1, size=[n_images, z_dim])
samples = sess.run(
generator(input_z, out_channel_dim, False),
feed_dict={input_z: example_z})
images_grid = helper.images_square_grid(samples, image_mode)
pyplot.imshow(images_grid, cmap=cmap)
pyplot.show()
Implement train
to build and train the GANs. Use the following functions you implemented:
model_inputs(image_width, image_height, image_channels, z_dim)
model_loss(input_real, input_z, out_channel_dim)
model_opt(d_loss, g_loss, learning_rate, beta1)
Use the show_generator_output
to show generator
output while you train. Running show_generator_output
for every batch will drastically increase training time and increase the size of the notebook. It's recommended to print the generator
output every 100 batches.
import matplotlib.pyplot as plt
def train(epoch_count, batch_size, z_dim, learning_rate, beta1, get_batches, data_shape, data_image_mode, print_every=10, show_every=100, figsize=(5,5)):
"""
Train the GAN
:param epoch_count: Number of epochs
:param batch_size: Batch Size
:param z_dim: Z dimension
:param learning_rate: Learning Rate
:param beta1: The exponential decay rate for the 1st moment in the optimizer
:param get_batches: Function to get batches
:param data_shape: Shape of the data
:param data_image_mode: The image mode to use for images ("RGB" or "L")
"""
# TODO: Build Model
_, image_width, image_height, image_channels = data_shape
input_real, input_z, lr = model_inputs(image_width, image_height, image_channels, z_dim)
d_loss, g_loss = model_loss(input_real, input_z, image_channels)
d_opt, g_opt = model_opt(d_loss, g_loss, lr, beta1)
samples, losses = [], []
steps = 0
with tf.Session() as sess:
sess.run(tf.global_variables_initializer())
for epoch_i in range(epoch_count):
for batch_images in get_batches(batch_size):
# TODO: Train Model
steps += 1
batch_images *= 2
batch_z = np.random.uniform(-1, 1, size=(batch_size, z_dim))
_ = sess.run(d_opt, feed_dict={input_real: batch_images, input_z: batch_z, lr: learning_rate})
_ = sess.run(g_opt, feed_dict={input_real: batch_images, input_z: batch_z, lr: learning_rate})
if steps % print_every == 0:
train_loss_d = d_loss.eval({input_z: batch_z, input_real: batch_images})
train_loss_g = g_loss.eval({input_z: batch_z})
print("Epoch {}/{}...".format(epoch_i+1, epoch_count),
"Step {}".format(steps),
"Discriminator Loss: {:.4f}...".format(train_loss_d),
"Generator Loss: {:.4f}".format(train_loss_g))
losses.append((train_loss_d, train_loss_g))
if steps % show_every == 0:
show_generator_output(sess, show_n_images, input_z, image_channels, data_image_mode)
fig, ax = plt.subplots()
losses = np.array(losses)
plt.plot(losses.T[0], label='Discriminator', alpha=0.5)
plt.plot(losses.T[1], label='Generator', alpha=0.5)
plt.title("Training Losses")
plt.legend()
Test your GANs architecture on MNIST. After 2 epochs, the GANs should be able to generate images that look like handwritten digits. Make sure the loss of the generator is lower than the loss of the discriminator or close to 0.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 2
mnist_dataset = helper.Dataset('mnist', glob(os.path.join(data_dir, 'mnist/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, mnist_dataset.get_batches,
mnist_dataset.shape, mnist_dataset.image_mode)
Run your GANs on CelebA. It will take around 20 minutes on the average GPU to run one epoch. You can run the whole epoch or stop when it starts to generate realistic faces.
batch_size = 64
z_dim = 100
learning_rate = 0.0002
beta1 = 0.5
"""
DON'T MODIFY ANYTHING IN THIS CELL THAT IS BELOW THIS LINE
"""
epochs = 1
celeba_dataset = helper.Dataset('celeba', glob(os.path.join(data_dir, 'img_align_celeba/*.jpg')))
with tf.Graph().as_default():
train(epochs, batch_size, z_dim, learning_rate, beta1, celeba_dataset.get_batches,
celeba_dataset.shape, celeba_dataset.image_mode)
When submitting this project, make sure to run all the cells before saving the notebook. Save the notebook file as "dlnd_face_generation.ipynb" and save it as a HTML file under "File" -> "Download as". Include the "helper.py" and "problem_unittests.py" files in your submission.


---
layout: default
classes: wide
engine: #What was the primary engine used for this project?
platforms: [] #What platforms was this project for?
end_date: #When did this project end? The start date is this post's date
language: [] #What are the languages used for this project?
tools: [] #What tools were used for this project?
team_size: 1 #How many team members were in this project?
roles: [] #What roles did you take in this project?
project_short_summary: #Short summary about the project
project_summary: #What is the project about?
project_description: #What is the background of this project?
job_details: [] #List of all the exact stuff you did for this project
splash_image: #The main image shown at the top of the page
youtube_video_code: #The youtube project video code, if any (so the part after the youtube.com)
project_link_header: Project Link #The header for the project link.
project_link_button_text: Click to go to the download page!
project_link: #The project link, if any
gallery:
- url: #URL to go to when you click on the image
image_path: #URL of the image to show in the gallery
alt: #Alternate text for the image
title: #Title text for the image
---
{% if page.header.overlay_color or page.header.overlay_image or page.header.image %}
{% include page__hero.html %}
{% elsif page.header.video.id and page.header.video.provider %}
{% include page__hero_video.html %}
{% endif %}
{% if page.url != "/" and site.breadcrumbs %}
{% unless paginator %}
{% include breadcrumbs.html %}
{% endunless %}
{% endif %}
{% unless page.header.overlay_color or page.header.overlay_image %}
{{ page.title }}
{% endunless %}
{% if page.gallery.size > 1 %}
{% for item in page.gallery %}
-
{{item.title}}
{% endfor %}
{% else %}
{% for item in page.gallery %}
{{item.title}}
{% endfor %}
{% endif %}
{{ content }}
Project Summary
{{ page.project_summary | markdownify }}
Project Description
{{ page.project_description | markdownify }}
Job Details
{% for job in page.job_details %}
- {{ job }}
{% endfor %}
{% if page.youtube_video_code %}
Video
{% endif %}
{% if page.project_link %}
{% assign header_text = page.project_link_header | default: layout.project_link_header %}
{% assign button_text = page.project_link_button_text | default: layout.project_link_button_text %}
{{ header_text }}
{{ button_text }}
{% endif %}


In general, functions are objects, so we assign them to variable names with <-
. The function function
tells R you are about to define a function. The general form of a function definition looks like this:
my_function <- function(VARIABLE_NAME){
perform operations on VARIABLE_NAME and calculate VALUE
VALUE
}
The functions you define can have multiple arguments as well as default values. For example, we can define a function that computes either the arithmetic or geometric average depending on a user defined variable like this:
avg <- function(x, arithmetic = TRUE){
n <- length(x)
ifelse(arithmetic, sum(x)/n, prod(x)^(1/n))
}
# Create an avg function.
avg <- function(x, arithmetic = TRUE){
n <- length(x)
ifelse(arithmetic, sum(x)/n, prod(x)^(1/n))
}
# Use an avg function to find the average value in 1:5.
avg(1:5)


Programme Structuré
Horaire et plan d'études personnalisé
Test de niveau mensuel
Évaluation LIVE pour évaluer vos progrès
Rapport de progression
Comprendre et visualiser vos progrès pendant vos études.
Plan d'études personnalisé
Progressive lessons are
designed to improve your level naturally.
Devoirs
Devoirs personalisé avec corrections par votre professeur
Méthode de votre choix
Zoom, Skype ou par téléphone.
Chaque cours comprend: |
|
|---|---|
| Cours particuliers (25 minutes) | |
| Un test de niveau mensuel | |
| Plan de cours (curriculum) | |
| Exercices de grammaire | |
| Rapport de progression | |
| Interactive Study Materials | |
| Personalized Homework | |
| Linkedin badge (on completion of the course) |
Plan d'étude sur mesure?contactez-nous!
Fill in the free evaluation form and indicate a time that our certified evaluator can call you to assess your level of English proficiency. Our evaluation, developed by certified teachers and linguists, gives you an accurate, academic assessment of your English level pertaining to Grammar, Listening and Reading. After completion, you will have access to your student account where you will find your schedule, curriculum, academic content and progress report.
- CLOSE -English-by-Phone personalized learning plan approaches focus on strengthening your learning process by becoming aware of your individual learning needs, identifying and applying learning strategies that work best for you. Personalization is an important approach to learning, because not every student learns in exactly the same way and for that reason we provide you a course plan that meets your needs in order to reach your goals. Each GROUP course plans are based on 8 to 12 monthly live lessons + one individual assessment. One-on-one course plan can be customized to your desired schedule.
- CLOSE -Join your live class according to your pre-defined scheduled and selected course. All you need is a headset and internet connection. Classes are led by our native English speaking teachers and cover a different lesson each day sequentially to your academic plan. Our classes only allows a maximum of 6 students to guarantee you a satisfying learning experience while sharing with others who are at your same level of comprehension. During the lesson you will be able to ask questions, interact with your teacher or your classmates and enjoy a full online learning experience.
- CLOSE -After each class, you will receive a personalized class report from your teacher. This report will include: a list of your mistakes with the proper correction, recommendations and notes based on the area of study (e.g., grammar notes, vocabulary notes, etc.); pronunciation tips and audio files for you to understand the proper pronunciation; and an overall review of the live lesson with some recommendations on your performance.
- CLOSE -Once a month, you will attend a 1-on-1 session with a certified evaluator to assess your progress. Each test will be perform individually and will help us determinate if you meet all the oral and written skills to move to the next level. Before each assessment you will be require to complete a set of exercises, and once your evaluation is completed you will receive a full detailed report with the results per competence, which you will be able to track through our progress report.
- CLOSE -English-by-Phone ongoing progress report is alined with international standards and has been design to help you track your improvement since the first month. You can access it from your student account and it will be updated on a monthly basis after each assessment. Your progress report Includes consolidated information per competencies which will help you focus in any specific area of improvement. The report will also include consistent criteria for advancing from one proficiency level to another. The English-by-Phone teachers will monitor the progress you make in listening, speaking, reading, and writing.
- CLOSE -Get your badge or certificate. After you reach a new level, we'll provide you with a certificate level of proficiency which can be used to boost your qualifications in your resume. At English-by-Phone we'll make sure to make you feel confident to communicate effectively in real-life situations. your linkedIn profile and increase your number of views with our pre-designed badge of proficiency.
- CLOSE -Our General English courses are designed to improve every aspect of your English. Each lesson has clear objectives that contribute to your overall progress and moves you closer to achieving your language goal and take you all the way to fluency. See your confidence improve as we train you in all four communication skills: speaking, listening, reading and writing. You’ll also learn vocabulary and grammar, and how to speak in formal and informal discussions. This course is available at all levels from Elementary (A1) to Advanced (C2) and you will be placed in a class which is suitable for your level. English-by-Phone offers you a variety of materials and online resources, which combined with live speaking practices and individual assessments will guarantee you the necessary skill to be fluent in English.
- CLOSE -The TOEFL test is the most widely respected English-language test in the world, recognized by more than 9,000 colleges, universities and agencies in more than 130 countries, including Australia, Canada, the U.K. and the United States. At English-by-Phone we focus on test-taking strategies and highlight the academic English skills needed for exam success. The course includes TOEFL®-focused reading, writing, listening and speaking, plus practice exam questions and online simulation tests that mirror the real TOEFL. Group and private lessons are available for your convenience. One of our certified teacher will work directly with you to help you achieve a high score in this internationally recognized test.
- CLOSE -IELTS is the high-stakes English test for study, migration or work abroad. The IELTS test assesses your abilities in listening, reading, writing and speaking – in less than three hours. There are two types of the IELTS test: IELTS Academic and IELTS General Training. Listening and Speaking are the same for both tests, but the subject matter of the Reading and Writing components differs depending on which test you take. At English-by-Phone we had developed a complete course which will help you to: - Practice and develop skills and strategies by completing IELTS-style practice tests in reading, listening, speaking and writing. - Enjoy lessons that use modern, communication-centred activities, teaching methods and materials. - Develop your reading, writing, listening and speaking English skills during your privates and group lessons. Get comments and feedback from your academic advisor. - Follow your progress through your student account.
- CLOSE -For more than 30 years the TOEIC® test has been the global standard for measuring workplace English-language communication skills.More than 2000 international companies use TOEIC scores for English language assessment and employee selection. The focus of this class is to prepare students to successfully pass the TOEIC test. Our classes are kept small in order to ensure a high degree of student-teacher interaction. Average class-size is 6 to 8 students. Qualities makes the TOEIC tests the global standard for assessing English language proficiency in all four skills: listening, reading, speaking and writing. The TOEIC tests accurately measure English proficiency at all levels from Beginner levels, Intermediate levels, to Advanced levels. TOEIC Preparation course provide test takers with a complete source of information from TOEIC sample questions, TOEIC Speaking practice and TOEIC writing practice to help them familiarise and better prepare for the day of the test. The TOEIC Score Reports and TOEIC certificates provide essential information for both score users and test takers. These reports come along with a an assessment level and a description of the English-language strengths typical of test-takers performing at various score levels.-
- CLOSE -Improve your skills and take the next step in your career. Whether it's writing a CV and finding your first job in English or presenting to an international board of directors. Our business English course is the first step. Because a business relationship is like any relationship - it's built on good communication. Covering a wide range of business-related topics, this course incorporates role play, listening tasks, conversation dialogues, and grammar consolidation worksheets. The Business Topics course is ideal for building vocabulary, dealing with professional situations in English, and strengthening spoken fluency and written communication. The Business Topics course is suitable for intermediate English learners, which means you should have a solid foundation of English grammar, vocabulary, and some speaking and listening experience already. This course is perfect for entrepreneurs and business professionals who need to improve their English communication in the workplace. Our course starts with the basics, such as English telephone etiquette, key conversation vocabulary, writing a CV and sending an email. Progress to having a meeting in English, negotiating a deal and giving a successful presentation. You’ll also be taught how to perfect a professional email, letter and business writing skills. All with the help of our interactive courseware and native speaking teachers.
- CLOSE -Wherever you travel, speaking English will help you to make bookings, ask questions and get to the places you want to go. Regardless which country are you travelling to or the purpose of your trip, speaking English will make your life much easier. Class Summary Leave for your next trip abroad with the English language skills to navigate the world. Typical travel experiences are covered, including hotel bookings, airport scenarios, buying tickets, and making dinner reservations. There are plenty of opportunities to practice your new conversation skills with language partners. What Should I Know? This course is suitable for beginners and intermediate language learners. You don’t need any English-speaking experience, but bring lots of enthusiasm with you, and be prepared to work hard and have some fun while you’re at it. What Will I Learn? You’ll gain the tools you need to communicate in English while you travel: book hotels, deal with unforeseen problems at the airport, change your travel plans, book a restaurant, ask for directions, or buy tickets to a show. You’ll work with a partner to apply your new skills and vocabulary. Tasks are accompanied by colourful images and plenty of familiar travel situations Our travel English course will teach you how to confidently perform everyday tasks like booking flights or hotels, confirming reservations, and asking for directions. Once you have these skills: the world is open to you. To become a naturalized U.S. citizen, you must pass the naturalization test. At your naturalization interview, you will be required to answer questions about your application and background. You will also take an English and civics test. English-by-Phone has develop a complete course which will help you to get prepare for your English interview covering the three major components; speaking, reading and writing. Speaking Test Your ability to speak English will be determined by a USCIS Officer during your eligibility interview. During your private lessons you will have the opportunity to simulate with your teacher a real interview which will give you the confidence and neccesary skill to success in the real interview. Reading Test You must read aloud one out of three sentences correctly to demonstrate an ability to read in English. The Reading Test Vocabulary designed by English-by-Phone will help you study for the English reading portion of the naturalization test. The content focuses on civics and history topics. Writing Test You must write one out of three sentences correctly to demonstrate an ability to write in English. The Writing Test Vocabulary designed by English-by-Phone will help you study for the English writing portion of the naturalization test. The results will be review by your teacher who will provide you with comments and corrections.
- CLOSE -


Audtosuggest Module
Location:
Selected Location:
View Full Source Code
| Bing Maps v8 Quickstart Samples project


The Javascript behaviour can be used to catch events with javascript without making an AJAX request.
In the example, the "page" event is caught with pe:javascript. This will also destroy the paging functionality of p:datatable because no ajax request will be done.
So it should not be used for every event and every component. Following javascript parameters will be available in executes statement:
- source - client Id of the component which fires the event
- event - The name of the catched event
- params - The rendered params (f:param childrens of pe:javascript)
- ext - The object created by corresponding widget
The 'ext' parameter can be used for example to get the parameters which are created by the parent widget.
For example the colResize event of p:dataTable:
var ext = {
params: [
{ name: id + '_columnId', value : columnHeader.attr('id') },
{ name: id + '_width', value : newWidth },
{ name: id + '_height', value : columnHeader.height() }
]
};
id is the client Id of the datatable.
Notice: We can not provided a list with params, for this you should look at the PrimeFaces or PrimeFaces Extensions source.
${showcase:getFileContent('/sections/clientBehaviours/example-javascriptBehaviourAnother.xhtml')}


Demo
The convolution demo consists of a source image display, a control panel with ten
pre-loaded kernels, a display of kernel coefficients, and a destination
image display. Pressing a button loads the appropriate
kernel, performs a convolution between the source image and kernel, and displays the
the result in the destination image window. The kernel
is normalized by the sum of the coefficients, this
sum is shown in the center test field. If the sum
of the coefficients is zero, the sum is set to 1.0.
The kernel matrix text fields are editable and input
is restricted to valid integer or floating point
numbers. This allows investigation of various kernels
and their influence on the convolution operation.
The Custom button can be used to perform a convolution
with the new kernel. Please note that custom kernels
are not saved and pressing another kernel option will
erase the current kernel coefficients.
JAI
Pseudocode for the convolution operation on a single sample
dst[x][y] follows. Assume the kernel is of size
width by height and has already been rotated through 180
degrees. The kernel's Origin element is located at position
(xOrigin, yOrigin):
dst[x][y] = 0; for (int i = -xOrigin; i < -xOrigin + width; i++) { for (int j = -yOrigin; j < -yOrigin + height; j++) { dst[x][y] += src[x+i][y+j] * kernel[xOrigin+i][yOrigin+j]; } }Convolution, like any neighborhood operation, leaves a band of pixels around the edges undefined. For example, for a 3x3 kernel only four kernel elements and four source pixels contribute to the convolution pixel at the corners of the source image. Pixels that do not allow the full kernel to be applied to the source are not included in the destination image. A "Border" operation may be used to add an appropriate border to the source image in order to avoid shrinkage of the image boundaries. The kernel may not be bigger in any dimension than the image data.
A KernelJAI object is characterized by its width, height, and origin, or key element. The key element is the element which is placed over the current source pixel to perform convolution or error diffusion. In the case of ordered dithering an array of KernelJAI objects is actually required with there being one KernelJAI per band of the image to be dithered. For ordered dithering the location of the key element is irrelevant.
Theory
Convolution is a spatial operation that computes each
output sample by multiplying elements of a kernel with
the samples surrounding a particular source sample.
For each destination sample, the kernel is rotated 180 degrees and its "key element," or origin, is placed over the source pixel corresponding with the destination pixel. The kernel elements are multiplied with the source pixels beneath them and the resulting products are summed to produce the destination sample value.


{% extends 'layout.html' %}
{% block title %}Takeout{% endblock %}
{% macro package_download_table(package_download_endpoint, packages) %}
Date requested
Download link
Download a copy of information associated with your account
There are plans to add automatic tegaki and media packaging and export, but they currently aren't implemented.
Contact staff if you'd like to have your tegaki or media packaged and provided to you.
{#Because packaged downloads are much larger than account data downloads, requests may take a considerable amount of time to complete and may only be requested once a month (every 28 days).
{% if not request_tegaki_cooldown %} {% endif %} {% if not tegaki_packages %}No past tegaki package requests
{% else %}No past media package requests
{% else %}


| Start | End |
|---|---|
| {{jobExecutionStatus.startTime | date : 'long'}} | {{jobExecutionStatus.endTime | date : 'long'}} |
| Statistics | |
|---|---|
| URIs crawled | {{jobExecutionStatus.urisCrawled}} |
| Documents crawled | {{jobExecutionStatus.documentsCrawled}} |
| Documents denied | {{jobExecutionStatus.documentsDenied}} |
| Documents failed | {{jobExecutionStatus.documentsFailed}} |
| Documents out of scope | {{jobExecutionStatus.documentsOutOfScope}} |
| Documents retried | {{jobExecutionStatus.documentsRetried}} |
| State | {{execution.key}} | Count | {{execution.value}} |
|---|


After writing a What Can I Say description file it must be attached to its associated compiled grammar. This is done with the TIDYGRAM.EXE program. The syntax for this command is:
tidygram -ogrammarname -wdescription-file-name -dlabel-file-nameThe label-file-name is the name of a text file containing a short description of the grammar. For example, the contents of the label file associated with a grammar for IBM Works might be:
IBM Works Grammar
If you have a compiled grammar file named works.fsg, a What Can I Say description file named works.wcs, and a label file named works.txt then the tidygram command is:
tidygram -oworks.fsg -wworks.wcs -dworks.txt


French court to review dismissal of rape case against minister
PARIS (Reuters) - An appeal court must look again at whether a judge’s decision to dismiss an investigation into rape allegations against France’s budget minister was valid, a court ruled on Thursday.
The investigation into the allegations against Gerald Darmanin, who is a close political ally of President Emmanuel Macron and denies rape, was dropped in August 2018 when prosecutors said they could not establish “absence of consent”.
Darmanin has described the allegations as slander. He could not immediately be reached for comment on Thursday.
A re-opening of the investigation could harm Darmanin’s ambitions to stand next year in municipal elections which will be important for Macron if he is to anchor his fledgling LaRepublique en Marche party at the local level.
The woman accused Darmanin of coercing her into having sex in 2009 when she sought his help in having her criminal record cleared. She appealed against last year’s decision but the Paris Court of Appeal had said she did so too late.
On Thursday, the Cour de Cassation, which does not judge facts but only whether a decision by an appeal court conforms to law, told the Court of Appeal to review the judge’s initial ruling again.


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Payment Methods
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BPJS
Example exclusive breakpoints
one:
screen and (max-width:539px)
two:
screen and (min-width:540px) and (max-width:679px)
three:
screen and (min-width:680px) and (max-width:899px)
four:
screen and (min-width:900px)


Select to Compare Two Specific Jurisdictions (Most Recent Data Available)
Select Date:
June 26, 2020
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Country/Province/State 1
Alberta (Canada)
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FROM GEORGE DUKE PHONE +34 690 35 9947 Greeting, This letter might surprise you because we have met neither in person nor by correspondence. But I believe it is one day that you get to know somebody either in physical or through correspondence that iswhy i am now in spain making this contart please do call me on phone becaouse this is very urgent business. I got your contact through some discreet inquire from the chamber of commerce and industry,you and your company were revealed as being quite astute in private entreprenuership.one has no doubt in your ability to handle a financial business transaction. However, I am the first son of His Royal Majesty,WIWA DUKE and the traditional ruler of Eleme Province in the oil area of Rivers State of Nigeria. I am making this contact to you in respect of US 20,000,000.00 (twenty million United States Dollars) which I inherited from my late father the money was accumulated from royalties rapid to my father as compensation by the oil firms located in our area as a result of oil presence on our land which hamper agriculture which is our major source of livelihood. Unfortunately my father died from protracted diabetes. But before his death he called my attention and informed me that he lodged some funds on two boxes with a security firm with an open beneficiary status. The lodgment Security Code Number was also revealed to me, he then advised me to look for a reliable business partner abroad, who will assist me in investing the money in a lucrative business as a result of economic instability in Nigeria. So this is the main reason why I am contacting you for us to move this money from the security firm to any country of your choice for investment purposes. So I will like you to be the ultimate beneficiary, so that the funds can be moved in your name and particulary to any country of your choice where it will be claimed and invested. Hence my father have had intimated the security firm personnel that the beneficiary of the Box is his foreign partner whose particulars will be forwarded to the firm when due. But I will guide you accordingly. As soon as the fund reaches, I will then come over to meet you in person, so that we can discuss physically on Investment potentials. Based on this I and my family have unanimously decided to give you 20% of the total money, 2% for charity homes and 3% for expenses, which may arise during the transaction, fax and phone bills inclusive. The balance of 75% you will invest and manage for my family. I hereby guarantee you that this is not government money, it is not drug money and it is not money from arms deal. Though you have to maintain high degree of confidentiality on this matter. I will give you all proof of deposit and existence of money once assured and fully satisfied with your capability and honesty. I hope this will be the beginning of a prosperous relationship between my family and your family. Nevertheless if you are for any reason not interest, kindly inform me immediately so that I will look for another contact. I am waiting for your quick response. Yours faithfully PRINCE GEORGE DUKE


#include "ruby.h"
#include "digest.h"
Go to the source code of this file.
Functions | |
| static VALUE | bubblebabble_str_new (VALUE str_digest) |
| static VALUE | rb_digest_s_bubblebabble (VALUE klass, VALUE str) |
| static VALUE | rb_digest_class_s_bubblebabble (int argc, VALUE *argv, VALUE klass) |
| static VALUE | rb_digest_instance_bubblebabble (VALUE self) |
| void | Init_bubblebabble (void) |
Variables | |
| static ID | id_digest |
Definition at line 20 of file bubblebabble.c.
References LONG_MAX, rb_eRuntimeError, rb_raise(), rb_str_new(), RSTRING_LEN, RSTRING_PTR, and StringValue.
Referenced by rb_digest_class_s_bubblebabble(), rb_digest_instance_bubblebabble(), and rb_digest_s_bubblebabble().
| void Init_bubblebabble | ( | void | ) |
Definition at line 122 of file bubblebabble.c.
References id_digest, rb_define_method(), rb_define_module_function(), rb_define_singleton_method(), rb_digest_class_s_bubblebabble(), rb_digest_instance_bubblebabble(), rb_digest_s_bubblebabble(), rb_intern, rb_path2class(), and rb_require().
Definition at line 100 of file bubblebabble.c.
References bubblebabble_str_new(), id_digest, and rb_funcall2().
Referenced by Init_bubblebabble().
Definition at line 112 of file bubblebabble.c.
References bubblebabble_str_new(), id_digest, and rb_funcall().
Referenced by Init_bubblebabble().
Definition at line 88 of file bubblebabble.c.
References bubblebabble_str_new().
Referenced by Init_bubblebabble().
Definition at line 17 of file bubblebabble.c.
Referenced by Init_bubblebabble(), rb_digest_class_s_bubblebabble(), and rb_digest_instance_bubblebabble().


There is only one file - download "mksite.sh" from this website. You can either take it out of the tarball or you can go the the CVS area at the zziplib sourceforge project - look there into the "mksite-0" module for the file. Simply save this file along witht the content pages.
The mksite.sh is the website generator and it only requires normal posix shell tools in the system - most of the work is done with "sed", the current date is detected with "date". There is no dependency on any other tool especially none of the better scripting languages like perl or python.
The script is free - I was even thinking to give it away as public domain but then again I am maintainingg a central website for it and it would be quite cumbersome if someone would modify the script and redistribute it - with questions coming back to me about things that I am not responsible for. Therefore I took the zlib license which is only static the absolute minimum of requirements.