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| | Министерство культуры Российской Федерации Портал Культура.рф Проект «Образы России» |
The memorial estate Abramtsevo
“Russian artists in Abramtsevo in the 20 century”
The building was constructed in 1938, originally served as a sanatorium therapy center, which existed here in the 1930. It was opened to the public in 1971.
Currently, there is an exhibition of works by artists of the twentieth century (Pyotr Konchalovsky, A. Lentulov, I. Mashkov, A.Osmerkin, V.Rozhdestvensky, R. Falk), as well as works by I. Grabar, D. Shmarinov, N. Andronov, A. Vasnetsov, E. Maleina, D. Shmarinov, N Udaltsova and other artists. The collection of sculptures, by Vera Mukhina, B. Korolev, S. Tavasiev, etc is hosted here. Many of these artists have lived and worked in the holiday village of artists ""New Abramtsevo"", founded in 1930. Abramtsevo estate is quite near, on the opposite bank of the river Vorya.
Культура.рф © Портал культурного наследия России


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How We Make Our Salmon Cookies
First we feed all our salmons Freshley baked chocolate cookies made with nothing but organic ingrendents ,then we let them Swim Around and hangout for a while, once they are relaxed we put them through rigorous test to see if they Qulifay to bake us some Delicious Cookies , once they have passed all the required test with our inovative tranning programme we train them to bake us some Delicious cookies With our secret and organic ingredients Then we test those cookies for consistency of our trade marke smell and moistness to the pointthat when you take a bite you GO this is is The Best Salmon Cookies Ever


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public class GraphicsUtil
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static java.awt.geom.AffineTransform |
IDENTITY |
static java.awt.image.ColorModel |
Linear_sRGB
Standard prebuilt Linear_sRGB color model with no alpha
|
static java.awt.image.ColorModel |
Linear_sRGB_Pre
Standard prebuilt Linear_sRGB color model with premultiplied alpha.
|
static java.awt.image.ColorModel |
Linear_sRGB_Unpre
Standard prebuilt Linear_sRGB color model with unpremultiplied alpha.
|
static java.awt.image.ColorModel |
sRGB
Standard prebuilt sRGB color model with no alpha.
|
static java.awt.image.ColorModel |
sRGB_Pre
Standard prebuilt sRGB color model with premultiplied alpha.
|
static java.awt.image.ColorModel |
sRGB_Unpre
Standard prebuilt sRGB color model with unpremultiplied alpha.
|
static boolean |
WARN_DESTINATION |
| Constructor and Description |
|---|
GraphicsUtil() |
| Modifier and Type | Method and Description |
|---|---|
static java.awt.image.ColorModel |
coerceColorModel(java.awt.image.ColorModel cm,
boolean newAlphaPreMult)
Create a new ColorModel with it's alpha premultiplied state matching
newAlphaPreMult.
|
static java.awt.image.ColorModel |
coerceData(java.awt.image.WritableRaster wr,
java.awt.image.ColorModel cm,
boolean newAlphaPreMult)
Coerces data within a bufferedImage to match newAlphaPreMult,
Note that this can not change the colormodel of bi so you
|
static CachableRed |
convertToLsRGB(CachableRed src)
This method will return a CacheableRed that has it's data in
the linear sRGB colorspace.
|
static CachableRed |
convertTosRGB(CachableRed src)
This method will return a CacheableRed that has it's data in
the sRGB colorspace.
|
static void |
copyBand(java.awt.image.Raster src,
int srcBand,
java.awt.image.WritableRaster dst,
int dstBand) |
static void |
copyBand(java.awt.image.Raster src,
java.awt.Rectangle sR,
int sBand,
java.awt.image.WritableRaster dst,
java.awt.Rectangle dR,
int dBand) |
static void |
copyData_FALLBACK(java.awt.image.Raster src,
java.awt.image.WritableRaster dst) |
static void |
copyData_INT_PACK(java.awt.image.Raster src,
java.awt.image.WritableRaster dst)
An internal optimized version of copyData designed to work on
Integer packed data with a SinglePixelPackedSampleModel.
|
static void |
copyData(java.awt.image.BufferedImage src,
java.awt.image.BufferedImage dst)
Copies data from one bufferedImage to another paying attention
to the state of AlphaPreMultiplied.
|
static void |
copyData(java.awt.image.BufferedImage src,
java.awt.Rectangle srcRect,
java.awt.image.BufferedImage dst,
java.awt.Point destP)
Copies data from one bufferedImage to another paying attention
to the state of AlphaPreMultiplied.
|
static void |
copyData(java.awt.image.Raster src,
java.awt.image.WritableRaster dst)
Copies data from one raster to another.
|
static java.awt.image.WritableRaster |
copyRaster(java.awt.image.Raster ras)
Creates a new raster that has a copy of the data in
ras . |
static java.awt.image.WritableRaster |
copyRaster(java.awt.image.Raster ras,
int minX,
int minY)
Creates a new raster that has a copy of the data in
ras . |
static java.awt.Graphics2D |
createGraphics(java.awt.image.BufferedImage bi) |
static java.awt.Graphics2D |
createGraphics(java.awt.image.BufferedImage bi,
java.awt.RenderingHints hints)
This is a wrapper around the system's
BufferedImage.createGraphics that arranges for bi to be stored
in a Rendering hint in the returned Graphics2D.
|
protected static void |
divide_BYTE_COMP_Data(java.awt.image.WritableRaster wr) |
protected static void |
divide_INT_PACK_Data(java.awt.image.WritableRaster wr) |
static void |
divideAlpha(java.awt.image.WritableRaster wr) |
static void |
drawImage(java.awt.Graphics2D g2d,
CachableRed cr)
Draws
cr into g2d . |
static void |
drawImage(java.awt.Graphics2D g2d,
java.awt.image.renderable.RenderableImage filter)
Draws a
Filter (RenderableImage ) into a
Graphics 2D. |
static void |
drawImage(java.awt.Graphics2D g2d,
java.awt.image.renderable.RenderableImage filter,
java.awt.image.renderable.RenderContext rc)
Draws a
Filter (RenderableImage ) into a
Graphics 2D after taking into account a particular
RenderContext . |
static void |
drawImage(java.awt.Graphics2D g2d,
java.awt.image.RenderedImage ri)
Draws
ri into g2d . |
static java.awt.image.BufferedImage |
getDestination(java.awt.Graphics2D g2d) |
static java.awt.Rectangle |
getDestinationBounds(java.awt.Graphics2D g2d) |
static java.awt.image.ColorModel |
getDestinationColorModel(java.awt.Graphics2D g2d) |
static java.awt.color.ColorSpace |
getDestinationColorSpace(java.awt.Graphics2D g2d) |
static boolean |
is_BYTE_COMP_Data(java.awt.image.SampleModel sm) |
static boolean |
is_INT_PACK_Data(java.awt.image.SampleModel sm,
boolean requireAlpha) |
static java.awt.image.ColorModel |
makeLinear_sRGBCM(boolean premult)
Method that returns either Linear_sRGB_Pre or Linear_sRGB_UnPre
based on premult flag.
|
static java.awt.image.BufferedImage |
makeLinearBufferedImage(int width,
int height,
boolean premult)
Constructs a BufferedImage with a linear sRGB colorModel, and alpha.
|
static java.awt.image.WritableRaster |
makeRasterWritable(java.awt.image.Raster ras)
Coerces
ras to be writable. |
static java.awt.image.WritableRaster |
makeRasterWritable(java.awt.image.Raster ras,
int minX,
int minY)
Coerces
ras to be writable. |
protected static void |
mult_BYTE_COMP_Data(java.awt.image.WritableRaster wr) |
protected static void |
mult_INT_PACK_Data(java.awt.image.WritableRaster wr) |
static void |
multiplyAlpha(java.awt.image.WritableRaster wr) |
static CachableRed |
wrap(java.awt.image.RenderedImage ri)
Convertes any RenderedImage to a CacheableRed.
|
public static java.awt.geom.AffineTransform IDENTITY
public static final boolean WARN_DESTINATION
public static final java.awt.image.ColorModel Linear_sRGB
public static final java.awt.image.ColorModel Linear_sRGB_Pre
public static final java.awt.image.ColorModel Linear_sRGB_Unpre
public static final java.awt.image.ColorModel sRGB
public static final java.awt.image.ColorModel sRGB_Pre
public static final java.awt.image.ColorModel sRGB_Unpre
public static void drawImage(java.awt.Graphics2D g2d, java.awt.image.RenderedImage ri)
ri
into g2d
. It does this be
requesting tiles from ri
and drawing them individually
in g2d
it also takes care of some colorspace and alpha
issues.g2d
- The Graphics2D to draw into.ri
- The image to be drawn.public static void drawImage(java.awt.Graphics2D g2d, CachableRed cr)
cr
into g2d
. It does this be
requesting tiles from ri
and drawing them individually
in g2d
it also takes care of some colorspace and alpha
issues.g2d
- The Graphics2D to draw into.cr
- The image to be drawn.public static void drawImage(java.awt.Graphics2D g2d, java.awt.image.renderable.RenderableImage filter, java.awt.image.renderable.RenderContext rc)
Filter
(RenderableImage
) into a
Graphics 2D after taking into account a particular
RenderContext
.This method also attempts to unwind the rendering chain a bit. So it knows about certain operations (like affine, pad, composite), rather than applying each of these operations in turn it accounts for their affects through modifications to the Graphics2D. This avoids generating lots of intermediate images.
g2d
- The Graphics to draw into.filter
- The filter to drawrc
- The render context that controls the drawing operation.public static void drawImage(java.awt.Graphics2D g2d, java.awt.image.renderable.RenderableImage filter)
Filter
(RenderableImage
) into a
Graphics 2D.This method also attempts to unwind the rendering chain a bit. So it knows about certain operations (like affine, pad, composite), rather than applying each of these operations in turn it accounts for their affects through modifications to the Graphics2D. This avoids generating lots of intermediate images.
g2d
- The Graphics to draw into.filter
- The filter to drawpublic static java.awt.Graphics2D createGraphics(java.awt.image.BufferedImage bi, java.awt.RenderingHints hints)
bi
- The BufferedImage that the returned Graphics should
draw into.bi
stored in a rendering hint.public static java.awt.Graphics2D createGraphics(java.awt.image.BufferedImage bi)
public static java.awt.image.BufferedImage getDestination(java.awt.Graphics2D g2d)
public static java.awt.image.ColorModel getDestinationColorModel(java.awt.Graphics2D g2d)
public static java.awt.color.ColorSpace getDestinationColorSpace(java.awt.Graphics2D g2d)
public static java.awt.Rectangle getDestinationBounds(java.awt.Graphics2D g2d)
public static java.awt.image.ColorModel makeLinear_sRGBCM(boolean premult)
premult
- True if the ColorModel should have premultiplied alpha.premult
public static java.awt.image.BufferedImage makeLinearBufferedImage(int width, int height, boolean premult)
width
- The desired width of the BufferedImageheight
- The desired height of the BufferedImagepremult
- The desired state of alpha premultipliedpublic static CachableRed convertToLsRGB(CachableRed src)
src
is already in
linear sRGB then this method does nothing and returns src
.
Otherwise it creates a transform that will convert
src
's output to linear sRGB and returns that CacheableRed.src
- The image to convert to linear sRGB.src
who's data is in
linear sRGB.public static CachableRed convertTosRGB(CachableRed src)
src
is already in
sRGB then this method does nothing and returns src
.
Otherwise it creates a transform that will convert
src
's output to sRGB and returns that CacheableRed.src
- The image to convert to sRGB.src
who's data is in sRGB.public static CachableRed wrap(java.awt.image.RenderedImage ri)
If ri
is already a CacheableRed it casts it down and
returns it.
In cases where ri
is not already a CacheableRed it
wraps ri
with a helper class. The wrapped
CacheableRed "Pretends" that it has no sources since it has no
way of inteligently handling the dependency/dirty region calls
if it exposed the source.
ri
- The RenderedImage to convert.public static void copyData_INT_PACK(java.awt.image.Raster src, java.awt.image.WritableRaster dst)
src
- The source of the datadst
- The destination for the data.public static void copyData_FALLBACK(java.awt.image.Raster src, java.awt.image.WritableRaster dst)
public static void copyData(java.awt.image.Raster src, java.awt.image.WritableRaster dst)
Src
and
Dst
must have compatible SampleModels.src
- The source of the datadst
- The destination for the data.public static java.awt.image.WritableRaster copyRaster(java.awt.image.Raster ras)
ras
. This is highly optimized for speed. There is
no provision for changing any aspect of the SampleModel.
This method should be used when you need to change the contents
of a Raster that you do not "own" (ie the result of a
getData
call).ras
- The Raster to copy.ras
public static java.awt.image.WritableRaster copyRaster(java.awt.image.Raster ras, int minX, int minY)
ras
. This is highly optimized for speed. There is
no provision for changing any aspect of the SampleModel.
However you can specify a new location for the returned raster.
This method should be used when you need to change the contents
of a Raster that you do not "own" (ie the result of a
getData
call).ras
- The Raster to copy.minX
- The x location for the upper left corner of the
returned WritableRaster.minY
- The y location for the upper left corner of the
returned WritableRaster.ras
public static java.awt.image.WritableRaster makeRasterWritable(java.awt.image.Raster ras)
ras
to be writable. The returned Raster continues to
reference the DataBuffer from ras, so modifications to the returned
WritableRaster will be seen in ras.
This method should only be used if you need a WritableRaster due to
an interface (such as to construct a BufferedImage), but have no
intention of modifying the contents of the returned Raster. If
you have any doubt about other users of the data in ras
,
use copyRaster (above).
ras
- The raster to make writable.ras
).public static java.awt.image.WritableRaster makeRasterWritable(java.awt.image.Raster ras, int minX, int minY)
ras
to be writable. The returned Raster continues to
reference the DataBuffer from ras, so modifications to the returned
WritableRaster will be seen in ras.
You can specify a new location for the returned WritableRaster, this
is especially useful for constructing BufferedImages which require
the Raster to be at (0,0).
This method should only be used if you need a WritableRaster due to
an interface (such as to construct a BufferedImage), but have no
intention of modifying the contents of the returned Raster. If
you have any doubt about other users of the data in ras
,
use copyRaster (above).
ras
- The raster to make writable.minX
- The x location for the upper left corner of the
returned WritableRaster.minY
- The y location for the upper left corner of the
returned WritableRaster.ras
with it's upper left
hand coordinate set to minX, minY (shares it's DataBuffer
with ras
).public static java.awt.image.ColorModel coerceColorModel(java.awt.image.ColorModel cm, boolean newAlphaPreMult)
cm
- The ColorModel to change the alpha premult state of.newAlphaPreMult
- The new state of alpha premult.public static java.awt.image.ColorModel coerceData(java.awt.image.WritableRaster wr, java.awt.image.ColorModel cm, boolean newAlphaPreMult)
wr
- The raster to change the state of.cm
- The colormodel currently associated with data in wr.newAlphaPreMult
- The desired state of alpha Premult for raster.public static void multiplyAlpha(java.awt.image.WritableRaster wr)
public static void divideAlpha(java.awt.image.WritableRaster wr)
public static void copyData(java.awt.image.BufferedImage src, java.awt.image.BufferedImage dst)
src
- The sourcedst
- The destinationpublic static void copyData(java.awt.image.BufferedImage src, java.awt.Rectangle srcRect, java.awt.image.BufferedImage dst, java.awt.Point destP)
src
- The sourcesrcRect
- The Rectangle of source data to be copieddst
- The destinationdestP
- The Place for the upper left corner of srcRect in dst.public static void copyBand(java.awt.image.Raster src, int srcBand, java.awt.image.WritableRaster dst, int dstBand)
public static void copyBand(java.awt.image.Raster src, java.awt.Rectangle sR, int sBand, java.awt.image.WritableRaster dst, java.awt.Rectangle dR, int dBand)
public static boolean is_INT_PACK_Data(java.awt.image.SampleModel sm, boolean requireAlpha)
public static boolean is_BYTE_COMP_Data(java.awt.image.SampleModel sm)
protected static void divide_INT_PACK_Data(java.awt.image.WritableRaster wr)
protected static void mult_INT_PACK_Data(java.awt.image.WritableRaster wr)
protected static void divide_BYTE_COMP_Data(java.awt.image.WritableRaster wr)
protected static void mult_BYTE_COMP_Data(java.awt.image.WritableRaster wr)
Copyright © 2022 Apache Software Foundation. All Rights Reserved.


Strange fruit on red lines cross blue lines and die.
In the last moments of George Floyd’s life, he was lying on the ground, a terribly symbolic knee on his neck, begging for his life and crying for his mother. It was heartbreaking.
And it was broadcast across the world.
For those who are not Americans, you might wonder how the death of this man has led to riots, has led to the President of the United States threatening to shoot those responsible for “looting” (A threat which, if carried out, violates the oath of office Trump swore to uphold ).
But it’s shouldn’t be hard to understand. Colin Kaepernick lost his career and was vilified in the press for respectfully “taking a knee” during the National Anthem. Yet another uppity black person who didn’t know his place. You can’t protest peacefully. You can’t vote your way to equality if enough people vote against you.  What avenues are for protest are left?
Strange fruit on red lines cross blue lines and die.
Strange Fruit , started as a poem and later became that magnificent song by Billie Holiday singing about black people being lynched in the south and hanging from trees (like fruit). Listen to Jill Scott singing Strange Fruit.
Redlining , of course, is the historical US practice of keeping black people out of white neighborhoods.
The blue line, of course, represents the police.
In a recent study of US police use of force , we find that black people are two and a half times more likely to be killed by police than white people. The reasons are debated , but it’s a moot point. As The Guardian found in their comprehensive research of US police killings, US police routinely kill more people in days than other countries do in years . From that article:
In the first 24 days of 2015, police in the US fatally shot more people than police did in England and Wales, combined, over the past 24 years.
You can argue all you want about why police are killing more black people than white people, but this neatly sidesteps the issue of why US police are killing at all.
Despite that, I’ll sidestep that issue. I’ll even sidestep the issues of racial justice because there should be no need to belabor the point that being black in America is fraught with danger and discrimination. Instead, I want to point out where this could be leading.
The New Civil Rights Movement
The Civil Rights Movement of the 50s and 60s was people of all skin tones working together to end the widespread discrimination against blacks. The 14th Amendment guaranteed all US citizens “equal protection of the laws” and the 15th Amendment gave black people the right to vote.
After the 15th Amendment was passed, Thomas Peterson was the first black person to vote in the United States. The people in his town later raised money and gave him a gold medal celebrating this event. However, Jim Crow laws , mostly enacted in the Southern US, were passed with the goal of taking away this right.
These laws were largely successful. Redlining ensured that black people were not allowed to live in “white” communities and would be denied the economic opportunities that white people enjoyed. Education systems funded by property taxes meant that white children received better education than black children, which, in turn, helped to ensure that black people in the US would be economically disadvantaged.
But all of that pales in comparison to the thousands of black people who were lynched in the (mostly Southern) US , almost universally without legal repercussions. According to the NAACP :
From 1882-1968, 4,743 lynchings occurred in the United States. Of these people that were lynched 3,446 were black. The blacks lynched accounted for 72.7% of the people lynched. These numbers seem large, but it is known that not all of the lynchings were ever recorded. Out of the 4,743 people lynched only 1,297 white people were lynched. That is only 27.3%. Many of the whites lynched were lynched for helping the black or being anti lynching and even for domestic crimes.
These and many other issues helped drive the Civil Rights Movement, but today, many Americans don’t realize just how bloody that movement was. Sure, we know about the assassinations of Malcom X and Martin Luther King, Jr. And maybe you’ve a vague recollection of someone named Medgar Evers , but did you also know about George W. Lee , Lamar Smith , Dr. Thomas Brewer , Herbert Lee , William Moore , Louis Allen , James Chaney , Andrew Goodman , Michael Schwerner , James Reeb , Viola Liuzzo , Jonathan Daniels , Sammy Younge Jr. , Vernon Dahmer , Robert W. Spike , or Wharlest Jackson ?
No, you probably didn’t know most of those names (I certainly didn’t). The US school system largely omits the history of the Civil Rights Movement and to this day, it’s hard to get a full accounting of how many people died as a result of that movement, but in reading their stories, one thing becomes clear: many of them knew they might die, but they did what they did anyway. But we usually didn’t learn that in schools; it’s just not taught.
It’s a crime that we’re not taught about all of those people murdered for the crime of thinking that discrimination against black people is wrong.
These issues drove the Civil Rights Movement of the 50s and 60s, but George Floyd’s death, or the future death of another person like him, will drive the new Civil Rights Movement.
Thugs
I recently shared a video on Facebook that went viral and currently has over 20 million views. I was flooded with friend requests. So I decided to conduct an experiment. With the exception of those accounts who clearly appeared to be bots, I accepted all of those friend requests in an attempt to positively engage with those who had different worldviews from mine. My wife wasn’t happy about this and, I must admit, she was right. I learned quite a bit from that experiment, but the main takeaway was simply that Facebook isn’t the place to have nuanced discussions about political issues.
The latest trainwreck of conversation was by someone reading one of my posts about George Floyd’s death and the subsequent riots and simply replying “Oh well thugs are thugs after all.” Their subsequent comments flowed into anti-LGBT territory and a defence of Trump, just in case anyone misunderstood where their sympathies lay. These attitudes by those who ”friended” me on Facebook are very, very common.
Black people aren’t protesting against the death of George Floyd. They’re just thugs. And what are these thugs protesting against?
Christian Cooper (who happens to be black), a board member of the Audobon Society in New York, was bird watching when he asked a woman to leash her dog in an area where dogs weren’t allowed off leash. Her response (on camera) was to yell “I’m going to tell them there’s an African American man threatening my life!”

Trayvon Martin, a black teenager, was shot just for walking home.
Botham Shem Jean, also black, was relaxing in his own apartment when he was murdered by an off-duty police officer.
Oscar Grant (coincidentally, black), was held down by police and shot in the back.
In fact, one study of Deaths Due to Use of Lethal Force by Law Enforcement found:
Victims were ... disproportionately black with a fatality rate 2.8 times higher among blacks than whites ... [Black] victims were more likely to be unarmed than white or Hispanic victims.
Black children have been shot and killed by police for carrying toy guns or cell phones. Eric Garner was choked to death by police for selling cigarettes. In 2015, an average of two unarmed black people were killed each week by police in the United States .
A new Civil Rights Movement is starting in the United States.
It’s not about disenfranchisement.
It’s not about redlining.
It’s not about loss of job opportunities.
It’s about being murdered for being black.
There’s a new civil rights movement brewing in the United States of America and it’s long overdue.


{% extends "base.html" %} {% block content %}
Note: We Recommend using a fresh xpub (new wallet). First address "generation" on a wallet with many used addresses takes more time.


Standard dialog window template
You can read more about configuring the igx-dialog component in the README or the official documentation.


THE LAWNMOWER MAN A film review by Murray Chapman Copyright 1992 Murray Chapman
I saw "Stephen King's THE LAWNMOWER MAN" yesterday. Unfortunately, it looks like yet another Stephen King project has made a mediocre movie.
This movie is about research into virtual reality and intelligence enhancement. Resident Mad Scientist Pierce Brosnan takes the lovable and retarded man who mows his lawn and tries to increase his intelligence.
The movie's computer generated scenes are visually stunning, however the movie is so seriously flawed in other areas that I found myself squirming every time they switched to real life action.
The sets were dark and gloomy--I am surprised that nobody tripped over the equipment which littered the lab. The dialogue was *obviously* re-recorded: two characters talking in a large concrete room should have some sort of echo, right? The imminent presence of either (a) a supernatural force, or (b) massive computer power is signalled by puffs of smoke and/or flashing lights.
No character development. No plot surprises. Plenty of characters with vultures on their shoulders.
The only way in which this movie is similar to SK's short story is the fact that there is a Lawnmower Man in it: someone who mows lawns. SK *did not* write the screenplay, nor does his name appear anywhere but in the title. (He was not an executive producer or anything like that.)
Virtual reality was handled *much* *much* *much* better in BRAINSTORM. Go and see THE LAWNMOWER MAN if you want ten minutes of stunning computer graphics and 90 minutes of B-grade plot.
Stephen King has declared himself an unabashed fan of B-grade movies. Well, he should be just thrilled to bits with this one. It has all of the cliches' of horror films from the 1950's, and likewise degenerates to a predictable apocalyptic ending.
Rating: 7 out of 10. (5 + 2 bonus for the SPFX)
Murray Chapman<EMAIL_ADDRESS>.
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
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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R&B, Soul & Hip hop
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Work hard to win NSMQ finals, First Deputy Speaker tells alma mater
Accra, Nov 15, GNA – Mr. Joseph Osei-Owusu, the First Deputy Speaker of Parliament, has challenged students of Juaben Senior High School (SHS), his alma mater, to work hard to win the National Science and Mathematics Quiz (NSMQ) and the Senior High Schools Debates Competitions, this academic year.
As his personal contribution to meet that challenge, he pledged to support the budget they would require to achieve the feat.
He reminded the students to dream big - strive for higher laurels.
“It’s the performance of students that makes schools famous and not just the sheer name of the school,” the First Deputy Speaker, who is also the Member of Parliament (MP) for Bekwai, added.
He said the time had come for the school that produced the likes of himself, the MP for Adansi Asokwa, Mr. K T Hammond, and many others to be counted among the best academic institutions in the country.
He was interacting with students of the SHS, who were on a familiarization visit to Parliament.
He asked that they applied themselves to the opportunities that the school offered them – to make maximum use of the little resources at their disposal.
He encouraged them to cultivate the habit of reading novels and story books irrespective of their courses, telling them that, "every knowledge you seek is in the book".
Reading, he said, would help them to learn fast and attain their life goals.
Mr. Osei-Owusu took them through the parliamentary proceedings and the oversight functions of the legislature.
Parliament provides a platform for the people’s representatives to debate all national issues and not just law making.
Mr. Richard Amponsah, the Government Subject Teacher of the SHS, said the school, which won the National Science Engineering Quiz competition in the past, was motivated by the First Speaker’s challenge to work harder for greater laurels.
He expressed confidence that the school would emerge among the top three of the NSMQ competition.
The students assured the First Deputy Speaker that they would go the extra mile to win the quiz and the debate finals.
GNA


IntroductionCredit: Guido van Rossum, creator of Python Network programming is one of my favorite Python applications. I wrote or started most of the network modules in the Python Standard Library, including the socket and select extension modules and most of the protocol client modules (such as ftplib). I also wrote a popular server framework module, SocketServer, and two web browsers in Python, the first predating Mosaic. Need I say more? Python's roots lie in a distributed operating system, Amoeba, which I helped design and implement in the late 1980s. Python was originally intended to be the scripting language for Amoeba, since it turned out that the Unix shell, while ported to Amoeba, wasn't very useful for writing Amoeba system administration scripts. Of course, I designed Python to be platform independent from the start. Once Python was ported from Amoeba to Unix, I taught myself BSD socket programming by wrapping the socket primitives in a Python extension module and then experimenting with them using Python; this was one of the first extension modules. This approach proved to be a great early testimony of Python's strengths. Writing socket code in C is tedious: the code necessary to do error checking on every call quickly overtakes the logic of the program. Quick: in which order should a server call accept, bind, connect, and listen? This is remarkably difficult to find out if all you have is a set of Unix manpages. In Python, you don't have to write separate error-handling code for each call, making the logic of the code stand out much clearer. You can also learn about sockets by experimenting in an interactive Python shell, where misconceptions about the proper order of calls and the argument values that each call requires are cleared up quickly through Python's immediate error messages. Python has come a long way since those first days, and now few applications use the socket module directly; most use much higher-level modules such as urllib or smtplib, and third-party extensions such as the Twisted framework, whose popularity keeps growing. The examples in this chapter are a varied bunch: some construct and send complex email messages, while others dwell on lower-level issues such as tunneling. My favorite is Recipe 13.11, which implements PyHeartBeat: it's useful, it uses the socket module, and it's simple enough to be an educational example. I do note, with that mixture of pride and sadness that always accompanies a parent's observation of children growing up, that, since the Python Cookbook's first edition, even PyHeartBeat has acquired an alternative server implementation based on Twisted! Nevertheless, my own baby, the socket module itself, is still the foundation of all network operations in Python. It's a plain transliteration of the socket APIsfirst introduced in BSD Unix and now widespread on all platformsinto the object-oriented paradigm. You create socket objects by calling the socket.socket factory function, then you call methods on these objects to perform typical low-level network operations. You don't have to worry about allocating and freeing memory for buffers and the likePython handles that for you automatically. You express IP addresses as (host, port) pairs, in which host is a string in either dotted-quad ('<IP_ADDRESS>') or domain-name ('www.python.org') notation. As you can see, even low-level modules in Python aren't as low level as all that. Despite the various conveniences, the socket module still exposes the actual underlying functionality of your operating system's network sockets. If you're at all familiar with sockets, you'll quickly get the hang of Python's socket module, using Python's own Library Reference. You'll then be able to play with sockets interactively in Python to become a socket expert, if that is what you want. The classic, highly recommended work on this subject is W. Richard Stevens, UNIX Network Programming, Volume 1: Networking APIs - Sockets and XTI, 2d ed. (Prentice-Hall). For many practical uses, however, higher-level modules will serve you better. The Internet uses a sometimes dazzling variety of protocols and formats, and the Python Standard Library supports many of them. In the Python Standard Library, you will find dozens of modules dedicated to supporting specific Internet protocols (such as smtplib to support the SMTP protocol to send mail and nntplib to support the Network News Transfer Protocol (NNTP) to send and receive Network News). In addition, you'll find about as many modules that support specific Internet formats (such as htmllib to parse HTML data, the email package to parse and compose various formats related to emailincluding attachments and encoding). I cannot even come close to doing justice to the powerful array of tools mentioned in this introduction, nor will you find all of these modules and packages used in this chapter, nor in this book, nor in most programming shops. You may never need to write any program that deals with Network News, for example; if that is the case, you don't need to study nntplib. But it is still reassuring to know it's there (part of the "batteries included" approach of the Python Standard Library). Two higher-level modules that stand out from the crowd, however, are urllib and urllib2. Each of these two modules can deal with several protocols through the magic of URLsthose now-familiar strings, such as http://www.python.org/index.html, that identify a protocol (such as http), a host and port (such as www.python.org, port 80 being the default for the HTTP protocol), and a specific resource at that address (such as /index.html). urllib is very simple to use, but urllib2 is more powerful and extensible. HTTP is the most popular protocol for URLs, but these modules also support several others, such as FTP. In many cases, you'll be able to use these modules to write typical client-side scripts that interact with any of the supported protocols much quicker and with less effort than it might take with the various protocol-specific modules. To illustrate, I'd like to conclude with a cookbook example of my own. It's similar to Recipe 13.2, but, rather than a program fragment, it's a little script. I call it wget.py because it does everything for which I've ever needed wget. (In fact, I originally wrote this script on a system where wget wasn't installed but Python was; writing wget.py was a more effective use of my time than downloading and installing the real thing.) import sys, urllib def reporthook(*a): print a for url in sys.argv[1:]: i = url.rfind('/') file = url[i+1:] print url, "->", file urllib.urlretrieve(url, file, reporthook) Pass this script one or more URLs as command-line arguments; the script retrieves them into local files whose names match the last components of the URLs. The script also prints progress information of the form: (block number, block size, total size) Obviously, it's easy to improve on this script; but it's only seven lines, it's readable, and it worksand that's what's so cool about Python. Another cool thing about Python is that you can incrementally improve a program like this, and after it's grown by two or three orders of magnitude, it's still readable, and it still works! To see what this particular example might evolve into, check out Tools/webchecker/websucker.py in the Python source distribution. Enjoy! |


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At Bieter Eye Center, we want you to feel connected and comfortable as soon as you walk through our front door. Our staff will address your needs in a reasonable, responsible and professional manner.
As you Meet Our Optometry Staff, you can be assured that our mission is to provide caring, professional and competent service at our Cottage Grove office. We will follow appropriate optometry guidelines, give solid advice, and have the determination to research a problem to find the best solution. You can be assured that all eyewear and lens materials that we use are the finest quality available to provide the best optics and vision. Bieter Eye Center is committed to providing the best eye care and products on the market for you.
Bieter Eye Center is located in Cottage Grove, MN. Our office is just minutes away from Woodbury, Inver Grove Heights and Hastings, MN as well as Prescott, WI.
Visit our Contact Us page for more information.
Doctors of Optometry are primary health care professionals who examine, diagnose, treat and manage diseases and disorders of the visual system, the eye, and associated structures as well as diagnose related systemic conditions.
They prescribe glasses, contact lenses, low vision rehabilitation, vision therapy, and medications as well as perform certain surgical procedures.
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Ken Block conquers Tianmen Mountain in Climbkhana 2 - video
Automotive media outlet Hoonigans have released the latest film starring drift purveyor, Ken Block.
by CarAdvice- shares
Darcy Foster • Ken Block is at it again.
Dubbed ‘Climbkhana Two’, the latest 'khana' video sees the rally and drift ace take on the 99-turn, 11km Tianmen Mountain road in China.
Ken’s ascent to ‘Heaven’s Gate’ (the literal Mandarin translation of ‘Tianmen’) required serious planning, but luckily he had one of the newest tools in his automotive arsenal for the job; the Hoonitruck.
Built by Detroit Speed Inc to Hoonigans exact specification, the Hoonitruck continues Block's recent design philosophy of turning classic vehicles into fire-breathing monsters, starting by the ‘Hoonicorn’ and continued with ‘The Cossie’ (below).
The Hoonitruck’s power comes from a twin-turbo V6 closely related to the Ford GT’s motor.
Thanks in part to a 3D-printed intake manifold from Ford Performance, the Hoonitruck produces 681kW and around 950Nm of torque.
Drive is sent to all four wheels through a six-speed sequential transmission, complete with a hydraulic handbrake to make those Scandi flicks a tad easier.
With its stance measured over two metres wide, the Hoonitruck uses a heavily-modified 1977 Ford F-150 body underpinned by a modular, custom-fabricated chassis.
This means that it's easier for mechanics to interchange significant portions of the vehicle – with projects/technical lead manager of Detroit Speed Inc, Chris Porter, stating replacing the tail section of the truck could take as little as "30 to 45 minutes".
Fifteen52 supplied custom wheels specifically for the Hoonitruck with 315/35 20 rubber from Toyo Tyres, and stopping force comes from six-piston Wilwood brake calipers with 14-inch (35.5cm) rotors.
As the Gymkhana video series has spread, Block has looked to take it abroad – including to Australia.
But unfortunately, the shoot was ultimately cancelled after stringent regulations were imposed on what the film crew could and couldn’t do.
"The higher we went up the tree, we got to a certain point where that person said, 'okay well, I'm allowing Hoonigan on my streets, okay if you only go the speed limit'," Block told CarAdvice.
Block and his team encountered similar reception from the government in Detroit when scouting locations for Gymkhana 3.
On a more positive note, he's promised more videos in the future with an electric-powered ‘Hoonicar’ on the way.
1
3
nextprevious
Ken Block conquers Tianmen Mountain in Climbkhana 2 - video


To the Arab my heart sails
For a moment my heart waits
It is my face that narrates
Ahhh ! My Heart always waits
Ehh! Sometimes it suffocates
However , it narrates
Nobody’s born smart. We all start at 0. Can’t talk, can’t walk, certainly can’t do algebra.
Adding, reading, writing, riding a bike. Nobody’s good at anything at first.
There was a time when Einstein couldn’t count to 10.
And Shakespeare had to learn his ABCs just like the rest of us.
Thankfully, we are born to learn.
Slowly. Surely.
Frustrating. Confusing. Trying. Struggling.
Until one day, you walk.
 One idea on top of the next.
Each wrong answer making your brain a little bit stronger.
Failing is just another word for growing. And you keep going.
This. is. learning.
It’s not that you don’t get it.
You just don’t get it, yet.
Because the most beautiful, complex concepts in the whole universe
are built on basic ideas that anyone, anywhere can understand.

You only have to know one thing:
You can learn anything.


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Stony Brook pays visit to NDSU
by Associated PressStony Brook (3-2) vs. North Dakota State (4-1)
American Bank Center, Corpus Christi, Texas; Sunday, 2 p.m. EST
BOTTOM LINE: Stony Brook and North Dakota State both look to put winning streaks together . Each program earned a victory on Saturday. North Dakota State earned a 57-45 win at Texas A&M-Corpus Christi, while Stony Brook walked away with a 69-58 win over Texas Rio Grande Valley.
LEADING THE CHARGE: North Dakota State’s Tyson Ward has averaged 13 points and 6.4 rebounds while Vinnie Shahid has put up 10.8 points and 4.2 rebounds. For the Seawolves, Elijah Olaniyi has averaged 18.6 points and 5.2 rebounds while Andrew Garcia has put up 12.6 points and 5.6 rebounds.EFFICIENT ELIJAH: Olaniyi has connected on 41.4 percent of the 29 3-pointers he’s attempted and has made 9 of 16 over the last three games. He’s also converted 62.5 percent of his foul shots this season.
ASSIST DISTRIBUTION: The Bison have recently used assists to create baskets more often than the Seawolves. North Dakota State has 37 assists on 65 field goals (56.9 percent) across its previous three outings while Stony Brook has assists on 41 of 79 field goals (51.9 percent) during its past three games.
DID YOU KNOW: North Dakota State has committed a turnover on just 15.1 percent of its possessions this season, which is the second-best rate among all Summit League teams. The Bison have turned the ball over only 9.8 times per game this season.
___
For more AP college basketball coverage: https://apnews.com/Collegebasketball and http://twitter.com/AP_Top25
___
This was generated by Automated Insights, http://www.automatedinsights.com/ap, using data from STATS LLC, https://www.stats.com


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Speaker Introduction
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@@include('../includes/en/footer-additional.html')


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[t]Recommendations[/t]
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Refactored <my-counter> by 40 %
Documentation
https://github.com/counter-meister/counter-meister.github.io


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LockGuard Class
Definition at line
35
of
Mutex.hpp
Constructors
LockGuard
(
Mutex
& mtx_,
MutexOwner
& owner_)
Member Functions
void
Lock
()
void
Unlock
()
Member Variables
bool
locked
Mutex
&
mtx
MutexOwner
&
owner
Constructor Details
LockGuard Constructor
cmajor::util::LockGuard::LockGuard(
Mutex
& mtx_,
MutexOwner
& owner_)
Definition at line
34
of
Mutex.cpp
:
34
:
mtx
(
mtx_
)
,
owner
(
owner_
)
,
locked
(
false
)
35
{
36
Lock
(
)
;
37
}
Declaration at line
38
of
Mutex.hpp
Member Function Details
Lock Member Function
void
cmajor::util::LockGuard::Lock()
Definition at line
47
of
Mutex.cpp
:
48
{
49
owner
.
Push
(
mtx
.
Id
(
)
)
;
50
mtx
.
Lock
(
)
;
51
locked
=
true
;
52
}
Declaration at line
40
of
Mutex.hpp
Calls:
cmajor::util::Mutex::Id
,
cmajor::util::Mutex::Lock
,
cmajor::util::MutexOwner::Push
Called by:
Unlock Member Function
void
cmajor::util::LockGuard::Unlock()
Definition at line
54
of
Mutex.cpp
:
55
{
56
mtx
.
Unlock
(
)
;
57
owner
.
Pop
(
)
;
58
locked
=
false
;
59
}
Declaration at line
41
of
Mutex.hpp
Calls:
cmajor::util::Mutex::Unlock
,
cmajor::util::MutexOwner::Pop
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NTP 4.0.x does not run on SCO Unix prior to version <IP_ADDRESS>.0. If you need NTP on an older SCO Unix system and don't mind to modify your kernel, use 3.5.91 which has patches for SCO Unix 3.2.4.x. Apply the kernel modifications as described in XNTP on SCO <IP_ADDRESS>.
Delete the old SCO supplied NTP programs using the "custom" utility. Run the NTP configure program with CFLAGS="-b elf -K processor-type" for best results.
Run "tickadj -As" after every reboot to set the variables "clock_drift" and "track_rtc" to the right values.
Run "ntpd" with a high negative nice-value, i.e. "nice --19 ntpd" for best results.
More information on the way SCO Unix and NTP interact can be found in NTP on SCO Unix, which includes links to precompiled versions of NTP.
Kees Hendrikse, January 1999


A beautiful command-line prompt for node.js
Using prompt is relatively straight forward. There are two core methods you should be aware of: prompt.get()
and prompt.addProperties()
. There methods take strings representing property names in addition to objects for complex property validation (and more). There are a number of examples that you should examine for detailed usage.
Getting started with prompt
is easy. Lets take a look at examples/simple-prompt.js
:
var prompt = require('prompt');
//
// Start the prompt
//
prompt.start();
//
// Get two properties from the user: username and email
//
prompt.get(['username', 'email'], function (err, result) {
//
// Log the results.
//
console.log('Command-line input received:');
console.log(' username: ' + result.username);
console.log(' email: ' + result.email);
});
This will result in the following command-line output:
$ node examples/simple-prompt.js
prompt: username: some-user
prompt: email<EMAIL_ADDRESS>Command-line input received:
username: some-user
email<EMAIL_ADDRESS>In addition to prompting the user with simple string prompts, there is a robust API for getting and validating complex information from a command-line prompt. Here's a quick sample:
var schema = {
properties: {
name: {
pattern: /^[a-zA-Z\s\-]+$/,
message: 'Name must be only letters, spaces, or dashes',
required: true
},
password: {
hidden: true
}
}
};
//
// Start the prompt
//
prompt.start();
//
// Get two properties from the user: email, password
//
prompt.get(schema, function (err, result) {
//
// Log the results.
//
console.log('Command-line input received:');
console.log(' name: ' + result.name);
console.log(' password: ' + result.password);
});
Pretty easy right? The output from the above script is:
$ node examples/property-prompt.js
prompt: name: nodejitsu000
error: Invalid input for name
error: Name must be only letters, spaces, or dashes
prompt: name: Nodejitsu Inc
prompt: password:
Command-line input received:
name: Nodejitsu Inc
password: some-password
prompt
understands JSON-schema with a few extra parameters and uses revalidator for validation.
Here's an overview of the properties that may be used for validation and prompting controls:
{
description: 'Enter your password', // Prompt displayed to the user. If not supplied name will be used.
type: 'string', // Specify the type of input to expect.
pattern: /^\w+$/, // Regular expression that input must be valid against.
message: 'Password must be letters', // Warning message to display if validation fails.
hidden: true, // If true, characters entered will not be output to console.
default: 'lamepassword', // Default value to use if no value is entered.
required: true // If true, value entered must be non-empty.
before: function(value) { return 'v' + value; } // Runs before node-prompt callbacks. It modifies user's input
}
Alternatives to pattern
include format
and conform
, as documented in revalidator.
Using type: 'array'
has some special cases.
description
will not work in the schema if type: 'array'
is defined.maxItems
takes precedence over minItems
.maxItems
defined will require users to SIGINT
(^C
) before the array is ended.SIGINT
(^C
) is triggered before minItems
is met, a validation error will appear. This will require users to SIGEOF
(^D
) to end the input.For more information on things such as maxItems
and minItems
, refer to the revalidator repository.
Prompt, in addition to iterating over JSON-Schema properties, will also happily iterate over an array of validation objects given an extra 'name' property:
var prompt = require('../lib/prompt');
//
// Start the prompt
//
prompt.start();
//
// Get two properties from the user: username and password
//
prompt.get([{
name: 'username',
required: true
}, {
name: 'password',
hidden: true,
conform: function (value) {
return true;
}
}], function (err, result) {
//
// Log the results.
//
console.log('Command-line input received:');
console.log(' username: ' + result.username);
console.log(' password: ' + result.password);
});
Note that, while this structure is similar to that used by prompt 0.1.x, that the object properties use the same names as in JSON-Schema. prompt 0.2.x is backward compatible with prompt 0.1.x except for asynchronous validation.
Sometimes power users may wish to skip promts and specify all data as command line options.
if a value is set as a property of prompt.override
prompt will use that instead of
prompting the user.
//prompt-override.js
var prompt = require('prompt'),
optimist = require('optimist')
//
// set the overrides
//
prompt.override = optimist.argv
//
// Start the prompt
//
prompt.start();
//
// Get two properties from the user: username and email
//
prompt.get(['username', 'email'], function (err, result) {
//
// Log the results.
//
console.log('Command-line input received:');
console.log(' username: ' + result.username);
console.log(' email: ' + result.email);
})
//: node prompt-override.js --username USER --email EMAIL
A common use-case for prompting users for data from the command-line is to extend or create a configuration object that is passed onto the entry-point method for your CLI tool. prompt
exposes a convenience method for doing just this:
var obj = {
password: 'lamepassword',
mindset: 'NY'
}
//
// Log the initial object.
//
console.log('Initial object to be extended:');
console.dir(obj);
//
// Add two properties to the empty object: username and email
//
prompt.addProperties(obj, ['username', 'email'], function (err) {
//
// Log the results.
//
console.log('Updated object received:');
console.dir(obj);
});
You can use the prompt.history()
method to get access to previous prompt input.
prompt.get([{
name: 'name',
description: 'Your name',
type: 'string',
required: true
}, {
name: 'surname',
description: 'Your surname',
type: 'string',
required: true,
message: 'Please dont use the demo credentials',
conform: function(surname) {
var name = prompt.history('name').value;
return (name !== 'John' || surname !== 'Smith');
}
}], function(err, results) {
console.log(results);
});
Aside from changing property.message
, you can also change prompt.message
and prompt.delimiter
to change the appearance of your prompt.
The basic structure of a prompt is this:
prompt.message + prompt.delimiter + property.message + prompt.delimiter;
The default prompt.message
is "prompt," the default prompt.delimiter
is
": ", and the default property.message
is property.name
.
Changing these allows you to customize the appearance of your prompts! In
addition, prompt supports ANSI color codes via the
colors module for custom colors. For a
very colorful example:
var prompt = require("prompt");
//
// Setting these properties customizes the prompt.
//
prompt.message = "Question!".rainbow;
prompt.delimiter = "><".green;
prompt.start();
prompt.get({
properties: {
name: {
description: "What is your name?".magenta
}
}
}, function (err, result) {
console.log("You said your name is: ".cyan + result.name.cyan);
});
If you don't want colors, you can set
var prompt = require('prompt');
prompt.colors = false;
$ [sudo] npm install prompt
$ npm test
ArturoDuran


Hip Hop Dance
Competition Dataset
About This Page
The data would include information such as the competition name, the YouTube video link, the year of the competition, the dance team, the songs within the set, and the placing.
I hope to have others who are more knowledgeable about these competitions to help me fill in information
and to make this a collaborative effort. Here is a form that you can fill out if you would like to help! Hope you enjoy!


As the founder and CEO of Keshif (www.keshif.me), I work at the intersection of analytics, design, engineering, and business development. My goal is to provide innovative tools and consulting services to help organizations and individuals reach their data-driven insight and action goals.
I completed my Ph.D. in Computer Science at the University of Maryland as a member of the Human-Computer Interaction Lab. In my research, I created the basis of Keshif as the next-generation data exploration platform. My passion is providing refined, effective, principled solutions that lower barriers of complex tools and complex processes, i.e. solutions that are “as simple as possible, but not simpler”. My academic work in data visualization and analysis has been published and cited in various books, proceedings, and academic journals.


Meet Your Muslim Neighbour event to take place in South Surrey
Event to feature food, culture and Q&A
by Aaron HinksThe White Rock Muslim Association is to host an opportunity for Semiahmoo Peninsula residents to ‘Meet Your Muslim Neighbour.’
The annual free event, held Nov. 10 from 12 to 4 p.m. at the South Surrey Recreation and Arts Centre, is to feature presentations, booths on Islamic history, art, culture, food and “ample time to given for Q&A and discussions during the formal proceedings.”
“Meet Your Muslim Neighbour promises to be a unique and fun-filled afternoon about Islam and the Muslim community,” association chairman Dr. Farhan Haque wrote to Peace Arch News.
In 2017, former association chairman Asad Syed said the association knows of at least 150 Muslim families in the South Surrey and White Rock area.
“They’re from Pakistan, they’re from India, from Syria, Indonesia, Malaysia, all different backgrounds,” he said at the time.


Operations on triangular meshes based on 'VCGLIB'. This package integrates nicely with the R-package 'rgl' to render the meshes processed by 'Rvcg'. The Visualization and Computer Graphics Library (VCG for short) is an open source portable C++ templated library for manipulation, processing and displaying with OpenGL of triangle and tetrahedral meshes. The library, composed by more than 100k lines of code, is released under the GPL license, and it is the base of most of the software tools of the Visual Computing Lab of the Italian National Research Council Institute ISTI <http://vcg.isti.cnr.it>, like 'metro' and 'MeshLab'. The 'VCGLIB' source is pulled from trunk <https://github.com/cnr-isti-vclab/vcglib> and patched to work with options determined by the configure script as well as to work with the header files included by 'RcppEigen'.
| Version: | 0.18 |
| Depends: | R (≥ 3.1.0) |
| Imports: | Rcpp, grDevices, stats, utils |
| LinkingTo: | Rcpp, RcppEigen, RcppArmadillo |
| Suggests: | Morpho, rgl |
| Published: | 2018-09-28 |
| Author: | Stefan Schlager [aut, cre, cph], Girinon Francois [ctb] |
| Maintainer: | Stefan Schlager <zarquon42 at gmail.com> |
| BugReports: | https://github.com/zarquon42b/Rvcg/issues |
| License: | GPL-2 | GPL-3 | file LICENSE [expanded from: GPL (≥ 2) | file LICENSE] |
| Copyright: | see files COPYRIGHTS for detailed information Rvcg copyright details |
| URL: | http://github.com/zarquon42b/Rvcg, http://vcg.sf.net/ |
| NeedsCompilation: | yes |
| Citation: | Rvcg citation info |
| Materials: | NEWS |
| In views: | MedicalImaging |
| CRAN checks: | Rvcg results |
| Reference manual: | Rvcg.pdf |
| Package source: | Rvcg_0.18.tar.gz |
| Windows binaries: | r-devel: Rvcg_0.18.zip, r-release: Rvcg_0.18.zip, r-oldrel: Rvcg_0.18.zip |
| OS X binaries: | r-release: Rvcg_0.18.tgz, r-oldrel: Rvcg_0.18.tgz |
| Old sources: | Rvcg archive |
| Reverse depends: | molaR |
| Reverse imports: | Arothron, Morpho |
| Reverse suggests: | nat |
Please use the canonical form https://CRAN.R-project.org/package=Rvcg to link to this page.


Basic pdf-viewer demo
Buttons, checkboxes and list are not part of the components
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Board
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Optimization
Web Optimization is more commonly known as as Search Engine Optimization these days, and there are parts of the SEO process that never truly end. Consistently updating and producing new relevant content is necessary to keep users engaged and coming back for more. Using up to date trends and best practices from industry leaders such as Backlinko, Moz, and SEO Journal, I ensure your website outshines competitors.
I use various tools accomplish lightning fast load times and blend interactions to make your website feel smooth. I can track and optimize your content around your keywords, and vice-versa, to improve your Search Engine Rank Positions.


Your contact with {{$ctrl.job.company}} is {{$ctrl.job.contact}}. Send them a message from right here!


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Dietary
Pulses are very nutritious and perfect for cooking on a budget. This dish of chickpeas and red lentils is great for warming you up on a cold evening.
With a GI of 28 this meal is
high protein, low GI
and provides 261 kcal per portion.
Place the rice in a lidded pan, cover with water, put the lid on and bring to the boil. Simmer for around 10 minutes, or until the rice is soft.
Meanwhile, heat the oil in a heavy-based saucepan over a medium heat, add the onion, garlic, celery and green pepper and fry gently for 10-12 minutes or until softened and beginning to colour.
Stir in the lentils and spices and cook for 2-3 minutes, stirring frequently. Add the tomato purée, stock and chickpeas and bring to the boil. Reduce the heat, cover and simmer gently for about 20 minutes, or until the lentils are cooked through. Season with salt and freshly ground black pepper to taste.
Divide the rice and lentil mixture between fiur bowls. Garnish with coriander and serve.


Olivia Newton-John's wardrobe from 'Grease' finale sold at auction
by The Associated Press, StaffBEVERLY HILLS, Calif. -- Two collectors said you're the one that I want to Olivia Newton-John's iconic "Grease" leather jacket and skintight pants at an auction Saturday in Beverly Hills.
Julien's Auctions says the combined ensemble, which Newton-John's character Sandy wears in the closing number of the 1978 film, fetched US$405,700 total. The leather jacket sold for US$243,200 and the pants, which Newton-John famously had to be sewn into, went for US$162,500.
Other "Grease" memorabilia included a Pink Ladies jacket that went for US$50,000 and a poster signed by Newton-John, John Travolta, director Randal Kleiser and producer and songwriter John Farrar, which sold for US$64,000.
The proceeds from the jacket and pants, as well as a portion of the other items sold, will go the Olivia Newton-John Cancer Wellness & Research Centre in Australia.


THE HEIRARCHY OF HEADINGS
KING HEADING
Is married to his cousin to keep the bloodline pure. What could go wrong?
ITALIAN ITALIC NOBLEMEN HEADING
These italic italian blue-bloods sit on their piles of virtual gold pretending to do constructive things
COMIC SANS HEADING
(Comic sans font is not working properly pls ignore)
MIDDLE CLASS HEADING
It's always shrinking/in danger for whatever reason
PEASANTS HEADING
He's the king? Well I didn't vote for him. Supreme executive power derives from a mandate from the masses, not from some farcical aquatic ceremony.
ANT HEADING
I for one, welcome our new insect overlords.
Unordered list of historical misconceptions:
- Vikings don't wear horned helmets
- Double bitted axes were rarely used in combat
- Russia was conquered during the winter before... by the Mongols
- Napoleon was not short. At the time, he was slightly above average.
- Christopher Columbus did not discover America. He discovered the caribbeans and the shore of Central America.
- Christopher Columbus did not prove the earth was round when everyone thought it was flat. He just thought the earth was smaller than everyone else did. And he was wrong.
- Christopher Columbus was not even the first european to set foot on the New World. Lief Erikson did that over 400 years ago.
- Christopher Columbus in general, is nothing like how school teaches him to be.
- Christopher Columbus also thought America was India, and that the natives were Indians. That's why we call them American Indians today. Thanks a lot, Columbus.
- Why do we celebrate Columbus day even
Ordered list of easy steps towards being successful
- Be born into a succesful/powerful family
- Inherit your father's wealth/crown/kingdom/empire
- Secure your inheritance by murdering your brothers and sisters
- Marry either a rich foreign princess or your cousin to secure legitimacy
- Marry your daughter off to a powerful foreign prince to secure an alliance
- ???
- Profit
You feeling lucky?
LINK 1LINK 2
LINK 3
LINK 4
Images
Table of stuff
| TYPE | China | Taiwan | Japan |
| ADVANTAGES | Makes everything except Taiwanese dramas and anime | Taiwanese dramas | Anime |
I'm a special body of text.


CASE NO.: Appeal (civil) 411 of 2007 PETITIONER: Parthiban Blue Metal Etc. RESPONDENT: The Member Secy. T.N. Polln.Cont. Bd. & Ors. DATE OF JUDGMENT: 01/02/2007 BENCH: Dr. ARIJIT PASAYAT & S.H. KAPADIA JUDGMENT:
J U D G M E N T (Arising out of SLP (C) Nos. 19774-19782 of 2005) Dr. ARIJIT PASAYAT, J.
Leave granted.
In these appeals challenge is to the order passed by a Division Bench of the Madras High Court dismissing the writ petitions filed by the appellants. Background facts as projected by the appellants are as follows:
Various stone crushing units were being operated by the appellants in Trisoolam Village, Kanjipuram District, Tamil Nadu. According to the appellants they had obtained "no objection certificate" from the Tehsildar, Divisional Fire Officer and the Panchayat Union for the purpose of running the units. After Water (Prevention and Control of Pollution) Act, 1974 (in short the 'Water Act')] and the Air (Prevention and Control of Pollution) Act, 1981 (in short the 'Air Act') came into force appellants applied for consent from the concerned authorities under these Acts. Considering the applications the District Environmental Engineer called for some particulars and appellants were required to remit a sum of Rs.1750/- each towards consent fee under the Acts, which was also paid. Appellants were granted permission by the Commissioner, Panchayat Union for construction of a shed and installation of 25 HP Electric Motor to run the units and as per the approved plan the shed was constructed and business was being carried out. The Principal Secretary, Tamil Nadu Pollution Control Board (in short the 'Board') issued notice to each of the appellants requiring shifting to alternative sites since the units were located at about 325 meters from the residential colony. Appellants gave their reply stating that the units were operating since 1972 and in fact they were located in the non- urban zone. Some writ petitions were filed by the Krishna Nagar Welfare Association and Kennedy Valley Welfare Association. Since there were various reports, which were somewhat contradictory to each other, Civil Appeal No. 6742 of 2001 and W.P. (C) 2594 of 1999 were disposed of by this Court with certain directions. The Industries Department of the State Government issued G.O.Ms. No. 13 dated 22.1.2002 wherein it was declared as follows: "In the order first read above, in adherence to the Supreme Court Order in C.A. No. 10732/95, the Government issued amendment to Rule 36(1) of Tamil Nadu Minor Mineral Concession Rules, 1959 to the effect that no quarrying shall be done within a radial distance of 500 metres from inhabited site. The position was also informed to Supreme Court of India in connection with S.L.P.(C) No. 13564/98."
The District Environmental Officer issued a notice to each of the appellant observing that their units were located within 500 meters from the residential area and therefore, penal action was called for. A Writ Petition (Writ Petition No. 35855 of 2003) was filed before the High Court alleging pollution because of the activities of the stone crushing units. The appellants challenged the notices/orders issued by the Board. The High Court dismissed the same holding that the action initiated by the Board was justified. During the hearing of the cases on 13.11.2006, the following order was passed:
"Our attention has been drawn to the notice dated 11 March, 1994 issued to one of the petitioners, M/s. Rathnam Blue Metals, which states that the units is located at about 325 meters from Krishna Nagar against the limit of 500 meters from residential area. The contention of the petitioners is that now the limit has been reduced to 300 meters and, therefore, their unit is located within the permissible distance. It is further submitted that all the units are in adjoining sites and are beyond the distance of 300 meters from residential area. The respondent-Tamil Nadu Pollution Control Board is directed to verify the factual scenario and file an affidavit within four weeks."
An affidavit had been filed on behalf of the respondent Nos.1 & 2 Board annexing a map and giving the following details.
Name of the Nine Stone Crushing Units and its Distance from Approved Habitation:
Sl.No.
NAME DISTANCE
1. PARTHIBAN BLUE METAL 330 M
2. GEETHA BLUE METAL 352 M
3. VETRIVELAN BLUE METAL 379 M
4. RATHNA BLUE METAL 386 M
5. LOGANAYAKI BLUE METAL 376 M
6. STAR BLUE METAL 442 M
7. ADHILAKSHMI BLUE METAL 447 M
8. VASUPEVAN BLUE METAL 454 M
9. SIVA BLUE METAL 510 M We have heard learned counsel for the parties. It appears that the factual position was not examined in detail by the High Court. The affidavit filed by respondent Nos.1 & 2 alongwith the map before this Court throw some light on the controversy. In the circumstances, we think it appropriate to remit the matter to the High Court to consider the effect of the affidavit and the map. It goes without saying that the parties shall be permitted to place materials in support of their irrespective stand so that the High Court can consider the issues involved. We make it clear that we have not expressed any opinion on the merit. The appeals are accordingly disposed of without any orders as to costs.


‘It’s a war against our freedom’ — bill to regulate social media provokes outrage
by Adedayo Ade-RufusA bill seeking to regulate social media has provoked outrage among some Nigerian internet users after it passed second reading at the senate.
The bill entitled, ‘Protection from Internet Falsehood and Manipulation 2019’, passed second reading on Wednesday, after Sani Musa, senator representing Niger east and its sponsor, moved a motion for a debate on the proposed law.
It was however rejected by some Nigerians including celebrities who took to Twitter to express their reservations concerning the bill, especially how it violates their fundamental right of freedom of speech.
Since on Friday, the hashtag #SayNoToSocialMediaBill has remained top of the Twitter trends.
“This Social Media Bill is very worrisome. We’re used to taking everything so lightly. I doubt most of us understand the implications of this if it gets passed. The things I’ve been reading are crazy. Freedom of speech is almost all the power we have left #SayNoToSocialMediaBill,” Simi, Nigerian singer, said.
“This is not a matter of belonging to APC, PDP or SDP.   This is a war against you & I. This is a war against our freedom. #SayNoToSocialMediaBill,” another user said.
Here is what some Nigerians had to say:
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EBRAINS WebComponents Demo
https://github.com/HumanBrainProject/ebrains-webcomponents
Youtube Video Privacy Overlay


viarity.com
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| Date |
Speakers |
Papers |
Slides |
Zoom Recording |
| Introduction Meeting |
| 21/3/2021 |
Michal Irani Niv Haim Shai Bagon |
Course Intro (and DOs and DON'Ts when giving a talk)
Talk Preparation Timeline and Guidelines
Zoom intro
|
Zoom |
| Passover |
| Attention/Transformers in Vision |
| 4/4/2021 |
Shir Amir Shiran Zada |
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
On the Relationship between Self-Attention and Convolutional Layers
Taming Transformers for High-Resolution Image Synthesis
Stand-Alone Self-Attention in Vision Models
Is Space-Time Attention All You Need for Video Understanding?
Training data-efficient image transformers & distillation through attention
|
Slides |
Zoom |
| Advances in Reinforcement Learning |
| 11/4/2021 |
Hodaya Koslowski Yuval Belfer |
Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model
Mastering Atari with Discrete World Models
Combining Deep Reinforcement Learning and Search for Imperfect-Information Games
|
Slides |
Zoom |
| StyleGAN and Applications |
| 18/4/2021 |
Or bar-Shira Oz Frank |
Progressive Growing of GANs for Improved Quality, Stability, and Variation
A Style-Based Generator Architecture for Generative Adversarial Networks
Stylegan2: Analyzing and Improving the Image Quality of StyleGAN
Stylegan-Ada: Training Generative Adversarial Networks with Limited Data
Interpreting the Latent Space of GANs for Semantic Face Editing
Transforming and Projecting Images into Class-conditional Generative Networks
Time-Travel Rephotography
DeepLandscape: Adversarial Modeling of Landscape Videos
|
Slides |
Zoom |
| Image Synthesis without GANs |
| 25/4/2021 |
Itai Antebi Rafail Fridman |
StyleFlow: Attribute-conditioned Exploration of StyleGAN-Generated Images using Conditional Continuous Normalizing Flows
SRFlow: Learning the Super-Resolution Space with Normalizing Flow
NVAE: A Deep Hierarchical Variational Autoencoder
Generating Diverse High-Fidelity Images with VQ-VAE-2
Glow: Generative Flow with Invertible 1x1 Convolutions
|
Slides |
Zoom |
| Deep Learning meets Natural Sciences |
| 02/05/2021 |
Asaf Petruschka Dror Bar |
AlphaFold
AlphaFold 2 & Equivariance
BERTology Meets Biology: Interpreting Attention in Protein Language Models
|
Slides |
Zoom |
| Efficient Attention Mechanisms |
| 09/05/2021 |
Dana Joffe Roy Abel |
Reformer: The Efficient Transformer
Linformer: Self-Attention with Linear Complexity
Rethinking Attention with Performers
Efficient Content-Based Sparse Attention with Routing Transformers
Perceiver: General Perception with Iterative Attention
Generating Long Sequences with Sparse Transformers
|
Slides |
Zoom |
| Advances in Object Detection / Segmentation |
| 23/05/2021 |
Ophir Sarusi Raz Yerushalmi |
DETR: End-to-End Object Detection with Transformers
CornerNet: Detecting Objects as Paired Keypoints
Pixel Consensus Voting for Panoptic Segmentation
YOLACT: Real-time Instance Segmentation
HyperSeg: Patch-wise Hypernetwork for Real-time Semantic Segmentation
YolactEdge: Real-time Instance Segmentation on the Edge
|
Slides |
Zoom |
| Normalization Techniques and its importance in Generative Models |
| 30/05/2021 |
Sveta Paster Ore Shtalrid |
Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift
Instance Normalization: The Missing Ingredient for Fast Stylization
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
SPADE: Semantic Image Synthesis with Spatially-Adaptive Normalization
How Does Batch Normalization Help Optimization?
High-Performance Large-Scale Image Recognition Without Normalization
|
Slides |
Zoom |
| Neural Implicit Representations |
| 06/06/2021 |
Eyal Naor Dolev Ofri |
Occupancy Networks: Learning 3D Reconstruction in Function Space
DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
Implicit Neural Representations with Periodic Activation Functions
Fourier Features Let Networks Learn High Frequency Functions in Low Dimensional Domains
NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis
NeX: Real-time View Synthesis with Neural Basis Expansion
|
Slides |
Zoom |
| Meta Learning |
| 13/06/2021 |
Lior Magram Bar Karov |
Fast Adaptation to Super-Resolution Networks via Meta-Learning
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
Learned Initializations for Optimizing Coordinate-Based Neural Representations
On First-Order Meta-Learning Algorithms
|
Slides |
Zoom |
| Deep Denoising |
| 20/06/2021 |
Alon Mamistvalov Hila Naaman |
Noise2Noise
Noise2Void
Noise2Self
Denoising and Regularization via Exploiting the Structural Bias of Convolutional Generators
Robust And Interpretable Blind Image Denoising Via Bias-Free Convolutional Neural Networks
|
Slides |
Zoom |
| Depth Estimation from Single Image |
| 27/06/2021 |
Narek Tumanyan Navve Wasserman |
Unsupervised Monocular Depth Estimation with Left-Right Consistency
Unsupervised Learning of Depth and Ego-Motion from Video
Consistent Video Depth Estimation
Robust Consistent Video Depth Estimation
|
Slides |
Zoom |
| Out of Distribution Detection |
| 04/07/2021 |
Myriam Schmidt |
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks
Enhancing The Reliability of Out-of-distribution Image Detection in Neural Networks
|
Slides |
Zoom |


org.apache.batik.gvt
Interfaces
GraphicsNode
Mask
Selectable
Selector
ShapePainter
Classes
AbstractGraphicsNode
CanvasGraphicsNode
CompositeGraphicsNode
CompositeShapePainter
FillShapePainter
GVTTreeWalker
ImageNode
Marker
MarkerShapePainter
PatternPaint
PatternPaintContext
ProxyGraphicsNode
RasterImageNode
RootGraphicsNode
ShapeNode
StrokeShapePainter
UpdateTracker


Dashboard
User Profile
Practice Room
Student Locker
Book My Lesson
Common Room
Class Schedule
Leaderboard
Forum
{{vm.currentUser.first_name}} {{vm.currentUser.last_name}}


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ASN1_generate_nconf(3)
NAMEASN1_generate_nconf, ASN1_generate_v3 - ASN1 generation functions
SYNOPSIS#include <openssl/asn1.h> ASN1_TYPE *ASN1_generate_nconf(char *str, CONF *nconf); ASN1_TYPE *ASN1_generate_v3(char *str, X509V3_CTX *cnf);
DESCRIPTIONThese functions generate the ASN1 encoding of a string in an ASN1_TYPE structure. str contains the string to encode nconf or cnf contains the optional configuration information where additional strings will be read from. nconf will typically come from a config file wherease cnf is obtained from an X509V3_CTX structure which will typically be used by X509 v3 certificate extension functions. cnf or nconf can be set to NULL if no additional configuration will be used.
GENERATION STRING FORMATThe actual data encoded is determined by the string str and the configuration information. The general format of the string is: That is zero or more comma separated modifiers followed by a type followed by an optional colon and a value. The formats of type, value and modifier are explained below.
SUPPORTED TYPESThe supported types are listed below. Unless otherwise specified only the ASCII format is permissible.
MODIFIERSModifiers affect the following structure, they can be used to add EXPLICIT or IMPLICIT tagging, add wrappers or to change the string format of the final type and value. The supported formats are documented below.
EXAMPLESA simple IA5String: IA5STRING:Hello World An IA5String explicitly tagged: EXPLICIT:0,IA5STRING:Hello World An IA5String explicitly tagged using APPLICATION tagging: EXPLICIT:0A,IA5STRING:Hello World A BITSTRING with bits 1 and 5 set and all others zero: FORMAT:BITLIST,BITSTRING:1,5 A more complex example using a config file to produce a SEQUENCE consiting of a BOOL an OID and a UTF8String: asn1 = SEQUENCE:seq_section [seq_section] field1 = BOOLEAN:TRUE field2 = OID:commonName field3 = UTF8:Third field This example produces an RSAPrivateKey structure, this is the key contained in the file client.pem in all OpenSSL distributions (note: the field names such as 'coeff' are ignored and are present just for clarity): asn1=SEQUENCE:private_key [private_key] version=INTEGER:0 n=INTEGER:0xBB6FE79432CC6EA2D8F970675A5A87BFBE1AFF0BE63E879F2AFFB93644\ D4D2C6D000430DEC66ABF47829E74B8C5108623A1C0EE8BE217B3AD8D36D5EB4FCA1D9 e=INTEGER:0x010001 d=INTEGER:0x6F05EAD2F27FFAEC84BEC360C4B928FD5F3A9865D0FCAAD291E2A52F4A\ F810DC6373278C006A0ABBA27DC8C63BF97F7E666E27C5284D7D3B1FFFE16B7A87B51D p=INTEGER:0xF3929B9435608F8A22C208D86795271D54EBDFB09DDEF539AB083DA912\ D4BD57 q=INTEGER:0xC50016F89DFF2561347ED1186A46E150E28BF2D0F539A1594BBD7FE467\ 46EC4F exp1=INTEGER:0x9E7D4326C924AFC1DEA40B45650134966D6F9DFA3A7F9D698CD4ABEA\ 9C0A39B9 exp2=INTEGER:0xBA84003BB95355AFB7C50DF140C60513D0BA51D637272E355E397779\ E7B2458F coeff=INTEGER:0x30B9E4F2AFA5AC679F920FC83F1F2DF1BAF1779CF989447FABC2F5\ 628657053A This example is the corresponding public key in a SubjectPublicKeyInfo structure: # Start with a SEQUENCE asn1=SEQUENCE:pubkeyinfo # pubkeyinfo contains an algorithm identifier and the public key wrapped # in a BIT STRING [pubkeyinfo] algorithm=SEQUENCE:rsa_alg pubkey=BITWRAP,SEQUENCE:rsapubkey # algorithm ID for RSA is just an OID and a NULL [rsa_alg] algorithm=OID:rsaEncryption parameter=NULL # Actual public key: modulus and exponent [rsapubkey] n=INTEGER:0xBB6FE79432CC6EA2D8F970675A5A87BFBE1AFF0BE63E879F2AFFB93644\ D4D2C6D000430DEC66ABF47829E74B8C5108623A1C0EE8BE217B3AD8D36D5EB4FCA1D9 e=INTEGER:0x010001
RETURN VALUES
The error codes that can be obtained by ERR_get_error(3).
SEE ALSO
HISTORY
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"When I logged into this website for the first time, I didn't have a business or even a business. Inside this website I found the idea of dog breeding which I loved very much, so I decided to start it I went and started it small.Now the whole of Nairobi knows me as the best Dog-Seller."
"I started my tomato business with just ksh.3000. I went on to build a tomato empire. I went to Marikiti, bought one crate of tomatoes. Placed it on a wheelbarrow and from there the business boomed. This is all because of the business ideas and advices I got from this website. The website gives detailed explaination of starting any type of business. "
This is the most helpful website I've seen in 2021. Kudos!...
This has helped me to achiev my success...
The website has revolutionised the youth self-development in Kenya...


public class Bid extends ElasticModel
Created by martin on 10/02/16.
,
Serialized Form| Modifier and Type | Class and Description |
|---|---|
static class |
Bid.Per |
| Constructor and Description |
|---|
Bid(Thing thing,
User bidder,
int amount)
Construct a new Bid on an item
|
Bid(Thing thing,
User bidder,
int amount,
Bid.Per per)
Construct a new Bid on an item at a time-based rate.
|
| Modifier and Type | Method and Description |
|---|---|
int |
getAmount() |
User |
getBidder() |
java.util.List |
getLocation() |
Bid.Per |
getPer() |
Thing |
getThing() |
Bid |
setAmount(int amount) |
Bid |
setBidder(User bidder) |
Bid |
setLocation(java.util.List<java.lang.Number> location) |
Bid |
setPer(Bid.Per per) |
Bid |
setThing(Thing thing) |
java.lang.String |
toString()
Returns a string containing a concise, human-readable description of this
object.
|
java.lang.String |
valueOf() |
public Bid(Thing thing, User bidder, int amount)
thing
- the Thing being bid onbidder
- the User performing making the Bid.amount
- how much is being bid. (in cents)public User getBidder()
public Thing getThing()
public int getAmount()
public Bid setAmount(int amount) throws BidNegativeException
BidNegativeException
public Bid.Per getPer()
public Bid setPer(Bid.Per per) throws java.lang.NullPointerException
java.lang.NullPointerException
public java.util.List getLocation()
public Bid setLocation(java.util.List<java.lang.Number> location)
public java.lang.String valueOf()
public java.lang.String toString()
java.lang.Object
getClass().getName() + '@' + Integer.toHexString(hashCode())
See Writing a useful
toString
method
if you intend implementing your own toString
method.
toString
in class java.lang.Object


Windows and Microsoft Word GUI for Text transformation given character set mapping (from/to) and calculation of mapping given matching (portions of) source and target text.
Useful for decyphering copy-pasted text from PDF documents that ends-up with strange character swaps in it due to encoding reasons
Download: CharConv_20100930.zip
Instructions:
Either run the .exe file from the "Delphi" or "Lazarus" subfolders (note that the 2nd one is much bigger, so prefer the 1st one), or open the .doc file from "Microsoft Word" and when prompted about macro security select to allow the script in the document file to execute
Requirements: if you try the .DOC file you must allow Word's macro security to enable the script for that version to run (this is also needed to be able to see the script and edit it)
Source code:
Source code (Object Pascal) is in "Delphi" and "Lazarus" projects (same code) and in the "Microsoft Word" folder (Visual Basic for Applications [VBA]).
The Object Pascal (.PAS file) and the Visual Basic for Application (.DOC) file logic is similar.
Following is the VBA code (can use Developer/Visual Basic toolbar in Word to see/edit it and Design mode to edit the GUI properties):
'//Description: Text converter
'//Author: George Birbilis<EMAIL_ADDRESS>'//Messages//
Sub msgDifferentLayout()
MsgBox "Source and Target must have identical layout to resync the mapping"
End Sub
Sub msgNonReversibleMapping(cFrom As String, cTo As String, cOther As String)
MsgBox "Char [" + cTo + "] is already in 'To' field, but mapped to char [" + cOther + "] at the 'From' field. Added again to map to [" + cFrom + "]. This is a non reversible (1-1) mapping"
End Sub
'//Actions//
Function pos(s2 As String, s1 As String) As Integer 'Pascal-style search
pos = InStr(1, s1, s2, vbBinaryCompare)
End Function
Sub UpdateWideCharMapping(cFrom As String, cTo As String)
Dim p As Integer
If pos(cFrom, txtFrom.Text) = 0 Then
txtFrom.Text = txtFrom.Text + cFrom
p = pos(cTo, txtTo.Text)
If (p <> 0) Then
msgNonReversibleMapping cFrom, cTo, Mid(txtFrom.Text, p, 1)
End If
txtTo.Text = txtTo.Text + cTo
End If
End Sub
Sub UpdateMapping()
Dim i As Integer
Dim s1 As String
Dim s2 As String
s1 = txtSource.Text
s2 = txtTarget.Text
If (txtSource.LineCount <> txtTarget.LineCount) Or _
(Len(s1) <> Len(s2)) Then
msgDifferentLayout
Else
For i = 1 To Len(s1)
UpdateWideCharMapping Mid(s1, i, 1), Mid(s2, i, 1)
Next i
End If
End Sub
Function convertWideChars(s As String, fromChars As String, toChars As String) As String
Dim i As Integer
Dim p As Integer
Dim result As String
Dim c As String
result = ""
For i = 1 To Len(s)
c = Mid(s, i, 1)
p = pos(c, fromChars)
If p = 0 Then
result = result + c
Else
result = result + Mid(toChars, p, 1)
End If
Next i
convertWideChars = result
End Function
Sub ConvertText()
txtTarget.Text = convertWideChars(txtSource.Text, txtFrom.Text, txtTo.Text)
End Sub
'//Event handlers//
Private Sub btnConvert_Click()
ConvertText
End Sub
Private Sub btnUpdateMapping_Click()
UpdateMapping
End Sub
(C)opyright 2006-2010 - Zoomicon / George Birbilis
Free to use / give due credit


..responding to a request form the client
String query = "SELECT * from users";
ResultSet rs = statement.executeQuery(query);
..send the response back to the client
..responding to a request form the client
String query = "SELECT * from users";
ResultSet rs = statement.executeQuery(query);
...WAITING FOR THE QUERY TO RETURN...
...
...
...STILL WAITING...
...
...
..send the response back to the client
..responding to a request form the client
conn.query("SELECT * from users", function (err, resp) {
..send the response back to the client
});
..continue to service other clients...no waiting!
Node Architecture
Rouben Meschian
rmeschian@gmail.com


Attn: Good Morning, I am Professor Frank Morris the auditor general of stanbic bank of ghana. I hereby contact you personally concerning the situation in my bank. In order to transfer out {us$22.4, 000,000} twenty two million, four hundred thousand united state dollars, I have the courage to look for a reliable and honest person who will be capable for this transaction I need a good person to trust who will stand as the beneficiary of this $22.4million, believing that he will never let me down either now or in future, there is an account {Mr. william kim} opened in this bank of Stanbic in 1985 and since 1990 nobody has operated on this account again and he is the director general of fidelity international company ltd, the world leading investment & funds management Institutions that has over us$5.2Trillion as capital investment funds here in ghana {www.fidelity-international. com}he died since 1995, I need a foreign partner that will present as a relative to this late man. I concluded to transfer this fund overseas for proper investment that will benefit me and you. our sharing ratio will be 30-70 while 0.5% will be for expenses during the process of the transaction. Should incase you are interested, sincerely. Professor Frank Morris


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