STTY
Section: User Commands (1)Updated: June 2012
Index Return to Main Contents
NAME
stty - change and print terminal line settingsSYNOPSIS
stty [-F DEVICE | --file=DEVICE] [SETTING]...stty [-F DEVICE | --file=DEVICE] [-a|--all]
stty [-F DEVICE | --file=DEVICE] [-g|--save]
DESCRIPTION
Print or change terminal characteristics.
- -a, --all
- print all current settings in human-readable form
- -g, --save
- print all current settings in a stty-readable form
- -F, --file=DEVICE
- open and use the specified DEVICE instead of stdin
- --help
- display this help and exit
- --version
- output version information and exit
Optional - before SETTING indicates negation. An * marks non-POSIX settings. The underlying system defines which settings are available.
Special characters:
- * dsusp CHAR
- CHAR will send a terminal stop signal once input flushed
- eof CHAR
- CHAR will send an end of file (terminate the input)
- eol CHAR
- CHAR will end the line
- * eol2 CHAR
- alternate CHAR for ending the line
- erase CHAR
- CHAR will erase the last character typed
- intr CHAR
- CHAR will send an interrupt signal
- kill CHAR
- CHAR will erase the current line
- * lnext CHAR
- CHAR will enter the next character quoted
- quit CHAR
- CHAR will send a quit signal
- * rprnt CHAR
- CHAR will redraw the current line
- start CHAR
- CHAR will restart the output after stopping it
- stop CHAR
- CHAR will stop the output
- susp CHAR
- CHAR will send a terminal stop signal
- * swtch CHAR
- CHAR will switch to a different shell layer
- * werase CHAR
- CHAR will erase the last word typed
Special settings:
- N
- set the input and output speeds to N bauds
- * cols N
- tell the kernel that the terminal has N columns
- * columns N
- same as cols N
- ispeed N
- set the input speed to N
- * line N
- use line discipline N
- min N
- with -icanon, set N characters minimum for a completed read
- ospeed N
- set the output speed to N
- * rows N
- tell the kernel that the terminal has N rows
- * size
- print the number of rows and columns according to the kernel
- speed
- print the terminal speed
- time N
- with -icanon, set read timeout of N tenths of a second
Control settings:
- [-]clocal
- disable modem control signals
- [-]cread
- allow input to be received
- * [-]crtscts
- enable RTS/CTS handshaking
- * [-]cdtrdsr
- enable DTR/DSR handshaking
- csN
- set character size to N bits, N in [5..8]
- [-]cstopb
- use two stop bits per character (one with `-')
- [-]hup
- send a hangup signal when the last process closes the tty
- [-]hupcl
- same as [-]hup
- [-]parenb
- generate parity bit in output and expect parity bit in input
- [-]parodd
- set odd parity (even with `-')
Input settings:
- [-]brkint
- breaks cause an interrupt signal
- [-]icrnl
- translate carriage return to newline
- [-]ignbrk
- ignore break characters
- [-]igncr
- ignore carriage return
- [-]ignpar
- ignore characters with parity errors
- * [-]imaxbel
- beep and do not flush a full input buffer on a character
- [-]inlcr
- translate newline to carriage return
- [-]inpck
- enable input parity checking
- [-]istrip
- clear high (8th) bit of input characters
- * [-]iutf8
- assume input characters are UTF-8 encoded
- * [-]iuclc
- translate uppercase characters to lowercase
- * [-]ixany
- let any character restart output, not only start character
- [-]ixoff
- enable sending of start/stop characters
- [-]ixon
- enable XON/XOFF flow control
- [-]parmrk
- mark parity errors (with a 255-0-character sequence)
- [-]tandem
- same as [-]ixoff
Output settings:
- * bsN
- backspace delay style, N in [0..1]
- * crN
- carriage return delay style, N in [0..3]
- * ffN
- form feed delay style, N in [0..1]
- * nlN
- newline delay style, N in [0..1]
- * [-]ocrnl
- translate carriage return to newline
- * [-]ofdel
- use delete characters for fill instead of null characters
- * [-]ofill
- use fill (padding) characters instead of timing for delays
- * [-]olcuc
- translate lowercase characters to uppercase
- * [-]onlcr
- translate newline to carriage return-newline
- * [-]onlret
- newline performs a carriage return
- * [-]onocr
- do not print carriage returns in the first column
- [-]opost
- postprocess output
- * tabN
- horizontal tab delay style, N in [0..3]
- * tabs
- same as tab0
- * -tabs
- same as tab3
- * vtN
- vertical tab delay style, N in [0..1]
Local settings:
- [-]crterase
- echo erase characters as backspace-space-backspace
- * crtkill
- kill all line by obeying the echoprt and echoe settings
- * -crtkill
- kill all line by obeying the echoctl and echok settings
- * [-]ctlecho
- echo control characters in hat notation (`^c')
- [-]echo
- echo input characters
- * [-]echoctl
- same as [-]ctlecho
- [-]echoe
- same as [-]crterase
- [-]echok
- echo a newline after a kill character
- * [-]echoke
- same as [-]crtkill
- [-]echonl
- echo newline even if not echoing other characters
- * [-]echoprt
- echo erased characters backward, between `\' and '/'
- [-]icanon
- enable erase, kill, werase, and rprnt special characters
- [-]iexten
- enable non-POSIX special characters
- [-]isig
- enable interrupt, quit, and suspend special characters
- [-]noflsh
- disable flushing after interrupt and quit special characters
- * [-]prterase
- same as [-]echoprt
- * [-]tostop
- stop background jobs that try to write to the terminal
- * [-]xcase
- with icanon, escape with `\' for uppercase characters
Combination settings:
- * [-]LCASE
- same as [-]lcase
- cbreak
- same as -icanon
- -cbreak
- same as icanon
- cooked
- same as brkint ignpar istrip icrnl ixon opost isig icanon, eof and eol characters to their default values
- -cooked
- same as raw
- crt
- same as echoe echoctl echoke
- dec
- same as echoe echoctl echoke -ixany intr ^c erase 0177 kill ^u
- * [-]decctlq
- same as [-]ixany
- ek
- erase and kill characters to their default values
- evenp
- same as parenb -parodd cs7
- -evenp
- same as -parenb cs8
- * [-]lcase
- same as xcase iuclc olcuc
- litout
- same as -parenb -istrip -opost cs8
- -litout
- same as parenb istrip opost cs7
- nl
- same as -icrnl -onlcr
- -nl
- same as icrnl -inlcr -igncr onlcr -ocrnl -onlret
- oddp
- same as parenb parodd cs7
- -oddp
- same as -parenb cs8
- [-]parity
- same as [-]evenp
- pass8
- same as -parenb -istrip cs8
- -pass8
- same as parenb istrip cs7
- raw
- same as -ignbrk -brkint -ignpar -parmrk -inpck -istrip -inlcr -igncr -icrnl -ixon -ixoff -iuclc -ixany -imaxbel -opost -isig -icanon -xcase min 1 time 0
- -raw
- same as cooked
- sane
- same as cread -ignbrk brkint -inlcr -igncr icrnl -iutf8 -ixoff -iuclc -ixany imaxbel opost -olcuc -ocrnl onlcr -onocr -onlret -ofill -ofdel nl0 cr0 tab0 bs0 vt0 ff0 isig icanon iexten echo echoe echok -echonl -noflsh -xcase -tostop -echoprt echoctl echoke, all special characters to their default values
Handle the tty line connected to standard input. Without arguments, prints baud rate, line discipline, and deviations from stty sane. In settings, CHAR is taken literally, or coded as in ^c, 0x37, 0177 or 127; special values ^- or undef used to disable special characters.
AUTHOR
Written by David MacKenzie.REPORTING BUGS
Report stty bugs to<EMAIL_ADDRESS>coreutils home page: <http://www.gnu.org/software/coreutils/>
General help using GNU software: <http://www.gnu.org/gethelp/>
Report stty translation bugs to <http://translationproject.org/team/>
COPYRIGHT
Copyright © 2010 Free Software Foundation, Inc. License GPLv3+: GNU GPL version 3 or later <http://gnu.org/licenses/gpl.html>.This is free software: you are free to change and redistribute it. There is NO WARRANTY, to the extent permitted by law.
SEE ALSO
The full documentation for stty is maintained as a Texinfo manual. If the info and stty programs are properly installed at your site, the command- info coreutils aqstty invocationaq
should give you access to the complete manual.
Index
This document was created by man2html, using the manual pages.
Time: 05:29:11 GMT, December 24, 2015


_A Simple Plan_ and _Waking Ned Devine_
Lifelong drinking buddies, from a small town in the middle of nowhere, accidentally come across a ticket to financial freedom. In order to secure the millions that they+ve discovered, one devices a plan, which they unanimously pursue. One lets his wife in on the secret, and while she initially is against it, relents, and becomes a partner in the crime. Needless to say, complications arise, and these everyday folk find themselves committing vices that they never dreamed of committing. The men struggle against all sides to prevent the possible prison sentences. Suspicious outsiders close in, and (I+m not giving anything away in saying this) untimely deaths occur.
The movie is, of course, _Waking Ned Devine_. The delightfully droll English comedy stars Ian Bannen and David Kelly who live in a seaside Irish village, where they find that the winner of a national lottery has died, ticket in hand, ecstatic smile on face. The two plan to collect the money for themselves, by fooling the lottery officials of the original ticket-buyers+ whereabouts. The laughs come from these complications, the quirkiness of its characters, and through two madcap scenes of laugh-out-loud slapstick, which I will not disclose here. And yet...
And yet, watching this film, I was reminded of _A Simple Plan_, a cinematic thunderbolt still a-fresh in my mind. It starred Bill Paxton and Billy Bob Thorton (an Academy caliber performance) as two brothers who discover four million dollars on a crashed plane in a nearby wildlife reserve. They decide to "hold" the money, and if nobody claims it, take it for themselves. That film had tackled the moral implications of its plot on a much more serious, yet unpredictable scale.
In both films, greed opens its doors to worse crimes. In _A Simple Plan_, the protagonists+ plotting leads to impending doom. In _Waking Ned Devine_, the devising takes on a happier note. In one, the end result is hell on earth. In the other, it appears to be a greater good.
What makes this all the more confusing is the differences between the two sets of plotting characters. When Paxton and his wife (Bridget Fonda) want the money, it is for their future plans--a child is on the way. But when Ian Bannen and his wife (Fionnula Flanagan) want the money, they are retired, have been content with frugal living, and face it--their future is, ahem, limited. For the former pair, it is criminal for them to participate in the plan, albeit with honorable reasons. For the latter pair, it is not only good, but circumstances appear that it was divinely-ordained that they receive their fortune, for what appears to be the paltriest of intentions.
Because it is a comedy, _Waking Ned Devine_ has no room for asking the greater questions. Even if you fully root for the characters, and exit the theater with the light-comedy sign-of-approval--the goofy grin, the film leaves open the possiblity that, due to simple economics, the characters+ standard of living will not be affected at all, and all of that mayhem occurred in vain. I don+t think the filmmakers intended for there to be a sting in that film, which is unfortunate, because had it had one, it would have been a better film.
Still, considering the curse that January puts upon new releases, you can+t do any worse than these films. _Waking Ned Devine_ is nothing more than satire-lite, a "Get out of jail free" card for two-hours of greed indulgence. _A Simple Plan_ is more serious, more economical in delivery, more surprising, more shocking, more thought-provoking, more memorable, with great performances and a heart-stopping script... but with less humor.
Nick Scale (1 to 10): Waking Ned Devine: 7 A Simple Plan: 10.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
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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.
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2001: A SPACE ODYSSEY A Film Review Copyright Dragan Antulov 1998
Few days ago people of the world had some opportunity to rest from the usual depressive news about coups, wars, disasters and presidential adulteries because world media finally turned their attention to more serene and heavenly subjects. One of those subjects is U.S. space shuttle "Endeavour" and its mission with the aim of connecting space modules - building blocks of the International Space Station. This news story invigorated many Space Age enthusiasts, but also filled their hearts with sadness. Their beloved Space Station, even when becomes finally built and fully operational in few years, would be far from fulfilling their dreams. Most of those dreams were inspired by a future envisioned in 2001: A SPACE ODYSSEY by Stanley Kubrick, the most influential and unique work ever made in the history of seventh art.
In the small world of cult cinema, 2001 is somewhat shadowed by other cinematic giants which are either more popular or pleasing to the audience, either general or cult, or simply more "earthly" to the mainstream critics and film scholar who dictate what should be artistic summit or not. Another thing that makes 2001 overlooked is the fact that its time might be somewhat pass‚. Thirty years ago, space exploration was a novelty able to catch people's imagination and inspire idealistic visions of the bright future for entire mankind. These days, almost nobody pays attention to space shuttles and satellites unless they crash, and materialistic considerations impede any ambitious plans for the human presence in space. To the casual observer, 2001 might really be discarded as the relict of age long gone, product of the idealistic and naÔve minds, something that can't be understood by today's cynical and nihilistic viewers, especially those of Generation X.
Misunderstanding, however, isn't new problem for 2001. Even during its premiere the movie was generally misunderstood - critics panned it, because they didn't understand it, and audience, inspired by contemporary psychedelic trend loved it for the entirely wrong reasons. Even one of the movie authors - screenwriter and famous science fiction novelist Arthur C. Clarke - admitted that even he couldn't know what the movie was all about. In the next thirty years countless articles, essays, books, documentaries and scientific studies would be written with the sole intent of trying to answer those questions; despite their best efforts, the audience would still remained confused as during the premiere. However, the deliberate leaving of unanswered questions benefited the movie and helped it to survive as cult favourite for three decades. Mostly because 2001, unlike most of other movies, has a unique ability to affect its audience - whether they like the movie or not, or whether they understand it or not, they can feel they are experiencing something grand and magnificent, even if they can't find the proper words to describe it or explain it.
The only thing that can be explained more or less coherently is plot. The movie begins with the prologue set roughly 4,000,000 years ago in East Africa. Small band of prehistoric ape-men, including Moonwatcher (Daniel Richter) lives a poor, short and brutal life, plagued by famine and under constant danger of predators. One day Moonwatcher discovers big, black shining monolith. The artefact of supposedly alien intelligence inspires Moonwatcher to use intelligence of his own - he discovers the bone as weapon, which leads to water buffalos as a new source of food for his tribe. After defeating the rival tribe in a war for water, Moonwatcher symbolically throws the bone in the air. In the next shot - often regarded as the most spectacular transition in the history of cinema - bone transforms in the space satellite that roams the Earth's orbit 4,000,000 years later. It is only one of the objects in Earth's orbit, full of different spaceships, including one that carries Doctor Heywood Floyd (William Sylvester), American space bureacrat, to the Moon. Floyd is set to oversee the investigation of monolith found on the Moon's surface. The monolith emits signals to Jupiter, and 18 months later, US space ship Discovery is sent to investigate the fourth planet of our solar system. The spaceship is manned by two astronauts - Frank Pool (Gary Lockwood) and Dave Bowman (Keir Dullea), but actually controlled by HAL 9000, computer equipped with artificial intelligence (voice by Douglas Rain). During the voyage, allegedly infallible computer begins to make mistakes, which forces the human crew to think about disconnecting it.
Even those who don't like the lack of clarity in 2001 are forced to admit that, on the technical side, this film really deserves to praised as one of the milestones in the history of cinema. Its director, Stanley Kubrick, made great movies before (LOLITA) and after (A CLOCKWORK ORANGE, filmed three years later, is actually preferred by mainstream critics), but in this film he used all his talent to make something really remarkable. First of all, 10 million US$ budget - something that looked like a fortune and was almost unimaginable for science fiction at the time - was used to create very detailed world of future supertechnology. Along the professional production and costume designers, Kubrick employed the talents of futurologists and real-life scientists and space vehicle designers, which resulted in the high level of plausibility and authenticity for a futuristic movie (the real life instruction for a zero gravity toilet is just the most common example). Another important element were the groundbreaking special effects; Kubrick, together with legendary Douglas Trumbull, introduced many revolutionary techniques that helped the audience to suspend its disbelief and make studio-recreated space, including zero gravity look also authentic. Thanks to those effects, 2001 looks as convincing now as it looked for the unsuspecting audience thirty years ago (and despite the fact that we couldn't see such level of technology in real-life 2001). Finally, Kubrick was also revolutionary in using non-original music; his choice was superb and some themes - especially those by Johann Strauss ("An der schoenen blauen Donau") and Richard Strauss ("Also Spracht Zarathustra") - would stay forever associated with his powerful imagery.
The actors of the movie remained mostly forgotten and that shouldn't surprise anyone, because this is the movie of the sights, sounds and ideas and not of the great memorable characters. Most of those characters are either hidden behind ape-like costumes (Moonwatcher), or presented like boring bureacrats (Floyd) or astronauts turned emotionally numb by the boredom of their job (Pool, Bowman). Ironically, it is the non-human character, HAL, that brings real human dimension to the events of the movie by expressing genuine emotions. Furthermore, there are relatively few words spoken in the entire movie - and most of the lines are trivial and serve only to illustrate banality and boredom of the life in the Space Age. The only lines that entered movie lovers' collective memory are the HAL's famous last words.
2001 is a movie as close to perfection as one movie can be. Those who deny it such status are probably those who question its plausibility. We are less than three (one, if you consider the 1999 segment) years away from the world presented in the movie, and most of the movie looks dated or overoptimistic now. Our space technology seems decades, if not centuries behind those presented in Kubrick's vision. Our fashions and social customs changed drastically compared with the late 1960s; the Cold War, that provided material for one of the more banal conversations in the movie, is thing of the past. Our computers didn't develop artificial intelligence. But are all those false predictions reasons enough for us to downgrade 2001? Is the Orwellian vision moot because the world in 1984 lacked Big Brother? Should we discard BLADE RUNNER when November 2019 comes without replicants in sight? The answer should be no. The movie was authentic by 1968 standards, and it was very plausible, taking into consideration contemporary trends. 2001 is a movie that presents future that probably won't happen, but also the future that might have happened. Even as false vision, 2001 remains powerful one, able to inspire us to ask questions about our existence, our true nature as human beings and, finally, our future.
RATING: 10/10
Review written on December 8th 1998
-- Dragan Antulov a.k.a. Drax Fido: 2:381/100 E-mail<EMAIL_ADDRESS>dragan.antulov@altbbs.fido,hr
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


Moody’s: Weak global recovery to weigh on S. Korean economy in 2020
by Dhwani MehtaIn its latest outlook report on the South Korean economy, the global rating agency Moody's Investors Service said Tuesday, the economy will continue to face headwinds next year due to weak economic growth and trade tensions.
Key Highlights:
"Our outlook is negative. The overall profitability of export-dependent companies deteriorated in 2019 due to a global economic slowdown, but their financial stability weakened as they continue to maintain sizable investment."
"There is a chance for improvement in 2020, but we believe the rate of improvement will likely be limited."
“Of 24 South Korean companies rated by Moody's, 14 now have negative outlooks.”
This "reflects reduced financial buffers amid weak economic conditions, large committed investment or both."
"Trade disputes are expected to limit corporate profitability, and we expect the tech and chemical industries to be most affected."
Meanwhile, USD/KRW has reversed half the early spike to 1,170.16 highs, currently trading around 1,168.45, still up +0.20% on the day. The Asian currencies are mostly under pressure this Tuesday on fresh US-China trade pessimism concerning the Phase One trade deal.


Many things in life seem to hold us back. There are always errands to run, dishes to do, bills to pay, and it all gets in the way of what you really want to do: ride. Hop on the 26” Men’s Mongoose Status 2.2 mountain bike for a ride that won’t hold you back. Featuring a strong aluminum frame with hydroformed tubing and a powerful suspension fork to smooth out bumps, the Status 2.2 is ready for your next adventure. A 21-speed rear derailleur guarantees quick shifting and the right gearing for any trail you encounter. Light and strong alloy rims add durability and support knobby 2.125” wide mountain tires that roll over anything in your path. Classic front and rear V-brakes help you control your speed and stop on a dime.  Finally, a mountain bike that elevates your ride and won't break the bank along the way. There’s nothing you can’t do on a Mongoose.
About...
Aluminum MTB frame with hydroformed tubing and a powerful front suspension fork is strong and reliable; 26-inch wheels fit riders 64 to 74 inches tall
21-speed shifters make for smooth gear changes on every ride
Riser handlebar with colored end plugs completes the MTB look
Elizabeth
Buen Producto
Marco
Buena entrega
Nancy
Regular producto, llego defectuoso
Other
Frank
Problemas
Donald
Excelente producto


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9 Other tools
9.1 CSS
Sometimes, it is tempting to write inline CSS for a tag in the style
attribute, for instance:
title <- h4(
"A title",
style = "color: cyan; text-align: center; margin-top: 100px;"
)
shinyApp(ui = title, server = function(input, output) {})
As the number of CSS properties grows, the code may become hard to read. The {cascadess} package developed by Nathan Teetor provides a more readable syntax, which works well with %>%
.
ui <- list(
cascadess(),
h4(
"A title",
.style %>%
text(color = "cyan", align = "center") %>%
margin(top = 5)
)
)
shinyApp(ui, server = function(input, output) {})
{cascadess} is a pleasing way to learn CSS through R. For instance, the CSS text formating includes properties like text-color
, text-align
, …The text
function has the same parameters, namely color, align, as shown in the above example.
Notice that we included the cascadess
function, which is nothing more than an htmldependency object necessary to apply styles on elements.
## List of 10
## $ name : chr "cascadess"
## $ version : chr "0.1.0"
## $ src :List of 2
## ..$ file: chr "/Library/Frameworks/R.framework/Versions/3.6/Resources/library/cascadess/www/cascadess"
## ..$ href: chr "cascadess/cascadess"
## $ meta : NULL
## $ script : NULL
## $ stylesheet: chr "cascadess.min.css"
## $ head : NULL
## $ attachment: NULL
## $ package : NULL
## $ all_files : logi TRUE
## - attr(*, "class")= chr "html_dependency"
Try to run the previous example without this element. Nothing will be properly displayed!


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Scaling People With Apache Crunch
Starting the Big Data Journey
When a company first starts to play with Big Data it typically involves a small team of engineers trying to solve a specific problem. The team decides to experiment with scalable technologies either due to outside guidance or research which makes it applicable to their problem. The team begins with the basics of Big Data spending time learning and prototyping. They learn about HDFS, flirt with HBase or other NoSQL, write the required WordCount example, and start to figure out how the technologies can fit their needs. The group’s immersion into Big Data deepens as they start to move beyond a prototype into a real product.
The company sees the success of using Big Data technologies and the possibilities to solve difficult problems, tackle new endeavors, and open new doors. The company has now shifted its scalability problem out from the technical architecture into a people problem. The small team of experts cannot satisfy the demand and transferring their accumulated knowledge to new teams is a significant investment. Both new and experienced engineers face a steep learning curve to get up to speed. Learning the API is not difficult but challenges typically oocur when applying the WordCount example to complex problems. Making the mental jump from processing homogeneous data which produce a single output to a complex processing pipeline involving heterogeneous inputs, joins, and multiple outputs is difficult for even a skilled engineer.
Cerner has developed a number of Big Data solutions each demonstrating the 3 V’s of data (variety, velocity, and volume). The complexity of the problems being solved, evolving functionality, and required integration across teams led Cerner to look beyond simple MapReduce. Cerner began to focus on how to construct a processing infrastructure that naturally aligned with the way the processing is described. Looking through the options available for processing pipelines including Hive, Pig, and Cascading, Cerner finally arrived at using Apache Crunch. Using Crunch’s concepts, we found that we were easily able to translate how we described a problem into concepts we can code. Additionally the API was well suited for our complicated data models and building integration contracts between teams.
When we describe a problem we often talk about its flow through the various processing steps. The processing flow is comprised of data from multiple sources, several transformations, various joins, and finally the persistence of the data. Looking at an example problem of transforming raw data into a normalized object for downstream consumers we might encounter a problem similar to the diagram below.
If we apply this problem to the raw MapReduce framework we begin to see problems absent in the standard WordCount example. The heterogeneous data and models, the custom join logic, and follow up grouping by key all could result in extra code or difficulty fitting this processing into a single MapReduce job. When our problem expands to multiple MapReduce jobs we now have to write custom driver code or bring in another system like Oozie to chain the workflow together. Additionally while we could fit the steps neatly into 1-2 MapReduce jobs that careful orchestration and arrangement could become imbalanced as we introduce new processing needs into the workflow.
This problem is common and fairly basic with respect to some of the processing needs we faced at Cerner. For the experienced MapReduce developers this problem might cause a momentary pause to design it but that is due to your expertise. For those less skilled imagine being able to break this problem down into the processing steps you understand and POJO like models of which you are already familiar. Breaking this problem down using Apache Crunch we can see how we can articulate the problem and still take advantage of the processing efficiency of MapReduce.
Building a Processing Pipeline with Apache Crunch
Apache Crunch allows developers to construct complicated processing workflows into pipelines. Pipelines are directed acyclic graphs (DAG) comprised of input data that is then transformed through functions and groupings to produce output data. When a developer is done constructing the pipeline Apache Crunch will calculate the appropriate processing steps and submit the steps to the execution engine. In this example we will talk about using Apache Crunch in the context of MapReduce but it also supports running on Apache Spark. It should be noted that pipelines are lazily executed. This means that no work will be done until the pipeline is executed.
To begin processing we need a pipeline instance on which we will construct our DAG. To create a MRPipeline we need the typical Hadoop Configuration instance for the cluster and the driver class) for the processing.
1
|
|
With a pipeline instance available the next step is to describe the inputs to the processing using at least one Crunch Source. A pipeline must contain at least one source but could read from multiple. Apache Crunch provides implementations for the typical inputs such as Sequence Files, HFiles, Parquet, Avro, HBase, and Text. As an example if we were to read data out of a text file we might write code like the following:
1 2 |
|
This code utilizes the TextFileSource to generate a collection of Java Strings from files at a certain path. The code also introduces two additional Apache Crunch concepts of PCollections and PTypes. A PCollection represents potential data elements to process. Since a pipeline is lazily executed it is not a physical representation of all of the elements. A PCollection cannot be created but can be read or transformed. Apache Crunch also has special forms of PCollections, PTable and PGroupedTable, which are useful in performing join operations on the data. A PType is a concept that hides serialization and deserialization from pipeline developers. In this example the developer is using native Java strings instead of dealing with wrapper classes like Writable’s Text class.
Processing based off of Java Strings is error prone so typically developers would transform the data into a model object that is easier to work with. Transformation of a PCollection is done through a DoFn. A DoFn processes a single element of the PCollection into zero or many alternate forms depending on its logic. The bulk of a processing pipeline’s logic resides in implementations of DoFn. Custom implementations of a DoFn requires extending the DoFn class as well as defining the input and output types. This allows Crunch to provide compile time checking as transformations are applied to collections.
1 2 3 4 5 6 7 8 9 10 11 12 13 |
|
Recalling the previous example processing problem we see that we need to perform join and grouping operations based on a key. Instead of converting the strings into a RefData object it would actually be better to convert the string into a key/value pair (e.g. Pair<String, RefData>). Apache Crunch has a PTable<K, V>, which is simply a special form of PCollection<Pair<K, V>>. Adjusting the function we can instead produce the key/value pair.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 |
|
Utilizing the PTable<String, RefData> collection we could then join that collection with another similarly keyed PTable using one of the many prebuilt implementations. The built in join functionality helps to avoid developing custom implementations of a common data processing pattern.
More functions are applied to the joined data to continue the processing workflow. The processing of the data is distributed in separate tasks across the cluster. In the example problem we need all of the data for a given key to be grouped to a single task for processing.
1 2 |
|
A pipeline requires at least one collection of data to be persisted to a target. Crunch provides the standard targets for data but consumer can also easily create new custom inputs.
1 2 |
|
When constructing the processing pipline for the example problem we would end up with an executable program that looks like the following:
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 |
|
It is very easy to see how the processing steps and flow of the original diagram can be mapped to Apache Crunch concepts.
Executing the code as written above would cause Apache Crunch to calculate the execution graph to be spread over two MapReduce jobs.
In this case having a MapReduce job being reduce only is less than ideal but the team has been able to focus on correctness and functionality first. Focus can now be shifted on performance tuning or adjusting algorithms as appropriate. The solid foundation of functionality and the simplicity of the concepts allows developers to easily understand how the processing pipeline. The ease of understanding helps to allow the team to refactor and iterate with confidence.
This blog post is essentially my script for my North America ApacheCon 2014 presentation. Slides are available here.


|
prometheus-client-c
0.1.1
Prometheus client for the C programming language
|
https://prometheus.io/docs/concepts/metric_types/#histogram More...
Go to the source code of this file.
Typedefs | |
| typedef prom_metric_t | prom_histogram_t |
| A prometheus histogram. More... | |
Functions | |
| prom_histogram_t * | prom_histogram_new (const char *name, const char *help, prom_histogram_buckets_t *buckets, size_t label_key_count, const char **label_keys) |
| Construct a prom_histogram_t*. More... | |
| int | prom_histogram_destroy (prom_histogram_t *self) |
| Destroy a prom_histogram_t*. More... | |
| int | prom_histogram_observe (prom_histogram_t *self, double value, const char **label_values) |
| Observe the prom_histogram_t given the value and labells. More... | |
| typedef prom_metric_t prom_histogram_t |
| int prom_histogram_destroy | ( | prom_histogram_t * | self | ) |
Destroy a prom_histogram_t*.
self MUSTS be set to NULL after destruction. Returns a non-zero integer value upon failure.
| prom_histogram_t* prom_histogram_new | ( | const char * | name, |
| const char * | help, | ||
| prom_histogram_buckets_t * | buckets, | ||
| size_t | label_key_count, | ||
| const char ** | label_keys | ||
| ) |
Construct a prom_histogram_t*.
| name | The name of the metric |
| help | The metric description |
| buckets | The prom_histogram_buckets_t*. See prom_histogram_buckets.h. |
| label_key_count | is the number of labels associated with the given metric. Pass 0 if the metric does not require labels. |
| label_keys | A collection of label keys. The number of keys MUST match the value passed as label_key_count. If no labels are required, pass NULL. Otherwise, it may be convenient to pass this value as a literal. |
Example
// An example with labels prom_histogram_buckets_t* buckets = prom_histogram_buckets_linear(5.0, 5.0, 10); prom_histogram_new("foo", "foo is a counter with labels", buckets, 2, (const char**) { "one", "two" }); // An example without labels prom_histogram_buckets_t* buckets = prom_histogram_buckets_linear(5.0, 5.0, 10); prom_histogram_new("foo", "foo is a counter without labels", buckets, 0, NULL);
| int prom_histogram_observe | ( | prom_histogram_t * | self, |
| double | value, | ||
| const char ** | label_values | ||
| ) |
Observe the prom_histogram_t given the value and labells.
| self | The target prom_histogram_t* |
| value | The value to observe |
| label_keys | A collection of label keys. The number of keys MUST match the value passed as label_key_count. If no labels are required, pass NULL. Otherwise, it may be convenient to pass this value as a literal. |


"The journey of a thousand miles begins with a single step." - Lao Tzu
Ruby classes are a great way to hold a collection of methods that can be used on an instance of the class. We have been using methods of a variety of classes - String, Integer, Array, and Hash primarily. The cool thing about Ruby is that you can create your own class and methods. Every time you create a new instance of a class, it will be able to call any of the methods from the class.
Here is a very simple class that has a few methods within it, just to make the point of creating methods for a particular class, creating new instances of a class, and calling methods on the instances.
In this very elementary example, we can see that an instance variable, @name, is initialized upon creation of a new instance of the Cat class. The instance variable can be used in any of the methods created within the class. The methods created in the class can be called on new instances of the class (as we can see at the bottom, outside of the class, where two new instances are created). If I were to call the .purr method on an instance of the String class, we would get an error that there is no purr method for the String class.
Of course there are much more interesting methods we can write to bring the Cat class to life, but for now, hopefully this gives someone new to Ruby a basic understanding of classes!


class: center, middle, inverse, title-slide # How to write a data analysis plan ### Steve Simon ### 2018/04/04 --- ## Who is this guy talking to you? - Steve Simon - Department of Biomedical and Health Informatics, UMKC - Enterprise Analytics, KUMC - P.Mean Consulting I have helped hundreds of researchers write grants. Most of the assistance was on very small grants ($25,000 or less). Many of the interactions were brief, but some were quite intense. I've been funded on a half dozen big grants, but never as a principal investigator.  I have co-taught short courses at the 2012 and 2014 International Conference on Integrative Medicine and Health on how to write a CAM grant. I have attended dozens of continuing education opportunities on grant writing. --- ## Research story I was working with a colleague in the federal government who wanted some advice about a statistical approach that his collaborators at a different federal agency had proposed. He warned me that his collaborators were insisting on their method because it was delivered by their "statistical gods." At first, I was jealous. If people thought of me as a god, as someone with supernatural power, then I could probably double my consulting rate. I think that a statistical god could get at least $250 an hour, don't you? But then it bothered me a bit. ## Research story, continued How did I learn all of the Statistics that I know? It wasn't delivered on stone tablets and it did not come in a vision. I learned statistics the old fashioned way, by reading books and attending classes and (more recently) through continuing education. There's nothing supernatural about Statistics. It takes work, but no more work than anything else. So don't think about statistics as if it were some supernatural power that is beyond the reach of ordinary mortals like yourself.


Home
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Editable DataTable example - Injecting id of the new record into the table
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Editing cells
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Two different tables on the same page
Using Ajax source


JSFrame.js examples
Make the window live inside a specific element
By specifying parentElement, the window becomes a child of that element.
You can also use this when you want to specify a window's movement range.
Parent Element
View source on GitHub


This Fresian island lies east of Vlieland and is largely a nature reserve. Many of the old buildings were constructed from the washed-up remains of shipwrecks. The island is also known for the cultivation of cranberries which often feature in the fare served to the many tourists which visit.
Which ever route is used to reach the harbour, ensure you use the latest charts and take care with your tidal calculations.
The harbour is at West Terschelling which is at the western end of the southern coast of the island.
On entry, avoid the ferry terminal and continue alongside the dyke to the yacht harbour.
Last updated January 2011.


Rules:
- The game begins by each player taking turns rolling the dice.
- The players turn ends either by "holding", or by rolling a 1.
- In the event that a player rolls a 1, all points accrued that turn will reset to 0 and it is the next players turn.
- Players will take turns rolling until a player reaches 100.


Ayahuasca (M. hostilis & Syrian Rue)
First on a personal note, I have always had difficult time taking myself and for that matter anyone serious, I guess due to low self esteem. It’s been hard for me to truly be intimate with others. I have lived most of my life in an analytic mindset. So for this reason I decided to let the brew help me.
I took 3 Grams of Syrian Rue in capsule form that was very finely crushed into a powder. I popped two pills in the first hour and decided to take the last pill an hour later. I thought that would balance the rue evenly. I then consumed 16 grams of M. hostilis boiled in about 6 ounces of water. 5 grams of gelatin was used to nicely clean the brew of all its astringents
T- 8:05pm - 2 pills Rue. Feeling Good.
T- 9:05pm - 1 pill Rue. Still feeling good, no nausea.
T- 10:00pm - Took 16 grams Mimosa in about 6 ounces of water. Spilled a lil by accident and left about a ounce behind got scared.
T- 10:10pm - Feeling ok, no real effects yet.
T- 10:20pm - Feeling better.
T- 10:30pm - Stomach aching a lil feeling weakly trippy.
T- 10:40pm - I'm tripping senses are off! Audio muffled, slight visual trails in corner of eyes, hands feel cold. I regain my conscious thoughts for brief moments then slip back into the trip. Thoughts are no longer consistent/normal. Feels more like a drug than a spiritual plant. Kinda pissed at this point I took a drug looking for a deeper meaning to life. Time is moving slowly.
T- 10:52pm - I'm feeling better. I think that it’s over. I begin to believe I'm coming down from the trip. I lay in my bed I focus on tv for 15-20 min.
Suddenly a wave of vibration hits me I am submerged in this unison inside my body. There was a warmth around my hands. I close my eyes deciding if I should focus on this trip or not, then I realize I have no choice because I'm peaking. I can’t do anything else! If I move to disrupt the process I'll just aggravate my body and probably hurt myself trying to walk around. I see tiny geometric cross like patterns joined together in neon floating across my eyes. I also hear birds chirping and other noises.
In the midst of my peak I believe this to be perfectly normal. Again at times I regain conscious thoughts and realize chirps are not real. My brain feels captured and frozen in all this activity esp behind the head. I was not in another dimension or floating in some cyberspace or outside my body. I knew all along I was lying on my bed in my room. The only thing that I felt was a Vibration that would funnel this feeling of unison.
Suddenly the tempo switches and I remember saying in my head hey what going on? Noooo! My heart begins to accelerate at a fast rate. My eyes dilate and I feel my body rumbling slightly. I regain conscious thought and go 'Ooh s**t.' This drug is going to kill me. What did I do? What’s going on with my heart? Then at that point the same intensity as before was now focused on me!
I felt horrible, the spot light was now on me. This deep resonating vibration exposed and combined every negative aspect of my being. Or it acting as a medium, enabling me to examine myself without my ego or logical mind to interfere. There was an intelligence about this vibration. I know I couldn’t have created such geometric shapes out of my own creativity! If so how could I bewilder my own self with an array of energy and vibration? This vibration also created a barrier between me and every thought, word or action I could use to try to rationalize what was happening. It just let me stay suspended in this misery for what seems like forever! In reality it was only minutes.
 At this point waves of vibration mixed with mental schemas of specific points in my life repeating over and over in my head making a clear and undeniable point that I was a un-evolved person. I remember looking in awe at the intelligence of human beings while staring at the TV when I regained conscious thought clear enough to interpret what I was looking at, watching the will and desires of love the people displayed on the show. At this time it came to me that life was all sequential and the events you choose are based on your own resonance. Simply put, what you see and experience is what you expect to see and experience, based on your own mentality. I was shown how my low evolution shaped all the decisions I made in my life. It was as if this vibration was trying to convince me of how un-evolved I was.
I began to ask why I was created in this non-loving un-evolved state? What was my purpose? I then was given the feeling that I was a program sent to give highly evolved people on this planet the experience of things like compassion, patience, introspection, and sympathy. Things they would naturally feel for me in their interactions with me. Which is exactly what I have been, seeing as most of my life even when I wanted to be respected or seen as somone important I never been able to be seen that way unless someone tried there best to pretend. :<>
I am relieved to know some of the questions I had. It can be hard to deal with. Yet thinking about how my life has gone so far it makes sense. What is this Higher Vibrating Resonance? My opinion is that this vibration is of a higher source living in a different frequency than us. I'm almost positive the word program was translated by my own mind. It means Im a reactor to the situations I encounter because of my low state of evolution. For example, think of how lower evolved animals react to the smell of blood. It is like they are programed. It’s the same concept. I will try this again in a few months after I make major changes in my life hopefully I'll get a better appraisal. This plant is real so be mindful of why your using it.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


Friend Finder!
Answer a few basic questions.
Then find the friend with the greatest compatibility!
Go to Survey


SpecCheck
public struct SpecCheck<T>
Checking properties of an object or a view
-
Return a text matching if present in any form on an object
Declaration
Swift
public func isVisible(on parentView: UIView? = nil, visualize: SpecVisualize = .none) -> Bool
Parameters
on
Specify a root view to check against (if left as nil, last parent view will be assumed as root in a UIViewController so we do recommend to pass a root view to check against to have more dicisive result)
visualize
Visualization types (display route to the element as a view structure)
Return Value
Bool (true if found)


abstract fun buildFilteredTransaction(filtering: Predicate<Any>): FilteredTransaction
Build filtered transaction using provided filtering functions.


Bio
I am currently a developer student at DeltaV Code School in Cedar Rapids, IA! I am enjoying the
program
and cannot wait for the opportunity to utilize my new skills.
I have several places across the Midwest and some places further when I was young.
Iowa seemed to be the most common destination, so I decided to
just settle here! After several dead end jobs, I decided I need a good career and ended up in the
DeltaV program. In my free time, I enjoy exploring and hiking in the woods with my two dogs,
photography, taking long drives in
my Kia, and reading a good sci-fi/fantasy book.
Goals
My current goal is finishing the DeltaV program with the best grades I can get! After that I hope to
find a job as a Software Developer, so I can take advantage of all the programming I have learned. I
would also like to work on different apps to help people with ADHD.
I am also training towards a 5k trail race!
Favorite Movies
- Interstellar
- The King's Speech
- The Fountain
- Lord of the Rings
- Moon
- Meet Joe Black
- The Fifth Element
- The Quiet Man
- Star Wars: original trilogy
- M by Fritz Lang
Work History
- TaxAct-TaxPayer
- Target-Warehouse Woker
- Dick's Sporting Goods - Bike Tech
- Timberline Manufacturing - Wire Harness Assembler
- Lenscraters - Lab Tech
Education
- Kirkwood Community College - Associate of Science


kelp biomass giant warming species climate Fig. temperature {border-style data px;} sea #ffffff;} Santa Supplementary time forest Barbara warm forests Mar. anomalies change using California Reed conditions sentinel study ecosystems marine mean sites Ecol. Macrocystis Pacific Table change. nitrate ocean regional series (–) -year algae effects invertebrates observed px; responses southern understory {font-family Biol. Channel Science associated average early ecosystem extreme font-size growth nitrogen period previous primary unprecedented value wave years Ecological North USA University averaged canopy coastal decline did double; duration dynamics given indicators large model populations response sensitive stars values water Data Fish Moreover, Press a). border-color border-width calculated changes cool days days, disease events expected fishes foundation height kelp, maximum monthly obtained periods produce production prolonged pyrifera range recent solid; structure urchin used variance year {font-style {font-weight California, Dayton Diego Harvest However, Information Landsat Longer Miller Nat. Nature Niños Ocean Rassweiler San Sea [], bold coast compared considered consistent courier; daily disturbance ecological em; estimated estimates global independent internal kelp's led limited local long-term low mass measured month potential program pt;} records reef relationship research satellite sessile significantly size status vulnerable waters


This is my website. I will use it to document my work into Fabo X Academy class for the next 9 weeks.Thanks for visiting!
This is a second paragraph to show you how coll CSS is!


Regular Expressions
Getting Fancy
August 10, 2015
For this blog, I will attempt to learn about and explain regular expressions. I have not yet had the opportunity to implement any into code, so this should be fun (mild sarcasm).
A regular expression (also known as regex or regexp) is a specific text string used for describing a search pattern. It’s similar to the “wildcard” notation that we’ve seen often such as:
*.mp3
This would call a search in your directory with the ‘splat’ operator (or asterisk) for all files that contain the ‘.mp3’ extension. The splat works like a wildcard. Now a regex expression would look like this:
.*\.mp3$
It can do much more than a simple splat can. For example this:
\b[A-Z0-9._%+-]+@[A-Z0-9.-]+\.[A-Z]{2,4}\b
can run a universal search for an email address, despite the numerous characters and numbers that typically comprise an email address.
They can do much more than that, including pattern matching, and find and replace operations. They are implemented into pretty much every major language including Ruby and JavaScript.
But how exactly do they work?
Have you ever opened an image in a web browser and just got a bunch gibberish with weird symbols and such? That’s sort of like the metadata, a series of characters and strings arranged in a particular order to initiate a literal meaning. A regex translates each character into a metacharacter, a character that has special meaning to a computer program. The metacharacter is an underlay of nearly every string, array, and character we type. So a regex can search within these metacharacters (called atoms) and look for a specific pattern, when it finds the pattern it returns the result.
Another example of a useful regex search would be for different dialect differences such as in the word “color” or “colour”. One could type colo[u]r and the regex would find both variants of the word used (also grey and gray). Search engines also have this type of function implemented natively.
They can range from an extremely simple and easy to remember syntax such as the example above, or extremely complex and long expressions that will take a few tries to get right.
The purpose of this blog post serves primarily as an introduction, I won’t get into the nitty gritty exploration of the syntax, but it should be noted as an extremely useful tool for any programmer.


Ben & Jerry's sued over 'happy cow' characterization
by The Associated PressBURLINGTON, Vt. -- Ben & Jerry's is facing a lawsuit accusing the ice cream maker and its parent company of false advertising by saying the milk and cream in its products comes from "happy cows."
In a complaint filed Oct. 31 in federal court in Burlington, Vermont, where Ben & Jerry's was founded, environmental advocate James Ehlers accuses the company and Unilever of deceiving consumers.
He says many of the farms that produce the milk and cream are factory-style, mass production dairy operations. He says only some are part of the company's "Caring Dairy" program.
Ben & Jerry's spokesman Sean Greenwood emailed Friday that the company doesn't comment on pending lawsuits. He said it's proud of the work it's done with Vermont family farmers and is committed to building a resilient, regenerative dairy supply.


This is a small object allocator used for allocating small objects that persist for more than one time step.
More...
#include <BlockAllocator.h>
This is a small object allocator used for allocating small objects that persist for more than one time step.
- See also
- : http://www.codeproject.com/useritems/Small_Block_Allocator.asp
◆ BlockAllocator()
| BlockAllocator::BlockAllocator |
( |
| ) |
|
◆ ~BlockAllocator()
| BlockAllocator::~BlockAllocator |
( |
| ) |
|
◆ allocateMem()
| void * BlockAllocator::allocateMem |
( |
int |
size | ) |
|
Allocate memory. This will use alloc if the size is larger than MAX_BLOCK_SIZE.
- Parameters
-
◆ clearMem()
| void BlockAllocator::clearMem |
( |
| ) |
|
◆ freeMem()
| void BlockAllocator::freeMem |
( |
void * |
p, |
|
|
int |
size |
|
) |
| |
Free memory. This will use free if the size is larger than MAX_BLOCK_SIZE.
- Parameters
-
| p | The pointer will be freed |
| size | In byte unit |
◆ _chunkCount
| int BlockAllocator::_chunkCount |
|
private |
◆ _chunks
◆ _chunkSpace
| int BlockAllocator::_chunkSpace |
|
private |
◆ _freeLists
◆ BLOCK_SIZES
| const int BlockAllocator::BLOCK_SIZES = 14 |
|
staticprivate |
◆ CHUNK_ARRAY_INCREMENT
| const int BlockAllocator::CHUNK_ARRAY_INCREMENT = 128 |
|
staticprivate |
◆ CHUNK_SIZE
| const int BlockAllocator::CHUNK_SIZE = 16 * 1024 |
|
staticprivate |
◆ MAX_BLOCK_SIZE
| const int BlockAllocator::MAX_BLOCK_SIZE = 640 |
|
staticprivate |
◆ s_blockSizeLookup
| byte BlockAllocator::s_blockSizeLookup |
|
staticprivate |
◆ s_blockSizeLookupInitialized
| bool BlockAllocator::s_blockSizeLookupInitialized |
|
staticprivate |
◆ s_blockSizes
| int BlockAllocator::s_blockSizes |
|
staticprivate |
Initial value:=
{
16,
32,
64,
96,
128,
160,
192,
224,
256,
320,
384,
448,
512,
640,
}
The documentation for this class was generated from the following files:


Things together makes great work
Facebook
This is a link to Facebook!
Youtube
This is a link to Youtube
Googlechrome
This is a link to Googlechrome
And...
Github
This is my favourite website
DesginCBD
This my favourite south africa affiliates websites
twitter
This is link to Twitter


Welcome to beta.consumerfinance.gov!
We’re redesigning consumerfinance.gov to make it easier to use. Follow our work here as we build in the open.
Why are we redesigning in beta?
A beta release gives both users and developers a sense of new features and capabilities. It helps us identify what’s working and what’s not. But the content here is not necessarily accurate or up to date. If you need reliable information from us right now, visit the current site.
Open government, open code
The new consumerfinance.gov is an open source project, but it’s not our only one. All the software we build is open source by default. We release as much as possible.


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Attending
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Username
Updated By
Changed


sybase_fetch_field (PHP 4, PHP 5, PHP 7) sybase_fetch_field — Get field information from a result 说明 object sybase_fetch_field ( resource $result [, int $field_offset = -1 ] ) sybase_fetch_field() can be used in order to obtain information about fields in a certain query result. 参数 result field_offset If the field offset isn't specified, the next field that wasn't yet retrieved by sybase_fetch_field() is retrieved. 返回值 Returns an object containing field information. The properties of the object are: • name - column name. if the column is a result of a function, this property is set to computed#N, where #N is a serial number. • column_source - the table from which the column was taken • max_length - maximum length of the column • numeric - 1 if the column is numeric • type - datatype of the column 参见 • sybase_field_seek() - Sets field offset User Contributed Notes 2 notes =============================================================================== Bit short on comments and tips bout this one so head down to mysql_fetch_fields where the concept is the same. I seemed to get an infinite loop over there using the $i counter tho, so I used a for loop instead. The list of properties you can get from what I've called $info is in the example to the mysql equivalent. //start of an example to print out column headings echo "
| $info->name | "; } echo "


When an HTML document is loaded into a web browser, it becomes adocument object. The document object is the root node of the HTML document and the "owner" of all other nodes: (element nodes, text nodes, attribute nodes, and comment nodes). The document object provides properties and methods to access all node objects, from within JavaScript.
$("ul#user").children("li").first().click(function() {
$(this).remove();
});


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This is a simple random expression generator for testing expression evaluators!
Just choose a complexity (roughly determines how long the expression is) and hit "Generate".
Note: just click on the output expression to highlight it. Then, press ctrl+c to copy it.
Complexity (between 1 and 100):


{{ template "snippets/header.html" . }}
In order to perform actions you need Bitcoin Cash to pay for the transactions. Please send some BCH to your address: {{ .Key.GetAddress.GetEncoded }}
You don't need much to begin, actions cost less than one cent each (yes, $0.01). If you don't have any BCH, try visiting a faucet like free.bitcoin.com.
If your wallet has funds, make sure you have large enough UTXOs available. You may need to consolidate smaller UTXOs into a larger one.
{{ template "snippets/footer.html" . }}


Duration
15 minutes
Goals
The primary goal of this lab will be to create a custom dynamic cell for a table view using the Xamarin iOS designer.
Required assets
The provided Exercise 3 folder contains a starter solution as well as a completed solution you can use to check your work. Please make sure you have this folder before you begin.
Challenge
You'll start with an existing application that has a UITableViewController
created using the Xamarin designer.
Currently it's using the default cell style to display a single line of text.
You're going to create a dynamic protoype cell in the designer and use it to display the weather data within the table view.
- Inspect and run the starter solution in the Exercise 3 folder, you will see that it's not very visually appealing.
- Open the storyboard and create a dynamic prototype cell in the table view using the designer.
- Add a backing class for the cell.
- Add child views to the prototype cell using the designer.
- Update the table view code-behind to use the prototype cell.
Steps
Below are the step-by-step instructions to implement the exercise.
Inspect the starter solution
Open the starter solution in the Exercise 3 folder and run the application. It works but it's not very visually appealing.
Create a dynamic prototype cell using the designer
Add a dynamic protoype cell to the existing table view and add child views to visualize the weather data.
- Open Main.storyboard and change the view to an iPhone 6.
- Select the Table View on the Table View Controller and change the number of Prototype Cells to 1.
- Select the new Prototype Cell on the table view.
- Set the Identifier (for cell re-use) to "cell_id".
Add a backing class for the cell
We'll need a backing class for the prototype cell so we can connect our data to the UI later.
- Make sure the prototype cell is selected in the designer.
- In the properties pane, set the Class field to "WeatherTableCell". This will create a new class in the project.
Add child views to the prototype cell using the designer
Add child views to the prototype cell to display our weather data.
- Search for Label in the Toolbox and drag three
UILabel
s onto the prototype cell. - Arrange the labels using their frames.
- In the Properties Pane, name the labels from left right as: "TextCity", "TextTempHi", and "TextTempLow".
- Optionally you can adjust the font sizes of the Labels, in the completed project TextTempHi and TextTempLow have font sizes of 32.
- Add an Image View from the Toolbox and resize it to fit within the prototype cell.
- Set the Name of the Image View to ImageWeather.
- Set the background color of the cell and the font colors. The weather images we'll be using are white so you'll want to pick a darker color for the background. The completed solution uses a blue background and white text.
Update the table view code-behind to use the prototype cell
Now it's time to update the code-behind to use the protype cell and pass it the correct weather data.
- Open WeatherTableCell.cs
- Add a new public method called
UpdateData
that takes aWeather
object as a parameter. - Set the appropriate properties using the passed Weather object on the child views we just created.
- Finally, update the code in WeatherTVC.cs.
In the
GetCell
method, cast the cell returned byDequeueReusableCell
to aWeatherTableCell
. - When using dynamic prototype cells, the Storyboard registers the cell type for us so we no longer need to instantiate the cell in code. Delete the code that is newing up a table view cell. Make sure your re-use identifier string matches the one you set in the designer.
- Call the
UpdateData
method on the cell and pass in the appropriate Weather data. - Run the app.
Summary
Congratulations! You have succesfully created and utilized a dynamic prototype cell.


--- title: Latent Semantic Indexing tags: C#, .NET, LSI, Semantic analysis meta: lsi, latent, semantic, indexing, documents, c#, .net, visual studio, analysis abstract: Latent semantic indexing (LSI) provides the ability to correlate semantically related terms that could be latent in the set of documents. Latent semantic analysis allows us to see semantics in the set of documents and how we can extract meaning of the text in the documents. This article will briefly explain latent semantic indexing and show its demo implementation in C# .NET. thumbnail: date: 2008-03-23 ---
Latent semantic indexing (LSI) provides the ability to correlate semantically related terms that could be latent in the set of documents. Latent semantic analysis allows us to see semantics in the set of documents and how we can extract meaning of the text in the documents. This is used to get a response to queries that return more "meaningful" results and not just a keyword search.
Excerpt from Wikipedia: http://en.wikipedia.org/wiki/Latent_semantic_indexing
"A key feature of LSI is its ability to extract the conceptual content of a body of text by establishing associations between those terms that occur in similar contexts..... The method, also called latent semantic analysis (LSA), uncovers the underlying latent semantic structure in the usage of words in a body of text and how it can be used to extract the meaning of the text in response to user queries, commonly referred to as concept searches. Queries, or concept searches, against a set of documents that have undergone LSI will return results that are conceptually similar in meaning to the search criteria even if the results don’t share a specific word or words with the search criteria”
Download Source Code - lsi_dotnet_src.zip 56 KB
Download sample collection of documents
Permission is hereby granted, free of charge, to any person obtaining a copy of this software and associated documentation files (the "Software"), to deal in the Software without restriction, including without limitation the rights to use, copy, modify, merge, publish, distribute, sublicense, and/or sell copies of the Software, and to permit persons to whom the Software is furnished to do so, subject to the following conditions: THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
UNDERSTANDING LSI:
This has been done before by Dr. E. Garcia and in explained in good enough detail - I won't be doing justice to this topic if I explained it again.
SVD LSI tutorial: http://www.miislita.com/information-retrieval-tutorial/svd-lsi-tutorial-1-understanding.html
This tutorial is in 5 parts, but if you know what LSI is - jump over to it's 4th part. Some of the variable names in the code also come from these tutorials - so it would be easy to map to the code.
In here, I’ll be explaining the steps followed in the source-code in two parts.
Part 1 - What the code does. You are currently reading it.
Below is the demo implementation in C# .NET.
Examples from a sample collection of documents
Above: Simple search query w.r.t. contents in the sample. Show the matching documents. Rank approximation: 35% of collection
Above: The same query, but see the document in highlighted result. The document mentions word "fighting" which is synonymous to "clash". (Of course, the collection must have enough content to be able to establish synonymy). Rank approximation: 35% of collection
Above: Another random query that just occurred to me. The word "people" is present in the documents. The word "convince" does not occur in the highlighted document. But, interestingly, it ranks documents related to "social engineering". Rank approximation: 35% of collection
Part 2: - Creating Index .... Continue reading >
SVD LSI tutorial: http://www.miislita.com/information-retrieval-tutorial/svd-lsi-tutorial-1-understanding.html
Cosine similarity: http://www.miislita.com/information-retrieval-tutorial/cosine-similarity-tutorial.html
DotNetMatrix: http://www.codeproject.com/Articles/5835/DotNetMatrix-Simple-Matrix-Library-for-NET
Pivoted Document Length Normalization (and cosine normalization): http://ir.iit.edu/~dagr/cs529/files/handouts/singhal96pivoted.pdf
One more: Missing - I used one more web page as a reference - which explained cosine normalization and the creation of weighted term matrix in simpler language and helped me speed up this work. Unfortunately, I am unable to find the reference to that (after all it's 4 years since I last worked on this)


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the Cupertino-based Mac maker has reportedly crafted a super-slim external keyboard for the new Macs. It's said to draw upon the aesthetic and feel of the low-profile keyboard which was first integrated with the company's 13-inch MacBook portables in May of 2006


Elleby leads Washington State past Idaho State 72-61
by WILL FERGUSONPULLMAN, Wash. (AP) - One of CJ Elleby’s favorite things is getting a steal and then seeing the open court in front of him.
His seven steals and 23 points helped lead Washington State to a 72-61 victory over Idaho State Sunday afternoon in Pullman.
“It’s my favorite,” Elleby said. “I love getting steals. I don’t think I have had seven before.”
Washington State (2-1) had three different players in double figures, went 13 of 16 from the free-throw line and outscored Idaho State 46-32 in the paint.
Elleby had a solid performance, shooting 9 of 14 from the field, and grabbing eight rebounds. Issac Bonton added 15 points and four assists, while Jeff Pollard scored 11 points and had six rebounds.
Eight different players scored for the Cougars, who shot 44 percent overall despite only going 3 of 17 from beyond the arc.
“We took care of the ball and made some good plays,” said Washington State coach Kyle Smith. “I thought we played with a little more poise in the second half and got our legs underneath us.”
The Bengals (2-2) struggled with the Cougars’ defensive effort. Washington State scored 21 points off 20 Idaho State turnovers and held Tarik Cool, the Bengals leading scorer at 19.7 points per game, to two free throws. Cool went 0 of 6 from the field.
Chier Maker had 15 points and six rebounds for the Bengals and Jared Stutzman added 15 points and five rebounds.
“Obviously we are disappointed we didn’t win the game, but I’m happy with a few things,” said Idaho State coach Ryan Looney. “We have got three guys who might be starters for us who haven’t played a game yet because we are waiting on a waiver and two have injuries. We are going to keep coaching them up and try to get better every day and have all those guys healthy here soon.”
BIG PICTURE
Washington State: After shooting just 4 of 14 in a loss to Santa Clara, Elleby found his stroke again against Idaho State. He will need to remain consistent for the Cougars to make a splash in the Pac-12.
Idaho State: The Bengals were plagued by turnovers and a lack of production from its leading scorer against Washington State.
SECOND IN STEALS
Elleby’s seven steals in a game ranks second all-time for the Cougars.
INJURY WATCH
Washington State’s Jaylen Shead left the game on his own with an injury in the second half. Coach Kyle Smith said he will be evaluated over the coming week.

Washington State: The Cougars play the Omaha Mavericks at home on Thursday night.
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A Code Yellow Warning for Heavy Rain Issued for 7 Bulgarian Regions
A Code Yellow warning for heavy rain has been issued for 7 Bulgarian regions, the National Institute of Meteorology and Hydrology (NIMH) said on its website.
The warning is in place for the regions of Sofia, Blagoevgrad, Pazardzhik, Plovdiv, Stara Zagora, Haskovo, Kardzhali and Smolyan.
Picture Source: NIMH


{% extends "base.html" %} {% block title %} Address Form {% endblock %} {% block main %}
All shipments will originate from {{ from_address.street1 }}, {{ from_address.city }} {{from_address.state }} {{ from_address.zip }}
Street address, P.O. box, company name, c/o
Apartment, suite , unit, building, floor, etc.


--- layout: layout title: "About Fengwei Wang" --- About Me!
WangFengwei studies at ZJU. He has proficiency in Java and C, and also knows something about python, js.


The promise of blockchain is hyper efficient organizations. And futurflux’s end-to-end blockchain development and deployment services help you become one.
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The National’s Homecoming Festival returning in 2020
by Amanda HatfieldAfter taking a year off in 2019, The National‘s Homecoming Festival will return to Cincinnati, OH’s Smale Riverfront Park on May 8-10, 2020. It’ll once again be produced in association with MusicNOW, who were also onboard for the inaugural edition in 2018. The lineup is due to be announced next week, and tickets go on public pre-sale Monday, 11/18 at 10 AM EST, with the general sale begining Friday, 11/22 at 10 AM EST.
At the 2018 edition of the festival, The National performed Boxer in full for its tenth anniversary, joined by guests, and debuted a new song. With their fifth studio album High Violet turning ten on May 10, perhaps they’ll perform it in full this time around instead? Stay tuned for more details.


Presented by Frederik Bouillon
A JAVASCRIPT LIBRARY FOR BUILDING USER INTERFACES
DESIGN PATTERN
The end


{% extends 'base.html' %}
{% block head %}
{% endblock %}
{% block content %}
Search form: Device type is required (one or more). You can then search by flight(s) number(s), IATA codes or dates (or a combination of them)
Tip: Be sure to include a space between company code and flight number (AF 009 not AF009)
| flight | date | from | to | device | low LET | high LET | total |
|---|


Preambule: the algorithms in this page are all implemented in Javascript, and your browser is currently using them to generate the numbers you’ll see below. Please note that I’m not a good Javascript dev and the code I’ve written is hackish at best.

You’ve got this nice recursive function that you love and cherish, but oh boy it’s an incredibly prohibitive one to compute! How can you keep the little recursive thing and make it much faster?
You’ve been told that dynamic programming is the Graal. You’ve been told that dynamic programming hard.
However, let me tell you that with enough lazyness, you too can do it while not changing much to your lovely recuring thing.
The Mighty Change Giving Algorithm
Your professor Ms. Computer Science gave you a cute little thing. It’s not really important to know what this is supposed to do, but she said it computes the change needed to form an amount $n$ with $10$, $5$ and $1$ cents coins (we trust her with that):
function getChange(n) {
recursiveChange(n, 3) // base case is k=3
}
// helper
function recursiveChange (n, k) {
if (k == 1) return 1;
var big = 0;
if (k == 3) { big = 10; }
else { big = 5; }
if (n < big) {
return recursiveChange(n, k-1);
}
return recursiveChange(n - big, k) + recursiveChange(n, k-1);
}
Whether the algorithm actually does compute the proper change (or not!) is quite irrelevant to our problem. We just want to make this thing FASTER! Fast like a Rockomax “Mainsail” rocket engine!
Wow, that’s pretty fast! How are we going to do this, Antoine?
Oh well, I’m not too intelligent, but I have a trick! It’s called lazy loading and I’ve heard it’s quite the cool and hip thing. But first, let’s look at how this thing grows!
Well, from the look of it, I’d say this is growing pretty FAST! But that’s not the ‘fast’ we’re looking for. We want this Recursions done column to be little, so that the algorithm itself is FAST!
Note : All along the post, I’ve assumed that faster means less recursions. Let’s just assume that this is true in this algorithm, shall we?
So What Is Lazy Loading Anyways?
You might have seen the lazy loading pattern in other shapes. It’s quite used in Java (and everything else!) to avoid loading expensive objects until they’re very needed. Here’s an example (the only part of this post that’s written) in Java:
// hugeString is huge, so don't store it by default.
private String hugeString = null;
// People ask for the huge string using this method, always
public String getHugeString() {
// If nobody ever asked for hugeString, it's null so we get it
if (hugeString == null) {
hugeString = Database.getHugeString();
// from now on, hugeString is set
}
// In any case, we return hugeString, whether it was already there or not
return hugeString;
}
That’s pretty simple, right? Let’s see how this applies to our $getChange$ algorithm.
Identifying Key Informations
There are a few things you need to just know about dynamic programming. Here they are:
1. Thou shall need a multi-dimensional array.
$$ dynamic\ programming \to array $$
The answer to question 1 is pretty easy: need I use an array? Yes!
2. Thou shall know how many dimensions thy array will have, somehow.
$$ array[i][j][k]…[x] $$
Let’s look at question 2. To do that, recall the first part of the algorithm:
function recursiveChange (n, k) {
...
}
You can see here that function recursiveChange
takes two arguments, n
and k
. So the answer to question 2 is a 2-dimensional array. That’s pretty easy so far.
3. Thou shall know what size thy dimensions will be, somehow.
$$\begin{align} i&=something\\ j&=somethingElse\\ &\cdots \\ x&=somethingAtLast \end{align}$$
Now, the harder part; question 3. We need to know how big each argument will be, because that’s how big we need to make the dimensions. So we just look at the code and figure it out with our dumb little brains:
First let’s look at the easy one.
How big will k
be?
We see in the getChange
function that k
starts with value $3$.
function getChange(n) {
recursiveChange(n, 3) // base case is k=3
}
Now we look if anything in the helper function recursiveChange
will ever make k
bigger:
function recursiveChange (n, k) {
if (k == 1) return 1;
var big = 0;
if (k == 3) { big = 10; }
else { big = 5; }
if (n < big) {
return recursiveChange(n, k-1);
}
return recursiveChange(n - big, k) + recursiveChange(n, k-1);
}
Nope, never. So $k\leq3$ in any case.
How big will n
be?
We know that the algorithm starts with initial value n
, then recurses with equal or smaller values than n
. So n
will be as big as n
is. This sounds weird, but what it means is that the array will be dynamically sized by a constant 3
and a varying n
.
Putting it 1, 2 and 3 together.
So we need a 2-dimensional array of size $n \times 3$.  I use it too, just to feel smart and distingué. You should do that too from now on.
memo = new Array(n);
for (var i = 0; i < memo.length; i++) {
memo = new Array(3);
}
Note: actually, it’s
n + 1
and3 + 1
because prof Ms. Computer Science likes her algorithms 1-indexed.
You can clearly see that the space complexity of your yet-to-be-born algorithm will somehow be bounded below by n
. Actually, at least $3n$. The fancy people say $\Omega(n)$.
Cool Bro, But Where’s My Rockomax-Fast Algorithm?
Well from now on ‘bro’, it will be even easier. Apply the following recipe:
- At the beginning of
recursiveChange
, look intomemo
if you don’t know the answer already. If not, change nothing.
if (memo[n][k]) { // we cheat; javascript considers `null` to be false.
return memo[n][k];
}
- For every recursive call to
recursiveChange(i, j)
, check ifmemo[i][j]
is known.- If yes, return that value instead of doing the recursion.
- If no, do the recursive call, but save the value you get back into
memo[i][j]
.
if ( !memo[i][j] ) {
memo[i][j] = recursiveChange(i, j);
}
// use `memo[i][j]`
- When you’re about to
return
the computed value at the very end, save it intomemo
first.
memo[i][j] = answer;
return answer;
The Quasi End Result
We do as I’ve said above, and replace all the access to lazy ones, and save whatever we compute at each step. Here’s the result:
function getChangeDynamic(n) {
var k = 3;
// create our memo array
var memo = new Array(n);
for (var i = 0; i < memo.length; i++) {
memo[i] = new Array(k);
}
// call the recursive function as usual
recursiveChange(n, k, memo)
}
// a helper to clean up the code a bit
function lazyGet(i, j, memo) {
if ( !memo[i][j] ) {
memo[i][j] = recursiveChange(i, j, memo);
}
return memo[i][j];
}
// Keep the recursive function as is, minus the use of the memoization
// array, for lazy loading
function recursiveChange (n, k, memo) {
if (k === 1) {
return 1;
}
// if we know the answer, don't compute anything
if ( memo[n][k] ) {
return memo[n][k];
}
var big = 0;
if (k === 3) {
big = 10;
} else {
big = 5;
}
// lazily compute the values
if (n < big) {
return lazyGet(n, k-1, memo);
}
var withoutBig = lazyGet(n-big, k, memo);
var withBig = lazyGet(n, k-1, memo);
// save answers we have had to compute the long way
memo[n][k] = withoutBig + withBig
return memo[n][k];
}
So that was our poor-woman and poor-man universal ‘dynamization’ technique: use the plain recursive algorithm, and plug in some lazy-loading everywhere. Is this cheating? No it’s not. Is this a elegant way? Hmm maybe, maybe not… but it works incredibly well!
Show Me The Mumbers!
Starting off, ‘mumbers’ is not a word. Now that this is out of the way, let’s indeed look at some numbers. We will want to look at two things:
- The computed answer: we want to make sure our algorithm is still computing the right thing, don’t you agree?
- The number of recursions: we want to see if we’ve made the thing faster.
I’ve copy-pasted the algorithm above with some minor changes into the HTML of this page. Along with some helpers, I’m now saying this:
“Javascript, compute thy numbers!!!”
Here it goes :
If You Are Truly Lazy, Stop There.
That was it.
If You Want Faster Than A Rockomax, Carry On.
Now that we’ve seen some numbers, we can see a pattern. The number of operations performed changes only every multiple of $5$. That should be a hint that there’s some wastage going on.
Let’s see what the memo
array looks like. Now, let me warn you of two things:
- I’m NOT a javascript ninja.
- This code is most likely insane.
- I’m not saying that this is the best possible algorithm, and I don’t care about the best possible algorithm to ~compute change~.
- What follows assume you have a bit more of a brain that the previous part. Which means, I won’t do lengthy explanations of every line.
That was not two but four things, great! Carry on.
Let’s abuse Javascript a little bit and instrument our memo
array to make it more convenient to work with. Please close your eyes:
var memo = new Array(n+1);
for (var i = 0; i < memo.length; i++) {
memo[i] = new Array(k+1);
};
memo.lazyGet = function(i, j) {
if (!this[i][j]) {
this[i][j] = getChangeDynamic(i, j);
}
return this[i][j];
}
memo.get = function(i, j) {
return this[i][j];
}
memo.set = function(i, j, val) {
this[i][j] = val
return val; // for chaining
}
Alright, now it will be easier to hack around the algorithm and change things.
Show Me More Numbers!
We want to see more data! Looking at the memo
array for some $n$, we see this:
This thing is filled with unused cells!
We can see that indeed, every non multiple of $5$ is unused. We can thus change every access to the memo
array to only use multiples of $5$, like this:
var len = Math.floor(n/5) + 1 // 1-indexed
var memo = new Array(len);
for (var i = 0; i < memo.length; i++) {
memo[i] = new Array(3 + 1); // 1-indexed
};
memo.lazyGet = function(i, j) {
var realI = Math.floor(i/5);
if (!this[realI][j]) {
this[realI][j] = getChangeDynamic(i, j);
}
return this[realI][j];
}
memo.get = function(i, j) {
var realI = Math.floor(i/5);
return this[realI][j];
}
memo.set = function(i, j, val) {
var realI = Math.floor(i/5);
this[realI][j] = val
return val; // for chaining
}
Let’s look at the result :
Wow, that’s much better! But we still see there’s a lot of extra undefined
. Let’s remove it by making memo
$n \times k-1$, and redirecting all the accesses from j
to j-1
:
var len = Math.floor(n/5) + 1
var memo = new Array(len);
for (var i = 0; i < memo.length; i++) {
memo[i] = new Array(3); // remove the extra 1
};
memo.lazyGet = function(i, j) {
var realI = Math.floor(i/5);
if (!this[realI][j-1]) {
this[realI][j-1] = getChangeDynamic(i, j);
}
return this[realI][j-1];
}
memo.get = function(i, j) {
var realI = Math.floor(i/5);
return this[realI][j-1];
}
memo.set = function(i, j, val) {
var realI = Math.floor(i/5);
this[realI][j-1] = val
return val; // for chaining
}
Let’s look at the result :
Cleaned-up that undefined column!
Now we see those silly entries that are invariably $1$. Let’s get rid of them:
var len = Math.floor(n/5)
var memo = new Array(len); // removed the extra 1
for (var i = 0; i < memo.length; i++) {
memo[i] = new Array(3-1); // removed the extra 1
};
memo.lazyGet = function(i, j) {
var realI = Math.floor(i/5) - 1;
// add cases where answer is invariably 1
if (realI == -1) { return 1;} // realI will be -1 for access to entry 0
if (j == 1) { return 1;}
if (!this[realI][j-2]) {
this[realI][j-2] = getChangeDynamic(i, j);
}
return this[realI][j-2];
}
memo.get = function(i, j) {
var realI = Math.floor(i/5) - 1;
var row = this[realI];
if (!row) { return null; }
return row[j-2];
}
memo.set = function(i, j, val) {
var realI = Math.floor(i/5);
this[realI-1][j-2] = val
return val; // for chaining
}
And at last, let’s look at the resulting table:
How Is This Better Than The First Algorithm?
Let’s compare the original algorithm with the initial dynamic algorithm and this new, shiny one. We compare it’s values with the original recursive only algorithm, but we omit the initial dynamic version (we’ve already shown it equivalent).
Yep, much better! Both the initial getDynamicChange
and the optimized one are growing by a factor of $n$. However, the inital one grows by $n/2$ while the optimized one grows by $n/4$. It’s a 100% speed-up.


Shane Zachary Cranor
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| Concept | Goal | Actual |
|---|---|---|
| Incomes | Goal | Received |
| Demurrage | ||
| Crowd-funding | ||
| total | ||
| Payments | Goal | Paid |
| Community Services | ||
| Other Expenses | ||
| total |
| Wallet | balance |
|---|---|
| Commune Wallet | |
| Treasury Wallet |
| Monetary Mass | |
|---|---|
| Total Minted | |
| Total Credit endorsed | |
| Total Monetary Mass |
| Reputation Mass | |
|---|---|
| Total Trust used | |
| Total Trust available | |
| Total Reputation Mass |


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This demo shows how the MediaStreamAudioSourceNode can be used to take the input from the audio driver specified in the computer's audio settings and sends the signal further down in the hierarchy in WebAudioXML.
For detailed information, please read the comments in the code: audio.xml
WebAudioXML is a PhD research project invented and maintained by Hans Lindetorp. For more info, turorials, documentation and download links, please visit https://github.com/hanslindetorp/WebAudioXML


BVPIEEE
Who are we?
BVPIEEE is the student branch of IEEE at Bharati Vidyapeeth’s College of Engineering, since its inception has aimed at promoting IEEE among students, as a common platform to share their technical expertise and to learn and grow in the process.


This app was made using
Cytoscape.js
.
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PE man stabbed to death, alleged murderer's burnt body found hours later
by Riaan GroblerThe body of man who is believed to have stabbed a man to death in a shack in Kuyga near Port Elizabeth was found burnt hours later on Wednesday night.
According to police spokesperson Warrant Officer Alwin Labans, it is alleged that, at about 20:30, the victim, Sakuthwani Tyaliti, 34, and his girlfriend were inside their shack at the back of the main house in Kuyga when the suspect, 34, kicked open the door of the shack.
READ | Man close to murdered Clanwilliam teacher arrested
"Tyaliti went to the door and an argument ensued. The suspect took out a knife and stabbed the victim in the chest and he died on the scene. The girlfriend ran out of the shack to get help," Labans said.
The suspect ran away and, at about 23:30, his burnt body was found by community members who alerted police. His body was found in the same area in Chiamera and Flathead Streets. His next of kin is yet to be informed.
"The SAPS Kabega Park is urgently seeking the community's assistance," Labans said.
Any information can be communicated to SAPS Kabega Park detectives at<PHONE_NUMBER>.
All information will be strictly confidential.


Before Change
self.target_fields = [k for k, v in dataset.fields.items() if
v is not None and v.is_target]
for (name, field) in dataset.fields.items():
if field is not None:
batch = [getattr(x, name) for x in data]
setattr(self, name, field.process(batch, device=device))
@classmethod
def fromvars(cls, dataset, batch_size, train=None, **kwargs):
Create a Batch directly from a number of Variables.
batch = cls()
After Change
warnings.warn("{} class has ".format(self.__class__.__name__) +
"been retired and moved to torchtext.legacy. Please " +
"import from torchtext.legacy.data if you still want it.", UserWarning)
raise ImportWarning


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