| setOldClass {methods} | R Documentation |
Register an old-style (a.k.a. ‘S3’) class as a formally defined class. Simple usage will be of the form:
setOldClass(Classes)
where Classes
is the character vector that would be the
class
attribute of the S3 object. Calls to
setOldClass()
in the code for a package
allow the class to be used as a slot in formal (S4) classes and in
signatures for methods (see Methods_for_S3).
Formal classes can also contain a registered S3 class (see
S3Part for details).
If the S3 class has a known set of attributes, an
equivalent S4 class can be specified by S4Class=
in the call to
setOldClass()
; see the section “Known Attributes”.
setOldClass(Classes, prototype, where, test = FALSE, S4Class)
Classes |
A character vector, giving the names for S3
classes, as they would appear on the right side of an assignment of
the In addition to S3 classes, an object type or other valid data part can be specified, if the S3 class is known to require its data to be of that form. |
S4Class |
optionally, the class definition or the class name
of an S4 class. The new class will have all the slots and other
properties of this class, plus any S3 inheritance implied by
multiple names in the |
prototype, where, test |
These arguments are currently allowed, but not recommended in typical applications.
|
The name (or each of the names) in Classes
will be defined as an S4 class, extending class oldClass
,
which is the ‘root’ of all old-style classes. S3 classes
with multiple names in their class attribute will have a
corresponding inheritance as formal classes. See the "mlm"
example.
S3 classes have
no formal definition, and therefore no formally defined slots.
If no S4 class is supplied as a model, the class created will be a
virtual class.
If a virtual class (any virtual class) is used for a slot in another class, then the
initializing method for the class needs to put something legal in
that slot; otherwise it will be set to NULL
.
See Methods_for_S3 for the details of method dispatch and inheritance with mixed S3 and S4 methods.
Some S3 classes cannot be represented as an ordinary combination of S4
classes and superclasses, because objects with the same initial
string in the class attribute can have different strings following.
Such classes are fortunately rare. They violate the basic idea of
object-oriented programming and should be avoided.
If you must deal with them, it is still possible to register
such classes as S4 classes, but now the inheritance has to be verified
for each object, and you must call setOldClass
with argument
test=TRUE
.
Many of the widely used S3 classes in the standard R distribution come pre-defined for use with S4. These don't need to be explicitly declared in your package (although it does no harm to do so).
The list .OldClassesList
contains the old-style classes that
are defined by the methods package. Each element of the list is a
character vector, with multiple strings if inheritance is included.
Each element of the list was passed to setOldClass
when
creating the methods package; therefore, these classes can be used
in setMethod
calls, with the inheritance as implied by
the list.
A further specification of an S3 class can be made if the class is guaranteed to have some attributes of known class (where as with slots, “known” means that the attribute is an object of a specified class, or a subclass of that class).
In this case, the call to setOldClass()
can supply an S4 class
definition representing the known structure. Since S4 slots are
implemented as attributes (largely for just this reason), the known
attributes can be specified in the representation of the S4 class.
The usual technique will be to create an S4 class with the desired
structure, and then supply the class name or definition as the
argument S4Class=
to setOldClass()
.
See the definition of class "ts"
in the examples below and
the data.frame
example in Section 10.2 of the reference.
The call to setClass
to create the S4 class can use the same
class name, as here, so long as the call to setOldClass
follows in the same package. For clarity it should be the next
expression in the same file.
In the example, we define "ts"
as a vector structure with a
numeric slot for "tsp"
. The validity of this definition relies
on an assertion that all the S3 code for this class is consistent with
that definition; specifically, that all "ts"
objects will
behave as vector structures and will have a numeric "tsp"
attribute. We believe this to be true of all the base code in R, but
as always with S3 classes, no guarantee is possible.
The S4 class definition can have virtual superclasses (as in
the "ts"
case) if the S3 class is asserted to behave
consistently with these (in the example, time-series objects are
asserted to be consistent with the structure class).
Failures of the S3 class to live up to its asserted
behavior will usually go uncorrected, since S3 classes inherently
have no definition, and the resulting invalid S4 objects can cause
all sorts of grief. Many S3 classes are not candidates for known
slots, either because the presence or class of the attributes are
not guaranteed (e.g., dimnames
in arrays, although these are
not even S3 classes), or because the class uses named components of
a list rather than attributes (e.g., "lm"
). An attribute
that is sometimes missing cannot be represented as a slot, not even
by pretending that it is present with class "NULL"
, because
attributes, unlike slots, can not have value NULL
.
One irregularity that is usually tolerated, however, is to optionally
add other attributes to those guaranteed to exist (for example,
"terms"
in "data.frame"
objects returned by
model.frame
). Validity checks by
validObject
ignore extra attributes; even if this check
is tightened in the future, classes extending S3 classes would likely
be exempted because extra attributes are so common.
Chambers, John M. (2016) Extending R, Chapman & Hall. (Chapters 9 and 10, particularly Section 10.8)
require(stats) ## "lm" and "mlm" are predefined; if they were not this would do it: ## Not run: setOldClass(c("mlm", "lm")) ## End(Not run) ## Define a new generic function to compute the residual degrees of freedom setGeneric("dfResidual", function(model) stop(gettextf( "This function only works for fitted model objects, not class %s", class(model)))) setMethod("dfResidual", "lm", function(model)model$df.residual) ## dfResidual will work on mlm objects as well as lm objects myData <- data.frame(time = 1:10, y = (1:10)^.5) myLm <- lm(cbind(y, y^3) ~ time, myData) ## two examples extending S3 class "lm": class "xlm" directly ## and "ylm" indirectly setClass("xlm", slots = c(eps = "numeric"), contains = "lm") setClass("ylm", slots = c(header = "character"), contains = "xlm") ym1 = new("ylm", myLm, header = "Example", eps = 0.) ## for more examples, see ?\link{S3Class}. ## Not run: ## The code in R that defines "ts" as an S4 class setClass("ts", contains = "structure", slots = c(tsp = "numeric"), prototype(NA, tsp = rep(1,3))) # prototype to be a legal S3 time-series ## and now registers it as an S3 class setOldClass("ts", S4Class = "ts", where = envir) ## End(Not run)


 They're probably bad questions
— Max Lynch (@maxlynch) February 24, 2016
My computer science professor in college had all of his TAs take the exams in half the allotted time.
— Valerie @ Brighton Ruby (@valeriecodes) April 11, 2018
If the didn't get 100% he changed the questions.
There's a lesson there for tech interviews.
"The only way to get senior engineers reliably is to grow them" #phillyete
— Matt Brophy (@brophdawg11) April 11, 2016
1. Hire awesome people.
— David Neal 🥓🥑 (@reverentgeek) June 14, 2018
2. Teach them your stack.
It boggles my mind when I hear of companies that dismiss amazing candidates because they don’t have an exact recipe of knowledge and experience.
Your team is an immutable data structure. Every time you modify it, you're actually making a whole new one.
— Sarah Mei (@sarahmei) October 21, 2016
Culture defined at #phillyete pic.twitter.com/Ej6kfLrsJX
— Martin Snyder (@MartinSnyder) April 11, 2016
Velocity is a lagging indicator of team health. Team joy is a leading indicator of quality and velocity. @DocOnDev #AgileMetrics #PhillyETE
— Audrey Troutt (@auditty) April 12, 2016
Happy Birthday to President Harry Truman who said: "It is amazing what you can accomplish if you do not care who gets the credit" Onward.
— Matthew Dowd (@matthewjdowd) May 8, 2017
"We simply ask that you be innovative without mistakes while working as a team to achieve individual performance goals." ~@DocOnDev
— Woody Zuill (@WoodyZuill) May 7, 2017
"‘‘As long as everyone got a chance to talk, the team did well’’https://t.co/QlCTf1nCiO
— Martin Snyder (@MartinSnyder) June 15, 2018
You can passively consume hundreds of articles and podcasts and learn far less than shipping one side project a year.
— Ben Orenstein (@r00k) August 30, 2017
— lizandmollie (@lizandmollie) February 14, 2021
From an internal discussion, apparently derived from Peter Drucker: "Leaders focus on doing the right thing, managers focus on doing things right" That is going to stick with me.
— John Carmack (@ID_AA_Carmack) November 3, 2020
“Don’t cling to a mistake just because you spent a lot of time making it.”
— Halima 🧞♀ (@imdatfeminist) December 6, 2019
― Aubrey de Grey
One thing my father always told me about being a manager is that if you're seen as a "boss" then you've failed. If you're doing it right, you're a colleague with a different specialization.
— Rebecca Turner (@ReBeccaOrg) April 12, 2019
Just finished reading "The five dysfunctions of a team". Such an insightful read!
— Gurpreet (@_zenx_) August 3, 2018
"If you could get all the people in an organisation rowing in the same direction, you could dominate any industry, in any market, against any competition, at any time". #teams #management pic.twitter.com/XdeSvfnDJ3
If you have to tell people something is mandatory, it's because you haven't convinced them that it's valuable.
— Erik Dietrich (@daedtech) August 4, 2017
"Every job looks easy when you’re not the one doing it” is one of my favorite new quotes.
— Morgan Housel (@morganhousel) July 14, 2017
Got my two copies of 'The Mythical man-month', ready for any PM who wants to read it twice as fast. pic.twitter.com/ptbRGFecf8
— Joseph Cooney (@josephcooney) September 16, 2016
Org 1 has a 10:1 eng manager to engineer ratio. Adding 1 more eng would be “no problem, could add 2-3”.
— John Cutler (@johncutlefish) May 1, 2020
Org 2 has a 5:1 eng manager to engineer ratio. Adding 1 more engineer would “be overwhelming”.
Equally skilled. Similar domain/context.
First one or two guesses at why?
what to talk about in 1:1s
— 🔎Julia Evans🔍 (@b0rk) August 30, 2020
(permalink: https://t.co/BzuyBWgG1s) pic.twitter.com/nUzBRphu1b
...or it will happen. pic.twitter.com/kyh9c5aAV1
— John Cutler (@johncutlefish) February 12, 2021
This morning I saw @Dixie3Flatline's tweet about how you can dislike a tool without writing a mean blog post.
— Chelsea Troy (@HeyChelseaTroy) May 8, 2021
I remembered a conversation with @KentBeck about critique: art students explicitly learn to critique the work of others. Engineers...don't, and it shows.
What do?
/1
"Don't take criticism from someone you wouldn't take advice from."
— 🧁🍨 Mark Dalgleish (@markdalgleish) May 10, 2021
This one helps a lot.
I’ve interviewed and managed over 2,000 people.
— Michael Girdley (@girdley) November 26, 2021
Here are my 55 contrarian observations about humans.
A thread...
(1/x)
As a manager, the more tactical decisions you make, the less competent your employees will appear to you.
— Doc Norton (@DocOnDev) October 13, 2022
#leadership
It’s highly doubtful that you’re an agile organization if every team in your company is using the same process. “Self-organizing teams,” are essential to agility, and if you’re told what to do and how to do it, you’re hardly self organizing.
— Allen Holub (@allenholub) July 22, 2018
This feels like going faster
— John Cutler (@johncutlefish) August 15, 2018
Vs.
This actually makes us faster#lean #prodmgmt #quality #agile #devops pic.twitter.com/nq8yT0Txz8
"How do we scale up our software practices?" The same way you scale up anything. By relinquishing control.
— jasongorman (@jasongorman) July 7, 2017
The fastest way to raise your level of performance:
— James Clear (@JamesClear) October 6, 2019
Cut your number of commitments in half.
I've written this before, but it bears repeating as it's the single most common piece of software engineering leadership advice I end up giving: Don't have people working by themselves, if it's worth doing it's worth having more than one person on it.
— kellan (@kellan) May 16, 2021
I'm always inspired by @ejames_c.
— John Cutler (@johncutlefish) October 10, 2021
He is always learning/doing in public, and writing about learning/doing. And brings you along for the ride.https://t.co/OCsjZiQspf
From one of our CEOs - an explainer of why change management often goes sideways. pic.twitter.com/QgKBBCQVRU
— Mark Brooks (@markbrooks) September 23, 2022
"A complex system that works always evolves from a simple system that works. A complex system designed from scratch never works." Gall's law
— Rob Kalin (@rokali) October 9, 2010
this database has a Scar Schema. deep, ancient wounds that never healed properly
— Jimmy Bogard 🍻 (@jbogard) May 3, 2017
"We build our computer (systems) the way we build our cities: over time, without a plan, on top of ruins." - Ellen Ullman
— Programming Wisdom (@CodeWisdom) July 4, 2017
"The sooner you start to code, the longer the program will take." - Roy Carlson
— Programming Wisdom (@CodeWisdom) October 18, 2018
"computers will not live up to their potential until we start to think of them less like televisions and more like paintbrushes" @mres pic.twitter.com/jyn2h2TGw7
— Rachel Thomas (@math_rachel) August 25, 2017
The Conjoined Triangles of Senior-Level Development https://t.co/6rDNYfHyqN pic.twitter.com/EMqSADspK9
— Pam Selle (@pamasaur) July 16, 2016
The problem with software development: pic.twitter.com/DzvPkB91e1
— John Ferguson Smart (@wakaleo) April 19, 2017
√ @viktorklang's Conjecture:
— brendan mcadams (@rit) October 12, 2016
“If you cannot solve a problem without programming, you cannot solve a problem with programming."
"The time saved by automation is the least value - it also documents how a thing is done" @jessitron #PhillyETE
— Tim "Agile Otter" Ottinger (@tottinge) April 18, 2017
"The type String should only ever appear in your program when a value is being shown to a human being"
— Mario Fusco 🇪🇺 (@mariofusco) June 10, 2017
- @nuttycom
"Any code of your own that you haven't looked at for six or more months might as well have been written by someone else." - Eagleson's law
— Programming Wisdom (@CodeWisdom) June 23, 2018
"A common fallacy is to assume authors of incomprehensible code will be able to express themselves clearly in comments." - @KevlinHenney
— Rich Rogers (@RichRogersIoT) April 19, 2017
If you don't think managing state is tricky, consider the fact that 80% of all problems in all complex systems are fixed by rebooting.
— stuarthalloway (@stuarthalloway) June 1, 2019
— Javi Velasco (@javivelasco) July 31, 2018
There are only three optimizations: Do less. Do it less often. Do it faster.
— M. J. Fromberger (@creachadair) September 11, 2018
The largest gains come from 1, but we spend all our time on 3.
“We need to know when this will done!”
— John Cutler (@johncutlefish) December 18, 2020
Me: what are you willing to exchange for that certainty?
I was keynoting at @droidconbos but also got rejected by an Android conf happening in the same month. Often you only hear the acceptances. pic.twitter.com/UXzat1xsJJ
— Chiu-Ki Chan (@chiuki) April 20, 2017
Thank you @jwwweber and all the speakers and organizers for a great #EmberCamp!! pic.twitter.com/o0bKsKIcf8
— Godfrey Chan (@chancancode) September 21, 2018
Okay. For every retweet this gets (TO A POINT!) I'll add a thought / tip / observation about speaking at conferences.
— Corey Quinn (@QuinnyPig) January 10, 2020
How to park. Geometry. https://t.co/EziMwgS83B pic.twitter.com/a5sHZUswnI
— Cliff Pickover (@pickover) November 26, 2016
After the invention of the bicycle, the average distance between birthplaces of spouses in England increased from one mile to 30 miles.
— Quite Interesting (@qikipedia) February 14, 2017
honestly robotic cranes stacking and unstacking useless concrete weights for all eternity is the surreal dieselpunk energy storage solution earth deserves https://t.co/4F4fDyWVg0
— crust lovers, this entree was made for you (@vogon) August 20, 2018
How the tracks of all known hurricanes show that they have never crossed the equator due to the Coriolis force https://t.co/D5r5vAC21c pic.twitter.com/l0mjjQ34cT
— Massimo (@Rainmaker1973) August 27, 2019
This is def my fave Hacker News post: "Name one idea that changed your life".
— Trung Phan 🇨🇦 (@TrungTPhan) October 3, 2021
Here are 11 gold answers 🧵
Imagine a system where a man gives you a chuck-e-cheese token every hour you let your car idle. Realize that system exists and it's bitcoin
— Krinkle (@Krinkle8) February 28, 2014
by today's definition, y=mx+b is an artificial intelligence bot that can tell you where a line is going
— Amy Hoy 🌵 (@amyhoy) March 29, 2017
The S in the IoT stands for Security.
— Oleg Šelajev (@shelajev) November 10, 2016
How to play: before leaving any office, write a load of absurd bollocks on the whiteboard for the next lot to puzzle at. #SillyWhiteboards pic.twitter.com/iEaytmfZla
— Jason Hazeley (@JasonHazeley) March 15, 2017
We did an experiment: For two weeks we switched names. I signed all client emails as Nicole. She signed as me.
— your friend, Marty Schneider (@SchneidRemarks) March 9, 2017
Folks.

— Lin Clark (@linclark) December 10, 2017
This comment is on my Quantum article, the 20th most upvoted post on Hacker News of all time pic.twitter.com/nCa5WB10Id
There’s a debate on whether 10x software engineers exist.
— Gergely Orosz (@GergelyOrosz) October 9, 2021
They do: I’ve seen several of them.
And their existence freaks the hell out of me. 5 examples of 10x engineers and why you should be afraid when you see one:
In response to narrowly spread demand, here are my Rules of Twitter. Note that each was learned by violating it repeatedly over the years, so don't bother going back in my feed to find contradictions... trust me, I know. pic.twitter.com/QtzhBkx9LP
— Peter Sagal (@petersagal) October 25, 2021
Totally agree. Sure, hard work, prepare, etc, but LUCK. Luck 100% played a part in my success.
— Scott Hanselman (@shanselman) February 27, 2019
Here's the thing though. Now that I have some success, *I'm* gonna *BE THE LUCK* for as many people as I can. That means RT's, warm intros, job referrals, hey you should talk to, etc. https://t.co/udw0mzfFpi


A key feature of Varnish is its ability to shield you from misbehaving web- and application servers.
When several clients are requesting the same page Varnish will send one request to the backend and place the others on hold while fetching one copy from the back end. In some products this is called request coalescing and Varnish does this automatically.
If you are serving thousands of hits per second the queue of waiting requests can get huge. There are two potential problems - one is a thundering herd problem - suddenly releasing a thousand threads to serve content might send the load sky high. Secondly - nobody likes to wait. To deal with this we can instruct Varnish to keep the objects in cache beyond their TTL and to serve the waiting requests somewhat stale content.
So, in order to serve stale content we must first have some content to serve. So to make Varnish keep all objects for 30 minutes beyond their TTL use the following VCL:
sub vcl_fetch {
set beresp.grace = 30m;
}
Varnish still won't serve the stale objects. In order to enable Varnish to actually serve the stale object we must enable this on the request. Lets us say that we accept serving 15s old object.:
sub vcl_recv {
set req.grace = 15s;
}
You might wonder why we should keep the objects in the cache for 30 minutes if we are unable to serve them? Well, if you have enabled Health checks you can check if the backend is sick and if it is we can serve the stale content for a bit longer.:
if (! req.backend.healthy) {
set req.grace = 5m;
} else {
set req.grace = 15s;
}
Sometimes servers get flaky. They start throwing out random errors. You can instruct Varnish to try to handle this in a more-than-graceful way - enter Saint mode. Saint mode enables you to discard a certain page from one backend server and either try another server or serve stale content from cache. Lets have a look at how this can be enabled in VCL:
sub vcl_fetch {
if (beresp.status == 500) {
set beresp.saintmode = 10s;
return(restart);
}
set beresp.grace = 5m;
}
When we set beresp.saintmode to 10 seconds Varnish will not ask that server for URL for 10 seconds. A blacklist, more or less. Also a restart is performed so if you have other backends capable of serving that content Varnish will try those. When you are out of backends Varnish will serve the content from its stale cache.
This can really be a life saver.
If your request fails while it is being fetched you're thrown into vcl_error. vcl_error has access to a rather limited set of data so you can't enable saint mode or grace mode here. This will be addressed in a future release but a work-around available.
Not implemented yet. :-)


"Crash"
Rating: ***1/2 ( out of **** )
By Fernando Vallejo
Starring James Spader, Holly Hunter, Elias Koteas, Deborah Kara-Unger, Rosanna Arquette. Produced, written and directed by David Cronenberg. Running Time: 110 mins. Rated NC-17. ______________________________________________________
Few movies transcend high expectations and cross the line between a movie and an experience. In 1996, "Breaking the Waves" and "Fargo" rose above any other features and became experiences. David Cronenberg's "Crash" outstrips any genre formality and ascends into an unforgettable decaying of urban civilization that only dreams or nightmares can match its jolts. You may or may not like it, but it is a complete vision.
"Crash" has a poetic, nihilistic rythm in its car wrecks and crashes and it automatically transforms into the rudimentary theme that technology is more and more dictating on the fate of our lives and the destiny of mankind. The sadomasochistic pleasure generated by the characters' obsessions with ruptured metal is the disguise used by Cronenberg this time, who really accomplishes his most important work to date.
Based on J.G Ballard's 1973 novel, "Crash" tells the incommode life of director James Ballard ( James Spader ) after a horrible car crash, which kills th husband of Dr. Helen Remington ( Holly Hunter ). The two wind up in the same hospital and puzzingly become erotically charged by an unexplainable attraction that's linking them: the car crash.  Joining them in this almost surreal journey is Cronenberg's most memorable character to date, Vaughan ( Elias Koteas ) who worships all sorts of bloody crashes and the re-shaping of the human body through wounds and scars. He even keeps a portfolio with gruesome pictures of devastated people right after accidents. Gradually, Ballard and his wife Catherine ( Deborah Kara Unger ) become involved in this disproportionate world of pleasure, domination and survival.
Cronenberg's past work consisted of artsy-fartsy duds which were coated by hisscience-fictional, unexquisite grotesqueries , but in "Crash" Cronenberg concocts a revolutionary modification of the concept man vs technology, in a deadly collision course that demonstrates the evolution of an artist when presented with a pragmatic theory about the future. He has cleverly fumigated these characters from social exposition and confronting our senses with a group of people and not an entire society, because in a morbid manner, they are representing th aberration of our world which will not be the same, no matter what. The honesty of the protagonists is not a facade of vague personification but a crude reality of how to understand the future ahead of us, beacuse in "Crash" even at the most explicit, shifting sex traingles there is no major conflict the characters are face with. The conflict is humans approaching a new era.
It can also be said "Crash" contains human beings devoid of background, personalities or opinions but just like Kubrick's "2001" and Ridley Scott's "Blade Runner," "Crash" symbolizes a mechanical community in a fight with themselves , their own progressing minds which in essence, are auto- destructing us. Machines take over man.
The sex is unlike any other we have recently seen, conducted mostly in cars, dangerously erotic and brilliantly executed, devoid of any feelings, and there is no moment in "Crash" where the sex is juxtapositioned away from the unexplained phenomenon of getting turned on by metal. When James and Helen forst glance at each other after the deadly accident, it marks the beginning of a civilized, urban post apocalyptic phantasmagoria vitalized by adrenaline rushing moments.
The people are brave to face their wicked temptations which at first, seem unexplicable, and when Vaughan is introduced their pleasure is given another cryptic element :can technology change the shape of humans ? can technology abolish the evolution of men ?. Vaughan is a man with ideas and they are all experiencing this vacuum of studies and questions with a desire to sexually benefit from these arguments as well as exploring new scientific grounds.
Disguising a universal theme with crude sex is not only appropiate, it is necessary. "Crash" unabashedly emphasizes that relationships, love and cherishing for other human beings are missing in today's microchip age, and again drawing a comparison to "Blade Runner" its proclaiming a bleak, lifeless unfolding world ahead of us. "Crash" is set in the present, it doesn't rely on astonishing sets, art direction or extravagant effects, its heart lies on the thematic components, the direction, the coldness and the coldness of the actors.
The ensemble cast is excellent , Spader, whose expresionless face is letter-perfect for the character and adds to the gloomy tone , but Elias Koteas is deliciously malignant as the morbid Vaughan .
J. G Ballard wrote "Crash" in the early 70's , but twenty four years later it is the quintissential " controversy " movie. Division towards the film will certainly have very wide divisions: either one is captivated or is tremendously aggravated. Ted Turner, President of Fine Line Pictures has criticised "Crash" for being preposterous, as well as some top critics. The combo of flesh and metal may have gotten to them, but with sumptous orgasm- fests it was deservedly rewarded an NC-17 rating. I suppose these people were turned off by the constant sadomasochism.
Time is the only response as to wether "Crash" will rank among " Metropolis", "Runner" and "A Clockwork Orange" in their dedication to express the deterioration of mankind.  Thanks to J.G Ballard , David Cronenberg has finally given us a dazzling piece of filmmaking to discuss and share our opinions.
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


Form
Form Name:
Form handler script
Action URL:
Method:
Post
Get
Encoding:
HTML-Form to CGI (default)
multipart Form Data (File-Upload)
Target Frame:
OK
Cancel


Location
Café Vincze3300 University Blvd.
Winter Park, FL 32792
(407) 679-0100
(888) 226-7625
From the North:
- Head South on I-4 W.
- Take exit 87 for Fairbanks Ave.
- Keep left at the fork, follow signs for Winter Park/FL-426 E.
- Turn left at W Fairbanks Ave.
- Continue onto Osceola Ave.
- Continue onto Brewer Ave.
- Brewer Ave turns slightly right and becomes Aloma Ave/FL-426 E.
- Turn right at FL-436 E/Semoran Blvd.
- Turn left at University Blvd, we will be on the right.
From the South:
- Head Northeast on I-4 W.
- Take exit 85 for Princeton St.
- Turn right at E Princeton St.
- Turn left at N Orange Ave.
- Continue onto W Fairbanks Ave.
- Continue onto Osceola Ave.
- Continue onto Brewer Ave.
- Brewer Ave turns slightly right and becomes Aloma Ave/FL-426 E.
- Turn right at FL-436 E/Semoran Blvd.
- Turn left at University Blvd, we will be on the right.


Howdy, Modi! Priyanka Gandhi Vadra attacks PM on increase in rejection for H1-B Visas for Indians
by JKR StaffCongress General Secretary Priyanka Gandhi Vadra has lashed out at Prime Minister Narendra Modi for the increase in the rejection of H1-B Visas for Indians in the US. This was after a US think-tank said that Donald Trump’s restrictive policies on immigration have led to the denials of applications for H1-B Visas by Indians.
Taking to Twitter, Priyanka wrote in Hindi, “Everyone should ask the BJP government as to who’s being helped under its regime. Prime Minister travelled to America for his own ‘Howdy, Modi’ but America increased the number of rejections the H1-B Visas for Indians, willing to work there.”
PM Modi had travelled to the US to attend his much-publicised ‘Howdy, Modi’ event in September this year. The event was billed as Modi’s success to build a new friendly relationship with the US administration headed by President Donald Trump. Modi’s ‘Abki Baar Trump Sarkar’ at the ‘Howdy, Modi’ event in the presence of the US President had triggered a huge controversy.
A report by news agency PTI said that the denial rate of H-1B petitions for initial employment for Amazon, Microsoft, Intel and Google in 2015 was just 1%. In 2019, the same increased respectively to 6, 8, 7 and 3%. The denial rate for Apple remained the same at 2%.
During the same period, the denial rate jumped from 4% to 41% for Tech Mahindra, from 6% to 34% for Tata Consultancy Services, from 7% to 53% for Wipro and from just 2% to 45% for Infosys.


#assign querytypesafe = "true">
Ebean provides a mechanism for building type safe queries by generating query beans
.
The design/approach taken for the query beans
and type safe query construction is orientated
for maximum readability and to achieve that with Java (which does not have properties support) has meant
that we need to use AOP to enhance the query beans
. The AOP enhancement can be done via:
IntelliJ IDEA Plugin
- Ideal for use during developmentjavaagent
- 'Ok' during development, Good for production deploymentmaven plugin
- Good for production deployment
The recommendation is that during development the IntelliJ IDEA Plugin
is used as that is
just very easy to use relative to specifying a javaagent
when running tests etc.
For deployment/production you can use the javaagent
or maven plugin
.
When entity bean model changes the query beans are regenerated. If there are queries that are broken by a model change then this results in a compile error (rather than a runtime error) and so breaking model changes are detected easily and early.
Using query beans means that the bind values used for any given property must be compatible with the properties type. For example, you can bind a String value for a property that has type Timestamp.
Using query beans means we can use IDE auto completion to help write our queries. There is no need to check the model when we build our queries. This makes development a little bit faster, safer and fun!!
When applications get bigger and older using strongly type query beans makes maintenance easier as it helps guide new developers who are less familiar with the model and model changes across large applications are much less risky due to compile type checking relative to string based queries.
The following example contains an or()
containing a nested and()
.
filterMany provides the ability to filter the returned objects of an associated OneToMany or ManyToMany relationship.
For example, lets say Customers have a lot of orders and for a specific use case we want to find customers and only want their recent new orders. We want to fetch the orders (a OneToMany) for the customers but want to filter those orders to only contain 'recent new orders'
```java Date oneWeekAgo = ... // Use QOrder to create an expression list ... // .. use this expression list to then filter orders ExpressionList
Use the alias()
method to get a shared instance of the query bean
that can be used to specify properties for select()
and fetch()
.
Note that the 'alias' instance of the query bean returned by the alias()
method
does not have an underlying query associated with it and can only be used to provide properties
to select()
and fetch()
.
Query bean generator is a Java annotation processor so you add it as a dependency and then javac will automatically register it and whenever a entity is compiled the associated query beans are generated.
If the dependency is added with provided
scope then the generator itself will not
be included in the final build artifact.
We need to add ebean-querybean
as a dependency. This provides the property
types for the generated query beans
.
The query beans
have been designed so for maximum readability of the query code. That is,
some type safe query mechanisms achieve the type safety goal but in doing so result in query code that
is virtually unreadable and we specifically want to avoid that issue.
Ebean's type safe query mechanism results in very readable queries with the downside that it requires
a bit of AOP to enhance query beans
and simulate properties. If the target JVM language
supported properties then we would not need to use AOP but Java does not have proper properties support
so we are using AOP instead.
The AOP enhancement is easy to incorporate with an IDE plugin available for IntelliJ IDEA (and planned for Eclipse) as well as the standard javaagent and maven plugin for load time and compile time enhancement.
In IntelliJ install the Ebean ORM Query bean enhancer
plugin. It should then appear as an
extra item on the Build menu
where it can be toggled on and off.
Ebean supplies a maven tile that brings in both the enhancer for entity beans as well as the enhancement for query beans. This is simpler, cleaner less verbose than defining the plugin in the traditional (non-tile) fashion and now the preferred approach.
Use mvn help:effective-pom
to view the plugins that the tile brings in.
You use the querybean-agent
if you want to use the standard javaagent
mechanism to enhance the query beans
.
Once the dependency to querybean-generator is added the query beans will be generated automatically whenever javac compile occurs.
There is a mechanism to generate query beans via running code (not via javac annotation processing). This is manual in the sense that whenever there is a change to the entity beans we then need to re-run this process (where as with the java annotation processor it is automatically updated with each compile).
<@maven "io.ebean.tools" "finder-generator" "auto" "4" />
To generate the query beans
add code similar to below to your src/test
.
The Generator reads compiled .class
entity beans using the ASM
library.
It then uses this meta data to generate java source for the query beans
.
Using this approach rather than using javac
annotation processing means there is
no requirement for javac - you can use any JVM language to write/compile your
entity beans (so maybe Scala
and SBT.
The requirement of this approach is that entity beans are compiled as .class files and that
GeneratorConfig
is configured to know where the classes are, where the source
code should go and the package containing the entity beans.
For each entity bean a query bean
is generated.
select()
and fetch()
*/
public static QOrder alias() {
return _alias;
}
public PLong
Along with query beans
you'll see another set of generated beans that look very similar
to query beans in a assoc
sub-package - these are association query beans
and represent beans when they are associated by OneToMany, ManyToOne, OneToOne and ManyToOne or are
Embedded.
When beans are associated/related they have slightly different expressions like fetch()
,
filterMany()
and equalTo()
and need different internals to work as expected.
They look a little redundant but they aren't (in order to get a nice representation of the query language
features).


| What |
The dataset we have here is a simple table, with 5 (used) columns and 55 rows. The attributes type here is numerical, the calorie intake by day has a specific numeric value. The data is taken from Christina's personal food tracker, FatSecret.
|
| Why |
The visual task to perform here is to demonstrate the trend of calorie intake over the course of two months, to track fitness and nutrition performance. The right chart demonstrates the trends for macronutrients: carbs, fat, and protein for the same duration.
|
| How |
The calories chart (left) consists of mainly a brown line chart to demonstrate the trend over time. The dots at each point signifies each data point, or the calorie intake amount for that day.
|
| Insight 1 |
There seems to be a trend based on the line graph. We see that it highly fluctuates, something we don't necessarily want when viewing our nutrition intake. It seems that there is much more fluctuation as we move more right on the x-axis, or later as time goes on. This could signify that Christina is falling out of her nutrition plan and confirm the research that women typically give up on diets after an average of five weeks.
|
| Insight 2 |
There seems to be a trend weekly, which is illuminated by the fluctuations. Weekends tend to have less calories noted, which is where we see the downward slope. However, this may not be actually true and could just be that the user is not as regimented in tracking her nutrition while out with friends/family over the weekends. In fact, it could be highly underestimating calorie intake on the weekends as most typically eat more on the weekends during celebrations/outings.
|
| Interaction (left) |
Tooltip to show date and exact caloric intake for the date hovered.
|
| Interaction (right) |
Hover line to show labels for all values: carbs, fat, and protein.
|


Updated May 2, 2014
Updated March 1, 2014
Updated August 30, 2012
Updated July 1, 2014
Updated January 20, 2010
To view the Owner's Manual you may use Adobe Acrobat Reader software. Click here to download. Updated March 1, 2014


Free SVG icons for popular brandsGot a pretty great list here :Getting Notes from HTTP REST:
Popout form to add user. step 1 a simple form.
Current Branch: FORM Popping out to add User.
Navigate thru tabs
* Material Animation
* Material Table
* Material List favorite
HeartBeating
move_to_inbox
Animation Feedback
list
List
src/app/x/xmylist/xmylist.component.html


Required fields cannot be left blank
Required fields cannot be left blank
Required fields cannot be left blank
Required fields cannot be left blank
Required fields cannot be left blank
Required fields cannot be left blank
CitationScribe is open source under the MIT license. Code available onGithub


Ryan Giggs has silenced doubters with Euro 2020 qualification, says Joe Allen
The Manchester United great succeeded Chris Coleman in January 2018.
Joe Allen believes Ryan Giggs has made his critics “eat their words” after leading Wales to Euro 2020.
Giggs was not a universally popular choice to succeed Chris Coleman – who led Wales to the semi-finals of Euro 2016 – in January 2018, with large sections of the fan base unhappy at his appointment.
The Manchester United great upset Wales supporters during his celebrated playing career by regularly failing to turn up for international duty.
The 45-year-old also came in for heavy criticism over selection and tactics during Wales’ summer setback in Croatia and Hungary, defeats which left Euro 2020 qualification hopes hanging in the balance.
But Wales took eight points from their final four qualifiers, with Tuesday’s 2-0 home win over Hungary sealing their second successive appearance at the Euros, and third in all at major tournaments.
“He’d had stick. But he has delivered, simple as that,” Allen said of Giggs.
“He came in off the back of a great manager who had huge success, and it was always going to be tough.
“That is one of the big reasons we have made it. He has done the job – the ambition and target was to get to the Euros.
“Any way you get there is huge success, and I think a lot of people are going to have to eat their words.”
Allen, alongside the likes of Gareth Bale and Aaron Ramsey, is among the survivors of the side who reached the last four in France in 2016.
We didn't want to be a flash in the pan, a one-hit wonder if you likeJoe Allen
The 29-year-old, who fell just short with Wales in their 2018 World Cup qualifying bid, has played a crucial role in the current campaign, not only through his own performances but also helping the development of young midfielders Ethan Ampadu, Joe Morrell and Matthew Smith.
“We didn’t want to be a flash in the pan, a one-hit wonder if you like,” Allen said.
“That World Cup disappointment has spurred on a lot of people. A lot of us are getting older and we realise how precious these chances are.
“The players who have done it before were motivated to get there again and we’ve banged on to the young lads how good it was.
Wales will head to Euro 2020 with arguably a more talented squad than they had in France.
Ampadu, Daniel James, Harry Wilson, Joe Rodon and Chris Mepham have all broken into the squad since Euro 2016.
Bournemouth’s exciting forward David Brooks, the current Welsh Footballer of the Year, will also be back soon after missing most of the Euro 2020 qualifying campaign following ankle surgery.
“It (qualifying) is different in many ways but just as good,” Allen said.
“To do it for the first time was special, but on the back of missing out on the World Cup we’re thrilled to go back to the Euros.
“The danger is we did so well last time that the expectation and the bar is going to be raised.
“We’ve found that in qualifying since France. Teams have made it much more difficult for us and I don’t think we’ll be so much of a surprise package at this Euros for other teams.
“But we’ve got players that can hurt any team.


Module: Octokit::Client::Gists
| Relationships & Source Files | |
| Extension / Inclusion / Inheritance Descendants | |
|
Included In:
| |
| Defined in: | lib/octokit/client/gists.rb |
Overview
Methods for the Gists
API
Instance Method Summary
-
#create_gist(options = {}) ⇒ Sawyer::Resource
Create a gist.
-
#create_gist_comment(gist_id, comment, options = {}) ⇒ Sawyer::Resource
Create gist comment.
-
#delete_gist(gist, options = {}) ⇒ Boolean
Delete a gist.
-
#delete_gist_comment(gist_id, gist_comment_id, options = {}) ⇒ Boolean
Delete gist comment.
-
#edit_gist(gist, options = {}) ⇒ Object
Edit a gist.
-
#fork_gist(gist, options = {}) ⇒ Sawyer::Resource
Fork a gist.
-
#gist(gist, options = {}) ⇒ Sawyer::Resource
Get a single gist.
-
#gist_comment(gist_id, gist_comment_id, options = {}) ⇒ Sawyer::Resource
Get gist comment.
-
#gist_comments(gist_id, options = {}) ⇒ Array<Sawyer::Resource>
List gist comments.
-
#gist_commits(gist, options = {}) ⇒ Array
List gist commits.
-
#gist_forks(gist, options = {}) ⇒ Array
List gist forks.
-
#gist_starred?(gist, options = {}) ⇒ Boolean
Check if a gist is starred.
-
#gists(user = nil, options = {}) ⇒ Array<Sawyer::Resource>
(also: #list_gists)
List gists for a user or all public gists.
-
#list_gists(user = nil, options = {})
Alias for #gists.
-
#public_gists(options = {}) ⇒ Array<Sawyer::Resource>
List public gists.
-
#star_gist(gist, options = {}) ⇒ Boolean
Star a gist.
-
#starred_gists(options = {}) ⇒ Array<Sawyer::Resource>
List the authenticated user’s starred gists.
-
#unstar_gist(gist, options = {}) ⇒ Boolean
Unstar a gist.
-
#update_gist_comment(gist_id, gist_comment_id, comment, options = {}) ⇒ Sawyer::Resource
Update gist comment.
Instance Method Details
#create_gist(options = {}) ⇒ Sawyer::Resource
Create a gist
# File 'lib/octokit/client/gists.rb', line 71
def create_gist( = {}) post 'gists', end
#create_gist_comment(gist_id, comment, options = {}) ⇒ Sawyer::Resource
Create gist comment
Requires authenticated client.
# File 'lib/octokit/client/gists.rb', line 198
def create_gist_comment(gist_id, comment, = {}) = .merge({ body: comment }) post "gists/#{gist_id}/comments", end
#delete_gist(gist, options = {}) ⇒ Boolean
Delete a gist
#delete_gist_comment(gist_id, gist_comment_id, options = {}) ⇒ Boolean
Delete gist comment
Requires authenticated client.
# File 'lib/octokit/client/gists.rb', line 229
def delete_gist_comment(gist_id, gist_comment_id, = {}) boolean_from_response(:delete, "gists/#{gist_id}/comments/#{gist_comment_id}", ) end
#edit_gist(gist, options = {}) ⇒ Object
Edit a gist
#fork_gist(gist, options = {}) ⇒ Sawyer::Resource
Fork a gist
#gist(gist, options = {}) ⇒ Sawyer::Resource
Get a single gist
#gist_comment(gist_id, gist_comment_id, options = {}) ⇒ Sawyer::Resource
Get gist comment
# File 'lib/octokit/client/gists.rb', line 184
def gist_comment(gist_id, gist_comment_id, = {}) get "gists/#{gist_id}/comments/#{gist_comment_id}", end
#gist_comments(gist_id, options = {}) ⇒ Array
<Sawyer::Resource
>
List gist comments
# File 'lib/octokit/client/gists.rb', line 172
def gist_comments(gist_id, = {}) paginate "gists/#{gist_id}/comments", end
#gist_commits(gist, options = {}) ⇒ Array
List gist commits
#gist_forks(gist, options = {}) ⇒ Array
List gist forks
#gist_starred?(gist, options = {}) ⇒ Boolean
Check if a gist is starred
#gists(user = nil, options = {}) ⇒ Array
<Sawyer::Resource
>
Also known as: #list_gists
List gists for a user or all public gists
#list_gists(user = nil, options = {})
Alias for #gists.
# File 'lib/octokit/client/gists.rb', line 25
alias list_gists gists
#public_gists(options = {}) ⇒ Array
<Sawyer::Resource
>
List public gists
# File 'lib/octokit/client/gists.rb', line 33
def public_gists( = {}) paginate 'gists/public', end
#star_gist(gist, options = {}) ⇒ Boolean
Star a gist
#starred_gists(options = {}) ⇒ Array
<Sawyer::Resource
>
List the authenticated user’s starred gists
# File 'lib/octokit/client/gists.rb', line 41
def starred_gists( = {}) paginate 'gists/starred', end
#unstar_gist(gist, options = {}) ⇒ Boolean
Unstar a gist
#update_gist_comment(gist_id, gist_comment_id, comment, options = {}) ⇒ Sawyer::Resource
Update gist comment
Requires authenticated client
# File 'lib/octokit/client/gists.rb', line 214
def update_gist_comment(gist_id, gist_comment_id, comment, = {}) = .merge({ body: comment }) patch "gists/#{gist_id}/comments/#{gist_comment_id}", end


{{ app_name }} {{ app_version }} ({{ app_id }})
Name
Size
Built in
Replacement
Delete
{{ list_content }}
Kill App


//* Just adding some comments*// //* Some more comments*// <<<<<<< Updated upstream //* Tetsing ABC *// ======= //* Tetsing*// //testing// >>>>>>> Stashed changes


| Tram Routes 18, 22, 54, & 80 | Indefinitely blocked due to protest |
| Sunbury line | 32 minutes late |
| Watergardens line | 18 minutes late |
| City Loop line | 6 minutes late |
| Flinders Street Tram Stop | Unavailable due to roadworks |
| Parliament Station | East exit blocked |
| Footscray Station | Escalators broken |
| Frankston Station | All bathrooms out of order |


WebsiteForOnlineFoodDelivery.in
Log out
ACCOUNT SUMMARY
UPDATE PASSWORD
UPDATE WEBSITE PIC
UPDATE WEBSITE LOGO
UPDATE MENU CHART
UPDATE RESTAURANT TIMING
ENTER TIMING DETAILS OF YOUR RESTAURANT
Your website will be updated soon, you will get email notification once it is updated
I want to keep my restaurant open for 24x7
No, i don't want to keep open my restaurant for 24x7
Restaurant Opening Time
*
Restaurant Closing Time
*
Week Holiday
--Select--
sun
mon
tue
wed
thru
fri
sat
Submit
Submit


MOlD REMEDIATION
What is Mold Remediation (mold removal)?
Mold is a common fungus that is readily found in nature. It can be a major problem if it finds its way inside your home or workspace. It often grows in a warm and damp environment and multiplies as microscopic spores. When it comes to indoor mold growth, it can grow in surfaces like wallpaper, ceiling tiles, carpets, insulation material, wood, and drywall. In short, mold growth is one of the worst contaminants you can come across. It grows very fast and if left unchecked, it can not only have some serious effect on your health but also on the structure of your property. This is why it is necessary to hire Mold Cleaning Services on witnessing the signs of mold growth. Total green technical & Cleaning Co. is one of the best Mold remediation company in Dubai, and we are here to solve your problem and avert long term damage.
Mold remediation solutions with gelair.
Total green technical & Cleaning Co. is one of the best Mold remediation company in Dubai, and we are here to solve your problem and avert long term damage.
Combat and Prevent Bacteria, Mold and Viruses Indoors with Gelair™.
Gelair™ products are the simplest way to stop mold and bacteria that infest your air conditioner and the room it services. Gelair™ has delivered solutions to mold and bacteria build up in buildings for over two decades, using Australian grown and distilled Tea Tree Oil as the main ingredient in all Gelair™ products. Only the finest Tea Tree Oil is used in Gelair™ products, with every batch meticulously tested for quality. Australian Tea Tree Oil is a powerful broad spectrum anti-microbial and anti-fungal agent, killing mold and bacteria (including Legionella) and viruses. .


Service for creating and showing Bootstrap modals from templates.
Project & README | Demo | Demo Source Code | Documentation
Important note: Unlike other Angular/Bootstrap libraries, this library depends on the native Bootstrap js and css. This is by design. You must add Bootstrap and its dependencies into your app's build.
npm i @nowzoo/ngx-bootstrap-modal jquery popper.js bootstrap --save
Add Bootstrap and its dependencies to your build...
// in angular.json
"styles": [
"node_modules/bootstrap/dist/css/bootstrap.min.css",
"projects/ngx-bootstrap-modal-demo/src/styles.scss"
],
"scripts": [
"node_modules/jquery/dist/jquery.slim.js",
"node_modules/popper.js/dist/umd/popper.min.js",
"node_modules/bootstrap/dist/js/bootstrap.min.js"
]
(Alternately, you can use script tags in your index.html.)
Import the NgxBootstrapModalModule
and call forRoot()
.
import { NgxBootstrapModalModule } from '@nowzoo/ngx-bootstrap-modal';
@NgModule({
imports: [
NgxBootstrapModalModule.forRoot()
]
})
export class AppModule { }
Use the service...
import { NgxBootstrapModalService } from '@nowzoo/ngx-bootstrap-modal';
export class AppComponent {
constructor(
public modalService: NgxBootstrapModalService
) {}
}
<ng-template #demo1>

Modal title

<button type="button" class="close" data-dismiss="modal" aria-label="Close">
×
</button>

Modal body text goes here.

<button type="button" class="btn btn-secondary" data-dismiss="modal">Close</button>
<button type="button" class="btn btn-primary">Save changes</button>

</ng-template>

<button type="button"
class="btn btn-primary"
(click)="modalService.show(demo1)">
Show Modal
</button>

All modal options are settable by classes and data-attributes
in the modal markup. See the Bootstrap Modal docs for details.
NgxBootstrapModalService
's show(templateRef)
method accepts a TemplateRef
. It returns an instance of INgxBootstrapModalInstance
, which contains various methods and properties to track and manipulate the modal. See the documentation for more details.
Clone the main repo and npm install...
git clone https://github.com/nowzoo/ngx-libs.git
cd ngx-libs
npm i
The library files are in projects/ngx-bootstrap-modal
.
The demo code is in projects/ngx-bootstrap-modal-demo
.
Building the library...
ng build ngx-bootstrap-modal
Testing the library...
ng test ngx-bootstrap-modal
To test with Wallaby, use the wallaby.js
config at the root of the project directory.
Serving the demo...
# make sure you've built the library locally first with ng build ngx-bootstrap-modal
ng serve ngx-bootstrap-modal-demo
Please submit issues to the main repo here.


Installation
$ cabal update
$ cabal install selda-sqlite selda-postgresql
$ cabal update
$ cabal install selda-sqlite
$ cabal install selda-postgresql
Features
- Type-safe queries, inserts, updates and deletes
- Monadic query language with general inner queries
- Seamless prepared statements
- Upserts, transactions and constraints
- Minimal dependencies
- In-process caching
- Backends for PostgreSQL and SQLite
- ...and much more!
By example
people :: Table (Text :*: Int :*: Maybe Text)
(people, name :*: pet :*: age)
= tableWithSelectors "people"
$ primary "name"
:*: required "age"
:*: optional "pet"
main = withSQLite "people.sqlite" $ do
createTable people
insert_ people
[ "Velvet" :*: 19 :*: Just "orthros"
, "Kobayashi" :*: 23 :*: Just "dragon"
, "Miyu" :*: 10 :*: Nothing
]
adults <- query $ do
person <- select people
restrict (person ! age .> 18)
return (person ! name :*: person ! pet)
liftIO $ print adults


Amazon Connect - Contact Control Panel
Snapshot Account
Account
Account Number
Case List Name
Collection Org
Past Due
Account Limit
Current Balance
Total Required
Scheduled Payment Amount
Scheduled Payment Frequency
Days Delinquent
Customer
Name
Address 1
Address 2
Address 3
Suburb
State
Post Code
Home Phone
Mobile Phone
Work Phone


{% extends "layout-2.html" %} {% block page_title %} GOV.UK payment page {% endblock %} {% block content %} Back We need some details from you Full name This is the name that will appear on the permit Are you 16 or over? Yes No Address We'll send your permit here. The address must be in the UK. Building and street Town or city Postcode Continue {% endblock %}
We'll send your permit here. The address must be in the UK.


Incomplete direct link: ![ref undefined](url
Incomplete direct link: (url
Incomplete ref link: ![ref undefined][ref
Incomplete ref link: [ref


Generates properties from a list of names (one per line; use the button to fix up comma separated properties).
Code (properties for C#, VB.Net and VB6; use Templates for a very basic data access class).
SQL (select/insert/update/delete statements - put an asterisk anywhere on the line for a primary key)
You can also generate web markup (HTML as divs or tables, asp.net and even asp3).
The input is designed for a simple list of names, or common formats including Create Table DDL. There are no checks for language reserved words, and very simple capitalization/cleaning of names.
If the column datatype is appended (after a space or tab), it tries to work out an appropriate datatype (data length is used for strings; precision/scale is only used for detecting booleans). For code (not C# compact), simple string validators are added is it is a string datatype. Asp.Net also uses the datatype for validators created using Validomatic.
The text " NOT NULL" on the same line (as in DDL) makes string properties mandatory (code properties throw an exception if null or empty string).
C# Compact has less lines than C#, and no validation (for 3.5, just use automatic properties). C# Compact is not silently ignore with Use Templates.
The templates include ado select/insert/updates using datareaders and are only intended for cut'n'paste.
For Oracle: select column_name, data_type || '(' || data_length || data_precision || ',' || data_scale || ')', table_name from USER_TAB_COLUMNS where table_name = 'pubs'; or extract from select dbms_metadata.get_ddl('TABLE','pubs') from dual;


Sellable is a new way to sell your home.
We’ll pay you a guaranteed price upfront, with the potential for more once we sell your home. It’s fast, simple and convenient.
Leave us your email below, and we’ll notify you the minute we open the doors.
Enter your details below and we will be in touch when we launch.


--- layout: page title: About me subtitle: Why you'd want to go on a date with me ---
Hi., My Name is Keshav Yamalapati. I am a Software Developer from Hyderabad, India having 3 years of experience in Web and Mobile Development.
I like to build great Software Products and help business succeed with their goals, solving problems and constantly being in move to learn new things.


agensmanager graph
agensmanager query
agensmanager user
agensmanager dadata
agensmanager setting
agensmanager help
22 minutes ago


Repay money owed
Use this service to repay a benefit overpayment or social fund loan
2. If you don't pay
If you don't pay back the money owed the Department for Work and Pensions may recover the money through a debt collection agency or by taking it directly from your wages.
Recovery from wages
DWP may contact your employer to make deductions directly from your wages under a direct earnings attachment
Recovery through debt collection agency
DWP may pass your case to an independent debt collector if you haven’t paid back the money you owe.
You’ll get a letter from one of the following suppliers saying that it’s acting on behalf of DWP:
- Akinika (formerly iQor)
- CCS Collect
- drydensfairfax solicitors
- Credit Solutions
- Fredricksons
- dlc (Direct Legal & Collections)
You should deal directly with the debt collector to arrange repayment.


Syntax:
school minnow-ID Np keyword value ...
possible keywords = bind bind values = N1,C1 N2,C2 ... N1,C1 = node ID, core ID for first minnow N2,C2 = node ID, core ID for second minnow, etc see discussion below for wildcard format
Examples:
school 3 10 school countapp 1 school countapp 1 host foo.locallan.gov school myApp 5 bind *,0 school myApp 2 bind 0,0 3,2 school myApp 5 bind 0*1,* 2,0
Description:
School is a command that can be used in a PHISH input script which is recognized by the bait.py setup program. It determines how a minnow application will be launched when the PHISH program is run. In PHISH lingo, a "minnow" is a stand-alone application which makes calls to the PHISH library to exchange data with other PHISH minnows.
The minnow-ID is the ID of the minnow, as previously defined by a minnow command.
Np is the number of instances of this minnow that will be launched when the PHISH program is run.
The bind keyword allows you to control what machine or what nodes and cores of a multi-core machine that each instance of a minnow will run on.
There are 3 ways to do this assignment in PHISH; each is discussed below.
The examples below use a PHISH input script with 2 schools of minnows, the first with a school Np setting of 12, the second with 8, for a total of 20 minnows or processes.
Here is how binding works for the MPI backends to the bait.py command.
If bindorder is unset (or set to 0) and no bind keywords are used with the school command, then minnows will be assigned to the nodes by the mpirun command. By default this is typically first by core, then by node. E.g. on a machine with quad-core nodes, the 12 instances of the first minnow would run on the 12 cores of the first 3 nodes, and the 8 instances of the second minnow on the 8 cores of the last 2 nodes, since your job will be allocated 5 nodes when mpirun requests 20 processes for the entire PHISH program. The mpirun commands for different versions of MPI have options that can be used to control the assignment, e.g. to assign first by node, then by core. See the man pages for mpirun for details.
The other 2 methods of assignment will override any options to the mpirun command.
If bindorder is set to 1 or 2, and no bind keywords are used with the school command, then minnows are assigned to cores in the following manner, using the pernode and numnode settings of the bait.py set command.
If bindorder is set to 1, then minnows are assigned in a double loop, with the inner loop over cores from 0 to pernode-1 and the outer loop over nodes from 0 to numnode-1. E.g. on a machine with quad-core nodes, the 12 instances of the first minnow would run on the 12 cores of the first 3 nodes, and the 8 instances of the second minnow on the 8 cores of the last 2 nodes, since your job will be allocated 5 nodes when mpirun requests 20 processes for the entire PHISH program. This assumes that you have set pernode to 4 and numnode to 5; the latter is the default.
If bindorder is set to 2, then minnows are assigned in a double loop, with the inner loop over nodes from 0 to numnode-1 and the outer loop over cores from 0 to pernode-1. E.g. on a machine with quad-core nodes, the 12 instances of the first minnow would be spread across all 5 nodes (3 on the first 2, 2 on the last 3), as would the 8 instances of the second minnow (1 on the last 2, 2 on the last 3), since your job will be allocated 5 nodes when mpirun requests 20 processes for the entire PHISH program. This again assumes that you have set pernode to 4 and numnode to 5.
But if you were allocated 12 nodes and are only running 20 minnows, you could set numnode to 12 and bindorder to 2. The 12 instances of the first minnow would be spread across all 12 nodes (1 each), and the 8 instances of the second minnow would be spread across the first 8 nodes (1 each).
If the bind keyword is used with any school command, it must be used with all of them. If it is used, then each minnow is assigned explicitly to a specific node and core, so that the methods of assignment just described are overridden. However if wildcards are used in the explicit assignments, then the bindorder, pernode, and numnode settings are used, as explained below.
The bind keyword takes one or more node/core ID pairs as values. Node IDs must be from 0 to numnode-1 inclusive. Core IDs must be from 0 to pernode-1 inclusive. Each node and core ID can represent a range of consecutive node and core IDs if it is specified using a wildcard. This takes the form "*" or "*n" or "n*" or "m*n". If N = numnode or pernode for node or core count, then an asterisk with no numeric values means all IDs from 0 to N-1 (inclusive). A leading asterisk means all IDs from 0 to n (inclusive). A trailing asterisk means all IDs from n to N-1 (inclusive). A middle asterisk means all IDs from m to n (inclusive). Specifying an ID that is < 0 or >= N is an error.
For each bind value an ordered list of explicit node/core IDs is generated, expanding each value with wildcards as needed. If both the node and core ID have a wildcard then the value is expanded in a double loop. The ordering of the double loop is controlled by the bindorder setting as explained above: inner/outer = core/node for bindorder 1, inner/outer = node/core for bindorder 2.
For example, on a machine with 4 cores per node (pernode = 4), and 3 nodes allocated for your PHISH run (numnode = 3), this command
school myApp 5 bind 1*,* 0,2*
would generate the following list of 10 node/core ID pairs:
(1,0), (1,1) (1,2) (1,3) (2,0) (2,1) (2,2) (2,3) (0,2) (0,3)
The minnow instances are assigned to this list in order. I.e. the first minnow instance will run on the 1st node/core ID, the 2nd instance of the minnow on the 2nd node/core ID, etc.
If the number of instances Ni < the length of the list, then only the first Ni node/core ID pairs are used. If Ni > length of the list, then the list is looped over until all minnow instances are assigned. Note that this can result in multiple minnows being assigned to the same core.
Binding for the ZMQ backends to the bait.py command works the same way as for the MPI backends, with 3 differences.
(1) The first method described above, i.e. letting the mpirun command assign minnows to physical processors, is not an option. One of the other 2 methods must be used.
(2) Once a minnow has been assigned to a node ID and core ID, the core ID is ignored.
(3) The node ID is converted to a machine hostname. The set of possible hostnames is determined by the variable hostnames command which must be specified either in the input script or as a command-line option to the bait.py tool. As described on the variable doc page, a hostname can be a machine name (foo.localnet.gov) or a node name on a parallel machine (rs2001).
The ZMQ backend launches each minnow on a specific hostname. If the host is a multi-core node, then it may launch multiple minnows on the node, relying on the node operating system to distribute the minnow processes efficiently across cores.
As described above each node ID is a value N from 0 to numnode-1 inclusive. This value is used to index into the list of hostnames. If the list length L is smaller than N, then the index = N mod L. E.g. if the node ID N is 10 and the hostname list is of length 4, then the node maps to the 3rd hostname in the list (index = 2).
Restrictions: none
Related commands:
Default:
If a school command is not specified for a particular minnow, then Np is assumed to be 1, so that one instance of the minnow is launched when the PHISH program is run.


"When I found the courage to start to code, I instantly felt I found my calling, my new aspiration. I spent my formative years and first working experience immersed in Japanese culture and language, which will always remain my great passion. Yet I feel more than ready to embrace this new challenge and dive into the world of coding with the same dedication and give- it-my-best attitude that has been guiding my steps so far."
Key Competencies:
Achievements:
Contact me at:


Before Change
if not self.is_square:
raise RuntimeError("add_diag only defined for square matrices")
try:
expanded_diag = diag.expand(self.shape[:-1])
except RuntimeError:
raise RuntimeError(
"add_diag for LazyTensor of size {} received invalid diagonal of size {}.".format(
self.shape, diag.shape
)
)
return KroneckerProductAddedDiagLazyTensor(self, DiagLazyTensor(expanded_diag))
def diag(self):
r
After Change
if not self.is_square:
raise RuntimeError("add_diag only defined for square matrices")
diag_shape = diag.shape
if len(diag_shape) == 0 or diag_shape[-1] == 1:
// interpret scalar tensor or single-trailing element as constant diag
diag_tensor = ConstantDiagLazyTensor(diag, diag_shape=self.shape[-1])
else:
try:
expanded_diag = diag.expand(self.shape[:-1])
except RuntimeError:
raise RuntimeError(
"add_diag for LazyTensor of size {} received invalid diagonal of size {}.".format(
self.shape, diag_shape
)
)
diag_tensor = DiagLazyTensor(expanded_diag)
return KroneckerProductAddedDiagLazyTensor(self, diag_tensor)
def diag(self):
r


_The_Watcher_ (R) 1/2* (out of ****)
There is a germ of an interesting idea buried in _The_Watcher_, but any chance of that idea developing into the basis of an intelligent thriller was completely obliterated when the thought of stunt casting entered the picture. So instead of an engrossing psychological chiller, we get a fairly pro forma serial killer pursuit pic where the madman is played by... Keanu Reeves. Any wonder why not a single scare nor suspenseful moment is to be experienced in this amazingly anemic film?
The potentially interesting idea lost in the muck is the exploration of the strange symbiotic relationship between a killer and his pursuer. In _The_Watcher_, the killer is Reeves' David Allen Griffin, who stalks his young female prey before strangling them with a piano wire; the pursuer is Joel Campbell (James Spader), an FBI profiler who worked on the Griffin case during his initial killing spree in Los Angeles. Burned out after working that case--without ever capturing Griffin--Campbell has since left the bureau and the City of Angels, living a layabout life in Chicago that is perked up only by non-stop intake of prescription drugs and frequent visits to his shrink, Polly (Marisa Tomei, struggling to get back on the studio A-list in a thankless role). But it isn't long before Griffin turns up in the Windy City, prodding Campbell into a cat-and-mouse game that brings him back to the Fed fold.
I get the impression that the story as originally conceived by Darcy Meyers and David Elliot was less about catching the killer--which is what the finished _The_Watcher_ ostensibly is, a routine genre exercise--than about something more interesting: that being how lawmen become defined by the perps they track, and vice versa. But any probing psychological dimension to this story is drowned out by Joe Charbanic's overdirection. Heavy on the quick edits and stylized visuals, it comes as no surprise that Charbanic is another music video vet making the big leap to the feature film world. While flashiness has its place on the big screen, the seems strangely out of place in a film whose content suggests something darker and grittier (further exemplified by Spader and Tomei's sullenly earnest performances); the gloss makes the film that much more difficult to believe.
Ultimately nudging _The_Watcher_ from "difficult to believe" to "impossible to believe" is the ruinous presence of Reeves. Charbanic directed videos for Reeves' band Dogstar, and I'd like to think it's that connection--and studio execs' taste for stunt casting--is what led to this stunning example of miscasting. It is inconceivable that anyone could sincerely believe that he of the affectless voice, erratic speech rhythms, blank face, and bobbing head could convincingly convey any sense of evil or menace, and Reeves' performance just confirms how limited his range is. His Griffin is serial killer as laid-back surfer dude, and never once do we believe someone this incredibly goofy could have evaded the authorities this long. Whenever Reeves shows up, any level of believability that the film has managed to generate (mostly courtesy of Spader) goes rocketing out the window.
And, unfortunately, Reeves shows up quite frequently in _The_Watcher_, and Charbanic and the rest of the crew fail to compensate with the pedestrian, suspenseless plot twists, which lumber toward a most unsatisfying climax. As such, the only fright likely to be experienced by moviegoers is the fact that they spent hard-earned money on such a turkey.
Michael Dequina<EMAIL_ADDRESS>|<EMAIL_ADDRESS>|<EMAIL_ADDRESS>Mr. Brown's Movie Site: http://www.moviereportsite.com CinemaReview Magazine: http://www.CinemaReview.com on ICQ: #25289934 | on AOL Instant Messenger: MrBrown23
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


Doctor Doctor, give the news...
I have a bad case of...
Submit location
Find a doctor by name:
Submit location
Doctors in Portland, Or that can help!


Please complete our survey
Contact information
Email address:
First name:
Last name:
Geographic information
State:
Zip code:
How did you hear about us?
Web Search:
Facebook:
Twitter:
Email message:
Thank you for taking our survey!


Inside Xbox XO19 episode to showcase new games and xCloud streaming
It's time to get excited Xbox fans
by Brad BennettMicrosoft is holding a special live Inside Xbox presentation at 3PM ET/12pm PT to air its XO19 keynote from London, England.
You can watch the show live on Mixer, Microsoft’s streaming app, the mobile Xbox app or an Xbox Console. You can also view the presentation on Twitch, YouTube, Facebook and Twitter.
At the show, Microsoft is planning to share details about 12 games, including new, original titles.
On top of the new game information, the company is expected to showcase more information about its upcoming game streaming platform xCloud and has promised “big news for Xbox Game Pass.”
MobileSyrup’s Brad Shankar is going to be on the ground at the event, so stay tuned for all the latest Xbox news.
Source: Xbox Wire


{% extends "template.html" %} {% block content %}
The Network of Brian contains (and will contain more) neural networks. Each one is a variation on a convolution network. If you'd like to know more, go to the how it's made page. The name is a play on the movie, The life of Brian by Monty Python (seems appropriate considering it's implemented in Python, of which the language's name was coined from); furthermore, Brian is one character switch from Brain. Thusly, Network of Brian can be reasonably surmised to be a pseudonym for Brain (Neural) Network.
It should also be stated that these networks are not optimized for performance. I made them to experiment with and learn from not for production. Alterations can be made to improve their speeds. In fact, someone are created purely to compare their speed.
Contrary to popular belief, the essence of what makes a neural network function is quite simple in theory. For the purposes of this explanation, I will oversimplify many things, but the intuition derived from this can act as a heuristic to understand more complex representations later on.
Think of a simple math function, f(x). That simply takes an input, does some calculations, and outputs a value. A neural network works in a similar way in that it can be thought of as a math formula but instead of a single variable, x, as input, it has thousands of variables.
How a neural network learns can also be thought of in a similar way. Every time the word "learning" is used, it essentially just means finding the minimum of this function. We've all done this in high school with calculus. In fact, finding the minimum of a function is quite trivial. So why do we need a neural network to calculate these partial derivatives? Well let us look at an example.
Finding the local (and even global) minima of this graph is easy. You can do it visually by seeing the lowest point. A neural networks graph, however, is magnitudes more complex. This example is in 2-dimensions and only has one variable. A realistic graph would be in 3-dimensions or higher! It would also contain thousands of more variables. So calculating this, even with multi-variable calculus is practically impossible. Theoretically it is possible to calculate the global minimum of any given neural network with gradient descent; however, that is only theoretical. In fact, it is part of a class of problems called NP (non-polynomial deterministic). That is a different subject altogether though. For our purposes, just take for granted that finding the global minimum is practically impossible. In recent years, though, there has been some interesting research on the subject by MIT and Carnegie Mellon . So the best we can do is find a local minimum, but don't worry, because it turns out that all local minima are approximately equal (not technically a true statement, but for our purposes, it fits well enough). So finding a minimum is usually good enough. In fact, you can see it with this network. The local minimum that this network stumbled down, has a peak of approximately 95% accuracy. That's pretty good! I have, on the other hand, seen different networks process the same data with an accuracy of up to 98% and even 99%. Recognizing a hand written digit is fairly trivial compared to recognizing a face or God knows what else big tech companies have trained their in-house AI to do. That's a large reason why everyone wants your data. To train AI. This simple network alone uses 50,000 images to learn.
So that's the essence of a simple neural network. Now rewind the clock to the 1990's and this would be cutting edge, but more complex models, like deep learning for example, still rely on this concept of a simple neural network.
Currently, this page holds two implementations of the same network. The first one is an intuitive, albiet naive, implementation of gradient descent. It simply iterates over all the values and calculates the gradient of the curve. The reason this implementation is ultimately naive is because linear algebra exists. This is where the second implementation comes into frame. This fully matrix-based one collects all the values into a vector performs some basic linear algebra. Why this is significant will become apparent below.
When it comes to accuracy, you can clearly see that the difference is non-existant. This is because they both perform the operation, just in a different manner. Looking at the plot, you can see that the accuracy reaches an asymptotic maximum because we've found the local minimum of the function. There are almost certainly more minimums that are perhaps more optimal, but as stated prior, finding them is tant amount to finding the global minimum. So a fool's errand.
An Epoch is exactly that, a length of time. In this case it is one complete run through of a 50,000 item training set of images. So you can imagine how this program might take a while. It has to calculate 781 pixels (28x28 px image) 50,000 times per epoch.
Analysing the speed of the networks, now reveals why the iterative implementation is naive. The iterative version has a fairly linear run time as expected, but the interesting part is the curve of the matrix based network. The library I used for linear algebra in numpy, a Python library. I don't know how it is implemented exatly but we can extrapolate that it's runtime is bounded by what I believe is log(n) or nlog(n) by the shape of the curve.


|
Player B Player A |
Human |
Bot | |
Human |
“B is Human” |
++ / ++ |
-- / ++ |
“B is a Bot” |
-- / -- |
++ / -- |
|
Bot |
“B is Human” |
++ / - |
- / + |
“B is a Bot” |
-- / -- |
+ / - |


The grade sheets application can't do anything since your browser is not allowing JavaScript code to run. Is it disabled in your browser settings?
The grade sheets application can't control how the printed output looks, since your browser is not allowing CSS code to run. Is it disabled in your browser settings?


ttf2afm(1) pdfTeX ttf2afm(1) NAME ttf2afm - utility to generate AFM files for TrueType fonts SYNOPSIS ttf2afm [OPTIONS] FONTFILE DESCRIPTION ttf2afm is used to generate Adobe Font Metrics (AFM) files for TrueType (TTF) fonts to allow them to be used with TeX. ttf2afm takes the name of a TrueType font file as a required argument. It may also take one or more options from the list below (note that -d and -h are mutually exclusive). OPTIONS -a print all glyphs -i read names in encoding vector in form `indexnum' -d print glyph names in the form `indexdecimal_num' -h print glyph names in the form `indexhex_num' -c name print encoding tables to file name.eMN, where M is the platform number and N is the encoding -e enc use encoding from file enc -o output output to file output instead of stdout Platform numbers can be one of 0 Apple Unicode 1 Macintosh 2 ISO 3 Microsoft Encodings can be 0 Roman (if platform is Macintosh) 0 Symbol (if platform is Microsoft) 1 Unicode (if platform is Microsoft) BUGS None known, but submit bug reports to<EMAIL_ADDRESS>(mailing list). AUTHOR ttf2afm is part of pdfTeX and was written by Han The Thanh <thanh@infor‐ matics.muni.cz>. This manual page was written by C.M. Connelly<EMAIL_ADDRESS>for the Debian GNU/Linux system. It may be used by other distributions without contacting the author. Any mistakes or omissions in the manual page are my fault; inquiries about or corrections to this manual page should be directed to me (and not to the primary author). pdfTeX September 2000 ttf2afm(1)


Each word is given with its attested variants between parenthesis, its inflected forms (plural for a noun, past tense for a verb, etc.), its grammatical role and its definition. The following diamond symbol (◇) introduces the textual references (books and pages where the word occurs -- in the case of deduced entries, references are introduced by an arrow (←), see below.
cair* kˈɑjr ( ceir ) n. ship ◇ Ety/365, LotR/A(iv), X/EI ◇ MS *keir, OS *kiria (KIR)
Words immediately followed by a star (*) are attested in Sindarin (in that case, see Cair Andros in the Lord of the Rings, appendix A). A word without this sign is attested in "Noldorin" dialect only (most probably in The Etymologies). When both forms are known, searching for the "Noldorin" word is always possible, and returns a link to the main entry.
ceir → cair
Likewise, inflected forms are linked to the actual word:
edain* pl. of adan
David Salo's etymological reconstructions are introduced by another diamond (◇) diamond. David has spent much of his time understanding how Sindarin words are derived from Common Elvish. These notes try to extend Tolkien's ever changing rules, providing consistent and understandable etymologies.
The full diamond (◈) introduces a list of related words, for instance inflected forms of the headword. Each related entry is given with its grammatical role (part of speech). Assuming that you search for ava-, you will get the following result:
ava-* ˈɑvɑ aux. will not ◇ OS *aba (ABA) ◈ avad* ger. ◈ avo* v. imp. ◈ avon* v. 1st ◈ avam* v. 1st pl.
When several words with the same orthography exist in the dictionary, they are numbered:
aer* I [ˈɑɛr] n. sea ◈ Tolkien changed this word several times, see aear, gaear ◇ OS *aire (çJ-AR)
aer* II [ˈɑɛr] adj. holy ◇ VT/44:21,24
A few words in the dictionary are actually not attested in full form in Tolkien's writings, but may be deduced from place names or inflected forms occurring in a Sindarin text. In that case, they are printed in italic:
cast* [kˈɑst] n. cape, headland ← Angast VT/42:28
Tolkien's handwriting is sometimes difficult to decipher. Several probable errors have been corrected in the dictionary (such as hamma for hamnia), according to our understanding of the Sindarin phonology. However, Christopher Tolkien's original reading is always mentioned after the corrected word:
hamma- (corr. hamnia) [hˈɑmmɑ] v. to clothe ◇ Ety/363 ◇ OS *kʰampʰa- (KHAP) ◈ hammad ger.
A few words not invented by Tolkien himself, but occur in Peter Jackson's movie adaptation or later texts by Tolkien's fans. They are included for discussion and reference. They are marked as deduced (italic) and are followed by a dagger sign (†).
gžd† n. foe ◇ [PJ-Movie] ◈ Inscription on Aragorn's Hunting Knife and Glamdring, Official Movie Magazine #2 (source: Gwaith i Phethdain)
Copyright (c) 1999-2002 by Didier Willis
and The Sindarin Dictionary Project. This material may be
distributed only subject to the terms and conditions set forth in
the Open Publication License, v1.0 or later (the latest version is
presently available at http://www.opencontent.org/openpub/).
Distribution of substantively modified versions of this document is
prohibited without the explicit permission of the copyright holder.
Distribution of this work or derivative of this work in any standard
(paper) book form is prohibited unless prior permission is obtained.


*CSET 160.2*: server to browser How to use these slides: * P toggle presenter notes * ? help menu * → next slide Also, [here's the source](https://github.com/chadoh/cset160) --- CSET 160.2 # server to browser Using Ruby to send a webpage --- attendance # some kind of list what do you want to list? cities, movies, todos, bands, vegetables? (*keep it simple*) --- background-image: url(img/client-server-model.svg) ??? Review: remember the client-server model? --- # Let's perform [a play](play.md) a heroic browser, a thoughtful server, and the friends who help them talk to each other --- # That was fun! Let's think about it a different way. --- # Seven Layers of _Networks_ --- # Seven Layers of _Networks_ Open Systems Interconnection (_OSI_) model --- background-image: url(img/osi-2.jpg) ??? Each layer only talks to the layer above and below it --- background-image: url(img/osi-3.png) ??? The seven layers pictured another way, taken from Wikipedia: https://en.wikipedia.org/wiki/OSI_model#Description_of_OSI_layers --- background-image: url(img/osi.gif) ??? A more detailed view --- # consider again that server --- # What actually happens on the server? --- # What actually happens on the server? CGI: [Common Gateway Interface][CGI] [CGI]: https://www.tutorialspoint.com/perl/perl_cgi.htm --- background-image: url(img/cgiarch.gif) --- background-image: url(img/cgiarch-annotated.gif) ??? Confusing as it is, a process called a _server_ runs on the _server_. Sheesh. Naming things is hard! 1. So, the server _process_ sits there, always waiting by the phone, waiting for someone to call. 2. When someone calls, the _server process_ can handle the request itself, such as for handing back simple `.html` or `.png` files. 3. For more complicated pages, the _server process_ can pass the request on to a script. This script can use Ruby or any other language. 4. The script can access a database if it needs to. 5. Ultimately, the script will create an `.html` file or similar. This is what gets sent back to the client. --- # Let's try it --- # Let's try it 1. Save [this file][1] into a new folder 2. Commit to git, push to GitHub 3. Run it with `ruby app.rb` 4. Open http://localhost:5678 [1]: https://github.com/chadoh/cset160-2-bare-bones-ruby/blob/34a987cf10653ff28578f6e7e879dc1ac5f5f3b3/app.rb ??? Taken from [Building a 30 line HTTP server in Ruby](https://blog.appsignal.com/2016/11/23/ruby-magic-building-a-30-line-http-server-in-ruby.html). Their tutorial digs into the specifics more, and is really helpful! --- class: small Inspecting the request ![the Google Chrome network tab](img/network-tab.png) --- Too close to the metal --- class: small # Let's use [Rack] [Rack]: https://rack.github.io/ ??? Rack is the foundation of basically any Ruby web framework, however big or small. You can even use it by itself to make web apps, and it's not as bad as you might think. Check out http://hawkins.io/2012/07/rack_from_the_beginning/ --- class: small # Let's use [Rack] Make your `app.rb` look like [this file](https://github.com/chadoh/cset160-2-bare-bones-ruby/blob/30526243763fe9b5bd17727020dc3a4718941f1f/app.rb) --- class: small # Let's use [Rack] Install it ```bash $ gem install rack ``` --- class: small # Let's use [Rack] Run the app ```bash $ ruby app.rb INFO WEBrick 1.4.2 INFO ruby 2.5.0 (2017-12-25) [x86_64-darwin17] INFO WEBrick::HTTPServer#start: pid=85529 port=8080 ``` --- class: small # Let's use [Rack] Visit it in your browser ```bash http://localhost:8080 ``` --- class: small # Let's use [Rack] Commit & push to GitHub ```bash $ git add -p $ git commit $ git push ``` --- let's deploy! --- let's deploy on [Heroku][heroku] [heroku]: https://devcenter.heroku.com/start --- background-image: url(img/cgiarch-heroku.gif) --- let's deploy on [Heroku][heroku] [heroku]: https://devcenter.heroku.com/start 1. Sign up for Heroku --- ## 1. Sign up for Heroku https://signup.heroku.com/ --- let's deploy on [Heroku][heroku] [heroku]: https://devcenter.heroku.com/start 1. Sign up for Heroku 2. Set up Heroku cli --- ## 2. Set up Heroku cli ![go to Heroku Deploy settings for new app](img/heroku-deploy.png) --- ## 2. Set up Heroku cli ![Select Heroku Git deployment method](img/heroku-deployment-method.png) --- ## 2. Set up Heroku cli ![configure heroku git for your app](img/heroku-git-setup.png) --- class: small ## 2. Set up Heroku cli Verify. When you run this: ``` bash $ git remote -v ``` Do you see something like this? ``` bash heroku https://git.heroku.com/chadoh-bare-bones-ruby.git (fetch) heroku https://git.heroku.com/chadoh-bare-bones-ruby.git (push) origin git@github.com:chadoh/cset160-2-bare-bones-ruby.git (fetch) origin git@github.com:chadoh/cset160-2-bare-bones-ruby.git (push) ``` --- let's deploy on [Heroku][heroku] [heroku]: https://devcenter.heroku.com/start 1. Sign up for Heroku 2. Set up Heroku cli 3. Modify app to work with Heroku --- class: small ## 3. Modify app to work with Heroku Add [Procfile](https://devcenter.heroku.com/articles/procfile) with this in it: ```ruby web: ruby app.rb -p $PORT ``` ??? The Procfile (process file), as described in the link, tells Heroku how to run your app. The `web:` at the beginning tells it that this should be a _web_ process. Heroku allows other kinds of processes, too. We'll learn about those in the Rails part of the class. --  Try it out: ```bash $ ruby app.rb -p 5678 ```  --- class: small ## 3. Modify app to work with Heroku Add [Gemfile](https://devcenter.heroku.com/articles/ruby-support#general-support-activation) with this in it: ``` ruby source "https://rubygems.org" ruby "2.5.0" # make sure this matches `ruby -v` gem "rack" ``` ??? The Gemfile, as described in the link, tells Heroku that this is a Ruby app. Not all Ruby apps use Bundler (`Gemfile` is a convention used by Bundler), but enough do that Heroku thought it made sense for this to be the trigger. --- class: small ## 3. Modify app to work with Heroku Set up [Bundler](http://bundler.io/) to work with that Gemfile. ``` bash $ gem install bundler $ bundle install ``` You'll see that you now have a `Gemfile.lock` --- class: small ## 3. Modify app to work with Heroku Don't hard-code the port number! --- class: small ## 3. Modify app to work with Heroku Don't hard-code the port number! Change this ``` bash :Port => 5678 ``` -- to this ``` bash :Port => ENV['PORT'] || 5678 ``` -- This tells Rack to use the [environment variable set by Heroku](https://devcenter.heroku.com/articles/config-vars), or to use 5678 if it isn't defined --- btw, you can try out that `ENV` thing like this: ```bash $ PORT=1234 ruby app.rb ``` Then open up `localhost:1234` --- class: small ## 3. Modify app to work with Heroku Commit & push to GitHub ```bash $ git add . $ git commit $ git push ``` --- let's deploy on [Heroku][heroku] [heroku]: https://devcenter.heroku.com/start 1. Sign up for Heroku 2. Set up Heroku cli 3. Modify app to work with Heroku 4. `git push heroku` --- class: center, middle # 🎉 --- # But wait! --- class: center, middle # 📃 📄 📑 ❓ --- # trouble in paradise ```bash http://localhost:5678/newpage http://localhost:5678/hello??? http://localhost:5678/whatever ``` --- class: center, middle # 😕 --- a [stupid simple](https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/1d64dd429dc21bcd703419e2603adb8bdaf67e6f) way to add routing --- oh but we need to mind our [http status codes](https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/e4b041efaff7d9ed952e07608b8de148af17d17d) --- and how about [a layout](https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/c4576c691803df012806976a6ed05cf6e3d8a413) --- let's learn about [rackup](https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/2e26ef8dbe78774edaeab69a2602383ca47ae6a9) -- pro tip: tack `?w=1` to the end of that URL --- Commit & deploy! --- ok but what is a realer way to do this --- # microframeworks! --- 👉 http://cuba.is/ --- change your Gemfile ```diff - gem "rack" + gem "cuba" + gem "tilt" ``` then `bundle install` ??? Does Cuba rely on Rack? How can you check? --- Switch [the whole way over](https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/707b2d1352c57ab1e84de0a3091d376350a5fc77) --- * Commit & push to github * `git push heroku` --- class: small Make it [safe](https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/af8a46ef03efe5933e167b83075c68c166509abc)! ```diff require "cuba" +require "cuba/safe" require "cuba/render" require "erb" +Cuba.use Rack::Session::Cookie, :secret => ENV["SESSION_SECRET"] || "__a_very_long_string__" + +Cuba.plugin Cuba::Safe Cuba.plugin Cuba::Render ``` --- * Commit & push to github * `git push heroku` --- restart your server while you work ```bash $ gem install rerun rb-fsevent $ rerun rackup ``` --  There are ways to do this other than [rerun](https://github.com/alexch/rerun), it was just the first one I found  --- What about *databases*? --- Let's [use SQLite3][sqlite3-example] [sqlite3-example]: https://github.com/chadoh/cset160-2-bare-bones-ruby/commit/a476b38140120a388528d83c2f4e905c9381278a -- (This won't work with Heroku) --- class: small # Lab: Make a list Use [my example app](https://github.com/chadoh/cset160-2-bare-bones-ruby/) as a starting point. Modify it to list whatever-you-want instead of Students. Make sure it still does all these things: * list items * create new items * delete items Do your work *on a branch*. Make a Pull Request, and send me a link! By EOD Monday. I'll review before class next Wednesday.


|
Easyuino
1.2.0
|
Relay offers a simple API to interact with relay devices. More...
#include <Relay.h>
Public Member Functions | |
| Relay (IN uint8_t arduinoPin) | |
| Constructor. More... | |
| ~Relay () | |
| Destructor. | |
| bool | begin () |
| Used to put the device ready to receive requests. More... | |
| bool | begin (IN bool isNormallyClosed, IN uint8_t normallyClosedPinLevel) |
| Used to initialize the relay API depending on how the relay will be connected. More... | |
| void | end () |
| Used to stop the device API. More... | |
| void | turnOn () |
| Turns on the device that is connected to the relay (depends on how the begin(bool,uint8_t) was called) | |
| void | turnOff () |
| Turns off the device that is connected to the relay (depends on how the begin(bool,uint8_t) was called) | |
| bool | isOn () const |
| Public Member Functions inherited from Easyuino::Device | |
| Device () | |
| Constructor called by every sub-classes. | |
| ~Device () | |
| Destroy all the resources associated with the device. | |
| bool | isInitialized () const |
| Verify is the device is initialized and ready to use. More... | |
Additional Inherited Members | |
| Protected Attributes inherited from Easyuino::Device | |
| bool | _isInitialized |
| Used to know if the device API is initialized and ready to receive requests. | |
Relay offers a simple API to interact with relay devices.
| Easyuino::Relay::Relay | ( | IN uint8_t | arduinoPin | ) |
Constructor.
| arduinoPin | Arduino pin that is connected with the relay (normaly called IN pins in the relay boards) |
|
virtual |
Used to put the device ready to receive requests.
Normally this have some default behaviour some devices have other overload method with same name that receives other arguments to device customization.
Implements Easyuino::Device.
| bool Easyuino::Relay::begin | ( | IN bool | isNormallyClosed, |
| IN uint8_t | normallyClosedPinLevel | ||
| ) |
Used to initialize the relay API depending on how the relay will be connected.
| isNormallyClosed | Define what are the state that relay is powering the device (lamp, engine, etc) Normally Closed or Normally Open |
| normallyClosedPinLevel | Digital level of the normally closed relay state (some relays activate on HIGH other on LOW) |
|
virtual |
Used to stop the device API.
After this the the device will not process API requests.
Implements Easyuino::Device.
| bool Easyuino::Relay::isOn | ( | ) | const |


An important concept to keep in mind is risk. Before you commit any change to ACE+TAO+CIAO+DAnCE, please consider the effects that it will have. Could it possibly cause a build failure, on any platform? Could it possibly cause different run-time behavior? And so on. If so, it is your responsibility to adequately build and test with the change, in order to verify that it has no unintended effects.
Please keep in mind the cost of committing a mistake. It may take you only a few seconds to fix, but its cost to the group may be much larger. With our large group, workspace updates and builds are likely to happen at any time. If one break, it can take hours to rebuild it. And each developer that was waiting for a successful build would be blocked for the duration of the broken build, the fix, and the rebuild.
A bug should typically follow this life cycle:
| Submitter: | Enters problem |
| Bugmaster: | Assigns |
| Owner: | Accepts |
| Owner: | Reproduces problem - if it needs a new test, write it and
put it in the regression tests.
If it can't be reproduced, set to Resolved/CANT_FIND. If it's a duplicate, set it to Resolved/DUPLICATE. Fix code, commit changes, set to Resolved. |
| Submitter: | Tests it again; set to Verified (pass) or Reopened (fail) |
| Owner: | After next release is done, re-test; sets to Closed or Reopened. |
At all times, we'll have a build czar. The role may be shared by multiple people. The build czar is responsible for ensuring that the next kits are clean, i.e., it builds and runs cleanly on all platforms. The status of all ACE+TAO+CIAO+DAnCE builds is tracked automatically online.
A comprehensive summary of the build czar's role is available here. This role is briefly summarized below:
Minor releases of ACE+TAO+CIAO+DAnCE occur periodically, typically twice a year. Minor releases have two-digit numbers, e.g., 5.3. Major releases are released infrequently, typically once a year. Major releases are 1-digit numbers, e.g.,5, that include substantially new functionality. Both major and minor releases are carefully tested on all platforms the ACE+TAO run on. In particular, we do not put out major or minor releases of ACE+TAO+CIAO+DAnCE until all the compilations and regression tests work successful on all the platform we support.
Between major/minor releases, we release micro releases periodically, e.g., 3-4 times per year, so that ACE+TAO+CIAO+DAnCE users can download and test our latest work in progress. ACE+TAO+CIAO+DAnCE micro release kits have three-digit numbers, e.g., 5.3.1. Micro releases often contain important fixes that aren't in the major/minor releases and will compile cleanly and pass most tests on most platforms. They are not, however, necessarily concerned with ensuring API compatibilities between micro releases, e.g., new features may be changed or removed between the micro releases.
Over the years, ACE+TAO+CIAO have benefited significantly from contributions by thousands of developers in the open-source community. To avoid fragmentation of the code base, by submitting comments, suggestions, code, code snippets, techniques (including that of usage) and algorithms (collectively ``Submissions''), submitters acknowledge that they have the right to do so, that any such Submissions are given freely and unreservedly, and that they waive any claims to copyright or ownership. In addition, submitters acknowledge that any such Submission might become part of the copyright maintained on the overall body of code that comprises the open-source DOC Group software. By making a Submission, submitter agree to these terms. Moreover, submitters acknowledge that the incorporation or modification of such Submissions is entirely at the discretion of the moderators of the open-source DOC software projects or their designees.
Last modified
.


New year, new you. Give your team the IT support they deserve! Until 1/31, we will be knocking off 20% for the first month of IT services in 2019!
If you are currently with us, you also get a bonus if you meet the following criteria:
1) add a new service to your plan, and
2) refer someone new to us.
When they sign on, we will take 10% off of your next bill, our treat!
Our Services


ORB features
Detector
FAST
Harris
Clipping
100
200
500
800
1200
Sensitivity
Video speed
Play / pause
Powered by
speedy-vision.js