|
| Comment
on Christine Corcos' article: The Court |
From: Robert Vollum found us through: Search Engine.
Ms. Corcos suggests, at the first of her review, that The Court
is a better show than First Monday. But then she proceeds to
castigate the show, among her laudatory comments, in each of
the important areas, writing and acting. I believe that The Court
stands absolutle no chance for survival for one very important
reason, and Ms. Corcos almost saw it. Sally Fields is a good
actress. But she is a perrenial teeny-bopper, in spite of the
fact that she is getting old. Did you see her practice-sitting
on the bench? She looked the poster girl for bring-your-child-to-work
day. No matter what writers go to work for her, they cannot possibly
give her any credibility, especially for the ability to think.
And the cliche of having Chris Sarandon being the stable force
on the bench by having him grow his salt and pepper beard - thereby
making him look like a worn-out old time editor - was just plain
silly. The Court is a badly written show and is an insult to
the Supreme Court of the USA.
| Comment
on Paul Joseph's article: It's the Writing, Stupid (First
Monday) |
From: Robert Vollum found us through: Search Engine.

First Monday has the potential to be a top-rated television show,
given the stellar cast. I have seen almost all of these actors
in more supreme quarters over the years, and I know that each
one is as capable of delivering well-written material, as they
are of the material they are given here. First, there is no reason
whatsoever to have James Garner smoking. Not only is this becoming
a passe prop, but it should be incumbent upon the person considered
to be the top judge in Ameria to be bright enough not to smoke.
Regarding the young lawyer/clerks. Their collective existences
should be downplayed in the face of such potentially high drama.
Instead we are given dialogue and presentation taken from out-pages
of the series, Friends.  Was one of the writers was a Friends writer. The soporific
portrayal of Justice Novelli by Joseph Montegna matches his title
portrayal of Spenser, which he took over from the upbeat Robert
Urich. He slept there, too.
Why is Charles Durning in and out of a wheel chair? Is this supposed
to be a comic diversion? Is a comic diversion applicable in stories
about the Supreme Court of the USA? As if that isn't enough of
a misuse of a good actor, he is being asked to recite limerick
doggerel thereby transcending his thought acumen. A positive
suggestion: When Marcia Clark was a guest, I looked forward to
her trying her hand at drama. Instead we saw her just standing,
talking to the court.
Suggestion: Suppose the dialogue and scenes among the clerks
was supplanted by scenes of background business with the lawyers
who are going to present their cases to the court. We could be
privy to the nervousness, the plans, the strategies leading to
the arguments that these lawyers will promulgate as they face
the final judgement. Such scenes would be tossed against the
back room processes of the justices. My bottom line is that viewers
have come to see the process of this august group, and should
be accommodated as they watch justice at work, rather than, in
the case of the young turks and turkettes, work at justice. It
may also be that the writing staff should be augmented with one
or two over 50 years.
| Comment
on Judith Grant's article: The Shield |
From: Miss Lisa found us through: World of mouth.
I read your article on "The Shield". As morally irresponsible
as you claim it is, the fact is that it is probably the most
realistic Criminal Justice show that has ever been on t.v.
| Comment
on linda f. harrison's article: Barbershop: Going...Going...Gone. |
From: Walter Harris
Gavin found us through:
Random surfing.
This is a comment on the article: "Barbarshop" and
it goes like this: What does the film Barbarshop hve to do with
the theme of the site which is "picturing justice?"
There was no correlation in the review to the concept of justice
at all. We definately need films and all types of media that
deal with the concept and theme of justice particularly with
regard to the concept of "race" as experienced in America
(see below). A Just Society. So long as we continue to view ourselves
as members of different "races" we can never have a
truly just society. We are all runners in the same race, The
Human Race. As individuals and as groups we are all running this
race differently based upon criteria that has either been established
for us or that we embrace on our own accord. Those who benefit
from the status quo, whose position vis-à-vis the social
strata permits advantages to be accrued not based upon any objective
value, but by way of group membership, will be resistant to any
notion that challenges their basic assumptions. But challenged
they must be. Likewise those for whom their group identity has
traditionally placed them in less advantaged circumstances, whose
"racial" affiliation has overtime become a source of
strength an axis point for struggle, resistance and protest must
redefine or reacquire a new perspective.
To carry that message we need media projects, which are dedicated
to breaking down cultural barriers. To fostering individual traits,
which transcend group identity and affiliations. A media, which
acknowledges differences, uniqueness, values diversity (which
is after all is a natural occurring phenomena that we constantly
overlook) yet at the same time focuses on our commonalities,
shared dreams, shared visions.
The Human Race is an intercultural journey. The Gavin Media Institute
supports that notion and seeks to project this idea through its
programs and services. Race Across America is the major on-going
initiative to change the meaning of "race" in America
from one of a pre-determined and concrete state to a participatory
event, namely human existence.
Walter Harris Gavin, Executive Director, The Gavin Media Institute
www.raceacrossamerica.com.<PHONE_NUMBER>. PO Box 16015, Alexandria,
VA 22303
| Comment
on Taunya Lovell Banks' article: Bowling for Columbine |
From: Arthur A. Busch found us through: Random surfing.
I read the review of Bowling for Columbine. Obviously Professor
Banks gets it! The connection she has drawn in the review of
Bowling for Columbine is exactly what I was hoping would be picked
up by the media in its analysis of the film. Until that little
girl was shot, I had no idea that there was any connection whatsoever
between these gun nuts and racist folks. By the way I am the
prosecutor who appears in the movie. As I lecture to local college
students, it is interesting to see the perplexed faces when a
white prosecutor talks about the issues of race, guns and law
enforcement and how I am part of a system that is institutionally
racist. Professor Banks raises a point which I also made in the
movie. Gun safety programs seemed aimed at disarming the black
community while white people run to gated communities encircling
the inner cities armed to the teeth with automatic weapons. That
same energy to encourage disarmament of suburbia is non-existent
even though this is where the ammo is located. In fact, while
we white people hate to admit it, this is happening across our
country in nearly every major city. The intellectual fuel of
the gun movement in America is found with NRA's nutty friends
in the racist hate movement. Only David Duke and David Horowitz
could use the killing of a 6 year old school girl to illustrate
their twisted ideas that it was liberal coddling of black people
not the reckless storage of firearms that was responsible for
this senseless killing. It is easy for people to dismiss Michael
Moore's style as not polite or grating but it is impossible to
dismiss the things he has discovered with a camera and a microphone.
The American icon, Charlton Heston is without his script and
you can see exactly what his real character is for yourself.
He is a man who seems more interested in his rather strange view
that America was a product of "old white men" than
to see what America is today, a melting pot and a beacon to the
world of hope. The Professor, has done a wonderful job of reviewing
this film and her observations are right on target.
| Comment
on Christine Corcos' article: What Happened In Greenwich (Murder
In Greenwich) |
From: Kensey found us through: Link from other
site.
I believe that the movie did portray her tragedy, but with the
same concept of you it should have not been told in her perspective.
She is the one that was murdered and the whole movie should be
based around the night she died to when Michael was sentenced.
It is a great movie, but more attention was paid to Michael after
her death.Thank you for the time and your views. They really
helped me with my English paper.
| Comment
on Michael Asimow's article: About Schmidt--The Movie
That Might Have Been |
From: Tim Young found us through:
Random surfing.
I have just finished watching the FILM having just read the BOOK
in Florence on holiday. The FORMER is one of the least interesting
and most formulaic thing I have ever seen. The LATTER was one
of the most playful and clever pieces of American fiction since
Catch 22 or Bonfire of the Vanities. What silly
people these Hollywood chaps are. I completely agree with your
article. What a waste of a wonderful thing. I feel cheated. Yours,
Tim Young
From: Norm Blumenthal found us through: Random surfing.
I have not read the book, but intend to. I am retired and a widower
suffering the same loneliness, daughter marrying out of the faith
(I am Jewish), few friends left, etc. I'm old enough to have
seen and treasure film classics. This film, however, is special,
and has continually (since
I saw it several months ago) hit home with me. I cannot strike
it from my mind. The latest real-life incident: The other day,
I was emptying my file cabinet of proposals and ideas that span
a lifetime.
Immediately, the scene in the film in which Schmidt notices the
boxes representing his years of contributions to his firm relegated
to the garbage pile. You've got to be old enough to understand
the sadness and feeling of futility. More and more, I recall
how similar the film is to real life -- my life. As an aside,
my daughter shares my feelings. Even though we treat it lightly,
we know it is a true depiction we both understand.
| Comment
on the articles about the movie " Evelyn" |
From: Laura Sawtell found us through: Search Engine.
After having watched the movie Evelyn I was interested
in the accuracy of the depiction of the film as well as the issues
brought up in the film. The article gave an objective view of
the main issue, how much power governments should have with regard
to the family. As well, it cited other films, similar situations
in other countries and some other information around Evelyn's
story. Thank you for an interesting and informative article that
fed my thirst for information when most needed.
From: Sandi Griffin found us through: Link from other
site.
First, thank you for sharing some of the real legal issues involved
in this case. Very interesting. I agree that the lawyers working
pro bono seems most heroic, and in fact the world would be a
better place if more lawyers put their hearts into their cases.
If there are any on this earth that
still do that....I have not heard of them. The legal system has
turned into "he who has the most money for the best lawyer
wins". BUT, I think the BEST of the movie begins when Doyle
gives his explanation of The Holy Family, not consisting of Mary,
Joseph, and Jesus, but of the Father, Son, and Holy Spirit. And
then of course how he explains his father raised him with the
guide of the Holy Spirit. This scene brings together the ultimate
tear jerker when brought together with the "angel rays".
Put those ingrediants together, and you have the perfect excuse
to grab the tissue box. But not because you're sad, but because
it brings tears of true joy.  THAT is a writers dream.
How many times have you cried because you were so happy? I loved
it! I also enjoyed your review.
Sincerely, Sandi Griffin
From: Theresa
Evelyn's mother was abused by her husband and that's why she
ran off - never intending to be away for anything more than a
couple of days.. but when Doyle threatened her further she feared
for her life. Several times she visited Evelyn in the orphanage
- again at risk to her own life.. and thought Evelyn (and the
boys) would be better off there than with her - she had NO rights
in Irealnd at that time - women who choose to flee the marital
home had very few allies either with the law or the church. Also
it's interesting that despite the fact Doyle had an affair with
this
English bar maid he is never criticised for this. Also after
the court case he LEFT THREE OF THE BOYS IN THE ORPHANAGE FOR
A FURTHER FIVE YEARS!!!!When Evelyn was reunited with her mother
years later she was welcomed into the family home and NOT rejected
for a second time as she claims. Also three of the brothers lived
with their mother for TWO years - again a fact Ms Doyle seems
to have forgotten -
| Comment
on Shubba Ghosh's article: Leaving The Friedmans Alone |
From: David Friedman found us through: Search Engine.
For Mr. Ghosh, Read your comments regarding the film Capturing
the Friedmans. After reading hundreds of reviews it is refreshing
to read a review from the perpective of the family in question
- mine. Every thought you had is entirely correct. I participated
in the film because Jesse was in prison , being denied parole
repeatedly, and may never have been released (civil incarceration
was looming on the NY front). My feeling is that I wish Mr. Jarecki
had made a film that came down more on the side of innocence.
his ambivalence does not serve my original goals regarding the
film. Your readers should know that I agree with every comment
you made in your article. Thank you for seeing this case in a
reasonable light. Maybe that is because you are more of an attorney
than a film reviewer. Thank you, David Friedman
From: Greg found us through: Search Engine.
 I'm not a college
graduate or even a learned person, but I found your article easy
to read and understand. I guess I suspected something more difficult
given you are a Professor of Law. I find it refreshing when people
of your obvious intelligence write so everyone can understand.
Well done!
| Comment
on John Denvir's article: The Injustice gene |
From: Joel Gomberg
As always, I enjoyed your review. And, as always, I have a couple
of nits to pick. We all respond to injustice, I think. The only
distinction is in how encompassing the response is. My son Ben,
for example, had a highly developed sense of injustice from about
the age of three. This stemmed from his strong belief that the
universe was based on the overriding principle of unfairness
to Ben. He did not extend his concerns about justice to anybody
else. Most of us respond to injustices done to those in our "group"
-- whether defined as family, community, tribe, nation, religion,
etc. Then there are those who are exquisitely sensitive to the
sufferings of others, including members of other species. I don't
think your gene is that potent. OTOH, it seems to me, based on
anecdotal reports only, that many of those endowed with this
metaphorical gene have significant blind spots. Gandhi, MLK,
and Che were all -- no pun intended -- pricks toward women. And
there's that old saying by Tom Paine maybe? about those who have
great empathy toward human kind in general, but who can't stand
individual people. I think we can both think of examples from
CRLA consistent with that observation. And I think of all the
self-appointed Jewish leaders who insist that our holocaust has
to be number one. The Ibo and the Tutsis and all the others just
don't count. Or, their records must have an asterisk. What's
interesting about the tsunami is that we can all be voyeurs in
real time. That's something very new. In the past, we might never
have known about it. Or, if we lived after the invention of moveable
type, maybe we would have heard about it weeks or months later.
I know that your review was about the justice thing, but I wish
you would have at least mentioned the glorious scenery, the Macchu
Picchu ruins, and the extraordinary faces of the people the boys
encountered along the way. Aside from its political content,
the movie is a great National Geographic travelogue.
| Comment
on Dean Hiteman's article: Setting the Stage for Justice in the
Revenge Genre Film |
From: kaeaton
Revenge is not limited
to gender, either. "The Quick and the Dead" shows the
worst of both, greed and power from Gene Hackman, and the mob
rule vengeance of Sharon Stone. Most Western Classics are keen
on cowboy idealism, which I believe was the basis of its popularity
as a genre: the good winning out over evil, which wasn't necessarily
done by lawbreakers. That truth rules to create society's sense
of guilt and innocence has been perhaps lost, especially in the
legal system. And pent up emotions have been historcally shown
to be the basis of social upheavals. NPR recently commented that
the public interest has been declared unconstitutional.
| Comment
on Taunya Lovell Banks's article: The Heart, The Rule Of Law
And In The Bedroom |
From: Richard Gehl
Just watched the film this morning and went web surfing immediately
after and found your article. I knew shortly after frank's death
that justice would not be served in a court of law. It's a sad
world sometimes and the justice system is not perfect in many
ways. I feel the final outcome in this movie whether it weighed
on Franks parent's lives from then on or not or even other parties
partial to Richard Strout, the kids etc., was the perfect justice
and I would have done the same thing if I were in the same position
in a second, pausing only to reflect on how to do it with out
being caught. Sometimes as we hear in the movies "vengeance
is a dish best served cold" rules the day for the surviving.
| Comment
on Justyna Herman's article: A Civil Action: Is There
Room For Apology in the Adversary System? |
From: Charles Roemer found us through: Search Engine.
I am in the middle of settling my malpractice suit and read Lee
Taft's new article in Annals of Health Law regarding apology
and litigation. A web search led me to your article. I feel encouraged
that these ideas are expressed by young lawyers and given credibility
by someone with the stature of Mr. Taft. I have terminal cancer
and the health system and doctors failed me. I will receive a
monetary award---but in the face of death the amount seems irrelevant
in terms of giving this sad event some meaning. I would like
an apology but have been told that it will not be forthcoming.
I would like the apology---but more importantly I would like
to participate in the analysis of what went wrong and have my
observations heard and respected. Maybe I can contribute to the
prevention of future mistakes? I will copy this article and send
it to the people who are involved---but I don't want to force
anyone into an apology because if it comes it won't feel real.
Thanks
| Comment
on Bruce Peabody's article: Lex, Flies, and Videotape |
From: Anne found us through: Random surfing.
"Great!" This was a phenomenal article. Bruce Peabody
is a great writer. I commend his work on this intriguing piece.
Excellent analysis!
| Comment
on Christine Corcos' article: Single With Children - Kevin
Hill |
From:
Karl McDowell
found us through: Search Engine.
"Great Article". I enjoyed your article about Kevin
Hill and agree whole-heartedly that the advertising did not hit
the nail on the head for this show. Why I have decided to respond
to your article is because Kevin Hill is being cancelled and
I was hoping that you could help. I have emailed the UPN network
and also signed an online petition to try and help save the show
from cancellation. I was hoping you could do the same and maybe
write an article asking your readers to help save the show as
well. I am an African American male and like the fact that we
are shown in a positive light on Kevin Hill. I appreciate your
time. Sincerely, Karl McDowell
| Comment
on Taunya Lovell Banks' article: Will the Real Judge Stand Up |
From:
Cameron
found us through: Search Engine.
I was wondering exactly how "real" court shows were,
so I did a search for an article on it. Luckily I found yours.
The points generated in the article seemed as if they were stolen
from my mind and displayed in front of me, as if to say "you
already know the answer." It was just amazing. I thought
I was the only one who noticed that the judges were different
then the baliffs. In a nutshell, great article.
| Comment
on Michael Hoffheimer's article: Veer-Zaara: Love and
law in Bollywood |
From: Catherine found us through: Link from other
site.
I am very impressed with the way this article has increased my
knowledge and appreciation of the film. Thank you
From: Jose Thomas found us through: Link from other
site.
Hi Mike ...interesting article..somehow you failed to empathise
with zaaras fiance...He was the most realistic character in the
film..However comin to the point..I was saerching for the poem
veer narrates in the court..Prisoner#786( there goes bollywood
dripping religious syrup over cliched symbols..ha ha ha !!!!)
CAN YOU EMAIL ME THAT POEM OR AT LEAST A LOOSE TRANSLATION.....Do
see andhaa kanoon and inzaaf ka tarazooo.. they do have typical
bolly legal stuff... thank you... another cliche but true in
bollywood THE LAW IS AN ASS...do send me that poem or the translation
bye 4 now JOSE TORONTO CANADA
Jose, Thank you for your comments
on my article. You make an excellent point about Z's fiance.
(Not only a credible character but a very fine performance!)
Surely the filmmakers do not mean for us to sympathize with the
character. (Empathize maybe.) I don't have a translation for
Javed Akhtar's poem. The English subtitles paraphrase it, and
the original is included with the CD booklet. Here is a website
that transcribes it. http://nileshbabu.com/v2/veer-zaara/. Do
you know Hindi or Urdu? A friend tells me he liked come of the
original lyrics better than the ones created for the film. M.
Hoffheimer
| Comment
on Stefan Machura's article: EIGHT O'CLOCK WALK - A Timeless
Plot |
From: Mary Atwell
I wasn't familiar with this film. Wish I had known about before
I published EVOLVING STANDARDS OF DECENCY: POPULAR CULTURE AND
CAPITAL PUNISHMENT (Peter Lang, 2004). I think the issue of how
often the capital system "gets it wrong" is a pretty
powerful theme in many movies, making them an excellent discussion
starter in classes.
| Comment
on John Denvir's article: Bush's Savage War |
From: Uriel Wittenberg
The most significant element here, which the article largely
neglects, is represented in the first sentence: "Movies
not only entertain, they instruct." That popular culture
may have inspired Bush's "savage war," or helped him
sell it, is not the scariest thing. What's most scary is that
the violence, and increasingly, the torture, with which mainstream
media entertains the masses, is shaping, affecting, directing
our culture. The result is worse for us than a "savage war."
It's a savage culture, a savage society, and a savage future
for everyone.
|


Merchant and hotelier Allison Willits first conceived the idea of a private school to improve local commerce. With the aid of Methodist minister George B. Bowman, he obtained 20 acres of land atop the hill for the campus. In 1853 the Iowa Conference Seminary opened for classes with 161 students.
By 1857, with the name changed to Cornell College in the hopes of attracting New York businessman William W. Cornell as benefactor, the school had built two brick buildings: Old Sem and Old Main. Enrollment was nearly 300.
The college prospered. Extensive use of locally produced brick and limestone can be seen both on and off campus. It is interesting to note the use of native limestone in the town's most prominent ecclesiastical buildings - the landmark King Chapel (1876), First Presbyterian Church (1895), and First Methodist Church (1899), which remain largely unchanged today.
On campus, Old Sem and Old Main are used daily. Other structures of note include the Eastlake Victorian Bowman Hall (1855), and the Beaux Arts style of Norton Geology Center (1904) as well as McWethy Hall (formerly Alumni Gymnasium - 1909)
Cornell has its own historical walking tour guides and brochures. Copies are available at the college Commons, Old Sem and Wade House (Admissions).


--- layout: post title: Getting a New App Running on Edge categories: [] author: wycats published: true date: 2010-01-01 03:03:00.000000000 +00:00 ---
(cross-posted from Yehuda’s Blog)
So people have been attempting to get a Rails app up and running recently. I also have some apps in development on Rails 3, so I’ve been experiencing some of the same problems many others have.
The other night, I worked with sferik to start porting merb-admin over to Rails. Because this process involved being on edge Rails, we got the process honed to a very simple, small, repeatable process.
$ sudo gem install bundler
$ git clone git://github.com/rails/rails.git $ cd rails
$ gem bundle --only default
$ ruby railties/bin/rails ../new_app --dev $ cd ../new_app
Everything should now work: script/server
, script/console
, etc.
When you execute rails APP_NAME --dev
, it will create a new Rails application with a Gemfile pointing to your Rails checkout and bundle it right after.
Also notice that in Step 3 we pass --only default
to the bundle command. This will skip bundling of both mysql and pg (for postgresql) gems.
Enjoy!
Updated on 01/15/2010 – Rewrote steps to include gem install bundler
and use rails APP_NAME --dev
.


Time And Habits
Fireside Reflections
TechBlog Pt1
TechBlog Pt2
Emotional Intelligence - Ch1
Nowhere
My Web Development
Journey


Clark considered leaving Newcastle to keep international career alive
The defender was frustrated at his lack of opportunities.
Ciaran Clark has admitted he might have left Newcastle this summer as he sought the game-time to keep his international career alive.
The 30-year-old central defender has burst back on to the Premier League scene in recent weeks, scoring in the Magpies’ victories over West Ham and Bournemouth to cap impressive individual performances after having to remain patient.
However, he has revealed he might not have been around to do so had new head coach Steve Bruce not wanted to have a look at all the players he had inherited from predecessor Rafael Benitez.
“It was something I was thinking about in the summer. I didn’t know what the situation would be at club level with the manager and I’d thought about that a lot.
“Steve came in late into pre-season and there wasn’t much time then to do anything, really, I guess and looking at it, he obviously wanted a chance to look at everyone that he had in the squad.
“I had a chat with him and I said, ‘This season, I’d love to be playing games because I’ve had a couple of years now where I’m in the team and out of the team and it’s a bit hit and miss’.
“He understood that and said, ‘Look we’ll see how the first part of the season goes and we’ll re-assess that come January’.
Clark’s form has been such that he has won a recall to the Republic of Ireland squad and will start Thursday night’s friendly against New Zealand in Dublin, giving him a chance to catch manager Mick McCarthy’s eye once again ahead on Monday’s final Euro 2020 qualifier against Denmark.
He has not played for his country since a 4-1 Nations League defeat in Wales in September last year and is relishing the opportunity to pull on the green shirt once again after admitting his frustration at not making the squad.
He said: “It’s hard, but that’s just football, you know? If you’re not playing games regularly, then it’s hard to justify being picked.
“It’s frustrating and disappointing, but it gives you that motivation to keep working hard day in, day out and trying to force your way back into it at club level to then to try to get into the squads.”


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| Notes:
1. The data for removals and fellings relate to calendar years. For simplicity, it is assumed that felling activity is similar throughout the year and that the figures for financial years are similar to those for calendar years.
2. No data are currently available on catastrophic losses, although such losses are expected to be very small.
3. Components may not sum to totals due to rounding
Sources: National Forest Inventory (Forestry Commission, 2011); Woodland Area, Planting & Restocking - 2015 edition (Forestry Commission, 2015); UK Wood Production and Trade: 2014 provisional figures (Forestry Commission, 2015);50-year forecast of softwood timber availability (Forestry Commission, 2014); 50-year forecast of hardwood timber availability (Forestry Commission, 2014); Timber Price Indices: Data to March 2015 (Forestry Commission, 2015). ONS calculations
|


We currently only cover Central London. More locations coming soon!
We waste 1.3 billion tons of food every year, a third of our global production, and for silly reasons ranging from cosmetic standards for farm produce at the early stage to cloudy use-by-date practices at the late stage. Why couldn’t it be otherwise? Why not bringing edible food back to where it belongs, our homes, our tables?
At Sincuru, we profoundly believe it should be the case. So we recover that food, curated it carefully, and deliver it to your community. Simply. Getting your farm produce will be enjoyable again, and you’ll effortlessly shop with a cause!
×


Install
JavaScript Modules
chessboard-element is distributed as unbundled JavaScript modules, and imports its dependencies like LitElement with "bare" module specificers. These types of import specifiers are not supported natively by web browsers yet, so some small amount of tooling is neccessary to transform bare specifiers into paths so that browsers can load the element.
See How to Publish Web Components to NPM for details on why chessboard-element is published this way.
Bare module specifiers are extremely common in the npm ecosystem, so tool support is very good. Tools that support bare module specifiers include:
- Rollup
- es-dev-server
- unpkg.com
- Parcel
- Pika
- Webpack
NPM
chessboard-element is available on npm under the package name chessboard-element
{% highlight "bash" %}npm install chessboard-element{% endhighlight %} Once installed locally, you'll need to load or import the element definition. You can do this from JavaScript or HTML:JavaScript / TypeScript
{% highlight "js" %}import 'chessboard-element';{% endhighlight %}HTML
{% highlight "html" %}{% endhighlight %} Note thetype="module"
attribute is required.
The /node_modules/chessboard-element/index.js
path must be adjusted to the path you serve
your node_modules
from, and the modules must be transformed to rewrite the bare specifiers.
Content Delivery Network
You can use chessboard-element via the unpkg CDN with the following links: {% highlight "html" %} {% endhighlight %}
unpkg.com with the ?module
parameter automatically rewrites import
specificers to the correct paths, so everything will load in modern
browsers.
If you want to use the bundled build, you can, without the ?module
parameter:
{% highlight "html" %}
{% endhighlight %}


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User Name: @email
Best Regards,
Department of Solid Waste
<EMAIL_ADDRESS>City of Miami, Solid Waste Department
1290 NW 20th Street
Miami, FL, 33142
Telephone number:<PHONE_NUMBER>
Commercial Solid Waste Franchise Agreement Liaison number is<PHONE_NUMBER>
Facsimile number:<PHONE_NUMBER>
Office Hours: 8:00 AM - 5:00 PM (Monday - Friday)


English with Russell is a freelance English service that strives to make learning fun and effective through a combination of individually designed English programs and a fun and engaging learning environment. English with Russell does not stick to one method or another for teaching, but uses a combination of several based on an individuals most effective or preferred learning conditions
Lessons take place at various locations and can be for individuals or small groups. Skype lessons are also available!
If you are interesting in learning more, send me a message!
Individual
Every lesson program is centered around the students learning habits and goals. One way a student can keep track of their progress is reviewing their own interactive Mind Map. After each lesson, the teacher will add to their current mind-map to allow students to build associations and remember others when the lesson is over.
To see an example of this, look at Wolfgang Thomman's Mind Map. Our imaginary student only cares about two things; coffee and cars. But he will learn all of the grammar structures and vocabulary he needs to succeeded in the English world through his interests!
Effective
THere are many methods of teaching English out there. I have read, studied and used many of them and can tell you that there is no universal way to learn a language. Everybody is different and the wrong method for that individual will lead to ineffective learning. I have found the best method to be a blended method of ways that work for the individual....you!
Some potential learners thing they are too old or too busy to learn a new language, but this just isn't true. The best time to learn a language is always now! Whether you are a quick learner or slow, we will work together to create a blend of time tested methods tailored around your schedule and learning style. Ready to begin? Contact me
Fun!
Fun and humor not only makes learning more enjoyable, but it actually allows connections made in your brain to be stronger! If you are not enjoying what you are studying, then you probably will not retain as much of it afterwards. This is the cornerstone of Pangea English. By always communicating in English, you will learn organically through necessity by speaking about things that you feel passionate about.
I am a Native English speaker from the great state of Maryland in the USA. As a former teacher of Montgomery County Public Schools, I gained years of experience teaching wide range of learning styles and ages.
I am TEFL Certified and have received training by Berlitz Language School, Inlingua and work with English Schools such as Educom and Linguarama. I understand how to utilize modern and effective English learning concepts and tools to help students reach their goals.
My interests outside of English teaching are wide including Travel, Psychology, Frisbee, Music, Audio Programming, Interaction Design, Linguistics, Coffee, Astronomy, Cooking, and Gastronomy.
What are your interests? Let me know and lets start learning English together talking about the things you love!


home
services
portfolio
impact
our team
contact us
home
services
portfolio
impact
our team
contact us
contact us
LET'S WORK TOGETHER TO BUILD INNOVATIVE PRODUCTS
We are always open and available to help answer your questions and provide more information.
Let's work together and build innovative products.
Your Expected Budget
$25001 - $50000
$50001 - $100000
$100001 - $200000
$200001+
Email
<EMAIL_ADDRESS>Phone Number
(323) 240-4737
Office
3655 South Grand Ave.,
Los Angeles, CA 90007 Ste. 220
Facebook
@txtlabs
Twitter
@txtlabs
LinkedIn
linkedin.com/in/TXTLabs/
Instagram
linkedin.com/in/TXTLabs/


---
layout: landing
title: English
lang: "en"
str:
meta:
title: "PA GUN MA RUN"
description: "Let's Join the Run on Oct 27, 2019, Faculty of Medical Technology together with The International College, Prince of Songkla University, organize PA-GUN-MA-RUN Project on the purpose of raising funds to support students with good academics performance but lack of financial resources, and moreover to supply tools and equipment for educational purposes."
keywords: "Run, PA GUN MA RUN, psuic, medtec"
general:
days: "Day"
hours: "Hour"
hoursShort: "hrs."
minutes: "Min"
seconds: "Sec"
raceTitle: "PA-GUN-MA-RUN"
kmShort: "KM"
superMiniMarathon: "Super Mini Marathon"
funRun: "Fun Run"
funRunStudent: "Fun Run (Students)"
groupRun: "Fun Run (PA-GUN-MA-RUN)"
raceDate: "27 October 2019"
baht: "THB"
price: "Entry Rate"
menu:
home: "Home"
info: "Race Info"
status: "Registration Status"
notifyPayment: "Payment Notification"
contact: "Contact Us"
register: "Register"
hero:
tagline: "PA-GUN-MA-RUN #1: Transformation Run 2019"
registerButton: "Register Now!"
countdown:
title: "Keep fit, Get ready and Let's run!"
info:
title: "Race Information"
tagline: "It works, so we share. Let's Join the Run!"
description: "Faculty of Medical Technology together with The International College, Prince of Songkla University, organize PA-GUN-MA-RUN Project on the purpose of raising funds to support students with good academics performance but lack of financial resources, and moreover to supply tools and equipment for educational purposes."
buttonMap: "Race Venue
and Courses"
buttonAgeRange: "Age
Categories"
buttonReward: "Prizes"
buttonMedal: "Race Shirt
and Medal"
buttonPrice: "Fee and
Payment"
buttonPayment: "Payment
Notification"
map:
title: "Race Courses"
medal:
title: "Race Shirt and Medal"
ageRange:
title: "Age Categories"
categoryMale: "Male"
categoryFemale: "Female"
superMiniMarathon:
male:
- "19 & Below"
- "20 – 29"
- "30 – 39"
- "40 – 49"
- "50 – 59"
- "60 & Over"
female:
- "29 & Below"
- "30 – 39"
- "40 – 49"
- "50 & Over"
funRun:
male:
- "29 & Below"
- "30 – 39"
- "40 & Over"
female:
- "29 & Below"
- "30 – 39"
- "40 & Over"
groupRunFunRun: "PA-GUN-MA-RUN Team Challenge
(Maximum 5 persons)
No age limit
Every team member completes the course together at the same time."
groupRunSuperMini: "PA-GUN-MA-RUN Team Challenge (3 persons)
No age limit
Every team member completes the course together at the same time."
reward:
title: "Prizes"
description15k: "The 1st - 5th finishers
of each Age Categories
both Male and Female"
description4k: "The 1st - 3rd finishers
of each Age Categories
both Male and Female"
groupRunRewardTitle: "PA-GUN-MA-RUN Team Challenge"
groupRunDescription: "The 1st - 3rd teams to complete the course
"
specialRewardTitle : "Special Prizes"
healthCheck: "FREE Check Up
for Lipid Panel"
photoService: "FREE Photo Session
and Print"
specialRewardRuleTitle: "Special Prizes Conditions"
specialRewardRules:
- "The first 30 finishers of Super Mini Marathon and Fun Run races (regardless of Age Categories)."
- "The first 10 team finishers of PA-GUN-MA-RUN Team Challenge (excluded from the 30 finishers of individual races) on the condition that every member completes the course together at the same time."
price:
title: "Registration Fees"
tagline: "Race Entry"
category: "Categories"
subTitle: "Race Pack"
medal: "Medal"
bib: "Race Number (BIB)"
shirt: "Race Shirt"
receipt: "Receipt"
runRunStudent: "(Student Rate)"
vipDesp: "VIPs can participate in any races"
noteStars:
- "* Every finisher who completes the course before the time limit will receive the medal at the finish line."
- "** VIP registration receipt can be used for TAX deduction."
specialRateTitle: "Super Early Bird Rate (1 May - 15 June 2019)"
rateTitle: "Regular Rate (16 Jun – 31 August 2019)"
noteTitle: "Remarks:"
notes:
- "10% discount for the first 100 team registration for PA-GUN-MA-RUN Team Challenge"
- "After submitting the online application, the payment must be made within 48 hours to get the registration confirmation"
cutOffTimeTitle: "Distance / Start Time / Time Limit"
startTime: "Start Time"
timeLimit: "Time Limit"
PaymentTitle: "Payment Method"
step1: "You can make your payment either by:"
step1_1_title: "By cash"
step1_1_description: "at Faculty of Medical Technology Office, Prince of Songkla University"
step1_2_title: "Bank Transfer"
step1_2_description: "โครงการ PA-GUN-MA-RUN (พา-กัน-มา-รัน) ครั้งที่ 1
SCB Bank Account
No. 565-499915-6"
payment:
title: "Payment notification"
registerStatus: "Check your Registration Status"
step2: "You can send your payment slip via:"
step2_1: "Checking Your registration status from your ID from here"
step2_2: "Click \"Payment Notification\" and upload your slip"
step2_3": "You can send the payment slip via"
step3: "The payment will be verified within 3 working days. Then, you can check your registration status at"
step3Rest: "by typing in your ID number"
contact:
title: "Contact Us"
socialTitle: "STAY CONNECTED"
---


{{response.title = "Changing password" }} {{extend "layout.html"}}
Password successfully set.
Old [SLOTS] password:
Do NOT use your Eve password. Use a different one.
New [SLOTS] password:
New [SLOTS] password (re-enter):


Bill de hÓra has a good post on Subversion branching practices.
So here's a Python-specific quandary: how should tagging happen exactly?
Into the buildutils svtag command I've built this process:
It ends up being three commits, which is a little annoying. And, technically, I'm editing a tag, even if it is a very minor edit.
Another issue -- do people have any particular tricks for keeping their checkouts up to date? I just have a shell script that does an svn up for each directory, and another for doing svn stat -u on all my "active" projects. But I don't use the scripts as regularly as I should, nor do I keep the list of active projects up to date. And it's all kind of vague anyway -- I run lots of things from svn checkouts even if I am not necessarily tracking every development on the project.
I'm also curious about tools built on Subversion for handling branches better. One of the commenters points to Subclipse, which uses a property to track tags. But it doesn't seem to describe what exactly it is doing and what that tag means. svk also uses a special property for tracking merges, which is probably better documented. I'm curious how half-heartedly I can use svk (this page isn't actually that helpful) -- can I just use it as a better frontend to Subversion? Will it work okay if other developers aren't using svk?
Indexing of repositories and general tracking also remains relevent, both locally (what do I track?) and globally (what versions of things exist out there?)
Incidentally, I would be very interested to hear how exactly people are using svn (or svk) on their machines. Like, the play-by-play of every non-obvious command they use, script they have, or whatever.
A while ago I wrote a entry called Subversion is a gateway drug. In general, my version control needs were fairly modest, and I tried to keep them that way. However, for some recent projects we have 2 to 3 people modifying code, and have the code in a few different versions. I had to do some branching to fold in changes to the stable version while doing development changes as well.
I found that, in general, even with cvs2svn doing the wrong thing with non-text files, it was easier to convert from CVS to SVN and branch, than to branch the CVS. I always ended up running problems with "branch is not a sticy tag" that I couldn't get resolved...
However, once I had branches, I started wanting to use them, and found that merging between branches was quite painful. I really have to have at least two branches, with all changes from one being merged into the other, and sometimes going the other direction when changes are ready. Really I want a tree of branches where changes at a higher level flow down to a lower level. That would be ideal.
I was looking at other systems, and finally with the help of Jeremy Hinegardner and Duncan McGreggor, I switched to darcs, and have been liking it.
Basically, with darcs, you can check out one working tree into another. Each of these is a self-sufficient repository. The repositories can be local or remote. So, I can have a parent repository and then children can "darcs pull" from their parents. I can also cherry-pick patches to push back up-stream. For me, that's a much less frequent thing, so that can be much more difficult. It's keeping the children up with the parents that happens frequently.
I like that I have a full local copy of the repository. It makes doing releases insanely easy and fast, plus I can do commits and tags without needing net access.
However, pushing and pulling from a remote repository can be real slow. Slower than svn at least.
I should try svk at some point. Really all I'd like to see is good branch merging support. I know you can do tricks to follow branches, but those seem like they require remembering much more and are more prone to errors.
Sean
svk works fine as an svn frontend. You don't even need to use the local mirroring stuff if you don't want to (though it is handy). Merge tracking (via smerge) is a godsend. I've found it's pretty smart about doing the right thing even when the other committers are using straight SVN.
The thing to keep in mind is that it's not a substitue for good repo practices. You still want branches, etc (treating your local mirror like a private branch just isn't a good idea).
I wonder if you could avoid the need to edit tags via clever use of SVN keywords & a little python string transformation?
# Peter Fein
I use svk exactly for that: a better branch merger. I usually keep local mirrors and merge between those (I keep my own branches in my own SVN repositories for upstream stuff, so that I can easily keep local modifications). So svk is a real godsend for any way of forking, even if it is just for your own convenience. Actually I _only_ do the merging and fork-handling in svk, everything else is done with standard svn - that's mostly because svk is dog-slow on my OS X machines.
I tried using svk as a front-end to Python's svn repository (as recommended by Fredrik Lundh on his blog), but after bizarre error messages (it's not that often that I see Perl tracebacks) I decided that whilst tools like bazaar are also badly documented, at least they manage to complete operations in the advertised "how to" documents without crashing inexplicably.
Personally, I wish that the developers of "next generation" revision control systems would spend some time writing documentation, rather than leaving it to others to write terse command sequences that "worked for them", or just referring everyone to the tool that inspired the latest effort.
You can reduce this process to two commits (and not have to edit the tag) by including the version bump during the branch copy. Check out a clean version of trunk, modify the version number locally and make your src '.' while doing an svn copy. You'll get a clean commit like this: http://www.hellanzb.com/trac/hellanzb/changeset/551
# Philip Jenvey
Thanks, that would save the need for a checkout of the tag as well.
In theory it should be doable with one commit, but I don't know how to actually do that without having an actual checkout of the tags directory, which is not really feasible.
# Ian Bicking
The technique I've used most is to have a 'make-release' script that takes the repository path or tag, picks the version out of the path or tag, exports the project, inserts the version into the right places (setup.py here), and creates the release tarball and whatnot. I have an older version of the script (my pre-Python days!) with a CVS mini-HOWTO with the whole release process, http://bitsko.slc.ut.us/~ken/make-rel/
buildutils has several of these features, though I haven't used them all (I use setuptools' PyPI uploading, and don't bother with the announce feature in buildutils either).
I actually want the checkout to be usable -- which means a proper version (which becomes much more important with setuptools and python setup.py develop), so the version fixup has to happen in the repository, not just at build time. There's still versions in the documentation, though. Some of these are unresolveable by any automated process (e.g., NEWS).
Anyway, with buildutils it's a pretty clean release process:
python setup.py svntag --version=0.4.1 --next-version=0.4.2 cd ../Package-0.4.1 python setup.py register python setup.py sdist upload # Then the documentation: python setup.py pudge publish# Ian Bicking


Table of Contents
Heroku is a cloud-based, fully-managed platform as a service (Paas) for building, running, and managing apps. The platform is flexible and designed with DX support for you and your team’s preferred development style and to help you stay focused and productive.
Developers, teams, and businesses of all sizes use Heroku to deploy, manage, and scale apps. Whether you’re building a simple prototype or a business-critical product, Heroku’s fully-managed platform gives you the simplest path to delivering apps quickly.
With features like Heroku Runtime, Heroku Postgres (SQL), Heroku Redis, Add-ons, Data Clips, App metrics, Smart containers, Enterprise-grade support, GitHub Integration and lots more, Heroku gives developers the freedom to focus on their core product without the distraction of maintaining servers, hardware, or infrastructure.
One of Heroku’s core feature is deploying, managing, and scaling apps with your favorite languages [Node, Ruby, Python, Java, PHP, Go and more].
In this article, I’ll show you how to take an existing Node.js app and deploy it to Heroku. From creating your Heroku account, until adding a Database to your deployed application.
Prerequisites
In my previous article, I wrote about “Building a SlackBot with Node.js and SlackBots.js” and I promised to write a follow-up article to show how to host the SlackBot on either Heroku, Zeit or Netlify and publish it to the Slack Apps store. Well, this is the follow-up article but without the “Publishing to Slack Apps” part, we’ll cover that in another article.
I assume you have/ know the following already:
- Read my previous article
- Built the inspireNuggets SlackBot
- Git installed
- Node and npm installed
- A free Heroku account
- Heroku CLI installed
Bonus
If you don’t have npm, Node and Heroku CLI installed or a Heroku account already here’s a quick bonus [ Yes, you’re welcome :) ].
Installing npm and Node
Node.js is a JavaScript runtime built on Chrome’s V8 JavaScript engine.
npm is the package manager for Node.js. An open-source project created to help JavaScript developers easily share packaged modules of code.
You can simply download Node.js here. Don’t worry, npm comes with Node.js, so doing this installs both ✨
Creating a free Heroku account
Kindly head here and fill the Signup form, it’s pretty simple.
Installing Heroku CLI
The Heroku Command Line Interface (CLI) makes it easy to create and manage your Heroku apps directly from the terminal. It’s an essential part of using Heroku. [ Well, you can decide to use the GitHub integration feature and Heroku Dashboard but yes you should learn how to use the CLI ]
Heroku CLI requires Git, the popular version control system. If you don’t already have Git installed, I wrote this article to help you.
Heroku CLI for Mac OS
brew tap heroku/brew && brew install heroku
Heroku CLI for Ubuntu
sudo snap install --classic heroku
Heroku CLI for Windows
Download the installer for 64-Bit or 32-Bit.
Other installation methods
Please read this.
Getting started with Heroku CLI
- Verify your installation
heroku --version
heroku/7.30.1 linux-x64 node-v11.14.0
- Login to your Heroku account
There are two ways to do this:
- Web based auth
heroku login
Follow the instructions and login via your web browser then return to your terminal.
- CLI auth
This is a safer option as it saves your email address and an API token to ~/.netrc
for future use.
heroku login -i
Deploying your Node.js App
I presume you’ve built the SlackBot already, if you haven’t, please clone the finished project.
The project is a simple Slackbot that displays random inspiring techie quotes and jokes for developers/designers.
git clone https://github.com/BolajiAyodeji/inspireNuggetsSlackBot.git && cd inspireNuggetsSlackBot
Now let’s deploy our app to Heroku 🎉🎉. I’ll show you two ways to do this:
Deploy via the Heroku Git
This is done via the Heroku CLI.
☑ Checklist
- Specify the version of Node.js that will be used to run your application on Heroku in your
package.json
file.
"engines": {
"node": "10.16.0"
},
- Specify your start script. Simply create a
Procfile
(without any file extension) and add
web: node index.js
Heroku first looks for this Procfile. If none is found, Heroku will attempt to start a default web process via the start script in your
package.json
.
- Start your app locally using the heroku local command to be sure everything works fine
heroku local web
Your app should now be running on http://localhost:5000.
- Don’t forget to
.gitignore
/node_modules
.DS_Store
/*.env
🚀 Let’s Deploy
How this works is, you have the project working on local already and you’ve pushed to GitHub already.
- Run
heroku create
Basically, this command creates a new Heroku app for you with some randomly generated domain and adds Heroku to your local git repository.
- Now run
git push heroku master
This is the magic command, it pushes your app to Heroku, installs it there and launches it on your allocated domain.
In the example above, it’s https://lit-cove-58897.herokuapp.com/
You can always make changes to your app settings and domains in your Heroku Dashboard
- Now visit your app in your browser
heroku open
- You can also view information about your running app using one of the logging commands, this is very useful in debugging errors.
heroku logs --tail
Deploy via GitHub integration
You can configure GitHub integration in the Deploy tab of apps in the Heroku Dashboard.
☑ Checklist
- All previous checklists apply here
- Ensure you have the app deployed to GitHub already
🚀 Let’s Deploy
How this method work is that you push your entire project to GitHub and integrate it to Heroku. Every time you push, it deploys from GitHub to Heroku. Pretty cool right?
- Login to your Heroku Dashboard
- Create a new app
- Select your app name and Region
Now your app is successfully created
- Click the deploy tab and scroll to the Deployment method section
- Click the Connect to GitHub button
- Now you have the Connect to GitHub section, search for the repository and deploy.
- Now your app is deployed successfully
Automatic deploys
Now your app is deployed but you’ll have to keep deploying manually. You need to enable automatic deploys for a GitHub branch, so Heroku builds and deploys all push to that branch.
- Scroll to the Automatic Deploys section
- Select the branch you want to deploy. Ideally, this should be the
master
branch but change this according to your preference. - Now every push to
master
(or the branch you chose) will deploy a new version of this app.
Node.js Buildpack
In Heroku, Buildpacks are scripts that are run when your app is deployed. They are used to install dependencies for your app and configure your environment.
After deploying your app, ensure you add a Node.js buildpack to your project.
- Go to Settings and scroll to the Buildpack section
- Click the Add Buildpack button and select Node.js in the Popup modal.
- Now the new buildpack configuration will be used when this app is next deployed.
- Make some changes to your app and push to GitHub, it will automatically deploy.
Adding a Database to your deployed App
The Heroku add-on marketplace has a large number of data stores, from Redis and MongoDB providers, to Postgres and MySQL.
Heroku provides three managed data services to all customers in the form of Add-ons:
Writing about this three will make this article too long. It’s pretty simple and I’ll add some links from Heroku Docs.
Conclusion
Every Heroku account is allocated a pool of free dyno hours. Heroku (free) dynos are great for hosting apps and personal projects. The downside, however, is that your app will fall asleep if it doesn’t receive any web traffic within 30-minutes :(.
You can use external tools to ping your server periodically so it never falls asleep.
Here are some to consider:
Heroku is meticulously designed to help developers be as productive as possible. The platform removes frustrating obstacles and mundane tasks, so you can stay free of distraction in your development flow. Wherever you are on the learning path, Heroku helps you love app development even more. - Heroku
The Heroku experience provides services, tools, workflows, and polyglot support—all designed to enhance developer productivity. There is more to using Heroku and I hope you explore more and build amazing stuff with Heroku.
If you’re a student, Kindly register for the GitHub Student Developer Pack to get One free Hobby Dyno for up to two years.
The pack give students free access to the best developer tools in one place so you can learn by doing.


{% extends 'clientsideapp/ext.html' %} {% load i18n %} {% block client_main %}
{% blocktrans trimmed %} From your account, they withdraw funds in {{ amount }} rub. As a result, you will remain on your account {{ ballance_after }} rubles. The administrator can immediately see that you shut down the debt. {% endblocktrans %}


WOO-VIES
A Desktop Application for Recommending Movies/TV shows
Login to Woo-vies
Are you first-time user?
Click here to create account
.


Sorry, we currently don't have any course for this faculty in our database.
-- All in {{ country.name }} --
{{ university.name }}
{{ faculty.name }}
0) && !(!showNormalComparator && (queryFaculty || queryUniversity || queryCountry) && externalCourseDescription)">
help


If you feel like you’ve learned something in the past few years I deeply recommend starting a blog, if only to catalog your thoughts.
— Dan Abramov (@dan_abramov) December 30, 2018
I like to have full control over the experience.
export function formatReadingTime(minutes) {
let cups = Math.round(minutes / 5);
let bowls = 0;
if (cups > 5) {
return `${new Array(Math.round(cups / Math.E))
.fill('🍱')
.join('')} ${minutes} min read`;
} else {
return `${new Array(cups || 1)
.fill('☕')
.join('')} ${minutes} min read`;
}
}
Fast in every way that matters
Although many books define the purpose of typography as enhancing the readability of the written word, one of design’s most humane functions is, in actuality, to help readers avoid reading.A Type Primer by John Kane
(demo)
import Typography from 'typography'
const typography = new Typography({
baseFontSize: '18px',
baseLineHeight: 1.666,
headerFontFamily: ['Avenir Next', 'Helvetica Neue', 'Segoe UI', 'Helvetica', 'Arial', 'sans-serif'],
bodyFontFamily: ['Georgia', 'serif'],
// See below for the full list of options.
})
// Output CSS as string.
typography.toString()
// Or insert styles directly into the head (works well for client-only
// JS web apps.
typography.injectStyles()
demo
How dynamic is your content?
Are the changes from content or behavior?
After cooking non-stop for 10/15 hours per day, the last thing you want to do as home is cook your own meal.A Quora Answer
Waking up to a healthy breakfast of #puffedrice #chiaseeds #figs #grapes and #yogurt :))))
We eat well at home. But that's not because Rene cooks. I cook.(quote not exact, taken out from Rene's episode of Chef's Table) Nadine Levy Redzepi, cookbook author, wife of Rene Redzepi, Danish chef and co-owner of a Michelin 2-star restaurant
create some nonsense this weekend❣
Developers' Gym by JuniorDev.SG


{% extends "base.html" %} {% block title %}Settings{% endblock %} {% block content %}
This page lets you view and edit PeepWeather's display preferences and weather parameter ranges that combine to determine how each hour is rated and how it appears. (Customized settings are saved in browser cookies.)
Customizing weather parameter ranges: Percent of precipitation, wind speed, and cloud cover
are broken into three Low
, Medium
, and High
ranges that are
identified by two numbers called v1
and v2
which mark out the
Medium
range. Anything below v1
is High
desirability and anything
above v2
is Low
desirability. Temperature is identified by four numbers,
v1
through v4
, that delineate a "hat" shape where anything below
v1
or above v4
is Low
desirability, v1 to v2
and
v3 to v4
are Medium
, and v2 to v3
is the High
sweet
spot. The edit areas below let you view and change all these values.
For a detailed explanation see:


[ all classes ]
[ opennlp.tools.ml.model ]
Coverage Summary for Class: FileEventStream (opennlp.tools.ml.model)
| Class | Class, % | Method, % | Line, % |
|---|---|---|---|
| FileEventStream | 100% (1/ 1) | 75% (6/ 8) | 66.7% (20/ 30) |
1 /*
2 * Licensed to the Apache Software Foundation (ASF) under one or more
3 * contributor license agreements. See the NOTICE file distributed with
4 * this work for additional information regarding copyright ownership.
5 * The ASF licenses this file to You under the Apache License, Version 2.0
6 * (the "License"); you may not use this file except in compliance with
7 * the License. You may obtain a copy of the License at
8 *
9 * http://www.apache.org/licenses/LICENSE-2.0
10 *
11 * Unless required by applicable law or agreed to in writing, software
12 * distributed under the License is distributed on an "AS IS" BASIS,
13 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
14 * See the License for the specific language governing permissions and
15 * limitations under the License.
16 */
17
18 package opennlp.tools.ml.model;
19
20 import java.io.BufferedReader;
21 import java.io.File;
22 import java.io.FileInputStream;
23 import java.io.FileReader;
24 import java.io.IOException;
25 import java.io.InputStreamReader;
26 import java.io.Reader;
27 import java.util.StringTokenizer;
28
29 import opennlp.tools.util.ObjectStream;
30
31 /**
32 * Class for using a file of events as an event stream. The format of the file is one event perline with
33 * each line consisting of outcome followed by contexts (space delimited).
34 */
35 public class FileEventStream implements ObjectStream<Event> {
36
37 protected final BufferedReader reader;
38
39 /**
40 * Creates a new file event stream from the specified file name.
41 * @param fileName the name fo the file containing the events.
42 * @throws IOException When the specified file can not be read.
43 */
44 public FileEventStream(String fileName, String encoding) throws IOException {
45 this(encoding == null ?
46 new FileReader(fileName) : new InputStreamReader(new FileInputStream(fileName), encoding));
47 }
48
49 public FileEventStream(String fileName) throws IOException {
50 this(fileName,null);
51 }
52
53 public FileEventStream(Reader reader) throws IOException {
54 this.reader = new BufferedReader(reader);
55 }
56
57 /**
58 * Creates a new file event stream from the specified file.
59 * @param file the file containing the events.
60 * @throws IOException When the specified file can not be read.
61 */
62 public FileEventStream(File file) throws IOException {
63 reader = new BufferedReader(new InputStreamReader(new FileInputStream(file),"UTF8"));
64 }
65
66 @Override
67 public Event read() throws IOException {
68 String line;
69 if ((line = reader.readLine()) != null) {
70 StringTokenizer st = new StringTokenizer(line);
71 String outcome = st.nextToken();
72 int count = st.countTokens();
73 String[] context = new String[count];
74 for (int ci = 0; ci < count; ci++) {
75 context[ci] = st.nextToken();
76 }
77
78 return new Event(outcome, context);
79 }
80 else {
81 return null;
82 }
83 }
84
85 public void close() throws IOException {
86 reader.close();
87 }
88
89 /**
90 * Generates a string representing the specified event.
91 * @param event The event for which a string representation is needed.
92 * @return A string representing the specified event.
93 */
94 public static String toLine(Event event) {
95 StringBuilder sb = new StringBuilder();
96 sb.append(event.getOutcome());
97 String[] context = event.getContext();
98 for (int ci = 0,cl = context.length; ci < cl; ci++) {
99 sb.append(" ").append(context[ci]);
100 }
101 sb.append(System.getProperty("line.separator"));
102 return sb.toString();
103 }
104
105 @Override
106 public void reset() throws IOException, UnsupportedOperationException {
107 throw new UnsupportedOperationException();
108 }
109 }
110


Given the prevalence of depression, especially with younger Americans, it is surprising that there are not more tools in place to identify and assist those who need help. This is particularly true online, where there is evidence that indicates social media may actually contribute to mental health deterioration for it's users.
Due to this unfortunate set of circumstances, our team set out to use machine learning and natural language processing in an attempt to identify depression and suicidal ideation. Our tool aims to assist and identify such tendencies and help prevent potential tragedies.
Team members: Allen Partlow, Jenny Chin, Mehreen Seher Hai, and Rommel Angeles.
The dataset used in this project was constructed by extracting user submitted posts from the r/SuicideWatch and r/CasualConversation subreddits found on Reddit.com.
Data was extracted from Reddit using the Reddit API, and PRAW: The Python Reddit API Wrapper. The Reddit API limits calls to only the 1000 most recent posts on any subreddit. To work around this limitation, we performed api calls periodically over a 10 day period for both subreddits. Posts were aggregated and checked for duplicates.
In the end our dataset was comprised of 3412 Reddit submissions. These submissions came out to 549,008 words, 32,288 lines, 2,873,664 characters, or about 705 pages of single spaced 12 point Times New Roman text.
Word cloud for r/CasualConversations
Word cloud for r/SuicideWatch
The data taken from Reddit was classified according to which subreddit and had VADER Sentiment analysis performed on each submission. A training set of data was created separately from the test set. The training set of data was selectively pruned to eliminate exceedingly positive r/SuicideWatch submissions, and exceedingly negative r/CasualConveration submissions. This was done to create higher divergence in the training data. After the pruning process was completed, the data was fitted and transformed using a Spark Machine Learning Pipeline that created features based on TF-IDF analysis and the negative sentiment VADER Sentiment analysis and was vectorized.
Using the newly transformed data, a Naive Bayes multinomial classifier model is trained. This model was used to predict whether a given submission from the test set was posted in r/SuicideWatch or r/CasualConversation. Accuracy was determined to be ~90% +/- ~2%.
Below are some of the challenges and limitations we came across in our project.
Below are some ideas of where this tool can go from here:
If you yourself are feeling depressed or fear that you may harm yourself, please call 911. If you would just like to talk to someone call the Suicide Prevention Lifeline at 1-800-273-TALK (8255)
Many thanks to Reddit and it's users for being the source of our training data.


{{ 'bug-proposal-feature.message' | translate }}
Would you like this site to support your favorite language?
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api list
please use jsonview tools to display response data
rank
(top 50)
tournaments
(tour of year, tour of month, recent tour)
players
player detail
(example, you can implement this api using player url that get from players api)
Stats
Go search
stats type(统计类型)
period(时间)
surface(场地类型)
aces
1st serve
1st serve points won
2nd serve points won
service games won
break points saved
1st serve return points won
2nd serve return points won
break points converted
return games won
all
2016
2015
2014
2013
2012
2011
2010
2009
2008
2007
all
Clay(红土)
grass(草地)
hard(硬地)


Runs a macro when you enter data into any cell on the specified sheet.
Syntax
ON.ENTRY(sheet_text, macro_text)
Sheet_text is a text value specifying the name of a sheet in a workbook. If sheet_text is omitted, the macro is run whenever you enter data into any sheet or macro sheet.
Macro_text is the name of, or an R1C1-style reference to, a macro you want to run when you enter data into the sheet specified by sheet_text. The name or reference must be in text form. If macro_text is omitted, entering data reverts to its normal behavior, and any macros assigned by previous ON.ENTRY functions are turned off.
Remarks
The macro is run only when you enter data in a cell, not when you use edit commands or macro functions.
To determine what cell had data entered into it, use a CALLER function in the macro specified by macro_text.
Related Functions
ENTER.DATA Turns Data Entry mode on or off
ON.RECALC Runs a macro when a workbook is recalculated
Return to index


{% block head %}
$20B+ worth of Apache Open Source software products are made available to the public-at-large at 100% no cost, and benefit billions of users around the world.


In this chapter, you will be learn about how to use functionality from the dplyr package to wrangle your data. Data wrangling is the catchall phrase that includes the processes of cleaning, structuring, and summarizing your data. It is a skill that every educational scientist needs to have in their computational toolkit!
We will use the riverview.csv data to illustrate several data wrangling ideas. The data contain five attributes collected from a random sample of \(n=32\) employees working for the city of Riverview, a hypothetical midwestern city (see the data codebook). To begin, we will load several libraries and import the data into an object called city
.
# Load libraries
library(dplyr)
library(readr)
# Read in data
city = read_csv(file = "https://raw.githubusercontent.com/zief0002/modeling/master/data/riverview.csv")
head(city)
# A tibble: 6 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 8 26.4 9 female Independent
2 8 37.4 7 Not female Democrat
3 10 34.2 16 female Independent
4 10 25.5 1 female Republican
5 10 47.0 14 Not female Democrat
6 12 46.5 11 female Democrat
Recall that functions work by taking arguments as inputs and then producing an output. For example, the summary()
function takes the city
data frame as its input.
education income seniority gender
Min. : 8 Min. :25.48 Min. : 1.00 Length:32
1st Qu.:12 1st Qu.:44.51 1st Qu.: 9.75 Class :character
Median :16 Median :55.83 Median :15.00 Mode :character
Mean :16 Mean :53.74 Mean :14.81
3rd Qu.:20 3rd Qu.:62.72 3rd Qu.:20.25
Max. :24 Max. :82.73 Max. :27.00
party
Length:32
Class :character
Mode :character
We could get the same result by using the piping operator (%>%
). This operator takes a DATA FRAME (given immediately before the operator) and uses it as the FIRST argument in the function that comes immediately after the operator.
education income seniority gender
Min. : 8 Min. :25.48 Min. : 1.00 Length:32
1st Qu.:12 1st Qu.:44.51 1st Qu.: 9.75 Class :character
Median :16 Median :55.83 Median :15.00 Mode :character
Mean :16 Mean :53.74 Mean :14.81
3rd Qu.:20 3rd Qu.:62.72 3rd Qu.:20.25
Max. :24 Max. :82.73 Max. :27.00
party
Length:32
Class :character
Mode :character
Note since the summary()
function did NOT include any additional arguments, we do not include anything between the parentheses after we pipe. Here is another example that illustrate the use of the pipe operator.
[1] 32
[1] 32
The filter()
function from the dplyr package is used to select certain rows from a data frame. For example, the syntax below selects all rows from the city
data frame that have a gender
value of female
. To do this we provide a logical statement as the second argument to the filter()
function.
# A tibble: 18 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 8 26.4 9 female Independent
2 10 34.2 16 female Independent
3 10 25.5 1 female Republican
4 12 46.5 11 female Democrat
5 12 52.5 16 female Independent
6 14 32.6 5 female Independent
7 15 37.3 8 female Democrat
8 16 38.6 11 female Independent
9 16 55.9 22 female Independent
10 16 59.5 20 female Independent
11 17 60.1 10 female Independent
12 18 54.8 20 female Republican
13 18 62.5 16 female Republican
14 19 56.0 21 female Independent
15 20 56.3 22 female Independent
16 20 54.7 12 female Independent
17 21 71.2 26 female Democrat
18 22 56.3 8 female Independent
# A tibble: 18 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 8 26.4 9 female Independent
2 10 34.2 16 female Independent
3 10 25.5 1 female Republican
4 12 46.5 11 female Democrat
5 12 52.5 16 female Independent
6 14 32.6 5 female Independent
7 15 37.3 8 female Democrat
8 16 38.6 11 female Independent
9 16 55.9 22 female Independent
10 16 59.5 20 female Independent
11 17 60.1 10 female Independent
12 18 54.8 20 female Republican
13 18 62.5 16 female Republican
14 19 56.0 21 female Independent
15 20 56.3 22 female Independent
16 20 54.7 12 female Independent
17 21 71.2 26 female Democrat
18 22 56.3 8 female Independent
Here, since the filter()
function included a second argument, we include that argument in the function that the data frame is piped into. What is piped into the function, in this case city
, will be automatically inputted into the FIRST argument.
Here are some common operations that researchers use to prepare data for analysis (i.e., data preparation, data wrangling, data cleaning) and the corresponding dplyr functions.
| Data wrangling activity | dplyr function |
|---|---|
| Select a subset of rows from a data frame. |
filter()
|
| Select a subset of columns from a data frame. |
select()
|
| Add new columns to a data frame. |
mutate()
|
| Sort and re-order data in a data frame. |
arrange()
|
| Compute summaries of columns in a data frame. |
summarize()
|
| Group the data to carry out computations for each group. |
group_by()
|
To select a subset of rows, we will pipe the data frame we want to select rows from into the filter()
function. The argument(s) for this function are logical expressions that will be used to select the rows.
# A tibble: 18 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 8 26.4 9 female Independent
2 10 34.2 16 female Independent
3 10 25.5 1 female Republican
4 12 46.5 11 female Democrat
5 12 52.5 16 female Independent
6 14 32.6 5 female Independent
7 15 37.3 8 female Democrat
8 16 38.6 11 female Independent
9 16 55.9 22 female Independent
10 16 59.5 20 female Independent
11 17 60.1 10 female Independent
12 18 54.8 20 female Republican
13 18 62.5 16 female Republican
14 19 56.0 21 female Independent
15 20 56.3 22 female Independent
16 20 54.7 12 female Independent
17 21 71.2 26 female Democrat
18 22 56.3 8 female Independent
Here we are selecting only the rows where the gender variable is equal to (==
) the character string “female”. Recall that a single equals sign (=
) is the assignment operator and that to say “is equal to”, we need to use two equals signs (==
).
It is a good coding practice to use multiple lines when you are piping rather than putting all the syntax on a single line. When you do this, the pipe operator (%>%
) needs to come at the end of the line. For example, in the code above, the pip operator is at the end of the first line of syntax rather than at the beginning of the second line of syntax. Include a line break after every pipe operator you use.
Note that the output from this computation (the rows of female employees) is only printed to the screen. If you want to keep the filtered data or operate on it further, you need to assign the output into an object.
# Filter the female employees
female_employees = city %>%
filter(gender == "female")
# Count the number of rows (females)
nrow(female_employees)
[1] 18
We could have found the same result exclusively using piping; without the interim assignment.
[1] 18
The first pipe operator uses the city
data frame in the filter()
function to select the female employees. This output (only the female employees) is then used in the nrow()
function to count the number of rows. At is akin to a constant pipeline of chaining functions together; the output of a computation is used as the input into the next computation in the pipeline.
Here we use filter()
to select the employees that have less than a high school level of education and then summarize all of the columns using the summary()
function.
education income seniority gender
Min. : 8.0 Min. :25.48 Min. : 1.0 Length:5
1st Qu.: 8.0 1st Qu.:26.43 1st Qu.: 7.0 Class :character
Median :10.0 Median :34.18 Median : 9.0 Mode :character
Mean : 9.2 Mean :34.11 Mean : 9.4
3rd Qu.:10.0 3rd Qu.:37.45 3rd Qu.:14.0
Max. :10.0 Max. :47.03 Max. :16.0
party
Length:5
Class :character
Mode :character
You can filter on multiple attributes by including more than one logical statement in the filter()
function. For example, the syntax below counts the number of female employees with less than a high school level of education.
[1] 3
Here, when we included multiple logical expressions in the filter()
function, separated by a comma, they were linked using the AND (&
) operator. This means that both expressions have to evaluate as TRUE
to be included. We could also have explicitly used the &
operator to link the two statements.
city %>%
filter(gender == "female", education < 12)
# Is equivalent to...
city %>%
filter(gender == "female" & education < 12)
We can also filter()
using the OR (|
) operator. This means that if EITHER expression evaluates as TRUE it is included.
# A tibble: 20 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 8 26.4 9 female Independent
2 8 37.4 7 Not female Democrat
3 10 34.2 16 female Independent
4 10 25.5 1 female Republican
5 10 47.0 14 Not female Democrat
6 12 46.5 11 female Democrat
7 12 52.5 16 female Independent
8 14 32.6 5 female Independent
9 15 37.3 8 female Democrat
10 16 38.6 11 female Independent
11 16 55.9 22 female Independent
12 16 59.5 20 female Independent
13 17 60.1 10 female Independent
14 18 54.8 20 female Republican
15 18 62.5 16 female Republican
16 19 56.0 21 female Independent
17 20 56.3 22 female Independent
18 20 54.7 12 female Independent
19 21 71.2 26 female Democrat
20 22 56.3 8 female Independent
This syntax would select any employee that is either female OR has an education less than 12 years.
To select a subset of columns, we will use the select()
function. The argument(s) for this function are the column names of the data frame that you want to select. For example, to select the education
, income
, and gender
columns from the city
data frame we would use the following syntax:
# A tibble: 32 x 3
education income gender
<dbl> <dbl> <chr>
1 8 26.4 female
2 8 37.4 Not female
3 10 34.2 female
4 10 25.5 female
5 10 47.0 Not female
6 12 46.5 female
7 12 52.5 female
8 12 37.7 Not female
9 12 50.3 Not female
10 14 32.6 female
# … with 22 more rows
There are a number of helper functions you can use within the select()
function. For example, starts_with()
, ends_with()
, and contains()
. These let you quickly match larger blocks of columns that meet some criterion. The syntax below selects all the columns that have a column name that ends in ‘e’.
# A tibble: 32 x 1
income
<dbl>
1 26.4
2 37.4
3 34.2
4 25.5
5 47.0
6 46.5
7 52.5
8 37.7
9 50.3
10 32.6
# … with 22 more rows
You can rename a column by using the rename()
function. Here we select the education
, income
, and gender
columns from the city
data frame and then rename the education
column to educ
. Note that this works similar to assignment in that the new column name is to the left of the equal sign.
# A tibble: 32 x 3
educ income gender
<dbl> <dbl> <chr>
1 8 26.4 female
2 8 37.4 Not female
3 10 34.2 female
4 10 25.5 female
5 10 47.0 Not female
6 12 46.5 female
7 12 52.5 female
8 12 37.7 Not female
9 12 50.3 Not female
10 14 32.6 female
# … with 22 more rows
To create new columns, we will use the mutate()
function. Here we create a new column called income2
based on multiplying the original income
column by 1000.
# A tibble: 32 x 6
education income seniority gender party income2
<dbl> <dbl> <dbl> <chr> <chr> <dbl>
1 8 26.4 9 female Independent 26430
2 8 37.4 7 Not female Democrat 37449
3 10 34.2 16 female Independent 34182
4 10 25.5 1 female Republican 25479
5 10 47.0 14 Not female Democrat 47034
6 12 46.5 11 female Democrat 46488
7 12 52.5 16 female Independent 52480
8 12 37.7 14 Not female Democrat 37656
9 12 50.3 24 Not female Democrat 50265
10 14 32.6 5 female Independent 32631
# … with 22 more rows
Depending on your print options, the results in income2
may be in scientific notation. For example 3.74e+04
is equivalent to \(3.74 \times 10^4=37400\).
You can “turn off” scientific notation by running the following syntax in your R session:
You will need to run this syntax every R session.
You can create multiple new columns within the same mutate()
function. Simply include each new column as an argument. Below we again create income2
, but we also additionally create cent_educ
which computes the difference between each employee’s education level and the mean education level.
# A tibble: 32 x 7
education income seniority gender party income2 cent_educ
<dbl> <dbl> <dbl> <chr> <chr> <dbl> <dbl>
1 8 26.4 9 female Independent 26430 -8
2 8 37.4 7 Not female Democrat 37449 -8
3 10 34.2 16 female Independent 34182 -6
4 10 25.5 1 female Republican 25479 -6
5 10 47.0 14 Not female Democrat 47034 -6
6 12 46.5 11 female Democrat 46488 -4
7 12 52.5 16 female Independent 52480 -4
8 12 37.7 14 Not female Democrat 37656 -4
9 12 50.3 24 Not female Democrat 50265 -4
10 14 32.6 5 female Independent 32631 -2
# … with 22 more rows
The arrange()
function sorts the data based on the values within one or more specified columns. The data is ordered based on the column name provided in the argument(s). The syntax below sorts the rows in the city
data frame from smallest to largest income.
# A tibble: 32 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 10 25.5 1 female Republican
2 8 26.4 9 female Independent
3 14 32.6 5 female Independent
4 10 34.2 16 female Independent
5 15 37.3 8 female Democrat
6 8 37.4 7 Not female Democrat
7 12 37.7 14 Not female Democrat
8 16 38.6 11 female Independent
9 12 46.5 11 female Democrat
10 10 47.0 14 Not female Democrat
# … with 22 more rows
Providing the arrange()
function multiple arguments sort initially by the column name given in first argument, and then by the columns given in subsequent arguments. Here the data are sorted first by gender (alphabetically since gender
is a character string) and then by income (lowest to highest).
# A tibble: 32 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 10 25.5 1 female Republican
2 8 26.4 9 female Independent
3 14 32.6 5 female Independent
4 10 34.2 16 female Independent
5 15 37.3 8 female Democrat
6 16 38.6 11 female Independent
7 12 46.5 11 female Democrat
8 12 52.5 16 female Independent
9 20 54.7 12 female Independent
10 18 54.8 20 female Republican
# … with 22 more rows
Use the desc()
function on a column name to sort the data in descending order. Here the data are sorted first by gender (alphabetically since gender
is a character string) and then by income. Here the data are sorted first by gender (alphabetically) and then by income (highest to lowest).
# A tibble: 32 x 5
education income seniority gender party
<dbl> <dbl> <dbl> <chr> <chr>
1 21 71.2 26 female Democrat
2 18 62.5 16 female Republican
3 17 60.1 10 female Independent
4 16 59.5 20 female Independent
5 20 56.3 22 female Independent
6 22 56.3 8 female Independent
7 19 56.0 21 female Independent
8 16 55.9 22 female Independent
9 18 54.8 20 female Republican
10 20 54.7 12 female Independent
# … with 22 more rows
The summarize()
function is used to compute summaries of data in a given column. Here we compute the mean income for all the employees.
# A tibble: 1 x 1
M
<dbl>
1 53.7
The output from summarize()
is a data frame with a single row and one or more columns, depending on how many summaries you computed. Here we computed a single summary so there is only one column. We also named the column M
within the summarize()
function.
Multiple summaries can be computed by providing more than one argument to the summarize()
function. The output is still a single row data frame, but now there will be multiple columns, one for each summary computation. Here we compute the mean income for all the employees and the standard deviation of the incomes.
# A tibble: 1 x 2
M SD
<dbl> <dbl>
1 53.7 14.6
The group_by()
function groups the data by a specified variable. By itself, this function essentially does nothing. But it is powerful when the grouped output is piped to other functions, such as summarize()
. Here we use group_by(gender)
to compute the mean income and the standard deviation of the incomes for both males and females.
# A tibble: 2 x 3
gender M SD
<chr> <dbl> <dbl>
1 female 48.9 13.3
2 Not female 59.9 14.2
You can also use group_by()
with multiple attributes. Simply add additional column names in the group_by()
function to create more conditional groups. For example to compute the mean income and standard deviation for males and females conditioned on political party, we can use the following syntax.
# A tibble: 6 x 4
# Groups: gender [2]
gender party M SD
<chr> <chr> <dbl> <dbl>
1 female Democrat 51.7 17.5
2 female Independent 48.6 12.0
3 female Republican 47.6 19.5
4 Not female Democrat 53.0 14.9
5 Not female Independent 61.6 10.4
6 Not female Republican 70.8 9.41
This produces the summary measures for each of the combinations of the levels of gender and political affiliation in the data.


The Daily Image Archive |
| PixelLight Dungeon Demo V1.2 |
Christian Ofenberg
Mon, 25 Apr 2011
8 comment(s)
|
|
| Shadow Explorer |
Intel
Mon, 4 Apr 2011
1 comment(s)
|
|
| Helion |
Simon Michelmore
Thu, 31 Mar 2011
0 comment(s)
|
|
| Rubber Track |
Skyler Fehnel
Sun, 27 Mar 2011
5 comment(s)
|
|
| Realtime Tire deformation system. |
Chris
Fri, 25 Mar 2011
9 comment(s)
|
|
| Dot Boxing |
Chris
Sun, 20 Mar 2011
1 comment(s)
|
|
| PixelLight SciFi demo prototype |
Christian Ofenberg
Sat, 12 Mar 2011
4 comment(s)
|
|
| fps game demo |
awingsoft
Mon, 7 Mar 2011
0 comment(s)
|
|
| Qoat of the Hill |
Tuomo
Wed, 2 Mar 2011
2 comment(s)
|
|
| Liquid on iPhone and iPad |
Reinder
Thu, 10 Feb 2011
2 comment(s)
|
|
| Asteroid Command - New game from casualgames.nu based on Farseer Physics & Silverlight |
Fredrik
Mon, 31 Jan 2011
3 comment(s)
|
|
| jMonkeyEngine 3.0 post process water |
Rémy Bouquet aka Nehon
Mon, 24 Jan 2011
0 comment(s)
|
|
| Custom CMYK-“halftone” printing |
Tuomo
Wed, 19 Jan 2011
4 comment(s)
|
|
| Esenthel Engine Sci-Fi Benchmark |
Esenthel
Tue, 11 Jan 2011
4 comment(s)
|
|
| Galactica |
Roberto
Fri, 7 Jan 2011
0 comment(s)
|
|
| Linderdaum Asteroids |
Sergey Kosarevsky
Wed, 5 Jan 2011
0 comment(s)
|
|
Do you have an image of a recent project or demo you would like to share related to game and grahics development? Would you like to have the satisfaction of sharing your
learning experience with everyone! Please submit it and if relevant, we will post it as a featured image on
the main page. All items submitted will be added to a queue which is processed daily (every 24-hours). After approval by a
moderator, your entry will be displayed depending on the amount of submissions we receive (submissions are processed on a
first-come-first-serve basis). Your submission will also link to a forum thread to provide user feedback.


Execution Summary for PROJECT_PLAN_WITH_RUNID
Scripts
Iterations
Scenarios
Activities
References
|
Failures
All Results
|
Collapse/Expand All
Test(s) did not complete due to fatal error:
Exception
stack trace goes here...
Check log file for more details
|
myscript.001.xlsx
|
1 / 2 |
2018/12/16 12:53:21 |
00:42:11 |
23456 |
12345 |
10001 |
98.12% |
| |
Scenario 123.7
|
2018/12/16 12:53:21 |
00:42:11 |
23456 |
12345 |
10001 |
98.12% |
|
Act 1 |
2018/12/16 12:53:21 |
00:42:11 |
23456 |
12345 |
10001 |
98.12% |
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03/27/14 - Arrays vs. Hashes
First, a short definition of arrays according to ruby-doc.org:
- Arrays are ordered, integer-indexed collections of any object
And this is how ruby-doc.org defines hashes:
- A hash is a dictionary-like collection of unique keys and their values
Both store collections of objects, accessible using a key. With arrays, the key is an integer; hashes support any object as a key. Furthermore, both can use the Enumerable mixin. Well, that's a good start, but what are the differences of Arrays and Hashes that make you decide which one will solve a task more efficiently? Lets look briefly at each of them separatly.
Arrays
- Arrays are used to store a collection of data, this can be strings ('hello'), numbers (4 or 4.3 or -1), symbols (:name) or a mix of all three. You can access each element in your array with a unique key. This key is the index number, i.e. an integer starting with index '0' at the first postion.
Going through your array, the index numbers are assigned in ascending order. You can locate the last element in your array by using the index 'n-1' while 'n' stands for the array's length.
Example:
arr = ["hello", 4, :name]
arr[0] = "hello" #=> the element at index '0'
arr[2] = :name #=> the element at index '2'
n = arr.length #=> 3
arr[n-1] = :name - You can also store key-value pairs in a nested array. Let's say we want to store the object "Sebastian" with the assigned value "35" and the object "Anton" with the assigned value "1" in an array called 'person':
person = [["Sebastian", 35], ["Anton", 1]]
#=>nested arrays where ["Sebastian", 35] has index 0 and ["Anton", 1] has index '1'
person[1] = ["Anton", 1]
#=> element at index '1' is an array
person[1][0] = "Anton"
#=>element at index '0' within array at index '1' is a string - However searching a specific element in your array without knowing its index number, means that you have to look at each of the array's elements, i.e. itereate through your list until you find it. Depending on the length of your array, running the code and getting the result may take some time (due to the memory that has to be used).
Example:
person = [["Sebastian", 35], ["Anton", 1]]
nephew = "Anton"
person.each {|x|
if x[0] == nephew
puts "#{nephew} is #{x[1]} year(s) old."
end
}
#=> look at index 0 in each nested array and return message if element equal to the value of nephew
#=> "Anton is 1 year(s) old."
person = [["Sebastian", 35], ["Anton", 1]]
age = 1
person.each {|x|
if x[1] == age
puts "Anton is #{age} years old."
end
}
#=> look at index 1 in each nested array and return message if element equal to the value of age
#=> "Anton is 1 year(s) old."
Hashes
- Hashes are used to store a collection of data but the hash objects are not integer indexed. A hash consists of a collection of unique key-value pairs and you can access each object with a unique key, which is can be a string ('hello'), a number (4 or 4.3 or -1) or a symbol (:name). The key is however not the index number (<-> array) but the key of unique a key-value pair.
 - The search of a specific element in a hash is very easy and fast - especially compared to searching an element in an array of which you don't know the index number!
Example:
Looking at the hash 'person', if we want to look up the value of the object "Anton" we can easily do it like this:
person = {"Sebastian" => 35, "Anton" => 1}
puts person["Anton"]
#=> access the hash with with key ("Anton") and return the corresponding value (1)
Alternative solution:
puts person.values_at("Anton")
#=> access the hash with key ("Anton") and return the corresponding value (1)
If we want to find the object with the assigned value of 1, we can easily do it like this:
puts person.key(1) #=> access the hash with value (1) and return the corresponding key ("Anton")
- You can also iterate hashes; they are iterated like arrays, except two values are passed to blocks instead of one.
Conclusion
You can store key-value pairs in hashes and arrays. Searching an object in a data collection without knowing its exact position in the list, is however much faster done with a hash. Especially if working with long lists, storing the data in a hash eases and speeds up the process because you do not have to iterate through the whole list.
This article does not provide a full list of differences and advantages of hashes and arrays. If you're interested in learning more about arrays and hashes, I recommend ruby-doc.org as a starting point.


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--- layout: example.html title: Icon style shortdesc: Example of icon vector style rendered in Google Maps. docs: > This example displays styled OpenLayers point geometries displayed as icons in a Google map. ---


A simple Plan solely to test plan execution
The sample objects were chosen by c3po using the size'o'matic 3000 algorithm.
The collection consists of 100.0% 'Tagged Image File Format' files.
Converts tiff to tiff using imagemagick convert with the provided compression using service at: http://www.myexperiment.org/workflows/4064/download/imagemagick_convert_-_tiff2tiff_-_compression_168727.t2flow?version=1
removes compression, affordable
migration required
Keep the objects as they are.
delete all objects


| rigz.singlesurface: | Functions | Types | Modinfo | Source |
| DrawSprite | Draw a tAnimImage to the screen. |
| LoadSprite | Load an image and store it as a tAnimImage. |
| TAnimImage | Type for creating single surface animations. |
| Function DrawSprite(sprite:TAnimImage, x:Float, y:Float, frame:Int = 0) | |
| Description | Draw a tAnimImage to the screen. |
| Information | Very similar to BRL's DrawImage except of course it draws a tAnimImage. Parametres:
|
| Function LoadSprite:TAnimImage(url:Object, width:Float = 0, height:Float = 0, frames:Int = 1, FindRadius:Int = False) | |
| Description | Load an image and store it as a tAnimImage. |
| Information | Very similar to BRL's loadanimimage except of course it returns a tAnimImage. Parametres:
|
| Type TAnimImage | |
| Description | Type for creating single surface animations. |
| Information | This type replaces the usual drawimage with one that lets you draw animations using a single surface. Its questionable how much faster this makes things, but it might make improvements on slower cards, and it doesn't seem to slow down faster ones so. You can use the helper functions LoadSprite and DrawSprite to create and draw your images. |
| Author | Tim Fisher (Indiepath) Modified by Peter Rigby |
|---|---|
| Purpose | Single surface image drawing when using animated images |
| Version | v1 |


Model: Biosensor with a carbon nanotube electrode
Biosensor structure
Biosensor cell structure
Reactions
Parameters
Main
Compartments
Name
Type
Thickness
Reaction
Diffusion
Add
...
..
Compartments
Name
Species
Name
Diffusion coefficient
Initial concentration
Reactions
Name
Name
Value
Dimension
S