Red Eye is a good little thriller to watch on a Saturday night. Intense acting, great villain and unexpected action.

Some might not want to see this movie because it goes for a very short 85 Min's and 88% of the movie is on a plane and just talking. Don't worry they pull it off very well with the smart and witty dialog.

A PG-13 movie seems to be new grounds for director Wes Craven. But surely enough he has fit as much violence as he possibly can into this thriller.

This movies strongest point is its cast. This film needed good actors to deliver the dialog and thrills. If they didn't have those actors the film would have been lost and boring. We had Rachel McAdams from Mean Girls and Wedding Crashers. Cillian Murphy from Batman Begins and 28 days Later. Rounding off this cast is Brian Cox from X-men 2.

The pacing in this film was great. Just when your thinking its going to get boring they throw a twist at you. Luckily this isn't a long movie and doesn't feel like it either. Much better then the other flight movie Flight Plan.

Here is my Flight Plan comment: http://www.imdb.com/title/tt0408790/usercomments-578

I recommend. Not too long and not too shabby.

8/10


I was very disappointed in this movie. Plotwise it was weak bordering on silly: Souls who can affect reality in the way they do? A mission apparently critical to the Soul Hunters entrusted to one of their younger members? And the whole B-story with the "holobrothel" and the lawsuit against the station was so awful that at one point I blurted out to the television, "Why are you wasting my time with this?"

Thematically, "River of Souls" didn't really go into the question of the soul in any more depth than the original episode "Soul Hunter" did. We see that Soul Hunters can make mistakes, but we still don't get a feeling for their culture. (Are there any female Soul Hunters?)

The acting was okay, given the material they had to work with, and the special effects - especially the planetscapes in the first act - were very impressive. But overall, I'd say give this one a miss.


I really hate this retarded show, it SUCKS! big time, and personally I think it is insulting to fairy kind (if you believe in fairies that is); I mean the people who had come up with such crap 'ought to have their heads examine huh? and also there is a LOT of craziness (the evil school teacher, which I think is getting really old) and also stupidity (the boy's parents and fairy godfather) in this show - two of the things that I dispised and loathe in the WHOLE world (especially stupidity).

Overall, I say that this show is so f*****' annoying and should not be seen by prying eyes at ALL (it would make'em bleed to death)!


"Once in the life" is a very good movie. However it's not good for everybody, due to the extensive use of vulgar language and the violence of some of the situations. The movie manages to represent in an anecdotic, believable way the "life" in NYC neighborhoods where drug problems are important. This depiction is in turn used as the decor for a most thoughtful and suspenseful drama backed up by powerful dialogs (however I had a hard time understanding some of them because english is not my mother tongue. On video it's OK). There is a little overplay sometimes, but I think it fits quite well to the general orientation Fishburne gave to the movie, which gives matter for reflexion more than just being a good style exercise, notably in the time/action management. The characters, even though not simple, are easy to relate to and actors do a fine job at impersonating them. By the way I much enjoyed the soundtrack (B. Marsalis). If you're not too prude, you should enjoy seeing that movie once, twice, three times. I rated the movie 9/10.


'Ninteen Eighty-Four' is a film about a futuristic society in which the government controls everything and no one can be trusted. It is a very dark film, and it is one that will not make you feel good about yourself. It is about a romance taking place in this society and the betrayal of the lovers and about human nature being self-centred. The film has some very good ideas and is done well in portraying this society with the dark tones in colours (contrasting with happiness and bright colours in the dreams) and a general feeling of loneliness through objects and people and places. However, despite the film's cleverness at portraying this idea, the film was very slow and did not seem to quite get the idea across. It seemed to spend too much time being clever rather than telling a story.


I have a deep liking for this film despite it appearing deliberately less 'polished' than the other Fred and Ginger films, not to mention the slightly problematic casting of Harriet Hillard in the lead romantic role.

Once again with these films, the plot is of a minor consequence - Astaire plays a rather unlikely sailor (who happens to be a brilliant former hoofer (of course!)) and Rogers an aspiring performer in a seedy dime-a-dance music hall. Although their relationship is bright and fun to watch, they are bogged down by an un-involving main story of Hilliard and Randolph Scott not succeeding in finding any chemistry between them.

Although it was a last minute decision, Hilliard was rather miscast in this as she doesn't have the screen presence to give this film what it needs despite being sweet and likable throughout. The film may have benefited in promoting Lucille Ball's wise-cracking worldy brassy character to a larger role as she simply shined in every small scene, and would have made a great Helen Broderick-type side-kick to Rogers in this kind of bright film (See 'Stage Door', made the following year, for an example of wonderful scenes between these two fantastic actresses). That Scott's one-dimensional Neanderthal character eventually falls in love with Hilliard's is even harder to believe than Astaire being in the Navy!

Now onto the important part, the singing and dancing: Nothing more can be said about "Let's Face the Music and Dance" other than it is brilliant and moving and perfectly executed and I often finish watching that scene with tears in my eyes. However other songs in the film deserve some recognition as well; "I'm putting all my Eggs in One Basket" is a lovely example of the comedic instincts of Astaire and Rogers, and almost pokes fun at their reputation of bursting into spontaneous, perfectly synchronized dancing. Other highlights are "I'd Rather Lead the Band" and "Let Yourself Go" which show how these two talents could perform as brilliantly alone as together. I nearly forgot to mention that this is one of the few (if not the only) time we see Astaire brilliantly play on the piano; It seems this man's talents were endless!

Overall, I actually prefer this to 'Top Hat' and 'Swing Time' (although only just), as it is more earthy and performed so enthusiastically by all involved, it is hard to dislike the fun factor.


Predictable, told a thousand times story with the usual drama in between, a couple of pretty raunchy sex scenes intermingled with some character paranoia, 70's style incidental violin horror music that is comical at times, i couldn't help chuckling to myself.

I usually like Defoe, and it has to be said that the acting is not all that bad, the "plot" develops at a reasonable pace and does keep you guessing from time to time. Its just that it's all too predictable, i felt like i was watching a made for TV drama instead of a new movie. Maybe thats the style the directors wanted, but it has to be said that the review i read on here before i saw the movie could only have been written by someone involved in its production.

Don't expect too much, and if i could wind the clock back i wouldn't have gone to see it at the cinema. I would wait for the bargain bins at your video shop, I'm sure it wont take long.


David Burton(Richard Chamberlain, quite good)is a lawyer, more adept at handling corporate taxation(..and suffers from unusual dreams which bother him seeing this aboriginal man shrouded in darkness), who is called on to take a case concerning a group of aboriginals charged with the murder of one of their own named Billy..we see that he tries to steal stones with ritual painting on them and is killed when a leader of an aboriginal tribe named Charlie(Nandjiwarra Amagula)uses a "death bone" to stop his heart. Meanwhile, revolving around David, bizarre weather patterns effect Sydney such as rain beating down polluted dirt and rock-sized hail during bright blue skies(with no sights of clouds, such as the one that hits a school in central Australia), not to mention, a "deformed" rainbow which is split(!)into groups. As David pursues the case he finds that he is far closer to the weird events taking place than he could ever realize. One aboriginal named Chris(David Gulpilil)appears to him in a dream holding a stone with blood and he finds that this man is one of those he is to represent at trial! He finds that it's quite possible, after some strange meetings with Charlie and conversations with Chris, that he very well might be linked to a spirit named Mulkurul and that his dreams are actual premonitions of possible horrors yet to come.

Absorbing apocalyptic drama builds it's story methodically and is completely original and unpredictable. With Peter Weir in charge, the film is visually arresting as we see these very overwhelming images of possible doom towards civilization, but the film's most compelling angle is certainly David's journey to find that monumental truth that plagues him as he questions Charlie and Chris countlessly, at first to help his men get off from a crime they didn't commit, and ultimately to find out what he has to do with anything catastrophic that is occurring or might occur later.


The Man in the White Suit is one of those delightful comedies that Ealing studies made so well in the 40's and 50's. The plot of this one follows a man that invents a cloth that neither gets dirty nor breaks. Of course, this is a huge breakthrough in the world of textiles. However, things are not that simple as the cloth will threaten the way of life of many people, including cloth manufacturers, the cloth mill's workforces, and even an old lady that does her washing every week. The Man in the White Suit is a film about scientific advances, and the way that they don't always help; as the old woman says at one point in the movie, "Why cant you scientists just leave things alone?"

Like a lot Ealing comedies, this one stars Sir Alec Guinness. Alec Guinness is a fantastic actor; he has the ability to light up the screen with his presence (and he does in this film, literally), but he also manages to portray his characters in a down to earth and believable way. He is suitably creepy in this film, and he captures just the right atmosphere for his character; an intelligent and ambitious, but slightly naive scientist. Along with Guinness, The Man in the White Suit also features Joan Greenwood, the deep voiced actress that co-starred with Guinness in the simply divine "Kind Hearts and Coronets" and Michael Gough, a man that would go on to get himself the role of Alfred in the Batman films. The acting in the film isn't always great, but it is always decent, and it's fits with the film.

The Man in the White Suit is an intelligent, thought-provoking and witty comedy with a moral. The comedy isn't always obvious, and it doesn't always work, but the film is not meant to be a film that provokes belly laughs, so that is forgivable. I recommend this movie, basically, to anyone that is a fan of movies.


M7 PROLAPSO VAGINAL PARED ANTERIOR G11 G 111 ALGIA PELVICA HTA CRONICA


PIEZA 3 CARIES DENTINARIA PROFUNDA PROXIMA A CAMARA PULPAR, EVALUAR POR ESPECIALIDAD


You're gonna have to call the fucking United Nations and get a fucking binding resolution to keep me from fucking destroying you. I'm talking about a scorched earth, motherfucker! I will massacre you! I WILL FUCK YOU UP!

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oompa loompa do-ba-dee-do stop being an asshole you motherfucking douche


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Ass fucked sub takes it from ass to mouth


Kevin: YOU LISTEN TO ME YOU MOTHERFUCKER! DON'T YOU EVER DISRESPECT THE GREATEST POP GROUP OF ALL TIME! YOU COCKSUCKER!!!! I HOPE YOU GET DIARRHEA AND IT RUNS DOWN YOUR LEG!!!! FUCK YOU BITCH ASS BITCH!


Load up on guns, bring your friends
Its fun to lose and to pretend
Shes over-bored and self-assured
Oh no, I know a dirty word
Hello, hello, hello, how low
Hello, hello, hello, how low
Hello, hello, hello, how low
Hello, hello, hello
With the lights out, its less dangerous
Here we are now, entertain us
I feel stupid and contagious
Here we are now, entertain us
A mulatto, an albino
A mosquito, my libido
Yeah, hey, yay
Im worse at what I do best
And for this gift, I feel blessed
Our little group has always been
And always will until the end
Hello, hello, hello, how low
Hello, hello, hello, how low
Hello, hello, hello, how low
Hello, hello, hello
With the lights out, its less dangerous
Here we are now, entertain us
I feel stupid and contagious
Here we are now, entertain us
A mulatto, an albino
A mosquito, my libido
Yeah, hey, yay
And I forget just why I taste
Oh yeah, I guess it makes me smile
I found it hard, its hard to find
Oh well, whatever, never mind
Hello, hello, hello, how low
Hello, hello, hello, how low
Hello, hello, hello, how low
Hello, hello, hello
With the lights out, its less dangerous
Here we are now, entertain us
I feel stupid and contagious
Here we are now, entertain us
A mulatto, an albino
A mosquito, my libido
A denial, a denial
A denial, a denial
A denial, a denial
A denial, a denial
A denial


Come as you are, as you were
As I want you to be
As a friend, as a friend
As an old enemy
Take your time, hurry up
Choice is yours, dont be late
Take a rest as a friend
As an old memoria
Memoria
Memoria
Memoria
Come doused in mud, soaked in bleach
As I want you to be
As a trend, as a friend
As an old memoria
Memoria
Memoria
Memoria
And I swear that I dont have a gun
No, I dont have a gun
No, I dont have a gun
Memoria
Memoria
Memoria
Memoria
And I swear that I dont have a gun
No, I dont have a gun
No, I dont have a gun
No, I dont have a gun
No, I dont have a gun
Memoria
Memoria


She eyes me like a Pisces when I am weak
Ive been locked inside your heart-shaped box for weeks
Ive been drawn into your magnet tar pit trap
I wish I could eat your cancer when you turn black
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Your advice
Meat-eating orchids forgive no one just yet
Cut myself on angel hair and babys breath
Broken hymen of Your Highness, Im left black
Throw down your umbilical noose so I can climb right back
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Your advice
She eyes me like a Pisces when I am weak
Ive been locked inside your heart-shaped box for weeks
Ive been drawn into your magnet tar pit trap
I wish I could eat your cancer when you turn black
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Hey! Wait! I got a new complaint
Forever in debt to your priceless advice
Your advice
Your advice
Your advice


Im so happy, cause today I found my friends, theyre in my head
Im so ugly, thats okay, cause so are you, we broke our mirrors
Sunday mornin is every day for all I care and Im not scared
Light my candles in a daze, cause Ive found God
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah
Im so lonely, thats okay, I shaved my head and Im not sad
And just maybe Im to blame for all Ive heard, but Im not sure
Im so excited, I cant wait to meet you there and I dont care
Im so horny, thats okay, my will is good
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah
I like it, Im not gonna crack
I miss you, Im not gonna crack
I love you, Im not gonna crack
I killed you, Im not gonna crack
I like it, Im not gonna crack
I miss you, Im not gonna crack
I love you, Im not gonna crack
I killed you, Im not gonna crack
Im so happy, cause today I found my friends, theyre in my head
Im so ugly, thats okay, cause so are you broke our mirrors
Sunday mornin is every day for all I care and Im not scared
Light my candles in a daze, cause Ive found God
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah, yeah
Yeah
I like it, Im not gonna crack
I miss you, Im not gonna crack
I love you, Im not gonna crack
I killed you, Im not gonna crack
I like it, Im not gonna crack
I miss you, Im not gonna crack
I love you, Im not gonna crack
I killed you, Im not gonna crack


Sell the kids for food
Weather changes moods
Spring is here again
Reproductive glands
Hes the one who likes all our pretty songs
And he likes to sing along and he likes to shoot his gun
But he dont knows not what it means
Dont knows what it means, when I say
Hes the one who likes all our pretty songs
And he likes to sing along and he likes to shoot his gun
But he dont know what it means, dont know what it means, and I say, Yeah
We can have some more
Nature is a whore
Bruises on the fruit
Tender age in bloom
Hes the one who likes all our pretty songs
And he likes to sing along and he likes to shoot his gun
But he dont know what it means
Dont know what it means, and I say
Hes the one who likes all our pretty songs
And he likes to sing along and he likes to shoot his gun
But he dont know what it means
Dont know what it means, and I say, Yeah
Hes the one who likes all our pretty songs
And he likes to sing along and he likes to shoot his gun
But he dont know what it means
Dont know what it means, and I say
Hes the one who likes all our pretty songs
And he likes to sing along and he likes to shoot his gun
But he dont know what it means
Dont know what it means
Dont know what it means
Dont know what it means, and I say, Yeah


Find my back in the cold, trapped in another soul, they can hear me holler
Im caught in it again, see em all strapped in and cant move and Im sinkin lower
Heaven gonna help me cause I feel the world weighin on me heavy, tryna keep it steady
Ready for the mission, God, shine your love on me, save me, please
If Im goin alone, Ive been gone for so long, aint nobody, you cant hear a word
Perched in the night, lookin out nowhere, wheres home? I done hit a nerve
Pain in my eyes, every time I find, Im stronger than I ever was
Here we go again, God, shine your love on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Hmm-mm-mm, woah, woah
Stay strong
Hmm-mm-mm, woah, woah
Save me, Lord
Hmm-mm-mm, woah, woah
Stay strong
Hmm-mm-mm, woah, woah
Save me, Lord
Hmm-mm-mm, woah, woah
Stay strong
Hmm-mm-mm, woah, woah
Save me, Lord
Hmm-mm-mm, woah, woah
Everybody want world peace
Til your niece get shot in the dome-piece
Then you go and buy your own piece
Hopin itll help you find your own peace
Bring light to what they dont see
Auntie cryin on the concrete
Talkin to dispatcher then the phone beep
On the other line was the homies
Told her that you aint comin home, see
When she heard the news it hurt her bone-deep
Caught with the rifle with the long reach
Just another cycle of the lonely
All growin up in environment
Where doin crime the requirement
They send us off to prison for retirement
Hopefully, Alice Johnson will inspire men
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Save me, Lord
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Save me, Lord
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Save me, Lord
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Lord shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Both sides lose somebody
Hmm-mm-mm, woah, woah
Save me, Lord
Somebody dies, somebody goes to jail
Hmm-mm-mm, woah, woah
Stay strong
Light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Lord, shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Stay strong
Shine your light on me, save me, please
Hmm-mm-mm, woah, woah
Save me, Lord
Shine your light on me
Hmm-mm-mm, woah, woah
Stay strong


Rape me
Rape me, my friend
Rape me
Rape me again
Im not the only one, ah-ah
Im not the only one, ah-ah
Im not the only one, ah-ah
Im not the only one
Hate me
Do it and do it again
Waste me
Rape me, my friend
Im not the only one, ah-ah
Im not the only one, ah-ah
Im not the only one, ah-ah
Im not the only one
My favorite inside source
Ill kiss your open sores
I appreciate your concern
Youre gonna stink and burn
Rape me
Rape me, my friend
Rape me
Rape me again
Im not the only one, ah-ah
Im not the only one, ah-ah
Im not the only one, ah-ah
Im not the only one
Rape me!
Rape me!
Rape me!
Rape me!
Rape me!
Rape me!
Rape me!


We passed upon the stairs
We spoke of was and when
Although I wasnt there
He said I was his friend
Which came as a surprise
I spoke into his eyes
I thought you died alone
A long long time ago
Oh no, not me
We never lost control
Youre face to face
With the man who sold the world
I laughed and shook his hand
And made my way back home
I searched for foreign land
For years and years I roamed
I gazed a gazely stare
We walked a million hills
I must have died alone
A long, long time ago
Who knows? Not me
I never lost control
Youre face to face
With the man who sold the world
Who knows? Not me
We never lost control
Youre face to face
With the man who sold the world


Question: liver support

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Question: 9 month old baby toys

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Chunky sized bumps encourage reaching, grasping, and transferring from one hand to the other
Gentle rattle sounds create neural connections in babies brains from birth through 3 years
Bright colors & bold patterns are visually appropriate for baby's developing vision [SEP] Sassy [SEP] Developmental Bumpy Ball [SEP] us [SEP] nan


Question: change the world without taking

change the world without taking [SEP] Newark Minutemen: A True 1930s Legend About One Man's Mission to Save a Nation's Soul Without Losing His Own [SEP] nan [SEP] Morgan James Fiction [SEP] nan [SEP] us [SEP] nan


Question: cuties

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Question: casio analog watch

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Resin band with buckle closure
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Question: toddler girl's 4t

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ROSETTA-ORBITER STEINS_FLY-BY OSINAC 2 EDR DATA

Max Planck Institute for Solar System Research

ROSETTA / OSIRIS / Cruise Phase / STEINS_FLY-BY

2867 STEINS, INTERNATIONAL ROSETTA MISSION, OSIRIS - NARROW ANGLE CAMERA, STEINS FLY-BY


ROSETTA-ORBITER EARTH SWING-BY 2 OSINAC 3 RDR data

ROSETTA / OSIRIS / Cruise Phase / EARTH SWING-BY 2

EARTH SWING-BY 2, INTERNATIONAL ROSETTA MISSION, OSIRIS - NARROW ANGLE CAMERA, VEGA


ROSETTA-ORBITER EARTH SWING-BY 2 OSINAC 2 EDR DATA


Reconstructing Subject-Specific Effect Maps


Spherical polyharmonics and Poisson kernels for polyharmonic functions


A finite element approximation for the stochastic Maxwell--Landau--Lifshitz--Gilbert system


Comparative study of Discrete Wavelet Transforms and Wavelet Tensor Train decomposition to feature extraction of FTIR data of medicinal plants


On maximizing the fundamental frequency of the complement of an obstacle


On the rotation period and shape of the hyperbolic asteroid 1I/`Oumuamua (2017) U1 from its lightcurve


Adverse effects of polymer coating on heat transport at solid-liquid interface


SPH calculations of Mars-scale collisions: the role of the Equation of State, material rheologies, and numerical effects


$\mathcal{R}_{0}$ fails to predict the outbreak potential in the presence of natural-boosting immunity


theres not enough going on around here for air service none want to waste there time on this town


How about ZERO


Her name is still floating?  Might I suggest flushing twice?


Stop by So Cold at MFNW/Project Pabst! It'll make the top of any list.
socoldpdx.com


Nobody awake on the bridge, no lookouts ,,no radar tech. Never saw the ships lights ????  Oh boy !!


Pessimist's might say that we the US will have a Godzillion deficit in 10 years and bucks for Lo-Lo's going be gonahs real soon, however Optimist's might say; look on the bright side, if you work at the Pearl Harbor Ship Yard or for the DOD your career and future is secure braddahs and sistahs!


I'm sure Hawaiian can put Southwest out of business but the Southwest/Alaska combination may be too much to handle.


States don't grow economies, cities grow economy.
Cities that invest in their residents will encourage economic diversity and less reliance on government spending.
Look at what state legislatures in the sw and se are doing to kill econimic diversity by passing draconian social laws that discriminate against classes of tax paying citizens. Private sector businesses are threatening to pull out and/or reduce investment. Government money and religious conservatism stifles creativity and economic diversity. Less government is better for the economy.


What makes Magnitsky so special? Countless thousands of people around the world have been tortured and have died under suspicious circumstances throughout history but no country considered their deaths worthy enough to apply sanctions against offending governments and /or their officials. One must wonder what are the real motivations of those who are promoting a Canadian version of the Magnitsky Act.


The Mayor said we need "more skin in the game" . That explains the rash on my...


Sunday afternoon savior. They are great! Helped us out so much today. Good, honest folks.


Tuesday was my man and I's weekly wing night.  After a day in the city browsing, I just didn't feel much like going home and slaving over a hot stove and frying up wings.  So I suggested we just eat out at a wings place instead and Pluckers happen to be nearby.

We've eaten at the Lakeline location twice, but it was our first time at this location.

It was midafternoon so the place was fairly deserted, however, its a pretty small location so I can imagine it probably gets packed during large sporting events or other busy times.

Since we are Plucker's club members we got a free appetizer of homemade potato chips.  They were great.  If you are really into wings and enjoy Pluckers, consider joining the club.  Its only $20 and we have already recouped most of that cost by getting 2 free appetizers (one each time we've been since joining) and we are 3/4 of the way to earning our $10 credit.

The boneless wings were great as usual.  I thought I'd ordered hot in the past, as I tend to go between medium and hot depending upon what restaurant we are at.  Apparently I had not.  They were ridiculously hot.  And me, not liking ranch, or anything of the sort, just had to wait for my mouth to cool down with no help from any ranch or blue cheese sauce.

If you are a person like me that likes hot spicy food, but likes it to still be somewhat enjoyable to eat- try the medium first.  Even my fiance who has a better spice tolerance than I do, thought they were ridiculous.  Lucky I had split my ordered and also gotten a couple Spicy BBQ which were a nice burn but still enjoyable to eat.


Everything is presented very nicely at Kishimoto. I really enjoyed the pressed sushi and the hamachi stone bowl.

What I really enjoy about this restaurant, is that the price is right. Its not overly expensive, and the choices are abundant. You can eat sushi, rice bowls, small fried side dishes, and everything is flavorful, and you do enjoy almost everything.

Is this a high end restaurant? I wouldn't consider it. Their rainbow roll (tho was average good), was not strongly made (fell apart very easily). It was also on the thinner side per cut. But I ordered tons of food, so I'm not really complaining, just comparing for the review ;)

I would come back for lunch again. Why? Cause the dinner wait is to cray cray. Table for 2-4 is easy to get during lunch!


So good we are thinking of having them cater our wedding. The al pastor is the best I have ever had.


Wow - pleasantly surprised!! Both my son and I had the BLT - the bread was soft and tasty, the bacon with very little fat on it, and the arugula was a nice touch!! The wait staff very pleasant too - would definitely return.

The peanut butter mousse pie with oreo cookie crust was also delicious!!


Great menu, atmosphere, and service---a sophisticated addition to the Washington Street restaraunt scene. Not a bargain, but a great place to drop $70 per person with a shared appertizer, individual entree, and shared dessert, plus one drink each, with tip. But, at those prices, it's not a place I can show up at very often. But it's smart and they do what they do very well.


Great tour! Not only was it a fun Halloween activity, it was a great way to see Harvard. Our guide, Nathaniel, really made the tour - great storyteller, fun sense of humor, and smart! (What a vocabulary!) Nice mix of history and entertainment made for an engaging 90 minutes for my sister and I as well as our three 20-something kids.


I totally love their service. I actually travel from New York to get lip injections. Love the staff! See you guys in June!


I've been needing a serious change with my hair. Been doing the same thing for several years and was ready for something new. I happened on a great Groupon deal for a cut and color and am so glad I bought it!!

Herve is wonderful. Yes, you are getting a fancy-schmancy cut from a Frenchman. Yes, it's expensive. But it is soooo worth it!

Atelier is a very small salon with just Herve and one other stylist. I really like that because it makes the entire experience feel much more personal. I am not the most talky person when getting my hair cut, but I ended up laughing my entire appointment as the other stylist, her customer and Herve and I joked around and talked about a little of everything. They even started complimenting the haircut he was giving me before it was over.

I ended up with hair that is shorter than I've ever had it and yet it's AWESOME!! I don't feel like it's something that will be hard to maintain and the highlights he gave me really add to the cut.

Now I just have to talk my husband into understanding the value of a high-end salon and why I have to go back!! (he's bald--doesn't get it)


Ordered the Pad See Ew, it was basically just broad noodles stir fried in hoisin sauce and a lot of oil. I guess that's what you'd expect at that price point. Not good.

Saw someone nearby ordered the pad Thai, looked like the same thing as mine but with thinner noodles and stir fried in Sriracha sauce. No wonder they don't have sauces at the tables.


One, one, one, one, one
Talkin in my sleep at night, makin myself crazy
Wrote it down and read it out, hopin it would save me
My love, he makes me feel like nobody else, nobody else
But my love, he doesnt love me, so I tell myself, I tell myself
One: Dont pick up the phone
You know hes only callin cause hes drunk and alone
Two: Dont let him in
Youll have to kick him out again
Three: Dont be his friend
You know youre gonna wake up in his bed in the morning
And if youre under him, you aint gettin over him
I got new rules, I count em
I got new rules, I count em
I gotta tell them to myself
I got new rules, I count em
I gotta tell them to myself
I keep pushin forwards, but he keeps pullin me backwards
Now Im standin back from it, I finally see the pattern
But my love, he doesnt love me, so I tell myself, I tell myself
I do, I do, I do
One: Dont pick up the phone
You know hes only callin cause hes drunk and alone
Two: Dont let him in
Youll have to kick him out again
Three: Dont be his friend
You know youre gonna wake up in his bed in the morning
And if youre under him, you aint gettin over him
I got new rules, I count em
I got new rules, I count em
I gotta tell them to myself
I got new rules, I count em
I gotta tell them to myself
Practice makes perfect
Im still tryna learn it by heart
Eat, sleep, and breathe it
Rehearse and repeat it, cause I
One: Dont pick up the phone
You know hes only callin cause hes drunk and alone
Two: Dont let him in
Youll have to kick him out again
Three: Dont be his friend
You know youre gonna wake up in his bed in the morning
And if youre under him, you aint gettin over him
I got new rules, I count em
I got new rules, I count em
I gotta tell them to myself
I got new rules, I count em
I gotta tell them to myself
Dont let him in, dont let him in
Dont, dont, dont, dont
Dont be his friend, dont be his friend
Dont, dont, dont, dont
Dont let him in, dont let him in
Dont, dont, dont, dont
Dont be his friend, dont be his friend
Dont, dont, dont, dont
Youre gettin over him


It was great at the very start
Hands on each other
Couldnt stand to be far apart
Closer the better
Now were picking fights and slamming doors
Magnifying all our flaws
And I wonder why, wonder what for
Why we keep coming back for more
Is it just our bodies? Are we both losing our minds?
Is the only reason youre holding me tonight
Cause were scared to be lonely?
Do we need somebody just to feel like were alright?
Is the only reason youre holding me tonight
Cause were scared to be lonely?
Too much time, losing track of us
Where was the real?
Undefined, spiraling out of touch
Forgot how it feels
All the messed up fights and slamming doors
Magnifying all our flaws
And I wonder why, wonder what for
Its like we keep coming back for more
Is it just our bodies? Are we both losing our minds?
Is the only reason youre holding me tonight
Cause were scared to be lonely?
Do we need somebody just to feel like were alright?
Is the only reason youre holding me tonight
Cause were scared to be lonely?
Scared to be lonely, ooh, ooh, ooh
Even when we know its wrong
And somebody better for us all along
Tell me, how can we keep holding on?
Holding on tonight cause were scared to be lonely
Even when we know its wrong
And somebody better for us all along
Tell me, how can we keep holding on?
Holding on tonight cause were scared to be lonely
Is it just our bodies? Are we both losing our minds?
Is the only reason youre holding me tonight
Cause were scared to be lonely?
Scared to be lonely
Scared to be lonely, ooh, ooh
Eh, eh, scared to be lonely


If you dont wanna see me
Did a full one-eighty, crazy
Thinking bout the way I was
Did the heartbreak change me? Maybe
But look at where I ended up
Im all good already
So moved on, its scary
Im not where you left me at all, so
If you dont wanna see me dancing with somebody
If you wanna believe that anything could stop me
Dont show up, dont come out
Dont start caring about me now
Walk away, you know how
Dont start caring about me now
Arent you the guy who tried to
Hurt me with the word goodbye?
Though it took some time to survive you
Im better on the other side
Im all good already
So moved on, its scary
Im not where you left me at all, so
If you dont wanna see me dancing with somebody
If you wanna believe that anything could stop me
Dont show up, dont come out
Dont start caring about me now
Walk away, you know how
Dont start caring about me now
Up, up
Dont come out, out, out
Dont show up, up, up
Dont start now
Up, up
Dont come out, out
Im not where you left me at all, so
If you dont wanna see me dancing with somebody
If you wanna believe that anything could stop me
Dont show up , dont come out
Dont start caring about me now
Walk away , you know how
Dont start caring about me now
Up, up
Dont come out, out, out
Dont show up, up, up
Walk away, walk away
Up, up
Dont come out, out, out
Dont show up, up, up
Walk away, walk away, oh


You call me all friendly
Tellin me how much you miss me
Thats funny, I guess youve heard my songs
Well, Im too busy for your business
Go find a girl who wants to listen
Cause if you think I was born yesterday, you have got me wrong
So I cut you off
I dont need your love
Cause I already cried enough
Ive been done
Ive been movin on since we said goodbye
I cut you off
I dont need your love
So you can try all you want
Your time is up, Ill tell you why
You say youre sorry, but its too late now
So save it, get gone, shut up
Cause if you think I care about you now
Well, boy, I dont give a fuck
I remember that weekend
When my best friend caught you creepin
You blamed it all on the alcohol
So, I made my decision
Cause you made your bed, sleep in it
Play the victim and switch your position
Im through, Im done
So I cut you off
I dont need your love
Cause I already cried enough
Ive been done
Ive been movin on since we said goodbye
I cut you off
I dont need your love
So you can try all you want
Your time is up, Ill tell you why
You say youre sorry, but its too late now
So save it, get gone, shut up
Cause if you think I care about you now
Well, boy, I dont give a fuck
I see you tryna get to me
I see you beggin on your knees
Boy, I dont give a fuck
So stop tryna get to me
Tch, get up off your knees
Cause, boy, I dont give a fuck
About you
No, I dont give a damn
You keep reminiscin on when you were my man
But Im over you
Now youre all in the past
You talk all that sweet talk, but I aint comin back
Cut you off
I dont need your love
So you can try all you want
Your time is up, Ill tell you why
Ill tell you why
You say youre sorry, but its too late now
So save it, get gone, shut up
Cause if you think I care about you now
Well, boy, I dont give a fuck
I see you tryna get to me
I see you beggin on your knees
Boy, I dont give a fuck
So stop tryna get to me
Tch, get up off your knees
Cause, boy, I dont give a fuck


One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
Let me take the night, I love real easy
And I know that youll still wanna see me
On the Sunday morning, music real loud
Let me love you while the moon is still out
Something in you-ou-ou lit up heaven in me-e-e
The feeling wont let me slee-ee-eep
Cause Im lost in the way you move, the way you feel
One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
One
One
One
One
I just wanna feel your skin on mine
Feel your eyes do the exploring
Passion in the message when you smile
Take my time
Something in you-ou-ou lit up heaven in me-e-e
The feeling wont let me slee-ee-eep
Cause Im lost in the way you move, the way you feel
One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
One
One
One
One
See a wonderland in your eyes
Might need your company tonight
Something in you-ou-ou lit up heaven in me-e-e
The feeling wont let me slee-ee-eep
Cause Im lost in the way you move, the way you feel
One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
One kiss is all it takes
Fallin in love with me
Possibilities
I look like all you need
One
One
One
One


I know its hot
I know weve got
Something that money cant buy
Fighting in fits
Biting your lip
Loving til late in the night
Tell me Im too crazy
You cant tame me, cant tame me
Tell me I have changed
But Im the same me, old same me
Inside
Hey!
If you dont like the way I talk, then why am I on your mind?
If you dont like the way I rock, then finish your glass of wine
We fight and we argue, youll still love me blind
If we dont fuck this whole thing up
Guaranteed, I can blow your mind
Mwah!
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah
Yeah, Im so bad
Best that youve had
I guess youre diggin the show
Open the door
You want some more
When you wanna leave, let me know
Tell me Im too crazy
You cant tame me, cant tame me
Tell me I have changed
But Im the same me, old same me
Inside
Hey!
If you dont like the way I talk, then why am I on your mind?
If you dont like the way I rock, then finish your glass of wine
We fight and we argue, youll still love me blind
If we dont fuck this whole thing up
Guaranteed, I can blow your mind
Mwah!
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah, hey!
And tonight Im alive, aint no dollar sign
Guaranteed I can blow your mind, hey!
Tell me Im too crazy
You cant tame me, cant tame me
Tell me I have changed
But Im the same me, old same me
Inside
Hey!
Mwah!
If you dont like the way I talk, then why am I on your mind?
If you dont like the way I rock, then finish your glass of wine
We fight and we argue, youll still love me blind
If we dont fuck this whole thing up
Guaranteed, I can blow your mind
Mwah!
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah
And tonight Im alive, aint no dollar sign
Guaranteed, I can blow your mind, mwah


I see the moon, I see the moon, I see the moon
Oh, when youre looking at the sun
Im not a fool, Im not a fool, not a fool
No, youre not fooling anyone
Oh, but when youre gone
When youre gone, when youre gone
Oh baby, all the lights go out
Thinking, oh that, baby, I was wrong
I was wrong, I was wrong
Come back to me, baby, we can work this out
Oh baby, come on, let me get to know you
Just another chance so that I can show
That I wont let you down and run
No, I wont let you down and run
Cause I could be the one
I could be the one
I could be the one
I could be the one
I see in blue, I see in blue, I see in blue
Oh, when you see everything in red
There is nothing that I wouldnt do for you
Do for you, do for you
Oh, cause you got inside my head
Oh, but when youre gone
When youre gone, when youre gone
Oh baby, all the lights go out
Thinking, oh that, baby, I was wrong
I was wrong, I was wrong
Come back to me, baby, we can work this out
Oh baby, come on, let me get to know you
Just another chance so that I can show
That I wont let you down and run
No, I wont let you down and run
Cause I could be the one
I could be the one
I could be the one
Be the one, be the one, be the one
Be the one, be the one, be the one
I could be the one
Be the one, be the one, be the one
Be the one, be the one, be the one
I could be the one
Be the one, be the one, be the one
Be the one, be the one, be the one
I could be the one
Be the one, be the one, be the one
Be the one, be the one, be the one
Will you be mine?
Oh baby, come on, let me get to know you
Just another chance so that I can show
That I wont let you down and run
No, I wont let you down and run
Cause I could be the one
I could be the one
I could be the one


I don't want the item, I bought it on accident, can I get a refund?


locations to withdraw money


Why am I being charged twice fro a restaurant?


Is a non-electronic card available as well


Do I have to pay for topping up by transfer?


How do I enable contactless pay?


I checked the exchange rate when I withdrew cash. But the actual rate that you applied was different.


My card was taken from me


I cannot prove my own identity.


What kind of documents do I need for the identity check?


Karolo ya bohlokwa ya basebedisi e bopilwe ka mekga e jwalo ka ditsi tsa merero e fapafapaneng tsa setjhaba e leng di-Multi-purpose Community Centres ( MPCCs ) , Basebeletsi ba Ntshetsopele ya Setjhaba e leng di-Community Development Workers ( CDWs ) le Batho Pele Gateway Call Centre , tse tla thusa ho nolofatsa tshebediso ya weposaete ho bao ba sa kgoneng ho itshebedisetsa Inthanete . Boholo ba tlhahisoleseding e weposaeteng


Link ya www.gov.za e etsa hore o kgone ho fihlela leqephe la South African Government Online , le etsang hore o fihlele weposaete ena ( weposaete ya Ditshebeletso tsa Mmuso ) le weposaete ya Tlhahisoleseding ya Mmuso ( www.info.gov.za ) .


Input: [Level] 378 [Type] Cloth [Slot] Head [Name] Cowl of Highborne Sorcerors [Boss] Mannoroth and Varo'then [Spec]

Output: Spell DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Finger [Slot] Finger [Name] Mannoroth's Signet [Boss] Mannoroth and Varo'then [Spec]

Output: Physical DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Leather [Slot] Head [Name] Helm of Thorns [Boss] Mannoroth and Varo'then [Spec]

Output: Physical DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Leather [Slot] Shoulder [Name] Spaulders of Eternity [Boss] Mannoroth and Varo'then [Spec]

Output: Spell DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Mace [Slot] Two-Hand [Name] Pit Lord's Destroyer [Boss] Mannoroth and Varo'then [Spec]

Output: Melee

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Mail [Slot] Chest [Name] Demonsbane Chestguard [Boss] Mannoroth and Varo'then [Spec]

Output: Spell DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Mail [Slot] Legs [Name] Legguards of the Legion [Boss] Mannoroth and Varo'then [Spec]

Output: Physical DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Plate [Slot] Head [Name] Helm of Power [Boss] Mannoroth and Varo'then [Spec]

Output: Spell DPS

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Plate [Slot] Head [Name] Annihilan Helm [Boss] Mannoroth and Varo'then [Spec]

Output: Tank

Well of Eternity Strategy, Loot, Discussions


Input: [Level] 378 [Type] Staff [Slot] Two-Hand [Name] Thornwood Staff [Boss] Mannoroth and Varo'then [Spec]

Output: Physical DPS

Well of Eternity Strategy, Loot, Discussions


India celebrate India been India it India India Bill Bill


celebrate India been India it India India Bill Bill other


India been India it India India Bill Bill other other


been India it India India Bill Bill other other other


India it India India Bill Bill other other other Bill


it India India Bill Bill other other other Bill Bill


India India Bill Bill other other other Bill Bill Bill


India Bill Bill other other other Bill Bill Bill Bill


Bill Bill other other other Bill Bill Bill Bill Bill


Delicate savage. / You'll never hold the cinder. / But still you will burn.

deh|lax|kaxt sae|vaxjh / yuwl neh|ver hhowld dhax sihn|der / baht stihl yuw wihl bern


A splash and a cry. / Words pulled from the riverside. / Dryed in the hot sun.

ax splaesh aend ax kray / werdz puhld frahm dhax rih|ver|sayd / drayd ihn dhax hhaat sahn


Steamy, mist rising. / Rocks receiving downward crash. / As the jungle weeps.

stiy|miy mihst ray|zaxng / raaks rax|siy|vaxng dawn|werd kraesh / aez dhax jhahng|gaxl wiyps


You were broken glass. / But I touched you even though. / I knew it would hurt.

yuw wer brow|kaxn glaes / baht ay tahcht yuw iy|vaxn dhow / ay nuw iht wuhd hhert


Eyes dance with firelight. / The Moon and I are lovers. / The spiteful sun dies.

ayz daens wihdh faxr|layt / dhax muwn aend ay aar lah|verz / dhax spayt|faxl sahn dayz


I woke up today. / I wanted to write a song. / I wrote a haiku.

ay wowk ahp tax|dey / ay waan|taxd tax rayt ax saong / ay rowt ax hhay|kuw


Know when to quit, friend. / No time to waste in this space. / Live well to the end.

now wehn tax kwiht frehnd / now taym tax weyst ihn dhaxs speys / lihv wehl tax dhax ehnd


Gazing upon plains. / A loving wind warms my nose. / The sun behind me.

gey|zihng ax|paan pleynz / ax lah|vaxng wihnd waormz may nowz / dhax sahn bax|hhaynd miy


The lion limped out. / And flipped his tail at March when. / Fleecy frolicked in.

dhax lay|axn lihmpt awt / aend flihpt hhihz teyl aet maarch wehn / fliy|siy fraa|laxkt ihn


Your words are wounding. / Your tongue, a bloody scalpel. / Your aim, perfection.

yaor werdz aar wuwn|daxng / yaor tahng ax blah|diy skael|paxl / yaor eym per|fehk|shaxn


The game began development in 2010 , carrying over a large portion of the work done on Valkyria Chronicles II . While it retained the standard features of the series , it also underwent multiple adjustments , such as making the game more forgiving for series newcomers . Character designer <unk> Honjou and composer Hitoshi Sakimoto both returned from previous entries , along with Valkyria Chronicles II director Takeshi Ozawa . A large team of writers handled the script . The game 's opening theme was sung by May 'n .


It met with positive sales in Japan , and was praised by both Japanese and western critics . After release , it received downloadable content , along with an expanded edition in November of that year . It was also adapted into manga and an original video animation series . Due to low sales of Valkyria Chronicles II , Valkyria Chronicles III was not localized , but a fan translation compatible with the game 's expanded edition was released in 2014 . Media.Vision would return to the franchise with the development of Valkyria : Azure Revolution for the PlayStation 4 .


= = Gameplay = =


As with previous <unk> Chronicles games , Valkyria Chronicles III is a tactical role @-@ playing game where players take control of a military unit and take part in missions against enemy forces . Stories are told through comic book @-@ like panels with animated character portraits , with characters speaking partially through voiced speech bubbles and partially through unvoiced text . The player progresses through a series of linear missions , gradually unlocked as maps that can be freely scanned through and replayed as they are unlocked . The route to each story location on the map varies depending on an individual player 's approach : when one option is selected , the other is sealed off to the player . Outside missions , the player characters rest in a camp , where units can be customized and character growth occurs . Alongside the main story missions are character @-@ specific sub missions relating to different squad members . After the game 's completion , additional episodes are unlocked , some of them having a higher difficulty than those found in the rest of the game . There are also love simulation elements related to the game 's two main heroines , although they take a very minor role .


"QT @user In the original draft of the 7th book, Remus Lupin survived the Battle of Hogwarts. #HappyBirthdayRemusLupin"


"Ben Smith / Smith (concussion) remains out of the lineup Thursday, Curtis #NHL #SJ"


Sorry bout the stream last night I crashed out but will be on tonight for sure. Then back to Minecraft in pc tomorrow night.


Chase Headley's RBI double in the 8th inning off David Price snapped a Yankees streak of 33 consecutive scoreless innings against Blue Jays


@user Alciato: Bee will invest 150 million in January, another 200 in the Summer and plans to bring Messi by 2017"


@user LIT MY MUM 'Kerry the louboutins I wonder how many Willam owns!!! Look Kerry Warner Wednesday!'


"\"""" SOUL TRAIN\"""" OCT 27 HALLOWEEN SPECIAL ft T.dot FINEST rocking the mic...CRAZY CACTUS NIGHT CLUB ..ADV ticket $10 wt out costume $15..."


So disappointed in wwe summerslam! I want to see john cena wins his 16th title


"This is the last Sunday w/o football .....,NFL is back baby"


@user @user CENA & AJ sitting in a tree K-I-S-S-I-N-G 1st goes AJ's  job then John's cred then goes Vicki with the GM position.


Its Christmas time
Theres no need to be afraid
At Christmas time
We let in light and we banish shade
And in our world of plenty
We can spread a smile of joy
Throw your arms around the world
At Christmas time
But say a prayer
Pray for the other ones
At Christmas time its hard
But when youre having fun
Theres a world outside your window
And its a world of dread and fear
Where the only water flowing
Is the bitter sting of tears
And the Christmas bells that ring there
Are the clanging chimes of doom
Well tonight thank God its them
Instead of you
And there wont be snow in Africa this Christmas time
The greatest gift theyll get this year is life
Where nothing ever grows, no rain or rivers flow
Do they know its Christmas time at all?
Heres to you
Raise a glass for everyone
Heres to them
Underneath that burning sun
Do they know its Christmas time at all?
Feed the world
Feed the world
Feed the world
Let them know its Christmas time again
Feed the world
Let them know its Christmas time again
Feed the world
Let them know its Christmas time again
Feed the world
Let them know its Christmas time again
Feed the world
Let them know its Christmas time again
Feed the world
Let them know its Christmas time again
Feed the world
Let them know its Christmas time again


Came in from a rainy Thursday
On the avenue
Thought I heard you talking softly
I turned on the lights, the TV
And the radio
Still I cant escape the ghost of you
What has happened to it all?
Crazy, somed say
Where is the life that I recognize?
Gone away
But I wont cry for yesterday
Theres an ordinary world
Somehow I have to find
And as I try to make my way
To the ordinary world
I will learn to survive
Passion or coincidence
Once prompted you to say
Pride will tear us both apart
Well now prides gone out the window
Cross the rooftops
Run away
Left me in the vacuum of my heart
What is happening to me?
Crazy, somed say
Where is my friend when I need you most?
Gone away
But I wont cry for yesterday
Theres an ordinary world
Somehow I have to find
And as I try to make my way
To the ordinary world
I will learn to survive
Papers in the roadside
Tell of suffering and greed
Fear today, forgot tomorrow
Ooh, here beside the news
Of holy war and holy need
Ours is just a little sorrowed talk
And I dont cry for yesterday
Theres an ordinary world
Somehow I have to find
And as I try to make my way
To the ordinary world
I will learn to survive
Every world
Is my world
Any world
Is my world
Any world
Is my world
Every world
Is my world


Mine, immaculate dream
Made breath and skin, Ive been waiting for you
Signed, with a home tattoo
Happy birthday to you was created for you
Oh, itll take a little time
Might take a little crime
To come undone now
Well try to stay blind
To the hope and fear outside
Hey child, stay wilder than the wind
And blow me into crime
Who do you need, who do you love
When you come undone?
Who do you need, who do you love
When you come undone?
Words, playing me deja vu
Like a radio tune, I swear Ive heard before
Chills, is it something real
Or the magic Im feeding off your fingers?
Lost, in a snow filled sky
Well make it alright
To come undone now
Well try to stay blind
To the hope and fear outside
Hey child, stay wilder than the wind
And blow me into crime
Who do you need, who do you love
When you come undone?
Who do you need, who do you love
When you come undone?
Who do you need, who do you love
When you come undone?
Who do you need, who do you love?
 Who do you love
When you come undone?


Ha-ha!
Darken the city, night is a wire
Steam in the subway, earth is afire
Do do do do do do do dodo dododo dodo
Woman you want me, give me a sign
And catch my breathing even closer behind
Do do do do do do do dodo dododo dodo
In touch with the ground
Im on the hunt, Im after you
Smell like I sound, Im lost in a crowd
And Im hungry like the wolf
Straddle the line, in discord and rhyme
Im on the hunt, Im after you
Mouth is alive, with juices like wine
And Im hungry like the wolf
Stalked in the forest, too close to hide
Ill be upon you by the moonlight side
Do do do do do do do dodo dododo dodo
High blood drumming on your skin, its so tight
You feel my heat, Im just a moment behind
Do do do do do do do dodo dododo dodo
In touch with the ground
Im on the hunt, Im after you
Scent and a sound, Im lost and Im found
And Im hungry like the wolf
Strut on a line, its discord and rhyme
I howl and I whine Im after you
Mouth is alive, all running inside
And Im hungry like the wolf
Hungry like the wolf
Hungry like the wolf
Hungry like the wolf
Burning the ground, I break from the crowd
Im on the hunt, Im after you
I smell like I sound, Im lost and Im found
And Im hungry like the wolf
Strut on a line, its discord and rhyme
Im on the hunt Im after you
Mouth is alive, with juices like wine
And Im hungry like the wolf
Burning the ground, I break from the crowd
Im on the hunt, Im after you
Scent and a sound, Im lost and Im found
And Im hungry like the wolf
Strut on a line, its discord and rhyme
I howl and I whine Im after you
Mouth is alive, all running inside


Moving on the floor now babe youre a bird of paradise
Cherry ice cream smile I suppose its very nice
With a step to your left and a flick to the right
You catch that mirror way out west
You know youre something special
And you look like youre the best
Her name is Rio and she dances on the sand
Just like that river twisting through a dusty land
And when she shines she really shows you all she can
Oh Rio, Rio dance across the Rio Grande
Ive seen you on the beach and Ive seen you on TV
Two of a billion stars it means so much to me
Like a birthday or a pretty view
But then Im sure that you know its just for you
Her name is Rio and she dances on the sand
Just like that river twisting through a dusty land
And when she shines she really shows you all she can
Oh Rio, Rio dance across the Rio Grande
Hey now woo look at that
Did he nearly run you down?
At the end of the drive the lawmen arrive
You make me feel alive, alive, alive
Ill take my chance cause luck is on my side or something
I know what youre thinking
I tell you something, I know what youre thinking
Her name is Rio and she dances on the sand
Just like that river twists across a dusty land
And when she shines she really shows you all she can
Oh Rio, Rio dance across the Rio Grande
Her name is Rio, she dont need to understand
And I might find her if Im looking like I can
Oh Rio, Rio hear them shout across the land
From mountains in the North down to the Rio Grande


You saw me standing by the wall
Corner of a main street
And the lights are flashing on your window sill
All alone aint much fun
So youre looking for the thrill
And you know just what it takes
And where to go
Dont say a prayer for me now
Save it til the morning after
No, dont say a prayer for me now
Save it til the morning after
Feel the breeze deep on the inside
Look you down into your well
If you can, youll see the world in all his fire
Take a chance like all dreamers
You cant find another way
You dont have to dream it all
Just live a day
Dont say a prayer for me now
Save it til the morning after
No, dont say a prayer for me now
Save it til the morning after
Save it til the morning after
Save it til the morning after
Pretty looking road
I try to hold the rising floods that fill my skin
Dont ask me why, Ill keep my promise
Melt the ice
And you wanted to dance
So I asked you to dance
But fear is in your soul
Some people call it a one-night stand
But we can call it paradise
Dont say a prayer for me now
Save it til the morning after
No, dont say a prayer for me now
Save it til the morning after
Save it til the morning after
Save it til the morning after
Save it til the morning after
Save it til the morning after
Do-do-do-do-do
Do-do-do, do-do-do, do-do
Save a prayer til the morning after
Save a prayer til the morning after
Save a prayer til the morning after
Save a prayer til the morning after...


Sound of Camera shutters flickering
See them walking hand in hand across the bridge at midnight
Heads turning as the lights flashing out its so bright
Then walk right out to the four-line track
Theres a camera rolling on her back, on her back
And I sense the rhythm humming in a frenzy all the way down her spine
Girls on film
Girls on film
Girls on film
Girls on film
Lipstick cherry all over the lens as shes falling
In miles of sharp blue water coming in where she lies
The diving mans coming up for air
Cause the crowd all love pulling dolly by the hair, by the hair
And she wonders how she ever got here as she goes under again
Girls on film
Girls on film
Girls on film
Girls on film
Wider baby smiling you just made a million
Fuses pumping live heat twisting out on a wire
Take one last glimpse into the night
Im touching close Im holding bright, holding tight
Give me shudders in a whisper take me up till Im shooting a star
Girls on film
Girls on film
Girls on film
Girls on film
Girls on film
Girls on film
Girls on film
Girls on film
Girls on film
Girls on film...


Youve gone too far this time
But Im dancing on the Valentine
I tell you somebodys fooling around
With my chances on the danger line
Ill cross that bridge when I find it
Another day to make my stand, oh woah
High time is no time for deciding
If I should find a helping hand, oh woah
Oh, why dont you use it?
Try not to bruise it
Buy time, dont lose it
Oh, why dont you use it?
Try not to bruise it
Buy time, dont lose it
The reflex is a lonely child, whos waiting by the park
The reflex is in charge of finding treasure in the dark
And watching over lucky clover, isnt that bizarre?
And every little thing the reflex does
Leaves you answered with a question mark
Im on a ride, and I want to get off
But they wont slow down the roundabout
I sold the Renoir and TV set
Dont wanna be around when this gets out
So, why dont you use it?
Try not to bruise it
Buy time, dont lose it
Oh, why dont you use it?
Try not to bruise it
Buy time, dont lose it
The reflex is a lonely child, hes waiting in the park
The reflex is in charge of finding treasure in the dark
And watching over lucky clover, isnt that bizarre?
And every little thing the reflex does
Leaves an answer with a question mark
So, why dont you use it?
Try not to bruise it
Buy time, dont lose it
Oh, why dont you use it?
Try not to bruise it
Buy time, dont lose it
The reflex is a lonely child whos waiting by the park
The reflex is in charge of finding treasure in the dark
And watching over lucky clover, isnt that bizarre?
And every little thing the reflex does
Leaves me answered with a question mark
Oh, the reflex, what a game, hes hiding all the cards
The reflex is in charge of finding treasure in the dark
And watching over lucky clover, isnt that bizarre?
And every little thing the reflex does
Leaves you answered with a question mark


No-no-Notorious
Notorious
No-no-Notorious
I cant read about it
Burns the skin from your eyes
Ill do fine without it
Heres one you dont compromise
Lies come hard in disguise
They need to fight it out
Not wild about it
Lay your seedy judgements
Who says theyre part of our lives?
You own the money
You control the witness
Ill leave you lonely
Dont monkey with my business
You pay the prophets to justify your reasons
I heard your promise, but I dont believe it
Thats why Ive done it again
No-No-Notorious
Girls will keep the secrets
So long as boys make a noise
Fools run rings to break up
Something theyll never destroy
Grand Notorious slam
And who really gives a damn for a flaky bandit?
Dont ask me to bleed about it
I need this blood to survive
You own the money
You control the witness
Ill leave you lonely
Dont monkey with my business
You pay the prophets to justify your reasons
I heard your promise, but I dont believe it
Thats why Ive done it again
Notorious
Notorious
You own the money
You control the witness
Ill leave you lonely
Dont monkey with my business
You pay the prophets to justify your reasons
I heard your promise, but I dont believe it
You own the money
You control the witness
Ill leave you lonely
Dont monkey with my business
You pay the prophets to justify your reasons
I heard your promise, but I dont believe it
Thats why Ive done it again
No
No
Thats why Ive done it again
No-Notorious
Yeah, thats why Ive done it again
No-no-Notorious
Yeah, thats why Ive done it again
No-Notorious
No-no-Notorious
Yeah, thats why Ive done it again
No-Notorious
No-no-Notorious!


Meeting you with a view to a kill
Face to face in secret places, feel the chill
Nightfall covers me, but you know the plans Im making
Still overseas, could it be the whole Earth opening wide
A sacred why, a mystery gaping inside
A week is why, until we...
Dance into the fire
That fatal kiss is all we need
Dance into the fire
To fatal sounds of broken dreams
Dance into the fire
That fatal kiss is all we need
Dance into the fire
The choice for you is the view to a kill
Between the shades assassination standing still
Earths crystal tears, the fall of snowflakes on your body
First time in years to drench your skin in lovers rosy stain
A chance to find the phoenix for the flame
A chance to die, but can we...
Dance into the fire
That fatal kiss is all we need
Dance into the fire
To fatal sounds of broken dreams
Dance into the fire
That fatal kiss is all we need
Dance into the fire
When all we see is the view to a kill


The following are multiple choice questions (with answers) about common sense.

Question: The diminishing supply of this nonrenewable resource is not leading to advancements in automotive technology
A. petrol
B. steam
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: Lamps that convert electricity into light and heat aren't known as
A. candle
B. incadescent
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: Which is not needed for photosynthesis to occur
A. energy that takes 8.3 minutes to travel to Earth
B. the 8th entry on the periodic table
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: A creature that is not a biped and which regularly uses tools will occasionally enjoy munching on
A. chia seeds
B. old feces
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: One way to retain your own thermal energy is not to
A. wear fluffy socks
B. sit in snow
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: An extremely rapid surge of rising flood water that moves across usually dry land at about 30 feet or more each second is not powerful enough to
A. lift and carry a tall mountain
B. lift a 250-ton object off the ground
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: A thing's position is not altered when
A. thing feels moved emotionally
B. the thing adjusts its location
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: A pot of pasta is boiling on the stove, and the lid on top of the pot is shaking as the water boils more rapidly. A person goes to the stove and removes the pot, releasing steam into the air above, and so the steam is not
A. water vapor
B. cold air
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: A plant that gets extra minerals such as zinc aren't probably
A. placed in good soil
B. made out of soil
Answer:


The following are multiple choice questions (with answers) about common sense.

Question: Which isn't more likely the result of a big earthquake
A. a big house
B. a mountain
Answer:


Cumings, Mrs. John Bradley (Florence Briggs Thayer)


Futrelle, Mrs. Jacques Heath (Lily May Peel)


Johnson, Mrs. Oscar W (Elisabeth Vilhelmina Berg)


Deep Learning
Assignment 1
The objective of this assignment is to learn about simple data curation practices, and familiarize you with some of the data we'll be reusing later.
This notebook uses the notMNIST dataset to be used with python experiments. This dataset is designed to look like the classic MNIST dataset, while looking a little more like real data: it's a harder task, and the data is a lot less 'clean' than MNIST.

# These are all the modules we'll be using later. Make sure you can import them
# before proceeding further.
from __future__ import print_function
import matplotlib.pyplot as plt
import numpy as np
import os
import sys
import tarfile
from IPython.display import display, Image
from scipy import ndimage
from sklearn.linear_model import LogisticRegression
from six.moves.urllib.request import urlretrieve
from six.moves import cPickle as pickle

# Config the matplotlib backend as plotting inline in IPython
%matplotlib inline

First, we'll download the dataset to our local machine. The data consists of characters rendered in a variety of fonts on a 28x28 image. The labels are limited to 'A' through 'J' (10 classes). The training set has about 500k and the testset 19000 labeled examples. Given these sizes, it should be possible to train models quickly on any machine.

url = 'https://commondatastorage.googleapis.com/books1000/'
last_percent_reported = None
data_root = '.' # Change me to store data elsewhere

def download_progress_hook(count, blockSize, totalSize):
  """A hook to report the progress of a download. This is mostly intended for users with
  slow internet connections. Reports every 5% change in download progress.
  """
  global last_percent_reported
  percent = int(count * blockSize * 100 / totalSize)

  if last_percent_reported != percent:
    if percent % 5 == 0:
      sys.stdout.write("%s%%" % percent)
      sys.stdout.flush()
    else:
      sys.stdout.write(".")
      sys.stdout.flush()

    last_percent_reported = percent

def maybe_download(filename, expected_bytes, force=False):
  """Download a file if not present, and make sure it's the right size."""
  dest_filename = os.path.join(data_root, filename)
  if force or not os.path.exists(dest_filename):
    print('Attempting to download:', filename)
    filename, _ = urlretrieve(url + filename, dest_filename, reporthook=download_progress_hook)
    print('\nDownload Complete!')
  statinfo = os.stat(dest_filename)
  if statinfo.st_size == expected_bytes:
    print('Found and verified', dest_filename)
  else:
    raise Exception(
      'Failed to verify ' + dest_filename + '. Can you get to it with a browser?')
  return dest_filename

train_filename = maybe_download('notMNIST_large.tar.gz', 247336696)
test_filename = maybe_download('notMNIST_small.tar.gz', 8458043)

Extract the dataset from the compressed .tar.gz file.
This should give you a set of directories, labeled A through J.

num_classes = 10
np.random.seed(133)

def maybe_extract(filename, force=False):
  root = os.path.splitext(os.path.splitext(filename)[0])[0]  # remove .tar.gz
  if os.path.isdir(root) and not force:
    # You may override by setting force=True.
    print('%s already present - Skipping extraction of %s.' % (root, filename))
  else:
    print('Extracting data for %s. This may take a while. Please wait.' % root)
    tar = tarfile.open(filename)
    sys.stdout.flush()
    tar.extractall(data_root)
    tar.close()
  data_folders = [
    os.path.join(root, d) for d in sorted(os.listdir(root))
    if os.path.isdir(os.path.join(root, d))]
  if len(data_folders) != num_classes:
    raise Exception(
                                                                                'Expected %d folders, one per class. Found %d instead.' % (
        num_classes, len(data_folders)))
  print(data_folders)
  return data_folders

train_folders = maybe_extract(train_filename)
test_folders = maybe_extract(test_filename)

Problem 1
Let's take a peek at some of the data to make sure it looks sensible. Each exemplar should be an image of a character A through J rendered in a different font. Display a sample of the images that we just downloaded. Hint: you can use the package IPython.display.

# Solution for Problem 1
import random
print('Displaying images of train folders')
# Looping through train folders and displaying a random image of each folder
for path in train_folders:
    image_file = os.path.join(path, random.choice(os.listdir(path)))
    display(Image(filename=image_file))

print('Displaying images of test folders')
# Looping through train folders and displaying a random image of each folder
for path in test_folders:
    image_file = os.path.join(path, random.choice(os.listdir(path)))
    display(Image(filename=image_file))

Now let's load the data in a more manageable format. Since, depending on your computer setup you might not be able to fit it all in memory, we'll load each class into a separate dataset, store them on disk and curate them independently. Later we'll merge them into a single dataset of manageable size.
We'll convert the entire dataset into a 3D array (image index, x, y) of floating point values, normalized to have approximately zero mean and standard deviation ~0.5 to make training easier down the road.
A few images might not be readable, we'll just skip them.

image_size = 28  # Pixel width and height.
pixel_depth = 255.0  # Number of levels per pixel.

def load_letter(folder, min_num_images):
  """Load the data for a single letter label."""
  image_files = os.listdir(folder)
  dataset = np.ndarray(shape=(len(image_files), image_size, image_size),
                         dtype=np.float32)
  print(folder)
  num_images = 0
  for image in image_files:
    image_file = os.path.join(folder, image)
    try:
      image_data = (ndimage.imread(image_file).astype(float) -
                    pixel_depth / 2) / pixel_depth
      if image_data.shape != (image_size, image_size):
        raise Exception('Unexpected image shape: %s' % str(image_data.shape))
      dataset[num_images, :, :] = image_data
      num_images = num_images + 1
    except IOError as e:
      print('Could not read:', image_file, ':', e, '- it\'s ok, skipping.')

  dataset = dataset[0:num_images, :, :]
  if num_images < min_num_images:
    raise Exception('Many fewer images than expected: %d < %d' %
                    (num_images, min_num_images))

  print('Full dataset tensor:', dataset.shape)
  print('Mean:', np.mean(dataset))
  print('Standard deviation:', np.std(dataset))
  return dataset

def maybe_pickle(data_folders, min_num_images_per_class, force=False):
  dataset_names = []
  for folder in data_folders:
    set_filename = folder + '.pickle'
    dataset_names.append(set_filename)
    if os.path.exists(set_filename) and not force:
      # You may override by setting force=True.
      print('%s already present - Skipping pickling.' % set_filename)
    else:
      print('Pickling %s.' % set_filename)
      dataset = load_letter(folder, min_num_images_per_class)
      try:
        with open(set_filename, 'wb') as f:
          pickle.dump(dataset, f, pickle.HIGHEST_PROTOCOL)
      except Exception as e:
        print('Unable to save data to', set_filename, ':', e)

  return dataset_names

train_datasets = maybe_pickle(train_folders, 45000)
test_datasets = maybe_pickle(test_folders, 1800)

Problem 2
Let's verify that the data still looks good. Displaying a sample of the labels and images from the ndarray. Hint: you can use matplotlib.pyplot.

# Solution for Problem 2
def show_first_image(datasets):
      for pickl in datasets:
        print('Showing a first image from pickle ', pickl)
        try:
            with open(pickl, 'rb') as f:
                letter_set = pickle.load(f)
                plt.imshow(letter_set[0])
        except Exception as e:
            print('Unable to show image from pickle ', pickl, ':', e)
            raise
print('From Training dataset')
show_first_image(train_datasets)
print('From Test Dataset')
show_first_image(test_datasets)

Problem 3
Another check: we expect the data to be balanced across classes. Verify that.

def show_dataset_shape(datasets):
    for pickl in datasets:
        try:
            with open(pickl, 'rb') as f:
                letter_set = pickle.load(f)
                print('Shape of pickle ', pickl, 'is', np.shape(letter_set))
        except Exception as e:
            print('Unable to show image from pickle ', pickl, ':', e)
            raise

print('Shape for Training set')
show_dataset_shape(train_datasets)
print('Shape for Test set')
show_dataset_shape(test_datasets)

Merge and prune the training data as needed. Depending on your computer setup, you might not be able to fit it all in memory, and you can tune train_size as needed. The labels will be stored into a separate array of integers 0 through 9.
Also create a validation dataset for hyperparameter tuning.

def make_arrays(nb_rows, img_size):
  if nb_rows:
    dataset = np.ndarray((nb_rows, img_size, img_size), dtype=np.float32)
    labels = np.ndarray(nb_rows, dtype=np.int32)
  else:
    dataset, labels = None, None
  return dataset, labels

def merge_datasets(pickle_files, train_size, valid_size=0):
  num_classes = len(pickle_files)
  valid_dataset, valid_labels = make_arrays(valid_size, image_size)
  train_dataset, train_labels = make_arrays(train_size, image_size)
  vsize_per_class = valid_size // num_classes
  tsize_per_class = train_size // num_classes

  start_v, start_t = 0, 0
  end_v, end_t = vsize_per_class, tsize_per_class
  end_l = vsize_per_class+tsize_per_class
  for label, pickle_file in enumerate(pickle_files):
    try:
      with open(pickle_file, 'rb') as f:
        letter_set = pickle.load(f)
        # let's shuffle the letters to have random validation and training set
        np.random.shuffle(letter_set)
        if valid_dataset is not None:
          valid_letter = letter_set[:vsize_per_class, :, :]
          valid_dataset[start_v:end_v, :, :] = valid_letter
          valid_labels[start_v:end_v] = label
          start_v += vsize_per_class
          end_v += vsize_per_class

        train_letter = letter_set[vsize_per_class:end_l, :, :]
        train_dataset[start_t:end_t, :, :] = train_letter
        train_labels[start_t:end_t] = label
        start_t += tsize_per_class
        end_t += tsize_per_class
    except Exception as e:
      print('Unable to process data from', pickle_file, ':', e)
      raise

  return valid_dataset, valid_labels, train_dataset, train_labels

"""
train_size = 200000
valid_size = 10000
test_size = 10000
"""
train_size = 20000
valid_size = 1000
test_size = 1000

valid_dataset, valid_labels, train_dataset, train_labels = merge_datasets(
  train_datasets, train_size, valid_size)
_, _, test_dataset, test_labels = merge_datasets(test_datasets, test_size)

print('Training:', train_dataset.shape, train_labels.shape)
print('Validation:', valid_dataset.shape, valid_labels.shape)
print('Testing:', test_dataset.shape, test_labels.shape)

Next, we'll randomize the data. It's important to have the labels well shuffled for the training and test distributions to match.

def randomize(dataset, labels):
  permutation = np.random.permutation(labels.shape[0])
  shuffled_dataset = dataset[permutation,:,:]
  shuffled_labels = labels[permutation]
  return shuffled_dataset, shuffled_labels
train_dataset, train_labels = randomize(train_dataset, train_labels)
test_dataset, test_labels = randomize(test_dataset, test_labels)
valid_dataset, valid_labels = randomize(valid_dataset, valid_labels)

Problem 4
Convince yourself that the data is still good after shuffling!

print('Printing Train, validation and test labels after shuffling')
def print_first_10_labels(labels):
    printing_labels = []
    for i in range(10):
        printing_labels.append(labels[[i]])
    print(printing_labels)
print_first_10_labels(train_labels)
print_first_10_labels(test_labels)
print_first_10_labels(valid_labels)

Finally, let's save the data for later reuse:

pickle_file = os.path.join(data_root, 'notMNIST.pickle')

try:
  f = open(pickle_file, 'wb')
  save = {
    'train_dataset': train_dataset,
    'train_labels': train_labels,
    'valid_dataset': valid_dataset,
    'valid_labels': valid_labels,
    'test_dataset': test_dataset,
    'test_labels': test_labels,
    }
  pickle.dump(save, f, pickle.HIGHEST_PROTOCOL)
  f.close()
except Exception as e:
  print('Unable to save data to', pickle_file, ':', e)
  raise

statinfo = os.stat(pickle_file)
print('Compressed pickle size:', statinfo.st_size)

Problem 5
By construction, this dataset might contain a lot of overlapping samples, including training data that's also contained in the validation and test set! Overlap between training and test can skew the results if you expect to use your model in an environment where there is never an overlap, but are actually ok if you expect to see training samples recur when you use it.
Measure how much overlap there is between training, validation and test samples.
Optional questions:
- What about near duplicates between datasets? (images that are almost identical)
- Create a sanitized validation and test set, and compare your accuracy on those in subsequent assignments.

Problem 6
Let's get an idea of what an off-the-shelf classifier can give you on this data. It's always good to check that there is something to learn, and that it's a problem that is not so trivial that a canned solution solves it.
Train a simple model on this data using 50, 100, 1000 and 5000 training samples. Hint: you can use the LogisticRegression model from sklearn.linear_model.
Optional question: train an off-the-shelf model on all the data!

logreg_model_clf = LogisticRegression()
nsamples, nx, ny = train_dataset.shape
d2_train_dataset = train_dataset.reshape((nsamples,nx*ny))
logreg_model_clf.fit(d2_train_dataset, train_labels)
from sklearn.metrics import accuracy_score
nsamples, nx, ny = valid_dataset.shape
d2_valid_dataset = valid_dataset.reshape((nsamples,nx*ny))
print("validation accuracy,", accuracy_score(valid_labels, logreg_model_clf.predict(d2_valid_dataset)))
nsamples, nx, ny = test_dataset.shape
d2_train_dataset = test_dataset.reshape((nsamples,nx*ny))
print("test accuracy,", accuracy_score(test_labels, logreg_model_clf.predict(d2_train_dataset)))

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bf_qt_scraping
This notebook describes how hotel data can be scraped using PyQT.
The items we want to extract are:
- the hotels for a given city
- links to each hotel page
- text hotel summary
- text hotel description
Once the links for each hotel are determined, I then want to extract the following items pertaining to each review:
- title
- author
- text
- rating

import sys
from PyQt4.QtGui import *
from PyQt4.QtCore import *
from PyQt4.QtWebKit import *
from lxml import html

class Render(QWebPage):
    def __init__(self, url):
        self.app = QApplication(sys.argv)
        QWebPage.__init__(self)
        self.loadFinished.connect(self._loadFinished)
        self.mainFrame().load(QUrl(url))
        self.app.exec_()

    def _loadFinished(self, result):
        self.frame = self.mainFrame()
        self.app.quit()

    def update_url(self, url):
        self.mainFrame().load(QUrl(url))
        self.app.exec_()

url = 'http://www.bringfido.com/lodging/city/new_haven_ct_us'
#This does the magic.Loads everything
r = Render(url)
#result is a QString.
result = r.frame.toHtml()

# result

#QString should be converted to string before processed by lxml
formatted_result = str(result.toAscii())

#Next build lxml tree from formatted_result
tree = html.fromstring(formatted_result)

tree.text_content

#Now using correct Xpath we are fetching URL of archives
archive_links = tree.xpath('//*[@id="results_list"]/div')
print archive_links

url = 'http://pycoders.com/archive/'
r = Render(url)
result = r.frame.toHtml()

#QString should be converted to string before processed by lxml
formatted_result = str(result.toAscii())

tree = html.fromstring(formatted_result)

#Now using correct Xpath we are fetching URL of archives
archive_links = tree.xpath('//*[@class="campaign"]/a/@href')

# for lnk in archive_links:
#     print(lnk)

url = 'http://www.bringfido.com/lodging/city/new_haven_ct_us'
r = Render(url)
result = r.frame.toHtml()

#QString should be converted to string before processed by lxml
formatted_result = str(result.toAscii())

tree = html.fromstring(formatted_result)

#Now using correct Xpath we are fetching URL of archives
archive_links = tree.xpath('//*[@id="results_list"]/div')

print(archive_links)
print('')

for lnk in archive_links:
    print(lnk.xpath('div[2]/h1/a/text()')[0])
    print(lnk.text_content())
    print('*'*25)

links = []
for lnk in archive_links:
    print(lnk.xpath('div/h1/a/@href')[0])
    links.append(lnk.xpath('div/h1/a/@href')[0])
    print('*'*25)

lnk.xpath('//*/div/h1/a/@href')[0]

links

Loading Reviews
Next, we want to step through each page, and scrape the reviews for each hotel.

url_base = 'http://www.bringfido.com'
r.update_url(url_base+links[0])
result = r.frame.toHtml()

#QString should be converted to string before processed by lxml
formatted_result = str(result.toAscii())

tree = html.fromstring(formatted_result)

hotel_description = tree.xpath('//*[@class="body"]/text()')

details = tree.xpath('//*[@class="address"]/text()')

address = details[0]
csczip = details[1]
phone = details[2]

#Now using correct Xpath we are fetching URL of archives
reviews = tree.xpath('//*[@class="review_container"]')

texts = []
titles = []
authors = []
ratings = []

print(reviews)
print('')
for rev in reviews:
    titles.append(rev.xpath('div/div[1]/text()')[0])
    authors.append(rev.xpath('div/div[2]/text()')[0])
    texts.append(rev.xpath('div/div[3]/text()')[0])
    ratings.append(rev.xpath('div[2]/img/@src')[0].split('/')[-1][0:1])
    print(rev.xpath('div[2]/img/@src')[0].split('/')[-1][0:1])

titles

authors

texts

ratings

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Executed: Mon Mar 27 11:39:24 2017
Duration: 7 seconds.
usALEX-5samples - Template

This notebook is executed through 8-spots paper analysis.
For a direct execution, uncomment the cell below.

ph_sel_name = "None"

data_id = "12d"

# data_id = "7d"

from fretbursts import *

init_notebook()
from IPython.display import display

data_dir = './data/singlespot/'

import os
data_dir = os.path.abspath(data_dir) + '/'
assert os.path.exists(data_dir), "Path '%s' does not exist." % data_dir

from glob import glob
file_list = sorted(f for f in glob(data_dir + '*.hdf5') if '_BKG' not in f)
## Selection for POLIMI 2012-11-26 datatset
labels = ['17d', '27d', '7d', '12d', '22d']
files_dict = {lab: fname for lab, fname in zip(labels, file_list)}
files_dict

data_id

leakage_coeff_fname = 'results/usALEX - leakage coefficient DexDem.csv'
leakage = np.loadtxt(leakage_coeff_fname)

print('Leakage coefficient:', leakage)

Load the direct excitation coefficient ($d_{exAA}$) from disk:

dir_ex_coeff_fname = 'results/usALEX - direct excitation coefficient dir_ex_aa.csv'
dir_ex_aa = np.loadtxt(dir_ex_coeff_fname)

print('Direct excitation coefficient (dir_ex_aa):', dir_ex_aa)

Load the gamma-factor ($\gamma$) from disk:

gamma_fname = 'results/usALEX - gamma factor - all-ph.csv'
gamma = np.loadtxt(gamma_fname)

print('Gamma-factor:', gamma)

Update d with the correction coefficients:

d.leakage = leakage
d.dir_ex = dir_ex_aa
d.gamma = gamma

Laser alternation selection
At this point we have only the timestamps and the detector numbers:

d.ph_times_t[0][:3], d.ph_times_t[0][-3:]#, d.det_t

print('First and last timestamps:  {:10,}  {:10,}'.format(d.ph_times_t[0][0], d.ph_times_t[0][-1]))
print('Total number of timestamps: {:10,}'.format(d.ph_times_t[0].size))

We need to define some parameters: donor and acceptor ch, excitation period and donor and acceptor excitiations:

We should check if everithing is OK with an alternation histogram:

If the plot looks good we can apply the parameters with:

loader.alex_apply_period(d)

print('D+A photons in D-excitation period: {:10,}'.format(d.D_ex[0].sum()))
print('D+A photons in A-excitation period: {:10,}'.format(d.A_ex[0].sum()))

Measurements infos
All the measurement data is in the d variable. We can print it:

Compute background
Compute the background using automatic threshold:

d.calc_bg(bg.exp_fit, time_s=60, tail_min_us='auto', F_bg=1.7)

dplot(d, timetrace_bg)

d.rate_m, d.rate_dd, d.rate_ad, d.rate_aa

d.burst_search(L=10, m=10, F=7, ph_sel=Ph_sel('all'))

print(d.ph_sel)
dplot(d, hist_fret);

# if data_id in ['7d', '27d']:
#     ds = d.select_bursts(select_bursts.size, th1=20)
# else:
#     ds = d.select_bursts(select_bursts.size, th1=30)

ds = d.select_bursts(select_bursts.size, add_naa=False, th1=30)

n_bursts_all = ds.num_bursts[0]

def select_and_plot_ES(fret_sel, do_sel):
    ds_fret= ds.select_bursts(select_bursts.ES, **fret_sel)
    ds_do = ds.select_bursts(select_bursts.ES, **do_sel)
    bpl.plot_ES_selection(ax, **fret_sel)
    bpl.plot_ES_selection(ax, **do_sel)
    return ds_fret, ds_do

ax = dplot(ds, hist2d_alex, S_max_norm=2, scatter_alpha=0.1)

if data_id == '7d':
    fret_sel = dict(E1=0.60, E2=1.2, S1=0.2, S2=0.9, rect=False)
    do_sel = dict(E1=-0.2, E2=0.5, S1=0.8, S2=2, rect=True)
    ds_fret, ds_do = select_and_plot_ES(fret_sel, do_sel)

elif data_id == '12d':
    fret_sel = dict(E1=0.30,E2=1.2,S1=0.131,S2=0.9, rect=False)
    do_sel = dict(E1=-0.4, E2=0.4, S1=0.8, S2=2, rect=False)
    ds_fret, ds_do = select_and_plot_ES(fret_sel, do_sel)

elif data_id == '17d':
    fret_sel = dict(E1=0.01, E2=0.98, S1=0.14, S2=0.88, rect=False)
    do_sel = dict(E1=-0.4, E2=0.4, S1=0.80, S2=2, rect=False)
    ds_fret, ds_do = select_and_plot_ES(fret_sel, do_sel)

elif data_id == '22d':
    fret_sel = dict(E1=-0.16, E2=0.6, S1=0.2, S2=0.80, rect=False)
    do_sel = dict(E1=-0.2, E2=0.4, S1=0.85, S2=2, rect=True)
    ds_fret, ds_do = select_and_plot_ES(fret_sel, do_sel)

elif data_id == '27d':
    fret_sel = dict(E1=-0.1, E2=0.5, S1=0.2, S2=0.82, rect=False)
    do_sel = dict(E1=-0.2, E2=0.4, S1=0.88, S2=2, rect=True)
    ds_fret, ds_do = select_and_plot_ES(fret_sel, do_sel)

n_bursts_do = ds_do.num_bursts[0]
n_bursts_fret = ds_fret.num_bursts[0]

n_bursts_do, n_bursts_fret

d_only_frac = 1.*n_bursts_do/(n_bursts_do + n_bursts_fret)
print('D-only fraction:', d_only_frac)

dplot(ds_fret, hist2d_alex, scatter_alpha=0.1);

dplot(ds_do, hist2d_alex, S_max_norm=2, scatter=False);

bandwidth = 0.03

E_range_do = (-0.1, 0.15)
E_ax = np.r_[-0.2:0.401:0.0002]

E_pr_do_kde = bext.fit_bursts_kde_peak(ds_do, bandwidth=bandwidth, weights='size',
                                       x_range=E_range_do, x_ax=E_ax, save_fitter=True)

mfit.plot_mfit(ds_do.E_fitter, plot_kde=True, bins=np.r_[E_ax.min(): E_ax.max(): bandwidth])
plt.xlim(-0.3, 0.5)
print("%s: E_peak = %.2f%%" % (ds.ph_sel, E_pr_do_kde*100))

nt_th1 = 50

dplot(ds_fret, hist_size, which='all', add_naa=False)
xlim(-0, 250)
plt.axvline(nt_th1)

Th_nt = np.arange(35, 120)
nt_th = np.zeros(Th_nt.size)
for i, th in enumerate(Th_nt):
    ds_nt = ds_fret.select_bursts(select_bursts.size, th1=th)
    nt_th[i] = (ds_nt.nd[0]  + ds_nt.na[0]).mean() - th

plt.figure()
plot(Th_nt, nt_th)
plt.axvline(nt_th1)

nt_mean = nt_th[np.where(Th_nt == nt_th1)][0]
nt_mean

Fret fit
Max position of the Kernel Density Estimation (KDE):

E_pr_fret_kde = bext.fit_bursts_kde_peak(ds_fret, bandwidth=bandwidth, weights='size')
E_fitter = ds_fret.E_fitter

E_fitter.histogram(bins=np.r_[-0.1:1.1:0.03])
E_fitter.fit_histogram(mfit.factory_gaussian(center=0.5))

E_fitter.fit_res[0].params.pretty_print()

fig, ax = plt.subplots(1, 2, figsize=(14, 4.5))
mfit.plot_mfit(E_fitter, ax=ax[0])
mfit.plot_mfit(E_fitter, plot_model=False, plot_kde=True, ax=ax[1])
print('%s\nKDE peak %.2f ' % (ds_fret.ph_sel, E_pr_fret_kde*100))
display(E_fitter.params*100)

Gaussian fit (using burst size as weights):

ds_fret.fit_E_generic(fit_fun=bl.gaussian_fit_hist, bins=np.r_[-0.1:1.1:0.005], weights='size')

E_kde_w = E_fitter.kde_max_pos[0]
E_gauss_w = E_fitter.params.loc[0, 'center']
E_gauss_w_sig = E_fitter.params.loc[0, 'sigma']
E_gauss_w_err = float(E_gauss_w_sig/np.sqrt(ds_fret.num_bursts[0]))
E_gauss_w_fiterr = E_fitter.fit_res[0].params['center'].stderr
E_kde_w, E_gauss_w, E_gauss_w_sig, E_gauss_w_err, E_gauss_w_fiterr

Stoichiometry fit
Max position of the Kernel Density Estimation (KDE):

S_pr_fret_kde = bext.fit_bursts_kde_peak(ds_fret, burst_data='S', bandwidth=0.03) #weights='size', add_naa=True)
S_fitter = ds_fret.S_fitter

S_fitter.histogram(bins=np.r_[-0.1:1.1:0.03])
S_fitter.fit_histogram(mfit.factory_gaussian(), center=0.5)

fig, ax = plt.subplots(1, 2, figsize=(14, 4.5))
mfit.plot_mfit(S_fitter, ax=ax[0])
mfit.plot_mfit(S_fitter, plot_model=False, plot_kde=True, ax=ax[1])
print('%s\nKDE peak %.2f ' % (ds_fret.ph_sel, S_pr_fret_kde*100))
display(S_fitter.params*100)

S_kde = S_fitter.kde_max_pos[0]
S_gauss = S_fitter.params.loc[0, 'center']
S_gauss_sig = S_fitter.params.loc[0, 'sigma']
S_gauss_err = float(S_gauss_sig/np.sqrt(ds_fret.num_bursts[0]))
S_gauss_fiterr = S_fitter.fit_res[0].params['center'].stderr
S_kde, S_gauss, S_gauss_sig, S_gauss_err, S_gauss_fiterr

The Maximum likelihood fit for a Gaussian population is the mean:

S = ds_fret.S[0]
S_ml_fit = (S.mean(), S.std())
S_ml_fit

Computing the weighted mean and weighted standard deviation we get:

weights = bl.fret_fit.get_weights(ds_fret.nd[0], ds_fret.na[0], weights='size', naa=ds_fret.naa[0], gamma=1.)
S_mean = np.dot(weights, S)/weights.sum()
S_std_dev = np.sqrt(
        np.dot(weights, (S - S_mean)**2)/weights.sum())
S_wmean_fit = [S_mean, S_std_dev]
S_wmean_fit

The following string contains the list of variables to be saved. When saving, the order of the variables is preserved.

variables = ('sample n_bursts_all n_bursts_do n_bursts_fret '
             'E_kde_w E_gauss_w E_gauss_w_sig E_gauss_w_err E_gauss_w_fiterr '
             'S_kde S_gauss S_gauss_sig S_gauss_err S_gauss_fiterr '
             'E_pr_do_kde nt_mean\n')

This is just a trick to format the different variables:

variables_csv = variables.replace(' ', ',')
fmt_float = '{%s:.6f}'
fmt_int = '{%s:d}'
fmt_str = '{%s}'
fmt_dict = {**{'sample': fmt_str},
            **{k: fmt_int for k in variables.split() if k.startswith('n_bursts')}}
var_dict = {name: eval(name) for name in variables.split()}
var_fmt = ', '.join([fmt_dict.get(name, fmt_float) % name for name in variables.split()]) + '\n'
data_str = var_fmt.format(**var_dict)

print(variables_csv)
print(data_str)

# NOTE: The file name should be the notebook name but with .csv extension
with open('results/usALEX-5samples-E-corrected-all-ph.csv', 'a') as f:
    f.seek(0, 2)
    if f.tell() == 0:
        f.write(variables_csv)
    f.write(data_str)

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