http://www.speakers-podium.com/susangranger.
Susan Granger's review of "CENTER STAGE" (Columbia Pictures)
Think "Fame" meets "The Turning Point" or "The Red Shoes" and you have the concept of this backstage story set at Lincoln Center's prestigious and, at times, pretentious American Ballet Theater. Directed by Nicholas Hytner ("The Madness of King George," "The Crucible"), it's filled with enthusiasm and good intentions, offering a glimpse into the demanding world of ballet, complete with bruises and bandages. Amanda Schull stars as a beautiful, blue-eyed blond with "bad feet" who temporarily pirouettes into the affections of Ethan Stiefel, a principal dancer with the ABT who could be the next Mikhail Barishnikov. They're surrounded by stereotypical "A Chorus Line"-types - the bulimic prodigy (Susan May Pratt) with a pushy mother (Debra Monk), the edgy rebel (Zoe Saldana) with a bad attitude, the best-friend (Shakiem Evans), the romantic (Sascha Radetsky), the Russian (ice-skating champion Ilia Kulik) and faculty members (Peter Gallagher, Donna Murphy). It's all very familiar: there are six spots in the company to be filled - who will get them? And the screenplay by Carol Heikkinen ("The Thing Called Love," "Empire Records") is corny, filled to the brim with cliches. It's hard not to chuckle at: "I'm not dancing for them anymore - I'm dancing for me." Make no mistake: this no "Dirty Dancing" or "Flashdance." Yet there's aerobic jazz and salsa, as well as the classic tradition of Tchiakovsky and Prokofiev. To me, the highlights were Stiefel's performing "Stars and Stripes," choreographed by George Balanchine, and the hip finale, set to the rock music of Michael Jackson. Basically, this is TV fare that will probably be far more satisfying on video. On the Granger Movie Gauge of 1 to 10, "Center Stage" is a graceful 4. But it's the dancing that scores, not the drama.
The review above was posted to the
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The Internet Movie Database accepts no responsibility for the contents of the
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Related links: index of all rec.arts.movies.reviews reviews


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Norway's Telenor sold remaining VEON stake in $362 mln deal
by ReutersOSLO — Norway’s Telenor said on Friday it had sold its remaining 157 million shares in telecoms group VEON for $362 million.
“This transaction is in line with the previously communicated strategy and concludes the final sell-down in VEON,” Telenor said. “Citi has been Telenor counterpart for the sale.”
(Reporting by Terje Solsvik; Editing by Edmund Blair)


There are {{ combinations }} different combinations from these Hyper
Parameters.
The Hyper Parameters will be used to construct the optimization
search space. Katib will be generating Trials to test different
combinations of these parameters in order to find the optimal set.


-
What Do I Know of Desire
by Spencer Williams on October 29, 2017
I.
I say to you, bring me the meat
of my maker on a golden plate.
Tip his mouth to mine and force
the honey from it.
Kiss the bitter of the unbeliever’s
tongue, the parching red.
Notice: a burn present
on the underside of my left arm,
grinning. Notice too the bone
between my lips, like road-kill
trapped beneath the chemical
girth of the sun.
II.
In the trappings of night,
I gleam with aftermath,
sweet dew imprinted on a bed sheet
in a room with no windows.

If I know anything, it is the maw
of my historic caught fooling
in another man’s mouth.
Touched Nerve. Bodily Insult.
I stain myself for warmth, see.
I lather in my stew.
III.
At night I touch myself
and it is the same as crying.
Once, in a wild misinterpretation,
I tried to picture myself all the way
through and became so distracted
by my slack-jawed expression
that I could not complete.
IV.
This is where shame kicks
down the wooden door and tugs
at my arms. I shake my head like
the rain is holding it.  I cum and
feel ashamed that I had nothing
at all to do with it. Perhaps my
body, in a biblical sense,
is synonymous with a physical
shame not immediately felt,
though inflicted gradually
by way of ubiquitous haunt.
For instance, I tremble in rooms
I know to be warm. I lift my skirt
and bones orchestrate their clatter
on the kitchen floor.
V.
 She is blamed
for her pleasure and stripped
of a name. The man she communes
with does not constitute an utterance,
is never once threatened by
the surface of a killing stone.
The adulteress is saved
only in the promise that she
sleeps alone, or only with the man
who is a ghost in this story.
In my version, I sleep with
many ghosts, birth many
oceans. My skin, lost beneath
the surface of my hands. I sin,
repeat. Repeat.
VI.
As if solitude demands it
I sleep now in the nude beneath
the buffer of a corpse cold sheet.
Once, over cheese fries,
I asked a friend a question that answered
itself: Am I insecure?
She responded:
You’re eating cheese fries.
Later on, I told her I could masturbate
without using my hands.
This is a lie. I did not actually
tell her this. But pleasure is a finger
-less talent of mine. It is one
I have been doing this entire time.
-
What Do I Know of Desire
by Jay Vera Summer on October 29, 2017
Squint and it’s half-blue, bright
blue, cobalt, atop half-green, grass
green, bubbling up, gray
orb in the middle.
Tilt and it’s white light, yellow
lightning, strikes kaleidoscoping
in corners blue, gray, green.
Open and it’s a brooke, a bike
path, a hundred thousand trees
piled on top of each other, reminding
you life is just God dealing a deck of cards,
blue and green dealing.
-
2 poems
by Joseph Sheeha on October 29, 2017
On the Rim of Heaven
Everything remains in the certainty of forgetting.
I wanted blindness in the long film of memory, the mysteries
of past cities thrown against the sky between the warring provinces.
There will be heaven among these holy sites and the songs
are almost crippling to hear now, the women of musical talent
from such distant shores. You have felt what the world is like
but those moments have passed and I run upstairs again to listen
for the beginning of all things, racing for the open sea.
These lines become meaningless like the likenesses of souls
confined to sweetness in the birth pangs of another century.
Sunday at DawnIt may be you were born
under similar circumstances, that the air you breathe
draws blood just as easily, that in the undertow we share
the seasons are aligned
and the poems that we’ve kept quiet
have flooded the distance of our bruises…
It’s true, I’ve cried too much
to allow myself the benefit of compromise
holding tight to the nights I spent
under birdless skies
before I talked with the sun
and the city I had, filled with angels
in their white dresses, kept vigil
in a swirl of sparrows.
In tramping through those streets
we looked for what remained of September
as the gashes healed making room for the frayed
edges of our fingers.
Our spiral ringed notebooks still missing,
I held you for a summer.
-
three poems
by Alyssa Froehling on October 29, 2017
the animal shelter
you have the skinny dog haggardness of it
the gritty slicked slip of it
on the rain’s long skirts, with your sewn on black shoes
the choke chain tree of it has settled, embedded
in the hill’s neck, where you are, where it is
somewhere there is an electrified pool outlet,
a little winter weather’s jealousy next to a diver’s kit
and you are sitting on the edge practicing bowing your head to your knees
biting coins to give your breath some value once you finally gather the courage to drop everything you own and leave, you are
practicing ducking from bullets whistling “you are my sunshine” in the breeze
you understand this, i don’t, you do
you’ve made plans:
when the rust dissolves the bike lock, you are going to run
because right now you have the floating, struggling openness of it
the backyard manmade lake lyme disease of it, from
where you are, where it is
you don’t know how alone you look, how tired you are
barking in your sleep while everyone else howls abysmal holes to the sky
reflected back into their faces,
they have the pockmarked fullness of it
they are the full bird theatre of it, night feather shakes and earthquakes,
glassy awake eyes in glass sockets
necks perched on swivel chairs
you are the warm placidity
the sun rolling its muscles
through the unstitching navy yard
through the window and into my cereal bowl
you understand this though, when i don’t
i cannot replace you and if i could my honesty would fly
like a set spring of a dismantled pen or
a gentleman’s hat freshly stolen by the wind
or anticipation of a stranger’s thrown fist
knocking on wood instead of the faux golden handle
you are silent, you make your bed inside of a beehive on a muted TV
it is always quiet where you are, where it is, when you’re witmost kinds of cheese truly disgust me but you have the opposite effect
i don’t need the moon
as long as i have lights perched at intervals along the road
like white and yellow birds who believe they have found special metal trees
and are therefore too proud to leave
i don’t need the moon
as long as i have your distorted reflection looking at me
through the cracks in a broken and recently-
eager-esophagus-emptied-water glass
i don’t need to be over anything to love you
and i don’t have to make a fool of myself to prove it, like
leaping around in a field of sleeping cows while wearing a fishbowl on my head
pretending to be a lost astronaut to cope with it,
or something to that effectemetophobia
what i mean to say, what i meant to say,
i mean
is that i’m happy you decided not to invite me
to that party you hosted when everyone was home
you’ve been saying life has never been so good lately
so i imagine him looking at you like you are happy
not the emotion, but a physical thing he can pick up
and pocket and carry with him,
i mean, i don’t know
maybe you are a nightlight or the last battery left
in the kitchen drawer, maybe you are the color yellow
not like jaundice but sleepy sun stillness
oh and speaking of illness i’m still mental
because i think about vomiting at least twice a day
and it makes me want to die
i live with tomato soup in my throat
and i can feel it boiling on the back of my tongue
when i sleep
when i lay on my side
let me tell you, my mind cooks up the perfect grilled cheese
to go with it
so thank you, for not inviting me, it would’ve been embarrassing
for everyone to see me cry and say the word regurgitation like a choke in my throat, thank you
i woke up six times last night
and the air kind of sounded like it was made of flies
they tell me it’s blood in my ears but i know
my plasma is mixed with crumbs and the daily meal’s chunks
anyway, it kind of reminded me
of how he thought love was the way bugs crawl over fruit
all tongues all touch
how he thought maybe it was the way
the wind filled up plastic bags and carried them for a little while down the road
before sticking them to some slimier bit of pavement
or maybe a flood prevention drainage vent
i feel best when i’m not looked at
i wish no one could see me
i wish i didn’t have a body
-
If You Don’t Have A Piano, What Do You Have?
by Luisa Aparisi-França on October 29, 2017
There is a pianist who has been forbidden from playing at a concert.
In protest he is carrying a dead deer on his shoulders, from time to time rolling it on the ground or up a hill. He will carry this deer until he reaches the doors of the city, and play piano there.
I can’t remember why they won’t let him play—it’s a matter of government—but the man’s got to have some authority to have this many news vans following him around.
Nobody asks him where he got the deer.
What an artist, people say.
I’ve heard people call a guy who set fire to a piano on the beach an artist too, so maybe it’s not the person that makes the artist, but the piano.
Which begs the question: If you don’t have a piano, what do you have?
Maybe this is why they don’t let the pianist play.
He’d be wildly popular, his music new and unfamiliar.
He’d probably play on the strings of the piano, not the keys.
He’d start a movement from the inside out, where he’d draw on a history of teachers, pulling them out from under the hood of the piano, gutting the instrument.
He’d start with Van Cliburn, who learned to sing piano from his mother long before he even knew how to play it,
and she learned it from Arthur Friedheim, who learned it from Franz Liszt, who in turn
studied under Carl Czerny, who himself was a student of Beethoven.
And Beethoven was taught music in the mud,
his teachers radiating from the palms of his hands in an eclipse of sound.
And this is why people say that a man carrying a dead deer on his shoulders is a dangerous artist, because a labor of love has history.
Why else would a pianist put so much faith in animal sacrifice?
Although, granted, we don’t know if he killed the deer or found it that way.
But the point is that a labor of love was loved long before anyone else got there.
For all I know, the pianist is still trudging uphill, wearing his muse like some burdensome, antlered scarf. I’m sure he looks ridiculous, like a peacock.
Did you ever hear the story of the peacock?
The story goes that when the world began the peacock was ugly.
It was ugly, but it could fly, and it would fly over everything and cry at how beautiful everything was. In the end the peacock got his wish to be beautiful, but at the price of becoming flightless and having limited mobility. Like a glorified turkey.
Poor guy.
But maybe not.
People tend to dismiss the aesthetics of things under some sense of superior morality.
Like you would read a book in a font you didn’t like.
Maybe the pianist just wants to give us our bread and circuses.
Maybe he’s attempting alchemy, trying to breathe music into the dead deer’s fur.
Maybe he’s desperate.
Or maybe he ends up sitting around his house like Liberace, keeping himself secret and doing anything but play piano when he isn’t at a concert,
the huge gaudy things gathering dust like Christmas ornaments,
the faceless piano player crying all the way to the bank.


Exercise 9.
A payday lender loans you $400, with a fee of $60 due when you pay the loan back in two weeks. If the lender believes there is a 5% chance that you will not pay back the loan at all, what is the expected value for the lender?
A payday lender loans you $400, with a fee of $60 due when you pay the loan back in two weeks. If the lender believes there is a 5% chance that you will not pay back the loan at all, what is the expected value for the lender?


---
layout: post
title: Film props
date: '2017-09-02T11:30:19+02:00'
categories:
- Grand Froid
- Storyboards
picture_url: https://film-Storyboards.tumblr.com/post/164899402515/film-props
---
Film props test for Grand Froid’s Edmond Zweck funeral parlour. Watch more Storyboards and graphic design works for Grand Froid


CHAPTER 611
COUNSEL AND OTHER SERVICES FOR INDIGENT
DEFENDANTS
REPEALED. L 1971, c 185, §2; L Sp 1981 1st, c 22, §3.
Cross References
For present provisions, see chapter 802.


关键书籍：
- A New Kind of Science
- The Princeton Companion to Mathematics
- The Road to Reality
计算机科学：
- The Elements of Computing Systems
- Turing(1936)（文章）
数学：
- The Unreasonable Effectiveness of Mathmatics in the Natural Sciences（文章）
- Godel's Proof
- Mathematics- A Very Short Introduction
智力史：
- Mathematical Thought From Ancient To Modern Times
经济学：
解决问题：
- Science and Method, Henri Poincare, CH3, Mathmatical Creation
- The Art of Problem Solving（文章）, A. Gardiner
- Mathematical Problem Solving, Alan Schoenfeld
- Solving Mathemacal Problems, Terrance Tao
神经科学：
- Thinking Fast and Slow
- Probably Approximately Correct
个人提高：
目录
上一节
下一节


Before Sunrise (1995)
|
|
"Jesse: People always talk about how great technology is, how it saves all this time. But what good is saved time if nobody uses it? It just turns into more busy work."
|
|
"Celine: If there’s any kind of magic in this world…it must be in the attempt of understanding someone, sharing something."
|
|
“But isn’t everything we do in life a way to be loved a little more?”
|
|
"Celine: I like to feel his eyes on me…when I look away."
 Have fun with everything you’re gonna do.”
|
|
“She spent her whole life…dreaming about another man she was always in love with.”
|
|
"Celine: Are you trying to say you want to kiss me?
Jesse: Yes."
|
Before Sunset (2004)
|
| “You can’t live your life trying to avoid pain…” |
| “Life’s hard. It’s supposed to be. If we didn’t suffer, we wouldn’t learn a thing.” |
| “The past is the past. It was meant to be that way.” |
|
"Celine: Sometimes I put things in drawers inside my head and forget about it. It’s less painful to put things away than live with it."
|
|
“I guess a memory’s never finished as long as you’re alive.”
|
|
“Sometimes I worry I’ll get to the end of my life…feeling I haven’t done all I wanted to.”
|
|
“My heart will stay yours until I die.”
|
Before Midnight (2013)
|
|
“Doesn’t that say it all? Penis first, then the rest of the world.”
|
|
"Céline: If we were meeting for the first time today on a train, would you find me attractive? Would you start talking to me? Would you ask me to get off the train with you?"
 It’s accepting you for being you.”
|
|
“This is where it ends. This is how people start breaking up.”
|
|
“This is where it ends. This is how people start breaking up.”
|
|
"Jesse: When I was younger, I just wanted time to speed up.  When I was younger, I just wanted time to speed up."
 That is me."
|
|
"Celine: But not knowing is not so bad. I mean, the point is to be looking, searching, to stay hungry, right?"
|
|
"Jesse: I am giving you my whole life, okay? I got nothing larger to give."
|
|
“Doesn’t that say it all? Penis first, then the rest of the world.”
|


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Below you can view a list of talks I've either given previously or plan to give at an upcoming event.
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@(user:_root_.securesocial.core.Identity) @headContent = { } @content = {
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Please enter the name of the organization you'd like to create below:


the
gæan
mind
©reation
the
gaian mind
photosynthetic
sloths of
amazonia
Great Mother
of the
Gods
forests
as
sanctuaries
Instructions
for the
Kali Yuga
Kids Lib
Now!
archaic
technology
of
ecstasy
DEOXY.ORG


You can use recipes you find on your favorite websites online, pdfs and images you save to your computer, or even those written in books and papers that you've collected. Alternatively, you could find recipes from our own database.
You can either upload recipes from your computer, or via a web page link, or you can manually create a recipe using our easy-to-follow form.
Share your recipes with others you think will enjoy them. And who knows? Maybe they'll have some recipes to share with you, too!


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Team
For the Dat project, see the Dat Team page.
Administrators
Max Ogden
Director
Programmer based in Portland, OR. Founder of the Dat Project and Code for Science and Society.
Keith Chreston
Secretary-Treasurer
Over 30 years experience as a senior financial executive and consultant with several businesses and non-profit organizations. He is a CPA (inactive) and former auditor with Ernst & Young.
Kristen Ratan
Advisor
Co-Founder of the Collaborative Knowledge Foundation, a nonprofit with a mission to evolve how knowledge is created, produced, and shared.
Waldo Jaquith
Advisor
Director of U.S. Open Data and a Shuttleworth Foundation Fellow.


-
Notes for Storytelling with data
Introduction: It’s too easy today to generate tables, charts, graphs. There were times when people did illustrations by hand, which meant you had to think before committing pen to paper. Having all the information in the world at our fingertips ...…
-
Notes for Antifragile
Prologue: Wind extinguishes a candle and energizes a fire. Some things benefit from shocks, they thrive and grow when exposed to voltality, randomness, disorder, stressors and love adeventure, risk and uncertainity. Antifragile is beyond resili...…
-
Notes for Designing Data-Intensive Applications
Preface: Today is the day of buzz words - NoSQL, Big Data, Web-scale, Sharding, Eventual consistency, ACID, CAP theorem, Cloud services, MapReduce, Real-time Driving forces for development in data related systems Huge scale needs effici...…
-
Notes for Why We Sleep?
To Sleep: Insufficient sleep is the key reason for demolishing of immune system and increases the risk of diseases like Cancer, Alzheimers, Hearth Attack, Diabetes, Depression, Anxiety etc. Too little sleep swells concentrations of hormone that ...…
-
Notes for Confirmation Bias
Confirmation Bias Confirmation bias is our tendency to interpret facts or events in a way that confirms our pre-existing beliefs. Asking “What information would make you change your mind?”. If the answer to this is nothing then you know it.…
-
Notes for The Fearless Organisation
Preface: Today’s world is all about knowledge workers and they need to innovate continuously. For this to happen, they need to be able to share concerns, questions, mistakes and even half-formed ideas. Psychological safety is the key to perform...…
-
Notes for an intro to psychology!
Week 2: Rene Descartes’s Philosophy Story of moving statue Concept of Soul/Dual Nature James Mill Idea of Materialism Empiricism Luigi Galvini’s Frog experiment Paul Broca Broca’s Area in Brain related to production of sp...…
-
Notes for an intro to psychology!
Video 1: Psychology comes from latin meaning study of soul The science of behavior and mental processes Various schools of thought Structuralism Wilhelm Wundt Functionalism William J...…
-
An introduction to neuromarketing!
Week 1: Neuromarketing vs Consumer Neuroscience Commercial vs Academic Multidisciplinary ie Economics, Psychology and Neuroscience Neuroscience vs Neurology Cognitive(Mental) or Affective(Emotional) Neuroscience Traditional...…
-
Visual Perception and the Brain!
Week 1: Can’t explain perception which is the end result of vision Perception is what we are aware of Physical Measurements are objective Psychophysical Measurements are subjective Perception of Luminacnce Relative Lightness Mea...…
-
The Nervous System!
Part 1: Sensory input -> integration -> motor output CNS And PNS PNS Sensory or affrent division picks up stimuli Motor or effernt division responds to stimuli Somatic nervous system (Voluntary) rules skelet...…
-
Brain and behaviour - Regulating body weight!
Week 1: Energy in = Energy out Energy out Physical Exercise Basal Matabolic Rate Diet-Induced Thermogenesis 5 meals a day Food triggers People with you Visual Cues Time of the day Comfort foods ...…
-
Computational Neuroscience!

-
Good Brain Bad Brain!
Week 1: Gyrus are the parts of the brain visible on the surface between the grooves The bag that keeps the chemicals together is known as the cell membrane and the chemicals themselves are all that is necessary for that cell to be alive. Accord...…
-
Fundamentals of Neuroscience!
Course 0: Guided Interaction Key to human brain is not the size but the inner wiring, it’s structure and function Nervous System CNS (Central Nervous System) contains brain and spinal cord PNS (Peripheral Nervous System) contains ...…
-
Understanding the Brain - The Neurobiology of Everyday Life!
Week 1: Locked-in Syndrome Diving Bell and the Butterfly Four functions Voluntary Movement MotorNeurons Brain Stem or Spinal Cord Perception Awareness of a Sensation ...…
-
Notes for Deep Learning fast.ai MOOC!
Lesson 0: Incredibly flexible function (NN), all-purpose parameter fitting(Backprop), fast and scalable(GPU) made DL possible ?? before any function describes the function in Ipynb Shift + Enter in Ipynb Try things with your own dataLesson 1: ...…
-
Design Patterns
Lesson 0: Experience Reuse Obeserver Pattern Decorator Pattern Factory Pattern Singleton Pattern Command Pattern Adapter and Facade Pattern Template Method Pattern Iterator and Composite Pattern State Pattern Proxy Pattern Compound Pat...…
-
Notes for CNN for Visual Recognition!
Lesson 1: Today is age of images/video but image/video data is hard to use Computer Vision as an interdisciplinary field Eye as an inspiration for big bang of species Vision important for speciation in the early evolution of the species Mecha...…
-
Notes for Deep Learning STAT 946
Lesson 6: Network with atleast one convolutional layer Three stages Convolution function (Discrete Convolution) Detection Eg. ReLU Pooling Convolution vs Cross Corelation (Replace + by - in convolution) Convolved Featu...…


I wanted to know what it takes to create and deploy an machine learning model from training the model to running it on real-world data. This is my attempt at creating an end-to-end ML app and this page documents the code, links to resources, design process and the reasons for doing a particular thing when numerous choices exist.
Since there is no easy and official way to get IMDB reviews I turned to The Movie Databse TMDb. TMDb provides a neat and consistent API to fetch nearly everything that appears on their website. One can get the API key here by creating an account.
The code is organized into three repositories:
Model
GitHub Repo: https://github.com/deepakduggirala/movie-review-sentiment-classifier-model
I chose a linear model to get started quickly and set up the pipeline. I can always revisit the model to improve the accuracy once the entire pipeline is set-up. I started with this Kaggle Notebook but switched out most of the code with my own.
Data
I downloaded the data from Kaggle which is taken from Large Movie Review Dataset
Even though the dataset is supposed to split into 25k training and 25k test data, I thought 50:50 split is wasteful and split it into 40K training and 10k test examples.
Training
Step1: Text Preprocessing:
- Strip HTML tokens
- Replace accented characters with ascii
- Expand contractions
- Lowercase text
- Remove extra newlines
- Lemmatize text
- Remove special characters and digits
- Remove extra spaces
- Remove Stop Words
Step2: After processing the text turn them into 1&2 gram tokens.
Step3: Filter tokens which frequently as well as the tokens that rarely occur using TF-IDF
normalize_text_transformer = FunctionTransformer(normalize_corpus)
tfidf = TfidfVectorizer(min_df=2, max_df=0.5, ngram_range=(1, 2))
lr = LogisticRegression(penalty='l2',max_iter=500,random_state=42)
pipeline = Pipeline([
('normalize_text', normalize_text_transformer),
('tfidf', tfidf),
('lr', lr)
])
Performance Metrics
Training Accuracy: 0.951575
Metrics on the Test Set:
- Accuracy: 0.8993
- Precision: 0.8904
- Recall: 0.9106
- F1 Score: 0.9004
Serializing and saving the model
import joblib
joblib.dump(pipeline, 'tf-idf-linear-regression.pkl')
When joblib serializes pipeline it remembers the import information of the objects in it. If you used custom transformers you need it define exactly the same way as they were when the pipeline is save when you load it back again.
For this reason, define all the code that goes into pipeline in a separate module, that can imported the same way in the server.
# In the Jupyter Notebook
from build_library.utils import normalize_corpus
normalize_text_transformer = FunctionTransformer(normalize_corpus)
# build pipelin
pipeline = Pipeline([
('normalize_text', normalize_text_transformer),
('tfidf', tfidf),
('lr', lr)
])
# save pipeline
joblib.dump(pipeline, 'tf-idf-linear-regression.pkl')
# In Server
from build_library.utils import normalize_corpus
def load_model():
return joblib.load('tf-idf-linear-regression.pkl')
Source: https://rebeccabilbro.github.io/module-main-has-no-attribute/
Inference API
GitHub Repo: https://github.com/deepakduggirala/movie-review-sentiment-classifier-app
flask server
I used flask because, I wanted a straightforward and simple server as I have only one path to expose as a service, which is /predict.
pipenv
pipenv
is the yarn
of Python Universe. It figures out which versions of dependencies to
downloads, installs them and creates a lock file to reproduce the same environment years later, even if the some
of the packages increase versions.
# Install pipenv
pip install pipenv
# start the virtual environment
pipenv shell
# Install dependencies
pipenv install flask numpy beautifulsoup4 unidecode contractions nltk
# Generate the lock file and finalize before deploying
pipenv lock
See more of Pipenv here: https://realpython.com/pipenv-guide/
Containerization
FROM python:3.9-buster
# From Google Cloud Run Tutorials
# Allow statements and log messages to immediately appear in the Knative logs
ENV PYTHONUNBUFFERED True
# Set the initial working directory for the image to the /app folder
ENV APP_HOME /app
WORKDIR $APP_HOME
# Adds Pipfile and Pipefile.lock into the image in the /app folder.
COPY Pipfile* /app/
# In conjuction with copying the Pipfile & Pipefile.lock above
# this will install the pipenv tool, and then install all of the
# defined dependencies for this application as part of the image.
RUN pip install --upgrade pip pipenv && \
pipenv lock -v --keep-outdated --requirements > requirements.txt && \
pip install -r requirements.txt
# The app folder is copied towards the end of the image creation
# since it tends to change more often than the previous steps,
# and therefore we can take advantage of Docker's caching to speed
# up subsequent builds which leads to a faster build/rebuild cycle.
COPY app /app
# From Google Cloud Run Tutorials
# Run the web service on container startup. Here we use the gunicorn
# webserver, with one worker process and 8 threads.
# For environments with multiple CPU cores, increase the number of workers
# to be equal to the cores available.
CMD exec gunicorn --bind :$PORT --workers 1 --threads 8 --timeout 0 app:app
I struggled starting the application with pipenv run
starting gunicorn
. So I generated
requirements.txt using pipenv and then installed these dependencies using
Test in Local
# Build the image
docker build -t movie-review-sentiment-clf
# Run it
# --rm: the container after stopping
# -d: run the container in detached mode
# -p: expose the container port on local netowrk
# --env: Before starting the container set these as environment variables
docker run --rm -d -p 8080:8080 --env PORT=8080 movie-review-sentiment-clf
# See the logs
docker logs
#Stop the container
docker stop $container_ID
Deployment
As per some of the blog posts, I tried to deploy this docker image in Amazon Web Services EC2 Virtual Machines. I installed docker after spinning up a default VM with port 80 exposed in security groups
sudo amazon-linux-extras install docker
sudo yum install docker
sudo service docker start
sudo usermod -a -G docker ec2-user
Uploaded my project directory and built the docker image and ran it.
But the free tier offers only upto 1GB memory and I noticed that it isn’t sufficient to run the container.
For this reason, I switched to Google Cloud Run which can natively support running docker images
Google Cloud Run
I set up a project in GCP, enabled cloud run, cloud registry and cloud build. Apart from the Google Cloud Registry rest of them have a free tier.
I followed this tutorial to set up cloud run: https://cloud.google.com/run/docs/quickstarts/prebuilt-deploy
Google Cloud Registry
Tutorial: https://cloud.google.com/container-registry/docs/quickstart
Pricing: https://cloud.google.com/container-registry/pricing
Push Docker images to google container registry
gcloud auth login
docker tag 64dc240a9174 us.gcr.io/movie-review-sentiment-clf/movie-review-sentiment-clf
docker push us.gcr.io/movie-review-sentiment-clf/movie-review-sentiment-clf
Google Cloud Build
Tutorial: https://cloud.google.com/build/docs/quickstart-deploy
Pricing: https://cloud.google.com/build/pricing
Configuring cloud build allows you to deploy newer images after a code push to GitHub.
UI
GitHub Repo: https://github.com/deepakduggirala/movie-review-sentiment-classifier-ui
For UI the plan is to create 3 pages
- A page to show the trending movies and TV shows (
/
) - Another one to show all the reviews for a selected movie or TV show (
/reviews/:media_type/:id
) - A page to randomly select movies and TV shows and display a random review from them
(
/reviews/trending
)
I chose to use Javascript on the Server (node.js) because it incredibly easy to make asynchronous calls to multiple APIs that can depend on the data of previous calls. Here, I need to call multiple endpoints on TMDb and Inference API for each result from the previous step. In other languages, to acheive this I would need to either use Threads or an Event loop library, but this is native to Javascript using Promises.
The below code makes an API call to get the trending movie, then multiple concurrent API calls to get the reviews
for each movie / TV show, then shuffles them randomly and picks maxReviewsPerMedia
reviews for each
movie, flattens the array and then finally returns before shuffling randomly all the items again,
function getTrendingReviews(maxReviewsPerMedia, trendingPage) {
trendingPage = trendingPage || randInt(1,11)
maxReviewsPerMedia = maxReviewsPerMedia || 1
return getTrending(trendingPage)
.then(mediaItems => {
return Promise.allSettled(mediaItems.map(item => {
return getReviews(item.media_type, item.id)
.then(reviews => {
shuffled_review = random_shuffle(reviews)
return shuffled_review
.slice(0, maxReviewsPerMedia)
.map(review => getReviewCardData(item, review))
})
}));
})
.then(results => {
return random_shuffle(results
.filter(result => result.status === 'fulfilled')
.map(result => result.value)
.flat()
)
})
}
Server Rendering with Handlebars
As there are only three pages, all of them to display the data, no components to take user input, and virtually no state to manage between pages, I chose not to use any front-end frameworks (React, Vue.js) and using javascript on the client side (jquery) quickly turns into a quite a mess.
This leaves with only one option that is to construct all the HTML needed on the server side.
There are many template engines to use with Express. I used express-handlebars which is an implementation of handlebarsjs for Express server since I used this before in my work.
This view engine organizes the pages into heirarchies.
- Layout Code: views/layouts/main.handlebars
- Functional Components: views/*.handlebars
- Partials: views/partials/*.handlebars
The common code with Doctype
, <head>
, <body>
goes into
views/layouts/main.handlebars
. The code for each page gets its own file in views/
. This
file is referenced when in res.render
Tailwinds CSS
Use wonderfully named CSS class names to style the page. See the docs here
I saw this youtube video get started with TailwindCSS: https://www.youtube.com/watch?v=UBOj6rqRUME
Install tailwindcss
# Install tailwindcss
npm install tailwindcss postcss autoprefixer
Add the build step to package.json to run it as an npm sccript
"scripts": {
"build:css": "export NODE_ENV=production; tailwind build src/style.css -o dist/style.css",
"dev:css": "tailwind build src/style.css -o dev/style.css",
"start": "node index.js"
},
Create dev and dist directories, npm run build:css
creates a minimal style.css in
./dist
and npm run dev:css
creates a full style.css in ./dev
./dev
contains index.html
and other files that I use to develope iteratively and
./dist
contains style.css
and favicon.ico
that is used by the Express to
serve static files.
Create ./src/style.css
to keep the custom css classes.
Create tailwind.config.js using npx tailwindcss init
. (see more details here).
Normally, tailwind build src/style.css -o dist/style.css
creates a style.css with 3.73 MB with
150,000 lines of code. If you want to generate style.css for only the classes used in code, add all the handlebars
files in purge key of tailwind.config.css
and run
tailwind build src/style.css -o dist/style.css
with environment variable
NODE_ENV=production
module.exports = {
purge: [
'./views/*.handlebars',
'./views/layouts/*.handlebars',
'./views/partials/*.handlebars'
],
...
UI Design
- I used cards to display most of the data and I had fun making everything colorful :)
- The most difficult for me is the reponsive web design because I wanted to make the UI look good even on mobiles. Writing screen size aware code and fixing layout glitches took up bulk of my time spent on this project.
Deployment
I used Heroku to deploy this node.js app because I already used it for deploying a sample node.js application before. Hosting is free here but Heroku scales down your app when there are no requests for half hour.
The deployment couldn’t be any simpler as it’s just a git push. Because heroku makes assumptions about your project, the simple default projects doesn’t need deployment configuration.
Heroku clones your repo, install dependencies from package.json using npm install
and runs
npm start
to start the application. Heroku also expects your app to run on port specified by the
environment variable PORT
I followed this guide to deploy my application.
First Steps:
# install heroku cli
brew install heroku/brew/heroku
# login
heroku login
# change to your project directory
cd movie-review-sentiment-classifier-ui
# create an application on heroku. This create git repo and adds "heroku" remote
heroku create
# Deploy
git push heroku master
# Open the deployed application in browser
heroku open
# See application logs
heroku logs --tail
Recurring Steps:
git add .
git commit -m "changes..."
git push heroku master
heroku logs --tail
Changing Application Name
The name of application is randomly generated when heroku create
is ran. This name is also used in
application’s URL. This can be changed in Heroku UI -> Dashboard -> project -> Settings. After changing
this remove the heroku remote and add new remote
git remote remove heroku
git remote add heroku https://git.heroku.com/review-clf-deepak-duggirala.git
git push heroku master
Environment Variables
In your app’s setting you can add the environment variables the app expects using Config Vars section or using the cli
# export TIMES=2
heroku config:set TIMES=2
# see all config
heroku config
This Page
This page uses https://www.tailwindtoolbox.com/templates/minimal-blog template and PrismJS for code highlighting.


POS tags
| Open class words | Closed class words | Other |
|---|---|---|
| ADJ | ADP | PUNCT |
| ADV | AUX | SYM |
| INTJ | CCONJ | X |
| NOUN | DET | |
| PROPN | NUM | |
| VERB | PART | |
| PRON | ||
| SCONJ |
ADJ
: adjective
Definition
Adjectives are words that typically modify nouns and specify their properties or attributes. They may also function as predicates, as in
Ця машина є зелена. “The car is green.”
The ADJ
tag is intended for ordinary adjectives only. See DET
for determiners and NUM for cardinal numerals.
In accord with the UD approach, adjectival ordinal numerals (перший, сьомий, стошістдесятий) are tagged as adjectives, although the traditional grammar classifies them as numerals. They behave like adjectives both morphologically and syntactically, with the exception that they cannot be compared and negated.
Most Ukrainian adjectives inflect for uk-feat/Gender (великий – велика – велике) “big”, uk-feat/Number (великий – великі), and uk-feat/Case (великий – великого – великому – великим – великім), uk-feat/Degree (великий – більший – найбільший).
Examples
- великий “big”
- старий “old”
- зелений “green”
- батьків, материн “father’s, mother’s” (possessive adjectives)
- перший, другий, третій “first, second, third”
- зроблений “done” (passive perfective participial adjective)
- роблений “being done” (passive imperfective participial adjective)
- роблячий “doing” (present participial adjective - it is considered ungrammatical but still used occasionally, which is why it is encoded)
- зробивший “having done” (past participial adjective - it is considered ungrammatical but still used occasionally, which is why it is encoded)
ADP
: adposition
Definition
Ukrainian has only prepositions but no postpositions or circumpositions. They occur before a complement noun phrase (noun, pronoun) and they form a single structure with the complement to express its grammatical and semantic relation to another unit within a clause.
Some prepositions take the form of fixed multiword expressions, e.g. на відміну від “in contrast to”, у зв’язку з
“in connection with”. The component words are then still tagged according to their basic use (на is ADP
, відміну is NOUN, etc.) and their status as multiword expressions are accounted for in the syntactic annotation.
Examples
- в “in, at”
- до “to”
- протягом “during”
ADV
: adverb
Definition
Adverbs are words that typically modify verbs for such categories as time, place, direction or manner. They may also modify adjectives and other adverbs, as in дуже важливо “very significantly” or явно неправильний “provably wrong”.
There is a closed subclass of pronominal adverbs that refer to circumstances in context, rather than naming them directly; similarly
to pronouns, these can be categorized as interrogative, relative, demonstrative etc. Pronominal adverbs also get the ADV
part-of-speech tag but they are differentiated by additional features.
Examples
- дуже “very”
- добре “well”
- точно “exactly”
- завтра “tomorrow”
- вгору, вниз “up, down”
- ordinal numeral adverbs: вперше, вдруге, втретє “for the first time, for the second time, for the third time”
- multiplicative numeral adverbs: двічі, тричі “twice, three times”
- interrogative adverbs: де, куди, коли, як, чому “where, where to, when, how, why”
- demonstrative adverbs: тут, там, зараз, тоді, так “here, there, now, then, so”
- indefinite adverbs: десь, кудись, іноді, якось “somewhere, to somewhere, sometime, somehow”
- total adverbs: всюди, завжди “everywhere, always”
- negative adverbs: ніде, ніколи “nowhere, never”
AUX
: auxiliary verb
Definition
The only auxiliary verb in Ukrainian is бути “to be”. It accompanies the lexical verb of a verb phrase and expresses grammatical distinctions not carried by the lexical verb.
CCONJ
: coordinating conjunction
Definition
A coordinating conjunction is a word that links words or larger constituents without syntactically subordinating one to the other and expresses a semantic relationship between them.
For subordinating conjunctions, see SCONJ.
Examples
- і, й, та “and”
- або “or”
- але “but”
DET
: determiner
Definition
Determiners are words that modify nouns or noun phrases and express the reference of the noun phrase in context. That is, a determiner may indicate whether the noun is referring to a definite or indefinite element of a class, to a closer or more distant element, to an element belonging to a specified person or thing, to a particular number or quantity, etc.
An important point to note is that the traditional grammar of Ukrainian does not define determiners as a separate word class. Ukrainian does not have articles. Most determiners are traditionally called pronouns; that is, an UD-conformant annotation of Ukrainian must distinguish between substantive pronouns (UD tag PRON) and attributive pronouns (UD tag DET
).
Examples
- possessive determiners: мій, твій, його, її, наш, ваш, їх “my, your, his, her, our, your, their”
- reflexive possessive determiner: свій “one’s own”
- demonstrative determiners: той, цей as in Цю машину я бачила вчора. “I saw this car yesterday.”
- interrogative determiners: котрий as in Котра машина тобі подобається? “Which car do you like?”
- relative determiners: котрий as in Мені цікаво, котра машина тобі подобається. “I wonder which car you like.”
- relative possessive determiner: чий “whose”
- indefinite determiners: деякий, якийсь
- total determiners: кожен, всякий
- negative determiners: жоден, ніякий as in Ми не маємо жодної машини. “We have no cars available.”
References
INTJ
: interjection
Definition
An interjection is a word that is used most often as an exclamation or part of an exclamation. It typically expresses an emotional reaction, is not syntactically related to other accompanying expressions, and may include a combination of sounds not otherwise found in the language.
Examples
(Note that no direct translation of interjections is possible. The approximate translations below are for orientation purposes and they cannot serve to judge the part of speech from the English perspective.)
- ах “oh”
- бум
- ну “well”
- ба “look”
- браво “bravo”
NOUN
: noun
Definition
The NOUN
tag is intended for common nouns only. See PROPN for
proper nouns and PRON for pronouns.
Ukrainian nouns have the lexical feature uk-feat/Gender. Furthermore, the nouns inflect for uk-feat/Number and uk-feat/Case.
A verbal noun can be derived productively from almost every verb
(e.g. читати “to read” → читання “reading”).
While in other languages a corresponding form may be called gerund and tagged VERB,
in Ukrainian it is tagged NOUN
. It has always the neuter gender and the full
number-case inflectional paradigm.
Examples
- дівчинка “girl”
- кіт “cat”
- дерево “tree”
- повітря “air”
- краса “beauty”
- плавання “swimming”
NUM
: numeral
Definition
A numeral is a word, functioning most typically as a determiner, adjective or pronoun, that expresses a number and a relation to the number, such as quantity, sequence, frequency or fraction.

Ukrainian grammar distinguishes several subclasses of pronominal numerals (quantifiers):
interrogative and relative (скільки “how many”);
demonstrative (стільки “this many”);
indefinite (кілька, багато, мало “several, many, few”).
These words behave similarly to (most) cardinal numbers, e.g. they require that the counted noun phrase be in genitive and have different forms depending on the case (with the exception of мало “little, few”. They are not similar to adjectives (unlike their English counterparts). However, in accord with the UD standard, they should be tagged DET, not NUM
.
In addition, several types of (non-pronominal) numerals, such as ordinal numerals and multiplicative numerals, are tagged ADJ or ADV, based on their syntactic and morphological behavior.
Examples
- 0, 1, 2, 3, 4, 5, 2014, 1000000, 3.14159265359
- I, II, III, IV, V, MMXIV
- один, два, три, чотири, п’ять, сімдесят “one, two, three, four, five, seventy”
- половина, третина, четвертина (чверть) “one-half, one third, quarter”: denominators of fractions constitute a separate class of cardinal numerals. (They are not considered numerals in the Ukrainian grammar. They are tagged NOUN.)
- четверо, п’ятеро “four, five” (These are special forms, so-called generic numerals.)
- одні, двоє, троє “one set of, two sets of, three sets of”
Counterexamples
- перший, другий, третій “first, second, third”: adjectival ordinal numerals. They are tagged ADJ, and the uk-feat/NumType feature reveals their semantic relation to numbers.
- вперше, вдруге, втретє “for the first time, for the second time, for the third time”: adverbial ordinal numerals. They are tagged ADV, and the uk-feat/NumType feature reveals their semantic relation to numbers.
- двічі, тричі “twice, three times”: multiplicative numerals. They are tagged ADV, and the uk-feat/NumType feature reveals their semantic relation to numbers.
- двійня, дует, трійня, тріо, квартет “pair, triplet, foursome”: n-tuples (n-tice) are not considered numerals in the Ukrainian grammar. They are tagged NOUN.
- одиниця, двійка, трійка, четвірка, п’ятірка “number one, number two, number three, number four, number five”: names of numbers, or of objects identified by the number (e.g. of a bus route). They are not considered numerals and they are tagged NOUN.
- тисяча, мільйон, мільярд, трильйон “thousand, million, billion, trillion”: words for large quantities are ambiguous between cardinal numerals (tagged
NUM
) and nouns. If they inflect as nouns, they are tagged NOUN; but the borderline is fuzzy. For instance, in phrases like тисячі людей взяли участь в демонстації (“thousands of people demonstrated in the streets”), тисячі is a noun. In numeric expressions, e.g. 132 тисячі доларів (“132 thousand dollars”), it is a cardinal numeral.
PART
: particle
Definition
Particles are function words that must be associated with another word or phrase to impart meaning and that do not satisfy definitions of other universal parts of speech (e.g. adpositions, coordinating conjunctions, or subordinating conjunctions). Particles may encode grammatical categories such as negation, mood etc. Ukrainian particles are not inflected.
Note that response words such as так “yes”, ні “no”, etc. are considered particles in grammars of Ukrainian but they are tagged as interjections under the UD standard. Also note that ні can be used in two ways, one would be translated as English “no” and the other as “nor”. Only the former should become interjection, while the latter will stay a conjunction.
Examples
- Sentence modality: но, хай, нехай (“May you have an enjoyable stay!”)
- тільки “just, only”
- аж “only, as late as, even, up to”
PRON
: pronoun
Definition
Pronouns are words that substitute for nouns or noun phrases, whose meaning is recoverable from the linguistic or extralinguistic context.
Pronouns under this definition function like nouns. Note that Ukrainian grammar traditionally extends the term pronoun to words that
substitute for adjectives. Such words are not tagged PRON
under our universal scheme. They are tagged as determiners in order to annotate the same thing same way across languages.
For instance, tohle “this” is traditionally called pronoun in Czech grammar, regardless of context (the notion of determiners does not exist in Ukrainian grammar). To make the annotation parallel across languages, it is now tagged PRON
in Це я бачила вчора. “I saw this yesterday.” and DET
in Це дерево я бачила вчора. _ “I saw this tree yesterday.”
 “I saw this yesterday.”
- interrogative pronouns: хто, що “who, what” as in Що ти думаєш? “What do you think?”
- relative pronouns: хто, що “who, what” as in Мене цікавить, що ти думаєш. “I wonder what you think.”
- indefinite pronouns: дехто, дещо “somebody, something”
- total pronouns: кожен, всі “everybody, all”
- negative pronouns: ніхто, ніщо “nobody, nothing”
References
PROPN
: proper noun
Definition
A proper noun is a noun that is the name of a specific individual, place, or object. Ukrainian proper nouns are always written starting with an uppercase letter. Note that names of days of week, names of months, names of languages, and adjectives derived from geographical names are not written capitalized (unlike in English) and are not considered proper nouns.
Single-word named entities should be tagged PROPN
even if they originate from a common noun (Заєць, Бук) or an adjective (Довгополий, Масна). Even if they were originally adjectives and inflect according to adjectival paradigms, they behave syntactically as nouns. For instance, Масна (the feminine version of surname Масний ) is originally feminine form of the adjective масний “fatty” but as an anthroponimic name, it is a noun. It denotes a concrete person (rather than a property of somebody/something) and its gender is limited to feminine and masculine (while adjectives have forms in all three genders).
Personal names are typically treated as a sequence of proper nouns (one or more given names and one or more surnames). If the name contains prepositions, conjunctions or particles (foreign names), these are tagged as ADP
, CCONJ
and DET
, respectively.
Ukrainian (and other Slavic) multi-word named entities have internal syntactic structure, which is preserved in the annotation. The headword is always noun and there may be other nouns involved. They will be tagged either PROPN
or NOUN
and possible ambiguities must be resolved individually. Modifying adjectives are never tagged PROPN
. Even if an adjective is the first word of a multi-word name, and thus it starts with an uppercase letter, it is still tagged ADJ
. Similarly, function words in named entities retain their normal tags. These rules are less strict for foreign named entities where the original part of speech is hidden for a Ukrainian speaker.
Examples
- Франкфурт
PROPN
наADP
МайніPROPN
is a city. Франкфурт is the head and the на Майні part refers to the river flowing through the city, to distinguish it from other Frankfurts. - Організація
NOUN
об’єднанихADJ
наційNOUN
“United Nations Organization” consists of three words, none of which is proper noun. However, the acronym ООН “UN” is a single-token name and is taggedPROPN
.
PUNCT
: punctuation
Definition
Punctuation marks are non-alphabetical characters and character groups used to delimit linguistic units in printed text.
Punctuation is not taken to include logograms such as $, %, and §, which are instead tagged as SYM.
Examples
- Period: .
- Comma: ,
- Parentheses: ()
SCONJ
: subordinating conjunction
Definition
A subordinating conjunction is a conjunction that links constructions by making one of them a constituent of the other. The subordinating conjunction typically marks the incorporated constituent which has the status of a (subordinate) clause.
For coordinating conjunctions, see CCONJ.
Examples
- що “that”
- щоб, аби “so that”
- якщо “if”
- як “as”
- ніж “than”
References
- Loos, Eugene E., et al. 2003. Glossary of linguistic terms: What is a subordinating conjunction?
- Wikipedia
SYM
: symbol
Definition
A symbol is a word-like entity that differs from ordinary words by form, function, or both.
Many symbols are or contain special non-alphanumeric characters, similarly to punctuation. What makes them different from punctuation is that they can be substituted by normal words. This involves all currency symbols, e.g. $ 75 is identical to seventy-five dollars.
Mathematical operators form another group of symbols.
Another group of symbols is emoticons and emoji.
Strings that consists entirely of alphanumeric characters are not symbols but they may be proper nouns: 130XE, DC10; others may be tagged PROPN
(rather than SYM
) even if they contain special characters: DC-10.
Similarly, abbreviations for single words are not symbols but are assigned the part of speech of the full form. For example, п. (пан or пані), кг (кілограм), км (кілометр), проф. (професор) should be tagged nouns. Acronyms for proper names such as OSN and NATO should be tagged as proper nouns.
Characters used as bullets in itemized lists (•, ‣) are not symbols, they are punctuation.
Examples
- $, %, §, ©
- +, −, ×, ÷, =, <, >
- :), ♥‿♥, 😝
-<EMAIL_ADDRESS>http://universaldependencies.org/, 1-800-COMPANY
VERB
: verb
Definition
A verb is a member of the syntactic class of words that typically signal events and actions, can constitute a minimal predicate in a clause, and govern the number and types of other constituents which may occur in the clause.
Note that the VERB
tag covers main verbs (content verbs) and modal verbs but it does not cover auxiliary verbs, for which there is the AUX tag. (Ukrainian modal verbs are not considered auxiliary.) See the description of AUX
for more information on the borderline between VERB
and AUX
.
Ukrainian verbs can take the following morphological forms:
- Infinitive (this is the citation form)
- Finite verb (indicative and imperative forms; conditional is constructed periphrastically). Ukrainian future tense can be formed either analitically, with the help of the auxiliary verb бути “to be” or syntactically, with the help of endings rooted in the auxiliary verb мати “to have”.
- Active and passive adverbial participle
- Impersonal form ending with -но/-то. In Slavic languages other than Ukrainian and Polish this form coincides with the neutral passive adjectival participle, but in those two languages the participle has a different ending: -не in Ukrainian and -ne in Polish, which is why it is treated as a separate verbal form.
There are participial forms that are tagged as adjectives (ADJ) rather than verbs. See below for border cases.
A verbal noun can be derived productively from almost every verb (e.g. робити “to do” → робіння “doing”). While in other languages a corresponding form may be called gerund and tagged VERB
, in Ukrainian it is tagged NOUN. It has always the neuter uk-feat/Gender and it inflects for uk-feat/Number and uk-feat/Case.
Examples
- нести “to carry”
- несу, несеш, несе, несемо, несете, несуть “I carry, you carry, he/she/it carries, we carry, you carry, they carry”
- неси, несімо, несіть “carry” (imperative in different persons and numbers)
- ніс, несла, несло, несли “carried” (past tense forms in different genders and numbers)
- несено “(it was/somebody) carried” (passive impersonal form)
- несучи, нісши “carrying” (present and past adverbial participles)
Border cases
Passive and active adjectival participles are non-finite verb forms that share properties of verbs and adjectives. - Passive adjectival participle is used to construct passive voice: несений, несена, несене, несені “carried” (passive participle in different genders and numbers). It is also used separately as an adjective: ношений, драний “carried, torn/ragged”. Their meaning is almost identical but the usage slightly varies. Both groups can be used in nominal predication with copula. Only true participles (verbs) can be used to form the passive voice (but it may be sometimes difficult to distinguish from copula constructions, see AUX). On the other hand, the participial adjectives inflect for case and thus can modify nouns. - Active participle (it is considered ungrammatical but still used occasionally, which is why it is encoded): несучий, несуча, несуче, несучі “carrying” (present adjectival participle in different genders and numbers).
X
: other
Definition
The tag X
is used for words that for some reason cannot be assigned a real part-of-speech category.
A special usage of X
is for cases of code-switching where it is not possible (or meaningful) to analyze the intervening language
grammatically (and where the dependency relation foreign is typically used in the syntactic analysis).
Even if foreign words are tagged X
, this usage does not extend to ordinary loan words which should be assigned a normal
part-of-speech. For example, кілт “kilt” is an ordinary NOUN.
Examples
- А він тільки xfgh pdl jklw “And he just xfgh pdl jklw”


The Invisible Man
by H.G. Wells
Chapter 29
Additional Information
- Year Published: 1897
- Language: English
- Country of Origin: England
-
Source:
Wells, H.G. (1897).
. London, England; Pearsons Magazine.
-
Readability:
- Flesch–Kincaid Level: 7.5
- Word Count: 718
- Genre: Science Fiction
- Keywords: duality of man, good vs. evil, science, scientific experimentation
- ✎ Cite This
Downloads
So ends the story of the strange and evil experiments of the Invisible Man. And if you would learn more of him you must go to a little inn near Port Stowe and talk to the landlord. The sign of the inn is an empty board save for a hat and boots, and the name is the title of this story.  Drink generously, and he will tell you generously of all the things that happened to him after that time, and of how the lawyers tried to do him out of the treasure found upon him.
  And then a gentleman gave me a guinea a night to tell the story at the Empire Music'all -- just to tell 'em in my own words -- barring one."
And if you want to cut off the flow of his reminiscences abruptly, you can always do so by asking if there weren't three manuscript books in the story. He admits there were and proceeds to explain, with asseverations that everybody thinks he has 'em! But bless you! he hasn't. "The Invisible Man it was took 'em off to hide 'em when I cut and ran for Port Stowe. It's that Mr. Kemp put people on with the idea of my having 'em."
And then he subsides into a pensive state, watches you furtively, bustles nervously with glasses, and presently leaves the bar.
He is a bachelor man -- his tastes were ever bachelor, and there are no women folk in the house. Outwardly he buttons -- it is expected of him -- but in his more vital privacies, in the matter of braces for example, he still turns to string. He conducts his house without enterprise, but with eminent decorum. His movements are slow, and he is a great thinker. But he has a reputation for wisdom and for a respectable parsimony in the village, and his knowledge of the roads of the South of England would beat Cobbett.
And on Sunday mornings, every Sunday morning, all the year round, while he is closed to the outer world, and every night after ten, he goes into his bar parlour, bearing a glass of gin faintly tinged with water, and having placed this down, he locks the door and examines the blinds, and even looks under the table. And then, being satisfied of his solitude, he unlocks the cupboard and a box in the cupboard and a drawer in that box, and produces three volumes bound in brown leather, and places them solemnly in the middle of the table. The covers are weather-worn and tinged with an algal green for once they sojourned in a ditch and some of the pages have been washed blank by dirty water. The landlord sits down in an armchair, fills a long clay pipe slowly -- gloating over the books the while. Then he pulls one towards him and opens it, and begins to study it -- turning over the leaves backwards and forwards.
His brows are knit and his lips move painfully. "Hex, little two up in the air, cross and a fiddle-de-dee. Lord! what a one he was for intellect!"
 "Full of secrets," he says. "Wonderful secrets!"
"Once I get the haul of them -- Lord!"
"I wouldn't do what he did; I'd just -- well!" He pulls at his pipe.
So he lapses into a dream, the undying wonderful dream of his life. And though Kemp has fished unceasingly, and Adye has questioned closely, no human being save the landlord knows those books are there, with the subtle secret of invisibility and a dozen other strange secrets written therein. And none other will know of them until he dies.
The End


|
raspiOS
0
A baremetal OS for ARMv8/raspi3
|
#include <arch/common_aarch64/registers_defines.h>
类 | |
| class | RegGICD_CTLR |
变量 | |
| uint32_t | ARE_NS |
| uint32_t | ARE_S |
| uint32_t | DS |
| uint32_t | E1NWF |
| uint32_t | EnableGrp0 |
| uint32_t | EnableGrp1NS |
| uint32_t | EnableGrp1S |
| uint32_t | RES0_0 |
| uint32_t | RES0_1 |
| uint32_t | RWP |
| class RegGICD_CTLR __attribute__ | ( | (packed) | ) |
| AS_MACRO void __attribute__::dump | ( | ) | const |
|
static |
| SETUP_REG_GCC_REPR_READ | ( | ICC_BPR0_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_BPR1_EL1 | ) |
在文件 gicv3_registers.h 第 81 行定义.
| SETUP_REG_GCC_REPR_READ | ( | ICC_CTLR_EL3 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_CTLR_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_DIR_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_EOIR0_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_EOIR1_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_HPPIR0_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_HPPIR1_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_IAR0_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_IAR1_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_IGRPEN0_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_IGRPEN1_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_IGRPEN1_EL3 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_PMR_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_RPR_EL1 | ) |
| SETUP_REG_GCC_REPR_READ | ( | ICC_SRE_EL1 | ) |
| SETUP_REG_GCC_REPR_UPDATE_READ | ( | ICC_SGI0R_EL1 | ) |
| SETUP_REG_GCC_REPR_UPDATE_READ | ( | ICC_SGI1R_EL1 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_CTLR | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_CTLR | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_WAKER | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IGROUPR0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ISENABLER0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_IIDR | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ICENABLER0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ISPENDR0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ISACTIVER0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ICFGR0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ICFGR1 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_ICACTIVER0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR1 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR2 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR3 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR4 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR5 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR6 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICR_IPRIORITYR7 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER1 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER2 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER3 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER4 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER5 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER6 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER7 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER8 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER9 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER10 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER11 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER12 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER13 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER14 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER15 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER16 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER17 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER18 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER19 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER20 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER21 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER22 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER23 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER24 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER25 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER26 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER27 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER28 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER29 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER30 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISENABLER31 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR1 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR2 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR3 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR4 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR5 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR6 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR7 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR8 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR9 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR10 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR11 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR12 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR13 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR14 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR15 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR16 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR17 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR18 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR19 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR20 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR21 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR22 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR23 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR24 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR25 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR26 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR27 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR28 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR29 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR30 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISPENDR31 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER0 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER1 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER2 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER3 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER4 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER5 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER6 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER7 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER8 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER9 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER10 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER11 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER12 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER13 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER14 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER15 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER16 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER17 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER18 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER19 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER20 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER21 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER22 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER23 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER24 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER25 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER26 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER27 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER28 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER29 | ) |
| SETUP_REG_MEM_MAPPED_READ | ( | GICD_ISACTIVER30 | ) |
| AS_MACRO RegGICD_CTLR __attribute__::updateRead | ( | ) |
| AS_MACRO void __attribute__::write | ( | ) | const |
| uint32_t ARE_NS |
在文件 gicv3_registers.h 第 106 行定义.
| uint32_t ARE_S |
在文件 gicv3_registers.h 第 105 行定义.
| uint32_t DS |
在文件 gicv3_registers.h 第 107 行定义.
| uint32_t E1NWF |
在文件 gicv3_registers.h 第 108 行定义.
| uint32_t EnableGrp0 |
在文件 gicv3_registers.h 第 101 行定义.
| uint32_t EnableGrp1NS |
在文件 gicv3_registers.h 第 102 行定义.
| uint32_t EnableGrp1S |
在文件 gicv3_registers.h 第 103 行定义.
| uint32_t RES0_0 |
在文件 gicv3_registers.h 第 104 行定义.
| uint32_t RES0_1 |
在文件 gicv3_registers.h 第 109 行定义.
| uint32_t RWP |
在文件 gicv3_registers.h 第 110 行定义.


When you hit the Create New List item in the dashboard screen, you will see a new screen with a section for each room and for the client's information
Hit the name of a room to open the default cleaning list for that room
To select which tasks should be done, touch each item you want to include or touch "select all" to include all the items...
A selected item will become highlighted.
To add a new item not listed, go to the text box at the bottom of the list and type a description of the new task.
Then hit the Save button.
Continue on through each room that your client wants you to clean and select the relevant tasks.
If there is more than one of a particular type of room, e.g. 2 bathrooms, tap on the plus sign to increase the number of rooms. There is still only one cleaning list for each room of the same type
To add notes, touch "Notes" and type in your notes in the text box then hit the Save button.
To enter your price, tap "Cost" and enter your price in the text box the hit the Save button.
When all cleaning tasks have been selected, you can send the list to your client by tapping the "Send" button.
If you have not already filled in the client's contact information, you will be brought to the section where you can fill in that information so that the new list can be sent to the client in a text message.
Fill in your client's name, phone number and address and hit the Save button.
Then return to the bottom of the screen and tap the "Send" button.
The button should change to "Sent!"
You can return to the dashboard where you can see your new list.
Once you have sent the list, your client should receive a text message like the following example with the agreed cleaning list
When your client clicks on the link, they should see the new list along with your name, phone number, note, and requested price if you provided any.


Derek Eder
@derekeder
@elle_mccann @reedmonseur @corynissen @foodbornechi I'd love to see continuation of @datascifellows work to measure https://github.com/dssg/411-on-311
11/3/2014, 5:01:46 PM
Favs: 0
Retweets: 0
link← @derekeder Twitter archive
Derek Eder
@derekeder
@elle_mccann @reedmonseur @corynissen @foodbornechi I'd love to see continuation of @datascifellows work to measure https://github.com/dssg/411-on-311
11/3/2014, 5:01:46 PM
Favs: 0
Retweets: 0
linkDerek Eder
@derekeder
@elle_mccann @reedmonseur @corynissen ppl don't use reporting systems equally. until we account for that, dist. of services will be unfair
11/3/2014, 5:14:26 PM
Favs: 1
Retweets: 0
link


Three little wall crossing ROBOTs 🤖
Press number digit 0-3 to switch control. Currently control is linked to Scene (0).
Press A W S D to translate, while using mouse to control view direction.
Scene (0) | Robot 1-3 (1-3)
Ambient Light:
Directional Light:


TO THIS ADDRESS
You may send to multiple addresses using a comma as a delimiter, but no white space between
No word wrap, but don't worry since you'll confirm on the next page
NUMBER OF ADDIES TO SEND
Like above, if you send to multiple addresses, use a comma with no whitespace as a delimiter
1 jeffCoin is 1000 Addies
For example, to send 23 jeffCoins enter 23000


#{infoFlightBean.flight.airportFrom.name} [#{infoFlightBean.flight.airportFrom.code}]
#{infoFlightBean.flight.airportTo.name} [#{infoFlightBean.flight.airportTo.code}]
#{infoFlightBean.flight.airplane.model} #{infoFlightBean.flight.airplane.year} #{infoFlightBean.flight.airplane.maker}


Hi, {{ recipient }}!
{{ sender }} invites you to join {{ site_name }}.
if you want to join please click on the link
if you want to get acquainted with our application please click on the link
This email has been sent to {{ recipient_mail }}.
If you think it was sent in error, please ignore it
{% endblock %}


--- layout: post esbma_id: 3054 title: Architecture date: 2014-02-17 12:00:00 keywords: mssql_to_sqlite teaser: A big distinction between SQL Server and SQLite is visible in the fact that only one of them has the word 'server' in its name. ---
(This entry is part of a series. The audience: SQL Server developers. The topic: SQLite on mobile devices.)
A big distinction between SQL Server and SQLite is visible in the fact that only one of them has the word 'server' in its name.
Much like SQL Server Compact (SQL CE), SQLite is designed to run in the same process as your app. It's an embedded database, not a server.
Another way that SQLite is similar to SQL CE is that both of them store a database in a single file. But unlike SQL CE, the size of a SQLite database file is not limited to 4GB. SQLite databases of 50GB are fairly common (on desktops or servers, not mobile devices), and I've heard of people using databases much larger than that.
Even though there is no network between your app and your database file, SQLite still uses the terminology of a "connection" to describe the context in which your app interacts with a database. To begin using a database file, you "open" a connection. But you don't need an ODBC connection string or an ADO.NET connection string. Rather, what you need is a filename.
SQLite also supports the ability to have one connection be attached to more than one database, using the ATTACH command. This can be really handy when you want to break your data up into multiple files, while retaining the ability to do SELECTs with JOINs across those files.
SQLite does support concurrent access to the database file. Multiple processes can access the same database file, or multiple threads within the same process. Like any other database, SQLite uses locking to keep everything straight. It supports a locking model where readers do not block writers and writers do not block readers.
This level of concurrency support is very important when developing a mobile app, where environments like iOS have strict rules about keeping the app responsive to the user by performing all blocking or intensive operations in a background thread.
As a consequence of its no-server/embedded architecture, SQLite has no support for authentication or user logins. If an app has access to the database file, then it has access to everything inside it.
SQLite is an embedded SQL implementation which stores a database in a single file. It is a lot like what SQL Server Compact might be if it were cross-platform and open source.


Click anywhere on the screen then hover over the sky to hear the birds and the ocean to hear the waves.
Sorry, you do not support audio formats, please come back later.


Difficulty
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{{game.message}}
* to reveal the bombs in the map, use the Konami code (up, up, down, down, left, right, left, right, b, a)


Pig Dice: Time to get rolling
Player One Name
Player Two Name
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Total score:
ROLL!
HOLD!
Player:
Score:
Round score:
Total score:
ROLL!
HOLD!
New Game


--- layout: post title: Why high prices are good for apple date: 2006-05-25 12:59:59.000000000 +02:00 type: post published: true status: publish categories: - apple & OSX - 'understanding: IT' - whatever tags: [] meta: _publicize_job_id: '14401145923' original_post_id: '18' _wp_old_slug: '18' author: login: joesixpack email<EMAIL_ADDRESS>display_name: dirk lüsebrink first_name: '' last_name: '' ---
One of the main reasons for the absence of viruses on the mac is the smaller market share of apple computers in the market. That is kind of common sense and used often in pro-Microsoft argumentations. Everbody seems to assume the amount of viruses for the mac will increase in the same way as they as they are gathering more and more market share. The same seems to be true for Firefox.
On the the assumption the main source of "evil-doers" is the the "axis of evil" you will find that the homelands of many of the virus coders are actually in economically weak areas. Creativity thrieves best under constraints, all kind of ever more secure bariers are circumvented with sometimes hard to grasp virtuosity. While they in general just don't deserve my respect for their doings, these virus coders definitly have my respect for their passion and technical excellence in fighting their way through the minefields of modern day security.
Anyhow, in economicly weak areas, the probalilty for joe coder to buy a taiwan PC clone are way higher than to fork over big amounts for a shiny new MacBook. And this will save Apple, for simply not having legions of underage virus coding experts to-be waiting to raid MacOSX land. This is to fact that they can't even afford to build the knowledge base in the first place.
Besides, good luck to Microsoft when trying to revoke Adminstrator rights from their employees with their in-house Vista release. Separating User and Adminstrator rights CLEANLY was a problem Unix solved approx. 30 years ago, at least long before i started with it, and that was in 1986.


Turkey catches key man behind ISIL's major hits – media
The terrorist is behind the attacks in Russia in 2018 and in Germany's Hamburg.
Turkey has arrested and is now interrogating a high-ranking jihadist terrorist from ISIL in a recent operation in northeastern Syria, the interior minister has announced, identifying the person as Ebu Cihad al-Din al-Nasır Ubeyde, or Yusuf Huba, behind the attacks in Russia and Germany in the past.
"We have captured a very senior Daesh (Arabic acronym of the ISIL) member who is known as a bomber, bomb-maker and mastermind of suicide bomber attacks. The terrorist is behind the attacks in Russia in 2018 and in Germany's Hamburg. He was caught in Syria and under interrogation there," Interior Minister Süleyman Soylu told Hürriyet Daily News during a visit to Demirören Media Center on Nov. 21.
Codenamed Yusuf Huba, the terrorist is responsible for around 20 terrorist attacks that claimed the lives of many innocent people, the minister said, adding that Huba also was recruiting and training would-be suicide bombers.
Alone this arrest shows Turkey's continued commitment to fighting against ISIL as the Turkish army had neutralized more than 3,000 jihadist terrorists through cross-border operations in the Syrian territories, the minister recalled.


PRIDE Converter 2 attempts to assign the correct PTM annotation based on a curated list of the most commonly observed PTMs and the mass delta as reported by the search engine. Please refer to Table 2 below for the full list of automatically assigned PTMs. If a unique PTM can be assigned to a mass delta within a 0.1 Da mass tolerance, the annotation is automatically shown to the user.
In cases where multiple PTMs can be assigned to a mass delta with a precision of 0.1 Da, PRIDE Converter 2 will try to locate a unique PTM assignment to within 0.01 Da. If a unique match is found at the higher precision threshold, it will be assigned but the GUI will report the fact that multiple PTMs have been observed. In the case that multiple PTMs are still found at the higher precision threshold, no mapping is done. The GUI will report the fact that multiple PTMs have been observed within the mass tolerance window by highlighting the conflict in yellow. PTMs that have not been automatically assigned will be highlighted in red.
By double-clicking on a row highlighted in red, the user will be presented with a window showing the preferred PTMs (those that map to a mass delta with a precision of 0.1 Da), if any. The user has the choice to either select a preferred PTM, if applicable, or to search the PSI-MOD ontology via the OLS.


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Our paper titled, “Bagged Support Vector Machines for Emotion Recognition from Speech” is got accepted to the Knowledge-Based Systems (KBS) journal with impact factor 4.529. Congrats authors, Anjali Bhavan; Pankaj Chauhan, Hitkul and Rajiv Ratn Shah.


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