Uber's problems in London could be just the start — and investors might not stick around
by finanzen.net GmbH- London just banned Uber from operating in the UK capital.
- The move could pose serious problems for Uber.
- Uber says it will appeal the decision, calling it "just wrong."
- It could be just the start. Uber faces other legal battles in key cities
- Visit Business Insider for more stories about Uber.
-
London has stripped Uber of its license to operate in the UK capital, the city's transport authority confirmed today, in a move that not only caps a bitter end to a two-year struggle for legitimacy, but also opens up fresh fears about the sustainability of the business model.
While the company has said it will appeal the move, it does not look in a good position to overturn the ruling. Following a series of scandals in 2017, Uber has tried to clean up its act – but not enough to placate TfL and the very powerful taxi lobby of black-cab drivers who have lost market share to the upstart.
The strength of this lobby may have a lot to do with the decision, but the failings in London could just easily be seen elsewhere.
Shares printed -5.9% in pre-market trading at $27.82, although the stock opened down about 4% at $28.46, barely a couple of dollars above its all-time low. Following the initial selloff the shares rallied to within 0.7% of Friday's closing price.
Largest market in Europe
Uber has clearly suffered a big blow with this ruling. There is an immediate top-line hit: London, with about 3.5 million users, is the largest market in Europe for the ride-hailing app.
London is also one of the group's "fab five" cities – along with New York, San Francisco, Los Angeles and Sau Paulo — that account for around a quarter of global revenues. In that sense, there is likely to be a clear and obvious hit to earnings growth, if the ruling is upheld, which looks likely.
As Uber says itself: "Any inability to operate in London, as well as the publicity concerning any such termination or non-renewal, would adversely affect our business, revenue, and operating results."
In London, competition in the shape of Bolt and Ola are ready and willing to step in at the drop of a hat; Uber could be forgotten pretty quickly once gone. Local competition is a problem wherever Uber extends its reach.
More broadly, the decision today betrays the scope and depth of the legal and regulatory problems faced by Uber. The list of legal issues either historic or ongoing is long and broad both in scope and geography.
Cities and local lawmakers have leverage
These present ongoing overhang for the stock. Whilst there have been problems with corporate culture and the vetting of drivers, by-and-large the run-ins with the regulators and policymakers pertain to the very structure of the business itself. Taxation, labour laws, and consumer safety are the three legs on the milking stool of regulatory instability.
Cities and local lawmakers have considerable leverage should they wish to use it. Uber will continue to face elevated competition from local rivals and a high degree of regulatory scrutiny that threatens to undermine how it does business.
From Chicago to Los Angeles, New York to San Francisco, there have been all kinds of legal roadblocks. City authorities have been alarmed at the rise of Uber and have pursued a range of legal and regulatory avenues to stymie the company. An outright ban though has not been considered in other major cities, but how long before some follow?
Already in a number of key markets, including Argentina, Germany, Italy, Japan, South Korea, and Spain, the company's ridesharing business model has been blocked, capped, or suspended, or Uber has been required to change its business model.
Whilst Uber investors have been able to accept some degree of regulatory overhang, London's example could point the way to cities taking an even tougher stance.
Quite simply, if Uber is barred from a couple more big cities there is a risk it won't be able to maintain the kind of critical mass required to attract the capital needed to sustain a loss-making enterprise of this scale. Uber remains good at attracting investors, but a couple more cases like this and it may not be.
Uber's cash pile is a small mercy
Uber has about $12.7 billion in cash on hand, and could sustain its burn-rate for perhaps two or three years. That's a small mercy, if long-term sentiment crumbles.
At least the London decision does do one thing in Uber's favour – it will help it reduce the cash burn, a strategy that management has tentatively started to favour as it contends with greater investor scrutiny after going public. Uber has burned through $7 billion in cash this year alone as it pursues a growth-at-all-costs model.
London is a timely reminder that you can't count on growth to cover up the cracks of a business model that is fundamentally flawed.
Neil Wilson is chief market analyst at Markets.com in London.


Human-level concept learning through probabilistic program induction -- visual Turing tests
By Brenden Lake, Ruslan Salakhutdinov, and Joshua Tenenbaum
Email: brenden at-sign nyu dot edu
Visual Turing Tests for Alternative and Lesioned Models
This is a complete set of visual Turing tests organized by the task. The main tests can be accessed at this link.
Generating new exemplars
Full model
Lesioned learning-to-learn (token level)
Lesioned learning-to-learn (type level)
Lesioned compositionality
Five background alphabets (Set 1)
Five background alphabets (Set 2)
Generating new exemplars (dynamic)
Full model
Full model (random stroke order and directions)
Full model (reversed stroke order and directions)
Lesioned learning-to-learn (type-level; optimal stroke order and directions)
Lesioned learning-to-learn (type-level; random stroke order and directions)
Generating new concepts (from type)
Full model
Lesioned learning-to-learn (type level)
Novelty control
Style control
Generating new concepts (unconstrained)
Full model (non-parametric extension)
Full model (no extension)
Lesioned learning-to-learn (type-level)
Lesioned compositionality
Also, you can try our "visual Turing tests" with feedback after every trial. This version was not run or reported for the paper.
Feedback versions
Generating new exemplars
Full model
Lesioned learning-to-learn (token level)
Lesioned learning-to-learn (type level)
Lesioned compositionality
Five background alphabets (Set 1)
Five background alphabets (Set 2)
Generating new exemplars (dynamic)
Full model
Full model (random stroke order and directions)
Full model (reversed stroke order and directions)
Lesioned learning-to-learn (type-level; optimal stroke order and directions)
Lesioned learning-to-learn (type-level; random stroke order and directions)
Generating new concepts (from type)
Full model
Lesioned learning-to-learn (type level)
Novelty control
Style control
Generating new concepts (unconstrained)
Full model (non-parametric extension)
Full model (no extension)
Lesioned learning-to-learn (type-level)
Lesioned compositionality


{{ _("This durable and lightweight VW Amarok hardtop uses the exact design elements from the car. The hardtop is made to be flush with the car, giving it a continous appearance and two-box form of a station wagon. Roofshape of the hardtop is styled the same way as car's. It is also the same width as the car itself. Bottom of the hardtop follows the A-line from headlight to taillight, tracing the car's silhouette. ") }}
{{ _("The shape of the side panels adds nicely to the look of the whole car. An integrated spoiler can optionally be equipped with a high level brake light. The hardtop is ready for roof bars by Thule. Navette hardtops are constructed using multi-layered laminated glass fiber mats. The UV-resistant surface is made of durable, very robust Gelcoat. The paint is color coded to the VW Amarok paint codes.") }}
{{ _("Features") }}
- {{ _("Inside sprayed with durable PVC") }}
- {{ _("Integrated spoiler") }}
- {{ _("Rear hatch with gas struts") }}
- {{ _("Complete fitting instructions") }}
- {{ _("Ready for Thule roof bars") }}
- {{ _("Color according to customers needs") }}
{{ _("Standard Features") }}
- {{ _("Tinted side windows") }}
- {{ _("LED interior lighting") }}
- {{ _("Rear breaklight") }}
- {{ _("Central locking on rear hatch.") }} ({{ _("Only for cars with central locking on fuel hatch.") }})
- {{ _("Roof bars from Thule") }}
{{ _("Extra features") }}
{{ _("Specification") }}
| {{ _("Width") }} | {{ _("1760 mm") }} |
| {{ _("Length") }} | {{ _("1590 mm") }} |
| {{ _("Height") }} | {{ _("640 mm") }} |
| {{ _("Loading height") }} | {{ _("1040 mm") }} |
| {{ _("Loading width") }} | {{ _("1350 mm") }} |
| {{ _("Weight") }} | {{ _("60 kg") }} |
| {{ _("Maximum roof load") }} | {{ _("50 kg") }} |
| {{ _("Width of the side hatch") }} | {{ _("1200 - 1000 mm") }} |
| {{ _("Height of the side hatch") }} | {{ _("760 - 720 mm") }} |
| {{ _("Max box size through aft hatch") }} | {{ _("1300 x 1050 x 920 mm") }} |
| {{ _("Max box size inside compartment") }} | {{ _("1300 x 1200 x 1040 mm") }} |


{% extends "layout_bsa.html" %} {% block page_title %} Download award applications that have been submitted - Present Submitted Awards Applications - NHSBSA {% endblock %} {% block content %} {% include "includes/phase_banner_beta.html" %} Present Submitted Awards Applications Download award applications that have been submitted Click download to see application. NINO Date submitted Date downloaded Downloaded by QQ123456C 01/11/2017 14:30 - - Download QQ123456C 01/11/2017 14:32 03/11/2017 14:30 Sarah Download QQ123456C 01/11/2017 14:35 03/11/2017 14:30 Sarah Download {% endblock %}
Present Submitted Awards Applications
Click download to see application.


We'll need to import libraries to help with data processing and visualization. Import numpy
, matplotlib
and pandas
libraries by the following:
import numpy as np from matplotlib import pyplot as plt from pandas.plotting import register_matplotlib_converters register_matplotlib_converters()


{% extends "base.html" %} {% block title %}
KEM'S MEALS AND SPICES is a registered company with registration number - CAC 2672916
We all at KEM'S MEALS AND SPICES are passionate about what we do. We love our customers; and more especially, we love healthy, spicy, natural and delicious meals. We specialize in mixing traditional, quality organic spices to help you prepare healthy, delicious and tasty meals.
At Kem's Meals and Spices, we beliveve that innovation is key. We have carefully formulated a blend of organic spices, each one being individually tailored to complement the underlying fresh ingredients.
Our Spice Mixes are created with great care and attention, hygienically produced using only the very best organic spices. We combine the exact quantities and selections of spices for each mix by hand, package everything ourselves and with very simple easy to follow instructions pass on the knowldge to you.
We pride ourselves on delivering great products. Each one of our mixes is enough to make a generous dish for atleast 5 people. They are totally Glutten free, mixture free, MSG free, preservatives free and vegetarian
To provide our customers with outstanding quality and exquisite handmade natural blend organic spices
To be the best organic spice company locally and globally


Change Profile Photo
Deactivating your account will remove iit from IAMVOCAL within a few minutes. You can sign back in anytime to reactivate your account and restore its content.
Permanently delete your account and all of your content.


I am Petric, a passionate games developer and gamer. My interest in game development and computing started at a very young age and I pursued this interest to where I am now. Starting at the age of 14 I played around with Java, learning it and developing small mods/plugins for Minecraft where my interest in coding and game development started to grow day by day. With some of my early stages in coding, I tried a lot of stuff around networking, such as a java server communicating with a PHP site, I have a strong interest in the networking part of a game and want to continue to develop this area and further increase my knowledge and skills. I do also have a large interest in Virtual Reality, as it opens up new possibilities to create immersive games and had hands-on on some small scale projects to try this technology out at my university. As for games, entangled with my networking interest, I have an interest in MMO games with sci-fi and/or fantasy theme such as World of Warcraft, Star Citizen, Final Fantasy XIV, EVE Online.
I am fluent in 3 languages: German, Spanish and English; I was born in Germany, but at a young age (around 8 years old), I moved to Spain where I spend 7 years of my life finishing my primary school and secondary school studies, now I live in the UK, where I currently study BSc(Hons) Computer Games Programming course at Teesside Unversity.
Currently in the last year of my studies at Teesside University, I am looking for a challenging graduate position where I can apply what I learned so far, and continue to develop my skills in this sector.
I worked as the lead programmer in a VR project tasked to re-build an archaeological site of how it may have looked some time ago.
This is a small VR experience where the user will be able to use a gesture recognition system using neural networks to cast spells and attack enemies.
View ProjectA simple, 2vs2 multiplayer shooter game, with the server implemented in elixir and the client in C++11. Featuring encryption and server search in a Local area network (LAN) using UDP Broadcast.
View ProjectA multiplayer login and lobby system for any game. Using at least 3 servers, where one will act as a database, one as the login manager and another one (but not limited to 1) as the game server. Users will have the ability to register/login and then select the server they want to joint (out of all the game servers). The servers are developed using C# and the client in c++.
View ProjectTasked by the University, we needed to create a 2D Game engine from scratch and generate a demo using this engine. We were given only an in-house library, made by the module leader that abstracted some of the functionality away from us.
View ProjectA personal project is written in Lua as an addon for the game: World of Warcraft. This addon will present the user with a new UI to store talents information and allow them to quickly change between these talents sets. It can also be configured to prompt when entering instances to change talents if the user is in the incorrect mode.
View ProjectA simple project written in C++ in which I generate a terrain using height maps, displacement maps, noise and 2 bezier curves. Then applying view frustum culling and AABB to only render what is really needed.
View ProjectA personal project is written in Lua as an addon for the game: World of Warcraft. This addon will present the user with a new UI to show locally stored information about each of the characters they got.
View ProjectA simple project written in C++ in which I use OpenGl and GLSL to draw sponza using instantiated rendering.
View Project


The Monk Diamond is a cheap jewel.
The Monk Diamond is over 3 hours old.
It is a common green cheap plastic diamond.
The Monk Diamond is 30 carats and worth over $10 Dollars.
Professor Wackadoodle is a unknown explorer.

Professor Wackadoodle and Dr. Thunder have made a unsatisfactory discovery.
Professor Wackadoodle is the world's worst explorer.
Dr.
They have discovered the Monk Diamond in a pocket in Siberia.
Professor Wackadoodle and Dr. Thunder were not on a fossil-finding expedition.
Ernest, Professor Wackadoodle's dog, found the pocket because it had some leftover nachos inside.
Professor Wackadoodle has sent us this even cheaper replica of the Monk Diamond.
This is Professor Wackadoodle and Dr. Thunder's first expidition together as untrained interns.
Here is a photo of the unpaid few.
The Monk Diamond had been hidden in a pocket.
It was inside a tear in the seam of the pocket.
THE STOLEN MONK DIAMOND IS STILL HIDDEN
Professor Wackadoodle, Dr.Thunder, and Ernest were on an expidition.
They made an unappealing discovery in the mountains.
To spare your eyes and time they never find a buyer for the diamond and go broke within a day. The nachos are their only food so they go back to their parents places and live the rest of their lives in their parents basements in shame and fear of the outside world.
The End


RESTORATION A film review by James Berardinelli Copyright 1996 James Berardinelli
RATING (0 TO 10): 7.5 Alternative Scale: *** out of ****
UK/US, 1995 Running Length: 1:57 MPAA Classification: R (Sex, nudity, plague) Theatrical Aspect Ratio: 1.85:1 Theater: AMC HQ 10 2/2/96, 5 pm
Cast: Robert Downey Jr., Sam Neill, David Thewlis, Polly Walker, Meg Ryan, Ian McKellan, Hugh McDiarmid, Hugh Grant Director: Michael Hoffman Producers: Cary Brokaw, Andy Paterson, and Sarah Ryan Black Screenplay: Rupert Walters based on the novel by Rose Tremain Cinematography: Oliver Stapleton Music: James Newton Howard U.S. Distributor: Miramax Films
The setting for RESTORATION -- England in the 1660s -- represents one of the most interesting eras in European history. Following the death of Oliver Cromwell, Charles II returned from exile to reclaim the throne for the Stuart family. His coronation heralded the Restoration - - a time of great enlightenment and debauchery. Then, in 1665, the Great Plague struck, and in 1666, London burned. The film RESTORATION attempts to incorporate all of these events into its two-hour story. Those hoping for historical accuracy will be sorely disappointed, however. The 1660s serve as little more than a backdrop for the action. The costumes and sets are authentic-looking, but little else has more than a flavor of the period. Even the dialogue is frequently anachronistic.
Historical authenticity aside, RESTORATION is still a worthy source of entertainment. The narrative has numerous dramatic hiccups -- most caused by trying to cram too much into too little time -- but, overall, it tells an engrossing tale. The film, which opens in 1663 London, follows the rise and fall of Robert Merivel (Robert Downey Jr.), a reluctant physician. Despite his undeniable medical gifts, he would rather spend time drinking and whoring. When King Charles II (Sam Neill) needs someone unconventional to heal his ailing dog, he sends for Merivel.
One of the most unusual services demanded of Merivel by the King is that he marry the royal Mistress, Celia Clemence (Polly Walker). The doctor is told in no uncertain terms that the marriage is never to be consummated -- it is in name only ("I need a man far too enamored of women in general to love one in particular," Charles tells Merivel). Unfortunately for his status at court, Merivel falls for Celia, and when the King learns of this, he dispatches Merivel from his service. The now-penniless physician ends up in a Quaker community with an old friend (David Thewlis). It is there that he discovers the true nature of his talents.
RESTORATION is developed as a series of episodes which combine to form a story arc taking Merivel's character from debauchery to poverty to redemption. The "restoration" of the title is as much the central character's as it is England's. Flaws aside, the film is a sumptuous, affecting tale about the most roguish of men making good. And, despite assorted tragedies along the way, the tone and intent are decidedly upbeat.
One of the problems with RESTORATION is that it moves too many characters through Merivel's life. Other than David Thewlis' effectively-rendered John Pearce and Ian McKellan's Will Gates, none of them displays much personality -- they're gone too quickly. Each adds something to Merivel's character, but as individuals in their own right, they fade into the background, no more memorable than the wild colors with which the doctor decorates his Suffolk estate.
Robert Downey does a fine job as Merivel, and his English accent rarely slips. During the '90s, Downey has emerged as an admirable leading actor. His performance as Chaplin in Richard Attenborough's 1992 biopic put him in the spotlight; everything he has done since has furthered his reputation. Of late, Downey seems to have developed an affinity for period pieces. Other than RESTORATION and the aforementioned CHAPLIN, he can also be seen in the new version of RICHARD III.
The rest of the cast is impressive. In addition to McKellan and Thewlis, Sam Neill, Polly Walker, and Hugh McDiarmid turn in effective supporting performances. Hugh Grant has a small role as a fatuous, self-important painter. Meg Ryan, moonlighting from frothy romantic comedies like IQ and FRENCH KISS, is barely adequate as Katherine, the madwoman who captures Merivel's heart.
As a well-developed, fast-paced movie that tells a "feel good" story, RESTORATION is a welcome entry. As a history lesson, it's a failure. The British are famous for their period pieces, and, while RESTORATION isn't among the best (all of Jane Austen's adapted novels are superior), it's still solid entertainment, especially in a season when Hollywood's releases are repeatedly causing grimaces.
- James Berardinelli e-mail<EMAIL_ADDRESS><EMAIL_ADDRESS>web: http://www2.cybernex.net/~berardin
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Undergraduate Computer Science student at Birla Institute of Technology and Science(BITS Pilani), Goa Campus. I am intersted in Machine learning, Deep learning, Android Development and Competitive coding.
RESUMEBuilding and contributing to deep learning projects. I primarily use pytorch and keras for my deep learning projects and numpy, pandas and scikit-learn for machine learning projects.
I mostly use websites such as Codechef,HackerRank and Codeforces for competitive coding.
Building and contributing to android apllications using android studio.
On-going project to recognize dynamic hand gesture movements using both spacial and temporal data.
Check it outObject detection for Flipkart Grid Challenge in which I secured an All India rank of 29.
Check it outAn AI assistant for differently-abled people to recognize static hand gestures and converting them into sign language. Can also convert Text/Voice into a live motion sequence of gestures and read out newspapers/articles.
Check it outA specialized linear algebra library for OpenGL made in C with a python wrapper.
Check it outA modern implementation of classic arcade game Space Invaders made using Pygame.
Check it outWorked as a Deep Learning / Computer Vision intern.
My task was to process the video datasets and create deep learning models to perform various tasks such as detect players, classify actions, infer other statistics such as dominance etc.
Worked as a software development intern.
My project was to create an customized recommendation engine using machine learning techniques for the company's use case
Worked as an Android developer / intern.
My project here was to create a restaurant automation application that performs various tasks to enrich user experience and revolutionarise the dine-in process.
Created an AI assistant as a part of the hackathon for differently-abled people and was the second runner-up in the competition.
I started off with gesture classification on ASL dataset as gesture recogntion was the base of the project.
On testing model with live images, i found out that accuracy was not very great on real-life images even after using optimization techniques.
I realised that real-life images have a lot of noise in the background and thus accuracy is low.
After some research, i came up with a solution to use background subtraction to eliminate the noise in the background and my accuracy in real life images significantly improved to accuractely classify 28/29 gestures with over a 98% accuracy which is better than most models available.
I then processed and added more functionalities like smart word and sentence recommendations and converting text/audio to a live motion sequence of gestures for differently abled people to understand in their sign language and also added functionality to read out text from articles and newspapers from their images.
In the end, I was able to secure 3rd position in the competition.
Project linkThe problem statement was to create a model to detect objects in images.
I started this project by doing a detailed study of the concepts of object detection and computer vision which helped me prepare a plan of action.
Since the competition was a 2 month long competion involving three stages, my primary focus was to create a base model for the second round and then optimize it.
I cleared round two and proceeded to round three in which i started using advanced optimization techniques to improve my model performance and finally acheived a nationwide rank of 29.
Project linkGLMC is a specialized linear algebra library prepared with C along with a python wrapper.
I started this project by doing a detailed study of the concepts of linear algebra that i had previously learnt and leaning some new ones which helped me set up a strong foundation to code optimally.
The next step was to decide a timeline and create a rough model for referrance.
And finally came the coding part. The coding part of the project was made relatively simple due to the strong base set up before it by the rough model and revision of concepts of linear algebra. After a few weeks of coding, the C library was completed and it could perform functions for 2x2,3x3,4x4 matrices and 2D,3D,4D vectors. It could also perform functions between matrices and vectors. The matrices were column major and vectors were column vectors. Note that the exmphasis was on speed and most of the functions were hence hard coded.
Project link


--- layout: page ---
Working Title is like a Github for songs, stories, and poetry...QAware is a cross-platform application that is changing the way quality assurance and quality control is conducted across many industries. By integrating iBeacon technology..
A writing collaboration engine where users can contribute to branches of a project as well as view a tree visualization of a project's evolution.
A simple RoR app that solves the problems of not knowing where you recorded your auto maintenance records/logs. You can sign in, view/add vehicles to your garage, add fluid changes, and change parts on your vehicles.
This was a very time consuming project that I liked working on. I was able to practice more Rails, HTML, CSS(hover effects), pushing to Heroku with a PG DB, using Unicorn instead of Webrick and even a little AJAX. This app was built for my little cousins who are younger than 3.


Checks variable names for various errors.
Five arguments may be optionally provided:
"check-format"
: allows only camelCased or UPPER_CASED variable names
"allow-leading-underscore"
allows underscores at the beginning (only has an effect if “check-format” specified)"allow-trailing-underscore"
allows underscores at the end. (only has an effect if “check-format” specified)"allow-pascal-case
allows PascalCase in addtion to camelCase."ban-keywords"
: disallows the use of certain TypeScript keywords (any
, Number
, number
, String
,
string
, Boolean
, boolean
, undefined
) as variable or parameter names."variable-name": [true, "ban-keywords", "check-format", "allow-leading-underscore"]
{
"type": "list",
"listType": {
"type": "enum",
"enumValues": [
"check-format",
"allow-leading-underscore",
"allow-trailing-underscore",
"allow-pascal-case",
"ban-keywords"
]
}
}


Diagrammatica
AngularJS Chart Directives
There is also a demo for
standalone charts
.
Heat Map Directive
Line Chart Directive


| DOSE: |
repeated |
smoked |
Cannabis |
(plant material) |
| |
22 mg |
oral |
2C-I |
|
My friend told me that hallucinogens simply magnify whatever is going on in your mind at a certain point in your life. 2C-I put my entire life under a high powered microscope. Things have not been the same since I took a 22 mg pill of the stuff.
The night started out fine, we smoked an unholy amount of bud, about 6 or 7 bowls out of our giant piece. During this, me and my friend decided to drop the 2C-I that we had just bought, figuring there was no time like the present to expand our minds. That's when everything got weird. As I was sitting outside on a friend's porch, the trees around me started to dance, they turned into tribal figures, and their dance was almost hyponotic. Then, more and more people kept showing up, and I realized that I didn't recognize them. Slowly I came to the epiphany that there were not people actually coming and going, they were just there, and I was stuck in a time warp. Deja vu, deja vu...Everything was deja vu. We decided that we should leave my friend's house, since we were locked out, and were just hanging out on his porch. It was the middle of the winter, and we were all going numb from cold along with the chemical enhancements.
The car ride, I got lost in the backseat. I knew in the back of my mind that we were in familiar territory, but I didn't recognize anything. I was in a whole new world.
We went to a church lounge to hang out. I laid on a couch, and the feeling of deja vu returned. I watched the same show on the tv about<PHONE_NUMBER>19047 times. Eventually, someone I didn't know (for real, not just because of the trip) walked in, and I was apparently laying on his coat (or so my friends tell me), and he told me to move, but I couldn't understand him, it was like he was speaking a completely different language.
This is when the space odessey began.
Will I ever be sober again?
The question kept running through my mind, how could what I be seeing not be real? how could I be a part of the strange world that I was watching from afar? This is when the trip took a sinister turn.
I had experienced a gentle numbness throughout the trip, until I got scared, then it felt like thousands of knifes were stabbing me all over my body, the pain was excruciating. Then, my mind was playing tricks on me, I forgot everything. I was lost and I didn't know where I belonged, the world was foreign to me and I didn't ever want to go back, though at the same time I didn't want to be in this state of mind anymore.
As I came down, reestablished my sanity as it were, I slowly realized that my mind had been expanded, though I still question today whether or not that is a positive or negative thing. I gained a new ability to put myself in others' shoes, I left my body and went into everyone else's body, and lived their lives for a while, I gained new insight into who they are as human beings. Then suddenly everything made sense to me, we are all one. Coinsciousness is a temporary state in each body, yet the collective coinsciousness is eternal. the reason that we should all be kind to each other and work to make life go smoothly for other people is that eventually coinsciousness will switch and you will be inside that other person's mind, and you will feel all of the pain that you have caused them, but at the same time all the joy that you caused.
The experience in itself has made me much more in tune with other people's feelings.
Overall, I don't recommend 2C-I for such an uncontrolled atmosphere that my experience took place. I'm sure the trip would have been different had I known what was going to happen, but I didn't and it scared the hell outta me. I'm never going to do another drug like 2C-I, it's taught me all I care to learn, but that isn't to say that other people can't have the experience, but get ready for a crazy ride if you so choose.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


'Speed 2: Cruise Control'
A movie review by Walter Frith
The title of 'Speed 2: Cruise Control' is an oxy-moron. The film is anything but in control whether it's intentional or not. What made the first film so incredible was that confined areas had plausible scenes of tension with a couple of exceptions. There was also a genuine acceptance for the second rate characters and a villain with panache and flamboyance. A lot of that is missing from this sequel that suffers from being nothing more than a crashing bore.
In one of the first opening scenes of 'Speed 2' we are asked to believe that reckless driving is funny and is part of being a free spirit as Sandra Bullock flunks out on her driving test and her boyfriend (Jason Patric) is a member of the LAPD just as her companion (Keanu Reeves) was from the first film. We are told she apparently broke up with Reeves because of the dangerous nature of his job. Why would she hook up with a guy in the same line of work? You can tell that Patric's role was originally intended for Reeves who decided not to make this sequel and he is off the hook from a badly written movie.
Bullock is astoundingly annoying in this film and director Jan DeBont who made the first film and 1996's 'Twister' should have recognized the bad jokes, frumpy dialogue and razor thin interest that 'Speed 2' would generate. I guess his background as a noted cinematographer has not allowed him at this point to catch these academic errors.
Willem Dafoe is a mad bomber this time around who sabotages Bullock and Patric's cruise in the Caribbean with computers and gadgets of assorted terror and his motivation is bent on revenge against the system that Dennis Hopper's villain had from the first film.  Jason Patric, who is such a good actor is naturally expected to save the day with his experience as a police officer but this time around his faceless, dull expressions make Keanu Reeves look like a genius.
This movie is an example that sometime less is more and while this sequel is bigger in its presentation of special effects, it's a reminder that quality and not quantity is what sells and that movie audiences don't want their intelligence insulted
OUT OF 5> zero
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title = "Where"
url = "/where"
layout = "default"
description = "Where page"
hidden = "0"
robot_index = "index"
robot_follow = "follow"
child_of = "mey_no_parent"
hide_crumb = "0"
remove_crumb_trail = "0"
crumb_disabled = "0"
[data_management_abbreviation dm_abbr]
[data_management_email dm_email]
[data_management_fax dm_fax]
[data_management_phone dm_phone]
[axc]
==
{{ axc.settings.address_street_name }} n. {{ axc.settings.address_street_number }} int. {{ axc.settings.address_street_int }}
{{ axc.settings.address_zip }} {{ axc.settings.address_city }}
({{ axc.settings.address_province }}) - {{ axc.settings.address_country }}
{% for email in dm_email.published if not(email.type starts with 'mc-') %}
{{ email.address }}
{% endfor %}
{% for phone in dm_phone.published if not(phone.type starts with 'mc-') and 'mobile' not in phone.type %}
{{ phone.number }}
{% endfor %}
{% for phone in dm_phone.published if not(phone.type starts with 'mc-') and 'mobile' in phone.type %}
{{ phone.number }}
{% endfor %}
{% for fax in dm_fax.published if not(fax.type starts with 'mc-') %}
{{ fax.number }}
{% endfor %}


Uncrate is one of my favorite sites because it's a blog about some of the latest, greatest, and most ridiculous gadgets a guy could want. Uncrate updates you on things ranging from bacon beer, electronics, the latest Aston Martin you can buy, shoes, and the latest fashion trend for men. I would describe the content on Uncrate as elegant, impractical, modern, ridiculous, and fun.
When you first visit Uncrate.com you notice a large image of the latest item they are feature on their blog. This instantly grabs your interests and makes you want to scroll down to read the description of the item. When you scroll down Uncrate has smaller images of previous items they have feature to fit more on the page when you scroll down - possibly to hook to stay on the page.
I would describe Uncrate.com as simple, modern, clean, elegant, and easy to navigate. If there's a particular category of items you are interested in, Uncrate lists links to specific categories such as gear, cars, style, tech, body, food, and vices at the top of their page. I believe that navigating through all the content is simple since images of the items are nice and big and the words are easy to read. Uncrate does a good job is also ensuring that you can click on the image or a link to the original’s product's website to purchase.
I honestly fee like I've wasted a lot of time browsing through the site of many items I personally have never purchased anything through uncrate - then again I'm not loaded with money. However I love looking at a lot of the innovation and creative creations that people are building in the various fields of interests Uncrate covered. Overall feeling I feel pretty excited and happy to see all these interested and innovated creations created by people.
Hypem is one of my favorite ways to discover new music and remixes of my favorite songs. Hypem is sort of a special place where DJs add their own twists to popular songs and users can up vote or down vote if they like the song.
When you visit Hypem you are initially down to the list of songs they are featuring and advertisements on the right side of the page. The list of the songs are the most important parts of the website. I would describe the website as a little simple, light, and basic. Hypem connects music producers to an audience of people that are looking explore a variety of music. Everyday thousands of people around the world write music and upload them to Hypem for others to share and discover. I would describe the content as fun, interesting, exciting, and addicting. It can be addicting because its fun to search your favorite songs and listen to all the various remixes or variations of your favorite song.
I believe Hypem can be a little confusing to navigate and how to utilize the site in searching for music. Initially when you arrive to Hypem you are shown the most recent popular trending song. The site is relative simple to navigate since you can hover over tags and see what kind of music types you’d like to explore. Overall I get a happy, fun, and exciting vibe when visiting Hypem. It’s always exciting to discover new songs or music you enjoy. The site does not sell any of the songs individually and does list advertisements on the side of the page. I have personally never purchased anything from the site and use it more just play around and listen to various artists and remixes of songs I like.
Marketwatch is one of my favorite site because it does a good job of providing the latest financial and business related news. I believe when you fist go to Market watch there is a sense of information overload. You first see the featured news articles and a graph of the stock market. I would describe Marketwatch as visual, cluttered, bland, and crammed. Marketwatch provides up to date financial and market news. A lot of the content are related to companies, the federal reserve, stock markets, international markets, economy, investing, and much more.
I would describe the content of the website to be serious, business-oriented, ad-free, and practical. I believe this the content fits the design of the of page because a lot of people that visit Marketwatch are more about taking in as much relevant content than having an aesthetically pleasing and spaced out site. At first it may be hard to find what you are looking for since there is a lot of links and words crammed onto the webpage. Maerketwatch does do a good job to section out the site so that users can easily navigate to a section of the page they like.
I feel updated, educated, and more knowledgeable about what is going on in the world after visiting Marketwatch. Marketwatch has a lot of great articles to read so one can easily get lost and spend quite some time on the website.


Lists Tests
ul
default
Multiple levels
- First
- Second
- Sub-1
- Sub-2
- Sub-sub-1
- Sub-sub-2
- Sub-sub-3
- Sub-3
Multiple levels of numbers
- First
- Second
- Sub-1
- Sub-2
- Sub-sub-1
- Sub-sub-2
- Sub-sub-3
- Sub-3
list-style: disc
list-style: square
list-style: circle
list-style: linear-gradient(to top left, red, green)
list-style: inside url(list-item.png)
list-style: outside url(list-item.png)
list-style: outside url(90s-bg.png)
list-style: outside url(data:image/png)
ol
default
- First
- Second
- Third
list-style: decimal
- First
- Second
- Third
list-style: decimal-leading-zero
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: lower-alpha
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: upper-alpha
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: upper-roman
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: lower-roman
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
list-style: outside lower-roman url(list-file.png)
- First
- Second
- Third
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
- Another Entry
'none' values
list-style: none
list-style: none square
list-style: square none
list-style: url(list-item.png) none
list-style: none none
list-style: inside none none
list-style: square none none (error)
list-style: none none none (is an error)


8.11. Iterators and the iter() Function8.11.1. What Are Iterators?
Iterators were added to Python in version 2.2 to give sequence-like objects a sequence-like interface. We formally introduced sequences back in Chapter 6. They are just data structures that you can "iterate" over by using their index starting at 0 and continuing till the final item of the sequence. Because you can do this "counting," iterating over sequences is trivial. Iteration support in Python works seamlessly with sequences but now also allows programmers to iterate through non-sequence types, including user-defined objects. Iterators come in handy when you are iterating over something that is not a sequence but exhibits behavior that makes it seem like a sequence, for example, keys of a dictionary, lines of a file, etc. When you use loops to iterate over an object item, you will not be able to easily tell whether it is an iterator or a sequence. The best part is that you do not have to care because Python makes it seem like a sequence. 8.11.2. Why Iterators?The defining PEP (234) cites that iterators:
8.11.3. How Do You Iterate?Basically, instead of an index to count sequentially, an iterator is any item that has a next() method. When the next item is desired, either you or a looping mechanism like for will call the iterators next() method to get the next value. Once the items have been exhausted, a StopIteration exception is raised, not to indicate an error, but to let folks know that we are done. Iterators do have some restrictions, however. For example, you cannot move backward, go back to the beginning, or copy an iterator. If you want to iterate over the same objects again (or simultaneously), you have to create another iterator object. It isn't all that bad, however, as there are various tools to help you with using iterators.
There is a reversed() built-in function that returns an iterator that traverses an iterable in reverse order. The enumerate() BIF also returns an iterator. Two new BIFs, any() and all(), made their debut in Python 2.5they will return true if any or all items traversed across an iterator have a Boolean true value, respectively. We saw earlier in the chapter how you can use it in a for loop to iterate over both the index and the item of an iterable. There is also an entire module called itertools that contains various iterators you may find useful. 8.11.4. Using Iterators with ...SequencesAs mentioned before, iterating through Python sequence types is as expected: >>> myTuple = (123, 'xyz', 45.67) >>> i = iter(myTuple) >>> i.next() 123 >>> i.next() 'xyz' >>> i.next() 45.67 >>> i.next() Traceback (most recent call last): File "", line 1, in ? StopIteration If this had been an actual program, we would have enclosed the code inside a try-except block. Sequences now automatically produce their own iterators, so a for loop: for i in seq: do_something_to(i) under the covers now really behaves like this: fetch = iter(seq) while True: try: i = fetch.next() except StopIteration: break do_something_to(i) However, your code does not need to change because the for loop itself calls the iterator's next() method (as well as monitors for StopIteration). DictionariesDictionaries and files are two other Python data types that received the iteration makeover. A dictionary's iterator traverses its keys. The idiom for eachKey in myDict.keys() can be shortened to for eachKey in myDict as shown here: >>> legends = { ('Poe', 'author'): (1809, 1849, 1976), ... ('Gaudi', 'architect'): (1852, 1906, 1987), ... ('Freud', 'psychoanalyst'): (1856, 1939, 1990) ... } ... >>> for eachLegend in legends: ... print 'Name: %s\tOccupation: %s' % eachLegend ... print ' Birth: %s\tDeath: %s\tAlbum: %s\n' \ ... % legends[eachLegend] ... Name: Freud Occupation: psychoanalyst Birth: 1856 Death: 1939 Album: 1990 Name: Poe Occupation: author Birth: 1809 Death: 1849 Album: 1976 Name: Gaudi Occupation: architect Birth: 1852 Death: 1906 Album: 1987 In addition, three new built-in dictionary methods have been introduced to define the iteration: myDict.iterkeys() (iterate through the keys), myDict.itervalues() (iterate through the values), and myDict.iteritems() (iterate through key/value pairs). Note that the in operator has been modified to check a dictionary's keys. This means the Boolean expression myDict.has_key(anyKey) can be simplified as anyKey in myDict. FilesFile objects produce an iterator that calls the readline() method. Thus, they loop through all lines of a text file, allowing the programmer to replace essentially for eachLine in myFile.readlines() with the more simplistic for eachLine in myFile: >>> myFile = open('config-win.txt') >>> for eachLine in myFile: ... print eachLine, # comma suppresses extra \n ... [EditorWindow] font-name: courier new font-size: 10 >>> myFile.close() 8.11.5. Mutable Objects and IteratorsRemember that interfering with mutable objects while you are iterating them is not a good idea. This was a problem before iterators appeared. One popular example of this is to loop through a list and remove items from it if certain criteria are met (or not): for eachURL in allURLs: if not eachURL.startswith('http://'): allURLs.remove(eachURL) # YIKES!! All sequences are immutable except lists, so the danger occurs only there. A sequence's iterator only keeps track of the Nth element you are on, so if you change elements around during iteration, those updates will be reflected as you traverse through the items. If you run out, then StopIteration will be raised. When iterating through keys of a dictionary, you must not modify the dictionary. Using a dictionary's keys() method is okay because keys() returns a list that is independent of the dictionary. But iterators are tied much more intimately with the actual object and will not let us play that game anymore: >>> myDict = {'a': 1, 'b': 2, 'c': 3, 'd': 4} >>> for eachKey in myDict: ... print eachKey, myDict[eachKey] ... del myDict[eachKey] ... a 1 Traceback (most recent call last): File "", line 1, in ? RuntimeError: dictionary changed size during iteration This will help prevent buggy code. For full details on iterators, see PEP 234. 8.11.6. How to Create an IteratorYou can take an item and call iter() on it to turn it into an iterator. Its syntax is one of the following: iter(obj) iter(func, sentinel) If you call iter() with one object, it will check if it is just a sequence, for which the solution is simple: It will just iterate through it by (integer) index from 0 to the end. Another way to create an iterator is with a class. As we will see in Chapter 13, a class that implements the __iter__() and next() methods can be used as an iterator. If you call iter() with two arguments, it will repeatedly call func to obtain the next value of iteration until that value is equal to sentinel. |


Oklahoma Association of Realtors announces leadership class
by Staff reportsThe Oklahoma Association of Realtors announces its 2019 Class of LeadershipOAR, a program that identifies emerging Realtor leaders to help maximize their skills to lead state associations and local boards.
“LeadershipOAR consists of industry experts who have proven their commitment and dedication to real estate,” OAR CEO Jessica Hickok said. “Each year, we strive to pass the torch to the next set of individuals who will serve Oklahomans by giving them access to the network, tools and resources they need to succeed.
“Each class builds a bond with one another and the class of 2019 is no different. This class can walk away from this experience proud of their past achievements while looking forward to what’s to come in the future of their careers.”
In addition to their personal leadership development, LOAR students also work on a specific project together. The most recent class promoted Realtor license plates, which benefit the Oklahoma Housing Foundation.
The members of the 2019 Class of LeadershipOAR are:
• Anya Mashaney, Oklahoma City Metro Association of Realtors.
• Chaera Bartel, Greater Tulsa Association of Realtors.
• Dana Cramer, Stillwater Board of Realtors.
• Donna Reid, North Central Board of Realtors.
• Donna White, Northeast Oklahoma Board of Realtors.
• Elizabeth "Shae" Pearson, Greater Tulsa Association of Realtors.
• Heidi Rose, Edmond Board of Realtors.
• Jennifer Smithson, Northwest Oklahoma Association of Realtors.
• Kevin Francis, Greater Tulsa Association of Realtors.
• Susan Watt, Southern Oklahoma Board of Realtors.
• Torrie Vann, Northwest Oklahoma Association of Realtors.


Informally known as "Truman Syndrome", the Truman Show Delusion is a type of delusion in which the person believes their lives are staged reality shows, being watched by cameras 24/7 The term "Truman show Delusion" was coined in 2008 by psychiatrist Joe Gold and neurophilosopher, Ian Gold. It came about after the film "The Truman Show" starring Jim Carrey, and although has many reported cases, is not recognized by the Diagnostic and Statistical Manual of the American Psychiatric Association.
The Truman Show was a comedy film released in 1998 in which Jim Carrey portrays a man who discovers he is living in a constructed reality that is televised around the world. All of the people in his life are paid actors, as he uncovers the truth about his reality he fights to escape from those controlling his life. The film was inspired by an episode in 1989 of the Twilight Zone titled "Special Service". In this episode the protagonist learns that his life is being broadcasted 24/7 to viewers worldwide. Many science fiction books repeat this same theme of a secretely broadcasted reality but none share the reality show aspect of the Truman Show.


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Voice
public struct Voice: JSONDecodable
A voice supported by the Text to Speech service.
-
The URI of the voice.
Declaration
Swift
public let url: String
-
The gender of the voice: male or female.
Declaration
Swift
public let gender: String
-
The name of the voice. Use this value as the voice identifier in all requests that accept a voice.
Declaration
Swift
public let name: String
-
The language and region of the voice; for example, en-US for US English.
Declaration
Swift
public let language: String
-
A description of the voice.
Declaration
Swift
public let description: String
-
Indicates whether the voice can be customized with a custom voice model.
Declaration
Swift
public let customizable: Bool
-
A Customization object that provides information about a specific custom voice model for the voice. Returned only when a customization_id is is specified with the call.
Declaration
Swift
public let customization: Customization?
-
Used internally to initialize a
Voice
model from JSON.Declaration
Swift
public init(json: JSON) throws


--- layout: page title: About header-img: "img/about-bg.png" ---
New to blogging. Doing for the Flatiron Course.


--- layout: post title: Happy birthday, Rails! categories: [] author: admin published: true date: 2005-07-24 19:35:40.000000000 +01:00 ---
Rails was released one year ago. Can you imagine than its been that long? Or that short, really, considering how far we’ve come. What do you think it’ll look like in a year?


A few months ago, the undending series of recent scandals inspired me to see whether it would be possible to comb through the text of New York Times articles and automatically detect and identify different scandals that have occurred. I wanted to see if, given articles about the DOJ, IRS, NSA and all the rest, whether the text would be enough for an algorithm to identify them as distinct scandals and distinguish them from one another, in an unsupervised fashion.
This also gave me an excuse to explore gensim and show off some of pandas capabilities for data-wrangling.
The IPython notebook for this post is available at this repo (and I grabbed the ggplot-esque plot settings from Probabilistic Programming for Hackers).
Let's get started by by picking up where we left off scraping the data in part 1, and pull all those articles out of mongo.
from __future__ import division
import json
import pandas as pd
import numpy as np
from time import sleep
import itertools
import pymongo
import re
from operator import itemgetter
from gensim import corpora, models, similarities
import gensim
from collections import Counter
import datetime as dt
import matplotlib.pyplot as plt
pd.options.display.max_columns = 30
pd.options.display.notebook_repr_html = False
%load_ext autosave
%autosave 30
connection = pymongo.Connection("localhost", 27017)
db = connection.nyt
raw = list(db.raw_text.find({'text': {'$exists': True}}))
I ran this the first time, to make sure it doesn't choke on title-less documents (there should be code to fix it in pt. 1 now, though):
for dct in raw:
if 'title' not in dct:
dct['title'] = ''
The format
function should be pretty self-explanatory, and search
is to be used later on to verify topic words.
def format(txt):
"""Turns a text document to a list of formatted words.
Get rid of possessives, special characters, multiple spaces, etc.
"""
tt = re.sub(r"'s\b", '', txt).lower() #possessives
tt = re.sub(r'[\.\,\;\:\'\"\(\)\&\%\*\+\[\]\=\?\!/]', '', tt) #weird stuff
tt = re.sub(r' *\$[0-9]\S* ?', ' <money> ', tt) #dollar amounts
tt = re.sub(r' *[0-9]\S* ?', ' <num> ', tt)
tt = re.sub(r'[\-\s]+', ' ', tt) #hyphen -> space
tt = re.sub(r' [a-z] ', ' ', tt) # single letter -> space
return tt.strip().split()
def search(wrd, df=True):
"""Searches through `raw` list of documents for term `wrd` (case-insensitive).
Returns titles and dates of matching articles, sorted by date. Returns
DataFrame by default.
"""
wrd = wrd.lower()
_srch = lambda x: wrd in x['text'].lower()
title_yr = ((b['title'], b['date'].year) for b in filter(_srch, raw))
ret = sorted(title_yr, key=itemgetter(1))
return pd.DataFrame(ret, columns=['Title', 'Year']) if df else ret
dmap = lambda dct, a: [dct[e] for e in a]
Now apply the format
function to all the text, and convert it to a dictionary of word counts per document form that gensim's models can work with. The TfidfModel
transformation will take into account how common a word is in a certain document compared to how common it is overall (so the algorithm won't just be looking at the most common, but uninformative words like the or and).
texts = [format(doc['text']) for doc in raw]
dictionary = corpora.Dictionary(texts)
corpus = [dictionary.doc2bow(text) for text in texts]
tfidf = models.TfidfModel(corpus)
tcorpus = dmap(tfidf, corpus)
np.random.seed(42)
model = models.lsimodel.LsiModel(corpus=tcorpus, id2word=dictionary, num_topics=15)
As far as I know, the only way to get the topic information for each article after fitting the model is looping through and manually grabbing the topic-score list for each article.
_kwargs = dict(formatted=0, num_words=20)
topic_words = [[w for _, w in tups] for tups in model.show_topics(**_kwargs)]
%%time
it = itertools.izip(corpus, ((d['title'], d['date']) for d in raw))
topic_data = [] #for each article, collect topic with highest score
_topic_stats = [] # gets all topic-score pairs for each document
for corp_txt, (tit, date) in it:
_srtd = sorted(model[corp_txt], key=itemgetter(1), reverse=1)
top, score = _srtd[0]
topic_data.append((tit, date, top, score))
_topic_stats.append(_srtd)
topic_stats = [tup for tups in _topic_stats for tup in tups] #flatten list(tuples) -> list
The topic_data
and _topic_stats
lists keep data on each article and sorted lists of topic-score tuples:
print topic_data[0]
print _topic_stats[0]
Now we can put the topic information into pandas, for faster, easier analysis.
df = pd.DataFrame(topic_data, columns=['Title', 'Date', 'Topic', 'Score'])
df.Date = df.Date.map(lambda d: d.date())
print df.shape
df.head()
By plotting the distribution of topic labels for each document, we can now see that the detected topics are not very evenly distributed.
vc = df.Topic.value_counts()
plt.bar(vc.index, vc)
_ = plt.ylabel('Topic count')
# df.Topic.value_counts() #This would give the actual frequency values
One high level question I had was if certain topics can be seen varying in frequency over time. Pandas' groupby
can be used to aggregate the article counts by year and topic:
year = lambda x: x.year
sz = df.set_index('Date').groupby(['Topic', year]).size()
sz.index.names, sz.name = ['Topic', 'Year'], 'Count'
sz = sz.reset_index()
sz.head()
which can then be reshaped with pivot
, giving us a Year $\times$ Topic grid:
top_year = sz.pivot(index='Year', columns='Topic', values='Count').fillna(0)
top_year
In Pandas land it's easy to find lots of basic information about the distribution--a simple boxplot will give us a good idea of the min/median/max number of times a topic was represented over the 21 years.
plt.figure(figsize=(12, 8))
top_year.boxplot() and None
Topics 8, 9, 11 and 12 hardly show up, while in typical years topics like 1 and 2 are heavily represented. The plot also shows that articles most closely associated with topic 2 actually show up 250 times for one year.
(For the curious, viewing the distribution of scandalous articles across topics for each year is as easy as top_year.T.boxplot()
.)
The plot
method can automatically plot each column as a separate time series, which can give a view of the trend for each scandal-topic:
_ = top_year.plot(figsize=(12, 8))
The number of times articles with different topics show up in a year varies a lot for most of the topics. It even looks like there are a few years, like 1998 and 2006 where multiple topics spike. Plotting the sum of articles for all topics in a given year can verify this:
_ = top_year.sum(axis=1).plot()
Now it's time to look at the words that the model associated with each topic, to see if it's possible to infer what each detected topic is about. Stacking all the words of the topics and getting the value counts gives an idea of how often certain words show up among the topics:
pd.options.display.max_rows = 22
top_wds_df = pd.DataFrame(zip(*topic_words))
vc = top_wds_df.stack(0).value_counts()
print vc
pd.options.display.max_rows = 400
It looks like the most common topic words are page, enron, bush and clinton, with gore just behind. It seems these words might be less helpful at finding the meaning of topics since they're closely associated with practically every topic of political scandal in the past two decades. It shouldn't be surprising that presidents show up among the most common topic words, and a cursory look at articles with the word page (using search
, defined above) makes it look like the word shows up both for sexual scandals involving pages, along with a bunch references to front page scandals or the op-ed page.
You can find specific headlines from my dataset that include the word page (which duckduckgo should be able to handle) with search('page')
.
In the following, I've given a simple score to the topic words based on how unique they are (from a low score of 0 for the most common, up to 11 for words that only appear for a single topic). All 15 topics are summarized below with the top words scored by how common they are.
Topics 1 and 6 look to have the most cliched scandal words, while the last few topics are characterized by quite a few unique words.
pd.options.display.line_width = 130
top_wd_freq = {w: '{}-{}'.format(w, vc.max() - cnt) for w, cnt in vc.iteritems()}
top_wds_df.apply(lambda s: s.map(top_wd_freq))
Now comes the fun part, where we can try to find explanations for the choices of topics generated by Gensim's implementation of LSI. While LSI can be very good at finding hidden factors and relationships (i.e., topics) from different documents, there is no way that I'm aware of to easily interpret the algorithm to see why it groups documents with certain topics. The best way I know is to eyeball it, which we can do from the topic-word dataframe above.
For example, topics 1 and 5 include the words impeachment, lewinsky, gore, clinton and starr, so it's probably a safe bet to say they're referring to the Lewinsky scandal. And looking at the topic-year plot from above (In [17]
), we can see that at least topic 5 has a major spike in the years following the scandal.
Both also include the rather high-scoring terms prime and minister, which are probably indicative of the large number of world news summaries included under the topics. For example, 343 of Topic 1's articles have the title News Summary, while no other topic has even 40 summaries:
t1 = df[df.Topic == 1].Title.value_counts()
t1[t1 > 10]
Topic 3 looks like it's associated with state- and city-level scandals in the New England region. Aside from the cliched terms, we have rowland and rell, likely in reference to corruption in Connecticut, and some more pretty specific indicators like mayor, governor, cuomo, spitzer, city, state and albany.
Topic 12 looks like it covers New Jersey pretty well. Other than the state's name itself as one of the topic words, you've got Corzine, Torricelli, Codey, Schundler and Lautenberg, none of which appear outside of this topic except for Corzine.
Several look international in nature, especially topic 9, which has strong Italian (berlusconi, italy, italian and the unique andreotti terms) and Japanese (japan, japanese, Ozawa, Hosokawa and Kanemaru) showings, and also uniquely identifies German chancellor Helmut Kohl.
Topic 13 seems to represent public finance scandals, with unique terms budget, tax, percent, billion and plan, while topic 8 looks like it pertains more to campaign finance, with unique terms soft, money, raising, earmarks and lobbyists. Topic 7 looks like it has to do with corporate scandals, leading with the admittedly pervasive enron term, but with largely unique terms accounting, stock, corporate, attorney, counsel, investigation, companies and justice [as in Department of...?] as well.
And finally the 2nd topic appears to have a lot of legislative factors in it, with terms unique terms house, senate, lawmakers, ethics, committee, bill and parliament.
The results give a much less fine-grained view of scandals than what I was expecting, either because of the sources (not enough articles devoted specifically enough to particular scandals? text not sufficiently preprocessed) or the algorithm (wrong algorithm for the task? wrong settings?). Plus, it turns out there have been a lot of American political scandals in the last 20 years. Perhaps more clear patterns could be discerned by expanding the number of topics.
The detected topics seem to have a lot of noise (for example, the presidents' names show up as key words in every topic), possibly due to the imbalance from some scandals being cited more frequently than others. But when you cut out the noise and try to characterize the topics by the more infrequent key words, I was surprised by the topic clusters it was actually able to detect, from international scandals to corporate scandals to Jersey scandals. I was unfortunately not able to detect the recent set of scandals, but from the experiment, the good scandals seem to require a few years to age before there is enough data to detect them. Hopefully today's events will be easy enough to spot by rerunning this in a few months or years.
All in all, it was a fun exercise and a good reminder of the strong tradition of corruption we're part of.


Before Change
if __version__ != _state["version"]:
logger.warning("Loaded model is from baseline version %s, running version is %s", _state["version"], __version__)
_state["sess"] = kwargs.pop("sess", tf.Session())
embeddings_info = _state.pop("embeddings")
embeddings = reload_embeddings(embeddings_info, basename)
// If there is a kwarg that is the same name as an embedding object that
// is taken to be the input of that layer. This allows for passing in
// subgraphs like from a tf.split (for data parallel) or preprocessing
// graphs that convert text to indices
for k in embeddings_info:
if k in kwargs:
_state[k] = kwargs[k]
// TODO: convert labels into just another vocab and pass number of labels to models.
labels = read_json("{}.labels".format(basename))
model = cls.create(embeddings, labels, **_state)
model._state = _state
if kwargs.get("init", True):
After Change
if __version__ != _state["version"]:
logger.warning("Loaded model is from baseline version %s, running version is %s", _state["version"], __version__)
_state["sess"] = kwargs.pop("sess", tf.Session())
with _state["sess"].graph.as_default():
embeddings_info = _state.pop("embeddings")
embeddings = reload_embeddings(embeddings_info, basename)
// If there is a kwarg that is the same name as an embedding object that
// is taken to be the input of that layer. This allows for passing in
// subgraphs like from a tf.split (for data parallel) or preprocessing
// graphs that convert text to indices
for k in embeddings_info:
if k in kwargs:
_state[k] = kwargs[k]
// TODO: convert labels into just another vocab and pass number of labels to models.
labels = read_json("{}.labels".format(basename))
model = cls.create(embeddings, labels, **_state)
model._state = _state
if kwargs.get("init", True):
model.sess.run(tf.global_variables_initializer())
model.saver = tf.train.Saver()
model.saver.restore(model.sess, basename)
return model
@property
def lengths_key(self):
return self._lengths_key


Also known as 'the book', the PSudo Guidebook will take you to tour the overall feature of PSudo.
TODO: PSudo API Document
the PSudo Reference Book contains a specification of the PSudo.
Also known as ‘the 'nomicon’, the PSudonomicon teaches you a black magic of the PSudo.


ComplexMonikerClass
contains the following instance data:
Code Display 2-3 ComplexMonikerClass Instance Data
ComplexMoniker ClassName
@instance TextStyle CMI_textStyle = (TS_BOLD);
@instance word CMI_topText;
@instance word CMI_iconBitmap;
@instance byte CMI_fontSize;
Because
ComplexMonikerClass
is a variant class, it needs to have its superclass assigned when it is built. The
ComplexMoniker
keyword represents the parent class of the complex moniker. By setting this keyword to a class name the parent class is changed from the default superclass GenClass
to the specified class. Any child of GenClass
may be a complex moniker superclass. The following are commonly used superclasses:
GenTriggerClass
GenInteractionClass
GenItemGroupClass
GenItemClass
GenBooleanGroupClass
GenDynamicListClass
ContactListClass
Each of these classes will behave quite differently, but all will exhibit the same characteristics in displaying their text and icon monikers that are gained through using
ComplexMonikerClass.
Note that using a ComplexMoniker object will cause the specific UI to ignore any moniker stored in the GI_
visMoniker
instance data field in the above classes.
CMI
_topText
stores the "text" to display. This may be either a Chunkhandle to a text string, or a
ComplexMonikerText
identifier. If the value is a
ComplexMonikerText
identifier, the specific UI will determine what exact text is displayed.
As noted, the text may contain two lines. The top text is limited to COMPLEX_MONIKER_MAX_TOP_TEXT_LENGTH while the bottom is limited to COMPLEX_MONIKER_MAX_BOTTOM_TEXT_LENGTH.
Below is a complete list of types; in most cases the (English) text on the Nokia 9000i device is similar, if not identical, to the text alluded to by the identifier's name. Those cases where the actual text is noticeably different are noted. Using such an identifier is beneficial for localization purposes.
Code Display 2-4 Setting a Complex Moniker's Text
/* * The text in a complex moniker is stored within the CMI_topText instance field. * This text may either be referenced by a ChunkHandle ... */
@object ComplexMonikerClass MyMoniker = { ComplexMoniker = GenTriggerClass; CMI_topText = @MyText; }
/* Use the TCHAR type to ensure the text is DBCS-compliant. */
@chunk TCHAR MyText[] = "Sample Text";
/* * ... or CMI_topText can store a ComplexMonikerText type which indicates the text * generically. */
@object ComplexMonikerClass MyClearTrigger = { ComplexMoniker = GenTriggerClass; CMI_topText = CMT_CLEAR; }
CMI_
iconBitmap
stores the bitmap to display within this moniker. This may either be a ChunkHandle to a Bitmap structure or a member of the
ComplexMonikerBitmap
types. These types are enumerated below:
Again, using a generic identifier eases localization.
You can create your own bitmaps by using the GEOS Icon Editor. To do so, perform the following steps:
BMFormat
of BMF_4BIT). You may also create simple monochrome bitmaps (
BMFormat
of BMF_MONO).|
Icon Editor Color |
Nokia 9000i |
|---|---|
|
WHITE |
WHITE |
|
BLACK |
BLACK |
|
LIGHT_VIOLET |
LIGHT GRAY |
|
DARK_GREEN |
DARK GRAY |
filename
.goh using the following options:@visMoniker Moniker ={
@chunk byte YourIconName
[] = {
size = <...>; style = <...>; color = <...>; aspectRatio = <...>; cachedSize = <...,...>; gstring { GSFillBitmapAtCP(<...>),
GSEndString() }
Your resulting bitmap, ready for inclusion in your app, should look like this:
@chunk byte MyIconName[] = { Bitmap (32,20,BMC_PACKBITS, (BMT_MASK|BMF_4BIT)), 0xfd, 0xff, 0x03, 0xbf, ... };
CMI_
textStyle
stores a GEOS
TextStyle
, defined in
graphics.h
. By default, text is shown as TS_BOLD. The full list of styles appears below:
CMI
_fontSize
stores a font size (in points). There are four pre-established font sizes that you should choose from:
#define FOAM_LARGE_FONT_SIZE 20 #define FOAM_NORMAL_FONT_SIZE 18 #define FOAM_LIGHT_FONT_SIZE 17 #define FOAM_SMALL_FONT_SIZE 16
The large font size is best reserved for commands and title bar monikers. In most other cases, use the normal font size.
The default font can be obtained by those routines or objects that demand a font name by using the
VisTextDefaultFont
value VTDF_RESPONDER.
There are several vardata attributes that you may attach to the Complex Moniker. These are noted below:
Code Display 2-5 ComplexMoniker Vardata
@vardata void ATTR_COMPLEX_MONIKER_PLACE_BITMAP_AT_LEFT;
@vardata void HINT_COMPLEX_MONIKER_DRAW_SEPARATOR; @vardata void HINT_COMPELX_MONIKER_DONT_DRAW_SEPARATOR;
ATTR_COMPLEX_MONIKER_PLACE_BITMAP_AT_LEFT will position the icon bitmap (if any) to the left of the text.
HINT_COMPLEX_MONIKER_DRAW_SEPARATOR
draws a single-line separator below the complex moniker.
HINT_COMPLEX_MONIKER_DONT_DRAW_SEPARATOR
prevents the drawing of a single-line separator below the complex moniker.


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StatusBarProgress()
语法
StatusBarProgress(#StatusBar, Field, Value [, Appearance [, Min, Max]])概要
Display a progress bar in the specified 'Field' in the given '#StatusBar'.
参数
#StatusBar The status bar to use. Field The field index to set the progress bar. The first field index starts from zero. Value This specifies the current progress (relative to the current minimum and maximum). To update this value simply call this command again with a different value. Appearance (optional) It can be used to alter the look of the field with the following values: #PB_StatusBar_Raised : raised borders (has no effect on OS X) #PB_StatusBar_BorderLess: without borderMin, Max (optional) Specifies the boundaries of the progress bar. If they are not specified or have the value #PB_Ignore then current boundaries will be used. The default 'Min' and 'Max' values for newly created status bar fields are 0 and 100.
返回值
无.
示例
If OpenWindow(0, 0, 0, 340, 50, "StatusBarProgress", #PB_Window_SystemMenu | #PB_Window_ScreenCentered | #PB_Window_SizeGadget) If CreateStatusBar(0, WindowID(0)) AddStatusBarField(120) AddStatusBarField(170) EndIf StatusBarText(0, 0, "ProgressBar !") StatusBarProgress(0, 1, 25) Repeat Until WaitWindowEvent() = #PB_Event_CloseWindow EndIf
已支持操作系统
所有


Come and save the Earth from hordes of alien invaders in this completely free fast-paced alien shooter.
A top-down twin stick shooter for XBOX360. Developed using XNA by a team of 3 cool dudes. I was responsible for majority of programming, including AI, gameplay, fancy shaders, particle effects, boss behaviors, performance optimization, and leading by example! ;)


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Several ideas and themes were brought up when it came to coming up with an idea for this project. Themes such as the metamorphosis of a butterfly were one of them and also the timeline of the endangerment of tigers. I originally thought of those two ideas in the beginning because I believed that the metamorphosis process would be a good narrative. My interest and love for tigers was the reason for my second idea. But in the end I ended up doing neither of the two original concepts and came up with skydiving. The idea came while playing a videogame called Fortnite, a third-person shooter game that has become highly popular in the past few months. The games starts off with the player's avatar skydiving after jumping off the plane and dropping at a certain area in the map and the end goal is to win against 99 other players that are present in the server. And thus my theme was finalized.
My final site ended up the same as my first storyboard sketches that consisted of 5 frames. Not a lot of changes were made besides some illustrations. The first frame consisted of the title and the plane that the skydiver would drop out off. As the user scrolls down the page different facts or narrative material are supposed to pop out. As the diver gets closer to the ground eventually the parachute would deploy and the diver would land safely and that would show the end of the website.
Playing around with the different codes that were taught to us in class helped in the creation of this webpage. The basic long scroll that was created in class became the skeleton of the long scrolling page. The animations in the page were achieved with keyframes in css and the long scroll was created in javascript.
Coming up with an art style for this project took long than it should. I debated between a realistic depiction of the narrative by using stock photos or illustrating them myself in illustrator, in the end i decided on the latter. I used a flat art style in the illustrations, drawing is not my strongest point but by using a flat style I can create the images fully in illustrator and using tools that i'm already familiar with, such as the pen tool and basic shapes. I also went to different websites to come up with the right color palette and find the range of colors that would work with the style that I'm going to be working with.
I ended up with a website that I'm pretty satisfied with and I believe that at this point in my academic career this is something that would be more than happy to turn in. This project made me think outside of the box when it came to figuring out the different codes that would go together in order for it to work. It's still an ongoing project that I would very much like to expand and hopefully improve in the future.
skydivesantabarbara.com
skydivelongisland.com
skydiveorange.com
ART 3879: Web Authoring
Winter 2018
California State University, East Bay


The HXL Proxy is an online data engine for datasets tagged using the Humanitarian Exchange Language (HXL). It performs the same tasks as the query engine in a relational database like Oracle or MySQL—transforming, sorting, aggregating, filtering, cleaning, joining, and validating data—except that instead of operating on internally-stored data tables, it lets you operate directly on HXL-hashtagged spreadsheets or other data files stored anywhere on the Web (including HDX, Dropbox, Google Drive, or your own web site).
Where's the documentation?
Detailed documentation is available online in the HXL Proxy wiki.
How do I report a problem or ask for a feature?
To report bugs or new-feature requests, please visit https://github.com/HXLStandard/hxl-proxy/issues.
Who uses it?
The HXL Proxy helps power several humanitarian data tools behind the scenes, including IFRC Go, the Humanitarian Data Exchange (HDX), Quick Charts, and Data Check.
Since any humanitarian organisation is welcome to use the Proxy without pre-registration, there are likely other applications that we do not yet know about.
What about private data?
The free service at proxy.hxlstandard.org is intended only for non-sensitive, publicly-accessible humanitarian data.
If you are dealing with sensitive data, you have two options:
- The HXL Proxy is mostly a wrapper around libhxl-python, a Python library for HXL data validation and transformation. You can install this Python package, and then use the built-in command-line tools in a shell script, or call out to the library directly from your own programmes.
- You are welcome to install your own version of the HXL Proxy web application on your personal computer, or on an Intranet inside your organisation's firewall. There is a Docker image available for fast deployment.
What software does it use?
(For a complete list of requirements, see the source code.)
| Software package | Release | {% for package, release in releases.items() %}
|---|---|
| {{ package }} | {{ release }} |


Anti virus products that are free for personal use include AntiVir, Avast!, AVG, bitdefender and ClamAV.
Last modified: 2015-10-20T20:31:53+01:00


---
layout: archive
---
STORY TIME: HOW WE MET OUR SOULMATES!!!!
But first, some stats...
Eric and Nicole have been dating since April 14, 2014 (almost 4 years at the time of the wedding).
During their relationship, Eric and Nicole were long distance for a sum of 18 months.
During their long distance, they exchanged thousands of messages. Here is a word cloud of their messages:
Our Timeline
- April 11, 2014 first message
- April 14, 2014 first date
- June 2014 - September 2014 long distance
- October 3, 2015 getting a dog together
- June 2015 Eric graduates from Cal Poly
- June 2015 - September 2016 long distance
- June 2016 Nicole graduates from Cal Poly
- September 5, 2016 moving in together
- March 4, 2017 getting engaged
- March 31, 2018 getting married
How We Met
We met on a dating app called OkCupid. Here is a screen shot of our first messages. It is very embarrassing.
We were both attending Cal Poly at the time, Eric finishing his Bachelors degree in Mechanical Engineering and Nicole at the end of her second year in Computer Science. We first met in person at the Campus Market Starbucks on campus, where we sat outside, drank iced black coffees, chatted about our spring breaks, and got sunburned (at least Eric did). Our first few dates were going to SLO farmer’s market, hiking the Cal Poly architecture graveyard, watching Wayne’s World at the Palm Theatre, and watching The Life Aquatic in Eric’s living room.
How We Got Engaged
Eric, Nicole, and Gracie were walking through Seward park in Seattle. We stopped at the edge of Lake Washington to skip rocks, just like we used to at Laguna Lake in San Luis Obispo. Eric is great at skipping rocks, but Nicole basically just throws the rocks in the water as hard as she can. After Nicole had given up on skipping rocks, Eric begged her to try one more time. Nicole started searching for a flat rock on the ground, and when she turned around, Eric was on one knee. He said, “Nicole Giusti, will you marry me?” Nicole hastily shoved the ring on her finger before saying “sure, I guess”. While walking away from the lake, Nicole immediately slipped and fell on a slippery log. After finishing our walk through Seward park, we got brunch with Gracie to celebrate.
Us @ Laguna Lake
Us 3 minutes after getting engaged
BONUS!!!! We Like Ice Cream
{% for post in paginator.posts %}
{% include archive-single.html %}
{% endfor %}
{% include paginator.html %}


This page includes my primary type of art. It contains OCs and normal pokemon. Fun fact: my favorite pokemon to draw is greninja.
A digital drawing of Greninja
Me as a Greninja
MB Greninja playing guitar


{% load static %}
We appreciate your business! For support related questions, please email bm-support@google.com.


String
public extension String
Helpers for dealing with environment variables. Lagerly based on this answer: https://stackoverflow.com/a/2821183/5272636
… names shall not contain the character ‘=’. For values to be portable across systems conforming to POSIX.1-2017, the value shall be composed of characters from the portable character set (except NUL and as indicated below) … Environment variable names used by the utilities in the Shell and Utilities volume of POSIX.1-2017 consist solely of uppercase letters, digits, and the
( ‘_’ ) from the characters defined in Portable Character Set and do not begin with a digit. Other characters may be permitted by an implementation; applications shall tolerate the presence of such names. Uppercase and lowercase letters shall retain their unique identities and shall not be folded together. … Note: Other applications may have difficulty dealing with environment variable names that start with a digit. For this reason, use of such names is not recommended anywhere. Source: https://pubs.opengroup.org/onlinepubs/9699919799/basedefs/V1_chap08.html
-
The rule Open Group’s own software adhere to when setting environment variables.
Declaration
Swift
var isStrictlyValidEnvironmentVariableName: Bool { get }
-
Most commonly used rule for environment variable naming
Declaration
Swift
var isValidEnvironmentVariableName: Bool { get }
-
The most permissive rule for environment variable naming. Will let thru names that can break stuff.
Declaration
Swift
var isAllowedEnvironmentVariableName: Bool { get }


Shahid Kapoor Visits Filmmaker Vishal Bhardwaj; Haider Duo Coming Together For Another Film?
21 Nov 2019, 04:48 by Nikita Thakkar
Shahid Kapoor is quite busy these days. He is prepping hard for his film Jersey. But amidst his hectic schedule, he took time out to visit filmmaker Vishal Bharadwaj. Is a new film on cards?
Shahid Kapoor gets clicked outside Vishal Bharadwaj's office by our shutterbugs (Image Source:- Viral Bhayani)
The director duo has worked on films like Haider, Kaminey and Rangoon (Image Source:- Viral Bhayani)
With them having a meeting, we wonder if a new film is on cards (Image Source:- Viral Bhayani)
Shahid Kapoor is dressed in shorts and a hoodie as he seems to have met Vishal straight after his gym session (Image Source:- Viral Bhayani)
Reports of Kaminey 2 being made are doing the rounds of gossip mills. Was this meeting planned to start work on this film? We are hoping (Image Source:- Viral Bhayani)


package {
location: "http://coapp.org/repository/${OutputFilename}";
feed: "http://coapp.org/repository/packages.atom.xml";
publisher: "Outercurve Foundation, CoApp Project";
}
identity[CoApp Project] {
name : "CoApp Project, Outercurve Foundation";
email<EMAIL_ADDRESS>website: "http://coapp.org";
}


:: com :: sun :: star :: ui :: dialogs ::
|
| constants group CommonFilePickerElementIds |
- Description
- These constants are used to specify common controls of a FilePicker dialog.
|
| Constants |
| PUSHBUTTON_OK |
The control id of the OK button.
|
| PUSHBUTTON_CANCEL |
The control id of the Cancel button.
|
| LISTBOX_FILTER |
The filter listbox of a FilePicker dialog.
|
| CONTROL_FILEVIEW |
Is used to refer to the file view of the file picker. This view shows the list of
all files/folders in the currently selected folder.
|
| EDIT_FILEURL |
Is used to refer to the edit line where a file or path can be entered by the user.
|
| LISTBOX_FILTER_LABEL |
The label of the filter listbox of a FilePicker dialog.
|
| EDIT_FILEURL_LABEL |
The label of the file name listbox of a FilePicker dialog.
|
| Constants' Details |
PUSHBUTTON_OK
const short PUSHBUTTON_OK = 1;
- Description
- The control id of the OK button.
|
|
PUSHBUTTON_CANCEL
const short PUSHBUTTON_CANCEL = 2;
- Description
- The control id of the Cancel button.
|
|
LISTBOX_FILTER
const short LISTBOX_FILTER = 3;
- Description
- The filter listbox of a FilePicker dialog.
|
|
CONTROL_FILEVIEW
const short CONTROL_FILEVIEW = 4;
- Description
- Is used to refer to the file view of the file picker. This view shows the list of
all files/folders in the currently selected folder.
|
|
EDIT_FILEURL
const short EDIT_FILEURL = 5;
- Description
- Is used to refer to the edit line where a file or path can be entered by the user.
|
|
LISTBOX_FILTER_LABEL
const short LISTBOX_FILTER_LABEL = 6;
- Description
- The label of the filter listbox of a FilePicker dialog.
- Since
- OOo 1.1.2
|
|
EDIT_FILEURL_LABEL
const short EDIT_FILEURL_LABEL = 7;
- Description
- The label of the file name listbox of a FilePicker dialog.
- Since
- OOo 1.1.2
|
|
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Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


A new way of building web UIs using Facebook's new React.js library ... but in ClojureScript with added "functional" benefits.
A Clojure compiler that emits JavaScript code
Its output can be optimized with Google's Closure compiler
Almost. Excluded are the bits that don't make sense in a JavaScript environment.
A JavaScript library for building user interfaces
No.
No.
No.
Just the view. No models. No controllers.
Data flow into the UI
Let v be a virtual DOM $$ diff(v_0, v_1) = \Delta $$
A ClojureScript interface to React.js written by David Nolen
Snapshots, Undo, efficient rendering
Source http://en.wikipedia.org/wiki/File:Purely_functional_tree_after.svg
Using Clojure's atom (CAS) and om's transact!
Cursors into global application state


{% extends "base.html" %} {% load ddh_utils_tags wagtailbase_tags highlight static mptt_tags %} {% block meta_title %} Search Results - page {{ page_obj.number }} {% endblock %} {% block headercss %} {% endblock %} {% block main %}
Autocomplete suggestions will appear once you start typing
Time frame: 509 B.C. - 31 B.C.
Documented life dates and estimated era dates. To search for a single year enter the same number in both boxes.
Eques R: persons identified as such in Nicolet.
Nobilis: persons described as such in the ancient sources.
Novi: persons described as such in the ancient sources.
Patrician: persons described as such in Broughton or Rüpke.
Adopted - all adopted sons.
Birth - persons with a documented or estimated year of birth.
Death - persons with a documented year of death.
Documented provinces or geographic locations associated with magistracies or posts.
Search the text of Broughton.


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Drag the green button to your bookmarks bar.Open Netflix and click on the bookmarklet to view all the movies at once. Enjoy!


I am a graduate Computer Science student at New York University, under the supervision of Yann LeCun , currently holding a Fellowship from La Caixa. My primary research interests are Deep Learning and Computer Vision, and my current research focus is in Deep Generative Models and sequence-to-sequence models for video.
This summer I will intern at Google as a Research Software Developer, where I will be working in the Mobile Vision team.
Previously, I graduated in both Computer Science and Electrical Engineering, and spent one fantastic year working as a Machine Learning engineer in Skyscanner.
I have a strong passion for Artificial Intelligence and spend my free time building stuff and training Machine Learning models. I am also passionated about Entrepreneurship and Startups, and always keep an eye on the social impact and bussiness side of AI. The two readings I have ever enjoyed the most, and that probably quite define myself are From Zero To One and La Casa de los espíritus.


JUST ANOTHER GIRL ON THE I.R.T. A film review by James Berardinelli Copyright 1993 James Berardinelli
Date Released: varies Running Length: 1:37 Rated: R (Language, sex, mature themes)
Starring: Ariyan Johnson, Kevin Thigpen, Ebony Jerido Director: Leslie Harris Producers: Erwin Wilson and Leslie Harris Screenplay: Leslie Harris Music: Eric Sadler Released by Miramax Films
Chantel (Ariyan Johnson) is a 17-year old high school student living in a housing project in Brooklyn. With excellent grades, high spirits, and even higher aspirations, she intends to graduate a year early, get into college, then go to medical school. As she sees them, her future plans are set in stone. Then she meets Tyrone (Kevin Thigpen). Pretty soon, one thing leads to another, and Chantel ends up pregnant. Undecided about an abortion, she must face critical questions upon which her entire future rests.
JUST ANOTHER GIRL ON THE I.R.T. (the I.R.T. is a New York subway system) tells a story that has been told a million times before. It's also something familiar on a more intimate, personal level to countless Americans. Nevertheless, as familiar and unspectacular as the plot might be, the manner in which the film looks at the subject is decidedly different. Leslie Harris brings a gritty perspective to this tale, making it seem more fresh and interesting than it actually is, and illustrating that it isn't just boys who live and suffer in the hood.
One of the film's strong points is that it gives us a rather stark view of some of the root causes of teenage pregnancy. In a discussion with some of her friends, Chantel claims that if a man and a woman have sex standing up, she can't get pregnant. Another girl says that pregnancy can't happen during a woman's period, and still another advocates withdrawal as a 100% foolproof method of birth control. These ideas are not just some filmmaker's plot device; they're a legitimate reflection of what a large portion of the teenage population (male and female) believes, and a good indication of why there are so many young mothers.
The questions that Chantel has to answer following her pregnancy are those that every girl in her position is faced with. Should she have an abortion? Can she tell her parents? How will her boyfriend react? She faces the situation by doing her best to hide it and thereby deny its existence, even going so far as to raid the refrigerator by night and throw out food so that her bulging midsection can be explained by midnight binges.
The greatest weakness of JUST ANOTHER GIRL ON THE I.R.T. is not its story, but an unfortunate tendency to preach to the audience. While I applaud Leslie Harris' desire to get certain issues out into the open (such as the need to give a truer perspective on history than is commonly found in many of America's classrooms), her methods leave a little to be desired. Having one of the characters launch into a didactic monologue not only lacks subtlety, but ruins the atmosphere of the scene. Other movies have found better ways to integrate messages; Leslie Harris should have taken lessons from them.
The production values are low, but this serves to further heighten the sense of starkness. Acting, all done by complete unknowns, varies from excellent (Ariyan Johnson) to mediocre. There are times when some of the performers appear to be reciting something from a script rather than speaking from the heart. Chantel, however, is consistently played with high energy and an appealing sassiness.
Overall, while JUST ANOTHER GIRL ON THE I.R.T. doesn't have the power or emotional depth of a BOYZ 'N THE HOOD, it is not without its strengths. There are a number of memorable moments. A childbirth scene is one of those. It is perhaps the most realistic that I've ever seen portrayed in a non-documentary--not just a couple of grunts and groans and out pops a baby. So, while the message of the film is as old as human society, the method of its presentation is new enough to make the movie worthwhile.
Rating: 7.8 (B, **1/2)
- James Berardinelli<EMAIL_ADDRESS>.
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Data Analysis and Visualization with R (Ecology Curriculum)
Justin Chun-ting Ho
University of Edinburgh
A graph from my PhD...
Another graph from my PhD...
My previous life...
(Illustration of me learning R)
If I can do it, you can do it too.
Time for more R
Tidyverse
%>%
Grammar of Graphics


Releasing (enterprise-grade) software.
Let's consider our own products only.
When do we call software stable?
Being able to get work done.
In our case, that means: planning trips.
Availability
My pick of the litter.
3 Anti-patterns and 4 Patterns.
When failures in some parts of the system, make the rest fail as well
SLA's cascade: if all of the services we use guarantee 99,9% then our maximum will ever be about 99,5%
We should decouple our SLA guarantees
Well... RTFM! ;-)


Connecting to rosbridge...
Connected
Error in the backend!
make sure to run: roslaunch rosbridge_server rosbridge_websocket.launch
Connection closed.
make sure to run: roslaunch rosbridge_server rosbridge_websocket.launch
/cmd_vel
Robot X: 0
Robot Z: 0
/dig/cmd_vel
dig: 0
dump: 0
/phidgetsensors
Battery Voltage: no data
Battery Current: no data
Motor Current: no data


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