Bikini Kill confirm further reunion live dates for 2020 – including a European festival appearance
They made their return earlier this year after more than two decades away
Bikini Kill have announced further reunion shows scheduled for 2020 – see the full list of dates below.
The US punk outfit made their long-awaited return over the summer, taking to the stage for the first time in 22 years for a tour which saw them perform two gigs at London’s O2 Academy Brixton.
Looking ahead to next year, the band have today (November 6) confirmed that they’ll be heading back out on the road in March through to late May for a string of US headline dates.
Kathleen Hanna and co. will stop off in Seattle, Portland, Boston and more cities on the stint. “We’re so excited to announce more shows in 2020,” Bikini Kill wrote on their official Twitter page.
The tour will be followed by a European festival appearance in August, with the group set to appear at Oslo’s Øya 2020 alongside Bon Iver and more. You can find more information and ticket details here.
Bikini Kill’s last show was a headline slot at Chicago’s Riot Fest back in September, which also featured live sets from Blink-182, The Raconteurs, Slayer, and more.
It has yet to be confirmed whether the band will write and record any new material. Bikini Kill’s last studio album, ‘Reject All American’, was released in 1996. They split the following year.


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Philosophy of Zoltan
The Zoltan library is designed to be a general-purpose tool-kit
providing a variety of parallel data management services to a wide range
of scientific applications (see the Zoltan
User's Guide). To enable general use of the library, the library does
not directly access the data structures of an application. Instead, the
library obtains information it needs through
an object-oriented interface between Zoltan and the
application.
This interface uses call-back query functions to gather information. An
application developer must write and register these query functions before
using Zoltan. The intent, however, is that the number
and complexity of these query functions are low, allowing applications
to easily interface with the library. In addition, new algorithm
development would use the same query functions as previous algorithms,
enabling applications to use new algorithms without changes to the query
functions.
In developing new algorithms for Zoltan, the developer
must write the code that calls the query functions to build the needed
data structures for the algorithm. However, the application need not change
its query functions. Thus, new algorithms can be added to the library and
used by an application with minimal effort on the part of the application
developer.
[Table of Contents | Next:
Coding Principles | Previous:
Introduction | Privacy and Security]


I've noticed a few things since I first designed the Lexica in Review.  Second, the whole 1-5 scale is pretty retarded, but I guess that's what happens when I start coding things half-assed at 2 in the morning. So I've decided to change it to a 1-10 scale by the oh-so-innovative scheme of multiplying everything by 2. Finally, some people take this thing way too seriously. If I had the foresight to save some of the hate mail I've gotten it would have made a nice addition to the page. Holy shit people, the real purpose of this page is to provide a listing of all the quiz team lexica out there. The reviews and stuff are just there in the slim chance that you find them amusing. So if you're going to send me some crazy hate mail, at least remind me to put it up on this page.
Oh yeah, check out Anthony de Jesus' Quizbowl Webpage Ratings for a similar endeavour on a more general scale.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Boston | 10 | 4 | 6 | N | 3 |
BU takes an interesting approach with their lexicon; in fact; I wouldn't even call it a
lexicon. What I would call it is a list, proudly described as "inside jokes" from the
BUCB constitution, that tries to be funny, but fails pretty well. Mercifully, the
big red ugly-ass stars are now gone.
Many thanks to K. M. Wilcox, for giving me the updated URL, so that people can once again laugh at this and wonder why it is still accessible.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Brigham Young University | 5 | 4 | 8 | N | 4 |
Unfortunately, this lexicon covers only the years 1984-6; evidently very little of
worth has happened since then. The content contains so many references to obscure
incidents from the quiz bowl Stone Age that it's hard to relate. Highlight: "Grand Slam."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Caltech | 50 | 6 | 10 | Y | 6 |
Highlights: "Wang Scale," "Defensive struggle." "Less than epsilon" is still pretty disturbing.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| California -- Berkeley | 50 | 6 | 10 | Y | 6 |
There have been some very nice changes since I checked it last. Most importantly, the
page has been separated into a lexicon and a subculture section. Cool layout too.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Carleton | N/A | 6 | 5 | N | 5 |
Carleton has a quote list, not a lexicon, so it is expected to be full of team-specific
jokes. Highlights: It mentions the VAX and "sputum."
Evidently this page is gone now. Is there some sort of replacement in the works? I'm getting all tingly just thinking about it...
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Carnegie Mellon | 20 | 4 | 8 | Y | 5 |
The CMU lexicon appears to have changed from the McElroy Self-Aggrandizement Society home
page to a lexicon chock-full of pedestrian pop-culture references. Highlights: "Shotgun,"
"Knowledge Whore."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Case Western Reserve University | 30 | 4 | 4 | Y | 5 |
Case Western has a whole lot of stuff on their info page, including the typical road trip
disasters/favorite restaurants. The lexicon, although hard to read, mocks and busts
on a lot of people, which is pretty cool.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Dartmouth | 30 | 6 | 9 | N | 6 |
This lexicon beats many others even though it hasn't been updated in quite a while. Highlights: "ACF Trash," "D-Plan."
According to their home page, their website is in the process of being redesigned.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Delaware | 5 | 4 | 8 | Y | 4 |
Delaware's lexicon is in the form of an "enemies list," which evidently is a synonym for
"lots of obscure inside jokes which no one else gives a damn about."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Duke | 25 | 5 | 4 | Y | 4 |
Hmm. Well, there are some good things on here. Unfortunately, they're overshadowed
by the high level of ignorance that dominates the page. Much like "Escape from L.A.,"
this lexicon has taken things that were done before and made them much much worse,
except we don't even get the consolation of mocking Kurt Russell's attempts to look tough.
Ignoring the laughably incorrect ACF entry and the NAQT-worshipping (NAQT's the only format that
rewards answering a tossup very early? uh, ok), there's stuff like the rather dismal
explanation of Harvest Bowl.
Highlights: "Cassandran," "Chris Webber rule."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Florida | 25 | 0 | 2 | N | 2 |
Not much there, and what's there isn't worth looking at.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Georgetown | 5 | 4 | 10 | N | 6 |
Plenty of inside jokes, but you really get a feeling of the team composition while reading them, because they're not all silly negs or car trip accidents. Highlights: "Chest Hair," "Who wrote Paradise Lost?"
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| GWU | 60 | 6 | 8 | N | 7 |
Contains definitions that most quizbowlers assume everyone already
knows, and also some inexplicable entries. Highlight: "Deb Fuller Award."
Bonus points for mentioning the Knot, and
for correctly asserting that a team simply called "Maryland" is
obviously from the flagship school at College Park, a fact lost on
some other (lesser) members of the University of Maryland system.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Harvard | 50 | 6 | 8 | Y | 6 |
A lot of the crap has been cut out, and what remains isn't that bad. Probably
the most amusing thing is that they included a definition of Colvin
Science. Highlights: "People Bowl," Top Ten List."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Johns Hopkins | 60 | 8 | 9 | N | 8 |
Highlights: The beginning manifesto on how to make a good lexicon, "Ho," "Negmeister."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Kentucky | 90 | 7 | 7 | Y | 7 |
Any lexicon that mentions Carrot Top and Andy Wang has to be pretty cool. Lots of good stuff.
It also provides useful annotations when necessary. Highlights: "Hat Trick," "Wangfest."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Michigan | 5 | 2 | 2 | Y | 2 |
Hmm. Although I feel bad for getting around to reviewing this a full four months after Craig Barker
asked me to, I still can't say much positive about it. True, other lexica pretty much
cover everything qb-related, that's no reason to inflict us with an entire page of
hockey and Canadiana.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| University of Maryland | ? | ? | ? | Y | ? |
Since I'm a little biased, I will let you decide about this one. There are actually three separate parts to the
MAQT lexicon -- the core lexicon, the recreational lexicon, to where most of the in-jokes are relegated, and the retired lexicon. If you look hard enough at the wallpaper, you should be able to figure out what "nothosonomia" is.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| North Carolina | 85 | 8 | 10 | N | 9 |
The lexicon idea at its best -- humorous and obnoxious, it reeks of the North Carolina teams of yore. Highlights: "Bawl Star," "B.P.P.," "No Soup for You!"
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| University of Oklahoma | 15 | 6 | 4 | Y | 5 |
Aagh! Bright green! Still contains a lot of whining about bad coaches and school
bureaucracies, (not like any other school has those problems), and plenty of travel crap.
When exactly did team lexica start becoming large lists of junk which no one would actually
say? Highlights: "Dilithium effect" (although the name isn't great), "Smithing."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Oxford University | 30 | 6 | 4 | Y | 6 |
Touted by its author as the first international lexicon, or as they pompously put it,
"Dictionary of Quizzing," it's fairly good for a first attempt. I was a little
disappointed to see a definition of "University Challenge," and no reference to the
episode of The Young Ones where they went on the show and it ended with
a giant eclair falling on the set. I might be remembering that last part wrong since
it sounds pretty retarded, although a big-ass sandwich did fall on their house
one time. Anyway, highlights: "Toss-up," "Quiz Machine."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Princeton | 10 | 4 | 8 | Y | 5 |
I was optimistic when I saw a reference to this review on their lexicon,
but was disappointed to see that they ignored every principle which
has been set forth in this page. I was rather amused that they mocked me, however. Mocking
is always a key element of any good lexicon.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Queen's College | 60 | 7 | 8 | Y | 8 |
Bonus points for using the suffix "-ass" repeatedly, and for putting the inside jokes at the end. Highlights: "American bias," "Bitch-ass," "Dungeons and Dragons" (needs a better name, though).
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Swarthmore | 20 | 6 | 9 | Y | 6 |
Some definite improvements since I checked last time. Highlight: "Liberal Arts School," "'Lame!' Rule."
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| University of Texas | 70 | 8 | 10 | Y | 8 |
Really nice layout. Cool pictures.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Vanderbilt University | 80 | 9 | 10 | Y | 9 |
Yo, this is some good shit. First of all, they separated the inside jokes from the rest of
the lexicon. Many things which quizbowlers take for granted but which have never been
precisely defined on a lexicon before are here. And it's pretty amusing too. I linked
directly to the uncensored lexicon to spare you the time of going there yourself, but any
lexicon that purports to also need an uncensored version has to be pretty cool.

Highlights: "Albert Round" (Al Whited's always a highlight), "Funk," many others.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Virginia | 100 | 6 | 8 | Y | N/A |
Well, I really can't blame them.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Virginia (Old) | 5 | 3 | 4 | Y | 2 |
The source who alerted me to the fact that the UVA page had been updated also commented that,
"Amazingly, it has become even more Hightocentric and delusional." Although it
has been superseded, I have salvaged it for posterity.
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Virginia Tech | 80 | 8 | 7 | Y | 8 |
A definite improvement over the last lexicon, the most amusing parts of which can still
be seen in the "Old School" section. A lot of amusing stuff, and plenty of things no one
else had thought to define before. Highlights: "Feeling dirty," "Hardcore," "Flossin'"
| School | Gen% | Ent. | Style | Updates? | Overall |
|---|---|---|---|---|---|
| Wichita State | 5 | 3 | 2 | ? | 3 |
Hmm. Get those broken image links fixed, then get back to me.


{% extends 'base.html' %} {% block content %}
I don't watch anime anymore. I stopped watching seasonal anime after 2017, and completely stopped after 2018.
My favorite anime studio is (was?) Studio Trigger. I'm a huge fan of Kill la Kill, Inferno Cop, and Space Patrol Luluco. I also really enjoy Type-Moon stuff. No love for Fate/Grand Order though, and the localization for Mahoutsukai no Yoru came out way too late for me to care.
I had a brief stint with fansubbing in 2017. I was an editor for Chihiro-Fansubs, but quit after two seasons due to lack of motivation. Fansubbing is dead.
I've attended many anime conventions (Otakon, Katsucon, Anime Boston, Anime Central, Anime NYC) but they're whatever to me. I don't care about cosplay, all the fan panels suck, and I usually end up purchasing merch that I could get cheaper online. I do enjoy their arcade sections (usually rented from Tokyo Attack); my go-to games include DDR/ITG, Sound Voltex, and jubeat.


WikiLeaks<EMAIL_ADDRESS>leaked emails, 2009 mail archive
This message is part of a particular mailbox provided at WikiLeaks
and it should be discussed here.
[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]
This is all I have brother
- To: "PA Leader"<EMAIL_ADDRESS>- Subject: This is all I have brother
- From: "Laslo Patterson"<EMAIL_ADDRESS>- Date: Wed, 9 May 2007 10:00:16 -0600
- Dkim-signature: a=rsa-sha1; c=relaxed/relaxed; d=gmail.com; s=beta; h=domainkey-signature:received:received:message-id:date:from:to:subject:mime-version:content-type; b=Kmc/Qppkh1PJ0dmruWVG+rwmhfrffzYa2aBBbVKfcYWxoWZ9GdfQyWutiZ76Bv5NoXPl5dDNcQbJ86bkzLL6qJh4lIYXcJ5mrUpROBRIXNL3DWmQGYiHrfQwS00BPtZPUtVzvPm+lWlad9kfV1B8TypnR2dSF1u++Cp+cxPZQ7M=
- Domainkey-signature: a=rsa-sha1; c=nofws; d=gmail.com; s=beta; h=received:message-id:date:from:to:subject:mime-version:content-type; b=cOV+UnKrVvogY26tnoPTlIWPI3ZPPfZ67MN648EEUzUuG078CREhMv22yF+6PlBmhbJPDzuEL0TSFrco+QnyS4xxYtPSgAxSEBf4UcHRzD9J+VUoxZIpiQt/dw5aIlWl0En40yQkRnCSaDKkS9LY2rEEgMzh7j7DwEPfEyzTR94=
Rich,
I hope this helps you man. I just wish you could see the same picture jonathan and i are seeing. Anyway, Good Luck Brother.
Yahweh bless,
Laslo Patterson
United Church of YHWH
Russel Taylor
1125 Porter Street Apt.C
Vallejo, CA 94590
Joe Meighy
15 High Street Apt. 4
Winchester, NH 03470
John Bailey (Can get goods for ya)
PO Box 302
Dutton, AL 35744
Gerald O'Brien
PO Box 2016
Coeur D'Alene, ID 83816
Lance Cox
Don't have Wisconsin Addy
Mac Waters
7204 Mineral Springs Road
Dalton, GA 30720
William Manis
PO Box 11
Overpeck, OH 45055
Venus Cason
18113 Vip John Road
Ruther Glen, VA 22546
Joseph DeMarinis
737 Jordanoll Drive
Ripon, CA 95366
Stanley Campbell
PO Box 56
Hitchins, KY 41146
Gary Collins
1513 Broadway
Haverhill, MA 01832
Cory Praxler
13625 State Road
Nunica, MI 49448
Robert Niccoletti
497 E. Main Street
Youngsville, PA 16371
Cole Wood
PO Box 1204
Salem, MO 65560
Eric Armour
1218 Hwy 44 West #100
Shepherdsville, KY 40165
Jody Mathis
510 North 69 Terrace
Hollywood, FL 33024
Sonny Sloan
1321 East Market
Smithfield, NC 27557
Florence Miller
1905 22 Road
Astoria, NY 11105
John Gerhardt
PO Box 713
Johnstown, OH 43031
Paul Bartron
618 South M Street
Tacoma, WA 98405
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1101 Brown Street
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PO Box 986
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PO Box 91130
Santa Barbara, CA 93190-1130
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7744 Peters Road #169
Plantation, FL 33324
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PO Box 248
Lodi, OH 44254
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PO Box 2024
Russellville, AR 72811
Rick Spring
PO Box 135
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Christian Guard (Paul Swafford)
8703 Pine Ridge Road
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Tom Roberts<PHONE_NUMBER>)cell
159 Reynolds Bridge Road
Kingston, GA 30145
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6545 Roebels Park Road
Mercer, WI 54547
George Lang
20 South Logan Street Apt. 8
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Matt Watson<PHONE_NUMBER>)<PHONE_NUMBER>)cell
1382 Timberline Loop
Savannah, TN 38372
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4862 NC HWY 134
Ashboro, NC 27205
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18 Shearer Street
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Python Like A Pro: How To Deploy Python Application Into Production
Ben Wilcock
In this guide, you’ll learn how to get a Python application into production in seconds.
Production is super important. It’s where your users meet your code and where you get recognition for all the hard work you’ve put in. Production is where your company competes, and where it gets rewarded for all the risks it’s taken — large and small.
Getting code into production quickly and regularly is life changing for developers like yourself. It opens the door to true agility — a huge win for you, your team, and your company. But if the path to production is littered with roadblocks, getting your applications out there will be tiring and time consuming.
That’s where Cloud Foundry comes in.
What Is Cloud Foundry?
Cloud Foundry is an open-source platform that simplifies the lives of developers. Cloud Foundry’s ‘Application Runtime’ takes your application code — written in Python or a number of other languages or frameworks — and runs it on any cloud, including Azure, AWS, GCP, Kubernetes, or even vSphere VMs.
A unique feature of Cloud Foundry is its smooth developer experience. Using a single command you can have your code running in a safe, secure, and stable environment in seconds. Once running, Cloud Foundry takes care of everything else including log streaming, health monitoring, scaling, networking, load-balancing, and makes everyday chores like starting and stopping applications a breeze.
Before You Begin
There are a few things you need to do before getting started with Cloud Foundry:
-
Install the Cloud Foundry CLI tool on your computer. This is the tool you will use to interact with Cloud Foundry. You can check that the tool is working by issuing the command
cf help
. -
Decide which Cloud Foundry you’re going to use and obtain it’s endpoint URL. If you don’t have a Cloud Foundry to work with, consider installing Cloud Foundry locally onto Kubernetes on your computer by following the steps in this guide
Note: Cloud Foundry goes by many names. There are many ‘certified distributions’ that offer Cloud Foundry as a commercial product. The VMware Tanzu Application Service is one example. It is certified to meet the Cloud Foundry open-source standard and is fully compatible with the cf CLI tool.
Get The Sample Python Application
Download the sample Python application from Github and make the sample application’s folder your current working directory as follows:
> git clone https://github.com/benwilcock/buildpacks-python-demo.git
> cd buildpacks-python-demo
In the folder you will notice three text files, web.py
, requirements.txt
, and Procfile
. If you already know what each of these files is for, you can skip ahead to the next section. If you want to know more about them, read on.
The file web.py
contains a hello-world web application written in Python3
using the Flask
and MarkupSafe
libraries.
from flask import Flask
from markupsafe import escape
app = Flask(__name__)
@app.route('/')
def hello_world():
return 'Hello, World!'
@app.route('/hello/<username>')
def hello_user(username):
# say hello to that user
return 'Hello %s' % escape(username)
The file requirements.txt
clarifies which libraries your application is dependent on, and their versions. Pip can generate the contents of this file for you using the command pip freeze
.
click==7.1.2
Flask==1.1.2
itsdangerous==1.1.0
Jinja2==2.11.2
MarkupSafe==1.1.1
Werkzeug==1.0.1
The Procfile
specifies the command-line used to execute the application at runtime. In this case the Procfile declares that the web.py
file contains your FLASK_APP
, calls flask run
, and binds the web-server to the --host
with the IP address <IP_ADDRESS>
. It is expected that the --port
to bind the application to will be set as an environment variable using the name $PORT
.
web: FLASK_APP=web.py python3 -m flask run --host=<IP_ADDRESS> --port=$PORT
Cloud Foundry’s buildpack system uses these files to determine that your application is a Python application. Follow the steps below to run this application in Cloud Foundry.
Login To Cloud Foundry
You can login to your Cloud Foundry application service using the cf login
command as follows:
> cf login -a <your-api-url>
The cf
tool will then prompt you for your credentials and ask you to select an ‘org’ and a ‘space’. For example:
> cf login -a CF_API_ENDPOINT_URL
API endpoint: CF_API_ENDPOINT_URL
Email: <enter-your-email>
Password: <enter-your-password>
Select an org:
1. tanzu-devrel
<enter-selected-org-number>
Select a space:
1. development
2. production
<enter-selected-space-number>
If you’re using your employers Cloud Foundry, the login process may be different. For example, you may have single sign on (SSO) rather than a username and password and you may be restricted in terms of which orgs and spaces are available to you.
‘Org and space’ are simply Cloud Foundry terms for application partitioning. Depending on how your cloud foundry was set up, you may see very different names and options. Cloud Foundry doesn’t attach any special meaning to these names. Production could just as easily be called ‘bob’ if that makes sense in your organization. Ask your platform team for advice on which space to use.
Don’t really push apps to production unless it’s definitely safe for you to do so!
If at any point you need to remind yourself which API url, org, or space you are currently using, you can use the cf target
command like this:
> cf target
api endpoint: CF_API_ENDPOINT_URL
api version: 2.151.0
user: <your-email>
org: tanzu-devrel
space: production
If at any time you need help with a specific command such as cf login
simply ask for context specific help using the --help
option as shown below:
> cf login --help
NAME:
login - Log user in
USAGE:
cf login [-a API_URL] [-u USERNAME] [-p PASSWORD] [-o ORG] [-s SPACE] [--sso | --sso-passcode PASSCODE] [--origin ORIGIN]
Run Your Python Application In The ‘Production’ Space
The cf target
command above confirmed that the production
space is the current target for your applications. Any space is fine, it doesn’t have to be production, the process is the same.
The command you use to run your application on Cloud Foundry is cf push
. You must give the application a name when you push it. In the example below the name python-demo
has been used:
> cf push python-demo --random-route
Pushing app python-demo to org tanzu-devrel / space production as <your-email>
You don’t have to use
--random-route
either, it just prevents clashes when an app exists with the same name elsewhere on your Cloud Foundry instance.
The cf push
command uses a technology called ‘buildpacks’ to put your Python application into a Docker container before running it. The process takes no more than a minute or two on average.
When the application has started, Cloud Foundry will alert you and give you the route (URL) that has been assigned to the application.
Waiting for app to start...
name: python-demo
requested state: started
routes: python-demo-lean-quokka-sc.cfapps.io
last uploaded: Tue 28 Jul 16:32:38 BST 2020
stack: cflinuxfs3
buildpacks: python
type: web
instances: 1/1
memory usage: 1024M
start command: FLASK_APP=web.py python3 -m flask run --host=<IP_ADDRESS> --port=$PORT
state since cpu memory disk details
0 running 2020-07-28T15:32:55Z 0.0% 4.3M of 1G 214.6M of 1G
In this case, the route assigned to this application by Cloud Foundry is python-demo-lean-quokka-sc.cfapps.io
. Your application’s route will be different. You will use the route you have been given to test that you can communicate with the application.
Test Your Python Application Is Running
To test the application is running, issue a HTTP GET request to the route Cloud Foundry gave to you when you used the cf push
command in the previous step.
> http python-demo-lean-quokka-sc.cfapps.io
The application will respond with the legend ‘Hello, World!’ like so:
HTTP/1.1 200 OK
Connection: keep-alive
Content-Length: 13
Content-Type: text/html; charset=utf-8
Date: Tue, 28 Jul 2020 15:37:41 GMT
Server: Werkzeug/1.0.1 Python/3.8.3
X-Vcap-Request-Id: 7b49d6ff-30d3-46c1-75d8-0bb75275b75d
Hello, World!
The test above uses the HTTPie tool, but you could also use curl
or a regular web browser. It’s up to you.
There’s More
Here’s a few more commonly used cf
commands for you. Don’t forget, you can use cf help
to get a full list of all the available commands at any time, and cf <command> --help
will give you detailed information on each of them.
Listing Your Applications
You can see a list of all the applications you have running in your current space at any time using the cf apps
command.
> cf apps
Getting apps in org tanzu-devrel / space production as <your-email>...
OK
name requested state instances memory disk urls
python-demo started 1/1 1G 1G python-demo-lean-quokka-sc.cfapps.io
Getting Detailed Application Status
You can get fine-grained application status using the cf app
command.
> cf app python-demo
Showing health and status for app python-demo in org tanzu-devrel / space production as <your-email>...
name: python-demo
requested state: started
routes: python-demo-lean-quokka-sc.cfapps.io
last uploaded: Tue 28 Jul 16:32:38 BST 2020
stack: cflinuxfs3
buildpacks: python
type: web
instances: 1/1
memory usage: 1024M
state since cpu memory disk details
0 running 2020-07-28T15:32:55Z 0.5% 30.8M of 1G 214.6M of 1G
Tailing An Applications Log
You can view the log stream for your application in realtime with the cf logs
command.
> cf logs python-demo
Retrieving logs for app python-demo in org tanzu-devrel / space production as <your-email>...
...
You can get recent logs (rather than a tail of the log) using the --recent
option.
Deleting (Removing) An Application
You can remove and delete your application from Cloud Foundry at any time using the cf delete
command.
> cf delete python-demo
Really delete the app python-demo?> y
Deleting app python-demo in org tanzu-devrel / space production as <your-email>...
OK
Keep Learning
Most Cloud Foundry installations include a Python Buildpack. But did you know that you can use buildpacks without using Cloud Foundry? Buildpacks are a fabulous, sustainable, stress-free way to get code into Docker containers. To find out how to use them in your Python tool chain take a look at our Python buildpack guide.
Did you know that can push Docker images directly to Cloud Foundry? You use the same cf push
command but add the --docker-image
option. Take a look at the help for the push command for more information or read the docs here.
Did you know that you can run Cloud Foundry directly on top of Kubernetes? That means you can get the same smooth cf push
experience on your Kubernetes cluster. Just think, less YAML, less kubectl
, less stress! You can get started with our CF for K8s guide.
If you liked this guide, you might find these others in our ‘Python Like A Pro’ series useful:
- Install Python Like A Pro!
- Managing Python Project Dependencies Like A Pro!
- Managing Python Global Packages Like A Pro
- Build Python Docker Containers Like A Pro!
And if you’d prefer to see Cloud Foundry in action without actually following the steps above, check out our video guide:


Darren Atkin, 40, has used illegal substances since the age of 13 and ‘preyed’ on his mum’s ‘generosity and unconditional motherly love’, a court heard.
The defendant was made subject to a restraining order in August 2017 that prohibited him from contacting her or going to her home in Waterfoot, Rossendale.
Prosecutor Stephen Parker told Preston Crown Court that Atkin breached the restraining order six times between September 30 and October 16 this year, LancsLive reports.
Atkin also has eight previous convictions on his record for breaching orders against his mother since 2016, the court was told.
In a statement to police, his mum said: "My son Darren has been terrorising and harassing me for years, always wanting money for drugs.
"I have had restraining orders against him for years which he just continually breaks and seems to mean nothing to him. It’s hard for me at the end of the day because he’s my son.
"I do feel guilty but he isn’t going to stop coming asking me for money.
"I’m unwell through the stress of it and can’t keep living like this."
Read more of today's top stories
Mr Parker said Atkin came to her home asking for money at 11am on September 30 before returning again on October 5, 12, 14, 15 and 16.
When the defendant was arrested he told officers he was ‘in a bad place, homeless and his mother was the only person he can go to’.

He told the court: “In terms of mitigation there’s very little other than his guilty plea. All the breaches are almost identical. He does appear to have some insight into the devastating impact he is having on his mother’s condition. He does have a great deal of self-loathing, disgust and remorse.
“He is attending his mother’s address when he is addicted to drugs.
“He approaches his mother knowing that through unconditional love she will provide money for him.
Greater Manchester court cases
We have a dedicated Facebook group covering court cases across Greater Manchester.
For all the latest trial coverage and sentencing join the group here.
To download our app to get all the latest news visit here.
“He accepts he has placed her in a precarious position because she loves him. That’s a double-edged sword and is causing her a great deal of stress and anxiety.
“Drugs have taken a great deal from him. They have taken the relationship with his mother and they have taken his health. Doctors have told him that if he keeps using drugs he will die in the near future.”
The court heard that Atkin was released from prison in June 2019 and was initially supported by a recovery programme in Chorley, taking regular drugs tests and engaging with the probation service.
However he then ‘relapsed’ into drugs misuse after meeting an ‘old friend’ in Rossendale.
Mr Howard said Atkin is ‘extremely frustrated and disappointed with himself’ adding: “He knows the court has been extremely lenient in the past and given him chance after chance.”
Atkin, of no fixed abode, pleaded guilty to breaching a restraining order.
He was jailed for 16 months and given an indefinite restraining order.


The right time: 7 PM, enough time afterwards to reflect, but not dwell in case things went wrong
The right place: My friend's parents were gone for the week, and she graciously gave me her bedroom
The right stomach contents: As a precaution, I had fasted for approximately 36 hours
The right mindset: Pleasant and carefree on a gorgeous summer Saturday
All the factors were all in alignment yesterday. It was finally time to try the estranged, distant cousin of the tryptamine Entheogens I'm familiar with: Salvia. It was profound to say the least. The 'different nature' of the diterpene experience that I had heard so much about definitely revealed itself quickly, albeit in a way that was quickly disarmed by the presence of my expectations alone. Once I could point out the strange qualities to myself, they were recognized for what they were.
In a dark, quiet room, guarded by a trusted sitter, I took about 3 bong hits of the regular leaf (I say 'about' because it was hard to tell if the minty-smooth smoke went deep enough or not on all attempts) and entered what I assume to be a strong 'Level 4 (Visionary)' experience on Daniel Siebert's scale.
Once the lights were out and the lighter safely extinguished, I lay down on the bed and noted a powerful room-spinning effect, not unlike the one brought on by large amounts of alcohol, but without any signs of nausea. Again, It was at this point that I was glad I had taken the time to read up about Salvia first because if I had gone into this stage expecting it to be 'just like mushrooms,' I would have been terrified by the outright destruction of such a belief that would have occurred in that instant. In short, the 'coming up' wasn't unpleasant at all, but on the other hand, it wasn't pleasant in the way Cubensis mushrooms are either.
Whereas tryptamines give me the feeling of someone holding my hand, lifting me up to a peak, Salvia seems to put me into the cockpit and lets me make sense of the controls that it lays out in front of me. I need to keep it steady without riding the brake too hard.
The first thing that went out the window was my sense of time. Right from the outset of the trip, I became completely open to the possibility that time, while still linear, could have been moving in either direction along its 'arrow.' This notion entered my mind completely free of the doubt that would usually accompany an insight as playful as this one. It felt like an accepted fact injected into a part of my brain far behind the logical frontlines that would have potentially stopped it dead in its tracks.
The next thing to go was body-consciousness, but not completely, much like the way a linear sense of time still persisted. My thought process was still intact (though often overwhelmed), but only in the traditional 'single floating point of consciousness' way. I experienced changes in the general feel or 'shape' of the Salvia space I was in that were no doubt caused by body movements (e.g. readjusting my arms) but only a small part of me knew that. It felt like there was a lone voice lost in a congress of other voices in my mind that all seemed to have the causal chain reversed. I was 99% convinced that the universe was, indeed, bending where I felt it bending, and any attempts to explain it as body movements were a pseudo-rationalization forged from an obsolete viewpoint. I guess that 'lone Senator' was the Strom Thurmond of my brain.
The place I was in had a definite, distinct layout to it which, again, was in contrast to my mushroom experiences that often take me more to an 'emotional space' that can't be fully grasped visually. It was a dazzling, intricate web of loops and rings that were all interconnected in some way at the core of the chaos. They shimmered in a shade of purple that seemed familiar at the time, but just looking at it then was enough to tell me that I would not be able to take any memory of it back to 'Earth.' Sure enough, here I am now, unable to find a mental image, a crayon, or an HTML palette number that produces it in all its glory.
If you want to picture it, this superhighway of strings can be likened to a Velcro strip being viewed under an electron microscope: tangled, but coherent enough to have been purposefully created. The strangest thing about it though was the vaguely humanoid shapes that seemed to make up each strand. It looked like millions of purple ghosts lined up head-to-foot-to-head-to-foot, dancing passionately without breaking their connection to each other. It slowly dawned on me that I was looking at “The Essence” itself. The source of life that we orbit as blessed satellites.
One entity was different. It moved around as if it were able to navigate the spaces between strings like I was. It glowed with a deep, pulsing green and gave off a sort of yellow vapor trail. Whether this was a result of pre-programming or not, I immediately thought of The Green Goddess. I followed Her through layer after of these “soul parties” with an anticipation that built to the point where I was too excited to keep pace with Her. Each time this happened, She slowed up and gave me a chance to shorten the distance between us, but it never got small enough to grant me a look at Her. At one point, I thought I was finally closing in, but She had already disappeared into a transparent, yellow cloud that hung around me for a few seconds of playful defiance.
But this was not merely a tease. She had lead me somewhere.
The fibrous Essence was behind me, and I was now floating on what seemed like its outer surface. Imagine a rippling sheet of hyper-purple water that gave off vibrational hum that nonchalantly held encoded secrets of the Universe as if they were memorized telephone numbers. I stared at it in awe and reverence, and it acknowledged me in a peaceful, yet emotionally detached way. A cosmic nod in my direction, if you will.
Farther across the oceanic outer limits, I noticed two-dimensional beams of light coming from the blackness opposite the Essence and plunging into it. Each one created a ripple that resulted in the watery surface giving off a pleased grumble. In each one of these lights, I saw mundane, earthly things, like bedrooms or trees, and it didn't take long to realize that these were other people! Tripping, meditating, etc.! They served the Essence by giving it connections to the Earthly realm by transcending the boundaries of where Infinity _meets_ the quantifiable! There is some kind of interface, as mathematically illogical as that sounds. I scribbled on my hand (yes, I had hands again by this point) 'The Essence defines the boundaries of Infinity' and began to draw a graph explaining this. I wish I done a more complete job of that. Imagine what that might have looked like!
These lights were all coming from different points in history, but none of that mattered once this boundary was transcended. A connection was a connection to stay in the 'eyes' of the timeless Essence. The final insight that I was able to extract from the experience as I began to come down was that the Essence would one day reach a critical mass of connections to the Earth that would allow all life to enter into a fuller merger with the source that initially sparked it. Each peaceful contact we have with it is a step towards something more complete that we as individuals can only look forward to.
All in all, it was a beautiful chain of logic to encounter. As fanciful as it sounds, I feel that it's absolutely rich in mythic value. I didn't need my sitter at all this first time, but I can definitely see how someone who had gone perhaps a half-step further than I had would need someone to guide his/her actions. Those 'hand adjustments' I mentioned above were damn near automatic.
If used responsibly, though, Salvia offers me more of an 'explorative' pathway through Inner Spaces that seems to have no set course. There's no 'hand-holding,' for lack of a better metaphor, like there usually is in a tryptamine state. There is still teaching being done, however, as evidenced by the green entity I was chasing. It's just more of a detached, 'hands-off,' college professor kind of approach to teaching.
This is just one first-timer's impression.
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.


jQuery.confirmForm QUnit Tests
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Installation: Initial setup¶
NOTE: If installing CoG through the ESGF Installer, all these steps will be executed automatically. If not using the ESGF Installer, please read on.
Step 1: Create the main CoG directory¶
This will be the parent directory under which all CoG-related software (Python, CoG installation, CoG configuration) will be installed.
For example, use = /usr/local/cog
But the directory can be located anywhere on the system if needed (e.g. you don’t have write permissions to /usr/local/cog).
The user executing the installation must have write permissions to this directory.
mkdir <COG_DIR>
Step 2: Create a CoG configuration directory¶
This will create a directory to hold the node-specific configuration file and external media sub-directories.
The default location for = /usr/local/cog/cog_config
Preferably, this directory should be located under
But the directory can be located anywhere on the system if needed.
The user executing the installation must have write permissions to this directory.
mkdir <COG_CONFIG_DIR>r
Step 3: Create a CoG installation directory¶
This is where the source code will be located.
Preferably, this directory should be located under
For example, use = /usr/local/cog/cog_install
mkdir <COG_INSTALL_DIR>
Step 4: Ensure all environment variables are set¶
How environment variables are set varies from shell to shell. Below is the example for Bash. These commands would be placed in the ~/.bash_profile or ~/.bashrc files. For example:
export COG_DIR=/usr/local/cog
export COG_CONFIG_DIR=$COG_DIR/cog_config
export COG_INSTALL_DIR=$COG_DIR/cog_install
Step 5: Set up a Python virtual environment¶
This will be the location for the CoG specific Python libraries and related dependencies.
cd virtualenv venv
This will create the sub-directory venv under with:
copy of python executable in <COG_DIR>/venv/bin/python
location for installation of additional needed packages in <COG_DIR>/venv/lib/python2.7/site-packages
Note, if you have multiple installations of python installed, you can specify which python to use through the -p option. By default, virtualenv will use the python used to install virtualenv.
cd <COG_DIR>
virtualenv -p /usr/bin/python venv
Results:¶
After these steps, the directory structure will look like:
/usr/local/cog
/cog_config
/cog_install
/venv


Enter budget:
Bargain price of {{rejectedbargainprice}} declined
Offered price {{acceptablebargainprice}}


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# File lib/machines/sequences/stack_sequence.rb, line 10 10: def initialize(name = nil, options = {}) 11: @name = name 12: @up = Sequence.new nil, options 13: @down = Sequence.new nil, :reverse => true 14: @up.default_next_step = @down 15: @down.at_end { continue! } 16: yield self if block_given? 17: end
# File lib/machines/sequences/stack_sequence.rb, line 35 35: def down_step(s) 36: ns = s || Step.new 37: @down.step ns do 38: yield ns if block_given? 39: end 40: end
# File lib/machines/sequences/stack_sequence.rb, line 46 46: def down_wait(time) 47: @down.wait time 48: end
# File lib/machines/sequences/stack_sequence.rb, line 50 50: def finished? 51: @up.finished? && @down.finished? 52: end
# File lib/machines/sequences/stack_sequence.rb, line 58 58: def perform_reset 59: @up.reset! 60: @down.reset! 61: end
# File lib/machines/sequences/stack_sequence.rb, line 54 54: def perform_start 55: @up.start! 56: end
# File lib/machines/sequences/stack_sequence.rb, line 19 19: def step(s) 20: if s.respond_to?(:up_step) && s.respond_to?(:down_step) 21: up_step s.up_step 22: down_step s.down_step 23: else 24: up_step to_step(s) 25: end 26: end
Disabled; run with --debug to generate this.
Generated with the Darkfish Rdoc Generator 1.1.6.


Two steps need to be done for this to work
In the project root
npm install
In this folder
../../node_modules/.bin/browserify main.js -o bundle.js


<EMAIL_ADDRESS>CA Department of Social Services, Community Care Licensing
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Family Child Care Home- Small East Roseville, CA
8 Children
6 Children
Exceptional 1:6 teacher/child ratio
Weekdays, 24 hours/day
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Registration: $50
Before/after school: $8/hour
School holiday: $5/hour
Multi-child discount given


The Z-transform of a sequence $x[n]$ is defined by the formula $$X(z) =\sum_{n=0}^{\infty}x[n]z^{-n}.$$
Consider the following:
$$\begin{matrix}x[n] & = & 3 \left ( \frac{1}{2}\right )^{n}+2\left (-\frac{1}{3}\right )^{n}+6\delta[n] \\ & = & \begin{cases} 11, & n=0\\ 3 \left ( \frac{1}{2}\right )^{n}+2\left (-\frac{1}{3}\right )^{n}, & n>0\end{cases}\end{matrix}$$we therefore can conclude that $$X(z) = \frac{11-z^{-1}-z^{-2}}{1-\frac{1}{6}z^{-1}-\frac{1}{6}z^{-2}} =\frac{3}{1-\frac{1}{2}z^{-1}} + \frac{2}{1+\frac{1}{3}z^{-1}}+6$$
A short table of $Z$ Transform Pairs is shown below.
| $$x[n]$$ | $$X(z)$$ |
| $$\delta[n] = \begin{cases}1, & n = 0, \\ 0 & n \ne 0\end{cases}$$ | $$1$$ |
| $$u[n-N]= \begin{cases}1, & n \ge N \ge 0, \\ 0, & n < 0\end{cases}$$ | $$\frac{z^{-N}}{1-z^{-1}}$$ |
| $$a^n$$ | $$\frac{1}{1-az^{-1}}$$ |
| $$n$$ | $$\frac{z^{-1}}{(1-z^{-1})^2}$$ |
| $$na^n$$ | $$\frac{az^{-1}}{(1-az^{-1})^2}$$ |
| $$a^n \cos n \theta$$ | $$\frac{1-a \cos\theta z^{-1}}{1-2a \cos\theta z^{-1}+a^2 z^{-2}}$$ |
| $$a^n \sin n \theta$$ | $$\frac{a \sin\theta z^{-1}}{1-2a \cos\theta z^{-1}+a^2 z^{-2}}$$ |
A short table of $Z$ Transform Properties is shown below.
| $$\text{Property}$$ | $$x[n]$$ | $$X(z)$$ |
| $$\text{Linearity}$$ | $$ax[n] + by[n]$$ | $$aX(z)+bY(z)$$ |
| $$\text{Forward Shift}$$ | $$x[n+1]$$ | $$z \left ( X(z) - x[0] \right )$$ |
| $$\text{Delay}$$ | $$x[n-N]u(n-N])$$ | $$z^{-n}X(z), N \ge 0$$ |
| $$\text{Multiplication by n}$$ | $$nx[n]$$ | $$-z \left( \frac{dX(z)}{dz} \right )$$ |
The Fibonacci Sequence is defined as $f[n] = {0, 1, 1, 2, 3, 5, 8, ...}$. Each element of the sequence is the sum of the preceding two elements. Using standard signal processing notation, the Fibonacci Sequence can be charactertized by the following recusive difference equation:
$$f[n+2]=f[n+1]+f[n],\text{where}f[0]=0\text{ and }f[1]=1.$$
The sequence appears surprisingly often in higher mathematics - and in nature. The following naturally occurring things are related to the Fibonacci Sequence:
A curious characteristic of this sequence is that it appears so regularly in the sciences, and in artforms.
Of particular interest to the author is the relationship of this sequence to the so-called Fibonacci Spiral. In photography, subject placement is generally considered to be most pleasing if the subject is centered as shown in the figure.
Using the Z-Transform and its Forward Shift Property, it is possible to derive a closed-form expression for the Fibonacci Sequence: $$f[n] = \frac{\varphi^n-(-\varphi)^{-n}}{2\varphi -1}\text{ where }\varphi=\frac{1+\sqrt{5}}{2}$$
It is remarkable that the Fibonacci Sequence, made up entirely of integers, is a fuction of $\sqrt{5}$, which - like $\pi$ - is an irrational number. This sequence clearly, and eloquently, combines art and the sciences.
For more information on the Fibonacci Sequence, see Wikipedia.


Telling Stories with Data Visualizations
Alison Blaine
NCSU Libraries
<EMAIL_ADDRESS>Who I am
- librarian
- teach workshops on data viz
- D.H. Hill Library
- I <3 consultations
-
photo by Thegreenj
Goals
- help you get better grades, land a great job, and have a happy life
- teach you how to make better data visualizations
- that's it
Today's Talk:
How to tell a story with your data visualization
(OK. So what types of stories are there?)
Story types
see handout!
- the most interesting point story. (don't eat red #3)
- the correlation story - how 2 things relate (diapers/beer)
- the comparison story (noise level inside sports arenas)
- the change over time story (E-cigarette use among teens since 2011)
- the human interest/real life connection story
Activity
- Summarize the main story of each chart.
- Identify the type of story being told.
- What improvements are needed to better communicate the story?
Discuss with your neighbors in small groups
Graph should stand alone
& not require reading the fine print/text of a document
Annotation makes it better
Highlight what is important
Source: Bloomberg
Finding the Story in Your Data
Speed Data-ing
Find a story to tell about this data
Visualizing Your Data Story
Mediocre at Best
Can we do better than this??
Source
Open millenialjobs.xls in Tableau
Add title and reference line
Create a dashboard to add annotation & highlighting
Label reference line and add other annotations
Move legend and save to Tableau Public
Remember 5 things:
- Annotate your charts to communicate what you want people to know
- Highlight what is important -- color can help with this
- Label information close to the data points
- Use titles to help tell the story
- Your graph should stand alone


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Reports array.size
and string.size
calls.
While such calls are legitimate, they require an additional implicit conversion to SeqLike
.
Calling length
on arrays and strings may provide significant advantages.
Example:
Array(1, 2, 3, 4).size
"this is a string".size
After the quick-fix is applied:
Array(1, 2, 3, 4).length
"this is a string".length


Identiy, Values, and Strengths
About ME
20 November 2010
A ethical decision
Somewhat of an unfortunate situation recently, we had a flatmate that just stopped paying his rent to us. Talking to him, he had actually lost his job, which was really unfortunate. I could have kicked him out at that point, but I really wanted to work with him. I tried to help him apply for JobSeekers, which I didn't have to do but I didn't want to have to just kick him out.
Our whole flat helped kick in and pay his rent in the meantime as well. Unfortunately it got to the point where we had to give him notice to leave. As much as I didn't want to have to have him leave, at that point he wasn't accepting our help (aside from the rent!) and it wasn't fair to my other flatmates to ask them to continue to subsidize him living there.
It's kind of a weird ethical thing, and not really something that sounds flattering in a blog, because asking someone to leave potentially putting them on the street is bad, but it was the case that we did quite a bit that we wouldn't have done if we weren't willing to work with him. At the end I had an ethical obligation to the rest of my flatmates to get someone else in the flat so we all weren't subsidizing someone who wasn't accepting help.
It still kinda feels sucky but I do know he was able to live with family and hopefully is able to get the help he needs that we weren't able to provide.
How culture has influenced my values + identity
Talking about my culture is interesting, because it's not really a static thing considering how I moved around when I was younger. I moved from the USA to Singapore when I was very young, and I lived as an expat there with my family. That was always temporary, but I really got to live around and get along with people of many different cultures. I consider what I'm seeing from family and friends back home in the states, and it really does seem grim the way it can be incredibly insular and that they seem to reject diversity.
Moving to New Zealand also meant that I was adopting a new culture. That came with a certain amount of culture shock, because there was no longer an expat community here - I really did have to join New Zealand culture. Some of that is Awesome, but I'm also able to have a slightly outsider viewpoint considering I adopted New Zealand culture instead of being moulded by it from the beginning.
I think at this point I'm glad to be able to exist in and navigate New Zealand culture, but I also appreciate a certainelement of American culture that I retain that allows me to be really honest and take ownership. I've foundrecently that some of these elements were really appreciated at a place where I volunteer and run a small team of other volunteers there. It turns out that there's not many people who are able to just take total ownership of an area, but I feel like it really comes quite naturally to me.
Strengths and liminations.
I really like strenghts finders because it doesn't box people in, and it focuses mainly on the positives. My top 5 strengths are Ideation, Positivity, Woo, Developer, and Empathy. Three of these strenghts are about relationship building, with a strength each for strategic thinking (Ideation), and Influencing (Woo)
I'm actually stoked with this set of strengths. I feel like it really fits me and fits my personality. I've said before that one of my biggest goals in life is to help people find their fit, and I totally think that comes through
Noticably absent from anywhere near the top is execution strengths, and my top one of those is belief. This hits pretty hard, and I could see some issue with my Ideation and Positivity overscoping to an insane degree. Managing this is going to be essential while working with other people in the course and in the world.
This has lots of examples in the business that I was involved in, as we in general had issues with exeucting on a million, probably very good, ideas. Unfortunately we didn't have great ways to deal with these disagreements, and we're not operating again. But if I was going to do that whole thing again, I would make sure there was some very good structure for us, and me, to follow.


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«table» adjustment_types Table «FK» |
Name: adjustment_type_versions_adjustment_type_id_... |
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| Tag | Value |
| Owner | public |
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| Property | Value |
| isFinalSpecialization: | 0 |


Quotes
One can tell a lot about a society by the way it raises its young and buries its dead.
Do Kwon
If you start a war, you don’t get to choose how it ends.
Shashank Joshi


THE YARDS RATING: 6.5/10 --> So-so
For more reviews, screensavers, trailers & more, visit http://www.joblo.com/
Much has been made about this film and its well-rounded cast. Here you have some of the older school's finer wines including James Caan, Ellen Burstyn and Faye Dunaway, mixed in with some of the new generation's younger punks including Mark Wahlberg, Charlize Theron and Joaquin Phoenix. A diverse cast to say the least. Add writer/director James Gray to the top of the totem pole, a man who waited six years after his directorial debut of LITTLE ODESSA to create this film, and you've got an interesting melange of cinematic experiences. Now let's see how this mixture tastes...
PLOT: Having taken one for the team, Leo returns home after spending some time in the pen, hopeful to return to the straight and narrow. Working for his uncle, Leo gets trained by his buddy Willie, an expert in the dirty political games prevalent in their industry. But it isn't long before one such shady incident goes terribly awry and it's every man for himself. Of course, Leo is once again left flailing in the wind of suspicion.
CRITIQUE: This is a decent morality tale strapped to a very dark and depressing setting, ultimately salvaged by many top-notch performances. A "gritty urban drama" is probably the best way to describe this damp flick, a film that certainly does present an interesting story, but does so in a manner that just didn't grab me as much as I thought it would. There is very little enthusiasm in this film, it's slow-paced, dreary and pretty gloomy for the most part. In fact, the lead character played adequately by Mark Wahlberg looks like he's going to kill himself in almost every other scene. He's down and out. The film reminded me a lot of Scorsese's breakout 1973 picture MEAN STREETS in many ways. Both pictures take place in the "mean streets" of New York City. Both flicks seem to have an aversion to bright shots. And just as in Scorsese's film, the so-called "dire" circumstances in this story underwhelmed me for the most part. I mean, it just seemed like people were making too much of things that didn't seem to necessitate all that hoopla. Now don't get me wrong, the film does contain real moments of suspense, characters caught in situations in which they have little way out.
But on the whole, I never really felt very close to any of the characters, and telegraphed much of the film's grinding progression. But despite all that, the performances were strong across the board, with Caan and Phoenix grabbing most of the gusto. Burstyn and Dunaway were decent, but had very little to do, while Theron took on yet another look and still managed to punch in a solid performance. But it is Joaquin Phoenix who will likely be the one most remembered for this film. Alternating between the many different facets of his character, Joaquin danced the perfect line and will hopefully be tagged with a nomination of some sort at the end of the year. And despite the many similarities between this film and his directorial debut, James Gray did manage to put an authentic representation of the times on the screen, but not without overstylizing some of the film's more poignant moments (appreciated by others, I found some of his tactics to be distracting). So don't expect any major originality points with this film but do expect to see some great actors doing their thing. And if you enjoy dramas which focus on family, loyalty, redemption and all that fun stuff, this film certainly packs much of that in its mix. Just don't expect to be smacked upside the head by it all. Maybe just a gentle tap...
Review Date: September 5, 2000 Director: James Gray Writers: James Gray and Matt Reeves Producers: Kerry Orent, Paul Webster and Nick Wechsler Actors: Mark Wahlberg as Leo Joaquin Phoenix as Willie Charlize Theron as Erica James Caan as Frank Genre: Crime Year of Release: 2000 ------------------------------------- JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------- (c) 2000 Berge Garabedian
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
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Please direct comments/criticisms of the review to relevant newsgroups.
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Related links: index of all rec.arts.movies.reviews reviews


Start
Clone repository and Open folder in container
, using the vscode Remote Development extension.
Run vscode Tasks using the command palette or the Task Explorer extension.
Configuring
The sso_server
and sso_cli
binaries depend on a configuration file, by default this is read from ./.config/sso.toml
or it can be configured with the --config
command line argument (For example --config .config/sso.example
). An example configuration file can be found at .config/sso.example.toml
.
OAuth2 clients and users can be statically defined in this file, configuration can be generated using the sso_cli
binary. A postgres database connection is required, the example configuration works with the postgres service started by the postgres - up task.
Run the cargo - install task.
To generate a client configuration run the following command, save the client secret key and copy the TOML output into the configuration file.
sso_cli generate client $NAME $REDIRECT_URI
to generate a user configuration run the following command, save the user password and copy the TOML output into the configuration file.
sso_cli generate user $NAME $EMAIL
Developing
Run the following tasks to compile and run tests during development, tests depend on Webdriver Manager.
- postgres - up
- cargo - sso_server
- npm - start client example (express, passport)
- npm - run host tests
To stop and destroy postgres services.
Testing
Run the following tasks to build docker images and run tests for production, tests depend on Webdriver Manager.
To stop and destroy test services.
Commands to run test CI locally can be found in .github/workflows/docker.yml
.
Documenting
Run the following tasks to serve the manual development server or build manual static site.
Client Generation
The crate sso_client
is generated using paperclip, install it in the development container with the following command.
cargo install paperclip --git https://github.com/wafflespeanut/paperclip --features cli
When sso_server
is running, run the following tasks to download a copy of the OpenAPI specification file and generate the client.
fix: File requires manual changes, adding "type": "object"
to audit log data definitions, or paperclip will not generate the expected files. Check against checked out file.
Designing
Client HTML templates change the appearance of the web interface, run the template builder using the npm - run template builder
task.
Template source files are located in the sso_test/template
directory. A build will write output files to the sso_test/tmp/template
directory. Open index.html
in a browser to check the appearance, and add template.html
to the configuration file when complete.
Labels
Some labels are used in comments throughout the code which can be searched for.
todo: ...
: Stuff to work onfix: ...
: Notes on how something has been fixeddepend: ...
: Dependencies that should be upgraded occasionallytest: ...
: Notes related to testing
For example.
# depend: package.json
# run task `npm - update packages`
# depend: Cargo.toml
# run task `cargo - update`
# todo: Update tokio/tokio-postgres/deadpool-postgres/rustls to 0.3/etc. when supported by actix_rt (LocalSet struct changes)
Webdriver Manager
Tests depend on Webdriver Manager, start it outside of the remote development container using the commands.
npm run webdriver-update
npm run webdriver-start
pgAdmin
Available at localhost:8000 when postgres services are running.
- Login with username
guest
and passwordguest
- Select
Add New Server
- General - Name:
postgres
- Connection - Host name/address:
postgres
- Connection - Port:
5432
- Connection - Maintenance database:
postgres
- Connection - Username:
postgres
- Connection - Password:
postgres
- Connection - Save password:
yes
- General - Name:
- Save and select
postgres
from server list
PgHero
Available at localhost:8001 when postgres services are running.


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An operation that requires a Locale
to perform
its task is called locale-sensitive and uses the
Locale
to tailor information for the user. For example,
displaying a number is a locale-sensitive operation; the number
should be formatted according to the customs/conventions of the
user's native country, region, or culture.
Because a Locale
object is just an identifier for a
region, no validity check is performed. If you want to see whether
particular resources are available for the Locale
, use
the XLocale::getAvailableLocales method to ask for the
locales it supports.
Note: When you ask for a resource for a
particular locale, you get the best available match, not necessarily
precisely what you asked for. For more information, see
::com::sun::star::resource::XResourceBundle.
Each implementation that performs locale-sensitive operations
allows you to get all the available objects of that type. Use the
::com::sun::star::resource::XLocale interface to set the locale.


Abstract
In this tutorial we build a strategy combining momentum and mean reversion for the foreign exchange markets from Alina F. Serban's research [ref]Alina F. Serban, Combining mean reversion and momentum trading strategies in foreign exchange markets Online Copy[/ref] which was based on research in the equity market by Ronald J. Balvers and Yangru Wu [ref]Ronald J. Balvers, Yangru Wu, Momentum and mean reversion across national equity markets Online Copy[/ref]. Serban creates a momentum factor using returns of the last 3 months, and a mean reversion factor as a deviation from the mean price. Using these factors we use regression to predict the returns of the coming month. We apply the strategy from Serban's paper and update the mean reversion factor for to improve its significance level.
In theory when trading foreign exchange the expected return accrued in each currency should be the same when adjusted for exchange rates (uncovered interest parity, UIP [ref]Investopedia, Uncovered Interest Rate Parity. Online Copy[/ref]). This suggests the markets should predominately be mean reverting, however in practice we see short term momentum trends and long term mean reversion. This was phenomenon was first noticed by Chiang and Jiang [ref]Chiang, T., Jiang, C., 1995. Foreign exchange returns over short and long horizons. International Review of Economics and Finance 4, 267–282. Online Copy[/ref].
We tested the theory on EURUSD, GBPUSD, USDCAD and USDJPY and re-balanced monthly. The model significance level and coefficients are close to those in paper, but the returns and Sharpe Ratios obtained are not as good as what the paper claimed. The algorithm achieved a fairly stable annual return of 11%, 0.8 Sharpe Ratio and 11% drawdown.
Introduction
The strategy is centered on uncovered interest parity (UIP) theory. UIP states that the change in the exchange rate should incorporate any interest rate differentials between the two currencies. By looking for patterns in the deviation from UIP we can potential generate abnormal returns.
Interest Parity Conditions
UIP states that an investor who borrows money in their home country and lends it in another country with a higher interest rate should expect a zero return due to the changes in exchange rate. In other words:
\[1+r_t = (1+r^{i}_t)(\frac{F^{i}_t}{S^{i}_t})\]
Where \(r_t\) is the domestic interest rate, \(r^{i}\) is the foreign interest rate, \(S^{i}\) is the spot exchange rate and \(F^{i}\) is the forward rate. We can also replace F forward rate with expected spot rate:
\[1+r_t = (1+r^{i}_t)(\frac{E(S^{i}_{t+1})}{S^{i}_t})\]
Taking logs of the above two equations, we obtain:
\[r_t - r^{i}_t = \ln F^{i}_t - \ln S^{i}_t\]
\[r_t - r^{i}_t =\ln S^{i}_{t+1} - \ln S^{i}_t\]
The deviation from UIP is denoted by y and defined as follows:
\[y^{i}_{t+1} =\ln S^{i}_{t+1} -\ln F^{i}_t\]
Model and Parameter Estimation
Fama and French and Summers [ref]Fama, E., 1984. Forward and spot exchange rates. Journal of Monetary Economics Online Copy 14, 319–338.[/ref] constructed a simple model for stock price that is the sum of a random walk and a stationary component - they represent the natural log of the stock price with x. The stationary component represents the temporary swings in stock price (characterized by coefficient \(\delta \)), the parameter \(\mu \) captures the random walk drift component and a coefficient accounts for the momentum effect \(\rho \). Balvers and Wu construct the log of stock prices as:
\[x^{i}_t = (1 - \delta ^{i})\mu ^{i} + \delta ^{i}x^{i}_{t-1} + \sum_{j=1}^{J}\rho ^{i}(x^{i}_{t-1} - x^{i}_{t-j-1}) + \epsilon ^{u}_t\]
Using the equation above Serban adapts it to find abnormal return in the forex market. The \(\delta \) represents the speed of mean reversion and can differ by country, while the \(\rho \) represents the momentum strength and can vary by country and by lag. The parameter \(\mu \) also varies by country. Accounting for these changes:
\[y^{i}_t = -(1 - \delta ^{i})(x^{i}_{t-1} - \mu ^{i}) + \sum_{j=1}^{J}\rho ^{i}(x^{i}_{t-1} - x^{i}_{t-j-1}) + \epsilon ^{u}_t\]
Trading Strategy
The trading strategy from the paper allows \(\mu \) to change by country, while let \(\rho \) and \(\delta \) stay fixed. By applying Ordinary Least Squared(OLS) regression, the model estimates the return y for each currency. We construct the portfolio by taking a long position on the currency with the highest expected return and taking a short position on the currency with the lowest expected return. We hold these positions for one month, and repeat the process each month. There are two exceptions to this strategy: if all expected returns are positive, we take a long position only, and vice versa.
To limit the number of parameters we need to estimate and find a solution easily we only allow \(\mu \) to change by country. According to the paper if we let ρ stay fixed and J =3, we can obtain the highest return for this strategy. If so the equation can be simplified as:
\[y^{i}_t = -(1-\delta )(x^{i}_{t-1} - \mu ^{i}) + \rho (x^{i}_{t-1} - x^{i}_{t-4}) + \epsilon ^{i}_t\]
When applying the above equation, we found that the scale of the mean reversion for each currency are very different, and this difference in scale is large enough to affect the accuracy of our rank. We made an adjustment to standardize the mean-reversion. While calculating \(\mu \) (the mean of the log prices) we also calculated standard deviation σ. In this tutorial we replace \(x-\mu \) with \(\frac{x - \mu}{\sigma } \). This captures the mean reversion factor better than the author's technique.
Data Description
The paper used monthly exchange rate data for the Canadian Dollar/USD, German Mark/Euro, UK Pound/USD and Japanese Yen/USD, from 1978 to 2008. Due to data availability we used Euro/USD instead of German Mark/Euro, and the earliest data available starts from 2004. Each time we launch the strategy we use all of the available historical data prior to the start date to build the OLS model, and uses that model for the entire backtest. The paper used 1/3 of their data as the training dataset and the rest for the test set. We directly test our model on backtesting, because QuantConnect makes this easier.
Method
In order to apply the model, we need to first pull history data to build it. The project can be briefly divided into four parts: the historical data request, model training, prediction and execution.
Step 1: Request Historical Data
The first function takes two arguments: symbol and number of daily data points requested. This function requests historical QuoteBars and builds it into a pandas DataFrame. For more information about pandas DataFrame, please refer to the help documentation DataFrame. The calculate_return function takes a DataFrame as argument to calculate the mean and standard deviation of the log prices, and create new columns for the DataFrame (return, reversal factor and momentum) - it prepares the DataFrame for multiple linear regression.
def get_history(self, symbol, num):
data = {}
dates, price = [],[]
sym = List[Symbol]()
sym.Add(symbol)
history = self.History(sym,num)
for i in map(lambda x: x[symbol],history):
dates.append(i.EndTime)
price.append(np.log(float(i.Close)))
# return a pandas DataFrame contain log price and python datetime
df = pd.DataFrame(price,index = dates, columns = ['price'])
return df
def calculate_return(self, df):
# calculate the mean,which is used as μ
mean = np.mean(df.price)
# cauculate the standard deviation
sd = np.std(df.price)
# pandas method to take the last datapoint of each month.
df = df.resample('BM',how = lambda x: x[-1])
# take the return as depend variable
df['return'] = df.price - df.price.shift(1)
# calculate the reversal factor
df['reversal'] = (df.price.shift(1) - mean)/sd
# calculate the momentum factor
df['mom'] = df.price.shift(1) - df.price.shift(4)
df = df.dropna() #remove nan value
return (df,mean,sd)
Step 2: Build Predictive Model
The concat function requests history and joins the results into a single DataFrame. As \(\mu \) varies by country so we assign the mean and standard deviation to the symbol for each currency for future use. The OLS function takes the resulting DataFrame to conduct an OLS regression. We write it into a function because it's easier to change the formula here if we need.
def concat(self):
# we requested as many daily tradebars as we can
his = self.get_history(self.quoted[0],20*365)
# get the clean DataFrame for linear regression
his = self.calculate_return(his)
# add property to the symbol object for further use.
self.quoted[0].mean = his[1]
self.quoted[0].sd = his[2]
df = his[0]
# repeat the above procedure for each symbols, and concat the dataframes
for i in range(1,len(self.quoted)):
his = self.get_history(self.quoted[i],20*365)
his = self.calculate_return(his)
self.quoted[i].mean = his[1]
self.quoted[i].sd = his[2]
df = pd.concat([df,his[0]])
df = df.sort_index()
# remove outliers that outside the 99.9% confidence interval
df = df[df.apply(lambda x: np.abs(x - x.mean()) / x.std() < 3).all(axis=1)]
return df
def OLS(self,df):
res = sm.ols(formula = 'return ~ reversal + mom',data = df).fit()
return res
Step 3: Apply Predictive Model
The predict function uses the history for the last 3 months, merges it into a DataFrame and then calculates the updated factors. Using these updated factors (together with the model we built) we calculate the expected return.
def predict(self,symbol):
# get current month in string
month = str(self.Time).split(' ')[0][5:7]
# request the data in the last three months
res = self.get_history(symbol, 33*3)
# pandas method to take the last datapoint of each month
res = res.resample('BM',how = lambda x: x[-1])
# remove the data points in the current month
res = res[res.index.month != int(month)]
# calculate the variables
res = self.calculate_input(res, symbol.mean, symbol.sd)
res = res.ix[0]
# take the coefficient. The first one will not be used for sum-product because it's the intercept
params = self.formula.params[1:]
# calculate the expected return
re = sum([a*b for a,b in zip(res[1:],params)]) + self.formula.params[0]
return re
def calculate_input(self, df, mean, sd):
df['reversal'] = (df.price - mean)/sd
df['mom'] = df.price - df.price.shift(3)
df = df.dropna()
return df
There are a few points of note:
- We need historical TradeBars for the last three months. To do this we requested 99 bars and use a pandas DataFrame to extract a data point for the end of each month.
- We use event schedule to execute the strategy at the first trading day, however, sometimes the first day of the month could be on the 2nd if the 1st falls on a weekend. To fix this we remove the data from the current month, leaving only the last 3 months of data.
- We start from the second element of res (res[1:]) because res and params are different lengths. This was hard to detect because Python would not throw error when running [a*b for a,b in zip(res,params)] even if the length of the two lists are different.
- This function also used pandas DataFrame methods extensively. For more information please refer to pandas.
Step 4: Initializing the Model
In the Initialize function we prepare the data and conduct a linear regression. The class property 'self.formula' is the result of the OLS regression. We will use this object each time we rebalance the portfolio.
def Initialize(self):
# prepare the aggregated DataFrame for linear regression
df = self.concat()
self.formula = self.OLS(df)
self.Schedule.On(self.DateRules.MonthStart(), self.TimeRules.At(9,31), Action(self.action))
Step 5: Performing Monthly Rebalancing
Every month we rebalance the portfolio using the Schedule Event helper method. The predicted returns are added to the rank array and then sorted by return. The first element in the list is the best return paired with the associated symbol. When all the expected returns in the rank array are positive we only go long the pair with the highest expected return. When all returns are negative, we only go short the pair with the lowest expected return.
def action(self):
rank = []
long_short = []
for i in self.quoted:
rank.append((i,self.predict(i)))
# rank the symbols by their expected return
rank.sort(key = lambda x: x[1], reverse = True)
# the first element in long_short is the one with the highest expected return with which to go long, and the second one is to be shorted.
long_short.append(rank[0])
long_short.append(rank[-1])
self.Liquidate()
# the product < 0 means the expected return of the first one is positive and that of the second one is negative--we are going to long and short.
if long_short[0][1]*long_short[1][1] < 0: self.SetHoldings(long_short[0][0],1) self.SetHoldings(long_short[1][0],-1) # this means we long only because all of the expected return is positive elif long_short[0][1] > 0 and long_short[1][1] > 0:
self.SetHoldings(long_short[0][0], 1)
# short only
else:
self.SetHoldings(long_short[1][0], -1)
Results
The following regression output is obtained by backtesting the time period from Jun 2013 to Jun 2016. We can see the results are fairly close to those from the source paper with a R-squared value of 3.1% compared to the paper's 3.89%. Our momentum coefficient, ρ, is 0.0344 compared to the paper's 0.042. We obtained 0.9955 mean reversion coefficient (1 - 0.0045), and the paper got 0.9859.
From these results we can say the limited sample size does not impair the feasibility of this model. The t-stats of the coefficients are -4.074 and 1.417 for the reversal factor and momentum factor respectively. The p-value of the reversal factor is very small which means this factor has a very high significance level.
Backtest Sensitivity Results
We performed some rough period sensitivity analysis in different time periods and summarized the results as the following table:
The compound annual returns are quite stable, however, the paper claimed that the average return is 27.5% vs our 11% achieved. This difference can be accounted for by the data time span and currency pairs.
Conclusion
The paper demonstrates there are inefficiencies in the UIP which can be exploited with a hybrid momentum and mean reversion strategy. Although the sample size of the paper is much larger than ours the parameter and significance level of the two models are very close. The strategies we discussed above keep \(\rho \) fixed and only allow \(\mu \) to change by country. If we let \(\rho \) change by lag the significance level of the model might increase, but this could potentially make modeling more difficult by introducing multicollinearity. To test this we wrote this implementation in the algorithm and commented out the lines. If you are interested in exploring this extension to the model you can change these lines to test your strategy.
Algorithm


@(bookshelf : Bookshelf, books : List[BookDetail], games : List[GameDetail], discs : List[DiscDetail], albums : List[AlbumDetail], shelves : List[Bookshelf]) @doctype.render
storefully is an application created to help track various types of media you have in your bookshelves. So far, it can keep track of your books, albums, discs (like DVDs and Blu-Rays), and games. Further improvements will be made in time and pushed as often as they can be.
Please note the navigation at the top that will take you through the various lists (currently own and a wishlist), and through the types of media on your current list. You can also add in new media or update existing media.
@book.getAuthorName
@disc.getDiscTypeName
@album.getArtistName
@game.getConsoleName


This intention can easily transform a simple
xsl:if
into an
xsl:choose
construct which allows multiple
xsl:when
branches and an
xsl:otherwise
, a.k.a "else" branch.
Powered by XPathView + XSLT-Support


105 min
Country: USA
Category: Comady
Release date: November 1, 2013
Director: Jon Turteltaub
Actors: Robert De Niro, Michael Douglas, Morgan Freeman, Kevin Kline, Mary Steenburgen, Jerry Ferrara, Romany Malco ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
112 min
Country: USA
Category: Action, Adventure, Fantazy
Release date: November 8, 2013
Director: Alan Taylor
Actors: Chris Hemsworth, Natalie Portman, Tom Hiddleston, Stellan Skarsgård, Idris Elba, Christopher Eccleston, Adewale Akinnuoye-Agbaje ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
117 min
Country: USA
Category: Crime, Drama, Thriller
Release date: October 25, 2013
Director: Ridley Scott
Actors: Michael Fassbender, Penélope Cruz, Cameron Diaz, Javier Bardem, Cesar Aguirre, Daniel Holguín, Christopher Obi, Bruno Ganz, Brad Pitt ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
92 min
Country: USA
Category: Comedy
Release date: October 25, 2013
Director: Jeff Tremaine
Actors: Johnny Knoxville, Jackson Nicoll, Greg Harris, Georgina Cates, Kamber Hejlik, Jill Kill, Madison Davis ...
Age restriction: none
Cineworld
Empire
Curzon
Odeon
Picturehouse
95 min
Country: USA
Category: Animation, Comedt, Family
Release date: September 27, 2013
Director: Alan Taylor
Actors: Bill Hader, Anna Faris, Will Forte, Andy Samberg, Benjamin Bratt, Neil Patrick Harris ...
Age restriction: none
Cineworld
Empire
Curzon
Odeon
Picturehouse
153 min
Country: USA
Category: Crime, Drama, Thriller
Release date: September 20, 2013
Director: Alan Taylor
Actors: Hugh Jackman, Jake Gyllenhaal, Viola Davis, Maria Bello, Terrence Howard, Melissa Leo, Paul Dano, Maria Bello, Viola Davis ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
128 min
Country: USA
Category: Action, Adventure, Fantazy
Release date: November 8, 2013
Director: Alan Taylor
Actors: Chris Hemsworth, Natalie Portman, Tom Hiddleston, Stellan Skarsgård, Idris Elba, Christopher Eccleston, Adewale Akinnuoye-Agbaje ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
91 min
Country: USA
Category: Action, Adventure, Fantazy
Release date: November 8, 2013
Director: Alan Taylor
Actors: Chris Hemsworth, Natalie Portman, Tom Hiddleston, Stellan Skarsgård, Idris Elba, Christopher Eccleston, Adewale Akinnuoye-Agbaje ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
91 min
Country: USA
Category: Action, Adventure, Fantazy
Release date: November 8, 2013
Director: Alan Taylor
Actors: Chris Hemsworth, Natalie Portman, Tom Hiddleston, Stellan Skarsgård, Idris Elba, Christopher Eccleston, Adewale Akinnuoye-Agbaje ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse
125 min
Country: USA
Category: Drama, War
Release date: November 8, 2013
Director: Brian Percival
Actors: Sophie Nélisse, Geoffrey Rush, Emily Watson, Ben Schnetzer, Nico Liersch, Joachim Paul Assböck, Kirsten Block, Nico Liersch ...
Age restriction: 13
Cineworld
Empire
Curzon
Odeon
Picturehouse


Chicken
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
Beef
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).
Sushi
It is a long established fact that a reader will be distracted by the readable content of a page when looking at its layout. The point of using Lorem Ipsum is that it has a more-or-less normal distribution of letters, as opposed to using 'Content here, content here', making it look like readable English. Many desktop publishing packages and web page editors now use Lorem Ipsum as their default model text, and a search for 'lorem ipsum' will uncover many web sites still in their infancy. Various versions have evolved over the years, sometimes by accident, sometimes on purpose (injected humour and the like).


Device Testing
My pics are the bomb
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Eyelash extensions could be riddled with LICE, expert claims
Beauty trend comes with potential health risks
by Entertainment DailyEyelash extensions users are at risk of lash lice infestations, according to a leading optometrist.
Fans have been warned the popular beauty trend - which involves glueing synthetic or fur eyelashes on top of the natural ones - may have various health risks.
Dr Sairah Malik told ABC7 news that not cleaning eyelash extensions on a regular basis can risk infection... and even lice.
She said: "Generally the idea when you have eyelash extensions is that people are afraid to kind of touch them or wash them because they're afraid the eyelash will fall out."
Read more: Sa m Faiers in therapy t o help stop pulling eyelashes out
She explained that the lice is called Demodex, which - much like head lice - can jump from human to human.
Dr Malik continued: "It's an organism that lives on the hair follicles. It can jump on to anyone, it is just like having head lice."
Demodex symptoms include burning skin sensations and flaky, often red, skin.
However, she says there is a solution, and recommends a tea tree oil cleanser.
Read more: NHS staff are working 1 million unpaid hours per week
Dr Malik explained: "We recommend tea tree base cleanser. Any cleanser that has a diluted form of tea tree, and it is a good idea to use on a daily basis."
Eyelash extensions are typically applied individually and can cost upwards of £60 per set.
They can last up to six weeks, and there is no need for mascara when wearing them.
Last year a woman told Channel 9 in the US how she had suffered burning and inflamed skin around her eyes after having eyelash extensions applied.
When she visited Dr. Parbhu she was told she was suffering from Demodex.
Dr Parbhu said: "They burrow to the base of the lash follicles, and they feed off this material. Infection can set in if they overpopulate."
And apparently non-extension users are still at risk of the lice. Not removing mascara regularly can also encourage lash lice to spread.
Will this put you off eyelash extensions? Tell us what you think of our story on our Facebook page @EntertainmentDailyFix.


Parse IncReco files
increco.py – analysis and plotting functions
Mumodo support for inc_reco file (incremental ASR log files)
Read and parse inc_reco files
inc_reco files are a standardised form of representing icremental results, predominantly from Automatic Speech Recogintion
The files are simple text files that are generated by incremental speech recognizers and have a standard format of the following form (columns are separated by tab stops, not shown):
Time: 0.40 0.00 0.20 one 0.20 0.40 <sil>
Time: 0.50 0.00 0.20 one 0.20 0.30 <sil> 0.30 0.50 one
The class parses the files, and allows per chunk access (two chunks are shown above. So IncReco(file)[0] will yield the first chunk, and normal slicing will give ranges of chunks, e.g. IncReco(file)[3:5]. The object can be iterated over and has a length (total number of chunks)
The chunks are returned as dictionaries with keys “Time” for the response time and Chunk, a list of the chunk rows. Each row is itself a list with items [start, end, text], e.g. the first chunk above is returned as:
{‘Time’: 0.40, ‘Chunk’: [[0.0, 0.2, ‘one’], [0.2, 0.4, ‘<sil>’]}
Two special methods are also impelemented for getting the latest chunk at a specified response time, and for getting the final chunk, which contains the final results and is often the only wanted chunk.
Initialize the IncReco object
Arguments:
filepath – the path to an inc_reco file
parse the inc_reco file
Each incremental output becomes a chunk in the IncReco object
list of weak references to the object (if defined)
Get the very last chunk
This is convenient when we are not interested in the intermediate results, but only the final output


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A Minecraft survival server run by eruraindil.
eruraindil
For more information, contact @eruraindil, or email contact@mroberts.me.


Demo of File Uploader by Uploadcare, CKEditor plugin
About plugin Github repo Releases
Demo
Code
CKEDITOR.replace('demo-editor', {
extraPlugins: 'uploadcare',
toolbar: [['Uploadcare', 'Image'], ['Source']],
uploadcare: {publicKey: 'demopublickey'},
});
Powered by Uploadcare


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Melt the butter and the oil in a large saucepan and brown the pheasant breasts. Put on a plate.
Add the onion, garlic and bacon and cook for 3-4 minutes until the onion starts to soften.
Stir in the flour and cook for a minute. Add the cider, stock , vinegar, thyme and bay leaf. Season well. Bring to the boil and replace the pheasant pieces. Turn the heat down so the liquid bubbles gently and cover. Cook for 20-30 minutes until the pheasant is cooked and the sauce has thickened. Don't overcook or the meat will dry out.
Meanwhile bring a large pan of salted water to the boil and add the potato, apple and celeriac cubes. Boil until tender, drain, add the parsley and sour cream and some ground black pepper. Mash until smooth. Serve with the pheasant casserole and a green salad.


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identifyClass()
- Method in class coffeetable.datastructures.
DataRow
If there is only one class, pass it to the datacolumn it is transforming to for caching purposes.
identityMatrix(int)
- Static method in class coffeetable.datastructures.
Matrix
Creates an identity matrix of a given dimension
indexOf(DataColumn)
- Method in class coffeetable.datastructures.
SchemaSafeDataStructure
Finds and returns the index of a particular column
indexOf(DataRow)
- Method in class coffeetable.datastructures.
SchemaSafeDataStructure
Finds and returns the index of a particular row
Infinite
- Class in
coffeetable.math
Infinite()
- Constructor for class coffeetable.math.
Infinite
Infinite(String)
- Constructor for class coffeetable.math.
Infinite
InfinityException
- Exception in
coffeetable.utils
An exception class thrown when an illegal operation is performed on an Infinite value -- acts as a specific, super NullPointerException
InfinityException()
- Constructor for exception coffeetable.utils.
InfinityException
InfinityException(String)
- Constructor for exception coffeetable.utils.
InfinityException
InfinityException(String, Throwable)
- Constructor for exception coffeetable.utils.
InfinityException
InfinityException(Throwable)
- Constructor for exception coffeetable.utils.
InfinityException
innerProduct(DataColumn)
- Method in class coffeetable.datastructures.
DataColumn
Returns the inner product between this instance of the DataColumn and another.
inRange_col(AbstractDataTable, int, int, boolean)
- Static method in class coffeetable.datastructures.
AbstractDataTable.BatchModUtilities
inRange_row(AbstractDataTable, int, int, boolean)
- Static method in class coffeetable.datastructures.
AbstractDataTable.BatchModUtilities
intValue()
- Method in class coffeetable.math.
Infinite
intValue()
- Method in class coffeetable.math.
MissingValue
intValue()
- Method in class coffeetable.math.
TheoreticalValue
invertValue()
- Method in class coffeetable.math.
MissingValue
Not sure whether to make this public or not...
isConvertableToNumeric()
- Method in class coffeetable.datastructures.
DataColumn
Returns whether the DataColumn could be parsed to a numeric type (either Integer or Double)
isConvertableToNumeric(DataColumn<T>)
- Static method in class coffeetable.datastructures.
DataColumn.TypeConversionUtils
isDiagonal(Matrix<T>)
- Static method in class coffeetable.datastructures.
Matrix
isEmpty()
- Method in class coffeetable.datastructures.
SchemaSafeDataStructure
Returns whether the table is empty
isFactor(Object)
- Static method in class coffeetable.datatypes.
Factor
isInfinite(Object)
- Static method in class coffeetable.math.
Infinite
isNA(Object)
- Static method in class coffeetable.math.
MissingValue
isNumeric()
- Method in class coffeetable.datastructures.
DataColumn
Returns whether the DataColumn is currently a numeric type (assignable from Number.class)
isNumeric(DataColumn<T>)
- Static method in class coffeetable.datastructures.
DataColumn.TypeConversionUtils
isNumeric()
- Method in class coffeetable.datastructures.
Schema
Returns whether the schema is completely numeric
isRendered()
- Method in class coffeetable.datastructures.
SchemaSafeDataStructure
isSafe(Schema)
- Method in class coffeetable.datastructures.
Schema
Determines whether the schema matches another schema
isSingular()
- Method in class coffeetable.datastructures.
Schema
Returns whether the schema only contains one class
isSquare(Matrix<T>)
- Static method in class coffeetable.datastructures.
Matrix
isTheoretical(Object)
- Static method in class coffeetable.math.
TheoreticalValue
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