dengue rate RCP transmission Korea mosquitoes climate Fig temperature cumulative infectious model parameters day number Jeju effects mosquito Lee change incidence infected humans cases control {border-style data infection Aedes human px;} #ffffff;} population Korea. South dynamics scenarios annual average based inflow international potential strain travelers Dengue Table mortality outbreaks risk Infectious Island fever outbreak virus (a) (b) vector analysis period two-strain Health Research Sciences capacity controls estimated increases incubation range seasonal single-strain temperature-dependent travel Tropical daily displayed factors investigate scenarios. year years Climate Diseases. Island, Korean National Two-strain areas illustrates model. model: probability px; {font-family Moreover, Thus, adult death disease font-size future impact increase larvae maturation models provided rainfall rates results secondary time > ./journal.pone..t Biology Diseases Kim Korea, Medicine Public Science Single-strain Writing associated autochthonous climate-dependent defined double; exhibit functions higher humans, initial intensity larva line), parameters. reproduction scenario subtropical temperate using vectors < Chang Chen Concentration Disease Furthermore, Japan Life Neglected affect albopictus bite biting border-color border-width correlation dashed denoted described different domestic effect endemic epidemic estimate forcing function global important increased investigated modeling original owing positive precipitation primary probabilities rate, reported respectively. shows solid; studies study total transmissible value various vectorial warm {font-style {font-weight (day) ./journal.pntd. ./journal.pone. Comparison Control Diseases: Foundation Here, However, Japan, June Pathway Proceedings Representative Section Taiwan Wang antibody-dependent assume birth bold case changes combined conditions countries courier; days draft duration em; enhancement explore female five-year given include indigenous infections measures model, monthly near new parameter particular, pre-adult presented pt;} represent represents restrictions risks row), scenarios, serotypes solid strains strategies strong transmission. travelers. used values warming zero


{{payment.customerName}}
{{payment.date | date:'dd/MM/yy'}}
{{payment.orderCount}} orders paid
{{payment.info}}
{{payment.orderPrice}}
{{payment.shippingPrice}}
{{payment.otherPrice}}
{{payment.totalPrice}}


This project is braught to you by Alpine Intuition - Making the Best of AI available to everyone, everywhere.
We created this projet in a effort to truely bring AI to everyone. We wanted to feature that whatever your entry skills are, there are today tools making AI avaiale to and usable by everyone.
this project is completely open source, you can find it here :
In this tutorial you will discover what artificial intelligence and machine learning are by creating your own AI based game controller. For that we will use Teachable Machine a fast and easy way to create machine learning models without any required code skills, and HexGL a simple open source racing game.
Click on Image Project The Image project will enable you to create an image classifier model. A classifier model is a model that takes various data as input and is able to classify them into different categories. For example, you could train an image classifier to recognise apples images from bananas images. Here we will use it for our game controller.
Create a total of 4 classes with the button Add a class This corresponds to how many categories we want our model to be able to recognise. For our racing game we need four commands "forward", "left", "right" and "brake".
Name them in order: Forward, Left, Right and Brake In machine learning this corresponds to the "labels" of the categories we want to recognise. The model will then learn to recognise to which label does an image correspond.
It is now time to create the dataset to train your model. You now need to decide what type of controller you want to use. In this project, we are using the webcam as input for the AI. You will have to choose the visual differentiator you want between your Forward, Left, Right and Brake instructions. Here are a set of examples to illustrate to point and hopefully spark some ideas.
Add a minimum of 200 images for each class with the Webcam by using the Hold to record button. Make sure to have diversity in the images of a same class (i.e move a little bit). Since you won't always do the exact same pose, we need the AI to take this into account. This is your model dataset, every machine learing or AI model needs to learn from data, here we are providing it with images that we labelled into different categories, this is called the training dataset.
Use the Advanced button of the middle panel and change the Epochs value to 16. This will make the training shorter.
Then click on Train Model and be patient ;). What is happening? The model is now "training", what it means is that a model, that has never seen your images before is now trying to classify them into the four categories. It is a trial and error process, the model tries to "guess" which categories does your image go into, and everytime it is right or wrong it updates itself.
Once the training is complete you can directly visualize and test your AI controller in action in the Output section of the right panel. It's ok if you don't get a value of 100%, however the correct command should be overwhelmingly higher than the others. If the model is not very precise, try adding more data to the problematic categories and re-train your model. Once you are satisfied with your model you can continue to the next step.
Download your model with the buttons Export model, Download and then Download my model.
Once the download is complete, click on the Next button below.
Upload your trained AI controller
Use the buttons on the left to upload and use your newly trained AI controller.
Each file of your downloaded ZIP archive must be selected using the appropriate button,
Start
Controls: Keyboard
Quality: High
HUD: On
Godmode: Off
Credits
Click/Touch to continue.
Click/Touch to continue.
Code
Concept and Development Thibaut Despoulain (BKcore)


Test purpose
- Create a phrase entity
- Clone the phrase, to check the various drawing methods available
- Change the state of a subset of phrases sharing the same state object
- Cache the output of each Phrase entity and create Picture entitys from them
- Position the picture phrases on the canvas
- Check drag-and-drop functionality
Known issues when using this approach:
- Calculating the best Picture dimensions to replicate the Phrase may take some experimentation; remember that Phrase entitys include their lineHight attribute when calculating their height value.
- Any bounding box will be incorrectly placed with relation to the captured text; try using a stroke around the Picture entity instead.
- Phrase entitys with dynamic fill or stroke styles (for example animated patterns or gradients) will not benefit from this approach.
- The 'clear' method will not work because the cache image is captured against a transparent background.
Touch test: should work as expected - though flicking a text may lead to it moving beyond the canvas border and out of sight!
Annotated code


Feature Summary
- Basic PC statistic management (Skills, HP, AC, and Initiative)
- 14-day inactive session maintenance
- NPC statistic loading from Open5e and homebrews from CritterDB
- Character loading from gsheet2.avrae.io
- Dynamic context menus for most of the map functions
- Saving and loading of sessions to a file
- Session passwords
- Basic initiative tracking (Currently missing initiative advantage support)
- Area obscuring/Fog of War
- Map loading from file, configurable grid scale and size
- Grid locking for moving NPCs and PCs
- Multiple maps active at once
- Zooming and panning of maps
- Attack automation in initiative
- Automated rolls and roll strings
- Toggleable roll reporting to the DM
- Inter-player messaging
- Custom player & NPC icons


Workshop
The Workshop is Penny Park’s R&D lab, as well as the storage site of various mysterious machines and contraptions. Its denizen is the Tinkerer, a quirky individual who may, from time to time, have a task for you.
{% if team.remote_only %}Visiting the workshop requires being on the MIT campus. Sorry.
{% else %}Visit the Workshop in room 13-3101 and ask the Tinkerer for the .
You've already collected the following pennies:
(Note: you must have a complete penny collection before proceeding further.)
{% end %}


Praesent fo shizzlin dizzle nizzle maurizzle fo shizzle bibendum. Aliquizzle lacinia fo shizzle mah nizzle fo rizzle, mah home g-dizzle lectizzle.
Bow wow wow ipsum dolor uhuh ... yih! that's the shizzle, go to hizzle adipiscing elit.  Pellentesque shizzle my nizzle crocodizzle tortor.
Praesent dignissizzle pot quizzle gangster gizzle molestie. Sizzle rizzle mi, for sure sheezy, lobortizzle dawg, molestie at, . Sizzle fo shizzle. Shit consectetuer. Morbi gizzle erizzle, luctizzle sed, bibendum nizzle, bizzle izzle, check out this.


projection of the audience in the stereoscopic video
hart to heart
Stereo 3D interactive video installation proposal for Les Rencontres Internationales
From the artistic practice “Remote Sensibility: the ecology of perception" by Marten Berkman
Who
Marten Berkman is a northern interdisciplinary visual artist working over ten years in stereoscopic media. Coming from a background in fine art and documentary photography and film making focused on wilderness and conservation, he constantly aspires to challenge and expand our vocabulary for describing human nature, the rest of nature, and the relationship between them. He lives upstream from Whitehorse, Yukon in Canada’s sub arctic.
Portfolio available here: www.martenberkman.com
Contact<EMAIL_ADDRESS>Baptiste Bohelay is a
Portfolio available here: www.lebaptiste.com
Contact<EMAIL_ADDRESS>Jordy Walker is a composer and sound designer based in Whitehorse, Yukon. His aural work has featured extensively in films, performance and installations, including Marten’s recent work.
Portfolio available here: www.jordywalkermusic.com
earlier examples of practice: projection interieur projection
Description of Installation
A short throw 3D HD projector, tied to a laptop computer and Kinect sensor, loops a video installation of many scenes of the Hart river in the Yukon’s subarctic Peel watershed. This is a pristine wilderness where disparate layers of meaning overlap in the same geography: resource extraction competing with ancient and inherent value in the land. Woven into the images of this wild habitat are the textures of materials from our manufactured spaces. At select scenes, particles reflecting the viewers and their movements in the gallery space are projected directly into the stereoscopic representation of remote landscapes. A sound scape accompanies the visuals.
Description of Artistic Practice
Remote Sensibility is the theme of my artistic practice in the subarctic where I live. Using parameters of stereo 3D imaging to compel a sense of presence in place, and software and sensors to reflect viewers in the landscapes they observe but may never know first hand, I wish to disrupt duality inherent in imaging of the earth. Using technology as a reflection of our nature, I am exploring how we see the rest of nature, and our relationship with it, from the vantage point of our manufactured spaces...a vigour which appears essential to the ecology of our perception.
Disruption of my own traditional photographic practice has been an essential part of my process in distilling imaging of the land and our relationship with it. As images of pristine landscapes devoid of humans continue to be used to sell conservation ideas and cars, I have wondered about the dichotomy that I am a part of perpetuating. What are the actual layers of meaning which overlap in the land, and how do we honestly reflect our own nature in it?
In arctic forays and the subarctic where I live, stereoscopy has become an essential colour on my palette to disrupt two dimensionality of my photo representation. The z axis is our sense of presence. The emotive and visceral experience the added dimension brings us compelled expanding the still image to moving tableaux of the remote landscapes we are a part of but which most of us never see first hand. In large scale video installation, my photography becomes the slow food of cinema, as viewers would spend many minutes observing nothing more than the grass swaying in the wind on an arctic outcrop.
However the ultimate disruption for me has been to dissolve the separation of subject from object. I am confounded by the duality with nature that we perpetuate in images of it… the image perpetuates our own conditioning of separateness… the medium is an artifact, long removed from the cave walls of our ancestors where our canvas was part of the earth.
Or is it so removed? What are technology and creativity but our very own nature, and hence inseparable from the rest of nature? Why is our technological nature so at odds with the rest of the living community? Is it that our perception is orphaned, that we no longer see the wall of the cave connected to the mountain and the river…as though our consciousness has not caught up to the means of perception we have crafted?
To disrupt this separateness, I have been inspired to reflect the viewer in the landscapes so distant yet so inseparable from us. Working with my friend Baptiste Bohelay, fellow artist and highly skilled and playful interactive designer, we let the viewer find themselves in the stereoscopic imagery of remote landscapes: particles play in the land with our movement in the gallery space.  And in that symbolism, perhaps we begin to fathom the literalness of our relationship, as every calorie of energy, every metal, every plastic, comes from these distant places. These places are in fact now all around us, in the materials of our manufactured world.
I am compelled to disrupt how we see the land and ourselves in it, to have a deeper and more vigorous perception of human nature, the rest of nature, and the relationship between us.
Equipment List


<shortcut>
The <shortcut>
element identifies a keyboard shortcut for a menu or
window action. This element is part of the DITA user interface domain, a special set of
DITA elements designed to document user interface tasks, concepts and reference
information.
Category: User interface elements


« Back to the index
WA.Function.buildFilter example
The "filter" method allow the programmer to define if the main function will be executed or not:
newfunction = WA.Function.buildFilter.call(fct, filterfuntion);
The "filterfunction" is a function that accept the
same parameters of the main function and will return true if the main function can be executed, or false if not.
This function is very usefull to verify the validity of the parameters and execute the main function only if anything is correct, or execute the main function only if any special condition is met.
Let's use a basic function that calculates the difference between 2 values:
function test(var1, var2)
{
return var2-var1;
}
View the result of this code
The filter function allow the execution only if the second parameter is greater than the first parameter.
The result returned by the main function will always be undefined if the filter does not allow the execution.
var filtertest = WA.Function.buildFilter.call(test,
function(v1, v2)
{
return v2 >= v1;
}
);
View the result of this code
« Back to the index


Cottonwood has a diverse amount of rooms, each suited for your financial needs. We recommend you use TripAdvisor for our best and most genuine prices on our rooms!
For those looking for a suite, we got those conveniently located close to the beach, giving you an amazing view, every morning!
For those wishing to treat their families, we got the right place for you! With 2 rooms and a spacious room, we offer a 20% discount for those with bigger families!
Those with the luxurious, classy taste, We got the Business Suite, complete with top-priority room service, and the best suites the area has to offer! It comes with a 10% discount after your first purchase!
For the organizations and other parties that wish to make use of our conferencing services, Our conference Rooms are at the top of the main building, far from all the potential distractions from the beach.
Back To Home Page


foo / This is a comment
/ This is a comment too
/
Some multi-line
comment here
\
\
This comment will
continue until the
end of code
"q"
"\""
"\\"
"\142"
"foo bar baz"
`
`q
`zaphod
`:<IP_ADDRESS>:5042
`:www.yourco.com:5042
`.new
42
b:-123h
c:1234567890j
pi:3.14159265
float1:1f
r:1.4142e
2.0
4.00e
f:1.23456789e-10
r:1.2345678e-10e
bit:0b
byte:0x2a
a:42
bit:1b
0w 0n 0W 0Wh 0Wj
d:2006.07.04
t:09:04:59.000
dt:2006.07.04T09:04:59.000
mon:2006.07m
mm:09:04
sec:09:04:59
d:2006.07.04
0Nm 0Nd 0Nz 0Nu 0Nv 0Wd 0Wt 0Wz
99+L
x<42|x>98
(x<42)|x>98
42~(4 2;(1 0))
(4 2)~(4; 2*1)
" ," ,/: ("Now";"is";"the";"time")
L1,/:\:L2
0+/10 20 30
(1#) each 1001 1002 1004 1003
string 42
L1 cross L2
type c
select from t where price=(max;price) fby ([]sym;ex)
ungroup `p xgroup sp
`instrument insert (`g; `$"Google"; `$"Internet")
/ Example from http://code.kx.com/wiki/Cookbook/CorporateActions
getCAs:{[caTypes]
/ handles multiplie corporate actions on one date
t:0!select factor:prd factor by date-1,sym from ca where caType in caTypes;
t,:update date:1901.01.01,factor:1.0 from ([]sym:distinct t`sym);
t:`date xasc t;
t:update factor:reverse prds reverse 1 rotate factor by sym from t;
:update `g#sym from 0!t;
};
adjust:{[t;caTypes]
t:0!t;
factors:enlist 1.0^aj[`sym`date;([] date:t`date;sym:t`sym);getCAs caTypes]`factor;
mc:c where (lower c:cols t) like "*price"; / find columns to multiply
dc:c where lower[c] like "*size"; / find columns to divide
:![t;();0b;(mc,dc)!((*),/:mc,\:factors),((%),/:dc,\:factors)]; / multiply or divide out the columns
};
/ get the adjustment factors considering all corporate actions
getCAs exec distinct caType from ca
adjust[t;`dividend] / adjust trades for dividends only
There are certain edge cases where Prism will fail. There are always such cases in every regex-based syntax highlighter. However, Prism dares to be open and honest about them. If a failure is listed here, it doesn’t mean it will never be fixed. This is more of a “known bugs” list, just with a certain type of bug.
\d .


I have no fav players and I dont like music
it is good and if U dont like it you are very sad person
i like music , my fav players are:


number reproduction rate January coronavirus âˆ’ etÂ contact data transmission {border-style time px;} #ffffff;} th, infected model cases control cumulative individuals basic daily estimated peak dynamics effective outbreak based different estimation health novel rd, value Peopleâ€™s Republic confirmed diagnose epidemic public .â€".). China, Wuhan Wuhan, available computed decreasing including px; {font-family â€™ (Tang Fig.Â Health cases, font-size initial models new period previous quarantined ratio risk updated MCMC case double; exponential growth higher infectious interventions predicted .â€".) China. Commission December Research SARS border-color border-width coworkers current epidemics evolving highly implementation increase measures model, parameter parameters population resources solid; strategies time-dependent used using utilized values virus {font-style {font-weight (-nCoV) (Imai -nCoV .â€".. China Imai Mathematics National Prof. Table analysis bold class courier; detection em; epicenter estimate findings forecasting gradually implemented increasing infections information mathematical obtained order proposed pt;} rate. size time,


Interface StreamingRecognizeRequestOrBuilder (2.0.0)
public interface StreamingRecognizeRequestOrBuilder extends MessageOrBuilder
Implements
MessageOrBuilderMethods
getAudioContent()
public abstract ByteString getAudioContent()
The audio data to be recognized. Sequential chunks of audio data are sent
in sequential StreamingRecognizeRequest
messages. The first
StreamingRecognizeRequest
message must not contain audio_content
data
and all subsequent StreamingRecognizeRequest
messages must contain
audio_content
data. The audio bytes must be encoded as specified in
RecognitionConfig
. Note: as with all bytes fields, proto buffers use a
pure binary representation (not base64). See
content limits.
bytes audio_content = 2;
| Type | Description |
| ByteString | The audioContent. |
getStreamingConfig()
public abstract StreamingRecognitionConfig getStreamingConfig()
Provides information to the recognizer that specifies how to process the
request. The first StreamingRecognizeRequest
message must contain a
streaming_config
message.
.google.cloud.speech.v1.StreamingRecognitionConfig streaming_config = 1;
| Type | Description |
| StreamingRecognitionConfig | The streamingConfig. |
getStreamingConfigOrBuilder()
public abstract StreamingRecognitionConfigOrBuilder getStreamingConfigOrBuilder()
Provides information to the recognizer that specifies how to process the
request. The first StreamingRecognizeRequest
message must contain a
streaming_config
message.
.google.cloud.speech.v1.StreamingRecognitionConfig streaming_config = 1;
| Type | Description |
| StreamingRecognitionConfigOrBuilder |
getStreamingRequestCase()
public abstract StreamingRecognizeRequest.StreamingRequestCase getStreamingRequestCase()
| Type | Description |
| StreamingRecognizeRequest.StreamingRequestCase |
hasAudioContent()
public abstract boolean hasAudioContent()
The audio data to be recognized. Sequential chunks of audio data are sent
in sequential StreamingRecognizeRequest
messages. The first
StreamingRecognizeRequest
message must not contain audio_content
data
and all subsequent StreamingRecognizeRequest
messages must contain
audio_content
data. The audio bytes must be encoded as specified in
RecognitionConfig
. Note: as with all bytes fields, proto buffers use a
pure binary representation (not base64). See
content limits.
bytes audio_content = 2;
| Type | Description |
| boolean | Whether the audioContent field is set. |
hasStreamingConfig()
public abstract boolean hasStreamingConfig()
Provides information to the recognizer that specifies how to process the
request. The first StreamingRecognizeRequest
message must contain a
streaming_config
message.
.google.cloud.speech.v1.StreamingRecognitionConfig streaming_config = 1;
| Type | Description |
| boolean | Whether the streamingConfig field is set. |


Events to support the development of mindfulness teachers and people interested in mindfulness and compassion-oriented approaches. These events last between a day and a week and are typically led by nationally and internationally renowned speakers, as well as local mindfulness teachers with particular areas of expertise.
Workshops will include a mixture of teaching, discussion and experiential practice and provide an opportunity to network with individuals in the field.
Masterclasses are held online, unless otherwise stated. We will send you a joining link when we confirm your registration.
Please check with<EMAIL_ADDRESS>for specific details.
See below for the list of masterclasses with flyers and booking information.
-
{% for event in page.event %}
-
{% if event.datetext %}
{{ event.datetext }}
{% endif %} {% if event.organiser %}{{ event.organiser }}
{% endif %} {% if event.description_markdown %}{{ event.description_markdown | markdownify }}
{% endif %} {% if event.booking_url %}Buy tickets (link opens in new window)
{% endif %} {% if event.flyer_path %}{% endif %}
{% endfor %}
Masterclass prices
General admission: £99.00
SPFT staff members: £50.00
Current IAPT MBCT trainees: £15.00
SMC Adapted MBI / Foundation / IAPT MBCT training alumni (graduated in past two years only): £30.00
Current Foundation / MBI / IAPT students: Free if on syllabus. £15 if not.
SMC employed / contracted mindfulness teachers: £30.00
Graduates of the Foundation and the adapted Mindfulness Based Intervention training are entitled to a discount on most Sussex Mindfulness Centre masterclasses for the two years following their training (i.e. paying £30 per masterclass). They are also entitled to pay the Sussex Partnership staff rate for our annual conference and the Mindful Self Compassion two day introduction.
Booking is still required and cancellations must be made two weeks beforehand to avoid cancellation charges.
If you have any queries email<EMAIL_ADDRESS>or call 0300 304 0689.


Just like CSS and JS, data is often stored in external files and loaded into the page dynamically.
D3 comes with functions that can read in external data files automagically. Filetypes include:
Reads text in as a string. 'Nuff said.
Some sample text
This can be loading like this:
d3.text("file.txt", function(error, data) {
console.log(data);
});
Comma-separated values. Each line of the file is a data object, with it's values separated by commas. The first row in the file is expected to be the key names for each data point.
country,value
usa,4
mexico,10
canada,6
This can be loading like this:
d3.csv("file.csv", function(error, data) {
console.log(data);
});
JavaScript Object Notation. Data is stored with the same syntax as it would be in Javascript, with keys and values.
[
{
country: "usa",
value: 4
}
]
This can be loading like this:
d3.json("file.json", function(error, data) {
console.log(data);
});
In the context of data, developers who store data in databases need to enable an easy way for themselves and others to extract data based on specific query parameters.
Data USA hosts data from 8 different public US datasets.
Additionally, they developers have published an open API for all of the data. Documentation is here.
Data from an API is commonly delivered as JSON, so instead of giving d3.json a filename, we can give it a URL:
var url = "https://api.datausa.io/api/?required=income&show=geo&sumlevel=state";
d3.json(url, function(error, data) {
console.log(data);
});
Create a presentation pitching your final project.
A collection of interesting public datasets grouped by category.


Economist, Editor and Web Developer
I am currently doing consulting work for two start-ups after having worked for large and small companies.
I've lived in Germany, the U.S, Japan, Singapore and currently reside in Switzerland.
Project and Product Management
I have successfully managed projects and products around the world from the concept stage to the finished product in news and information services.
I am an avid, if amateur, sailor
I have sailed in the North Sea, Adriatic, Mediterannean and Long Island Sound, and have just started competing in regattas.
Sailing Hiking Skiing Cycling


- Professor Einstein teaching a lecture -
Accomplishments
Some photos of Sr. Einstein
The definition of insanity is doing the same thing over and over again and expecting a different result - Albert Einstein
Watch full detail accomplishments from Wikipedia.


GFQG
Gap Filled Question Generator
Paste some text in the box below and press submit. I'll ask you some questions about it.


---
title: "SIX FRIENDS ART EXHIBIT"
date: "2000-01-01 19:09:20 -06:00"
categories:
- exhibit
subtitle: ""
layout: "free-events"
event-image: "six-friends-exhibit.jpg"
event-dates: "SEPTEMBER 20 - OCTOBER 6"
event-location: "Red Butte Garden Visitor Center"
button-type: "register"
tickets-link: ""
registration-info: "Questions?
Please call<PHONE_NUMBER>"
instructor-info: "N/A"
member-cost: "Free"
public-cost: "Garden Admission"
event-notes: "Artist Reception Sept 21"
tickets-button: "hide"
refund-policy: "hide"
published: false
---
<
Saturday, September 21 from 5-7:30PM
We Six Friends met as volunteers working for the Utah Artists 2002 show, a juried exhibit displayed alongside the 2002 Winter Olympics. Having since developed our own skills in various artistic mediums, we enjoy interpreting and celebrating the patterns, textures and joys of the natural world. We employ oils on canvas (and cigar boxes!), encaustic on paper, mixed media, and found objects for sculpture.
More of Mary Tull’s work is viewable at www.mtull.work


{# ``base.html`` is the template all our other templates derive from. While
Flask-Bootstrap ships with its own base, it is good form to create a custom
one for our app, as it allows customizing some aspects.
Deriving from bootstap/base.html gives us a basic page scaffoling.
You can find additional information about template inheritance at
http://jinja.pocoo.org/docs/templates/#template-inheritance
#}
{%- extends "bootstrap/base.html" %}
{# We also set a default title, usually because we might forget to set one.
In our sample app, we will most likely just opt not to change it #}
{% block title %}Getaff{% endblock %}
{# While we are at it, we also enable fixes for legacy browsers. First we
import the necessary macros: #}
{% import "bootstrap/fixes.html" as fixes %}
{# Then, inside the head block, we apply these. To not replace the header,
``super()`` is used: #}
{% block head %}
{{super()}}
{#- Docs: http://pythonhosted.org/Flask-Bootstrap/macros.html#fixes
The sample application already contains the required static files. #}
{{fixes.ie8()}}
{%- endblock %}
{# Adding our own CSS files is also done here. Check the documentation at
http://pythonhosted.org/Flask-Bootstrap/basic-usage.html#available-blocks
for an overview. #}
{% block styles -%}
{{super()}} {# do not forget to call super or Bootstrap's own stylesheets
will disappear! #}
{% endblock %}
{# Finally, round things out with navigation #}
{% block navbar %}
{% endblock %}


Preparation time
less than 30 mins
Cooking time
10 to 30 mins
Serves
Serves 4
Quick and easy, but so rewarding. Make your own sweet, sticky sauces for this chicken and steak meat-fest - ideal for the barbecue.
For the BBQ sauce with deep fried chicken wings, heat the oil for deep-frying to 180C/350F (use a cooking thermometer) in a deep-sided pan not more than half full, or alternatively use a deep fat fryer. (CAUTION: hot oil can be dangerous. Do not leave unattended.)
 Cook for 6-8 minutes or until golden-brown and crisp. When cooked, remove with a slotted spoon and leave to drain on kitchen paper. Season to taste with more salt.
Fry the onion and garlic in olive oil with the chilli, fennel seeds and sugar for 2-3 minutes. Add the soy sauce and ketchup and season with salt and pepper.
Bring to the boil and simmer for a few minutes to combine the flavours.
For the chilli sauce with griddled fillet steak, heat a large frying pan and, when hot, add the vinegar, sugar and soy sauce and bring to the boil.
Add two of the red chillies, the chipotle chilli and ginger. Cook for 2-3 minutes, or until the mixture is thickened and sticky.
Heat the oil in a griddle pan. Rub the steaks with oil and salt and pepper. Place on the hot griddle pan and cook each side for a couple of minutes (depending on how rare you like your steaks).
Serve the chicken wings in a bowl with the sauce over the top and sprinkle with half the flatleaf parsley.
To serve the steak, slice the steak, spoon the sauce over and garnish with chopped parsley and the remaining red chilli.


Ticket ID: 409788
Name:
Parker Seidel
No Active Support
Email:
<EMAIL_ADDRESS>Response Time:
72 Hours, 60hours left
Last Action:
Never been locked.
Link to public post
Status:
Not answered


{% load wagtailcore_tags %}
{% trans 'You have already completed this' %} {{surveytype}}.
{% if request.path == "/" %} {% trans "Show Results" as buttontext %} {% pageurl survey as link %} {% include "patterns/basics/buttons/sp_variations/button.html" with type="primary" hyperlink=link|add:"success/" text=buttontext %} {% else %} {% trans "Back home" as back %} {% include "patterns/basics/buttons/sp_variations/text-dir-arrow_back-button.html" with hyperlink=request.site.root_page.specific.url page_name=back direction="left" %} {% endif %}


{{ error }}
Your data was probably incompatible, or the date and data columns were entered incorrectly. Please try again
Data Scrape URL
Filetype (.csv, .tsv)


|
SuperLU 6.0.0
|
Copy a computed column of U to the compressed data structure and drop some small entries. More...
#include "slu_sdefs.h"
Functions | |
| void | scopy_ (int *, float[], int *, float[], int *) |
| int | ilu_scopy_to_ucol (int jcol, int nseg, int *segrep, int *repfnz, int *perm_r, float *dense, int drop_rule, milu_t milu, double drop_tol, int quota, float *sum, int *nnzUj, GlobalLU_t *Glu, float *work) |
Copyright (c) 2003, The Regents of the University of California, through Lawrence Berkeley National Laboratory (subject to receipt of any required approvals from U.S. Dept. of Energy)
All rights reserved.
The source code is distributed under BSD license, see the file License.txt at the top-level directory.
-- SuperLU routine (version 4.1) -- Lawrence Berkeley National Laboratory November, 2010
| int ilu_scopy_to_ucol | ( | int | jcol, |
| int | nseg, | ||
| int * | segrep, | ||
| int * | repfnz, | ||
| int * | perm_r, | ||
| float * | dense, | ||
| int | drop_rule, | ||
| milu_t | milu, | ||
| double | drop_tol, | ||
| int | quota, | ||
| float * | sum, | ||
| int * | nnzUj, | ||
| GlobalLU_t * | Glu, | ||
| float * | work | ||
| ) |
| void scopy_ | ( | int * | , |
| float | [], | ||
| int * | , | ||
| float | [], | ||
| int * | |||
| ) |


| OPTION | PROBLEM TYPE |
| 0 | va in hex to pa in hex |
| 1 | va in hex to pa in binary |
| 2 | va in hex to pa in decimal |
| 3 | va in binary to pa in hex |
| 4 | va in binary to pa in binary |
| 5 | va in binary to pa in decimal |
| 6 | va in decimal to pa in hex |
| 7 | va in decimal to pa in binary |
| 8 | va in decimal to pa in decimal |
| 9 | Random option |