Getting Started
- Set up your Jekyll site
-
Add the following to your site’s
Gemfile
file:gem "jekyll-leaflet"
-
Add the following to your site’s
_config.yml
file:plugins: - jekyll-leaflet
You are now ready to make a map! In any post or page, use the leaflet_map
Liquid tag block. Use the following code to make a blank map.
{% leaflet_map %}
{}
{% endleaflet_map %}
This tag block takes in 1 positional argument, a JSON object. This object can specify a [lat,long]
center, the zoom
, a providerBasemap
(Preview a basemap and pick a “Provider name” from here), etc.
{% leaflet_map { "center" : [63.0694, -151.0074],
"zoom" : 7,
"providerBasemap": "OpenTopoMap" } %}
{}
{% endleaflet_map %}
You can place any number of “leafet items” inbetween the leaflet_map
tag blocks. At minimum, there must at least be an empty object {}
in between the tag blocks, or else the map won’t draw at all. Leaflet items include markers, geometries, geojson, features, popups, etc. Each leaflet item tag also takes in a single JSON object positional argument. In this example, we will be drawing 1 marker and 1 Polygon on a map.
{% leaflet_map {"zoom" : 4 } %}
{% leaflet_marker { "latitude" : 48.7596,
"longitude" : -113.787,
"popupContent" : "Glacier National Park, Montana"} %}
{% leaflet_geojson {
"type": "Feature",
"properties": { "popupContent": "The whole state of North Dakota",
"href": "https://nd.gov" },
"geometry": {
"type": "Polygon",
"coordinates": [[
[-104.05, 48.99],
[-97.22, 48.98],
[-96.58, 45.94],
[-104.03, 45.94],
[-104.05, 48.99] ]] } } %}
{% endleaflet_map %}
All above examples have shown you passing in a JSON object as the first positional argument of a {id: "e98e972af636ece11a8ab34e8f023f32",
type: "LeafletGeoJSON",
value: {}},
tag. When you specify a String as the first positional argument, the argument will be read as a URL, and the data will be fetched from that URL.
{% leaflet_map {"zoom" : 13 } %}
{% leaflet_marker {"latitude" : 34.296184,
"longitude" : -117.211329,
"popupContent": "Arrowhead Pinacles Trail"} %}
{% leaflet_geojson "/tech/jekyll-leaflet/assets/hike.geojson" %}
{% endleaflet_map %}
The true power of jekyll-leaflet
is unlocked when you connect the previous concepts with programatic control flow with Liquid. Let’s say you have some sample posts that are tagged with location information in the front matter like this:
layout: post
title: Sample Post 1
location:
geojson: '{
"type": "Feature",
"properties": {"popupContent": "Banff National Park"},
"geometry": {
"type": "Point",
"coordinates": [-115.928160, 51.495437]
}
}'
permalink: /samples/sample-post-1/
You could cycle through all posts in your site via {% for post in site.posts %}
inside of the leaflet_map
block, assigning each post.location.geojson
to a {% leaflet_geojson %}
leaflet item. This would give you a dynamic, always up-to-date map of your posts and their locations. We have some sample posts set up, so running the following code will generate such a map:
{% leaflet_map {"zoom" : 4,
"center" : [50, -114],
"providerBasemap": "OpenStreetMap.HOT"} %}
{%- for post in site.posts -%}
{% if post.location.geojson %}
{% leaflet_geojson {{post.location.geojson}} %}
{% elsif post.location.latitude and post.location.longitude %}
{% leaflet_marker { "latitude" : {{post.location.latitude}},
"longitude" : {{post.location.longitude}} } %}
{% endif %}
{% endfor %}
{% endleaflet_map %}
This documentation that you are reading is generated in Jekyll using the jekyll-leaflet
plugin. You can clone the repository, build the site locally, and modify everything you are reading.
I use this plugin for my personal travel blog, located at https://davidjvitale.com/blog/travel/. You can see how I use Liquid to put all my travel posts onto one map, while overriding the URL to link to each individual post.


Home
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About batman
Why batman
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Batman's Merchandise
Browse
Batman key chains
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Batman key chains-1
Rs 100
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| Created: | 8/19/2020 1:23:56 PM |
| Modified: | 8/19/2020 1:23:56 PM |
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«table» sco_recon_columns Table «FK» |
Name: sco_recon_column_versions_sco_recon_column_id_f... |
Name: sco_recon_columns_pkey |
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| Owner | public |
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| isFinalSpecialization: | 0 |


--- layout: page title: Rulesets permalink: /rules/1-rulesets ---
Speccy ships with two rulesets, default
and strict
. These rulesets can be invoked with `--rules=`, and of course `default` is used by default. You can also create your own custom rulesets.
Remember, linting is more than validaiton, so these rules will do more than simply make sure your files are valid. They'll make your specs better than valid, they'll make them useful.
You can also create your own rulesets with a simple `.yaml` file.


The 2020s and the Post-Office World
I moved to the Bay Area 6 years ago after stubbornly refusing to for over a decade before because I wanted to be in the middle of the world of software. 2020 made some of that luster wear off.
Our office closed at the end of March, 2020, for what was scheduled to be 2 months, which eventually stretched out into over 6 months, until finally we were told to clean off our desks by Thanksgiving as we were permanently remote.
I did poorly doing remote work in 2012 when I first tried it and didn’t look forward to doing it again. A big part of my day was framed around a commute, a large part of my productivity are 3 minute snippets of conversation with random people on the elevator to get an idea for what I could provide my coworkers, the majority of my socialization is in the context of work, and a large part of my sanity was my enthusiasm for figuring out byzantine ways to get around solely by public transit.
Working from home has been varied as I adjust to it and go through cycles of acceptance, as well as the variance in the openness of the Bay Area. At one point places were open, which was great, and appointment based, which was even better because there was limited admittance and things were empty enough to appreciate in a way we hadn’t before. The SF and Oakland Zoos, 2 of my kid’s favorite places, were noticeably better experiences until they locked down and shut again.
Now that I’m adjusting to working from home I am noting probably the same things everyone else is: that work/home boundaries are hard, that having a dedicated workspace is essential, and keeping a routine with good sleep hygiene is absolutely paramount to not breaking down.
A benefit of the events of 2020 was that I lost over 40 pounds – no more being too tired to cook 3 nights a week and ordering out. No more eating a $20 lunch in the Financial District at a restaurant every day. No more cocktails on Fridays.
Another benefit was saving money – hundreds of dollars a month in eating out, hundreds of dollars in gas, hundreds of dollars on my Clipper card, hundreds of dollars in things like movie tickets and indoor playground fees. With that we were able to save more aggressively, and with our extra time able to do paperwork and visit house showings, so we were able to pounce and buy a home.
I was a little reluctant to buy a home in the Bay Area initially because “everyone is leaving,” but exoduses have happened here before and I honestly don’t anticipate things will stay like this forever, at the worst we’ll have to wait a decade. Our lifestyles won’t go entirely back to 2019, but people like living in cities and having interesting things to do nearby, and I’m sure even if the lucky Millennials who can afford it are permanently committing to the suburbs the next generation will cycle back and flock back to major cities and their surroundings.
My new office is my garage – we’re going to put in the money to turn it into a mock office, complete with a sealed “phone booth” room and cubicle-like partitions. Right now, it’s just a garage with a couple of desks that I share with the Christmas decorations, but it’s somewhere where my work life is separate from my home life.
It’s been weird, but it’s been weird for everyone.
Update 2021-02-10 This essay by Paul Ford covers a lot of my thinking about the office, too.
Update 2021-03-27 This tweet


Aspect Based Sentiment Analysis (ABSA) Solution¶
Overview¶
Aspect Based Sentiment Analysis is the task of co-extracting opinion terms and aspect terms (opinion targets) and the relations between them in a given corpus.
Solution overview¶
The solution flow includes three stages: first, it generates domain-specific aspect and opinion lexicons based on an unlabeled dataset; second, it enables the user to view and edit those lexicons; and finally, it enables the user to select an unlabeled target dataset from the same domain, classify it, and generate an aspect-based sentiment report.
For lexicon extraction, the solution calls the training step of NLP Architect’s ABSA training, whereas for sentiment classification, the solution calls NLP Architect’s ABSA inference. For more details see ABSA.
Solution execution¶
All three stages of the solution are end-to-end executed by a dedicated UI.
An example for running the UI is available at examples/absa/solution/absa_solution.py
.
Install solution extra packages:
pip install -r solutions/absa_solution/requirements.txt
python3 examples/absa/solution/absa_solution.py
Flow¶
Workflow and UI¶
Figure 1: The solution’s UI.
Following is a description of the 3 steps of the solution operation:
Step 1: The first step of the flow is to select an input dataset for lexicon extraction, performed by
clicking the ‘Extract lexicons’ button shown in Figure 1. Once a dataset* is selected, the system
performs the lexicon extraction process. Note that, this step can be skipped, in case the user
already has aspect and opinion lexicons. In order to load pre-trained aspect and opinion lexicons
select ‘Edit Lexicons’ -> ‘Load’ (figure 1).
For demonstration purposes, we provide pre-trained lexicons that are located at examples/aspects.csv
and examples/opinion.csv
We also provide, a sample dataset** for lexicon extraction, at datasets/absa/tripadvisor_co_uk-travel_restaurant_reviews_sample_2000_train.csv
.
Step 2: The user can choose to edit an aspect lexicon or an opinion lexicon that were generated in the previous step by selecting the ‘Aspect Lexicon’ or ‘it Opinion Lexicon’ tab (see figure 1). As shown in Figure 1, in which the ‘Aspect Lexicon’ has been selected, the ‘Term’ column displays the aspect terms while the ‘Alias1-3’ columns display aspect terms that have the same semantic meaning. Upon selecting a specific aspect, the ‘Examples’ view on the right-hand side, displays text snippets from the input dataset that include this term (highlighted in blue). the user can delete (by unchecking the term’s checkbox), add or modify the lexicon items. The opinion lexicon editor (not shown) functions similarly to the aspect lexicon editor except that it includes a ‘Polarity’ column and a ‘Score’ column. Both the polarity and the score can be edited by the user.
Step 3: A target dataset* and its classification are performed by clicking the ‘Classify’ button in
Figure 1. Once the dataset is selected the system starts the sentiment classification process and
generates visualization of the sentiment analysis results under the ‘Analysis’ tab (figure 2).
For demonstration purposes we provide a sample classification dataset**, located at datasets/absa/tripadvisor_co_uk-travel_restaurant_reviews_sample_2000_test.csv
.
* The format of the input dataset to steps 1 and 3 is a single raw text file with documents separated by newlines or a single csv file containing one doc per line or a directory containing one raw text file per document or a directory that includes parsed text files.
** Restaurants reviews from tripadvisor.co.uk under the Creative Commons Attribution-Share-Alike 3.0 License (Copyright 2018 Wikimedia Foundation).
Figure 2. Results visualization: Top: bar-chart that displays the amount of positive and negative sentiment towards each aspect. Bottom: textual table that displays (upon clicking a specific aspect on the bar chart) sentences that include positive/negative sentiment towards that specific aspect. Aspect terms are colored in blue and opinion terms are colored in green/red:


Dynamic text is used to display data from another source, data base for example. It's defined by DataStream and Column.
To create Dynamic text, select it from object tool bar like shown in picture below. Then place it on page in desired location inside of container (Static or Dynamic balloon)
To change specific properties for Dynamic text, select it on page like shown in picture below.
Specific properties for Dynamic text are:
ForeColor, color of the text.
Font, name and size of the font used to display text.
SourceDataStream, DataStream name used to identify extern text.
SourceColumn, Column name used to identify extern text.


Properties
Static EFFECT_ADD_BUFF
EFFECT_ADD_BUFF: number
Static EFFECT_ADD_DEBUFF
EFFECT_ADD_DEBUFF: number
Static EFFECT_ADD_STATE
EFFECT_ADD_STATE: number
Static EFFECT_COMMON_EVENT
EFFECT_COMMON_EVENT: number
Static EFFECT_GAIN_TP
EFFECT_GAIN_TP: number
Static EFFECT_GROW
EFFECT_GROW: number
Static EFFECT_LEARN_SKILL
EFFECT_LEARN_SKILL: number
Static EFFECT_RECOVER_HP
EFFECT_RECOVER_HP: number
Static EFFECT_RECOVER_MP
EFFECT_RECOVER_MP: number
Static EFFECT_REMOVE_BUFF
EFFECT_REMOVE_BUFF: number
Static EFFECT_REMOVE_DEBUFF
EFFECT_REMOVE_DEBUFF: number
Static EFFECT_REMOVE_STATE
EFFECT_REMOVE_STATE: number
Static EFFECT_SPECIAL
EFFECT_SPECIAL: number
Static HITTYPE_CERTAIN
HITTYPE_CERTAIN: number
Static HITTYPE_MAGICAL
HITTYPE_MAGICAL: number
Static HITTYPE_PHYSICAL
HITTYPE_PHYSICAL: number
Static SPECIAL_EFFECT_ESCAPE
SPECIAL_EFFECT_ESCAPE: number
Game_Action The game object class representing a battle action.


I am a second year student from Prince of Songkla University, Phuket Campus
in the Bachelor Degree of Science in the Major of Software Engineering.
I am a self-motivated person who enjoy new challenges and working in fast-moving
environments which is suited to IT.
My goal is Web Developer and Web designer.
- Programming/Languages : Java; Javascript; C; PHP; SQL; HTML ;CSS
- Office Tools: MS Word, Excel, PowerPoint
- Operating Systems: Windows 7 up /Mac OS X
- Software : MySQL Workbench, Net Bean, Word Press, Edit Plus, Sublime Text
- Design Tools : Photoshop CC, Paint, Photo Scape
- Problem Solving Skill


D3:
Install live-server live reload capability
Simple line Graph in D3 version 3 and another similar example in D3 version 4
Multi-Series Line Chart in D3
A simple time series source code (taught in class) for Project 1
Enter(), Exit(), Update() D3 Tutorial
Source code for Wednesday Sep 21 (about Project 1)
Video for Monday Sep 26 (about Project 1)
© Last revised: Sep 17th, 2016


Pushover settings
Notification settings
Group Key
Group Key of Delivery Group
Token:
API Token/Key of Application
Title
default
pushover
bike
bugle
cashregister
classical
cosmic
falling
gamelan
incoming
intermission
magic
mechanical
pianobar
siren
spacealarm
tugboat
alien
climb
persistent
echo
updown
none
Sound
quiet
default
high-priority
Priority
notifications_active
Test


Established in May 1999
by famous spiritual and religious scholar Maulana Bashir Ahmed Farooqui, Saylani
Welfare International Trust was built on the fundamentals of breaking the cycle of poverty,
alleviating the financial
troubles of the poor, giving people a chance to live a dignified life and spreading happiness.
 We
endeavor to provide the best quality services in areas including food, education, medical and social
welfare free
of cost to people living in the dark. With over 60 different sectors, we feed thousands of hungry
people each day,
hundreds more are given the hope of life through medical health care, many are educated to become
leaders of
tomorrow and several are given the opportunity to stand on their feet financially.
Today, we are proud to say that our physical presence extends throughout Pakistan with a vast
network of 125
branches operating in major cities including Karachi, Lahore, Islamabad, Rawalpindi, Hyderabad and
Faisalabad. Apart from Pakistan, we have overseas offices in the UK, USA and UAE as well. Our
worldwide
branches are operating under the guidance of a team of over 2,000 working professionals who help
almost
125,000 people on a daily basis.
We strongly believe that a little help goes a long way and our work would not be possible without
the generous
support of our valuable donors. Our local and international donors have graciously lent us a hand by
supporting
our causes and enabling us to serve the needs of people in need.


Zappl allow users to upload photos, record video, upload past videos and more.
Keep up with all the latest post with the home feed and post feeds.
Zappl allows users to have access to your steem and sbd wallet at all times.Move funds and pay people on the go.
Zappl will be adding, text chat, audio chat, video chat which will allow group chats and will be encrypted.
Change nswf, voting weight, change password and more.
You can now search through all your steem followers with ease.


Salmon Cookies
| Location | 6:00 am | 7:00 am | 8:00 am | 9:00 am | 10:00 am | 11:00 am | 12:00 pm | 1:00 pm | 2:00 pm | 3:00 pm | 4:00 pm | 5:00 pm | 6:00 pm | 7:00 pm | 8:00 pm | Totals |
|---|
| Location | 6:00 am | 7:00 am | 8:00 am | 9:00 am | 10:00 am | 11:00 am | 12:00 pm | 1:00 pm | 2:00 pm | 3:00 pm | 4:00 pm | 5:00 pm | 6:00 pm | 7:00 pm | 8:00 pm | Totals |
|---|


DfE enquiries
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Press release
Jonathan Slater appointed as the new Permanent Secretary.
Jonathan Slater has been appointed as the new Permanent Secretary for the Department for Education. This follows the announcement that Chris Wormald will move from Education to become Permanent Secretary at the Department of Health .
Jonathan, who is currently Director General Economic and Domestic Affairs Secretariat at the Cabinet Office, was chosen following an open competition.
The appointment has been made by the Prime Minister in agreement with the Cabinet Secretary, Sir Jeremy Heywood, and Education Secretary Nicky Morgan. Jonathan will take up his post at the Department for Education on Tuesday 3 May.
The Cabinet Secretary, Sir Jeremy Heywood, said:
I will be sorry to see Jonathan leaving the Cabinet Office so soon. But he has a real passion for education and helping all children to fulfil their potential. I know he will do a great job at the Department for Education helping to support and deliver the government’s reform agenda. I wish him every success in building on the great work of Chris Wormald.
Education Secretary Nicky Morgan, said:
I’m delighted that Jonathan will be the new Permanent Secretary at the Department for Education.
As well as his experience at the Cabinet Office, Jonathan will bring invaluable expertise in leading major delivery programmes at both the Ministry of Justice and Ministry of Defence, as well as his background in local government. He is particularly well-placed to lead the department to deliver the next phase of our reforms to education and children’s social care, and I look forward to working closely with him.
It has been a pleasure to work with Chris Wormald during his tenure as Permanent Secretary here. I wish him all the best as he moves to the Department of Health.
Commenting on his new role, Jonathan Slater said:
It’s a tremendous honour to have been given the opportunity to lead this wonderful department, supporting Nicky Morgan and her ministerial teams in their efforts to give all of our children the very best education, protection and opportunity possible. And to drive a really ambitious equalities agenda right across government.
I’ve had a great time in the Cabinet Office, working with many brilliant people doing important work. But I can’t wait to get stuck in to my new role, and to start meeting my new talented and committed DfE colleagues and our many partners across the country.
Jonathan was appointed as Director General and Head of the Economic and Domestic Secretariat in October 2015, co-ordinating policy advice to the Prime Minister and the Cabinet. He is also responsible for the Implementation Unit and the operation of the Implementation Task Forces, which oversee delivering the government’s main priorities.
From July 2011, he was Director General of Head Office and Commissioning Services at the Ministry of Defence. He first led the Defence Reform programme and then oversaw the Head Office, Corporate Services, and the Defence Infrastructure Organisation.
Chris Wormald has been appointed Permanent Secretary of the Department of Health .
Central newsdesk 020 7783 8300
General enquiries 0370 000 2288
Published: 20 April 2016


Homepage
Images
Fan Art
Our Edits & Arts
Our Image Collection
Anime
Reviews
Our Amv's
Music List
Events
About Us
Our Social Networks
Join the community
Contact Us
Shonen Jump News Board


essential oil Lantana camara {border-style px;} #ffffff;} coli activity antibacterial aureus concentration leaves using Linn Staphylococcus px; strains used {font-family Bras antimicrobial font-size (MIC Table bacteria double; indices inhibitory multiresistant oils μg/ml) (.%) (.%), Farmacogn Lima Rev activities antibiotic bacterial border-color border-width effect microdilution solid; {font-style {font-weight (MIC) BHI Chemical Costa EOLc Escherichia MIC Pereira Silva aminoglycosides antibiotics bold composition constituents courier; drugs em; fresh germacrene identified modulatory pt;} resistance results retention species temperature


Pete Davidson had crush on Leonardo DiCaprio
Cape Town - Pete Davidson had a "huge crush" on Leonardo DiCaprio when he was younger, because he was a huge fan of the iconic star's work.
He even met the star a couple of times.
Despite his childhood crush, Pete identifies as straight, but is known for being an ally of the LGBT community.
Compiled by Graye Morkel


As part of our Code First Girls course we have started this project as we wanted to share some useful resources to pass the time and ease your mind during these difficult times.
Cooking
From pasta’s to healthy salad’s there are many recepies here for you to try with much free time at hand! They are easy and quick to stay healthy without taking too much time of your day.
Caring
Why is it so important to stay sane and exercise these days? Besides relaxation, it helps you decrease signs of stress and anxiety.
Reading
Our top selection of books to read at home and staying informed! While just enjoying an afternoon on the couch with a lovely coffee.


Find the Gin
One project completed was a text-based find-the-treasure-style game, in which you have woken up groggy and without your precious gin. You need your gin, dude.
A sample output of this game in the Console is as follows:
You awaken in a groggy haze. You have lost your gin. Try 'look'
look
Grey foggy clouds float oppressively close to you in the form of your responsibilities. The situation looks dire. You know that the only way to get over this groggy haze is to find your gin. You notice a small compass-like device on the floor. It has hands like a watch, but the hands don't seem to tell time. It is probably a compass. Use it to find your gin.
Move in a cardinal direction.
north
Distance: 4.1231055north
Distance: 5.0990195south
Distance: 4.1231055south
Distance: 3.1622777south
Distance: 2.236068south
Distance: 1.4142135south
Distance: 1.0east
Distance: 2.0west
Distance: 1.0west
You have found your Gin!
Click here to view the source code on GitHub.
Battleships
I didn't actually attempt this task, but if I had it would have been better than Adam's attempt.
You wouldn't use the Console in Eclipse. There would be GUIs and proper boats.


Reports addition operation applied to array.
Addition and 'array_merge(...)' have slightly different behaviours; read the documentation carefully before making this change.


Three Birmingham men arrested after smashing Audi windows in bid to steal car
The Audi S5 - worth upwards of £30,000 new - was parked on Hill Street in Rugeley, in Staffordshire
by James Rodger, Matt Jackson, https://www.facebook.com/jamesrodgerjournalistThree men - all from Birmingham - have been taken into custody by police.
Cops have apprehended the trio after they were spotted on a Staffordshire driveway having put through the windows of an Audi.
The Audi S5 - worth upwards of £30,000 new - was parked on Hill Street in Rugeley, in Staffordshire.
The men smashed the glass in the early hours of the morning yesterday (November 12), reports StokeonTrentLive .
Officers from the Staffordshire Police Response team later stopped a car on Rugeley Road in Armitage and three men - all from Birmingham - were taken into custody.
A Staffordshire Police spokesman said: "Officers were called at 2am to reports that three men were attempting to steal an Audi from a driveway and had smashed the window to gain access to the vehicle.
"A 42-year-old and two 19-year-olds, all from Birmingham, were taken into custody after a vehicle was stopped on Rugeley Road in Armitage."
Anyone with any information is asked to contact Staffordshire Police quoting incident 26 of November 12.
This can be done via:
Facebook – sending a private message to the Staffordshire Police page
• Twitter – sending a direct message to the police account @StaffsPolice
• Website – report a crime via the police website here
• Phone – call on 101
Independent crime-fighting charity Crimestoppers can also be contacted anonymously on 0800 555 111.


Task
You have content for a news article and a composed list of related media components, such as images and videos. Your task is to edit the article layout using one or more of the media components.
Please note that the finished article will be shown in a responsive context. The editor is merely a visualisation of the article structure and should not be considered as a preview.


If you'd like to sponsor the one-eighty project and help us provide a second chance to those that need it most, sign up below.
For prisons or correctional facilities that want to get involved, we'd love for you to get on board, just send over an e-mail and we'll set things up!
Support inmates and give them with a second chance - provide them with real world experience and have projects within your organisation completed.
Gain knowledge, experience and build a positive reputation. Complete a wide range of courses and develop your skills by working alongside companies and their projects.
A unique rehabilitation program providing inmates with the skills of the modern world. Equip them with the expertise that will give them that extra edge when they integrate into society.


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---
title: Home
description: >-
A day of conferences dedicated to web performance. Metrics, UX, code and image optimizations. Come and meet the experts!
i18n-key: 2023-home
permalink: /en/2023/
---
{% assign year = page.year | default: site.current_edition %}
{%- if site.cfp_open -%}
{%- endif -%}
{% if site.current_edition == year and site.infos.interventions %}
{% endif %}
{% if site.current_edition == year and site.infos.schedule %}
{% endif %}
{%- comment -%}
{%- endcomment -%}
{%- comment -%}
{%- endcomment -%}
{% if site.current_edition != page.year %}
{% else %}
{% if site.tickets.selling %}
{% endif %}
{% endif %}
Thank you for coming, videos and slides are coming very soon!
Subscribe our newsletter to receive information about the event.
{% include newsletter-form.html context="main" %}Created in 2018 by and for the webperf community, the "{{ site.title }}" not-for-profit conference is born from the desire to share as widely as possible knowledge and experience about webperf. Web professionals, e-commerce and webperf experts, this event is for you!
We expect up to 250 participants, including executives, developers, enthusiasts and experts in web performance, as every year. But in 2023, we want to contribute even more to the democratization of web performance.
Therefore, for this edition, we aim at a more heterogeneous audience, including profiles such as Chief Digital Officer, e-commerce, marketing or SEO. We will select conferences adapted to all sensibilities. There will be something for everyone!


We exchange platforms!
- synthesize robust initiatives
- reintermediate wireless e-commerce
- iterate B2B web-readiness
- productize world-class schemas
- revolutionize end-to-end infomediaries
- disintermediate B2B bandwidth
- strategize customized vortals
- monetize seamless architectures
- enhance viral ROI
- enable 24/7 communities
- drive extensible web-readiness
- seize integrated methodologies
- harness distributed functionalities
- maximize customized experiences


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Crooner Bong Crisby went widdershins round the kirk. Three times he did it, in fog, mist, and murk. He had not read his M R James, or so his weeping widow claims. He vanished off the earth and has no tomb. I hear his golden crooning in my living room. It issues from the walls, all day and all night, crooning, pleading for his widow's mite.


public class StampedLock extends Object implements Serializable
writeLock()
possibly blocks
waiting for exclusive access, returning a stamp that can be used
in method unlockWrite(long)
to release the lock. Untimed and
timed versions of tryWriteLock
are also provided. When
the lock is held in write mode, no read locks may be obtained,
and all optimistic read validations will fail. readLock()
possibly blocks
waiting for non-exclusive access, returning a stamp that can be
used in method unlockRead(long)
to release the lock. Untimed
and timed versions of tryReadLock
are also provided. tryOptimisticRead()
returns a non-zero stamp only if the lock is not currently held
in write mode. Method validate(long)
returns true if the lock
has not been acquired in write mode since obtaining a given
stamp. This mode can be thought of as an extremely weak version
of a read-lock, that can be broken by a writer at any time. The
use of optimistic mode for short read-only code segments often
reduces contention and improves throughput. However, its use is
inherently fragile. Optimistic read sections should only read
fields and hold them in local variables for later use after
validation. Fields read while in optimistic mode may be wildly
inconsistent, so usage applies only when you are familiar enough
with data representations to check consistency and/or repeatedly
invoke method validate()
. For example, such steps are
typically required when first reading an object or array
reference, and then accessing one of its fields, elements or
methods. This class also supports methods that conditionally provide
conversions across the three modes. For example, method tryConvertToWriteLock(long)
attempts to "upgrade" a mode, returning
a valid write stamp if (1) already in writing mode (2) in reading
mode and there are no other readers or (3) in optimistic mode and
the lock is available. The forms of these methods are designed to
help reduce some of the code bloat that otherwise occurs in
retry-based designs.
StampedLocks are designed for use as internal utilities in the development of thread-safe components. Their use relies on knowledge of the internal properties of the data, objects, and methods they are protecting. They are not reentrant, so locked bodies should not call other unknown methods that may try to re-acquire locks (although you may pass a stamp to other methods that can use or convert it). The use of read lock modes relies on the associated code sections being side-effect-free. Unvalidated optimistic read sections cannot call methods that are not known to tolerate potential inconsistencies. Stamps use finite representations, and are not cryptographically secure (i.e., a valid stamp may be guessable). Stamp values may recycle after (no sooner than) one year of continuous operation. A stamp held without use or validation for longer than this period may fail to validate correctly. StampedLocks are serializable, but always deserialize into initial unlocked state, so they are not useful for remote locking.
The scheduling policy of StampedLock does not consistently prefer readers over writers or vice versa. All "try" methods are best-effort and do not necessarily conform to any scheduling or fairness policy. A zero return from any "try" method for acquiring or converting locks does not carry any information about the state of the lock; a subsequent invocation may succeed.
Because it supports coordinated usage across multiple lock
modes, this class does not directly implement the Lock
or
ReadWriteLock
interfaces. However, a StampedLock may be
viewed asReadLock()
, asWriteLock()
, or asReadWriteLock()
in applications requiring only the associated
set of functionality.
Sample Usage. The following illustrates some usage idioms
in a class that maintains simple two-dimensional points. The sample
code illustrates some try/catch conventions even though they are
not strictly needed here because no exceptions can occur in their
bodies.
class Point {
private double x, y;
private final StampedLock sl = new StampedLock();
void move(double deltaX, double deltaY) { // an exclusively locked method
long stamp = sl.writeLock();
try {
x += deltaX;
y += deltaY;
} finally {
sl.unlockWrite(stamp);
}
}
double distanceFromOrigin() { // A read-only method
long stamp = sl.tryOptimisticRead();
double currentX = x, currentY = y;
if (!sl.validate(stamp)) {
stamp = sl.readLock();
try {
currentX = x;
currentY = y;
} finally {
sl.unlockRead(stamp);
}
}
return Math.sqrt(currentX * currentX + currentY * currentY);
}
void moveIfAtOrigin(double newX, double newY) { // upgrade
// Could instead start with optimistic, not read mode
long stamp = sl.readLock();
try {
while (x == 0.0 && y == 0.0) {
long ws = sl.tryConvertToWriteLock(stamp);
if (ws != 0L) {
stamp = ws;
x = newX;
y = newY;
break;
}
else {
sl.unlockRead(stamp);
stamp = sl.writeLock();
}
}
} finally {
sl.unlock(stamp);
}
}
}
| Constructor and Description |
|---|
StampedLock()
Creates a new lock, initially in unlocked state.
|
| Modifier and Type | Method and Description |
|---|---|
Lock |
asReadLock()
Returns a plain
Lock view of this StampedLock in which
the Lock.lock() method is mapped to readLock() ,
and similarly for other methods. |
ReadWriteLock |
asReadWriteLock()
Returns a
ReadWriteLock view of this StampedLock in
which the ReadWriteLock.readLock() method is mapped to
asReadLock() , and ReadWriteLock.writeLock() to
asWriteLock() . |
Lock |
asWriteLock()
Returns a plain
Lock view of this StampedLock in which
the Lock.lock() method is mapped to writeLock() ,
and similarly for other methods. |
int |
getReadLockCount()
Queries the number of read locks held for this lock.
|
boolean |
isReadLocked()
Returns
true if the lock is currently held non-exclusively. |
boolean |
isWriteLocked()
Returns
true if the lock is currently held exclusively. |
long |
readLock()
Non-exclusively acquires the lock, blocking if necessary
until available.
|
long |
readLockInterruptibly()
Non-exclusively acquires the lock, blocking if necessary
until available or the current thread is interrupted.
|
String |
toString()
Returns a string identifying this lock, as well as its lock
state.
|
long |
tryConvertToOptimisticRead(long stamp)
If the lock state matches the given stamp then, if the stamp
represents holding a lock, releases it and returns an
observation stamp.
|
long |
tryConvertToReadLock(long stamp)
If the lock state matches the given stamp, performs one of
the following actions.
|
long |
tryConvertToWriteLock(long stamp)
If the lock state matches the given stamp, performs one of
the following actions.
|
long |
tryOptimisticRead()
Returns a stamp that can later be validated, or zero
if exclusively locked.
|
long |
tryReadLock()
Non-exclusively acquires the lock if it is immediately available.
|
long |
tryReadLock(long time,
TimeUnit unit)
Non-exclusively acquires the lock if it is available within the
given time and the current thread has not been interrupted.
|
boolean |
tryUnlockRead()
Releases one hold of the read lock if it is held, without
requiring a stamp value.
|
boolean |
tryUnlockWrite()
Releases the write lock if it is held, without requiring a
stamp value.
|
long |
tryWriteLock()
Exclusively acquires the lock if it is immediately available.
|
long |
tryWriteLock(long time,
TimeUnit unit)
Exclusively acquires the lock if it is available within the
given time and the current thread has not been interrupted.
|
void |
unlock(long stamp)
If the lock state matches the given stamp, releases the
corresponding mode of the lock.
|
void |
unlockRead(long stamp)
If the lock state matches the given stamp, releases the
non-exclusive lock.
|
void |
unlockWrite(long stamp)
If the lock state matches the given stamp, releases the
exclusive lock.
|
boolean |
validate(long stamp)
Returns true if the lock has not been exclusively acquired
since issuance of the given stamp.
|
long |
writeLock()
Exclusively acquires the lock, blocking if necessary
until available.
|
long |
writeLockInterruptibly()
Exclusively acquires the lock, blocking if necessary
until available or the current thread is interrupted.
|
public StampedLock()
public long writeLock()
public long tryWriteLock()
public long tryWriteLock(long time, TimeUnit unit) throws InterruptedException
Lock.tryLock(long,TimeUnit)
.time
- the maximum time to wait for the lockunit
- the time unit of the time
argumentInterruptedException
- if the current thread is interrupted
before acquiring the lockpublic long writeLockInterruptibly() throws InterruptedException
Lock.lockInterruptibly()
.InterruptedException
- if the current thread is interrupted
before acquiring the lockpublic long readLock()
public long tryReadLock()
public long tryReadLock(long time, TimeUnit unit) throws InterruptedException
Lock.tryLock(long,TimeUnit)
.time
- the maximum time to wait for the lockunit
- the time unit of the time
argumentInterruptedException
- if the current thread is interrupted
before acquiring the lockpublic long readLockInterruptibly() throws InterruptedException
Lock.lockInterruptibly()
.InterruptedException
- if the current thread is interrupted
before acquiring the lockpublic long tryOptimisticRead()
public boolean validate(long stamp)
tryOptimisticRead()
or a locking method
for this lock has no defined effect or result.stamp
- a stamptrue
if the lock has not been exclusively acquired
since issuance of the given stamp; else falsepublic void unlockWrite(long stamp)
stamp
- a stamp returned by a write-lock operationIllegalMonitorStateException
- if the stamp does
not match the current state of this lockpublic void unlockRead(long stamp)
stamp
- a stamp returned by a read-lock operationIllegalMonitorStateException
- if the stamp does
not match the current state of this lockpublic void unlock(long stamp)
stamp
- a stamp returned by a lock operationIllegalMonitorStateException
- if the stamp does
not match the current state of this lockpublic long tryConvertToWriteLock(long stamp)
stamp
- a stamppublic long tryConvertToReadLock(long stamp)
stamp
- a stamppublic long tryConvertToOptimisticRead(long stamp)
stamp
- a stamppublic boolean tryUnlockWrite()
true
if the lock was held, else falsepublic boolean tryUnlockRead()
true
if the read lock was held, else falsepublic boolean isWriteLocked()
true
if the lock is currently held exclusively.true
if the lock is currently held exclusivelypublic boolean isReadLocked()
true
if the lock is currently held non-exclusively.true
if the lock is currently held non-exclusivelypublic int getReadLockCount()
public String toString()
"Unlocked"
or the String "Write-locked"
or the String
"Read-locks:"
followed by the current number of
read-locks held.public Lock asReadLock()
Lock
view of this StampedLock in which
the Lock.lock()
method is mapped to readLock()
,
and similarly for other methods. The returned Lock does not
support a Condition
; method Lock.newCondition()
throws UnsupportedOperationException
.public Lock asWriteLock()
Lock
view of this StampedLock in which
the Lock.lock()
method is mapped to writeLock()
,
and similarly for other methods. The returned Lock does not
support a Condition
; method Lock.newCondition()
throws UnsupportedOperationException
.public ReadWriteLock asReadWriteLock()
ReadWriteLock
view of this StampedLock in
which the ReadWriteLock.readLock()
method is mapped to
asReadLock()
, and ReadWriteLock.writeLock()
to
asWriteLock()
.Dracula Javadoc Sample, Made with Allan Im.


Design Team 0 Slides
Eric Bridgeford, Albert Lee, Eric Walker
FNGS pipeline leg overview
Eric Bridgeford
Week's Accomplishments
- Massive memory issue fixed
- Multivariate GMM exploration
- Lots of analyzed graphs/mnr statistics
- Redid all memory-related code to reflect more consistent understanding of analysis
Memory Related issue
- Problem: running large scale analysis was leading to HUGE memory problems
- Python fails to effectively clean itself up when dealing with very large jobs
- Never became a problem previously, because Greg uses bash scripts (termination at python session conclusion automatically frees memory)
- Primary offender: matplotlib leaves artifacts ALL OVER THE PLACE
- If anybody has memory issues relating to python scripts, I spent a long time debugging and can help ffr
Solving Memory Issues
- Multiprocessing module in python
- Allows for creation of external sessions for individual function calls, perfect for our usage
- IE, spawn individual sessions that automatically free their own memory at termination, instead of crappy python garbage collector
Serial Performance
- Running jobs serially leads to consistent memory usage (3 subjects run serially here)
Trivial to Upscale
- running jobs in parallel (30 scans shown here), can easily just spawn processes and stagger
- Could write something to automatically do this very simply
New Data analyzed
- Data analyzed with the version of the pipeline shown 2 weeks ago
- Comparisons are to same pipeline, without linear and quadratic drift removal (top) and with (bottom)
NKI, desikan
BNU1, desikan
BNU2, desikan
DC1, desikan
HNU1, desikan
Atlas Choice
Comments
- Pipeline looks awesome; mnrs are consistently great
- Benchmark against CPAC head to head this week for benchmark datasets?
- Direct comparison of mnrs, graphs produced, and memory information/runtime
This week
Link to R Markdown PDF summary (repo private, so cannot link directly)
Things to do this week
- finish fMRI variance repo
- write my own GMM code and test
- Do lots of ML tutorials
vitami
- use EM for estimating covariance matrices of sources for conditions given our input vec
- studying for GREs
Univariate Kalman Filter and Smoother
Eric Walker
This week
Link to R Markdown
Javascript Image Analysis
Albert Lee
Accomplished this week
- Developed code to test histogram equalization of slice by slice (useless as I'll explain later)
- Developed new sampling method that doesn't require the Clarity API
- Developed Code to sum the histograms of a 3D cube based off of Alex's code
- Tested different subsamples and subsampling methods
- Tested IBM Watson visualization
- Created NeuroCV github repo
Iterative Histograms
- Last week I found the histogram equalization of each slice and combined the slices
- This is improper technique as we are trying to find the histogram equalization of the whole volume not separate slices
- Iterative histograms is a different technique where you find the array dimensions and iteratively add the histograms accross the x y z axis
Challenges
- Iterative histograms are even more GPU intensive than slice by slice equalization
- Wasted a lot of time trying to downsample data to run the code on my 3GB laptop
- Clarity API and other packages difficult to install on linux
- A deeply subsampled (9, 6, 11) cube took several hours to process with Cortex's 18GB RAM
Challenges part 2
- After sampling an memap is created - this means nibabel is rendered useless for manipulations and I cannot convert back to .nii
- Due to my lack of understanding of interpolation my code might be deeply flawed
- Tried some manipulations with the Clarity API specifically with trying to turn the sampled array from into a nibabel friendly form however because nifti format is rather finicky when converting from array to nifti (at least with nibabel)
- In process of investigating alternative python based nifti image manipulation suites
Sampling Methods
- Random sampling with number generator (unreliable and ultimately uninformative)
- Proportional representation based on bin numbers (Difficult to implement in practice)
- Interpolation based estimation (Best method)
- Important consideration - Level 5 downsampling represents the greatest downsampled data available on the Neurodata server, additional downsamples are thus inherently unreliable
Interpolation based estimation
- Interpolation is the art of constructing new data points within a discrete range
- A very crude definition is "curve fitting" based on simple functions
- Similar to regression there is linear, exponential, etc.
- Experimented around however due to the lack of availability of a "check" model, I just chose to go with linear interpolation because it's the fastest
Interpolation based estimations pt 2
- What is the difference between sampling using interpolation of the zoom of an N size matrix and a simple downcale of the local mean
- Does higher order interpolation matter for our case
Logic of iterated histograms
- Take cube of data
- Find the dimensions thus creating your range parameters
- Sample using linear interpolation
- Over the sampled dimensions find the non zero points and iteratively add the histograms
- Construct the iterated histogram
- Normalize using basic histogram normalization
Issues still in the progress
- My method of converting back to a form involves creating an array of zeros based on the histogram of the data
- Next I use 32 as the bin size and divide each cell of the histogram by the hist_sum value
- I save the result as a csv file - however since I converted the 3D array into what is essentially a 2D representation of the histogram how do I convert back to either a 3D form
Steps taken to solve these problems
- Contacted the major clusters on campus - IDIES, MARCC, HPCC and asked if I could use a node of their cluster for free - No
- Constructed a small 3D array and tried the manipulations I was using - currently using results to help me debug
- Concern: Even a 2x2x2 (smallest reasonable volume) requires several hours to process
- Write it in C code? - probably not best use
NeuroCV Repo
- Stored Histogram equalization notes and all the various histogram equalization methods I've tested
- A lot of code is not included because it requires nifti raw data files which Github does not provide space for - I'll create pointers using Git lfs, but my cortex account has all the necessary files as well
- Jupyter notebook is partially filled out, but I need to figure out how to outsource the code - is there a nohup command for jupyter notebook? (To avoid hogging cortex for 12+ hours)
Next week
- Find way to prove my histogram equalization works - Problem: There are no 3D examples of histogram equalization on the web so difficult to prove
- Find way to improve processing time
- Ask Jovo for more stuff


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Note: You can select a file from the Elements or Results column, just as you would another entity type. Viewing the instances of a file, however, differs from viewing the instances of other entity types. When you select one or more files for instance viewing, the resulting information comprises all instances of all entities contained within the files. For all other entity types, the results are a list of all occurrences of the selected entities.
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VIDEO FEATURES
Just like the audio there are also features which make video play more awesome.
- controls-this activates controls like play,pause,e.t.c.(< video controls>)
- autoplay-this allows the video play when ready without the user clicking on play.(< video controls autoplay>)
- autoplay loop- this makes the video replay when it ends.(< video controls autoplay loop>)
<--
-->


--- layout: home title: 'Deploy Meteor apps' description: 'Production Quality Meteor Deployment to Anywhere.' ---
Meteor Up can install all of it's dependencies on the servers and prepare them for deployments.
Meteor up can setup Let's Encrypt to create free certificates automatically. It also supports using your custom certificates.
View logs from the terminal, with log tailing and following supported.
Meteor Up verifies that the app sucessfully started, and rolls back to the previous version if it failed.


Neymar In Hot Water Again At PSG
by SL InternationalBrazil superstar Neymar has found himself in hot water again after his latest actions angered Paris Saint-Germain coach Thomas Tuchel.
Read: World's Richest Club Revealed, Real Dethroned
Neymar, who has been sidelined with a hamstring injury since October, upset PSG officials during the international break when he made an unscheduled visit to Madrid, Spain, after being invited to the Davis Cup by former FC Barcelona teammate Gerard Pique.
PSG manager Tuchel has since revealed that he is upset about the Brazil international's actions, but added that his and the team's priority remain focused on their upcoming fixtures, in which Neymar could make his return.
"What can I do? I'm not his father. I'm not the police. I'm the coach," Tuchel said, as reported by Sky Sports.
"As a coach, am I happy with this trip? No, not at all, it's clear. Is this the time to get mad? No, no, it's not the moment. He was very professional here for two weeks. He did more than the others.
Earn Airtime & Data With Soccer Laduma's Social Media App - Download Now
"He has trained with the group, he has individual work. And if everything goes well, he can play tomorrow (Friday). We have to decide if he will start the game or be a substitute.
"He will bring his quality and be decisive. If he plays for us, we are more dangerous in front of goal and he is a decisive player. He gives this for the team and it's necessary if we want to keep winning."
Neymar has been a controversial figure in Paris since arriving from Barca in 2017 for a world record fee of €222 million (R3.6 billion), and alienated him from sections of the fanbase after publicly courting a return to the LaLiga giants at the start of the season.
Click through the gallery below to see the world's most expensive footballers:
The former Santos prodigy had scored four goals in five appearances for the Parisians this season before being sidelined by injury during the October international break.


Class to refer to XML Document nodes in the DOM
Constructors and assignment operators
| |||||||||||||||||||||||||||||||
Destructor
| |||||||||||||||||||||||||||||||
Factory methods to create new nodes for the Document
| |||||||||||||||||||||||||||||||
Functions introduced in DOM Level 2.
| |||||||||||||||||||||||||||||||
Getter functions
|
Cloning function.
Destructor.
Equality and Inequality operators.
Functions to modify the DOM Node.
newChild
before the existing child node
refChild
oldChild
with newChild
in the list of children, and returns the oldChild
node
oldChild
from the list
of children, and returns it
newChild
to the end of the list of children of
this node
Get functions.
NodeList
that contains all children of this node
NamedNodeMap
containing the attributes of this node (if it
is an Element
) or null
otherwise
DOM_Document
object associated with this node
Query functions.
Set functions.
Class to refer to XML Document nodes in the DOM. Conceptually, a DOM document node is the root of the document tree, and provides the primary access to the document's data.Since elements, text nodes, comments, processing instructions, etc. cannot exist outside the context of a
Document
, theDocument
interface also contains the factory methods needed to create these objects. TheNode
objects created have aownerDocument
attribute which associates them with theDocument
within whose context they were created.
DOM_Document::createDocument().
DOM_Document
that refers to the
same underlying actual document as the original.
The reference counting memory management will delete the underlying document itself if this DOM_Document is the last remaining to refer to the Document, and if there are no remaining references to any of the nodes within the document tree. If other live references do remain, the underlying document itself remains also.
DOM_Document
default
constructor, which creates
a null reference only, not an actual document.
This function is an extension to the DOM API, which lacks any mechanism for the creation of new documents.
DOM_Document
, which may then
be populated using the DOM API calls.
"Experimental - subject to change"
"Experimental - subject to change"DOM_Element
that reference the new element.
DOM_Element
object with the nodeName
attribute set to
tagName
, and localName
,
prefix
, and namespaceURI
set to
null
.
DOM_DocumentFragment
that references the newly
created document fragment.
DOM_Text
object that references the newly
created text node.
DOM_Comment
that references the newly
created comment node.
DOM_CDATASection
object.
DOM_CDATASection
contents.
DOM_DocumentType
that references the newly
created DocumentType node.
DOM_Notation
that references the newly
created Notation node.
DOM_ProcessingInstruction
that references the newly
created PI node.
data - The data for the node.
Attr
instance can then be attached to an Element
using the DOMElement::setAttribute()
method.
DOM_Attr
object with the nodeName
attribute set to
name
, and localName
, prefix
,
and namespaceURI
set to
null
.
DOM_EntityReference
that references the newly
created EntityReference node.
DocumentTraversal.createNodeIterator()
.
To produce a view of the document that has entity references expanded and does not
expose the entity reference node itself, use the whatToShow
flags to hide the entity
reference node and set expandEntityReferences to true when creating the iterator. To
produce a view of the document that has entity reference nodes but no entity expansion,
use the whatToShow
flags to show the entity reference node and set
expandEntityReferences to false.
whatToShow - This attribute determines which node types are presented via the iterator.
filter - The filter used to screen nodes
entityReferenceExpansion - The value of this flag determines whether the children of entity reference nodes are
visible to the iterator. If false, they will be skipped over.expandEntityReferences
to
true when creating the TreeWalker. To produce a view of the document
that has entity reference nodes but no entity expansion, use the
whatToShow
flags to show the entity reference node and set
expandEntityReferences
to false
whatToShow - This attribute determines which node types are presented via the tree-walker.
filter - The filter used to screen nodes
entityReferenceExpansion - The value of this flag determines whether the children of entity reference nodes are
visible to the tree-walker. If false, they will be skipped over.
DOM_DocumentType
) associated
with this document.
For documents without
a document type declaration this returns null
reference object. The DOM Level
1 does not support editing the Document Type Declaration, therefore
docType
cannot be altered in any way.
DOMImplementation
object that handles this document
DOM_NodeList
of all the elements with a
given tag name. The returned node list is "live", in that changes
to the document tree made after a nodelist was initially
returned will be immediately reflected in the node list.
The elements in the node list are ordered in the same order in which they
would be encountered in a
preorder traversal of the Document
tree.
Element
s.
parentNode
is
null
). The source node is not altered or removed from the
original document; this method creates a new copy of the source
node.nodeName
and nodeType
, plus the
attributes related to namespaces (prefix and namespaces URI).
"Experimental - subject to change"
DOM_Document
.
true
, recursively import the subtree under the
specified node; if false
, import only the node itself,
as explained above. This does not apply to DOM_Attr
,
DOM_EntityReference
, and DOM_Notation
nodes.
"Experimental - subject to change"
"Experimental - subject to change"
"Experimental - subject to change"
Note: The DOM implementation must have information that says
which attributes are of type ID. Attributes with the name "ID" are not of
type ID unless so defined. Implementations that do not know whether
attributes are of type ID or not are expected to return
"Experimental - subject to change"
NAMESPACE_ERR: Raised if the qualifiedName
is
malformed, if the qualifiedName
has a prefix and the
namespaceURI
is null
or an empty string,
or if the qualifiedName
has a prefix that is "xml" and
the namespaceURI
is different from
"http: DOM_Element
object.
qualifiedName - The qualified name
of the element type to instantiate.
NAMESPACE_ERR: Raised if the qualifiedName
is
malformed, if the qualifiedName
has a prefix and the
namespaceURI
is null
or an empty string,
if the qualifiedName
has a prefix that is "xml" and the
namespaceURI
is different from
"http: * qualifiedName
has a prefix that is "xmlns" and the
namespaceURI
is different from
"http: * qualifiedName
is "xmlns" and the
namespaceURI
is different from
"http: DOM_Attr
object.
qualifiedName - The qualified name
of the attribute to instantiate.
DOM_NodeList
of all the DOM_Element
s
with a given local name and
namespace URI in the order in which they would be encountered in a
preorder traversal of the DOM_Document
tree.
DOM_NodeList
object containing all the matched
DOM_Element
s.
localName - The local name of the
elements to match on. The special value "*" matches all local names.
DOM_Element
whose ID is given by elementId
.
If no such element exists, returns null
.
Behavior is not defined if more than one element has this ID
.
null
.id
value for an element.
alphabetic index hierarchy of classes
|
Xerces-C XML Parser for C++ Version 1.1 |
|
|
generated by doc++


RIPE A film review by James Berardinelli Copyright 1997 James Berardinelli
RATING (0 TO 10): 6.0 Alternative Scale: **1/2 out of ****
United States, 1996 U.S. Release Date: beginning 6/11/97 (limited) Running Length: 1:34 MPAA Classification: No MPAA Rating (Sexual situations, profanity, violence) Theatrical Aspect Ratio: 1.85:1
Cast: Monica Keena, Daisy Eagan, Gordon Currie, Ron Brice Director: Mo Ogrodnik Producer: Suzy Landa Screenplay: Mo Ogrodnik Cinematography: Wolfgang Held Music: Anton Sanko U.S. Distributor: Trimark Pictures
I'm having a hard time deciding whether RIPE is disturbing because it tells a powerful, unconventional story about friendship and the maturation process, or because it offers themes and images that border on prurient and sensationalistic. The truth is probably a little of each. Much as I appreciate some of the ideas first-time director Mo Ogrodnik is attempting to convey, this sometimes-preposterous movie pales in comparison to another currently-available girls' coming-of-age story, ALL OVER ME, as well as to last years' sisters-on-the-run entry, MANNY AND LO.
There's no denying that RIPE gets under your skin. It's a creepy film, and, though Ogrodnik may flounder in the deeper dramatic waters of her tale, she proves to be exceptional at generating suspense. I don't think RIPE was intended as a thriller per se, but much of the final half-hour plays like one. The movie managed to surprise me on a few occasions, and it deserves points for that alone.
The main characters, a pair of fourteen-year old fraternal twins, Violet (Monica Keena) and Rosie Wyman (Daisy Eagan), represent two halves of one person. Violet, the pretty one, radiates sensuality, and, as she goes through the physical changes of adolescence, she becomes intent upon exploring her own sexuality. Rosie, the tomboy, embodies rage and violence. She too is undergoing a transformation, but hers is potentially more dangerous. While Violet masturbates in a storage shed, Rosie perfects her aim on a shooting range. An ever-widening chasm develops between these once-inseparable sisters.
RIPE opens with a scene of the six-year old girls (played by Donia and Janna Silver-Smith) being terrorized by their father. It then flashes forward eight years to a fiery car wreck, where Mr. and Mrs. Wyman perish, but Violet and Rosie escape alive. They go on the run, ending up at a military base where they stay with Pete (Gordon Currie), the young, long-haired, civilian groundskeeper. While Violet spends her time flirting with Pete, whose sole ambition seems to be deflowering her, Rosie makes friends with Ken (Ron Brice), a sympathetic M.P. who gives her a gun and teaches her to use it.
One of the things RIPE does is to illustrate some of the difficulties experienced by a woman coming of age in a male-dominated society. A reason that Ogrodnik set this film on a military base is to deepen the sense of masculine supremacy (the army represents the apex of machismo), and, as a result, emphasize Violet and Rosie's solitude. There is no female role model for the girls; they're entirely on their own. When Violet has her first period, there isn't anyone she can turn to for help and advice. Pete, the closest thing she has to a friend, is too embarrassed and uncertain to offer any real support.
There are times when RIPE appears to cross the line into exploitation, however. Looking down the open necks of the girls' shirts, the camera peers relentlessly at their budding breasts. Pubescent nipples are frequently outlined against tight-fitting tee- shirts. While it could be argued that this is meant to enhance our awareness of the twins' sexual maturation, the questionable approach almost seems designed to entice pedophiles.
Monica Keena (the youngest member of the comatose man's clan in WHILE YOU WERE SLEEPING) and Daisy Eagan (Jessica Lange's daughter in LOSING ISAIAH) are striking as Violet and Rosie. They're teenage actresses portraying teenagers, and neither falters. One of the reasons RIPE's uneven storyline pulls draws us in is because Keena and Eagan make their characters real, even though the plot often seems anything but that. None of the supporting cast members stand out, but then no one has as much screen time or presence as the two leads.
With the threat of danger lurking around every corner, RIPE is certainly meant to make us feel uneasy. The subject matter is difficult, and the director doesn't avoid all the pitfalls. Dramatically, the film is a little disappointing. Unlike KIDS, which was shockingly believable, RIPE occasionally uses scripted violence to usurp the place of character development. Movies like HEAVENLY CREATURES and FUN have done this sort of friendship/bloodshed story in a far more compelling fashion. Nevertheless, despite the missteps, there is enough provocative material in RIPE to make it of passing interest to anyone whose curiosity is piqued by the subject matter.
- James Berardinelli e-mail<EMAIL_ADDRESS>ReelViews web site: http://www.cybernex.net/~berardin
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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eigenvectorcontinuation.hilbertspaces package
Submodules
eigenvectorcontinuation.hilbertspaces.circuit_mimic_space module
Concrete implementation of HSA that mimics the algebra used in a quantum circuit
CircuitMimicSpace is a simplified linear algebra representation of the computations run on quantum circuits. For a set of input training points, it defines the behavior for inner products and expectation values in this space and uses that behavior to calculate the overlap matrix and subspace hamiltonian for the given space. Does not use Qiskit (Please see CircuitSpace for the Qiskit implementation).
NOT YET IMPLEMENTED
eigenvectorcontinuation.hilbertspaces.circuit_space module
Concrete implementation of HSA that stores and calculates products using the Qiskit library
CircuitSpace uses the Qiskit library to define the behavior for inner products and expectation values for data represented as quatum circuits. For a set of input training points, it can use these to calculate the overlap matrix and subspace hamiltonian for the given space.
NOT YET IMPLEMENTED
eigenvectorcontinuation.hilbertspaces.hilbert_space_abstract module
HilbertSpaceAbstract: Abstract class used to outline how concrete Hilbert Spaces behave
Hilbert Spaces are used to create EigenvectorContinuer objects. They require an implementation of an inner product and an expectation value, which are used to calculate the overlap matrix and subspace hamiltonian of the system. Additionally, they require a method of determinig which vector to select from a list of eigenvectors (usually these correspond to different energy levels in a system).
SOON TO BE ADDED: Support for non-ground-state eigenvector continuation
- class eigenvectorcontinuation.hilbertspaces.hilbert_space_abstract.HilbertSpaceAbstract(training_points)
Bases:
ABC
Defines behavior for objects to have a hamiltonian, inner product, expectation value, and selected vector
- INPUT:
a set of training vectors
- property basis_vecs
I’m the current space’s basis vectors
- abstract calc_basis_vecs()
calculates the basis vectors to span the space
- Returns
the calculated basis vecs
should be implemented by concrete class
- abstract calc_overlap_matrix(points=None)
defines the overlap matrix for space given some set of spanning vecs (basis_vecs)
- Parameters
points – points to use as training points (optional depending on implementation)
- Returns
the overlap matrix
should be implemented by concrete class
- abstract calc_sub_ham(ham)
defines a subspace hamiltonian for space given a hamiltonian in the space and a set of spanning vectors (basis_vecs)
NB: ham cannot be constructed using the same points used to calc basis_vecs
- Parameters
ham – the hamiltonian used to find the subspace of
- Returns
the subspace hamiltonian
should be implemented by concrete class
- abstract expectation_value(vec1, ham, vec2)
defines expectation value calculation for space
- Parameters
vec1 – the first vector in the calculation
ham – the hamiltonian in the calculation
vec2 – the second vector in the calculation
- Returns
the expectation value
should be implemented by concrete class
- abstract inner_product(vec1, vec2)
defines inner product for space
- Parameters
vec1 – the first vector in the calculation
vec2 – the second vector in the calculation
- Returns
the result of the inner product
should be implemented by concrete class
- abstract select_vec(evecs)
defines which vector to select when chooosing from a set of evecs
- Parameters
evecs – the set of evecs
- Returns
the selected vector
should be implemented by concrete class
- property training_points
I’m the current space’s set of training points
eigenvectorcontinuation.hilbertspaces.numpy_vector_space module
- NumPyVectorSpace: An example concrete implementation of HilbertSpaceAbstract in which
data is represented in the form of type np.ndarray
- class eigenvectorcontinuation.hilbertspaces.numpy_vector_space.NumPyVectorSpace(training_points, num_qubits)
Bases:
HilbertSpaceAbstract
defines Hilbert Space behavior for numpy arrays
contains inner class to help construct hamiltonian
- class HamiltonianInitializer
Bases:
object
initializes the hamiltonian
- calc_eigenpairs(ham)
calcs the eigenpairs for a given param_setinate in a system
- Parameters
ham – the hamiltonian to get the eigenpairs from
- Returns
the eigenpairs as: evals, evecs
- many_kron(ops)
produces Kronecker (Tensor) product from list of Pauli charaters
- Parameters
ops – the operations [as characters] to apply to a matrix
- xxztype_hamiltonian(param_set, n_qubits, pbc=False)
produces the hamiltonian for a system where j_x = j_y and b_x = b_y
- Parameters
param_set – the set of parameters: j_x, j_z, b_x, b_z
n_qubits – the number of quibits
pbc – periodic boundary condition wrap around logic boolean
- Returns
hamiltonian of the system
- calc_basis_vecs()
calculates the basis vectors for the given space creates a hamiltonian for each point, and determines eigenvecs for each hamiltonian
- Returns
the calculated basis vecs
- calc_overlap_matrix(points=None)
defines the overlap matrix for a NumPyVectorSpace
if points are passed in, these become the new training points of the space otherwise, the existing training points are used
For an overlap matrix S: S[i,j] = inner_product(basis_vec_i, basis_vec_j)
- Parameters
points – points to use as training points (optional)
- Returns
the calculated overlap matrix
- calc_sub_ham(ham)
defines a subspace hamiltonian for space given a hamiltonian in the space and a set of spanning vectors (basis_vecs)
NB: ham cannot be constructed using the same points used to calc basis_vecs
Subspace Ham[i,j] = expectation_value(basis_vec_i, ham, basis_vec_j)
- Parameters
ham – the hamiltonian used to find the subspace of
- Returns
the subspace hamiltonian
- expectation_value(vec1, ham, vec2)
defines expectation value calculation for numpy array space
- Parameters
vec1 – the left vector of the expectation value calculation
ham – retrieve the expectation value w.r.t. this hamiltonian
vec2 – the right vector of the expectation value calculation
- Returns
the expectation value of the system
- property implementation_type
I’m the current space’s implementation type
- inner_product(vec1, vec2)
defines inner product for numpy array space
- Parameters
vec1 – the left vector of the inner product
vec2 – the right vector of the inner product
- Returns
inner product of vec1 & vec2
- property num_qubits
I’m the current space’s number of qubits
- select_vec(evecs)
returns the lowest energy evec
- Parameters
evecs – the set of evecs
- Returns
the selected vector
eigenvectorcontinuation.hilbertspaces.unitary_space module
- UnitarySpace: An example concrete implementation of HSA in which vectors are
defined as their corresponding unitary matrices
- class eigenvectorcontinuation.hilbertspaces.unitary_space.UnitarySpace(training_points, num_qubits)
Bases:
HilbertSpaceAbstract
defines Hilbert Space behavior for unitary matrices stored as numpy arrays
contains inner class to help construct hamiltonian
- class HamiltonianInitializer
Bases:
object
initializes the hamiltonian
- calc_eigenpairs(ham)
calcs the eigenpairs for a given param_setinate in a system
- Parameters
ham – the hamiltonian to get the eigenpairs from
- Returns
the eigenpairs as: evals, evecs
- many_kron(ops)
produces Kronecker (Tensor) product from list of Pauli charaters
- Parameters
ops – the operations [as characters] to apply to a matrix
- xxztype_hamiltonian(param_set, n_qubits, pbc=False)
produces the hamiltonian for a system where j_x = j_y and b_x = b_y
- Parameters
param_set – the set of parameters: j_x, j_z, b_x, b_z
n_qubits – the number of quibits
pbc – periodic boundary condition wrap around logic boolean
- Returns
hamiltonian of the system
- calc_basis_vecs()
calculates the basis vectors for the given space creates a hamiltonian for each point, and determines eigenvecs for each hamiltonian
- Returns
the calculated basis vecs
- calc_overlap_matrix(points=None)
defines the overlap matrix for a UnitarySpace
if points are passed in, these become the new training points of the space otherwise, the existing training points are used
For an overlap matrix S: S[i,j] = inner_product(unitary_i, unitary_j)
- Parameters
points – points to use as training points (optional)
- Returns
the calculated overlap matrix
- calc_sub_ham(ham)
defines a subspace hamiltonian for space given a hamiltonian in the space and a set of spanning vectors (basis_vecs)
NB: ham cannot be constructed using the same points used to calc basis_vecs
Subspace Ham[i,j] = expectation_value(unitary_i, ham, unitary_j)
- Parameters
ham – the hamiltonian used to find the subspace of
- Returns
the subspace hamiltonian
- calc_unitaries()
calculates the unitary for each vector in this instance’s basis_vecs
- Parameters
vecs – the vectors from which to calculate the unitaries
- Returns
the unitary matrix, one for each vector.
- calc_unitary(input_vec)
calculates the unitary for a given vector
- Parameters
input_vec – the vector from which to calculate the unitary
- Returns
the unitary matrix for the vector
- expectation_value(vec1, ham, vec2)
defines expectation value calculation for numpy array space
- Parameters
vec1 – the left vector of the expectation value calculation
ham – retrieve the expectation value w.r.t. this hamiltonian
vec2 – the right vector of the expectation value calculation
- Returns
the expectation value of the system
- property implementation_type
I’m the current space’s implementation type
- inner_product(vec1, vec2)
defines inner product for numpy array space. The vectors used as input are assumed to be unitary matrices for this class
- Parameters
vec1 – the left vector of the inner product
vec2 – the right vector of the inner product
- Returns
inner product of vec1 & vec2
- property num_qubits
I’m the current space’s number of qubits
- select_vec(evecs)
returns the lowest energy evec
- Parameters
evecs – the set of evecs
- Returns
the selected vector
- property unitaries
I’m this space’s list of unitaries. Each unitary is calculated from a basis vector (all basis vectors are calculated from the input training points)
- property zero_bra
I’m this space’s zero_bra, to be used in many calculations. zero_bra is often denoted as <0| and is defined as the row vector: (1 0 0 … 0) with length 2**num_qubits


400 Bad request
The requested URL is not a valid GS1 Digital Link URI, which is the only kind of URL that this sevice can process. For more information, see any of the following:
- The GS1 Digital Link standard.
- A tool that will show you whether or not a given URL plausibly is, or definitely is not, a GS1 Digital Link URI.
- Your local GS1 Member Organisation.


Configuration
class Configuration
Configuration Class Doc Comment PHP version 5
Properties
| protected string[] | $apiKeys | Associate array to store API key(s) | |
| protected string[] | $apiKeyPrefixes | Associate array to store API prefix (e.g. Bearer) | |
| protected string | $accessToken | Access token for OAuth | |
| protected string | $username | Username for HTTP basic authentication | |
| protected string | $password | Password for HTTP basic authentication | |
| protected string | $host | The host | |
| protected string | $userAgent | User agent of the HTTP request, set to "PHP-Swagger" by default | |
| protected bool | $debug | Debug switch (default set to false) | |
| protected string | $debugFile | Debug file location (log to STDOUT by default) | |
| protected string | $tempFolderPath | Debug file location (log to STDOUT by default) |
Methods
Constructor
Sets API key
Gets API key
Sets the prefix for API key (e.g. Bearer)
Gets API key prefix
Sets the access token for OAuth
Gets the access token for OAuth
Sets the username for HTTP basic authentication
Gets the username for HTTP basic authentication
Sets the password for HTTP basic authentication
Gets the password for HTTP basic authentication
Sets the host
Gets the host
Sets the user agent of the api client
Gets the user agent of the api client
Sets debug flag
Gets the debug flag
Sets the debug file
Gets the debug file
Sets the temp folder path
Gets the temp folder path
Gets the default configuration instance
Gets the essential information for debugging
Get API key (with prefix if set)
Details
at line 117
__construct()
Constructor
at line 130
$this
setApiKey(string $apiKeyIdentifier, string $key)
Sets API key
at line 143
string
getApiKey(string $apiKeyIdentifier)
Gets API key
at line 156
$this
setApiKeyPrefix(string $apiKeyIdentifier, string $prefix)
Sets the prefix for API key (e.g. Bearer)
at line 169
string
getApiKeyPrefix(string $apiKeyIdentifier)
Gets API key prefix
at line 181
$this
setAccessToken(string $accessToken)
Sets the access token for OAuth
at line 192
string
getAccessToken()
Gets the access token for OAuth
at line 204
$this
setUsername(string $username)
Sets the username for HTTP basic authentication
at line 215
string
getUsername()
Gets the username for HTTP basic authentication
at line 227
$this
setPassword(string $password)
Sets the password for HTTP basic authentication
at line 238
string
getPassword()
Gets the password for HTTP basic authentication
at line 250
$this
setHost(string $host)
Sets the host
at line 261
string
getHost()
Gets the host
at line 274
$this
setUserAgent(string $userAgent)
Sets the user agent of the api client
at line 289
string
getUserAgent()
Gets the user agent of the api client
at line 301
$this
setDebug(bool $debug)
Sets debug flag
at line 312
bool
getDebug()
Gets the debug flag
at line 324
$this
setDebugFile(string $debugFile)
Sets the debug file
at line 335
string
getDebugFile()
Gets the debug file
at line 347
$this
setTempFolderPath(string $tempFolderPath)
Sets the temp folder path
at line 358
string
getTempFolderPath()
Gets the temp folder path
at line 368
static Configuration
getDefaultConfiguration()
Gets the default configuration instance
at line 384
static void
setDefaultConfiguration(Configuration $config)
Sets the detault configuration instance
at line 394
static string
toDebugReport()
Gets the essential information for debugging
at line 412
string
getApiKeyWithPrefix(string $apiKeyIdentifier)
Get API key (with prefix if set)


{% extends 'base.html' %} {% block title %}Privacy Policy{% endblock title %} {% load staticfiles%} {% block content %}
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This policy is effective as of 27 October 2020.


public class AWGN4J
extends java.lang.Object
http://www.gaussianwaves.com and created under Creative Commons
Attribution-NonCommercial-ShareAlike 4.0 International License.
You must credit the author in your work if you remix, tweak, and build upon the work below.
Mathuranathan Viswanathan
This algorithm is also based from the OCTAVE Algorithm
http://lasp.colorado.edu/cism/CISM_DX/code/CISM_DX-0.50/required_packages/octave-forge/main/comm/awgn.m
Copyright [2017] [Maurice Garcia]
Licensed under the Apache License, Version 2.0 (the "License");
you may not use this file except in compliance with the License.
You may obtain a copy of the License at
http://www.apache.org/licenses/LICENSE-2.0
Unless required by applicable law or agreed to in writing, software
distributed under the License is distributed on an "AS IS" BASIS,
WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
See the License for the specific language governing permissions and
limitations under the License.
- Author:
- Maurice Garcia


--- layout: page title: About header-img: "img/about-bg.png" ---
I'm just a man beginning to learn code.


| gridinfo {pbdBASE} | R Documentation |
Grabs the existing BLACS context grid information.
base.blacs(ICTXT = 0) blacs(ICTXT = 0)
ICTXT |
BLACS context number. |
BLACS contexts have important internal use, and advanced users familiar with ScaLAPACK might find some advantage in directly manipulating these process grids. Most users should not need to directly manage BLACS contexts, in this function or elsewhere.
The function effectively serves as a shorthand for
eval(parse(text=paste(".__blacs_gridinfo_", ICTXT, sep="")))
Returns a list with 5 elements: NPROW
and NPCOL
, the
number of process rows and columns respectively; ICTXT
, the
associated BLACS context number; MYROW
and MYCOL
, the current
process' row and column position in the process grid.
## Not run: # Save code in a file "demo.r" and run with 2 processors by # > mpiexec -np 2 Rscript demo.r library(pbdBASE, quiet = TRUE) init.grid() mygrid <- blacs(0) pbdMPI::comm.print(mygrid) finalize() ## End(Not run)


Around 1800, civilization underwent one of the most profound shifts in human history: the industrial revolution.
Rapid progress in machine learning has raised the prospect that algorithms will one day be able to do most or all of the mental tasks currently performed by humans. This could ultimately lead to machines that are much better at these tasks than humans.
This might be the most important transition of the next century – either ushering in an unprecedented era of wealth and progress, or heralding disaster.
But it’s also an area that’s highly neglected: while billions are spent making AI more powerful, 5 we estimate fewer than 100 people in the world are working on how to make AI safe.
It is estimated that the risk of a catastrophe is fused by the interaction between machines in the 100 years between 1 and 10%.
$10m of annual funding.
The doubling of effort would reduce the size of the existing risk by around 1%.
Write a message saying your opinion and what could improve this problematic situation.


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Before Change
def install_osx():
Setup to run via launchd on OS X
hass_path = os.popen("which hass").read().strip()
user = os.popen("whoami").read().strip()
cwd = os.path.dirname(__file__)
template_path = os.path.join(cwd, "startup", "launchd.plist")
After Change
def install_osx():
Setup to run via launchd on OS X
with os.popen("which hass") as inp:
hass_path = inp.read().strip()
with os.popen("whoami") as inp:
user = inp.read().strip()
cwd = os.path.dirname(__file__)


This is a very attractive town with its original colonial architecture. The town sits on an island where the Mearim and Itapicuru rivers meet the Atlantic.
Security: Cruisers are urged to take precautions if visiting this port. A Dutch sailor was shot and killed when boarded by armed robbers in February 2015 here. Cees Heim, a Dutch sailor now living in Sao Luis, can provide local advice. See General Services for contact details.
Policia Federal (immigration) and Customs are at the port entrance. You need hardhats to walk through the port but the locals help, either by giving you hats or arranging transport. Capitania do Portos in town, in the historical center, 30 minutes drive away.
Last updated April 2014.
Anchor south of Itaqui, near all the pilot boats and tugs. Good holding in mud. It is possible to tie the dinghy near a sloping ramp and climb the slippery steps to get ashore.
There is a sort of marina, Marina Aven, which appears to dry out completely at low water and thus only suitable for catamarans or others who can sit on the bottom. They have a dock space for four yachts and (rain?) water is available. The price per night 30R$. An estimate of the coordinates is about 02 30.35 S 44 18.97 W.
Last updated April 2014.


First thing: click Choose File to open a PDF file!
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The previous example used a fingerstyle arrangement based on guitar patterns in Devil’s got you beat. This example picks up from there, regenerating the exact same guitar tab, but this time properly acknowledging the two guitar voices: the part played by with the thumb and the part played with the other fingers. The setup is the same as before.
library(tabr)
header <- list(title = "Devil's got you beat", composer = "Words and music Blues Saraceno",
performer = "Blues Saraceno", album = "Dark Country 4", subtitle = "From the album Dark Country 4 by Blues Saraceno",
arranger = "Two picking patterns over Eb arranged by Matthew Leonawicz",
copyright = "2016 Extreme Music")
txt <- c("DADGAD tuning with capo on 1st fret (Eb). Fingerpicking. Let ring.")
tuning <- "d2 a2 d3 g3 a3 d4"
In this fingerstyle guitar tab it is appropriate to use two voices for the guitar part. Even though it is one guitar playing, the thumb playing on the low three strings and the fingers playing the higher strings should be shown as two distinct voices. Multiple voices like this go on the same staff; they do not need a separate staff. The voice played with the thumb shows notes with their stems pointing down and the higher voice has stems pointing up.
This changes the phrases seen earlier as they must be split into two complementary phrases. Voice ID is indicated in track
. There are now two tracks, but they are represented by different voices, not by different music staves. Therefore, the two tracks will use voice = 1
and voice = 2
, respectively, but they will not have different tabstaff
IDs.
Below, s
is used instead of r
for silent rests, but this is not required. This suppresses the rest notation of the resting voice while the other voice is active. This works well for this melody since the two voices are never both at rest. Notice how the additional rests fill in the gaps where each voice is now effectively inactive while the other is played. In more complex fingerstyle arrangements they will of course overlap.
# melody 1: voice 1
notes1 <- glue(dup("s a3 d4", 2), "s a3 d4 s")
info1 <- "4. 16 16 4. 16 16 8 16 16 4"
strings1 <- "x 2 1 x 2 1 x 2 1 x"
p1 <- p(notes1, info1, strings1)
p1e1 <- p("s a3 d4 s", "8 16 16 4", "x 2 1 x")
p1e2 <- p("s a3 d4 s s", "8 16 16 4 1", "x 2 1 x x")
# melody 1: voice 2
notes2 <- glue(dup("f3 d3 c3 d3 s", 2), "f3 g3 s f3 d3 c3 a2")
info2 <- purrr::map_chr(c("16(", notate("16(", txt)), ~glue(.x, "16) 8 8 8 16( 16) 8 8 8 16- 16 8 16*4"))
strings2 <- "4 4 5 4 s 4 4 5 4 s 4 4 s 4 4 5 5"
p2 <- purrr::map(info2, ~p(notes2, .x, strings2))
p2e1 <- p("d3 s c3 a2 f2 d2", "8 8 16( 16) 16( 16)", "4 x 5 5 6 6")
p2e2 <- p("d3 s c3 a2 f2 e2 d2", "8 8 16( 16) 16- 16( 1)", "4 x 5 5 6 6 6")
# melody 2: voices 1 and 2
p3 <- p("s a3 d4 s", "8 16 16 4", "x 2 1 x")
p4 <- p("d3 s f3 d3 c3", "8 8 16 16 8", "4 x 4 4 5")
t1 <- glue(pct(glue(p1, p1e1), 3), volta(pct(p3, 3), 1), p1, p1e1, p1, p1e2) %>%
track(tuning, 1)
t2 <- glue(pct(glue(p2[[2]], p2e1), 3), volta(pct(p4, 3), 1), p2[[1]], p2e1,
p2[[1]], p2e2) %>% track(tuning, 2)
trackbind(t1, t2, tabstaff = c(1, 1)) %>% score() %>% tab("out.pdf", "dm", "4/4",
"4 = 115", header)
Notice the 1 and 2 passed to the respective calls to track
for the voice ID. Subsequently, in the call to trackbind
the two tracks are assigned the same staff ID, tabstaff = c(1, 1)
. By default, not providing tabstaff
leads to a unique staff per track. This is the more common usage. Providing non-unique staff IDs will throw an error if the voice IDs for a single staff ID are also not unique. Every track must be directed into a unique voice or staff.
This is a somewhat frustrating refactor for such a small change in result, but keep in mind it is just a comparative example for illustration. Normally, it would only have been coded this second way to begin with. The new output is shown below. It is almost identical, as it should be, with the single exception of a change in stem direction representing the two voices.
Note that the order of voice 1 and 2 assignment determines which one is stem up and which is stem down. voice = 1
points up, voice = 2
points down, and they should be assigned properly to avoid obtaining the backwards result. Since together these tracks share one staff, the order in which they are passed to trackbind
actually does not matter here. trackbind
order matters only for staff order, not voice order within a staff. For both voices and staves, first to last is mapped top to bottom in the output.


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The rumours are true – good things come to those who are late, as McDonald’s confirms its breakfasts will soon be served until 11am.
Every weekend social media is rife with statuses, tweets and memes about hungover people just missing out on getting their hands on that sweet McMuffin action. But, alas, that will be a thing of the past from next week as McDonald’s adds 30 minutes to its breakfast serving time.
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From Wednesday 20th November, McDonald’s customers across the UK & Ireland will have 30 additional McMuffin minutes as the company extends breakfast serving time until 11am.
The move comes after a successful trial in 122 restaurants in the south of England, and the extended breakfast serving time will soon be rolled out nationwide. Big Mac fans will have to hold on until 11am to get their hands on their main menu favourites.
Michelle Graham-Clare, Vice President Food & Marketing at McDonald’s UK and Ireland said:
We all understand the pain of missing out on a McMuffin by a matter of minutes. We have listened to our customers’ pleas and are delighted to extend breakfast serving time until 11am, particularly as we head into the festive season when we see a rush of latecomers searching for those all-important hash browns.
Can breakfast lovers please spare a thought for those of us who could easily munch on a large Big Mac Meal with extra gherkins from 9am in the morning?!
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While the time change is music to some people’s ears, there are many others – myself included – who will now have to count down the minutes until it goes from bacon rolls to burger time, because we love nothing more than a burger and 20 chicken nuggs. No, seriously. Chicken nuggets should seriously be on the breakfast menu.
It’s worth a cheeky mention that more than 950 McDonald’s restaurants offer McDelivery through Uber Eats, so you’ll be able to make your breakie orders until 10:45am instead of the regular 10.15am.
Hangovers: Be gone!
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Emma Rosemurgey is an NCTJ trained Journalist who started her career by producing The Royal Rosemurgey newspaper in 2004, which kept her family up to date with the goings on of her sleepy north east village. She graduated from the University of Central Lancashire in Preston and started her career in regional newspapers before joining Tyla (formerly Pretty 52) in 2017, and progressing onto UNILAD in 2019.


Web Development Portfolio
Welcome to my portfolio showcase some examples of my work in web development and design. My full resume can be found at http://resume.stevenclontz.com.
StevenClontz.com
My most obvious work is, of course, the website you are on! This site runs using Octopress using a slight variation on its “Classic” theme. I’ve also integrated MathJax for beautifully typeset $\LaTeX$ formulas.
$$ O \uparrow \text{Con}_{O,P}(X,x) $$
$$ V = \int_a^b A(x)\,dx $$
Auburn University Bands
From 2007 until 2010 I served as the Webmaster and later Graduate Technology Assistant of the Auburn University Bands. The site was powered by WordPress.org with a custom theme I created to match the Auburn University web template at the time.
The Auburn Band has since changed their site design, but a copy of the site as of the end of 2010 is available at Archive.org.
AU Graduate Student Council
Before serving as the President of AU’s graduate student government, I served in the Webmaster executive officer position from 2010-2011. The GSC lacked a website of any kind, so I adapted the Wolf CMS framework and and the current AU official web template to create a powerful website which could be maintained completely through a web browser, and customized the official Auburn template to work with Wolf CMS.
The GSC still uses the the platform I created as of 2013-10-25, which is viewable at http://auburn.edu/gsc.
Teloga Musician Networks
In 2012, James Dabbs and I cofounded Teloga Musician Networks, an online social network for helping music orgnaizations (such as high school or university band programs) manage their membership. The current incarnation of the site is based on the Django framework and an adaptation of the Twitter Bootstrap theme.
We are currently refactoring the site from scratch, and will release a Ruby on Rails based redesign early in 2014.
Puzzle Console
Part of my efforts in organizing the fifth Auburn Puzzle Party puzzlehunt competition involved cocreating an online puzzle delivery and scoring platform based on the Django Framework along with James Dabbs.
The source to our puzzle-console is freely available on GitHub. An archive of the site is available at http://puzzle-console.herokuapp.com/.
GradeCalc
My most popular web application is probably my most simple - GradeCalc is a nanoc-generated static site which answers one important quesiton for students: “What do I need to make on the final?” Source available on Github.