Intro to the Open Data Tool Kit
The Open Data Toolkit is designed to help governments and open data enthusiasts understand the basic concepts of Open Data, how to plan and implement an open government data programme and some tricks on how to approach a dataset.
Getting started with Open Data can be easier than many people think. If you have data in a re-usable electronic form, a publicly accessible domain to put it and an open license, then you’re on the right path.
This toolkit provides a comprehensive step by step approach to help government agencies release more open data in a simplified manner.
Learn about Open Data
What is Open Data?
According to the Open Data Institute, “Open data is data that anyone can access, use or share. Simple as that. When big companies or governments release non-personal data, it enables small businesses, citizens and medical researchers to develop resources which make crucial improvements to their communities.”
What is Open Government Data?
Open government data means:
Data produced or commissioned by government or government controlled entities Data which is open as defined in the Open Definition – that is, it can be freely used, reused and redistributed by anyone.
What is machine readable data?
Data in a data format that can be automatically read and processed by a computer, such as CSV, JSON, XML, etc. Machine-readable data must be structured data.
Some human-readable formats, such as PDF, are not machine-readable as they are not structured data, i.e. the representation of the data on disk does not represent the actual relationships present in the data.
Why Open Data?
Releasing Open Data is not easy. It requires time and resources and it can also be a challenge to make sure the fine line between transparency and privacy isn’t compromised. So if it is so challenging and requires money, then the question is : Is it worth it?
Take a moment to watch this video about the potential of open data
This is just the tip of the iceberg, there is much more to this.
Some of the key areas where Open Government Data is creating value are:
- Transparency and democratic control
- Participation
- Self-empowerment
- Improved or new private products and services
- Innovation
- Improved efficiency and effectiveness of government services
- Impact measurement of policies
- New knowledge from combined data sources and patterns in large data volumes
A few examples that validate the above:
- The UK ‘Where does my money go’ site shows users how their tax money is being spent by government
- Canada was able to save $3.2 billion in charity tax fraud.
- Various websites such as the Danish folketsting.dk tracks activity in parliament and the law making processes, so you can see what exactly is happening, and which parliamentarians are involved.
For more examples, see here.
In summary, key benefits of open data include:
- Promoting greater transparency and engagement between government and communities by allowing data to be analysed and visualised in unique and different ways (where government may not always have the expertise or resources to do these). This can lead to a more engaged, connected and informed community and can help highlight some of the work happening behind the scenes to collect and manage public data.
- Facilitating social and commercial innovation, by allowing the growth of new business and service models that rely on open data.
- Improving service delivery and community satisfaction by allowing citizens to interact with public government data via online interfaces or community-developed apps.
In the computer world there is something called Linus’ Law, which states: “given enough eyeballs, all bugs (problems) are shallow.” and one can draw parallels from it for almost everything. There can also be long-term or unanticipated benefits to opening data. This is because it is not always possible to predict the kinds of innovation that may evolve in response to the release of open data.
Sources:
- Open Knowledge ‘What is Open?’ and ‘Why Open Data?’
- Open Data Field Guide – Socrata
- Further open data case studies are available at data.govt.nz and the Open Data Institute
- Open Data Playbook – Code for America
- Open Data in 60 Seconds – World Bank
- Open Data Handbook
Examples of Open Data usage
So, you think Open Data sounds like a great proposition but you’re still keen to know what can actually be achieved with open data? Surely people aren’t interested in X dataset are they?
Let us introduce you to a few interesting uses of Open Data that have popped up over the past few years. They may seem peculiar but there’s no doubt that they’ve definitely challenged the assumptions about how useful any given data set may be!
Adopt A Hydrant
Adopt a what? Yup, you read it right. The precise location of fire hydrants in Boston City may put you to sleep at first but what if someone took it and made something, not only enjoyable but also beneficial to the city?
A typical snow storm in Boston can blanket the city for days, forcing residents to shovel their driveways but other utilities can remain lost for days. In a life or death situation like a burning building, a firefighter may not have time to dig out a hydrant, let alone spend the time necessarily to locate it under such heavy snowfall.
This was exactly the type of problem solved by Adopt A Hydrant using Open Data. Citizens of Boston could ‘adopt’ a hydrant of their own which they kept clean and shovelled. If they didn’t keep up their responsibilities in a timely manner, neighbours would have the opportunity to “steal” their hydrant away from them!
You can read more about the story here but it’s a good example of how you can “gamify” data and get citizens engaged in city affairs in a way that they otherwise wouldn’t have.
Best of all, it’s open source as well which means anyone can take the application and with a bit of retooling, adapt it to fit their city too. There have been a few interesting spin offs already like Adopt A Siren in Honolulu.
Email A Tree
What do you do if you’re a city that has an ever expanding amount of trees but not enough resources to monitor them all? Give them email addresses!
There have been other alternatives but this crafty application of data and technology produced a website that let Melbourne citizens email specific trees to report issues like broken branches or fallen leaves.
It worked!
Funnily enough, citizens also started expressing their affection for their favourite trees as well, writing in to say how much they adored their luscious leaves or that they were upset about trucks scraping the undersides of branches.
These are just a few examples of how Open Data can be utilised and even disguised as a novelty at the same time making it much more attractive than something like a survey.
Sources:
- http://www.citymetric.com/horizons/story-melbournes-tree-mail-shows-trees-are-more-just-ecosystem-1264
- http://www.theatlantic.com/technology/archive/2015/07/when-you-give-a-tree-an-email-address/398210/
- http://melbourneurbanforestvisual.com.au
- http://www.abc.net.au/news/2015-07-22/most-emailed-tree-in-melbourne-is-punt-rd-golden-elm/6639062
- http://adoptatree.brewingabetterforest.com/
- http://old.codeforamerica.org/?cfa_app=adopt-a-hydrant-2
- http://www.accuweather.com/en/weather-news/adopt-a-hydrant-snowstorms/19897879
Open Government Partnership
The Open Government Partnership is a multilateral initiative that aims to secure concrete commitments from governments to promote transparency, empower citizens, fight corruption, and harness new technologies to strengthen governance. In the spirit of multi-stakeholder collaboration, OGP is overseen by a Steering Committee including representatives of governments and civil society organizations.
To become a member of OGP, participating countries must endorse a high-level Open Government Declaration, deliver a country action plan developed with public consultation, and commit to independent reporting on their progress going forward.
To learn more on how to be a member, read more here.
What does it mean for New Zealand?
New Zealand Data and Information Management Principles: The principles under which the New Zealand Government releases its open data are called the New Zealand Data and Information Management Principles
The core principles of NZDIMP are:
- Open
- Protected
- Readily available
- Trusted and authoritative
- Well managed
- Reasonably priced
- Reusable
Should NZ adopt the Open Data Charter?
This is not a simple question and doesn’t have a straight-forward answer. There has been a lot of discussion going on around this and to participate in this discussion and read more about it, follow the links below.
https://www.ict.govt.nz/guidance-and-resources/open-government/engagement-activities/open-data-charter/
https://webtoolkit.govt.nz/blog/2016/09/should-new-zealand-adopt-the-international-open-data-charter/
https://www.govt.nz/browse/engaging-with-government/consultations-have-your-say/should-the-new-zealand-government-adopt-the-international-open-data-charter/
https://www.loomio.org/g/8UcXFlAg/what-are-the-potential-impacts-if-the-open-data-charter-was-implemented-in-new-zealand
Laying the Groundwork
Launching an Open Data doesn’t have to be a tricky endeavour but rushing into it without proper planning and assessment beforehand may caught pain later on in the process.
Defining the goals of your Open Data initiative
Your Open Data initiative should align with the larger strategic goals and objectives that your organisation strives towards. It may be tempting to “do open data” for the sake of it but in order to have the longest possible impact, you should have a greater goal in mind.
You should be clear from the beginning as you define your Open Data goals. This will aid your team immensely when articulating your vision to potential stakeholders.
You should ask yourself
- What makes Open Data important for your agency?
- What would a successful Open Data initiative look like?
- What existing needs and priorities does your organisation have, that can be supported by Open Data?
Common goals and outcomes for Open Data
Depending on the values, priorities and resources afforded to your Open Data initiative, you may have a single goal or multiple. Here are some examples of common goals:
- Saving staff hours through increased sharing of information between departments.
- Enabling citizens to gain a better understanding of government activity, promoting economic development and improving quality of life.
- Providing greater availability, and awareness, of data used in data-driven decision-making.
- Providing a basis for a local civic technology ecosystem.
- Reducing the volume of incoming Official Information Act requests by making highly requested, non-sensitive information available in a self-serve format.
Aligning with organizational goals
A key avenue for generating initial buy-in from leadership is to show how embracing open data can drive progress on high priority issues. You should consider how open data can support the priorities of high-level policies that are relevant to your context.
It could be aiding in creating jobs, reducing vacant and abandoned properties, or increasing government transparency. The way you pitch your Open Data plan can help get some quick wins under your belt and get on your way to a longer-term initiative.
You may find it useful to review recent high-profile speeches and statements from your agency leadership to identify some potential key issues your initiative may assist with.
Don’t be afraid to be creative with your solutions as open data can have impact in the most unexpected areas.
Open Data Toolkit
Licensing
It can be tough deciding how to license your open data for release.
There are many licenses, each all doing different things and it can be difficult to decide which way to go.
Thankfully, New Zealand has the New Zealand Government Open Access and Licensing (NZGOAL) framework
Publishing Data
This guide will be most useful to IT managers, GIS coordinators, asset managers and database admin.
The focus of this guide will be generic, easily uploadable datasets such as CSVs, spreadsheets and so on.
Listing your dataset on data.govt.nz
The general process for uploading a dataset is as follows:
- Identify datasets to publish
- Export the data and ensure it is cleaned, raw data
- Apply an appropriate license
- List the dataset to data.govt.nz, providing metadata
- Schedule regular updates
Identify Datasets
For the first dataset, pick something that is likely to be useful straight away. The data needs to be good quality as well as being free from any privacy or confidentiality issues.
Some examples of good starting datasets that don’t change frequently includes drain pipes, waste collection zones, dog walking zones, and customer service centre locations.
Preparing the Datasets
In order to prepare data sets to maximize their usefulness, it’s important to acknowledge the different types of formats available as well as the limitations that they may present:
| Tabular | ||
|---|---|---|
| File Type | Openness | Notes |
| CSV | High | The best format for opening structured data (eg. As spreadsheets) |
| XLS or XLSX | Low | Limits machine reading and use on non-Microsoft systems |
| Spatial | ||
| File Type | Openness | Notes |
| KML | High | An open standard developed for Google Earth. May not translate to other systems. KMZ is also available as a packaged set of KML files. |
| WMS | High | Standardized format for georeferenced map images |
| WFS | High | Standardized format for geographical features |
| Text | ||
| File Type | Openness | Notes |
| TXT | High | Simple text format readable on most operating systems. No formatting is available |
| RTF | High | Simple text format readable on most operating systems which retains some formatting |
| ODT | Medium | Limits machine reading |
| DOC or DOCX | Low | Limits machine reading and use on non-Microsoft systems |
| Low | Useful for document exchange to preserve formatting, but has limitations for machine reading, character recognition and remixing. |
Any tabular data should also be cleansed. This means that files should be:
- Raw - Presented in the simplest possible format with a single header row and
- Clean - Using uniform data formatting (eg; numerical dates, postcodes in every field) with no missing entries, no embedded non-text information, data in every field and as few mistakes as possible
Examples of raw, clean data
| Date | Age | Gender | Postcode |
|---|---|---|---|
| 20/10/2013 | 12 | M | 2580 |
| 10/01/2013 | - | F | 1462 |
| 02/11/2011 | 22 | M | - |
| 12/05/2012 | 45 | F | 1464 |
| 19/01/2010 | 75 | F | 1800 |
Examples of data that is not raw or clean
| Copyright of Dept. X | |||
|---|---|---|---|
| Date | Age | Gender | Postcode |
| 01/20/2013 | Fifteen | Female | Barton |
| 10th Dec 11 | 15 | Fem | - |
| 02/11/2011 | xx* | Male | 3652 |
| 12/05/2012 | 45 | F | 1464 |
| * Footnote Information |
Creating the Datasets
From the front page of the data.govt.nz website, you’ll be able to see an Add Data button in the top right corner followed by Submit Dataset on the next page.
Your submission to data.govt.nz will require a few pieces of information:
- Dataset title
- A direct link to the dataset
- A description of the dataset
- The category it fits under
- The formats it is available is
- Re-use rights / license (See below)
- Update frequency (daily, monthly, yearly?)
- Title of the agency responsible for the dataset
- A contact email address (which will NOT be published)
Picking a license
Licensing is easily the most important aspect of releasing your dataset. It will determine whether or not your dataset can be used for a commercial purpose, publically redistributed and/or whether or not others have to provide attribution for your work.
In New Zealand, the NZGOAL framework provides guidance for agencies to follow when releasing copyright works and non-copyright material for re-use by others.
Once you’ve successfully listed your dataset on data.govt.nz, you should be able to see the listing live in the catalogue:
Scheduling regular updates
It’s important to keep a schedule of how often the datasets you have released are updated. Some datasets may not need updating very often but others, such as weekly petrol prices, will be at their peak usefulness should they be updated in a timely manner.
For the example of petrol prices, it wouldn’t make sense to only update the dataset once a month and interested users would likely look somewhere else for fresher data.
Open Data Standards
Open Data is spreading across the globe, however by majority, this is happening without well documented standards, and the result is inconsistent meta-data, no uniform approval process, no uniform normalisation process and conflicting terms of use. All making it difficult for users to discover or use the data they want and need.
This is not just limited to different countries or organisations. Open data is hard to compare even across teams located in the same building.
What are standards with respect to open data? And why do we need them?
Standards mean something widely accepted, agreed upon, or an established means of determining what a dataset should be.
This is to allow datasets from different sources to be easily comparable, joined into something bigger, to support wider research, knowledge exchange, app scalability and in general to make it easy to add value.
Once defined, the process will help make releasing a dataset easier.
This also aligns with the concept of frictionless data that was introduced by Open Knowledge Foundation.
Some examples of uniformity in datasets are: similar data and time format across all datasets, having minimum required fields, and similar dataset across different agencies should have similar structure and fields
This needs to be taken up as an elaborate API design initiative that should involve representative from all government agencies. A collaborative effort done once can save a lot of time in the hindsight.
A few examples of standards are:
Dataset Register
Keeping a simple dataset register helps track what data assets your organisation has, and their status in the pipeline towards eventual release as open data.
The main points to focus on are:
- Where is the data managed?
- Who “owns” it?
- What system is it in?
- Which unit does it fall under?
- Is it already published?
- Technical Attributes
- Is it spatial or tabular?
- How many attributes are there?
- How often is it updated?
- Value to the public
- What are its potential uses?
- Are there comparable datasets?
- How unique is the data?
- Progress towards being published
- Does the data need cleaning?
- Has all confidential information been removed?
- Does it need transforming to meet an Open Data standard?
- Are all approvals obtained?
Open Data Tools
Here are a number of tools that you may find useful:
- CKAN is an open source data management system aimed at governments, companies and organizations want a quick way to openly provide datasets to the public. It also comes with API support included, allowing automated upload tools to be built by more tech savvy members of your organisation.
- Github is an online source code hosting platform that utilizes the Git version control system.
- ogr2ogr is a part of the GDAL library which can be used to translate between a number of geospatial formats, such as Esri Shapefile to GeoJSON. If you are unable to install binaries on your system, there is also an unofficial online interface called OGRE. For more information and examples, this post is worth checking out.
- Octopub is a site which connects with Github and provides a simple interface for uploading CSV tabular datasets for those who aren’t experienced with Git or Github.
- Loomio is a tool for fast, inclusive and effective decision making. Members vote on proposals while also being able to provide valuable feedback and constructive criticism. New Zealand’s NZGOAL - Software Extension Framework was created with the help of Loomio. You can see their process here as an example of what it might look like in your organisation.
Feedback
About
This Open Data Tool Kit is the result of a collaboration between Code for Aotearoa and Land Information New Zealand.
This site was developed by Vaishnavi Iyer and Marcus Crane as a part of the fellowship program and is intended to support government with releasing their datasets.
All content on this site is licensed Creative Commons Attribution 4.0. Please attribute Code for Aotearoa.


Move Element Declaration To Separate File
Not very reusable if custom elements are created on the same HTML page. Externalize it.


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12/6/2018
Ohio’s season wasn’t supposed to end like this.
It wasn’t supposed to end with one final short, depressing huddle of Bobcats in the middle of Millett Hall’s floor in Oxford. They briefly wrapped their arms around each other after Meredith Howe couldn’t corral a serve from Ball State’s Kate Avila. The ball bounced off Howe’s arm. Then it bounced off Simone Miller’s head. Then it slowly bounced away.
It was the Cardinals’ winning point in the fifth set of the second-round match of the Mid-American Conference Tournament. It was also the final depressing play the Bobcats suffered this season, one that ended far sooner than anyone imagined four months earlier.
Ohio was selected to win the regular season of the conference, East Division and championship titles in August in the MAC coaches’ preseason poll. The Bobcats weren’t thinking that far ahead yet — they had several key players returning from injuries sustained in 2017, a season also filled with potential never met because some of Ohio’s best players were hurt.
Kelsey Boeing | FOR THE POST
Ohio University setter, Kyra Slavik, pulling a ball away from the net to her outside hitter in Athens, Ohio, on Friday, September 7, 2018.
But the Bobcats had every reason to believe this season would be different. Coach Deane Webb installed stricter jump limits for players in practice and took measures to ensure that his team would be healthy when Ohio was in the thick of the postseason.
“I think we're a good enough team this year to play for a while to go into the postseason,” Webb said in August. “If we're in that situation, then we're going to make sure that we still have quite a bit left in the tank that time of year.”
Webb’s plan worked. All of Ohio’s starters were healthy when it entered the MAC Tournament, and it only had one key player, Tia Jimerson, miss multiple games with an injury. The core of the Bobcats’ offensive attack — Lizzie Stephens, Jaime Kosiorek and Vera Giacomazzi — played in every set in 2018.
But it still felt like the Bobcats limped into the postseason.
It started back in September when Ohio grinded through a difficult nonconference schedule it hoped would callous itself for the rest of the season. The schedule included Nebraska, reigning NCAA Tournament champions, and four other Power 5 conference schools.
The Bobcats entered MAC play with a 5-8 record, respectable for a team that played more matches in flyover states than The Convo and faced some of the top volleyball schools in the country.
Ohio was calloused up, but it didn’t work as it may have hoped.
After a 3-1 start to begin the easiest part of its conference schedule, Ohio crumbled. It won just three matches, lost three five-set matches and could only beat one team, Eastern Michigan, with a conference record over .500 in October.
The Bobcats were nowhere near the team MAC coaches predicted when they filled out their preseason ballots. They were arguably the most mediocre team in the conference and finished the regular season 1-8 against teams with a MAC record over .500.
Ohio’s offense was supposed to be dominant. It had Stephens, a member of the 2017 All-MAC First Team; Jimerson, who won 2017 MAC Freshman of the Year; and Kosiorek, who was on pace to smash Ohio’s all-time career service ace record.
Kosiorek broke the record on Oct. 19, but that was arguably Ohio’s highest offensive moment of the season. The Bobcats finished seventh in the conference in hitting percentage (.199) and averaged a .164 hitting percentage against MAC teams with a record over .500.
Webb always wanted his offense to be aggressive — and it was — but it always seemed to falter in the biggest moments. The Bobcats were only 1-6 in five-set matches in 2018, and the lone win came in Ohio’s first five-set match on Sept. 7.
“You don’t want to be a scared-to-hit-the-ball type of team,” Webb said on Oct. 27. “You want to still go for it, but you have to earn the right to be aggressive with your feet.”
So when the Bobcats entered the MAC Tournament in Oxford, they didn’t have either of the two regular season awards many thought they would earn. All they had were seven conference wins, a disappointing seventh seed and a long road toward attaining the final award that was supposed to be there’s to lose.
There was hope, albeit a small amount, that they could still string three more wins together after sweeping Northern Illinois in the first round, but anyone who followed Ohio’s regular season could see what was next.
A disheartening end to the season.
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Mix-in class that returns matrix rows for difference in head between inside and
outside equals zeros
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for difference in head between inside and
outside equals zeros
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for zero normal flux condition.
Using the control point on the outside
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for difference in head between inside and
outside equals zeros
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for difference in head between inside and
outside equals zeros
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for head-specified conditions. (now written as heads)
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for head-specified conditions. (really written as constant potential element)
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for leaky wall condition.
Qnormal = resfac * (headin - headout)
Returns matrix part (nunknowns,neq)
Returns rhs part nunknowns
Mix-in class that returns matrix rows for mscreen condition.
Mscreen condition applied at each control point separately (so not like in ditch).
Returns matrix part (nunknowns,neq)
Returns rhs part (nunknowns)


5.Write a function that replaces non breaking white-spaces in a text with
text:
We are living in a yellow submarine.
Execute
Previous task
Next task


We are a group of CS students at the University at Buffalo and we will be using our data visualization techniques to help understand the flows of 2016 United States Presidential Election


|
Multithreaded Quicksort
|
Сlass that stores a vector of elements and can sort them More...
#include <sorting.h>
Public Member Functions | |
| Sorting (size_t size) | |
| int | NaiveQuickSort (std::vector< Type >::iterator begin, std::vector< Type >::iterator end) |
| Method that sorts with normal quicksort More... | |
| void | MultiThreadedQuicksort (std::vector< Type >::iterator begin, std::vector< Type >::iterator end) |
| Sorting method with multithreaded quicksort More... | |
| void | stdSort () |
| Sorting method with std::sort() More... | |
| std::vector< Type > & | GetVector () |
| To get a vector containing the Sorting class More... | |
| std::vector< Type > | CreateVector (size_t size) |
| Creates a vector with random values for a given number of elements More... | |
| bool | operator== (Sorting right) |
| bool | operator!= (Sorting right) |
Static Public Member Functions | |
| static void | CreateBenchmark () |
| Creates a vector with random values for a given number of elements More... | |
Сlass that stores a vector of elements and can sort them
|
static |
Creates a vector with random values for a given number of elements
| std::vector< Type > Sorting::CreateVector | ( | size_t | size | ) |
Creates a vector with random values for a given number of elements
|
inline |
To get a vector containing the Sorting class
| void Sorting::MultiThreadedQuicksort | ( | std::vector< Type >::iterator | begin, |
| std::vector< Type >::iterator | end | ||
| ) |
Sorting method with multithreaded quicksort
| int Sorting::NaiveQuickSort | ( | std::vector< Type >::iterator | begin, |
| std::vector< Type >::iterator | end | ||
| ) |
Method that sorts with normal quicksort
|
inline |
|
inline |
| void Sorting::stdSort | ( | ) |
Sorting method with std::sort()


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Files CCore/inc/ScanRange.h CCore/src/ScanRange.cpp
This part provides two Class-functions for the range scanning and the string scanning.
/* struct ScanRange<R> */ template <class R> struct ScanRange { R before; R next; // starts at element satisfies pred template <class Pred> ScanRange(R r,Pred pred); }; /* struct ScanStr */ struct ScanStr : ScanRange<StrLen> { using ScanRange<StrLen>::ScanRange; ScanStr(StrLen str,char ch); };
ScanRange scans the given range forward in the search of elements, satisfying the given predicate. Once such element is found, it splits the range on two parts: before and next. next starts at the found element. If no required elements has been found, then before sets to the full range and next to the empty.
ScanStr is the ScanRange for the StrLen type with one additional constructor: it takes the character to search it in the string.


sliderV.setPreferredSize( new Dimension( 300, 50) );
ChangeListener
As the user drags the knob across a slider change events are generated. The frequency of events depends on how fast the user drags the knob. A slow drag across the control results in an event generated for every new integer position of the knob. An event listener must potentially deal with many events everytime the user adjusts the slider.
A listener for a slider implements the
ChangeListener
interface.
This interfaces has a single method:
public void stateChanged(ChangeEvent evt)
An object that implements the interface must be registered with the slider in order to receive events:
slider.addChangeListener( ChangeListener lstn )
Often, especially in small projects, the frame that contains the slider is also its listener.
Say that you have a frame class
that contains a slider and implements ChangeListener
.
Register an object of that class with its slider:
sliderV = new JSlider( SwingConstants.VERTICAL,
0, 1000, 400);
sliderV.setMajorTickSpacing( 100 );
sliderV.setMinorTickSpacing( 50 );
sliderV.setPaintTicks ( true );
sliderV.setPaintLabels( true );
sliderV.addChangeListener( ______ );
Hint: this is the same as we have been doing with frames that
implement ActionListener
and their buttons.


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Video Editing with Adobe Premiere Pro
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Logo Designing , Portrait Vector , Cartoon Vector with Adobe Illustrator
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Edit Information
{% load staticfiles %}
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A month ago I had written about Manna, the cryptocurrency that is issued as a Universal Basic Income (UBI). It was an article in the Union Square Ventures (USV) blog that caused me to sign up for their service. The list that USV compiled contained a few more intriguing projects but, to get started, I wanted to experiment with only one. A few days ago I came across another interesting article about the intersection of cryptocurrencies and UBI, which listed only two examples, Manna and Swift (which was also in the USV list). So I decided to sign up for Swift as well.
The difference between Manna and Swift is that Manna already uses the blockchain while Swift is a centralized digital currency whose blockchain is under development. As far as its website goes, Swift looks a bit more advanced at the moment, for example, it has a complete shop and an API to build transactions around the system. Another critical difference is that Manna will automatically come to your account once a week whereas Swift comes daily but you need to claim it actively and, if unclaimed, new income payments expire after seven days. That means, if you want to use and collect Swift, you should sign in to their website at least once a week. It could be a crucial feature, though, to drive actual adoption and keep the currency valuable instead of having a large number of non-active accounts (“Karteileichen”) holding the coin.
There’s also a referral program, so if you want to try it, please sign up with my link. I’m curious how this space will develop. If I find the time I will play around with the API and offer some services in their shop.


Traffic Accidents in the U.K. - Police Force 4, 2012
Data from
data.gov.uk
, published with
Open Government License
.


Agile Maturity Quick Assessment
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Package checkers.quals
Annotation Type SubtypeOf
-
@Documented @Retention(RUNTIME) @Target(ANNOTATION_TYPE) public @interface SubtypeOf
A meta-annotation to specify all the qualifiers that the given qualifier is a subtype of. This provides a declarative way to specify the type qualifier hierarchy. (Alternatively, the hierarchy can be defined procedurally by subclassing checkers.types.QualifierHierarchy or checkers.types.TypeHierarchy.)Example:
@SubtypeOf( { Nullable.class } ) public @interface NonNull { }
If a qualified type is a subtype of the same type without any qualifier, then use
Unqualified.class
in place of a type qualifier class. For example, to express that@Encrypted C
is a subtype ofC
(for every classC
), and likewise for@Interned
, write:@SubtypeOf(Unqualified.class) public @interface Encrypted { } @SubtypeOf(Unqualified.class) public @interface Interned { }
For the root type qualifier in the qualifier hierarchy (i.e., the qualifier that is a supertype of all other qualifiers in the given hierarchy), use an empty set of values:
@SubtypeOf( { } ) public @interface Nullable { } @SubtypeOf( {} ) public @interface ReadOnly { }
Together, all the @SubtypeOf meta-annotations fully describe the type qualifier hierarchy. No @SubtypeOf meta-annotation is needed on (or can be written on) the Unqualified pseudo-qualifier, whose position in the hierarchy is inferred from the meta-annotations on the explicit qualifiers.
-
-
Required Element Summary
Required Elements Modifier and Type Required Element Description java.lang.Class<? extends java.lang.annotation.Annotation>[]
value
An array of the supertype qualifiers of the annotated qualifier
-


{% load staticfiles %}
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copyright
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(DPU)
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BY
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BOTANICAL
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OF
JAMAICA
Parish:
St.
Andrew
Date:
Mar.
7j
1958
Bot.
Name:
Olyrife
l^tjf
Olia
L.
Vern.
Name:
On
embankment,
above
Matilda's
Comer,
Kingston.
Alt.
700-900
ft.
New
York
Botanical
Garden
Presented
to
DPU
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by
T.
G.
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Collector:
T.
G.
YUNCKER
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Legend -
Level of confidence that token is an accurately-transcribed word
extremely low
very low
low
undetermined
medium
high
very high


A Coat suit is very Subtle 3-piece Outfit which is normally worn by men and women in weddings, offices, and events. Men's wear coat suit is a western formal outfit which comes in various fabrics and types. Also, Coat suit for men comes in the Coat, Pant, and Shirt but some 5- pieces coat suit comes with additional vest and Tie or Bow. Nowadays, the coat suits come in distinct varieties like Nehru style Coat suit, Long coat suit, Tuxedo suit and many more. The collections range from formal wear, party wear, casual wear and ceremonial wear with ranges that spread across shirts to suits for men, and dresses to blazers for women.


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SweetFreeStuff.com.
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Free Atkins Quick Start Kit
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Register for the Atkins Community to get your Free Atkins Kit, which
includes a Quick-Start Guide, Atkins Carb Counter 3 Atkins Bars. Sign up
link is on the right side of their homepage.
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Select that you have not used Airborne before to qualify for a free sample.
Free Airborne Everyday Chewable Tablets Sample
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--- layout: post title: Retro AUI Sandbox date: 2014-07-10 21:27:50.000000000 +01:00 type: post published: true status: publish categories: [] tags: - add-ons - atlassian - aui - confluence meta: _edit_last: '1' _thumbnail_id: '2871' tmac_last_id: '618797297606856704' author: David Simpson excerpt_separator: ---
Or how to match an Atlassian product and version to a compatible AUI Sandbox.
AUI Sandbox (latest) is really useful when fitting design patterns to Atlassian add-ons.
I keep hitting problems though. Paste some example markup into (say) a Confluence add-on using the latest version of Confluence and the UI doesn't always look the same.
Why's that? Well. The latest released version of Confluence doesn't use the latest version of AUI. That's expected I suppose, but damn, I want the correct version. How?
In the web console in your Atlassian product type AJS.version
then take a look here – https://docs.atlassian.com/aui/ – for the closest fit. You'll be able to browse down the directory structure to a compatible AUI Sandbox.
Check out these retro versions of AUI Sandbox – 3.3.0, 3.6.0 & 4.0 – pretty wild, huh?


Minimum coefficient:
Maximum coefficient:
Minimum degree:
Maximum degree:
Added space percentage:
Should the integral be definite?
Generate!


Standard Mode activates upper box and ignores lower box.
Expert Mode activates lower box and ignores upper box.


This is the website for the temporal tracks of the IPC 2018. This is the 7th IPC containing classical tracks, since the specification of PDDL 2.1 in 2002. In addition to the temporal tracks, the IPC also has classical and probabilistic tracks. You can find information about them on ipc2018.bitbucket.io.
Mailing List: https://groups.google.com/d/forum/ipc2018-temporal
| Event | Date |
|---|---|
| Call for domains / expression of interest | June 22, 2017 |
| Domain submission deadline | November, 2017 |
| Demo problems provided | January, 2017 |
| Initial planner submission | February 18, 2018 |
| Feature stop (final planner submission) | March 18, 2018 |
| Planner Abstract submission deadline | April, 2018 |
| Contest run | April - May, 2018 |
| Results announced | June, 2018 |
| Result analysis deadline | July, 2018 |
There are two temporal tracks: 'satisficing' and 'on board'. The tracks differ in the amount of resources available. The evaluation criterion is plan quality within the time available. We encourage participants to enter their planner in both tracks.
IPC 2018 will use a subset of PDDL 2.2, as in previous years. Planners must support the subset of the language involving STRIPS, durative actions and action costs. Some domains will additionally require Timed Initial Literals, and numeric state variables. We will consider providing alternative domain definitions where practical.
As in previous editions, the competitors must submit the source code of their planners that will be run by the organizers on the actual competition domains/problems, unknown to the competitors until this time. This way no fine-tuning of the planners will be possible.
All competitors must submit an abstract (max. 300 words) and a 4-page paper describing their planners. After the competition we encourage the participants to analyze the results of their planner and submit an extended version of their abstract. An important requirement for IPC 2018 competitors is to give the organizers the right to post their paper and the source code of their planners on the official IPC 2018 web site.
We will use the container technology "Singularity" this year to promote reproducibility and help with compilation issues that have caused problems in the past. More details on Singularity can be found below.
To register your planner create a repository (mercurial and git repositories are accepted) on bitbucket and give read access to ipc2018-temporal-bot. Then create one branch per track you want to participate in and name it according to the following list.
We will build all planners once a day and run them on a number of test cases. You can see the results for your planner on the build status page. Test your Singularity file locally (see below) and make sure it passes our automated tests.
A planner is officially registered in a track if it has a green box for that track on the build status page on March 18. You can still make any code changes you want until April 10. The build status on the website will update (once a day) when you push new changes the registered branches.
We will fork your repository on February 20. If you find any bugs in your code afterwards (or if we detect any while running your code), you can create a pull request to our fork with a patch fixing the bug. Only bug fixes will be accepted after the deadline (in particular, we will not accept patches modifying behavior or tuning parameters).
In an effort to increase reproducibility and reduce the effort of running future IPCs, we are using software containers that contain the submitted planner and everything required to run it. We are using Singularity which is an alternative to the well-known Docker. Singularity (in contrast to Docker) is specifically designed for scientific experiments on HPC clusters and has low overhead.
Singularity containers can be viewed as light-weight alternatives to virtual machines that carry a program and all parts of the OS that are necessary to run it. They can be based on any docker image. We created an example submission ( Singularity file) that uses the latest Ubuntu as a basis and uses apt-get to install required packages for Fast Downward. It then builds the planner from the files that are next to the Singularity file in the repository.
In the following, we collect and answer frequently asked questions about Singularity. We'll update this section as we get more questions. If you run into problems using Singularity and your problem is not answered here, let us know.
You can install Singularity locally with the following commands (See the Singularity quick start guide for more details):
sudo apt install automake
git clone https://github.com/singularityware/singularity.git
cd singularity
git checkout 2.4
./autogen.sh
./configure --prefix=/usr/local
make
sudo make install
To test your Singularity script, please install Singularity (see above) and run the following commands (replacing our demo submission with your repository):
hg clone https://bitbucket.org/ipc2018-temporal/demo-submission -r ipc-2018-temp-sat
sudo singularity build planner.img demo-submission/Singularity
mkdir rundir
cp path/to/domain.pddl rundir
cp path/to/problem.pddl rundir
RUNDIR="$(pwd)/rundir"
DOMAIN="$RUNDIR/domain.pddl"
PROBLEM="$RUNDIR/problem.pddl"
PLANFILE="$RUNDIR/sas_plan"
singularity run -C -H $RUNDIR planner.img $DOMAIN $PROBLEM $PLANFILE
The last command also shows how we will call the container during the competition: the parameter "-H" mounts the directory containing the PDDL files into the file system of the container and uses it as the user's home directory. The parameter "-C" then isolates the container from the rest of the system. Only files written to the mounted directory will be stored permanently. Other created files (for example in /tmp) only persist for the current session and are cleaned up afterwards. When running the container on two instances at the same time, their run directories and sessions will be different, so the two runs cannot interact. The container itself is read-only after its creation.
We will also build your code about once per day and show the results for all planners on the build status page
/tmp
but files written there
will be deleted after the run. See the question above
for how to set up Singularity in this way for testing.
Please contact us if your license does not permit you to package the library into the container.
If we can acquire a license, we will mount the
installation files for the library while building the
container. You can then copy the installation file into
the container in the %setup
step and
install it in the %post
step.
We currently have a license for CPLEX and make the installer for version 12.7.1 (64 bit) available during setup. You can see an example of the installation in the multi-core track of our demo submission. For all other libraries, please get in touch with us as soon as possible.
%setup
section will copy
the files from the correct branch into the container.
In the %post
section you can
then build your planner in the directory
/planner.
Bootstrap:
docker
is then parsed as Bootstrap:
docker\r
and not recognized. Using Linux-style
line endings should fix the issue.
Input: The runscript specified in the Singularity file should accept 3 parameters (4 in the cost bounded track):
./runscript <domain> <problem> <plan-output-file> [<cost-bound>]
Output: The planner must write the plan file(s) in the location specified in <plan-output-file>, except in the satisficing track where plans can also be written in files <plan-output-file>.1, <plan-output-file>.2, <plan-output-file>.3, etc.
Random Seed: We won't provide any random seed as part of the input to the planners. However, for the sake of replicability of the experiments, we ask all participants to fix a random seed and make their planner behaviour as deterministic as possible.
Optional Log Output: As part as the competition results we would like to publish detailed data about the participant planners that helps to understand the competition results in more detail. For that, we would like your collaboration in printing some stats about your planner that can be parsed afterwards. This is completely optional and we will not rely on this data to determine the winner. We will parse the following information:
Please forward the following calls to all interested parties.
Nine domains were used in the competition. A repository containing the PDDL files and the selected instances on Bitbucket.
4 planners + Optic as a base line participated in the temporal satisficing track. Planner abstracts for each planner are available as a planner abstract booklet or as individual files linked below.
The source code of all entries is publicly available on bitbucket.
To build the planners, follow the instructions in the FAQ.
Note that some planners require the LP solver CPLEX to compile.
To build such a planner, acquire a CPLEX license, download the installation files
to the directory /third-party
or change that path in the Singularity file.
Since building a singularity image requires root privileges, we recommend building the
image inside a virtual machine. For example, you may use vagrant
Vagrant with this
Vagrantfile. It expects a directory ./input
where the planner is located and an empty directory ./output
where the image
will be created.
Some planners had minor bug fixes after the competition. We have updated the last version of each planner.
The results were presented at the 28th International Conference on Automated Planning and Scheduling on June 29 in Delft. The presentation slides of this talk contain additional detail.
An overview of the scores is available online. Detailed results for all planners are available in two forms: a small repository per track contains an HTML table and a JSON file containing the parsed values for all instances (satisficing track, on-board planning track). If you require more detail about individual planner runs, the raw logs of all runs including all meta data generated by our scripts is available as well:
Based on these results, we are proudly presenting the following awards.
Contact us: ipc2018-temporal-organizers@googlegroups.com


Sharing Settings
Can be used for Research
Experience ID:<PHONE_NUMBER>
Is viewable by others
Date: {% now "d-m-Y H:m" %}
Submit
Views


[§398-11] Rules. Subject to chapter 91, the director may adopt rules necessary for the enforcement and administration of this chapter. The rules shall have the force and effect of law. [L 1993, c 152, §1]


Simple and fast online program to embed your text in image and create QR Code.
Text to embed in QR Code
Image Size : 100x100 200x200 300x300 400x400 500x500 600x600 700x700 800x800
Created by Pak Teguh


public interface TypeAdapterFactory
CONSTANT_CASE
in the corresponding Java
model:
public class LowercaseEnumTypeAdapterFactory implements TypeAdapterFactory {
public <T> TypeAdapter<T> create(Gson gson, TypeToken<T> type) {
Class<T> rawType = (Class<T>) type.getRawType();
if (!rawType.isEnum()) {
return null;
}
final Map<String, T> lowercaseToConstant = new HashMap<String, T>();
for (T constant : rawType.getEnumConstants()) {
lowercaseToConstant.put(toLowercase(constant), constant);
}
return new TypeAdapter<T>() {
public void write(JsonWriter out, T value) throws IOException {
if (value == null) {
out.nullValue();
} else {
out.value(toLowercase(value));
}
}
public T read(JsonReader reader) throws IOException {
if (reader.peek() == JsonToken.NULL) {
reader.nextNull();
return null;
} else {
return lowercaseToConstant.get(reader.nextString());
}
}
};
}
private String toLowercase(Object o) {
return o.toString().toLowerCase(Locale.US);
}
}
Type adapter factories select which types they provide type adapters
for. If a factory cannot support a given type, it must return null when
that type is passed to create(com.google.gson.Gson, com.google.gson.reflect.TypeToken<T>)
. Factories should expect create()
to be called on them for many types and should return null for
most of those types. In the above example the factory returns null for
calls to create()
where type
is not an enum.
A factory is typically called once per type, but the returned type
adapter may be used many times. It is most efficient to do expensive work
like reflection in create()
so that the type adapter's read()
and write()
methods can be very fast. In this example the
mapping from lowercase name to enum value is computed eagerly.
As with type adapters, factories must be registered with a GsonBuilder
for them to take effect:
GsonBuilder builder = new GsonBuilder();
builder.registerTypeAdapterFactory(new LowercaseEnumTypeAdapterFactory());
...
Gson gson = builder.create();
If multiple factories support the same type, the factory registered earlier
takes precedence.
Multiset
collection type. The factory can be used to create type adapters for
multisets of any element type: the type adapter for Multiset<String>
is different from the type adapter for Multiset<URL>
.
The type adapter delegates to another type adapter for the
multiset elements. It figures out the element type by reflecting on the
multiset's type token. A Gson
is passed in to create
for
just this purpose:
public class MultisetTypeAdapterFactory implements TypeAdapterFactory {
public <T> TypeAdapter<T> create(Gson gson, TypeToken<T> typeToken) {
Type type = typeToken.getType();
if (typeToken.getRawType() != Multiset.class
|| !(type instanceof ParameterizedType)) {
return null;
}
Type elementType = ((ParameterizedType) type).getActualTypeArguments()[0];
TypeAdapter<?> elementAdapter = gson.getAdapter(TypeToken.get(elementType));
return (TypeAdapter<T>) newMultisetAdapter(elementAdapter);
}
private <E> TypeAdapter<Multiset<E>> newMultisetAdapter(
final TypeAdapter<E> elementAdapter) {
return new TypeAdapter<Multiset<E>>() {
public void write(JsonWriter out, Multiset<E> value) throws IOException {
if (value == null) {
out.nullValue();
return;
}
out.beginArray();
for (Multiset.Entry<E> entry : value.entrySet()) {
out.value(entry.getCount());
elementAdapter.write(out, entry.getElement());
}
out.endArray();
}
public Multiset<E> read(JsonReader in) throws IOException {
if (in.peek() == JsonToken.NULL) {
in.nextNull();
return null;
}
Multiset<E> result = LinkedHashMultiset.create();
in.beginArray();
while (in.hasNext()) {
int count = in.nextInt();
E element = elementAdapter.read(in);
result.add(element, count);
}
in.endArray();
return result;
}
};
}
}
Delegating from one type adapter to another is extremely powerful; it's
the foundation of how Gson converts Java objects and collections. Whenever
possible your factory should retrieve its delegate type adapter in the
create()
method; this ensures potentially-expensive type adapter
creation happens only once.| Modifier and Type | Method and Description |
|---|---|
<T> TypeAdapter<T> |
create(Gson gson,
TypeToken<T> type)
Returns a type adapter for
type , or null if this factory doesn't
support type . |
<T> TypeAdapter<T> create(Gson gson, TypeToken<T> type)
type
, or null if this factory doesn't
support type
.Copyright © 2008–2014 Google, Inc.. All rights reserved.


--- layout: post title: no title date: '2014-09-17T07:30:00+02:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/97726843671 ---


title = "Login to Friends" url = "/" layout = "login" hidden = "0" [Modal WhatsThisModal] linkTitle = "What is this?" linkClasses = "help small pop" title = "What is DMA Friends?" partial = "whatisthis" [UserLogin] redirect = "friends" == ==


--- author: alunny categories: app date: '2010-01-20 00:00:00' link: http://blogs.nitobi.com/andrew/2010/07/09/PhoneGap-API-Deep-Dive permalink: /2010/01/20/phonegap-api-deep-dive/ slug: phonegap-api-deep-dive status: publish title: Phonegap Api Deep Dive type: post format: html ---
View more presentations from alunny.
At the PhoneGap Advanced Training yesterday I presented a Deep Dive into the PhoneGap API: what we expose, how to use the APIs, and how is each API is represented/supported on different. I've tweaked the slides a bit and put them online, so everyone can see where we're at: check it out!


In this talk, we will show how we build microservices in Perl. We will cover docker basics, the stack we use for creating, testing and releasing our internal Perl distributions and for creating, building and deploying our Perl microservices. Let us reveal some details before the talk begins. We use
We will shortly describe each of mentioned technologies and how we use them together to build our continuous integration stack.


2. Installation¶
2.1. Local Installation¶
2.1.1. 1. Install Dependencies (OS Specific Instructions Below)¶
- Anaconda
- NodeJS Version 8.0 or newer, which includes
npm
Also remember the database dependency in the README.
- Dependency Installation for Ubuntu
- Dependency Installation for Fedora
- Dependency Installation for OS X
- Install Augur
<IP_ADDRESS>. Ubuntu Dependency Installation Instructions¶
# Install NodeSource
curl -sL https://deb.nodesource.com/setup_8.x | sudo -E bash -
# Install NodeJS
sudo apt-get install -y nodejs
# Install MariaDB (if needed on the same machine for the GHTorrent/msr14 dataset)
sudo apt-get install -y mariadb-server
# Install Anaconda
curl https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh > Anaconda.sh
chmod +x Anaconda.sh
# You must agree to Anaconda's license terms to proceed
./Anaconda.sh -b
rm Anaconda.sh
# [Install Augur](#Install)
<IP_ADDRESS>. Fedora Dependency Installation Instructions¶
# Install NodeSource
curl -sL https://rpm.nodesource.com/setup_10.x | sudo -E bash -
sudo yum install -y nodejs
# Install NodeJS
sudo apt-get install -y nodejs
# Install MariaDB (if needed on the same machine for the GHTorrent/msr14 dataset)
sudo apt-get install -y mariadb-server
# Install Anaconda
curl https://repo.anaconda.com/archive/Anaconda3-5.1.0-Linux-x86_64.sh > Anaconda.sh
chmod +x Anaconda.sh
# You must agree to Anaconda's license terms to proceed
./Anaconda.sh -b
rm Anaconda.sh
# [Install Augur](#Install)
<IP_ADDRESS>. Mac OSX Dependency Installation Instructions¶
# Install Homebrew
/usr/bin/ruby -e "$(curl -fsSL https://raw.githubusercontent.com/Homebrew/install/master/install)"
# Install NodeJS
brew install wget node
# Install MariaDB (if needed on the same machine for the GHTorrent/msr14 dataset)
brew install wget mariadb
# Install Anaconda
cd ~/Downloads
wget https://repo.anaconda.com/archive/Anaconda3-5.1.0-MacOSX-x86_64.pkg
open Anaconda3-5.1.0-MacOSX-x86_64.pkg
# [Install Augur](#Install)
2.2. macOS High Sierra (and possibly older OS X Versions) Errata:¶
If you check the logs/frontend.log and find that “brunch” was not found:
brew install npm npm install -g brunch brew install yarn
If the logs look good but the webpage at localhost:3333 is empty, it could be that Yarn installed the wrong version of some libraries. In that case:
cd frontend npm install
2.3. Augur Installation Instructions¶
Clone the repo and install the libraries and tools needed by Augur
git clone https://github.com/chaoss/augur/
## Assume you are in the root from which you cloned augur
cd augur ## To get to augur root, where the make files live
# If you are going to do active development, please use the dev branch
git checkout dev
# Install the Python and Node tools and libraries needed
sudo make install-dev # some libraries require a root install.
# Ignore node-pre-gyp install errors asking for cairo library or install cairo library. Augur works either way.
Make sure you have a database user that has select access to the database where you installed `GHTorrent <http://ghtorrent.org/>`__ and all privileges on another database for Augur.
CREATE USER 'augur'@'localhost' IDENTIFIED BY 'password';
GRANT SELECT ON ghtorrent.* TO 'augur'@'localhost';
CREATE DATABASE augur;
GRANT ALL PRIVILEGES ON augur.* TO 'augur'@'localhost';
Augur runs in an Anaconda environment. To get started, activate the environment and then
run augur
.
conda activate augur
augur
After you run the augur
command for the first time, a configuration file called augur.config.json
will automatically be generated.
Reference the sample configuration file (sample.config.json
) on how to
set up the server, development, and cache options, as well as the plugin connections.
For all the API’s and visualiazations to work, you will need to include:
For local API testing, you will need a Postman API key.
You’re ready to rock! To start both the frontend and backend, run:
make dev


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If you are bored of looking at thousands of websites to find interesting research groups or if you are tired of sending emails without receiving any answer...
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Plugins
If you've built something cool with Video.js, you can easily share it with the rest of the world by creating a plugin. Although, you can roll your own, you can also use generator-videojs-plugin, a Yeoman generator that provides scaffolding for video.js plugins including:
Step 1: Write Some Javascript
You may have already done this step. Code up something interesting and then wrap it in a function.  By convention, plugins take a hash of options as their first argument:
function examplePlugin(options) {
this.on('play', function(e) {
console.log('playback has started!');
});
};
When it's activated, this
will be the Video.js player your plugin is attached to. You can use anything you'd like in the Video.js API when you're writing a plugin: change the src
, mess up the DOM, or listen for and emit your own events.
Step 2: Registering A Plugin
It's time to give the rest of the world the opportunity to be awed by your genius. When your plugin is loaded, it needs to let Video.js know this amazing new functionality is now available:
videojs.plugin('examplePlugin', examplePlugin);
From this point on, your plugin will be added to the Video.js prototype and will show up as a property on every instance created. Make sure you choose a unique name that doesn't clash with any of the properties already in Video.js. Which leads us to...
Step 3: Using A Plugin
There are two ways to initialize a plugin. If you're creating your video tag dynamically, you can specify the plugins you'd like to initialize with it and any options you want to pass to them:
videojs('vidId', {
plugins: {
examplePlugin: {
exampleOption: true
}
}
});
If you've already initialized your video tag, you can activate a plugin at any time by calling its setup function directly:
var video = videojs('cool-vid');
video.examplePlugin({ exampleOption: true });
That's it. Head on over to the Video.js wiki and add your plugin to the list so everyone else can check it out.
How should I use the Video.js icons in my plugin?
If you'd like to use any of the icons available in the Video.js icon set, please target them via the CSS class names instead of codepoints. The codepoints may change between versions of the font, so using the class names ensures that your plugin will stay up to date with any font changes.


Paper Submission
Authors are invited to submit their manuscripts (in pdf format) written in English by the deadline via the Easychair submission system (link is shown below). All submissions will be refereed by experts in the field based on originality, significance, quality and clarity. All contributions must be original, should not have been published elsewhere and must not be submitted elsewhere during the review period.
The nominal length of each paper is 8 pages and any paper that exceeds this limit will incur extra page charges on the registration form. In any cases, a paper must not exceed 12 LNCS pages. Papers must comply with the format of Springer LNCS/LNAI Proceedings. (see www.springer.com/lncs)
If you are interested in submitting a paper to a special session or a workshop instead of the regular session, you still need to submit the paper via the EasyChair submission system, and select the corresponding special session/workshop in the track list. With regard to the format and length of the papers, the general rules described above for regular submissions are applied, unless stated otherwise in the description of the corresponding special session/workshop. See the list of WS/SS here


{% load static %}
Semi-Restful Users
New User
Edit User
Show User
Create User
Delete User
Update User


video-player Demo
video-player with progressive enhancement
video-player for youtube + repair to correctly normalize embed address
video-player for youtube with timestamp
This is a video caption.
video-player for vimeo + repair to correctly normalize embed address
video-player for any address
video-player responsive, even if width/height defined
video-player with not-responsive flag to disable it
video-player with sources and tracks
This is a video caption.
audio player with transcript


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Dan Biggar personal points haul on return for Northampton secures victory
by By Online EditorsDan Biggar kicked 20 points to steer Northampton to an impressive 25-14 victory over Lyon in their Heineken Champions Cup opener at Franklin’s Gardens.
Back from World Cup duties for Wales, it was Biggar’s first appearance for Saints this season and his six penalties and the conversion of Rory Hutchinson’s try helped his side to a hard-fought success.
Replacement Thibaut Regard scored two tries for Lyon, both of which Jonathan Wisniewski converted.
This season, Lyon have won eight of the opening nine league games to lead the Top 14 but they were no match for the home side, who also saw England World Cup squad members Courtney Lawes, Piers Francis and Lewis Ludlam return to the fray.
Biggar gave Saints a fourth-minute lead with a straightforward penalty after a superb defence-splitting run from number eight Teimana Harrison had caused Lyon to infringe.
The visitors’ offending continued as they struggled to contain Northampton’s explosive start and it was no surprise when they fell further behind to a second Biggar penalty.
Saints’ only try came after 19 minutes when they secured a platform in the French 22 after Cobus Reinach was tackled in the air.
From the line-out, Northampton retained possession for the elusive Hutchinson to slip attempted tackles from three defenders to score.
Biggar’s conversion gave his side a 13-0 lead at the end of a one-sided first quarter but minutes later Lyon ought to have opened their account but three-quarters Charlie Ngatai and Joshua Tuisova made a hash of a golden scoring opportunity.
That miss was typical of Lyon’s first-half efforts as they made a whole host of unforced errors with their cause not being helped by the loss of Jonathan Pelissie and Pierre-Louis Barassi through injury.
Northampton made them pay for their profligacy with Biggar firing over two penalties in quick succession to give his side a 19-0 half-time advantage.
At the interval, Saints lost Francis through injury with Matt Proctor coming on for his debut but it did not stop their impetus as Biggar soon knocked over another kick.
The French team suffered another injury blow when wing Tuisova hobbled off before they made three further substitutions simultaneously in an attempt to reverse their fortunes.
It paid dividends as the Lyon pack became increasingly dominant and after Harrison was sin-binned, they came onto the scoreboard with a 60th-minute try from Regard.
Saints brought on 108-times capped All Black prop Owen Franks for his debut before Biggar succeeded with his sixth penalty to seal victory.
Harrison returned from the bin but the second half belonged to Lyon and they were rewarded with a second try from Regard.
The game in pictures:


Town of Preston
Today's Weather
Current Condition:
Current Temperature: F°
High: F°
Low: F°
Wind Speed: MPH
Wind Chill:
Humidity:
Events
5 Day Forcast
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Tuesday
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Wednesday
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Thursday
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How The Clouds Role
By Daniel Reeves
There is no such thing as the middle of nowhere. Everywhere is somewhere to sombody. As you stand at the intersection of a country road and nowhere, you begin to feel time. Time in those moments seems to freeze in the summer heat.  This is cloud counrty, the golden grasses dance under the cotton candy puff that floats overhead, shades of grays, whites, purple, and blue swirl. This spot is boring, it is timeless, it may be the most interesting place on earth not for what may have happend but what did happen. What happened here you ask. I respond by whispering "time rolled".
Contact Information
FO'Drizzle Weather Forcast
Phone:<PHONE_NUMBER>
Email: fo'drizzle@weather.com


| Constants |
| PUSH |
Formula tokens containing the op-code obtained from this offset
describe a formula operand token that will be pushed onto the formula
stack while the formula is interpreted.
|
| CALL |
|
| STOP |
Formula tokens containing the op-code obtained from this offset
instruct the formula interpreter to immediately stop interpreting the
formula.
|
| EXTERNAL |
Formula tokens containing the op-code obtained from this offset
describe the reference to an external function (e.g. add-in function)
used in formulas.
|
| NAME |
Formula tokens containing the op-code obtained from this offset
describe the reference to a defined name (also known as named range)
used in formulas.
|
| NO_NAME |
Formula tokens containing the op-code obtained from this offset
describe an invalid name that resolves to the #NAME? error in formulas.
|
| MISSING |
Formula tokens containing the op-code obtained from this offset
describe an empty function parameter.
|
| BAD |
Formula tokens containing the op-code obtained from this offset
describe "bad" data in a formula, e.g. data the formula parser was not
able to parse.
|
| SPACES |
Formula tokens containing the op-code obtained from this offset
describe whitespace characters within the string representation of a
formula.
|
| MAT_REF |
|
| DB_AREA |
Formula tokens containing the op-code obtained from this offset
describe the reference to a database range used in formulas.
|
| MACRO |
Formula tokens containing the op-code obtained from this offset
describe the reference to a macro function called in a formula.
|
| COL_ROW_NAME |
|
| Constants' Details |
PUSH
const long PUSH = 0;
- Description
- Formula tokens containing the op-code obtained from this offset
describe a formula operand token that will be pushed onto the formula
stack while the formula is interpreted.
The FormulaToken::Data member shall contain one of
the following values:
- A value of type
double for literal floating-point
constants.
- A
string for literal text.
- A
any [][] for a literal array. The contained
values shall be of type double or string .
Floating-point values and strings may occur together in an array.
- A struct of type SingleReference for a reference to a
single cell in the own document.
- A struct of type ComplexReference for a reference to
a range of cells in the own document.
- A struct of type ExternalReference for a reference to
a cell, a range of cells, or a defined name in an external document.
|
|
| CALL
|
STOP
const long STOP = 2;
- Description
- Formula tokens containing the op-code obtained from this offset
instruct the formula interpreter to immediately stop interpreting the
formula.
The FormulaToken::Data member is not used
and should be empty.
|
|
EXTERNAL
const long EXTERNAL = 3;
- Description
- Formula tokens containing the op-code obtained from this offset
describe the reference to an external function (e.g. add-in function)
used in formulas.
The FormulaToken::Data member shall contain a
string with the programmatical name of the function, e.g.
"com.sun.star.sheet.addin.Analysis.getEomonth" for the EOMONTH
function from the Analsysis add-in.
|
|
NAME
const long NAME = 4;
- Description
- Formula tokens containing the op-code obtained from this offset
describe the reference to a defined name (also known as named range)
used in formulas.
The FormulaToken::Data member shall contain an
integer value of type long specifying the index of the
defined name. This index can be obtained from the defined name using
its NamedRange::TokenIndex property.
- See also
- NamedRange
|
|
NO_NAME
const long NO_NAME = 5;
- Description
- Formula tokens containing the op-code obtained from this offset
describe an invalid name that resolves to the #NAME? error in formulas.
The FormulaToken::Data member is not used
and should be empty.
|
|
MISSING
const long MISSING = 6;
- Description
- Formula tokens containing the op-code obtained from this offset
describe an empty function parameter.
Example: In the formula =SUM(1;;2) the second
parameter is empty and represented by a formula token containing the
"missing" op-code.
The FormulaToken::Data member is not used
and should be empty.
|
|
BAD
const long BAD = 7;
- Description
- Formula tokens containing the op-code obtained from this offset
describe "bad" data in a formula, e.g. data the formula parser was not
able to parse.
The FormulaToken::Data member shall contain a
string with the bad data. This string will be displayed
literally in the formula.
|
|
SPACES
const long SPACES = 8;
- Description
- Formula tokens containing the op-code obtained from this offset
describe whitespace characters within the string representation of a
formula.
Whitespace characters in formulas are used for readability and do
not affect the result of the formula.
The FormulaToken::Data member shall contain a
positive integer value of type long specifying the number
of space characters.
Attention: This may change in next versions to support other
characters than simple space characters (e.g. line feeds, horizontal
tabulators, non-breakable spaces).
|
|
| MAT_REF
|
DB_AREA
const long DB_AREA = 10;
- Description
- Formula tokens containing the op-code obtained from this offset
describe the reference to a database range used in formulas.
The FormulaToken::Data member shall contain an
integer value of type long specifying the index of the
database range. This index can be obtained from the database range
using its DatabaseRange::TokenIndex property.
- See also
- DatabaseRange
|
|
MACRO
const long MACRO = 11;
- Description
- Formula tokens containing the op-code obtained from this offset
describe the reference to a macro function called in a formula.
The FormulaToken::Data member shall contain a
string specifying the name of the macro function.
|
|
COL_ROW_NAME
const long COL_ROW_NAME = 12;
|
|
Copyright © 2013, The Apache Software Foundation, Licensed under the Apache License, Version 2.0. Apache, the Apache feather logo, Apache OpenOffice and OpenOffice.org are trademarks of The Apache Software Foundation. Other names may be trademarks of their respective owners.


Talks
Statistical Inference After Adaptive Sampling for Longitudinal Data
- Carnegie Mellon University, Aaditya Ramdas group. (Feburary 2023)
- Modern Adaptive Experimental Design and Active Learning in the Real World, Online seminar. (January 2023)
- University of Copenhagen, Center for Social Data Science with Sune Lehmann's group. (January 2023)
- INFORMS Annual Meeting, Session on "Efficient Learning via Adaptive Experimentation" organized by Daniel Russo. (October 2022)
- University of Amsterdam, Statistics Department Seminar. (September 2022)
- Joint Statistical Meeting 2022, Session on Prediction and Inference in Statistical Machine Learning organized by Tracy Ke. (August 2022) [video]
- Institute of Mathematical Statistics Annual Meeting 2022, Session on "Inference Methods for Adaptively Collected Data" as speaker and the session organizer. The speakers were Nathan Kallus, Koulik Khamaru, Evan Munro, and myself. Joseph Jay Williams and Nina Deliu chaired the session. (June 2022)
- University of Toronto, Intelligent Adaptive Interventions Lab. (June 2022)
- Apple Machine Learning Research, Health AI Team. (June 2022)
Statistical Inference with M-Estimators on Bandit Data
[slides]
Oralytics: A Mobile Health Study to Improve Oral Health Behaviors [slides]
Inference for Batched Bandits [slides]


⚠ Documentation is version-specific: This page was generated for ScottPlot 4.1.4-beta
Additional documentation and more version-specific cookbooks are on the ScottPlot Website
The population plot makes it easy to display populations as bar graphs, box-and-whisker plots, scattered values, or box plots and data points side-by-side. The population plot is different than using a box plot with an error bar in that you pass your original data into the population plot and it determines the standard deviation, standard error, quartiles, mean, median, outliers, etc., and you get to determine how to display these values.
var plt = new ScottPlot.Plot(600, 400);
// create sample data to represent test scores
Random rand = new Random(0);
double[] scores = DataGen.RandomNormal(rand, 35, 85, 5);
// First, create a Population object from your test scores
var pop = new Statistics.Population(scores);
// You can access population statistics as public fields
plt.Title($"Mean: {pop.mean} +/- {pop.stdErr}");
// You can plot a population
plt.AddPopulation(pop);
// improve the style of the plot
plt.XAxis.Ticks(true);
plt.XAxis.Grid(false);
plt.SaveFig("population_quickstart.png");
Multiple populations can be assembled into an array and plotted as a single group.
var plt = new ScottPlot.Plot(600, 400);
// create sample data to represent test scores
Random rand = new Random(0);
double[] valuesA = DataGen.RandomNormal(rand, 35, 85, 5);
double[] valuesB = DataGen.RandomNormal(rand, 42, 87, 3);
double[] valuesC = DataGen.RandomNormal(rand, 23, 92, 3);
// create population objects for each set of data values
var popA = new Statistics.Population(valuesA);
var popB = new Statistics.Population(valuesB);
var popC = new Statistics.Population(valuesC);
// combine several populations into an array and plot it
var poulations = new Statistics.Population[] { popA, popB, popC };
string[] populationNames = { "Group A", "Group B", "Group C" };
plt.AddPopulations(poulations);
// improve the style of the plot
plt.XAxis.Grid(false);
plt.XTicks(populationNames);
plt.SaveFig("population_multiple.png");
Multiple series of population groups can be plotted Here each group is clustered on the horizontal axis, and each series is given a different color and appears in the legend.
var plt = new ScottPlot.Plot(600, 400);
// Each class (A, B, C) is a series.
// Each semester (fall, spring, summer A, summer B) is a group.
// create sample data to represent test scores for each class in each semester
Random rand = new Random(0);
double[] scoresAfall = DataGen.RandomNormal(rand, 35, 85, 5);
double[] scoresBfall = DataGen.RandomNormal(rand, 42, 87, 5);
double[] scoresCfall = DataGen.RandomNormal(rand, 23, 82, 5);
double[] scoresAspring = DataGen.RandomNormal(rand, 35, 84, 3);
double[] scoresBspring = DataGen.RandomNormal(rand, 42, 88, 3);
double[] scoresCspring = DataGen.RandomNormal(rand, 23, 84, 3);
double[] scoresAsumA = DataGen.RandomNormal(rand, 35, 80, 5);
double[] scoresBsumA = DataGen.RandomNormal(rand, 42, 90, 5);
double[] scoresCsumA = DataGen.RandomNormal(rand, 23, 85, 5);
double[] scoresAsumB = DataGen.RandomNormal(rand, 35, 91, 2);
double[] scoresBsumB = DataGen.RandomNormal(rand, 42, 93, 2);
double[] scoresCsumB = DataGen.RandomNormal(rand, 23, 90, 2);
// Collect multiple populations into a PopulationSeries.
// All populations in a series will be styled the same and appear once in the legend.
var popsA = new Statistics.Population[] {
new Statistics.Population(scoresAfall),
new Statistics.Population(scoresAspring),
new Statistics.Population(scoresAsumA),
new Statistics.Population(scoresAsumB)
};
var popsB = new Statistics.Population[] {
new Statistics.Population(scoresBfall),
new Statistics.Population(scoresBspring),
new Statistics.Population(scoresBsumA),
new Statistics.Population(scoresBsumB)
};
var popsC = new Statistics.Population[] {
new Statistics.Population(scoresCfall),
new Statistics.Population(scoresCspring),
new Statistics.Population(scoresCsumA),
new Statistics.Population(scoresCsumB)
};
// create a population series for each array of populations and give it a label
var seriesA = new Statistics.PopulationSeries(popsA, "Class A");
var seriesB = new Statistics.PopulationSeries(popsB, "Class B");
var seriesC = new Statistics.PopulationSeries(popsC, "Class C");
var allSeries = new Statistics.PopulationSeries[] { seriesA, seriesB, seriesC };
// create a MultiSeries from multiple population series and plot it
var multiSeries = new Statistics.PopulationMultiSeries(allSeries);
plt.AddPopulations(multiSeries);
// improve the style of the plot
string[] groupNames = new string[] { "Fall", "Spring", "Summer A", "Summer B" };
plt.XTicks(groupNames);
plt.XAxis.Grid(false);
plt.Legend();
plt.SaveFig("population_multiSeries.png");
Populations can be displayed many different ways. Scatter values can be displayed on either side of the bar or bar. Populations can be shown as bar graphs instead of box plots. Public fields allow many additional customizations.
var plt = new ScottPlot.Plot(600, 400);
// create sample data to represent test scores
Random rand = new Random(0);
double[] scoresA = DataGen.RandomNormal(rand, 35, 72, 7);
double[] scoresB = DataGen.RandomNormal(rand, 42, 57, 10);
double[] scoresC = DataGen.RandomNormal(rand, 23, 79, 5);
// To create a population series we need to start with an array of populations.
// In this example each population series just has one population in it.
var popsA = new Statistics.Population[] { new Statistics.Population(scoresA) };
var popsB = new Statistics.Population[] { new Statistics.Population(scoresB) };
var popsC = new Statistics.Population[] { new Statistics.Population(scoresC) };
// create a PopulationSeries for each set of scores, naming it in the process
var seriesA = new Statistics.PopulationSeries(popsA, "Class A");
var seriesB = new Statistics.PopulationSeries(popsB, "Class B");
var seriesC = new Statistics.PopulationSeries(popsC, "Class C");
var seriesArray = new Statistics.PopulationSeries[] { seriesA, seriesB, seriesC };
// create a MultiSeries object by passing in the array of series objects and plot it
var multiSeries = new Statistics.PopulationMultiSeries(seriesArray);
var popPlot = plt.AddPopulations(multiSeries);
// now customize its public fields to extensively customize its display options
popPlot.DistributionCurve = true;
popPlot.DistributionCurveLineStyle = LineStyle.Dash;
popPlot.ScatterOutlineColor = System.Drawing.Color.Transparent;
popPlot.DataFormat = ScottPlot.Plottable.PopulationPlot.DisplayItems.ScatterAndBox;
popPlot.DataBoxStyle = ScottPlot.Plottable.PopulationPlot.BoxStyle.BarMeanStDev;
// colors are managed at the population series level:
foreach (var popSeries in popPlot.MultiSeries.multiSeries)
popSeries.color = Tools.GetRandomColor(rand);
// improve the style of the plot
plt.Legend(location: Alignment.LowerLeft);
plt.XAxis.Ticks(false);
plt.XAxis.Grid(false);
plt.YAxis.MajorGrid(lineStyle: LineStyle.Dot);
plt.SetAxisLimits(yMin: 0);
plt.SaveFig("population_advanced.png");


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No direction links:
With boundary links:
maxSize = 5, rotate = false
maxSize = 5, rotate = true
maxSize = 5, rotate = true, ellipses = false


Notebooks
Story: !khannumup (or Petros Willems): his personal history
!khannumup (or Petros Willems): his personal history
Title
!khannumup (or Petros Willems): his personal history
Collection
Summary
Lloyd notes some personal information about !khannumup (or Petros Willems) including the names of his relations, his place of origin and his wrongful imprisonment.
Comments
1) See also 'Memo for Miss Lloyd' (regarding some personal details of 'Petros Willems' and 'Willem') (a copy), 2) This story is found in Book XVI-1
Contributors
Date
September 1880
Categories
Keywords
!khannumup (or Petros Willems) , !khannumup (from Great Namaqualand) , !khannumup (and Mr Martin) , !khannumup (his personal history) , !khannumup (the names of his relations) , !khannumup (where he came from) , !khannumup (his dwelling-place, Ou-op) , !khannumup (the name of his family, the Kaross-Herbers) , !khannumup (his father's place was Kopjes Kuil, or |neidas) , !khannumup (was named after his mother) , !khannumup (and the Bondelswarts) , !khannumup (was wrongfully imprisoned) , !khannumup (details of his capture and imprisonment) , !khannumup (was released from Robben Island) , !khannumup (was on his way home) , !khannumup (his genealogy) , names (of !Ora, or 'Hottentots') , names (of !khannumup's relations) , names (of !khannumup's country) , names (of places in !khannumup's country) , names (!khannumup's other) , names (of a white man) , names (!khannumup's family name) , personal history (of !khannumup) , genealogy (of !khannumup) , Namaqualand (Great) , Namaqualand (!khannumup's origins)
Story Pages
10 318v and inner front cover of XVI-1


Harlowe’s represents the homecoming celebration for four friends who grew up in Pasadena, and together own and operate the restaurant. Chef Tony Alcazar (The Bottle Room) and Team Harlowe’s are here with a mission to bring the French Dip to Old Town.


| 002:280 Khan | : |
And if the debtor is in a hard time (has no money), then grant him time till it is easy for him to repay, but if you remit it by way of charity, that is better for you if you did but know. |
| 002:280 Maulana | : |
And if (the debtor) is in straitness, let there be postponement till (he is in) ease. And that you remit (it) as alms is better for you, if you only knew. |
| 002:280 Pickthal | : |
And if the debtor is in straitened circumstances, then (let there be) postponement to (the time of) ease; and that ye remit the debt as almsgiving would be better for you if ye did but know. |
| 002:280 Rashad | : |
If the debtor is unable to pay, wait for a better time. If you give up the loan as a charity, it would be better for you, if you only knew. |
| 002:280 Sarwar | : |
One who faces hardship in paying his debts must be given time until his financial condition improves. Would that you knew that waiving such a loan as charity would be better for you! |
| 002:280 Shakir | : |
And if (the debtor) is in straitness, then let there be postponement until (he is in) ease; and that you remit (it) as alms is better for you, if you knew. |
| 002:280 Sherali | : |
And if the debtor be in straitened circumstances, then grant him respite till a time of ease. And that you remit it as charity shall be better for you, if you only knew. |
| 002:280 Yusufali | : |
If the debtor is in a difficulty, grant him time Till it is easy for him to repay. But if ye remit it by way of charity, that is best for you if ye only knew. |
Concepts/Themes Covered: تنظيم العلاقات المالية > الربا Organizing Financial Relationships>Usury تنظيم العلاقات المالية > الصدقة Organizing Financial Relationships>Charity تنظيم العلاقات المالية > المداينة Organizing Financial Relationships>Lending Money
This tool uses eight English parallel translations for the Holy Quran imported from Mr. Clay Smith. You can also visit Qurany Concepts for browsing the Quran themes or topics. If you want to search the Holy Quran for keywords, please visit Qurany Keywords.


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Hi! Here's my day 1 homework.
In this game, the user is prompted how many questions he or she wants to answer. The game then generates an array of randomized numbers equal to the number of questions the user selected (avoiding duplicates). The numbers in the array are associated with functions, which are then called. The questions are printed to the dom (added as list elements), as are the user's responses. A right or wrong display is also written to the page, and rewritten each time the user answers a new question. Finally, a summary is displayed as an alert when the user finishes the game.