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main(String[])
- Static method in class astarDemo.
astardemo
main(String[])
- Static method in class audio.
test
main(String[])
- Static method in class config.
configTest
main(String[])
- Static method in class filedrop.
Example
Runs a sample program that shows dropped files
main(String[])
- Static method in class
PaintComponent
main(String[])
- Static method in class PBEngine.Editor2.
Demo
main(String[])
- Static method in class PBEngine.Editor2.
EditorWindow
Main
- Class in
PBEngine
Main()
- Constructor for class PBEngine.
Main
main
- Variable in class PBEngine.
Main
main(String[])
- Static method in class PBEngine.
Main
main(String[])
- Static method in class PBEngine.
mapParser
main(String[])
- Static method in class PBEngine.Rendering.
MapTest
main(String[])
- Static method in class PBEngine.vfx.
engineWindow
MapPanel
- Class in
PBEngine.Rendering
MapPanel(Supervisor)
- Constructor for class PBEngine.Rendering.
MapPanel
mapParser
- Class in
PBEngine
mapParser()
- Constructor for class PBEngine.
mapParser
MapTest
- Class in
PBEngine.Rendering
MapTest(Supervisor)
- Constructor for class PBEngine.Rendering.
MapTest
Creates new form MapTest
mass
- Variable in class PBEngine.gameObjects.
gameObject
masterParent
- Variable in class PBEngine.gameObjects.
gameObject
masterParent
- Variable in class PBEngine.
VSRadManager
metaImage
- Class in
PBEngine.Rendering.extra
metaImage(BufferedImage, Point2D)
- Constructor for class PBEngine.Rendering.extra.
metaImage
MIME_TYPE
- Static variable in class filedrop.
FileDrop.TransferableObject
The MIME type for
FileDrop.TransferableObject.DATA_FLAVOR
is application/x-net.iharder.dnd.TransferableObject.
mode
- Variable in class PBEngine.Editor2.
Editor
mouse_projected
- Variable in class PBEngine.
Engine
mouseX
- Variable in class PBEngine.
Engine
mouseY
- Variable in class PBEngine.
Engine
music
- Variable in class PBEngine.
directory
musicTrack
- Variable in class PBEngine.
Supervisor
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Welcome to our shop. if you have any questions, You can email
{$data.email}
, and
we will respond as soon as possible. Thank you!


You've found a secret space.
It seems as though you are lost in the woods. Take a moment. Breathe. And then back on your way, my friend.
← Back to juliaelman.comIt seems as though you are lost in the woods. Take a moment. Breathe. And then back on your way, my friend.
← Back to juliaelman.com


Software Engineer in San Francisco
It took me a while to understand hash tables (HTs). While learning about HTs in class, I so boldly wanted to ask “uhhh, aren’t these just nested arrays?” And I found out the answer could be yes, if I so wished to implement them via nested arrays.
Hash tables are a solution to storing key-value pairs with a better time complexity than object literals. Arrays are numerically ordered lists, so its time complexity is constant. If you want the value third down from the top of the list, boom, you have it. There’s no need to search the entire array for what’s in third place. Object literals store key-value pairs where the keys are strings, therefore have a liner time complexity. There is no particular order of the keys in an object literal, so worst case scenario you could have to search the entire pbject ebfore finding your target…. “Ain’t nobody got time for that!”
Both arrays and object literals are similar their values are stored w a uniq key or index. Hash tables work the same way, but their indeces are accessed via a hash key.
A hash key is a randomly generated index number created by a hashing function. A hashing function outputs an integer for every input string. For example, if the input string “cat” outputs a 3, “cat” will ALWAYS output 3. But if “dog” also outputs a 3, it will always output a 3. And it only works one way. A proper hashing function shouldn’t accept an integer and return the associated string. Its one-way relationship is why hashing functions are an essential part of security measures, such as password safety in databases.
So after the hashing function generates a random number as the hash index, this is where the incoming value is stored in the hash table. Because hash keys are randomly generated, a hash index can be supplied more than once for an incoming set of key-value pairs. This is known as a collision. How do we handle collisions?
I’ll tell you how. Buckets and tuples!  More arrays to be nested! Genius! By creating some logic to test whether something already lives at the given hash index, you can create more room, via buckets and tuples, for colliding data in your hash table.
A tuple is an array that will hold your incoming keys and values pairs at the 0th and 1st indexes of the tuple, respectively. For example, the key “cat” will be stored at index 0 and “fluffy” will be stored at index 1.
Every kay-value pair lives inside a tuple.
When two different string keys are given the same hash index, this is a collision. If one tuple already lives inside a bucket, and another tuple is assigned the same space, they collide by making the bucket bigger, holding both tuples now.
All this is beneficial because of time complexity. Finding “fluffy” with the key “cat” alsmot has a constant time complexity because you’re accessing the value by a number (the number equivalent to “cat”) in an ordered list.
Provided there is a limit to how many colliding tuples can live inside of one bucket, the time complexity is much better in a hash table than an object literal.
Boom.


A simple example to demonstrate the usage of liquicode_membership module for a NodeJS/SocketIO/Angular stack.
You are currently logged out
You are currently logged in as [{{ Member.member_name }}]
| Signup Time | {{ Member.member_data.signup_time }} |
|---|---|
| Login Time | {{ Member.member_data.login_time }} |
| Member Name | {{ Member.member_name }} |
| Email Address | {{ Member.member_email }} |
Path = {{ current_path }}


The ux-hierarchy-bar
can be used to display a hierarchy of items, with the rightmost node
indicating the selected item and each item to its left being an ancestor.
A popover is also present on any items that have children to allow them to be selected.
The ux-hierarchy-bar
component can be customized using the following attributes:
HierarchyBarNode
object.
standard
mode will display all parent nodes of the selected node.
collapsed
mode will display only the root node and the selected node.
All nodes in between will be hidden and accessible using a dropdown.
dropdown
mode will display all parent nodes of the selected
node, clicking anywhere on the node will allow the node to be selected.
In this mode the root node will no longer be selectable.
click
, mouseenter
and focus
.
click
, clickoutside
, escape
, mouseleave
and blur
.
The HierarchyBarNode
interface is as follows:
HierarchyBarNode
items when they are loaded.
Custom items can be added to the hierarchy bar by adding an element as content of the ux-hierarchy-bar
component and
adding one of the following attributes to the element:
uxHierarchyBarLeftAddon
- This will add the element to the left side of the hierarchy bar.uxHierarchyBarTrailingAddon
- This will add the element immediately after the last visible node.uxHierarchyBarRightAddon
- This will add the element to the right side of the hierarchy bar.
Custom node icons can be set using the *uxHierarchyBarNodeIcon
structural directive on a child element.
This directive makes the node
object available in the template context, e.g.
The following code can be used to create the example above:


Models the current scores for a trick taking card game.
bids:Bids
[read-only]
Access the bids of the game.
Implementation
public function get bids():Bids
protected var _gameCtrl:GameControl
protected var _playerTricks:NetArray
protected var _scores:NetArray
protected var _table:Table
table:Table
[read-only]
Access the table the game is taking place at.
Implementation
public function get table():Table
protected var _target:int
target:int
[read-only]
Access the target score of the game.
Implementation
public function get target():int
totalTricks:int
[read-only]
Access the total number of tricks (since last resetTricks call).
Implementation
public function get totalTricks():int
protected var _tricks:NetArray
public function Scores(gameCtrl:GameControl, table:Table, bids:Bids, target:int)
Create a new scores container.
Parameters
| gameCtrl:GameControl — the table these scores are at
|
| |
| table:Table — the bids object for the game
|
| |
| bids:Bids — the score that the teams are playing to |
| |
| target:int |
public function addScore(teamIdx:int, score:int):void
Increase a team's score. Immediately sends a ScoresEvent.SCORES_CHANGED event.
Parameters
| teamIdx:int — the index of the team scoring.
|
| |
| score:int — the amount to add to the team's total |
public function addTrick(seat:int):void
Add a trick taken by the given player. Immediately sends a ScoresEvent.TRICKS_CHANGED
event.
Parameters
| seat:int — the absolute seating position of the player at the table |
public function getBid(teamIdx:int):int
Get the total bid made by the team with the given index.
Parameters
Returns
public function getPlayerTricks(seat:int):int
Get the number of tricks taken so far by the player in the given absolute seating
position.
Parameters
Returns
public function getScore(teamIdx:int):int
Get the score of the team with the given index.
Parameters
Returns
public function getTricks(teamIdx:int):int
Get the number of tricks taken so far by the team with the given index.
Parameters
Returns
public function getWinnersAndLosers():WinnersAndLosers
Tally the current scores and get the winners and losers of the game. This considers all
teams that share the highest score to be the winners, therefore there will always be
at least one winner. There can only be multiple winners if there is a tie game, in which
case there may be no losers. It is up to the game rules how to interpret this.
Returns
protected function handleElementChanged(event:ElementChangedEvent):void
Parameters
| event:ElementChangedEvent |
protected function handlePropertyChanged(event:PropertyChangedEvent):void
Parameters
| event:PropertyChangedEvent |
public function resetScores():void
Reset the scores of all teams to 0. Immediately sends a ScoresEvent.SCORES_CHANGED event
for each team.
public function resetTricks():void
Reset the tricks taken for all teams. Immediately sends a ScoresEvent.TRICKS_CHANGED
event for each team.
protected static const PLAYER_TRICKS:String = "scores.playertricks"
protected static const SCORES:String = "scores"
protected static const TRICKS:String = "scores.tricks"


rippled creates 4 SQLite database to hold bookkeeping information about transactions, local credentials, and various other things.
It also creates the NodeDB, which holds all the objects that make up the current and historical ledgers.
The size of the NodeDB grows in proportion to the amount of new data and the amount of historical data (a configurable setting).


The calculation on this page is only illustrative and based on the data entered by the user. Hence, it may differ with the actual benefit processed by the office based on the data available in the EPFO database. In case of any mismatch, the actual benefit processed by the EPFO office will be considered final.
Preceding months - Example: If Date-of-Death is 07.04.2022 then wages and progressive balance between 04-21 to 03-22 needs to be taken for calculation of Average wages and average progressive balance.
EDLI Calculator Input
EDLI Calculator Output : Date of Death: {{dod | date:'dd-MM-yyyy'}}
Part A Calculation What are these parts?
Benefit under Part A: {{part_a.total}}
Benefit under Part B: {{part_b.total}}
Part B Calculation
Part B if Continuous service condition not satisfied or if Date of Death is before 08-01-2011: 0
EDLI Calculation is very different from other scheme calculation. As it is a Deposit linked scheme, the average progressive balance or APB is one importtant factor.
APB is average of total balance in 12(n) months prior to date of death(-any withdrawals).
The other factors are decided based on circulars issued from time to time and the applicability of the circular is based on date of death.
Hence, two major variables in EDLI calculation are Average Progressive Balance and Date of Death.
Based on Date of death many factors are decided such as Minimum, Maximum, percentage of APB to be taken etc.
What are the parts - Part A and Part B?
EDLI amount calculation is done by two formulas and the member is eligible for the amount whichever is greater. You may check the table and relevant circulars by clicking link given in input form.
Part A = Proportional amount+ Percent*(APB-Proportional)[subject to Maximum]+Additional_Percent*Amt if maximum not reached
Part B (If Continuous service conditions are satisfied) = Avg. wages up to ceiling*Factor based on Date of death+ Percent*APB[subject to Maximum]... Subject to minimum amount in case of continuous service conditions"


Docker Switzerland Meetup: Random Joke Generator
Credits: https://github.com/the-coding-pie/Random-Joke-Generator
Joke Text Goes In Here...
New Joke


JavaScript Statements
JavaScript Programs
JavaScript Line Length and Line Breaks
JavaScript Code Blocks
Hi
change


[% page.title = "Perl 5.18.0 Release Announcement" %]
We are excited to announce perl v5.18.0, the first stable release of version 18 of Perl 5.
You will soon be able to download Perl v5.18.0 from your favorite CPAN mirror or find it at:
https://metacpan.org/release/RJBS/perl-5.18.0/
SHA1 digests for this release are:
a09281aece16772ca676d842c1b24fb9f9f1a409 perl-5.18.0.tar.bz2 f5a97a9fa4e9d0ef9c4b313c5b778a0e76291ee2 perl-5.18.0.tar.gz
You can find a full list of changes in the file "perldelta.pod" located in the "pod" directory inside the release and on the web.
Perl v5.18.0 represents approximately 12 months of development since Perl v5.16.0 and contains approximately 400,000 lines of changes across 2,100 files from 113 authors.
Perl continues to flourish into its third decade thanks to a vibrant community of users and developers. The following people are known to have contributed the improvements that became Perl v5.18.0:
Aaron Crane, Aaron Trevena, Abhijit Menon-Sen, Adrian M. Enache, Alan Haggai Alavi, Alexandr Ciornii, Andrew Tam, Andy Dougherty, Anton Nikishaev, Aristotle Pagaltzis, Arthur Axel 'fREW' Schmidt, Augustina Blair, Bob Ernst, Brad Gilbert, Breno G. de Oliveira, Brian Carlson, Brian Fraser, Charlie Gonzalez, Chip Salzenberg, Chris 'BinGOs' Williams, Christian Hansen, Colin Kuskie, Craig A. Berry, Dagfinn Ilmari Mannsåker, Daniel Dragan, Daniel Perrett, Darin McBride, Dave Rolsky, David Golden, David Leadbeater, David Mitchell, David Nicol, Dominic Hargreaves, E. Choroba, Eric Brine, Evan Miller, Father Chrysostomos, Florian Ragwitz, François Perrad, George Greer, Goro Fuji, H.Merijn Brand, Herbert Breunung, Hugo van der Sanden, Igor Zaytsev, James E Keenan, Jan Dubois, Jasmine Ahuja, Jerry D. Hedden, Jess Robinson, Jesse Luehrs, Joaquin Ferrero, Joel Berger, John Goodyear, John Peacock, Karen Etheridge, Karl Williamson, Karthik Rajagopalan, Kent Fredric, Leon Timmermans, Lucas Holt, Lukas Mai, Marcus Holland-Moritz, Markus Jansen, Martin Hasch, Matthew Horsfall, Max Maischein, Michael G Schwern, Michael Schroeder, Moritz Lenz, Nicholas Clark, Niko Tyni, Oleg Nesterov, Patrik Hägglund, Paul Green, Paul Johnson, Paul Marquess, Peter Martini, Rafael Garcia-Suarez, Reini Urban, Renee Baecker, Rhesa Rozendaal, Ricardo Signes, Robin Barker, Ronald J. Kimball, Ruslan Zakirov, Salvador Fandiño, Sawyer X, Scott Lanning, Sergey Alekseev, Shawn M Moore, Shirakata Kentaro, Shlomi Fish, Sisyphus, Smylers, Steffen Müller, Steve Hay, Steve Peters, Steven Schubiger, Sullivan Beck, Sven Strickroth, Sébastien Aperghis-Tramoni, Thomas Sibley, Tobias Leich, Tom Wyant, Tony Cook, Vadim Konovalov, Vincent Pit, Volker Schatz, Walt Mankowski, Yves Orton, Zefram.
The list above is almost certainly incomplete as it is automatically generated from version control history. In particular, it does not include the names of the (very much appreciated) contributors who reported issues to the Perl bug tracker.
Many of the changes included in this version originated in the CPAN modules included in Perl's core. We're grateful to the entire CPAN community for helping Perl to flourish.
For a more complete list of all of Perl's historical contributors, please see the AUTHORS file in the Perl source distribution.
We expect to release v5.19.0 on Monday, May 20th, 2013. The next major stable release of Perl 5, version 20, should appear in May 2014.


A curriculum vitae maintained in plain text and rendered to HTML and PDF using CSS.
For more details, see the project page, or the blog post on why I switched to markdown for my CV.
Simply fork the markdown-cv repo
and edit the index.md
file directly in Github
adding your skills, jobs and education.
To transform your plain text CV into a beautiful and shareable HTML page, you have two options:
gh-pages
branch from your fork. It will only contain this webpage. You can either use git or the Github web interface.gh-pages
.Any change you want to make to your CV from then on would have to be done on the gh-pages
branch and will be immediately rendered by Github Pages.
gem install bundler jekyll
from the command line.jekyll serve
to render your CV at http://localhost:4000.index.md
file and see the changes live in your browser.The included CSS will render your CV in two styles:
s
kjhealy
the original default, inspired by kjhealy’s vitadavewhipp
is a tweaked version of kjhealy
, with bigger fonts and datesTo change the default style, simply change the variable in the
_config.yml
file.
Any other styling is possible. More CSS style contributions and forks are welcome!
Eliseo Papa (Twitter/Github/Website).


Doug
Hello, I'm Doug Klemp, a Full Stack developer with operations background in managing partner relations and publishing schedules for organizations within the digital media content sector.
Roger
Hello. My name is Roger Huba. I am a software developer with
proficiencies in HTML, CSS, JavaScript, and Python. I am and a
US Navy Veteran. I started programming at the ripe old age of 8.
1982 hacking away on my VIC 20 computer programming tank vs UFO.
I was hooked right away. Fast forward 10 years and I found myself
joining the military instead of going to college. I have previous
experience with C++, Visual Basic, and VB.net. I have certificates
in A+, Net+, Sec+, Linux+, Military Instructor, and I am a graduate
of CodeFellows. I am also a life learner having spent over 10 years
in our collegiate system. I hold a bachelors in Computer information
systems with an emphasis on computer forensics, and I hold 2 masters
degrees, the first in information systems management, and the second
in project management.
Saurav
Hello. My name is Saurav. I am a
US Army Veteran. I hold a bachelores degree in Computer Science from South Dakota State University and worked there for 3 years as full stack developer on .Net framework. !!GO Celtics!!
Chai.Narukulla
I have a background in Aerospace,E-commerce and Casino management.
I am looking to apply My new development skills to use an innovative,
user-centric approach to solve problems for others.
I believes that problem solving should be organic, data-driven, and iterative.


Chapter 3 The labour market
3.1 What this chapter is about
This chapter is about the labor market. We start with a description of how we can divide the population into groups according to economic activity. We discuss how we define employment and unemployment and two ways of measuring unemployment rates. We will also discuss the difference between the intensive and extensive margin of labor supply and briefly describe how we can quantify the demand side of the labor market and create a graphical representation of the matching efficiency in the labor market by means of the Beveridge curve.
After reading this chapter you should be able to
- Explain and apply definitions of unemployment rates:
- The survey based measure of unemployment.
- The register based measure of unemployment.
- Explain the difference between the extensive and intensive margin of labor supply.
- Create data visualizations of labor demand and the Beveridge curve.
3.2 From population data to the labor market
We can divide the total population in groups according to their economic activity. For economic analyses it is often useful to split the population in three groups by their age.
- Children
- Elderly
- Working age population
This distinction is used in most countries, but the exact definitions of groups vary from country to country. One reason for the variation in definitions is that they are linked to the institutional setting. The definition of what ages are defined as “children” will typically depend on the formal compulsory minimum school leaving age. The definition of what ages to include as the elderly will typically depend on the retirement policies.
Using the data from Eurostat, Figure 3.1 shows a stacked area chart of the population stock for the United Kingdom since 1970, split by age group. We observe that the Working age population is by far the largest group. At the beginning of the period the group of children were clearly larger than the group of elderly, but at the end of the period the two groups have quite similar sizes.
Within the working age population we can further split the population into
- In the labour force.
- Out of the labour force
Where out of the labor force consists of the following:
- Students
- Long-term sick
- Looking after family/staying home
- Retired
- Other
Let’s now focus on the labour force.The labour force consists of the following two groups:
- People who are unemployed
- People who are employed (including self-employed)
The box below summarises the break-down of the population from the full population to the labour force.
The full population can be divided into
1 Children (UK definition: Aged below 16)
2 Elderly (UK definition: Aged above 64)
3 Working age population which consist of
-
Out of the Labour Force
- Students
- Long-term sick
- Looking after family/staying home
- Retired
- Other
-
In the labour force
- People who are unemployed
- People who are employed (including self-employed)
We will now take a closer a look at the labor force by defining the categories in the labor force.
3.3 The labour force
Unemployment
Who is unemployed?
While most people have an idea about what unemployment is, the exact definition of unemployment is considerably less well known. Who is unemployed? Are retired people defined as unemployed? Are children defined as unemployed? Most people would probably say no to these questions. But there are more complex groups: Are students defined as unemployed if they don’t work? Are parents on parental leave defined as unemployed? Am I defined as unemployed if I decide not to work? The answer in all these questions is “no”.
Most countries and international statistics follow definition of unemployment specified by the International Labour Organisation (ILO). According to the ILO definition, unemployed is being
- “without a job, have been actively seeking work in the past four weeks and are available to start work in the next two weeks”.
- “out of work, have found a job and are waiting to start it in the next two weeks”.
This definition is used by the European Union (Eurostat), by the Organisation for Economic Cooperation and Development (OECD) and many national statistical offices (including the Office for National Statistics in the United Kingdom). But how do we get data on the questions above? The solution is survey data. For the United Kingdom we obtain data on unemployment from the Labour Force Survey (LFS). The LFS is conducted by the Office for National Statistics by selecting random households from the Royal Mail’s Postcode Address File. Once households are selected to participate in the survey, they are contacted and asked whether “they are without a job, have been actively seeking work…” and so on. This data is then included in the official unemployment numbers.
An internationally coherent definition of unemployment
All European Union member states are obliged to run labor force surveys on at least an annual basis. For the United Kingdom, the survey has been quarterly since 1992. The Office for National Statistics also release monthly data, although this is not included in the official statistics.
The ILO unemployment definition above is also called the survey measure of unemployment. This name is based on the fact that the most common alternative measure of unemployment is based on register data from administrative records. *Registered unemployment is measured by using data on the number of benefit claimants. Instead of asking people about whether they are looking for a job and not working, we assume that people that claim benefits are unemployed. Statistical offices typically release both measures of unemployment. The register and survey based measures of unemployment typically deviate substantially because:
- People might be looking for jobs even if they don’t claim benefits because they are not eligible for benefits.
- People might be claiming benefits without looking for jobs.
1. The survey based measure of unemployment (also known as the ILO definition).
-
Based on surveys of random subsamples of the population.
-
People are defined as unemployed if they are
- without a job, have been actively seeking work in the past four weeks and are available to start work in the next two weeks
- out of work, have found a job and are waiting to start it in the next two weeks
2. The register based measure of unemployment.
-
Based on administrative registers of benefit claimants.
- How many individuals received unemployment benefits.
Let’s now look at the other part of the labour force. The employed.
Employment
An internationally coherent definition of employment
Just like unemployment, measuring employment is not straightforward and the ILO has specified a definition, which the Office for National Statistics applies in the LFS. Following this definition people are employed if they are above 16 and satisfy one of the following conditions:
- work at least one hour for pay in a week, people who are temporarily away from jobs.
- are on Government-supported training/employment programs.
- do unpaid family work.
Paid work refers to both employees and self-employed, and unpaid family work refers to working for family business without receiving a formal wage, but still benefiting from the business.
It is important to note that employment is not the same as jobs. Employment measures refers to people, and people with several jobs will only be counted once in the employment statistics. In the job statistics, each job is counted.
Like with unemployment, we can also compute register based measures of employment by using information from income tax payments, insurance status and other administrative registers.
1. The survey based measure of employment.
- work at least one hour for pay in a week, people who are temporarily away from jobs.
- are on Government-supported training/employment programs.
- do unpaid family work.
2. The register based measure of employment.
- information from income tax payments, insurance status and other administrative registers.
The unemployment rate
Having defined who is unemployed and who is employed it is straightforward to define the labour force. The labour force is simply the sum of these two groups:
\[\begin{align} \text{Labour force}=Unemployed+Employed \end{align}\]
We are now ready to calculate the unemployment rate. The unemployment rate is the fraction of the labor force that is unemployed:
\[\begin{align} \text{Unemployment rate}&=\frac{Unemployed}{\text{Labour force}}\nonumber\\ &=\frac{Unemployed}{Unemployed+Employed} \end{align}\]
How can the unemployment rate change? If people move from unemployment to employment, the unemployment rate clearly goes down, as the size of the denominator is unchanged and the size of the numerator is reduced. Vice versa if people move from employment to unemployment.
What happens to the unemployment rate if people move from unemployment to out of the labor force? The unemployment rate will go down, everything else equal, because the numerator is increased by relatively more than the numerator. Vice versa if people go from out of the labor force to unemployment.
An illustration using data for United Kingdom
Figure 3.2 shows the unemployment rate for the United Kingdom using both measures. As you can see, for the period considered, the registered unemployment rate is always lower than the survey based measure of unemployment. Why do you think this is the case? And why is the difference not constant over time?
Recall that the register based unemployment is based on the number of people receiving benefits. However not everyone who is looking for a job is necessarily eligible for unemployment benefits. In that case the survey based unemployment rate will be higher than the register based. On the other hand some people who receive benefits might not be actively looking for jobs. In that case the survey based unemployment measure will be lower. Whether the former or latter dominates partly depends on the institutional setting. Who is eligible for benefits and who is not. That is also one reason for why the difference between the two lines might change over time. It can be because benefit policies change. It could also be because economic conditions change, and the composition of job seekers change.
3.3.1 Out of the labor force
In the United Kingdom, the labor force is about half of the population (about 33 out of 66 million). What about the rest? First, we’ve already covered children and individuals aged above 64. But then there are still about 8.9 million people left, where did they go? This group is called economically inactive by the Office for National Statistics. We covered them in the box above. They include students, long-term sick and people who decide not to work. Personally I am not a big fan of calling them economically inactive, but that is the definition. The Office for National Statistics also calculates inactivity rate is defined as follows:
\[\begin{align} \text{Inactive rate}=\frac{\text{Number of people aged 16 to 64 not in work/ available for work}}{\text{All people aged 16 to 64}} \end{align}\]
So what do the “economically inactive” people do (or people who are not in the labor force, as I prefer to call them)? In the UK, the distribution of economically inactive is approximately as follows:
- 27 percent are studying.
- 24 percent are looking after the family/staying home.
- 23 percent are long-term sick.
- 13 percent are retired.
Now that we have divided the population into groups according to their economic activity, we are ready to create graphs and tables on unemployment rate, employment rates and inactivity rates.
Imagine that you are working for a newly elected prime minister, and the prime minister promised to lower unemployment rates, how could you achieve this?
-
Abandon the survey based measure of unemployment (the ILO measure), and only use the register based measure, because the latter tends to be lower.
-
Tighten the criteria for receiving unemployment benefits, as this will make less people receive benefits, which will lower the register based unemployment measure.
-
Introduce “leave” policies that allow unemployed workers to be “on leave” instead of unemployment. This will move people out of the unemployment category.
Are these policies good?
- There might be normative arguments against and for these policies, but it is importantly: the immediate reduction in unemployment is caused by relabeling (or classification) of people, not by changing their actual situation.
- (it might be that labeling people as “unemployed” or a leave policy affects the unemployment rate beyond the pure relabeling effect).
Labor supply: Extensive vs. intensive margin
What about the intensive margin?
So far we have only discussed whether people are working or not. This is called the extensive margin of the labor supply.
However, labor supply is both a function of whether people work, and how much they work. The former is called the extensive margin, and the latter is called the intensive margin. The extensive margin is typically a binary variable (to work or not), while the intensive margin is a continuous variable (how many minutes or hours of work). In the section about people we saw how we could decompose changes in live births in changes in the general fertility rates and changes in the number of of women in childbearing ages. We could now use the same approach to decompose changes in labor supply in changes in how many people work, and changes in how many hours people on average work.
Policy relevance of the intensive margin
The distinction between extensive and intensive margin is important in many policy discussions. For example if we adjust tax policies, we might be interested in how it affects people’s decision to join the labor market (the extensive margin) and people’s decision on how much to work (the intensive margin).
Measuring labor supply on the intensive margin?
Measuring variation in intensive labor supply is slightly more challenging than measuring the extensive margin. I know that I work, but I have no precise idea about how many hours I work. For the United Kingdom, data on hours worked also comes from the Labour Force Survey. The Office for National Statistics makes the distinction between actual hours worked, average hours worked and the usual hours worked. They key difference is whether the measure is affected by absence (due to sickness or holiday).
Measuring labor supply: An illustration using hours worked
In Figure 3.3) we show the average weekly hours in the United Kingdom by gender compared to the European Union. The first observation we can make is that women have lower weekly hours than men. The second observation is that while the average weekly hours of men in the United Kingdom is slightly higher than the European Union 28 average, the average weekly hours of women is lower in the United Kingdom compared to the European Union 28.
3.4 Labour demand
Measuring labour demand
So far we only discussed the supply side of the labour market. The size of the labour force captures the potential supply of labour in an economy. But what about the demand side? How much labour is demanded in the economy? Measuring the demand size is challenging and considerably less standardized compared with the supply size. Just like for the labour supply side, there are two different sources of labour demand measures:
- Register based measures of labour demand: Using data from public employment services we can use the number of announced job vacancies as an indicator for labour demand.
- Survey based measures: we can ask firms about their labour demand needs.
Advantages and disadvantages
The two labour demand measures above each have their own advantages and disadvantages. The register based measure is considerably cheaper and tends to exist for longer periods and more countries. However, not all firms post their vacancies at the public employment service, so the sample of vacancies might not be representative of the actual number of vacancies. Moreover, the use of traditional job vacancy posting has changed over time, so this measure might be less representative today compared to what it used to be.
The survey based measure of vacancies on the hand is more expensive and suffers from the “usual” survey issues: not every firm responds and maybe the firms that respond are not representative. But compared to the register based measure, the “non-representativeness” might be less of a worry, although empirical evidence on this issue is not clear. As mentioned, the survey-based measure of job vacancies is less standardized than the survey-based measure of unemployment, but international organizations collect data on job vacancies and attempt to unify the definitions of job vacancies. The definition provided by Eurostat is as follows:
According to the Eurostat job vacancy statistics a ‘vacancy’ is defined as a paid post that is newly created, unoccupied, or about to become vacant:
- for which the employer is taking active steps and is prepared to take further steps to find a suitable candidate from outside the enterprise concerned; and
- which the employer intends to fill either immediately or within a specific period of time.
For more details, see the source:
The job vacancy rate
We can relate the number of vacancies to the size of the labor force to obtain a measure of the job vacancy rate. While this is the typically textbook measure of the job vacancy rate, statistical databases often provide slightly different measures. Eurostat defines the job vacancy rate as follows:
\[\begin{align} \text{JVR}_{\text{Eurostat}}=\frac{\text{number of vacancies}}{\text{number of occupied posts}+\text{number of vacancies}} \end{align}\]
If we are willing to approximate the number of occupied posts by the number of employed people, the main difference between these two definitions of the job vacancy rate is whether we include vacancies or unemployment in the denominator. Both measures are commonly used, but it is of course important to be consist when comparing job vacancy rates across regions and time. A reduction in vacancies will lead to a smaller reduction in the job vacancy rate using the Eurostat definition than the definition above, because in the latter it only affects the numerator.
3.5 Supply meets demand
We can combine our measures of labor supply and demand to create the Beveridge Curve, which is named after its “inventor”, the English economist William Beveridge. The Beveridge curve shows the job vacancy rate on the vertical axis against the unemployment rate on the horizontal axis. The Beveridge curve is a simple indicator of the matching efficiency of the labor market. Without any frictions and in the simple economic model, the line should only “exist” on the axes: We should only have a positive job vacancy rate if unemployment is zero, and we should only have unemployment if we have no vacancies. In practice, this is clearly not the case as Figure x shows. We have unemployment and vacancies at the same time. How can that be and how does that say something about the labor market?
The unemployed worker and the vacancy haven’t “matched” yet: search frictions and other difficulties mean that even if there is a suitable unemployed candidate, the open position might not be filled immediately. There is an application deadline, formal procedures and the unemployed first has to find the job.
An outward shift in the Beveridge curve (as illustrated) suggests a reduction in the matching efficiency of the labor market: For a given number of vacancies in the economy, we have a higher a unemployment rate.
However, there are other reasons for shifts in the labor market than pure search frictions.
The assumptions of a homogeneous labor market is very simplified.
There might be vacancies in Manchester and the unemployed in London (geographical mismatch)
There might be firms looking for lawyers, but only unemployed economists (skill mis-match).
and so on.


bunyan
- filter and pretty-print Bunyan log file content
bunyan
[OPTIONS]
... | bunyan
[OPTIONS]
bunyan
[OPTIONS] -p PID
"Bunyan" is a simple and fast a JSON logging library for node.js services,
a one-JSON-object-per-line log format, and a bunyan
CLI tool for nicely
viewing those logs. This man page describes the latter.
A bunyan log file is a stream of JSON objects, optionally interspersed with non-JSON log lines. The primary usage of bunyan(1) is to pretty print, for example:
$ bunyan foo.log # or `cat foo.log | bunyan
[2012-02-08T22:56:52.856Z] INFO: myservice/123 on example.com: My message
extra: multi
line
[2012-02-08T22:56:54.856Z] ERROR: myservice/123 on example.com: My message
...
By default the "long" output format is used. Use the -o FORMAT
option to
emit other formats. E.g.:
$ bunyan foo.log -o short
22:56:52.856Z INFO myservice: My message
extra: multi
line
22:56:54.856Z ERROR myservice: My message
...
These will color the output if supported in your terminal. See "OUTPUT FORMATS" below.
The bunyan
CLI can also be used to filter a bunyan log. Use -l LEVEL
to filter by level:
$ bunyan foo.log -l error # show only 'error' level records
[2012-02-08T22:56:54.856Z] ERROR: myservice/123 on example.com: My message
Use -c COND
to filter on a JavaScript expression returning true on the
record data. In the COND code, this
refers to the record object:
$ bunyan foo.log -c `this.three` # show records with the 'extra' field
[2012-02-08T22:56:52.856Z] INFO: myservice/123 on example.com: My message
extra: multi
line
-h
, --help
Print this help info and exit.
--version
Print version of this command and exit.
-q
, --quiet
Don't warn if input isn't valid JSON.
Dtrace options (only on dtrace-supporting platforms):
-p PID
, -p NAME
Filtering options:
-l
, --level LEVEL
Only show messages at or above the specified level. You can specify level names or numeric values. (See 'Log Levels' below.)
-c COND
, --condition COND
Run each log message through the condition and only show those that
resolve to a truish value. E.g. -c 'this.pid == 123'
.
--strict
Suppress all but legal Bunyan JSON log lines. By default non-JSON, and non-Bunyan lines are passed through.
Output options:
--color
Colorize output. Defaults to try if output stream is a TTY.
--no-color
Force no coloring (e.g. terminal doesn't support it)
-o FORMAT
, --output FORMAT
Specify an output format. One of long
(the default), short
, json
,
json-N
, bunyan
(the native bunyan 0-indent JSON output) or inspect
.
-j
Shortcut for -o json
.
-L
, --time local
Display the time field in local time, rather than the default UTC time.
In Bunyan log records, then level
field is a number. For the -l|--level
argument the level names are supported as shortcuts. In -c|--condition
scripts, uppercase symbols like "DEBUG" are defined for convenience.
Level Name Level Number Symbol in COND Scripts
trace 10 TRACE
debug 20 DEBUG
info 30 INFO
warn 40 WARN
error 50 ERROR
fatal 60 FATAL
FORMAT NAME DESCRIPTION
long (default) The default output. Long form. Colored and "pretty".
'req' and 'res' and 'err' fields are rendered specially
as an HTTP request, HTTP response and exception
stack trace, respectively. For backward compat, the
name "paul" also works for this.
short Like the default output, but more concise. Some
typically redundant fields are ellided.
json JSON output, 2-space indentation.
json-N JSON output, N-space indentation, e.g. "json-4"
bunyan Alias for "json-0", the Bunyan "native" format.
inspect Node.js `util.inspect` output.
On systems that support DTrace (e.g., MacOS, FreeBSD, illumos derivatives
like SmartOS and OmniOS), Bunyan will create a DTrace provider (bunyan
)
that makes available the following probes:
log-trace
log-debug
log-info
log-warn
log-error
log-fatal
Each of these probes has a single argument: the string that would be written to the log. Note that when a probe is enabled, it will fire whenever the corresponding function is called, even if the level of the log message is less than that of any stream.
See https://github.com/trentm/node-bunyan#dtrace-support for more details and the '-p PID' option above for convenience usage.
BUNYAN_NO_COLOR
bunyan
is written in JavaScript and requires node.js (node
). The project
lives at https://github.com/trentm/node-bunyan and is published to npm as
"bunyan".
MIT License (see https://github.com/trentm/node-bunyan/blob/master/LICENSE.txt)
node-bunyan is Copyright (c) 2012 Joyent, Inc. Copyright (c) 2012 Trent Mick. All rights reserved.


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--- layout: default title: Josh Lospinoso - Disclaimer ---
The views and opinions expressed in this paper and or its images are those of the author(s) alone and do not necessarily reflect the official policy of position of the U.S. Department of Defense (DoD), U. S. Cyber Command (USCYBERCOM), or any agency of the U. S Government. Any appearance of DoD visual information for reference to its entities herein does not imply of constitute DoD endorsement of this authored work, means of delivery, publication, transmission or broadcast. Additionally, comment made by others regarding this paper does not expressly of impliedly indicate DoD endorsement, sanction, or support of those views. Further, any information or material placed online, including advice or opinions, are the views and responsibility of those making the comments and do not reflect the views of the DoD, U. S. Government or its third party service providers. By submitting a comment for publication or posting, you agree that the DoD, U. S. Government and its third party service providers are not responsible, and shall have no liability to you, with respect to any information or materials posted by others, including defamatory, offensive, or illicit material, even material that violates this agreement or is otherwise illegal.


|
MLIB
|
Wrapper for SQL prepared sentences. More...
#include <sqlitepp.h>
Public Member Functions | |
| Query () | |
| Default constructor. | |
| Query (Database &db) | |
| Object without SQL statement. More... | |
| Query (Database &db, const std::string &sql) | |
| Build a prepared statement from SQL text. More... | |
| operator sqlite3_stmt * () | |
| Return the underlining statement handle. | |
| Query & | operator= (const std::string &sql) |
| Assign SQL text to a query. More... | |
| std::string | sql () const |
| retrieve SQL text More... | |
| erc | step () |
| Evaluate the statement. More... | |
| SYSTEMTIME | column_time (int nc) |
| Return a SYSTEMTIME structure with the column content. | |
| SYSTEMTIME | column_time (const std::string &name) |
| Return a SYSTEMTIME structure with the column content. More... | |
| int | columns () |
| Return number of columns in the result set. | |
| Query & | reset () |
| Reset statement to initial state. | |
| void | finalize () |
| Statements are automatically finalized when Query objects are destructed or assigned a new SQL text. More... | |
Bind functions | |
SQL statement can have parameters specified by number (? or ?nnn) or by name (:aaa or @aaa or $aaa) where 'nnn' is a number and 'aaa' is an alphanumeric identifier. Bind functions assign values to these parameters. If the parameter with that name or number is not found the functions throw an erc with code SQLITE_RANGE. | |
| Query & | bind (int par, const std::string &val) |
| Bind a parameter specified by number to a character string. | |
| Query & | bind (const std::string &parname, const std::string &val) |
| Bind a parameter specified by name to a character string. | |
| Query & | bind (int par, int val) |
| Bind a parameter specified by number to an integer value. | |
| Query & | bind (const std::string &parname, int val) |
| Bind a parameter specified by name to an integer value. | |
| Query & | bind (int par, double val) |
| Bind a parameter specified by number to a floating point value. | |
| Query & | bind (const std::string &parname, double val) |
| Bind a parameter specified by name to a floating point value. | |
| Query & | bind (int par, __int64 val) |
| Bind a parameter specified by number to a large integer. | |
| Query & | bind (const std::string &parname, __int64 val) |
| Bind a parameter specified by name to a large integer. | |
| Query & | bind (int par, void *val, int len) |
| Bind a parameter specified by number to an arbitrary memory area (BLOB) More... | |
| Query & | bind (const std::string &parname, void *val, int len) |
| Bind a parameter specified by name to an arbitrary memory area (BLOB) More... | |
| Query & | bind (int par, const SYSTEMTIME &st) |
| Bind a parameter specified by number to a SYSTEMTIME value. More... | |
| Query & | bind (const std::string &parname, const SYSTEMTIME &st) |
| Bind a parameter specified by name to a SYSTEMTIME value. More... | |
| Query & | clear_bindings () |
| Reset all parameters to NULL values. | |
Result functions | |
All result functions return the value of a column specified by name or number (starting from 0). Data type of the result is determined by the result function called (column_int returns an integer, column_double returns a double, etc.). If a column with that name cannot be found, the functions throw an erc with code SQLITE_RANGE. For a detailed discussion of the conversions applied see SQLITE documentation | |
| int | column_int (int nc) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| std::string | column_str (int nc) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| const char * | column_text (int nc) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| double | column_double (int nc) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| __int64 | column_int64 (int nc) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| const void * | column_blob (int nc) |
| Return a pointer to a BLOB with the column content. More... | |
| int | column_int (const std::string &colname) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| std::string | column_str (const std::string &colname) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| const char * | column_text (const std::string &colname) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| double | column_double (const std::string &colname) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| __int64 | column_int64 (const std::string &name) |
| Return a pointer to a NULL-terminated text with the column content. More... | |
| const void * | column_blob (const std::string &name) |
| Return a pointer to a BLOB with the column content. More... | |
Other column functions | |
| |
| int | column_type (int nc) |
| Return data type for a column specified by name or number. More... | |
| int | column_type (const std::string &colname) |
| Return data type for a column specified by name or number. More... | |
| int | column_size (int nc) |
| Return number of bytes in a column that contains a BLOB or a string. More... | |
| int | column_size (const std::string &colname) |
| Return number of bytes in a column that contains a BLOB or a string. More... | |
Friends | |
| class | Database |
The Query class is a wrapper around a prepared sqlite3 statement. There are no copy constructors as the status of a prepared statement cannot be fully reproduced.
The class provides a number of overloaded bind
functions that can be used to bind parameters specified either by name or by number (first parameter is 1) to values of different types.
All bind functions return a reference to the object allowing them to be syntactically chained as in the following example:
For data extraction, the class provides column_xxx
functions that return the value of a column specified either by name or by index (first column index is 0).
| mlib::Query::Query | ( | Database & | db | ) |
The object is linked to a database but doesn't have yet a prepared statement associated with it.
This is convenient for statements that will latter receive their SQL through the assignment operator.
| mlib::Query::Query | ( | Database & | db, |
| const std::string & | sql | ||
| ) |
| db | database connection |
| sql | SQL statement |
| Query & mlib::Query::bind | ( | const std::string & | parname, |
| const SYSTEMTIME & | val | ||
| ) |
The value is written in a format compatible with SQLITE strftime function
| Query & mlib::Query::bind | ( | const std::string & | parname, |
| void * | val, | ||
| int | len | ||
| ) |
| parname | parameter name |
| val | pointer to BLOB |
| len | size of BLOB |
The function makes a local copy of the value so user can free it immediately.
| Query & mlib::Query::bind | ( | int | par, |
| const SYSTEMTIME & | val | ||
| ) |
The value is written in a format compatible with SQLITE strftime function
| Query & mlib::Query::bind | ( | int | par, |
| void * | val, | ||
| int | len | ||
| ) |
| par | parameter index (starting from 1) |
| val | pointer to BLOB |
| len | size of BLOB |
The function makes a local copy of the value so user can free it immediately.
| const void * mlib::Query::column_blob | ( | const std::string & | colname | ) |
The memory for the BLOB is freed automatically. Call column_size() function after calling this function to determine the size of the object returned.
| const void * mlib::Query::column_blob | ( | int | nc | ) |
The memory for the BLOB is freed automatically. Call column_size() function after calling this function to determine the size of the object returned.
| double mlib::Query::column_double | ( | const std::string & | colname | ) |
The memory for the string is freed automatically.
| double mlib::Query::column_double | ( | int | nc | ) |
The memory for the string is freed automatically.
| int mlib::Query::column_int | ( | const std::string & | colname | ) |
The memory for the string is freed automatically.
| int mlib::Query::column_int | ( | int | nc | ) |
The memory for the string is freed automatically.
| __int64 mlib::Query::column_int64 | ( | const std::string & | name | ) |
The memory for the string is freed automatically.
| __int64 mlib::Query::column_int64 | ( | int | nc | ) |
The memory for the string is freed automatically.
| int mlib::Query::column_size | ( | const std::string & | colname | ) |
If the result is NULL the function returns 0. For a numerical column, the function returns the size of the string representation of the value.
| int mlib::Query::column_size | ( | int | nc | ) |
If the result is NULL the function returns 0. For a numerical column, the function returns the size of the string representation of the value.
| string mlib::Query::column_str | ( | const std::string & | colname | ) |
The memory for the string is freed automatically.
| string mlib::Query::column_str | ( | int | nc | ) |
The memory for the string is freed automatically.
| const char * mlib::Query::column_text | ( | const std::string & | colname | ) |
The memory for the string is freed automatically.
| const char * mlib::Query::column_text | ( | int | nc | ) |
The memory for the string is freed automatically.
| SYSTEMTIME mlib::Query::column_time | ( | const std::string & | colname | ) |
| int mlib::Query::column_type | ( | const std::string & | colname | ) |
| SQLITE_INTEGER | 64-bit signed integer |
| SQLITE_FLOAT | 64-bit IEEE floating point |
| SQLITE_TEXT | string |
| SQLITE_BLOB | BLOB |
| SQLITE_NULL | NULL |
| int mlib::Query::column_type | ( | int | nc | ) |
| SQLITE_INTEGER | 64-bit signed integer |
| SQLITE_FLOAT | 64-bit IEEE floating point |
| SQLITE_TEXT | string |
| SQLITE_BLOB | BLOB |
| SQLITE_NULL | NULL |
| void mlib::Query::finalize | ( | ) |
Occasionally user might need to manually finalize a query (for instance if he needs to close a database connection).
| Query & mlib::Query::operator= | ( | const std::string & | sql | ) |
The object must have the database reference set before calling this function.
If a previous statement was attached to the object, it is finalized before the new statement is prepared.
| std::string mlib::Query::sql | ( | ) | const |
If the object is not connected with a prepared statement returns an empty string.
| erc mlib::Query::step | ( | ) |
When a new row of results is available the function returns SQLITE_ROW.
When there are no more result the function returns SQLITE_DONE. Both codes are wrapped in ercs with priority level ERROR_PRI_INFO that normally doesn't throw an exception. Any other error is return at the normal priority level ERROR_PRI_ERROR.


Authorization (Token/HMAC)¶
In general, when communicating with the ThreatConnect API using the TcEx Framework, the App developer does not need to handle authorization. If using any of the Resource Classes in tcex_resources
, the authorization headers are automatically added. This allows the App to run from within the ThreatConnect platform or the Integration server without having to change any code.
The tcex()
module also has the session
property, which is a Python Requests Session (http://docs.python-requests.org/en/master/user/advanced/#session-objects) with ThreatConnect authorization added. API calls to the ThreatConnect API can be made with the native Requests interface with authorization and token renewal built in.
Note
The latest version of the ThreatConnect platform supports both token-based and HMAC authorization. The ThreatConnect Environment server supports HMAC or token-based authorization, depending on the version.
Token Refresh¶
Token-ased authorization requires that the token be renewed upon expiration. The ThreatConnect platform passes the tc_token
and tc_token_expires
arguments to the App. The TcEx Framework automatically handles the token refresh when using session
.
HMAC Authorization¶
HMAC authorization is typically only used for running Apps outside the ThreatConnect platform. Generation of the authorization headers when using HMAC will utilize the api_access_id
and api_secret_key
arguments. These arguments are not automatically sent by the ThreatConnect platform and are required to be added to the :ref:install_json file. In the ThreatConnect UI, these inputs will automatically be hidden in favor of token-based authorization. However, on certain versions of the Environment server these arguments may be required.
Example install.json param section:
<...snipped>
{
"label": "ThreatConnect API Access ID",
"name": "api_access_id",
"required": true,
"sequence": 1,
"type": "String",
"validValues": [
"${USER:TEXT}",
"${ORGANIZATION:TEXT}"
]
}, {
"encrypt": true,
"label": "Local ThreatConnect API Secret Key",
"name": "api_secret_key",
"required": true,
"sequence": 2,
"type": "String",
"validValues": [
"${USER:KEYCHAIN}",
"${ORGANIZATION:KEYCHAIN}"
]
}
<snipped...>
For proper HMAC authorization, the HTTP method and the Uniform Resource Identifier (URI) with query string arguments are required when building the authorization string. Therefore, the authorization string has to be built after the URI and query parameters are built and before the request is sent.


VoiceCall Class Reference
The C++ counterpart to the oFono API description in oFono/doc/VoiceCall.txt.
More...
#include <voicecall.h>
List of all members.
Detailed Description
The C++ counterpart to the oFono API description in oFono/doc/VoiceCall.txt.
Constructor & Destructor Documentation
| VoiceCall::VoiceCall |
( |
QString |
objectPath, |
|
|
QString |
number, |
|
|
VoiceCallState |
state | |
|
) |
| | |
- Parameters:
-
| objectPath | is the identifier for each VoiceCall because it is unique in the oFono DBus interface. |
| number | The calling/called phone number of the VoiceCall. |
| state | The current state of the VoiceCall. |
| VoiceCall::VoiceCall |
( |
const VoiceCall & |
voicecall |
) |
|
Copy Constructor because the class is used with Qt lists.
Member Function Documentation
| QString VoiceCall::getId |
( |
|
) |
const |
Wraps just around getObjectPath()
- Returns:
- The DBus object path is used as id.
| QString VoiceCall::getNumber |
( |
|
) |
const |
- Returns:
- The calling/called phone number.
| QString VoiceCall::getObjectPath |
( |
|
) |
const |
- Returns:
- The DBus object path is used as id.
- See also:
- getId
| VoiceCallState VoiceCall::getState |
( |
|
) |
const |
Assign operator because the class is used with Qt lists.
| void VoiceCall::setNumber |
( |
QString |
number |
) |
[slot] |
To be executed from QML. Change/Set th VoiceCall's phone number.
| void VoiceCall::setState |
( |
VoiceCallState |
state |
) |
[slot] |
To be executed from QML. Change/Set the VoiceCall's current state.
The documentation for this class was generated from the following files:


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To get started send an email from the email address you want to use to the TomEE developers mailing list (dev-subscribe@tomee.apache.org). After you send the subscribe request, the list manager will send you a confirmation e-mail in reply. You must reply to this e-mail to complete the process. If you have not received the confirmation request, check that it has not been marked as spam. A confirmation will put you on the<EMAIL_ADDRESS>mailing list where you can talk to the rest of the community!
Once your subscription is confirmed (sometimes it takes a few hours), send a message to<EMAIL_ADDRESS>with the Subject line "How can I help?" and write a little bit about yourself like where you live and what you might be interested in working on. You will probably be given some tasks outside your interest area just to get you started, but once you get the hang of it you can move to a specific area if you want.
We’re really looking forward to seeing you on the list and learning more about you. Welcome to the adventure!
What is the process?
Check and follow the workflow for contributing.
After a while when people feel comfortable with you as contributor, they vote you in as a committer and … big surprise … there’s almost no change in the daily routine. You get access to svn and pretty much everything else stays the same. Instead of submitting patches, now you have to help review them and commit them. Instead of learning how to contribute to an open source project, now you have to learn how to help others get involved. And of course it doesn’t happen all at once, you never stop learning these things and you never stop wishing you had more time.
No one cares how much code you can write or how fast you can write it. We all just contribute what we can when we can and there are no expectations on how much, how often, or where.
It’s very much about the journey and there is no real end as long as you’re having fun and learning.
Probably finding something to do when you do have time is the hardest part … that never changes.
Be Brave
Don’t assume everything has already been discussed a million times and you’re the only one who doesn’t know and so you shouldn’t bother anyone and should just figure it out on your own. That thinking is your enemy. Don’t do that or you will get nowhere … very slowly. So slowly that now you feel you really can’t ask about it because surely everyone assumes you know it or have done it by now. That thinking is a terrible trap. Ask questions. Post your thoughts.
Don’t worry about asking "stupid" questions on the list — even simple questions have great value. They often lead to surprisingly good discussions.
There are always a handful of people silently reading the list and wishing they could participate, but are less brave.
Maybe it’s like Karaoke; if the people singing sound like you when you sing, there are better odds you might get up and sign too. Seeing people like yourself do the things you want to do is inspiring.
Start Small
You may suddenly get a creative surge and see many many things that could be done. One thing you learn about open source is that you never know when life is going to intervene and you have to stop. So it’s always really good to get a little tiny thing working, checked in, and just grow it iteratively as time permits. It is a practice that is key for people of any skill level. And it goes wonderfully with Open Source as it adds plenty of space for new ideas. Stone soup starts with the stone, not the soup!
So no matter how big the idea or task, ask yourself "do I really need all of this to get started?". Start with the tiniest possible version. And then cut it down again :)
Code is easier to grow than change. And with today’s refactoring tools even change is pretty easy.  Don’t work too long in isolation.
Start small, get it checked in (or patch submitted) and work iteratively.
Things that always need doing
Final variables & fields are preferred where possible, but a lot of the code is old. Feel free to add them and hand the code back. If you have any skills with code coverage tools, then you’ll probably find way too much to do! Tests are always welcome. There are over a 1,000 TODO comments in the code. Maybe some should be deleted. Maybe some could be completed. They probably all should have a JIRA id on them. Pick a random class, see if you can figure out what it is doing and javadoc it. Add @Override where applicable Intellij has an 'Inspect Code' feature. Yikes does it produce a lot of output. No doubt there is some exception handling that can be greatly improved. Obviously, one could get quite bored doing just the above. But sometimes the above tasks can lead to more fun and exciting things. Anything that gets you in and looking at code and actually touching and changing it usually results in questions, discussions and ideas… then little passions and late nights and lack of sleep and caffeine abuse.
Things to avoid
Huge patches
Huge patches are hard to digest. Try to avoid them whenever possible. Any step forward is a good one. Small steps allow people to see where you’re headed and give input. That’s true regardless if you are a committer or contributor.
Be careful with reformatting
Try to never mix logic changes with code reformatting. It makes it nearly impossible for others to see what the actual change was.
If you are a committer and want to reformat something, do the reformat as a separate commit before or after the real change. As long as they are separate and clearly marked it should be easy for people to see what is going on. If you are a contributor and want to reformat something, maybe suggest it on the list, but avoid submitting patches that are just reformatting.


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BEFORE THE NATIONAL GREEN TRIBUNAL, PRINCIPAL BENCH, NEW DELHI M.A. No. 67 of 2014 IN Original Application No. 5 of 2014 And Original Application No. 6 of 2014 IN THE MATTER OF: Latif Beg & Ors. Vs. MoEF & Ors. And Jyoti Mishra & Ors. Vs. MoEF & Ors. ORDER/JUDGMENT CORAM : HON'BLE MR. JUSTICE SWATANTER KUMAR, CHAIRPERSON HON'BLE MR. JUSTICE M. S. NAMBIAR, JUDICIAL MEMBER HON'BLE MR. DR. D.K. AGRAWAL, EXPERT MEMBER HON'BLE MR. PROF. A. R.YOUSUF, EXPERT MEMBER HON'BLE DR. R.C. TRIVEDI, EXPERT MEMBER Dated: 30th May, 2014 __________________________________________________________________ MSW BAREILLY CASE 1. On 03.01.2005, Respondent No.2, UPPCB granted a no-
objection certificate in favor of Respondent No. 4, Municipal Corporation, Bareilly for setting up an integrated mechanical composting plant of 500 t/d capacity at village Razau Paraspur, in an area of 21.20 acres. On 28.03.2013, respondent no. 2 granted authorization to the respondent no. 4 for its MSW Plant at the same site. The said authorization expired on 31.12.2013.On its meeting held on 19.12.2012, State Level Environmental Impact Assessment Authority (SEIAA) agreed with the recommendation of the State Environmental Appraisal Committee (SEAC) and declared that 1 respondent no. 4 was not required to take Environmental Clearance for Municipal Solid Waste Project under EIA Notification of 2006. The validity and correctness of this letter was challenged before this Tribunal in Application No. 86/2013, a petition filed by Rayons-Enlighting Humanity, a society, in Application No. 99/2013 by the Invertis University (the same Applicant in Application 110 of 2014) and in Application 100 of 2014 by a group of residents of village Razau Paraspur, Bareilly. All these Applications were heard together and disposed of by the common judgment dated July 18, 2013. It was found that respondent no. 4 was required to take Environmental Clearance from SEIAA, being a category B project, before setting up and operating the MSW plant. It was also found that the plant is neither meeting the site specifications nor does it have incinerator to ensure proper treatment and volume reduction and disposal of municipal waste. Therefore, various directions were issued.
2. The said judgment was challenged before the Hon'ble Supreme Court in Civil Appeal 7215 of 2013. Vide order dated 13.09.2013, the Hon'ble Supreme Court granted special leave and passed the following order:
"By way of interim order, the directions as contained in Para 49 of the impugned judgment shall remain stayed"
3. Application No. 5 of 2014 is filed by the residents of the affected villages seeking an order directing the Respondents not to operate the MSW plant before obtaining EC clearance as per EIA Notification 2006 and fresh authorization as per Municipal Solid Waste (Management and Handling )Rules 2000 (in short MSW Rules 2000).
4. Application No. 6 of 3014 was filed by farmers of the village Razau Paraspur and Nariyawal claiming to be directly and substantially affected by the operation of the said plant seeking an order restraining Respondent No. 4 and M/S AKC Developers Ltd. (Respondent No. 5 in that Application) from operating the plant 2 without obtaining Environmental Clearance and from raising fresh or further construction on the site of the plant. The Invertis University filed the Application No. 110 of 2014 seeking almost identical reliefs against the Respondent No. 4 who is impleaded therein as Respondent No. 3.
5. As the Hon'ble Supreme Court of India has already stayed operation of the directions contained in para 49 of the Judgment dated 18th July, 2013 of the Tribunal, and the matter is subjudice before that Court, in these Applications before us we, would not deal with any contention or matter that directly or indirectly arises for consideration of the Hon'ble Supreme Court of India in the Appeal pending before that Court. We shall confine ourselves only to the subsequent events de-hors the contentions raised in that case. Be that as it may, the Applicants are contending that the Respondent No. 4 cannot operate the MSW plant without obtaining an authorization as provided under the MSW Rules and as they have not obtained the consent under Air (Prevention and Control of Pollution) Act, 1981 and Water (Prevention and Control of Pollution) Act, 1974, they cannot legally continue to operate the plant without obtaining the authorization and consent. It was also contended that the leachates are being sprayed over the solid waste for the purpose of composting and it causes serious pollution. Taking into consideration these submissions we directed the CPCB to inspect the premises making it clear that the CPCB shall send its team for inspection of the project and the inspection shall be conducted jointly by Respondent No. 2, UPPCB and the CPCB, especially in relation to the leachtes, collection, treatment and disposal on the site in question. Pursuant to the directions the CPCB and UPPCB conducted a joint inspection on 5-4-2014 and submitted a joint inspection report highlighting the various deficiencies as follows:
a. Construction of drains inside the premises has not been found for discharge of any rainy water.
3b. The height of the wind rose of Bio Composting Plant has been found about 4 mts. Whereas in normal conditions the height of the same should be 01 to 1.5 mts. Anaerobic position has been fund inside the windrows.
c. Some wet organic waste has been found outside Bio Composting Yard. Drains all around Bio Composting Yard to collect the leachtes have not been made.
d. After the wind rose, Maturation Yard has not been constructed. e. Plastic waste has also been found in Land Filling Area, which shows that segregation of plastic waste from inert waste is not being done properly.
f. Tanks have been made for collection of leachtes waste, but no arrangements have been made for treatment of leachtes waste. g. Foul smell has been found near the plant.
h. Plant has been found operated without valid authorization. It is known that vide Letter No.F42119/C8/MSW/02/14 dated 29.04.2014 of the Board's headquarters the authorization for said plant has been rejected.
6. It has been observed in the report that the Plant does not have valid authorization for its operation. It is to be noted that the Plant had authorization only till 31.12.2013 which was issued by UPPCB. The Municipal Corporation applied to the UPPCB in November, 2013 for extension of the authorization and the Regional Officer of the UPPCB had submitted a report stating that it is for the Regional Office of UPCC to take a decision. But the consent was not granted.
7. It is thus clear that the Respondent No.4 is not having any valid authorization and consent for the operation of the MSW Plant. The leachtes was spread over the waste for bio-compost. The bio-compost yard was not circled by lined drains for collection of leachtes or surface run off. The compaction/consolidation was not done as per SLF specification prescribed under the rules. Moreover, plastic waste was disposed of in the SLF indicating that proper segregation was not carried out. The leachtes collection sumps were 4 not covered and were filled with rain water. The joint report further reveals that required adequate facility for treatment of leachtes generated should be provided so that treated leachtes quality shall confirm to the standard prescribed in MSW Rules 2000, and proper drainage system are required to be built along the periphery of the compost yard. So also provision for proper drainage system, separate storm water drainage and catch pit for the leachtes in the premises are essential to prevent contamination of ground water. Based on the above, UPPCB declined the authorization sought for by the Respondent No.4.
8. When this Report was filed, learned Counsel appearing for respondent no. 4 submitted that they are willing to take such remedial measures as have been stated by the Board in their report within a prescribed time frame. However, a further joint inspection was again carried out on 27.05.14 by UPPCB and CPCB and it is reported that the deficiencies were not fully complied with. We may also notice that it is the undisputed case before us that even now the excess municipal waste is being dumped at another site which is at Bhakadganj which is far away from the vicinity of any residential area or even offices etc. This site was also being used prior to the commencement of the present plant.
9. Learned Senior Counsel appearing for respondent no.4 made available photographs showing the constructions being carried out on the periphery of the site and submitted that out of the total length of drain along boundary which is 910 m, excavation work of 300 m was over and 90 m construction was completed and out of the total length of drain along the shed, which is 1050m, excavation of 260 m was over and 90m construction base was over and 30 labourers are working on the site and the entire work would be over within a period of one month. Learned Senior Counsel argued that their MSW plant is one of the best in India and closing down the same would go against the sustainable development and therefore they be permitted to operate the plant.
510. Learned Counsel for Applicant submitted that when respondent no 4 did not obtain the consent and is not having the EC clearance and the report submitted by the joint inspection team establish that the deficiencies are not fully complied with, they cannot be permitted to operate the plant. Learned Counsel appearing for the Applicant relied on the decision of the Apex court in Bangalore Medical Trust V.s B.S Buddappa and Ors. (1991) 4 SCC 54) and argued that financial gain cannot be at the cost of the public welfare and no one howsoever high can arrogate to himself or assume, without any authorization express or implied, in law a discretion to ignore the Rules and therefore, respondent no 4 cannot be allowed to continue the operation of the plant without the authorization, consent and complying with the mandatory requirement under the law. The learned counsel also placed reliance on the decision of the Hon'ble Supreme Court in Research Foundation for Science and Technology, National Research Policy vs. UOI ((2005) 10 SCC 510) wherein their Lordships directed that units operating without any authorization or in violation of the conditions of the authorization issued under the Hazardous Waste Rules 1989 shall be closed forthwith.
11. Rule 4 of the MSW Rules 2000 clearly provides the responsibility on Municipal authority to obtain the authorization. As per the said rule the Municipal authority or an operator of the facility shall make an application in Form 1, for grant of authorization for setting up waste processing and disposal facility, including landfill, from the State Board. Rule 4 reads:
" The waste processing or disposal facilities shall include composting, incineration, pelletisation, energy recovery or any other facility based on state-of-the-art technology duly approved by the Central Pollution Control Board."
12. It is not even disputed by Respondent No. 4 that they are not possessed of any consent and authorization by the competent authority which had been granted to them by the Board subject to compliance of the conditions. Apparently, Respondent No. 4 has 6 failed to comply with such conditions. Respondent No. 4 also does not have the approval of its facility from the Central Pollution Control Board.
Schedule IV of MSW rules provides the standards for composting treated leachtes and incineration, which reads as follows:
"The waste processing or disposal facility shall include composting, incineration, pelletization, energy recovery or any other facility based on the State of Art Technology duly approved by the CPCB." Respondent no.4 has no case that they obtained any approval from the CBCB on the technology of the plant as provided under the said schedule.
13. The Reports submitted by the joint inspection team establish that there are various deficiencies which would result in causing pollution and in spite of the duration of the dispute, the deficiencies were not cured. It is clear that pollution is being caused by the leachtes which are hazardous to the neighboring residents as well as adversely affecting the quality of the ground water.
14. It is thus clear that respondent no4 has not obtained the requisite consent and authorization from the State PCB and is also not having the approval of CPCB on the art of the technology adopted. It is very clear that pollution is being caused by disposal of leachtes in an unscientific manner. The rules and regulations are binding on all including the Respondent No.4. In the name of Public Welfare, respondent no.4 cannot be permitted to operate the MSWM plant violating the rules and regulations. Violation of rules and regulations and operating its plant without authorization cannot be countenanced by the Tribunal, in the light of the law clearly enunciated by the Hon'ble Supreme Court of India in the case of Bangalore Medical Trust V.s B.S Buddappa and Ors. (supra) and Research Foundation for Science and Technology Vs. Union of India (supra) Larger public interest and public health must take precedence over the claim by Respondent No. 4. More so when 7 Respondent No. 4 had ample time to make up for the deficiencies and take all anti pollution measures. The conduct of the Respondent No. 4 itself disentitles it from any discretionary relief from the Tribunal.
In such circumstances we have no other option but to direct closure of the MSW Plant of Respondent No. 4 which we do hereby Order. The Respondent No. 4 is at liberty to cure all the deficiencies pointed out by the joint inspection team and approach the Pollution Control Board for the requisite consent and authorization. In that event it is for the Board to take appropriate decision in accordance with law. If the Board grants the consent and authorization to Respondent No 4, it is entitled to resume operation of the plant in accordance with law subject to the order that may be passed by the Hon'ble Supreme Court ........................................., CP (Swatanter Kumar) ........................................,JM (M. S. Nambiar ) .........................................,EM (Dr. D.K. Agrawal) .........................................,EM (Prof. A.R. Yousuf) .........................................,EM (Dr. R.C. Trivedi) New Delhi 30th May, 2014 8 9


For the fig-swirl: Melt the butter over medium heat in a saucepan. Add brown sugar and
stir to dissolve. Halve all of the figs and toss in the saucepan with water and lemon juice. Cook over medium
heat, stirring frequently, until you have a chunky-jammy mixture. Add the salt with one or two stirs, set
aside and let cool completely.
Ice cream: In a small pot over medium heat, combine milk, and granulated sugar until
sugar is completely dissolved and the milk is just barely lukewarm. Whisk in the egg yolks. Set mixture in the
fridge and wait until the fig mixture is cooled.
Using an ice cream machine, pour liquids into the frozen basin and process according to
manufacturer instructions, i.e., let spin and thicken for 20 minutes before adding mascarpone, fig jam
mixture, and the nuts. Continue to process +/- 10 minutes. Pour semi-frozen mixture into a pyrex dish or glass
tupperware. Freeze for at least two hours before serving.


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D3.js is a JavaScript library for manipulating documents based on data. It allows to build absolutely any type of data visualization. This document displays 10 interactive examples illustrating the key concepts of d3, leading to a first basic scatterplot.
HTML
?→ Explanation:
h1
tag, a paragraph with the p
tag, an image by the img
tag and so on.→ Example:
First html document
This is my first sentence
This is a link to the d3 graph gallery
→ Try:
test.html
. Open it with a browser. You've created your first website!CSS
→ Explanation:
html
before.css
. If it is new for you, check this tutorial.→ Example:
First html document
This is my first sentence
This is a link to the d3 graph gallery
→ Try:
inGreen
to one of the paragraph p
font-size: 20px
in css.SVG
→ Explanation:
svg
shapes put together. For instant, a scatterplot is just composed by several circles as the one shown below.→ Example:
First html document
This is my first sentence
→ Try:
svg
call to understand what feature they control.
Javascript
and D3.js
→ Explanation:
target
and modify its stroke-width
.→ Example:
First html document
This is my first sentence
→ Try:
opacity
style that goes between 0 and 1.Console.log()
is your friend.→ Explanation:
Html
, Css
and Javascript
code and shows the result as a webpage.console.log("sometext")
in your javascript code→ Explanation:
svg
element. This element has a width
and a height
, given in pixels.x=0
and y=0
. The bottom left corner has the coordinate x=0
and y=height
. The top right corner has the coordinate x=width
and height=0
→ Example:
→ Try:
→ Explanation:
scale
svg
area is 400px width. 0% → 0px. 100% → 400px. 50% → 200px.domain
(0 to 100% here) and a range
(0 to 400px here)x
. If you run x(10)
, d3 returns the position in px for this value→ Example:
→ Try:
domain
and range
values to understand how it works.→ Explanation:
scale
. This scale specifies where the axis must be placed, and what range it should indicate.axisBottom()
creates a horizontal axis, with ticks and labels at the bottom. axisLeft()
will be used later for the Y axis→ Example:
→ Try:
domain
and range
values to understand how it works.→ Explanation:
.attr("transform", "translate(20,50)")
to an element with translate it 20px to the right and 50px to the bottom.svg
area, creating a bit of margin around the chart without having to think about it in the rest of the code. It is important to understand how it works since almost all d3.js chart start that way.→ Example:
→ Try:
svg
variable creation.→ Explanation:
svg
: this select the svg area where the chart takes place.selectAll("whatever")
: select all the elements that have not be created yet, I know it is weird..data(data)
: specify the data to use..enter()
: start a loop for the data. Following code will be applied to data[0]
, data[1]
and so on..append("circle")
: for each iteration, add a circle..attr("cx", function(d){ return x(d.x) })
: gives the x
position of the circle. Here d
will be data[0]
, then data[1]
and so on. Thus d.x
is the value of x
, and x(d.x)
is the corresponding position in pixel found thanks to the x scale
.→ Example:
→ Note:
This is probably the most difficult concept in d3.js. And it is used in almost every single chart. It is actually the power of d3: binding data to elements
It is probably a good idea to read more on this topic. Check d3 in depth and Dashing d3.js.
next
?This document is a very very short intro to d3.js. However, it describes the basic concepts that are used in almost every chart.
You're now probably ready to explore the gallery. For each chart section, there is a very basic example to start with.


---
layout: compress
---
{% include head.html %}
{% include components/totop.html %}
{% include header.html %}
{% if site.google_analytics != "" %}
{% include components/google.html %}
{% endif %}
{% if site.baidu_auto_push == true %}
{% include components/baidu.html %}
{% endif %}
{% include components/sw.html %}
{% include components/customCssJS.html %}
{% include footer.html %}
{% if site.cute.enable == true%}
{% if site.cute.live2d == true%}
{% include cute/live2d.html %}
{% endif %}
{% include cute/title.html %}
{% include cute/cursor.html %}
{% include cute/console.html %}
{% include cute/background.html %}
{% include cute/card.html %}
{% if site.cute.music_player == "cplayer" %}
{% include cute/cplayer.html %}
{% endif %}
{% if site.cute.music_player == "aplayer"%}
{% include cute/aplayer.html %}
{% endif %}
{% endif %}


View Review
Opinions require approval, which may take 3-5 business days
Thank you in advance for your patience!
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Opinions require approval, which may take 3-5 business days
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This is a small JS library containing some utility functions for working with vector 2 (like) objects an arrays. The functions are sometimes not pure in the sense that they will modify the vector you provide to them. This allows the reuse of vector object instances and compatibility between different vector class types.
npm i -S vec2-fn
API docs can be found here
// Import star
import * as vec2 from "vec2-fn";
vec2.equal({ x: 0, y: 0 }, vec2.ZERO);
// Import named
import { equal, ZERO } from "vec2-fn";
equal({ x: 0, y: 0 }, ZERO);
// Import all
const vec2 = require("vec2-fn");
vec2.equal({ x: 0, y: 0 }, vec2.ZERO);
// Assign named
const { equal, ZERO } = require("vec2-fn");
equal({ x: 0, y: 0 }, ZERO);
Old school method
<script src="./bin/vec2.js"></script>
<script>
vec2.equal({ x: 0, y: 0 }, vec2.ZERO);
</script>
For static usage, ambient type definitions can optionally be referenced here node_modules/vec2-fn/bin/vec2.d.ts
.


|
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def | __init__ |
| |
|
def | log_line_size |
| |
|
def | log_line_list |
| |
|
def | log_line |
| |
|
def | mutable_log_line |
| |
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def | add_log_line |
| |
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def | clear_log_line |
| |
|
def | MergeFrom |
| |
|
def | Equals |
| |
|
def | IsInitialized |
| |
|
def | ByteSize |
| |
|
def | ByteSizePartial |
| |
|
def | Clear |
| |
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def | OutputUnchecked |
| |
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def | OutputPartial |
| |
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def | TryMerge |
| |
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def | __str__ |
| |
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/logservice/log_service_pb.py


Ryan J Freeman
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Hangman
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Info Widget
Rock Paper Scissors


Big Gyamfi drops a new banger “Ohemaa” (Listen, Download)
by RASHADThe young budding musician is up with it again with an Afropop joint titled OHEMAA. The dominant theme for this groovy banger is the celebration of women and how a man will go every length to protect his Queen (Ohemaa).
This is just the tip of the iceberg for this extremely talented musician. He is indeed destined for Greatness as there is more to come from this young lad.
His passion for music has always been present counting back to his childhood as he would write down and sing the songs from his favorite stars growing up.
His early influences were Rnb and Rap, but later grew much interest in highlife and Reggae music.
His style of music is very unpredictable as he is able to blend different styles of music into one genuine Art form.
His goal as a musician is to inspire every young person to follow their dreams and never give up.
Listen and download Big Gyamfi – “Ohemaa” below
Straight Banger!!!!


This is a simple button.
Here's another button with an icon inside it.
This is the container content.