Any jQuery that you write needs to happen inside of the MMPLAYERREADY
event.
Create your own Media Manager namespace, and initiate it inside of MMPLAYERREADY
Reset a video when it's ended
$(document).on('MMPLAYERREADY', function (e) { $(player).on("show-layer-endstate", function (e) { setTimeout(helpers.resetVideo(),100); }); });
Make a video autoplay (without the outlet)
$(document).on('MMPLAYERREADY', function (e) { $(player).on("player-ready", function (e) { helpers.playVideo() }); });


Line
public struct Line : Equatable
Unbounded and straight. Contrast with LineSeg.
-
Build a fresh one - with error checking.
Throws
- ZeroVectorError if the input Vector3D has no length
- NonUnitDirectionError for a bad input Vector3D
Parameters
spot
Origin for the fresh line
arrow
Direction for the fresh line. Must have unit length
-
Simple getter for the origin
Declaration
Swift
public func getOrigin() -> Point3D
-
Simple getter for the direction
Declaration
Swift
public func getDirection() -> Vector3D
-
Find the position of a point relative to the line and its origin. The returned perp distance will always be positive.
See also
‘resolveRelative(Vector)’See
‘testResolveRelativePoint’ under LineTestsDeclaration
Swift
public func resolveRelative(yonder: Point3D) -> (along: Double, perp: Double)
Parameters
yonder
Trial point
Return Value
Tuple of distances
-
Checks to see if the trial point lies on the line
See also
Overloaded ==See
‘testIsCoincident’ under LineTestsDeclaration
Swift
public static func isCoincident(straightA: Line, pip: Point3D) -> Bool
Parameters
straightA
Reference line
pip
Point to test
-
Do two lines have the same direction, even with opposite sense?
See also
Overloaded ==Declaration
Swift
public static func isParallel(straightA: Line, straightB: Line) -> Bool
Parameters
straightA
First test line
straightB
Second test line
Return Value
Simple flag
-
Check two lines See that the either origin lies on the other line, and that they have the same direction, even with the opposite sense
See also
Overloaded ==See
‘testIsCoincidentLine’ under LineTestsDeclaration
Swift
public static func isCoincident(straightA: Line, straightB: Line) -> Bool
-
Verify that two lines could form a plane.
See also
Overloaded ==See also
Line.isParallel()Declaration
Swift
public static func isCoplanar(straightA: Line, straightB: Line) -> Bool
Parameters
straightA
First test line
straightB
Second test line
Return Value
Simple flag
-
Generate a point by intersecting two Lines
Throws
CoincidentLinesError if the inputs are the sameThrows
ParallelLinesError if the inputs are parallelThrows
NonCoPlanarLinesError if the inputs don’t lie in the same planeDeclaration
Swift
public static func intersectTwo(straightA: Line, straightB: Line) throws -> Point3D
Parameters
straightA
First test line
straightB
Second test line


Hi! My name is Milan Vit and you have somehow stumbled upon my personal web. Not exactly sure how that happened, but welcome anyway!
Judging from my past experience, I honestly shouldn't promise any articles of any kind due to me always losing interest in writing just about few weeks into launching a new blog, but if things go differently this time, I'd want to share my experience related to programming (mostly iOS related), occasionally my random thoughts but perhaps most importantly, experience related to Japan, a country that's really dear to my heart.
You see, during the entirety of the year 2017, I was attempting to get a job in Japan. Luck finally shone upon me in December 2017 and now I'm just a few short weeks away from moving to the land of the rising sun, and from properly living and working there.
And that should hopefully bring a lot of interesting things to write about, so look forward to that! Or not, that's actually really up to you.


UK Road Accidents
by Johnny Chan | Github Repo | MIT Licence
Visualize the 136k+ road accidents in the UK during 2016. Use the Interactive Pan and Wheel-zoom tool for data exploration.
{{ doc }} {{ plot_div|indent(8) }}
{{ bokeh_css }} {{ bokeh_js }}
by Johnny Chan | Github Repo | MIT Licence
Visualize the 136k+ road accidents in the UK during 2016. Use the Interactive Pan and Wheel-zoom tool for data exploration.
{{ doc }} {{ plot_div|indent(8) }}
This is an interactive web application tool that enables big data visualization of the 136k+ UK Road Accidents reported during 2016 (I may expand this to cover a longer period under a separate project).
For more information about the datasets please refer to the Road Safety Data Page, which contains datasets for other periods and dimensions.
This work is inspired by the pyviz tutorial series. It is my hope to incorporate further enhancements to this application, refactor and optimise the codes, and use as a reference baseline template for building other similar applications with even better capabilities.
Built with Anaconda Data Science Tools: Bokeh, Datashader, HoloViews, GeoViews, Dask, Pandas
More further enhancements to this app to follow.


railo-context.Component testbox.system.reports.RawReporter
Copyright Since 2005 TestBox Framework by Luis Majano and Ortus Solutions, Corp www.coldbox.org | www.ortussolutions.com A raw reporter
| Constructor Summary | |
|---|---|
|
init()
|
| Method Summary | |
|---|---|
any
|
getName()
Get the name of the reporter. |
any
|
runReport(TestResult results, TestBox testbox, [struct options='[runtime expression]'])
Do the reporting thing here using the incoming test results. |
| Methods inherited from class railo-context.Component |
|---|
| None |
| Constructor Detail |
|---|
| Method Detail |
|---|
Get the name of the reporter
Do the reporting thing here using the incoming test results The report should return back in whatever format they desire and should set any Specifc browser types if needed.
results
- The instance of the TestBox TestResult object to build a report ontestbox
- The TestBox core objectoptions
- A structure of options this reporter needs to build the report with


This week, we will be reviewing the findings from user tests of the website hurricanegolf.com, an online discount golf supply business.
The script used for these user tests can be found here
In this test, we will ask the user the following
- Home Page impressions: specifically what is the user able to determine about the business from the home page
- To learn about the company's return policy, asked ot assess a specific type of return
- To learn how to track an order
- To find a specific product
A quick overview of the users being tested. All three are familiar with golf, have knowledge of the terminology and have shopped online in for products before, however have not shopped for golf products online in the past. All are regular computer users both at work and at home.
Task 1: Home Page Assessment
Upon viewing the home page, users were able to determine that this business sells golf equipment online, and associated it with being a "discount" seller. One user determined that hurricane golf also offers golf travel packages, which is less prominently displayed. For reference, the home page is pictured below.
One user correctly identified the function of the business, but later wondered if the company was a golf shoe/apparel company based on the most prominent ads and brands being shoe related, but concluded it was indeed selling all golf supplies.
Based on this user testing, Hurricanegolf.com's home page effectively communicates the business's market and niche, however some product offerings are not immediately obvious.
Task 2: Return Policy
Users were asked to use the website to determine if a fictitious order from hurricanegolf.com could be returned given the conditions. This information is located in the footer of the home page, pictured below:
All users were able to locate this information eventually, however two users' initial instict was to call phone numbers listed on the home page which were designed to provide customer support during the COVID-19 shutdown. This was confusing to users because the phone number is prominently listed top-center of the page with text inciting the user to call with questions.
All users initially attempted to click menu headings instead of the links below them, indicating insufficient style distinction between headings and clickable links. Referencing the above picture, it can be seen that headings and listings are not separated.
In all cases, users found the information within 3 minutes, however all users also attempted to click non-clickable menu headings prior to selecting the right page. The testing suggests this is an area for improvement, perhaps created better visual separation between the footer categories and more clearly distinguishing clickable links from headings.
Task 3: Track an order
For this task, users were asked to learn how to track an order. Information on how to do this is found once again in the footer under the "shipping information" link. As with the returns question, two users attempted to interact with unclickable menu headings before selecting the correct link. A third user did not locate this information, but rather went through the "my account" section of the site, which displays this:.
Seeing that "tracking information" is listed below "create an account" the user believed that you could not track an order without creating an account.
Generally speaking, users were able to find out how to track an order, and in real life the user would have recieved an email with tracking information, however these emails cannot be relied upon as they are often filtered out as spam. Hurricanegolf.com does not prominently display "track an order" as many other e-commerce sites do and while 2 out of 3 users successfully identified that a tracking email would have been sent to them, one did not. A recommendation for improvement would be the ability to enter an order number and recieve tracking through the web and not solely relying on a UPS tracking email.
Task 4: Shop for specific product
Users were asked to locate all left handed irons for sale, which would require navigating to the "irons" page and filtering for left handed products only. For reference, irons are located under the "golf clubs" menu on the home page, pictured below:
The three users had three different results. One user was unsuccessful and ultimately used the search bar. This user was distracted by the "popular searches" section of the home page and did not instinctively return to the top level menu of the page.
The second user did utilize the top level menu, however selected the incorrect category first. This user eventually did locate the irons menu and successfully filtered for left handed products only, only after several minutes spent in incorrect sections of the site.
The third user did not have difficulty with this task and completed it in under 20 seconds.
Upon arriving at the "irons" page, all three users first attempted to use the "sort" dropdown menu to filter for left handed products. I believe this happened because the first sort option the user sees is "position" and users may have initially believed that "position" meant "left handed or right handed" in golf terminology. It was not clear to the users or the test facilator what "position" actually meant.
Summarizing, searching for products on hurricanegolf.com follows typical conventions common to e-commerce, however the page contains distractions which sidetracked users. Users did not universally, by instinct, attempt to search by beginning at the top level menu especially after believing that the "popular searches" section, was the correct avenue for searching. Adding to the confusion is that the "popular searches" section uses similar/identical terminology to the top level menu, which tells the user that those navigation tools may be the same thing and therefore its unnecessary to return to the top to begin your search.
Additionally, the search function did not produce any relevent results, so even as a last resort this was not useful. However its worth noting that a design element that contributed to successful navigation was mouse-over notes, which guided all users when clicking links. These notes help prevent sidetracking on multiple instances.
Summary
On net, users were generally able to interact with hurricanegolf.com successfully, but this was not universal. All test subjects are familiar with online shopping could have been expected to adapt to any online shopping enviornment easily. A primary source of distraction is the "popular searches section". It may be useful to more clearly indicate what the top level menu allows the user to do, such as by adding "I want to shop for..." wording, or something to indicate that this is where shoppers should begin their search.


|
An access key is required to operate on the phonebook. If you have previously generated an access key, please enter it here and click Load. Alternatively, you can obtain a new access key by clicking Create New Key. |
| Unknown key |
User key - {{authkey}}
| ID | Title | First Name | Last Name | Phone Number | ||
|---|---|---|---|---|---|---|
| {{item.id}} | {{item.title}} | {{item.firstName}} | {{item.lastName}} | {{item.phoneNumber}} | ||
| New Entry |


Haemoglobin is part of the large globin family of haem-containing proteins that are involved in the binding and/or transport of oxygen. These proteins are widely distributed in many organisms. Examples of some other globin proteins found in this family are:
Ø Myoglobin (used as a reserve supply of oxygen, and facilitates the movement of oxygen within muscles)
Ø Neuroglobin (involved in oxygen transport in the brain)
Ø Cytoglobin (involved in intracellular oxygen storage or transfer)
Ø Leghaemoglobin (provides oxygen to bacteroids, which is essential for symbiotic nitrogen fixation)
Ø Erythrocruorin (giant haemoglobin of worms)
Ø Plant haemoglobin (may act as an oxygen sensor)
Ø Flavohaemoglobin (involved in NO detoxification)
All of these proteins share a common alpha-helical globin structure.
As the same signatures hit many of the globins, only the beta globin chain will be used as an example:
InterPro Domain Architecture
InterPro Entry |
Method Accession |
Graphical Match |
Method Name |
|
IPR000971 |
PF00042 |
globin |
|
|
IPR000971 |
PS01033 |
GLOBIN |
|
|
IPR002337 |
PR00814 |
BETAHAEM |
|
|
IPR009050 |
SSF46458 |
Globin_like |
|
|
IPR012292 |
G3D.1.10.490.10 |
Globin_related |
|
|
Classification |
PDB Chain/Domain ID |
PDB Chain/Structural Domains |
|
1ird
|
1irdB
|
|
|
|
1.10.490.10.4 |
1irdB0 |
|
|
|
a.1.1.2 |
d1irdb_ |
|
From the graphical match above, you can see that the
signatures (method accession) are grouped into four InterPro entries for the human
alpha globin chain. These reflect hierarchical
relationships between the different signatures. IPR009050, the
globin-like family, is top of the hierarchy and has one signature, SSF46458 from the SUPERFMAILY
database. This entry represents any
protein with a globin-like structure that is evolutionarily related to globin,
which includes the entire globin family, as well as truncated haemoglobins and phycocyanin-like
phycobilisome proteins. The entry IPR012292, the
globin-related family, represents proteins more closely related in sequence and
structure than those found in IPR009050 (lacks the more distantly related phycocyanin-like
phycobilisome proteins), and has one signature: G3D.1.10.490.10 from the
Gene3D database. The next entry is IPR000971, the globin family,
that represents the globin family itself (closely related in sequence), and has
two signatures: PF00042 from the PFAM database and
PS01033 from the PROSITE
database. The remaining entry, IPR002337, the
beta-haemoglobin family, is the most specific classification, and is
represented by one signature: PR00814 from the
PRINTS database. As all five of these
signatures cover the same sequence, they are related to one another: IPR009050 is the parent of IPR012292,
which in turn is the parent of IPR000971, which is itself the parent of
IPR002337:
The
remaining three entries in the table above are from the structural database PDB
(green stripe), and from the structural classification databases CATH (pink
stripe) and SCOP (black stripe) (the names such as d1irdb_ being derived from the PDB entry
upon which it is based, here PDB entry 1ird, chain B). The graphical match for the PDB entry 1ird displays the length of the original PDB entry, which covers the
entire protein. The CATH (1irdB0) and SCOP (d1irdb_ ) databases give information on
the classification of this protein.
Haemoglobin
was the first protein to have its 3-dimensional structure determined by Max
Perutz and his colleagues at Cambridge University in the 1950s, and has served
as a model to correlate a protein’s structure with its function. The structures of the different globin chains
can be viewed through InterPro using AstexViewer®, which is linked from the
InterPro Match Table of each protein via the logo (please
note, there is no link directly from this page to the AstexViewer® for the
protein discussed above, therefore you need to go to the link on the InterPro
pages for P68871). The AstexViewer® displays the PDB structure
with the particular CATH or SCOP domain highlighted in yellow. There are several structures associated the
different haemoglobin chains in the Protein Data Bank (PDB). A detailed description and visualisation of
the structural features of haemoglobin can be found at the PDB ‘Molecule of the
Month’, providing insights into the molecular basis of action for
this oxygen carrier.


[gecode-users] update Args automatically?
Christian Schulte
cschulte at kth.se
Sun Jul 21 14:58:08 CEST 2013
Hi,
No, the actual IntVarArgs etc are not updated. However any variable that is
used by a constraint or branching is automatically updated when their home
space is copied. And those arrays that you want to use for printing etc, are
those that you have to store as a meber of a space and update.
Cheers
Christian
--
Christian Schulte, www.ict.kth.se/~cschulte/
From: users-bounces at gecode.org [mailto:users-bounces at gecode.org] On Behalf
Of S L
Sent: Sunday, July 21, 2013 9:06 AM
To: users at gecode.org
Subject: [gecode-users] update Args automatically?
Hi All,
For the example scripts provided in the Gecode package, there are usages of
like IntArgs, IntVarArgs etc, take the domino problem as an example. I am
wondering the clone of a space will also clone this "Args" automatically?
Since I see that they are not updated in the space copy method as variable
arrays declared in the private section of a script space. Thanks!
regards,
Shawn
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LVMH swoop on Tiffany will boost operating profits: Chairman
PARIS (Reuters) - Acquiring Tiffany will lift LVMH’s operating profits by 500 million to 600 million euros ($661.32 million) in the first 12 months, the luxury goods group’s Chairman and Chief Executive Bernard Arnault said on Monday.
The $16.2 billion deal is expected to close mid next year, the companies said earlier.
Arnault told Reuters that LVMH would finance the purchase with debt, adding the group could currently pay interest of less than 1% to issue bonds.
LVMH would follow a similar pattern to its 2011 acquisition of Bulgari by investing in communication, stores and new products at Tiffany, Arnault said. He added that a management shake-up was not on the cards for now.
“It’s a little early to decide on that, we have an excellent relationship with them,” Arnault said.


Life
“Decorate your home. It gives the illusion that your life is more interesting than it really is.”


A little bit beyond basics
Just css
Css and Html
Both again but more
Quiz!
Defer
Async
Iframe
Load Times
Best Practices


TryHackMe - CC Pentest Final Exam Writeup
Intro
This writeup is THM’s CC:Pentest Room’s Final Exam’s walkthrough which can be found here. The objective is to figure out the user flag and root flag.
Tools used: Nmap, Gobuster, Hashcat, Privilege Escalation.
Analysis
Nmap
For information gathering and enumeration, I started off with an NMAP stealth scan.
nmap -p- -v --min-parallelism 100 -sV <IP_ADDRESS>
Here, -p- scans all 65,535 ports, -v is a verbose flag, –min-parallelism probes parallelism to speed up the scan and -sV shows the version of services running on the target IP.
The results of the scan returned as follows
Nmap scan report for <IP_ADDRESS>
Host is up (0.31s latency).
Not shown: 65532 closed ports
PORT STATE SERVICE VERSION
22/tcp open ssh OpenSSH 7.2p2 Ubuntu 4ubuntu2.8 (Ubuntu Linux; protocol 2.0)
80/tcp open http Apache httpd 2.4.18 ((Ubuntu))
62157/tcp filtered unknown
Service Info: OS: Linux; CPE: cpe:/o:linux:linux_kernel
So there’s 2 ports open with SSH and Apache. We’ll come back to this later, if needed.
GoBuster
Gobuster is a directory bruteforcing tool that will search for hidden directories on the port 80 web server. Let’s run the code below to see what it outputs
gobuster dir -u <IP_ADDRESS> -w /usr/share/seclists/Discovery/Web-Content/common.txt
The output was
===============================================================
2020/10/21 22:27:08 Starting gobuster
===============================================================
/.hta (Status: 403)
/.htaccess (Status: 403)
/.htpasswd (Status: 403)
/index.html (Status: 200)
/secret (Status: 301)
/server-status (Status: 403)
===============================================================
2020/10/21 22:31:48 Finished
===============================================================
Aha! There’s a directory called ‘secret’ on the server. However, there’s nothing displayed if I visit it and nothing interesting in the source too. So I had to run gobuster on it again under that directory.
gobuster dir -u <IP_ADDRESS>/secret -w /usr/share/seclists/Discovery/Web-Content/common.txt
And this time I found
/index.html (Status: 200)
Nothing again, but the hint says check for different extensions so let’s check with other extensions like .txt.
gobuster dir -u <IP_ADDRESS>/secret -w /usr/share/seclists/Discovery/Web-Content/common.txt -x .txt
This shows a ‘secret.txt’ file. When I open this, I see
nyan:046385855FC9580393853D8E81F240B66FE9A7B8
Which seem like the credentials for the SSH client from the earlier NMAP scan. Let’s use this to connect to the SSH server.
ssh<EMAIL_ADDRESS>But if I use the default password seen above, it doesn’t work. As I suspected, this password is hashed. So I used hashid to verify the hash being used.
hashid 046385855FC9580393853D8E81F240B66FE9A7B8
And the results pointed it out to be SHA-1
To crack this, let’s use hashcat as below.
hashcat -m 100 hash /usr/share/wordlists/rockyou.txt --force
The -m flag sets the mode to 100 which pertains to SHA-1 and hash is a text file I stored the hash digest in.
The results of this crack were as follows:
046385855fc9580393853d8e81f240b66fe9a7b8:[redacted]
Session..........: hashcat
Status...........: Cracked
Hash.Name........: SHA1
Hash.Target......: 046385855fc9580393853d8e81f240b66fe9a7b8
Time.Started.....: Wed Oct 21 23:00:00 2020, (1 sec)
Time.Estimated...: Wed Oct 21 23:00:01 2020, (0 secs)
Guess.Base.......: File (/usr/share/wordlists/rockyou.txt)
Guess.Queue......: 1/1 (100.00%)
Speed.#1.........: 3480.8 kH/s (0.57ms) @ Accel:1024 Loops:1 Thr:1 Vec:8
Recovered........: 1/1 (100.00%) Digests
Progress.........: 4972544/14344385 (34.67%)
Rejected.........: 0/4972544 (0.00%)
Restore.Point....: 4964352/14344385 (34.61%)
Restore.Sub.#1...: Salt:0 Amplifier:0-1 Iteration:0-1
Candidates.#1....: o103192 -> nwcfleshwound
Success! The SSH password is as seen above next to the hash. Let’s use that to login to the SSH server.
User
After logging in, running ls gives us the user flag.
nyan@ubuntu:~$ ls
user.txt
nyan@ubuntu:~$ cat user.txt
[redacted]
nyan@ubuntu:~$
Now onto the root flag!

Root
There’s a hidden file, console_history, opening it, I saw 3 lines of previous history.
su
sudo su
exit
When I run the second line, I successfully entered root. It seems that sudo had the SUID bit set on it.
nyan@ubuntu:~$ sudo su
root@ubuntu:/home/nyan# whoami
root
root@ubuntu:/home/nyan#
And so
root@ubuntu:/home/nyan# cd ../..
root@ubuntu:/# cd root
root@ubuntu:~# ls
root.txt
root@ubuntu:~# cat root.txt
[redacted]
We have successfully found the root flag and thereby finished this exam.


By: Matt Wilchek
The purpose for this project is to visualize data using the Google Visualization API and advancing data visualization techniques. This individual project will use country education, healthcare and military spending data as the foundation for the following visualizations. Using creative plots on data, important insights can be drawn from complex data that ultimately tell a story.
Below are the following data sources used in this analysis:
Before diving deep into each category of spending, it's important to first see how each compares together to gain a sense of the overall analysis. Below is an executive overiew of all the Healthcare, Education, and Military spending data:
Note: Healthcare data goes up to 2018, Military data to 2019, and Education data to 2016
At first, we can immediately notice that the categories of Education and Military have the highest average spending. The U.S. and China have the largest average of spending for both Education and Military. As we interact with the graph and drill down to see the significant lower distribution of Healthcare, we notice that the U.S. still is the largest, but China is one of the lowest in all the countries.
Healthcare and Education are critical for a growing country. They can be considered as part of basic needs for people. However, security and recognition of sovereignty from other nations is also important. Let's next compare spending of Healthcare and Education versus Military spending data:
The combined distribution of Healthcare and Education spending makes up 50% or more of the total average spending of all categories. As a citizen for one of these countries, I would hope that would be the case. It is interesting to see though that three countries of the group spend up more than 40% of the total average spending in Military. India was an unexpected country that one may not assume to be one of these three. Although there may be some data discrepancies due to the total average that was calculated since Military spending data was available up to 2019.
Despite the data discrepancies in terms of data availability, by drilling down into both Healthcare, Education, and Military spending analysts can begin to see the overall growth of each sectors for the top G-20 countries. A story can begin to unfold with these insights that reveal important trends and patterns about the data. Ultimately, we should be able to summarize what countries continue to grow in these important spending categories and which countries are beginning to fall behind!
Healthcare is a critical need to ensure a country's population growth. Therefore, one would assume the percentage of spending in healthcare would make up a decent fraction of the total GDP of a country. To confirm our assumption let's look at the Healthcare Spending vs Country GDP. Then see how spending has changed over time...
On the table breakdown, we can see the overall spending in healthcare for all the countries. Surprisingly, when compared to the overall GDP of each country, healthcare only makes up a small percentage. Some of the most developed countries are near the bottom like the United States and United Kingdom. For the U.S. this makes sense because most healthcare spending comes from private industry and the most if not all the healthcare spending by government is for Medicare (federal health insurance for people 65 years of age or older) or Medicaid (very low-income people). It is a little odd though that the UK is so low, since most European countries are known for their governments spending more, like France and Germany.
The line graph shows much more interesting trends though of the data. Even though the United States is the lowest in overall healthcare spending percentage compared to its GDP, spending is greatly increasing over time. It’s likely due to the baby boomer generation of people becoming applicable for Medicare. The increasing trend is likely to continue more so with the large unemployment rate during the COVID-19 pandemic forcing people to lose their employer insurance and lowering their income even more. Spending otherwise, remains to be consistent with no significant increases or decreases compared to the other countries which can be viewed more closely as we interact with the buttons below the chart.
The previous visualization gives us a better idea how healthcare spending is becoming more of a priority for the US and the overall trends for each country. However, the total GDP for a country is also dependent on the population of the country. To confirm that we do not percieve a country spending less through the comparison of total Healthcare Spending Vs. Total GDP, let's further breakdown the metric to per person spending.
The table breakdown now changes some of the country standings when we look at the data from the perspective of per person. For example, China was number three on the table above, but now the third to last. The UK also rose slightly higher. However, the US remains to be on the bottom despite it’s increasing trend. Australia seems to care the most about its citizens when it comes to healthcare as it stands as number one for overall spending and per person spending.
As we interact with each country’s spending trend per person from 2012 to 2018 on this line graph, we see the trends to be consistent from 2012-2018. Therefore, we can surmise that for the most part, the countries have not increased their spending for each individual, but the volume of older people receiving government subsidized medical care is increasing, especially for the United States.
Now that we understand how important education is for all the countries, let's dive deeper to understand the growth of this category. What countries are have increased their spending over time by fixed value and total overall percentage?
By breaking down the difference in spending from year to year for the bar chart above, we can clearly see now how countries have changed their healthcare budgets over time. What’s surprising is only 4 of the 12 countries remain consistent for having a positive budget from 2012 to 2018. From 2014 to 2015, eight countries decreased their spending budget, some of them significantly. This is odder since that was during the start of the Ebola health crisis, therefore other external factors may have contributed such as different political stances. This was also during the tense standoff between Ukraine and Crimea; therefore, Russia may have prioritized their budget in military more in this period. South Korea and China are the only countries that maintain to almost a 10% increase throughout the entire time period.
By analyzing the healthcare spending important insights can be inferred from the visualizations:
Education is another critical need to ensure a country's population and GDP growth. Therefore, one would assume the percentage of spending in education would make up a sizeable fraction of the total GDP of a country. Similar in our healthcare spending analysis, let’s confirm our assumption by looking at the Education Spending vs Country GDP. Then breakdown how spending has changed over time.
On the table breakdown, we can see the overall spending in education for all the countries. Unlike the first breakdown in healthcare, education makes up a much larger overall percentage of the GDP for each country. The United States is at the top with highest gross average of spending but maintains a similar overall percentage of spending versus GDP of around 5% like all the other countries. However, there is an interesting outlier in our breakdown. Saudi Arabia maintains an average of almost 24% of education spending versus it’s GDP. Upon further research into this statistic, it’s been reported that the country is trying to move away it’s dependency of oil and promote higher learning of its people be able to continue to modernize and become a country of technological innovation.
The line graph provides a further breakdown how countries have prioritized education from 2012 to 2016. Besides Saudi Arabia standing out, which can be removed to auto-scale the graph to the other countries, the remaining line trends remain to be consistent for the other countries. Interestingly, China remains to be the next highest, devoting 6% to 7% of its GDP to education. Brazil was staying around the average of other countries, but in 2016 made a sharp drop to 4.2%. This may have been to different budget plans with their new president. India also made a large decrease from close to 4% to 2.4% from 2013 to 2015/16.
The previous visualization gives us a better idea how education spending is and is not a prioritization for a country such as China or India. However, the total GDP for a country is also dependent on the population of the country like we realized in our healthcare drill down. To confirm that we do not percieve a country spending less through the comparison of total Education Spending Vs. Total GDP, let's further breakdown the metric to per person spending as well.
Compared to our previous breakdown of per person spending using a stacked area chart for the healthcare spending, the map distribution portrays a different illustration that highlights what countries are indeed prioritizing education spending. What’s immediately striking in the map is China. Even though we inferred above that China’s overall percent of spending compared to GDP was above average, their actual per person spending is significantly lower compared to that of other countries. However, this discrepancy could be contributed to the significant population China has compared to others. The United States, Australia, and Europe remain to be in the middle. And of course, Saudi Arabia sticks out again for having a significantly higher per person spending rate.
Now that we understand how important education is for all the countries, let's dive deeper to understand the growth of this category. What countries have increased their spending over time by fixed value and total overall percentage?
By breaking down the difference in spending from year to year for the bar chart above, we can clearly see now how countries have changed their education budgets over time. The first immediate piece noticed is that almost all the countries have had decreased percentage growth from 2012 to 2016. Only China and the United States have managed for the most part to have a near-positive growth rate in education spending, but not very significant.  Seven of the twelve countries all have declining growth for the latest data available indicating that their spending budgets may have other priorities than education given the current situation of the world.
By analyzing the education spending important insights can be inferred from the visualizations:
As analyzed above, healthcare & education spending only make up a fraction of a country's total GDP. Previously in our executive summary we also saw that military spending almost made up 20% to 40% of the total spending of all the categories. Before diving deeper on this category of spending, let's first understand the total Military Spending Vs. Country GDP. Then see how spending has changed over time.
On the table breakdown, we can see the overall spending in military for all the countries. Unlike the previous breakdowns, military spending for the most part makes up a smaller average percentage of GDP compared to education, but still higher than healthcare. The United States is at the top again with highest gross average of spending but maintains a similar overall percentage that hovers between 4% to close to 2%. However, both the United Kingdom and Saudi Arabia have a significantly higher overall percentage of GDP in military spending. Both the U.S. and UK have a close relationship with Saudi Arabia, therefore it’s likely all three countries collaborate closely for military resources.
The line graph provides another further breakdown how countries have prioritized military spending from 2012 to 2019. Besides the United States standing out, which can be removed to auto-scale the graph to the other countries, the remaining line trends remain to be consistent for the other countries. However, China seems to be significantly increasing it’s spending since 2016. This may likely be due to the latest controversy of island disputes in the South China Sea, but if their growth continues their total mean spending may eventually rival the United States.
The previous visualization gives us a better idea how military spending is and is not a prioritization for a country. However, the total GDP for a country is also dependent on the population of the country as we learned from our previous analyses in the healthcare and education spending. To confirm that we do not percieve a country spending less through the comparison of total Military Spending Vs. Total GDP, let's again further breakdown the metric to per person spending.
The bubble chart provides another different illustration to help depict the differences in per person military spending by growth rate compared to the stacked area chart and map. Some of the immediate insights we can gain is that most of the European countries have similar average per person spending as most Asian countries, but the Asian countries have a higher growth rate. Russia may have a higher per person spending average but appears to be slowing its growth in spending. This maybe likely due to tensions between Ukraine and Crimea gradually easing since the military spending data is more recent. The United States is again consistent maintaining a balance of high spending per person and a slight decrease or increase in growth depending on the year. And Saudi Arabia and the United Kingdom have been significantly growing and increasing the average per person spending.
By analyzing the military spending important insights can be inferred from the visualizations:
In the beginning, we looked at a high level the total distribution between the top G-20 countries spending in healthcare, education, and military from approximately 2012 to 2019. After drilling down in all the categories to carefully analyze and visualize, a story can be inferred that paints a picture of prioritized investments for some of the most developed countries in the world. Most importantly, we can see how some of the largest developed countries are maintaining their status based on these spending categories. Below are some of the most impactful observations that may likely change how they are viewed to world and ultimately more successful.
It’ll be certainly interesting to watch these top 3 countries evolve as the world continues to develop…


Freshly Baked Pit Scouter
A simple pit scouter app that allows you to write and read information about a robot in the pit.
Email Address
Password
Login
Register
Teams
Create New Team
Setup New Team!
Team Number


metropolis_coupling.Rmd
Writing a good MCMC becomes considerably harder when the posterior distribution is 1) highly correlated, and/or 2) highly multimodal. For exampe, if your posterior has twin peaks then ordinary Metropolis-Hastings might not be enough. Hamiltonian Monte Carlo (HMC) can help with correlated distributions, as it allows the proposal particle to “roll around” the target distribution allowing it to go round corners, but it still struggles with multimodal distributions, as it is unlikely that the particle will have enough momentum to cross deep valleys in the likelihood. Metropolis coupling, on the other hand, tends to mitigate both problems and requires nothing more than some extra chains. Note that this is separate from the concept of running multiple chains to diagnose performance, which is dealt with in a separate vignette.
This vignette demonstrates how Metropolis coupling can be implemented within drjacoby to solve a deliberately awkward MCMC problem.
For this example we will start by writing the likelihood and prior functions in C++. If this sounds unfamiliar to you, check out the earlier vignette for a simple example. Our basic model will assume that our data are normally distributed with mean alpha^2*beta
. The alpha^2
term here means that both positive and negative values of alpha
map to the same value, thereby creating a multimodal distribution, and the *beta
term ensures that alpha
and beta
are highly correlated. We will also use a third parameter epsilon
to represent some random noise that we want to integrate over. While this example is a bit contrived, it does have the advantage of being horrendously awkward!
# define cpp loglike function
loglike <- "SEXP loglike(std::vector<double> params, std::vector<double> x) {
// extract parameters
double alpha = params[0];
double beta = params[1];
double epsilon = params[2];
int n = int(x.size());
// sum log-likelihood over all data
double mean = alpha*alpha*beta + epsilon;
double ret = 0.0;
for (int i = 0; i < n; ++i) {
ret += -0.5*log(2*M_PI) - (x[i] - mean)*(x[i] - mean)/2.0;
}
// return as SEXP
return Rcpp::wrap(ret);
}"
For our prior we assume that alpha
is uniform [-10,10], beta
is uniform [0,10], and epsilon
is normally distributed with mean 0 and standard deviation 1.
# define cpp logprior function
logprior <- "SEXP logprior(std::vector<double> params){
// extract parameters
double epsilon = params[2];
// calculate logprior
double ret = -log(20.0) - log(10) - 0.5*log(2*M_PI) - epsilon*epsilon/2.0;
// return as SEXP
return Rcpp::wrap(ret);
}"
As always, we need to define a dataframe of parameters so that drjacoby knows what parameter ranges to expect:
# define parameters dataframe
df_params <- data.frame(name = c("alpha", "beta", "epsilon"),
min = c(-10, 0, -Inf),
max = c(10, 10, Inf),
init = c(5, 5, 0))
Finally, we need some data. For simplicity we will use a series of draws from a normal distribution with mean 10:
First, we will try running the basic MCMC without Metropolis coupling. The following block of code repeats the same MCMC analysis nine times, each time producing a plot of posterior alpha
against beta
:
plot_list <- list()
for (i in 1:9) {
# run MCMC
mcmc_out <- run_mcmc(data = x,
df_params = df_params,
loglike = loglike,
logprior = logprior,
burnin = 1e3,
samples = 1e4,
chain = 1,
silent = TRUE)
# create plot of alpha against beta
plot_list[[i]] <- plot_cor(mcmc_out, parameter1 = "alpha", "beta") +
ggplot2::ylim(0, 10) + ggplot2::xlim(-10, 10) + ggplot2::theme(legend.position="none")
}
# plot grid
gridExtra::grid.arrange(grobs = plot_list)
Clearly this MCMC is not mixing well! By looking over all nine plots we can get a rough idea of what the distribution should look like, but no single MCMC run has captured it adequately. You can experiment with increasing the number of samples - you should get better results for more samples, but a very large number of samples are needed before we get good mixing between the left and right sides of the distribution.
Metropolis coupling is perfectly designed to solve this kind of problem. To activate Metropolis coupling we need to specify an additional argument to the run_mcmc()
function - the number of rungs
. In this example we use 20 rungs, meaning we run 20 chains, each at a different temperature. Note that $rung1
in the output always corresponds to the cold chain, and increasing rungs have increasing temperatures.
# run MCMC
mcmc_out <- run_mcmc(data = x,
df_params = df_params,
loglike = loglike,
logprior = logprior,
burnin = 1e3,
samples = 1e4,
rungs = 20,
chains = 1,
pb_markdown = TRUE)
#> MCMC chain 1
#> burn-in
#>
|
|======================================================================| 100%
#> acceptance rate: 23.8%
#> sampling phase
#>
|
|======================================================================| 100%
#> acceptance rate: 23.4%
#>
#> completed in 0.594195 seconds
# create plot of alpha against beta
plot_cor(mcmc_out, parameter1 = "alpha", "beta") +
ggplot2::ylim(0, 10) + ggplot2::xlim(-10, 10) + ggplot2::theme(legend.position="none")
You should see a much better characterisation of the posterior distribution. The run time scales approximately linearly with the number of rungs, so there is a computational cost to using this method, but on the other hand our results are far better than we would obtain by simply increasing the number of samples by a factor of 20.
Metropolis coupling in drjacoby works by proposing swaps betweed adjacent rungs in the temperature ladder, which are accepted or rejected according to the standard Metropolis-Hastings ratio. If, for example, a hot rung happens upon a set of parameter values that have high likelihood then there is a good chance these values will be swapped up to the next rung. In this way, information can effectively bubble-sort its way from the prior (the hottest rung) to the posterior (the coldest rung). The average chance of a swap being accepted depends on the two adjacent rungs being similar enough in distribution that values drawn from one have a high likelihood in the other. This, in turn, means that swaps have a higher chance of being accepted when we have a large number of densely distributed rungs.
To explore this, we start by re-running the above MCMC with a small number of rungs and a small number of samples to highlight the problem. We can use the plot_mc_acceptance()
function to plot the acceptance rate between rungs:
# run MCMC
mcmc_out <- run_mcmc(data = x,
df_params = df_params,
loglike = loglike,
logprior = logprior,
burnin = 1e3,
samples = 1e3,
rungs = 10,
chains = 1,
GTI_pow = 1.0,
silent = TRUE)
# plot coupling acceptance rates
plot_mc_acceptance(mcmc_out)
The 10 vertical grey bars in the above plot show the positions of our 10 rungs in the thermodynamic interval [0,1], and the red dots between them show the proportion of swaps that were accepted between rungs. Notice that the acceptance rate between the hottest and second-hottest rung is zero, meaning none of the information in the hottest rung made it up the ladder to the colder rungs. We can see the problems this causes when we plot the posterior parameter values:
plot_cor(mcmc_out, parameter1 = "alpha", "beta") +
ggplot2::ylim(0, 10) + ggplot2::xlim(-10, 10) + ggplot2::theme(legend.position="none")
Although we have some mixing between the left and right sides of the distribution, overall sampling is still a bit patchy.
One way of improving mixing between rungs is simply to increase the number of rungs, so the distance between distributions is smaller:
# run MCMC
mcmc_out <- run_mcmc(data = x,
df_params = df_params,
loglike = loglike,
logprior = logprior,
burnin = 1e3,
samples = 1e3,
rungs = 50,
chains = 1,
GTI_pow = 1.0,
silent = TRUE)
# plot coupling acceptance rates
plot_mc_acceptance(mcmc_out)
# create plot of alpha against beta
plot_cor(mcmc_out, parameter1 = "alpha", "beta") +
ggplot2::ylim(0, 10) + ggplot2::xlim(-10, 10) + ggplot2::theme(legend.position="none")
This mitigates the problem to some extent, as we now have acceptance rates going “deeper” towards the prior, however the hottest rung is still not passing information up the ladder. It comes at a high computational cost, as we are effectively running the MCMC 50 times. A more efficient method is usually to change the distribution of rungs so they are more concentrated at low thermodynamic powers (i.e. near the prior end of the spectrum). This can be achieved through the parameter GTI_pow
, in which higher values lead to more highly concentrated rungs. The previous two MCMCs had GTI_pow
set to 1.0 leading to evenly distributed rungs between [0,1]. Now we repeat the MCMC with 20 rungs and GTI_pow = 3.0
:
# run MCMC
mcmc_out <- run_mcmc(data = x,
df_params = df_params,
loglike = loglike,
logprior = logprior,
burnin = 1e3,
samples = 1e3,
rungs = 20,
chains = 1,
GTI_pow = 3.0,
silent = TRUE)
# plot coupling acceptance rates
plot_mc_acceptance(mcmc_out)
# create plot of alpha against beta
plot_cor(mcmc_out, parameter1 = "alpha", "beta") +
ggplot2::ylim(0, 10) + ggplot2::xlim(-10, 10) + ggplot2::theme(legend.position="none")
We find that with just 20 rungs we have decent acceptance rates all the way through the temperature ladder. We can therefore be condifent that the prior is “talking to” the posterior. When this is the case it is unlikely (but not impossible) that your MCMC is still missing large parts of the posterior distribution.
In summary, the correct number of rungs is enough that we have decent acceptance rates all the way through our temperature ladder. We can explore the impact this is having on our posterior distribution by running multiple chains.


- packPath - Variable in class org.ardenus.resource.ResourcePack
-
- parse(String) - Method in class org.ardenus.config.BooleanConfigProperty
-
- parse(String) - Method in class org.ardenus.config.ConfigProperty
-
- parse(String) - Method in class org.ardenus.config.FloatConfigProperty
-
- parse(String) - Method in class org.ardenus.config.IntegerConfigProperty
-
- parse(InputStream) - Static method in class org.ardenus.json.Json
-
Parses the specified input stream.
- parseBoolean(String) - Static method in class org.ardenus.utils.Parser
-
- parseByte(String) - Static method in class org.ardenus.utils.Parser
-
- parseInt(String) - Static method in class org.ardenus.utils.Parser
-
- parseLong(String) - Static method in class org.ardenus.utils.Parser
-
- Parser - Class in org.ardenus.utils
-
Used to parse values from one type to another.
- Parser() - Constructor for class org.ardenus.utils.Parser
-
- parseSecret(String) - Static method in class org.ardenus.discord.DiscordParty
-
Converts the compressed and encrypted secret back to a normal byte array.
- parseShort(String) - Static method in class org.ardenus.utils.Parser
-
- parseUnsignedByte(String) - Static method in class org.ardenus.utils.Parser
-
- parseUnsignedInt(String) - Static method in class org.ardenus.utils.Parser
-
- parseUnsignedShort(String) - Static method in class org.ardenus.utils.Parser
-
- party - Static variable in class org.ardenus.discord.Discord
-
- partyId - Variable in class org.ardenus.discord.DiscordParty
-
- partyMax - Variable in class org.ardenus.discord.DiscordParty
-
- partySize - Variable in class org.ardenus.discord.DiscordParty
-
- PATH_SEPARATOR - Static variable in class org.ardenus.resource.Resource
-
- pause(boolean) - Method in class org.ardenus.audio.Sound
-
Pauses the sound.
- pause() - Method in class org.ardenus.audio.Sound
-
Pauses the sound.
- PegaController - Class in org.ardenus.input.controller.wireless
-
An iPega™ controller.
- PegaController(WirelessInputHandler, int, String, String) - Constructor for class org.ardenus.input.controller.wireless.PegaController
-
- person - Static variable in class org.ardenus.discord.Discord
-
- pingPong - Variable in class org.ardenus.graphics.image.Animation
-
- pipeListeners - Variable in class org.ardenus.input.handler.GameCubeHandler.GameCubeAdapterThread
-
- play(boolean) - Method in class org.ardenus.audio.Sound
-
Plays the sound.
- play() - Method in class org.ardenus.audio.Sound
-
Plays the sound.
- PLAYER_COUNT_ATTRIBUTE - Static variable in class org.ardenus.ArdenusManifest
-
- playerNumber - Variable in class org.ardenus.input.controller.Controller
-
- PlayStationController - Class in org.ardenus.input.controller.wireless
-
A Sony PlayStation 4™ controller.
- PlayStationController(WirelessInputHandler, int, String, String) - Constructor for class org.ardenus.input.controller.wireless.PlayStationController
-
- pollEvents() - Static method in class org.ardenus.Window
-
Polls and updates GLFW.
- position - Variable in class org.ardenus.graphics.Camera
-
- pressButton(Button, boolean, boolean) - Static method in class org.ardenus.input.Input
-
Sets the press state of the specified button.
- pressButton(Button, boolean) - Static method in class org.ardenus.input.Input
-
Sets the press state of the specified button.
- previousInterfaces - Variable in class org.ardenus.input.handler.GameCubeHandler
-
- primaryMonitor - Static variable in class org.ardenus.Monitor
-
- printShaderSource(String, PrintStream) - Static method in class org.ardenus.graphics.shader.Shader
-
Prints the shader source code to the specified stream.
- PRODUCT_ID - Static variable in class org.ardenus.input.handler.GameCubeHandler
-
- Program - Class in org.ardenus.utils
-
Used to get information and manage the main program that is currently
running.
- Program() - Constructor for class org.ardenus.utils.Program
-
- programId - Variable in class org.ardenus.graphics.shader.Shader
-
- PROJECTION_MATRIX - Static variable in class org.ardenus.graphics.shader.global.ShaderGlobal
-
- pulseKeyboardColor(int, int, int, int, int) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses all of the keys on the keyboard color based on the specified RGB,
duration, and interval values.
- pulseKeyboardColor(Color, int, int) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses all of the keys on the keyboard color based on the specified
color, duration, and interval.
- pulseKeyboardColor(int, int, int) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses all of the keys on the keyboard color based on the specified
color, duration, and interval.
- pulseKeyboardColor(int, int, int, int, int, int, int, boolean) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses all of the keys on the keyboard color based on the specified RGB,
duration, and interval values.
- pulseKeyboardColor(Color, Color, int, boolean) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses all of the keys on the keyboard color based on the specified
color, duration, and interval.
- pulseKeyboardColor(int, int, int, boolean) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses all of the keys on the keyboard color based on the specified
color, duration, and interval.
- pulseKeyColor(KeyboardKey, int, int, int, int, int, int, int, boolean) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses the specified key on the keyboard based on the specified RGB,
duration, and interval values.
- pulseKeyColor(KeyboardKey, Color, Color, int, boolean) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses the specified key on the keyboard based on the specified color,
duration, and interval.
- pulseKeyColor(KeyboardKey, int, int, int, boolean) - Static method in class org.ardenus.input.controller.keyboard.KeyboardController
-
Pulses the specified key on the keyboard based on the specified color,
duration, and interval.
- put(String, String) - Method in class org.ardenus.list.Arguments
-


Top level args: {{.}}
{{/* This template instantiates (transcludes) two parts, one with args, two without */}} {{template "one" .}} {{template "two"}}


Amazon Career Choice Zoo Organization
Here you will be able to see the different Zoo's that we have in our organization as well as the animals that are at each zoo.
We have created a way for you to add your own Zoo, Animals, and Employee's
{% load static %}
Here you will be able to see the different Zoo's that we have in our organization as well as the animals that are at each zoo.
We have created a way for you to add your own Zoo, Animals, and Employee's


------------------------------------------------------------------------------------------------------------------
This is the 2nd update of NewType
This version features a log access, other stuff area, better settings, and more. We got to work on this version and we are proud. We added a coding area too but it is not for use yet. 0.0.7-alpha will feature this though. We have also added it to be a dark mode color! Can't wait for v0.0.7-alpha!
-----------------------------------------
Area's you can go.


{% include 'navbar.html' %}
File name
File type
Created
File size
{% for upload in uploads %}
{{ upload[0] }}
{{ upload[1] }}
{{ upload[2] }}
{{ upload[3] }}
{% endfor %}


Manufacturing and Trading of Ladies Kurti, Embroidery Kurti, long Kurti, Printed Kurti and Stand Collar Kurti.
Find Out MoreWe “Naba Fashion”, are engaged in manufacturer, wholesaler and supplier of Fashionable kurti. In our product range we offer Long Kurti, Ladies Kurtis , Stand Collar Kurti, Casual Kurtis and Fancy Kurtis. Under this we supply many sub products to meet the precise need of our customers to name some it includes Full Sleeves Kurtis, Half Sleeves Cotton Kurtis, Round Neck Kurtis etc. These are widely appreciated for features like shrink conflict, colour stronghold, neat needlecraft and high tear strength. Owing to our well industrial infrastructural amenities, we offer apparel in a variety of shapes, sizes, patterns and colour combinations.
Get Started!We give what customer pay for, Without compromising the Quality.
Our apparels are ready to ship on time.
Our designs are upto date with today's standards.
We develop, Update and adjust our apparels based on customer feedback.
Ready to start your business with us? That's great! Give us a call or send us an email and we will get back to you as soon as possible!
+91-9886860063
+91-8826210547


| Interface | Description |
|---|---|
| Transformer |
| Class | Description |
|---|---|
| AdapterTransformer | |
| ArrayTransformer |
Transforms java Array into JSON array
|
| CollectionTransformer |
Converts Collection into Json array.
|
| DateTransformer |
Transforms Date field defined by
DateField annotation |
| EnumTransformer |
Converts enum into Json Object in following syntax:
{
'name': this.name()
}
|
| JsonDefinedTransformer |
Transformer for classes defined with annotation @JsonClass
|
| JsonParser | |
| ListTransformer |
Transforms list into JSON array
|
| MapTransformer |
Transforms Java Map to Json map
|
| NullTransformer |
Transforms Null
|
| PrimitiveTransformer | |
| SetTransformer |
Transforms Set into Json array
|
| StringTransformer |
Transforms String into Json.
|
| TransformerFactory | |
| TransformerImpl |
Copyright © 2016. All rights reserved.


Delphin Parser¶
-
delphin_6_automation.file_parsing.delphin_parser.
cvode_stats_to_dict
(path: str) → dict[source]¶ Converts a Delphin integrator_cvode_stats file into a dict.
Parameters: path – path to folder Returns: converted tsv dict
-
delphin_6_automation.file_parsing.delphin_parser.
d6o_to_dict
(path: str, filename: str, number_of_hours: Optional[int] = None) → Tuple[list, dict][source]¶ Converts a Delphin results file into a dict.
Parameters: - path – path to folder
- filename – file name with extension
Returns: converted result dict
-
delphin_6_automation.file_parsing.delphin_parser.
dict_to_cvode_stats_file
(file_dict: dict, log_path: str) → bool[source]¶ Turns a dictionary into a delphin cvode stats file.
Parameters: - file_dict – Dictionary holding the information for the cvode stats file
- log_path – Path to were the cvode stats file should be written
Returns: True
-
delphin_6_automation.file_parsing.delphin_parser.
dict_to_d6o
(result_dict: dict, result_path: str, simulation_start: datetime.datetime, geometry_file_name: str, geometry_file_hash: int) → bool[source]¶ Turns a dictionary into a delphin result file.
Parameters: - result_dict – Dictionary representation of the database entry
- result_path – Path to were the result file should be written
- simulation_start – Start time for the simulation
- geometry_file_name – Name of the geometry file
- geometry_file_hash – Hash of the geometry file
Returns: True
-
delphin_6_automation.file_parsing.delphin_parser.
dict_to_g6a
(geometry_dict: dict, result_path: str) → bool[source]¶ Turns a dictionary into a delphin geometry file.
Parameters: - geometry_dict – Dictionary holding the information for the geometry file
- result_path – Path to were the geometry file should be written
Returns: True
-
delphin_6_automation.file_parsing.delphin_parser.
dict_to_les_stats_file
(file_dict: dict, log_path: str) → bool[source]¶ Turns a dictionary into a delphin les stats file.
Parameters: - file_dict – Dictionary holding the information for the les stats file
- log_path – Path to were the les stats file should be written
Returns: True
-
delphin_6_automation.file_parsing.delphin_parser.
dict_to_progress_file
(file_dict: dict, log_path: str) → bool[source]¶ Turns a dictionary into a delphin progress file.
Parameters: - file_dict – Dictionary holding the information for the progress file
- log_path – Path to were the progress file should be written
Returns: True
-
delphin_6_automation.file_parsing.delphin_parser.
dp6_to_dict
(path: str) → dict[source]¶ Converts a Delphin 6 project file to a python dict.
Parameters: path – Path to the Delphin project file Returns: Dictionary with the project file information
-
delphin_6_automation.file_parsing.delphin_parser.
g6a_to_dict
(path: str, filename: str) → dict[source]¶ Converts a Delphin geometry file into a dict.
Parameters: - path – path to folder
- filename – file name with extension
Returns: converted geometry dict
-
delphin_6_automation.file_parsing.delphin_parser.
les_stats_to_dict
(path: str) → dict[source]¶ Converts a Delphin LES_direct_stats file into a dict.
Parameters: path – path to folder Returns: converted les stats dict
-
delphin_6_automation.file_parsing.delphin_parser.
progress_to_dict
(path: str) → dict[source]¶ Converts a Delphin progress file into a dict.
Parameters: path – path to folder Returns: converted progress dict
-
delphin_6_automation.file_parsing.delphin_parser.
write_log_files
(result_obj: delphin_6_automation.database_interactions.db_templates.result_raw_entry.Result, download_path: str) → bool[source]¶ Turns a result database entry into a delphin log file.
Parameters: - result_obj – Database entry
- download_path – Path to were the log file should be written
Returns: True


{% extends 'base.html' %} {% block form %}
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General
Advanced
Addons
Misc
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Description
User Limit
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Anyone
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World Record URL
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The purpose of this plugin is to extend our Sample plugin by making it possible for the user to add two numbers, be it from the command line or through OpenCOR's Tools
menu.
i18n └─ SampleTools_fr.ts res └─ SampleTools_i18n.qrc.in src ├─ sampletoolsplugin.cpp ├─ sampletoolsplugin.h └─ sampletoolsplugin.json CMakeLists.txt
Our plugin is part of the Sample
category, which means that its code can be found under [OpenCOR]/src/plugins/sample/SampleTools/
.
Unlike for the Sample plugin, we want our plugin to interact with OpenCOR. This means that it needs to implement some interfaces (click here for some information on interfaces).
More specifically, we want our plugin to work from the command line, so we need to implement the CLI interface. We also want our plugin to work through OpenCOR's Tools
menu, which involves creating a menu item and making it available to OpenCOR so that it can add it for us to its Tools
menu. To do these, we need to implement both the GUI and plugin interfaces. While we are at it, we might as well internationalise our plugin, in which case it means that we also need to implement the internationalisation interface.
As for the Sample plugin, our plugin has a CMakeLists.txt
file, which contents is:
PROJECT(SampleToolsPlugin) # Add the plugin ADD_PLUGIN(SampleTools SOURCES../../guiinterface.cpp
../../i18ninterface.cpp
../../plugininfo.cpp
src/sampletoolsplugin.cpp
HEADERS_MOCsrc/sampletoolsplugin.h
INCLUDE_DIRS src PLUGINS Core Sample )
Some of the interfaces our plugin implements come with a .cpp
file, so we reference them (lines 7 and 9). Then, our plugin needs the Core and Sample plugins (the latter, to be able to use its add()
function), so they are referenced (lines 17 and 18) using the PLUGINS
keyword (line 16).
Our plugin information can be found in sampletoolsplugin.cpp
, sampletoolsplugin.h
and sampletoolsplugin.json
. Starting with sampletoolsplugin.h
, its contents is:
#include "cliinterface.h
" #include "guiinterface.h
" #include "i18ninterface.h
" #include "plugininfo.h
" #include "plugininterface.h
" //============================================================================== namespace OpenCOR { namespace SampleTools { //============================================================================== PLUGININFO_FUNC SampleToolsPluginInfo(); //============================================================================== class SampleToolsPlugin : public QObject, public CliInterface, public GuiInterface, public I18nInterface, public PluginInterface { Q_OBJECT Q_PLUGIN_METADATA(IID "OpenCOR.SampleToolsPlugin" FILE "sampletoolsplugin.json
") Q_INTERFACES(OpenCOR::CliInterface) Q_INTERFACES(OpenCOR::GuiInterface) Q_INTERFACES(OpenCOR::I18nInterface) Q_INTERFACES(OpenCOR::PluginInterface) public: #include "cliinterface.inl
" #include "guiinterface.inl
" #include "i18ninterface.inl
" #include "plugininterface.inl
" private: QAction *mAddTwoNumbersAction; void runHelpCommand(); int runAddCommand(const QStringList &pArguments); private slots: void addTwoNumbers(); }; //============================================================================== } // namespace SampleTools } // namespace OpenCOR
As mentioned above, our plugin implements some interfaces, which means that their header file is included (lines 26-28 and 30). It also means that our plugin class inherits from those interfaces (lines 43-45), as well as make calls to the Q_INTERFACES()
macro to let Qt know which interfaces it implements (lines 51-54). Finally, we include the inline files (lines 57-60) that declare various methods that must be implemented by our plugin (see the next section). (The rest of the class definition is specific to our plugin and is discussed below.)
The C function that is used by OpenCOR to retrieve some basic information about our plugin can be found in sampletoolsplugin.cpp
:
PLUGININFO_FUNC SampleToolsPluginInfo() { Descriptions descriptions; descriptions.insert("en", QString::fromUtf8("a plugin that provides an addition tool.")); descriptions.insert("fr", QString::fromUtf8("une extension qui fournit un outil d'addition.")); return new PluginInfo("Sample", true, true, QStringList() << "Core" << "Sample", descriptions); }
As can be seen, our plugin is selectable by the user and it offers direct CLI support (line 51). It also has a direct dependency on the Core and Sample plugins (line 52).
The implementation of the interfaces' various methods can also be found in sampletoolsplugin.cpp
. The methods are grouped by interface and are ordered alphabetically. The interfaces are also ordered alphabetically, making it easier to read and maintain the code.
We start with the CLI interface:
//============================================================================== // CLI interface //============================================================================== int SampleToolsPlugin::executeCommand(const QString &pCommand, const QStringList &pArguments) { // Run the given CLI command if (!pCommand.compare("help")) { // Display the commands that we support runHelpCommand(); return 0; } else if (!pCommand.compare("add")) { // Add some numbers return runAddCommand(pArguments); } else { // Not a CLI command that we support, so... runHelpCommand(); return -1; } } //==============================================================================
As can be seen, our plugin handles both the help
and add
commands (lines 65-71 and 71-75, respectively).
Next, we have the GUI interface:
//============================================================================== // GUI interface //============================================================================== void SampleToolsPlugin::updateGui(Plugin *pViewPlugin, const QString &pFileName) { Q_UNUSED(pViewPlugin); Q_UNUSED(pFileName); // We don't handle this interface... } //============================================================================== Gui::Menus SampleToolsPlugin::guiMenus() const { // We don't handle this interface... return Gui::Menus(); } //============================================================================== Gui::MenuActions SampleToolsPlugin::guiMenuActions() const { // Return our menu actions return Gui::MenuActions() << Gui::MenuAction(Gui::MenuAction::Tools, mAddTwoNumbersAction) << Gui::MenuAction(Gui::MenuAction::Tools); } //==============================================================================
Our plugin does not need to do anything whenever OpenCOR needs to update the GUI, so we do nothing in updateGui()
(lines 88-94). Similarly, we do not need to add menus to OpenCOR, so all guiMenus()
does is return Gui::Menus()
(lines 98-103). However, we do want to add a menu action (and a menu separator) to OpenCOR's Tools
menu, which we do via guiMenuActions()
(lines 107-113). Note that mAddTwoNumbersAction
is initialised in our implementation of the plugin interface (see below).
After the GUI interface, we have the internationalisation interface:
//============================================================================== // I18n interface //============================================================================== void SampleToolsPlugin::retranslateUi() { // Retranslate our different Tools actions retranslateAction(mAddTwoNumbersAction, tr("Add Two Numbers..."), tr("Add two numbers together")); } //==============================================================================
All that we need to do here is to (re)translate mAddTwoNumbersAction
with the actual (French) translations in SampleTools_fr.ts
(together with some other translations needed in the next section).
Finally, we have the plugin interface:
//============================================================================== // Plugin interface //============================================================================== void SampleToolsPlugin::initializePlugin() { // Create our Add Two Numbers action mAddTwoNumbersAction = new QAction(Core::mainWindow()); // A connection to handle our Add Two Numbers action connect(mAddTwoNumbersAction, SIGNAL(triggered()), this, SLOT(addTwoNumbers())); } //============================================================================== void SampleToolsPlugin::finalizePlugin() { // We don't handle this interface... } //============================================================================== void SampleToolsPlugin::pluginsInitialized(const Plugins &pLoadedPlugins) { Q_UNUSED(pLoadedPlugins); // We don't handle this interface... } //============================================================================== void SampleToolsPlugin::loadSettings(QSettings *pSettings) { Q_UNUSED(pSettings); // We don't handle this interface... } //============================================================================== void SampleToolsPlugin::saveSettings(QSettings *pSettings) const { Q_UNUSED(pSettings); // We don't handle this interface... } //============================================================================== void SampleToolsPlugin::handleUrl(const QUrl &pUrl) { Q_UNUSED(pUrl); // We don't handle this interface... } //==============================================================================
The only method of interest to our plugin is initializePlugin()
(lines 130-140), which is where we initialise mAddTwoNumbersAction
, among a couple of other things. All the other methods (finalizePlugin()
, pluginsInitialized()
, loadSettings()
, saveSettings()
and handleUrl()
) are left empty.
Some extra methods are needed to get our plugin to do what it is supposed to be doing. They are declared in the SampleToolsPlugin
class in sampletoolsplugin.h
:
private: QAction *mAddTwoNumbersAction; void runHelpCommand(); int runAddCommand(const QStringList &pArguments); private slots: void addTwoNumbers();
Their implementation can be found in sampletoolsplugin.cpp
:
//============================================================================== // Plugin specific //============================================================================== void SampleToolsPlugin::runHelpCommand() { // Output the commands we support std::cout << "Commands supported by SampleTools:" << std::endl; std::cout << " * Display the commands supported by SampleTools:" << std::endl; std::cout << " help" << std::endl; std::cout << " * Add two numbers:" << std::endl; std::cout << " add" << std::endl; } //============================================================================== int SampleToolsPlugin::runAddCommand(const QStringList &pArguments) { // Make sure that we have the correct number of arguments if (pArguments.count() != 2) { runHelpCommand(); return -1; } // Make sure that the two arguments are valid numbers bool ok; double nb1 = pArguments.first().toDouble(&ok); if (!ok) { std::cout << "Sorry, but " << qPrintable(pArguments.first()) << " is not a valid number." << std::endl; return -1; } double nb2 = pArguments.last().toDouble(&ok); if (!ok) { std::cout << "Sorry, but " << qPrintable(pArguments.last()) << " is not a valid number." << std::endl; return -1; } // Add the two numbers and output the result std::cout << qPrintable(pArguments.first()) << " + " << qPrintable(pArguments.last()) << " = " << Sample::add(nb1, nb2) << std::endl; return 0; } //============================================================================== void SampleToolsPlugin::addTwoNumbers() { bool ok; double nb1 = QInputDialog::getDouble(Core::mainWindow(), tr("Add Two Numbers"), tr("First number:"), 0, -2147483647,<PHONE_NUMBER>, 1, &ok); double nb2; if (ok) { nb2 = QInputDialog::getDouble(Core::mainWindow(), tr("Add Two Numbers"), tr("Second number:"), 0, -2147483647,<PHONE_NUMBER>, 1, &ok); if (ok) QMessageBox::information(Core::mainWindow(), tr("Add Two Numbers"), QString::number(nb1)+" + "+QString::number(nb2)+" = "+QString::number(Sample::add(nb1, nb2))); } } //==============================================================================
runHelpCommand()
(lines 189-198) is the method that is executed whenever our plugin is asked to handle the help
command. It provides the user with some information about the commands it supports. In a similar way, runAddCommand()
(lines 202-237) is executed whenever our plugin is asked to handle the add
command. It checks that two numbers have been passed to the command and, if so, returns their sum to the user.
addTwoNumbers()
(lines 241-255) is a Qt slot that is executed whenever the user selects our menu item (see mAddTwoNumbersAction
). Using a GUI approach, it asks the user to provide two numbers and returns their sum, unless the user decides to cancel the action.


APIRESTFake
by joseluisgs
Available resources
You can use GET, POST, PUT, PATCH and DELETE. Changes aren't persisted between calls.
Source
https://github.com/joseluisgs/APIRESTFake/blob/[main|master]/db.json
You can use GET, POST, PUT, PATCH and DELETE. Changes aren't persisted between calls.
https://github.com/joseluisgs/APIRESTFake/blob/[main|master]/db.json


--- layout: documentation title: RelatedPackageRefsType ---
Identifies or characterizes relationships to set of related Packages.
| Field Name | Type | Description |
|---|---|---|
| Package_Reference0..n | RelatedPackageRefType |
Identifies or characterizes a relationship to a related Package defined elsewhere |


Demonstrates the use of clustering with adaptive settings depending on the level of zoom.
Current zoom level: ? | Deativate| View the sundials-cluster.js source to see how this is done.


hfy2epub is web-tool to turn post series from reddit.com/r/HFY into EPUB files for easy offline consumption with a reader or text-to-speech.
All work to identify the posts, fetch them and turn them into an EPUB are performed in the browser.
Note: Be fair to the authors. Do not distribute the resulting EPUB files unless you own the rights to all the material and/or the author gave you permission. In general respect the author's wishes and do not use this tool if the author is not ok with it. When in doubt ask the author.


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--- layout: post title: no title date: '2015-11-02T18:31:27+01:00' categories: - Storyboards picture_url: https://film-Storyboards.tumblr.com/post/132438566602 ---