Setting up linux in Rock64 SBC for the first time
I recently purchased a Rock64 SBC (from pine64), which is a fairly powerful and inexpensive micro computer. You can think of it as a more powerful alternative to the famous raspberry pi (to date). The idea is setting this up as a media center for my home and as a micro server, for storing my personal projects in repositories and similar. I also acquired a eMMC module which I haven't tested yet because I have to wait for the serial-USB converter thing to arrive, once I get my hands into this I will let you know in a future blog post.
Installing Linux into SD and first steps
As you could guess, flashing linux into the SD is pretty straightforward, to avoid complications I just used ayufan's images which are already configured to work on the Rock64 SBC. I do have to tell that I had better results using the ubuntu bionic-lxde image for rock64/arm64. I tried with the minimal bionic image but had performance issues that I did not experienced with the lxde one. One of the main reasons for choosing this image is that the experimental hardware acceleration when playing videos allegedly works better with this image.
To flash the SD you just download the desired image in *.img.xz
format
from the ayufan's repository (link above), insert the SD into your laptop, or
whatever device you will be using to flash it, and then use a software to
flash it. In my case I found the software Etcher really
easy and complete enough to use. You may have Etcher available in your
linux package system (I know it's in Solus, which is the Linux distribution
I'm using). The process of using Etcher is pretty straightfoward, you just
look for the image file, select the SD/SD-reader and click "Flash", it takes
some minutes depending on your SD and system. Take into account that Etcher
is also available for Windows and Mac.
After it completes, you just plug the microSD into the Rock64 board and
turn it on either by plugging it to power or pushing the power button on
it. It will load the Linux image from SD automatically. You will then get
a login display which you can use rock64
for both user and password and
this will end up loading the LXDE desktop environment.
Getting sound to work
After installing and booting Ubuntu image, everything worked as expected except for the sound. As sonn as I logged into the desktop graphical environment I could hear some noises coming from the speakers of the TV that was connected to the Rock64 but no sound, at all, after that. What I thought was that pulseaudio somehow was not working fine in this architecture, therefore I thought of disabling it completely and letting the system use only ALSA, which is built into the kernel. This was the solution indeed and what I did to disable and set up alsa was as follows:
- Disable pulseaudio for the user (it's not recommeded to uninstall it, disabling it should be enough), by following instruction on this site, which was done by running the following instructions:
cp /etc/pulse/client.conf /home/yourusername/.config/pulse
-
Edit the file such that the line with
; autospawn = yes
changes toautospawn=no
(note there isn't a semicolon at the beggining of the line). -
After disabling
pulseaudio
the only thing that's missing is configuring ALSA to use HDMI as the audio output. This is done by creating the file/etc/asound.conf
with the following content inside it:
pcm.!default {
type plug
slave.pcm "rock_audio_pot"
}
pcm.rock_audio_pot {
type softvol
slave {
pcm "hw:1"
}
control {
name "Master"
card 0
}
}
After this you should just reboot/restart the system.
3D accelerated video playback
As told in ayufan's site, the ubuntu bionic image comes with rkmpv which is a wrapper for mpv to make it use the hardware/GPU acceleration, such that you should only run the following command to play a video in your screen, using the GPU acceleration
rkmpv file.mkv
What I found out is that rkmpv only sets up a specific environment variable and passes some specific parameters to mpv to play the file, I thought on making them the default for my setup, this is achieved by doing the following.
First you have to edit your ~/.bashrc
file in your (for example by running
nano ~/.bashrc
), and append to the end of the file the following line
export LD_LIBRARY_PATH=/usr/lib/aarch64-linux-gnu/gbm:/usr/lib/arm-linux-gnueabihf/gbm
save and close it.
Then you just need to tell mpv to use the expected parameters as default
parameters, this is done by creating a file in ~/.config/mpv/mpv.conf
with the
following content
vo=gpu
gpu-context=drm
hwdec=rkmpp
This will just make mpv use these parameters by default when it's run without manually specified parameters/options.
Conclusion
This basically resulted in what I need so far for the Rock64, which is a basic media center and linux TV, there are some other things I wanted to install to play with it, such as installing tools like peerflix, torrentflix or kodi.
Troubleshooting
I did encounter some other problems, specifically the bionic-minimal image from
ayufan didn't work as expected. I tried installing LXQT
environment without any
luck, all I got was a black screen. Then, I also tried using budgie-wm
which
did load but the performance was very poor. Still I tried to set up mpv, for
video playback, and all the other tools without much luck. This was what finally
made me choose to use the Ubuntu bionic-lxde image, which ended up working
pretty well.


Presenting:
$TECHNOLOGY_NAME
About Me
My name: $NAME
My email or Twitter Handle
What I do: $JOB
The Problem
Description of problem goes here.
//
// Maybe some code goes here?
// Full list of class styles can be found here:
// https://github.com/isagalaev/highlight.js/blob/master/classref.txt
//
$TECHNOLOGY_NAME
Installation
Provide a simple example here that clearly illustrates the benefit of the technology
$ npm install foobar
$TECHNOLOGY_NAME
Usage
// Code sample of usage
$TECHNOLOGY_NAME
When things go wrong
Talk about errors and error handling
$TECHNOLOGY_NAME
It's a trap!
Talk about things NOT to do
Other considerations
Discuss anything else relevant here
Further Reading
Links to the technology's website and docs go here


Description
I love to tinker with things, generally my computers and sometimes when you tinker you tend to screw up and loose data, sometimes very important data like your wedding photos and everything else.
Yes you read correctly I lost my wedding photos, all of it.
Fortunately with some more tinkering and running some recovery software for a few days I managed to recover all my photos.
I few takeaways from this experience:
-
Encryption is super important for sensitive data - I managed to recover data from the drive that was a few years old and was deleted in different operating systems. Data tend to stick around on disks.
-
Backup, backup and do another backup and perhaps another - I had an independent backup on an external hard drive and I still lost data. Something odd happened were it seems like it did not do a recursive copy of all files within folders.
-
Remove backup hard drives from tinker PC - Yes build some sort of Nas to house all the drives. And this is the point of this post and is discussed throughout.
3D modeling
I have access to a 3d printer which would do nicely to make an enclosure.
I have worked with Solidworks perhaps 10 years ago doing some really basic sheet metal stuff, but never really took this up again. Cad modeling in my opinion is a fairly useful skill and any engineer should be able to do some of the basics. I see this as similar to an electronic hardware engineer not knowing anything about software doable but, easier to design if you do.
While looking around I found a few modeling packages though most of those are payed for which is fine if its something you are going to be taking a bit more seriously. In my situation I chose freecad a free and open source cad modeler it definitely has issues with random crashes and other quirks but it seems pretty capable. I watched a few Youtube videos and was good to go.
Nas Enclosure
Now most enclosures are cubes, I mean this makes sense its probably the best seeing that everything I am planning to but into the Nas is also cubes, though its boring. I decided to do something different, the nas will have three sections:
Core
I have allowed for:
- 2 x Hdd’s - These will most probably going to be setup in a raid 1 config with the now stable ZFS file system.
- Raspberry Pi controller - Probably running ubuntu server or arch not sure yet.
- Sata to USB convertors - Used to convert internal HDD’s to USB
Inner
I thought, would it not be cool if by looking at some LED patterns you could figure out if someone is currently uploading or downloading data from/to the nas?
So over the core I will have the Inner section which will contain a bunch of addressable led’s.
Shell
Finally I will have a shell. Covering the LEd’s.
Closure
I am planning on starting 3D printing parts next week so should have something in the next few weeks. I am sure to do another post with the final product.


GROSSE POINTE BLANK A film review by Gerard Foley Copyright 1997 Gerard Foley
John Cusack, Minnie Driver, Alan Arkin and Dan Aykroyd Directed by George Armitage Story by Tom Jankiewicz Screenplay by Tom Jankiewicz, D.V.DiVincentis, Steve Pink and John Cusack
On a scale of 0-10 - 5
My memory must be getting worse, because I thought I recalled someone's review of "Grosse Pointe Blank" made the movie sound interesting. It's not. Seeing that the screeplay is credited to four people, it is easy to understand why a Hollywood committee would write a Hollywood movie.
A large number of cliches have been whipped out to fill the hour and a half or so going on to all day that this movie takes. The trailers tip you off to the premise: a professional killer goes to his high school reunion. (It seems a good year for high school reunions - see Lisa Kudrow of "Friends" is in another one opening soon).
I find myself depressed by the assumption that the U.S.Government is in the assassination business, and further depressed by the concept that automatic weapons hardly ever kill anyone, no matter how close the range or how many times they are fired. I was not struck by the attraction bwtween John Cusack and Minnie Driver, nor much impressed by the idea that Minnie spent 10 years mourning John's inexplicable and unexplained disappearance. It would have been ok with me if he had stayed away. The dialog, if that is the correct term for the lines spoken by the actors, is straight from the Hollywood book.
Gerry -<EMAIL_ADDRESS>The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Rules
Football Rules
Football (Soccer) is one of the oldest sports in the world and with that; it’s also one
of the most recognised. The pinnacle of the international game comes in the form the Football World Cup.
There are also tournament such as the Euro Championships, Copa America and the African Cup of Nations.
Domestically the strongest leagues come from England (English Premier League), Spain (La Liga), Italy
(Serie A) and Germany (Bundesliga). In parts of the world the sport is also known as Soccer.
Object of the Game
The aim of football is to score more goals then your opponent in a 90 minute playing time frame.
The match is split up into two halves of 45 minutes. After the first 45 minutes players will take a 15 minute
rest period called half time. The second 45 minutes will resume and any time deemed fit to be added on by the
referee (injury time) will be accordingly.
Players & Equipment
Each team consists of 11 players. These are made up of one goalkeeper and ten outfield players.
The pitch dimensions vary from each ground but are roughly 120 yards long and 75 yards wide. On each
pitch you will have a 6 yard box next to the goal mouth, an 18 yard box surrounding the 6 yard box and
a centre circle. Each half of the pitch must be a mirror image of the other in terms of dimensions.
Essentially the equipment that is needed for a soccer match is pitch and a football. Additionally players
can be found wearing studded football boots, shin pads and matching strips. The goalkeepers will
additionally wear padded gloves as they are the only players allowed to handle the ball. Each team
will have a designated captain.
Scoring
To score the ball must go into your opponent’s goal. The whole ball needs to be over the
line for it to be a legitimate goal. A goal can be scored with any part of the body apart from the
hand or arm up to the shoulder. The goal itself consists of a frame measuring 8 feet high and 8 yards
wide.
Winning the Game
To win you have to score more goals than that of your opponents. If the scores are
level after 90 minutes then the game will end as a draw apart from in cup games where the
game can go to extra time and even a penalty shootout to decide the winner. Players must
use their feet to kick the ball and are prohibited to use their hands apart from goalkeepers
who can use any part of their body within the 18 yard box (of which more can be found out in
the next section).
Rules of Football
-A match consists of two 45 minutes halves with a 15 minute rest period in between.
-Each team can have a minimum off 11 players (including 1 goalkeeper who is the only player allowed
to handle the ball within the 18 yard box) and a minimum of 7 players are needed to constitute a
match.
-The field must be made of either artificial or natural grass. The size of pitches is allowed to
vary but must be within 100-130 yards long and 50-100 yards wide. The pitch must also be marked
with a rectangular shape around the outside showing out of bounds, two six yard boxes, two 18 yard
boxes and a centre circle. A spot for a penalty placed 12 yards out of both goals and centre circle
must also be visible.
-The ball must have a circumference of 58-61cm and be of a circular shape.
-Each team can name up to 7 substitute players. Substitutions can be made at any time of the match
with each team being able to make a maximum of 3 substitutions per side. In the event of all three
substitutes being made and a player having to leave the field for injury the team will be forced to
play without a replacement for that player.
-Each game must include one referee and two assistant referee’s (linesmen). It’s the job of the referee
to act as time keeper and make any decisions which may need to be made such as fouls, free kicks, throw ins,
penalties and added on time at the end of each half. The referee may consult the assistant referees at any
time in the match regarding a decision. It’s the assistant referee’s job to spot offside’s in the match (see
below), throw ins for either team and also assist the referee in all decision making processes where appropriate.
-If the game needs to head to extra time as a result of both teams being level in a match then 30 minutes
will be added in the form of two 15 minute halves after the allotted 90 minutes.
-If teams are still level after extra time then a penalty shootout must take place.
-The whole ball must cross the goal line for it to constitute as a goal.
-For fouls committed a player could receive either a yellow or red card depending on the severity of
the foul; this comes down to the referee’s discretion. The yellow is a warning and a red card is a
dismissal of that player. Two yellow cards will equal one red. Once a player is sent off then they
cannot be replaced.
-If a ball goes out of play off an opponent in either of the side lines then it is given as a
throw in. If it goes out of play off an attacking player on the base line then it is a goal kick.
If it comes off a defending player it is a corner kick.
The Offside Rule in Football
Offside can be called when an attacking player is in front of the last defender when the
pass is played through to them. The offside area is designed to discourage players from simply
hanging around the opponent’s goal waiting for a pass. To be onside they must be placed behind
the last defender when the ball is played to them. If the player is in front of that last defender
then he is deemed to be offside and free kick to the defending team will be called.
A player cannot be caught offside in their own half. The goalkeeper does not count as a defender.
If the ball is played backwards and the player is in front of the last defender then he is deemed to
be not offside.


Getting started
Quickly set up a Dip development environment and write your first app!
Installing Dip
You can try Dip online in your browser without installing it on your computer.
Try Dip without installingInstall Dip
The primary way that folks install Dip is through downloading a zip file containing the Dip interpreter, Dip Editor and Dip's standard library.
If you’re running macOS, Linux, or another Unix-like OS, download the Mac version of Dip. If you are on Windows, download Dip's Windows version
If you're a Mac or Unix fan - here's Dip's Version R for Mac! It also includes Dip's standard library
Download Dip for MacIf you're a windows fan - here's Dip's Version R for Windows! It also includes Dip's standard library
Download Dip for WindowsHow Do I Get Started?
Move the Dip Version R (Mac) zip file to your desktop - and extract the contents of the zip file. Then navigate to the Dip Version R folder, and start creating Dip programs!
On Windows, all you need to do is unzip the file and navigate to the Dip Version R folder. Run the executables to start coding with dip
How Do I Use Dip?
There are two ways to use Dip at the moment. One of them is to use Dip's Editor, which is beginner friendly and is a built-in code editor for you to start using Dip. However, it is still experimental and might have some bugs.
The second way you can use dip is through the executable file called 'Dip'. The Dip interface pops up in the terminal of your choice when you click it - and you can start using Dip! This has more, robust features when compared to the Dip editor, but might not be very easy to use for beginners.
Whichever way you choose to use Dip, you can always look at the documentation to help you, which you can find on the website, and also in the Dip folder you download.
Learn more about installation
Dip's Development Environment
When you install Dip you’ll also get the latest version of the Dip Editor, also known as Dip's Development Environment. Please note that the Editor is experimental, and might hav some bugs in its control flow. However, it still does a lot of things:
- Create and edit Dip programs with Dip's Editor.
- Use the shell to run commands using a user-friendly interface
- Test your project and run it through Dip's Editor (Nothing else required)
- Build documentation for your project through Dip's editor
In essence - Dip's Development Environment is a one stop shop providing everything you need to write meaningful software using Dip
If you're a Mac or Unix fan - here's Dip's editor for Mac! It also includes examples
Download for MacIf you're a windows fan - here's Dip's editor for Windows! It also includes examples!
Download for WindowsAdding dependencies
Let’s add a dependency to our application. Navigate to the Dip Version R folder, and create a "hello.dip" file. It is better to create all of your dip programs here, as you can easily access Dip's standard library from this directory.
In this project, we’ll use a package called bleu_says
Note that the bleu_says package comes prepackaged with dip in its standard library.
In our hello.dip
file we’ll add this information (that we will use for installing any packages):
use("stdlib/bleu_says")
This line means that we can now use the bleu
function that the blue_says
package creates for us.
Now we can use the blue_says
package to create our first dip application
Look at the learning path!
Before you get started you're looking to learn more, head to the learning path, and see how you can learn to code in Dip the easy way.
Take me to the learning path!A small Dip application
Now let’s write a small application with our new dependency. In our main.dip
, add the following code:
use("stdlib/bleu_says.dip") # from the previous step
function main()
variable message = "Hello, world!"
bleu(message)
end
main()
Once we save that, we can run our application by typing:
run("main.dip")
Assuming everything went well, you should see your application print this to the screen:
-----------------
| Hello, world! |
-----------------
\
\
\
▓▓▓▓▓▓▓▓▓▓
▓▓▓▓▓▓▓▓▓▓▓▓▓▓
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
▓▓▓▓░░░░░░▓▓░░░░░░▓▓▓▓
░░░░▓▓░░░░░░░░░░░░░░░░░░▓▓░░░░
░░░░▓▓░░ ██░░░░░░ ██░░▓▓░░░░
░░▓▓░░████░░░░░░████░░▓▓░░
▓▓░░▒▒▒▒░░░░░░▒▒▒▒░░▓▓
▓▓░░░░░░░░░░░░░░▓▓
▓▓▓▓░░░░░░▓▓▓▓
▓▓▓▓▓▓ ░░
▓▓▓▓▓▓▓▓▓▓ ▓▓
▓▓▓▓▓▓▓▓▓▓ ▓▓▓▓
▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓▓
▓▓▓▓░░▓▓░░▓▓▓▓
Learn more!
If you're looking to learn more, head to our Docs page, where you can find lots of information that will help you to continue learning to code with Dip.
learn more!


Ouraga Ohywely Ezekiel2020-April-25Database: autoshop Notes:1.Columns and table descriptions are estimates based on examination of the tables, not descriptions from the data sources. 2.Columns descriptions of PK, FK, and references are descriptions of assumed relationships between tables, not database constraints.Tables:employees Company employeesdepartment
Ouraga Ohywely Ezekiel2020-April-25Database: autoshop Notes:1.Columns and table descriptions are estimates based on examination of the tables, not descriptions from the data sources. 2.Columns descriptions of PK, FK, and references are descriptions of assumed relationships between tables, not database constraints.Tables:employees Company employeesdepartment
Ouraga Ohywely Ezekiel2020-April-25Database: autoshop Notes:1.Columns and table descriptions are estimates based on examination of the tables, not descriptions from the data sources. 2.Columns descriptions of PK, FK, and references are descriptions of assumed relationships between tables, not database constraints.Tables:employees Company employeesdepartment


Vienna, Austria
Hofjagd und Rüstkammer
A magnificent collection of imperial armor and weaponry.
Upon entering this classic building, you’re greeted by large halls and rooms filled with magnificent, courtly coats of armor and weaponry from throughout the Middle Ages.
Three major exhibits span the museum and showcase a vast array of armor worn by political and military leaders from across Europe. They include armor worn by the imperial family, a collection of arms dawned by military leaders from Western and Central Europe from the 15th and 16th centuries, and artifacts from the House of Habsburg.
From fancy armor worn by nobles just to show off their wealth to common battle equipment, visitors will find a great selection inside. There is also horse and children’s armor, as well as swords, spears, and early models of modern firearms. For anybody interested in armor or the medieval period in general, a visit is well worth the trip.
Know Before You Go
The museum is closed every Wednesday. Children and teens can enter for free.
Visit Vienna with Atlas Obscura Trips
Vienna: Salon Sonatas and Klimt Up Close
Immerse yourself in Vienna’s rich artistic culture of past and present—from the historic coffee houses that have hosted creative salons for centuries to world-renowned musical venues.
Learn More »
Community Discussion
-
No Comments Yet
Start the discussion.
forum Visit our forums.


Welcome, do you need a password? We can help you! 🔐🙈
PASSWORD LENGTH
LOWERCASE
UPPERCASE
NUMBERS
SYMBOLS
Built with ❤ by
Christopher Corrêa


I got my bachelor's in Water and Hydropower Engineering in China. Back then, courses related to water resources were far more appealing to me than other courses. After graduation, I did hydrological modeling in a company. That was my first time working with large hydrological models and that experience directly led to my pursuing a higher degree in this field. I'm currently a Ph.D. student in the Civil and Environmental Engineering Department's Water and the Environment program. My research specializes in flood modeling and hydro-informatics. Outside of academics, I swim, bike, and play the guitar.


| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| header first column lorem ipsum dolor sit amet, consectetur adipiscing elit | header second column | header third column |
|---|---|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| header first column lorem ipsum dolor sit amet, consectetur adipiscing elit | header second column | header third column |
|---|---|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| footer first column | footer second column | footer third column |
| header first column lorem ipsum dolor sit amet, consectetur adipiscing elit | header second column | header third column |
|---|---|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| footer first column | footer second column | footer third column |
|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| header first column lorem ipsum dolor sit amet, consectetur adipiscing elit | header second column | header third column |
|---|---|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| header first column lorem ipsum dolor sit amet, consectetur adipiscing elit | header second column | header third column |
|---|---|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| footer first column | footer second column | footer third column |
| header first column lorem ipsum dolor sit amet, consectetur adipiscing elit | header second column | header third column |
|---|---|---|
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| first row first column | first row second column lorem ipsum dolor sit amet, consectetur adipiscing elit | first row third column |
| second row first column | second row third column | |
| third row first column | third row second column | third row third column |
| footer first column | footer second column | footer third column |
|---|


We really need JavaScript to be enabled, you won't get anything meaningful otherwise.
Please enable it and try again or go directly to our API docs.


Atlantis CMS
Welcome,
John Doe
Dashboard
Interventions
Request Assistance
View Requests
Form Elements
Assistance request
Name
*
Phone Number
*
Incident Location
*
Type of assistance
*
Emergency Ambulance
Rescue and Evacuation
Fire-Fighting
Gas Leak Control
Status
*
In Progress
Done
Reset
Submit


Hey, it's Cordova!
Don't know how to get started? Check out our
Getting Started Guide
Check your console log for any white-list rejection errors.
Add your allowed
hosts
in Cordova.plist/ExternalHosts (wildcards OK, don't enter the URL scheme)
Click to initListen!
Click to startListen!
Click to stopListen!


Accessory Class
Objects of this class represent the external accessories.
Item Index
Methods
Methods
equals
-
otherAccessory
Compares this Accessory object to another.
Parameters:
-
otherAccessory
Accessory
Returns:
true
if the two objects refer to the same
accessory.
openSession
-
params
Opens a session to the accessory.
Parameters:
-
params
ObjectAn object with the following properties:
-
protocol
StringThe name of the protocol to be used for the connection.
-
Returns:
An object representing the session, or null if the session could not be opened.
Properties
connectionID
Number
read-only
The accessory’s unique connection ID to the iOS-based device. The connection ID uniquely identifies this accessory to the device. If multiple accessories of the same type are connected to the device, you can use this information to distinguish between them.
The connection ID for an accessory persists only for the duration of the current connection. If the accessory is disconnected and reconnected, a new connection ID is assigned.
firmwareRevision
String
read-only
Firmware revision of the accessory.
hardwareRevision
String
read-only
Hardware revision of the accessory.
isConnected
Boolean
read-only
Specifies whether or not the accessory is currently connected.
manufacturer
String
read-only
Manufacturer of the accessory.
modelNumber
String
read-only
Model number of the accessory.
name
String
read-only
Name of the accessory.
protocolStrings
Array of Strings
read-only
The name of the protocols supported by the accessory.
serialNumber
String
read-only
Serial number of the accessory.


繁體中文
Toggle navigation
Contact Us
FAQ
Contact Us
Home
(current)
Benefits
Our Stories
Our Events
Wynn Macau
Wynn Palace
Our Commitment
Our Properties
Wynn Macau
Wynn Palace
Featured Careers
ADMINISTRATION & GENERAL
FINANCE
FOOD & BEVERAGE
GAMING
HOTEL & RETAIL
HUMAN RESOURCES
INFORMATION TECHNOLOGY
MARKETING
Apply Now
PEOPLE MAKE PEOPPLE HAPPY
PEOPLE MAKE PEOPPLE HAPPY
PEOPLE MAKE PEOPPLE HAPPY
Previous
Next


Used to compare the price and total size of pizzas at various sizes.
Enter the quantity, check the box if it is by the slice, enter the total diameter (for the whole pie if a single slice), and then the total price. It will then compute the area, the equivalent standard 16” pizza slices, and standard 16” pies, as well as the price per each of those.
This doesn't take into account the depth of the pizzas. I could have added a 3rd dimension, but the value doesn't scale the same way. Adding a square foot of area adds more of everything, adding another half inch of depth only adds bread. You may or may not like the deeper dish, but everyone should agree a pizza twice as deep isn't worth exactly twice another pizza. It's a similar story for toppings or for quality of pizza from different places.
For reference, a normal pizza is 16". The fast food pizza places call that an extra large, they call 14" a large, and 12" a medium.


| Modifier and Type | Interface and Description |
|---|---|
interface |
INodeRegexQuestion |
interface |
IReachabilityQuestion |
| Modifier and Type | Class and Description |
|---|---|
class |
AbstractRoleConsistencyQuestion |
class |
IPacketTraceQuestion
Parent class for questions that reason about the fate of flow.
|
class |
Question |
| Modifier and Type | Class and Description |
|---|---|
class |
HeaderLocationQuestion |
class |
HeaderQuestion |
class |
RoleQuestion |
| Modifier and Type | Class and Description |
|---|---|
static class |
AclReachabilityQuestionPlugin.AclReachabilityQuestion
Identifies unreachable lines in ACLs.
|
static class |
BgpAdvertisementsQuestionPlugin.BgpAdvertisementsQuestion
Lists BGP adverstisements in the network.
|
static class |
BgpAsnUseQuestionPlugin.BgpAsnUseQuestion
Lists ASNs that are being used by multiple nodes
|
static class |
BgpLoopbacksQuestionPlugin.BgpLoopbacksQuestion
Lists which loopback interfaces are being announced into BGP.
|
static class |
BgpSessionStatusQuestionPlugin.BgpSessionStatusQuestion
Deprecated.
Returns the status of BGP sessions.
|
static class |
ClusterNodesQuestionPlugin.ClusterNodesQuestion
Uses a form of clustering to partition nodes into equivalence classes.
|
static class |
CompareSameNameQuestionPlugin.CompareSameNameQuestion
Compares named structures with identical names across multiple nodes.
|
static class |
CompositeQuestionPlugin.CompositeQuestion |
static class |
ErrorQuestionPlugin.ErrorQuestion
Since this is not really a question; we do not document it as such.
|
static class |
FileMapQuestionPlugin.FileMapQuestion
Outputs mapping of hostnames to filenames
|
static class |
FileTreeQuestionPlugin.FileTreeQuestion
Outputs file tree of test-rig directory
|
static class |
InferPoliciesQuestionPlugin.InferPoliciesQuestion
Infer likely role-based consistency policies for the network.
|
static class |
InferRolesQuestionPlugin.InferRolesQuestion
Infer a regex that identifies a role from a node name.
|
static class |
InitInfoQuestionPlugin.InitInfoQuestion
Outputs results of test-rig initialization.
|
static class |
IsisLoopbacksQuestionPlugin.IsisLoopbacksQuestion
Lists which loopbacks interfaces are being announced into ISIS.
|
static class |
NamedStructureRoleConsistencyQuestionPlugin.NamedStructureRoleConsistencyQuestion
Checks a role-based consistency policy requiring that all nodes of the same role have the same
value for some particular configuration property (e.g., DnsServers).
|
static class |
NeighborsQuestionPlugin.NeighborsQuestion
Lists neighbor relationships in the testrig.
|
static class |
NodesQuestionPlugin.NodesQuestion
Outputs the configuration of nodes in the network.
|
static class |
OspfSessionCheckQuestionPlugin.OspfSessionCheckQuestion
Checks if OSPF sessions are correctly configured.
|
static class |
OspfStatusQuestionPlugin.OspfStatusQuestion
Lists the OSPF status of interfaces.
|
static class |
OutliersQuestionPlugin.OutliersQuestion
Detects and ranks outliers based on a comparison of nodes' configurations.
|
static class |
ParseTreesQuestionPlugin.ParseTreesQuestion
Outputs parse trees from test-rig initialization.
|
static class |
PerRoleOutliersQuestionPlugin.PerRoleOutliersQuestion
Runs outlier detection on a per-role basis and then does a global ranking of the results.
|
static class |
PerRoleQuestionPlugin.PerRoleQuestion
Answers a given question separately on each "role" within the specified dimension.
|
static class |
ReachabilityQuestionPlugin.ReachabilityQuestion
Details coming.
|
static class |
RoleConsistencyQuestionPlugin.RoleConsistencyQuestion
Checks a role-based consistency policy requiring that all nodes of the same role have the same
value for some particular configuration property (e.g., DnsServers).
|
static class |
RolesQuestionPlugin.RolesQuestion
List the roles of each node.
|
static class |
RoutesQuestionPlugin.RoutesQuestion
Outputs all routes (RIB) at nodes in the network.
|
static class |
SelfAdjacenciesQuestionPlugin.SelfAdjacenciesQuestion
Outputs cases where two interfaces on the same node are in the same subnet.
|
static class |
SleepQuestionPlugin.SleepQuestion
Since this is not really a question; we do not document it as such.
|
static class |
SmtBlackholeQuestionPlugin.BlackholeQuestion |
static class |
SmtBoundedLengthQuestionPlugin.BoundedLengthQuestion |
static class |
SmtDeterministicQuestionPlugin.DeterministicQuestion |
static class |
SmtEqualLengthQuestionPlugin.EqualLengthQuestion |
static class |
SmtForwardingQuestionPlugin.ForwardingQuestion |
static class |
SmtLoadBalanceQuestionPlugin.LoadBalanceQuestion |
static class |
SmtLocalConsistencyQuestionPlugin.LocalConsistencyQuestion |
static class |
SmtMultipathConsistencyQuestionPlugin.MultipathConsistencyQuestion |
static class |
SmtReachabilityQuestionPlugin.ReachabilityQuestion |
static class |
SmtRoleQuestionPlugin.OldRoleQuestion |
static class |
SmtRoutingLoopQuestionPlugin.RoutingLoopQuestion |
static class |
TracerouteQuestionPlugin.TracerouteQuestion
Perform a traceroute.
|
static class |
UndefinedReferencesQuestionPlugin.UndefinedReferencesQuestion
Outputs cases where undefined structures (e.g., ACL, routemaps) are referenced.
|
static class |
UniqueBgpPrefixOriginationQuestionPlugin.UniqueBgpPrefixOriginationQuestion
Lists cases where the same prefix is originated by multiple BGP speakers.
|
static class |
UniqueIpAssignmentsQuestionPlugin.UniqueIpAssignmentsQuestion
Lists IP addresses that are assigned to multiple interfaces.
|
static class |
UnusedStructuresQuestionPlugin.UnusedStructuresQuestion
Outputs cases where structures (e.g., ACL, routemaps) are defined but not used.
|
| Modifier and Type | Class and Description |
|---|---|
class |
AaaAuthenticationLoginQuestion |
| Modifier and Type | Class and Description |
|---|---|
class |
AclReachability2Question
A question that returns unreachable lines of ACLs in a tabular format.
|
| Modifier and Type | Class and Description |
|---|---|
class |
BgpSessionStatusQuestion
Based on node configurations, determines the status of IBGP and EBGP sessions.
|
| Modifier and Type | Class and Description |
|---|---|
class |
DefinedStructuresQuestion
Fetches all defined structures in config files.
|
| Modifier and Type | Class and Description |
|---|---|
class |
FilterTableQuestion
Question to construct the default policies for a new testrig |
| Modifier and Type | Class and Description |
|---|---|
class |
InterfacePropertiesQuestion
A question that returns properties of interfaces in a tabular format.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IpOwnersQuestion
Queries the computed IP owners across all nodes/VRFs/Interfaces in the network.
|
| Modifier and Type | Class and Description |
|---|---|
class |
IpsecVpnStatusQuestion
Checks if IPSec VPNs are correctly configured.
|
| Modifier and Type | Class and Description |
|---|---|
static class |
JsonPathQuestionPlugin.JsonPathQuestion
|
static class |
NodesPathQuestionPlugin.NodesPathQuestion
|
| Modifier and Type | Class and Description |
|---|---|
class |
JsonPathToTableQuestion |
| Modifier and Type | Class and Description |
|---|---|
class |
MultipathConsistencyQuestion
A zero-input question to check for multipath inconsistencies.
|
| Modifier and Type | Class and Description |
|---|---|
class |
NodePropertiesQuestion
A question that returns properties of nodes in a tabular format.
|
| Modifier and Type | Class and Description |
|---|---|
class |
PrefixTracerQuestion
Question that explores how a particular network prefix is propagated through the network.
|
| Modifier and Type | Class and Description |
|---|---|
class |
ReachFilterQuestion
A question to check for multipath inconsistencies.
|
| Modifier and Type | Class and Description |
|---|---|
class |
RoutesQuestion
Returns computed routes after dataplane computation.
|
| Modifier and Type | Class and Description |
|---|---|
class |
SpecifiersQuestion
|
class |
SpecifiersReachabilityQuestion
|
| Modifier and Type | Class and Description |
|---|---|
class |
TraceFiltersQuestion
Computes the fate of the flow at a filter.
|
| Modifier and Type | Class and Description |
|---|---|
class |
TracerouteQuestion
A question to perform a traceroute.
|
Copyright © 2014–2018. All rights reserved.


Organize clients
Easy, fast tracking of every client account right at your fingertips.
Register for classes
Find and sign up for any class, from anywhere 24/7.
Process payments
Pay for class,process payments from one simple place.
Let
Anywhere Fitness
get you where you want to go!
Clients
Sign up and start searching available classes today!
Instructors
Register today, set up your avaiable classes and start seeing the benefits!


We are watching GoT (and Rick and Morty) now
No wagers during the episode.
We’ll be back online shortly!


ANACONDA A film review by Cameron Shelley Copyright 1997 Cameron Shelley
Anaconda (Columbia)
Review by: Cameron Shelley -- April 30, 1997. Cast: Jennifer Lopez (Terri Flores), Ice Cube (Danny Rich), Jon Voight (Paul Sarone), Eric Stoltz (Steven Cale), Jonathan Hyde (Warren Westridge), Owen Wilson (Garry Dixon), Kari Salin (Denise Kalber). Screenplay: Hans Bauer, Jim Cash, Jack Epps Jr. Director: Luis Llosa Producers: Verna Harrah, Carole Little, Beau Marks, Leonard Rabinowitz, Susan Ruskin
Anaconda is a challenging film to review, since little of any substance appears on the screen. It is an intensely silly picture that could probably be adequately discussed during screening, without missing anything vital. I say this with some assurance, since several movie patrons appeared to be doing just that while watching. In fact, Anaconda, I think, invites exactly that reaction.
According to Variety (I think it was), the end of April is basically dead-time for the movie box-office - what with people feeling impoverished over their tax returns and such. The cruelest month is also the most financially depressing for the studios, and has, to all appearances, leveled off films like Volcano and everything else wedged into the gap before the advent of big summer blockbusters like Jurassic Park II. Anaconda, however, squeezes comfortably into the early spring time slot. This film is not for the ambitious movie-goer out to treat his (or her) eyes to a piece of cinematic brilliance. No, this film is for the recently defrosted slacker with five bucks burning a hole in his (or her) pocket!
Considered formally, the film only has two things to offer:
1.The black guy (Danny) doesn't get killed first! In fact, he survives the whole picture relatively intact. 2.The chick (Terri) doesn't twist her ankle at all!
Other than that, things are pretty much as you'd expect. A pretty stereotypical documentary crew goes out on the Amazon with a snooty, British presenter to film some mysterious natives. In a setup arranged by their captain, they pick up a Paraguayan ex-priest (Sarone) who's really in it for the big snakes. He incapacitates the film crew's leader (Steven) and leads the gang down the wrong tributary - with horrendous results! That's pretty much it. Why the setup? Who knows!
The centerpiece of this movie is not, in fact, the 40 foot snake, but rather Jon Voight and his B movie acting.  No matter how bad, no scene or bit of dialogue receives anything less than all the over-acting it deserves. Opposite him, Jennifer Lopez does a creditable job of maintaining an air of solemnity (without panic) and keeping a straight face. To Llosa's credit, I suppose, the movie focuses on the interaction between these two characters, leaving the snake on the sidelines for most of the time. (Except for one or two sequences, the anaconda itself seems like little more than an "innertube with an attitude." <-- Note obligatory reviewer's wisecrack!) To speak truthfully, their interplay is reminiscent of that between Brody and Quint in Jaws, although, of course, the outcome is never in doubt. Still, these two performances do carry this admittedly lightweight film to its wisely not-long-in-coming conclusion.
Insofar as there is one, I suppose the moral is that if you have five bucks and a taste for the ridiculous, then Anaconda may well be for you. If you are also one of those people who is repulsed by snakes, so much the better - you might actually get a kick out of the reptilian sideshow. But remember, the real reptile is that Sarone guy! Frankly, I don't think I'd trust him at all, even out for a little gopher hunt. He probably knows where there are some "real" gophers.... -----
<EMAIL_ADDRESS>- Phone:<PHONE_NUMBER> x2555
Me:
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Standards and guidance
The Digital Service Standard
Learn about the 18 point standard that government services must meet
Service Manual
Guidance on service assessments, agile delivery, technology, user research, accessibility and more
Products, patterns and advice
Service design
Design principles, patterns, styles and tools for government services
Technology and specialists
Buy software, hardware and digital specialists on our Digital Marketplace
Publishing
Publish GOV.UK guides, campaigns and blogs
Training
Get training in service mangement, user research, design and content.
Government data
Improve your service with government registers, APIs and performance data
Products
Build your service using GOV.UK Products:


--- title: Our Projects ---
The all-volunteer ASF develops, stewards, and incubates more than 350 Open Source projects and initiatives that cover a wide range of technologies. From Accumulo to Zookeeper, if you are looking for a rewarding experience in Open Source and industry leading software, chances are you are going to find it here.
The Apache HTTP Server Project is an effort to develop and maintain an open-source HTTP server for modern operating systems including UNIX and Windows. The goal of this project is to provide a secure, efficient and extensible server that provides HTTP services in sync with the current HTTP standards.
Apache CloudStack is open source software designed to deploy and manage large networks of virtual machines, as a highly available, highly scalable Infrastructure as a Service (IaaS) cloud computing platform.
The universal protocol adapter for Industrial IoT. PLC4X is a set of libraries for communicating with industrial programmable logic controllers (PLCs) using a variety of protocols but with a shared API.
Apache Kafka is an open-source distributed event streaming platform used by thousands of companies for high-performance data pipelines, streaming analytics, data integration, and mission-critical applications.
Apache Spark is a unified analytics engine for big data processing, with built-in modules for streaming, SQL, machine learning and graph processing.
Solr is highly reliable, scalable and fault tolerant, providing distributed indexing, replication and load-balanced querying, automated failover and recovery, centralized configuration and more.
Apache Maven is a software project management and comprehension tool. Based on the concept of a project object model (POM), Maven can manage a project's build, reporting and documentation from a central piece of information.
Apache cTAKES™ is a natural language processing system for extraction of information from electronic medical record clinical free-text.
Apache OFBiz is an open source enterprise resource planning system. It provides a suite of enterprise applications that integrate and automate many of the business processes of an enterprise.
Apache CouchDB is an open-source document-oriented NoSQL database, implemented in Erlang. CouchDB uses multiple formats and protocols to store, transfer, and process its data, it uses JSON to store data, JavaScript as its query language using MapReduce, and HTTP for an API.
Camel is an Open Source integration framework that empowers you to quickly and easily integrate various systems consuming or producing data. It is a versatile open-source integration framework based on known Enterprise Integration Patterns.
The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage.
The Apache Software foundation has over 300 top-level projects! Our Projects Directory is designed to help you find specific projects that meet your interests and to gain a broader understanding of the wide variety of work currently underway in the Apache community.
Explore Apache Projects


Welcome to the GitHub repository for Network Analysis Made Simple! This is a tutorial designed to teach you the basic and practical aspects of graph theory. It has been presented at multiple conferences (PyCon, SciPy, PyData, and ODSC) in a variety of formats (ranging from 1.5 hr to 4 hour long workshops). The material is designed for a live tutorial presentation, with the code available for you to reference afterwards.
(Consider this option only if your WiFi is stable)
If you don't want the hassle of getting setup, you can use the Binder service to participate in the live tutorial. Just click on the button below:
For tutorial participants who may run into technical issues, full HTML versions of the notebooks are available to follow along during the tutorial.
For those of you who would like to get setup beforehand and keep a local copy of the repository on your machine, follow along here.
If you have the Anaconda distribution of Python 3 installed on a Unix-like machine (Linux, macOS, etc.), then run make conda
, which wraps the commands below.
$ conda env create -f environment.yml
$ source activate nams
$ python checkenv.py
If you do not have the Anaconda distribution, I would highly recommend getting it for Windows, Mac or Linux. It provides an isolated Python computing environment that will not interfere with your system Python installation, and comes with a very awesome package manager (conda
) that makes installation of new packages a single conda install pkgname
away.
If you're not using Python 3, then check out @jakevdp's talk at SciPy2015 to find out why!
pip install
For those who do not have the capability of installing the Anaconda Python 3 distribution on their computers, please follow the instructions below.
Run make venv
, which wraps up the commands below. Special thanks to @matt-land for putting this script together.
$ pip install virtualenv
$ virtualenv network
$ source network/bin/activate
$ pip install matplotlib networkx pandas hiveplot numpy jupyter
Check your environment:
$ python checkenv.py
For this tutorial, you will need the following packages:
matplotlib
networkx
pandas
hiveplot
- conda install -c conda-forge hiveplot
or pip install hiveplot
.nxviz
- conda install -c conda-forge nxviz
. (This implements Circos plots; HivePlots are being migrated over.)numpy
scipy
Then, clone the repository locally.
$ cd /path/to/your/directory
$ git clone https://github.com/ericmjl/Network-Analysis-Made-Simple.git
$ cd Network-Analysis-Made-Simple
$ jupyter notebook
Your browser will open to an index page where you can click on a notebook to run it. Test that everything runs fine by executing all of the cells in the Instructor versions of the notebooks.
If you've attended this workshop, please leave feedback! It's important to help me improve the tutorial for future iterations.
If you get a "Python is not installed as a framework" error with matplotlib, please check out this issue for instructions to resolve it.
If you're facing difficulties, please report it as an issue on this repository.


I lost something during my trip, how can I get it back?
If you lost something during your trip on the Metropolitano de Lisboa you can call the Call Centre on the number (+351) 21 350 0115 or go to the Campo Grande station Espaço Cliente (open every week day from 8:30am to 7:30pm)


One Direction, often shortened to 1D, are an English-Irish pop boy band
formed in London, England in 2010.
The group are composed of Niall Horan, Liam Payne, Harry Styles and
Louis Tomlinson.
Former member Zayn Malik departed from the group in March 2015. The
group signed with Simon Cowell's record label Syco Records after forming
and finishing third in the seventh series
of the British televised singing competition
The X Factor in
2010.
One Direction achieved third place in the competition and immediately
after the final, their song "Forever Young", which would have been
released
if they had won The X Factor, was leaked onto the internet.
Shortly afterwards it was confirmed that One Direction had been
signed by Cowell to a reported £2 million Syco Records record contract.
Propelled to global success by social media, One Direction's five
albums;
Up All Night
(2011),
Take Me Home
(2012),
Midnight Memories
(2013),
Four (2014), and
Made in the A.M.
(2015), topped charts in most major markets,
and generated hit singles including "What Makes You Beautiful" (their
first number one on the
U.K. Singles Chart,
and the highest debut for a British act
on the U.S. Billboard Hot
100 since 1998), "Live While We're Young",
"Best Song Ever",
"Story of My Life" and "Drag Me Down".
After the release of
Four, One Direction
became the first band in the U.S. Billboard 200 history to have their
first four albums debut at number one. Their third album,
Midnight Memories,
was the best-selling album worldwide of 2013.
Considered teen idols, One Direction were often subject to fan
hysteria.
They have embarked on four world tours, two of which were all-stadium.
The band's Where We Are Tour, in support of Midnight Memories,
was the highest-grossing concert tour in 2014, the highest-grossing
tour
by a vocal group in history and the 15th highest-grossing concert tour
of all time, grossing $290.2 million (unadjusted for inflation).
The band went on hiatus in January 2016, allowing all members to
pursue
other projects.
Louis William Tomlinson né Austin; 24 December 1991) is
an English singer
and songwriter. He rose to fame as a member of
the boy band One Direction.
He began his career as an actor, appearing as an extra in ITV
drama film
"If I Had You" and the BBC drama Waterloo Road. In 2010, he auditioned
on the British music competition series The X Factor. After being
eliminated as a solo performer, he was put into a group with four other
contestants, forming One Direction.
Following the group's hiatus in 2016, "Just Hold On" was released
as Tomlinson's debut solo single in December 2016. It peaked at number
two
on the U.K. Singles Chart and was certified platinum in the U.K..
In 2017, Tomlinson released "Back to You" with American singer
Bebe Rexha,
certified platinum in the USA and U.K. and "Miss You".
In 2018 Tomlinson appeared on the fifteenth series of The X Factor as a
judge
and a mentor of the "Boys" category. He became the first former
contestant
of the show to become the winning mentor due to his
mentee Dalton Harris
winning the show.
In 2019, Tomlinson released the singles "Two of Us", "Kill My Mind", "We
Made It",
"Don't Let It Break Your Heart" and "Walls",
preceding his debut
album Walls, released in January 2020.
In 2013, Tomlinson was signed as a footballer by Doncaster Rovers of the
Football League Championship on a non-contract basis. The same year he
also formed his own record label, Triple Strings, as an imprint of One
Direction's label Syco.
He appeared on Debrett's 2017 list of the most influential people in the
U.K..
James Horan, born 13 September 1993) is an Irish singer
and songwriter.
He rose to prominence as a member of the boy band
One Direction,
formed in 2010 on the British singing competition The X Factor.
Following the band's hiatus in 2016, Horan signed a recording deal
as a solo artist with Capitol Records.
Horan's debut solo album, Flicker (2017), debuted at number one in
Ireland
and the US, and reached the top three in Australia and the U.K..
Its singles "This Town" and "Slow Hands" reached the top 20 in several
countries. Horan's second studio album, Heartbreak Weather, was released
in March 2020 and debuted at number four in the US and number one in the
UK, Ireland,
and Mexico.
"Five albums in five years, is hectic but thoroughly enjoyable! The process of making an album is a good laugh."
Edward Styles, born 1st February 1994 is an English
singer, songwriter and actor. His musical career began in 2010 as a solo
contestant on the British music competition series, The X Factor.
Following his elimination early on, he was brought back to join the boy
band
One Direction, which went on to become one of the best-selling boy
bands
of all time.
Styles released his self-titled debut solo album through Columbia
Records in 2017. It debuted at number one in the U.K. and the U.S., and
became one of the world's top-ten best-selling albums of the year. Its
lead single, "Sign of the Times", topped the U.K. Singles Chart.
He made his acting debut in Christopher Nolan's 2017 war film
"Dunkirk".
Styles' second album, "Fine Line" (2019), debuted atop the U.S.
Billboard 200
with the biggest first-week sales by an English male artist in history,
and was listed
among Rolling Stone's "500 Greatest Albums of All Time" in 2020.
Its fourth single, "Watermelon Sugar", topped the US Billboard Hot 100.
Throughout his career, Styles has earned several accolades, including
a Brit Award, an American Music Award, two ARIA Music Awards,
and a Billboard Music Award. Aside from music, he is also known for his
flamboyant fashion, and is the first man to appear solo on the cover of
Vogue magazine.
Liam James Payne, born 29 August 1993 is an English
singer and songwriter.
He rose to fame as a member of the boy band One Direction.
Payne made his debut as a singer in 2008 when he auditioned for the
British television series The X Factor. After being eliminated in the
competition,
he auditioned again in 2010 and was put into a group with four other
contestants
to form One Direction.
Payne worked with other producers under the
monikers "Big Payno" and "Payno" creating remixes for songs by his group
and Cheryl.
After One Direction's hiatus, Payne signed a recording deal with
Republic Records
in North America. In May 2017, Payne released "Strip That Down" as the
lead single from his debut album. It peaked at number three on the U.K.
Singles Chart
and number ten on the U.S. Billboard Hot 100, being certified platinum
in both countries. His debut album, LP1, was released in December 2019.
He has sold over 18 million singles in just two years since One
Direction and over 3.9 billion career streams in that span.
"In the past, me and Louis had written a lot. At this stage, everyone joined in which was really cool as we all brought our own influences."
I have never been one genre or one artist or band person, I will listen
to any genre or artist or band as long as the music is fantastic.
I have favourite songs from a myriad of genres from Benga and similar
folk songs
to rock and everything else in between.
But I came to realize there is no pne artist or band that I love almost every work they have ever done like I do the works of One Direction. Every song One Direction have done from their teen years to the present are great hits in my book.
"It’s one of those songs that the first time you hear it, it’s a good
record, second time you hear it,
it’s a great record, and then the third time you hear it, it’s a
fantastic record.
And it was a unanimous decision that it was gonna be the first single.
It’s just a fantastically
good pop record, and it typified what the group were all about; it’s
quirky, it’s fun, and we couldn’t have
wished for a better first record." -
Simon Cowell on "What Makes you Beautiful.
Here is some of my reasons why I love One Direction;
Here is my ten best One Direction hit songs in and their current Youtube views as of 27th February 2021;
- From the Album Midnight Memories that become number 1 in 19
countries was written by
Niall Horan, Zayn Malik, Liam Payne, Harry Styles, Louis Tomlinson,
Jamie Scott, John Ryan
and Julian Bunetta.
- From the Album Made in the A.M., Drag me Down was written by Julian
Bunetta, Jamie Scott
and John Ryan.
- From the Album Midnight Memories, Best Song Ever was written by
Julian Bunetta, Wayne Hector,
Ed Drewett, Pete Townshend and John Ryan.
- From the Album Take Me Home that went Platinum in 21 countries, Live
While We're Young was written by Topper Headon, Mick Jones, Paul
Simonon,
Joe Strummer, Savan Kotecha, Rami Yacoub and Carl Falk.
- From the Album Take Me Home, Kiss You was written by Kristian
Lundin, Albin Nedler, Shellback, Joe Strummer, Savan Kotecha, Rami
Yacoub, Carl Falk
and Kristoffer Fogelmark.
- From the Album Four, Best Song Ever was written by Niall Horan, Zayn
Malik, Harry Styles, Liam Payne, Louis Tomlinson, Jamie Scott, Julian
Bunetta
and John Ryan.
- From the Album Four, Steal My Girl was written by Louis Tomlinson, Liam Payne, Wayne Hector, Julian Bunetta, Ed Drewett and John Ryan.
- From the Album Up All Night, Live While We're Young was written by Rami Yacoub, Carl Falk and Savan Kotecha.
- From the Album Midnight Memories, was written by Julian Bunetta, Jamie Scott, John Ryan
- From the Album Up All Night, Live While We're Young was written by Rami Yacoub, Carl Falk and Savan Kotecha.


Principal Investigators: Anonymized for peer-review
Title of the research experiment: Visualizing confidence, Part 2
Eligibility
You may only take part in this study if:
You understand English,
You are at least 18 years old,
Have at least a basic understanding of hypothesis testing and confidence intervals,
You use statistical tools in your research projects,
You are not using a handheld device such as tablet or phone to fill out the survey.
If you believe you may not be eligible, you can withdraw from the study without having to justify why.
Alternatively, you can ask for clarification of the eligibility criteria above before you make your decision by contacting either of the two investigators.
Should you wish to take part in this research experiment, please read the following information carefully.
Aim of Research
The goal of this experiment is to study the impact of visualization on statistical inferences.
Procedure, Data Collection, and Use of Gathered Data
The study is only run online through this webpage. Based on pilot-studies, we expect it to last less than 15 minutes. You can take a break at any moment,
but for technical reasons you cannot close the browser window containing the survey without terminating the study. In each page of the main study
you will be presented a single question. It is not possible to go back to the previous questions or skip questions.
You will be asked, at the beginning of the experiment, to fill in some demographic information but you will not be asked to provide any identifiable information.
We will not save any information about your location, software, or hardware.
Therefore no one, including the researcher, will be able to identify you from your responses.
Your responses will be used and analyzed by the researchers as part of a dataset generated by other participants who complete the study.
The findings of the study may be presented in a written publication and/or presented at conferences in future, and the study dataset may be shared online to promote open science.
Your information will be dealt with in accordance with The Freedom of the Press Act and The Public Access to Information and Secrecy Act (2009: 400, OSL).
Rest anonymized for peer-review.
Benefits, Compensation, and Risks
There will be no direct benefits for you taking part in the research, though you may gain some insight into how the different visualizations you will see could
be beneficial for your work. Your responses will be a very helpful contribution to research through furthering our understanding of people's perception of statistical results.
You can, after the study is over, contact the principal investigators to learn about the outcome of this experiment.
There will be no monetary compensation for participating in this study.
As the experiment does not involve any action other than the ones involved in the daily use of a computer, we expect that this study does not
present any other risk than the minimal risk of using a computer.
Contact
Should you have any question, please contact the main investigators at this address: Anonymized for peer-review
Assessing the effects of representation styles for statistical inference
Goal of the study
The goal of this experiment is to study whether various
representation styles of the results from a simple statistical analysis have an effect on the interpretation of these results.
Background story
A random sample of 50 adults from Sweden were prescribed a new medication for one week.
Another random sample of 50 adults were assigned to a control group.
Based on these measurements from these two samples, you are trying to figure out whether the
medication decreases the body weight compared to the control group who were given placebo.
Note that this is just an illustrative story, you can think a similar example from your own research area.
Your task
In this experiment you will be presented results from multiple independent trials
(each consisting of 50+50 participants)
like the one described above, with various representation styles of the results.
Your goal is to assess whether the medication decreases the body weight compared to the control group.
Explanation on the task
In each of the following pages, you will be presented with a figure
describing the results of a simple trial.
Your task is to answer the question
"How confident you are that the medication results in a decrease in body weight?".
Your answer will be given on a continuous scale using a slider (from 1 to 100).
In order to avoid accidental skipping of the trials,
the cursor on the slider is hidden until you click the slider.
There will be four sets of 8 trials, followed by a few questions about the overall
impressions of the representation styles and the survey in general.
Representation using discrete t-violin plots
What is shown?
In these representations, the figure shows
80%, 85%, 90%, 95%, and 99.9% confidence intervals
as colored areas. Until 80% CI the color is constant, and it then
gradually changes until 99.9% level.
The black line is a sample mean.
The width of the area is determined by the value of the corresponding density function of the t-distribution
used in constructing the CIs. For example, the width of the figure at point x is defined as f((x - sample_mean) / standard_error) / standard_error,
where f is the density function of t-distribution with 99 degrees of freedom.
Note the y-axis, higher values correspond to larger weight loss.
What is a confidence interval (CI)?
A 95% confidence interval of a mean refers to an interval estimate which,
if computed for infinitely many independent samples of equal size from the same population,
would contain the true population mean 95% of time.
The CI can be also interpreted in terms of
hypothesis testing as follows:
A 95% confidence interval presents those values of the true population effect
which would not lead to the rejection of the null hypothesis when testing against our
observed mean using t-test with significance level of 0.05.
How is the CI computed?
The confidence interval for the mean is computed using a sample mean, sample standard deviation,
sample size and t-distribution. For example assuming sample size of 100, the upper limit of 95% confidence interval is computed as
x = sample_mean + t * standard_error, where t=1.98 is the critical value from t-distribution with 99 degrees of freedom.
Difference from common violin plots
Note that violin plot typically describes the estimated probability density function of the data, whereas in this case we visualize the uncertainty regarding
the estimation of mean. These figures are also closely related to so called cat's eye plot.
Representation using confidence intervals
What is shown?
In these representations, you are given a graphical representation of a
95% confidence interval of the mean (lower and upper whiskers),
and the sample mean (black dot).
Note the y-axis, higher values correspond to larger weight loss.
What is a confidence interval (CI)?
A 95% confidence interval of a mean refers to an interval estimate which,
if computed for infinitely many independent samples of equal size from the same population,
would contain the true population mean 95% of time.
The CI can be also interpreted in terms of
hypothesis testing as follows:
A 95% confidence interval presents those values of the true population effect
which would not lead to the rejection of the null hypothesis when testing against our
observed mean using t-test with significance level of 0.05.
How is the CI computed?
The confidence interval for the mean is computed using a sample mean, sample standard deviation,
sample size and t-distribution. For example assuming sample size of 100, the upper limit of 95% confidence interval is computed as
x = sample_mean + t * standard_error, where t=1.98 is the critical value from t-distribution with 99 degrees of freedom.
Representation using t-violin plots
What is shown?
In these representations, the figure shows 95%, 95.1%, ..., 99.9% confidence intervals (0.1 percentage point increments)
as colored areas. Until 95% CI the color is constant, and it then gradually changes until 99.9% level.
The black line is a sample mean.
The width of the area is determined by the value of the corresponding density function of the t-distribution
used in constructing the CIs. For example, width of the figure at point x is defined as f((x - sample_mean) / standard_error) / standard_error,
where f is the density function of t-distribution with 99 degrees of freedom.
Note the y-axis, higher values correspond to larger weight loss.
What is a confidence interval (CI)?
A 95% confidence interval of a mean refers to an interval estimate which,
if computed for infinitely many independent samples of equal size from the same population,
would contain the true population mean 95% of time.
The CI can be also interpreted in terms of
hypothesis testing as follows:
A 95% confidence interval presents those values of the true population effect
which would not lead to the rejection of the null hypothesis when testing against our
observed mean using t-test with significance level of 0.05.
How is the CI computed?
The confidence interval for the mean is computed using a sample mean, sample standard deviation,
sample size and t-distribution. For example assuming sample size of 100, the upper limit of 95% confidence interval is computed as
x = sample_mean + t * standard_error, where t=1.98 is the critical value from t-distribution with 99 degrees of freedom.
Difference from common violin plots
Note that violin plot typically describes the estimated probability density function of the data, whereas in this case we visualize the uncertainty regarding
the estimation of mean. These figures are also closely related to so called cat's eye plot.
Representation using gradient plots
What is shown?
In these representations,
the figure shows 95%, 95.1%, ..., 99.9% confidence intervals (0.1 percentage point increments)
as colored areas. Until 95% CI the color is constant, and it then gradually changes until 99.9% level.
The black line is a sample mean.
Note the y-axis, higher values correspond to larger weight loss.
What is a confidence interval (CI)?
A 95% confidence interval of a mean refers to an interval estimate which,
if computed for infinitely many independent samples of equal size from the same population,
would contain the true population mean 95% of time.
The CI can be also interpreted in terms of
hypothesis testing as follows:
A 95% confidence interval presents those values of the true population effect
which would not lead to the rejection of the null hypothesis when testing against our
observed mean using t-test with significance level of 0.05.
How is the CI computed?
The confidence interval for the mean is computed using a sample mean, sample standard deviation,
sample size and t-distribution. For example assuming sample size of 100, the upper limit of 95% confidence interval is computed as
x = sample_mean + t * standard_error, where t=1.98 is the critical value from t-distribution with 99 degrees of freedom.
A random sample of 50 adults from Sweden were prescribed a new medication for one week.
Another random sample of 50 adults from Sweden were assigned to a control group and given a placebo.
Based on the information on the screen, how confident are you that the medication
decreases the body weight? Note the y-axis, higher values correspond to larger weight loss.
The leftmost position of the slider corresponds to the case "I have zero confidence in claiming an effect",
whereas the rightmost position of the slider corresponds to the case
"I am fully confident that there is an effect."
Zero confidenceFull confidence
The figure shows 80%, 85%, 90%, 95%, and 99.9% confidence intervals
as colored areas. Until 80% CI the color is constant, and it then
gradually changes until 99.9% level.
The black line is a sample mean.
The width of the area is determined by the value of the corresponding density function of the t-distribution
used in constructing the CIs.
The figure shows 95% confidence interval of the mean (lower and upper whiskers),
and the sample mean (black dot).
The figure shows 95%, 95.1%, ..., 99.9% confidence intervals (0.1 percentage point increments)
as colored areas. Until 95% CI the color is constant, and it then gradually changes until 99.9% level.
The black line is a sample mean.
The width of the area is determined by the value of the corresponding density function of the t-distribution
used in constructing the CIs.
The figure shows 95%, 95.1%, ..., 99.9% confidence intervals (0.1 percentage point increments)
as colored areas. Until 95% CI the color is constant, and it then gradually changes until 99.9% level.
The black line is a sample mean.
Subjective Assesments
Thank you for your participation so far. Before the end of the experiment,
we would like to ask you to give us some
feedback of the visualization you have seen in this experiment.


The program must display on screen a
vertical histogram representing the occurrences of each letter of the alphabet.
All letters will be uppercase (no need to check), and your program may
ignore numbers, spaces, punctuation, etc. Lines will be no longer than
80 characters, and if a letter occurs more than 32 times the histogram
should stop at 32.
*
*
*
*
*
* *
* *
* **
* * * *
***
* * ** * * ****
* * ** * ** ****
* * *** ***** **** **
* * ***** ***** **** ***
**************************
ABCDEFGHIJKLMNOPQRSTUVWXYZ
|


Class: Aws::StorageGateway::Types::UpdateNFSFileShareInput
| Relationships & Source Files | |
| Super Chains via Extension / Inclusion / Inheritance | |
|
Class Chain:
self,
Struct
|
|
|
Instance Chain:
self,
::Aws::Structure ,
Struct
|
|
| Inherits: |
Struct
|
| Defined in: | gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb |
Overview
UpdateNFSFileShareInput
Constant Summary
Instance Attribute Summary
-
#audit_destination_arn ⇒ String
rw
The Amazon
::Aws::StorageGateway::Resource
Name (ARN) of the storage used for audit logs. -
#cache_attributes ⇒ Types::CacheAttributes
rw
Specifies refresh cache information for the file share.
-
#client_list ⇒ Array<String>
rw
The list of clients that are allowed to access the
::Aws::S3
File Gateway. -
#default_storage_class ⇒ String
rw
The default storage class for objects put into an Amazon S3 bucket by the
::Aws::S3
File Gateway. -
#file_share_arn ⇒ String
rw
The Amazon
::Aws::StorageGateway::Resource
Name (ARN) of the file share to be updated. -
#file_share_name ⇒ String
rw
The name of the file share.
-
#guess_mime_type_enabled ⇒ Boolean
rw
A value that enables guessing of the MIME type for uploaded objects based on file extensions.
-
#kms_encrypted ⇒ Boolean
rw
Set to
true
to use Amazon S3 server-side encryption with your own::Aws::KMS
key, orfalse
to use a key managed by Amazon S3. -
#kms_key ⇒ String
rw
The Amazon
::Aws::StorageGateway::Resource
Name (ARN) of a symmetric customer master key (CMK) used for Amazon S3 server-side encryption. -
#nfs_file_share_defaults ⇒ Types::NFSFileShareDefaults
rw
The default values for the file share.
-
#notification_policy ⇒ String
rw
The notification policy of the file share.
- #object_acl ⇒ String rw
-
#read_only ⇒ Boolean
rw
A value that sets the write status of a file share.
-
#requester_pays ⇒ Boolean
rw
A value that sets who pays the cost of the request and the cost associated with data download from the
::Aws::S3
bucket. -
#squash ⇒ String
rw
The user mapped to anonymous user.
Instance Method Summary
::Aws::Structure
- Included
| #to_hash | Alias for Aws::Structure#to_h. |
Instance Attribute Details
#audit_destination_arn ⇒ String
(rw)
The Amazon ::Aws::StorageGateway::Resource
Name (ARN) of the storage used for audit logs.
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#cache_attributes ⇒ Types::CacheAttributes (rw)
Specifies refresh cache information for the file share.
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#client_list ⇒ Array
<String
> (rw)
The list of clients that are allowed to access the ::Aws::S3
File Gateway.
The list must contain either valid IP addresses or valid CIDR
blocks.
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#default_storage_class ⇒ String
(rw)
The default storage class for objects put into an Amazon S3 bucket
by the ::Aws::S3
File Gateway. The default value is S3_STANDARD
.
Optional.
Valid Values: S3_STANDARD
| S3_INTELLIGENT_TIERING
|
S3_STANDARD_IA
| S3_ONEZONE_IA
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#guess_mime_type_enabled ⇒ Boolean
(rw)
A value that enables guessing of the MIME type for uploaded objects
based on file extensions. Set this value to true
to enable MIME
type guessing, otherwise set to false
. The default value is
true
.
Valid Values: true
| false
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#kms_encrypted ⇒ Boolean
(rw)
Set to true
to use Amazon S3 server-side encryption with your own
::Aws::KMS
key, or false
to use a key managed by Amazon S3. Optional.
Valid Values: true
| false
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#kms_key ⇒ String
(rw)
The Amazon ::Aws::StorageGateway::Resource
Name (ARN) of a symmetric customer master key
(CMK) used for Amazon S3 server-side encryption. Storage Gateway
does not support asymmetric CMKs. This value can only be set when
KMSEncrypted
is true
. Optional.
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#notification_policy ⇒ String
(rw)
The notification policy of the file share. SettlingTimeInSeconds
controls the number of seconds to wait after the last point in time
a client wrote to a file before generating an ObjectUploaded
notification. Because clients can make many small writes to files,
it's best to set this parameter for as long as possible to avoid
generating multiple notifications for the same file in a small time
period.
SettlingTimeInSeconds
has no effect on the timing of the object
uploading to Amazon S3, only the timing of the notification.
The following example sets NotificationPolicy
on with
SettlingTimeInSeconds
set to 60.
\{"Upload": \{"SettlingTimeInSeconds": 60\}\}
The following example sets NotificationPolicy
off.
\{\}
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#object_acl ⇒ String
(rw)
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#read_only ⇒ Boolean
(rw)
A value that sets the write status of a file share. Set this value
to true
to set the write status to read-only, otherwise set to
false
.
Valid Values: true
| false
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#requester_pays ⇒ Boolean
(rw)
A value that sets who pays the cost of the request and the cost
associated with data download from the ::Aws::S3
bucket. If this value is
set to true
, the requester pays the costs; otherwise, the ::Aws::S3
bucket owner pays. However, the ::Aws::S3
bucket owner always pays the cost
of storing data.
RequesterPays
is a configuration for the ::Aws::S3
bucket that backs the
file share, so make sure that the configuration on the file share is
the same as the ::Aws::S3
bucket configuration.
Valid Values: true
| false
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end
#squash ⇒ String
(rw)
The user mapped to anonymous user.
Valid values are the following:
RootSquash
: Only root is mapped to anonymous user.NoSquash
: No one is mapped to anonymous user.AllSquash
: Everyone is mapped to anonymous user.
# File 'gems/aws-sdk-storagegateway/lib/aws-sdk-storagegateway/types.rb', line 6828
class UpdateNFSFileShareInput < Struct.new( :file_share_arn, :kms_encrypted, :kms_key, :nfs_file_share_defaults, :default_storage_class, :object_acl, :client_list, :squash, :read_only, :guess_mime_type_enabled, :requester_pays, :file_share_name, :cache_attributes, :notification_policy, :audit_destination_arn) SENSITIVE = [] include Aws::Structure end


| Total net profit | -112.5 | Gross profit | 70.0 | Gross loss | -182.5 |
| Profit factor | 0.38 | Expected payoff | -14.06 | ||
| Absolute drawdown | -112.5 | Maximal drawdown (%) | 84.7 (-304.68%) | ||
| Total trades | 8 | Profit trades (% of total) | 2 (25.0%) | Loss trades (% of total) | 6 (75.0%) |
| Long positions (won %) | 3 (66.67%) | Short positions (won %) | 5 (0.0%) | ||
| Largest | profit trade | 55.0 | loss trade | -36.4 | |
| Average | profit trade | 35.0 | loss trade | -30.42 | |
| Minimum | profit trade | 15.0 | loss trade | -20.0 | |
| Maximum | take profit in pips | 29120.0 | stop loss in pips | -3510.0 | |
| Average | take profit in pips | 8718.7 | stop loss in pips | -2861.3 | |
| Minimum | take profit in pips | 120.0 | stop loss in pips | -2000.0 | |
| Maximum | Reward-Risk | 9.7 | Duration in minutes | 600 | |
| Average | Reward-Risk | 3.1 | Duration in minutes | 118.6 | |
| Minimum | Reward-Risk | 0.0 | Duration in minutes | 0 | |
| Maximum | consecutive wins (profit in money) | 1.0 (15.0) | consecutive losses (loss in money) | 3.0 (-84.7) | |
| Average | consecutive wins | 1.0 | consecutive losses | 1.0 |
| Total net profit | 50.0 | Gross profit | 70.0 | Gross loss | -20.0 |
| Profit factor | 3.5 | Expected payoff | 16.67 | ||
| Absolute drawdown | 15.0 | Maximal drawdown (%) | 20.0 (28.57%) | ||
| Total trades | 3 | Profit trades (% of total) | 2 (66.67%) | Loss trades (% of total) | 1 (33.33%) |
| Largest | profit trade | 55.0 | loss trade | -20.0 | |
| Average | profit trade | 35.0 | loss trade | -20.0 | |
| Minimum | profit trade | 15.0 | loss trade | -20.0 | |
| Maximum | take profit in pips | 5350.0 | stop loss in pips | -3000.0 | |
| Average | take profit in pips | 3596.7 | stop loss in pips | -2333.3 | |
| Minimum | take profit in pips | 1240.0 | stop loss in pips | -2000.0 | |
| Maximum | Reward-Risk | 2.7 | Duration in minutes | 152.0 | |
| Average | Reward-Risk | 1.7 | Duration in minutes | 58.7 | |
| Minimum | Reward-Risk | 0.4 | Duration in minutes | 0.0 | |
| Maximum | consecutive wins (profit in money) | 2.0 (70.0) | consecutive losses (loss in money) | 1.0 (-20.0) | |
| Average | consecutive wins | 2.0 | consecutive losses | 1.0 |
| Total net profit | -162.5 | Gross profit | 0.0 | Gross loss | -162.5 |
| Profit factor | 0.0 | Expected payoff | -32.5 | ||
| Absolute drawdown | -162.5 | Maximal drawdown (%) | 131.1 (-417.52%) | ||
| Total trades | 5 | Profit trades (% of total) | 0 (0.0%) | Loss trades (% of total) | 5 (100.0%) |
| Largest | profit trade | 0.0 | loss trade | -36.4 | |
| Average | profit trade | 0.0 | loss trade | -32.5 | |
| Minimum | profit trade | 0.0 | loss trade | -30.0 | |
| Maximum | take profit in pips | 29120.0 | stop loss in pips | -3510.0 | |
| Average | take profit in pips | 11792.0 | stop loss in pips | -3178.0 | |
| Minimum | take profit in pips | 120.0 | stop loss in pips | -3000.0 | |
| Maximum | Reward-Risk | 9.7 | Duration in minutes | 600.0 | |
| Average | Reward-Risk | 3.9 | Duration in minutes | 154.6 | |
| Minimum | Reward-Risk | Duration in minutes | 19.0 | ||
| Maximum | consecutive wins (profit in money) | 0.0 (0.0) | consecutive losses (loss in money) | 5.0 (-162.5) | |
| Average | consecutive wins | 0.0 | consecutive losses | 5.0 |


Log a message, specifying source class and method, with an array of
object arguments and a throwable, if the logger is currently enabled for
the given message level.
An SSLSocketFactoryFactory provides a socket factory and a server socket
factory that then can be used to create SSL client sockets or SSL server
sockets.