| DOSE: T+ 0:00 |
repeated |
oral |
Alcohol - Beer/Wine |
(liquid) |
| T+ 0:00 |
repeated |
inhaled |
Nitrous Oxide |
(gas) |
| T+ 0:00 |
repeated |
insufflated |
Ketamine |
(powder / crystals) |
| T+ 0:00 |
2 tablets |
oral |
MDMA |
(pill / tablet) |
| T+ 0:15 |
1 tablet |
oral |
Hydrocodone |
(pill / tablet) |
| T+ 0:45 |
1 tablet |
oral |
MDMA |
(pill / tablet) |
| T+ 1:30 |
1 hit |
oral |
LSD |
(blotter / tab) |
| T+ 3:30 |
1 tablet |
oral |
MDMA |
(pill / tablet) |
DOSE: T+0:00. MDMA, 2 pills
T+0:45. MDMA, 1 pill
T+1:30. LSD, 1 tab
T+3:30. MDMA, 1 pill
Approximately every hour:
Various lines of Ketamine.
Various hits of nitrous
BODY WEIGHT: 175 lbs
Approximately two years I attended a gathering of friends in Los Angeles at the home of my friend Jace and his wife. This was typically something I would do about twice a year when I could afford the trip. I live in New York, but I've still made my way out to see Jace and several other online friends because they are exceedingly cool folks, the likes of which I do not know here on the East Coast.
Jace has an excellent house and is kind enough to often host parties where we can get together and share a good time enhanced by whatever substances we happen to have on hand. This time, our friend Mercy from Oregon had some acid. I had been smoking a lot of pot the week previous to this, and had started to suffer from a generalized anxiety disorder which I believe is the result of years of psychadelic abuse and had told myself that taking the LSD would likely not be a good idea. I had it in my mind that I might opt out when the opportunity arose. Somehow though, even when I have made obscene combinations of various chemicals, I'd never had a bad experience at Jace's. This is undoubtedly due to the near perfect set and setting as well the people that hang out here. Environment is everything.
That being said, until people got there, we'd been hitting small amounts of K and nitrous to pass the time. I was drinking my beer, as I always do. It seems to anchor me to reality. I just like having something to sip on. I popped two pills of E once people started showing up and was soon enjoying the effects and added energy. I noticed that the amphetamine like rush of the MDMA was causing an unpleasant body load as I was feeling quite jittery. I took a vicodin from Jace's wife to try and balance that out. It may have had an effect, but it was hard to tell.
I was having a good time and bouncing between the two 'theatres' of the party. One was in the garage where the smokers would chill out under flourescent lighting, the other was in the living room where the lights were dimmed and other folks were passing around baloons of nitrous. I tend to remain mobile and enjoy moving around under the influence. I changed rooms a number of times once I became more accustomed to the body load of the MDMA and began relaxing. I decided taking another MDMA pill to extend my peak would be a great idea and did so.
Shortly thereafer, the four of us who would be tripping received our LSD from Mercy. That meant Mercy, Jace, Raven and myself. Whatever reservations I had held in sobriety were non-existant in the MDMA-induced bliss I was in at the point. Combined with the buzz from the other substances, I was having a grand old time and saw no reason to see what would come of this.
The LSD did not take long to kick in. Perhaps 45 minutes later, I found myself shifting from location to location without really knowing how I got there. My first memory of being in the trip was sitting on the floor of the living room where we were all (maybe 10 people present) were passing around balloons of nitrous. I looked up at Dace who was sitting on the couch and was quite surprised to see a look of total and abject horror on his face, which may or may not have actually been there in reality. The look on his face was probably due to a vortex that had positioned itself near his left eye and which seemed to be a crack in reality. Said crack was pulling Jace's face into it and it looked like it wasn't too pleasant. In my state of mind, I figured he was probably seeing something along the lines of what I was and that explained his look.
Balloons and ketamine continued to circulate. I looked over at Raven, whose mohawked-head was now encircled in a glowing blue crown of hieroglyphs, and suddenly was pulled a bit out of reality for a moment. At that moment it seemed I knew what both Jace and Raven were thinking. We later commented on this and it was therefore referred to as 'that thing that happened which we cannot discuss'.
Suddenly I was in the garage. I was sitting on the couch with my eyes opened far enough that it was amazing they managed to remain in my sockets. I was in disbelief at the visuals I was having. With my eyes completely open and looking at people, I was watching a completely different movie than everyone else. I was watching Jace cut lines of Ketamine and suddenly I gained the ability to see through time. I was watching, in time lapse, the history of our location. I saw events that were passed down in the history books, and came to the realization that many of these events simply did not happen. They were metaphors and lies. Additionally, reality itself was merely an invention of the human mind so it could make sense of the truth. We were like cells in a human body, if you can imagine, all performing functions to keep whatever it was that we laboring on working. To cope with our non-sensical and sensory deprived existence, we invented a reality around us that gave it purpose.
To elaborate, if you could imagine the red blood cells in your vein going from the heart to various parts of the body, I saw us like those blood cells. We were simply carrying oxygen around without really knowing it, while instead of a trip through a blood vessel, we imagined ourselves commuting to work and being in a car. I wondered if everyone came up with the same reality, or that if our interactions were just filtered from our subjective reality to another person's subjective reality so it all fit. I imagine this idea came from my experience with large doses of Ketamine. When I am deep in a K-hole, I am dissociated from my senses, but I start to hallucinate because my mind fills in the blanks. It's like a dream.
At this point, I heard Jace say, 'Rayn.  I went to get another beer and use the restroom.  My eyes were open so far they looked like white circles. This was not a hallucination, as any of the more sober people could attest to. I guess I was just really, really surprised.
Time moved quickly from that point as I drifted in and out of intense hallucinations every time I decided to sit for a moment. I would go to the garage and smoke a cigarette where Raven and Dace were. They had decided to do such obscene amounts of K that they could no longer remain mobile. I believe Jace said he wound up losing 5 hours in the middle of the night. For most purposes, so did I. Thought I was experiencing profound and terrible things every moment, they were beyond words. I was in mental realm far beyond my ability to communicate, and so I just sat there while my ego shattered and came back to me. It was peaceful. So completely peaceful. There was no anxiety. I kept drinking my beer and moving beyond the two theatres as I was inclined.
At some point, I fell out of this trancelike state and found myself in the garage with the sun coming up. I went to stand and was surprised to feel the familiar body buzz of LSD. I noticed my sense of smell was greatly enhanced and I found the smell of people offensive. Not to say anyone was unclean, but more that I could smell the natural smell we are desensitized to by daily life. I even noticed it on myself. It was negative. I also retained that feeling that reality was somewhat alien to me, and thus was feeling great, but very, very odd. I made my way to the living room where it was quite bright.
Some of the party members were preparing large lines of ketamine in order to tranquilize themselves and possibly get some rest. I was sitting in the circle when suddenly I found myself looking down at ... myself. 'That's disconcerting.' I thought. 'I wonder if ... wait, what is ... I?' Hello, ego death.
My concept of self was suddenly erased. I didn't have time to go through the usual scary parts where I feel the terrible instinct that I must hold onto my ego or it will mean my death. Nope, just suddenly outside my body, and 2 seconds later, outside the house. A few seconds more and I'm outside the planet, looking at Earth. All the while, I'm completely peaceful, as if I were nothing but air.
Things speed up. I'm receding through the universe and things are getting farther and farther away. Suddenly, I'm looking at a small red circle. It moves. There's another one. It moves to the right. Zoom out a bit more. Its a conveyer belt. A conveyer belt of universes. All part of some huge machine. I see a man operating the machine. He is with and without shape at once. He has a thousand faces and a thousand voices. He looks uninvolved. He is God. I zoom out more and see thousands of these machines. In the center is a brass gear turning them all. I focus on this brass gear and watch it spin and spin and spin. Suddenly, the edges of the hallucination start to fade.
'Rayn? Rayn?'
I'm still looking at the gear but I begin to make out the carpet beneath me, and what appears to be a tray of white lines of Ketamine in my peripheral vision. I'm home, but I'm still looking at the gear ... ? Oh ... its the nitrous cracker. It all started because I was looking at the nitrous cracker. I'm spinning it back and forth, back and forth. There's a cartridge in it. I'm lucky I didn't discharge it in my hand. One of Jace's roommates greets me with eyes probably as big as mine. I take a few lines and lie down to try to integrate my experience. It didn't really work. I found myself unable to speak much sense for the better part of the next day. My body was tremendously hurt. I'd polished off a 12 pack over the course of the night and was hung over.  I think I was not completely down until nearly 18 hours later due to fatigue.
Overall, it was a ++++ experience. I don't know if I could ever replicate it. With all my experience on hallucinogens, I'd never had such vivid, open-eye visuals. Honestly, it was more like DMT than LSD. The visions were not immediately reassuring or friendly. For a long time after that, and still today, I sometimes wonder about the layers of reality and where I fit into them. Ultimately, I did find spiritual meaning in my visions, and I am not sure how to communicate such a conglomeration of feelings.
I still can't open my eyes that wide though.
Experience Reports are the writings and opinions of the individual authors who submit them.
Some of the activities described are dangerous and/or illegal and none are recommended by Erowid.


#include <pioneer_sip.h>
Definition at line 49 of file pioneer_sip.h.
| ros_pioneer::PioneerSIP::PioneerSIP |
( |
const PioneerConfig & |
config | ) |
|
| double ros_pioneer::PioneerSIP::degreesToRad |
( |
double |
degrees | ) |
|
|
staticprivate |
| int ros_pioneer::PioneerSIP::encoderDifference |
( |
int |
previous, |
|
|
int |
current |
|
) |
| |
|
staticprivate |
| void ros_pioneer::PioneerSIP::identify |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseArm |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseArmInfo |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseConfig |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseEncoder |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseGripper |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseGyro |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseIMU |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseIO |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseJoystick |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseSERAUX |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseStandard |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| void ros_pioneer::PioneerSIP::parseTCM2 |
( |
const PioneerPacket & |
packet | ) |
const |
|
private |
| double ros_pioneer::PioneerSIP::radToDegrees |
( |
double |
radians | ) |
|
|
staticprivate |
| float ros_pioneer::PioneerSIP::arcos_version_ |
|
private |
| ros::NodeHandle ros_pioneer::PioneerSIP::nh_ |
|
private |
The documentation for this class was generated from the following files:


{% extends "landing-page/base.html" %} {% block "content" %} {% include "./components/navbar.html" %} {% include "./components/header.html" %} {% include "./components/app_showcase.html" %} {% include "./components/technologies.html" %} Let's Get In Touch! Softhub Twitter Softhub Facebook Softhub Google Plus<EMAIL_ADDRESS>{% endblock %}
Softhub Twitter
Softhub Facebook
Softhub Google Plus
feedback@startbootstrap.com


Thandiswa Mazwai confirms release date for new Bongo Maffin album
by Nikita CoetzeeJohannesburg – It's been over a decade since Bongo Maffin released an album, and now the famed group have officially announced the release date of their new offering.
The foursome, made up of Thandiswa Mazwai, Jah Seed (Adrian Mupemi), Stoan (Tshepo Seate) and Speedy (Harold Matlhaku), reunited early this year to drop their single Harare, which was well received by supporters.
Since then, fans have been waiting in bated breath for the group to release an album.
Taking to social media on Friday, Thandiswa confirmed that Bongo Maffin's new work would be made available toward the end of November.
"What a crazy ride! @RealBongoMaffin is dropping an album on 29 November U HEARD!!!" she wrote.


How did the ‘process over product’ concept affect the way you tackled the site redesign and rebuild??
What I took away from the “process over product” concept was create a site that was simple to use, straight forward with not a lot of flair. I feel I created that kind of site with easy to read button and not a lot of text. When I would get hung up on something or feeling like it was so plain I would just remind myself that we are trying to make a responsive site and not a flashy site. I also found this Emotional booster to be very helpful.
What did you think about meditation before reading Chapter 2?
Meditation has always been something that I found intriguing, and I understand that is very beneficial for future mindfulness and old age. I have attempted it a few times, not really feeling any benefits.
What new things have you learnt about meditation?
Meditation is excursive for the mind, the key of it is to keep the mind focused on the breath. When the mind drifts pull it back to the breath, it’s this “movement” that works out the brain.
Achieving good meditation is making sure that you are relaxed and alert. Accomplishing this is finding a good posture and experimenting with eyes open and closed. When you get distracted or feel discomfort all you need to do it “acknowledge” and then “don’ judge” yourself. The acknowledgement is mindfulness, being aware and lot letting it affect the goal.
Did any of the suggested meditation techniques stand out to you?
“Breathing like your life depends on it.” Jon Kabat-Zinn
This gives us an understanding into what meditation is; it’s a state of mind which is fully aware, alert and relaxed.


{% extends 'base.html' %} {% load static %} {% load crispy_forms_tags %} {% block banner_text %}
Enter the Test IDs of your friends (seperated by commas) to compare your personalities with theirs. {% if request.answer_group %}The ID of your last attempted test is {{ request.answer_group }} {% endif %}


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Your privacy is important to us. It is Alifma's policy to respect your privacy regarding any information we may collect from you across our website, http://alifma.github.io/mp-instagram, and other sites we own and operate.
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We don’t share any personally identifying information publicly or with third-parties, except when required to by law.
Our website may link to external sites that are not operated by us. Please be aware that we have no control over the content and practices of these sites, and cannot accept responsibility or liability for their respective privacy policies.
You are free to refuse our request for your personal information, with the understanding that we may be unable to provide you with some of your desired services.
Your continued use of our website will be regarded as acceptance of our practices around privacy and personal information. If you have any questions about how we handle user data and personal information, feel free to contact us.
This policy is effective as of 25 June 2020.


Installing exploitable DSiWare
This page still works fine, however, it is quite outdated and complicated. Follow here for an updated Sudoku+sudokuhax guide. Sudokuhax is really the only exploit you need.
We will now install an exploitable DSiWare on your DSi. Before starting, look at the table below and choose one of the DSiWares for your region. If you have already gotten one of these on your DSi or on a 3DS, choose that one. If not, choose Sudoku, which is the only one still purchaseable on the 3DS eshop. After choosing a DSiWare, write down its short and long IDs.
| DSiWare/Application | Short ID | Long ID | |
|---|---|---|---|
| Sudoku | USA: 4b344445 EUR: 4b344456 |
USA: 000300044b344445 EUR: 000300044b344456 |
|
| Fieldrunners | USA: 4b464445 EUR: 4b464456 |
USA: 000300044b464445 EUR: 000300044b464456 |
Legends of Exidia | USA: 4b4c4545 EUR: 4b4c4556 JAP: 4b4c454a |
USA: 000300044b4c4545 EUR: 000300044b4c4556 JAP: 000300044b4c454a |
| The Legend of Zelda: Four Swords Anniversary Edition | USA: 4b513945 EUR: 4b513956 |
USA: 000300044b513945 EUR: 000300044b513956 |
|
We do not condone the use of piracy to obtain a copy of one of these DSiWare applications, and strongly encourage you to buy Sudoku on the 3DS eshop instead of resorting to piracy (seriously, it's only $2).
What you need
- A way to boot into FWTool, such as ugopwn (incompatible with non-USA consoles)
- A decrypted Nand backup of the DSi you are installing an exploit to
- A .app or .cia version of the DSiWare you want to install
- The latest release of ctrtool
- The sudoku patch pack
- The tmds for exploitable DSiWares
- The latest release of HxD, or some other hex editor
- The latest release of OSFMount
- The latest release of TWLTool
- ticket-handling.zip
- The DSiWareHax Saves pack
- The latest release of No$GBA
- The Nintendo DSi BIOS
- The DSi footer template
- The latest release of fwTool
Instructions
- You don't need to follow this section if you already have your DSiWare installed, or if you already have a .app version of your DSiWare.
- If you don't have a .cia version of the DSiWare you want to install, use FunkeyCIA or Villain3DS to get one using the eshop data of a 3DS console that has bought one of these apps (if you haven't bought one yet, Sudoku is the only one still on the eShop).
- Download and extract the contents of the
crtool release
to a new folder - Place your .cia file in the crtool folder and rename it to
dsiware.cia
- Run
extract.bat
. You should get a file called00000000.app
, which is the .app version of your DSiWare. - You do not need to follow this section if the DSiWare app you are exploiting is not Sudoku. If you have Sudoku on your DSi already but bought after 2011, you should still follow this section and the next one, because you probably have the version that cannot execute the exploit.
- Download the
sudoku patch pack
and extract it to a new folder. - Place your .app version of sudoku in that folder. (If you have sudoku on your DSi already, you can find it in the
title/00030004/XXXXXXXX/content folder
of your decrypted nand backup, with XXXXXXXX being the short ID of your version of Sudoku. - Open Lunar IPS. Select "Apply IPS patch".
- Select the .ips file corresponding to your DSi's region.
- Switch the file view from "Most Common ROM Files" to "All files (*.*)".
- Select your .app file. It will then be turned into the original Sudoku.
- If your DSi already has the app you're trying to install an exploit to, you can skip this section (this only applies if that app is not Sudoku, refer to Section II for why that is).
- Create a new folder with a name that matches the short ID of the game you are trying to install. From now on, this guide will refer to that folder as the "short ID folder".
- Inside the short ID folder, create two new folders, called "content" and "data".
- Put the .app version of your DSiWare in the "content folder".
- Download the
tmd pack
and drag the .tmd file corresponding to your DSiWare into the content folder. - Rename it to
title.tmd
. - Open title.tmd in a hex editor. Go to offset 208 (Row 20, column 08). Delete it and everything after it, shortening the file.
- Go to offset 1E7. Write down the two numbers you see there.
- Rename your .app file to
000000XX.app
, with XX being the two numbers you got in the previous step. - Make a copy of your decrypted nand backup, and use OSFMount to mount it.
- Open the
title
folder, and then open the00030004
folder inside it. - Move the short ID folder into the
00030004
folder. - Go back to the root of the mounted nand backup, then open the
ticket
folder. - Open the
00030004
folder inside theticket
folder. - Copy any of the .tik files you see there to another folder on your computer.
- Download
TWLTool.zip
and extract it into a new folder. - Move the .tik file you got in the previous steps to the TWLTool folder.
- Download the
ticket-handling.zip
and extract the two .bat files into the TWLTool folder. - Open
decrypt ticket.bat
in a text editor and replace "ConsoleID_BLANK" with your DSi's Console ID. - Save and run
decrypt ticket.bat
. You should get a file calleddec_ticket.tik
. - Open
dec_ticket.tik
in a hex editor. - Go to offset 1DC and replace it (and the next 8 offsets) with the long ID of your DSiWare, then save the file.
- Open the other .bat file,
encrypt ticket.bat
, in a text editor and replace "ConsoleID_BLANK" with your DSi's Console ID. - Save and run
encrypt ticket.bat
. You should get a file calledenc_ticket.tik
. - Rename it to
XXXXXXXX.tik
, with XXXXXXXX being your DSiWare's short ID. - Move that .tik file to the
ticket/00030004 folder
of your Nand backup. - If you haven't already done so, mount your decrypted Nand backup
- Download and open the
DSiWareHax saves pack
. - Choose the folder for your DSiWare and region and open it. You should see a “title” folder inside it.
- Drag that “title” folder onto the root of your decypted Nand backup. Accept if it asks if you want to merge folders and overwrite the public.sav file already there.
- Unmount your decrypted nand backup, then re-encrypt it with TWLTool.
- Download and extract NO$GBA to a directory.
- Make a copy of the re-encrypted nand backup in your NO$GBA directory (make sure you have extracted the NO$GBA archive) and rename it to DSI-1.mmc
- Extract the DSi BIOS files from the "DSi firmware files.zip" archive into the NO$GBA directory
- Download the DSi footer template file and extract it to the NO$GBA directory.
- Open it in HxD.
- Replace the 16 bytes filed with AAs with your CID
- Replace the 8 bytes filed with BBs with your Console ID, but reversed. This means that if your Console ID starts with the byte 26 and ends with 08, for example, it should now end with 26 and start with 08.
- After you have inserted your CID and Console ID, highlight and copy the entire footer file.
- Open DSi-1.mmc and scroll to the end of the file. At the end of the file, paste in the footer.
- Save and close DSi-1.mmc and open No$GBA.
- Go to options and then Emulation setup.
- In the Emulation tab, set “Reset/Startup Entrypoint” to “GBA/NDS BIOS (Nintendo logo)” and NDS Mode Colors to “DSi (retail/16MB)”. Then click Save Now and then OK.
- Go to File, Cartridge Menu (FileName), and then open any .nds file (such as FWTool).
- Your NAND will now be emulated by NO$GBA. Go to the DSi main menu.
- You should see a gift-wrapped icon. Tap it to reveal your newly-installed DSiWare.
- Open the DSiWare you installed and trigger the exploit. You should see an error occur in NO$GBA.
- If anything that was described above does not match what you saw, you made a mistake. Either try to find what it is or try this procedure again from the beginning.
- If your encrypted NAND and exploit works on NO$GBA, then rename the original re-encrypted nand backup to nand_dsi.bin (if it asks you to overwrite, you may want to move the other nand_dsi.bin somewhere else and try renaming it again)
- Move the new nand_dsi.bin to the folder in your SD card with random letters (if it asks to overwrite, simply accept)
- Open fwtool using any exploit you have on your DSi (if you only have ugopwn, follow steps 8-22 of the Downgrading page to open fwtool).
- Once in FWTool again, select
Restore nand_dsi.bin
(This may take a while. DO NOT EXIT FWTool until the restoration is complete.) - Exit FWTool. You should now have an exploited DSiWare installed!
Section I - Converting your .cia to a .app
Section II - Patching Sudoku
Section III - Installing the DSiWare app to a nand backup
Section IV - Installing the exploited save
Section V - Testing Your NAND with NO$GBA
Section VI - Flashing your NAND
If you would like to check out what DSi Homebrew you can now use, check out the Homebrew Downloads page.


#include <boost/config.hpp>
#include <boost/constrained_value/constrained.hpp>
Go to the source code of this file.
Classes | |
| struct | no_constraint |
| A dummy constraint policy allowing for any value (and thus imposing no constraint). More... | |
| class | unconstrained |
| Alias for constrained with no_constraint used as the constraint policy. More... | |
| struct | unconstrained::_no_error_policy |
| A dummy error policy ignoring any error. | |
Namespaces | |
| namespace | boost::constrained_value |
| The Boost Constrained Value library's namespace. |
Copyright (C) 2004-2008 Robert Kawulak (Robert.Kawulak.at.gmail.com). Distributed under the Boost Software License, Version 1.0 (see accompanying file LICENSE_1_0.txt or copy at http://www.boost.org/LICENSE_1_0.txt).
Definition in file unconstrained.hpp.


--- layout: post title: Ft Lauderdale date: '2015-02-27T22:38:00.001-07:00' author: Jacob . tags: - progress-reports modified_time: '2015-02-27T22:38:08.363-07:00' blogger_id: tag:blogger.com,1999:blog-6400085873105072120.post-4689173847340263402 blogger_orig_url: http://www.svlark.com/2015/02/ft-lauderdale.html --- I was working on bleeding OPs fuel system and the head of the bleed nut on the governor housing twisted right off.  So today we made the 200 mile round trip to track down a new part on Ft Lauderdale's amazing Marina Mile.


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Output Format
PHPStan supports different output formats through various so-called error formatters.
You can pass the following keywords to the `--error-format=X` CLI option of the `analyse` command in order to affect the output:
- `table`: Default. Grouped errors by file, colorized. For human consumption.
- `raw`: Contains one error per line, with path to file, line number, and error description
- `checkstyle`: Creates a checkstyle.xml compatible output. Note that you'd have to redirect output into a file in order to capture the results for later processing.
- `json`: Creates minified .json output without whitespaces. Note that you'd have to redirect output into a file in order to capture the results for later processing.
- `prettyJson`: Creates human readable .json output with whitespaces and indentations. Note that you'd have to redirect output into a file in order to capture the results for later processing.
- `junit`: Creates JUnit compatible output. Note that you'd have to redirect output into a file in order to capture the results for later processing.
- `gitlab`: Creates format for use Code Quality widget on GitLab Merge Request.
You can also implement your own custom error formatter. [Learn how »](/developing-extensions/error-formatters)


BlogPing
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(live demo)


THE POP-O-MATIC JUNGLE
"Jumanji", ILM's latest effects-soaked extravaganza, is yet another example of how important story really is. Taking a visual cue from ILM's magician logo, the screenwriters seem to be content with pulling set pieces from out of thin air. One can imagine the pitch meeting for this film sound- ing something like, "it'll be like the T-rex attack in 'Jurassic Park' -- for the whole movie!!" Where "Jurassic's" story wasn't exactly material for "Masterpiece Theater", it did make the initial premise -- a dinosaur game preserve/theme park -- seem initially wonderous and exciting, to the characters and the aud- ience. Only later do we realize, "Oh, right, unless everything went perfectly, not only would it not be great, it would probably be extremely dangerous." The majority of "Jurassic" is a pretty exciting illustration of that realiza- tion. In "Jumanji", however, not only do we have no idea why the game was ever created, we additionally have no convincing reason given to us why anyone would want to *play* it. The squares are conveniently blank -- if anyone were actually aware of the tropical travails generously strewn along the game path, as well as the fact that each square's caption will really happen to you -- most folks would blow the game into a million pieces and scatter the remains amongst the four corners of the globe. Ostensibly the main character begins playing to escape his uncaring parents and bullying peers. The script, while furnishing needs for its hero, apparently forgot that the game doesn't ever fufill any of them. One would think that initially the game would make his life better, and later reveal a deadly price. "Jumanji", however, is one nasty, powerful game; giving anyone who plays it nothing but abuse. Still, three sets of children fall prey to its seductively hand-carved board and jungle rhythms that (apparently) only they can hear. Additionally, there's no evidence given that any of the threats re- leased by the game can only be resolved by the game's finish. We're left with that sinking feeling that the only reason the game continues is that it is the sole force of motivation in the plot, and not a paticularly strong one at that. The characters aren't paticularly strong as written, and the perform- ances can't take up the slack. Most of the gags in the movie are of the post- "Gremlins" variety of people freaking out over the goings-on, and various jun- gle beasts creating chaos. An odd response to the havoc is that the majority of the townsfolk begin looting once the game's effects are felt. The computer- generated effects, while polished and lively, aren't always very convincing when presented as real animals. I got the same feeling here that I got when I saw "The Mask" -- enjoyment of a lively effects sequence, followed by impa- tience for the next effects sequence as I sat through a rather arid plot. As the film (and game) reached a conclusion, the viewer is thrown a curve ball -- the game resolution is of a back-to-square-one quality that, while appropriate for a board game, was unsatisfying for me as it allowed more than one character to fix mistakes made earlier in the film. I've never liked this device all that much, and coupled with the generally uninvolving proceed- ings, really ended the film poorly. I felt the film was ultimately saying that you have to meet your parents more than halfway when things aren't going well; after all, they love you even if you never see it. Not recommended.
--
- Jeff "When I'm Finished With You, They'll Be Stumbling Over YOU In The Dark" Pidgeon
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.
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|
|
KERALEEYATAYUM MATTUM (P.K.BALAKRISHNAN’S UNCOMPILED ARTICLES)
|
This book is a collection of 20 articles published in various periodicals over a time. This book owes its origin to the efforts of a group of young men who got together to form ‘Pakshikkoottam Books’ and decided to have among others, one on P.K.Balakrishnan which they titled ‘The Heart of a Storm’. Though their project did not materialise, it resulted in this collection.
The articles included are:
1. Some Unbridled Observations on Kunjan Nambiar
2. Asan’s Poetic Essence and Problem of life and Death
3. Poetry of Kunjunni
4. On the essence of Kerala
5. Caste and Tribe
6. The Components of Advancement
7. A lead to the Origins of Sahodaraprasthanam
8. Backward Communities: A Lesson in History
9. Our Approach to Communalism
10. Kochappa Komma
Union (an article on the prevailing political approach to an unified Kerala
state, written-July 1953)
11. Today is August 15th
12. Some New Paternal Positions for Bappuji
13. Gandhiji and the Marxists
14. My Dear Kaliyanrathinam! You Live Long
15. An approach to Kuttipuzha
16. Tolstoy
17. Vyloppilli Sreedhara Menon
18. A Great Human being I Saw (on Prof. N. Krishna Pillai)
19. Parvathy Ayyappan
20. On Mathai Manjooran
Publishers:D C Books, Kottayam –686001, Kerala State,
India.
Published: August 2004.


How to Make Golf Grips Tacky Again
16th July 2020
Having slippery grips can be very inconvenient and could be detrimental to your game. You may consider
buying some new grips however with a simple trick you can make your old golf grips tacky again. And you
can play with confidence and with the knowledge that you can easily keep hold of your golf club. This is by far the
best way to clean golf grips, and make them more tacky.
You Need:
- Washing up liquid
- A scrubbing brush
- Some hot water
- A towel(ideally a golf towel)
Method:
- Run your grip under hot water for around 10secs until it is fully soaked in the water.
- Apply a generous amount of washing up liquid to your scrubbing brush. Don’t worry about putting too
much on brush, it won’t ruin your grip.
- Scrub your grip with brush for about 1-2 minutes until a thick lather has formed.
- Then whilst running the grip under the hot water, continue to scrub the grip for another 1-2
minutes. Making sure all the washing liquid is gone. Don’t be afraid to scrub your grip for even
longer, as this will only make it more grippy. It’s important that you make sure to get all the
washing up liquid off the grip, otherwise the residue will be left on the grip and it will be
slippery.
- Finally dry the grip with a towel until it is completely dry. Again make sure you dry it completely
otherwise some residue could be left on the grip which will leave it slippery.
FAQs
Will this method ruin my grip?
Absolutely NOT. The use of washing up liquid will clean the grip and remove any dirt. Then by scrubbing the grip, any dull layer of grip will be removed and scrubbed away so that the tacky part of the grip is left. Leaving you with a “brand new” grip.
Is there a golf grip tacky spray?
Yes there is. The Grip & Rip Golf Club Gripping Sports Spray is a spray that you apply to your hands to create more grip. Although it doesn’t make the grip more grippy, it indirectly solves the problem and it’s a cost effective way of having more grip to our golf club.
What is the tackiest golf grip?
Many golf grips will provide sufficient grip however the Golf Pride Multi Compound Grip is probably the best value for money whilst being very grippy.


I am a mobile in portrait orientation
I am a mobile in landscape orientation
I am a tablet in portrait orientation
I am a tablet in landscape orientation (or a desktop)


Hi there Introduction to Gato instructors,
Plain User1, one of the students in your upcoming "Introduction to Gato" class on Saturday, June 2, 2035, 7:00AM - 8:00AM, has removed his previous request for special accommodations.
If you have any questions, you can reach Plain User1 at pu12345@dev.nul.


class Doctrine\DBAL\Types\TypeRegistry
The type registry is responsible for holding a map of all known DBAL types.
The types are stored using the flyweight pattern so that one type only exists as exactly one instance.
Construction
Hierarchy
Constants
Properties
Methods
-
__construct ($instances = []) : void
Parameters array $instances = [] Return void -
get ($name) : Doctrine\DBAL\Types\
Type Finds a type by the given name.
Parameters string $name Return Doctrine\DBAL\Types\ Type Throws Doctrine\DBAL\ Exception -
lookupName ($type) : string
Finds a name for the given type.
Parameters Doctrine\DBAL\Types\ Type $type Return string Throws Doctrine\DBAL\ Exception -
has ($name) : bool
Checks if there is a type of the given name.
Parameters string $name Return bool -
register ($name, $type) : void
Registers a custom type to the type map.
Parameters string $name Doctrine\DBAL\Types\ Type $type Return void Throws Doctrine\DBAL\ Exception -
override ($name, $type) : void
Overrides an already defined type to use a different implementation.
Parameters string $name Doctrine\DBAL\Types\ Type $type Return void Throws Doctrine\DBAL\ Exception -
getMap () : array
array<string, Gets the map of all registered types and their corresponding type instances.
Parameters Return array array<string, Type>


Only use this option if you are sure you want to destroy infrastructure that you have created with Terraform
This feature is desirable if you are setting up temporary development, testing/qa environments.
Once the build is complete, if this option is selected, all infrastructure stored in the tfstate will be destroyed.
For more information, see: Destroy Infrastructure.


ExPie transaction fees
Transaction fees list
Transaction pairs
Transaction fees
Note:
Tranacrion fees will be deducted from the received assets. 50% of fees for VIP users.


| Constructor and Description |
|---|
LeafTile(int depth,
int location,
int parentStartRow,
int parentStartCol) |
| Modifier and Type | Method and Description |
|---|---|
int |
getDepth() |
int |
getLocation() |
int |
getStartCol() |
int |
getStartRow() |
boolean |
isLeaf()
Returns a boolean value based on data type
|
LeafTile |
merge(InternalTile parent,
InternalTile grandparent,
LeafTile l)
Merges four sibling tiles into a single leaf tile.
|
Tile |
rotate(InternalTile parent,
int location)
Rotate is a method called only on internal tiles.
|
void |
setLocation(int i) |
InternalTile |
split(InternalTile parent)
Split divides tile into four leaf tiles.
|
LeafTile |
swap(java.lang.String s,
Tile root)
Swap exchanges the location of the tile with an adjacent tile.
|
public LeafTile(int depth, int location, int parentStartRow, int parentStartCol)
public int getStartRow()
public int getStartCol()
public int getDepth()
public int getLocation()
public void setLocation(int i)
public LeafTile merge(InternalTile parent, InternalTile grandparent, LeafTile l)
public Tile rotate(InternalTile parent, int location)
public boolean isLeaf()
Tile
public InternalTile split(InternalTile parent)


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A Description of the PIRCS Betatest Dataset and the Documentation of the Procedures used in its production.
Last revised April 2, 1997
In November 1994, 35 people representing 17 models (mainly mesoscale)
from several countries gathered in Ames, Iowa to discuss the organization of
a project to compare seasonal simulations by mesoscale models run in climate
mode (Takle, 1995). This meeting was the genesis for the Project to
Intercompare Regional Climate Simulations (PIRCS). A report of this
meeting which includes the project's mission statement can be found at
http://www.physics.iastate.edu/atmos/mesowkshop.html.
Part of the PIRCS mission statement reads as follows:
"To advance the status of regional climate modeling by evaluating the
strengths and weaknesses of limited-area models and their component
procedures through systematic, comparative
simulations ...
A useful approach for improving regional simulation by limited-area models is the comparison of simulations produced by different models with each other as well as with available observations. Strengths and weaknesses of model structures, numerics and parameterizations can be assessed side-by-side. The utility of model intercomparisons is greatly enhanced if the models operate under the same external constraints, such as dynamic and radiative input across model boundaries. To this end, participants in the Project to Intercompare Regional Climate Simulations (PIRCS) will perform a common set of simulations with limited-area models and produce a common output set, both designed to highlight strengths and weaknesses of individual models and of this general approach to simulating regional climate."
The design of the initial PIRCS experiment - the objective of which is to fulfil partially the mission statement - is described at the PIRCS website (http://www.physics.iastate.edu/atmos/pircsex1.html). Essentially, the first experiment requires that the participating groups conduct a 2 month summer simulation for 1988 over the US. As the mission statement suggests, the same initial and lateral boundary conditions are to be used by all participating groups since significant sources of variation between the models need to be isolated. This requirement dictates that there be a 'standard' PIRCS dataset and that there be a coordinated distribution of this dataset to all project participants. As it turns out - for technical reasons - 4 standard datasets have been produced for the 2 month period.
This document describes the procedures used in preparing the dataset(s) and in distributing it to the project participants. Note that for preliminary testing purposes (i.e., beta testing), a 5-day subset of the data set will be distributed to those groups wishing to assess the feasibility of their participation in PIRCS.
To aid the discussion of the procedures relating to the preparation of the PIRCS BETATEST DATASET the times and domains for which they are available are described below.
The data are for every 6 hours from 00 UTC 1 July to 00 UTC 6 July 1988.
There are three domains for which the data is available:
Fig. 2.1 - The PIRCS 60-km polar stereographic grid. Every second grid point of the inner domain is marked with a +; every second grid point of the outer domain (forcing frame) is marked with a o. Orientation of the inner domain: Central point (X_28, Y_41) (37.50 N, 100.00 W) Lower left corner (X_1 , Y_1) (23.07 N, 117.79 W) Upper right corner (X_55, Y_81) (45.41 N, 70.50 W).
Fig. 2.2 - The PIRCS 1/2-degree latitude-longitude grid. Every second grid point of the inner domain is marked with a +; every second grid point of the outer domain (forcing frame) is marked with a o. Orientation of the inner domain: Central point (LAT=26, LON= 51) (37.5 N, 100.0 W) Lower left corner (LAT= 1, LON= 1) (25.0 N, 125.0 W) Upper right corner (LAT=51, LON=101) (50.0 N, 75.0 W)
Note, in order to create the dataset for domain(ii), a domain that encompassed (ii) and which was a super-set of domain (iii) was temporarily in use.
Note, for the limited domains, the forcing frame is extended by 10 grid points in each direction. Thus for domain (ii), the forcing frame plus the interior simulation is a 101(E-W) x 75(N-S) grid (with the same center point and grid spacing as the inner domain) and for domain (iii) the forcing frame plus the interior simulation domain is a 121(E-W) x 71 (N-S) grid with a SW corner at (20 N, 130 W), and a NE corner at (55 N, 70 W). Files are provided which provide the latitude/longitude coordinate of each I,J point for each domain.
For the initial time (00 UTC 1 July) the data is provided at all grid points on the outer domain. For all other times the data is provided at the grid points which are in the forcing domain, but outside of the inner simulation domain (indicated by o in the figures)
The PIRCS dataset is derived from the NCEP Reanalysis Project dataset (Kalnay, 1996). The data for 1988 were obtained from the Data Support Service (DSS) at the National Center for Atmospheric Research (NCAR). Information about the NCEP Reanalysis Project dataset appears at the URL ftp://ncardata.ucar.edu/datasets/ds090.0 . A brief description of the NCEP spectral model and assimilation procedures used to create the Reanalysis dataset are described in Kalnay et al. (1996). PIRCS used the 'grbsanl' dataset (a subset of the NCEP Reanalysis dataset). For this subset, the data were on a T62 gaussian transform grid (192x94 grid points) at 28 sigma levels ranging from sigma = 0.00273 to sigma = 0.9985. The longitudinal spacing for the gaussian grid was 1.875 degrees and the gaussian latitudes, as well as the sigma levels, can be obtained from the ds090.0 website. The grbsanl dataset was distributed on 8 mm exabyte tapes, which are labeled as follows:
Vol S26018 for January-June, 1988, Vol S26019 for July-December,1988, Vol S26006 for January-June, 1993, Vol S26007 for July-December,1993.
Inventory sheets for these tapes are attached; see section 8 for instructions regarding extraction of the files from the tape. Once the files are extracted, they have to be 'degribbed' before processing. The degribbing code is on pv14b1.vincent.iastate.edu in /local/users/rwturner/GRIBalpha, and is available, upon request, by anonymous ftp from this machine. Instructions on file retrieval from anonymous ftp sites are also given in section 8. (Throughout this document references are made to files at /local/users/rwturner. These are intended for internal use at Iowa State, but most can be made available upon request). A URL where information about GRIB messages can be obtained is ftp://nic.fb4.noaa.gov/pub/nws/nmc/docs . To degrib (or unpack) the data for each time period, an inventory of the PDS's (product definition sections) for each field you want unpacked has to be created. You can do this by formatting the unpkgrb1.dat file as follows, assuming the time period is 12 UTC 2 July 1988, and the grbsanl file is stored in the directory /PIRCS/NCEPgrbsanl
90000/PIRCS/NCEPgrbsanl test1.dat FFFFFFFF 00000000 00000000 00000000 00000000 00000000 00000000 0and executing the command unpkgrb1.x > inventory
The inventory file will contain PDS's for 172 fields of different variables (fields are horizontal slices along constant levels). Stackpole (1994) details the WMO format of the GRIB (edition 1) messages, and this can be consulted to decode the PDS's to determine which GRIB records need to be decoded. For PIRCS purposes the the required fields were T, q, u, and v at all 28 sigma levels as well as surface pressure and surface geopotential. Once the needed PDS's are determined, a new unpkgrb1.dat file has to be created - in which all the necessary PDS's are included. The format of this file is as follows:
10000/PIRCS/NCEPgrbsanl test1.dat 00001C02 0750FF80 0B6B26DE 5807020C 00010000 0A000000 14000001 0 00001C02 0750FF80 0B6B265D 5807020C 00010000 0A000000 14000001 0 .................. Var Sig Date .................. 00001C02 0750FF80 01010000 5807020C 00010000 0A000000 14008001 0 00001C02 0750FF80 07010000 5807020C 00010000 0A000000 14000000 0 FFFFFFFF 00000000 00000000 00000000 00000000 00000000 00000000 0
It isn't necessary to create new inventory files for all time periods
if you edit the date octet as appropriate in the 2nd unpkgrb1.dat
file listed above (i.e., the one with all the needed PDS's
already listed). Be aware the record is in hexadecimal
so 88070212 is 5807020C. Some useful hexadecimal-to-decimal
equivalents are:
00H=00D, 01H=01D, 02H=02D, 03H=03D, 04H=04D, 05H=05D, 06H=06D, 07H=07D, 08H=08D, 09H=09D, 0AH=10D, 0BH=11D, 0CH=12D, 0DH=13D, 0EH=14D, 0FH=15D, 10H=16D, 11H=17D, 12H=18D, 13H=19D, 14H=20D, 15H=21D, 16H=22D, 17H=23D, 18H=24D, 19H=25D, 1AH=26D, 1BH=27D, 1CH=28D, 1DH=29D, 1EH=30D, 1FH=31D, 20H=32D, 58H=88D, and 5DH=93D.
To create the output file test1.dat containing all the required fields,
simply execute the command
unpkgrb1.x
The file test1.dat is then used for input by the routines
that create the PIRCS dataset. Note, the programs in
/local/users/rwturner/ncargraphics/global.conpack can be used
to plot the degribbed reanalysis data.
Assuming the NCEP reanalysis data have been unpacked correctly for all 28 sigma levels, they are then converted from the T62 Gaussian Grid to spectral coefficients. After the spectral coefficients have been computed the data are converted back to the PIRCS regularly spaced grids, domain (i) grid and sup-(iii), where sup-(iii) is a super set of domain (iii) that encompasses domain (ii). A bilinear interpolation [see Manning and Haagenson (1993) for details] is used to interpolate the data from sup-(iii) to domain (ii). Note, since the dimensions of domain (i) and (iii) are different, two slightly different sets of codes are maintained in two directories (/local/users/rwturner/gsm and /local/users/rwturner/gsm.hi). These codes are adapted from a global spectral model (GSM) that has been documented in Bourke (1974) and Nehrkorn and Hoffman (1985).
The file containing the Fortran code (there are many subroutines in this file) in which the conversion to and from the spectral coefficients is done is called gtend.f. Given the structure of the gtend.f routines, and a thrashing problem (swap space problems due to huge size of data arrays), it was more convenient to perform the vertical interpolations within the subroutine laloop. The vertical interpolation procedures are described in the next section.
b) Vertical Interpolation and ExtrapolationVertical interpolation from the 28 sigma levels to the 42 regularly spaced PIRCS pressure levels (every 25 mb from 25 mb to 1050 mb) is done within the laloop subroutine, and is based on a linear-in-ln p interpolation. The code for this was adapted from the sig2prs (sigma to pressure) subroutine of the INTERP which is an MM5 preprocessing program. This was done for all variables, except for specific humidity, q, which was first converted to relative humidity (RH). RH was then interpolated as for the other variables, except it was subject to the constraint that 0 < RH < 97%. Note, in computing RH, saturated vapor pressures were computed using a look-up tabular method used at NCEP.
For PIRCS pressure levels that were below the analysis surface (i.e., for pressure levels greater than the analysis p_sfc), extrapolation of the variables had to be done. The wind components u and v were set equal to u(sigma=28), and v(sigma=28) respectively. Temperature, T, was extrapolated along the moist adiabat that intersected T(sigma=28), and RH was extrapolated subject to the constraint that q was constant and equal to q(sigma=28). Reasons for the adopting the extrapolation procedures described above are elaborated upon in section 6. Once T and RH were known for all levels, q was calculated. Figures 4.1a (0.0176 MB), 4.1b (0.0175 MB), 4.1c (0.0175 MB), and 4.1d (0.0172 MB), show some initial NCEP reanalysis soundings over the PIRCS domain, and the resultant interpolated/extrapolated soundings. Note, there is some loss of information within the boundary layer and some smoothing of the profiles.
Some participants have requested that geopotential data be provided every 50 mb as part of the data-set. These data will not be distributed with the PIRCS data set, but will be available upon request. The geopotential was computed as follows: the surface geopotential (which is also the analysis topography) was part of the NCEP reanalysis data-set.
Geopotential heights were computed at each of the 28 levels through integration
of the hypsometric equation, i.e.,
where "T_v bar" is the average (in ln p) virtual temperature of the k+1 -- k layer.
Note; T_v = T (1 + 0.61q), and T and q are known at the sigma levels, and p_k = sigma*p_sfc,
where K = 1,..,28 with sigma(1) = 0.0027 and sigma(28) = 0.9985. Note for k=28,
geopotential was computed as follows,
In order to compute T_v in the surface to sigma=28 layer, the surface temperature and
specific humidity have to be estimated, q is set to the value at sigma=28 and
T is linearly interpolated in ln p between the pressure level at sigma=28
and the PIRCS pressure level immediately below the surface.
A linear in ln p interpolation is then done to get at the required pressure levels (i.e., every 25 mb from 25 mb to 1050 mb) above the surface. To get the geopotential at pressure levels below the surface, downward integration of the hypsometric equation is done using the values (previously extrapolated to the pressure levels) of T and q. Finally, after geopotential has been computed everywhere, some horizontal smoothing of the extrapolated values is done. Plots of the 850 mb and 1000 mb geopotential heights for 00 UTC 1 July 1988 are provided in Figures 5.1 (0.0170 MB), and 5.2 (0.0143 MB). When the Shuell method (an NCEP technique) was used to extrapolate temperatures a diurnal bias over the high terrain was evident (in regions of high terrain, heights below the surface were too large when a nocturnal inversion was present)
Surface pressure (Analysis p_sfc) will be distributed as part of the PIRCS analysis data set. Surface pressure was distributed as part of the NCEP reanalysis dataset, and it was fit to the PIRCS domains (i.e., (i), (ii), and (iii)) using the procedures described previously in section 4.a. However, since most PIRCS participants will have their own model topography (or model surface geopotential), which will be more detailed than the analysis topography (i.e., analysis surface geopotential - which is provided by PIRCS), a method for computing a model's surface pressure (Model p_sfc) is needed.
Participants are urged to adopt the procedure outlined below for the purposes of the
intercomparison in order to eliminate unnecessary sources of variation among the models. Code
for the procedure is included in the distributed dataset (part of indat_gen.f).
If anyone notices a problem with this
method or can suggest improvements, please contact us.
The procedure is as follows:
Letting DEL Z = Model surface geopotential - Analysis surface geopotential (as in Fig. 6.1)
and by use of the hypsometric equatioa,n an expression for
Model p_sfc can be obtained as:
where Del Z' is given by
Here T_v can be replaced with an average virtual temperature for each layer (as was done in the
geopotential calculation). Note, p_k are the PIRCS pressure levels that lie within the interval
[Model p_sfc, Analysis p_sfc] and an initial guess for the Model's
p_sfc has to be made, so that p_1,...,p_n can be determined and an estimate of the average virtual
temperature in the Model p_sfc - p_1 layer can be made. The initial guess for Model p_sfc is
assumed to be (Analysis p_sfc-(Del Z/9)).
A similar method is used to compute mean sea level pressure (p_msl). All that is required is that the Model surface geopotential = 0, so DEL Z= - Analysis Surface geopotential and p_1 has to be replaced by 1013.25 in Eq. 6.2. Sample calculations were carried out for domain (ii) with a terrain dataset from MM5. Plots of Model p_sfc and p_msl are for 00 UTC 1 July 1988 are provided in Figures 6.2 (0.0181 MB), and 6.3 (0.0146 MB). Note, for the MM5 terrain dataset, the magnitude of DEL Z was as large as 800 m over the high terrain of the Rockies. For the forcing frame, DEL Z became large over the southern Mexico mountain ranges and over the Canadian Rockies. ( Figure 6.4a(0.0172 MB) shows the analysis topography and Figure 6.4b (0.0173 MB). shows the MM5 topography.) Note, that the necessity of removing diurnal biases in psfc_M and p_msl dictated the extrapolation method for temperature described in section 4b. For example, attempts to preserve nocturnal inversions resulted in unrealistically high values of Model p_sfc (or p_msl) when DEL Z was large and negative (i.e., when the model's topography was well below the analysis topography). This was the reason for extrapolating temperature down the moist adiabat. The mesoscale models will develop their own inversions within the interior of the simulation domain, but it may be of interest to determine the sensitivity of the regional climate simulations to the temperature extrapolation method; i.e., what problems do we encounter if we rigorously preserve boundary layer features of the NCEP Reanalysis? Recall, a regional climate simulation does not have the same constraints as a forecast simulation. For example, contamination by errors in the boundary conditions that affect the timing of rainfall, but not the overall amounts, may not be as important in a climate simulation.
The NCEP reanalysis July 1988 monthly averaged surface temperature fields, along with gridded Great Lake temperature values (supplied by the Climate Research Branch, Atmospheric Environment Service, Downsview, Ontario) were used to create the PIRCS gridded sea surface/lake temperature data. For the SST's this was done using a similar procedure (but without the vertical interpolation step) to what was done for the temperature at the pressure levels. Spectral coefficents were computed from the T62 gridded data, and from these coefficents the fields for each of the three domains were computed. The procedure for computing the lake temperatures was to compute the July average of the lake surface temperatures at the supplied points, then to use a Cressman scheme to interpolate to the PIRCS domains. The computed lake temperatures were then blended with the surface temperature fields already created. Since each participating group will have a different land/sea mask (or Great Lakes/land mask), values of surface temperature are provided for each grid point. Note that the PIRCS supplied land use files LNDF60k.88070100 and LNDF0p5.88070100 can be used to provide a land/ocean mask (7 = Ocean/Lake, all other numbers = Land) for those that need it. ( Figure 7.1(0.00833 MB) shows the SST field for PIRCS domain (iii).
The initial soil-moisture fields are provided in the form of a surface
moisture availabilty (m). This gridded soil moisture data were
obtained from the June 1988 NCEP reanalysis volumetric soil-moisture content
in the uppermost 10 cm layer of the soil.
The algorithm to obtain m from the volumetric soil-moisture content (eta)
is as follows:
where (eta_s) is the volumetric soil moisture at
field capacity and (eta_a) is the volumetric
soil moisture at wilting point.
The soil-moisture
availability fields are in the files named SMAP60k.88060100 and
SMAP0p5.88060100, and the field for PIRCS domain (iii) is shown in
Figure 7.2(0.00833 MB).
When participants initialize their model,
they must impose a constant soil moisture profile.
8 - DATA PACKING
The dataset for domain (i) is in /PIRCS/BETA.RELEASE/tarGLOBAL
The dataset for domain (ii) is in /PIRCS/BETA.RELEASE/tarPSTDOM
The dataset for domain (iii) is in /PIRCS/BETA.RELEASE/tarREGDOM
where /PIRCS is a drive attached to pv14b1.vincent.iastate.edu. Access
to this drive is available through anonymous ftp (once you are logged into
anonymous.rwturner, cd to PIRCS).
The variables provided are surface pressure, T, q, u, & v. They are provided every 25 mb from 25 mb to 1050 mb. Also provided are fields of the NCEP analysis topography for all domains and topographic datasets for the limited domains (ii) and (iii). The latter were derived from a 30 minute dataset, and they have more detail than the analysis topography. Land-use datasets are also provided for each of the limited domains, as well as global SST's, soil moisture for the limited domains, and the Great Lakes surface temperatures.
Note that it is up to the participant to determine which PIRCS dataset suits their needs best. It is recommended that participants use a bilinear interpolation method to interpolate the PIRCS grid-point data to their own model's grid. A bilinear interpolation subroutine based on bint.f (described in Manning and Haagenson, 1992) is part of program indat_gen.f included in the distributed dataset. Various programs that read the files containing the data are available. Hopefully these programs are designed so that they can be easily adapted by the participants in their efforts to convert the LBC's to their specific model configuration. These codes are in /PIRCS/BETA.RELEASE/tarCODE. A listing and brief description of each program is included in the README file of the directory READ.CODE (the directrory which the files are in, when tarCODE is untarred).
The data are packed in integer format, and are in slices ('horizontal') of constant pressure. (25 mb being first, 1050 being last.) The data are ordered as follows: surface pressure (Variable code 001; units Pa), temperature (011; K), specific humidity (051; kg/kg), u component of the wind (033; m/s), and the v component of the wind (034; m/s). This code "unpacks" the data, as they are stored in a positive integer format; i.e., for each field (horizontal slice) a maximum value is determined, and this (and every other data point) is multiplied by some scale factor to ensure that the desired number of significant digits are to the left of the decimal point. The original data are extracted by subtracting the stored data from the base value and then dividing by the scale factor. The space requirements are minimized through the storage of data as positive integers. To further minimize the space requirements, data were compacted using the standard UNIX "compress" (a modified Lempel-Ziv algorithm popularized in Welch, 1984) command. While this choice of packing procedure is not a meteorological "standard" like GRIB or BUFR, we think that fewer problems will be experienced in the short term. At a later point, we could convert the dataset to a BUFR or GRIB format, but at this point we want to minimize portability problems due to non-standard machine representations of unformatted data.
For each 'horizontal' slice the data are ordered as follows, as you look at it on the screen
(Note, this applies for the ordering of the forcing data as well.)
SW Corner (1,1) .........................(XMAX,1) SE Corner (1,2) .........................(XMAX,2) ...........(I,J)............... ............................... NW corner (1,YMAX).......................(XMAX,YMAX) NE CornerNote, in the read program, the I index is E-W, and the J index is N-S.
We also provide a sample write program (to be adapted by the user) that we would like participants to use when packing the model output that PIRCS requires to be returned. To test this write program (which users will adapt for their needs) we have included programs that can read the packed format. These are similar to the programs that read the provided LBC data. We urge participants to test the reading of their model output files with these programs before they return them to Iowa State.
These codes are in /PIRCS/BETA.RELEASE/tarCODEHow to get files off an exabyte tape (assuming tape is fully rewound and
in the drive).
mt -f /dev/nrmt2a fsf q-1
tar cvf /dev/nrmt2a ./grbsanlyymmddhh
mt -f /dev/nrmt2a offline
Here q is the tar file in which the grbsanlyymmddhh file resides.
For example for 00 UTC 15 June 1988, the tape is Vol S260018, it is in file 11,
so to position the tape in order to extract this file the command
mt -f /dev/nrmt2a fsf 10
has to be executed first.
How to ensure you do not write over files on exabyte tape when backing up new files.
Put tape (assuming that we start with a new tape) in exabyte tape drive
mt -f /dev/nrmt2a rewind
tar cvf /dev/nrmt2a tarfile1
mt -f /dev/nrmt2a rewind
mt -f /dev/nrmt2a fsf 1
tar cvf /dev/nrmt2a tarfile2
mt -f /dev/nrmt2a rewind
mt -f /dev/nrmt2a fsf 2
tar cvf /dev/nrmt2a tarfile3
etc.
Record what you have backed up at each file position. Supposing you back up N files, the next time
you want to place files on the tape,
mt -f /dev/nrmt2a rewind
mt -f /dev/nrmt2a fsf N
tar cvf /dev/nrmt2a newtarfile
README (contains information similar to what is in this document) REGISTER (participant registration form) tarCODE (tar file contain code to read the data files, also some interpolationm routines) and one of the following tarGLOBAL (contains data on PIRCS domain (i)) tarREGDOM (contains data on PIRCS domain (ii)) tarPSTDOM (contains data on PIRCS domain (iii)) (depending on which set of LBC's are appropriate for your model)
Of course, we at ISU had to cheat a little and get a bit of a headstart on everyone else, so we've already completed a 5-day run. Actually it wasn't cheating, but we felt it was better if we conducted an "alpha" test of the procedures just to iron out the major flaws in the procedures, and to generate some solutions to problems that may have been previously ovelooked.
Some preliminary results are presented here.
( Figure 11.1(0.00833 MB) shows the time series of
the domain averaged temperature for the BETAtest period as simulated by
REGCM2, and
( Figure 11.2(0.00833 MB) shows the time series of
the domain averaged wind speed. Figure 11.3 (below) shows the simulated
precipitation for the period.
Fig. 11.3 - Total rainfall (mm) for the 5 day period from 00 UTC July 1 to 00 UTC July 6, 1988 as simulated by REGCM2 using the PIRCS BETAtest dataset.
It has been our experience that a 5 day integration of REGCM2 (see Giorgi, et al., 1994) configured for the PIRCS domain takes about 17 hours of cpu time on a DEC AXP 3000 workstation with 32 MB of assigned memory, and 32 hours with 10 MB assigned.
The user of the BETAtest dataset should also be aware that the provided variables are not stagggered, i.e., they are all at the same location. Due to the fact that participant models will use staggered grids horizontally (and vertically) the width of the forcing zone will differ between models. For example, for the Arakawa B grid, the width for T and q will be 8 grid spacings, but 9 for U and V.
The following individuals are thanked for their help Chi-Fan Shih and Dennis Joseph of the DSS at NCAR, Masao Kanamitsu at NCEP, James Caveen and Clement Chouinard (Canada - COMPARE) Thanks also to Ewa Milewska of the Climate Research Branch Atmospheric Environment Service, Downsview, Ontario who supplied the Great Lakes Temperature data. Partial suupport was provided by IITAP and the Center for Global and Regional Environmental Research, Univ. of Iowa. ,


البدء السريع
The Quick Start tab provides you with an easy way to quickly test a web application.
The top screen shows 3 buttons that take you to the following screens.
Automated Scan
The Automated Scan screen allows you to launch an automated scan against an application - just enter its URL below and press 'Attack'.
Please be aware that you should only attack applications that you have been specifically been given permission to test.
URL to attack
This is the URL of the application you wish to attack, starting with 'http://' or 'https://'.
ZAP must be able to access this URL for the attack to proceed.
Use traditional spider
The traditional spider explores the application by finding links in HTML pages.
It is very fast but cannot handle applications which make heavy use of JavaScript.
Use ajax spider
The ajax spider explores the application by launching the browser you have chosen and clicking on the links it finds.
Is is slower than the traditional spider but handles JavaScript well.
This option is only shown if the ajax spider add-on is installed.
If it is not available then you can download and install it for free from the ZAP Marketplace.
Manual Explore
The Manual Explore screen allows you to launch the browser of your choice so that you can explore your application while proxying through ZAP.
Select the browser you want from the pull-down and press the 'Launch Browser' button.
Browsers launched this way will be configured to proxy via ZAP and will ignore certificate errors,
so you will not need to import the ZAP Root CA Certificate.
ZAP will remember the last browser you chose when you restart it.
A button will also be added to the toolbar which will launch the latest browser chosen.
The icon will change to represent the relevant browser
Note that launched browsers will stop working if you change the address or port that ZAP is listening on.
If you do not have selenium add-on installed then you will see instructions for configuring your browser
to proxy via ZAP manually.
URL to explore
This is the URL of the application you wish to explore, starting with 'http://' or 'https://'.
ZAP must be able to access this URL.
Enable HUD
The ZAP Heads Up Display (HUD) brings all of the essential ZAP functionality into your browser.
It is ideal for people new to web security and also allows experienced penetration testers to focus on an application's
features while providing key security information and functionality.
This option is enabled if the HUD add-on is installed.
If it is not available then you can download and install it for free from the ZAP Marketplace.
Learn More
The Learn More screen provides links to local and online resources for you to learn more about ZAP.
News
Occasional news items will be displayed underneath the 3 buttons. Clicking on the red 'x' will hide the current news item.
See also


Jamie Nguyen
About Me
Portfolio
Contact
Let's Get in Touch!
I would love to hear from you.
NAME
EMAIL
SUBJECT
MESSAGE


System Requirements
Software
Eurex Clearing PME is a standalone Java library. It requires Java SE 7 or later. However, for new application development, we highly recommend using Java 8, as it will be required in a future version of the Eurex Clearing PME. Java 7 will be supported until at least November 2016.
Supported operating systems include, but are not limited to:
- Microsoft Windows 7 and later
- Apple Mac OS X Yosemite and later
- Microsoft Windows Server 2008 R2 and later
- Linux (Fedora 21 or later; CentOS 6 or later)
Hardware
The library has been designed to operate within certain performance targets, on commodity server hardware, with 8 GB of Java heap space and a market data environment fully populated with a single day’s OTC and ETD data.
Each complete day of loaded market data requires around 4 GB of heap space, although it may not be necessary to load the full set of data depending on the portfolios being analysed. For example, the large theoinst
file providing theoretical prices for ETDs may be filtered before being loaded to exclude ETDs which will not be required.
Runtime performance is parallelized, and so is highly dependant on the number and speed of the CPU cores available to the library, particularly for OTC trades in a full-revaluation calculation configuration.
OpenGamma regularly runs performance benchmarks on what we have found to be a typical server used by our customers for production, server-side implementations. This hardware specification is:
- 16 cores (2 Intel Xeon E5-2650 CPUs, each with 8 cores running at 2.0GHz)
- 8 GB of heap (4 GB allocated to one day’s total OTC, ETD, and Cross-Margining market data, plus 4 GB working space)
This configuration permits calculation of IM on a 1,000 swap portfolio (full revaluation) in under 15 seconds, and calculation of IM on a 1,000 ETD portfolio in under a second.
It is possible to use the library in a more memory-constrained environment, but performance may be less than optimal depending on the working heap space available.


Across: 1,9,12. We that never fit see tortuous 27 smarts? (4 5 3 5) 6. Dull comrade embraces model (5) 9. see 1 10. Very French death in the wrong place (11) 11. Draws rare deal in reverse (9) 12. see 1 13,14. see 1dn 16. Pulls rank above the law? (9) 18. Profundity of the professional development material (5) 19. The pointy bit has a right stench about it (5) 21,27. Charity do for looking 11 lets us be 1 9 12 (7 2 9) 24. Wild roar tells me it could flatten me (11) 25. Too much ecstasy in such a composition (3) 26. Depicted as gaunt (5) 27. see 21 Down: 1,13ac,14ac. Ancient history of a river perhaps (5 5 3 6) 2. Split desk in order to confuse (9) 3. Peace-loving want IRA out (7) 4. Time with prince belonging to others (5) 5. Get back with gang in topless dress (9) 6. Therapist regrets Sam's return (7) 7. How to think about a foolish undertaking? (5) 8. Tie height adjusted for senior's birthday party (9) 13. Crazy do opens up with noone objecting (9) 14. The occupant collects cash blotto - hot stuff! (9) 15. Quick swim with high and very skimpy bathers yields "oh!" "ay!" etc. (9) 17. Routine troops follow with respect to US soldier (7) 18. Strange meds for changes in shape (7) 20. Production of nothing for each one (5) 22. Zany loner provides modern material (5) 23. Some boats are fast (5)


Cleave
A savage melee axe attack that strikes twice, landing both hands each time for a total of four hits.{^n}{^y}Axe required.
Axe
${value}% Chance to be Used
8 9 9 10 10 11 11 12 13 14 14 15
Launches ${value} Projectile(s)
1
${value} Target Maximum
3
${value}° Arc of Attack
45
+${value}% Bleeding Damage
70 85 100 115 130 145 160 175 190 205 220 245
MaxLevel
8
UltimateLevel
12


The jQuery UI tabs widget is bundled unchanged with jQuery Mobile. Thus, its API documentation fully describes its functionality.
When used with jQuery Mobile's autoinitialization features, the options documented on the widget's API documentation page can also be provided as data-*
attributes in the markup. You can add the data-role="tabs"
attribute to your tabs widget markup to indicate that the element is to be turned into a tabs widget.
jQuery Mobile provides an extension to the tabs widget (tabs.ajax
). The extension provides no new API, however, it modifies the way in which the widget evaluates whether displaying the content referred to by the href
attributes of the links that play the role of tabs requires retrieval via Ajax. It is necessary to include this extension if your project consists of multiple external jQuery Mobile pages, one of which features a tabs widget.


Welcome to the Metadata Assessment Toolkit, a project of the Digital Library Federation (DLF) Assessment Interest Group (AIG) Metadata Working Group, also known as the DLF Metadata Assessment Working Group. As a member of the DLF community, we abide by the DLF Code of Conduct.
The DLF AIG Metadata Working Group collaboratively builds guidelines, best practices, tools and workflows around the evaluation and assessment of metadata used by and for digital libraries and repositories. We want to support discussions on what metadata assessment means, sharing of our efforts and approaches, how we perform metadata analysis, and why metadata assessment is important.
The DLF AIG Metadata Working Group works on high-level outputs that a wide-number of digital cultural heritage repository users can implement for metadata assessment. This group does not offer prescriptive recommendations for metadata (using one schema versus another, or comparisons of controlled vocabularies, etc.), but rather focuses on how (both functionally and to what possible metrics) to measure, evaluate and assess the metadata as it exists in a variety of digital library systems. We hope our toolkit lends itself to performing your own assessment, being able to understand the results, and then decide a pathway for metadata enhancement - if that is your goal. Metadata assessment can also give you new insights into your collections and data beyond quality control, and we address that aspect as well.
“This toolkit provides a plain language, high-level framework for assessing descriptive metadata in digital collections. Due to the wide range of digital collections, users, and institutions, the guidance outlines a general path to assessment, followed by more tailored paths for a set of use cases, without reference to particular schema or vocabularies.“
Right now, the DLF AIG Metadata Assessment Working Group Toolkit focuses primarily on Metadata Assessment for understanding mostly descriptive metadata needs and pain points. This was the largest and most documented need area for this Toolkit.
However, we do not limit ourselves to only digital repository, descriptive metadata assessment. As our group’s work builds out, we hope to cover:
- other types of metadata (structural, administrative, technical, …);
- assessment of the utility and importance of metadata as well as the qualitative state of metadata currently used;
- and metadata beyond the digital repository.
The work areas of the 2018 DLF Metadata Assessment Working Group are:
- Restructure and document the MWG website
- Review and revise the Metadata Analysis Workshop
- Work towards creating a metadata analysis tools repository
- Begin discussion on creating general benchmarks for metadata quality. This area of work may include gathering tools and methods for measurement of metadata quality, defining benchmarks, and establishing a platform for topic discussion
The work areas of the 2017 DLF Metadata Assessment Working Group are:
- Update structure of the Github site created for last year’s Environmental Scan to support expansion and ongoing work.
- Create mechanism for people to submit updates & feedback.
- Review and expand list of metadata assessment tools gathered as part of the Environmental Scan.
- Begin testing tools gathered as part of the Environmental Scan in order to eventually create a repository for metadata assessment tools.
- A Metadata Application Profile Clearinghouse that can be used as a community repository for application profiles, mappings and guidelines for metadata.
- Create a general framework document on how to assess metadata that can be used for the glam community.
- Collaborate with other institutions on metadata assessment and analysis workshop work.
The work areas of the 2016 DLF Metadata Assessment Working Group were:
- performing an environmental scan on the topic of metadata quality and assessment;
- gathering use cases and definitions for metadata assessment needs and realities;
- creating a preliminary framework and set of recommendations on metadata assessment.


Father Name
Md Abul Kashem
Mother Name
Aleya Begum
Address
West Madarbari, 1no Lane, Chittagong, Bangladesh.
Cell
+880 1826-696318
Back


T
- the type of values to write.public abstract static class FileBasedSink.Writer<T>
extends java.lang.Object
FileBasedSink
. Subclass
implementations provide a method that can write a single value to a
WritableByteChannel
.
Subclass implementations may also override methods that write headers and footers before and after the values in a bundle, respectively, as well as provide a MIME type for the output channel.
Multiple FileBasedSink.Writer
instances may be created on the same worker, and therefore
any access to static members or methods should be thread safe.
| Constructor and Description |
|---|
Writer(FileBasedSink.WriteOperation<T> writeOperation,
java.lang.String mimeType)
Construct a new
FileBasedSink.Writer that will produce files of the given MIME type. |
| Modifier and Type | Method and Description |
|---|---|
void |
cleanup() |
FileBasedSink.FileResult |
close()
Closes the channel and returns the bundle result.
|
protected void |
finishWrite()
|
FileBasedSink.WriteOperation<T> |
getWriteOperation()
Return the WriteOperation that this Writer belongs to.
|
void |
openUnwindowed(java.lang.String uId,
int shard)
Similar to
openWindowed(java.lang.String, org.apache.beam.sdk.transforms.windowing.BoundedWindow, org.apache.beam.sdk.transforms.windowing.PaneInfo, int) however for the case where unwindowed writes were
requested. |
void |
openWindowed(java.lang.String uId,
BoundedWindow window,
PaneInfo paneInfo,
int shard)
Performs bundle initialization.
|
protected abstract void |
prepareWrite(java.nio.channels.WritableByteChannel channel)
Called with the channel that a subclass will write its header, footer, and values to.
|
abstract void |
write(T value)
Called for each value in the bundle.
|
protected void |
writeFooter()
Writes footer at the end of output files.
|
protected void |
writeHeader()
Writes header at the beginning of output files.
|
public Writer(FileBasedSink.WriteOperation<T> writeOperation, java.lang.String mimeType)
FileBasedSink.Writer
that will produce files of the given MIME type.protected abstract void prepareWrite(java.nio.channels.WritableByteChannel channel) throws java.lang.Exception
Called before any subsequent calls to writeHeader, writeFooter, and write.
java.lang.Exception
protected void writeHeader() throws java.lang.Exception
java.lang.Exception
protected void writeFooter() throws java.lang.Exception
java.lang.Exception
protected void finishWrite() throws java.lang.Exception
writeHeader()
, write(T)
and writeFooter()
.
If any resources opened in the write processes need to be flushed, flush them here.java.lang.Exception
public final void openWindowed(java.lang.String uId, BoundedWindow window, PaneInfo paneInfo, int shard) throws java.lang.Exception
write(T)
.
The unique id that is given to open should be used to ensure that the writer's output does not interfere with the output of other Writers, as a bundle may be executed many times for fault tolerance.
The window and paneInfo arguments are populated when windowed writes are requested. shard id populated for the case of static sharding. In cases where the runner is dynamically picking sharding, shard might be set to -1.
java.lang.Exception
public abstract void write(T value) throws java.lang.Exception
java.lang.Exception
public final void openUnwindowed(java.lang.String uId, int shard) throws java.lang.Exception
openWindowed(java.lang.String, org.apache.beam.sdk.transforms.windowing.BoundedWindow, org.apache.beam.sdk.transforms.windowing.PaneInfo, int)
however for the case where unwindowed writes were
requested.java.lang.Exception
public final void cleanup() throws java.lang.Exception
java.lang.Exception
public final FileBasedSink.FileResult close() throws java.lang.Exception
java.lang.Exception
public FileBasedSink.WriteOperation<T> getWriteOperation()


Biohazard Tracker is an online hub for staying updated on potential threats to human health. The site is
currently
in-development, and I still have a multitude of tools to implement. As of September 25, 2020, only the
COVID-19 and SARS-CoV maps have accesible map data and information.
Look to see these features in the future:
- Symptom questionnaires
- Get autnomously-updated, real-time data
- Risk assessment based on your demographic
- Account registration for alerts, updates, and to save your health information
- Inclusion of health threats other than viruses, ex. natural disastors and air quality
- More information about the imposing threats
- External tools, such as centers dedicated to the issue and charities
- Searchable map data for ease of access
- Code cleanup and reduction
This project is a result of ZHacks 2020. Click here
to visit my GitHub repository.


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|
SGCoreCpp
v1.2.1
SenseGlove C++ API
|
#include "SGCore.h"
Go to the source code of this file.
Namespaces | |
| SGCore | |
| SGCore::Kinematics | |
Variables | |
| Thumb | |
| Responsible for our evolutionary success! More... | |
| Index | |
| Used to point at what you want More... | |
| Middle | |
| On its own, this one is used to indicate frustration. More... | |
| Ring | |
| If you like it then you should have put a ___ on it More... | |
| T_CMC_Twist = 0 | |
| Pronation/Supination of the first finger joint. More... | |
| T_CMC_Flex | |
| Flexion of the first finger joint. More... | |
| T_CMC_Abd | |
| Abduction of the first finger joint. More... | |
| T_MCP_Flex | |
| Flexion of the second thumb joint. More... | |
| F_MCP_Flex = 0 | |
| Flexion of the first finger joint. More... | |
| F_MCP_Abd | |
| Abduction of the first finger joint. More... | |
| F_PIP_Flex | |
| Flexion of the second finger joint. More... | |
| F_MCP_Abd |
Abduction of the first finger joint.
| F_MCP_Flex = 0 |
Flexion of the first finger joint.
| F_PIP_Flex |
Flexion of the second finger joint.
| Index |
Used to point at what you want
| Middle |
On its own, this one is used to indicate frustration.
| Ring |
If you like it then you should have put a ___ on it
| T_CMC_Abd |
Abduction of the first finger joint.
| T_CMC_Flex |
Flexion of the first finger joint.
| T_CMC_Twist = 0 |
Pronation/Supination of the first finger joint.
| T_MCP_Flex |
Flexion of the second thumb joint.
| Thumb |
Responsible for our evolutionary success!


--- layout: default title: ESGF Future Architecture ---
Blog site for updates on the ESGF Future Architecture, an initiative to redesign and implement the Earth System Grid Federation's software infrastructure.
You can find current development activities on this project board


Static decomposition of the system into building blocks (modules, components, subsystems, subsidiary systems, classes, interfaces, packages, libraries, frameworks, layers, partitions, tiers, functions, macros, operations, data structures, …) and the relationships thereof.
This is the most important view, that must be part of each architecture documentation. In building construction this would be the floor plan.
The building block view is a hierarchical collection of black box and white box descriptions as shown in the following diagram:
Level 1 contains the white box description of the overall system (system under development/SUD) made up of black box descriptions of the system’s building blocks.
Level 2 zooms into the building blocks of Level 1 and is thus made up of the white box descriptions of all building blocks of Level 1 together with the black box descriptions of the building blocks of Level 2.
Level 3 zooms into the building blocks of Level 2, etc.
The section is structured as follows:
Contains multiple building blocks with corresponding black box descriptions. One or more black box templates: Each building block appearing in the white box template should be described as follows:
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Purpose / Responsibility:
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Interface(s):
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Implemented requirements:
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Variability:
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Performance attributes:
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Repository / Files:
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Other administrative information: Author, Version, Date, Revision History
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Open issues:


Regression Diagnostics and Specification Tests¶
Introduction¶
In many cases of statistical analysis, we are not sure whether our statistical model is correctly specified. For example when using ols, then linearity and homoscedasticity are assumed, some test statistics additionally assume that the errors are normally distributed or that we have a large sample. Since our results depend on these statistical assumptions, the results are only correct of our assumptions hold (at least approximately).
One solution to the problem of uncertainty about the correct specification is to use robust methods, for example robust regression or robust covariance (sandwich) estimators. The second approach is to test whether our sample is consistent with these assumptions.
The following briefly summarizes specification and diagnostics tests for linear regression.
Heteroscedasticity Tests¶
For these test the null hypothesis is that all observations have the same error variance, i.e. errors are homoscedastic. The tests differ in which kind of heteroscedasticity is considered as alternative hypothesis. They also vary in the power of the test for different types of heteroscedasticity.
het_breuschpagan
- Lagrange Multiplier Heteroscedasticity Test by Breusch-Pagan
het_white
- Lagrange Multiplier Heteroscedasticity Test by White
het_goldfeldquandt
- test whether variance is the same in 2 subsamples
Autocorrelation Tests¶
This group of test whether the regression residuals are not autocorrelated. They assume that observations are ordered by time.
durbin_watson
- Durbin-Watson test for no autocorrelation of residuals
- printed with summary()
acorr_ljungbox
- Ljung-Box test for no autocorrelation of residuals
- also returns Box-Pierce statistic
acorr_breusch_godfrey
- Breusch-Pagan test for no autocorrelation of residuals
- missing
- ?
Non-Linearity Tests¶
linear_harvey_collier
- Multiplier test for Null hypothesis that linear specification is correct
acorr_linear_rainbow
- Multiplier test for Null hypothesis that linear specification is correct.
acorr_linear_lm
- Lagrange Multiplier test for Null hypothesis that linear specification is correct. This tests against specific functional alternatives.
Tests for Structural Change, Parameter Stability¶
Test whether all or some regression coefficient are constant over the entire data sample.
Known Change Point¶
- OneWayLS :
- flexible ols wrapper for testing identical regression coefficients across predefined subsamples (eg. groups)
- missing
- predictive test: Greene, number of observations in subsample is smaller than number of regressors
Unknown Change Point¶
breaks_cusumolsresid
- cusum test for parameter stability based on ols residuals
breaks_hansen
- test for model stability, breaks in parameters for ols, Hansen 1992
recursive_olsresiduals
- Calculate recursive ols with residuals and cusum test statistic. This is currently mainly helper function for recursive residual based tests. However, since it uses recursive updating and doesn’t estimate separate problems it should be also quite efficient as expanding OLS function.
- missing
- supLM, expLM, aveLM (Andrews, Andrews/Ploberger)
- R-structchange also has musum (moving cumulative sum tests)
- test on recursive parameter estimates, which are there?
Mutlicollinearity Tests¶
- conditionnum (statsmodels.stattools)
- – needs test vs Stata –
- cf Grene (3rd ed.) pp 57-8
- numpy.linalg.cond
- (for more general condition numbers, but no behind the scenes help for design preparation)
- Variance Inflation Factors
- This is currently together with influence and outlier measures (with some links to other tests here: http://www.stata.com/help.cgi?vif)
Normality and Distribution Tests¶
jarque_bera
- printed with summary()
- test for normal distribution of residuals
- Normality tests in scipy stats
- need to find list again
omni_normtest
- test for normal distribution of residuals
- printed with summary()
normal_ad
- Anderson Darling test for normality with estimated mean and variance
kstest_normal
lilliefors
- Lilliefors test for normality, this is a Kolmogorov-Smirnov tes with for normality with estimated mean and variance. lilliefors is an alias for kstest_normal
qqplot, scipy.stats.probplot
- other goodness-of-fit tests for distributions in scipy.stats and enhancements
- kolmogorov-smirnov
- anderson : Anderson-Darling
- likelihood-ratio, …
- chisquare tests, powerdiscrepancy : needs wrapping (for binning)
Outlier and Influence Diagnostic Measures¶
These measures try to identify observations that are outliers, with large residual, or observations that have a large influence on the regression estimates. Robust Regression, RLM, can be used to both estimate in an outlier robust way as well as identify outlier. The advantage of RLM that the estimation results are not strongly influenced even if there are many outliers, while most of the other measures are better in identifying individual outliers and might not be able to identify groups of outliers.
RLM
example from example_rlm.py
import statsmodels.api as sm ### Example for using Huber's T norm with the default ### median absolute deviation scaling data = sm.datasets.stackloss.load() data.exog = sm.add_constant(data.exog) huber_t = sm.RLM(data.endog, data.exog, M=sm.robust.norms.HuberT()) hub_results = huber_t.fit() print(hub_results.weights)
And the weights give an idea of how much a particular observation is down-weighted according to the scaling asked for.
Influence
Class in stats.outliers_influence, most standard measures for outliers and influence are available as methods or attributes given a fitted OLS model. This is mainly written for OLS, some but not all measures are also valid for other models. Some of these statistics can be calculated from an OLS results instance, others require that an OLS is estimated for each left out variable.
- resid_press
- resid_studentized_external
- resid_studentized_internal
- ess_press
- hat_matrix_diag
- cooks_distance - Cook’s Distance Wikipedia (with some other links)
- cov_ratio
- dfbetas
- dffits
- dffits_internal
- det_cov_params_not_obsi
- params_not_obsi
- sigma2_not_obsi
Unit Root Tests¶
unitroot_adf
- same as adfuller but with different signature