13.11.2014
- Reminder Flash every hour (default at minute 57). Shows PTC to remind you update your task.
- Default for alwaysOnTop is false.
07.09.2011
- No Timer events when ShutdownHook is active (to avoid deadlock when shutting down windows 7 having ptc open)
05.09.2011
- Simplify application exit to avoid deadlock when shutting down windows 7 having ptc open.
02.08.2011
- Avoid deadlock on shutdown.
18.07.2011
- Allow setting alwaysOnTop to false.
12.07.2011
- Remove javaexe.
- Save state on shutdown.
26.06.2011
- Option to setDataFolder in FileUtil.
15.06.2011
- Integrate PTC Server.
- Allow integrating in local Booking-System VM via
MainController.setEnterpriseUtil(EnterpriseUtilRemote) and
AbstractEnterpriseUtilRemote.
17.01.2011
- Stop counting when process is killed.
- Show current task in icon as colors.
08.07.2010
08.09.2008
- Edit tasks dialog: Fields become larger on resizing.
- PrettyFormat Report can be switched off.
21.08.2008
- Backup ptc.properties file.
19.08.2008
- No more NullPointer with frameContentBounds.
15.08.2008
- Empty Button is not visible if PTC Enterprise is off.
04.06.2008
- Save reports to booking system (PTC Enterprise)
29.05.2008
- Task-Editor is not on top
- Task-Editor does not allow to enter fixed tasks (PTC
Enterprise)
- In small files the first line is available in editor.
27.05.2008
- Errors when starting on clean PC solved.
17.05.2008
- Last 10 seconds of task are saved when program exits.
- Support for fixed user tasks (PTC Enterprise)
- Setup routine changed (overwriting existing files without
uninstall possible)
06.05.2008
- Sum by day can be selected between 8 hours or 24 hours
- Group by 'year' added.
- Custom reports start date is in the past now.
20.04.2008
- Avoid saving invalid bounds when shutdowning (x<100)
15.03.2008
- Correct formatting of Title
- More logging for frame bounds
16.01.2008
- Report can be created with sum in days.
21.11.2007
- Before starting the editor the pendig task change is commited.
05.11.2007
- Open speed task selection added (quick, sorted list of recent
tasks).
30.10.2007
- BugFix: Editor overwrites first tasks instead of appending.
- Switched Build-Tool Maven2 (mvn).
29.10.2007
- Editor for recent Tasks.
- Task file is backup up on start and before edit (to
%userprofile%\ptc)
- 'Day of week' is displayed in report.
09.10.2007
- Corrected Part-Sum of tasks if user had booked on the sum-task
itself
(Task1 10:00, Task1 2 5:00 -> Display Task1 5:00)
Total-sum was correct.
03.09.2007


#include "sysc/utils/sc_report.h"
Go to the source code of this file.
Defines | |
| #define | UVM_DEFINE_MESSAGE(id, unused, text) namespace sc_core { extern const char id[]; } |
Functions | |
| UVM_DEFINE_MESSAGE (UVM_MULTIPLE_STOP_PROCS_, 1,"uvm_component has multiple children named 'stop'; did you mistakenly declare 'SC_THREAD(stop)'?") UVM_DEFINE_MESSAGE(UVM_PACKER_UNPACK_INDEX_ | |
| uvm_packer unpack_index pack_index | UVM_DEFINE_MESSAGE (UVM_PACKER_UNPACK_OBJECT_, 3,"uvm_packer unpack_object failed") UVM_DEFINE_MESSAGE(UVM_CREATOR_NOT_FOUND_ |
|
uvm_packer unpack_index pack_index uvm creator not found for type | UVM_DEFINE_MESSAGE (UVM_CREATOR_NOT_OBJECT_, 5,"uvm creator is not an object creator") UVM_DEFINE_MESSAGE(UVM_CREATOR_NOT_COMP_ |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator | UVM_DEFINE_MESSAGE (UVM_OVERRIDE_EXISTS_, 7,"uvm type override already exists") UVM_DEFINE_MESSAGE(UVM_CONFIG_INTERNAL_ |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error | UVM_DEFINE_MESSAGE (UVM_UNPACK_DCAST_, 9,"DCAST from uvm_object failed in uvm_packer operator >>") UVM_DEFINE_MESSAGE(UVM_PACK_NULL_ |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object | UVM_DEFINE_MESSAGE (UVM_UNPACK_OBJ_NO_METADATA_, 11,"Attempt to unpack uvm_object without metadata") UVM_DEFINE_MESSAGE(UVM_PHASE_CTRL_PHASE_UNSPECIFIED |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule | UVM_DEFINE_MESSAGE (UVM_PHASE_CTRL_PHASE_TYPE, 13,"Phase not correct type for pre-run or post-run - ") UVM_DEFINE_MESSAGE(UVM_PHASE_CTRL_POST_RUN_NONE |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping | UVM_DEFINE_MESSAGE (UVM_PHASE_CTRL_GLOBAL_TIMEOUT, 15,"Global time out reached - terminating run") UVM_DEFINE_MESSAGE(UVM_PHASE_CTRL_STOP_DURATION |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stopped by user | UVM_DEFINE_MESSAGE (UVM_PHASE_UNKNOWN, 26,"Unknown phase - ") UVM_DEFINE_MESSAGE(UVM_PHASE_NULL |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stopped by user Phase is NULL skipping | UVM_DEFINE_MESSAGE (UVM_PHASE_STATE_INVALID, 28,"Invalid state") UVM_DEFINE_MESSAGE(UVM_PHASE_TYPE_INVALID |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stopped by user Phase is NULL skipping Invalid type | UVM_DEFINE_MESSAGE (UVM_PHASE_CALLBACK_INVALID, 30,"Unable to find callback agent for schedule/phase/state requested") UVM_DEFINE_MESSAGE(UVM_RESOURCE_NOT_FOUND |
Variables | |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop | reason |
|
uvm_packer unpack_index pack_index uvm creator not found for type uvm creator is not a component creator uvm config internal error Attempt to pack null uvm_object Initial phase not specified for schedule No post run phases to execute skipping Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop Simulation stop | reason |
Definition in file uvm_ids.h.


Sistema Comprot
Este é um sistema de consulta ao Comprot
Acesse Nosso sistema on line de processos
Nome Empresa.
Em que nossa empresa trabalha
- This app was deployed to Heroku, either using Git or by using Heroku Button on the repository.
- When Heroku received the source code it used the go tool chain to compile the application along with any vendored
dependencies and created a deployable slug.
- The platform then spins up a dyno, a lightweight container that provides an isolated environment in which the slug
can be mounted and executed.
- You can scale your app, manage it, and deploy over 150 add-on services, from the Dashboard or CLI.
Notícias Recentes
- If you are following the Getting Started guide, then please head back to the tutorial and follow
the next steps!
- If you deployed this app by deploying the Heroku Button, then in a command line shell, run:
- this will create a local copy of the source code for the app, compile and install the generated executables in
$GOPATH/bin
- change directory into the local source code repository
- associate the Heroku app with the repository
- You'll now be set up to run the app locally, or deploy changes to Heroku
Links Úteis
A Controladoria é um segmento da Contabilidade ou da Adminstração, podendo ser dividida em Controladoria Administrativa e
Controladoria Contábil, mas na prática profissional ambas costumam ficar sob a égide de um único gestor, chamado de
controller ou controlador.


--- layout: page title: About header-img: "img/about-bg.png" ---
Hello, I am creating this while going through my journey to becoming a Software Engineer. To hopefully help others make it through the journey. Give words of encouragement and have a place to ask questions and work as a team.


BATMAN: MASK OF THE PHANTASM A film review by Michael John Legeros Copyright 1994 Michael John Legeros
Animated film featuring the voices of: Kevin Conroy Dana Delany Stacy Keach, Jr. Efrem Zimbalist Jr. Abe Vigoda Mark Hamill MPAA Rating: "PG" Running Time: Approx. 74 minutes
---
"The way I see it, the only one in this room still controlled by their parents is you." - Andrea Beaumont to Bruce Wayne
BATMAN: MASK OF THE PHANTASM belongs on the small screen. Based on TV's acclaimed "Batman: the Animated Series," this modestly intriguing film is undercut by second-rate animation that was clearly intended for television viewing only.
The plot introduces Phantasm, a fog-shrouded phantom who's preying on key figures in Gotham City's underworld. Dressed in a billowing black shroud, the villain has the police thinking that "The Bat" is behind the crimes. The crooks, fearing for their lives, contact the Joker to contract the Batman. Soon, fights erupt on both fronts as Batman battles both Phantasm and the Joker.
Meanwhile, back at stately Wayne Manor, key subplots emerge which include the reappearance of Bruce Wayne's one-time flame, Andrea Beaumont, and, yes, the origin of the Caped Crusader....
MASK OF THE PHANTASM proves that, in the case of cartoons, what works on television doesn't always work in the movies.
With the exception of a nifty computer-generated opening, the animation in MASK OF THE PHANTASM is stiff and very awkward. The blending of foreground and background movement is lousy and there's far two little detail hidden amid the simple but stylish backgrounds. The fight scenes are fluid and Gotham City looks the part, but that's about it.
The characters lack any expression, which makes watching any non-action a virtual chore. There's a load of lively dialogue in this film--you just can't tell it from spying the speakers! Only the Joker, voiced by a surprisingly talented Mark Hamill, seems to get around this problem. With his grisly grin and gangly gait, he's the only lively thing in the film.
There are a few other problems to speak of.
Plot holes frustrate as only comic-book creations can, a couple of key settings are nearly indistinguishable from one another, and the story relies way too heavily on flashback.
Zowie!
Bottom line: BATMAN: MASK OF THE PHANTASM belongs on the small screen. Only kids and comic-book fans are likely to to forgive the stiff animation and messy narrative. Let's hope that Joel Schumacher does a better job in 1995 with BATMAN 3. Grade: C+
.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


Photoshop, InDesign
Relic magazine is about showcasing artists who delve in older art developments that have been laid to the wayside for newer quicker ones. The magazine focuses on the craft of old techniques, and the story of the artist that is behind the work.
View a PDF


PowerUpSQL: A PowerShell Toolkit for Attacking SQL Server- The PowerUpSQL module includes functions that support SQL Server discovery, auditing for common weak configurations, and privilege escalation on scale. It is intended to be used during internal penetration tests and red team engagements. However, PowerUpSQL also includes many functions that could be used by administrators to quickly inventory the SQL Servers in their ADS domain.
- [Documentation](https TLS/SSL Vulnerabilities ://github.com/NetSPI/PowerUpSQL/wiki)
- Overview of PowerUpSQL


Automates all binding and is based on object names, property names, and property paths.
A property path is a dot (".") separated list of property names that are used to navigate from a root Class to a property value. To go from object to object, reference property names are used.
Example: Binding an Object to a GUI Component
Bind an object property to a TextField component.
Both objects are observable - they will send events whenever a change is made.
Listeners can be set up to react to these events.
A single object (connector) can be used to act as a controller, handling events and updating.
Using OAReflective classes, a connector can be created that can work with any object OAModel.
Once the connector is created, it is used as the controlling object when subclassing the GUI component. In this example, the JTextField component is subclassed into OATextField. OATextField has internal constructors and methods used to automatically bind any object property to it.
Custom Renderers
The OA JFC Components have methods that make it easy to customize how the component renders an
objects value.
Data Converters
Most JFC Components display values using Strings. The OAConverter Classes in the com.viaoa.Util package is
used to automatically convert from Strings to any data type. Custom Format Strings can be used to determine
how the String should be displayed.
Custom Editors
Some JFC Components, like JTable and JTree allow for custom Editors that can be used to edit the
value displayed in a Cell or Node. The OA Components are set up so that any of the OA JFC Components
can be used as a Column, thus it is able to act as the editor.
Base Controller Class
OAGuiAdapter in the com.viaoa.hub package has most of the core functionality used by the
GUI Components. Methods for formatting, getting/setting property values, setting image/icons, etc.
Automatically include Images/Icons
Components that can include an image/icon have methods for setting the property in the object
that has the image name (setImageProperty). Also, the directory where the images are stored can be
set by using the setImagePath method.
Component Width based on average character width
Most of the components width can be specified in character width, as opposed to pixels.
Automatic support for Drag and Drop (DND)
Components allow for turning on/off drag and/or drop support. Options also include if a dropped object
should be removed from the source.
Automatic support Undo/Redo
OA includes an OAUndoManager that OA Components automatically use for allowing Undo and Redo for edits/changes.
Custom Combo Box popups
Dropdown/popup for ComboBox can be customized to show any component, that can also be bound to any object.
Much more ...
Building software using OA GUI Components, OAObjects and Hubs can eliminate most fo the programming
associated with building GUI applications.


Movie Remake Weekend SOMMERSBY & THE VANISHING (1993) A film review by Sarah M. Elkins Copyright 1993 Sarah M. Elkins
*THE VANISHING*: Suspenseful "missing person" action/mystery
PLOT/KICK-OFF: Diane vanishes without a trace from an interstate rest stop in Washington State. Her boyfriend searches for her for years (time-lapsed, this is not a slow movie), meets the waitress Rita and tries to get on with his life but can't let go, and goes on TV to beg whoever took Diane to meet with him to tell him what happened.
CHARACTERS/ACTING: Kiefer Southerland is fine as the boyfriend. Jeff Bridges is okay as creepy Barney but has an inexplicably goofy accent (blame it on the director?). It is Nancy Travis, as Rita, that makes this movie succeed. She's no Sarah Connor (T2's Uzi-toting, sculpted-muscles waitress), but this admirable, believable and *smart* heroine got the audience rooting and cheering for her.
CINEMATOGRAPHY/FX: Some difficult scenes fairly well shot.
SCORE/SOUND: pretty good, sort of jazzy in places
SKIN/SITUATIONS: Some kissing.
VIOLENCE/GORE/LANGUAGE: Shovel fight. Not much gore, but realistic boinging sounds and one mercifully short somewhat gross still shot. Some curses, nothing not on TV.
*SOMMERSBY*: Post-Civil War "missing person returns" drama
PLOT/KICK-OFF: Jack Sommersby returns to his wife and farm in Tennessee -- or does he really? -- after being shut up in the Yankee prisoner-of-war camp in Elmira, New York for most of the War Between the States. His efforts to restore the family farm and fortune after the devastation of the war, and make a new start with his wife and son, are complicated by a Tennessee version of the Klan (angered by his promise to sell off his land to black as well as white sharecroppers after paying off the mortgage on the farm), his wife's ex-suitor who had worked the farm in hopes of marrying the grass widow, and accusations that he is not who he claims to be.
CHARACTERS/ACTING: Richard Gere is natural and charming as Jack, and Jodi Foster (Laurel Sommersby) excels as ever at unspoken conversations, but is perhaps a bit melodramatic in a few of her spoken lines near the end (again, blame it on the director?). James Earl Jones has a small but pronounced part as a judge (implausible, but this is a Hollywood movie, though it rises above that at various times in the movie). Although not as over-the-top as his performance in "Sneakers", I will repeat my suggestion from my previous review: "James! Stop these cameos and get a real role!"
CINEMATOGRAPHY/FX: Most evocative of my roots since FRIED GREEN TOMATOES. Beautiful scenery and interesting scenes of tobacco-farming. I avoided most of those films about farmers a few years back, but this movie had just enough to communicate some of the problems of farm life while advancing the plot, but didn't drag on interminably about them, sort of like the barn-raising sequences in *Witness*.
SCORE/SOUND: Pretty good, fitting
SKIN/SITUATIONS: A little foreplay (clothed)
VIOLENCE/GORE/LANGUAGE: Fighting, short shot of a man's whipped back. Some slurs against blacks uttered by the Klansmen (Knights of the White Chameleon).
ANALYSIS: Why did I like both of these movies better than their foreign originals (THE RETURN OF MARTIN GUERRE, with Gerard Depardieu in Richard Gere's role, and THE VANISHING, a Dutch film), even though it could be said that the originals were more tightly plotted and did not have the error of tending a few times towards melodrama? Because the originals didn't give me any reasons to care what happened to any of its characters, and the remakes did. Also, SOMMERSBY added interesting sub-plots, and THE VANISHING ('93) had some surprising twists.
- Sarah<EMAIL_ADDRESS>.
The review above was posted to the
rec.arts.movies.reviews newsgroup (de.rec.film.kritiken for German reviews).
The Internet Movie Database accepts no responsibility for the contents of the
review and has no editorial control. Unless stated otherwise, the copyright
belongs to the author.
Please direct comments/criticisms of the review to relevant newsgroups.
Broken URLs inthe reviews are the responsibility of the author.
The formatting of the review is likely to differ from the original due
to ASCII to HTML conversion.
Related links: index of all rec.arts.movies.reviews reviews


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|
Dreamroam
0.0.0
A free and open source C++ 3D GameEngine
|
This class is a part of each GameObject which stores rotation position and a three dimensional scale value for the object. It also provides a methods for creating (for the rendering of the object) the model matrix. More...
#include <Transform.hh>
Public Member Functions | |
| Transform (glm::vec3 pos=glm::vec3(0), glm::vec3 rot=glm::vec3(0), glm::vec3 scale=glm::vec3(1.0f)) | |
| This creates a new Transform object where position and rotation can be specified (by default they are 0). This constructor can also be used with a specified scale value (which by default is 1). More... | |
| glm::mat4 | getModelMatrix () |
| This method returns a model matrix for this transform object. Therefore the position matrix the rotation matrix and the scale matrix is multiplied. The parent transform is used to calculate this matrix (if and only if existing). More... | |
| glm::mat4 | getScaleMatrix () |
| This method returns a matrix that scales the object using this Transform More... | |
| glm::mat4 | getRotationMatrix () |
| This method returns a matrix that rotates the object using this Transform More... | |
| glm::mat4 | getPosMatrix () |
| This method returns a matrix that positions the object using this Transform More... | |
Public Attributes | |
| glm::vec3 | position |
| The position of the Transform and the corresponding GameObject More... | |
| glm::vec3 | rotation |
| The rotation of the Transform and the corresponding GameObject More... | |
| glm::vec3 | scale |
| The scale value of the Transform and the corresponding GameObject More... | |
Protected Attributes | |
| GameObject * | gameObject = nullptr |
Friends | |
| class | GameObject |
This class is a part of each GameObject which stores rotation position and a three dimensional scale value for the object. It also provides a methods for creating (for the rendering of the object) the model matrix.


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July 06, 2002
Explosive balloons blow roof off car
Bay News 9 | Submitted by: JWSmythe
Two candidates for the "Darwin Awards" filled 10 party balloons with
Acetylene, for 4th of July celebrations. After filling the balloons,
put them in their car, to drive out and blow up somewhere.
Apparently failing to read the OSHA documenation on Acetylene,
which says things on the order of: "Using acetylene at pressures in
excess of 15 psi gauge pressure is a hazardous practice. Free
gaseous acetylene is potentially unstable at pressures above 15 psi
and could decompose with explosive violence."  The balloons exploded,
blasting out the windows, tearing off the car's roof, and sending
both occupants flying. Both men survived with burns, bruises,
and eardrum damage.
|
|
Read article...
|
|
Dear Occupant: Here's some Prozac
Wire Services | Submitted by: D. Rango
What about doctor-patient confidentiality? Evil mega-chain Walgreens sends a
one-month supply of Prozac worth $63 to Florida woman. "The Prozac mailings may
mark the first time a powerful prescription drug was sent to patients neither
expecting nor wanting new pills." The woman is pissed-off. A lawsuit is filed.
Of course, the drug-maker, Walgreens officials and doctors all clam up.
|
|
Read article...
|
|
Ho' mugs on city TV
Wire Services | Submitted by: D. Rango
Denver's official cable channel is will start a "sin bin" program featuring mugshots of prostitutes and their clients. The idea is to shame the call-girls and their clients. But, as one ho' summed it up: "Shaming has never done anything for anyone who has nowhere to go."
|
|
Read article...
|
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Why Elizabeth became a teenage media whore
Salt Lake City Weekly | Submitted by: Mickey Knox
"There’s always a void in cable news for a heart-wrenching tragedy that can be
turned into a national story. Once cable begins fixating on such a tale, other
news organizations figure everyone is buzzing about it and they better get on
the case. It is a mysterious process because, sadly, there are hundreds of
other cases of missing children that deserve attention. But these circumstances
seem to have captured the imagination of television executives."
|
|
Read article...
|
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Dead fatties pissing off coroner
Daily Southtown | Submitted by: f00f
"The past 18 months, his office has had to deal with seven deceased people
each weighing in at more than 500 pounds... [West] said dealing with bodies
weighing more than 300 pounds places his staff in jeopardy as well because
they can't lift the heavy deceased."
|
|
Read article...
|
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Soiled panties for sale
myCFnow | Submitted by: Rio
"A Central, S.C., woman faces up to five years in prison or a $250,000
fine on charges of mailing soiled underwear that she sold over the Internet.
From November 2000 to March 2002, she sold and mailed about $9,000 worth of
soiled underwear and other used hygiene and sex-related items on the Web
site while she was a student at Clemson University." Go Clemson!
|
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Read article...
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Gotta love those Canuckleheads
Toronto Star | Submitted by: Gunny Walker
I have three questions...
1. Does Smoking Marijuana make you THAT STUPID?
2. Why is there a weapon in the living room?
3. Why does a blind man own a crossbow?
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Read article...
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Monster of Florence is back for the Dead
London Telegraph | Submitted by: Phatlor
"A series of attacks on corpses in an Italian mortuary may be the work of long
dormant serial killer known as the Monster of Florence, police believe...
Driven by reports that five corpses had been mutilated in eight days, many
visitors were loath to leave their dead relatives alone. Some have mounted
all-day vigils beside the coffins."
|
|
Read article...
|
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SS killer walks
Mirror | Submitted by: Phatlor
An SS chief was convicted yesterday, but then set free because of his
advanced age of 93 years.
"Engel selected Italians to be shot and ordered them to be chained up in
groups of six. They were made to walk a plank over an open grave dug by
Jewish prisoners and then gunned down."
Would the court release Hitler just because he's
a strapping 113? He doesn't look a day over 108.
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LOADING
POKEMON BATTLE SIMULATOR
LSCS-RND JUNIOR OFFICERS
HUMAN VS HUMAN
HUMAN VS COMPUTER
COMPUTER VS COMPUTER
HOW TO MODIFY COMPUTER?


Hi there!
I'm Raul, the creator of this blog that I rarely update. I am a spanish Software Engineer currently living in London (UK).
If you want to know a little more about me do not hesitate to drop me an email or check out my LinkedIn or Github profile.


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A series of tools built by User:AntiCompositeNumber
{{ description }}
Run


Base class for SigningService Stubby servers.
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.__init__ |
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Creates a Stubby RPC server.
See BaseRpcServer.__init__ in rpcserver.py for detail on arguments.
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.GetAccessToken |
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Handles a GetAccessToken RPC call. You should override this.
Args:
rpc: a Stubby RPC object
request: a GetAccessTokenRequest that contains the client request
response: a GetAccessTokenResponse that should be modified to send the response
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.GetDefaultGcsBucketName |
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Handles a GetDefaultGcsBucketName RPC call. You should override this.
Args:
rpc: a Stubby RPC object
request: a GetDefaultGcsBucketNameRequest that contains the client request
response: a GetDefaultGcsBucketNameResponse that should be modified to send the response
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.GetPublicCertificatesForApp |
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Handles a GetPublicCertificatesForApp RPC call. You should override this.
Args:
rpc: a Stubby RPC object
request: a GetPublicCertificateForAppRequest that contains the client request
response: a GetPublicCertificateForAppResponse that should be modified to send the response
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.GetServiceAccountName |
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Handles a GetServiceAccountName RPC call. You should override this.
Args:
rpc: a Stubby RPC object
request: a GetServiceAccountNameRequest that contains the client request
response: a GetServiceAccountNameResponse that should be modified to send the response
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.NewRPC2Stub |
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server = None , |
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Creates a new SigningService Stubby2 client stub.
Args:
server: host:port or bns address.
channel: directly use a channel to create a stub. Will ignore server
argument if this is specified.
service_name: the service name used by the Stubby server.
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.NewStub |
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rpc_stub_parameters, |
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Creates a new SigningService Stubby client stub.
Args:
rpc_stub_parameters: an RPC_StubParameter instance.
service_name: the service name used by the Stubby server.
| def google.appengine.api.app_identity.app_identity_service_pb.SigningService.SignForApp |
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Handles a SignForApp RPC call. You should override this.
Args:
rpc: a Stubby RPC object
request: a SignForAppRequest that contains the client request
response: a SignForAppResponse that should be modified to send the response
The documentation for this class was generated from the following file:
- code/googleappengine-read-only/python/google/appengine/api/app_identity/app_identity_service_pb.py


--- layout: post tags: [Dependency Injection, Software Design, Unit Testing] date: 2013-01-08 10:42:06 UTC title: "Argument Name Role Hint" description: "This article describes how object roles can by indicated by argument or variable names." image: "/content/binary/wizard-graph.png" --- {% include JB/setup %}
{{ page.description }}
In my overview article on Role Hints I described how making object roles explicit can help making code more object-oriented. One way code can convey information about the role played by an object is by proper naming of variables and method arguments. In many ways, this is the converse view of a Type Name Role Hint.
To reiterate, the Design Guidelines for Developing Class Libraries provides this rule:
Consider using names based on a parameter's meaning rather than names based on the parameter's type.
As described in the post about Type Name Role Hints, this rule makes sense when the argument type is too generic to provide enough information about role played by an object.
Previously I've described how explicitly naming unit test variables after their roles clearly communicates to the Test Reader the purpose of each variable.
[Fact] public void GetUserNameFromProperSimpleWebTokenReturnsCorrectResult() { // Fixture setup var sut = new SimpleWebTokenUserNameProjection(); var request = new HttpRequestMessage(); request.Headers.Authorization = new AuthenticationHeaderValue( "Bearer", new SimpleWebToken(new Claim("userName", "foo")).ToString()); // Exercise system var actual = sut.GetUserName(request); // Verify outcome Assert.Equal("foo", actual); // Teardown }
Currently I prefer these well-known variable names in unit tests:
Consider a Wizard in a rich client, implemented using the MVVM pattern. A Wizard can be modeled as a 'Graph of Responsibility'. A simple example may look like this:
This is a rather primitive Wizard where the start page asks you whether you want to proceed in a 'default' or 'custom' way:
If you select Default and press Next, the Wizard will immediately proceed to the Progress step. If you select Custom, the Wizard will first show you the Custom step, where you can tweak your experience. Subsequently, when you press Next, the Progess step is shown.
Imagine that each Wizard page must implement the IWizardPage interface:
public interface IWizardPage : INotifyPropertyChanged { IWizardPage Next { get; } IWizardPage Previous { get; } }
The Start page's View Model must wait for the user's selection and then serve the correct Next page. Using the DIP, the StartWizardPageViewModel doesn't need to know about the concrete 'custom' and 'progress' steps:
private readonly IWizardPage customPage; private readonly IWizardPage progressPage; private bool isCustomChecked; public StartWizardPageViewModel( IWizardPage progressPage, IWizardPage customPage) { this.progressPage = progressPage; this.customPage = customPage; } public IWizardPage Next { get { if (this.isCustomChecked) return this.customPage; return this.progressPage; } }
Notice that the StartWizardPageViewModel depends on two different IWizardPage objects. In such a case, the interface name is insufficient to communicate the role of each dependency. Instead, the argument names progressPage and customPage are used to convey the role of each object. The role of the customPage is more specific than just being a Wizard page - it's the 'custom' page.
While you may not be building Wizard-based user interfaces with MVVM, I chose the previous example because the problem domain (that of modeling a Wizard UI) is something most of us can relate to. Another set of examples is much more general-purpose in nature, but may feel more abstract.
Due to the multicore problem, asynchronous messaging architectures are becoming increasingly common - just consider the growing popularity of CQRS. In a Pipes and Filters architecture, Message Routers are central. Many variations of Message Routers presented in Enterprise Integration Patterns provide examples in C# where the alternative outbound channels are identified with Role Hints such as outQueue1, outQueue2, etc. See e.g. pages 83, 233, 246, etc. Due to copyright reasons, I'm not going to repeat them here, but here's a generic Message Router that does much the same:
public class ConditionalRouter<T> { private readonly IMessageSpecification<T> specification; private readonly IChannel<T> firstChannel; private readonly IChannel<T> secondChannel; public ConditionalRouter( IMessageSpecification<T> specification, IChannel<T> firstChannel, IChannel<T> secondChannel) { this.specification = specification; this.firstChannel = firstChannel; this.secondChannel = secondChannel; } public void Handle(T message) { if (this.specification.IsSatisfiedBy(message)) this.firstChannel.Send(message); else this.secondChannel.Send(message); } }
Once again, notice how the ConditionalRouter selects between the two roles of firstChannel and secondChannel based on the outcome of the Specification. The constructor argument names carry (slightly) more information about the role of each channel than the interface name.
Parameter or variable names can be used to convey information about the role played by an object. This is especially helpful when the type of the object is very general (such as string, DateTime, int, etc.), but can also be used to select among alternative objects of the same type even when the type is specific enough to adhere to the Single Responsibility and Interface Segregation principles.


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Soldier caught twice by paedophile hunters while trying to meet girls for sex
A former soldier who fell for paedophile hunter sting operations twice in a row after walking free from prison has been jailed.

He had left prison just two weeks earlier, having been released nine months into a 16-month sentence for attempting to incite a child to take part in a sexual activity.
Nendick represented himself at Teesside Crown Court, where jurors heard of his string of online child sex offences dating back five years.
He was given a three-year community order in 2014 after pleading guilty to inciting a real underage girl to engage in sexual activity.
Prosecutor Jo Kidd said Nendick sent pictures of himself to the girl online, encouraging her to do the same, but was arrested after she told her mother.
Several years later he began sending sordid messages to a decoy 13-year-old girl on social media, the court heard.
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Jurors were told how he encouraged the stooge to watch pornography and touch herself, and sent an image of him doing the same.
The trial resulted in the 16-month sentence handed to him in January this year.
Two weeks after his release on September 13, he messaged another decoy 13-year-old girl, telling her to touch herself and that he wanted to have sex with her, jurors heard.
He gave his address to the decoy on request, only to be confronted by Children’s Warriors and the police.
Nendick, of Middlesbrough, admitted to again attempting to incite a child to engage in sexual activity between September 27 and October 2.
He also admitted breaching a sex offender order by not telling authorities of the phone he used for the offences.
He refused to explain himself after Judge Deborah Sherwin questioned him on telling a probation officer he had no sexual interest in children.
Judge Sherwin told him: ‘You put your needs before those of any child.
‘Is there anything you would like to say to me by way of mitigation?’ she added.
Nendick replied: ‘No, your Honour. No.’
Sentencing, Judge Sherwin said: ‘I’m unable to do anything other than draw a conclusion that you are attracted to juvenile female children.
‘And that you do pose a high risk of harm to children when you communicate with any genuine children in future.
‘In those circumstances there really is no reasonable alternative to custody.’
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She took into account his background and his post-traumatic stress disorder suffered from distressing experiences in the Army.

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Get in touch with our news team by emailing us at<EMAIL_ADDRESS>For more stories like this, check our news page.


HRRR Archive at the University of Utah
Frequently Asked Questions
Just tell me how to get the data...
Web Download Interface Scripting TipsAbout the HRRR archive
What is this HRRR archive?
This HRRR archive is a collection of output from NCEP's High Resolution Rapid Refresh model. This is a model developed by NOAA ESRL and is run operationally every hour at NCEP's Environmental Modeling Center. It continues to be developed by ESRL.
The operational HRRR generates hourly forecasts gridded at 3 km for 18 hours over the contiguous United States making it the highest spatial and temporal resolution forecast system run by NCEP.
HRRR Variable Details RAP/HRRR Diagnostic Details
HRRR analyses and forecasts are exceptionally valuable to the research community. However, an official HRRR archive does not exist. We began archiving HRRR data in April 2015 to support research efforts at the University of Utah. The archive system failed and we lost all the data. We rebuilt the archive with data beginning 15 July 2016.
Instead of storing all available HRRR files, we only download the files most useful to accomplish our research efforts. We realize this data is valuable to many others and have made the archive publicly accessible for research purposes. We currently have 60 terabytes of storage space at our disposal.
Additional details about this archive are published in Computers and Geosciences
This HRRR archive has an official doi: 10.7278/S5JQ0Z5B
What files are contained in the HRRR archive?
Output files, in GRIB2 format, contained in the archive include:
- sfc: Surface fields for analyses and forecasts
- File format: hrrr.t[00-23]z.wrfsfcf[00-18].grib2
- File size: ~120 MB
- prs: Pressure fields for analyses
- File format: hrrr.t[00-23]z.wrfprsf00.grib2
- File size: ~380 MB
bufr: Vertical profiles available for KSLC, KODG, and KPVU- File format: [KSLC,KODG,KPVU]_[YYYYMMDDHH].buf
- File size: ~75 KB
- sfc: Surface fields for analyses
- File format: hrrr.t[00-23]z.wrfsfcf00.grib2
- File size: ~120 MB
Note: Not all hours are available for the experimental runs.
Became operational after July 12, 2018.
- sfc: Surface fields for analyses and forecast hours
- File format: hrrr.t[00,03,06,09,12,15,18,21]z.wrfsfcf[00-36].grib2
- File size: ~100 MB
- prs: Pressure fields for analyses
- File format: hrrr.t[00,03,06,09,12,15,18,21]z.wrfprsf00.grib2
- File size: ~205 MB
Note: Not all hours are available for the experimental runs.
Note: Some days and hours in our archive may not be available. Either the forecast wasn't run that hour (typical for the experimental models), or our download scripts failed to download everything.
What are GRIB2 files?
GRIB2, or Gridded Binary Version 2, is a standard file format used by meteorologists for model data sets. There are several useful tools for working with the data.
- wgrib2: a command line utility used to read GRIB2 files.
- pygrib: a Python module used to read GRIB2 files.
- cfgrib: a new Python module used to read GRIB2 files (version > 0.9.7 works with HRRR data). Works on Windows 😎
- IDV: a desktop application that can view many types of weather data.
- NOAA Toolkit: graphical software that can read and visualize GRIB2 files. I highly recommend this tool if you haven't used GRIB2 files before.
Where do the HRRR output files come from?
The operational HRRR (hrrr) and HRRR Alaska (hrrrak) is downloaded via HTTP from the NOMADS server.
Experimental HRRR (hrrrX) is downloaded via FTP from NOAA ESRL (credentials required).
What version of HRRR is in this archive?
HRRRv1 was the operational model prior to August 23, 2016.
HRRRv2 was implemented at NCEP on August 23, 2016 beginning with the 12z run. We download the operational version from NOMADS. For more details on the HRRRv2 implementation, read the announcement
HRRRv3 was implemented at NCEP on July 12, 2018 beginning with the 12z run. Version 3 extends the forecast period for the 00, 06, 12, and 18 run out to 36 hours, but we have decided not to archive the f19-f36 files. Improvements in version 3 include updated Thompson microphysics, improved MYNN PBL scheme, updated land surface model with 15 second MODIS data, refined roughness lengths for certain land use types, and additional improvements in assimilation methods including lightning, radar radial velocity, and TAMDAR.
HRRRv4 was implemented at NCEP on Dec 2, 2020 beginning with the 12z run. This version makes more use of ensemble modeling methods and many improvements to model physics. Check out the Official HRRR Webpage for more information. Key upgrades include:
- Forecasts for the 00/06/12/18z are made out to 48 hours
- MYNN PBL update for better sub-grid clouds
- Aerosols sources/sinks
- Improved Land surface
- Assimilate GOES-16 Radiances and Motion Vectors and VIIRS/MODIS fire radiative power
- Ensemble 3km data assimilation
- Addition of smoke forecast variables (more information on these are available via this guide)
What's next for the HRRR? The HRRR model is the foundation for the upcoming Rapid Refresh Forecast System anticipated in 2022. Check out this article of HRRR's great achievements.
When do we download the HRRR data?
HRRR, HRRR-X, and HRRR-Alaska is downloaded from NOMADS and ESRL 8 times a day at 00:30, 03:30, 06:30, 09:30, 12:30, 15:30, 18:30, and 21:30 UTC.
We only download HRRR data eight times a day to prevent anyone from grabbing real-time forecasts because this HRRR archive is not meant to be used for real-time or operational products.
If you are looking for today's HRRR output, then download directly from NOMADS.
Vision for the Future
This project is turning into a classic case of one of my favorite children's books If You Give A Mouse A Cookie where starting one thing has grown and continues to grow into something bigger.
At the 2017 Annual AMS meeting I talked with a guy on the the AMS Board on Data Stewardship. He said the lack of a HRRR archive was one concern brought up at their board meeting.
Archiving high resolution model data is an expensive task. This is a growing issue in the atmospheric science community as we move to higher resolution models that generate terabytes of data annually. At the 2018 Annual AMS meeting, it sounds like NOAA is interested in pushing the HRRR output to its Big Data partners.
There are many opportunities with cloud computing where we "bring the data to the computing." An archive on the cloud can be kept in one place and researchers can use cloud resources to process the data, perform analyses, and initialize WRF simulations without downloading the model output on their own computers. The benefits and complications of cloud computing were discussed at the 2017 Modeling Research in the Cloud Workshop. It would especially be beneficial if it were possible to efficiently mine the large dataset for a specific variable at a point or subgrid for a range of dates or times. Perhaps this model data needs to be stored in HDF5 format rather than grib2. It would be nice if there was fewer redundant data fields between the files. For instance, some fields are available in the prs and sfc and nat files.
Until data storage challenges are overcome, I would like to make this HRRR archive easily available to everyone to demonstrate the interest and need for having such an archive. This archive has already proven beneficial to many researchers and has served in many applications.
In the future, it is possible to have server-side data processing that generate time series or wind roses for point locations in the HRRR model. My current methods for doing this are extremely inefficient because they still require downloading a temporary file for a single variable of the entire grid (which contains about 1.9 grid points over the contiguous United States).
One day, we hope this data will be archived elsewhere that is more accessible to everyone. Perhaps soon it will be hosted by Amazon by their Opendata initiative. I would advocate to keep it in the GRIB2 format (the original format it is output as), but it would also be nice to store the data in a "cloud-friendly" format such as zarr. Some extensive experimentation is still needed to understand how best to chunk the data in a way that will be useful for all users while preserving the same compression of the data that is enjoyed by the GRIB2 format.
If I were in charge of the HRRR, I would like to see a more rapid data assimilation cycle and run the model every 15 minutes out to a 48 hour forecast. This would ultimately create 7 times as much data while providing a 96 members for time-lagged ensembles. Maybe different physics parameters could be used in each 15 minute model run to produce more model spread. My dream for a future weather prediction system is a model that is continuously updating rather than rapidly updating.
The main concept of this archive is to create a HRRR archive in one place that is easily accessible so researchers don't have to redundantly store local archives, with the purpose to provide the data you need, when you need it.
Who archives the HRRR data?
The HRRR archive at the University of Utah is managed by Brian Blaylock and the MesoWest group on resources at Utah's Center for High Performance Computing. It can also be found in the University of Utah Hive. Please contact Brian with questions regarding the archive.
Why do we archive the HRRR?
While you can find current HRRR output at NOMADS, there is no official HRRR archive that is publicly and easily available, to our knowledge. This "gap" in the NOAA data archives will hopefully be filled in the future, seeing that their vision is that all NOAA environmental data shall be Discoverable, Accessible, Useable, and Preserved. We hope to be part of the solution to that goal.
This HRRR archive has been created to support various research endeavors in the Department of Atmospheric Sciences at the University of Utah. Things we do include:
- Initialize the Weather Research and Forecast (WRF) model with HRRR analyses as initial and boundary conditions. More info here.
- Model verification, where HRRR analyses and forecasts are compared to observed conditions.
- Retrospective analysis of high-impact weather events.
- Basic statistics of variables (max, min, mean, percentiles).
- Potential work with machine learning applications.
This archive allows us to perform analysis of the HRRR model performance, independent of the ESRL folks, for our own research purposes and goals.
Archive methods are becoming more important with increasing requirements by funding agencies to maintain archives of the data used in research grants. The University of Utah is setting up a framework for handling such requirements through what they call The Hive. This HRRR archive was used as a test case for how that framework can be used for very large data sets.
We hope this archive will increase the volume of research and model validation using the HRRR model
that otherwise could not be done. In the future, the HRRR may be archived as part of NOAA's Big Data
Project. This will lead to additional uses of model forecasts and analyses in cloud computing
environments and research done with rapidly updating forecast systems.
You are welcome to use the archive for your own research, but as a courtesy, please register and read the "Best Practices" document before downloading from the archive.
Where else can I find archived HRRR data?
- NOMADS: Last two days (main source)
-
Google Cloud Platform:
MOST COMPLETE. 2014-Present. Wow! When did NOAA start this HRRR archive on Google?
They have all
sfc
,prs
,nat
,subh
and other fields for the Alaska and CONUS domains that were available. Unfortunately, the .idx files are not available for dates earlier than around Oct. 2018, but hey, they have it all! - Amazon AWS S3: NOAA Big Data Program HRRR archive back to 2014 (missing .idx before January 14th??) (Zarr format coming soon)
- ESRL: 2013-2017, only F01 for 80-m winds and downward solar radiation
- NOAA ARL: June 2015 to present, selected variables and levels in ARL format for f01
Where is the HRRR archive?
The archive is physically located at the University of Utah Downtown Data Center in Salt Lake City, Utah. It is hosted on Utah's Center for High Performance Computing Pando archive storage system.
This object storage system is similar to Amazon's S3 storage, but this is less expensive. We currently have a 60 TB allocation with a storage rate of ~50 GB/day. Pando Archive Usage
But you probably aren't interested in it's physical location. You want to know how to download from the archive. Lucky for you, the data is publicly available to those outside the University of Utah. We only ask that you fill out the registration form before downloading. The registration form helps us keep track of the number of people who find this data useful, which helps us justify making the archive available to you. Archive Registration
After registering, you will be redirected to the interactive download page. Click the "Scripting Tips" button for how-to instructions to download from Pando with wget or cURL. These tips also show how you can target specific variables you are interested without downloading the entire file. This will save you space an download time.
What is the Pando archive?
Pando is a colony of quaking aspen trees in southern Utah, thought to be the oldest and largest living organism in the world, linked together by the same root system. According to Wikipedia, Pando is Latin for "I spread". The name is fitting for the CHPC object storage system because of its resilience and scalability, like the tree system.
The underlying software running Pando is Ceph, a project supported by RedHat. While Ceph can be configured in a few ways, in this archive Ceph manages the data objects with the Amazon S3 API. It is a separate "island" from the rest of CHPC file system so that output from other programs cannot write directly to it. Instead, files are copied to Pando through utilities like rclone or s3cmd.
Pando is built in three parts. All of these can be scaled to meet needs of the growing archive.
- 9 OSD Servers (16 8TB drives, each) - These contain the data objects.
- 3 Monitors - Monitors keep a map of the data objects. When a request for data is made, these monitors are contacted for the object map and return the object's ID.
- 1 RADOS Gateway node - You, as the client, make requests through this gateway for data downloads.
Adapted from Sam Liston
What days are available to download?
The HRRR archive begins on 15 July 2016. Browse the interactive web download page for a visual sense of what data files are available each day.
We store all the operational analyses and forecast for the surface fields. Unfortunately, we decided the pressure field files (~315 MB) are too large for us to save the forecast hours. We store analyses of the experimental HRRR and HRRR Alaska models.
Timeline:
- 2015-04-18: The HRRR archive is born! Only HRRR analysis hours (f00) were stored for sfc and prs files.
- 2016-07-27: Began storing HRRR 15 hour sfc forecasts.
- 2016-08-24: Began storing HRRR 18 hour sfc forecasts (HRRRv2 became operational).
- 2016-12-01: Began storing experimental HRRR-Alaska. prs analyses and select sfc variables for analyses and forecasts.
- 2016-12-01: Began storing available experimental HRRR surface analyses.
- 2017-03-01: Moved HRRR archive from local file system to Pando storage.
- 2017-06-08: Began storing all available HRRR-Alaska sfc variables.
- 2017-12-27: Pando Failed All prior data was lost.
- 2017-12-28: Pando Rebuilt
- 2017-02-26: Backfilled to 2016-07-15 HRRRv2 data from The Climate Corporation.
- 2018-07-12: HRRRv3 Upgrade and HRRR-Alaska becomes operational.
- 2020-12-02: HRRRv4 Upgrade.
Who uses the HRRR archive?
Many people are interested in the HRRR archive, including yourself (obviously, or else you wouldn't have Googled HRRR archive).
The initial purpose of this HRRR archive was to serve atmospheric science research at the University of Utah, particularly my own research for my Master and PhD degrees. For example, I used HRRR analyses to initialize WRF simulations.
The archive is searched for quite often by people like you. Since this archive has been published online I have received inquiries and download requests from National Weather Service employees, NASA scientists, researchers at the National Institute of Standards and Technology, a United State Air Force Captain, employees at NVIDIA, Lockheed Martin, commercial wind power companies, university professors, graduate students, airline forecasters, post docs, the USDA Agriculture Research Services, dozens of students working on capstone project, and many others.
The HRRR archive allows researchers to use past weather data at high temporal and spatial resolution without the need to run their own WRF simulations. This is a huge time saver.
How is the HRRR archive useful to you? Send me an email and let me know.
Update: NOAA now has an archive on Google Cloud Platform.
Known published works that used this HRRR archive:
Abatzoglou, A.T., C.M. Smith, D.L. Swain, T. Ptak, and C.A. Kolden, 2020: Population exposure to pre-emptive de-energization aimed at averting wildfires in Northern California. Environ. Res. Lett., 15, 1-8, https://doi.org/10.1088/1748-9326/aba135
Blaylock, B.K., J.D. Horel, and E.T. Crosman, 2017: Impact of Lake Breezes on Summer Ozone Concentrations in the Salt Lake Valley. J. Appl. Meteor. Climatol., 56, 353-370, https://doi.org/10.1175/JAMC-D-16-0216.1
Blaylock, B.K., J.D. Horel, and C. Galli, 2018: High-Resolution Rapid Refresh Model Data Analytics Derived on the Open Science Grid to Assist Wildland Fire Weather Assessment. J. Atmos. Oceanic Technol., 35, 2213–2227, https://doi.org/10.1175/JTECH-D-18-0073.1.
Blaylock, B.K. and J.D. Horel, 2020: Comparison of Lightning Forecasts from the High-Resolution Rapid Refresh Model to Geostationary Lightning Mapper Observations. Wea. Forecasting, 35 , 401-416, https://doi.org/10.1175/WAF-D-19-0141.1.
Bowes, B., J. Sadler, M. Morsy, M. Behl, and J. Goodall, 2019: Forecasting Groundwater Table in a Flood Prone Coastal City with Long Short-term Memory and Recurrent Neural Networks. Water, 11, 1-38, https://doi.org/10.3390/w11051098.
Cann, M.D. and K. Friedrich, 2020: The Role of Moisture Pathways on Snowfall Amount and Distribution in the Payette Mountains of Idaho. Mon. Wea. Rev., 148 2033–2048, https://doi.org/10.1175/MWR-D-19-0350.1.
Cao, Y., and A.P. Barros, 2020: Weather-Dependent Nonlinear Microwave Behavior of Seasonal High-Elevation Snowpacks. Remote Sens., 12, 3422 1-35, http://dx.doi.org/10.3390/rs12203422.
Ditchek, S.D., K.L. Corbosiero, R.G. Fovell, and J. Molinari, 2020: Electrically Active Diurnal Pulses in Hurricane Harvey (2017). Mon. Wea. Rev., 148 2283-2305, https://doi.org/10.1175/MWR-D-20-0022.1.
Handler, S. L., H. D. Reeves, and A. McGovern, 2020: Development of a Probabilistic Subfreezing Road Temperature Nowcast and Forecast Using Machine Learning. Wea. Forecasting, 35, 1845-1863, https://doi.org/10.1175/WAF-D-19-0159.1.
Harkema, S., 2019: Improving Situational Awareness of Heavy-Snowfall Using the Geostationary Lightning Mapper. The University of Alabama in Huntsville, ProQuest Dissertations Publishing, 2019. 22592216. ProQuest link
Harkema, S.S., E.B. Berndt, and C.J. Schultz, 2020: Characterization of Snowfall Rates, Totals, and Snow-to-Liquid Ratios in Electrified Snowfall Events Identified by the Geostationary Lightning Mapper. Wea. Forecasting, 35, 673-689, https://doi.org/10.1175/WAF-D-19-0126.1
Jackson, R., S. Collis, T. Lang, C. Potvin, and T. Munson, 2020: PyDDA: A Pythonic Direct Data Assimilation Framework for Wind Retrievals. Journal of Open Research Software, 8(1), 20. http://doi.org/10.5334/jors.264.
Jain, R., Luo, X., Sever, G., Hong, T., and Catlett, C., 2018: Representation and evolution of urban weather boundary conditions in downtown Chicago. J. of Building Performance Simulation, https://doi.org/10.1080/19401493.2018.1534275.
Lee, T.R., M. Buban, D.D. Turner, T.P. Meyers, and C.B. Baker, 2019: Evaluation of the High-Resolution Rapid Refresh (HRRR) Model Using Near-Surface Meteorological and Flux Observations from Northern Alabama. Wea.Forecasting, 34, 635-663, https://doi.org/10.1175/WAF-D-18-0184.1 .
McCorkle, T.A., J.D. Horel, A.A. Jacques, and T. Alcott, 2018: Evaluating the Experimental High-Resolution Rapid Refresh-Alaska Modeling System Using USArray Pressure Observations. Wea. Forecasting, 33, 933-953, https://doi.org/10.1175/WAF-D-17-0155.1.
McNicholas, C. and C.F. Mass, 2018: Impacts of Assimilating Smartphone Pressure Observations on Forecast Skill during Two Case Studies in the Pacific Northwest. Wea. Forecasting, 33, 1375-1396, https://doi.org/10.1175/WAF-D-18-0085.1.
Moore, B.J., A.B. White, D.J. Gottas, and P.J. Neiman, 2020: Extreme precipitation events in northern California during winter 2016-2017: Multiscale analysis and climatological perspective. Wea. Forecasting, 148, 1049-1074, https://doi.org/10.1175/MWR-D-19-0242.1.
Poolla, C., and A. K. Ishihara, 2018: Localized solar power prediction based on weather data from local history and global forecasts. 45th IEEE Photovoltaic Specialists Conference. Link.
Radford, J.T., G.M. Lackmann, and M.A. Baxter, 2019: An evaluation of snowband predictability in the High-Resolution Rapid Refresh. Wea. Forecasting, 34, 1477-1494, https://doi.org/10.1175/WAF-D-19-0089.1.
Radhakrishnan, C. and V. Chandrasekar, 2020: CASA Prediction System over Dallas Fort Worth Urban network: Blending of nowcasting and high-resolution Numerical Weather Prediction model. J. Atmos. Technol., 37, 211-228, https://doi.org/10.1175/JTECH-D-18-0192.1.
Reynolds, D., J. M. Pflug, J. D. Lundquist, 2020: Evaluating Wind Fields for Use in Basin-Scale Distributed Snow Models. Water Resources Research, In Press https://doi.org/10.1029/2020WR028536.
Rosenow, A.A., K. Howard, and J. Meitin, 2018: Gap-Filling Mobile Radar Observations of a Snow Squall in the San Luis Valley. Mon. Wea. Rev., 146, 2469-2481, https://doi.org/10.1175/MWR-D-17-0323.1.
Zick, S. E., 2020: Quantifying Extreme Precipitation Forecasting Skill in High-Resolution Models Using Spatial Patterns: A Case Study of the 2016 and 2018 Ellicott City Floods Atmosphere, 11, 1-25, https://doi.org/10.3390/atmos11020136.
Gallery
Online Tools
HRRR Statistics with Open Science Grid
I'm using the Open Science Grid to calculate long term statistics, calculated for +/- 15 days for every hour of the day for all the HRRR files in our archive. I calculate the following percentiles [0,1,2,3,4,5,10,25,33,50,66,75,90,95,96,97,98,99,100].
The HRRR analyses mean winds are comparable with the results of James et al. 2017.
Plot HRRR Data with Python
A handy-dandy Jupyter Notebook for making various maps.
Also, a notebook on overlaying GOES-16 images with HRRR data.
Overlaying HRRR and #GOES16 data in Python pic.twitter.com/wYY4TaxWpQ
— Brian Blaylock (@blaylockbk) September 22, 2017
Initialize WRF
I use the HRRR analyses to initialize WRF's boundary and initial conditions. Check out my instructions for initializing WRF with the HRRR here: https://home.chpc.utah.edu/~u0553130/Brian_Blaylock/hrrr.html
2017 Solar Eclipse
Solar radiation from @mesowestutah, operational HRRR, and experimental HRRR during #Eclipse2017 Thanks, @NOAA_ESRL pic.twitter.com/hHoBNWVW2m
— Brian Blaylock (@blaylockbk) August 22, 2017
Model Verification
2-day Time Series: Time series graphs of observed values for select MesoWest stations and HRRR values for f00, f06, f12, and f18 for the last two days. Check out the HRRR Point Forecasts page, and select the clock next to a station to view verification of the HRRR model for the last two days.
"Hovmoller" Diagram: Imagine a Hovmoller diagram with forecast hour on the y-axis and valid time on the x-axis. These are created for a variable over each HRRR forecast hour and compare with the observed value. On the HRRR Point Forecasts page, select the clock next to a station and click "Hovmoller". GitHub Code
Quantify inversion strength during the Utah Fine Particulate Air Quality Study, January 2017.
New England Snow Storm, March 13-14 2017
Great Salt Lake surface temperature (before HRRR assimilation was fixed)
Other People
Matt Lammers from NASA combined HRRR 925 mb winds with GMI and IMERG precipitation data for visualization of Hurricanes.
Tips for CHPC Users
Do you work/study at the University of Utah, too? Cool! Go Utes!! Here are a few helpful tips that will make your life easier. That is, if your life involves using HRRR data from our handy archive. Please share with me cool stuff you learn!
I have stuff in my own Pando buckets. How can I view those files in a browser?
The HRRR download page is a custom-built interface for accessing files in the HRRR buckets, but what if you have your own buckets in Pando? You're in luck, because I created this more generic web interface for viewing and downloading file objects in your Pando buckets that look more like the Apache file explorer.
How full is our Pando allocation?
View the amount of space used on our Pando. Pando Allocation
Is the archive on the local file system?
Yes, we keep a backup of the HRRR archive on horel-group7.
Then navigate to the HRRR directory you are interested:
- hrrr
- hrrrX
- hrrrak
- GOES16
Want a behind-the-scenes tour of the HRRR archive?
The process we use to downloading HRRR and move HRRR to the Pando archive system is documented on GitHub. Horel-S3
How do I get the HRRR data if what I'm looking for is compressed?
If you find that what you're looking for is compressed, the following instructions will help get what you need:
-
Copy the models.tar.gz file to your own space. Yes, this is large (~20 GB). It contains all the model data we archive (I warned you that this was inefficient).
-
Before untarring the entire directory, you can check if it contains the files you need with something like this:
less -p /hrrr/hrrr.t models.tar.gz -
You can untar the entire file, but that would take a looonng time, and you don't need everything in that file anyways.
You can extract just the HRRR data with this one-liner...(still takes a bit of time)
tar -xzvf models.tar.gz 20160101/models/hrrr/Or you can get more creative and use the following to get just the pressure fields. (In this case it helps to know the contents of the tarred file). Starting in the directory you wish to copy the files into, type...
tar -zxvf models.tar.gz --wildcards --no-anchored 'hrrr.t*z.wrfprsf00.grib2'


What to Expect From Disney’s Streaming Service, Disney+
The new streaming service joins an increasingly competitive — and crowded — market.
by Layla IlchiDisney has joined the streaming service wars.
Following the launch of Apple’s streaming service, Apple TV+, earlier this month, Disney has launched its highly anticipated streaming service, Disney+, on Tuesday, joining the increasingly competitive and crowded market that also includes Netflix, Hulu and Amazon Prime Video.
The launch of Disney+ is arguably the most buzzed of the new streaming services, considering the entertainment giant is bringing together many of its beloved classics and cult-favorite franchises to the service.
From more than 7,500 TV episodes, 500 films and classic reboots to getting a free subscription, here is everything you need to know about Disney+.
When does Disney+ launch?
Disney+ launches on Nov. 12 in the U.S., Canada and the Netherlands. On Nov. 19, it will launch in Australia and New Zealand and on March 31, it will launch in the U.K., Germany, France, Italy and Spain. Disney expects to enter most major markets within two years of launch.
How do you access Disney+?
Disney+ can be accessed through its app on devices such as phones, tablets, computers and TVs. The streaming service will be compatible with Amazon Fire TV, Apple TV, Roku, Samsung, LG, Xbox One and PlayStation 4.
What original content will Disney+ offer?
Disney+ is also getting into the original content game, building off of its existing material for new TV shows and limited series.
From the Marvel Cinematic Universe, Disney+ is developing four limited series focusing on a number of its superhero characters for Loki, Hawkeye, “WandaVision” and “The Falcon and the Winter Soldier.” The series are set to be released over the next two years.
Other original content available at launch include “High School Musical: The Musical: The Series,” “The Mandalorian,” “The World According to Jeff Goldblum” and a remake of “Lady and the Tramp.”
What TV shows and movies are available on Disney+?
Disney+ will offer more than 7,500 TV episodes and 500 movies from its historic cannon of work. The streaming service is a goldmine for Marvel, “Star Wars” and Pixar fans with offerings like the recent blockbuster hit, “Avengers: Endgame,” as well as “Captain Marvel,” “Guardians of the Galaxy,” “Finding Nemo,” “Frozen” and “Star Wars” episodes one through seven.
It will also offer many classic Disney films, including “Mary Poppins,” “Snow White and the Seven Dwarfs,” “The Little Mermaid” and “Toy Story,” and beloved TV shows of the Aughts such as “Boy Meets World,” “Kim Possible” and “That’s So Raven.”
The service is also the exclusive streaming home of 30 seasons of “The Simpsons.”
How much is a Disney+ subscription?
Disney+ is $6.99 a month, or $69.99 a year. One subscription includes up to seven profiles and can handle four simultaneous streams. The streaming service is also offering a bundled subscription that includes ESPN+ and an ad-version of Hulu all for $12.99. A one-year free subscription is offered to Verizon customers with an unlimited plan and new customers of Verizon’s Fios Internet services.
Read more here:
Brie Larson and Scarlett Johansson Wear Avengers-Themed Jewelry at Film Premiere
All the Celebrity Fashion at San Diego Comic-Con
Brie Larson Cried When She Saw Young Girls Dressed as Captain Marvel
WATCH: Cindy Crawford Reveals How She Became a Supermodel and Business Mogul


The World of Greyhawk Server requires Neverwinter Nights 1.69 (or the Enhanced Edition–there are currently two servers running) including both the Shadows of the Undrentide and the Hordes of the Underdark expansions as well as the Community Expansion Project version 2.65. This allows for a wide variety of content and helps provide players with the best possible experience.
To download the CEP, visit the Vault.
This override adds three new domains that can be used on this server: Law, Chaos, and Luck. Download from the Vault and add to your override folder.
DM Raine collected a lot of portraits over time and posted the good ones to the Vault. Just download this collection into your portraits folder (to use them for your characters) or your override folder (to see others' portaits).
DM Raine endorses these enhancments to creature appearances. Just download into your override folder: Lord of Worms - Creature Pack
A popular change to the user interface: Complete GUI Alterations Package
It is highly recommended that players not use other overrides (other than GUI/Interface ones) as this can affect the overall performance of the server.


Please make sure your oven camera is on, then click the search button.
Please enter your Wifi username and password so we can get your camera connected and setup.
Your oven cam is setup and ready to view.


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2. Club membership related CASE STUDY
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1.
Canceled after applying for club membership. Can I join another club immediately?
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| Yes, but there are a number of times you can do this a day. | ||||
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2. I want to join a club, but I can't find the join button.
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Club may be blocked from club membership request, is blocked by the GM or you do not have the required level that the club has determined to join the club. |
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| 3. I have withdrawn from a club, but I cannot join another club. | ||||
| If you have any problems please contact one of the GM. | ||||
| 4. was forcibly withdrawn regardless of my intention. What should I do? | ||||
| You can do nothing was a decision of the club master. | ||||


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{% extends "mxv/base.html" %} {% load static %} {% block title%}Labour’s Democracy Review - Platform FAQ{% endblock %} {% block breadcrumb %}
After conference, the Labour Party launched the Democracy Review which will address a broad range of areas of party reform. By consulting with members, CLPS and trade union affiliates, Labour will canvass your opinion on how we can transform Labour into a 21st century, social movement style party.
The review is an unprecedented opportunity for ordinary members to input into the culture, rules and structure of the Labour Party, and to build a groundswell of support for a new kind of political party that can win the next election and transform Britain at every level.
By submitting it into Momentum’s Digital Democracy Review platform, you will be able to generate a broader discussion of your ideas, and potentially build up a consensus of support behind them. If your ideas are then adopted as finalised Momentum submissions, they will be circulated to all members, who will be encouraged to submit them directly and through their CLPs, and will therefore be likely to obtain a higher number of submissions into the Review. Of course, participating in Momentum’s Digital Democracy Review does not prevent Momentum and Labour Party members from submitting the proposal into the Review directly.
No. The most important thing is for the precise objective of the proposal to be clearly outlined, and good suggestions can of course be refined down the line in order to make them viable and bring them into line with the Rule Book if necessary. However, if members want to propose specific detailed rule changes, that is also fine.
All proposals, comments, and suggested amendments need to be in line with Momentum’s Code of Ethics, as well as being within the remit of the Democracy Review. Proposals contravening the Code of Ethics or which are clearly not attempts to advance serious discussions about party democracy will be removed. The moderation policy is available here, and it is the collective responsibility of all Momentum members to ensure it is implemented by flagging up contributions which don’t adhere to these rules.
If you are stuck for ideas, contacting your local Momentum group or CLP to discuss, and please also see our Ideas from Grassroots Activists document. Rule changes which have been submitted by CLPs into the annual Labour Party Conference can also be re-submitted into Momentum’s Digital Democracy platform if members want to ensure they are returned to the party reform agenda.
Each member can make one proposal per theme.
The point of the nominations system is to provide strong indications to the NCG and Momentum membership what the most popular proposals are.
All proposals will be considered, but proposals with high numbers of nominations will be given preference by the NCG, and their proposers will be directly consulted during the formulation of the finalised submissions before putting them to an all member ballot.
A panel of NCG representatives will decide which proposals get put to a final all member ballot. A staff member will consult the proposers of the most popular proposals in each theme on behalf of the NCG before drafting the finalised proposals. The NCG panel shall have authority to decide which parts of proposals are put into finalised submissions which are put to the vote.
They will be sent to all Momentum members, who will be encouraged to submit them directly into the Democracy Review as individuals, as well as to pass them through their CLPs to submit into the Review.
As the leading democratic body of Momentum and the key advisory body, proposals from the NCG and Members’ Council will automatically be considered by the NCG panel before being put to an OMOV Ballot. However, members can still suggest amendments to them and make comments on them.
The official deadline for Track 1 submissions passed on January 12th. However, CLPs can still submit proposals under Track 1 after that deadline, and discussions over the three themes will continue as well. For this reason, Momentum members can use the Digital Democracy platform to suggest amendments to Momentum’s recommended submissions under these three areas.
At the launch of the platform, only individual members will be able to make proposals. However we are looking at allowing key contacts in each group to make proposals on behalf of groups. This functionality will be available shortly.
All Momentum members are allowed to participate. Members who breach the code of ethics or terms of Momentum’s constitution may have their access withdrawn.
The deadline may have passed but the debate will continue! Please email your thoughts to<EMAIL_ADDRESS>{% endblock %}


Features
Framework with major highlights
- Able to give CSV file name.
- Able to set CSV headers using fields.
- Able to convert JSON string into CSV.
- Able to Read the CSV file and convert to NSDictionary.
- Support CocoaPods, mac OS and Vapor framework(Swift Package Manager).
iOS/MacOS import headers
First thing is to import the framework. See the Installation instructions on how to add the framework to your project.
// iOS
import SwiftCSVExport
// macOS
import SwiftCSVExportOSX
Examples
Example 1 - Able to convert NSMutableDictionary into CSV
// First User Object
let user1:NSMutableDictionary = NSMutableDictionary()
user1.setObject("vignesh", forKey: "name" as NSCopying);
<EMAIL_ADDRESS>forKey: "email" as NSCopying);
// Secound User Object
let user1:NSMutableDictionary = NSMutableDictionary()
user1.setObject("vinoth", forKey: "name" as NSCopying);
<EMAIL_ADDRESS>forKey: "email" as NSCopying);
// Add fields into columns of CSV headers
let fields:NSMutableArray = NSMutableArray()
fields.add("name");
fields.add("email");
// Add dictionary into rows of CSV Array
let data:NSMutableArray = NSMutableArray()
data.add(user1);
data.add(user2);
let filePath:String = SwiftCSVExport.exportCSV("userlist",fields: fields,values: data);
print(filePath)
Write Output
Output: userlist.csv
name,email
<EMAIL_ADDRESS><EMAIL_ADDRESS>Example 2 - Able to convert JSON string into CSV.
// Able to convert JSON string into CSV.
let string = "[{\"name\":\"vignesh\",\"email\":\"vigneshuvi<EMAIL_ADDRESS>let filePath:String = exportCSV("userlist", fields:["name","email"], values:string);
print(filePath)
// Read File
let fileDetails = readCSV(filePath);
// Use 'SwiftLoggly' pod framework to print the Dictionary/span>
if fileDetails.allKeys.count > 0 {
loggly(LogType.Info, dictionary: fileDetails)
}
Read Output
[💙 Info - Feb 7, 2017, 4:19:23 PM]: {
"rows" : [ { "name" : "vignesh", "email"<EMAIL_ADDRESS>},
{"name" : "vinoth", "email"<EMAIL_ADDRESS>} ],
"name" : "userlist.csv",
"fields" : ["name", "email"] }
That will create a CSV file in the proper directory on both OS X and iOS.
OS X CSV files will be created in the OS X Exports directory (found under: /Library/Exports). The iOS CSV files will be created in your apps document directory under a folder called Exports.
Configuration
//Set the name of the csv file
CSVExport.export.fileName = "Sample" //default is "csvfile"
//Set the directory in which the csv files will be written
CSVExport.export.directory = "/Library/XXX-folder-name-XXX" //default is the standard exporting directory for each platform.
Installation
CocoaPods - To use SwiftCSVExport in your project add the following 'Podfile' to your project
platform :ios, '8.0'
use_frameworks!
pod 'SwiftCSVExport'
Then run:
pod install || pod update
Swift Package Manager for Vapor
You need to add to dependencies in your 'Package.swift' and fetch Swift module using terminal comment.
// Vapor
dependencies: [ .Package(url: "https://github.com/vigneshuvi/SwiftCSVExport.git", majorVersion: 1, minor: 0) ]
Then run:
vapor build || vapor xcode
// Importing header
import SwiftCSVExport
License
SwiftCSVExport is licensed under the MIT License.
Source available here!! SwiftCSVExport


{% extends "mails/base_mail.html" %} {% block content %}
Howdy {{first_name}}, People you may know are now using UniShared:


Has Behringer hidden a secret Warp Drive button in its Model D synthesizer?
by Simon ArblasterHas Behringer hidden a secret Warp Drive button in its Model D synthesizer?
Behringer has dropped another synth-based teaser video, but this time it's not a brand new product, or is it?
The Music Tribe brand's version of the Moog Model D has been around for a couple of years now, but it would seem that the Minimoog emulation has been harbouring a secret that Uli Behringer has kept under his hat, until now.
In this video we see a slightly confused Behringer employee taking a call from Uli eluding to a secret compartment within the synth that features a 'Warp Drive' button.
There have been numerous videos showing the insides of a Behringer D and so far no one has found such a compartment.
In true Behringer fashion, the video is just the beginning and the story will be continued, so be sure to stay tuned from more developments.