---
layout: post
title: Support for Http PATCH
date: 2010-10-18 17:45:16.000000000 +08:00
categories:
- OData protocol
tags: []
status: publish
type: post
published: true
author: OData.org Archive
---
OData has supported two types of updates for a while now:
-
Replace Semantics via a standard PUT: this updates the whole entry with what has been provided on the wire, so any properties missing from the wire will be reset to their default values.
-
Merge Semantics via a MERGE tunneled through POST using the X-Http-Method header: this updates only the properties on the wire, so any properties missing will be left unchanged.
Now when we added MERGE there wasn't a standard HTTP way to request merge semantics.
However
PATCH is now a standard, and is semantically equivalent to OData's MERGE.
So we think - given our principle of adopting HTTP and ATOM standards wherever possible - that the next version of OData should support both PATCH and MERGE, and treat PATCH requests like MERGE requests.
Thoughts?
Alex


Interested in CRISPR, Economics, and all things Chicago !
Started a Leukemia Lymphoma Society chapter and lead 40 students in a fundraiser, culminating in $7,100
Interned with the RAND Coroporation for 3 weeks to help set up the PHRESH data survey, developing problem solving, profeciency in Microsoft Word, and More
Learned about molecular biology and the multitude of instruments used for experimentation
Furthering my education in the sciences and the humanities


Package Managers Workflow
Introduction
This document aims to provide you the necessary documentation and sources in order to help you understand the importance of dependencies between packages.
Projects in node.js make use of modules, chunks of reusable code made by other people or teams. These small chunks of reusable code are called packages [1]. Packages are used to solve specific problems or tasks. These relations between your project and the external packages are called dependencies.
For example, imagine we are doing a small program that takes your birthday as an input and tells you how many days are left until your birthday. We search in the repository if someone has published a package to retrieve the actual date and manage date types, and maybe we could search for another package to show a calendar, because we want to optimize our time, and we wish the user to click a calendar button and choose the day in the calendar instead of typing it.
As you can see, packages are convenient. In some cases, they may be even needed, as they can manage aspects of your program you may not be proficient in, or provide an easier use of them.
For more comprehensive information visit npm definition
.1. Package.json
Dependencies in your project are stored in a file called package.json. Every package.json must contain, at least, the name and version of your project.
Package.json is located in the root of your project.
| If package.json is not on your root directory refer to Problems you may encounter section |
If you wish to learn more information about package.json, click on the following links:
.1.1. Content of package.json
As you noticed, package.json is a really important file in your project. It contains essential information about our project, therefore you need to understand what’s inside.
The structure of package.json is divided in blocks, inside the first one you can find essential information of your project such as the name, version, license and optionally some Scripts.
{
"name": "exampleproject",
"version": "0.0.0",
"license": "MIT",
"scripts": {
"ng": "ng",
"start": "ng serve",
"build": "ng build",
"test": "ng test",
"lint": "ng lint",
"e2e": "ng e2e"
}
The next block is called dependencies and contains the packages that project needs in order to be developed, compiled and executed.
"private": true,
"dependencies": {
"@angular/animations": "^4.2.4",
"@angular/common": "^4.2.4",
"@angular/forms": "^4.2.4",
...
"zone.js": "^0.8.14"
}
After dependencies we find devDependencies, another kind of dependencies present in the development of the application but unnecessary for its execution. One example is typescript. Code is written in typescript, and then, transpiled to javascript. This means the application is not using typescript in execution and consequently not included in the deployment of our application.
"devDependencies": {
"@angular/cli": "1.4.9",
"@angular/compiler-cli": "^4.2.4",
...
"@types/node": "~6.0.60",
"typescript": "~2.3.3"
}
Having a peer dependency means that your package needs a dependency that is the same exact dependency as the person installing your package
"peerDependencies": {
"package-123": "^2.7.18"
}
Optional dependencies are just that: optional. If they fail to install, Yarn will still say the install process was successful.
"optionalDependencies": {
"package-321": "^2.7.18"
}
Finally you can have bundled dependencies which are packages bundled together when publishing your package in a repository.
{
"bundledDependencies": [
"package-4"
]
}
Here is the link to an in-depth explanation of dependency types.
.1.2. Scripts
Scripts are a great way of automating tasks related to your package, such as simple build processes or development tools.
For example:
{
"name": "exampleproject",
"version": "0.0.0",
"license": "MIT",
"scripts": {
"build-project": "node hello-world.js",
}
You can run that script by running the command yarn (run) script
or npm run script
, check the example below:
$ yarn (run) build-project # run is optional
$ npm run build-project
There are special reserved words for scripts, like preinstall, which will execute the script automatically before the package you install are installed.
Chech different uses for scripts in the following links:
Or you can go back to
Content of package.json.
.2. Managing dependencies
In order to manage dependencies we recommend using package managers in your projects.
A big reason is their usability. Adding or removing a package is really easy, and by doing so, packet manager update the package.json and copies (or removes) the package in the needed location, with a single comand.
Another reason, closely related to the first one, is reducing human error by automating the package management process.
Two of the package managers you can use in node.js projects are "yarn" and "npm". While you can use both, we encourage you to use only one of them while working on projects. Using both may lead to different dependencies between members of the team.
.2.1. npm
We’ll start by installing npm following this small guide here.
As stated on the web, npm comes inside of node.js, and must be updated after installing node.js, in the same guide you used earlier are written the instructions to update npm.
How npm works
In order to explain how npms works, let’s take a command as an example:
$ npm install @angular/material @angular/cdk
This command tells npm to look for the packages @angular/material and @angular/cdk in the npm registry, download and decompress them in the folder node_modules along with their own dependencies. Additionally, npm will update package.json and create a new file called package-lock.json.
After initializating and installing the first package there will be a new folder called node_modules in your project. This folder is where your packages are unzipped and stored, following a tree scheme.
Take in consideration both npm and yarn need a package.json in the root of your project in order to work properly. If after creating your project don’t have it, download again the package.json from the repository or you’ll have to start again.
Brief overview of commands
If we need to create a package.json from scratch, we can use the comand init. This command asks the user for basic information about the project and creates a brand new package.json.
$ npm init
Install (or i) installs all modules listed as dependencies in package.json locally. You can also specify a package, and install that package. Install can also be used with the parameter -g
, which tells npm to install the Global package.
$ npm install
$ npm i
$ npm install Package
Earlier versions of npm did not add dependencies to package.json unless it was used with the flag --save , so npm install package would be npm install --save package, you have one example below.
|
$ npm install --save Package
Npm needs flags in order to know what kind of dependency you want in your project, in npm you need to put the flag -D
or --save-dev
to install devdependencies, for more information consult the links at the end of this section.
$ npm install -D package
$ npm install --save-dev package
The next command uninstalls the module you specified in the command.
$ npm uninstall Package
ls
command shows us the dependencies like a nested tree, useful if you have few packages, not so useful when you need a lot of packages.
$ npm ls
npm@@VERSION@ /path/to/npm └─┬<EMAIL_ADDRESS>└──<EMAIL_ADDRESS>We recommend you to learn more about npm commands in the following link, navigating to the section cli commands.
About Package-lock.json
Package-lock.json describes the dependency tree resulting of using package.json and npm. Whenever you update, add or remove a package, package-lock.json is deleted and redone with the new dependencies.
"@angular/animations": {
"version": "4.4.6",
"resolved"<EMAIL_ADDRESS>"integrity": "sha1-+mYYmaik44y3xYPHpcl85l1ZKjU=",
"requires": {
"tslib": "1.8.0"
}
This lock file is checked everytime the command npm i (or npm install) is used without specifying a package, in the case it exists and it’s valid, npm will install the exact tree that was generated, such that subsequent installs are able to generate identical dependency trees.
| It is not recommended to modify this file yourself. It’s better to leave its management to npm. |
More information is provided by the npm team at package-lock.json
.2.2. Yarn
Yarn is an alternative to npm, if you wish to install yarn follow the guide getting started with yarn and download the correct version for your operative system. Node.js is also needed you can find it here.
Working with yarn
Yarn is used like npm, with small differences in syntax, for example npm install module is changed to yarn add module.
$ yarn add @covalent
This command is going to download the required packages, modify package.json, put the package in the folder node_modules and makes a new yarn.lock with the new dependency.
However, unlike npm, yarn maintains a cache with packages you download inside. You don’t need to download every file every time you do a general installation. This means installations faster than npm.
Similarly to npm, yarn creates and maintains his own lock file, called yarn.lock. Yarn.lock gives enough information about the project for dependency tree to be reproduced.
yarn commands
Here we have a brief description of yarn’s most used commands:
$ yarn add Package
$ yarn add --dev Package
Adds a package locally to use in your package. Adding the flags --dev
or -D
will add them to devDependencies instead of the default dependencies, if you need more information check the links at the end of the section.
$ yarn init
Initializes the development of a package.
$ yarn install
Installs all the dependencies defined in a package.json file, you can also write "yarn" to achieve the same effect.
$ yarn remove Package
You use it when you wish to remove a package from your project.
$ yarn global add Package
Installs the Global package.
Please, refer to the documentation to learn more about yarn commands and their attributes: yarn commands
yarn.lock
This file has the same purpose as Package-lock.json, to guide the packet manager, in this case yarn, to install the dependency tree specified in yarn.lock.
Yarn.lock and package.json are essential files when collaborating in a project more co-workers and may be a source of errors if programmers do not use the same manager.
Yarn.lock follows the same structure as package-lock.json, you can find an example of dependency below:
"<EMAIL_ADDRESS>version "4.4.6"
resolved<EMAIL_ADDRESS>dependencies:
tslib "^1.7.1"
| As with package-lock.json, it’s strongly not adviced to modify this file. Leave its management to yarn |
You can learn more about yarn.lock here: yarn.lock
.2.3. Global package
Global packages are packages installed in your operative system instead of your local project, global packages useful for developer tooling that is not part of any individual project but instead is used for local commands.
A good example of global package is angular/cli, a command line interface for angular used in our projects. You can install a global package in npm with "npm install -g package" and "yarn global add package" with yarn, you have a npm example below:
npm install –g @angular/cli
.2.4. Package version
Dependencies are critical to the success of a package. You must be extra careful about which version packages are using, one package in a different version may break your code.
Versioning in npm and yarn, follows a semantic called semver, following the logic MAJOR.MINOR.PATCH, like for example, @angular/animations: 4.4.6.
Different versions
Sometimes, packages are installed with a different version from the one initially installed. This happens because package.json also contains the range of versions we allow yarn or npm to install or update to, example:
"@angular/animations": "^4.2.4"
And here the installed one:
"@angular/animations": {
"version": "4.4.6",
"resolved"<EMAIL_ADDRESS>"integrity": "sha1-+mYYmaik44y3xYPHpcl85l1ZKjU=",
"requires": {
"tslib": "1.8.0"
}
As you can see, the version we initially added is 4.2.4, and the version finally installed after a global installation of all packages, 4.4.6.
Installing packages without package-lock.json or yarn.lock using their respective packet managers, will always end with npm or yarn installing the latest version allowed by package.json.
"@angular/animations": "^4.2.4" contains not only the version we added, but also the range we allow npm and yarn to update. Here are some examples:
"@angular/animations": "<4.2.4"
The version installed must be lower than 4.2.4 .
"@angular/animations": ">=4.2.4"
The version installed must be greater than or equal to 4.2.4 .
"@angular/animations": "=4.2.4"
the version installed must be equal to 4.2.4 .
"@angular/animations": "^4.2.4"
The version installed cannot modify the first non zero digit, for example in this case it cannot surpass 5.0.0 or be lower than 4.2.4 .
You can learn more about this in Versions
.3. Problems you may encounter
If you can’t find package.json, you may have deleted the one you had previously,
which means you have to download the package.json from the repository.
In the case you are creating a new project you can create a new package.json. More information
in the links below. Click on Package.json if you come from that section.
| Using npm install or yarn without package.json in your projects will result in compilation errors. As we mentioned earlier, Package.json contains essential information about your project. |
If you have package.json, but you don’t have package-lock.json or yarn.lock the use of command "npm install" or "yarn" may result in a different dependency tree.
If you are trying to import a module and visual code studio is not able to find it, is usually caused by error adding the package to the project, try to add the module again with yarn or npm, and restart Visual Studio Code.
Be careful with the semantic versioning inside your package.json of the packages, or you may find a new update on one of your dependencies breaking your code.
| In the following link there is a solution to a problematic update to one package. |
A list of common errors of npm can be found in: npm errors
.3.1. Recomendations
Use yarn or npm in your project, reach an agreement with your team in order to choose one, this will avoid undesired situations like forgetting to upload an updated yarn.lock or package-lock.json. Be sure to have the latest version of your project when possible.
| Pull your project every time it’s updated. Erase your node_modules folder and reinstall all dependencies. This assures you to be working with the same dependencies your team has. |
AD Center recommends the use of yarn.


| Name: MR.VENKATESH S | Reg No: 3-9SMHC17 |
|---|---|
| Age / Sex:39/M | Contact No:<PHONE_NUMBER> |
| Marital Status:ML- 10 YRS | Date:1/9/17 |
| Occupation:ART OF LIVING ASSISTANCE | Dr. PJFP |
| Address: | DIAGNOSIS- |
LATERAL SIDE OF THUMB B/L BELOW ON THE SIDE ITCHING SINCE 1 YEAR. USE TO KEEP APPLYING CREAM BUT NO USE.
<BEFORE LYING, WORKING
HOT WATER.
GETS ERUPTIONS BTWN FINGERS.
STARTED OF WITH LEFT AND THEN EXTENDED TO RIGHT.
 BUT ONCE IN 5 – 6 MNGHTS KEEPS GETTING PAIN.
K/C/O HYPOTHYROIDISM. TAKING THYROXINE 50 MG.
ROUTINE CHECK AS HIS WIFES LAB WAS HAVING FREE TESTING.
ON AND OFF HEADACHE . GETS NO INTEREST IN ANYTHING THEN.
H/O GETTING MANY APTHOUS ULCERS NOW NOT GETTING FROM 2 YEARS.
ITCHING SCALP SINCE 10 YEARS. (USE TO WORK IN OIL FACTORY)
<ASWEAT FTER BATH. HAS DANDRUFF.
MORE SWEATS ON HEAD, HAND SWEATS, NOW REDUCED BUT GETS IN SUMMER.WHEN FEEAR THTH SOM1 MAY SCOLD OR HE DID MISTAKE GETS SWEAT IMM ON HANDS. EVEN ON FEET ALSO.
B/L FEET INBETWEEN LITTLE TOE FUNGAL INFECTION. ITCHING. < ERRATIC TIMES.
HAD H/O OF GASTRITIS. IF EATS ANYTHING HEAVY FEELS BLOATED AND LOSS OF APP FR NEXT MEAL. MUST EAT WATERY FRUITS TO REDUCE IT CUCUMBERS.
HAD H/O OF ALLERGIC RHINITIS AN YEAR AGO. NOW DOESN’T HAVE TOOK ALLO RX.
IF DRINKS TEA AND COFFEE FEELS NAUSEATED. SOUR EUCTATIONS.
TALKS MORE GETS THROAT PAIN.
HAS ANXIETY TO DO SOME WORK BEFORE HAND ITSELF.
BP: 130/96 MMHG.
RX:
SULPHUR 200 – 2 DOSES – WEEKLY WITH WATER.
SARSAPARILLA 30 – DISC BD WITH WATER B/FOOD.
LYCO 200 – 1 DOSE STAT.
NAT MUR 6X 4-0-4 A/FOOD.
21/9/17: 60% better than b4. <after bath agg.
Rx: repeat 1,2,3
Nat phos 6x+mag phos 6x – 4-4-4-4.
Robinia 30 1 dram pills- 4 sos.


URBAN LEGENDS: FINAL CUT RATING: 4/10 --> This movie sucks
For more reviews and movie screensavers, visit http://www.joblo.com/
The original URBAN LEGEND was not a good movie. It got hacked at the knees by the critics and clomped over the head at the box-office, with a little over $38 million in final grosses. So now that the whole "teen slasher" genre seems to be dissipating, what do you think is the best thing to do for a studio? Well, it's pretty obvious, no? Release a sequel to a film that wasn't so good in the first place and hope that its hackneyed plotline could resurrect the genre!! Yeesh, what are these people thinking...
PLOT: A bunch of college film students are completing their own movie projects with the hopes of winning the prestigious Hitchcock award, a prize which apparently leads directly to the riches of Hollywood. Suddenly, many of them start dropping like flies, as a mysterious killer begins his swatting. Will they live to finish their films? Will they ever figure out who the killer really is? Will Joey Lawrence ever make us forget all about "Blossom"? Find out below...
CRITIQUE: A fun opening scene leads to a great opening murder which eventually leads to one of the stupidest movies of the year. That's right, people. Stupid...just plain dumb! There were so many cool ways in which this film could have gone, but for some reason or another, the filmmakers decided to start off strong and then jump right into yet another pile of heaping teen slasher absurdity. It's funny because if there was one thing that everyone agreed on about the first film, it was the fact that the mystery of the murderer was so ridiculous, so "out there", that it reinforced much of the idiocy that came before it. Well, apparently nobody from this production decided to take any lessons away from the first go-around, and seriously mucked this one up even larger. I get the feeling that these screenwriters sit around thinking, "Who do you think is the one person which people would LEAST suspect? Okay, let's go with that then!" Uhhhm, okay that's fine fellas, but you know that it also has to make a little bit of sense, don't you? Just a little bit...c'mon...please!!
The sad part is that the first half hour of this movie is actually pretty good.  Unfortunately for the audience, that's where the "good" part of the movie ends. About half an hour into the film, a character just happens to "pop into" the picture and pretty much designates the exact spot at which the film ricochets into a downward spiral of implausibility, predictability and just plain stupidity.
It was as if another director suddenly took over from the guy who started. This second director might've been a fan of soap operas in his day, but that's another story. And that's when the "idiot moves" begin. Girl being chased, runs into a forest. Good move. Girl being chased again, runs up a million steps to get to the roof. Uhhhm, and that's gonna help you...how? And since when is there nobody, and I mean NOBODY else on a huge campus such as theirs!? I dare any of you to show me one other student who shows up anywhere in this film!  But don't fault the actors. They all actually do decent jobs with what they have to work with, especially Jennifer Morrison who gives a solid performance, and even Joey, oops, Joseph Lawrence who comes out of this one, unscathed. The problem is the script, the script and the script! Half an hour in, the plot is shot up like Swiss cheese and even though I was hoping for some kind of "twist ending" to save it all, all I got was a "twist ending" so completely out of left field, that it just had me laughing out loud. In fact, pretty much everyone in the audience was laughing at the last 30 minutes of this film. Not sure if that was the idea, but that's what happened here and deservedly so. Oh yeah, and the soundtrack was also non-existent (the teens will love that, Mr. Filmmaker, good move!). I can't say much more, but there it is.  Trust me, you'll have seen all that you need to see.
Little Known Facts about this film and its stars: Joey (Joseph) Lawrence's birth name is Joseph Mignogna Jr. This is Jennifer Morrison's first lead role in a picture, but she did have a crucial role in last year's under-appreciated thriller STIR OF ECHOES, in which she played "Samantha Kozac", the missing girl. This is director John Ottman's directorial debut, although he has been in the business for a number of years as a composer and editor. He composed the music and edited three Bryan Singer movies, THE USUAL SUSPECTS, APT PUPIL and PUBLIC ACCESS, and was the composer on several other "horror" flicks including LAKE PLACID, H20 and 1997's SNOW WHITE aka SNOW WHITE: A TALE OF TERROR. He also edited and composed the music for this film. There are two specific "inside" references to the original URBAN LEGEND movie in this film. The first is a scene in which two students are wearing the exact same parkas as the killer from the first movie. And the second is a scene which I will not ruin, but it's the last scene of the movie and it refers directly to the first one as well. That final one is actually pretty funny, with the Hitchcock music playing in the background, but much like the rest of the movie, it ultimately goes nowhere. Hart Bochner, the man who plays professor Solomon in this movie, is also a director himself. He directed the Zucker brothers' HIGH SCHOOL HIGH, and PCU back in 1994. He's probably best remembered for his role in the original DIE HARD movie.
Review Date: September 18, 2000 Director: John Ottman Writers: Paul Harris Boardman and Scott Derrickson Producers: Neil H. Moritz and Gina Matthews Actors: Jennifer Morrison as Amy Mayfield Joseph Lawrence as Graham Manning Matthew Davis as Travis Stark Genre: Horror Year of Release: 2000 ------------------------------------ JoBlo's Movie Emporium http://www.joblo.com/ ------------------------------------ (c) 2000 Berge Garabedian
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


{% for image in product.images.all %}
{% endfor %}
chevron_left
chevron_right
{{product.name}}
{% if perms.market.change_product %} {% endif %}$335
{{product.description|safe}}
An infusion of West Coast cool and New York attitude, Rebecca Minkoff is synonymous
with It girl style. Minkoff burst on the fashion scene with her best-selling
'Morning After Bag' and later expanded her offering with the Rebecca Minkoff
Collection - a range of luxe city staples with a "downtown romantic" theme.
- Storm and midnight-blue stretch cotton-blend
- Notch lapels, functioning buttoned cuffs, two front flap pockets, single vent, internal pocket
- Two button fastening
- 84% cotton, 14% nylon, 2% elastane
- Dry clean


The piffify executable¶
The normal way to construct a Piff PSF model is using the piffify executable program with a YAML configuration file:
piffify config_file
The configuration file should have three fields which define the different aspects of the process:
- input
Where to read the input images and catalogs.
- psf
What kind of model and interpolation to use to describe the PSF. Typically, this would have two subfields: model and interp.
model defines the shape of the PSF at a single location
interp defines how the model parameters are interpolated across the FOV.
- output
Where to write the output file.
Each field is governed by a :type: parameter (although there are useful defaults for all three primary top-level fields. This corresponds to different classes in the Python code. The other parameters in each field correspond to the initialization kwargs for the class.
For instance the following cofiguration file uses the PixelGrid
class for the model and
the Polynomial
class for interpolation. It uses the default
InputFiles
and OutputFile
for I/O. and SimplePSF
for
the PSF.:
input:
image_file_name: some_exposure/image*.fits.fz
cat_file_name: some_exposure/cat*.fits
x_col: X_IMAGE
y_col: Y_IMAGE
weight_hdu: 3
psf:
model:
type: PixelGrid
pixel_scale: 0.2
size: 64
interp:
type: Polynomial
order: 3
output:
file_name: some_exposure/piff_solution.fits
The functionality of the piffify executable is also available from python via
piffify()
and related functions.
-
piff.
piffify
(config, logger=None)[source]¶ Build a Piff model according to the specifications in a config dict.
This includes writing the model to disk according to the output field. If you would rather get the psf object in return, see the process function.
- Parameters
config – The configuration file that defines how to build the model
logger – A logger object for logging progress. [default: None]
-
piff.
read_config
(file_name)[source]¶ Read a configuration dict from a file.
- Parameters
file_name – The file name from which the configuration dict should be read.
-
piff.
setup_logger
(verbose=1, log_file=None)[source]¶ Build a logger object to use for logging progress
Note: This will update the verbosity if a previous call to setup_logger used a different value for verbose. However, it will not update the handler to use a different log_file or switch between using a log_file and stdout.
- Parameters
verbose – A number from 0-3 giving the level of verbosity to use. [default: 1]
log_file – A file name to which to output the logging information. [default: None]
- Returns
a logging.Logger instance
-
piff.
parse_variables
(config, variables, logger)[source]¶ Parse configuration variables and add them to the config dict
The command line variables should be specified as key=value. The key string can include dots, such as interp.order=2, which means to set:
config['interp']['order'] = 2
- Parameters
config – The configuration dict to which to write the key,value pairs.
varaibles – A list of (typically command line) variables to parse.
logger – A logger object for logging debug info.


Package
Class
Use
Tree
Deprecated
Index
Help
PREV LETTER
NEXT LETTER
FRAMES
NO FRAMES
All Classes
A
B
C
D
E
F
G
H
I
J
K
L
M
N
O
P
R
S
T
U
W
X
Y
G
Game
- Class in
<Unnamed>
The Game Supervisor.
Game(int, int)
- Constructor for class
Game
Class Constructor Set's up graphics and put's game logic into a startup state by calling init()
game
- Variable in class
State
GameObject
- Class in
<Unnamed>
A game object is anything on the pacman grid (wall, cherry, ghost, player).
GameObject(int, Color, Map, int, int)
- Constructor for class
GameObject
Class Constructor for a game object
gamePaused
- Variable in class
StateGame
gameView
- Variable in class
StateEditor
getActor(int)
- Method in class
Map
Return an actor at index in the actorList ArrayList
getActor(int, int, boolean)
- Method in class
Map
Return an actor at coordinate (x,y)
getCollidable(int, int)
- Method in class
Map
Return a value at (x,y) in the collision map
getCollidableMap()
- Method in class
Map
Return the collidable map (a 2d array of bytes which correspond to the collidable types defined in GameObject)
getColor()
- Method in class
GameObject
Grab the current java.awt.Color (base color) the object is being rendered in
getCost(Map, Actor, int, int, int, int)
- Method in class
AStarHeuristic
Get the additional heuristic cost of the given tile.
getCost(Actor, int, int, int, int)
- Method in class
Map
Get the cost of moving through the given tile.
getDotsRemaining()
- Method in class
Map
Return the number of dots remaining on the map.
getFirstInOpen()
- Method in class
PathFinder
Get the first element from the open list.
getFrame()
- Method in class
Game
Get the Frame object encapsulating the program
getGame()
- Method in class
State
Return the reference to the game object
getGraphicsContext()
- Method in class
Game
Get a 'handle' of the current graphics buffer for drawing
getHeight()
- Method in class
Map
The height of the map originally set in the constructor
getHeuristicCost(Actor, int, int, int, int)
- Method in class
PathFinder
Get the heuristic cost for the given location.
getItem(int, int)
- Method in class
Map
Return an item at coordinate (x,y) from within the item map (itemMap)
getItemMap()
- Method in class
Map
Return the item map (a 2D array of Item objects)
getLength()
- Method in class
Path
Get the length of the path, i.e.
getMarkerGhostTrapped()
- Method in class
StateEditor
Get the current trapped status
getMovementCost(Actor, int, int, int, int)
- Method in class
PathFinder
Get the cost to move through a given location
getNumActors()
- Method in class
Map
Get the number of actorList on the map (the size of the actorList ArrayList)
getPlayer()
- Method in class
Map
Find and return the player object within the local actorList ArrayList
getScore()
- Method in class
Player
Get the current level score of the player
getSessionScore()
- Method in class
StateGame
Get the current session score.
getSpawnX()
- Method in class
Actor
Returns the original X coordinate the Actor was given in the constructor
getSpawnY()
- Method in class
Actor
Returns the original Y coordinate the Actor was given in the constructor
getSpeed()
- Method in class
Actor
Get the current speed of the actor
getStartMap()
- Method in class
Game
Get the name of the map to be loaded in StateGame
getStep(int)
- Method in class
Path
Get the step at a given index in the path
getTeleportX()
- Method in class
Item
Retrieve the teleport destination X coordinate
getTeleportY()
- Method in class
Item
Retrieve the teleport destination Y coordinate
getType()
- Method in class
GameObject
Return the type of the object set in the constructor.
getWidth()
- Method in class
Map
The width of the map originally set in the constructor
getX()
- Method in class
GameObject
Grab the current X coordinate of the object on the map.
getX(int)
- Method in class
Path
Get the x coordinate for the step at the given index
getX()
- Method in class
Path.Step
Get the x coordinate of the new step
getY()
- Method in class
GameObject
Grab the current Y coordinate of the object on the map.
getY(int)
- Method in class
Path
Get the y coordinate for the step at the given index
getY()
- Method in class
Path.Step
Get the y coordinate of the new step
Ghost
- Class in
<Unnamed>
The Ghost class is the primary enemy in Pacman.
Ghost(Color, Map, int, int, boolean)
- Constructor for class
Ghost
Class constructor
ghosts
- Variable in class
AIManager
Package
Class
Use
Tree
Deprecated
Index
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{% import 'users/include/macros.html' as macros %}
{% trans %} 8 or more characters, include Latin letters and numbers. Note: No one else can see your password. {% endtrans %}


Ref:
See also Curse and blessing
Basic algorithm and guarantees
Problem
- Prediction: \(n\) experts make predictions in \(\{0,1\}\) at times \(1,\ldots, T\). After seeing predictions \(y_{t,1:n}\), you make a prediction. You want your total number of mistakes to be comparable to that of the best expert.
- Losses/gains: At each time, you get some loss for choosing 0 or 1, \(l_t(0), l_t(1)\). (Assume losses are bounded.) You want your total loss (gain) to be comparable to that of the best expert.
Algorithm
- Vanilla: Let \(w_{t+1,i} = w_{t,i}\pa{1-\eta m_{t,i}}\).
- Deterministic: at time \(t\), take weighted majority of experts with weights \(w_{t,i}\).
- Random: at time \(t\), randomly choose \(i\) with probability proportional to \(w_{t,i}\).
- Hedge: Let \(w_{t+1,i} = w_{t,i} e^{-\eta m_{t,i}}\).
- MWU with restriction: \(p^{(t+1)} = \amin_{p\in \mathcal P} KL(p||\wh p^{(t)})\).
For “counting” case, \(m_i=1\) iff mistake. For “loss” case, \(m_i\) is loss. Assume \(\eta\le \rc2\).
Guarantees
- Deterministic multiplicative weights attains \[
M^{(T)} \le 2(1+\eta) m_i^{(T)} + \fc{2\ln n}{\eta}.
\]
- Probabilistic multiplicative weights (let \(p^{(t)}=\fc{w^{(t)}}{\Phi^{(t)}}\))
\[\begin{align}
\E M^{(T)} &= \sumo tT m^{(t)}\cdot p^{(t)} \le \sumo iT m_i^{(t)} + \eta\sumo tT |m_i^{(t)}| + \fc{\ln n}{\eta} \\
& \le (1+\eta) m_i^{(t)} + \fc{\ln n}{\eta}
& \text{if }m_i^{(t)}\ge0.
\end{align}\]
Proof. 2 parts.
- \(\Phi^{(t+1)} \le \Phi^{(t)} e^{-\eta m^{(t)}\cdot p^{(t)}}\). (If costs are large, this decreases a lot. \(p_i\) are exactly the slice of the pie occupied by expert \(i\).) Look at pie occupied by all experts.
- \((1-\eta)^{\sum_{\ge 0}m_i(t)} (1+\eta)^{-\sum_{\le 0} m_i(t)}\le \Phi^{(t+1)}\). Look at slice occupied by \(i\)th expert.
- Hedge attains \[
\sumo tT m^{(t)}\cdot p^{(t)} \le \sumo tT m_i^{(t)} + \eta\sumo tT m_i^{(t)} + \eta\sumo tT (m^{(t)})^2 \cdot p^{(t)} + \fc{\ln n}{\eta}.
\] (Note this bound depends on \(p\) on the RHS.
- For MWU with restrictions, \[
\sumo tT m^{(t)} \cdot p^{(t)} \le \sumo tT (m^{(t)} + \eta |m^{(t)}|)\cdot p + \fc{KL(p||p^{(1)})}{\eta}.
\] (The farther away \(p\) is from \(p^{(1)}\) the more loss you might incur.)
Questions
What if we replace a finite number of experts with an infinite number of experts with finite VC dimension? This is typically not tractable, but can still be analyzed. Is this like the online version of ERM? Bayesian version/version with uncertainty?
Applications
Classification with margin
Solve
\[\begin{align}
a_j^T x &\ge 0\\
\one^T x&=1\\
x_i &\ge 0
\end{align}\]
under the promise that there exists \(x^*\) with \(a_j^Tx^*\ge \ep\). (More generally, can solve other LP’s with margin.) Let \(\rh = \max_j \ve{a_j}_\iy\).
Ideas:
- The experts are the coordinates. They do nothing except existing. It is the weighting that is the solution we’re looking for. (In the original formulation, the default interpretations is that the experts are some different algorithms, and we seek an algorithm using them as black boxes that does well. Here, the experts are nothing but points, and we find an algorithm that classifies well—where the “algorithm” is restricted to be in the class of linear classifiers.)
- The experts are not the points \(a_j\).
- The bulk of this comes from how we define the gains. These gains should be related to the points \(a_j\).
- Note the right sign: we should reward a coordinate \(i\) if \(a_{ij}\) is large, because increasing \(x_i\) would increase the dot product more. (cf. gradient - but this is projected back onto the simplex by scaling (what norm is this?)) The gain is \({a_{ji}}\).
- We are not going through the \(a_j\) in order. Instead, at each step we pick an \(a_j\) where \(a_j^Tx^{(t)}<0\). (! For GAN, pick \(D\) that is violated?)
- To analyze this, we consider the total number of steps where there is some \(j\) such that \(a_j^T x^{(t)}<0\). Let \(T\) be the largest step for which this the case.
The inequality is \[
0 > \sumo tT m^{(t)}\cdot x^{(t)} \ge
\sumo tT m^{(T)} \cdot x^*
- \eta \fc{\sumo tT \one^T a_{j(t)}}{\rh}
- \fc{\ln n}{\eta} =
\pa{\fc{\eta}{\rh} - \fc{\eta}{2\rh}}T + \fc{\ln n}{\eta/(2\rh)}.
\] Solving, get \(T = \ce{\fc{4\rh^2\ln n}{\ep^2}}\).
Notes:
- Thinking of the difference in margins as regret, this says that we get \(O\prc{\sqrt T}\) regret.
- We can think of this as a game, \(\max_x \min_j a_j^Tx\) over probability vectors. At each step, the “max/column” player chooses a mixed strategy \(x\), and the “min/row” player plays the best response. Best response is not actually necessary, just some choice of \(j\) such that \(a_j^Tx<0\) (since that’s what we’re aiming for).
- This is logarithmic in \(n\). So if \(x\) has super-many coordinates, a sparse solution is good enough! We can prove this existentially—that there exists a \(O(\rh^2\ln n/\ep^2)\) sparse solution—existentially using sampling from \(x^*\) and using Chernoff.
This naturally generalizes!
Game theory
We want to solve a zero-sum game approximately: find
\(\wt q\) (column mixed strategy) and
\(\wt p\) (row mixed strategy) such that
\[\begin{align}
\la^* - \ep & \le \min_i e_i^TA\wt q\\
\la^* &= \max_j \wt p A e_j \le \la^* + \ep
\end{align}\]
where \[
\la^* = \min_p \max_j A(p,j) = \max_q \min_i A(i,q).
\] Note \(\ge\) is clear.
Result: Assume all entries of \(A\) bounded in absolute value by 1. We can approximate \(\la^*\) up to \(\ep\) with \(O\pf{\ln n}{\ep^2}\) calls to oracle and time \(O(n)\) per call.
Proof. T use the algorithm, we specify:
- Experts: row coordinates. (We take row’s POV.)
- Losses: column responds with best response \(j\) at each step. The loss for \(i\) is \((Ae_j)_i\).
For all distributions
\(p\),
\[\begin{align}
\sumo tT p^{(t)} Ae_j
&\le\sumo tT p^* A e_{j(t)} + \eta \sumo tT p^* Ae_{j(t)}+ \fc{\ln n}{\eta}\\
&\le \la^* + \eta\ve{A}_{\iy} + \fc{\ln n}{\eta}\\
& \le \la^* T + \ub{2\sqrt{T\ln n}}{\ep}
\end{align}\]
with \(\eta = \sfc{\ln n}T\). Thus can take \(T=\ce{\fc{4\ln n}{\ep^2}}\).
Notes:
- Suppose we didn’t know the minimax theorem. Then \(\la^*\) should be defined as \(\min\max\). This goes through.
- Does this give a strategy for the column player? We can let \(\wt q = \fc{\set{t}{j(t)=j}}{T}\). Then we get \[
\ol p A \wt q \le p A \wt q + \ep.
\] Note we can set \(p\) to anything; we don’t need to choose \(p^*\). We have \[
\la^{*} - \ep \le \ol p A\wt q \le p A \wt q
\] the LHS because \(j(t)\) is the best response. Thus we not only found a good \(\wt p\), we also found \(\wt q\) which attains \(\ge \la^*-\ep\) for any \(p\).
- Alas, this does not prove the minimax theorem because the \(\ge\) part is clear.
Boosting
Again specify
- Experts: experts are now the data points.
- Loss: reward the experts (data points) for fooling the algorithm.
The role of “algorithm” and “data point” is swapped from the initial interpretation of multiplicative weights as operating on “experts = algorithms” shown “data points = incur losses from mistaks”, and the sign is flipped: we get rewards for fooling the algorithm.
(The “linear classifier with margin” still had “data points” being shown. The data points there were also adversarial in order to get improvement. We were rewarding coordinates for doing well.)
MAKE A TABLE.
If there are \(\rc 2+\ga\)-weak learners, then there is a \(1-\ep\)-strong learner with \(T=\ce{\fc{2}{\ga^2}\ln \prc{\ep}}\). (To be more precise, talk about weak-learners on somewhat dense distributions…)
Proof. Let \(m_x=1-|h(x)-c(x)|\): a data point is penalized for being correctly classified. WL means that at each step we force many mistakes, \(\rc2+\ga\) proportion at each time step.
Now comes the tricky part. We want to bound the number of steps until the mistakes (wrt original, uniform distribution) is small. Thus, we want: when we can find a large set \(E\) on which the algorithm misclassifies, then this forces \(T\) to be small. Using the refined inequality with KL divergence and \(p\) the uniform distribution on \(E\), (“counting in 2 ways”, noting that each row of \(x\in E\) sums to at most \(\fc T2\)) \[
\pa{\rc 2 + \ga}T \le (1+\eta)\fc{T}{2} + \fc{\ln \pf{n}{|E|}}{\eta}.
\] Note that it’s key that we get a ratio \(\fc{n}{|E|}\). We have \(\fc{|E|}{n}\le \ep\). We get \(T< \fc{2}{\ga^2} \ln \prc{\ep}\), so for larger \(T\), we can’t find such a \(E\). The “majority vote” comes from \(\fc T2\).
(You can also probably penalize differently depending on how the weak learner does, getting different weights, and probably improved bounds depending on performance of weak learners.)
Bayesian interpretation


--- layout: post title: Angkor sketch date: '2014-05-31T07:31:10+02:00' categories: - Sketchbooks - Sketches picture_url: https://film-Storyboards.tumblr.com/post/87387239072/angkor-sketch ---
From old Sketchbooks.


{% extends "site.html" %} {% block title %}supported activities{% endblock %} {% block content %}
Do not despair if the activities you want to sync are not on this list, tapiriik can still synchronize them. You'll just have to change them to the appropriate activity type once they've arrived at their final destination(s). HR, power, cadence, temperature, and caloric data will always be synchronized when the destination supports it, no matter what type of activity the data is attached to.


This is the exchange platform for the iLab courses. A consolidation of award winning courses.
Curabitur luctus mattis risus nec condimentum. Donec at dui turpis. Sed vehicula fringilla rutrum. Nullam sed ornare magna. Mauris vitae laoreet diam. Mauris fermentum ligula at lacinia semper. Nulla placerat dui eu sapien pellentesque, eu placerat leo luctus. Cras pharetra blandit fermentum.
This platform provides an exchange platform for all univiersities using the iLab courses. With this service we support the exchange of ideas of all univiersities taking part. We also ensure quality, by giving the option of student feedback. This page includes a survey which each student can fill out after a module. This way instructors can see how well their materials come accross. See the FAQs for how to use the survey.
We also track anonymized data of how long labs take and what the average points are. This provides an overview of the dfficulty and time effort for students.
Currently, three univiersities are using the iLab Courses. The University in Thübingen, Technical University Munich and the University Sydney. We are always open for new members for the iLabs! Feel free to contact us at the contact details provided at the iLab page.
Curabitur luctus mattis risus nec condimentum. Donec at dui turpis. Sed vehicula fringilla rutrum. Nullam sed ornare magna. Mauris vitae laoreet diam. Mauris fermentum ligula at lacinia semper. Nulla placerat dui eu sapien pellentesque, eu placerat leo luctus. Cras pharetra blandit fermentum.
The the eLearning platform on which the courses are held, as well as this exchange platform are open source. The courses on the other hand are copyrighted by the according instructors. Again, feel free to contact us, we are open for sharing!
And who? Every University interested! If you want your university to take part, feel free to contact us at the site below.


| DOSE: |
45 capsls |
oral |
Kava |
I had been reading about Kava Kava on the net, and it sounded pleasant to me, judging from the various reports. So, my friend Kyle (140 lbs.) and I rolled up some blunts with pipe tobacco and cannabis, smoked at the beach, and decided to go get some.
The GNC was still open, so we drove over to the mall, and picked up a bottle of 90 500mg capsules of the root powder. It wasnít the concentrated kind, just the regular. Was that a mistake? So we take the bottle home, and empty out all the pills into a couple plastic baggies, and mix ALL of it with a can of Kernís Coconut Pineapple nectar. I also added a little canola oil, to help it mix together. I donít have a blender, which might have been another mistake, but we whisked it up pretty good, and it seemed to dissolve well.
We were left with a milkshake-like drink, which we split, chased with another can of nectar, and some water. The first half of it was actually somewhat pleasant-tasting to me (and only me), but the last few gulps were somewhat hard to get down. Certainly a lot easier than drinking that much hard alcohol. By the way, by the time we ended up drinking it at 8:30pm, I wasnít feeling the effects of the marihuana at all, which was good because I wanted to feel the Kava Kava alone. After we drank it, I was actually a little worried we had taken too much, as 45 pills worth each seemed like kind of a lot.
But, after about 45 mins, I really wasnít feeling much of a bodily change. I started to feel a little more relaxed, but also a little anxious, like before I drop MDMA, because I wasnít sure what to expect. So, an hour after drinking the stuff, at 9:30, we split a pre-mixed alcoholic drink, as to quicken the effects of the Kava. That seemed to have little effect, other then the alcoholís. About a half-hour after that, we went to the beach and smoked some leftover cannabis, and some resin we had collected off some bong slides. Again, nothing but the usual high.
My friend kind of vegeíd out on the couch for a while. I was dissapointed by the whole thing, because other then a slight change initially, I really didnt feel much at all from all the Kava. I was expecting a lot more from the amount we took. I still want to try some of the Kava from Hawaii, and perhaps next time Iíll look further into prep methods, but overall, a waste of time.
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.


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While preparing for some examinations after graduating from secondary school, I faced a huge difficulty while searching for some genuine, complete guide to several topics over any online platform. I was very disappointed with
what people were putting over the web and I went back to books, I purchased some books as I had to qualify for exams. The major problem I faced was scattered information over the internet, so I thought why can’t someone just take
all of those over at one platform at one place? And so I thought of a solution. I found that there should be batches or clusters of different topics with easy navigation to all. But how can we create that without putting a
huge amount of money into it? Any solution?
Artificial Intelligence in education might sound a little strange to some people about how AI can teach us ‘how to learn’ or ‘what to learn’. Basically, we have been in a bubble
of limited thoughts where haven’t we used that big data that is already cooked up for use. If we think about it deeper, we can find that using the right models over the data that we have from online test portals, universities and
platforms like google classroom can make a big change in understanding how to make the academic structure clearer to the students.
There are two basic things that we need to understand, the use of left out data and Guiding over good solution for better academic fields slash curriculum. Let’s understand what I mean with these two terms. Suppose a university
has data about the results of its students and the data about the curriculum in the past hundred years. Let’s assume 145 million students have been graduated from that university and all the data is there in their records. But
what is the use of that data? If we look closer, many institutions have a good amount of data which they can use to improve their teaching efficiency.
Let’s take an example with several factors in hand. There are two universities, say ‘university A’ and ‘University B’. A student who qualified in 2019 from university A, major in mechanical sciences, failed to pass the examination
of architectural drawing. The university A then took the data from several students who have also failed in the past 10 years and evaluated the results. The committee found two cases, one is that those students who did not opt
‘engineering drawing’ in their first semester, got very low GPA as compared to those who have opted for ED in their first semester. Second, the students who were part of the football club, also scored a low GPA. So the university
committee decided to make some rules over opting any course or giving fundamental courses before taking any newly introduced course for any newbie and to see if someone is a member of any of the sports clubs. On the other hand,
the University B with sort of the same case decided to look over to the earlier record of the student like the GPA in earlier semesters, high school records and credits scored by the student, to give suggestions to upcoming students
about the selection of courses in the new semester. Both the universities are using data, one is using the data from the university record, and another is using the student records but what if we mix both of them together to make
the result better?
This theory is very simple to understand with these kinds of a simple example. If we go deeper, we can find advanced ways to improve grading system, teaching patterns, new curriculum design on the basis of earlier results,
feedback over new teaching model as well as about the old ones and also how new models are better than the traditional model(s).
Okay, let’s come to the problem I have faced earlier. I interacted with people from different sectors like university professors, startup founders, businessmen, students, etc. I think about many solutions which I will list
in the next article, but one solution that I found can be useful nowadays is a platform which would encourage people to contribute through what they have knowledge about and using recommendation models to find the highly-rated
academic resources, and eliminate the bunch of ‘not very useful’ or low-rated resources.
If we think a little deeper, we may find some better solutions.
Kirtivardhan Singh 21st July 2020, 20:00 IST
(Plagiarism in the article is subject to only coincidence. If you find any issue with the article, please email on<EMAIL_ADDRESS>or ikirtivardhansingh@gmail.com.)


Mateo Kovacic reveals Frank Lampard has been urging him to shoot more
Mateo Kovacic says he is trying to adjust his mentality to score more goals after being challenged by Chelsea manager Frank Lampard to finally open his account for the side.
Despite making 69 appearances for Chelsea in all competitions – first on loan from Real Madrid last season, and now as a permanent fixture in the side – the Croatian is still waiting to score his first goal for the west London club.
Kovacic had a decent record in Italy, scoring eight times in his final season at Inter – including a European hat-trick – before moving to Real, but he has not scored for club or country since January 2017.
Kovacic has been roundly praised for his performances this season but Lampard feels the one thing he is lacking is goals, and the 25-year-old is eager to try and rectify the issue.
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‘The most important is the first one. One year at Inter I scored a lot of goals because I started the season scoring a lot of goals. Then you continue and it goes along,’ Kovacic told Chelsea’s website.
‘I never had the pressure to score goals, I was never obsessed because my game is not about goals, but obviously if I want to go to the next step I need to improve it.
‘The coach was the greatest goalscoring midfielder that ever played. There were many, but he really scored a lot of goals. He tells me always that I need to shoot. Now I am trying more!
‘It’s just a thing of mentality, to try to score, to be aggressive and to have the hunger to score goals. I want to improve that, I’m trying to improve that and I am sure I will get there.’
Asked if he wants Kovacic to score more, Lampard said earlier this month: ‘Yes. I do and he does. The quality he has shown in big parts this season, and I think the natural progression is goals and we are working on that one.
‘You might see a big smile if he scores, not just from me but from the group because we know he has the quality to score and that will be the next step.’
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You define your disk stores by using the gfsh create disk-store
command or in <disk-store>
subelements of your cache declaration in cache.xml
. All disk stores are available for use by all of your regions and queues.
These <disk-store>
attributes and subelements have corresponding gfsh create disk-store
command-line parameters as well as getter and setter methods in the org.apache.geode.cache.DiskStoreFactory
and org.apache.geode.cache.DiskStore
APIs.
Disk Store Configuration Attributes and Elements
| disk-store attribute | Description | Default |
|---|---|---|
name |
String used to identify this disk store. All regions and queues select their disk store by specifying this name. | DEFAULT |
allow-force-compaction |
Boolean indicating whether to allow manual compaction through the API or command-line tools. | false |
auto-compact |
Boolean indicating whether to automatically compact a file when it reaches the compaction-threshold . |
true |
compaction-threshold |
Percentage of garbage allowed in the file before it is eligible for compaction. Garbage is created by entry destroys, entry updates, and region destroys and creates. Surpassing this percentage does not make compaction occur—it makes the file eligible to be compacted when a compaction is done. | 50 |
disk-usage-critical-percentage |
Disk usage above this threshold generates an error message and shuts down the member’s cache. For example, if the threshold is set to 99%, then falling under 10 GB of free disk space on a 1 TB drive generates the error and shuts down the cache.
Set to “0” (zero) to disable. |
99 |
disk-usage-warning-percentage |
Disk usage above this threshold generates a warning message. For example, if the threshold is set to 90%, then on a 1 TB drive falling under 100 GB of free disk space generates the warning.
Set to “0” (zero) to disable. |
90 |
max-oplog-size |
The largest size, in megabytes, to allow an operation log to become before automatically rolling to a new file. This size is the combined sizes of the oplog files. | 1024 |
queue-size |
For asynchronous queueing. The maximum number of operations to allow into the write queue before automatically flushing the queue. Operations that would add entries to the queue block until the queue is flushed. A value of zero implies no size limit. Reaching this limit or the time-interval limit will cause the queue to flush. | 0 |
time-interval |
For asynchronous queueing. The number of milliseconds that can elapse before data is flushed to disk. Reaching this limit or the queue-size limit causes the queue to flush. | 1000 |
write-buffer-size |
Size of the buffer, in bytes, used to write to disk. | 32768 |
disk-store subelement |
Description | Default |
|---|---|---|
<disk-dirs> |
Defines the system directories where the disk store is written and their maximum sizes. | . with no size limit |
disk-dirs Element
The <disk-dirs>
element defines the host system directories to use for the disk store. It contains one or more single <disk-dir>
elements with the following contents:
- The directory specification, provided as the text of the
disk-dir
element. - An optional
dir-size
attribute specifying the maximum amount of space, in megabytes, to use for the disk store in the directory. By default, there is no limit. The space used is calculated as the combined sizes of all oplog files.
You can specify any number of disk-dir
subelements to the disk-dirs
element. The data is spread evenly among the active disk files in the directories, keeping within any limits you set.
Example:
<disk-dirs>
<disk-dir>/host1/users/gf/memberA_DStore</disk-dir>
<disk-dir>/host2/users/gf/memberA_DStore</disk-dir>
<disk-dir dir-size="20480">/host3/users/gf/memberA_DStore</disk-dir>
</disk-dirs>
Note: The directories must exist when the disk store is created or the system throws an exception. Geode does not create directories.
Use different disk-dir specifications for different disk stores. You cannot use the same directory for the same named disk store in two different members.


WITNESS LIST Education Committee February 22, 2005 - 8:30A SB 78 FOR: Lara, Rene Legislative Liaison (Texas Federation of Teachers), Austin, TX Padilla, Pam Assistant Superintendent (Canutillo ISD), El Paso, TX ON: Romero, Jesse Consultant (B.E.A.M.-E.N.A.B.L.E), Austin, TX Registering, but not testifying: For: Canaday, Jennifer Lobbyist (ATPE), Austin, TX Weinberg, Tracy Interim Executive Director (Texas Association for the Gifted and Talented), Austin, TX SB 83 FOR: Forgione, Dr. Pat Superintendent (Austin Independent School District), Austin, TX Kelly, Jack (Texas State Teachers Association), Austin, TX Lara, Rene Legislative Liaison (Texas Federation of Teachers), Austin, TX Palacios, PH.D., Rebecca A. National Board Certified Pre-K Teacher (Vice Chair, National Board for Professional Teaching Standards), Corpus Christi, TX Voelzel, Linda Teacher (Chair, Texas Partnership for Accomplished Teachers (NBC Teachers), Austin, TX ON: Canaday, Jennifer Lobbyist (ATPE), Austin, TX Martin, Dr. Alejandra Executive Director (Texas Association of School Personnel Administrators), Austin, TX Reeves, Gary (Texas Association School Personnel Adms.), Austin, TX Registering, but not testifying: For: Forbes, Tom (Educational Testing Service), Austin, TX SB 111 FOR: Kitchens, Shirley (Texas International Baccalaureate Schools), El Paso, TX LaFevers, Jeanette IB Coordinator, Lamar Academy, McAllen ISD-McAllen, TX (Texas IB Schools), McAllen, TX Mallam, Jon (Texas IB Schools/Lamar High School-Houston), Houston, TX McSwain, Dr. James (Texas I.B. Schools/Lamar High School, Houston Independent School District), Houston, TX Newman, Thomas (Tommy) Advanced Academic Coordinator/HEB ISD (Trinity High School), Euless, TX Phillips, Karen Executive Director (Texas IB Schools), Flower Mound, TX Russell, Alicia Coord. of Advanced Acedemics (Leander ISD), Leander, TX Vogler, Doyle Principal Lubbock HS (Texas IB Schools), Lubbock, TX Wink, Ann Program Specialist (Texas IB Schools), Flower Mound, TX Wolf, Mary Ellen IBMYP Coordinator (IBMYP/IBO International Education/Lamar High School), Houston, TX ON: Parsoneault, Ph.D., Catherine (Texas Higher Education Coordinating Board), Austin, TX Registering, but not testifying: For: Weinberg, Tracy Interim Executive Director (Texas Association for the Gifted and Talented), Austin, TX SB 124 FOR: Bryan, Susie (Self), Austin, TX Humble, Macy (Autistic children in the State of Texas), Dallas, TX Karney, Anita Parent (Self), Waco, TX Scillian, Elizabeth (Parent), Allen, TX ON: Blanck, Stephanie Special Ed Director & LSSP (TCASE & TASB), Austin, TX Jennings, Dawn Parent Liaison, Georgetown ISD (Self) Lilly, Janna Special Educ. Director (TCASE, TASB), Austin, TX Rhatigan, Steven (Self), The Woodlands, TX Registering, but not testifying: For: Canaday, Jennifer Lobbyist (ATPE), Austin, TX James Maxfield, Greta Parent (Children w/Autism), Austin, TX On: Altobelli, Joan TCASE, Vice President & AISD Special Ed Director (TASB, TCASE), Austin, TX Providing written testimony: For: Bordelon, Maureen (Parents of the State of Texas), Allen, TX Bradford, Mika (Self), North Richland Hills, TX Scillian, Troy Parent (Self), Allen, TX Yeaman, Karen Parent (Students with autism), Dripping Springs, TX SB 256 FOR: Mehl, Cheryl T. Attorney (TASB), Austin, TX Registering, but not testifying: For: Canaday, Jennifer Lobbyist (ATPE), Austin, TX Canales, Ramiro Assistant Executive Director- Gov. Rel. (Texas Association of School Administrators (TASA)), Austin, TX Lara, Rene Legislative Liaison (Texas Federation of Teachers), Austin, TX


[mask, prior] = rbfprior(rbfunc, nin, nhidden, nout, aw2, ab2)
[mask, prior] = rbfprior(rbfunc, nin, nhidden, nout, aw2, ab2)
generates a vector
mask
that selects only the output
layer weights. This is because most uses of RBF networks in a Bayesian
context have fixed basis functions with the output layer as the only
adjustable parameters. In particular, the Neuroscale output error function
is designed to work only with this mask.
The return value
prior
is a data structure,
with fields prior.alpha
and prior.index
, which
specifies a Gaussian prior distribution for the network weights in an
RBF network. The parameters aw2
and ab2
are all
scalars and represent the regularization coefficients for two groups
of parameters in the network corresponding to
second-layer weights, and second-layer biases
respectively. Then prior.alpha
represents a column vector of
length 2 containing the parameters, and prior.index
is a matrix
specifying which weights belong in each group. Each column has one
element for each weight in the matrix, using the standard ordering as
defined in rbfpak
, and each element is 1 or 0 according to
whether the weight is a member of the corresponding group or not.
rbf
, rbferr
, rbfgrad
, evidence
Copyright (c) Ian T Nabney (1996-9)


Nutraceutical andfunctional food, Biocontrol, Natural pigments, Biofuel, Biomarker, and Drug discovery.
Prof. R. Manjunatha Kini; National University of Singapore, Singapore
Dr. Rarastoeti Pratiwi; Universitas Gadjah Mada, Indonesia
Prof. Bernhard Grimm; Humboldt-Universität Berlin, Germany
Dr. Nutan Kaushik; The Energy and Resource Institute, India
Dr. Montarop Yamabhai; Suranaree University of Technology, Thailands
Dr. Alfi Khatib; International Islamic University Malaysia, Malaysia
Coordinator: Dr. Tri Rini Nuringtyas
Co-coordinator: Dr. Yekti Asih Purwestri
Scientific committee:
Lisna Hidayati, M.Biotech.
Febri Adisusanto, M.Biotech.
Dr. Nutan Kaushik (TERI, India)
Selected articles presented in the Bio-prospecting symposium will be submitted to Biological Research Journal (Pagepress) or AIP Conference Proceedings. Please prepare your article according to publication you choose:
Game design, Mobile computation, Artificial Intelligence, Pattern recognition, Computer vision, Computational sciences, Data sciences, Management sciences, Bioinformatics, Computer graphics, Soft computing, Parallel computation, and Modeling and simulation.
Coordinator: Dr. Faizal Makhrus
Co-coordinator: Dr. M. Edi Wibowo
Scientific committee:
Dr. Afiahayati
Dr. Suprapto
Selected articles presented in the Computer Science symposium will be submitted to IEEE Xplore Digital Library. Please prepare your article according to IEEE Conference Proceeding Template.
| Media | IEEE Catalog Number | ISBN |
|---|---|---|
| XPLORE COMPLIANT | CFP16WOF-ART | 978-1-5090-4357-6 |
| CFP16WOF-PRT | 978-1-5090-4356-9 |
Nanomaterials: science and technology, Zeolites, molecular sieves and applications, Analytical, environmental and green chemistry, Organic chemistry and life sciences, Physical and theoretical chemistry, Biomaterials, Organic polymers, and Condenced materials.
Prof. Lianzhou Wang (The University of Queensland, Australia)
Prof. Shilun Qiu (Jilin University, China)
Dr. Hendrik Lintang (Ma Chung University, Indonesia)
Dr. Yateman Arryanto (Universitas Gadjah Mada, Indonesia)
Coordinator: Dr. Indriana Kartini
Co-coordinator: Dr. Tutik Dwi Wahyuningsih & Iqmal Tahir, M.Si.
Scientific committee: Dr. Dwi Siswanta & Dr. Ria Armunanto
Treasurers: Dr. Eko Sri Kunarti & Ari Listiyariwangi
Technical staff:
Dr. Suherman
Dr. Nurul Hidayat Aprilita
Dr. Deni Pranowo
(JEOL, BNI, RSC, DIKTI, UGM)
Selected articles presented in the Nanosciences and Chemistry symposium will be submitted to Scopus indexed publications: Materials Science Forum or Indonesian Journal of Chemistry. Please prepare your article according to this template.
Computational physics, Electronic and instrumentation, Geophysics, Nuclear and particles physics, Soft and condensed matter physics, and Theoretical physics and astrophysics.
Coordinator: Dr. Ahmad Kusumaatmadja
Co-coordinator: Dr. Iman Santoso
Scientific committee:
Dr. Adhib Ulil Abshor
Dr. Sholihun
Dr. Fahrudin
Dr. Sintia Windhi Niasari
Dr. Edi Suharyadi
Selected articles presented in the Physics and Its Applications symposium will be submitted to AIP Conference Proceeding. Please prepare your article according to this template.
Maritime resource, infrastructure, border, energy, logistics, national defense, and geo politics, and Coastal and small islands.
Coordinator: Dr. Dyah Rahmawati Hisbaron
Co-coordinator: Dr. Estuning Tyas Wulan Mei
Scientific committee:
Dr. Ratih Fitria Putri
Agung Satriyo Nugroho, M.Sc.
Selected articles presented in the Geo-Maritime symposium will be submitted to Scopus indexed publications: Indonesian Journal of Geography. Please prepare your article according to this template.


Type:
Max CCU:
The submitted license details have been saved successfully in the SmartFoxServer configuration. Please restart the server instance for them to take effect.
You can use the Test license button at any time to check the connection between the SmartFoxServer instance and the License Server and to validate the entered license code.
The SmartFoxServer instance is unable to contact the License Server to test the entered license code.
Please check the troubleshooting section of the License Server documentation for additional details and recommendations.
SmartFoxServer could connect to the License Server, but the license code seems to be invalid.
Please make sure the license is not disabled, then copy&paste the code from the License Server web interface.
SmartFoxServer could connect to the License Server successfully and the entered license code is valid.
Important: this license has already been assigned to a SmartFoxServer instance. If you are moving the license to a new server, make sure to reset the license allocation in the License Server console, or SmartFoxServer will not be able to retrieve it on startup.


 Embedded in the prow of the skiff lay the spear that had been cast after me by him whom I suddenly desired to save. With a wrench I tore it loose, and standing upright in the wobbly log drove it with all the strength of my two arms straight into the gaping jaws of the hydrophidian.
With a loud hiss the creature abandoned its prey to turn upon me, but the spear, imbedded in its throat, prevented it from seizing me though it came near to overturning the skiff in its mad efforts to reach me.
The aborigine, apparently uninjured, climbed quickly into the skiff, and seizing the spear with me helped to hold off the infuriated creature. Blood from the wounded reptile was now crimsoning the waters about us and soon from the weakening struggles it became evident that I had inflicted a death wound upon it. Presently its efforts to reach us ceased entirely, and with a few convulsive movements it turned upon its back quite dead.
And then there came to me a sudden realization of the predicament in which I had placed myself. I was entirely within the power of the savage man whose skiff I had stolen.
What was in his mind I do not know, but in my own was merely the question as to how soon the fellow would recommence hostilities.


--- layout: post esbma_id: 1801 title: Veracity 0.9.1 date: 2011-07-16 22:37:40 ---
Veracity 0.9.1 is available.
This release is a big milestone -- it is the first release which we are identifying as "ready to use".
Even though we have been dogfooding Veracity for over a year, each release has been accompanied by verbiage which discouraged people from relying upon it. This was mostly because we thought we might still change a repository storage format in ways that might not be backward compatible. Well, we have finally decided that this hesitation is no longer necessary. All future releases of Veracity will be compatible with a repository created with version 0.9.1.
Version 1.0 is coming very soon. In fact, we considered blessing this build with the magical "1.0" designation. But we decided to do a little more polishing and make 1.0 happen during the week of OSCON at the end of this month.
The Veracity home page is:
The front page contains a comparison chart which I hope will be perceived simply as a way of describing Veracity's place in the world relative to other things. I don't want this triggering a flame war with people quibbling over details while they argue which DVCS is the best.
Available downloads include the source code as well as packaged builds for Windows, Mac and Ubuntu Linux.
A public instance of the Veracity repository is online at:
http://public.veracity-scm.com/
If you want to track our progress regularly, you can clone this instance:
vv clone http://public.veracity-scm.com/repos/veracity veracity
At the moment, you cannot push to the public server. We haven't done the homework necessary to let us accept patches and contributed code from the community. We will get all our ducks in a row as soon as possible.
Finally, veracity-scm.com includes a Question+Answer area, running OSQA. For any and all questions about Veracity, this is the place. We've thrown a few seed questions in to get things started.


Plugin Information |
|---|
View S3 publisher on the plugin site for more information. |
Older versions of this plugin may not be safe to use. Please review the following warnings before using an older version:
Upload build artifacts to Amazon S3
Making artifacts public
If you'd like to have all of your artifacts be publicly downloadable, see http://ariejan.net/2010/12/24/public-readable-amazon-s3-bucket-policy/.
Usage with IAM
If you used IAM to create a separate pair of access credentials for this plugin, you can lock down its AWS access to simply listing buckets and writing to a specific bucket. Add the following custom policy to the user in the IAM console, replacing occurrences of "my-artifact-bucket" with your bucket name, which you'll have to create first:
{ "Statement": [ { "Action": [ "s3:ListAllMyBuckets" ], "Effect": "Allow", "Resource": "arn:aws:s3:::*" }, { "Action": "s3:*", "Effect": "Allow", "Resource": ["arn:aws:s3:::my-artifact-bucket", "arn:aws:s3:::my-artifact-bucket/*"] } ] }
Version History
Version 0.10.11 (Dec 31, 2016) - do not update - backward compatibility for pipeline scripts are broken
- Make plugin compatible with storage backends compatible with Amazon S3 (OpenStack Swift...) (JENKINS-40654, PR-100)
- Add Standard - Infrequent Access storage class (PR-98)
- Constrain build result severity (JENKINS-27284, PR-95)
- Add job setting to suppress console logging (PR-94)
Version 0.10.10 (Oct 10, 2016)
- Add method for changing S3Profile via GroovyVersion
Version 0.10.9 (June 27, 2016)
- Added option to open content directly in browser (JENKINS-37346)
- FIXED IE and Chrome download issue when file path is window style ([PR-93|https://github.com/jenkinsci/s3-plugin/pull/93)
Version 0.10.8 (Aug 31, 2016)
- Doesn't exist (broken release because of changes in Jenkins plugin repository)
Version 0.10.7 (July 21, 2016)
- Handle InterruptedExceptions that no files are found (PR-92)
Version 0.10.6 (July 1, 2016)
- Don't upload on aborted build (JENKINS-25509, PR-90)
Version <IP_ADDRESS> (June 27, 2016)
- Plugin missing transitive dependencies ( JENKINS-36096 )
Version 0.10.5 (June 17, 2016)
- Failed to reset the request input stream (JENKINS-34216 / PR-90 )
Version 0.10.4 (June 10, 2016)
- Restore support for MatrixPlugin (JENKINS-35123)
- Add new parameter on Profile level - to keep or not to folder structure. By default, plugin doesn't keep folder structure. And option to keep structure will be removed in some of next releases (JENKINS-34780)
Version 0.10.3 (May 25, 2016)
- Add option to keep artifacts forever
- S3 Plugin switches credential profiles on-the-fly (JENKINS-14470)
Version 0.10.2 (May 11, 2016)
- Add usages to README file (PR-87)
- Add option to set content-type on files (PR-86)
- S3 artifacts are visible from API
Version 0.10.1 (Apr 25, 2016)
- Parallel uploading
- Support uploading for unfinished builds
Version 0.9.4 (Apr 23, 2016)
- Update AWS SDK to latest version
- Fix credential issue
Version 0.9.2 (Apr 06, 2016)
- Update AWS SDK to latest version
- Fix credential issue
Version 0.9.1 (Apr 05, 2016)
- Updated the aws-java-sdk dependency to support java region uploads
- Uploading and downloading files more than 5GB using TransferManager
- Flatten directories
- Excludes for downloading and uploading
- Several profiles
- Retries for downloading
- Workflow plugin support
- Using default Jenkins proxy
- Now artifacts are using full name instead of project name only
Version 0.5 (Aug 09, 2013)
- Added Regions Support (JENKINS-18839)
- Update AWS SDK to latest version
Version 0.4 (Jul 12, 2013)
- Added storage class support
- Added arbitrary metadata support
- Fixed the problem where the plugin messes up credential profiles upon concurrent use (JENKINS-14470)
- Plugin shouldn't store S3 password in clear (JENKINS-14395)
Version 0.3.1 (Sept. 20th, 2012)
- Prevent OOME when uploading large files.
- Update Amazon SDK
Version 0.3.0 (May 29th, 2012)
- Use AWS MimeType library to determine the Content-Type of the uploaded file.


| WebKit2GTK+ Reference Manual | ||||
|---|---|---|---|---|
| Top | Description | Object Hierarchy | Properties | Signals |
WebKitPrintOperation; enum WebKitPrintOperationResponse; WebKitPrintOperation * webkit_print_operation_new (WebKitWebView *web_view
); GtkPrintSettings * webkit_print_operation_get_print_settings (WebKitPrintOperation *print_operation
); void webkit_print_operation_set_print_settings (WebKitPrintOperation *print_operation
,GtkPrintSettings *print_settings
); GtkPageSetup * webkit_print_operation_get_page_setup (WebKitPrintOperation *print_operation
); void webkit_print_operation_set_page_setup (WebKitPrintOperation *print_operation
,GtkPageSetup *page_setup
); WebKitPrintOperationResponse webkit_print_operation_run_dialog (WebKitPrintOperation *print_operation
,GtkWindow *parent
); void webkit_print_operation_print (WebKitPrintOperation *print_operation
);
"page-setup" GtkPageSetup* : Read / Write "print-settings" GtkPrintSettings* : Read / Write "web-view" WebKitWebView* : Read / Write / Construct Only
typedef enum { WEBKIT_PRINT_OPERATION_RESPONSE_PRINT, WEBKIT_PRINT_OPERATION_RESPONSE_CANCEL } WebKitPrintOperationResponse;
Enum values representing the response of the print dialog shown with
webkit_print_operation_run_dialog()
.
WebKitPrintOperation * webkit_print_operation_new (WebKitWebView *web_view
);
Create a new WebKitPrintOperation to print web_view
contents.
|
a WebKitWebView |
Returns : |
a new WebKitPrintOperation. [transfer full] |
GtkPrintSettings * webkit_print_operation_get_print_settings
(WebKitPrintOperation *print_operation
);
Return the current print settings of print_operation
. It returns NULL
until
either webkit_print_operation_set_print_settings()
or webkit_print_operation_run_dialog()
have been called.
|
a WebKitPrintOperation |
Returns : |
the current GtkPrintSettings of print_operation . [transfer none]
|
void webkit_print_operation_set_print_settings (WebKitPrintOperation *print_operation
,GtkPrintSettings *print_settings
);
Set the current print settings of print_operation
. Current print settings are used for
the initial values of the print dialog when webkit_print_operation_run_dialog()
is called.
|
a WebKitPrintOperation |
|
a GtkPrintSettings to set |
GtkPageSetup * webkit_print_operation_get_page_setup
(WebKitPrintOperation *print_operation
);
Return the current page setup of print_operation
. It returns NULL
until
either webkit_print_operation_set_print_settings()
or webkit_print_operation_run_dialog()
have been called.
|
a WebKitPrintOperation |
Returns : |
the current GtkPageSetup of print_operation . [transfer none]
|
void webkit_print_operation_set_page_setup (WebKitPrintOperation *print_operation
,GtkPageSetup *page_setup
);
Set the current page setup of print_operation
. Current page setup is used for the
initial values of the print dialog when webkit_print_operation_run_dialog()
is called.
|
a WebKitPrintOperation |
|
a GtkPageSetup to set |
WebKitPrintOperationResponse webkit_print_operation_run_dialog (WebKitPrintOperation *print_operation
,GtkWindow *parent
);
Run the print dialog and start printing using the options selected by
the user. This method returns when the print dialog is closed.
If the print dialog is cancelled WEBKIT_PRINT_OPERATION_RESPONSE_CANCEL
is returned. If the user clicks on the print button, WEBKIT_PRINT_OPERATION_RESPONSE_PRINT
is returned and the print operation starts. In this case, the "finished"
signal is emitted when the operation finishes.
If the print dialog is not cancelled current print settings and page setup of print_operation
are updated with options selected by the user when Print button is pressed in print dialog.
You can get the updated print settings and page setup by calling
webkit_print_operation_get_print_settings()
and webkit_print_operation_get_page_setup()
after this method.
|
a WebKitPrintOperation |
|
transient parent of the print dialog. [allow-none] |
Returns : |
the WebKitPrintOperationResponse of the print dialog |
void webkit_print_operation_print (WebKitPrintOperation *print_operation
);
Start a print operation using current print settings and page setup
without showing the print dialog. If either print settings or page setup
are not set with webkit_print_operation_set_print_settings()
and
webkit_print_operation_set_page_setup()
, the default options will be used
and the print job will be sent to the default printer.
The "finished" signal is emitted when the printing
operation finishes.
|
a WebKitPrintOperation |
"page-setup"
property"page-setup" GtkPageSetup* : Read / Write
The initial GtkPageSetup for the print operation.
"print-settings"
property"print-settings" GtkPrintSettings* : Read / Write
The initial GtkPrintSettings for the print operation.
"web-view"
property"web-view" WebKitWebView* : Read / Write / Construct Only
The WebKitWebView that will be printed.
"finished"
signalvoid user_function (WebKitPrintOperation *print_operation,
gpointer user_data) : Run Last
Emitted when the print operation has finished doing everything required for printing.
|
the WebKitPrintOperation on which the signal was emitted |
|
user data set when the signal handler was connected. |


All functions
|
|
add_access_rules
|
sysmeta.R |
|
add_additional_identifiers
|
Add a set of additional identifiers to an EML document. |
|
add_admin_group_access
|
Adds access to the given System Metadata for the arctic-data-admins group |
|
add_methods_step
|
Adds a step to the methods document |
|
add_string_to_title
|
Adds a string to the title element in the given file. |
|
change_eml_name
|
Utility function to extract a name string from an XML individualName node,
parse it into tokens,and reformat the individualName with new children nodes |
|
clear_methods
|
Clear all methods from the document. |
|
clear_replication_policy
|
Clear the replication policy from a System Metadata object |
|
convert_iso_to_eml
|
Convert and ISO document to EML using an XSLT. |
|
create_dummy_metadata
|
helpers.R |
|
create_dummy_object
|
Create a test object. |
|
create_dummy_package
|
Create a test package. |
|
create_dummy_parent_package
|
Create a test parent package. |
|
create_from_folder
|
inserting.R |
|
create_object
|
Create an object from a row of the inventory. |
|
create_resource_map
|
Create a resource map Object on a Member Node. |
|
create_sysmeta
|
Create a sysmeta object. |
|
determine_child_pids
|
Calculate a set of child PIDs for a given package. |
|
eml_add_entities
|
Add new entity (otherEntity, dataTable, etc) elements to an EML document from a table. |
|
eml_address
|
Create an EML address element. |
|
eml_associated_party
|
Create an EML associatedParty |
|
eml_contact
|
Create an EML contact. |
|
eml_creator
|
Create an EML creator |
|
eml_individual_name
|
Create an EML individualName section |
|
eml_metadata_provider
|
Create an EML metadataProvider |
|
eml_project
|
Create an eml-project section. |
|
eml_validate_attributes
|
Validate an EML attributeList attribute-by-attribute |
|
env_get
|
environment.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
env_load
|
Load environmental variables from a YAML-formatted environment file. |
|
extract_local_identifier
|
util.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
filter_obsolete_pids
|
Filters PIDs that are obsolete. |
|
filter_packaging_statements
|
Filter statements related to packaging |
|
find_newest_object
|
Find the newest (by dateUploaded) object within a given set of objects. |
|
find_newest_resource_map
|
Get the resource map(s) for the given object. |
|
fix_bad_enum
|
Fix a metadata record with a bad topicCategory. |
|
fix_bad_topic
|
Fix a metadata record with multiple MD_TopicCategory children elements
inside a single topicCategory element. |
|
format_eml
|
Helper function to generate the EML 2.1.1 format ID. |
|
format_iso
|
dataone_formats.R |
|
generate_resource_map_pid
|
Generate a PID for a new resource map by appending "resource_map_" to it. |
|
generate_resource_map
|
Create a resource map RDF/XML file and save is to a temporary path.
This is a convenience wrapper around the constructor of the `ResourceMap`
class from `DataPackage`. |
|
get_all_versions
|
Get the PIDs of all versions of an object. |
|
get_chain_neighbors
|
Get the obsoleted/obsoletedBy properties of an object as a named list. |
|
get_current_version
|
Get the current package version. |
|
get_doc_id
|
Get the Metacat docid for the given identifier |
|
get_identifier
|
Get the identifier from a DataONE response. |
|
get_latest_release
|
Use the GitHub API to find the latest release for the package. |
|
get_mn_base_url
|
Get the base URL of the Member Node. |
|
get_ncdf4_attributes
|
Get a data.frame of attributes from a NetCDF object |
|
get_netcdf_format_id
|
Determine the DataONE format ID for the NetCDF file provided by path. |
|
get_or_create_pid
|
Get the already-minted PID from the inventory or mint a new one. |
|
get_package_direct
|
Get a structured list of PIDs for the objects in a package. |
|
get_package
|
Get a structured list of PIDs for the objects in a package. |
|
get_token_subject
|
Returns the subject of the set dataone_test_token |
|
get_token
|
Gets the currently set authentication token. |
|
guess_format_id
|
Guess format from filename for a vector of filenames. |
|
insert_file
|
package.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
insert_package
|
Create a single package Data Package from files in the Inventory. |
|
inv_add_extra_columns
|
Adds a set of extra columsn to the inventory that are useful for working
with them. |
|
inv_add_parent_package_column
|
Add a column for parent packages. |
|
inv_init
|
inventory.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
inv_load_checksums
|
Load checksums into the inventory file from a text file. This function
removes the column 'checksum_sha256' from inventory before doing a
left join. |
|
inv_load_dois
|
Load DOIs from a text file into the Inventory. |
|
inv_load_files
|
Load files into the inventory from a text file. |
|
inv_load_identifiers
|
Load identifiers into the inventory file(s) from a text file. This function
removes the column 'identifier' from inventory before doing a
left join. |
|
inv_load_sizes
|
Load file sizes into an inventory from a text file. Removes the column
'size_bytes' from inventory before doing a left join. |
|
inv_update
|
Update an Inventory with a new Inventory. |
|
is_authorized
|
Check if the user has authorization to perform an action on an object. |
|
is_format_id
|
Test whether an object is a particular format ID. |
|
is_obsolete
|
Test whether the object is obsoleted by another object. |
|
is_resource_map
|
Determines whether the object with the given PID is a resource map. |
|
is_token_expired
|
Determine whether the set token is expired. |
|
is_token_set
|
dataone.R |
|
log_message
|
Log a message to the console and to a logfile. |
|
new_uuid
|
Helper function to generate a new UUID PID. |
|
object_exists
|
Check if an object exists on a Member Node. |
|
parse_resource_map
|
Parse a Resource Map into a data.frame |
|
path_join
|
(Intelligently) join (possibly redudant) path parts together. |
|
pid_to_other_entity
|
eml.R |
|
pretty_print
|
Uses XMLStarlet to pretty-print/beautify an XML document. |
|
publish_object
|
editing.R |
|
publish_update
|
Publish an updated data package. |
|
remove_public_access
|
Remove all public read access rules from a System Metadata document |
|
remove_public_read
|
Remove public access on a set of objects. |
|
replace_package_id
|
Replace the EML 'packageId' attribute on the root element with a
certain value. |
|
replace_subject
|
Replace subjects in the accessPolicy section of a System Metadata entries. |
|
set_abstract
|
Set the abstract on an EML document |
|
set_access
|
Set the access policy for a set of objects. |
|
set_file_name
|
Set the file name on an object |
|
set_other_entities
|
Creates and sets EML otherEntity elements to an existing EML document,
replacing any existing otherEntities |
|
set_public_read
|
Set public access on a set of objects. |
|
set_rights_and_access
|
Set the given subject as the rightsHolder and subject with write and
changePermission access for the given PID. |
|
set_rights_holder
|
access.R |
|
show_random_dataset
|
Print a random dataset. |
|
substitute_eml_party
|
Extract the EML responsible-party blocks in a document, and parse the
surName field to create proper givenName/surName structure |
|
sysmeta_to_eml_physical
|
Create an EML physical subtree from a System Metadata instance |
|
sysmeta_to_other_entity
|
Create an EML otherEntity sub-tree for the given object. |
|
test_has_abstract
|
modify_metadata.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
theme_packages
|
marking.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
update_object
|
Update an object with a new file. |
|
update_package
|
Update a package with modified metadata. |
|
update_resource_map
|
Update an existing resource map Object on a Member Node. |
|
validate_environment
|
Validate an environment. |
|
validate_inventory
|
Validate an Inventory. |
|
view_packages
|
interactive.R
Author: Bryce Mecum<EMAIL_ADDRESS>|
|
view_profile
|
Get an approximate list of the datasets in a user's profile |
|
warn_current_version
|
Warns if the currently-installed version of the package is not the same
version as the latest release on GitHub. |


Plugin note
This functionality is contained within an expression evaluator plugin. As such, it is available only when the corresponding plugin is installed.
Plugin assembly
CSF.Zpt.ExpressionEvaluators.CSharpExpressions.dll
Plugin class
CSF.Zpt.ExpressionEvaluators.CSharpExpressions.CSharpExpressionEvaluator
Expression prefix
csharp:
TALES 'csharp' expressions
csharp:
expressions permit the use of C♯ as a mechanism of evaluating TALES expressions.
The provided C♯ expression string is executed, its value determined and returned as the result of the
expression.
Permitted expressions
C♯ expressions supported by this plugin must be single statements. Multiple statements (joined by semicolons)
are not permitted and will not compile.
Expressions have access to all of the variables which are available to TALES, including those created by
tal:define
and tal:repeat
attributes.
In essence, to determine whether an expression is OK or not, consider whether it would be valid for
execution if preceded by a return
keyword and followed by a semicolon, assuming that all of the
TALES variables are also available in the same scope:
return YOUR_EXPRESSION_HERE;
Example

Hello, my name is
JOSEPH

The expression above would emit Hello, my name is SALLY, surrounded with HTML

tags.
Note on variable names
If this plugin is installed (by default, it is) then all variable names created through
tal:define
or tal:repeat
must also be valid C♯ variable names.
For example, on its own, the TALES specification would permit a variable named 12things;
this is not a valid C♯ variable name though.
If such a variable is 'in scope' when a csharp:
expression is evaluated, the expression will
not compile and an error will be raised.
It does not matter whether the C♯ expression attempts to make use of such a 'bad' variable or not.
The very presence of the variable in the TALES environment will prevent the C♯ expression from compiling.
Reminder: HTML encoding
Because TALES expressions (including C♯ expressions) are specified within the source document, in the source document's own syntax, you must adhere to that document's escaping/encoding rules. In particular this applies to double-quote characters, which must be specified as ", greater-than (>), less-than (<) and ampersands (&).
This is illustrated in the following example, where DateTime.ToString
is used with a
string parameter to get a custom date format.

Today's date is
2012-01-01

Expression internals & limitations
Internally, to provide C♯ expressions, the CodeDOM API is used. Each expression is compiled into a generated class, in an in-memory .NET assembly.
Each TALES variable which is in-scope for the expression is provided as a private member field
of that class. To simplify variable access these private fields are typed using the dynamic
keyword. This means that for general usage their type does not need to known.
A limitation of this approach is exposed when you wish to use extension methods, including
Linq, such as .Sum()
or .Count()
. These are incompatible with dynamically-typed
variables. For example, if you wrote some markup such as the following example:

 x.Colour == "Red")">
There are 3 red items

This expression will not compile because the .Count()
method from Linq is an extension
method which requires a strongly-typed (and not dynamically-typed) reference.
There are two available ways to work around/deal with this limitation:
Consider moving expressions into your model
The recommended and simplest way to deal with this limitation is to move that expression into your MVC model
class as either a property or plain method call. This functionality in the model may then make use of
extension methods/linq/etc and expose the result to the view. No special code or technique need be used here,
simply a method on the model such as public int GetItemCount(string colour)
.
This also guides you towards pushing any 'logic' of your model into the model itself, which is good practice.
Specify types, namespace imports and assembly references
For scenarios where moving the code into your model is not possible (for example, if you do not control the model type), ZPT-Sharp provides an advanced mechanism for solving 'the extension method' problem. This solution is a set of three special expression types (and related configuration) which allow you to specify the .NET type of your TALES variables, as well as import namespaces and provide references to other assemblies.
These advanced topics are covered in documentation for the additional expression types as well as documentation for the configuration options which affect them.


Automatic TypeScript Template generation for Visual Studio
Typewriter extends the functionality of Visual Studio.
Typewriter is a free extension for Visual Studio that generates TypeScript files from c# code files using TypeScript Templates.
This allows you to create fully typed TypeScript representations of server side API, models, controllers, SignalR hubs etc. that automatically updates when you make changes to your c# code.
By doing this you get TypeScript Intellisense and compile-time errors when the client- and server side code differs. This speeds up your development pace and increases the quality of your applications.
Typewriter works by adding support for TypeScript Template files (.tst) in Visual Studio.
A TypeScript Template is a TypeScript file with some extra features for extracting meta data about your c# source code such as classes, interfaces, properties and methods. The meta data in combination with the template files are then used to create TypeScript files that are kept in sync with the c# source files.
So if you add, remove or modify your c# code, the changes will be reflected in the generated TypeScript files automatically.
Increase the development speed and quality of your applications.
Typewriter always keeps your generated code up to date without any interaction. As soon as a change is detected all templates are automatically re-rendered.
The template editor provides context-aware statement completion as you type, auto-completing to increase speed and accuracy. Quick Info tool tips let you inspect the metadata definitions.
Create custom extensions to your templates using c#. This enables you to generate rich content without breaking a sweat.
Leverage TypeScript's type support to get compile-time errors and warnings when your client-side and server-side code is out of sync.
Create custom templates that fits the technology in your project. Typewriter doesn't care whether you're using Angular, Aurelia, jQuery, Knockout, React, Vue, SignalR or whatevers-next.js.
Typewriter is available for free from the Visual Studio Gallery and under the Extensions and Updates menu in Visual Studio. The source code is available on GitHub.
Below is an example of a TypeScript Template for generating simple model classes.
$Classes(*Model)
will find public classes with a name ending in "Model" defined in the same project as the template
or in a project referenced by that project.
The section between the brackets ([]
) is repeated for each class.
$Name
will print the name of the class and
$Properties
will loop each public property of the class.
$name
is the name of the property (by using the lower case
$name
the property name will be printed in camel case) and
$Type
is a TypeScript friendly version of the property type.
module App { $Classes(*Model)[ export class $Name { $Properties[ public $name: $Type;] }] }
using System; using System.Collections.Generic; namespace Demo { public class CustomerModel { public int Id { get; set; } public string Name { get; set; } public ICollection<OrderModel> Orders { get; set; } } }
module App { export class CustomerModel { public id: number; public name: string; public orders: OrderModel[]; } }


public class CollisionManager
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
private java.util.ArrayList<MapObject> |
_MapObjects |
private java.util.ArrayList<Player> |
_Players |
| Constructor and Description |
|---|
CollisionManager(java.util.ArrayList<Player> Players,
java.util.ArrayList<MapObject> MapObjects)
Calculates collisions between map objects and cars.
|
| Modifier and Type | Method and Description |
|---|---|
boolean |
IsCollidingWithGrass(java.awt.Rectangle r,
int angleIndex)
Check collisions between a car and grass area.
|
boolean |
IsCollidingWithImpassable(java.awt.Rectangle r,
int angleIndex)
Checks collision between a car and impassable map objects, such as map edges or trees.
|
boolean |
isCollidingWithOtherCars(Car requester,
java.awt.Rectangle position,
int angleIndex)
Check collisions between two cars.
|
private boolean |
isIntersecting(java.awt.Rectangle car,
int carAngleIndex,
java.awt.geom.Line2D l)
Checks if a car with a given angle intersects with a line.
|
private boolean |
isIntersecting(java.awt.Rectangle car,
int carAngleIndex,
java.lang.Object o,
java.lang.Boolean isObjectRectangle,
java.lang.Boolean isObjectLine)
Checks if a car would collide with a rectangle or line object.
|
private boolean |
isIntersecting(java.awt.Rectangle car,
int carAngleIndex,
java.awt.Rectangle r2)
Checks if a car with a given angle intersects with a rectangle.
|
private boolean |
isIntersecting(java.awt.Rectangle car1,
int angle1,
java.awt.Rectangle car2,
int angle2)
Checks if the two input cars are colliding with each other.
|
private final java.util.ArrayList<Player> _Players
private final java.util.ArrayList<MapObject> _MapObjects
public CollisionManager(java.util.ArrayList<Player> Players, java.util.ArrayList<MapObject> MapObjects)
Players
- The list of Players currently in gameMapObjects
- //The list of map objects the players' cars can collide withpublic boolean IsCollidingWithImpassable(java.awt.Rectangle r, int angleIndex)
r
- The car represented as a rectangle.angleIndex
- The current angle of the car. This is used to provide more accurate calculation.public boolean IsCollidingWithGrass(java.awt.Rectangle r, int angleIndex)
r
- The car represented as a rectangle.angleIndex
- The current angle of the car. This is used to provide more accurate calculation.public boolean isCollidingWithOtherCars(Car requester, java.awt.Rectangle position, int angleIndex)
requester
- The requested car object. This is used for preventing self-compare.position
- The car represented as a rectangle.angleIndex
- The current angle of the car. This is used to provide more accurate calculation.private boolean isIntersecting(java.awt.Rectangle car1, int angle1, java.awt.Rectangle car2, int angle2)
car1
- The first car to compare.angle1
- The current angle of the first car.car2
- The second car to compare.angle2
- The current angle of the second car.private boolean isIntersecting(java.awt.Rectangle car, int carAngleIndex, java.awt.Rectangle r2)
car
- The car (as a rectange) to check.carAngleIndex
- The car's angle represented by the index value of the array of all possible angles.r2
- The rectangle to check the car collision with.private boolean isIntersecting(java.awt.Rectangle car, int carAngleIndex, java.awt.geom.Line2D l)
car
- The car (as a rectange) to check.carAngleIndex
- The car's angle represented by the index value of the array of all possible angles.l
- The line to check the car collision with.private boolean isIntersecting(java.awt.Rectangle car, int carAngleIndex, java.lang.Object o, java.lang.Boolean isObjectRectangle, java.lang.Boolean isObjectLine)
car
- The car (as a rectange) to check.carAngleIndex
- The car's angle represented by the index value of the array of all possible angles.o
- The rectangle or Line2D object to check the collision with.isObjectRectangle
- True if the object is a rectangle. False if not. (Used for casting)isObjectLine
- Ture if the objvect is a Line2D. False if not. (Used for casting).


Select from several test images, build your request, and see the result. If you find a bug, save the 'Request' section and include that in your bug report.