Table of Contents
The RMI registry service provider allows JNDI applications to access remote objects registered with the RMI registry. Given the location of a registry, the provider will create a naming context with bindings for the objects registered there. Such a context may be bound into another JNDI-accessible namespace (such as LDAP, for example). References to individual remote objects may likewise be bound into another namespace.
A key benefit of binding registry contexts into other namespaces is location-independent access to remote objects: the RMI clients do not need to know the registry's host name or port number. RMI servers can take advantage of this to advertise their services to potential clients. In addition, remote objects can be linked into the same enterprise directory that is used to access information about people, organizations, and network resources.
With this service provider installed, JNDI subsumes the functionality of the java.rmi.Naming class.
This document describes the features of the RMI registry service provider.
The following JNDI environment properties are used by the RMI registry service provider. See the JNDI documentation for a description of how properties are initialized using the environment properties, system properties, applet parameters, and resource files.
java.naming.factory.initial
This property is used to select the registry service provider as the initial context. It is not used by the provider itself. It specifies the class name of the initial context factory for the provider. For example:
env.put(Context.INITIAL_CONTEXT_FACTORY, "com.sun.jndi.rmi.registry.RegistryContextFactory");
This property is used in conjunction with the java.naming.provider.url property. This property must be set if you are using the registry as the initial context. The only exception is if you supply only URLs to the initial context, in which case, you don't need to specify this property. See RMI URLs for details.
java.naming.provider.url
This property specifies the location of the registry when the registry is being used as the initial context. It's value is an RMI URL with no object name component (see RMI URL Format below). For example:
env.put(Context.PROVIDER_URL, "rmi://server:1099");
The default value of this property is "rmi:", signifying a registry running on port 1099 of the local host.
This property is used in conjunction with the java.naming.factory.initial property.
java.naming.factory.state
A colon-separated list of the fully qualified class names of state factory classes used to get an object's state for storing given the object itself. You can use this mechanism to transform an object into forms that can be stored into the registry. The RMI registry service provider supports storing java.rmi.Remote, javax.naming.Reference, and javax.naming.Referenceable objects. See javax.naming.spi.NamingManager.getStateToBind() for details.
java.naming.factory.object
A colon-separated list of the fully qualified class names of object factory classes for transforming objects read from the registry. You can use this mechanism to transform an object into forms expected by the application. See javax.naming.spi.NamingManager.getObjectInstance() for details.
com.sun.jndi.rmi.factory.socket
This property specifies the socket factory for use by the RMI runtime in order to obtain the client sockets to make RMI calls. The value specified for the socket factory must be of the type java.rmi.server.RMIClientSocketFactory. If this property is not set, the default socket factory is used by the registry.
java.naming.rmi.security.manager
This property, when set to any value, indicates that the provider should attempt to install the RMISecurityManager. See the Security Considerations section below.
The RMI registry supports a flat namespace. Since there is no hierarchy, every name is atomic. Each name may be composed of any characters, and case is significant.
Names are passed as arguments to the methods of a registry context, and are returned as the results of those methods, either as Name objects or as strings. When a Name object is used, it should have a single component whose value is the atomic name that will be passed on to the registry. When a string is used as a name, it is interpreted as the string representation of a composite name. So if ctx is a registry context, for example, then the following two unbind operations are equivalent:
String name = ... ctx.unbind(name); ctx.unbind(new CompositeName(name));
Care must be taken with names containing any of the four meta-characters that are treated specially during the parsing of composite names: '/', '\\', '"', and '\''. These characters must be properly escaped or quoted. The atomic name X/Y, for example, may be represented as the composite name X\/Y so as not to be mistaken for a two-component name with X and Y as its components. See CompositeName for more information.
JNDI provides support for resolving URLs that name objects. The registry service provider allows RMI URLs to be used as names in this manner. This provides a generalization of the java.rmi.Naming functionality, only using the more general JNDI interface.
The class com.sun.jndi.url.rmi.rmiURLContextFactory implements a URL context factory for RMI URLs. This allows an RMI URL to be passed as a name to the default JNDI initial context.
The format of an RMI URL is one of the following:
rmi://[host][:port][/[object]] rmi:[/][object]If the object name is absent, then the URL names the registry at the given host and port. Otherwise, it names the remote object registered at that registry under the name provided.
If the host is omitted, the local host is assumed. If the port is omitted, the default registry port 1099 is assumed.
The registry service provider implements the java.naming.Context and java.naming.Referenceable interfaces. Context and Referenceable methods are mapped onto registry operations as described below.
lookup() lookupLink()
The java.rmi.Registry.lookup() method is called. If the returned object is a wrapper around a javax.naming.Reference, the referenced object is created using javax.naming.spi.NamingManager.getObjectInstance(). JNDI links are not currently supported.
bind()
The java.rmi.Registry.bind() method is called. State factories are first consulted through javax.naming.spi.NamingManager.getStateToBind(). The object being bound must be of type java.rmi.Remote, javax.naming.Reference, or javax.naming.Referenceable. If the object is a javax.naming.Reference or javax.naming.Referenceable, its reference is wrapped in a Remote wrapper and then bound (see Binding Objects into the Registry below).
rebind()
The java.rmi.Registry.rebind() method is called. Objects are otherwise treated as for the JNDI bind() operation.
unbind()
The java.rmi.Registry.unbind() method is called.
rename()
This method is implemented as a sequence of JNDI operations: lookup(), bind(), unbind(). The sequence is not performed atomically.
list()
The java.rmi.Registry.list() method is called. As this provides no information about the types of the bound objects, each javax.naming.NameClassPair returned has the generic java.lang.Object as its class name.
listBindings()
The java.rmi.Registry.list() method is called. As each javax.naming.Binding is read from the resulting enumeration, java.rmi.Registry.lookup() is called and passed through javax.naming.spi.NamingManager.getObjectInstance().
createSubcontext() destroySubcontext()
These operations are not supported.
getNameParser()
Returns a name parser for case-sensitive atomic names.
getNameInNamespace()
Returns the empty string (the name of the registry).
composeName()
Returns the composition of the two names.
addToEnvironment()
The specified property is added to the context's environment. If the java.naming.rmi.security.manager property is added, the provider will attempt to install the default RMI security manager (see Security Considerations). Other properties may be added or changed in the environment, but have no additional effect on the context.
removeFromEnvironment()
The specified property is removed from the context's environment. The context is otherwise unaffected.
close()
Clears internal state used by the provider, but otherwise has no immediate effect.
getReference()
If this context was constructed from a reference, a clone of that reference is returned. Otherwise a new reference for the context is returned, providing that the host name can be determined and is not "localhost" (see Binding Registry Contexts and Remote Objects below).
Binding Objects into the Registry
An object may be bound into a registry context if it implements the java.rmi.Remote interface. An object may also be bound if it is a JNDI Reference object, or if it implements the Referenceable interface (in which case the corresponding reference will be bound in place of the object itself).
Binding Registry Contexts and Remote Objects
Each RMI registry context implements the Referenceable interface. It may therefore be bound into any JNDI-accessible namespace that can store Referenceable objects. A reference to an individual remote object that is registered with a registry may also be constructed, allowing that object to be bound into another namespace.
The class com.sun.jndi.rmi.registry.RegistryContextFactory implements the object factory that converts registry references into the corresponding registry contexts or remote objects.
For a registry context to be constructed, the registry's URL must be determined. This URL may come from the java.naming.provider.url property, or may be passed as a name to the initial context, or may be embedded in a registry reference. If the URL contains no host name or uses the host name "localhost", then the registry context's getReference() method is unable to return a reference for the context. Such a registry context, therefore, cannot be bound into another namespace.
Registry Reference Format
A JNDI reference for an RMI registry contains a list of string addresses (class StringRefAddr), each tagged with the type "URL". Each address contains an RMI URL locating either a registry, or a remote object registered with a registry (see RMI URL Format above).
When multiple URLs appear within a single reference, each represents an alternative address for the same logical resource. The order of the addresses is not significant. Addresses not of class StringRefAddr, or not of address type "URL", are ignored.
Example 1
To create an initial context that accesses a registry, set the properties java.naming.factory.initial and java.naming.provider.url as described in Environment Properties above. Then the names stored in the registry, for example, may be listed as follows:
Context ictx = new InitialContext(env); NamingEnumeration enum = ictx.list("");
Example 2
Instead of using the properties as above, you may pass an RMI URL as a name to resolve in the default initial context:
Context registryCtx = (Context)ictx.lookup("rmi://host");
Example 3
A registry context may be bound into another JNDI-accessible namespace. To bind registryCtx (from the preceding example) into an LDAP directory, for example:
Context ldapCtx = (Context)ictx.lookup("ldap://server/o=sun,c=us"); ldapCtx.bind("cn=rmi", registryCtx);If the names R1 and R2 are bound in this registry, then a JNDI client browsing the LDAP namespace will see R1 and R2 beneath the cn=rmi entry.
Example 4
A remote object that is registered with an RMI registry may be bound into another JNDI-accessible namespace by constructing a reference for that object. If the variable obj holds the object named R1 from the preceding examples, it may be bound into an LDAP directory as follows:
RefAddr addr = new StringRefAddr("URL", "rmi://host/R1"); Reference ref = new Reference(obj.getClass().getName(), addr); ldapCtx.bind("cn=R1", ref);
The usual security considerations of RMI apply. For RMI to dynamically load classes from a remote server, a security manager must first be installed. This can be done in the same way as it would for any other RMI application. See the Java Remote Method Invocation Specification. Or, if the environment property java.naming.rmi.security.manager is passed to the provider, then the provider will attempt to install the RMISecurityManager itself.
The application using JNDI and the RMI registry provider must be granted the following permissions:
permission java.net.SocketPermission "host[:port]", "connect";
For each host/port identified in the java.naming.provider.url property and in URL string names supplied to context methods.
permission java.net.SocketPermission "host[:port]", "connect,accept";
For each host/port identified in the URL strings in javax.naming.References.
permission java.lang.RuntimePermission "setSecurityManager";
If using the java.naming.rmi.security.manager environment property, which asks the RMI registry provider to install the RMISecurityManager.


Backupstick for AppleTV?
I spent the afternoon attempting to cobble up the backupstick - a usb-stick, no-installation backup of the AppleTV hard drive. It's supposedly working right now, but I won't know the outcome for another hour or so... (based on other people's estimates.)
The plan of attack was to use a USB hard drive with about 40 gigs on it, this one originally scavenged from my G4 Mini I believe. I was looking at the AwkwardTV Patchstick's launchd file - which is the file executed on the AppleTV which runs ssh and installs plugins - and modifying the script so it did nothing, and should just boot print some pretty messages and exit. This would be the entry point to execute the backup code, when I would get that far.
By the way, prerequisite to all of this is having a copy of Tiger on an Intel Mac. I'm running Leopard now but (as I've mentioned) I'd backed up onto another hard drive. Gotta love that OSX creates bootable backups (via SuperDuper, IIRC). The AppleTV OS is apparently closest to a 10.4 (.7?) version, and because of that we can copy binaries from Tiger to the booting memory stick.
For whatever reason, neither the mb_boot_tv bootstick nor a neutered version of the AwkwardTV Patchstick (recall I wanted to backup the drive unmodified) would boot from the USB harddrive. (It might be worth looking at the source - the 0xfeedbeef instructions to see if there's some step that doesn't work well with hard drives.)
Since I had the mb_boot_tv booting from a 2 Gig memory stick eventually I threw that in and with both scripts it WOULD boot, so there was something unbootably funky about the hard drive. The symptoms, for reference, are: seeing the apple logo, an unusual flicker in the logo - probably a failure to boot - and then it boots to the normal AppleTV experience. (wee! but not what I was looking for).
With the memory stick it really is as interesting as modifying the createPatchstick script, and modifying the launchd script. I poked around by listing /dev/disk* on the AppleTV, then modified the createPatchstick script to add dd and gzip. The problem is that the 2 Gig memory stick isn't big enough to hold the compressed image - most approximations put it at 2.4 Gig.
Fortunately the other hard drive is still usable! I just boot from the usb stick and then write the image to the hard drive. I'll have to put together the scripts online if anyone else is interested.
Ha! Looks like I forgot one detail - something in the changes I've done causes it to reboot endlessly which means it might have overwritten the disk image since I missed the reboot. Add a simple test to see if the file exists and boom. I have a 2.4 Gig image of the disk. The next question is the best way to test it.
Cause a backup don't mean nothing unless you know it works.
The next steps beyond validation are:
- installing linux,
- getting a working MythBuntu system on the hard drive, then
- creating the netbootable version of that image, then
- restoring the pristine AppleTV OS and booting using the mb_boot_tv method.
About this entry
You"re currently reading "Backupstick for AppleTV?," an entry on a crick in the net
- Published:
- 01.26.08 / 9pm
- Category:
- Gadget-o-rama, MythTV
re: bootable backups.
I thought SuperDuper didn't work with Leopard?
Fortunately, I think Carbon Copy Cloner does. I guess I'll know soon, as I'm going try to get both a bootable backup, and a leopard install going on this here external drive.
I was backing up Tiger when I used SuperDuper - Leopard doesn't run on the AppleTV.


public final class GlobalSetting
extends java.lang.Object
| Modifier and Type | Field and Description |
|---|---|
static int |
ANIMATION_DELAY |
static int |
BOARD_GRID_SIZE |
static java.awt.Color |
COMPLETE_WHITE_TRANSPARENT |
static int |
GAME_CELL_HEIGHT |
static int |
GAME_CELL_WIDTH |
static int |
INITIAL_PLAYER_SCORE |
static int |
MAX_ACTION_ALLOWED |
static java.lang.String |
PLAYER_LOST_MESSAGE |
static java.lang.String |
PLAYER_PROJECTILE_IMAGE_PATH |
static int |
PLAYER_SCORE_DECREMENT_PER_TURN |
static java.lang.String |
PLAYER_TANK_IMAGE_PATH |
static java.lang.String |
PLAYER_TANK_IMAGE_PATH_DOWN |
static java.lang.String |
PLAYER_TANK_IMAGE_PATH_LEFT |
static java.lang.String |
PLAYER_TANK_IMAGE_PATH_RIGHT |
static java.lang.String |
PLAYER_TANK_IMAGE_PATH_UP |
static java.lang.String |
PLAYER_WON_MESSAGE |
static int |
PLAYER1_XPOS |
static int |
PLAYER1_YPOS |
static int |
PLAYER2_XPOS |
static int |
PLAYER2_YPOS |
static java.awt.Font |
tankTempFont |
public static final java.lang.String PLAYER_TANK_IMAGE_PATH
public static final java.lang.String PLAYER_TANK_IMAGE_PATH_UP
public static final java.lang.String PLAYER_TANK_IMAGE_PATH_DOWN
public static final java.lang.String PLAYER_TANK_IMAGE_PATH_LEFT
public static final java.lang.String PLAYER_TANK_IMAGE_PATH_RIGHT
public static final java.lang.String PLAYER_PROJECTILE_IMAGE_PATH
public static final java.lang.String PLAYER_WON_MESSAGE
public static final java.lang.String PLAYER_LOST_MESSAGE
public static final java.awt.Font tankTempFont
public static final java.awt.Color COMPLETE_WHITE_TRANSPARENT
public static final int INITIAL_PLAYER_SCORE
public static final int PLAYER_SCORE_DECREMENT_PER_TURN
public static final int ANIMATION_DELAY
public static final int MAX_ACTION_ALLOWED
public static final int BOARD_GRID_SIZE
public static final int PLAYER1_XPOS
public static final int PLAYER1_YPOS
public static final int PLAYER2_XPOS
public static final int PLAYER2_YPOS
public static final int GAME_CELL_HEIGHT
public static final int GAME_CELL_WIDTH


An android app built on Titanium which recommends TV shows you can watch on television in India. The app learns your preferences over time for recommendations, also you can set reminders for shows and do a lot more. We built both the app and backend API for accessing television data.
The Backend API was built on Ruby on Rails with proper versioning, Caching.


When you use the Resources tool to upload an item, you can choose to keep that item accessible only to members of your site, or you can choose to make the item publicly viewable (i.e., available on the World Wide Web). The latter option allows you to share an item with the participants of another site.
To allow people outside your site to see an item in your Resources:
My Workspace
to access your personal items, or
click a site tab to access items there.Resources
.Actions
menu, choose Edit Details
.
This file is publicly
viewable
or, for folders, This folder and its contents are
publicly viewable
.
Update
.
After you've made your files publicly viewable, you can access and share them via the web. To find the public URL for a file in Resources, see Finding the URL of a Resources item.


What is PostTrio About?
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Keep Up With Our Progress!
Follow our progress on our blog below.
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Next: Loop Keywords, Previous: Simple Loop, Up: Overview of the Loop Facility
An extended loop form is one that has a body containing atomic expressions. When the loop macro processes such a form, it invokes a facility that is commonly called "the Loop Facility."
The Loop Facility provides standardized access to mechanisms commonly used in iterations through Loop schemas, which are introduced by loop keywords.
The body of an extended loop form is divided into loop clauses, each which is in turn made up of loop keywords and forms.


{{ eachAccount.name }} has {{eachAccount.checking}} in Checking and {{eachAccount.savings}} in Savings Add $5


# extends 'base.html' # block header
Hello, salary, world!
Salary will help track your monthly payments. It's an application only for employees that get paid monthly.
You can access the application from everywhere in the world, as long as you have access to the internet.


Preparation time
less than 30 mins
Cooking time
30 mins to 1 hour
Serves
Serves 4
Dietary
Creamy, salty feta works wonderfully with sweet citrus flavours – a great way to add a bit of gourmet pizazz to your weekend brunch.
For the pancakes, combine the flour, sugar and salt, then mix in the eggs using a whisk. Add the milk gradually to avoid any lumps.
To cook the pancakes, add a smear of melted butter to a non-stick frying pan, using a pastry brush. Ladle in some batter, swirling around to coat the pan - it might take one or two test pancakes before you’ve got the amount of batter just right. Cook each pancake on both sides until golden-brown and then remove to a plate while you cook the next pancake.
For the salad, place the cut lettuce into ice-cold water and leave for a couple of minutes. Just before serving, remove from the water and drizzle with olive oil.
For the glaze, heat a medium saucepan and add the orange juice and cinnamon stick. Stir in the honey and saffron and cook until reduced to a syrupy glaze.
Sprinkle the feta on the pancakes and fold them into quarters. Return the folded pancakes to the frying pan and pour over the glaze. Heat gently for a few minutes.
Serve the pancakes with any remaining glaze poured on top. Serve the salad alongside.


ANTLR 2.7.2 Installation ANTLR comes as a single zip or compressed tar file. Unzipping the file you receive will produce a directory called antlr-2.7.2 with subdirectories antlr, doc, examples, and lib. You will find antlr.jar (<400k), which contains all the runtime necessary to use ANTLR-generated Java-based recognizers but also the ANTLR tool itself. You need to place the antlr-2.7.2/antlr.jar jar in your CLASSPATH environment variable so the ANTLR .class files can be seen. For example, if you placed antlr-2.7.2 in directory /tools, you need to append
to your CLASSPATH or.
if you work on a Windows box. References to antlr.* will map to /tools/antlr-2.7.2/antlr/*.class. You must have at least JDK 1.1 installed properly on your machine. The ASTFrame AST viewer uses Swing 1.1 package names now.
ANTLR is a command line tool (although many development environments let you run ANTLR on grammar files from within the environment). The main method within antlr.Tool is the ANTLR entry point.
If you have trouble running ANTLR, ensure that you have Java installed correctly and then ensure that you have the appropriate CLASSPATH set. See Getting started.
If you alter ANTLR itself (i.e., it's Java files) and you want to rebuild ANTLR itself, make sure that the Java files in the antlr/build directory are compiled (just jump in and say "javac *.java"). Then, from the antlr-2.7.2 directory you can run the portable antlr self-build: java antlr.build.Tool buildTo make the jar file java antlr.build.Tool jarThis uses property antlr.build.root to figure out where the antlr dir associated with the antlr package resides. It defaults to "." (current directory). You may also set the compiler as in: java -Dantlr.build.compiler=jikes antlr.build.Tool buildI have tested this on win2k (cmd shell and bash from GNU) and Mac OS X. Further, I have removed all of the build shell scripts and mkjar type scripts I had since there is only one all encompassing antlr.jar now and a self-build tool. See the associated doc files for building C++ or building C# support files. |


This project was taking data from the Chicago's data portal and projecting that data in different forms.For this specific project, the occurances of service requests for potholes was analyzed and displayed in a table, pie chart, and google maps heat map form.These were all created using google's charts and ajax calls were made with queries to grab the data from the Chicago database.
The Table simply displays the number of potholes per community area which was given a specific number.
The information is also displayed in a Pie Chart form, with different colors for the different community areas.
The Heat Map displays these potholes using google maps api.


Methods
Instance Public methods
execute(*args)
Link
Also aliased as: execute_without_retry
Source: show
# File config/initializers/connection_fix.rb, line 21 def execute(*args) execute_without_retry(*args) rescue ActiveRecord::StatementInvalid => e if e.message =~ %rserver has gone away/ warn "Server timed out, retrying" reconnect! retry else raise e end end
execute_without_retry(*args)
Link


Access Admin Info
Display status info about the Access Service
Active Threads:
{{adminStats.activeThreads}}
Thread Queue:
{{adminStats.threadQueue}}


Starting with Spark 1.0.0, the Spark project will follow the semantic versioning guidelines with a few deviations. These small differences account for Spark’s nature as a multi-module project.
Each Spark release will be versioned: [MAJOR].[FEATURE].[MAINTENANCE]
When new components are added to Spark, they may initially be marked as “alpha”. Alpha components do not have to abide by the above guidelines, however, to the maximum extent possible, they should try to. Once they are marked “stable” they have to follow these guidelines.
An API is any public class or interface exposed in Spark that is not marked as “developer API” or “experimental”. Release A is API compatible with release B if code compiled against release A compiles cleanly against B. Currently, does not guarantee that a compiled application that is linked against version A will link cleanly against version B without re-compiling. Link-level compatibility is something we’ll try to guarantee in future releases.
Note, however, that even for features “developer API” and “experimental”, we strive to maintain maximum compatibility. Code should not be merged into the project as “experimental” if there is a plan to change the API later, because users expect the maximum compatibility from all available APIs.
The Spark project strives to avoid breaking APIs or silently changing behavior, even at major versions. While this is not always possible, the balance of the following factors should be considered before choosing to break an API.
Breaking an API almost always has a non-trivial cost to the users of Spark. A broken API means that Spark programs need to be rewritten before they can be upgraded. However, there are a few considerations when thinking about what the cost will be:
How long has the API been in Spark?
Is the API common even for basic programs?
How often do we see recent questions in JIRA or mailing lists?
How often does it appear in StackOverflow or blogs?
Behavior after the break - How will a program that works today, work after the break? The following are listed roughly in order of increasing severity:
Will there be a compiler or linker error?
Will there be a runtime exception?
Will that exception happen after significant processing has been done?
Will we silently return different answers? (very hard to debug, might not even notice!)
Of course, the above does not mean that we will never break any APIs. We must also consider the cost both to the project and to our users of keeping the API in question.
Project Costs - Every API we have needs to be tested and needs to keep working as other parts of the project changes. These costs are significantly exacerbated when external dependencies change (the JVM, Scala, etc). In some cases, while not completely technically infeasible, the cost of maintaining a particular API can become too high.
User Costs - APIs also have a cognitive cost to users learning Spark or trying to understand Spark programs. This cost becomes even higher when the API in question has confusing or undefined semantics.
In cases where there is a “Bad API”, but where the cost of removal is also high, there are alternatives that should be considered that do not hurt existing users but do address some of the maintenance costs.
Avoid Bad APIs - While this is a bit obvious, it is an important point. Anytime we are adding a new interface to Spark we should consider that we might be stuck with this API forever. Think deeply about how new APIs relate to existing ones, as well as how you expect them to evolve over time.
Deprecation Warnings - All deprecation warnings should point to a clear alternative and should never just say that an API is deprecated.
Updated Docs - Documentation should point to the “best” recommended way of performing a given task. In the cases where we maintain legacy documentation, we should clearly point to newer APIs and suggest to users the “right” way.
Community Work - Many people learn Spark by reading blogs and other sites such as StackOverflow. However, many of these resources are out of date. Update them, to reduce the cost of eventually removing deprecated APIs.
The branch is cut every January and July, so feature (“minor”) releases occur about every 6 months in general. Hence, Spark 2.3.0 would generally be released about 6 months after 2.2.0. Maintenance releases happen as needed in between feature releases. Major releases do not happen according to a fixed schedule.
| Date | Event |
|---|---|
| July 16th 2023 | Code freeze. Release branch cut. |
| Late July 2023 | QA period. Focus on bug fixes, tests, stability and docs. Generally, no new features merged. |
| August 2023 | Release candidates (RC), voting, etc. until final release passes |
Feature release branches will, generally, be maintained with bug fix releases for a period of 18 months. For example, branch 2.3.x is no longer considered maintained as of September 2019, 18 months after the release of 2.3.0 in February 2018. No more 2.3.x releases should be expected after that point, even for bug fixes.
The last minor release within a major a release will typically be maintained for longer as an “LTS” release. For example, 2.4.0 was released in November 2nd 2018 and had been maintained for 31 months until 2.4.8 was released on May 2021. 2.4.8 is the last release and no more 2.4.x releases should be expected even for bug fixes.


Simple jQuery Tag Input plugin with advanced features.
Features
- uses jQuery UI themes
- autocomplete
- open source (MIT license)
- advanced features
autoresize, tag transformations, input character restrictions,
allow tags only from autocomplete, cursor navigation between tags - cross browser
tested in Chrome, Firefox, Opera and Internet Explorer 6 7 8
Demo
Try the plugin for yourself, type some text and press tab key to create new tag.
Try to type PHP, Python, Java, JavaScript to see auto-completion in action.
Navigate wit left and right arrow key between tags.
Press backspace or delete to remove tags.
Try to choose different themes:
See more examples of advanced usage and documentation of all available options.
Download
download hereSource code is hosted on github.
Please fill feature requests and bug reports here.
Other plugins
If this plugin doesn't fit your taste (please let me know why), you can try different ones from other authors:
- jQuery Tag-it! - simple jQuery UI compatible plugin
- jQuery TextExt - advanced plugin with lots of features and modules
- VisualSearch.js - interesting plugin for faceted search input
- jQuery Tagit - another plugin
- jQuery Tags Input Plugin - yet another plugin
I wish to thank here to Tag-it and Visualsearch authors for inspiration and some code snippets.


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Graduated in Analisys and Development of Systems
In alphabetical order, Analisis: Resposible for extract and struture data of expa for help the understand of people. News: Responsible for the production of a report of evolution and analysis that the analisys team get it. Process Evolution: Is the mos BI team of IM, working with evolution of process of OGX and ICX, for we do more better our convertions
I have been member of IM team for the past 4 months since october. And the ideias of Rodolfo the MCVP IM, for the area is big, are very ambicius and it will be such a honor to grow up with the area and the ideias of him, and leader the UX team, so... to summarize: It's a great opportunity to grow up of my work as a FullStack Web Developer; To help aiesec become more acessible and user friendly; And become more experienced with national projects.
The aiesec.org.br website doesn't has a real good UX, with some tests you can see that even worse than that does not has a good performace, and well... good acessebility. the website is mobile friendly but the lading of the website in a 3g network is very bad, it's take at least 10 seconds for the first interative of the users, and well... in Brazil most of the users give up of the website, in the first 3 seconds. So that's is a point. With acessebility. There are many elements on the webpage that a blind user can't see, because it's not marked as it has to be marked for a blind user using a screen reader for example. For the UX, the main problem is that the user has to think about where is the information of the project, the website doesn't follow some of heuristics of Nielsen, such as a minimalist design, and reconignition rather than recall
The operation choosen was, OGX OGET.
Step 1: Lead Fit: Is She your type? Our EP fit on the type of an OGET operation? What's your demographics?
The experience time, what's your location etc. This questions are very important to get to know and get more
specialized eps in the lead OGX, many of the OGET eps are very misaligned with the GT and GE opportunitys and
with this the attraction phase of the customer flow, is very impaired. The main tool to get this flow, is create
pre-interview forms to make more clear what is the type of the EP.
Step 2: Lead Fit: Does she/he Like you? It's possible to predict if the user is more preferable to
become a customer seeing the activity time of it on the website. If he's has the intention to buy or not(as
seeing in the image bellow). This is possible using the analistys google website.


--- layout: post status: publish published: true title: Diablo and Indigo author: display_name: Tomas Restrepo login: tomasr email<EMAIL_ADDRESS>url: http://winterdom.com/ author_login: tomasr author_email<EMAIL_ADDRESS>author_url: http://winterdom.com/ wordpress_id: 362 wordpress_url: http://winterdom.com/2004/12/diabloandindigo date: '2004-12-06 17:16:04 +0000' date_gmt: '2004-12-06 17:16:04 +0000' categories: - Enterprise Services tags: [] comments: [] ---
While searching for a few things this morning, I ran into an older post from Christian, pondering whether Indigo was supposed to be the next version of COM+ or not. This, of course, has been discussed quite a bit in posts from others like Don [2] and Richard.
What did intrigued me was that, shortly after that, I ran into these old posts from Steve Swartz on the DCOM mailing list, where he mentions "Diablo" as being "the code name for the managed service environment that will ship next year" (that was 2001, btw).
Does anyone care to tell the uninformed (aka "me") what diablo was supposed to have been (or is) and what relation it ended having with Indigo, if any?


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Kriging and Gradient-Enhanced Kriging - version 2 (kriging_v2)¶
Simple Kriging and GEK in d-dimensions.
This differs from kriging_v1 mainly in that sample locations are calculated separately from prediction locations - the implementation does not follow the Bayesian derivation as closely, but this saves a lot of time and memory.
-
class
vkikriging.kriging_v2.
GEK
(xi, y, dy, sigma_y, sigma_dy, mu_x, sd_x, gamma)[source]¶ Bases:
object
Gradient-Enhanced Kriging (GEK) in d-dimensions for a single variable. This differs from kriging_v1.gek() mainly in that sample locations are calculated separately from prediction locations - the implementation does not follow the Bayesian derivation as closely, but this saves a lot of time and memory. Construction of the surrogate happens in the __init__() call, after which predictions can be made with one or more predict() calls.
- Assumptions (as for Kriging class and…):
- Gradients observations colocated with value observations.
- Gradients in all d direcitons observed at all locations.
- Constant gradient error for all locations and directions.
Constant regression at given mean mu, mean gradient assumed zero.
-
composite
(x, dx)[source]¶ Create composite vector of values and gradients - return 1d vector xc. This function defines the order of entries in composite vectors, and we must be consistent with prior_cov(). The reverse of this is separate().
-
predict
(xip, posterior_cov=None, partial=False)[source]¶ Predict response at locations xip in d-dimensions.
Parameters: - xip (ndarray) – Prediction locations, shape (m, d)
- posterior_cov (str) – None, return posterior mean only, ‘diag’, diagonal part only, array (m), ‘full’, full cov matrix, array (m x m).
- partial (bool) – Construct only part of the covariance matrix, reduces cost, but allows output of values only, not gradients, and not CoV.
Returns: muhat, [Sigmahat] - Posterior mean, covariance
-
predict_split
(xip, max_array=10000000.0)[source]¶ Same as predict(), but splits a very large job into multiple smaller jobs to save memory. Arg. max_array specifies the maximum size of the array that should be created in the process. Handy when doing Monte-Carlo on the GEK surface. Only values, not gradients predicted.
-
class
vkikriging.kriging_v2.
Kriging
(xi, y, sigma_y, mu_x, sd_x, gamma)[source]¶ Bases:
object
Simple Kriging in d-dimensions for a single variable. Construction of the surrogate happens in the __init__() call, after which predictions can be made with multiple predict() calls.
- Assumptions:
- Constant regression at specified mean mu.
- Same constant error for all observations (sigma_y)
- Stationarity of the Gaussian process (constant standard
- deviation of the prior).
Parameters: - xi (ndarray) – Sample locations (observations only), shape (n,d)
- x (ndarray) – Sample values. Shape n.
- sigma_y (float) – Standard-deviation of observation error. Scalar.
- sd_x (mu_x,) – (Sample) mean and standard-deviation of the approximated function, used in the prior. Scalars.
- gamma (float) – Correlation coefficient in all directions. Scalar.
-
predict
(xip, posterior_cov=None)[source]¶ - Predict response at locations xip in d-dimensions.
xip - Prediction locations, array (m x d) posterior_cov - None, return posterior mean only,
‘diag’, diagonal part only, array (m), ‘full’, full cov matrix, array (m x m).- Return
- muhat, [Sigmahat] - Posterior mean, covariance