A decorator to tell the Server that a class or a method should only accept requests from clients that accepts one of the supported mime types.
For example:
@ Path('accept')
@ Accept('application/json')
class TestAcceptService {
// ...
}
Will reject requests that only accepts mime types that are not 'application/json'
If the mime type requested is not supported, a status code 406 returned
A decorator to tell the Server that a class or a method should only accept requests from clients that accepts one of the supported languages.
For example:
@ Path('accept')
@ AcceptLanguage('en', 'pt-BR')
class TestAcceptService {
// ...
}
Will reject requests that only accepts languages that are not English or Brazilian portuguese
If the language requested is not supported, a status code 406 returned
Decorator processor for AcceptLanguage decorator on methods
Decorator processor for AcceptLanguage decorator on classes
Decorator processor for Accept decorator on methods
Decorator processor for Accept decorator on classes
A decorator to inform options to pe passed to bodyParser. You can inform any property accepted by [bodyParser]
A decorator to be used on class properties or on service method arguments to inform that the decorated property or argument should be bound to the ServiceContext object associated to the current request.
For example:
@ Path('context')
class TestService {
@ Context
context: ServiceContext;
// ...
}
The field context on the above class will point to the current ServiceContext instance.
A decorator to be used on class properties or on service method arguments to inform that the decorated property or argument should be bound to the the preferred media type for the current request.
For example:
@ Path('context')
class TestService {
@ ContextAccept
media: string
// ...
}
A decorator to be used on class properties or on service method arguments to inform that the decorated property or argument should be bound to the the current context language.
For example:
@ Path('context')
class TestService {
@ ContextLanguage
language: string
// ...
}
A decorator to be used on class properties or on service method arguments to inform that the decorated property or argument should be bound to the the next function.
For example:
@ Path('context')
class TestService {
@ ContextNext
next: express.NextFunction
// ...
}
The next function can be used to delegate to the next registered middleware the current request processing.
A decorator to be used on class properties or on service method arguments to inform that the decorated property or argument should be bound to the the current request.
For example:
@ Path('context')
class TestService {
@ ContextRequest
request: express.Request;
// ...
}
The field request on the above class will point to the current request.
A decorator to be used on class properties or on service method arguments to inform that the decorated property or argument should be bound to the the current response object.
For example:
@ Path('context')
class TestService {
@ ContextResponse
response: express.Response;
// ...
}
The field response on the above class will point to the current response object.
Creates a mapping between a cookie on request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ GET
getPeople(@ CookieParam('cookie') cookie: string) {
// ...
}
}
Will create a service that listen for requests and bind the cookie called 'cookie' to the cookie argument on getPerson method's call.
A decorator to tell the Server that a method should be called to process HTTP DELETE requests.
For example:
@ Path('people')
class PeopleService {
@ DELETE
@ Path(':id')
removePerson(@ PathParam('id')id: string) {
// ...
}
}
Will create a service that listen for requests like:
PUT http://mydomain/people/123
A decorator to tell the Server that a method should be called to process HTTP DELETE requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ DELETEMapping(':id')
removePerson(@ PathParam('id')id: string) {
// ...
}
}
Will create a service that listen for requests like:
PUT http://mydomain/people/123
Creates a mapping between a file on a multipart request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ POST
@ Path('id')
addAvatar(@ PathParam('id') id: string,
@ FileParam('avatar') file: Express.Multer.File) {
// ...
}
}
Will create a service that listen for requests and bind the file with name 'avatar' on the requested form to the file argument on addAvatar method's call.
Creates a mapping between a list of files on a multipart request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ POST
@ Path('id')
addAvatar(@ PathParam('id') id: string,
@ FilesParam('avatar[]') files: Array<Express.Multer.File>) {
// ...
}
}
Will create a service that listen for requests and bind the files with name 'avatar' on the request form to the file argument on addAvatar method's call.
Creates a mapping between a form parameter on request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ GET
getPeople(@ FormParam('name') name: string) {
// ...
}
}
Will create a service that listen for requests and bind the request paramenter called 'name' to the name argument on getPerson method's call.
A decorator to tell the Server that a method should be called to process HTTP GET requests.
For example:
@ Path('people')
class PeopleService {
@ GET
getPeople() {
// ...
}
}
Will create a service that listen for requests like:
GET http://mydomain/people
A decorator to tell the Server that a method should be called to process HTTP GET requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ GETMapping('/list')
getPeople() {
// ...
}
}
Will create a service that listen for requests like:
GET http://mydomain/people/list
A decorator to tell the Server that a method should be called to process HTTP HEAD requests.
For example:
@ Path('people')
class PeopleService {
@ HEAD
headPerson() {
// ...
}
}
Will create a service that listen for requests like:
HEAD http://mydomain/people/123
A decorator to tell the Server that a method should be called to process HTTP HEAD requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ HEADMapping('/list')
headPerson() {
// ...
}
}
Will create a service that listen for requests like:
HEAD http://mydomain/people/list
Creates a mapping between a header on request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ GET
getPeople(@ HeaderParam('header') header: string) {
// ...
}
}
Will create a service that listen for requests and bind the header called 'header' to the header argument on getPerson method's call.
A decorator to tell the Server that a method should be called to process HTTP OPTIONS requests.
For example:
@ Path('people')
class PeopleService {
@ OPTIONS
optionsPerson() {
// ...
}
}
Will create a service that listen for requests like:
OPTIONS http://mydomain/people/123
A decorator to tell the Server that a method should be called to process HTTP OPTIONS requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ OPTIONSMapping('/list')
optionsPerson() {
// ...
}
}
Will create a service that listen for requests like:
OPTIONS http://mydomain/people/list
A decorator to tell the Server that a method should be called to process HTTP PATCH requests.
For example:
@ Path('people')
class PeopleService {
@ PATCH
@ Path(':id')
savePerson(person: Person) {
// ...
}
}
Will create a service that listen for requests like:
PATCH http://mydomain/people/123
A decorator to tell the Server that a method should be called to process HTTP PATCH requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ PATCHMapping(':id')
savePerson(person: Person) {
// ...
}
}
Will create a service that listen for requests like:
PATCH http://mydomain/people/123
A decorator to tell the Server that a method should be called to process HTTP POST requests.
For example:
@ Path('people')
class PeopleService {
@ POST
addPerson() {
// ...
}
}
Will create a service that listen for requests like:
POST http://mydomain/people
A decorator to tell the Server that a method should be called to process HTTP POST requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ POSTMapping('/add')
addPerson() {
// ...
}
}
Will create a service that listen for requests like:
POST http://mydomain/people/add
A decorator to tell the Server that a method should be called to process HTTP PUT requests.
For example:
@ Path('people')
class PeopleService {
@ PUT
@ Path(':id')
savePerson(person: Person) {
// ...
}
}
Will create a service that listen for requests like:
PUT http://mydomain/people/123
A decorator to tell the Server that a method should be called to process HTTP PUT requests for specific path.
For example:
@ Path('people')
class PeopleService {
@ PUTMapping(':id')
savePerson(person: Person) {
// ...
}
}
Will create a service that listen for requests like:
PUT http://mydomain/people/123
Creates a mapping between a parameter on request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ GET
getPeople(@ Param('name') name: string) {
// ...
}
}
Will create a service that listen for requests and bind the request paramenter called 'name' to the name argument on getPerson method's call. It will work to query parameters or form parameters received in the current request.
A decorator to tell the Server that a class or a method should be bound to a given path.
For example:
@ Path('people')
class PeopleService {
@ PUT
@ Path(':id')
savePerson(person:Person) {
// ...
}
@ GET
@ Path(':id')
getPerson():Person {
// ...
}
}
Will create services that listen for requests like:
PUT http://mydomain/people/123 or
GET http://mydomain/people/123
Decorator processor for Path decorator on methods
Creates a mapping between a fragment of the requested path and a method argument.
For example:
@ Path('people')
class PeopleService {
@ GET
@ Path(':id')
getPerson(@ PathParam('id') id: string) {
// ...
}
}
Will create a service that listen for requests like:
GET http://mydomain/people/123
And pass 123 as the id argument on getPerson method's call.
Decorator processor for Path decorator on classes
A decorator to tell the Server that a class or a method should include a pre-processor in its request pipelines.
For example:
function validator(req: express.Request): express.Request {
if (req.body.userId != undefined) {
throw new Errors.BadRequestError("userId not present");
} else {
req.body.user = Users.get(req.body.userId)
return req
}
}
And:
@ Path('people')
class PeopleService {
@ PUT
@ Path(':id')
@ Preprocessor(validator)
savePerson(person:Person) {
// ...
}
}
Decorator processor for Preprocessor decorator on methods
Decorator processor for Preprocessor decorator on classes
Creates a mapping between a query parameter on request and a method argument.
For example:
@ Path('people')
class PeopleService {
@ GET
getPeople(@ QueryParam('name') name: string) {
// ...
}
}
Will create a service that listen for requests like:
GET http://mydomain/people?name=joe
And pass 'joe' as the name argument on getPerson method's call.
A decorator to tell the Server that a class or a method should include a determined role or all authorized users (token) using passport
For example:
@ Path('people')
@ Security()
class PeopleService {
@ PUT
@ Path(':id', true)
@ Security(['ROLE_ADMIN'])
savePerson(person:Person) {
// ...
}
@ GET
@ Path(':id', true)
getPerson():Person {
// ...
}
}
Will create services that listen for requests like:
PUT http://mydomain/people/123 (Only for ADMIN roles) or
GET http://mydomain/people/123 (For all authorized users)
Decorator processor for Security decorator on methods
Decorator processor for Security decorator on classes
Decorator processor for parameter annotations on methods
Decorator processor for annotations on properties
Decorator processor for HTTP verb annotations on methods
Extract metadata for rest methods
Generated using TypeDoc
Mark the annotated service class as an abstract service. Abstract services has none of its methods exposed as rest enpoints, even if the class is in the services list to be exposed.
For example:
@ Abstract abstract class PeopleService { @ GET getPeople(@ Param('name') name: string) { // ... } }
No endpoint will be registered for PeopleService. It is useful if you only plain that subclasses of PeopleService exposes the getPeople method.


As null terminated strings are used throughout C interfaces, their use is supported in Forth by way of several non-standard words with the convention of using Z/z to refer to such strings in names and stack comments.
Z" ( "string" -- z ) Creates a null terminated string on the heap Z>S ( z -- a n ) Convert a null terminated string to a counted string S>Z ( a n -- z ) Conver a counted string string to null terminated (copies string to heap)
Raw strings are provided better support using a string for the duration of the current command, without consuming heap memory.
R" ( "string" -- a n ) Creates a temporary counted string R| ( string| -- a n ) Creates a temporary counted string ending with |
DUMP ( a n -- ) Dump a memory region SEE ( "name" -- ) Attempt to decompile a word VARIABLE ECHO -- Determines if commands are echoed
{{FORTH}} uses a hybrid of Forth-79 and Forth-83 style vocabularies.
By default vocabularies chain to the vocabulary in which they were defined,
as in Forth-79. However, like Forth-83, ALSO
can be used to add vocabularies to a vocabulary stack of which
CONTEXT @
is the first item.
The word ONLY
clears the vocabulary stack, but as there is
no separate ONLY vocabulary, it also sets CONTEXT
to the FORTH
vocabulary.
The word SEALED
modifies the most recently defined vocabulary
such that it does not chain. Note, this must be done before words are added to it.
VOCABULARY ( "name" ) Create a vocabulary with the current vocabulary as parent FORTH ( -- ) Make the FORTH vocabulary the context vocabulary DEFINITIONS ( -- ) Make the context vocabulary the current vocabulary VLIST ( -- ) List the words in the context vocabulary (not chains) WORDS ( -- ) List the words in the context vocabulary (including chains) TRANSFER ( "name" ) Move a word from its current dictionary to the current vocabulary Useful for "hiding" built-in words TRANSFER{ ..words.. }TRANSFER ( -- ) Transfer multiple words to the current vocabulary ALSO ( -- ) Duplicate the vocabulary at the top of the vocabulary stack ONLY ( -- ) Reset context stack to one item, the FORTH dictionary Non-standard, as there's no distinct ONLY vocabulary ORDER ( -- ) Print the vocabulary search order SEALED ( -- ) Alter the last vocabulary defined so it doesn't chain
[I]F
, [ELSE]
, and [THEN]
can be used
to selectively compile. Used in tandem with DEFINED?
they can
be used to handle the absence of modules gracefully.
Nesting is supported.
DEFINED? ( "name" -- xt|0 ) Check if a word exists (works at compile time too). [IF] ( f -- ) Conditionally interpret the text the follows. [ELSE] ( -- ) Interpret time ELSE. [THEN] ( -- ) Interpret time THEN.
USE ( "name" -- ) Use "name" as the blockfile, e.g. USE /spiffs/foo OPEN-BLOCKS ( a n -- ) Open a file as the block file LOAD ( n -- ) Evaluate a block THRU ( a b -- ) Load blocks a thru b LIST ( n -- ) List a block BLOCK ( n -- a ) Get a 1024 byte block BUFFER ( n -- a ) Get a 1024 byte block without regard to old contents UPDATE ( -- ) Mark the last block modified FLUSH ( -- ) Save and empty all buffers EMPTY-BUFFERS ( -- ) Empty all buffers SAVE-BUFFERS ( -- ) Save all buffers SCR ( -- a ) Pointer to last listed block
EDITOR
vocabulary.
Note the block editor places newlines in the 63rd column of each line
to make the block file readable in a text editor.
WIPE ( -- ) Blank out the current block L ( -- ) List the current block D ( n -- ) Delete a line in the current block E ( n -- ) Clear a line in the current block R ( n "text" -- ) Replace a line in the current block A ( n "text" -- ) Add (insert) a line in the current block P ( -- ) Move to the previous block N ( -- ) Move to the next block
SEE ( "name" -- ) Attempt to decompile a word ECHO ( -- a ) -- Address of flag that determines if commands are echoed
(Requires v<IP_ADDRESS>+)
Single precision floating-point support is available as a work in progress. While initially left out in the name of minimalism, hardware support for floating-point argues some advantages to limited support.
Floating point is kept on a separate stack.
NOTE: Tasks currently don't correctly support floating point. A single floating point stack is shared by all tasks.
FLOAT OPCODES ------------- DOFLIT ( --- ) Puts a float from the next cell onto float stack. FP@ ( -- a ) FP! ( a -- ) SF@ ( a -- r ) Single precision load SF! ( r a -- ) Single precision store FDUP ( r -- r r ) FNIP ( ra rb -- rb ) FDROP ( r -- ) FOVER ( ra rb -- ra rb ra ) FSWAP ( ra rb -- rb ra ) F0< ( r -- f ) F0= ( r -- f ) F+ ( r r -- r ) F- ( r r -- r ) F* ( r r -- r ) F/ ( r r -- r ) 1/F ( r -- r ) S>F ( n -- r ) F>S ( r -- n ) HIGH LEVEL ---------- F= ( r r -- f ) F< ( r r -- f ) F> ( r r -- f ) F<= ( r r -- f ) F>= ( r r -- f ) F<> ( r r -- f ) SFLOAT ( -- 4 ) SFLOATS ( n -- n*4 ) SFLOAT+ ( a -- a+4 ) SF, ( r -- ) AFLITERAL ( r -- ) FLITERAL ( r -- ) IMMEDIATE FCONSTANT ( r "name" ) FVARAIABLE ( "name" ) PI ( -- r ) FSQRT ( r r -- r )
Locals allow named word local parameters and values.
Syntax: { local1 local2 .. -- comment } or { local1 local2 .. } Locals are ordered to match the stack, examples: : 2OVER { a b c d } a b c d a b ; : MAX { a b -- biggest } a b < IF b ELSE a THEN ; ( Equivalent with DO and FOR ) : POW2 { n } 1 { s } n FOR AFT s 2* to s THEN NEXT s ; : POW2 { n } 1 { s } n 0 DO s 2* to s LOOP s ;
Capabilities and limitations:
>R R>
) - NOT OK(LOCAL)
is also supported.
WARNING: Danger ahead.
Snapshotting the dictionary may not be stable across reinstallations of the C build of Forth.
A collection of non-standard words is provided that allow snapshotting the dictionary and restoring it at startup, with a start word.
SAVE ( "name" -- ) Saves a snapshot of the current dictionary to a file. RESTORE ( "name" -- ) Restore a snapshot from a file. REMEMBER ( -- ) Save a snapshot to the default file (./myforth or /spiffs/myforth on ESP32). STARTUP: ( "name" -- ) Save a snapshot to the default file arranging for "name" to be run on startup. REVIVE ( -- ) Restore the default filename. RESET ( -- ) Delete the default filename.
Here's an example usage:
: welcome ." Hello!" cr 100 0 do i . loop cr ; startup: welcome bye ( Next boot will run a custom startup message ) reset ( Reset removes the custom message )
The INTERNALS
vocabulary has some additional words
for more control.
SAVE-NAME ( a n -- ) Save a snapshot if the current vocabulary to a file. RESTORE-NAME ( a n -- ) Restore a snapshot from a file. 'COLD ( -- a ) Address of the word that will be run on startup. REMEMBER-FILENAME ( -- a n ) Deferred word specifying the platform specific default snapshot filename.


- Media Reports
Vaccine registration system in the news
- Here are some ways to help seniors get registered for the vaccine | 02/06/2021X
- Covid-19 Vaccine and Seniors: What It Is Like for Older Adults Getting Their Shots | 02/04/2021X
- Elderly find getting vaccine harder than getting Hamilton tickets | 01/28/2021X
- Column: Here’s how I broke through and got a COVID vaccine. Let’s hope it gets easier | 01/23/2021X
- What Seniors Can Expect When COVID Vaccines Begin to Roll Out | 12/09/2020X
- Vaccine registration technology is failing. Here’s how the Biden administration could fix it | 01/14/2021X
- Elderly find getting vaccine harder than getting Hamilton tickets | 01/28/2021X
- Elderly find getting vaccine harder than getting Hamilton tickets | 01/28/2021X


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Beef
Months on ye at by esteem desire warmth former. Sure that that way gave any fond now. His boy middleton sir nor engrossed affection excellent.  Well next door soon we mr he four. Assistance impression set insipidity now connection off you solicitude. Under as seems we me stuff those style at.  Next it draw in draw much bred. It sportsman earnestly ye preserved an on. Moment led family sooner cannot her window pulled any. Or raillery if improved landlord to speaking hastened differed he. Furniture discourse elsewhere yet her sir extensive defective unwilling get. Why resolution one motionless you him thoroughly. Noise is round to in it quick timed doors. Written address greatly get attacks inhabit pursuit our but. Lasted hunted enough an up seeing in lively letter. Had judgment out opinions property the supplied. She who arrival end how fertile enabled. Brother she add yet see minuter natural smiling article painted. Themselves at dispatched interested. I am be prosperous reasonably it. In either so spring wished. Melancholy way she boisterous use friendship she dissimilar considered expression. arose mrs lived. Mr things do plenty others an vanity myself waited to. Always parish tastes at as mr father dining at. Article evident arrived express highest men did boy. Mistress sensible entirely am so. Quick can manor smart money hopes worth too. Comfort produce husband boy her had hearing. Law others theirs passed but wishes. You day real less till dear read. Considered use dispatched melancholy sympathize discretion led. Oh feel if up to till like. Do to be agreeable conveying oh assurance. Wicket longer admire do barton vanity itself do in it. Preferred to sportsmen it engrossed listening. Park gate sell they west hard for the. Abode stuff noisy manor blush yet the far. Up colonel so between removed so do. Years use place decay worth drift age. Men lasting out end article express fortune demands own charmed. About are are money ask how seven. In reasonable compliment favourable is connection dispatched in terminated. Do esteem object we called father excuse remove. So dear real on like more it. Laughing for two families addition expenses surprise the. If sincerity he to curiosity arranging. Learn taken terms be as. Scarcely mrs produced too removing new old. Tiled say decay spoil now walls meant house. My mr interest thoughts screened of outweigh removing. Evening society musical besides inhabit ye my. Lose hill well up will he over on. Increasing sufficient everything men him admiration unpleasing. Around really his use uneasy longer him man. His our pulled nature elinor talked now for excuse result. Admitted add peculiar get joy doubtful. His followed carriage proposal entrance directly had elegance. Greater for cottage gay parties natural. Remaining he furniture on he discourse suspected perpetual. Power dried her taken place day ought the. Four and our ham west miss. Education shameless who middleton agreement how. We in found world chief is at means weeks smile. Little afraid its eat looked now. Very ye lady girl them good me make. It hardly cousin me always. An shortly village is raising we shewing replied. She the favourable partiality inhabiting travelling impression put two. His six are entreaties instrument acceptance unsatiable her. Amongst as or on herself chapter entered carried no. Sold old ten are quit lose deal his sent. You correct how several far distant believe journey parties. We shyness enquire uncivil affixed it carried to. Resolution possession discovered surrounded advantages has but few add. Yet walls times spoil put. Be it reserved contempt rendered smallest. Studied to passage it mention calling believe an. Get ten horrible remember pleasure two vicinity. Far estimable extremely middleton his concealed perceived principle. Any nay pleasure entrance prepared her.
Sushi
Months on ye at by esteem desire warmth former. Sure that that way gave any fond now. His boy middleton sir nor engrossed affection excellent.  Well next door soon we mr he four. Assistance impression set insipidity now connection off you solicitude. Under as seems we me stuff those style at.  Next it draw in draw much bred. It sportsman earnestly ye preserved an on. Moment led family sooner cannot her window pulled any. Or raillery if improved landlord to speaking hastened differed he. Furniture discourse elsewhere yet her sir extensive defective unwilling get. Why resolution one motionless you him thoroughly. Noise is round to in it quick timed doors. Written address greatly get attacks inhabit pursuit our but. Lasted hunted enough an up seeing in lively letter. Had judgment out opinions property the supplied. She who arrival end how fertile enabled. Brother she add yet see minuter natural smiling article painted. Themselves at dispatched interested. I am be prosperous reasonably it. In either so spring wished. Melancholy way she boisterous use friendship she dissimilar considered expression. arose mrs lived. Mr things do plenty others an vanity myself waited to. Always parish tastes at as mr father dining at. Article evident arrived express highest men did boy. Mistress sensible entirely am so. Quick can manor smart money hopes worth too. Comfort produce husband boy her had hearing. Law others theirs passed but wishes. You day real less till dear read. Considered use dispatched melancholy sympathize discretion led. Oh feel if up to till like. Do to be agreeable conveying oh assurance. Wicket longer admire do barton vanity itself do in it. Preferred to sportsmen it engrossed listening. Park gate sell they west hard for the. Abode stuff noisy manor blush yet the far. Up colonel so between removed so do. Years use place decay worth drift age. Men lasting out end article express fortune demands own charmed. About are are money ask how seven. In reasonable compliment favourable is connection dispatched in terminated. Do esteem object we called father excuse remove. So dear real on like more it. Laughing for two families addition expenses surprise the. If sincerity he to curiosity arranging. Learn taken terms be as. Scarcely mrs produced too removing new old. Tiled say decay spoil now walls meant house. My mr interest thoughts screened of outweigh removing. Evening society musical besides inhabit ye my. Lose hill well up will he over on. Increasing sufficient everything men him admiration unpleasing. Around really his use uneasy longer him man. His our pulled nature elinor talked now for excuse result. Admitted add peculiar get joy doubtful. His followed carriage proposal entrance directly had elegance. Greater for cottage gay parties natural. Remaining he furniture on he discourse suspected perpetual. Power dried her taken place day ought the. Four and our ham west miss. Education shameless who middleton agreement how. We in found world chief is at means weeks smile. Little afraid its eat looked now. Very ye lady girl them good me make. It hardly cousin me always. An shortly village is raising we shewing replied. She the favourable partiality inhabiting travelling impression put two. His six are entreaties instrument acceptance unsatiable her. Amongst as or on herself chapter entered carried no. Sold old ten are quit lose deal his sent. You correct how several far distant believe journey parties. We shyness enquire uncivil affixed it carried to. Resolution possession discovered surrounded advantages has but few add. Yet walls times spoil put. Be it reserved contempt rendered smallest. Studied to passage it mention calling believe an. Get ten horrible remember pleasure two vicinity. Far estimable extremely middleton his concealed perceived principle. Any nay pleasure entrance prepared her.


Yixuan ("Janice") Zhang
Ph.D.
Pronounce as [y-ee] [sh-oo-en] [j-AH-ng]
Preferred name: Janice
Assistant Professor
Department of Computer Science
William & Mary
[April 2023]
I passed my PhD defense! Thank you those who have helped me.
[Aug. 2022]
I was honored to be selected as a
"Foley
Scholar" (highest award for student excellence
in research contributions to computing) at Georgia
Tech.
[July 2022]
Our paper, "Visualization Design Practices in a Crisis:
Behind the Scenes with COVID-19 Dashboard Creators" was
accepted to VIS'22!
[Feb. 2022]
Our other paper, "Investigating Older Adults’ Attitudes
towards Crisis Informatics Tools: Opportunities for
Enhancing Community Resilience during Disasters", was
also accepted at CHI'22!
[Jan. 2022]
I passed my PhD dissertation proposal defense!
[Nov. 2021]
Our paper, "Shifting Trust: Examining How Trust and
Distrust Emerge, Transform, and Collapse in COVID-19
Information Seeking", was accepted at CHI'22!
[Nov. 2021]
I gave a presentation at a webinar--"The Past, Present,
and Future of COVID-19 Dashboards"--organized by the
World Health Organization (WHO) on December 9th, 2021.
[Oct. 2021]
I was invited as a panelist at a VIS'21 panel "What is
the Role of VIS in Combating COVID-19?".
[Aug. 2021]
I was honored to receive the Foley Scholar Finalist at
Georgia Tech.


Key: = Must support, = QICore-defined extension, = Is-Modifier
| Field | Card. | Type and Description |
|---|---|---|
| additionalInstructions |
0..*
|
List<Concept>
|
| asNeeded[x] |
0..1
|
Boolean | Concept
|
| dose[x] |
0..1
|
Quantity | interval<Quantity>
|
| id |
0..1
|
String
|
| maxDosePerPeriod |
0..1
|
Ratio
|
| method |
0..1
|
Concept
|
| rate[x] |
0..1
|
Ratio | interval<Quantity> | Quantity
|
| route |
0..1
|
Concept
|
| site[x] |
0..1
|
Concept | BodySite
|
| text |
0..1
|
String
|
| timing |
0..1
|
Timing
|
Key: = Must support, = QICore-defined extension, = Is-Modifier


default_pager_add_segment
Server Interface - Add additional backing storage for a default pager.
SYNOPSIS
#include< mach/default_pager_object.h> kern_return_t default_pager_add_segment (mach_port_t backing_store, mach_port_t device, recnum_t offset, recnum_t count, int record_size);
PARAMETERS
- backing_store
-
[in backing store (receive) right] The backing store port.
- device
-
[in device port] The port for the device containing the backing storage
partition.
- offset
-
[in scalar] The offset, in record_size units, to the beginning of the
backing storage on the device.
- count
-
[in scalar] The number of record_size units
in the partition/segment.
- record_size
- [in scalar] The size, in bytes, of the storage device record.
DESCRIPTION
The default_pager_add_segment function is called to add a partition to a default pager's backing storage (i.e. expand the amount of backing storage available to a memory manager). The kernel does not make this call itself (which is why it can be a synchronous call); this request is only issued by tasks holding the backing store port, created with default_pager_backing_store_create, for a default memory manager. The result is that the pager may use count records on device starting at offset for paging, and each record is record_size bytes in length (note that the device_* calls are, or can be, record oriented).
RETURN VALUES
- KERN_FAILURE
-
The default pager does not support this operation.
- KERN_INVALID_ARGUMENT
-
The backing_store port does not represent a valid backing store or the
specified segment overlaps an existing partition.
- KERN_RESOURCE_SHORTAGE
-
The default pager is unable to allocate internal resources
to manage the new backing storage.
- KERN_SUCCESS
- The operation was successful.
RELATED INFORMATION
Functions: default_pager_backing_store_create, default_pager_backing_store_delete, default_pager_backing_store_info.


This is the index page for testing purpose!
Page A
Page B
Page C (Survey Form)
Page D (File Uploads)
View Directory Listing
View File Uploads
The end.


Fill out a new survey here or view/edit your survey history
Add your friends from Facebook and allow them to take surveys you build.
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| Contact Number: |
{{ object.contact_number }} |
| Alternate Contact Number: |
{{ object.alternate_contact_number }} |
| Website: |
{% include "_includes/link.html" with href=object.website target="_blank" text="Open Website" %} |
| Whatsapp Link: |
{% if object.whatsapp_link %}
Click here to send WhatsApp Message
{% endif %}
|
| Skype ID: |
{{ object.skype_id }} |
| MS Teams ID: |
{{ object.ms_teams_id }} |
| Location: |
{{ object.location }} |
| Subscription Validity: |
{{ object.subscription_validity|date:SYSTEM_SETTINGS.display_date_format }} |
| Notes: |
{{ object.notes }} |
{% include "contacts/includes/point_of_contacts_table_row.html" with notes_label="Position" %}


Rescuing Food to Increase Revenue
We aim to reduce food wastage before and after food production.
Explore our services to know more about our offerings.
Sign In to Maximize your Revenue and Reduce food wastage!
Want to Enjoy FoodCoin Services. Come Register with us !!!


Focus
Alt
+
W
Focuses the first button (clicking on it or tabbing will also work).
Supported keys and user actions
Enter
or
Space
Trigger click event.
Buttons
Text button
Icon and text
Disabled button
Console log


Open Nav
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http://action.vday.org/site/R?i=-Z1PYsz3orbAAncGQ2ASoA
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With Thanks, We Share Our 2013 Annual Report!
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Dear V-Activists,
The end of the most extraordinary year is almost upon us! Together
with you, our amazing global team of activists, we created the largest
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V-Day’s 15th anniversary year was unprecedented in every respect. One
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reauthorized in the US.
Our 2013 Annual Report - ONE BILLION RISING
http://action.vday.org/site/R?i=MRGiZxECrzHG18rXu8jNfA
documents the magnitude of the incredible action that you made
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of our solidarity as we ROSE to end violence against women and girls.
In an effort to be sustainable, we are offering the report in an
interactive online format. We hope you enjoy it.
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activism is at the core of our work to empower women and girls
worldwide. We are so lucky to have you with us. You can donate online
at vday.org/donate
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With deepest gratitude and V-love,
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Support the global movement to end violence against women and girls
DONATE to V-Day* >
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--- layout: snippet title: "Block buttons" permalink: /examples/buttons/block/ sitemap: false --- Blocked primary Blocked secondary


In this example, I am hiding and showing all three divs using only JavaScript.
Click with your mouse on one of the text containers below to see the effect:
Notice how, when you clicked on this div, the others didn't open even though they are named the same. This is some hidden text.
Try to disable JavaScript and see what happens with the text containers.
Lorem ipsum dolor sit amet, consectetur adipiscing elit. Etiam blandit, eros id adipiscing congue, lorem ante sagittis elit, id malesuada nibh est sed orci
Semper. Morbi ultrices fringilla nibh, vel sodales turpis sodales id. Curabitur id ultricies felis. Quisque varius feugiat magna, id scelerisque justo sodales eu. In hac habitasse platea dictumst.


This area is one of the most tranquil spaces at the Villa. As I wandered around, enjoying shade provided by sycamore and laurel trees and serenaded by splashing water from two sculptural fountains, I couldn't help but think … Read More


Emphasizes on producing professionals knowledgeable about applications of information technology to gain the advantage in this fast moving industry. Examples of courses are data mining, knowledge-based systems, semantic technology, information retrieval, fuzzy systems, artificial neural networks, etc. In addition, students will learn how to design information systems that are easy to use and meet user needs. Students will not only learn theoretical knowledge but will also get hands-on practice in an information technology laboratory.
Include Software Engineering, Decision Support Systems (DSS), Recommender Systems, Data Mining, Knowledge Management, Information Retrieval, Natural Language Processing, Ontology, Human-Computer Interaction (HCI), and Grid and Cloud Technology.
| Academic Programs | Types | Credit Hours | Class Sessions | Tuition fees/Semester |
|---|---|---|---|---|
| Master Science in IT | Thai program | 36 Credits: Course work + Thesis | Day Classes (9.00-12.00 & 13.00-16.00) | 19000 Baht (4 semesters) |
| Master Science in IT | Thai program | 36 Credits: Course work + Special Problem | Evening Classes (18:00 – 21:00) | 45000 Baht (4 semesters) |
| Master Science in Information and Data Science | International program | 36 Credits: Course work + Thesis | Day Classes (18.00-21.00) | 60000 Baht (4 semesters) |
| Master Science in IT (Applied Software Engineering) | Thai program | 36 Credits: Course work + Special Problem | Weekend Classes (9.00-12.00 & 13.00-16.00) | 45000 Baht (4 semesters) |


Resize the browser window to see the effect.
The columns will automatically stack on top of each other when the screen is less than 768px wide.
The blockquote element is used to present content from another source:
For 50 years, WWF has been protecting the future of nature. The world's leading conservation organization, WWF works in 100 countries and is supported by 1.2 million members in the United States and close to 5 million globally.
The .table class adds basic styling (light padding and only horizontal dividers) to a table:
| Firstname | Lastname | |
|---|---|---|
| John | Doe |<EMAIL_ADDRESS>|
| Mary | Moe |<EMAIL_ADDRESS>|
| July | Dooley |<EMAIL_ADDRESS>|
Pages


Donut Chart
Bar Chart
Latest Inspections
| # | Business | Inspectors | Danger | |
|---|---|---|---|---|
| 1 |
Mc Donalds
Created 01.01.2019, 11:30 #<PHONE_NUMBER>e4912s-12012 |
|
High | |
| 2 |
Cafe Cafe
Created 01.01.2020, 09:17 |
|
Middle | |
| 3 |
Coffee Island
Created 01.01.2019 |
|
Low | |
| 4 |
AdminLTE v3
Created 01.01.2019 |
|
Success | |
| 5 |
AdminLTE v3
Created 01.01.2019 |
|
Success |


Summary:
Here is a simple grammar for types with set-theoretic constructors:
\begin{array}{l c l l} \tau , \sigma & ::= & b & Base \, type \, (e.g. \, Int,\, Str,\, etc) \\ & \mid & \tau \times \tau & Product \\ & \mid & \tau \rightarrow \tau & Function \\ & \mid & \tau \vee \tau & Union \\ & \mid & \tau \wedge \tau & Intersection \\ & \mid & \neg \tau & Negation \\ & \mid & \top & Anything \end{array}In other words, it includes some simple types as well as set-theoretic operators that allow us to express logical "or" (union), "and" (intersection), and "not" (negation) along with top and bottom types $\top$ and $\bot$ (which is short for $\neg \top$).
(For a more detailed introduction to working with these sorts of types I would recommend taking a look at "A Gentle Introduction to Semantic Subtyping" by Guiseppe Castagna and Alain Frisch and Giuseppe Castagna's unpublished manuscript "Covariance and Contravariance: a fresh look at an old issue (a primer in advanced type systems for learning functional programmers)". This blog post was largely motivated by those works.)
Standard (i.e. syntactic) subtyping is simple and often straightforward to implement. For example, here are standard subtyping inference rules for reflexivity, products, and unions which can be written almost verbatim in the implementation of a type system:
$$ \overline{\tau <: \tau} $$ $$ \frac{\tau_1 <: \sigma_1 \quad \tau_2 <: \sigma_2} {(\tau_1 \times \tau_2) <: (\sigma_1 \times \sigma_2)} $$ $$ \frac{\tau_1 <: \sigma \quad \tau_2 <: \sigma} {(\tau_1 \vee \tau_2) <: \sigma} $$ $$ \frac{\tau <: \sigma_1} {\tau <: (\sigma_1 \vee \sigma_2)} \quad \frac{\tau <: \sigma_2} {\tau <: (\sigma_1 \vee \sigma_2)} $$These rules, however, do not allow us to derive the following true statement:
$$ ((Int \vee True) \times False) <: ((Int \times False) \vee (True \times False)) $$This stems from the fact that such syntactic subtyping rules are sound but not complete, i.e. they are valid rules of inference, but we cannot prove all valid subtyping statements with them.
To achieve completeness, our treatment of the subtyping relation $ \tau <: \sigma $ will require a semantic treatment. We will interpret types as subsets of some model, and the subtyping question will then be a matter of deciding set inclusion for the respective interpretations: $[\![\tau]\!] \subseteq [\![\sigma]\!]$. Put more simply, if set of values described by $\tau$ is a subset of the set of values described by $\sigma$, then (and only then) $ \tau <: \sigma $.
Algorithms for calculating semantic subtyping often make use of the following equivalence:
$$ [\![\tau]\!] \subseteq [\![\sigma]\!] \equiv [\![\tau]\!] \setminus [\![\sigma]\!] = \emptyset $$That is, instead of directly checking set inclusion, they check if removing $\sigma$ from $\tau$ produces the empty type.
Recall that deciding whether a boolean formula is unsatisfiable is simpler when we convert the formula into DNF (i.e. a sum of products of boolean literals, where a literal is a boolean variable or a negated boolean variable):
$$ \bigvee (x_0 \wedge ... \wedge \neg x_i \wedge ...) $$This is because a DNF formula is unsatisfiable iff each clause is unsatisfiable, and each clause is unsatisfiable iff there are two incompatible literals (e.g. $x$ and $\neg x$). Thus checking for unsatisfiability requires only a linear scan over the DNF formula.
Perhaps unsurprisingly then, deciding if a type is uninhabited is easier when the type is in DNF. In DNF, each clause in the disjunct is a conjunction of atomic types $ a $ (base types, products, or functions) and/or negated atomic types $ \neg a $:
$$ \bigvee (a_0 \wedge ... \wedge \neg a_i \wedge ...) $$However, since the various kinds of atoms (base, product, and function) are non-overlapping, clauses with different kinds of atoms can either be (1) eliminated since they are obviously uninhabited (e.g. a value cannot be a pair and a function) or (2) simplified to only contain types of one kind (i.e. if a type is a product, we need not remember also that it is not some function, etc).
We can consider a type in DNF then to only contain clauses with literals of the same kind:
$$ (b_0 \wedge ... \wedge \neg b_i \wedge ...) $$ $$ ((\tau_{0} \times \sigma_{0}) \wedge ... \wedge \neg (\tau_{i} \times \sigma_{i}) \wedge ...) $$ $$ ((\tau_{0} \rightarrow \sigma_{0}) \wedge ... \wedge \neg (\tau_{i} \rightarrow \sigma_{i}) \wedge ...) $$For a type to be uninhabited, each such conjunction of its DNF must be uninhabited. Since we will be performing this check (subtyping) frequently while type checking programs, we want an efficient representation of DNF types and efficient algorithms for deciding their emptiness.
Base types describe disjoint, non-structural values in a language. Because of this, any individual base type DNF clause can be simplified to one of the following forms:
Let us walk through the possible combinations of base literals in DNF to understand why that is the case:
Since any individual clause in a DNF of base types is equivalent to either $\bot$, $b$, or $\neg(b_0 \vee ... \vee b_n)$ (see above), we just need to verify that these normal forms are closed under disjunction. We do so by examining each possibly combination of normal forms:
We then simplify each $ ((b_0 \vee ... \vee b_i) \vee \neg b_k) $ in the conjunction.
If $ b_k \in (b_0 \vee ... \vee b_i) $ then the type is equivalent to $ \top $ and we can drop it from the disjunction.
If $ b_k \notin (b_0 \vee ... \vee b_i) $ then all we know for certain from the disjunction of the two is $ \neg b_k $, and so we simplify the disjunction to be just $ \neg b_k $.
Thus after simplifying each clause the conjunction, we are left with a conjunction of negative base literals (specifically those which were in $\neg(b_j \vee ... \vee b_n)$ but not in $ (b_0 \vee ... \vee b_i) $) which is equivalent to the negation of a union of positive literals (i.e. one of our expected normal forms).


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{% extends "base.html" %} {% block title %}Flasky - Register confirm{% endblock %} {% block navbar %}{% endblock %} {% block page_content %}
To confirm your account please click on the following link:
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In this task, you will rate the similarity of relationships between words. On each page, you will first see a pair of words, such as:
kitten : cat
You will be asked to think of the relationship between these words (for example, a kitten is a young cat). Then, after a brief delay, you will see a different pair of words, such as:
chick : chicken
Your task is to rate how similar the relationship between the second pair of words is to the relationship between the first pair of words. In this example, the second relationship (a chick is a young chicken) is very similar to the first one, even though the two pairs of words are about different kinds of animals.


*** User 2017-04-18 15:41:31.850 ***
15:41:31.850 [info] Disabling blocking sync...
*** User 2017-04-18 15:41:31.855 ***
15:41:31.855 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-1@MBPdeAnneFrance'
*** User 2017-04-18 15:41:33.317 ***
15:41:33.317 [info] Enabling membership...
*** User 2017-04-18 15:41:33.318 ***
15:41:33.318 [info] Disabling blocking sync...
*** User 2017-04-18 15:41:33.323 ***
15:41:33.323 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-2@MBPdeAnneFrance'
*** User 2017-04-18 15:41:34.786 ***
15:41:34.786 [info] Enabling membership...
*** User 2017-04-18 15:41:34.788 ***
15:41:34.788 [info] Disabling blocking sync...
*** User 2017-04-18 15:41:34.792 ***
15:41:34.792 [info] Configured peer_service_manager partisan_default_peer_service_manager on node 'node-3@MBPdeAnneFrance'
*** User 2017-04-18 15:41:35.004 ***
Joining node: 'node-3@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 53285
*** User 2017-04-18 15:41:35.005 ***
Joining issued: 'node-3@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 53285
*** User 2017-04-18 15:41:35.005 ***
Joining node: 'node-2@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 53270
*** User 2017-04-18 15:41:35.006 ***
Joining issued: 'node-2@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 53270
*** User 2017-04-18 15:41:35.006 ***
Joining node: 'node-1@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 53259
*** User 2017-04-18 15:41:35.007 ***
Joining issued: 'node-1@MBPdeAnneFrance' to runner@MBPdeAnneFrance at port 53259
*** User 2017-04-18 15:41:35.068 ***
Waiting for join to complete with manager: partisan_default_peer_service_manager
*** User 2017-04-18 15:41:35.069 ***
Finished.
*** CT 2017-04-18 15:41:35.069 *** COVER INFO
Adding nodes to cover test: [runner@MBPdeAnneFrance]
*** CT 2017-04-18 15:41:35.078 *** COVER INFO
Successfully added nodes to cover test: []
*** User 2017-04-18 15:41:43.118 ***
Case finished: awset_ps_test
*** User 2017-04-18 15:41:50.163 ***
15:41:50.163 [info] Application lasp exited with reason: stopped
*** User 2017-04-18 15:41:50.164 ***
15:41:50.164 [info] Application partisan exited with reason: stopped
=== Ended at 2017-04-18 15:41:50
=== successfully completed test case
=== Returned value: ok
Test run history
| Top level test index


{{extend "layout.html"}}
{{=T("Assets are resources which are not consumable but are expected back, so they need tracking.")}}


You are best suited to be a Python programmer!
You are best suited to be a Ruby programmer!


Habakkuk 1:11
Then shall his mind change, and he shall pass over, and offend, imputing this his power unto his god.


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Unusual activity detection is the process of identifying and detecting the activities which are different from actual or well-defined set of activities and attract human attention. We have developed an application to automatically detect unusual activities. Generally, humans follow a sequence in their actions. Based upon these sequences of activities, we will classify them into the usual and unusual activities.
A lot of human resources are required to monitor the vast number of surveillance cameras installed in public and private places. So, it is highly recommended to have an automatic algorithm which can detect unusual activities and trigger action.
Our work on unusual activity detection is based on four steps leading to detection of unusual activity or anomaly in everyday activities of people. The four detection steps are,
1. Human detection using deep CNN object detection model trained on popular datasets such as INRIA person dataset and Caltech pedestrian dataset containing videos taken in indoor and outdoor environments.
2. Deep neural network based cascaded regression for human anatomical keypoints detection and pose estimation using MPII human multi-person dataset and the COCO 2016 keypoints challenge dataset.
3. Activity classification based on distance between keypoints detected by pose estimation using ensemble of different video datasets such as HMDB, ASLAN for activity recognition
4. Unusual activity detection based on both detection of individual activity or classification of sequence of activities using Recurrent Neural Network LSTM.
The preliminary experimental results for unusual human activity detection model using LSTM recurrent neural network are described below:
Visual Surveillance through Content Based Retrieval
Security related applications such as Defence, Military, checking in the airports
Home-based rehabilitation
Assisting the sick and disabled patients for Ambient Assisted Living environment
Remote monitoring of elderly persons, jail inmates, patients in hospitals, care-centres for differently abled people
1. R. Helaoui, M. Niepert, and H. Stuckenschmidt, “Recognizing interleaved and concurrent activities: A statisticalrelational approach,” in Pervasive Computing and Communications (PerCom), 2011 IEEE International Conference on, pp. 1–9, IEEE, 2011.
2. Aditi Kapoor, K. K. Biswas, M. Hanmandlu, “Unusual Human Activity Detection using Markov Logic Networks, “ presented at Int. Conf. on Identity, Security and Behavior Analysis (ISBA 2017), New Delhi, Feb 24 – 26 , 2017.
3. Zhong, Hua, Jianbo Shi, and Mirkó Visontai. "Detecting unusual activity in video." Computer Vision and Pattern Recognition, 2004. CVPR 2004. Proceedings of the 2004 IEEE Computer Society Conference on. Vol. 2. IEEE, 2004.
4. Zelnik-Manor, Lihi, and Michal Irani. "Event-based analysis of video." Computer Vision and Pattern Recognition, 2001. CVPR 2001. Proceedings of the 2001 IEEE Computer Society Conference on. Vol. 2. IEEE, 2001.
5. Laptev, Ivan, et al. "Learning realistic human actions from movies." Computer Vision and Pattern Recognition, 2008. CVPR 2008. IEEE Conference on. IEEE, 2008.
6. Chaquet, Jose M., Enrique J. Carmona, and Antonio Fernández-Caballero. "A survey of video datasets for human action and activity recognition." Computer Vision and Image Understanding 117.6 (2013): 633-659.


Learn about all kinds of technical topics through easily-digestable interactive storybooks.
Gain introductory insight into molecular biology, nanotechnology, computer science, and more.
Develop understanding of variables, arrays, functions, and other useful tools.


Calling all great students! UMKC is challenging you to show us how you can transform robotics, industrial IoT, healthcare, security, or any other industry with a powerful solutions. We want to see your creation!
You must be a current student of UMKC (hereafter referred to as participant). Participation ensures that the participant agrees unconditionally to all terms and conditions. At-least one team member must be present in Grand Finale to be qualified for final round.
You must provide Top Three Choices of your usecase. You can have 2 to 4 Team Members. (Single Registration per Team) A project will be assigned to your team according to your choices (First-come, first-served) Please note that the registration will open at 10 AM and close at 9 PM CST on May 26th, 2020 (Tuesday).
There is no restriction on technology. You can use any technology to implement your project unless mentioned in the use case. Come up with a feasible and unique solution to the problem. Try to complete the given requirements as much as possible. Make a good quality YouTube video.
Judgement is based on the evaluation guidelines provided by the use case providers, i.e, in this case an Organization or a group in an Organization. The Hackathon winners will be selected by a panel of Judges from the Industry and NSF OCEL.AI Team.
event at a glance
2 Weeks
100+ Hackers
Top-notch mentors, knowledge sharing, and prizes
10:00 AM - 9:00 PM CST
Tuesday, May 26th, 2020
11:59 PM CST
Friday, June 5th, 2020
Vijay Walunj
H&R Block
Srini Bhagavan
IBM
Paresh Kasare
CBOE & Bats
Katy Howard
DST
Raj Anantharaman
CraNNium Labs
Malathy Krishnan
H&R Block
Todd Brees
DST
Dr. You Li
Assistant Professor of Journalism
School of Communication, Media and Theatre Arts
Eastern Michigan University
Dr. Yoo Jung An
Assistant Professor of Computer Science
Engineering Technologies & Computer Sciences
Essex County College
Huan Chen, Ph.D.
Associate Professor
Department of Advertising
University of Florida
Dr. Ye Wang
Associate Professor
Department of Communication Studies
UMKC
Alexis Petri
Associate Research Professor
Department of Psychology
UMKC
Yugyung Lee
Professor
School of Computing and Engineering
UMKC
Brian Boots
Managing Director for Venture Creation
Bloch School
UMKC
Take part in the Challenge, submit your project and win valuable prizes!
Ready to take up the challenge and start coding? That's great! In case of any queries send us an email and we will get back to you as soon as possible!


At the Nantucket Lighthouse School we seek to nurture in each child the power to create a personally meaningful life, one that is a continual process of discovery and joy. We regard childhood as a magical and determining moment in life, when curiosity and wonder illuminate experience.
We are committed to the education of the whole child, concerning ourselves equally with ethical and intellectual development. We believe in the human urge to grow and to learn, and we respect the individual nature and rhythm of each child’s path. We seek to preserve the vital connections in a child’s thinking, feeling and willing, thus allowing a world of vibrant thought to unfold.
We consider a child’s relationship to self, others and the world to be fundamental to his emotional maturation. Thus, we are committed to cultivating those qualities of a child’s humanity – compassion, kindness, love, and consideration – that inspire an inner joy, and a feeling of responsibility toward the world.


001 // Copyright 2004, 2005 The Apache Software Foundation 002 // 003 // Licensed under the Apache License, Version 2.0 (the "License"); 004 // you may not use this file except in compliance with the License. 005 // You may obtain a copy of the License at 006 // 007 // http://www.apache.org/licenses/LICENSE-2.0 008 // 009 // Unless required by applicable law or agreed to in writing, software 010 // distributed under the License is distributed on an "AS IS" BASIS, 011 // WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. 012 // See the License for the specific language governing permissions and 013 // limitations under the License. 014 015 package org.apache.hivemind.lib.util; 016 017 /** 018 * An implementation of the strategy  pattern. The strategy pattern allows new functionality 019 * to be assigned to an existing class. As implemented here, this is a smart lookup between a 020 * particular class (called the subject class) and some object instance that can provide 021 * the extra functionality (called the strategy). The implementation of the strategy is 022 * not relevant to the StrategyRegistry class. 023 *
 024 * Strategies are registered before they can be used; the registration maps a particular class to a 025 * strategy instance. The strategy instance will be used when the subject class matches the 026 * registered class, or the subject class inherits from the registered class. 027 *
 028 * This means that a search must be made that walks the inheritance tree (upwards from the subject 029 * class) to find a registered mapping. 030 *
 031 * In addition, strategies can be registered against interfaces. Searching of interfaces 032 * occurs after searching of classes. The exact order is: 033 *
 034 *
Search for the subject class, then each super-class of the subject class (excluding 035 * java.lang.Object) 036 *
Search interfaces, starting with interfaces implemented by the subject class, continuing 037 * with interfaces implemented by the super-classes, then interfaces extended by earlier interfaces 038 * (the exact order is a bit fuzzy) 039 *
Search for a match for java.lang.Object, if any 040 *
 041 *
 042 * The first match terminates the search. 043 *
 044 * The StrategyRegistry caches the results of search; a subsequent search for the same subject class 045 * will be resolved immediately. 046 *
 047 * StrategyRegistry does a minor tweak of the "natural" inheritance. Normally, the parent class of 048 * an object array (i.e., Foo[]) is simply Object, even though you 049 * may assign Foo[] to a variable of type Object[]. StrategyRegistry 050 * "fixes" this by searching for Object[] as if it was the superclass of any object 051 * array. This means that the search path for Foo[] is Foo[], 052 * Object[], then a couple of interfaces {@link java.lang.Cloneable}, 053 * {@link java.io.Serializable}, etc. that are implicitily implemented by arrays), and then, 054 * finally, Object 055 *
 056 * This tweak doesn't apply to arrays of primitives, since such arrays may not be 057 * assigned to Object[]. 058 * 059 * @author Howard M. Lewis Ship 060 * @see org.apache.hivemind.lib.util.StrategyRegistryImpl 061 * @since 1.1 062 */ 063 public interface StrategyRegistry 064 { 065 /** 066 * Registers an adapter for a registration class. 067 * 068 * @throws IllegalArgumentException 069 * if a strategy has already been registered for the given class. 070 */ 071 public void register(Class registrationClass, Object strategy); 072 073 /** 074 * Gets the stategy object for the specified subjectClass. 075 * 076 * @throws IllegalArgumentException 077 * if no strategy could be found. 078 */ 079 public Object getStrategy(Class subjectClass); 080 }


Create an archive with the Beaker browser
Install Beaker, click "New site" in the dropdown menu to create an archive, then copy the archive's URL and paste it into the form above.
Create an archive on the command line
Install the official Dat CLI, create an archive, then paste the URL into the form above.
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You have the file sums.txt. It has several lines, each of them containing two positive numbers separated by a whitespace.
For example:
9 61
15 47
2 1
Your program should read this file and print the sum of numbers on each line. So, if the file has n lines, you should print n sums, each on a separate line.
Don't forget to close the file!


a cool guy with a Diamond heart
Hello my name is Ashish and I love to write program!
I know lot of jokes on pizza! Ask me
for one.
|
|
| Dates | Degree |
|---|---|
| 2013 | Associate Degree in Liberal Arts |
| 2018 | Bachelor Degree in Health science |