0mm
main:-header,inc(X),show_counter(X). header:- write('220 ok'),nl, write('content-type: text/html'),nl,nl. show_counter(X):-write(counter(X)),write('.'),nl. inc(X):- F='cstate.pro', ( see_or_fail(F)-> see(F),read(counter(X)),seen ; X=0 ),X1 is X+1, tell(F),show_counter(X1),told.To install a similar CGI script at your site, put the bp executable in directory cgi-bin, together with the program and call it from a HTML page as follows:
<TITLE> BinProlog CGI counter </TITLE>   Try a BinProlog based  CGI Web-counter! ^^^^^^^^^^^^  ABSOLUTE PATH!  You can try it out by following the demo link at:
http://www.binnetcorp.com/BinPrologLook for LogiMOO [19,1], a more advanced BinProlog based Internet application, now also running directly under Netscape, at:
http://clement.info.umoncton.ca/~tarau/logimoo
CGI script for querying BinProlog over the net % Copyright (C) BinNet Corp. 1998 :-['../library/cgi_lib']. :-['../library/http_tools']. main:-run_cgi(5,body). % POST method body body:- (get_cgi_input(Alist)->true;test,fail), Alist= [ login=Ls, passwd=Ps, email=Ms, home=Hs, query=Qs, editor=Es ] -> ( run_it(Ls,Ps,Ms,Hs,Qs,Es)->true ; write('Error in query: '),write_chars(Qs),nl ) ; ( write('Non matching fields in form'), fail ; nl ).
  <title>BinProlog CGI form script</title>   <form method="post" target="answer" action="/bp_inet/bin/bp.exe?$/bp_inet/cgi/smarket.pro"> Simulation time in seconds: <input name="time" type="text" size="2" value="3"> Variation: <input name="variation" type="text" size="4" value="0.09"> Direction: <input name="direction" size="4" type="text" value="0.001">
 Feel free to add your comments related to this program and BinProlog.
 <textarea align="top" name="comment" rows=3 cols=60> </textarea> <input align="bottom" type="submit" value="Submit"> </form>
AtomicURL='http://www.binnecorp.com/test.txt'pointing to the a file containing the lines:
This is a test.will work as follow:
?-http2line('http://www.binnecorp.com/test.txt',Line). .... .... % some header lines .... Line=[84,104,105,115]; Line=[105,115]; Line=[97,32,116,101,115,116,46]; noThis acts like if you used
?-File=[ "This","is","a test."],member(Line,File).Use name/2 to convert each list of characters returned by Line to an atom. Type help(read), help(write), help(chars) for hints on various operations you can perform on each line.
Try: ?-http2link('http://www.binnetcorp.com',Link).
Try: ?-http2char('http://www.binnetcorp.com/test.txt',C),put_code(C),fail;nl.
spider(K,AtomicRoot,Link,Path): % Walks through links up to depth K % starting from AtomicRoot of the form 'http://...' % Returns each Link and Path (a list of canonical links) used to get there.Keyword search scripts are programmed by extracting list of words, found on each line of the HTML or text file to which the link refers, with http2words(Link,Ws). Good/bad link classification scripts are programmed using is_good_link(AtomicURL,YesNoMaybe) which returns yes/no/maybe depending on valid syntax and actual responsiveness of the URL to which the link points on the Internet. To scripts limited to links local to the Web site given as RootURL are programmed by overriding internal components of the kernel spider using intuitionistic implication (assumptions), as in:
/* % Internal Spider: moves only inside the domain of TopURL */ internal_spider(Depth,TopURL,HarvestedLink):- url_filter(internal_only)=>>spider(Depth,TopURL,HarvestedLink).A number of script examples are given in file http_spider_script.pl. The features described can be combined independently, and it is also possible to start the spider with a meta-search root, for instance, a Lycos or Yahoo query, which is further explored as if it were an ordinary html file. Various tests for the spider as well as of its component are available in file bp_inet/test/http_test.pl
bp http_queryAssuming that the BinProlog Internet tools have been uncompressed in something like c:\bp_inet, just open with Netscape the following link:
http://localhost:8080/bp_inet/cgi/http_query.htmlClick on the submit button to see the server interacting with the Netscape client, both for fetching a file and running a CGI script-like server side include - (SSI) program (based on code in ssi_lib.pl and http_query.pl). This demo form can be easily adapted to remotely administer the server, with appropriate password protected queries. To launch the server only, on default port 8080, without the SSI facilities, type in a command window:
bp http_serverthen, type at the prompt:
?- http_server.To create distributable bytecode application type:
bp ?-fcompile(http_query).Then, run the bytcode application with
bp http_query.wamNote that on platforms where multi-threading is available, the server spawns new threads for each client. The script http_query.pl gives an example of a truly multi-user Prolog process: users entering different logins in the Web form will be assigned different clause databases as well. Threads/engines spawned to support user requests are recycled after each execution.
?-run_server. % in the first window ?-out(hello(your_name)). % in the second window ?-all(X,Xs). % in the third windowYou will see that they are connected! The following sections will show how this kind of communication is achieved between your computer and, if you are `wired', other computers over the net.
Window 1: a mobile thread ?-there,move,println(on_server),member(X,[1,2,3]), return,println(back). back X=1; no. Window 2: a server ?-trust. on_serverIn case return is absent, computation proceeds to the end of the transported continuation. Note that mobile computation is more expressive and more efficient than remote predicate calls as such. Basically, it moves once, and executes on the server all future computations of the current AND branch until a return instruction is hit, when it takes the remaining continuation and comes back. This can be seen by comparing real time execution speed for:
?-there,for(I,1,1000),run(println(I)),fail. ?-there,move,for(I,1,1000),println(I),fail.While the first query uses run/1 each time to send a remote task to the server, the second moves once the full computation to the server where it executes without further requiring network communications. Note that the move/0, return/0 pair cut nondeterminism for the transported segment of the current continuation. This avoids having to transport state of the choice-point stack as well as implementation complexity of multiple answer returns and tedious distributed backtracking synchronization. Surprisingly, this is not a strong limitation, as the programmer can simply use something like:
?-there,move,findall(X,for(I,1,1000),Xs),return,member(X,Xs).to emulate (finite!) nondeterministic remote execution, by collecting all solutions at the remote side and exploring them through (much more efficient) local backtracking after returning.
bg(Goal) and synchronize(Statement)are all you need to get started. Take a look at the StockMarket Web-based demo at
http://www.binnetcorp.comfor a more interesting example using multiple threads.
?-host('your.full.internet.address')=>run_server.In the second window type:
?-chat. TARGET SERVERS ALIVE ON THE NET: .............................. .............................. ^D on Unix or ^Z on PCs to end > > TYPE IN YOUR MESSAGES HERE!!! >Whatever you type in the second window (as well as whatever comes form other users over the net) can be seen in the first one. Starting run_server is a fairly secure operation, the (restricted) server will only accept messages to be displayed and Linda operations. You can personalize your character (the login name appears on the screen of other users preceding what you say) with:
?-login(joe)=>password(evrika)=>chat.If you cannot connect to a master server or you want to keep the chat local to your computer you can start a server with
?-run_server.one servant for each user with:
?-run_servant.To participate to the local chat do something like:
?-login(joe)=>talk.This will show what you say with prompt joe on the server and all its `satellite' servants.
?-run_unrestricted_server.BinProlog's convention is that if the name returned by default_host/1 is different from localhost it assumes you want to get connected and interoperate through customized servers with other computers using BinProlog. To override this default setting you can use either set_host('my.full.internet.address') or temporarily override your default host by assuming it as a host/1 fact with BinProlog's intuitionistic assumption. Such assumptions are scoped and forgotten on backtracking, With
?-server_host('my.full.internet.address')=>run_server.By default such servers are registered on a master server at BinProlog's home, see default_master_server/1 for its host/port information. You can try out your server in a client window with
?-remote_run((write(hello),nl)).Note that registered servers are in principle accessible to other users and therefore not fully secure, unless you use one of the following two methods to implement security.
chat_server_interactor(mes(From,Cs),Answer):-show_mes(From,Cs,Answer). chat_server_interactor(ping(T),R):-term_server_interactor(ping(T),R). chat_server_interactor(run(_),no). chat_server_interactor(run(_,_),no). chat_server:- server_interactor(chat_server_interactor)=>> run_server.Basically, by overriding the default server_interactor with our chat_server_interactor we tell to chat_server that only commands matching known, secure operations has to be performed on behalf of remote users. This might look very simple but some of BinProlog's key features (intuitionistic implication and higher-order call/N) are used inside the `generic' server code (see file extra.pl) to achieve this form of `configurability'. Here is some interactor code (which might change in the future) for two other `secure' servers. The first one (BinProlog's default) is a Linda+chat server (to be started with run_server/0). It offers an good combination of security and convenience: only allows modifying its dynamic database remotely through Linda operations and displaying messages. It can be shut down remotely (with password) and checked if alive and although it can be subject to resource attacks by malicious users it can do no harm to your files system or give away information about your computer.
term_server_interactor(cin(X),R):-serve_cin(X,R). term_server_interactor(out(X),R):-serve_out(X,R). term_server_interactor(cout(X),R):-serve_cout(X,R). term_server_interactor(rd(X),R):-serve_rd(X,R). term_server_interactor(all(X),Xs):-serve_facts(X,X,Xs). term_server_interactor(all(X,G),Xs):-serve_facts(X,G,Xs). term_server_interactor(id(R),R):-this_id(R). term_server_interactor(ping(T),T):-ctime(T). term_server_interactor(stop(W),yes):-assumel(server_done(W)). term_server_interactor(halt(X),R):-serve_halt(X,R). term_server_interactor(add_servant(X),R):-serve_add_servant(X,R). term_server_interactor(mes(From,Cs),Answer):- show_mes(From,Cs,Answer), forward_to_servants(mes(From,Cs)). term_server_interactor(proxy(H,P,Q),R):- ask_a_server(H,P,Q,A)->R=A;R=no. term_server_interactor(in(X),R):-serve_cin(X,R). % $$thish should block!!!Note that this interactor even supports proxy forwarding to a give host/port as well as forwarding to passive pseudo-servers (called `servants', which work by watching for given patterns on real servers and reacting back) and in particular to the Java applets in related package LindaInteractor.tar.gz. Note that the secure execution of forwarded queries are the responsibility of the proxy target.
?- master_server('my.secure.local.computer',7788)=>run_master_server.Use a fact
master_server('my.secure.local.computer',7788).Type in or have your code execute:
set_master_server('my.secure.local.computer',7788)in both your client and server programs intended to be managed by your own master server. A useful application to this is to build a local chat line not seen by users from the outside. Progressively, commercial quality security will be built in BinProlog, especially if nonsensical export restrictions in US and Canada will be removed on strong cryptography. To keep the workload of the master server minimal, only when an error is detected by a client, the master_server is asked to refresh its information and possibly remove dead servers from its database.
fget(RemoteFile,LocalFile):- remote_run(RF,fopen(RemoteFile,'rb',RF)), fopen(LocalFile,'wb',LF), term_chars(to_sock(RF),Cmd), new_client(Socket), sock_write(Socket,Cmd), socket(Socket)=>from_sock(LF,_), fclose(LF), sock_read(Socket,_), close_socket(Socket), remote_run(fclose(RF)). from_sock(F,yes):- assumed(socket(S)), sock2file(S,F),!.Once the basic Linda protocol is in place and Prolog terms are sent through sockets, a command filtering server loop simply listens and executes the set of `allowed' commands. Despite Prolog's lack of object oriented features we have implemented code reuse with intuitionistic assumptions. For instance, to iterate over the set of servers forming the receiving end of our `Web of MOOs', after retrieving the list form a `master servers' which constantly monitors them making sure that the list reflects login/logout information, we simply override host/1 and port/1 with intuitionistic implication:
ask_all_servers(ListOfServers,Question):- member(server_id(_,H,P),ListOfServers), host(H)=>port(P)=>ask_a_server(Question,_), fail. ask_all_servers(_,_).To specialize a generic server into either a master server or a secure `chat-only' server which merges messages from BinProlog users world-wide we simply override the filtering step in the generic server's main interpreter loop. Implementing agents `roaming over' a set of servers is a simple and efficient high-level operation. First, we get the list of servers from the master server. Then we iterate through the appropriate remote-call negotiation with each site. Our agent's behavior is limited through security and resource limitations of participating interpreters, each having their own command filtering policies. In particular, on a chat-only server our roaming agent can only display a message. If the local interpreter allows gathering user information than our agent can collect it. If the local interpreter allows question/answering our agent will actually interact with the human user through the local server window. Such mobile agents are seen as `connection brokers' between participating independent server/client sites. For instance if two sites are willing to have a private conversation or code exchange they can do so by simply using the server/port/password information our agent can help them to exchange. Note that full metaprogramming combined with source-level mobile-code have the potential of better security than byte-code level verification as it happens in Java, as meaningful analysis and verification of program properties is possible.
host(Other_machine)=>rload(File). host(Other_machine)=>code(File)=>TopGoal. host(Other_machine)=>fetch_remote_operators.allow fetching remote files/operator definitions rload/1, fetch_remote_operators/0 or on-demand fetching of a predicate at a time from host/code file during execution of TopGoal.
host(Other_machine)=>remote_run(RemoteGoal). host(Other_machine)=>remote_run(Answer,RemoteGoal).allow remote predicate calls without/with returned answer on the calling site.
host(Other_machine)=>rsh(ShellCommand,CharListAnswer). host(Other_machine)=>rsh(ShellCommand).allows using BinProlog to remotely execute shell commands on a remote machine and collect/print the answers at the calling site. In particular it allows what Microsoft never could/wanted to build in W95 or NT: remote shell commands. In particular, by starting a BinProlog server on a PC with W95/NT it is possible to do meaningful work on it remotely from another W95/NT PC or Unix box. Note that on machines not supporting pipes rsh is approximated with rexec which redirects execution to a file, gets it back and shows it to the user. Note also that
?-run_unrestricted_server.should be used on the remote computer to allow these commands.
run_servant:- default_server_interactor(Interactor), this_id(ID), out(servant_id(ID)), % registers this servant repeat, in(query(ServerId,Query)), % waits for a query (call(Interactor,Query,Reply)->Answer=Reply;Answer=no), % sends back an answer, if needed ( ServerId=[]->true % no reply sent to anonymous servers ; out(answer(ServerId,Answer)) ), functor(Query,stop,_), % stops when required !, in(servant_id(ID)).Note the presence of an overridable client-side interactor, allowing the generic servant code to be easily reused/specialized. Multiplexing is achieved by having each server's in/1 and out/1 data marked with unique servant_id/1 records. To integrate multiple Java applet based clients in our `Web of Worlds', we use a more complex forwarding server, also available as equivalent Java code, to be run as a BinProlog and/or Java daemon2 on the same machine as the HTTP server the applet comes from.
run_forwarding_server:- server_interactor(forwarding_server_interactor)=>> run_server. forwarding_server_interactor(mes(From,Cs),R):-!,R=yes, forward_to_servants(mes(From,Cs)). forwarding_server_interactor(Q,A):- term_server_interactor(Q,A). forward_to_servants(Query):- clause(servant_id(_),true), assert(query([],Query)), fail. forward_to_servants(_).Note that the forwarding server has the ability to interact with multiple servants, in particular with multiple Java applets. Starting with version 6.25 this forwarding ability is built in default BinProlog servers started with run_server. Try out the example applet in the corresponding version of the related Java package Jinn available from
http://www.cs.unt.edu/~tarau/netjinni/Jinni.html
?-host('cs.unt.edu')=>port(7001)=>run_servant.or your own server on the firewall, if you have an account on it.
http://www.cs.unt.edu/~tarauThe CGI script dynamcally generate a simple animated VRML 2.0 landscape with some randomly changing colors.
Prolog VRML ------------------------- @{ } ===> { } @[ ] ===> [ ] f(a,b,c) ==> f a b c a is b ==> a 'IS' b a=b ==> a b ------------------------key idea: let's allow writting unrestricted VRML code in Prolog!
proto anAppearance @[ exposedField('SFColor')=color(1,0,0), exposedField('MFString')=texture@[] ] @{ 'Appearance' @{ material='Material' @{ diffuseColor is color }, texture='ImageTexture' @{ url is texture } } }.
#VRML V2.0 utf8 PROTO anAppearance [ exposedField SFColor color 1 0 0 , exposedField MFString texture [] ] { Appearance { material Material { diffuseColor IS color } texture ImageTexture { url IS texture } } }
shape(Geometry):- % based on scoped assumptions (=>) default_color(Color), toVrml( aShape @{ geometry(Geometry@{}), Color } ). sphere:- shape('Sphere'). cone:- shape('Cone'). cylinder:- shape('Cylinder'). box:- shape('Box').
group @{ children @[ `transform( translation(0,10,4),scale(2,2,2),rotation(0,0,0,0), [`sphere, `cone] ), `transform( translation(5,0,0),scale(1,3,6),rotation(0,1,0,1.5), [`box] ) ] }.
toVrml(X):-number(X),!,#X. toVrml(X):-atomic(X),!,#X. toVrml(A@B):-!,#indent(=),toVrml(A),toVrml(B). toVrml(A=B):-!,toVrml(A),toVrml(B). toVrml(A is B):-!,#indent(=),toVrml(A),#'IS',toVrml(B). toVrml({X}):-!,#'{',#indent(+),toVrml(X),#indent(-),#'}'. toVrml(`X):-!,X. toVrml(X):-is_list(X),!, #'[',#indent(+),vrml_list(X),#indent(-),#']'. toVrml(X):-is_conj(X),!,vrml_conj(X). toVrml(T):-compound(T),#indent(=),vrml_compound(T).
Group { children [ Transform { translation 0 10 4 scale 2 2 2 rotation 0 0 0 0 children [ # aShape is a VRML 2.0 PROTO! aShape { geometry Sphere{} color 0.7 0.8 0.8 } , aShape { geometry Cone{} color 0.6 0.3 0.9 } ] } , ..... ] }
?- compile(asm,[file1,file2,...],'huge_file.asm').A convenient way to see interactively the sequence of program transformations BinProlog is based on is:
?- asm. a-->b,c,d. ^D DEFINITE: a(A,B) :- b(A,C), c(C,D), d(D,B). BINARY: a(A,B,C) :- b(A,D,c(D,E,d(E,B,C))). WAM-ASSEMBLER: clause_? a,3 firstarg_? _/0,6 put_structure d/3,var(4-4/11,1/2) write_variable put,var(5-5/10,1/2) write_value put,var(2-2/6,2/2) write_value put,var(3-3/7,2/2) put_structure c/3,var(3-8/14,1/2) write_variable put,var(2-9/13,1/2) write_value put,var(5-5/10,2/2) write_value put,var(4-4/11,2/2) execute_? b,3
--------------------------------------------------------------- Window 1: - wizard (see server.pl) mbp ?- [server]. ..... ?- go. yes ?- notfier started wizard says: Hello ?- list. place(lobby) . lobby contains wizard . yes ?- joe says: Hello ?- obmaster says: Hello ?- ------------------------------------------------------------------ Window 2: - joe: (see joe.pl) mbp ?- [joe]. ... ?- go. notfier started joe says: Hello ?- yes ?- obmaster says: Hello ?- list. place(lobby) . lobby contains wizard . lobby contains joe . lobby contains obmaster . ob(object,<:,object) . obs(object,:>,object) . ob(mammal,<:,object) . obs(object,:>,mammal) . ob(mammal,legs,4) . obs(mammal,>>,legs) . ob(dog,<:,mammal) . obs(mammal,:>,dog) . obs(dog,>>,legs) . ob(dog,legs,3) . yes ------------------------------------------------------------------ Window 3: - obmaster: (see obmaster.pl and included files) mbp ?- [obmaster]. ... ?- go. notfier started obmaster says: Hello :- object with true. :- mammal extends object with (legs := 4,true). :- dog extends mammal with (legs := 3,true). ?- bye.
ftp://clement.info.umoncton.ca/~tarauor following links from
http://www.cs.unt.edu/~tarauThe reader interested in more information on Internet Programming with BinProlog and its new Java based component is refered to the following papers: [7,6,12,13,18,8,14,16] and [15,3,17,4,20,1,2] Related BinProlog documentation is available at: [11,9,10,5]. Slides from an ILPS'97 tutorials on Internet Programming with BinProlog are available following links from:
http://www.cs.unt.edu/~tarau


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Clipper API API Reference
REST API for instrumenting with Clipper.
There are two frontend avaliable for query.
- In admin frontend, you can manage your applications and models.
- In query frontend, you can send query to depolyed models.
The admin address can be obtained from querying
ClipperConnection.cm.get_admin_addr()
.
The query address can be obtained from querying
ClipperConnection.cm.get_query_addr()
.
Request Content-Types: application/json
Response Content-Types: application/json
Version: 0.2.0
admin_addr
Admin Address
add_app
Register a new application with Clipper.
An application in Clipper corresponds to a named REST endpoint that can be used to request predictions. This command will attempt to create a new endpoint with the provided name. Application names must be unique. This command will fail if an application with the provided name already exists.
Request Example
{
"default_output": "[42.0]",
"input_type": "doubles",
"latency_slo_micros": 100000,
"name": "simple-app"
}
OK
Bad Request
add_model
Registers a new model version with Clipper.
This method does not launch any model containers, it only registers the model description (metadata such as name, version, and input type) with Clipper. A model must be registered with Clipper before it can be linked to an application.
You should rarely have to use this method directly. Using one the Clipper deployer methods in
clipper_admin.deployers
or calling
build_and_deploy_model
or
deploy_model
will automatically register your model with Clipper.
Request Example
{
"batch_size": 10,
"container_name": "clipper/example-container",
"input_type": "doubles",
"labels": [
"Team: DevOps"
],
"model_name": "sum-model",
"model_version": "1"
}
OK
Bad Request
add_model_links
Routes requests from the specified app to be evaluted by the specified model.
Note:
Both the specified model and application must be registered with Clipper, and they must have the same input type. If the application has previously been linked to a different model, this command will fail.
Request Example
{
"app_name": "sum-application",
"model_names": [
"basic-sum-1"
]
}
OK
Bad Request
get_all_applications
Gets information about all applications registered with Clipper.
If 'verbose' is set to False, the returned list contains the apps' names; if 'verbose' set to True, the list contains application info dictionaries. These dictionaries have the same attribute name-value pairs that were provided to
clipper_admin.ClipperConnection.register_application
.
Returns a list of information about all apps registered to Clipper. If no apps are registered with Clipper, an empty list is returned.
Request Example
{
"verbose": "true"
}
Success
Bad Request
Response Example (200 OK)
[
{
"default_output": "[42.0]",
"input_type": "doubles",
"latency_slo_micros": 100000,
"name": "simple-app"
}
]
get_all_containers
Gets information about all model containers registered with Clipper.
If 'verbose' is set to False, the returned list contains the apps' names. If 'verbose' is set to True, the list contains container info dictionaries.
Returns a list of information about all model containers known to Clipper. If no containers are registered with Clipper, an empty list is returned.
Request Example
{
"verbose": "true"
}
Success
Bad Request
Response Example (200 OK)
[
{
"input_type": "doubles",
"model_id": "simple-example:1",
"model_name": "simple-example",
"model_replica_id": 1,
"model_version": "1"
}
]
get_all_models
Gets information about all models registered with Clipper.
If 'verbose' is set to False, the returned list contains the models' names. If 'verbose' set to True, the list contains model info dictionaries.
Returns a list of information about all apps registered to Clipper. If no models are registered with Clipper, an empty list is returned.
Request Example
{
"verbose": "true"
}
Success
Bad Request
Response Example (200 OK)
[
{
"batch_size": 10,
"container_name": "clipper/example-container",
"input_type": "doubles",
"labels": [
"Team: DevOps"
],
"model_name": "sum-model",
"model_version": "1"
}
]
get_application
Gets detailed information about a registered application.
'name' parameter is the name of the application to look up.
Returns a dictionary with the specified application's info. This will contain the attribute name-value pairs that were provided to
clipper_admin.ClipperConnection.register_application
. If no application with name
name
is registered with Clipper, None is returned.
Request Example
{
"name": "simple-example"
}
Success
Bad Request
Response Example (200 OK)
{
"default_output": "[42.0]",
"input_type": "doubles",
"latency_slo_micros": 100000,
"name": "simple-app"
}
get_container
Gets detailed information about a registered container.
'name' is the name of the container to look up
'version' is the version of the container to look up
'replica_id' is the container replica to look up
Returns a dictionary with the specified container's info. If no corresponding container is registered with Clipper, None is returned.
Request Example
{
"input_type": "doubles",
"model_id": "simple-example:1",
"model_name": "simple-example",
"model_replica_id": 1,
"model_version": "1"
}
Success
Bad Request
Response Example (200 OK)
{
"input_type": "doubles",
"model_id": "simple-example:1",
"model_name": "simple-example",
"model_replica_id": 1,
"model_version": "1"
}
get_linked_models
Retrieves the models linked to the specified application.
'app_name' parameter is the name of the application
Returns a list of the names of models linked to the app. If no models are linked to the specified app, None is returned.
Request Example
{
"app_name": "simple-example"
}
Success
Bad Request
Response Example (200 OK)
[
"Model Name"
]
get_model
Gets detailed information about a registered model.
'model_name' is the name of the model to look up
'model_version' is the version of the model to look up
Returns a dictionary with the specified model's info. If no model with name
model_name@model_version
is registered with Clipper, None is returned.
Request Example
{
"model_name": "sum_model",
"model_version": "1"
}
Success
Bad Request
Response Example (200 OK)
{
"batch_size": 10,
"container_name": "clipper/example-container",
"input_type": "doubles",
"labels": [
"Team: DevOps"
],
"model_name": "sum-model",
"model_version": "1"
}
set_model_version
Changes the current model version to "model_version".
This method can be used to perform model roll-back and roll-forward. The version can be set to any previously deployed version of the model.
Note:
Model versions automatically get updated when
clipper_admin.ClipperConnection.deploy_model()
is called. There is no need to manually update the version after deploying a new model.
Request Example
{
"model_name": "sum_model",
"model_version": "1"
}
OK
Bad Request
query_addr
predict
Submit a new query to application. The application name needs to specified in the path; and data needs to be submitted via a POST JSON request.
Response will contains either the data returned by model or the default response. This can be distinguished by the default field. If the default field is True, there will be another field present called "default_explanation" whose value is a string describing the reason that a default response was returned. This field is not present if default is False.
The name of appplication to query.
Request Example
{
"input": [
2.3
]
}
Success
Bad Request
Response Example (200 OK)
{
"default": "true",
"default_explanation": "Failed to retrieve a prediction response within the specified latency SLO",
"output": 2.2,
"query_id": 42
}
Schema Definitions
Application: object
- default_output: string
-
The default output for the application. The default output will be returned whenever an application is unable to receive a response from a model within the specified query latency SLO (service level objective). The reason the default output was returned is always provided as part of the prediction response object.
- input_type: string integers , floats , doubles , bytes , strings
-
The type of the request data this endpoint can process. Input type can be one of "integers", "floats", "doubles", "bytes", or "strings".
- latency_slo_micros: integer
-
The query latency objective for the application in microseconds. This is the processing latency between Clipper receiving a request and sending a response. It does not account for network latencies before a request is received or after a response is sent. If Clipper cannot process a query within the latency objective, the default output is returned. Therefore, it is recommended that he SLO not be set aggressively low unless absolutely necessary. 100000 (100ms) is a good starting value, but the optimal latency objective will vary depending on the application.
- name: string
-
The unique name of the application.
Example
{
"default_output": "[42.0]",
"input_type": "doubles",
"latency_slo_micros": 100000,
"name": "simple-app"
}
Link: object
- app_name: string
-
The name of the application
- model_names: string[]
-
List of The name of the model to link to the application
Example
{
"app_name": "sum-application",
"model_names": [
"basic-sum-1"
]
}
Model: object
- batch_size: integer
-
The user-defined query batch size for the model. Replicas of the model will attempt to process at most
batch_size
queries simultaneously. They may process smaller batches ifbatch_size
queries are not immediately available. If the default value of -1 is used, Clipper will adaptively calculate the batch size for individual replicas of this model. - container_name: string
-
A docker image name. If provided, the image will be recorded as part of the model descrtipin in Clipper when registering the model but this method will make no attempt to launch any containers with this image.
- input_type: string integers , floats , doubles , bytes , strings
-
The type of the request data this endpoint can process. Input type can be one of "integers", "floats", "doubles", "bytes", or "strings". See the http://clipper.ai/tutorials/basic_concepts/#input-types for more details on picking the right input type for your application.
- labels: string[]
-
A list of strings annotating the model. These are ignored by Clipper and used purely for user annotations.
- model_name: string
-
The name of the deployed model. The model name must be valid DNS-1123 subdomains. Each must consist of lower case alphanumeric characters, ‘-‘ or ‘.’, and must start and end with an alphanumeric character (e.g. ‘example.com’, regex used for validation is
[a-z0-9]([-a-z0-9]*[a-z0-9])?Z
. - model_version: string
-
The version to assign this model. Versions must be unique on a per-model basis, but may be re-used across different models. The model version must be valid DNS-1123 subdomains. Each must consist of lower case alphanumeric characters, ‘-‘ or ‘.’, and must start and end with an alphanumeric character (e.g. ‘example.com’, regex used for validation is
[a-z0-9]([-a-z0-9]*[a-z0-9])?Z
.
Example
{
"batch_size": 10,
"container_name": "clipper/example-container",
"input_type": "doubles",
"labels": [
"Team: DevOps"
],
"model_name": "sum-model",
"model_version": "1"
}
Model Container: object
- input_type: string integers , floats , doubles , bytes , strings
-
The type of the request data this endpoint can process. Input type can be one of "integers", "floats", "doubles", "bytes", or "strings". See the http://clipper.ai/tutorials/basic_concepts/#input-types for more details on picking the right input type for your application.
- model_id: string
-
Automatically assigned model id
- model_name: string
-
The name of the deployed model. The model name must be valid DNS-1123 subdomains. Each must consist of lower case alphanumeric characters, ‘-‘ or ‘.’, and must start and end with an alphanumeric character (e.g. ‘example.com’, regex used for validation is
[a-z0-9]([-a-z0-9]*[a-z0-9])?Z
. - model_replica_id: integer
-
Automatically Assgined Replica ID
- model_version: string
-
The version to assign this model. Versions must be unique on a per-model basis, but may be re-used across different models. The model version must be valid DNS-1123 subdomains. Each must consist of lower case alphanumeric characters, ‘-‘ or ‘.’, and must start and end with an alphanumeric character (e.g. ‘example.com’, regex used for validation is
[a-z0-9]([-a-z0-9]*[a-z0-9])?Z
.
Example
{
"input_type": "doubles",
"model_id": "simple-example:1",
"model_name": "simple-example",
"model_replica_id": 1,
"model_version": "1"
}
Model Version: object
- model_name: string
-
The name of the model
- model_version: string
-
str | obj with str representation. The version of the model. Note that
version
must be a model version that has already been deployed.
Example
{
"model_name": "sum_model",
"model_version": "1"
}
Query Result: object
- default: boolean
-
Whether or not this result is default response. The reason for default is given in the default_explanation field.
- default_explanation: string
-
Explanation for returning the default response. This field is only present when default is true.
- output: object
-
The prediction output.
- query_id: integer
-
The query id by application
Example
{
"default": "true",
"default_explanation": "Failed to retrieve a prediction response within the specified latency SLO",
"output": 2.2,
"query_id": 42
}


Welcome to the FRC scouting web app! Click on "New Log" to record data on another team, and click "View Logs" to view data already collected.
Developed by FRC Team 4069.
Welcome to the FRC scouting web app! Click on "New Log" to record data on another team, and click "View Logs" to view data already collected.
Developed by FRC Team 4069.


Blog Site
Title
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Company profile - Canadian Company Capabilities
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
High Line Corporation
Mailing Address:
210-145 Renfrew Dr.MARKHAM, Ontario
L3R 9R6
Location Address:
210-145 Renfrew Dr.MARKHAM, Ontario
L3R 9R6
Tel.:<PHONE_NUMBER>
Tel.:<PHONE_NUMBER>
Fax:<PHONE_NUMBER>
Company Profile
High Line provides an integrated, comprehensive Human Resource, Payroll and Time Management & Attendance solution, including Self Service for Managers, Supervisors, Employees, and Recruiting/Applicant Tracking. With over 40 years experience, High Line is a proven solution provider, recognized by Gartner as a leader in supplying cost-effective, highly functional HRMS, services and support.
High Lines goal is satisfied customers and lifetime partnerships. How? By providing the functionally clients need in the standard system, as well as exceptional support, and by ensuring they stay on the leading edge of technology.
Web-based solutions take your employees from recruitment to retirement, handling the complex requirements of our private/public sector clients with 200 to over 35,000 employees. Why High Lines HRMS? A user-friendly interface, tailored (not customized), provides the flexibility to meet your goals, within the standard system.
Full range of services provided: implementations, product training and toll free/web-based support throughout North America.
Full profile
Full profile
Contact information
Company description
Product / Service / Licensing
application software designed to effectively manage all aspects
of Human Resources and payroll functions in a comprehensive,
intelligent manner. ePERSONALITY represents the culmination
of over two decades of evolution in Human Resources and Payroll
business solutions using web-enabled Oracle and Microsoft
technologies. High Line offers a full range of integrated support services including implementation assistance, product training and a toll-free Support Line throughout North America.
The present technology base is state of the art and enables
ePERSONALITY to step into the future taking full advantage
of emerging technological advancements. Leading Characteristics
include a User Interface based on accepted Windows standards,
Flexibility of key aspects without programming, Informative
offering powerful searches, Modular and fully integrated modules
can be purchased on a "plug and play" basis, Security based on
Oracle's user/role security capabilities, Auditability with
database imposed constraints.
The system's application modules include:
- Record Keeping
- Salary Administration
- Benefit Administration
- Attendance
- Labour Relations
- Time Entry/Scheduling
- Payroll
- Position Control
- Financial Cost Control/Forecasting
- Career Planning
- Recruiting
- Occupational Safety & Health
- Labour Relations
- Self Service
Database: Oracle
Operating Environments:
Server - Windows NT, HP9000 & RS6000 systems
Client - Windows 95, Windows 98 & Windows NT
Payroll linkage: Integrated payroll module available;
ePERSONALITY allows for interfacing with other payroll
systems and services.
Further information: Product overview and demo disk.
Target Markets: Private and public sector clients, medium to
large companies across North America.
Market profile
Geographic markets:
Export experience:
- Puerto Rico
- United States
Third-Party Information Liability Disclaimer
Some of the information on this Web page has been provided by external sources. The Government of Canada is not responsible for the accuracy, reliability or currency of the information supplied by external sources. Users wishing to rely upon this information should consult directly with the source of the information. Content provided by external sources is not subject to official languages, privacy and accessibility requirements.
Contacts
Contact information
Description
Company description
Products, services and licensing
Product / Service / Licensing
application software designed to effectively manage all aspects
of Human Resources and payroll functions in a comprehensive,
intelligent manner. ePERSONALITY represents the culmination
of over two decades of evolution in Human Resources and Payroll
business solutions using web-enabled Oracle and Microsoft
technologies. High Line offers a full range of integrated support services including implementation assistance, product training and a toll-free Support Line throughout North America.
The present technology base is state of the art and enables
ePERSONALITY to step into the future taking full advantage
of emerging technological advancements. Leading Characteristics
include a User Interface based on accepted Windows standards,
Flexibility of key aspects without programming, Informative
offering powerful searches, Modular and fully integrated modules
can be purchased on a "plug and play" basis, Security based on
Oracle's user/role security capabilities, Auditability with
database imposed constraints.
The system's application modules include:
- Record Keeping
- Salary Administration
- Benefit Administration
- Attendance
- Labour Relations
- Time Entry/Scheduling
- Payroll
- Position Control
- Financial Cost Control/Forecasting
- Career Planning
- Recruiting
- Occupational Safety & Health
- Labour Relations
- Self Service
Database: Oracle
Operating Environments:
Server - Windows NT, HP9000 & RS6000 systems
Client - Windows 95, Windows 98 & Windows NT
Payroll linkage: Integrated payroll module available;
ePERSONALITY allows for interfacing with other payroll
systems and services.
Further information: Product overview and demo disk.
Target Markets: Private and public sector clients, medium to
large companies across North America.
Market
Market profile
Geographic markets:
Export experience:
- Puerto Rico
- United States


input groups
@
@example.com
$
.00
Your vanity URL
https://example.com/users/
badge
Inbox
42
Messages
4
alert
alert-success
alert-info
alert-warning
alert-danger
panel
Panel title
Panel content
AAAAHelo world.


HOA DB v2.5
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{% import 'partials/section.html' as section %} {% extends "layouts/_onecol.html" %} {% block page_title %}File uploaded successfully - ONS Business Surveys{% endblock %} {% block main %}
{{ upload_filename }} has been uploaded.
This survey has now moved into your history.


|
This tests performs basic tests on restart attribute
Each row in the test shows different rectangles subject to <set> animations with different configurations with regards to the restart attribute. For each row, the animation should be active during the first 5 seconds of the animations where the red rectangle should show in the right column. At five seconds into the animation, all the rectangles should move to their left position.
On the first row, the <set> animation has a begin attribute set to '0s;1s' and a dur attribute set to 4s. This should result in a first interval of (0s <= t < 4s) which should be superceeded, at 1s, by a new interval of (1s <= t < 5s) because the default restart behavior is 'always'. Consequently, the rectangle should be in the right position during the (0s <= t < 5s) interval and move to the left position at 5s.
On the second row, the <set> animation has a begin attribute set to '0s;1s', a dur attribute set to 4s and a restart attribute set to always. The behavior should be the same as for the first row.
On the third row, the first (left most) rectangle's <set> animation has a begin attribute set to '0s;1s', a dur set to 5s and a restart attribute set to whenNotActive. Because of the rules for computing intervals, the animation's interval is (0s <= t < 5s) and is not superseded by a (1s <= t < 6s) interval because of the restart value. The second (right most) red rectangle's <set> animation has a begin attribute set to '0s;2.5s' and a dur attribute set to 2.5s. This results in a first interval (0s <= t < 2.5s) which is followed by a (2.5s <= t < 5s) interval. Consequently, the rectangle stays on its right position for the first five seconds before it definitively moves to the left position.
On the fourth row, the <set> animation has a begin attribute set to '0s;5s' and a dur attribute set to 5s. This results in a first interval of (0s <= t < 5s). Because the restart attribute is set to 'never', the following possible interval, (5s <= t < 10s) does not apply and the animation is only active for the first 5 seconds.
The fifth row shows a simple animated red rectangle which lasts for 5 seconds. It shows a reference of how the other animations should behave visually: all red rectangles should have the same horizontal position as the one on the reference row, at any time during the animation.


Outrage as Kyiv man spotted walking leopard on leash (Photo)
UAnimals NGO has appealed to locals to provide any information available on the individual who is keeping a predatory pet.
Near the Kyiv Botanical Garden, at the intersection of Nazarovska and Leo Tolstoi Streets, a man was spotted walking what seems to be a young leopard on a thick leash.
That's according to UAnimals, a Kyiv-based animal protection initiative.
"This species cannot and must not become a pet. Moreover, leopards are dangerous animals, and such 'walks' pose a threat to both the leopard and people," the report said.
Keeping wild animals as pets is banned in Ukraine.
The NGO has appealed to locals to provide any information available on the individual who is keeping a predatory pet.


Technocolabs is a Software Development Services Company that Provide Services in Application Development, Web Development, API Management, Cloud Application Development, Website Integration, Data Science, Data Mining, Search Engine Optimization (SEO), Product Development Services, Android Application Development Services, Python Software Development Services, Java Web application Services, Machine learning App Development, Deep learning Model Tunning, Serverside Optimization, Data Base Development Services, etc.


Objects in material design possess similar qualities to objects in the physical world. In the physical world, objects can be stacked or affixed to one another, but cannot pass through each other. Objects cast shadows and reflect light.
Material Design Shadows
Use the .z-depth-X
class within your elements to add material design shadow, where X
is the elevation index of shadow.
Without shadow
.z-depth-1
.z-depth-2
.z-depth-3
.z-depth-4
.z-depth-5
Without shadow
.z-depth-1
.z-depth-2
.z-depth-3
.z-depth-4
.z-depth-5


7 key questions heading into Wednesday’s Democratic debate
by Associated PressWASHINGTON (AP) — New uncertainty hangs over the Democratic presidential primary as 10 candidates meet on the debate stage once again.
No longer is there a clear front-runner, the fight for African American voters is raging and concerns are growing that impeachment may become a distraction from the primary.
Those issues and more will play out Wednesday night when the Democratic Party’s top 10 face off in Atlanta just 75 days before primary voting begins. The debate will be carried live by MSNBC.
Turbulent polling across the first states to vote in the presidential primary has created a murky picture of the top tier of Democratic candidates. A sign of whom the candidates themselves consider to be out in front may come during the debate. Usually the perceived leader takes the most heat.


--- layout: default --- <<<<<<< HEAD ======= >>>>>>> gh-pages
Think 2019 Hands-On Lab 6051Using Domino Query Language and Node.js — Domino Developers Edition! |
Domino Query Language (DQL) is a new feature in IBM Domino 10 that allows developers to use a simple shorthand syntax to find and update documents. The good news is that DQL is now available to node.js and LotusScript developers! This lab will teach you how to use DQL in both node.js and LotusScript to create, read, update and delete Domino documents. A basic knowledge of node.js and LotusScript concepts is necessary, but you don’t need to be an expert to take advantage of this functionality.
Click here to get started: Lab Workbook


Sleeve Baseball jersey with Black Full Length Sleeves. Price: $35.99 Size: Select Option Small Medium Large Xtra-Large Xtra-Xtra-Large
Womens Album Tee - Features the art from the long awaited release, The Whole Shebang, on a womens cut light blue cotton tee. Price: $22.99Size: Select Option Small Medium Large Xtra-Large
Logo Tee - white cotton tee. Price: $19.99Size: Select Option Small Medium Large Xtra-Large
This is a hat with an adjustable velcro closure at the back. The TJS on the front is embroidery/felt, and the back of the hat says Tour 2013. Price: $19.99 One Size Fits All
Counting Sheep - 2009. Price: $14.99. @Copyright 2009 - Original Album Art by Tim Dempski
Deadheading - 2010. Price: $14.99. @Copyright 2010 - Original Album Art by Tim Dempski
Dog Head - 2011. Price: $14.99. @Copyright 2011 - Original Album Art by Tim Dempski
Trying to be Alright - 2012. Price: $14.99. @Copyright 2012 - Original Album Art by Tim Dempski
Psychedelic Guitar - 2013. Price: $14.99. @Copyright 2013 - Original Album Art by Tim Dempski
Actual Alien Encounters – 2014. Price: $14.99. @Copyright 2014 - Original Album Art by Tim Dempski
Spikey’s Signature Red Tip Drumsticks. Price: $19.99
The 2013 Tourbook is 28 pages and includes behind the scenes photos, gear lists and more! This 12x12 sized book includes high-end laminated covers. The book also features the story of the making of The Johnny Smith’s Labor Day Festivals as told by Lenny Smith. Price: $14.99


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Appends text to the end of a note. ## Syntax
appendNote(text: <#String (Allows Variables)#>, note: <#Variable#>)
appendNote(text: "Make sure to join the Jellycuts discord at https://jellycuts.com", note: to-do)


use @write(content); to write raw content. Please include the semicolon after the statement or else the parser will try too write the result of write.
the parser will translate this:
@write('good'); @write('bad')into something like this:
write('') write('good') write('\n') write('') write(write('bad')) write('\n')and the result will be:
good badAs you can see, the 'bad' syntax does work. It's just less efficient.


In 2008 Cynthia and I joined the Leukemia and Lymphoma Society's (LLS) Team in Training (TNT, info video) program as participants to train for the Animas Valley/Steamworks Half Marathon and raise money for blood cancer research and patient services. In spite of our not having any direct connection to blood cancer (at that time), we found the goals of LLS admirable, the combined training and fund-raising program of TNT a great idea, and made many new friends over the many seasons that we have been involved with TNT.
From 2008 through early 2015 we continued to volunteer with TNT, as participants, mentors, and since 2010 I was a coach (check out my half-second of fame in the info video at 2:13) for TNT with an emphasis on training walkers for full- or half-marathons. This page provides a summary of the events that I've participated in in some capacity since 2008.
| Date | Event Name | Event Time | Location on Map |
|---|---|---|---|
| 1/8/2017 | Disney World Marathon | 7:14 | approx. map |
| 10/16/2016 | Duke City Half Marathon | ~2:55 | map |
| 11/13/2015 | Avengers Half Marathon | 3:17:55 | approx. map |
| 1/11/2015 | Disney World Marathon (Goofy - Day 2) | 6:21:01 | approx. map |
| 1/10/2015 | Disney World Half Marathon (Goofy - Day 1) | 2:45:55 | approx. map |
| 10/19/2014 | Duke City Half Marathon | 2:45:17 | map |
| 2/23/2014 | Princess Half Marathon | 3:07:11 | approx. map |
| 2/22/2014 | Princess Enchanted 10k | 1:42:43 | approx. map |
| 9/1/2013 | Disneyland Half Marathon | 2:56:57 | approx. map |
| 1/13/2013 | Disney World Marathon (Goofy - Day 2) | 6:46:57 | approx. map |
| 1/12/2013 | Disney World Half Marathon (Goofy - Day 1) | 3:22:48 | approx. map |
| 9/29/2012 | Hot Chocolate 15k | 1:56:46 | map |
| 6/9/2012 | Animas Valley/Steamworks Half Marathon | no time: coached | map |
| 1/9/2012 | Disney World Marathon (Goofy - Day 2) | 6:56:28 | map |
| 1/8/2011 | Disney World Half Marathon (Goofy - Day 1) | 3:29:00 | map |
| 6/19/2010 | Animas Valley/Steamworks Half Marathon | no time: coached | map |
| 6/6/2010 | San Diego Rock 'n' Roll Marathon | no time: coached | map |
| 10/18/09 | Nike Women's Marathon | 7:13:05 | map |
| 9/6/2009 | Disneyland Half Marathon | 3:43:05 | map |
| 1/11/2009 | Disney World Marathon | 6:57:42 | map |
| 10/19/2008 | Duke City Half Marathon | 3:09:42 | map |
| 6/21/2008 | Animas Valley/Steamworks Half Marathon | 3:14:52 | map |


class Fiddle::Handle
The Fiddle::Handle is the manner to access the dynamic library
Example¶ ↑
Setup¶ ↑
libc_so = "/lib64/libc.so.6" => "/lib64/libc.so.6" @handle = Fiddle::Handle.new(libc_so) => #<Fiddle::Handle:0x00000000d69ef8>
Setup, with flags¶ ↑
libc_so = "/lib64/libc.so.6" => "/lib64/libc.so.6" @handle = Fiddle::Handle.new(libc_so, Fiddle::RTLD_LAZY | Fiddle::RTLD_GLOBAL) => #<Fiddle::Handle:0x00000000d69ef8>
See RTLD_LAZY and RTLD_GLOBAL
Addresses to symbols¶ ↑
strcpy_addr = @handle['strcpy'] =><PHONE_NUMBER>51968
or
strcpy_addr = @handle.sym('strcpy') =><PHONE_NUMBER>51968
Constants
- DEFAULT
-
A predefined pseudo-handle of RTLD_DEFAULT
Which will find the first occurrence of the desired symbol using the default library search order
- NEXT
-
A predefined pseudo-handle of RTLD_NEXT
Which will find the next occurrence of a function in the search order after the current library.
- RTLD_GLOBAL
-
rtld Fiddle::Handle flag.
The symbols defined by this library will be made available for symbol resolution of subsequently loaded libraries.
- RTLD_LAZY
-
rtld Fiddle::Handle flag.
Perform lazy binding. Only resolve symbols as the code that references them is executed. If the symbol is never referenced, then it is never resolved. (Lazy binding is only performed for function references; references to variables are always immediately bound when the library is loaded.)
- RTLD_NOW
-
rtld Fiddle::Handle flag.
If this value is specified or the environment variable LD_BIND_NOW is set to a nonempty string, all undefined symbols in the library are resolved before Fiddle#dlopen returns. If this cannot be done an error is returned.
Public Class Methods
Get the address as an Integer for the
function named name
. The function is searched via dlsym on
RTLD_NEXT.
See man(3) dlsym() for more info.
static VALUE rb_fiddle_handle_s_sym(VALUE self, VALUE sym) { return fiddle_handle_sym(RTLD_NEXT, sym); }
Create a new handler that opens library
with
flags
.
If no library
is specified or nil
is given, DEFAULT is used, which is the equivalent to
RTLD_DEFAULT. See man 3 dlopen
for more.
lib = Fiddle::Handle.new
The default is dependent on OS, and provide a handle for all libraries
already loaded. For example, in most cases you can use this to access
libc
functions, or ruby functions like
rb_str_new
.
static VALUE rb_fiddle_handle_initialize(int argc, VALUE argv[], VALUE self) { void *ptr; struct dl_handle *fiddle_handle; VALUE lib, flag; char *clib; int cflag; const char *err; switch( rb_scan_args(argc, argv, "02", &lib, &flag) ){ case 0: clib = NULL; cflag = RTLD_LAZY | RTLD_GLOBAL; break; case 1: clib = NIL_P(lib) ? NULL : SafeStringValueCStr(lib); cflag = RTLD_LAZY | RTLD_GLOBAL; break; case 2: clib = NIL_P(lib) ? NULL : SafeStringValueCStr(lib); cflag = NUM2INT(flag); break; default: rb_bug("rb_fiddle_handle_new"); } #if defined(_WIN32) if( !clib ){ HANDLE rb_libruby_handle(void); ptr = rb_libruby_handle(); } else if( STRCASECMP(clib, "libc") == 0 # ifdef RUBY_COREDLL || STRCASECMP(clib, RUBY_COREDLL) == 0 || STRCASECMP(clib, RUBY_COREDLL".dll") == 0 # endif ){ # ifdef _WIN32_WCE ptr = dlopen("coredll.dll", cflag); # else (void)cflag; ptr = w32_coredll(); # endif } else #endif ptr = dlopen(clib, cflag); #if defined(HAVE_DLERROR) if( !ptr && (err = dlerror()) ){ rb_raise(rb_eFiddleError, "%s", err); } #else if( !ptr ){ err = dlerror(); rb_raise(rb_eFiddleError, "%s", err); } #endif TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); if( fiddle_handle->ptr && fiddle_handle->open && fiddle_handle->enable_close ){ dlclose(fiddle_handle->ptr); } fiddle_handle->ptr = ptr; fiddle_handle->open = 1; fiddle_handle->enable_close = 0; if( rb_block_given_p() ){ rb_ensure(rb_yield, self, rb_fiddle_handle_close, self); } return Qnil; }
Get the address as an Integer for the
function named name
.
static VALUE rb_fiddle_handle_s_sym(VALUE self, VALUE sym) { return fiddle_handle_sym(RTLD_NEXT, sym); }
Public Instance Methods
Get the address as an Integer for the
function named name
.
static VALUE rb_fiddle_handle_sym(VALUE self, VALUE sym) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); if( ! fiddle_handle->open ){ rb_raise(rb_eFiddleError, "closed handle"); } return fiddle_handle_sym(fiddle_handle->ptr, sym); }
Close this handle.
Calling close more than once will raise a Fiddle::DLError exception.
static VALUE rb_fiddle_handle_close(VALUE self) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); if(fiddle_handle->open) { int ret = dlclose(fiddle_handle->ptr); fiddle_handle->open = 0; /* Check dlclose for successful return value */ if(ret) { #if defined(HAVE_DLERROR) rb_raise(rb_eFiddleError, "%s", dlerror()); #else rb_raise(rb_eFiddleError, "could not close handle"); #endif } return INT2NUM(ret); } rb_raise(rb_eFiddleError, "dlclose() called too many times"); UNREACHABLE; }
Returns true
if dlclose() will be called when this handle is
garbage collected.
See man(3) dlclose() for more info.
static VALUE rb_fiddle_handle_close_enabled_p(VALUE self) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); if(fiddle_handle->enable_close) return Qtrue; return Qfalse; }
Disable a call to dlclose() when this handle is garbage collected.
static VALUE rb_fiddle_handle_disable_close(VALUE self) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); fiddle_handle->enable_close = 0; return Qnil; }
Enable a call to dlclose() when this handle is garbage collected.
static VALUE rb_fiddle_handle_enable_close(VALUE self) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); fiddle_handle->enable_close = 1; return Qnil; }
Get the address as an Integer for the
function named name
.
static VALUE rb_fiddle_handle_sym(VALUE self, VALUE sym) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); if( ! fiddle_handle->open ){ rb_raise(rb_eFiddleError, "closed handle"); } return fiddle_handle_sym(fiddle_handle->ptr, sym); }
Returns the memory address for this handle.
static VALUE rb_fiddle_handle_to_i(VALUE self) { struct dl_handle *fiddle_handle; TypedData_Get_Struct(self, struct dl_handle, &fiddle_handle_data_type, fiddle_handle); return PTR2NUM(fiddle_handle); }


{{updater_email}} updated this feature:
{{feature.name}}
Components: {{feature.blink_components|join(", ")}}
Implementation status: {{status}}
Estimated milestones: {% include "estimated-milestones-table.html" %}
Changes:
Next steps:


Money Play. How should Red play 55?
pips Red=133 White=169
(CorrectAnswer= 0/0, ErrorScore= 0)
This one is closer than I thought. 13/3(2) wins more games but 7/2(2)*, 6/1(2)* wins more gammons although Red has to find a position where White has a take. Given that after the double hit/fan the position is only just a pass that will happen quite frequently.
XG has 13/3(2) as best by a mere 0.0017 so either move is OK – your choice should be tempered by your knowledge of how well you opponent will be able to judge the upcoming cube decisions.
XG has 13/3(2) as best by a mere 0.0017 so either move is OK – your choice should be tempered by your knowledge of how well you opponent will be able to judge the upcoming cube decisions.
1. Cubeful 2-ply 13/3(2) Eq.: +0.713 0.661 0.196 0.005 - 0.339 0.057 0.000 2. Cubeful 2-ply 13/8(2) 6/1*(2) Eq.: +0.459 (-0.255) 0.608 0.183 0.003 - 0.392 0.078 0.001 3. Cubeful 0-ply 7/2*(2) 6/1*(2) Eq.: +0.465 (-0.249) 0.608 0.266 0.002 - 0.392 0.101 0.001 4. Cubeful 0-ply 13/3 8/3 6/1* Eq.: +0.352 (-0.362) 0.593 0.184 0.004 - 0.407 0.095 0.001 5. Cubeful 0-ply 13/8(2) 7/2*(2) Eq.: +0.265 (-0.448) 0.572 0.154 0.004 - 0.428 0.096 0.000


Session History (-)
Your query history will be displayed here. It can be edited or re-set.
List A (-)
Items in this list can be passed as input to queries that support list input, by specifying [A] as a parameter.
List B (-)
Items in this list can be passed as input to queries that support list input, by specifying [B] as a parameter.
Compare Lists A and B
Items in lists A and B will be automatically displayed side-by-side for ease of comparison.


Minesweeper Minesweeper game! Pick a board size and play! Try to hit all the buttons without triggering any bombs. Goodluck!
Carnival - Dress the clown A simple app where you can change the outfit of the clown by pressing Up or Down to select body part and Left or Right to change outfit.
Carnival - Whack-a-mole Try hitting the mole as fast as you can to earn points within the time limit!
Calculator My almost windows functionality clone calculator. You can use your keyboard to type in the numbers and operators to calculate.


Git Game
Question 1
What is git?

No
Yes
Question 4
Which command is used to change branch in git
git branch change [branch_name]
git branch [branch_name]
git checkout [branch_name]
git [branch_name] checkout
Submit Answers


@*
* Copyright 2023 HM Revenue & Customs
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*@
@import config._
@import views.html.helper.form
@import uk.gov.hmrc.govukfrontend.views.html.components._
@import views.ViewUtils.titleBuilder
@this(bcMain: bcMain,
formHelper: FormWithCSRF,
govukTable : GovukTable,
govukBackLink : GovukBackLink,
govukButton : GovukButton,
govukWarningText : GovukWarningText)
@(service: String, businessDetails: models.ReviewDetails, backLink: Option[String])(implicit request: Request[AnyContent], messages: Messages, appConfig: ApplicationConfig)
@backLinkHtml = {
@if(backLink.isDefined) {
@govukBackLink(BackLink(
href = backLink.get,
content = Text("Back")
))
}
}
@bcMain(title = titleBuilder(messages("business-review.agent-editable.title", service)), service = service) {
@backLinkHtml
@messages("business-review.agent-editable.title")
@businessDetails.businessAddress.line_1
@businessDetails.businessAddress.line_2
@businessDetails.businessAddress.line_3.map {line_3 =>@line_3
}
@businessDetails.businessAddress.line_4.map {line_4 =>@line_4
}
@businessDetails.businessAddress.postcode.map {postcode =>@postcode
}
@appConfig.getSelectedCountry(businessDetails.businessAddress.country)


In love with computers since i used one for the first time, i am an experienced software engineer and a craftsman enthusiast, my interests include :
Product: Account Based Marketing tool in SaaS intended to b2b companies
As a member of the R&D team (5 persons) i was in charge/part of:
2014/12 - present
Product : Exchanges management system between ERDF and the electricity suppliers.
Within a distributed team (Lille and Paris) of 70 to 90 people, i was a part of:
2012/10-2014/12
Product : A middleware that caches and translates Siebel CRM SOAP endpoints into REST web services for a mobile application intended for SPIE agents.
2012/04-2012/09
Université de Paris 6 - Pierre et Marie Curie
Science et Technologie du Logiciel specialty API (Algorithmique et Programmation pour l'Ingénierie)
2007-2012
Java, SQL
Shell, JavaScript
Scala, Groovy, Kotlin, Node
Golang, Python
Dart, C


projectfieldwarning-website-landingpage.html
Project: Field Warning
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Politico
parties
politicians
offices
results
admin
profile
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avpaul
my profile & votes
parties
available offices
running politicians
election results
admin panel
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Admin Panel
parties
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government offices
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head ICT
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add


Wed Nov 4 2020 Steam Game Sale Counter Strike ($19.99) Dark Souls III ($29.99) Enter The Gungeon ($13.49) Hover Junkers ($4.99) Good Robot ($8.99) Item total 0.00 Tax 0.00 Total with tax $0.00


{% extends "webclient_web/_logged_base.html" %} {% set title="My Experiments" %} {# Hard-coded for now: #} {% set IMAGES_FOLDER="//www.weblab.deusto.es/weblab/client/weblabclientlab/" %} {% block body %} {{ super() }}
This is the Archimedes experiment, in which the user can check how the Archimedes principle works in practise by controlling any of several balls which can be remotely immersed into water.
{{ gettext("Experiment type:") }} {{ experiment["type"] }}
{% if experiment["type"] == "js" or experiment["type"] == "redirect" %} {% endif %}


The average American spends 32 hours a week listening to music and, according to Time magazine, there are more people who
listen to playlists than those who listen to albums. Self-curated playlists ease the process of listening to music because
they are a collection of music that the user enjoys. Today, playlists curated by Spotify like Today’s Top Hits and RapCaviar
boast millions of followers and are the go to destinations for many looking to find new music. However, it can be difficult
to find an all encapsulating playlist that is personalized to the users that listen to them. With that being the case, we
would like to focus on recommending artists that are personalized to the user by learning from their listening history.
Our approach starts off by merging user data with listening data and building an efficient utility matrix for songs and users.
Using a Nearest Neighbor model from scikit, we recommend artists to users either randomly or by using a list of artists from
their listening history as a base. We attempted other approaches, such as alternating least squares, but the performance
of our Nearest Neighbor model where k=5 provided the best matches. The feature that was most valuable for recommending artists
was the number of times a user played an artist.


GLOBAL PARTNERS
Media: National Geographic
Tennis: Wimbledon
Golf: President's Cup
Yachting: Swan Cup
Hollywood: James Bond


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{% load static %}
Great! Thanks for thee feeback. I will get to work and solve those issues right away.
I finished the new logo design. Check out the first version I uploaded here.
Hi, Dave! Do you wanna have lunch in a couple of hours? I know a nice place near our office.
I finished the new landing page. Check out the first version I uploaded here.