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I am trying to understand how APEX handles Switch page items in the DOM and how to get the current value/state of a switch page item. I have the switch set up to use values of 'Y' or 'N'. The switch will be generated using the APEX_ITEM api in a Content Row Themed Classic Report. I would want the user to be able to use the switches and save the value for each row in the Content Row. When looking at the DOM for the sample app I created, whenever I toggle the switch to the "off" or "no" position the value (or HTML DOM) does not seem to update the value. I set up a DA (on the native switch page item) that runs some JS to alert the current value when the switch changes and it is always the value set on page load, not the current state. The underlying HTML source seems to treat a switch as a restyled checkbox. So I tested a native check box and when clicking the checkbox the DOM updates the value of an associated hidden input for the checkbox and that is

FOLDER STRUCTURE: D:/X/Y/Z/abc.csv I want to zip abc.csv file as abc.csv.zip in same path under Z zip D:/X/Y/Z/abc.zip D:/X/Y/Z/abc.csv; but zip file has been created as X/Y/Z/abc.csv.zip i don't want any directories just csv file with zip. zip D:/X/Y/Z/abc.zip D:/X/Y/Z/abc.csv;

In the transformer architecture from the original paper, I referred many texts but I couldn't solve this insight. Lets start with input sentence, "The cat jumped." My understanding is, each word is parallely processed by each encoder. That is, taking the word cat for example, its embedding is produced, then its positionally encoded to produce another vector. Then, based on the attention computations, a final vector is produced. This is then passed to the feedforward part of the encoder. This process is done in parallel for the all other words of the input sentence. This is repeated until the 6th encoder. Hence, at the last encoder, we have three outputs for each of the words of the sentence. If this is the case, what does the first decoder receive as input? All the three outputs? I don't think this is the case.

I am using a docker image created from base node:22-alpine3.19. It shows vulnerability for the following packages : 3.19:ssl_client 1.36.1-r15 , fixed in 1.36.1-r25 [CVE-2023-42366] 3.19:busybox 1.36.1-r15 , fixed in 1.36.1-r25 [CVE-2023-42366] 3.19:busybox-binsh 1.36.1-r15 , fixed in1.36.1-r25 [CVE-2023-42366] Seems these are fixed in 3.19.1 . I tried to update & upgrade the alpine packages in my Dockerfile. The created docker image still shows these vulnerability. How can I patch these. Dockerfile : FROM node:${RUNTIME_VERSION}-alpine${DISTRO_VERSION} AS builder ARG FUNCTION_DIR WORKDIR ${FUNCTION_DIR} RUN apk add --no-cache \ libstdc++ \ : libcurl \ python3 RUN apk update #Tried update/upgrade in build stage RUN apk upgrade --no-cache <Install my dependencies> # Production Stage FROM node:${RUNTIME_VERSION}-alpine${DISTRO_VERSION} RUN apk update #Tried update/upgrade in pro

I have got this working. However, is there any way I can augment the reference data (wikidata, dbpedia) with my own local graphdb content. if I wanted to recognise my own entities, can I add my db to the kwowledge base? Source: https://graphdb.ontotext.com/documentation/10.5/text-mining-plugin.html#what-s-in-this-document Create a TAG client PREFIX txtm: <http://www.ontotext.com/textmining#> PREFIX txtm-inst: <http://www.ontotext.com/textmining/instance#> INSERT DATA { txtm-inst:tagService txtm:connect txtm:Ces; txtm:service "https://tag.ontotext.com/extractor-en/extract" . } Find Tag entities through GraphDB PREFIX txtm: <http://www.ontotext.com/textmining#> PREFIX txtm-inst: <http://www.ontotext.com/textmining/instance#> PREFIX pubo: <http://ontology.ontotext.com/publishing#> SELECT ?annotationText ?annotationType ?annotationStart ?annotationEnd ?feature ?value

I'm working on an Angular app that uses webRTC. The purpose of this app is to display a video stream coming from a software running on a Google Cloud Platform VM, and being transmitted through WebRTC. I'm using WebSocket for the signaling phase because the software provides a WebRTC feature, and this feature contains a WebSocket server for the signaling phase. When I run it locally (i.e. running the web app on the GCP VM), it works perfectly (the webRTC connection is established and I receive the video). The problem comes when I run the web app on another network. I know that WebRTC relies on STUN and TURN servers. In my specific case, a STUN server should not work since the GCP VM doesn't have an external (public) IP address. In this case I need a TURN server, right ? For testing purposes, I am using a public TURN server : iceServers = [ { urls : turn:freeturn.net:3478, username : "free", credential : "free" } ]

At CPPReference it says that the parameter pack is expanded to pointers, why? template<class... Us> void f(Us... pargs) {} template<class... Ts> void g(Ts... args) { f(&args...); // “&args...” is a pack expansion // “&args” is its pattern } g(1, 0.2, "a"); // Ts... args expand to int E1, double E2, const char* E3 // &args... expands to &E1, &E2, &E3 // Us... pargs expand to int* E1, double* E2, const char** E3 Why does Us... expand to pointers?

Is there some trick to reuse the same collection to generate pages in multiple directories? collections: documentation-app1: output: true permalink: /android/app1/documentation/:name/ documentation-app2: output: true permalink: /android/app2/documentation/:name/ # same collection - desired behaviour: generate the pages in multiple destination folders documentation-common: output: true permalink: /android/app1/documentation/:name/ # pay attention to "app1" documentation-common: output: true permalink: /android/app2/documentation/:name/ # pay attention to "app2" Defining the same collection twice does not work, is there a better solution? I can create the common pages in each collection and reuse the content via an include, but if I use this solution I have to create the documentation files multiple times. Can I somehow get the above working?

It shows the below error : npm ERR! Found: @angular/[email protected] npm ERR! node_modules/@angular/core npm ERR! peer @angular/core@"17.3.6" from @angular/[email protected] npm ERR! node_modules/@angular/animations npm ERR! peerOptional @angular/animations@"17.3.6" from @angular/[email protected] npm ERR! node_modules/@angular/platform-browser npm ERR! peer @angular/platform-browser@"17.3.6" from @angular/[email protected] npm ERR! node_modules/@angular/forms npm ERR! @angular/forms@"^17.3.0" from the root project npm ERR! 3 more (@angular/platform-browser-dynamic, @angular/router, the root project) npm ERR! @angular/animations@"^17.3.0" from the root project npm ERR! peer @angular/core@"17.3.6" from @angular/[email protected] npm ERR! node_modules/@angular/common npm ERR! peer @angular/common@"17.3.6" from @angular/[email protected] npm ERR! node_modules/@an

import java.util.Scanner; public class GreatestCF { public static void main(String []args) { Scanner sc = new Scanner(System.in); checkAmicableNumbers(sc); } // 9 public static void checkAmicableNumbers(Scanner sc) { System.out.println("Enter the first number:"); int num1 = sc.nextInt(); System.out.println("Enter the second number:"); int num2 = sc.nextInt(); factorPairs2(num1); factorPairs2(num2); if (areAmicable(num1, num2)) { System.out.println("The numbers "+num1+ "and "+num2+" are amicable numbers!"); } else { System.out.println("The numbers "+num1+ " and "+num2+" are not amicable numbers!"); } } public static boolean areAmicable(int num1, int num2) { return (sumOfProperDivisors(num1) == num2 && sumOfProperDivisors(num2) == num1); }