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So I'm new to SpringBoot and in my Database i have a table called Category: CategoryId(pk), name, parent_id. For the Code I am planning, that I can select a Categord (e.g Car) and then I get all the subcategorys (e.g car_insurance) which has the categoryid from Car. Now you cannot save something with the Parent ID, but there are some Categories, that don't have any child categories. I am wondering If i should do 2 models: Category and SubCategory or one Model with then all the columns above. I hope the question is understandable, as this is one of my first small projects. Thank you in advance and please let me know if something is missleading or wrong ^^

When I create an AppEntity and have it conform to EntityQuery, a Find AppIntent is created for that entity which can be used in the Shortcuts app. Currently, when this intent is used, it only creates text. However, when I use the default Calendar app's Find intent, it returns a rich view like this: How do I return a rich view like this? I already tried using a Snippet view on some other AppIntents but that does not work because it shows the snippet on top of the Shortcuts app, not embedded into the Shortcuts app like this. Additionally, when I click on a calendar event, I can see more details like this: How can I do this for my AppEntities too? I suspect it might be related to QuickLook because when I hold the event from the list, it shows

I have two discrete systems. The first one (B1) is composed of sequences starting with 0 and where steps are either +2 or "no-op". For instance : 0 → 2 → 4 → 6... 0 → 0 → 2 → 4 → 4 → 4 → 6... 0 → 0 → 2 → 2 → 2 → 2... The second one (B2) is composed of sequences starting with 0 and where steps are either +1 or "no-op". For instance: 0 → 1 → 2 → 3... 0 → 1 → 1 → 2 → 2 → 2 → 3... 0 → 0 → 0 → 0... Now I have a function h : nat → nat, defined as: h(n) = ⌊ n/2 ⌋ * 2 h(0)=0, h(1)=0, h(2)=2, h(3)=2, h(4)=4... f : B2 → B1 is the obvious "extension" of h. For instance, f maps the B2 sequence 0 → 1 → 1 → 2 → 2 → 2 → 3 → 4... to the B1 sequence 0 → 0 → 0 → 2 → 2 → 2 → 2 → 4... I want to show that B2 refines B1 under f, meaning that:

I am programming an neural network to recognise digits trained on the MNIST dataset. At the moment I am reading each line separately using the following code: file = np.loadtxt(dataLocation, delimiter=",", dtype="float128") count = 0 print("Starting training") for row in file: count += 1 data = [] for item in row: data.append([item/255]) #This takes an array like [1,2,3,4] and makes it [[1],[2],[3],[4]] which is necessary for this program desired = self.Transformer(data.pop(0)) #Look at transformer method to understand where self.transformer() calls a function that takes the first element from a line e.g 2 and outputs this in the vector [[0],[0],[1],[0],[0],[0],[0],[0],[0],[0]]. What I wanted to know is whether there is a more efficient way to read this as with my current program, one epoch takes about 30 minutes and that means that fo

I am trying to create the demo app: https://github.com/fastify/demo I copied the .env.example and created an .env file with the following contents, modified the database connection part to fit my DB credentials: # Must always set to production # @see {@link https://www.youtube.com/watch?v=HMM7GJC5E2o} NODE_ENV=production CAN_CREATE_DATABASE=1 CAN_DROP_DATABASE=1 CAN_SEED_DATABASE=1 # Database MYSQL_HOST=localhost MYSQL_PORT=3306 MYSQL_DATABASE=test_db MYSQL_USER=my_user MYSQL_PASSWORD=my_password # Server FASTIFY_CLOSE_GRACE_DELAY=1000 LOG_LEVEL=info # Security COOKIE_SECRET=my_secret COOKIE_NAME=session_id RATE_LIMIT_MAX=4 # 4 is for tests, increase if you need more The connection is working because npm run db:create creates the schema test_db, but when I run the next command npm run db:migrate, I see

MongoDb Connection failed : Error: querySrv ECONNREFUSED How can I solve this error? My node v24.13.0 and mongoose 9.1.5 are the latest versions. Also I changed my network dns to Google's dns number 8.8.8.8, and in my mongodb atlas network acc ip address is 0.0.0.0/0 so that any ip address can access and install Locally in my system. Here is the connection code: import express from "express"; import mongoose from "mongoose"; import cors from "cors"; import dotenv from "dotenv"; dotenv.config({ path: "./.env" }); const app = express(); const MONGO = process.env.MONGO_URL; mongoose .connect(MONGO) .then(() => { console.log("Database Successfully connected"); }) .catch((error) => { console.error(`MongoDb Connection failed : ${error}`); }); app.use(express.json()); app.use(cors());

Using GitHub Actions to build a project based on autoconf using Linux is straightforward. jobs: ubuntu-autoconf: runs-on: ubuntu-latest steps: - uses: actions/checkout@v6 - name: configure run: ./configure - name: make run: make For Windows, i.e. replacing ubuntu-latest with windows-latest, the same code does not work. Configure is not properly executed: Run ./configure ./configure shell: C:\Program Files\PowerShell\7\pwsh.EXE -command ". '{0}'" The following make fails obviously, too. What is missing? Some dependencies or more code? I could not find any related documentation.

I have these two tables: t1: id, x1 (integer) t2: id, a2 (integer[]) This SQL command: SELECT id FROM t1s WHERE x1 IN (SELECT a2 FROM t2s WHERE id = #{id}); causes an error: operator does not exist: bigint = integer[] The problem is caused by SELECT a2 FROM t2s WHERE id = #{id} returning an array of arrays (or maybe a list of arrays), but the IN clause in the outer command is looking for an array of integers. [a2] = SELECT a2 FROM t2s WHERE id = #{id} It would work if it were: a2 = SELECT a2 FROM t2s WHERE id = #{id} The problem remains the same if I tell psql that (SELECT a2 FROM t2s WHERE id = #{id}) is only one row by (SELECT a2 FROM t2s WHERE id = #{id} FETCH FIRST 1 ROW ONLY). So how to convert the list of arrays with one element [a2] to i

I need assistance with implementing an API key to connect to a supplier's website and update stock levels on my Shopify site. This project requires attention to detail and the ability to troubleshoot any integration issues that may arise. kindly please explain about it in details

I am trying to find out how to pass the list below exactly as it looks from python into R through rpy2 for further processing into the R script and then get the resulting value back to python. [[6.99392345e-01 5.49632800e-01 5.06689159e-01] [8.99550859e-01 4.80455778e-01 1.63756626e-03] [2.41446967e-04 4.57143249e-01 9.02994382e-01] [9.23099294e-01 2.97094556e-02 4.04195476e-01] [2.17356714e-08 3.55494425e-06 1.01591254e+00] [4.77737570e-01 6.70860436e-02 8.94129347e-01] [3.27139377e-03 9.02816866e-01 4.49089069e-01] [5.21335453e-01 8.64285916e-01 6.80395398e-03] [5.20486609e-04 1.01774510e+00 3.68351896e-06] [1.03490286e+00 2.54819339e-02 8.03965100e-03]] I am running the code below where 'res' is the list above: from rpy2 import robjects R_float_vec = robjects.vectors.FloatVector(res) python_float_list = list(R_float_vec) print(python_float_list) I get back the following: [0.699392345195757, 0