Tag: WebDev

I have an HP Elitebook X360, which can be folded to tablet mode. I am running XFCE4 under GDM3 with Debian trixie. Occasionally when I have used tablet mode, the keyboard and touchpad remain disabled when changing the position of the screen back to laptop. This is catastrophic when I haven't an external keyboard plugged in, as the only option is to press long enough the power button to halt the computer forcefully. It seems that it is only the DM or WM that do not heed the change from tablet to laptop, since: The keyboard backlighting gets reactivated on pressing a key (it is deactivated when the computer is folded into a tablet), If an external keyboard is plugged in, and I use e.g the Alt-Ctrl-F4 combination to reach a text console, there the built-in keyboard functions normally. However, switching back to X11 does not restore function either in my graphic session. How can I monitor what is g

I’m using GridDB 5.7 with Node.js 16 on WSL2 Ubuntu 22.04. I can successfully connect to the GridDB node, but when I create a container and try to insert a row, I get a segmentation fault: My code test.js: const griddb = require('griddb-node-api'); async function main() { try { const factory = griddb.StoreFactory.getInstance(); const store = factory.getStore({ host: '127.0.0.1', port: 10001, clusterName: 'defaultCluster', username: 'admin', password: 'admin' }); console.log('Connected to GridDB node!'); const containerInfo = { name: 'sample_container', columnInfoList: [ { name: 'id', type: griddb.Type.INTEGER }, { name: 'name', type: griddb.Type.STRING } ], rowKey: true }; let container = await store.putCont

I have a set of binarized images containing forms, each image follows one of N layouts. There are a few outliers which do not follow a layout and contain random text and images. The distance between two images can be calculated, as the number of intersecting black pixels. High overlap means the images are more likely to depict the same form. Are there any algorithms that can cluster the images without computing all pairwise distances, i.e. iteratively or online? I would like to cluster the images by the forms used in each image. Outliers should be detected and not end up within any cluster. Ideally in Python, using scipy.

When I run SAS stat procedures (logistic, mixed, etc.) it saves a .PNG in one of the last folders I was in. I get many of these files saved all over the place in my folders. I want them to stop saving everywhere, but they seem to be like gremlins, taking over my computer.

I have a NestJS app using Mikro-ORM and PostgreSQL. I’m new to Dockerizing database migrations and Mikro-ORM in NestJS. Locally, when I run: npx mikro-orm migration:create npx mikro-orm migration:up npm run start:dev all entity tables are created and I can see them in the database. But when I run the app in Docker Compose: The app builds and starts without errors. Only the mikro_orm_migrations table exists in the database; none of my entity tables appear. My current setup: docker-compose.yml snippet: services: postgres: image: postgres:15 environment: POSTGRES_USER: postgres POSTGRES_PASSWORD: postgres POSTGRES_DB: app_db ports: - '5432:5432' volumes: - postgres_data:/var/lib/postgresql/data healthcheck: test: ["CMD-SHELL", "pg_isready -U postgres"] interval: 3s timeout: 5s retries: 5 app:

I have downloaded the HEALPix5 DECaPS 3D dust extinction map (from arXiv:2503.02657) and imported it as a numpy array 'meanmap'. The array gives an expected result (51415400, 1, 120) to the meanmap.shape function. But when I try to export the file in regular FITS format via healpy.fitsfunc.write_map("decaps_mean.fits", meanmap) I just get the fairly useless error, and have no idea what else to try (I am a python noob). It makes no difference if I add "fits_IDL=False, coord='G'" to the call. Somebody please help! Thanks, Peter

I am trying to connect the DB for testing web elements that have dependencies on data, and in general to add some reliable BE testing. Currently I have cypress.config.js: // cypress.config.js const { defineConfig } = require("cypress"); const sql = require('mssql'); const dbConfig = require("./db_config"); const TEST_CREDENTIALS = require("./cypress.env.json"); module.exports = defineConfig({ projectId: "iu4xc2", e2e: { baseUrl: "", viewportWidth: 1400, viewportHeight: 900, setupNodeEvents(on, config) { on('task', { async testDbConnection() { let connectionStatus = false; try { console.log('Attempting to connect to the database...'); await sql.connect(dbConfig) connectionStatus = true; console.log('✅ Database connection successful!'); re

I am trying to understand the getOrElse() function of arrow-kt. I want to create a simple function that takes a list of strings, filters them, and returns the first matching value as an Option< String >. I created the following trivial example: fun filterStrings(incoming:List<String>):Option<String> { val result = incoming.filter { it.contains('e') }.firstOrNone().getOrElse { incoming.filter { it.contains('b') }.firstOrNone() } return result } @Test fun `test filter strings`() { val values = listOf("aad", "aba", "cdc", "bbb") val result = filterStrings(values) assertThat(result.isSome()).isTrue() assertThat(result.getOrBlank()).isEqualTo("aba") } In this example, the code will fail to compile since 'result' is being smartcast to Any. Why is the result variable being smartcast to Any instead of Options < String &g

I have been working on trying to convert some legacy software to use variadic templates. However, I have been really struggling on overhauling one of the classes, which provides logging, and keeping the changes super minimal. For example: #define ThisFile __FILE__ << ":" << __LINE__ #include "Log.hpp" auto main() -> int { auto Logger = Log{}; const auto a = int{0}; const auto b = int{1}; Logger.print("%s:%d %d %d", ThisFile, a, b); } I have been trying really hard to keep that syntax identical, since this logger is used in hundreds of files and in hundreds of lines of code. I have been able to get std::source_location and the variadic templates to play nicely with each other using deduction guides. #pragma once #include <print> #include <format> #include <string_view> #

I am trying to get a year, and time in UTC format for a particular time I am able to get the time correctly but it is always printing wrong year I am trying to get the UTC time stamp at a particular time instant from the start value which is start_value: 2024-06-05 10:50:42 Target value: 300,150 seconds from the start_value It is able to print the time stamp correctly but the year is shown as incorrect Actual value: 1970-01-04 13:22:30 Expected value: 2024-06-05 13:22:30 Below is what I tried: from datetime import datetime start_time=[300150] dt_time = datetime.datetime.fromtimestamp(300150).strftime('%Y-%m-%d %H:%M:%S') print(dt_time) How would it know where it needs to take the year information from?