Tag: WebDev

This is my code: library(readxl) library(sjPlot) daten_short<- read_excel("C:/Users/rsour/OneDrive/Documents/MA_Datenanalyse2.xlsx", na= "weissnicht") view_df(daten_short, show.frq = T, show.prc = T, show.na = T) I am seeing this: enter image description here. I want to see the frequencies and the percentages but it says: <output omitted> How do I solve this issue?

I have implemented a point cloud rendering software based on Qt, referencing Potree. Its hierarchical filtering principle is as follows: First, the entire point cloud map is divided into small point cloud blocks of different levels, and then the view frustum culling is performed. Subsequently, the size of each point cloud block projected onto the screen is calculated to determine whether it needs to be loaded. Although Potree is open-source, it does not provide a solution for the orthogonal projection mode： // TODO ortho visibility let bb = child.getBoundingBox(); let distance = child.getBoundingSphere().center.distanceTo(camObjPos); let diagonal = bb.max.clone().sub(bb.min).length(); //weight = diagonal / distance; weight = diagonal; In perspective projection mode, the rendering of point clouds exhibits a perspective effect, where objects appear larger at a distance and smaller at a closer range. Therefore, the camera loads high-

I’m loading an external script that exposes a function to the global window object in Angular 20. The script is correctly added to the DOM with its properties (I tried several combinations of async, defer, etc.) from app.ts: then, I inject the window object in a sub-component from the document.defaultView. If I try to access the window object itself, it works, but whenever I try to access a property of it (e.g., window.something) it fails: I thought it was the wrong lifecycle hook, so I tried to call it from each, but with the same result. I succeed in accessing window properties only if I set a timeout, no matter the hook. To be even clearer… export class Foo implements Something { myFunction() { console.log(this.window?.bar); // fails, bar is undefined } ngSomethi

I am using Tabulator in a React (Next.js) application to build a spreadsheet-like data entry grid. Until recently, the layout was perfect: compact cells, tight borders, correct alignment. After a refactor, the Tabulator table UI became completely broken: What is happening now Some borders don't render Cells are stretched or misaligned Header and body column sizes don't match Table looks nothing like a clean Excel grid anymore. What the table used to look like All borders visible and even Very compact layout (like a real Excel sheet) Perfect header/body alignment Stable UI even with many columns Key parts of current config: tabulatorRef.current = new Tabulator(tableRef.current, { data, col

On work we migrated from a local gittea server to github.com. We have an organisation with mostly private repos and I have my own organisation on github with personal projects. Ever since the migration, often, not always, when I want to push something. I have a credential problem. I work in VScode and use MINGW64 termninal that is integrated. What happens is: I hit git push, and a popup window appears prompting for a password for my 'wrong' credentials. This is a really persistant bugger, I have managed to get rid of it a few times. But I really need to start understanding all of this. It keeps getting back and it is still unclear how I properly change credentials. I also find myself that using gh.exe auth login is nothing less but neccesary in order to do a push. I ofcourse run all the command lines that I can think off git config user.name "credentials_A" git config --global user.name "credentials_

Attempting to decrypt a large binary file created with openssl fails regardless of the amount of OS memory available. Tried using the openssl -stream option but yet it fails Here is the memory info :- > free -m > total used free shared buff/cache available Mem: 15809 656 14331 11 > 820 14941 Swap: 4096 0 4096 openssl version OpenSSL 3.0.2 15 Mar 2022 (Library: OpenSSL 3.0.2 15 Mar 2022) lscpu Architecture: x86_64 CPU op-mode(s): 32-bit, 64-bit Address sizes: 46 bits physical, 48 bits virtual Byte Order: Little Endian CPU(s): 20 On-line CPU(s) list: 0-19 Vendor ID: GenuineIntel Model name: 12th Gen Intel(R) Core(TM) i7-12800H CPU family: 6 Model: 154 Thread(s) per core: 2

First I'll describe my case: I'm doing the booking functionality of a Room Booking System. Each room will be booked by slots, so I'll get the total slots of the room on a specific date subtracts the booked slots of the room on that date. This'd require me to pass into the CDS view 2 parameters: Date and Room, and I'll use this CDS view as the value help to help users find the available slots. I tried to test parameterized value help using 2 dummy objects: ZHEAD and ZITEM, with ZITEM was the child of ZHEAD and I'd used a parameterized value help (named ZSH_HEAD_P) in ZITEM to find ZHEAD upon creation or edition. ZC_HEAD: ... define root view entity ZC_HEAD provider contract transactional_query as projection on ZI_HEAD { key ID, Title, IssueDate, IssueLoc } ZSH_HEAD_P: (used as value help) ... @Metad

I've implemented an OCR queue using PaddleOCR and noticed that some documents are receiving the same extracted data as the previously processed document. So far, this behaviour seems to be isolated to each process. After investigating, it appears that PaddleOCR maintains some form of global state or caching mechanism. Versions paddlepaddle==3.0.0 paddleocr==2.10.0 I attempted to clear it, but without success. import paddle from paddleocr import PaddleOCR import gc paddleocr = PaddleOCR(use_angle_cls=True, lang='french', show_log=False) content = paddleocr.ocr(file_path, cls=False, det=True, rec=True) content = "\n".join(line[1][0] for region in content if region is not None for line in region) # ... cleaning attempt ... paddle.device.cuda.empty_cache() del paddleocr gc.collect() I

I am working with Firebase and Google Cloud Platform, and I need clarification on the relationship between Firebase projects and Google Cloud projects. Specifically, I want to understand if it's possible to link multiple distinct Firebase projects to a single underlying Google Cloud project. My understanding is that a Firebase project is essentially a Google Cloud project with additional Firebase-specific configurations and services enabled. This suggests a one-to-one relationship. **Based on this understanding, my questions are:** 1. Is it possible to have two or more distinct Firebase projects share the same underlying Google Cloud project? 2. If not, what are the implications of this one-to-one relationship regarding shared identity, unified resources, and managing different environments (e.g., development, staging, production)? 3. What is the recommended practice for managing multiple distinct applications or environments if a single Google Cl

I have installed Zeppelin with Helm, using the duyet/zeppelin chart on a client's Microk8s cluster and this client has a proxy configured. When I try to run a notebook that installs packages, %python # Install packages in the current Python environment !pip install --upgrade pip !pip install pyais pandas minio pyarrow it correctly creates the interpreter pod, but fails due to the proxy: WARNING: The directory '/opt/zeppelin/.cache/pip' or its parent directory is not owned or is not writable by the current user. The cache has been disabled. Check the permissions and owner of that directory. If executing pip with sudo, you should use sudo's -H flag. Requirement already satisfied: pip in /opt/conda/envs/python_3_with_R/lib/python3.9/site-packages (24.2) WARNING: Re