Me - Prior Cascadia font problem. Windows 10, the newer devices interface to "font" , any interaction with Cascadia just crashes setup. Many random keystrokes on my part on clearing fonts, initially from c:\Windows\Fonts & later from c:\Users\..\AppData\Local\Microsoft\Windows\Fonts ( files open by foo , at one point I couldn't even find what had my file open, the tool I was using unhelfully said "the system" and/or some other fairy that isn't a real thing. Symptom: Windows 10. Fresh install of vs2022 "free version", on a system that has had vs before , that does have vscode , that does have microsoft terminal, most likely way of removing stuff is via the BCU tool. I load vs2022 c/o I happen to like the interface to Anaconda Python install c/o the way it interacts with the standard Python debugger. ( I ask ChatGPT to write some code, my prose is very long, prior art - I have zero expectation of the code presented doing what I want & if I debug by "print to stdout", I will get bored very quickly. What I get is vs being able to run a python script but the editor just isn't , nothing displayed, no ability to edit, just a tab saying my python file name and a message saying Cascadia Code isn't being used .. and a fib that some other font is being used. ( I don't remember the other font ). Google -> no clues. ChatGPT - a whole bunch of suggestions, all could be genuine, none got me any further. So ... interaction with settings and Cascadia Code crashed settings , any attempt to reinstall italic variants of Cascadia appeared to go into infinite loops ~ leave settings @ 100% of a single thread, go for coffee, go to the shops, come back , still 100% of a single CPU , force a stop of settings, repeat , pull hair out ..
Seems like the difference is only in syntax [source]:
PySpark and pandas on Spark both have similar query execution models. Converting a query to an unresolved logical plan is relativpandas API on Sparkely quick. Optimizing the query and executing it takes much more time. So PySpark and pandas on Spark should have similar performance.
The main difference between pandas on Spark and PySpark is just the syntax.
After reading the comment of mklement, I created the following working code:
powershell -Command ^
$COMPORT=(Get-WmiObject Win32_SerialPort ^| Select-Object Name, DeviceID ^| ^
Where-Object { $_.Name -like 'USB Serial Device*' } ^| Select-Object -ExpandProperty DeviceID); ^
Write-Host \"Using COM port:[$COMPORT]\"; Start-Process -Wait -FilePath putty -ArgumentList ^
\"-serial $COMPORT -sercfg 9600,8,n,1,N\""
No, It only creates a reference of the object, you can see the official documentation referring that here.
This matches your earlier intuition, modifying keyObj (e.g., changing its properties) will still allow you to retrieve the associated value since it's the same object reference.
Recover from any investment platform, recover from any fraud, hack cash app, recover from dating scam.
Have you ever been tempted to get involved in binary options? Have you had a bad experience? Have you been scammed?
Binary options trading scams are very frequent and binary options loss recovery can be difficult but not impossible. Get in touch with Ethical Recovery service via telegram: (web3ethicalrecovery) and recover your funds.
I've tried (i feel like) all the different formats of variables I could find online and by asking copilot in vscode. Nothing works, all I get is "##[warning]Unable to apply transformation for the given package - Changes are already present in the package."
I have confirmed that the paths are right and that the .json is present. I hope someone sees this and can assist me with what I' am doing wrong.
No, you cannot skip a build stage in AWS CodePipeline directly.
But here’s what you can do:
Use a condition: You can add a rule (like a check using AWS Lambda) to only run the build if needed. For example, run the build only when certain files change.
Use different pipelines: You can create separate pipelines for different tasks, so you don’t always run the build stage.
Make the build optional (in a way): You can change the build action to just pass or do nothing if certain conditions are met.
Also you can visit DevOps with AWS institute if you want proper path .
I ended up using VS Code to connect to my other Mac using ssh to code with. When you run the nvg run from the embedded terminal, it will automatically forwarded the port 8080 back to my local machine.
Az online kaszinók között a https://wazambacasinohu.org/ kiemelkedik színes és interaktív felületével, valamint széles játékkínálatával. Az oldalon megtalálhatók a klasszikus és modern nyerőgépek, élő kaszinó játékok, valamint különböző bónuszok és promóciók, amelyek minden játékos számára izgalmas lehetőségeket nyújtanak. A felhasználóbarát navigáció és a könnyen kezelhető felület garantálja, hogy a játékélmény zavartalan és élvezetes legyen.
Hi everyone. While installing test link, I get this error at the last step:
Parse error: syntax error, unexpected token ":" in C:\xampp\htdocs\testlink\config.inc.php on line 242
This is line 242 I have on the config.inc.php file:
/** @var string Path to store logs */
$tlCfg->log_path = D:/xampp/htdocs/testlink/logs/; 'logs' . DIRECTORY_SEPARATOR ;
Can you tell me where the error is? Thanks.
It's usually because of edge cases, input/output formatting issues, or logic errors that only some HackerRank test cases fail. Ensure that your code is optimized according to constraints and hidden inputs.
I had this issue and found out that the developers of {targets} recommend installing the latest version of {data.table} from CRAN to address this exact issue:
Lingui: Attempted to call a translation function without setting a locale.
Make sure to call `i18n.activate(locale)` before using Lingui functions.
In a Next.js App Router setup, this usually happens because your server-side prerender (or build step) renders a page where you call t, Trans, or i18n._(...)before you’ve initialized Lingui and activated a locale.
Here are the key points to fix it:
1. Initialize Lingui on the server
Lingui requires an i18n instance with an active locale. In an App Router project, that normally means you need to initialize it per request (server components can’t rely on a global instance).
Example lib/i18n.ts:
import { i18n } from "@lingui/core";
import { messages as enMessages } from "../locales/en/messages";
import { messages as deMessages } from "../locales/de/messages";
// preload your catalogs (or load dynamically if you prefer)
const catalogs: Record<string, any> = {
en: enMessages,
de: deMessages,
};
export function initI18n(locale: string) {
if (!catalogs[locale]) {
throw new Error(`Missing messages for locale "${locale}"`);
}
i18n.load(locale, catalogs[locale]);
i18n.activate(locale);
return i18n;
}
2. Call it inside a layout or server component
For App Router, you can initialize per request in your layout.tsx:
That way, before any translation is rendered, you’ve already activated the locale.
3. Don’t call t outside components
If you try to use Lingui’s t macro or i18n._(...) at the module top-level (outside a function, e.g. directly in page.tsx), Next will evaluate it before your I18nProvider exists → you’ll get that exact error.
✅ Instead, always call t or render <Trans>inside React components.
4. Double-check static export (next export)
If you’re running next build && next export, Next will prerender all routes. If Lingui doesn’t have a default locale active at build time, you’ll hit the error.
Options:
Use a default locale in initI18n when nothing is passed.
Or exclude those pages from prerendering (dynamic = "force-dynamic" in page.tsx).
⚡ Likely fix for you: move all t(...) calls inside components and make sure you’re activating i18n in your [locale]/layout.tsx (or _app.tsx if you’re still using Pages Router).
DID I HELP YOU TO SOLVE THE PROBLEM???
Reasons:
Blacklisted phrase (1): ???
RegEx Blacklisted phrase (1.5): SOLVE THE PROBLEM???
When you call asyncio.create_task(coro), the coroutine doesn’t just get registered. It is scheduled immediately on the event loop. That means the coroutine is started right away, up until its first await.
That’s why you see Do something with 1... printed immediately after creating task1: the event loop gives it a chance to run at least until it hits await asyncio.sleep(...). Same for task2.
I was able to fix the issue by using System.Windows.Forms.Clipboard instead of System.Windows.Clipboard.
Explanation:
System.Windows.Clipboard uses WPF. Its first usage will start a hidden WPF message loop. This loop marks the application as DPI-aware and triggers a DPI awareness context switch. As a result, the window layout breaks if the application cannot handle higher DPI settings.
To reproduce the behavior, a Windows DPI setting above 100% is required (e.g., 150%).
The problem was on AWS IAM User. I deleted the previous user and recreated a one with Full S3 access. Used new KEY and SECRET from the new user and problem solved.
In my latest Dyomla run I encountered the same problem...
For the the Dymola 2023 Version following these steps worked:
go to >Options >click in the bottom on the button "Variables..."
This opens a window with all Dymola varaibles. Then use the filter/ search bar and enter the Variable Advanced.Define.DAEsolver
Just upgrade your flutter version. If you don't want to upgrade then just download the current flutter sdk from flutter's sdk archive site and replace the your current flutter folder with the newly downloaded one(make sure the folder name doesn't change so that path doesn't get affected) and restart VSCode.
Yea this is the expected behaviour. If you hide/minimise the PiP window, it turns into audio only feed and video feed stops. You can even notice the indicator on the native system toolbar turns from green (camera feed) to orange (mic feed).
Great questions! You're asking all the right things as someone starting with container orchestration. Let me break
this down clearly:
Minikube vs Multi-Node Clusters
You're absolutely right - Minikube is single-node only. It's designed to run Kubernetes locally on your laptop for
learning/development. For your 4-node Raspberry Pi cluster, Minikube won't work.
For Raspberry Pi clusters, you have better options:
K3s (my top recommendation for Pi clusters)
MicroK8s
Full Kubernetes (but it's overkill and resource-heavy)
Docker Compose Multi-Host Question
Docker Compose alone cannot manage containers across different hosts. It's designed for single-host deployments.
If you want to run containers on multiple Raspberry Pis with Docker Compose, you'd need separate compose files on
each Pi - no automatic coordination between them.
For simple cross-host orchestration, you'd need something like Docker Swarm or K3s.
Docker Swarm vs Kubernetes
They're completely independent solutions that solve the same problem:
Docker Swarm: Docker's built-in clustering (simpler but less powerful)
Kubernetes: More complex but much more capable
You pick one or the other, not both.
Kubernetes on Raspberry Pi - Resource Usage
You heard correctly! Full Kubernetes is resource-hungry on Pi. A single-node Kubernetes cluster can easily consume
1GB+ RAM just for the control plane components, leaving little for your actual applications.
This is why I strongly recommend K3s for Raspberry Pi clusters.
K3s - Perfect for Raspberry Pi
K3s is lightweight Kubernetes that's perfect for your use case:
Uses only ~40MB RAM for the control plane (vs 1GB+ for full K8s)
Single binary installation
Works great on ARM/Raspberry Pi
Still gives you full Kubernetes API compatibility
Designed exactly for edge/IoT scenarios like yours
curl -sfL https://get.k3s.io | K3S_URL=https://main-pi-ip:6443 K3S_TOKEN=your-token sh -
Alternative: Docker Swarm for Simplicity
If K3s feels too complex initially, Docker Swarm is simpler:
On main Pi:
docker swarm init
On other Pis:
docker swarm join --token :2377
Then you can deploy with docker stack deploy using compose files.
My Recommendation Path:
Start with Docker Swarm - easier to understand, good for learning clustering concepts
Move to K3s when you want more advanced features
Never use full Kubernetes on Pi - it's overkill and will eat your resources
Quick Comparison for Pi Clusters:
Tool
RAM Usage
Complexity
Pi Suitable
Docker Compose
Low
Very Low
Single Pi only
Docker Swarm
Low
Low
✅ Great
K3s
Low
Medium
✅ Excellent
Full Kubernetes
High
High
❌ Too heavy
MicroK8s
Medium
Medium
✅ Good
Start with K3s - it's specifically designed for scenarios like yours and will give you the best learning
experience without killing your Pi's performance.
"I want to perform report rationalization for our enterprise reporting ecosystem. The environment includes SQL Server tables, stored procedures, SSIS packages, and SSRS reports stored in our code repository. Please analyze all this source code and metadata to:
Extract metadata about data sources, transformations, and reports
Build a data lineage and dependency graph showing how data flows from SQL tables through ETL to reports
Identify reports that are similar or near-duplicate based on query logic, datasets, parameters, and output metrics
Cluster reports by similarity and highlight redundancies
Provide a summary report listing duplicate or overlapping reports with explanation of similarity criteria
Visualize key dataset reuse and report dependency chains
You can treat this as a multi-step task with iterative refinement. Use retrieval-augmented generation techniques to incorporate contextual information from the entire codebase for accurate analysis. Output the findings in a structured format suitable for consumption by business and technical stakeholders."
import numpy as np
class EpsilonGreedy:
def __init__(self, k_arms, epsilon):
self.k_arms = k_arms
self.epsilon = epsilon
self.counts = np.zeros(k_arms) # Store for Number of Arm is pulled
self.values = np.zeros(k_arms) # Store for Estimated Value for each Arm
def select_arm(self):
if np.random.rand() < self.epsilon:
print("Selecting 1 random Arm between 1 and k_arms")
return np.random.randint(0, self.k_arms)
else:
max_value = np.argmax(self.values)
print("Selecting Max Value Arm", max_value)
return max_value
def update(self, chosen_arm, reward):
self.counts[chosen_arm] += 1
c = self.counts[chosen_arm]
value = self.values[chosen_arm]
updated_value = ((c-1)/c) * value + (1/c) * reward
self.values[chosen_arm] = updated_value
# print(chosen_arm, " has been selected ", n, "times")
# print("Current value for ", chosen_arm, " is", updated_value)
k_arms = 10 # Ten weapon options
epsilon = 0.1 # Random weapon for 10% of trials
n_trials = 1000
rewards = np.random.randn(k_arms, n_trials)
agent = EpsilonGreedy(k_arms, epsilon)
total_reward = 0
for t in range(n_trials):
arm = agent.select_arm()
print(arm)
reward = rewards[arm, t]
agent.update(arm, reward)
total_reward += reward
print("Total Reward ", total_reward)
Yesterday I spent hours debugging my Flutter app. The .aab looked fine in Android Studio, but both the emulator (16kb) and Play Console showed errors. The issue is a bug in Android Studio Narwhal 2025.1.2, where AAB alignment isn’t checked properly (APKs are fine).
The fix: install the RC version (2025.1.3), upgrade NDK to r28, and update Gradle. I used gradle-8.14.2-all.zip since I couldn’t find the alpha mentioned.
Hope I save you some time if you are on the same situation. 😊
check your URL rewrite's in the web.config file or IIS manager (as depicted in the picture below), make sure the rules are correct, check out my problem to fixing the WebResource.axd file: https://stackoverflow.com/a/79755304/1704382
had similar issue and if this pings op, please update your secrets and passwords posted above and i'm still trying to solve the warning
WRN Error checking new version error="Get \"https://update.traefik.io/repos/traefik/traefik/releases\"
for me chilean reazoning is no any reason to make a job execute inmediatly, first question is, why inmediatly?, is the job any possibility to improve any priocess of you entire bussines pŕoccess?
by the way if you make a call to any api inmediatly use cURL.
Firstly, you need to choose which host you want to refactor:
If you need to change both the username and password, please edit the username first. SourceTree will require the password when you interact with the Git repository.
If you need to change the password only, I think it is better to delete the credential. When you interact with the Git repository, SourceTree will require you to enter a new one.
Q : " Can anyone tell me what I'm doing incorrectly? "
(a) repair the adresses accordingly, so as to indeed .connect() onto an RTO .bind()-prepared AccessPoint(s)
(b) repair the error-blind distributed-code. There are many reasons, why naiive expectations may and do fail in real-world. Always test errno-indicated results from operations
(c) better be nice to resources. There is no control of closing/release of instantiated sockets. That is wrong. Always release/dispose off resources, the more if gonna be used infinitely times, as above in an infinite loop.
(d) last, but not least, your code should fail even on the localhost colocated run attempts, as the XPUB/XSUB-messages are (by definition, documented in native API, which Python wrapper might have put in shade) multipart. The code as-is shall block infinitely, as even the first arriving message ( being by definition multipart ) does not fully read-out from the incoming queue. One may find, even here, on StackOverflow, remarks on "robust"-provisioning for surviving (un)known-many-parts multipart-messages for production grade apps.
Reasons:
Blacklisted phrase (1): StackOverflow
RegEx Blacklisted phrase (2.5): Can anyone tell me what
Add USE_EXACT_ALARM (for exact scheduling) and FOREGROUND_SERVICE_DATA_SYNC (if applicable) in your manifest.
Switch from BackgroundJob to WorkManager – it’s the officially supported way for background sync in Android 12+.
For push notifications, ensure you’ve requested POST_NOTIFICATIONS and added a proper NotificationChannel.
On Android 14, background execution logs “not allowed” if you don’t start the task from a foreground service or scheduled WorkManager job.
Use WorkManager (with constraints if needed) instead of BackgroundJob, and if you need long-running tasks, tie them to a foreground service with the right permission in the manifest.
The reason this is happening is because setState is asynchronous. So clientSecret may not yet hold a value when stripe.confirmCardPayment was called. This is in line with the React docs here: https://17.reactjs.org/docs/react-component.html#setstate
React does not guarantee that the state changes are applied immediately
...
setState() does not always immediately update the component. It may batch or defer the update until later. This makes reading this.state right after calling setState() a potential pitfall.
Another approach you can consider, is to use the useEffect hook to monitor changes to clientSecret. This way, once it has a value/changed it's value, you can call stripe.confirmCardPayment.
Answer: PumpFun bonding curves use massive virtual reserves (typically 30,000 SOL and 1+ billion tokens) that dominate the pricing formula until substantial real volume accumulates, making small sells return effectively zero SOL due to mathematical rounding rather than a technical bug.
Resolutions: (1) Build significant volume through multiple large purchases totaling 10-100+ SOL before attempting sells, (2) use a different DEX like Raydium for immediate buy/sell testing, (3) create tokens with lower virtual reserves if using a custom bonding curve implementation, (4) simulate realistic market conditions with multiple wallets making substantial purchases, or (5) accept that PumpFun is designed for tokens that build community volume over time rather than immediate trading functionality.
I have a question, how to launch the website with .env variables? Currently I have them under the build/web/assets folder which will be exposed to the public when I deploy the web app. So, how to deploy the flutter web safely with a .env file without leaking any secrets on a hosting platform?
