I was using Python 3.13 but only a very early version of the PyWorkforce package was compatible with that (currently very recent) Python version. In my case it was fine to switch to Python 3.12, so I've fixed it that way.
Image recognition is a powerful AI-driven technology that enables systems to analyze and interpret visual content from images. It identifies objects, people, scenes, and activities within images and can even detect text or analyze facial features. Advanced features include content moderation to flag inappropriate content, facial comparison for identity verification, and scene understanding for categorization. This technology is widely used across industries for tasks like automating workflows, enhancing security, and improving user experiences by providing insights from visual data.
Pre() is a mongoose method that we can use to perform operations before create schema object . it returns schema object that you define using mongoose schema.
Imagine you're at a game show, and the host asks you a tricky question. Now, you've got two options:
The LLM Way: You're a super-smart contestant who's memorized an entire encyclopedia. You hear the question, and boom! The answer pops into your head faster than you can say "Final Jeopardy." That's your standard LLM - quick, snappy, and relying entirely on what it already knows.
The RAG Way: Now, picture this - you're still smart, but instead of memorizing everything, you've got a secret weapon: a lightning-fast librarian buddy hiding backstage. When you hear the question, you whisper it to your buddy, who then sprints through a massive library, grabs the most relevant books, speed-reads them, and whispers the key info back to you. Then you combine this fresh intel with your own smarts to craft the perfect answer. Cool, right? But obviously, it takes a bit longer than just blurting out what's already in your head.
That's RAG in a nutshell - it's like having a super-speedy research assistant helping you out. It might take a few extra seconds, but it can pull out some impressive, up-to-date answers! It's the difference between being a know-it-all and being a "know-it-all with a turbo-charged fact-checker on speed dial."
So, while RAG might be a tad slower, it's like the difference between fast food and a gourmet meal - sometimes, it's worth the wait for that extra flavour and accuracy!
Local means the tunnel is created with -L flag, not -R. Forward port is from which port you will be accessing this ip:port server you are trying to create a tunnel from on your local. You will be accessing it on your local from localhost:1338. Destination server is the ip:port combination you want to forward to your local on remote side. ssh server is the ip:port of the remote machine you are ssh-connected (yours contains a domain name but anyhow, you get the basics). Port is by default 22, if you didn't explicitely change it, which you did if you conscienciously wrote 7822 at the end as port.
Yes, you can make your handler generic with a generic constraint.
public class CommandHandler<T> : INotificationHandler<T> where T : Notifcation
{
//universal handler
public Task Handle(T notification)
{
//serialization and logging, don't care what body will command have
}
}
This issue may occur due to compatibility problems with the version of Android Studio you're using. I recommend upgrading to:
Android Studio Jellyfish | 2023.3.1 RC 1
Build #AI-233.14808.21.2331.11643467, built on March 29, 2024
This version includes updates to the Gradle plugin and build system that address many issues like the one mentioned.
Here are the relevant details for the recommended version:
Runtime Version: 17.0.10+0--11572160 (OpenJDK 64-Bit Server VM by JetBrains s.r.o.)
Operating System: Windows 11.0
Plugins:
Dart (233.15271)
Flutter (82.1.1)
You can download this version from the official Android Studio website under the preview or stable releases section. Upgrading should resolve the error you're facing.
Dynamic Credit and Debit Integration
This solution seamlessly pairs credit and debit cards to share credit limits, enabling real-time balance checks and transaction rerouting without manual intervention. It uniquely allows debit cardholders to access paired credit resources when funds are insufficient.
Combined Benefits Across Card Types
Unlike traditional reward systems that silo offers to specific card types, this solution aggregates and shares benefits (e.g., travel card rewards combined with cashback benefits) across all paired cards, maximizing value for users.
Privacy-Preserving Design
The solution ensures transaction and offer data remain private to individual cardholders, even within a shared pairing system. Kafka's partitioning and encryption ensure no transaction details are exposed to other cardholders.
Real-Time Event-Driven Architecture
Leveraging Kafka and Kafka Streams, this innovation processes pairing requests, balance checks, and reward calculations in real-time, enabling low-latency transactions and dynamic decision-making for optimal rewards.
While following the nextjs doc and Next.js: debug server-side launch configuration for windows, I was also getting same issue while trying to debug server side code.
I was able to fix it by removing the --turbopack from the package.json.
I was working on nextjs-dashboard sample application which already has this in package.json: https://github.com/vercel/next-learn/tree/main/dashboard/starter-example
Eg.
"scripts": {
"build": "next build",
"dev": "next dev --turbopack", # remove this --turbopack
"start": "next start"
},
I am new to nextjs so don't know what effect does --turbopack creates and why removing it fixed the debugging breakpoint issue. But my gut feeling says that there has to be some fix
You can use an ArgType mapping for children, so that a string is written to the story args, and the (unsupported) JSX is defined in the meta (and untouched by story generation)
As Postman is preparing your request it url-encodes the query parameters but leaves brackets out if you are not using globbing. However, you do not need to turn globbing off in JMeter to have JSON in the query parameters. You can encode the brackets too like so:
'[' -> '%5B'
']' -> '%5D'
'{' -> '%7B'
'}' -> '%7D'
You can do it by hand or find a url encoder online. If you choose the latter, do not give the encoder Postman's partially encoded request as it has already been encoded once and will try to encode the existing '%' characters.
Note: I solved the problem as I was writing it but wanted to keep the question up because I want to learn more alternatives as I am pretty new to all this.
*
openssl does not support specifying a start date, You can only specify the valid days through the --days parameter. An easy way is to change your PC's current time, say back to 2001, so you'll get a certificate valid start at 2001.
The issue with ngx-scanner not working on mobile is usually related to camera permissions, HTTPS, or browser compatibility. Hereâs how to resolve it:
Camera Permissions: Mobile browsers require permission for camera access. Add this:
Device Support: Check if getUserMedia is supported:
if (!navigator.mediaDevices || !navigator.mediaDevices.getUserMedia) {
console.error('getUserMedia is not supported on this device/browser.');
}
If youâre looking for a more reliable option, consider Scanbot SDK (disclaimer: I work for them). It offers broader device compatibility and runs in Angular. For an Angular integration quick guide, check out this tutorial.
The assets used for company branding need to be uploaded to the AzureAD B2C tenant via the Entra Admin Portal GUI. Then, any component that references a branded asset, such as a html template used for a given self asserted page in custom policy, will display the custom branding.
You will now find that your company branding shows up on B2C self asserted pages.
PSA: due to caching on the servers which serve custom policy, changes to custom policy, assets, etc. can take anywhere from 30 minutes to 1 hour. If you have your custom policy set deployed in dev mode, this time will be cut down to roughly ~ 5 minutes.
The custom policy starter pack Microsoft provides will automatically show this branding without any customizations should you follow the tutorial.
If you are still having issues after uploading your branding to the AzureAD B2C tenant I recommend implementing the starter pack as a separate policy set, observe your branding properly rendered on a self asserted page, then reverse engineer/compare/contrast the starter pack custom policy with your own to fill in the gaps.
As a final reminder, ensure you are actually "in" your AzureAD B2C tenant when uploading your branding assets. For admins who use a single account to hop between multiple tenants... they sometimes (myself included) get mixed up what context they are in. You can change tenants using the tenant switcher here.
Thank you so much creating this question as a public announcement.
We are currently facing the same issue with our RDS for MySQL 8.0.37 instance: freeable memory consistent drops, and swap usage surges once freeable memory falls below 1 GiB.
Upon reviewing the MySQL 8.0.38 and 8.0.39 release notes, we came across references to two memory leak fixes:
Group Replication: Fixed a memory leak in /xcom/gcs_xcom_networking.cc. (Bug #36532199)
Kerberos Authentication: Resolved a memory leak observed when running authentication_kerberos under Valgrind. (Bug #34482788, Bug #36570929)
However, we do not use either Group Replication or authentication_kerberos in our RDS MySQL setup. This leads us to wonder whether the release notes might not fully document the specific memory leak we are encountering.
We would greatly appreciate it if you could share whether you were using any of these MySQL features mentioned in the release notes when you encountered memory leak issues with RDS MySQL 8.0.37.
Your input would be greatly helpful in helping us decide whether to upgrade from 8.0.37 to a newer minor version.
Thank you once again for sharing your experience, it has already been a tremendous help!
In my object page, i am calling a GET api, so that api response is then shown in the message dialog. So, can I use waitFor to get the response of the API? and also, to mock that API call with dummy data what should be done?
Image recognition is a powerful AI-driven technology that enables systems to analyze and interpret visual content from images. It identifies objects, people, scenes, and activities within images and can even detect text or analyze facial features. Advanced features include content moderation to flag inappropriate content, facial comparison for identity verification, and scene understanding for categorization. This technology is widely used across industries for tasks like automating workflows, enhancing security, and improving user experiences by providing insights from visual data.
Somewhat late to the party but in version 2.35.0 (when I started using direnv), that functionality can be configured. Create a file .config/direnv/direnv.toml and add the line:
hide_env_diff = true
You can find this and other direnv configuration with man direnv.toml.
The fetch options are for Data Caching, not for Memoization. React keep the result of the fetch call during rendering. Since you're using it in a Page, the result is preserved throughout the rendering. Essentially, it seems that the lack of Data Caching is being blocked by the Memoization mechanism in this situation
I suggest you also read this article
Request Memoization
Configuration Issues: Double-check your SSO and connector
configurations. Any misconfiguration could lead to authentication
errors.
Network Issues: Intermittent network issues can also cause 400
errors. Ensure your network connection is stable and there are no
firewall rules blocking the requests.
The host in my application is v12 and the remote is v15, I faced the same issue, but instead of loading the module using loadRemoteModule. I am loading it as a web component.
{
matcher: startsWith('data-visualization'), // route
component: WebComponentWrapper, // wrapper for the component
data: {
remoteEntry: 'http://localhost:4300/remoteEntry.js',
remoteName: 'v17',
exposedModule: './web-components',
elementName: 'superset-frontend'
} as WebComponentWrapperOptions
},
You have to import them all from the @angular-architects/module-federation-tools
import { startsWith, WebComponentWrapper, WebComponentWrapperOptions } from '@angular-architects/module-federation-tools';
App activity:
If your app hasn't been used enough or hasn't encountered certain events (like crashes or high battery usage), MetricKit may not have enough data to send for the past 24 hours.
Background usage:
MetricKit collects data while the app is running or in the background. If the app is not running or has limited background activity, it might not generate or report certain logs (e.g., battery or network).
Test on a real device and make sure the app runs continuously or in the background for a significant period. Allow it to process background events like crashes, network calls, or high CPU usage.
I have been facing an issue while configuring Certificate-Manager with Autopilot GKE Cluster, the error I was getting is below:
Internal error occurred: failed calling webhook
"webhook.cert-manager.io":failed to call webhook: Post
"https://cert-manager-webhook.cert-manager.svc:443/validate?timeout=30s":
tls: failed to verify certificate: x509: certificate signed by unknown
authority
Basically, you need to install the Cert-Manager through Helm and override the global.leaderElection.namespace with the namespace you are deploying everything into usually it should be cert-manager, so you should execute below commands:
I encountered a similar issue while trying to fetch data from an API in .NET. Initially, I thought the problem was with my code, but when I ran the same code on another system, everything worked perfectly. It turned out that the issue was not with the code itself but related to the .NET framework or some configuration on my system.
Please set SONAR_TOKEN , before running it locally.
I have set environment variable named SONAR_TOKEN in my local system (Windows OS)
If you are running in any environment make sure that environment have variable named SONAR_TOKEN. Now one can generate its OWN sonar token if sonar_server is up. Just go to profile --> setting and generate one token , make a lifetime token if running locally, or don't want token to expire ever.
When I use spark-submit, i do not need to set the runner to SparkRunner, because spark-submit is a command-line tool specifically designed to submit Spark applications. By using spark-submit, Spark automatically handles the execution of the job on the cluster, and I don't need to specify a runner in your code.
On windows (my knowledge is up until windows10), without putting a strict policy for all cmd windows, you can't forbid closure of any python related cmd windows like anaconda prompt when the user closes them via exit button [x]. editing activate.bat of anaconda prompt, using powershell, using autohotkey (except for preventing Alt+F4 for closing the prompt), using GUI simulators like tkinter were all useless in my case to forbid closing cmd windows. So I believe, without putting a strict policy (Windows Group Policy) for all cmd's which sounds very limiting and even dangerous, you better just accept the risk and be careful when you use a time consuming python process on windows.
So what you can do is bring the scanner in auto detection mode which can be done by scanning QR code in manual of MH ET scanner, then it will detect qr code automatically and you will not need to press button.
I faced same problem with Python 3.12 , xampp (php 7.3)
then I do "pip uninstall mysql-connector-python"
then again install "pip install mysql-connector-python==8.0.21"
and now its working fine.
NOTE::
directly pip install mysql-connector-python is installing about 9 version, so its not working, thats why I uninstall 9 and install 8.0.21 version.
The easiest way to do it is to go to your project settings, you would find a section to add and remove categories. Just add it and use Category section in widget settings to enable it
I'm missing something here. For a 3x3 array, both formulas for column B work. But if I change it to a 4x6 array, the values found for column B start over after the first four values. The formula I'm using is:
One of the main issues is that you have to use a UTM projection. Answers to this similar question offer a lot more detail. Here are two possible solutions to your issue based on these answers (including the use of a relevant UTM code):
Create a buffer of 0 units around regions to remove the inner border
Is your heap corruption caused by a custom-made class with an array built in? The following would be an example:
class MyClass
{
private:
public:
int* my_array = new int[10];
~MyClass()
{
delete [] my_array;
}
// possibly other stuff
};
If so, one can simplify the problem for debugging purposes by changing int* my_array = new int[10]; into something more like my_array[10];, then running that through debugging software. This reduces the issue to a segmentation fault rather than heap corruption, which is simpler territory to contend with. With a segmentation fault, it is easier to check if the numbers for memory sections line up.
Note: with a simple C-style array, the delete [] in the example above should be erased or commented out.
Iâve recently been exploring building a SaaS based on multi-tenancy, and I found this article incredibly helpful. Itâs clear and concise, with code examples for implementing multi-tenancy.
Since GA4 it is not possible because the GA account is managed by Google. You don't have admin permissions so you can't link the GA account with an Ads account. For that reason, on the GA page to link it to an Ads account, the "Link" button is disabled.
One strategy to still track the ads conversion without using GA4 is: "drive traffic to your landing page, and after installing the extension, open the welcome page on the same domain with the same analytics counter. Actually, this is a good solution. All of our experiments show that funneling through our site is more effective than sending traffic directly to a Chrome store page."
You can see this link for more discussion, including the comment of "Uladzimir Yankovich" who originally proposed this strategy
I have the same question.
I've tried QMap<int, QVariable> and QHash. But both .insert() and operator[] do not work. They all crashed at the QHash::operator[] -> QHash::detach.
Just like this.
qDebug() << value << role;
m_map[role] = new QVariant(value);
The value and role are both conrrect. But the m_map[] always crashed at function detach.
GitHub user Osyotr's suggestion worked -- adding the following to CMakeLists.txt:
target_compile_definitions(${target_name} PUBLIC "$<$<CONFIG:Debug>:BOOST_DEBUG_PYTHON>")
target_compile_definitions(${target_name} PUBLIC "$<$<CONFIG:Debug>:Py_DEBUG>")
Thanks for the detailed background on the problem. As the X-SMALL warehouse has limited computing capacity, a limited number of files are ingested concurrently. You have multiple thousand files with 10-50 MB. Using a larger warehouse (large, x-large) should parallelize the bulk loading operation. Refer to this doc on improving bulk loading.
This
is my repo to log in with google, you can access the auth module to check it out.
the solution I'm doing is FE will call the API from BE to redirect to Oauth page, and the callback will call your BE, your BE will redirect to FE, and return the token and use it
