rtfm | A documentation library mod for Mindustry

I went through a lengthy process removing mod_ssl and replaced it with gnutls because I wanted to use TLS 1.3.

The difference I’ve noticed is gnutls doesn’t support older, legacy methods, only new ones.

OpenSSL supports them all. Is that a better choice? I could find very little support configuring with gnutls and Apache other than the RTFM pages.

Cons pro? Should I move back to mod_ssl? I'm leaning towards, I made a mistake with GnuTLS just for TLS 1.3 and to get a good security ranking score.

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I'm trying to access the @PathVariables defined in "MyClass"'s @RequestMapping parent. Simplified screnario:

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I'm trying to scrape URLs off of a web page, and they're located inside of a rankings table which takes a few seconds to load.

What I want to do is wait until the rankings table finishes loading, then grab it by its id and iterate over the elements.

This is the code I'm using to grab the page and wait:

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I hope it's ok to ask for your advice.

The problem in a nutshell: my pipeline cannot pull private images from GHCR.IO into Okteto Kubernetes, but public images from the same private repo work.

I'm on Windows 10 and use WSL2-Ubuntu 20.04 LTS with kinD for development and tried minikube too.

I get an error in Okteto which says that the image pull is “unauthorized” -> “imagePullBackOff”.

Things I did:browsed Stack Overflow, RTFM, Okteto FAQ, download the Okteto kubeconfig, pulled my hair out and spent more hours than I would like to admit – still no success yet.

For whatever reason I cannot create a “kubectl secret” that works. When logged-in to ghcr.io via “docker login --username” I can pull private images locally.

No matter what I’ve tried I still get the error “unauthorized” when trying to pull a private image in Okteto.

My Setup with latest updates:

• Windows 10 Pro
• JetBrains Rider IDE
• WSL2-Ubuntu 20.04 LTS
• ASP.NET Core MVC app
• .NET 6 SDK
• Docker
• kinD
• minikube
• Chocolatey
• Homebrew

Setup kinD

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I have a Google Sheets question, which I have not been able to figure out yet with Google-Fu and RTFM:

Take the following spreadsheet as an example: https://docs.google.com/spreadsheets/d/1IvMVaUdUDfYOoKyG0Uwd2n0M1mLjOTE5yZQ9K2R3q2M/edit?usp=sharing

In case the sheet gets lost in time, I am going to post its contents here:

Sheet1:

foo withdrawal deposit C 4 10 D 10 E 10 4

As you see here, the withdrawal field for the D value being foo is empty, i.e. null

Sheet2:

foo balance C =INDEX(QUERY({Sheet1!$A$2:C}, "SELECT SUM(Col3) - SUM(Col2) WHERE Col1 = '"&A2&"'"), 2) D =INDEX(QUERY({Sheet1!$A$2:C}, "SELECT SUM(Col3) - SUM(Col2) WHERE Col1 = '"&A3&"'"), 2) E =INDEX(QUERY({Sheet1!$A$2:C}, "SELECT SUM(Col3) - SUM(Col2) WHERE Col1 = '"&A4&"'"), 2)

The result is

foo balance C 6 D E -6

As you see, the balance field for the category D is null, although it should be -10.

The fix for that is to put a 0 into the deposit field in Sheet1 explicitly.

In my example, I get that data using a csv-export, and fields are generally empty and not 0, and it is cumbersome to add the 0 there. Is there a way to have something like COALESCE in that sum there (like in SQL)?

Please let me know.

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I am entirely new to Azure, so if this is easy please just tell me to RTFM, but I'm not used to the terminology yet so I'm struggling.

I've created a data factory and pipeline to copy data, using a simple query, from my source data. The target data is a .txt file in my blob storage container. This part is all working quite well.

Now, what I'm attempting to do is to store each row that's returned from my query into an individual file in blob storage. This is where I'm getting stuck, and I'm not sure where to look. This seems like something that'll be pretty easy, but as I said I'm new to Azure and so far am not sure where to look.

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i am succesfully build up my shellcode.

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I ran into a newbie problem with my first VC++ MFC app (actually, I ran into many problems, but RTFM and DuckDuckGo helped to solve them without crying here for help. Except this one!). Bear in mind that I am playing with this as a tutorial for myself, kind of a learn by example project, and I have a few years of Win GUI app programming experience in Deplhi/Lazarus, and now I am attempting to transition into VC++, simply for my own curiosity. While I am also good with C language programming, I have significantly less experience with C++. So the new programming environment and the less-known language together pose as my obstacle.

Here is what I did:
In a recently installed Visual Studio 2019 Community with only the Windows App development in C++ components selected, started a new project, chose C++ MFC App (Build apps with complex user interfaces that run on Windows.). Set application type to Dialog based, turn off all User Interface Features so only Thick frame is checked (unchecked System-menu, unchecked About-box), turn off all Advanced Features so only Common Control Manifest is checked (unck Printing and print preview, unck Activex controls, unck Support Restart Manager), clicked FINISH.
This prepared me an app with a single small main window, OK and Cancel buttons in its lower-right corner, and a STATIC TEXT item in the middle-center reading something like "TODO: add your own items here". Project name is TutMFC01p.

My goal was to hide that STATIC TEXT when I click one of the buttons, and make it visible again when I click the same button again.
It took me some time to realize that I should not fiddle with the OK and Cancel buttons to add them this functionality, and clicking either of these two buttons also quits my app (hence, no chance to click again). So I placed a new button on the dialog and worked with that instead. Clicking my button while my app was running did absolutely nothing - which was exactly what I wanted.
Double-clicking my button in the Dialog Editor dropped me into Source Editor with a new function autogenerated at the bottom of TutMFC01pDlg.cpp.

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I have quite a bit of experience with Python programming in general, but am very new to neural networks and deep learning. After having gone through Tech With Tim's Mega AI course, I decided to create a neural network on my own. It's very simple - it takes in a name and outputs 0 or 1 depending on its gender - 0 = male, 1 = female.

Here is my complete code.

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