bin | ActiveSupport MongoDB Cache store | Caching library

You can use a for loop, with the range function to create a list of ids:

You could loop through the bars and test whether it is completely to the right of the separation, completely to the left or crosses it. You change the bar's color correspondingly.

When a bar crosses the separator, the bar gets the color for the left area and its size is narrowed to touch the separator. A copy of the bar can be added, with the right-area color and its x-position moved.

be aware I don't have a Windows machine against which to try this, so it's just "best effort"

As best I can tell, your problem is because you are trying to recreate the behavior of win_shell by "manually" invoking that improperly quoted cmd.exe /c business, ending up with cmd.exe /c "cmd.exe /c whatever"; dialing up the ansible verbosity -vv could confirm or deny that pattern

Also, the win_shell docs say to use win_command: unless you have a shell redirect need, which as written your task does not.

I resorted to using the community module for elastic ip. So community.aws.ec2_eip instead of ec2_eip.

Please enable the quarkus-smallrye-jwt TRACE logging to see why the tokens are rejected. And indeed, as you have also found out, https protocol needs to be enabled in the native image, which can be done, as you have shown :-), by adding --enable-url-protocols=https to the native profile's properties in pom.xml.

This PR will ensure adding it manually won't be required.

thanks

On Windows, the software that runs the Android Emulator is called "qemu-system-x86_64.exe".

Try to kill this software. You can use the built-in taskkill utility from within the Command Prompt:

1. Open the Command Prompt (Type in CMD into the Windows search)
2. Enter: taskkill /F /IM "qemu-system-x86_64.exe" /T

Explanation of the taskkill command:

Pythons multiprocessing package is limited to shared memory parallelization. It spawns new processes that all have access to the main memory of a single machine.

You cannot simply scale out such a software onto multiple nodes. As the different machines do not have a shared memory that they can access.

To run your program on multiple nodes at once, you should have a look into MPI (Message Passing Interface). There is also a python package for that.

Depending on your task, it may also be suitable to run the program 4 times (so one job per node) and have it work on a subset of the data. It is often the simpler approach, but not always possible.

I would recommend using /action:Script (see here) to see which actions it will perform, most likely this will give you some clue as to which flags should be set/cleared.

-- Edit According to this old answer you can disable deploying the database properties when designing the .dacpac.
If you want to override this behaviour when publishing the .dacpac, you should probably use the ScriptDatabaseOptions property - see the whole list of switches here.