libyaml | Canonical source repository for LibYAML | YAML Processing library

I would like to update YAML file values in Python without losing formatting and comments in Python. For example I would like to tranform

YAML file

Environment Information:

My playbook:

I am fairly new to Ansible and have now started automating some repetitive Windows administration tasks.

As a controller I use a Debian 11 VM where I have only Ansible and pywinrm installed. My test target is a Windows Server 2016 and everything works fine, I can install programs, create users or copy files. The only thing that does not work is the module "win_updates".

I get the following message back when I call win_updates.

I'm using Python 3.10.1 and I've installed Ansible using PIP version 21.2.4

ansible --version returns the following

I'm having trouble finding info on this. I've seen numerous posts about sharing data between scripts running in the same environment, but not between environments.

I'm using Anaconda, and 16 envs that use several different python versions—python 3.5 to 3.8-for running various scripts/apps. I'm now working on shell scripts and a master python script that will control the launching of other envs, launching scripts, opening OS native apps and automating scripted tasks, and all will be saving, moving, and accessing data from several master folders on the same machine. I suppose the master script will behave like a mini server, and it also lives in its own env.

What I'm trying to figure out is if there's a way to easily pipe data between the environments, or do I have to store things in yaml or JSON files that they can all access (such as passing custom environment variables from the master env to all the others, or one script letting another know when it has completed, or detecting when a specific terminal window has closed)?

I don't need most scripts to share data between each other directly. I need to have feedback sent from the other envs to the master script that will be in control of everything and print output in its terminal window and fire up shell scripts. I need that master script to communicate with the other envs/scripts to give them new tasks and to load up the envs themselves, and so it knows that it's time to do something else—basically event listener and even handler stuff (I assume) along with watch folders. Most of them will run consecutively. Some scripts will be run at the same time from their own shells from the same environment, processing different data, and at times the master script (or an individual script) will pause and await user feedback in the master script terminal.

It might sound more complicated than it really is as most things happen linearly and the data that needs to be shared is small events and variables. One thing starts and finishes, a watch folder sees new files and the master fires up a new env and launches a script to process them, then the next kicks off, then the next, then 4 of the same thing kick off, then an app opens and runs a task and closes, then user is prompted how to proceed to choose which task runs next, etc. etc..

I found these packages which seem promising for some of the tasks:

• python-dotenv and python-dotenv[cli]
• watchdog and watchdog[watchmedo]
• PyYAML
• libyaml
• appscript
• inquirer
• simplejson
• cliclick (mac os Terminal commands for executing keyboard commands and mouse movements)

Creating lambda functions seems to be an easy way for executing os/system commands with python. Right now I just need to find the way to get all of these things talking to the master and vice versa, and sharing some data. One app uses jupyter lab, and I'm not sure if it's easy to automate that from another env/script.

I don't need something with a GUI like jupyter lab, and I honestly don't like its UI, and prefer to use a single master terminal window with some simple user input options.

A point in the right direction would be greatly appreciated.

I have a docker-compose file which uses a Dockerfile to build the image. In this image (Dockerfile) I created the folder /workspace which I'd like to bind mount for persistence in my local filesystem.

After the docker-compose up, the folder is empty if I bind mount, but if I do not mount this folder everything works fine (and the folder exist with all the files I added).

This is my docker-compose.yml:

I have a program that exhibits the behavior of a memory leak. It gradually takes up all of the systems memory until it fills all swap space and then the operating system kills it. This happens once every several days.

I have extensively profiled the heap in a manner of ways (-hy, -hm, -hc) and tried limiting heap size (-M128M) tweaked the number of generations (-G1) but no matter what I do the heap size appears constant-ish and low always (measured in kB not MB or GB). Yet when I observe the program in htop, its resident memory steadily climbs.

What this indicates to me is that the memory leak is coming from somewhere besides the GHC heap. My program makes use of dependencies, specifically Haskell's yaml library which wraps the C library libyaml, it is possible that the leak is in the number of foreign pointers it has to objects allocated by libyaml.

My question is threefold:

1. What places besides the GHC heap can memory leak from in a Haskell program?
2. What tools can I use to track these down?
3. What changes to my source code need to be made to avoid these types of leaks, as they seem to differ from the more commonly experienced space leaks in Haskell?

I am trying to install ROS Melodic using the instructions on wiki.ros.org and stumbled upon some problems.

System software information:

Operating System: Kubuntu 21.10

KDE Plasma Version: 5.22.5

KDE Frameworks Version: 5.86.0

Qt Version: 5.15.2

Kernel Version: 5.13.0-19-generic (64-bit)

Graphics Platform: X11

I have first followed steps from http://wiki.ros.org/melodic/Installation/Ubuntu and later followed the steps from https://varhowto.com/install-ros-melodic-ubuntu-18-04/#Step_1_%E2%80%94_Install_ROS_Melodic_repo , both with unsuccessful results.

When running sudo apt update I am getting: