lock | A flexible , driver based Acl package for PHP | Authorization library

Found the problem.
I was installing pandas_profiling, and this package updated pyyaml to version 6.0 which is not compatible with the current way Google Colab imports packages.
So just reverting back to pyyaml version 5.4.1 solved the problem.

For more information check versions of pyyaml here.
See this issue and formal answers in GitHub

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For reverting back to pyyaml version 5.4.1 in your code, add the next line at the end of your packages installations:

You are using react-router-dom version 6, which replaced Switch with the Routes component

I would propose to take a look in the RateLimiter direction. Maybe it does not work as expected, depending on the number of requests your application does over time. From the Javadoc for Ratelimiter: "It is important to note that the number of permits requested never affects the throttling of the request itself ... but it affects the throttling of the next request. I.e., if an expensive task arrives at an idle RateLimiter, it will be granted immediately, but it is the next request that will experience extra throttling, thus paying for the cost of the expensive task." Also helpful might be this discussion: github or github

I could imaginge there is some throttling adding up or other effect in the RateLimiter, i would try to play around with it and make sure this thing really works the way you want. Alternatively, consider using Spring @Scheduled to read from your queue. You might want to spice it up using embedded JMS for further goodies (message persistence etc).

Terraform AWS Provider is upgraded to version 4.0.0 which is published on 10 February 2022.

Major changes in the release include:

• Version 4.0.0 of the AWS Provider introduces significant changes to the aws_s3_bucket resource.
• Version 4.0.0 of the AWS Provider will be the last major version to support EC2-Classic resources as AWS plans to fully retire EC2-Classic Networking. See the AWS News Blog for additional details.
• Version 4.0.0 and 4.x.x versions of the AWS Provider will be the last versions compatible with Terraform 0.12-0.15.

The reason for this change by Terraform is as follows: To help distribute the management of S3 bucket settings via independent resources, various arguments and attributes in the aws_s3_bucket resource have become read-only. Configurations dependent on these arguments should be updated to use the corresponding aws_s3_bucket_* resource. Once updated, new aws_s3_bucket_* resources should be imported into Terraform state.

So, I updated my code accordingly by following the guide here: Terraform AWS Provider Version 4 Upgrade Guide | S3 Bucket Refactor

The new working code looks like this:

You are using 16.10.0, but the message says it requires 16.0.0. Not 16.0.0 or greater. It requires exactly 16.0.0.

If it's your package.json with the engines field causing this issue, change it to say 16.0.0 or greater:

Reading a memory address does not clear the cache line.

Writing does.

So in a modern computer, there is RAM, and there are multiple layers of cache "around" the CPU (they are called L1, L2 and L3 cache, but the important part is that they are layers, and the CPU is at the middle). In a multi-core system, often the outer layers are shared; the innermost layer is usually not, and is specific to a given CPU.

Clearing the cache line means informing every other cache holding this memory "the data you own may be stale, throw it out".

Test and set writes true and atomically returns the old value. It clears the cache line, because it writes.

Test does not write. If you have another thread unsynchronized with this one, it reading the cache of this memory doesn't have to be poked.

The outer loop writes true, and exits if it replaced false. The inner loop waits until there is a false visible, then falls to outer loop. The inner loop need not clear every other cpu's cache status of the value of the atomic flag, but the outer has to (as it could change the false to true). As spinning could go on for a while, avoiding continuous cache clearing seems like a good idea.

I ran into this also. Not sure why, but they yanked the 7.x versions and regressed to 0.8.x:

https://rubygems.org/gems/turbo-rails/versions/7.1.1

Just add this to your Gemfile:

I don't know if it may be the right approach for you, but what I did is downgrade my version of MySQL Workbench to 6.3 and uninstalled the previous version and it will then give you the "if available" option for SSL. As you are right, it is not the case for previous versions, however you do lose a few more modern features in the process.

https://downloads.mysql.com/archives/workbench/

Another solution as well is to connect to connect to the database in 6.3 and since the configuration saves are in same location, upgrade to 8.0 where it will still have the old configuration file and won't use SSL due to backwards compatibility.

According to https://github.com/python-poetry/poetry/issues/4163, it seems to be an issue still pending to be resolved.

As a workaround, dumping dependencies to a requirements.txt file via poetry: