coded | Continuous Degradation Detection on the Google

When you run codesign -d --verbose=5 your_app.app, how many lines do you see in the "page size" block? Do you see a -7= line? If so, does it contain no value (or 0)?

If there is no -7= line (or it has no value) then your app does not include the DER entitlements and you will need to re-sign. You might need a new provisioning profile.

Does it make sense to iterate through layers like this and keep adding files (to some target, does not matter for now) and deleting the added files in case they are found with a .wh prefix? Or am I totally off and is there a much better way?

There is a much better way, you do not want to reimplement (with worse performances) what Docker already does. The main reason is that Docker uses a mount filesystem called overlay2 by default that allows the creation of images and containers leveraging the concepts of a Union Filesystem: lowerdir, upperdir, workdir and mergeddir.

What you might not expect is that you can reproduce an image or container building process using the mount command available in almost any Unix-like machine.

I found a very interesting article that explains how the overlay storage system works and how Docker internally uses it, I highly recommend the reading.

Actually, if you have read the article, the solution is there: you can mount the image data you have by docker inspecting its LowerDir, UpperDir, WorkDir and by setting the merged dir to a custom path. To make the process simpler, you can run a script like:

One work around would be to use your map2_dfr code, but then bind the columns that are needed to the map2_dfr output. Though you still have to drop the names column.

This is what I think, You are passing Messages in ChatSection and that means that when Messages get updated ChatSection will rerender and all its children will rerender too.

So here is my idea remove Messages from ChatSection and only add it in Chat.

You already using useChatService in Chat so adding Messages there should be better.

Try this and gets back too us if it working.

If still not as you like it to be there is also other way we could fix it.

But you have to create a working example for us so we could have a look and make small changes.

There appears to be something very wrong with the calculated GC CPU time. It's 41010 secs compared to 2737 sec elapsed, which doesn't make sense if you're only running on three capabilities.

This miscalculation means that the calculated MUT CPU time, which is just total CPU time minus INIT, GC, and EXIT time, is actually a large negative number (5073-41010-2 = -35939). This gives a productivity of -35939/5073=-708%. When the MUT seconds are displayed, negative numbers are truncated at zero, to avoid reporting small negative numbers when MUT is very low and there's a clock precision error, which is why the displayed MUT time is 0 instead of -35939.

I don't know why the GC time is so badly miscalculated. My best guess is this. If you're running on Windows, there are known issues with CPU time clock precision, and it's possible that certain unusual patterns of garbage collection timing might result in precision errors occuring in only one direction, slightly overestimating the actual GC time more often than it underestimates it. Over 2.4 million collections (see your GC stats), this difference could accumulate to a huge positive error.

I looked through GitLab issues, and except for the report on general Windows CPU time imprecision and a couple of probably unrelated negative MUT reports here and here, I didn't see anything helpful.

Take a look at the recursive formula for combinations:

Suppose you have a combination space C(n,k). You can divide that space into two subspaces:

• C(n-1,k-1) all combinations, where the first element of the original set (of length n) is present
• C(n-1, k) where first element is not preset

If you have an index X that corresponds to a combination from C(n,k), you can identify whether the first element of your original set belongs to the subset (which corresponds to X), if you check whether X belongs to either subspace:

• X < C(n-1, k-1) : belongs
• X >= C(n-1, k-1): doesn't belong

Then you can recursively apply the same approach for C(n-1, ...) and so on, until you've found the answer for all n elements of the original set.

Python code to illustrate this approach:

One option to achieve your desired result would be to use stat="bin" in geom_text too. Additionally we have to group by year so that each year is a separate "block". The tricky part is to get the year labels for which I make use of after_stat. However, as the groups are stored internally as an integer sequence we have them back to the corresponding years for which I make use of a helper vector.

Posting comment as the community wiki answer for better visibility

This issue was due to kubelet certificate expired and fixed following these steps. If someone faces this issue, make sure /var/lib/kubelet/pki/kubelet-client-current.pem certificate and key values are base64 encoded when placing on /etc/kubernetes/kubelet.conf

Edited: For people who use Cocoapods, this answer might be useful: https://stackoverflow.com/a/69384358/587609

I also faced this issue, and it seems that there is a known issue on Xcode 13 as mentioned in this document: https://developer.apple.com/documentation/Xcode-Release-Notes/xcode-13-release-notes

Swift libraries depending on Combine may fail to build for targets including armv7 and i386 architectures. (82183186, 82189214)

Workaround: Use an updated version of the library that isn’t impacted (if available) or remove armv7 and i386 support (for example, increase the deployment target of the library to iOS 11 or higher).

If your app is for iOS 11 or higher, one of the libraries should be modified to target iOS 11 or higher (e.g., my app is for iOS 12 or higher).

For example, I am using GRDB.swift, and its minimum iOS version is 10.0. There was a discussion as an issue of this repo, and I followed that comment to solve this issue as follows:

1. Fork the repository
2. Change Package.swift to modify the minimum iOS version like: