clue | command line tool for Apache Lucene

Update: Since GitHub pull request #93755 has been merged, comparison between Vecs with different allocators is now possible.

Original answer:

Vec uses the std::alloc::Global allocator by default, so Vec is in fact Vec. Since Vec and Vec are indeed distinct types, they cannot directly be compared because the PartialEq implementation is not generic for the allocator type. As @PitaJ commented, you can compare the slices instead using assert_eq!(&a[..], &b[..]) (which is also what the author of the allocator API recommends).

Top-level await must be used in combination with Suspense (which is experimental).

You should be able to just do it in onBeforeMount. Not as elegant; but a solid solution. Something like this:

Here's a way using separate_rows:

It's a bit confusing. First, you'll need to import UniformTypeIdentifiers. Then, replace kUTTypeImage with UTType.image (the Swift version of UTTypeImage).

It is a bug, you can downgrade using:

pip install "pip<22"

https://github.com/jazzband/pip-tools/issues/1558

No, not until closure HRTB inference is fixed. Current workarounds include using function pointers instead or implementing a helper trait on custom structs -- the helper trait is needed regardless of approach until higher-kinded types are introduced in Rust.

Playground

To avoid returning a Box, you would need the type parameter I to be generic over the lifetime 'a, so that you can use it with any lifetime (in a for<'a> bound, for example). Unfortunately, as discussed in a similar question, Rust does not yet support higher-kinded types (type parameters that are themselves generic over other type parameters), so we must use a helper trait:

You can use a 2D FFT to find the general direction in which the crop is aligned (as proposed by mozway in the comments). The idea is that the general direction can be easily extracted from centred beaming rays appearing in the magnitude spectrum when the input contains many lines in the same direction. You can find more information about how it works in this previous post. It works directly with the input image, but it is better to apply the Gaussian + Canny filters.

Here is the interesting part of the magnitude spectrum of the filtered gray image:

The main beaming ray can be easily seen. You can extract its angle by iterating over many lines with an increasing angle and sum the magnitude values on each line as in the following figure:

Here is the magnitude sum of each line plotted against the angle (in radian) of the line:

Based on that, you just need to find the angle that maximize the computed sum.

Here is the resulting code:

Since you mention executing the same files (with proper performance) from within Git Bash, I'm going to make an assumption here. Correct me if I'm wrong on this, and I'll delete the answer and look for another possibility.

This would be explained (and expected) if your files are stored on /mnt/c (a.k.a. C:, or /C under Git Bash) or any other Windows drive, as they would likely need to be to be accessed by Git Bash.

WSL2 uses the 9P protocol to access Windows drives, and it is currently known to be very slow when compared to:

• Native NTFS (obviously)
• The ext4 filesystem on the virtual disk used by WSL2
• And even the performance of WSL1 with Windows drives

I've seen a git clone of a large repo (the WSL2 Linux kernel Github) take 8 minutes on WSL2 on a Windows drive, but only seconds on the root filesystem.

Two possibilities:

• If possible (and it is for most Node projects), convert your WSL to version 1 with wsl --set-version 1. I always recommend making a backup with wsl --export first.

  And since you are making a backup anyway, you may as well just create a copy of the instance by wsl --importing your backup as --version 1 (as the last argument). WSL1 and WSL2 both have their uses, and you may find it helpful to keep both around.

  See this answer for more details on the exact syntax..

• Or just move the project over to somewhere under the WSL root, such as /home/username/src/.

I made this code but it doesn't check all possibilities , but I think its a good start :