hash | C hash implementation based on khash | Hashing library

Here are two measurements:

I have updated node today and I'm getting this error:

I am using Perceptual hashing technique to find near-duplicate and exact-duplicate images. The code is working perfectly for finding exact-duplicate images. However, finding near-duplicate and slightly modified images seems to be difficult. As the difference score between their hashing is generally similar to the hashing difference of completely different random images.

To tackle this, I tried to reduce the pixelation of the near-duplicate images to 50x50 pixel and make them black/white, but I still don't have what I need (small difference score).

This is a sample of a near duplicate image pair:

Image 1 (a1.jpg):

Image 2 (b1.jpg):

The difference between the hashing score of these images is : 24

When pixeld (50x50 pixels), they look like this:

rs_a1.jpg

rs_b1.jpg

The hashing difference score of the pixeled images is even bigger! : 26

Below two more examples of near duplicate image pairs as requested by @ann zen:

Pair 1

Pair 2

The code I use to reduce the image size is this :

I got this error when learning Next.js, using npx create-next-app command according to site documentation here https://nextjs.org/docs/api-reference/create-next-app. Everything works until I start the server,

Error stack:

When I do this it works (these are the last 4 lines before the end of a method TWEAK. However, my first attempt had no line #3 and failed because %!columns was empty...

[I ran into the issues that prompted this question and my previous question at the same time, but decided the two questions deserve to be separate.]

The docs describe using destructuring assignment with my and our variables, but don't mention whether it can be used with has variables. But Raku is consistent enough that I decided to try, and it appears to work:

Whenever I am trying to run the docker images, it is exiting in immediately.

I am trying to find a more efficient solution to a combinatorics problem than the solution I have already found.

Suppose I have a set of N objects (indexed 0..N-1) and wish to consider each subset of size K (0<=K<=N). There are S=C(N,K) (i.e., "N choose K") such subsets. I wish to map (or "encode") each such subset to a unique integer in the range 0..S-1.

Using N=7 (i.e., indexes are 0..6) and K=4 (S=35) as an example, the following mapping is the goal:
0 1 2 3 --> 0
0 1 2 4 --> 1
...
2 4 5 6 --> 33
3 4 5 6 --> 34

N and K were chosen small for the purposes of illustration. However, in my actual application, C(N,K) is far too large to obtain these mappings from a lookup table. They must be computed on-the-fly.

In the code that follows, combinations_table is a pre-computed two-dimensional array for fast lookup of C(N,K) values.

All code given is compliant with the C++14 standard.

If the objects in a subset are ordered by increasing order of their indexes, the following code will compute that subset's encoding:

Every time I sign something, it display the next error: