Introduction
For the purposes of this challenge, we will define the neighbours of an element \$E\$ in a square matrix \$A\$ (such that \$E=A_{i,j}\$) as all the entries of \$A\$ that are immediately adjacent diagonally, horizontally or vertically to \$E\$ (i.e. they "surround" \$E\$, without wrapping around).
For pedants, a formal definition of the neighbours of \$A_{i,\:j}\$ for an \$n\times n\$ matix \$A\$ is (0-indexed): $$N_{i,\:j}=\{A_{a,\:b}\mid(a,b)\in E_{i,\:j}\:\cap\:([0,\:n)\:\cap\:\Bbb{Z})^2\}$$ where $$E_{i,\:j}=\{i-1,\:i,\:i+1\}\times \{j-1,\:j,\:j+1\} \text{ \\ } \{i,\:j\}$$
Let's say that the element at index \$i,\:j\$ lives in hostility if it is coprime to all its neighbours (that is, \$\gcd(A_{i,\:j},\:n)=1\:\forall\:n\in N_{i,\:j}\$). Sadly, this poor entry can't borrow even a cup of sugar from its rude nearby residents...
Task
Enough stories: Given a square matrix \$M\$ of positive integers, output one of the following:
- A flat list of elements (deduplicated or not) indicating all entries that occupy some indices \$i,j\$ in \$M\$ such that the neighbours \$N_{i,\:j}\$ are hostile.
- A boolean matrix with \$1\$s at positions where the neighbours are hostile and \$0\$ otherwise (you can choose any other consistent values in place of \$0\$ and \$1\$).
- The list of pairs of indices \$i,\:j\$ that represent hostile neighbourhoods.
Reference Implementation in Physica – supports Python syntax as well for I/O. You can take input and provide output through any standard method and in any reasonable format, while taking note that these loopholes are forbidden by default. This is code-golf, so the shortest code in bytes (in every language) wins!
Moreover, you can take the matrix size as input too and additionally can take the matrix as a flat list since it will always be square.
Example
Consider the following matrix:
$$\left(\begin{matrix} 64 & 10 & 14 \\ 27 & 22 & 32 \\ 53 & 58 & 36 \\ \end{matrix}\right)$$
The corresponding neighbours of each element are:
i j – E -> Neighbours | All coprime to E?
|
0 0 – 64 -> {10; 27; 22} | False
0 1 – 10 -> {64; 14; 27; 22; 32} | False
0 2 – 14 -> {10; 22; 32} | False
1 0 – 27 -> {64; 10; 22; 53; 58} | True
1 1 – 22 -> {64; 10; 14; 27; 32; 53; 58; 36} | False
1 2 – 32 -> {10; 14; 22; 58; 36} | False
2 0 – 53 -> {27; 22; 58} | True
2 1 – 58 -> {27; 22; 32; 53; 36} | False
2 2 – 36 -> {22; 32; 58} | False
And thus the output must be one of the following:
{27; 53}{{0; 0; 0}; {1; 0; 0}; {1; 0; 0}}{(1; 0); (2; 0)}
Test cases
Input –> Version 1 | Version 2 | Version 3
[[36, 94], [24, 69]] ->
[]
[[0, 0], [0, 0]]
[]
[[38, 77, 11], [17, 51, 32], [66, 78, 19]] –>
[38, 19]
[[1, 0, 0], [0, 0, 0], [0, 0, 1]]
[(0, 0), (2, 2)]
[[64, 10, 14], [27, 22, 32], [53, 58, 36]] ->
[27, 53]
[[0, 0, 0], [1, 0, 0], [1, 0, 0]]
[(1, 0), (2, 0)]
[[9, 9, 9], [9, 3, 9], [9, 9, 9]] ->
[]
[[0, 0, 0], [0, 0, 0], [0, 0, 0]]
[]
[[1, 1, 1], [1, 1, 1], [1, 1, 1]] ->
[1, 1, 1, 1, 1, 1, 1, 1, 1] or [1]
[[1, 1, 1], [1, 1, 1], [1, 1, 1]]
[(0, 0), (0, 1), (0, 2), (1, 0), (1, 1), (1, 2), (2, 0), (2, 1), (2, 2)]
[[35, 85, 30, 71], [10, 54, 55, 73], [80, 78, 47, 2], [33, 68, 62, 29]] ->
[71, 73, 47, 29]
[[0, 0, 0, 1], [0, 0, 0, 1], [0, 0, 1, 0], [0, 0, 0, 1]]
[(0, 3), (1, 3), (2, 2), (3, 3)]
