*This post is part of a series on Mohammad Anwar’s excellent Weekly Challenge, where hackers submit solutions in Perl, Raku, or any other language, to two different challenges every week. (It’s a lot of fun, if you’re into that sort of thing.)*

Task #1 this week is as follows:

*Write a script to rotate the following matrix by given 90/180/270 degrees clockwise.*

```
[ 1, 2, 3 ]
[ 4, 5, 6 ]
[ 7, 8, 9 ]
```

At first glance, I thought this was a simple matrix transpose, which is what you get when you swap the rows and columns of a matrix. The transposition (^{T}) of the example matrix would give us:

1 & 2 & 3 \\

4 & 5 & 6 \\

7 & 8 & 9

\end{pmatrix}^\text{T} = \begin{pmatrix}

1 & 4 & 7 \\

2 & 5 & 8 \\

3 & 6 & 9

\end{pmatrix}

\)

But the task asks us to rotate clockwise, which would instead give:

7 & 4 & 1 \\

8 & 5 & 2 \\

9 & 6 & 3

\end{pmatrix}

\)

We still have to swap the rows and columns; they are just in a different order that we’ll address later.

The task does say “rotate the following matrix,” seeming to imply that we only need to handle this one, specific input. I decided to support arbitrary matrix shapes. Any whole number height/width will work.

## Perl

No matter what we do, we need to change every row and column, so the best we can do is O(n^{2}) time.

I do a standard matrix transpose, but I `reverse`

the input rows first. This cancels out the horizontal mirroring after the matrix is transposed:

```
sub rotate_cw {
my @A = reverse @{$_[0]};
my @T;
for my $x (0..$#A) {
$T[$_][$x] = $A[$x][$_] for 0..$#{$A[0]};
}
\@T;
}
```

That takes care of the single clockwise rotation. The 180- and counter-clockwise (or anti-clockwise) rotations can be done in terms of `rotate_cw`

:

```
sub rotate180 { rotate90_cw( rotate90_cw (@_) ) }
sub rotate_ccw { rotate90_cw( rotate180( @_) ) }
```

Note that `rotate_ccw`

is **not** equivalent to a standard matrix transpose! Remember, the clockwise rotation we’re doing is the mirror image of a transpose, not a rotation in the opposite direction.

Implementing `rotate_180`

and `rotate_ccw`

as custom functions would be faster by a factor of 2 or 3 respectively. However, the code would be very similar to `rotate_cw`

, so I decided this way was a little less boring. If I was going for speed, I’d probably use XS.

I added a few test cases to check various matrix shapes, including 1×N and M×1.

## Raku

Had we been asked to do a standard matrix transformation, the Raku code is a single operator:

```
[Z] @A
```

To get a clockwise rotation instead, as with the Perl solution, it’s very easy to simply `reverse`

the input rows:

```
[Z] @A.reverse
```

These two rotations *almost* work perfectly. Unfortunately, 1×N matrices misbehave. Given \(\begin{pmatrix}

1 & 2

\end{pmatrix}\), it would return \(\begin{pmatrix}

2 & 1

\end{pmatrix}\), but I would expect \(\begin{pmatrix}

1 \\

2

\end{pmatrix}\). The error occurs because of list flattening. There are a few ways to fix this, but in order to keep the inputs reasonably flexible, I opted to simply use a `multi sub`

to define a special case for the 1×N matrices. All together, `rotate-cw`

looks like this:

```
multi sub rotate-cw(@A) { [Z] @A.reverse }
multi sub rotate-cw(@A where !*[0].isa("List")) { @A.map: { [$_] } }
```

The `180`

and `ccw`

subs, again, can be done with repeated calls to `rotate-cw`

:

```
sub rotate180(@A) { rotate-cw( rotate-cw(@A) ) }
sub rotate-ccw(@A) { rotate180( rotate-cw(@A) ) }
```

Here are a few of the test cases, to give you a sense of what the inputs and outputs look like:

```
is-deeply rotate-cw((1,2; 3,4; 5,6)), (5,3,1; 6,4,2); # MxN
is-deeply rotate-cw((1,2,3)), ([1],[2],[3]); # 1xM
```

Of course, non-numeric arguments work just as well (true of the Perl version, as well):

```
is-deeply rotate-cw(('a','b','c'; 'd','e','f')), ('d','a'; 'e','b'; 'f','c');
```