`reinterpret` ignores column stride of `view(ptr_array, 1:2, :)`

`reinterpret(reshape, SVector{2, Float64}, view(ptr_array, 1:2, :))` appears to ignore the column stride of the `PtrArray` view and reads contiguous pairs instead:
```julia
using StrideArraysCore
using StaticArrays

raw = collect(1.0:12.0)

ptr = PtrArray(pointer(raw), (3, 4))
view_ = view(ptr, 1:2, :)
copied_array = Array(view_)

svectors = reinterpret(reshape, SVector{2, Float64}, view_)
svectors_array = reinterpret(reshape, SVector{2, Float64}, copied_array)

println(collect(svectors))
println(collect(svectors_array))
```
Expected:
```julia
SVector{2, Float64}[[1.0, 2.0], [4.0, 5.0], [7.0, 8.0], [10.0, 11.0]]
SVector{2, Float64}[[1.0, 2.0], [4.0, 5.0], [7.0, 8.0], [10.0, 11.0]]
```
Actual:
```julia
SVector{2, Float64}[[1.0, 2.0], [3.0, 4.0], [5.0, 6.0], [7.0, 8.0]]
SVector{2, Float64}[[1.0, 2.0], [4.0, 5.0], [7.0, 8.0], [10.0, 11.0]]
```
Note that this is not a show/print bug:
```julia
julia> sum.(svectors)
4-element Vector{Float64}:
3.0
7.0
11.0
15.0

julia> sum.(svectors_array)
4-element Vector{Float64}:
3.0
9.0
15.0
21.0
```

Start by running the Julia reproducer with StrideArraysCore and StaticArrays, comparing reinterpret on the PtrArray view with reinterpret on copied_array. Trace the reinterpret(reshape, SVector{2, Float64}, ...) entry point and how it handles the view's column stride. Done means collect(svectors) and sum.(svectors) match the copied-array results.

Written by the indexing model from the issue text.