Incorrect indexing when not using zero-based arrays

```julia
using LoopVectorization, Static
M,K,N = 3,4,5
A = view(fill(NaN,100,100), 11:10+M,11:10+K+1); A .= rand.();
B = view(fill(NaN,100,100), 11:10+N,11:10+K); B .= rand.();
C0 = view(zeros(100,100), 11:10+N, 11:10+M); C1 = deepcopy(C0);
function reference!(C,A,B)
K = lastindex(C,static(2))
for i_1 = indices((A, C), (1, 2))
for i_0 = indices((B, C), (1, 1))
begin
Caccum = zero(eltype(C))
for r_0 = axes(B, 2)
Caccum += A[i_1, r_0] * B[i_0, r_0]
end
C[i_0, i_1] = Caccum + ifelse(i_0 == firstindex(C, static(1)), A[i_1, K], zero(Caccum))
end
end
end
end
function turbo_fail!(C,A,B)
K = lastindex(C,static(2))
@turbo for i_1 = indices((A, C), (1, 2))
for i_0 = indices((B, C), (1, 1))
begin
Caccum = zero(eltype(C))
for r_0 = axes(B, 2)
Caccum += A[i_1, r_0] * B[i_0, r_0]
end
C[i_0, i_1] = Caccum + ifelse(i_0 == firstindex(C, static(1)), A[i_1, K], zero(Caccum))
end
end
end
end
reference!(C0,A,B); C0
turbo_fail!(C1,A,B); C1
C0 ≈ C1
C0 ≈ view(parent(C1), C1.indices[1] .+ 1, C1.indices[2])
using StrideArraysCore: PtrArray, zeroindex
turbo_fail!(zeroindex(PtrArray(C1)),zeroindex(PtrArray(A)),zeroindex(PtrArray(B))); C1
C0 ≈ C1
```
I get
```julia
julia> reference!(C0,A,B); C0
5×3 view(::Matrix{Float64}, 11:15, 11:13) with eltype Float64:
1.4703 1.87281 1.27726
0.870971 1.35742 0.975715
0.395836 1.33265 0.968053
0.219909 1.592 0.970622
0.719743 2.00412 1.42784

julia> turbo_fail!(C1,A,B); C1
5×3 view(::Matrix{Float64}, 11:15, 11:13) with eltype Float64:
0.0 0.0 0.0
1.4703 1.87281 1.27726
0.870971 1.35742 0.975715
0.395836 1.33265 0.968053
0.219909 1.592 0.970622

julia> C0 ≈ C1
false

julia> C0 ≈ view(parent(C1), C1.indices[1] .+ 1, C1.indices[2])
true

julia> using StrideArraysCore: PtrArray, zeroindex

julia> turbo_fail!(zeroindex(PtrArray(C1)),zeroindex(PtrArray(A)),zeroindex(PtrArray(B))); C1
5×3 view(::Matrix{Float64}, 11:15, 11:13) with eltype Float64:
1.4703 1.87281 1.27726
0.870971 1.35742 0.975715
0.395836 1.33265 0.968053
0.219909 1.592 0.970622
0.719743 2.00412 1.42784

julia> C0 ≈ C1
true
```
So with 1-based indexing, it is storing `C` at an offset of 1 in the dimension where we're using the index.
That is, LV converts `C` to use 0-based indexing, but uses 1-based indexing for `i_0` because `i_0` is used in an expression.

Reproduce the provided Julia example using reference! and turbo_fail!, focusing on the @turbo loop with offset views and indices. Compare the results for ordinary views with the zeroindex(PtrArray(...)) case; done means @turbo preserves the expected indexing and makes both comparisons pass.

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