That’s because inner_rows! returns nothing in this case
julia> t = @btime 1 + 1
0.017 ns (0 allocations: 0 bytes)
2
julia> t
2
One solution is to use @benchmark instead:
But, of course, the real solution is to grab the output from stdout and show that. In a bit of a hacky way, his can be done with IOCapture.jl and # hide comments
```jl
s = """
A = rand(100,100)
B = rand(100,100)
C = rand(100,100)
function inner_rows!(C,A,B)
for i in 1:100, j in 1:100
C[i,j] = A[i,j] + B[i,j]
end
end
c = IOCapture.capture() do # hide
@btime inner_rows!(C,A,B)
end # hide
return c.output # hide
"""
sco(s; post=output_block)
```
which shows on the webpage as:
Another way is to wrap the evaluation step at a later point:
```jl
s = """
A = rand(100,100)
B = rand(100,100)
C = rand(100,100)
function inner_rows!(C,A,B)
for i in 1:100, j in 1:100
C[i,j] = A[i,j] + B[i,j]
end
end
@btime inner_rows!(C,A,B)
"""
c = IOCapture.capture() do
sc(s)
end
return code_block(s) * "\n\n" * output_block(c.output)
```

