How come that 30% (on the right-hand side) of the CPU performance profile here is not accounted for?

This is in the preview version of the (VS) Code Julia extension, with Julia 1.9.0-rc2, on Linux.

This seems reproducible so far, so here’s a script if someone wants to reproduce:

```
# Might be too small, some runs fail with Tulip's ITERATION_LIMIT
setprecision(BigFloat, 6 * 2^7)
import FindMinimaxPolynomial, Tulip, MathOptInterface
const FMP = FindMinimaxPolynomial
const MMX = FMP.Minimax
const mmx = MMX.minimax_polynomial
const MOI = MathOptInterface
function make_lp()
lp = Tulip.Optimizer{BigFloat}()
MOI.set(lp, MOI.RawOptimizerAttribute("IPM_IterationsLimit"), 2000)
MOI.set(lp, MOI.RawOptimizerAttribute("Presolve_Level"), 0)
lp
end
monomials_4_odd = 1:2:7
itv_sin = (big"0.1", big"0.2");
@profview mmx(
make_lp,
sin,
(itv_sin,),
monomials_4_odd,
);
@profview mmx(
make_lp,
sin,
(itv_sin,),
monomials_4_odd,
);
```

I used the development version of the `FindMinimaxPolynomial`

package, commit `0161913770ed36a5ca79f87be7dc8c99bfc10800`

on the `main`

branch. EDIT: a new version, v0.2.1, is now registered with the general registry, adding the package is enough.

EDIT: increasing the `n`

parameter with `Profile.init`

doesn’t help.