math.xxx calls in function on NumberProxy is not being traced.

@jjsjann123 is already working on this.

Since Jun 10, 2024.

## 🐛 Bug

As per title suggests, with symbolic values cache, NumberProxy operation via math.xxx calls are not traced.

### To Reproduce

```
import torch
import thunder
import math

def foo(a, b):
return math.fmod(a, b)

a = 1.2
b = 2.0

jfoo = thunder.jit(foo, cache="symbolic values")
out = jfoo(a, b)

print("\n\tcompute last trace:\n", thunder.last_traces(jfoo)[-1])
```

Looking at the trace below, we do not have `prims.fmod` in trace but it just baked in the result and this is wrong.
```
compute last trace:
# Constructed by Delete Last Used (took 0 milliseconds)
import torch
from thunder.executors.torchex import no_autocast

@torch.no_grad()
@no_autocast
def computation():
return 1.2
```