`python_print` doesn't work as expected

## 🐛 Bug

### To Reproduce

Issue 1:

```python
import thunder
import torch
from thunder.core import prims

class MyModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.linears = torch.nn.ModuleList(torch.nn.Linear(1, 1) for _ in range(3))

def forward(self, x):
for l in self.linears:
prims.python_print("l")
prims.python_print(x.sum())
x = l(x)
return x

fn = MyModel()
x = torch.randn(10, 1)
fn = thunder.jit(fn, disable_torch_autograd=True)
fn(x)
```

Output:

```python
tensor(2.7485)
tensor(6.1350)
tensor(-3.8157)
```

`l` is missing

Issue 2:

```python
import thunder
import torch
from thunder.core import prims

class MyModel(torch.nn.Module):
def __init__(self):
super().__init__()
self.linears = torch.nn.ModuleList(torch.nn.Linear(1, 1) for _ in range(3))

def forward(self, x):
prims.python_print("l0")
prims.python_print(x.sum())
x = self.linears[0](x)
prims.python_print("l1")
prims.python_print(x.sum())
x = self.linears[1](x)
prims.python_print("l2")
prims.python_print(x.sum())
x = self.linears[2](x)
return x

fn = MyModel()
x = torch.randn(10, 1)
fn = thunder.jit(fn, disable_torch_autograd=True)
fn(x)
```

Output:

```python
l0
l1
l2
tensor(-1.1433)
tensor(8.6309)
tensor(-3.1484)
```

### Expected behavior

The prints should appear where they should, as many times as they should.

Start at thunder.core.prims.python_print and trace how calls are captured and emitted by thunder.jit. Reproduce both examples to compare string and tensor output ordering and repetition. Done means the printed values appear in source order and execute once per loop iteration as expected.

Written by the indexing model from the issue text.