DDIMScheduler.step() logic mismatches set_timesteps() list when using timestep_spacing='linspace'

### Describe the bug

The step() function calculates prev_timestep using a hard-coded formula:
`prev_timestep = timestep - self.config.num_train_timesteps // self.num_inference_steps.`
https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_ddim.py#L402

However, if the scheduler is initialized with timestep_spacing="linspace", the preve_timestep is not match the set_timesteps.

Suggested Method to Fix:
This inconsistency could be resolved by modifying the step() function to look up the correct prev_timestep from the self.timesteps list directly, just as in DDPMScheduler.
https://github.com/huggingface/diffusers/blob/main/src/diffusers/schedulers/scheduling_ddpm.py#L549

### Reproduction

```
scheduler = DDIMScheduler.from_pretrained(model_id, subfolder='scheduler', timestep_spacing="linspace")
scheduler.set_timesteps(10)
prev_timesteps = []
for t in scheduler.timesteps:
prev_t = t- 1000 // num_inference_steps
prev_timesteps.append(prev_t.item())
```

### Logs

```shell

```

### System Info

Diffusers version: 0.35.2

### Who can help?

_No response_

Inizia in src/diffusers/schedulers/scheduling_ddim.py, in DDIMScheduler.step(), e confronta il calcolo del timestep precedente con la ricerca utilizzata in src/diffusers/schedulers/scheduling_ddpm.py. Esegui la riproduzione di linspace con set_timesteps(10) e verifica che step() segua la voce corrispondente di self.timesteps per ogni timestep.

Scritto dal modello di indicizzazione a partire dal testo della issue.