import pytest
import torch

from lerobot.common.optim.optimizers import AdamConfig
from lerobot.common.optim.schedulers import VQBeTSchedulerConfig


@pytest.fixture
def model_params():
    return [torch.nn.Parameter(torch.randn(10, 10))]


@pytest.fixture
def optimizer(model_params):
    optimizer = AdamConfig().build(model_params)
    # Dummy step to populate state
    loss = sum(param.sum() for param in model_params)
    loss.backward()
    optimizer.step()
    return optimizer


@pytest.fixture
def scheduler(optimizer):
    config = VQBeTSchedulerConfig(num_warmup_steps=10, num_vqvae_training_steps=20, num_cycles=0.5)
    return config.build(optimizer, num_training_steps=100)