make unit tests pass

tests/test_envs.py

@@ -6,7 +6,6 @@ import torch
 from gymnasium.utils.env_checker import check_env
 
 import lerobot
-from lerobot.common.datasets.factory import make_dataset
 from lerobot.common.envs.factory import make_env
 from lerobot.common.envs.utils import preprocess_observation
 from lerobot.common.utils.utils import init_hydra_config
@@ -38,12 +37,14 @@ def test_factory(env_name):
         overrides=[f"env={env_name}", f"device={DEVICE}"],
     )
 
-    dataset = make_dataset(cfg)
-
     env = make_env(cfg, num_parallel_envs=1)
     obs, _ = env.reset()
     obs = preprocess_observation(obs)
-    for key in dataset.image_keys:
+
+    # test image keys are float32 in range [0,1]
+    for key in obs:
+        if "image" not in key:
+            continue
         img = obs[key]
         assert img.dtype == torch.float32
         # TODO(rcadene): we assume for now that image normalization takes place in the model