[Question] state dimension different from original gym.

[hskAlena]

In the gym FetchPush-v1, env.observation_space['observation'] outputs
Box(-inf, inf, (25,), float32)

However, when I print out 'observation' space length using enjoy.py,
it prints out 26.
`python enjoy.py --algo tqc --env FetchPush-v1

print(len(obs['observation'][0]))`

What makes the difference?
I'm using the agent's state output of enjoy.py, so the dimension should be the same.
Is this a bug or do I need to post-process the output before using it somewhere else?

System Info
Python version is 3.7.9
PyTorch version is 1.7.1

[araffin]

Hello,
if you take a look at TQC hyperparameters, it uses a time feature wrapper (see araffin/rl-baselines-zoo#79 and https://sb3-contrib.readthedocs.io/en/master/common/wrappers.html#timefeaturewrapper) which therefore adds an additional dimension to the input.
The enjoy.py script loads automatically the required wrappers.

[hskAlena]

Hello!
I didn't know there were similar questions previously, thanks for your kind reply! :)
I guess I can just get rid of the last dimension of state space then, like obs['observation'][0][:-1]

Again, thanks a lot!