Environment creates the same scenario between resets

Consider this minimal example:

import gym
from gym.envs.registration import register

register(
	id='simglucose-adult001-v0',
		entry_point='simglucose.envs:T1DSimEnv',
		kwargs={'patient_name': 'adult#001'}
	)
env = gym.make('simglucose-adult001-v0')
env.seed(0)

env.reset()
>>> Observation(CGM=126.63092222821054)

env.reset()
>>> Observation(CGM=126.63092222821054)

The environment produces the same scenario Observation(CGM=126.63092222821054) on reset(), even on changing the seed unless I make the environment again. This shouldn’t be the case as it keeps on generating the same episode.

Is this a potential bug, or am I missing something here? @jxx123

[jxx123]

@sumanabasu Thank you so much for your comments!

• Re: moving this line to __init__, actually this line in __init__ will call _seed() function.
• Re: my plan for generating the new episode, my plan is of course as you said changing those 2 seeds deterministically. Then this start_time will be regenerated. My next plan is to make the initial BG settable (see this issue). And set the initial BG randomly based on the seed.
• Re the patient parameters: the patient parameters are saved in this file. If you want to change the parameters, this is the place to change it.
• Thanks a lot if you want to contribute to a better documentation! Feel free to shoot me PRs.

[jxx123]

The fix is in. Will make the initial BG settable in another PR.