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There could be an issue with intervention policies, policy seems to be applied at x + 1 time and doesn't reach the stated policy number at least in the following example.
I have intervention policies applied on state D at time 10 at the value 3500 and time 40 at the value 3800:
I will create a notebook to test this
I suspect that this is an issue for the ciemss team as our converter service/models/converters.py just uses the timestep provided so im not sure why it would be off by one
Link to project: https://app.staging.terarium.ai/projects/ac6fe22c-8f07-4acc-968f-6594671db2f6/workflow/49119674-bf50-4786-a343-7a06da6fc998?operator=383928ff-55b0-4ca8-a967-8ba9db53a7d5
There could be an issue with intervention policies, policy seems to be applied at x + 1 time and doesn't reach the stated policy number at least in the following example.
I have intervention policies applied on state D at time 10 at the value 3500 and time 40 at the value 3800:
As you can see from the above the interventions seem to be applied after the the timestep and don't seem to reach the stating values.
pyciemss worker logs:
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