load_data_from_interval

(function from pyomo.contrib.mpc.interfaces.load_data)

pyomo.contrib.mpc.interfaces.load_data.load_data_from_interval(data, model, time, tolerance=0.0, prefer_left=True, exclude_left_endpoint=True, exclude_right_endpoint=False)

A function to load IntervalData into a model

Loads values into specified variables at time points that are within the intervals specified. If a time point is on the boundary of two intervals, the default is to use the interval on the left. Often, intervals should be treated as half-open, i.e. one of the left or right endpoints should be excluded. This can be enforced with the corresponding optional arguments.

Parameters:

• data (IntervalData)

• model (BlockData)

• time (Iterable)

• tolerance (Float)

• prefer_left (Bool)

• exclude_left_endpoint (Bool)

• exclude_right_endpoint (Bool)