Originally posted by: ashley20

Hi all,

I defined my variables in dictionaries, model.continuous_var_dict(). When I retrieve solution values one by one by using 

sol = model.solve(url=None, key=None)

for a in NumA:

      sol.get_value(vars[a]) 

It works well. 

However, I want to retrieve solution values in batches. I tried to use the function get_values(),

sol.get_values(vars)

but it does not work. Probably it only works for vars defined as list. 

I have some variables defined as 1-dimension, 2-dimension and 3-dimension dictionaries, retrieve values in batches would be good, rather than writing multiple loops. Is there a way I can retrieve solution values in batches for these variables defined as multi-dimension dictionaries?

Thank you!

get_values() only works for sequences. From the documentation:

 |  get_values(self, dvars)
 |      Gets the value of a sequence of variables in a solution.
 |      If a variable is not mentioned in the solution,
 |      the method assumes 0 and does not raise an exception.
 |      
 |      Args:
 |          dvars: an ordered sequence of decision variables.
 |      
 |      Returns:
 |          list: A list of float values, in the same order as the variable sequence.

Can you please try get_value_dict():

 |  get_value_dict(self, var_dict, keep_zeros=True, precision=1e-06)

It returns a dictionary with the same keys as 'var_dict' and the value for key k in this dictionary is the solution value for var_dict[k]. If 'keep_zeros' is False then the function removes from the result all keys for which the absolute value of the respective value is below 'precision'.

Originally posted by: ashley20

Hi Daniel,

Thank you for your quick response! The function get_value_dict() works well.

Originally posted by: ashley20

Hi Daniel,

Thank you for your quick response! The function get_value_dict() works well.