I'm kinda a begginer in pyomo and I'm struggeling to declare my decision variables and getting the error:ValueError: The value=('6', (2, 3, 4)) has dimension 4 and is not valid for Set y_index which has dimen=3
. My data look like this:
List of Employees:
N = ['0', '1', '2', '3', '4', '5', '6', '7', '8', '9']
Set of weekends by employees (keys: employee ID, values: set of weekends)
EmployeeWE = {'0':[(2, 3),(9, 10),(16, 17),(23, 24)],
'1':[(2, 3),(9, 10),(16, 17),(23, 24)],
'2':[(2, 3),(9, 10),(16, 17),(23, 24)],
'3':[(2, 3),(9, 10),(16, 17),(23, 24)],
'4':[(2, 3),(9, 10),(16, 17),(23, 24)],
'5':[(2, 3),(9, 10),(16, 17),(23, 24)],
'6':[(2, 3,4),(9, 10,11),(16, 17,18),(23, 24,25)],
'7':[(2, 3,4),(9, 10,11),(16, 17,18),(23, 24,25)],
'8':[(2, 3),(9, 10),(16, 17),(23, 24)],
'9':[(2, 3),(9, 10),(16, 17),(23, 24)]}
As you can see for the employees 3 & 4, the weekends definition for them is off 3 days. So what I did was:
from pyomo.environ import *
model = ConcreteModel()
#Set declaration:
model.n = Set(initialize = N)
#model.WE = ??? -> no clue of how to declare a dictionary with a list of tupples
#Var
model.y = Var(((employees, weekends) for employees in model.n for weekends in EmployeeWE[employees]), within=Binary, initialize=0)
So I guess the error come from the 2 employees with a different set of weekends but how can I fix this ? For the variable declaration I need to know if employee n works or not at weekend i. By weekend i I mean the index (+1, strating from 1) of the list of tupples in the dictionary. For e.g., set of weekends employee ID 1:
1:(2,3), 2:(9,10), 3:(16,17), 4:(23,24) and so on for each employees. Thank you!
Here's the code I used to solve my problem
unique_WE = sorted(set(itertools.chain.from_iterable(EmployeeWE .values())))
map_I_WE = {k: v for k, v in enumerate(unique_WE)}
map_WE_I = {map_I_WE[k]: k for k in map_I_WE}
I = list(map_I_WE.keys())
map_N_I = defaultdict(list)
for n in EmployeeWE :
for w in EmployeeWE [n]:
map_N_I[n].append(map_WE_I[w])
model.I = Set(initialize = I)
model.N_I = Set(within=model.N * model.I,
initialize=[(n, i) for n in map_N_I for i in map_N_I[n]])