कंस्ट्रेंट संयोजन अभ्यास

# Initialize, Define Decision Vars., Objective Function, and Constraints
model = LpProblem("Distribution Planning", LpMinimize)
wh = ['W1','W2']
prod = ['A', 'B', 'C']
X = LpVariable.dicts("ship", [(w, p, c) for c in cust for p in prod for w in wh], 
                     lowBound=0, cat="Integer")
model += lpSum([X[(w, p, c)]*costs.loc[(w, p), c]  for c in cust for p in prod for w in wh])
for c in cust:
    for p in prod:
        model += lpSum([X[(w, p, c)] for w in wh]) == demand.loc[p, c]

# Define Dependent Demand Constraints
model += ((1/10) * lpSum([X[('W1', 'A', c)] for c in cust]) 
          + ____ * lpSum([X[(____, ____, c)] for c in cust])
          + ____ * lpSum([X[(____, ____, ____)] for c in cust])) <= ____