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what is the future value if interest rate is 7% compounded quarterly and PMT is 2000 compounded quarterly for 10 lears?.

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What is the complete code for this problem? Create a KakuroCSP solver using python with the Requirements: Code (separate functions must be implemented for each one) CSP formulation Backtracking search Forward Checking AC3 (for the initial check) MAC (Maintaining Arc Consistency) Node consistency MRV (Minimum Remaining Values) LCV (Least Constraining Value) Provide the complete code and explain how to run the code, please. Input: The input is the name of a text file in the following format: FC=false AC3=false MAC=false NC=false MRV=false, LCV=false rows=5 columns=5 #,#,#,#,# #,0,0,#,# #,0,0,0,0 #,0,0,0,0 #,#,#,0,0 Constraints (row,column,sum,direction) 1,2,24,v 1,3,21,v 2,1,17,h 2,4,23,v 2,5,24,v 3,1,30,h 4,1,29,h 5,3,16,h Output: The output is a text file containing the solved puzzle in the following format (the zeros in the input are replaced with the numbers): #,#,#,#,# #,8,9,#,# #,9,7,6,8 #,7,5,8,9 #,#,#,9,7 code is not finished and needs the rest of the code. # CSP Formulation def KakuroCSPFormulation(problem): # Variables variables = [] for row in range(1, problem['rows']+1): for column in range(1, problem['columns']+1): if problem['grid'][row-1][column-1] == 0: variables.append((row, column)) # Domains domains = {var: [1, 2, 3, 4, 5, 6, 7, 8, 9] for var in variables} # Constraints constraints = [] for constraint in problem['constraints']: row, column, sum, direction = constraint if direction == 'h': for i in range(column, problem['columns']+1): if problem['grid'][row-1][i-1] == 0: constraints.append(KakuroConstraint(sum, (row, column), (row, i))) elif direction == 'v': for i in range(row, problem['rows']+1): if problem['grid'][i-1][column-1] == 0: constraints.append(KakuroConstraint(sum, (row, column), (i, column))) # Return the CSP return CSP(variables, domains, constraints) # Constraint class KakuroConstraint: def __init__(self, sum, left_var, right_var): self.sum = sum self.left_var = left_var self.right_var = right_var def satisfied(self, assignment): left_val = assignment.get(self.left_var) right_val = assignment.get(self.right_var) if left_val is None or right_val is None: return True return left_val + right_val == self.sum # CSP class CSP: def __init__(self, variables, domains, constraints): self.variables = variables self.domains = domains self.constraints = constraints # Backtracking Search with Optional Heuristics def KakuroBacktrackingSearch(problem, FC=False, AC3=False, MAC=False, NC=False, MRV=False, LCV=False): assignment = {} return KakuroRecursiveBacktracking(problem, assignment, FC, AC3, MAC, NC, MRV, LCV) # Recursive Backtracking def KakuroRecursiveBacktracking(problem, assignment, FC, AC3, MAC, NC, MRV, LCV): # Check if the assignment is complete if len(assignment) == len(problem.variables): return assignment # Select unassigned variable unassigned = [var for var in problem.variables if var not in assignment] if MRV: unassigned = sorted(unassigned, key=lambda var: KakuroMRV(problem, assignment, var)) var = unassigned[.

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