def solve_4(initial, goal):
'''
Solve a problem of type AssemblyProblem_4
The implementation has to
- use an instance of the class AssemblyProblem_4
- make a call to an appropriate functions of the 'generic_search" library
@return
- the string 'no solution' if the problem is not solvable
- otherwise return the sequence of actions to go from state
'initial' to state 'goal'
'''
print('\n++ busy searching in solve_4() ... ++\n')
assembly_problem = AssemblyProblem_4(initial, goal) #initiating assembly problem 1 with initial workbench and goal
search_function = generic_search.astar_graph_search(assembly_problem,assembly_problem.h) #using A star search to solve the find a solution
search_function2 = generic_search.breadth_first_graph_search(assembly_problem)
search_function3 = generic_search.uniform_cost_search(assembly_problem)
search_function4 = generic_search.iterative_deepening_search(assembly_problem)
if search_function == None: #if search does not output anything string 'no solution' will be returned from this function
return 'no solution'
else:
return search_function.solution()#,search_function2.solution(), search_function3.solution(), search_function4.solution() #otherwise the solution will be returned
def solve_3(initial, goal):
'''
Solve a problem of type AssemblyProblem_3
The implementation has to
- use an instance of the class AssemblyProblem_3
- make a call to an appropriate functions of the 'generic_search" library
@return
- the string 'no solution' if the problem is not solvable
- otherwise return the sequence of actions to go from state
'initial' to state 'goal'
'''
print('\n++ busy searching in solve_3() ... ++\n')
assembly_problem = AssemblyProblem_3(initial, goal)
sol_ts = gs.iterative_deepening_search(assembly_problem)
if (sol_ts == None):
return "no solution"
return sol_ts.solution()