self display( ,",var,"in",dom,"has no solution"return neighs exercise when splitting domainthis code splits the domain into halfapproximately in half (without any effort to make sensible choicedoes it work better to split one element from domainunit testcspconsistency py -(continued from cspexamples import test_csp from searchgeneric import searcher def ac_search_solver(csp)"""arc consistency (search interface)""sol searcher(search_with_ac_from_csp(csp)search(if solreturn { :select(dfor ( ,din sol end(items() if __name__ ="__main__"test_csp(ac_search_solvertestingcspconsistency py -(continued from cspexamples import csp csp csp csp crossword crossword #test solving csps with arc consistency and domain splitting#con_solver max_display_level display details of ac ( turns off#con_solver(csp solve_one(#searcher searcher(search_with_ac_from_csp(csp )#print(searcher search()#searcher max_display_level display search trace ( turns off#searcher searcher(search_with_ac_from_csp(csp )#print(searcher search()#searcher searcher(search_with_ac_from_csp(crossword )#print(searcher search()#searcher searcher(search_with_ac_from_csp(crossword )#print(searcher search() solving csps using stochastic local search to run the demoin folder "aipython"load "cspsls py"and copy and paste the commented-out example queries at the bottom of that file this assumes python some of the queries require matplotlib this implements both the two-stage choicethe any-conflict algorithm and random choice of variable (and probabilistic mix of the threeversion june