def solve_sudoku(knowledge_base, puzzle, method='dpll', puzzle_display='off', dim=9):
# Convert puzzles to CNF
premises = cnf_conversion(puzzle,dim)
#print("premises", premises)
# Add premises to the knowledgebase
CNF = knowledge_base + premises #+ [[101,101]]
# Resolve sudoku
if method == 'dpll':
solution = dpll(CNF,[])
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
# fix output format for displaying the result in console
solution = extractDigits(solution)
#print('satisfied')
else:
print('s UNSATISFIABLE')
if puzzle_display == 'on' and solution:
puzzle_size = dim
print('Puzzle: ')
display_sudoku(premises, puzzle_size)
print('Solved:')
display_sudoku(solution, puzzle_size)
def satProbability(n, m, k, num):
# Genera la lista dei simboli e successivamente esegue
# num volte l'implementazione dell'algoritmo di
# Davis-Putnam, la funzione dpll. La lista results tiene
# traccia degli esempi positivi e negativi.
# La funzione restituisce i risultati sotto forma di lista
# e il numero medio di chiamate ricorsive alla funzione
# "dpll". Viene inoltre stampato a video il tempo
# impiegato.
global count
count = 0
start = time.time()
symbols = generateSymbols(n)
results = [0,0]
for _ in range(0,num):
clauses = randomSentence(symbols, m, k)
if (clauses == None):
return
val = dpll.dpll(clauses, symbols, [])
if (val == True):
results[0] += 1
if (val == False):
results[1] += 1
end = time.time()
print end - start
return results, count / num, float(m / float(n))
def main():
duration = Duration()
if len(sys.argv) < 1 + 2 or len(sys.argv) > 1 + 3:
print("usage:", sys.argv[0],"<filename(str)> <verbose(bool)> [optionnal : <nb_col(int)>]")
print("Liste des fichiers disponibles :", get_files(DATA, ext=["cnf"]))
print("Liste des fichiers disponibles :", get_files(DATA, ext=["col"]))
else :
filename = sys.argv[1]
verbose = bool(int(sys.argv[2]))
if get_file_ext(filename) == "col":
if len(sys.argv) != 1 + 3:
n_col = NB_COL_DEFAULT
else :
n_col = int(sys.argv[3])
data, nb_som, _ = col_parser(filename)
cnf , n = col_to_cnf(data, nb_som, n_col)
elif get_file_ext(filename) == "cnf":
cnf, n, _ = cnf_parser(filename)
else:
Exception("only .col or .cnf file are granted")
print("Ensemble des clauses : \n", cnf)
print("Nombre de littéraux :", n)
if n_col :
print("Nombre de couleurs :", n_col)
duration()
s = dpll(cnf, n, verbose=verbose)
duree = duration()
print("Solution : ", s)
print("Solution", "a priori vraie" if verif_solution(s, cnf, n) else "fausse")
print("Temps de résolution :", duree, "secondes")
def satisfy_dir(directory, walk=True, hill=True, deepee=True):
all_results = []
for file in os.listdir(directory):
if file.endswith(".cnf"):
formula, var_dict = util.read_dimacs(directory + "/" + file)
if walk:
for i in range(1, 11):
formula_walk = copy.copy(formula)
var_dict_walk = copy.copy(var_dict)
current = time.time()
try:
walk_formula, walk_result, walk_score, walk_flips = walksat.walk_sat(
formula_walk, var_dict_walk, i, 5000)
result = [
directory + "/" + file, "WalkSAT", walk_result,
str(walk_score) + "/" + str(len(formula)),
walk_flips,
time.time() - current
]
except:
result = [directory + "/" + file, "WalkSAT", "ERROR"]
print(result)
all_results.append(result)
if hill:
current = time.time()
hill_formula, hill_result, hill_score, hill_flips = hillclimbing.hill_climb(
formula, var_dict)
result = [
directory + "/" + file, "HillClimb", hill_result,
str(hill_score) + "/" + str(len(formula)), hill_flips,
time.time() - current
]
print(result)
all_results.append(result)
if deepee:
current = time.time()
for var in var_dict:
var_dict[var] = None
for line in formula:
line[1] = None
result, new_var_dict = dpll.dpll(formula, var_dict)
new_formula, result, score = util.check_formula(
formula, new_var_dict)
if result == False:
result = "Unsatisfied"
else:
result = "Satisfied"
result = [
directory + "/" + file, "DPLL", result, 'NA', 'NA',
time.time() - current
]
print(result)
all_results.append(result)
return all_results
def main():
txt = input("Type the name of the file.txt : ")
txt_output = input(
"Type the name of the file.txt where you want to write the output' : ")
list = open(txt).readlines()[3:]
cnf2 = [row.split() for row in list]
d = dpll(cnf2, list, [])
f = str(' '.join(d))
output = open(txt_output, 'w')
output.write(f)
def solve(expr: str, silent: bool = False) -> Tuple[bool, Dict]:
clauses, original_literals = tseitin(expr)
cnf = CNFFormula(clauses)
is_sat, model = dpll(cnf)
if not silent:
if is_sat:
model_str = '\n'.join(
list(
map(
lambda key: f'{key}: {model[key]}',
filter(lambda key: key in original_literals,
model.keys()))))
print(f'SAT: {expr}\n' f'Model: \n{model_str}')
else:
print('UNSAT')
return is_sat, model
print "Sudoku", X2SATsudoku(sud)
print ":: END SUDOKU ::\n"
print "::: END SAT PREVEDBE :::\n"
"""
######################################################
#################DPLL################################
######################################################
"""
# Metoda prejme za parameter logicno formulo
# Metoda vrne resitev formule, ce je to mogoce
# Opozorilo! Paziti moramo, da so negacije nahajo pri spremenljivkah! Potrebno je torej klicati metodo simplify preden
# vsavimo formulo v dpll.
from dpll import dpll
print "::: BEGIN DPLL :::"
print dpll(V("X"))
print dpll(And([V("X"), V("Y")]))
print dpll(And([XOR(V("X"), V("Y")), Or([V("X"), V("Y")])]))
G = [(V("a"), V("b"))]
print "Barvanje", dpll(barvanje(G, 2))
print "Hadamard 2", dpll(hadamardova_matrika(2)) # Hadamardovo za 4 ne resi v normalnem casu.
# Petersenov graf.
petersen = [
(6, 7), (7, 8), (8, 9), (9, 10), (10, 6),
(10, 5), (6, 1), (2, 7), (3, 8), (4, 9),
(1, 3), (1, 4), (2, 5), (2, 4), (3, 5)
]
def solve_sudoku(knowledge_base,
puzzle,
method='dpll',
puzzle_display='off',
dim=9):
# Convert puzzles to CNF
premises = cnf_conversion(puzzle, dim)
#print("premises", premises)
# Add premises to the knowledgebase
CNF = knowledge_base + premises #+ [[101,101]]
# Resolve sudoku
if method == 'dpll':
solution = dpll(CNF, [])
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
solution = extractDigits(solution)
else:
print('s UNSATISFIABLE')
elif method == 'dpll_dlcs':
solution = dpll_dlcs(CNF, [])
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
solution = extractDigits(solution)
else:
print('s UNSATISFIABLE')
elif method == 'dpll_dlis':
solution = dpll_dlis(CNF, [])
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
solution = extractDigits(solution)
else:
print('s UNSATISFIABLE')
elif method == 'dpll_moms':
solution = dpll_moms(CNF, [])
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
solution = extractDigits(solution)
else:
print('s UNSATISFIABLE')
elif method == 'dpll_jw':
solution = dpll_jw(CNF, [])
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
solution = extractDigits(solution)
else:
print('s UNSATISFIABLE')
elif method == 'nocnf':
solution = oldFashioned(puzzle, dim, puzzle_display)
if solution:
solution = np.array(solution)
solution = solution[solution > 0]
solution = extractDigits(solution)
else:
print('s UNSATISFIABLE')
if puzzle_display == 'on' and solution:
puzzle_size = dim
print('Puzzle: ')
display_sudoku(premises, puzzle_size)
print('Solved:')
display_sudoku(solution, puzzle_size)
D = input("Primerjam DPLL s čisto pojavitvijo? (y/n) ")
D1 = input("Primerjam DPLL z le eno izvedbo čiste pojavitve (takoj na začetku)? (y/n) ")
DB = input("Primerjam osnoven DPLL, brez implementacije čiste pojavitve? (y/n) ")
L = 0
if not (D=="n" and D1=="n" and DB=="n"):
L = int(input("Koliko naključnih polnitev polj (sudokujev) zgeneriram? Vnesi naravno št."))
if not (D=="n" and D1=="n" and DB=="n"):
print("\n Prazen sudoku:")
print("="*25)
CNF = sudoku([]).cnf()
if D=="y":
kopija = Cnf([Stavek([i for i in s.literali]) for s in CNF.stavki])
before1 = clock()
rez1 = dpll(kopija)
after1 = clock()
print("Dpll z večkratno čisto pojavitvijo potrebuje {0} sec.".format(after1-before1))
if D1=="y":
kopija = Cnf([Stavek([i for i in s.literali]) for s in CNF.stavki])
before2 = clock()
rez2 = dpll_brez_ciste(kopija)
after2 = clock()
print("Dpll z enkratno čisto pojavitvijo potrebuje {0} sec.".format(after2-before2))
if DB=="y":
before3 = clock()
rez3 = dpll_osnoven(CNF)
after3 = clock()
print("Dpll brez vsakršne čiste pojavitve potrebuje {0} sec.".format(after3-before3))
def dpllSat(clauses, symbols):
return dpll.dpll(clauses, symbols, [])
"""plogic
Usage:
plogic.py <input_file> [--cnf] [--dpll]
"""
from docopt import docopt
from logic_parser import LogicParser
from dpll import dpll
args = docopt(__doc__)
def read(file):
with open(file) as f:
return f.read()
tree = LogicParser().parse(read(args['<input_file>']))
print('Parsed expression :', tree)
if args['--cnf']:
print('CNF expression :', tree.toCNF())
if args['--dpll']:
print('DPLL solutions :')
for sol in dpll(tree.toCNF()):
print(', '.join(atom + ': ' + str(value)
for atom, value in sol.items()))
#!/usr/bin/env python
# -*- coding: utf-8 -*-
__author__ = 'Breno Alef Dourado Sá'
from Tkinter import *
import nQueenCNF
import dpll
n = input("Board size: ")
nQueenCNF.generateFile(n)
clauses = dpll.readDimacs(str(n) + "queens.dimacs")
result = dpll.dpll(clauses, [])
if result != False:
root = Tk()
root.title(str(n) + ' queens')
canvas = Canvas(root, bg='white', height=500, width=500)
canvas.pack(side=TOP, padx=10, pady=10)
queen = PhotoImage(file="queen.gif")
queen = queen.subsample(n, n)
board_rows = n
board_cols = n
x = 1
y = 1
square_size = 500 / n
for rows in range(board_rows):
color_white = not (rows % 2)
for columns in range(board_cols):
def dpll_solve(sudo: Circuit) -> Solution:
return dpll(sudo)
# print(len(fFNC))
#print(fFNC)
# Se obtiene la forma clausal como lista de listas de literales
# print("inicio a Clausal")
fClaus = fn.formaClausal(formula)
# print(fClaus)
#print(len(fClaus))
# print(regla2())
test = {}
print("inicio a DPLL")
test = dpll(fClaus,test)
sat, dic = test
# print(test)
final = deco_dict3(dic,Ncuadros,Ncolores,Nturnos)
print(dic)
for k in dic.keys():
if k in lC:
s,c,t = decodifica3(ord(k)-256, Ncuadros,Ncolores,Nturnos)
print(f'S{s} C{c} T{t} -> {dic[k]}')
else:
print("fail")