def CreateSudoImg(
A, sourceimg, destination
): #Adds new Sudoku problem as png image to the desirable folder
# font = ImageFont.truetype("/usr/share/fonts/dejavu/DejaVuSans.ttf", 18)
img = Image.open(sourceimg + "/image.png")
draw = ImageDraw.Draw(img)
for i in range(9):
for j in range(9):
if (A[i, j] != 0):
draw.text((j * 25 + 8, i * 25 + 3), str(A[i, j]), fill=2)
draw = ImageDraw.Draw(img)
if not os.path.exists(destination):
os.mkdir(destination)
os.mkdir(destination + "/Arr")
os.mkdir(destination + "/Img")
os.mkdir(destination + "/Sol")
file_list = os.listdir(destination + "/Arr")
file_count = len(file_list) + 1
# imgname="/Img/Prob"+str(file_count)+".png"
arrayname = "/Arr/Array" + str(file_count) + ".npy"
solutionname = "/Sol/Solution" + str(file_count) + ".npy"
# img.save(destination+imgname)
np.save(destination + arrayname, A)
sol_A = SL.SudoSolveIt2(A, [], 1)
np.save(destination + solutionname, sol_A)
def onPressSolve(A):
if (np.min(A) >= 0 and np.max(A) <= 9):
if (SC.IsSudoRight(A)):
print("Solver", "Already Solved!")
else:
Adef = A.copy()
if (GU.CountSolutions(Adef, [], 0, 1) == 1):
sol_A = SL.SudoSolveIt2(A, [], 1)
print(A)
else:
print("Solver", "There isn't unique solution!")
else:
print("Solver", "Wrong inputs!")
def onPressSolve():
A=np.zeros((9,9), dtype=int)
i=0
for row in rows:
j=0
for col in row:
A[i,j]=int(col.get())
j=j+1
i=i+1
if (np.min(A)>=0 and np.max(A)<=9):
if (SC.IsSudoRight(A)):
printMes("Solver","Already Solved!")
else:
Adef=deepcopy(A)
if (GU.CountSolutions(Adef,[],0,1)==1):
A=SL.SudoSolveIt2(A,[],1)
print(A)
else:
printMes("Solver","There isn't unique solution!")
else:
printMes("Solver","Wrong inputs!")
mw.destroy()
def solvabel(m):
A = deepcopy(m)
return np.min(SL.SudoSolveIt2(A, [], 1)) > 0
difficulty = ""
back_dir = "sudoku" + difficulty
# back_dir = "sudoku"
with open(os.path.join(back_dir, 'features.pt'), 'rb') as f:
X_in = torch.load(f)
with open(os.path.join(back_dir, 'labels.pt'), 'rb') as f:
Y_in = torch.load(f)
# # #
X_numpy, Y_numpy = process_inputs(X_in, Y_in)
print(X_numpy[0])
print(Y_numpy[0])
np.save(os.path.join(back_dir, difficulty + '.npy'), X_numpy)
np.save(os.path.join(back_dir, difficulty + 'label.npy'), Y_numpy)
exit(0)
file_X = difficulty + ".npy"
file_Y = difficulty + "_label.npy"
X = np.load(os.path.join(back_dir, file_X))
features = np_back_torch(X)
torch.save(features, os.path.join(back_dir, "features.pt"))
Y = np.zeros(shape=X.shape)
for i, _ in enumerate(Y):
print(i)
Y[i] = SL.SudoSolveIt2(X[i], [], 1)
labels = np_back_torch(Y)
torch.save(labels, os.path.join(back_dir, "labels.pt"))