def test_number2():
""" 10 should throw an error """
try:
load_from_text_file("../DATA/invalidNumber2.txt")
except:
return
assert (False) # should not be reached
def main():
args = parse_arg()
sudoku = load_from_text_file(args.filepath)
solver = SolverBacktracking(sudoku)
solution = solver.solve(sudoku)
print('\n'.join(
[' '.join([str(cell) for cell in row]) for row in solution]),
end="\n\n")
def test_empty(clues_file, Solver):
sudoku = load_from_text_file(clues_file)
print()
print(sudoku)
solver = Solver(sudoku)
solution = solver.solve()
print(solution)
assert is_valid_solution(solution)
assert respect_clues(sudoku, solution)
assert sudoku is not solution
def load_puzzle_from_text_slot(self):
filename = QFileDialog.getOpenFileName(self, 'Open File')
if filename[0]:
array = load_from_text_file(filename[0])
for x in range(9):
for y in range(9):
v = array[x, y]
if (v > 0):
self.line_edits[x][y].setText(str(v))
self.line_edits[x][y].setReadOnly(True)
self.line_edits[x][y].setFont(
QFont("Aria;", 18, QFont.Bold))
else:
self.line_edits[x][y].setText("")
self.line_edits[x][y].setReadOnly(False)
self.line_edits[x][y].setFont(QFont("Aria;", 16))
def test_load(GridStruc):
clues = load_from_text_file("../DATA/easy.txt")
grid = GridStruc(clues)
assert grid.valid(0, 0, 1) == False
assert grid.valid(0, 0, 9) == False
assert grid.valid(1, 1, 1) == False
assert grid.valid(1, 1, 3) == True
assert grid[2, 0] == 8
assert grid.valid(2, 0, 8) == False
assert grid.valid(2, 0, 7) == True
assert grid[0, 2] == 0
assert grid.valid(0, 2, 9) == False
assert grid.valid(0, 2, 1) == False
assert grid.valid(0, 2, 3) == True
def test_empty():
""" Load an empty sudoku """
result = load_from_text_file("../DATA/empty.txt")
assert (result == np.zeros((DIM, DIM), dtype=int)).all()
def _test_size(filepath):
try:
load_from_text_file(filepath)
except:
return
assert (False) # should not be reached
def test_diag():
""" Load a diagonal matrix """
result = load_from_text_file("../DATA/diag.txt")
assert (result == np.diag([e for e in range(1, DIM + 1)])).all()
def test_diag_ones():
""" Load identity matrix """
result = load_from_text_file("../DATA/diag-ones.txt", check_validity=False)
assert (result == np.diag(np.ones(DIM, dtype=int))).all()
def test_ones():
result = load_from_text_file("../DATA/ones.txt", check_validity=False)
""" Load ones only """
assert (result == np.ones((DIM, DIM), dtype=int)).all()