def j_for_one(x, y, d, matrix=readFile.getArray()):
d += 1
n = len(matrix[0]) # szerokosc x
m = len(matrix) # szerokosc y
blocked_ranges = []
if_forbidden = False
if matrix[y][x] == 1 or matrix[y][x] == 2:
if_forbidden = True
for i in range(d):
if y-i < 0 or y-i >= m:
break
for ii in range(2*i + 1):
if 0 <= x-i+ii < n and matrix[y - i][x - i + ii] == 0:
if not if_in_ranges(blocked_ranges, get_coords(2*i + 1, ii)):
matrix[y-i][x-i+ii] = 4
else:
matrix[y - i][x - i + ii] = 0
elif 0 <= x-i+ii < n and matrix[y - i][x - i + ii] == 1:
blocked_ranges = add_range(blocked_ranges, get_coords((2*i + 1), ii))
return matrix, if_forbidden
def J_return_forbidden(x, y, alpha, dep):
table = readFile.getArray()
no_0 = seen_counter_for_0(table)
n = dekoder.n() # szerokosc x
m = dekoder.m() # szerokosc y
is_forbidden = False
for k in range(len(x)):
# print(alpha[k])
# print(m)
table = angel_change(alpha[k], table)
temp_x = x[k]
x[k] = change_x(alpha[k], x[k], y[k], n, m)
y[k] = change_y(alpha[k], temp_x, y[k], n, m)
# print(x[k])
# print(y[k])
temp = j_for_one(x[k], y[k], dep, table)
table = temp[0]
if temp[1]:
is_forbidden = True
table = angel_change_back(alpha[k], table)
# print_matrix(table)
if is_forbidden:
return None
else:
return round((seen_counter(table) / no_0), 4)
def test10(self):
matrix = readFile.getArray(
os.path.dirname(os.path.abspath(__file__)) + '/arrays/data10.txt')
result = adaptationFunction.Jx(matrix, [2, 6, 2], [7, 6, 7], [0, 0, 0],
3)
self.assertEqual(result, 0.3086, 'should fill up array correctly')
def test1(self):
matrix = readFile.getArray(
os.path.dirname(os.path.abspath(__file__)) + '/arrays/data.txt')
result = adaptationFunction.J(matrix, [3, 3, 3], [4, 4, 4], [0, 0, 0],
3)
self.assertEqual(result, 0.1975, 'should fill up array correctly')
def min_value(d):
max_area_per_sensor = 0
for i in range(d + 1):
max_area_per_sensor += 2 * i + 1
table = readFile.getArray()
n = len(table[0])
m = len(table)
area = 0.9 * m * n
return math.floor(area / max_area_per_sensor)
def n():
table = readFile.getArray()
return len(table[0])
def m():
table = readFile.getArray()
return len(table)
def max_value():
table = readFile.getArray()
return afunction.seen_counter_for_0(table)
def test8(self):
matrix = readFile.getArray(
os.path.dirname(os.path.abspath(__file__)) + '/arrays/data7.txt')
result = adaptationFunction.J(matrix, [0], [10], [0], 100)
self.assertEqual(result, 0.7, 'should fill up array correctly')