def compute_results_for_window(matrix):
	"""
	3x3 windows

	:return:
	"""

	# 85
	matrix_shape = matrix.shape

	intersection_indexes = dict()

	# Row iteration NOTE: beware that you might not be able to iterate complete steps if the marix shape dosen't go with 3
	i = 0
	while i < matrix_shape[0]:
		# Column iteration
		j = 0
		while j < matrix_shape[1]:
			intersection_indexes[(i, j)] = None
			window = matrix[i : i+3][j : j+3]
			window_sum = np.sum(window)

			if window_sum > 3:
				intersection_indexes[((i, i+3), (j, j+3))] = 3

			else:
				found_horizontal = False
				for row in window:
					if np.sum(row) == 3:
						intersection_indexes[((i, i+3), (j, j+3))] = 2
						found_horizontal = True
						break

				if not found_horizontal:
					for column in np.rot90(window):
						if np.sum(column) == 3:
							intersection_indexes[((i, i+3), (j, j+3))] = 1
						break

			j += 1

		i += 1

	return