7.12. 构建骑士之旅图
.. Copyright (C) Brad Miller, David Ranum This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/.
Building the Knight’s Tour Graph ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
To represent the knight’s tour problem as a graph we will use the
following two ideas: each square on the chessboard can be represented as
a node in the graph and each legal move by the knight can be represented as
an edge in the graph. :ref:Figure 1 <fig_knightmoves>
illustrates the legal
moves by a knight and the corresponding edges in a graph.
.. _fig_knightmoves:
.. figure:: Figures/knightmoves.png :align: center
Figure 1: Legal Moves for a Knight on Square 12 and the Corresponding Graph
To build the full graph for an n-by-n board, we can use the Python
function shown in :ref:Listing 1 <lst_knighttour1>
. The knight_graph
function
makes one pass over the entire board. At each square on the board the
knight_graph
function calls a helper, gen_legal_moves
, to create a
list of legal moves for that position on the board. All legal moves are
then converted into edges in the graph. Each location on the board is converted into a
linear vertex number similar to the vertex numbers shown
in :ref:Figure 1 <fig_knightmoves>
.
.. _lst_knighttour1:
Listing 1
::
from pythonds3.graphs import Graph
def knight_graph(board_size):
kt_graph = Graph()
for row in range(board_size):
for col in range(board_size):
node_id = row * board_size + col
new_positions = gen_legal_moves(row, col, board_size)
for row2, col2 in new_positions:
other_node_id = row2 * board_size + col2
kt_graph.add_edge(node_id, other_node_id)
return kt_graph
The gen_legal_moves
function (:ref:Listing 2 <lst_knighttour2>
) takes
the position of the knight on the board and generates each of the eight possible moves,
making sure those moves are still within the board.
.. _lst_knighttour2:
Listing 2
::
def gen_legal_moves(row, col, board_size):
new_moves = []
move_offsets = [
(-1, -2), # left-down-down
(-1, 2), # left-up-up
(-2, -1), # left-left-down
(-2, 1), # left-left-up
(1, -2), # right-down-down
(1, 2), # right-up-up
(2, -1), # right-right-down
(2, 1), # right-right-up
]
for r_off, c_off in move_offsets:
if 0 <= row + r_off < board_size and 0 <= col + c_off < board_size:
new_moves.append((row + r_off, col + c_off))
return new_moves
:ref:Figure 2 <fig_bigknight>
shows the complete graph of possible moves on an
:math:8 \times 8
board. There are exactly 336 edges in the graph. Notice
that the vertices corresponding to the edges of the board have fewer
connections (legal moves) than the vertices in the middle of the board.
Once again we can see how sparse the graph is. If the graph was fully
connected there would be 4,096 edges. Since there are only 336 edges,
the adjacency matrix would be only 8.2 percent full.
.. _fig_bigknight:
.. figure:: Figures/bigknight.png :align: center
Figure 2: All Legal Moves for a Knight on an :math:8 \times 8
Chessboard
创建日期: 2023年10月10日