1
|
|
|
''' |
2
|
|
|
The following example shows how to travrse the BSP tree using Python. This |
3
|
|
|
assumes `create_room` and `connect_rooms` will be replaced by custom code. |
4
|
|
|
|
5
|
|
|
Example:: |
6
|
|
|
|
7
|
|
|
import tcod.bsp |
8
|
|
|
|
9
|
|
|
def create_room(node): |
10
|
|
|
"""Initialize the room at this current node.""" |
11
|
|
|
print('Create a room for %s.' % node) |
12
|
|
|
|
13
|
|
|
def connect_rooms(node): |
14
|
|
|
"""Connect two fully initialized rooms.""" |
15
|
|
|
node1, node2 = node.children |
16
|
|
|
print('Connect the rooms:\\n%s\\n%s' % (node1, node2)) |
17
|
|
|
|
18
|
|
|
def traverse(node): |
19
|
|
|
"""Traverse a BSP tree dispatching nodes to the correct calls.""" |
20
|
|
|
# For nodes without children, node.children is an empty tuple. |
21
|
|
|
for child in node.children: |
22
|
|
|
traverse(child) |
23
|
|
|
|
24
|
|
|
if node.children: |
25
|
|
|
connect_rooms(node) |
26
|
|
|
else: |
27
|
|
|
create_room(node) |
28
|
|
|
|
29
|
|
|
bsp = tcod.bsp.BSP(x=0, y=0, width=80, height=60) |
30
|
|
|
bsp.split_recursive( |
31
|
|
|
depth=5, |
32
|
|
|
min_width=3, |
33
|
|
|
min_height=3, |
34
|
|
|
max_horizontal_ratio=1.5, |
35
|
|
|
max_vertical_ratio=1.5, |
36
|
|
|
) |
37
|
|
|
traverse(bsp) |
38
|
|
|
''' |
39
|
|
|
from __future__ import absolute_import as _ |
40
|
|
|
|
41
|
|
|
from tcod.libtcod import lib, ffi |
42
|
|
|
|
43
|
|
|
|
44
|
|
|
class BSP(object): |
45
|
|
|
"""A binary space partitioning tree which can be used for simple dungeon |
46
|
|
|
generation. |
47
|
|
|
|
48
|
|
|
Attributes: |
49
|
|
|
x (int): Rectangle left coordinate. |
50
|
|
|
y (int): Rectangle top coordinate. |
51
|
|
|
width (int): Rectangle width. |
52
|
|
|
height (int): Rectangle height. |
53
|
|
|
level (int): This nodes depth. |
54
|
|
|
position (int): The integer of where the node was split. |
55
|
|
|
horizontal (bool): This nodes split orientation. |
56
|
|
|
parent (Optional[BSP]): This nodes parent or None |
57
|
|
|
children (Optional[Tuple[BSP, BSP]]): |
58
|
|
|
A tuple of (left, right) BSP instances, or |
59
|
|
|
None if this BSP has no children. |
60
|
|
|
|
61
|
|
|
Args: |
62
|
|
|
x (int): Rectangle left coordinate. |
63
|
|
|
y (int): Rectangle top coordinate. |
64
|
|
|
width (int): Rectangle width. |
65
|
|
|
height (int): Rectangle height. |
66
|
|
|
""" |
67
|
|
|
|
68
|
|
|
def __init__(self, x, y, width, height): |
69
|
|
|
self.x = x |
|
|
|
|
70
|
|
|
self.y = y |
|
|
|
|
71
|
|
|
self.width = width |
72
|
|
|
self.height = height |
73
|
|
|
|
74
|
|
|
self.level = 0 |
75
|
|
|
self.position = 0 |
76
|
|
|
self.horizontal = False |
77
|
|
|
|
78
|
|
|
self.parent = None |
79
|
|
|
self.children = () |
80
|
|
|
|
81
|
|
|
@property |
82
|
|
|
def w(self): |
|
|
|
|
83
|
|
|
return self.width |
84
|
|
|
@w.setter |
85
|
|
|
def w(self, value): |
|
|
|
|
86
|
|
|
self.width = value |
87
|
|
|
|
88
|
|
|
@property |
89
|
|
|
def h(self): |
|
|
|
|
90
|
|
|
return self.height |
91
|
|
|
@h.setter |
92
|
|
|
def h(self, value): |
|
|
|
|
93
|
|
|
self.height = value |
94
|
|
|
|
95
|
|
|
def _as_cdata(self): |
|
|
|
|
96
|
|
|
cdata = ffi.gc(lib.TCOD_bsp_new_with_size(self.x, self.y, |
97
|
|
|
self.width, self.height), |
98
|
|
|
lib.TCOD_bsp_delete) |
99
|
|
|
cdata.level = self.level |
100
|
|
|
return cdata |
101
|
|
|
|
102
|
|
|
def __str__(self): |
103
|
|
|
"""Provide a useful readout when printed.""" |
104
|
|
|
status = 'leaf' |
105
|
|
|
if self.children: |
106
|
|
|
status = ('split at position=%i,horizontal=%r' % |
107
|
|
|
(self.position, self.horizontal)) |
108
|
|
|
|
109
|
|
|
return ('<%s(x=%i,y=%i,width=%i,height=%i)level=%i,%s>' % |
110
|
|
|
(self.__class__.__name__, |
111
|
|
|
self.x, self.y, self.width, self.height, self.level, status)) |
112
|
|
|
|
113
|
|
|
def _unpack_bsp_tree(self, cdata): |
|
|
|
|
114
|
|
|
self.x = cdata.x |
115
|
|
|
self.y = cdata.y |
116
|
|
|
self.width = cdata.w |
117
|
|
|
self.height = cdata.h |
118
|
|
|
self.level = cdata.level |
119
|
|
|
self.position = cdata.position |
120
|
|
|
self.horizontal = bool(cdata.horizontal) |
121
|
|
|
if lib.TCOD_bsp_is_leaf(cdata): |
122
|
|
|
return |
123
|
|
|
self.children = (BSP(0, 0, 0, 0), BSP(0, 0, 0, 0)) |
124
|
|
|
self.children[0].parent = self |
125
|
|
|
self.children[0]._unpack_bsp_tree(lib.TCOD_bsp_left(cdata)) |
126
|
|
|
self.children[1].parent = self |
127
|
|
|
self.children[1]._unpack_bsp_tree(lib.TCOD_bsp_right(cdata)) |
128
|
|
|
|
129
|
|
|
def split_once(self, horizontal, position): |
130
|
|
|
"""Split this partition into 2 sub-partitions. |
131
|
|
|
|
132
|
|
|
Args: |
133
|
|
|
horizontal (bool): |
134
|
|
|
position (int): |
135
|
|
|
""" |
136
|
|
|
cdata = self._as_cdata() |
137
|
|
|
lib.TCOD_bsp_split_once(cdata, horizontal, position) |
138
|
|
|
self._unpack_bsp_tree(cdata) |
139
|
|
|
|
140
|
|
|
def split_recursive(self, depth, min_width, min_height, |
141
|
|
|
max_horizontal_ratio, max_vertical_ratio, seed=None): |
142
|
|
|
"""Divide this partition recursively. |
143
|
|
|
|
144
|
|
|
Args: |
145
|
|
|
depth (int): The maximum depth to divide this object recursively. |
146
|
|
|
min_width (int): The minimum width of any individual partition. |
147
|
|
|
min_height (int): The minimum height of any individual partition. |
148
|
|
|
max_horizontal_ratio (float): |
149
|
|
|
Prevent creating a horizontal ratio more extreme than this. |
150
|
|
|
max_vertical_ratio (float): |
151
|
|
|
Prevent creating a vertical ratio more extreme than this. |
152
|
|
|
seed (Optional[tcod.random.Random]): |
153
|
|
|
The random number generator to use. |
154
|
|
|
""" |
155
|
|
|
cdata = self._as_cdata() |
156
|
|
|
lib.TCOD_bsp_split_recursive( |
157
|
|
|
cdata, |
158
|
|
|
seed or ffi.NULL, |
159
|
|
|
depth, |
160
|
|
|
min_width, min_height, |
161
|
|
|
max_horizontal_ratio, max_vertical_ratio, |
162
|
|
|
) |
163
|
|
|
self._unpack_bsp_tree(cdata) |
164
|
|
|
|
165
|
|
|
def walk(self): |
166
|
|
|
"""Iterate over this BSP's hieracrhy. |
167
|
|
|
|
168
|
|
|
The iterator will include the instance which called it. |
169
|
|
|
It will traverse its own children and grandchildren, in no particular |
170
|
|
|
order. |
171
|
|
|
|
172
|
|
|
Returns: |
173
|
|
|
Iterator[BSP]: An iterator of BSP nodes. |
174
|
|
|
|
175
|
|
|
.. deprecated:: 2.3 |
176
|
|
|
See the module example for how to iterate over a BSP tree. |
177
|
|
|
""" |
178
|
|
|
return self._iter_post_order() |
179
|
|
|
|
180
|
|
|
def _iter_pre_order(self): |
|
|
|
|
181
|
|
|
yield self |
182
|
|
|
for child in self.children: |
183
|
|
|
for grandchild in child._iter_pre_order(): |
184
|
|
|
yield grandchild |
185
|
|
|
|
186
|
|
|
def _iter_in_order(self): |
|
|
|
|
187
|
|
|
if self.children: |
188
|
|
|
for grandchild in self.children[0]._iter_in_order(): |
189
|
|
|
yield grandchild |
190
|
|
|
yield self |
191
|
|
|
for grandchild in self.children[1]._iter_in_order(): |
192
|
|
|
yield grandchild |
193
|
|
|
else: |
194
|
|
|
yield self |
195
|
|
|
|
196
|
|
|
def _iter_post_order(self): |
|
|
|
|
197
|
|
|
for child in self.children: |
198
|
|
|
for grandchild in child._iter_post_order(): |
199
|
|
|
yield grandchild |
200
|
|
|
yield self |
201
|
|
|
|
202
|
|
|
def _iter_level_order(self): |
|
|
|
|
203
|
|
|
return sorted(self._iter_pre_order(), key=lambda n:n.level) |
|
|
|
|
204
|
|
|
|
205
|
|
|
def _iter_inverted_level_order(self): |
|
|
|
|
206
|
|
|
return reversed(self._iter_level_order()) |
207
|
|
|
|
208
|
|
|
def contains(self, x, y): |
|
|
|
|
209
|
|
|
"""Returns True if this node contains these coordinates. |
210
|
|
|
|
211
|
|
|
Args: |
212
|
|
|
x (int): X position to check. |
213
|
|
|
y (int): Y position to check. |
214
|
|
|
|
215
|
|
|
Returns: |
216
|
|
|
bool: True if this node contains these coordinates. |
217
|
|
|
Otherwise False. |
218
|
|
|
""" |
219
|
|
|
return (self.x <= x < self.x + self.width and |
220
|
|
|
self.y <= y < self.y + self.height) |
221
|
|
|
|
222
|
|
|
def find_node(self, x, y): |
|
|
|
|
223
|
|
|
"""Return the deepest node which contains these coordinates. |
224
|
|
|
|
225
|
|
|
Returns: |
226
|
|
|
Optional[BSP]: BSP object or None. |
227
|
|
|
""" |
228
|
|
|
if not self.contains(x, y): |
229
|
|
|
return None |
230
|
|
|
for child in self.children: |
231
|
|
|
found = child.find_node(x, y) |
232
|
|
|
if found: |
233
|
|
|
return found |
234
|
|
|
return self |
235
|
|
|
|
This check looks for invalid names for a range of different identifiers.
You can set regular expressions to which the identifiers must conform if the defaults do not match your requirements.
If your project includes a Pylint configuration file, the settings contained in that file take precedence.
To find out more about Pylint, please refer to their site.