1
|
|
|
""" |
2
|
|
|
|
3
|
|
|
Example:: |
4
|
|
|
|
5
|
|
|
>>> import numpy as np |
6
|
|
|
>>> import tcod.path |
7
|
|
|
>>> dungeon = np.array( |
8
|
|
|
... [ |
9
|
|
|
... [1, 0, 1, 1, 1], |
10
|
|
|
... [1, 0, 1, 0, 1], |
11
|
|
|
... [1, 1, 1, 0, 1], |
12
|
|
|
... ], |
13
|
|
|
... dtype=np.int8, |
14
|
|
|
... ) |
15
|
|
|
... |
16
|
|
|
>>> height, width = dungeon.shape |
17
|
|
|
|
18
|
|
|
# Create a pathfinder from a numpy array. |
19
|
|
|
# This is the recommended way to use the tcod.path module. |
20
|
|
|
>>> astar = tcod.path.AStar(dungeon) |
21
|
|
|
>>> print(astar.get_path(0, 0, 4, 2)) |
22
|
|
|
[(0, 1), (1, 2), (2, 1), (3, 0), (4, 1), (4, 2)] |
23
|
|
|
>>> astar.cost[0, 1] = 1 # You can access the map array via this attribute. |
24
|
|
|
>>> print(astar.get_path(0, 0, 4, 2)) |
25
|
|
|
[(1, 0), (2, 0), (3, 0), (4, 1), (4, 2)] |
26
|
|
|
|
27
|
|
|
# Create a pathfinder from an edge_cost function. |
28
|
|
|
# Calling Python functions from C is known to be very slow. |
29
|
|
|
>>> def edge_cost(my_x, my_y, dest_x, dest_y): |
30
|
|
|
... return dungeon[dest_y, dest_x] |
31
|
|
|
... |
32
|
|
|
>>> dijkstra = tcod.path.Dijkstra( |
33
|
|
|
... tcod.path.EdgeCostCallback(edge_cost, width, height), |
34
|
|
|
... ) |
35
|
|
|
... |
36
|
|
|
>>> dijkstra.set_goal(0, 0) |
37
|
|
|
>>> print(dijkstra.get_path(4, 2)) |
38
|
|
|
[(1, 0), (2, 0), (3, 0), (4, 1), (4, 2)] |
39
|
|
|
""" |
40
|
|
|
|
41
|
|
|
from __future__ import absolute_import |
42
|
|
|
|
43
|
|
|
import numpy as np |
|
|
|
|
44
|
|
|
|
45
|
|
|
from tcod.libtcod import lib, ffi |
46
|
|
|
|
47
|
|
|
|
48
|
|
|
@ffi.def_extern() |
49
|
|
|
def _pycall_path_old(x1, y1, x2, y2, handle): |
|
|
|
|
50
|
|
|
"""libtcodpy style callback, needs to preserve the old userData issue.""" |
51
|
|
|
func, userData = ffi.from_handle(handle) |
|
|
|
|
52
|
|
|
return func(x1, y1, x2, y2, userData) |
53
|
|
|
|
54
|
|
|
|
55
|
|
|
@ffi.def_extern() |
56
|
|
|
def _pycall_path_simple(x1, y1, x2, y2, handle): |
|
|
|
|
57
|
|
|
"""Does less and should run faster, just calls the handle function.""" |
58
|
|
|
return ffi.from_handle(handle)(x1, y1, x2, y2) |
59
|
|
|
|
60
|
|
|
|
61
|
|
|
@ffi.def_extern() |
62
|
|
|
def _pycall_path_swap_src_dest(x1, y1, x2, y2, handle): |
|
|
|
|
63
|
|
|
"""A TDL function dest comes first to match up with a dest only call.""" |
64
|
|
|
return ffi.from_handle(handle)(x2, y2, x1, y1) |
65
|
|
|
|
66
|
|
|
|
67
|
|
|
@ffi.def_extern() |
68
|
|
|
def _pycall_path_dest_only(x1, y1, x2, y2, handle): |
|
|
|
|
69
|
|
|
"""A TDL function which samples the dest coordinate only.""" |
70
|
|
|
return ffi.from_handle(handle)(x2, y2) |
71
|
|
|
|
72
|
|
|
def _get_pathcost_func(name): |
73
|
|
|
"""Return a properly cast PathCostArray callback.""" |
74
|
|
|
return ffi.cast('TCOD_path_func_t', ffi.addressof(lib, name)) |
75
|
|
|
|
76
|
|
|
|
77
|
|
|
class _EdgeCostFunc(object): |
78
|
|
|
""" |
79
|
|
|
Args: |
80
|
|
|
userdata (Any): Custom userdata to send to the C call. |
81
|
|
|
width (int): The maximum width of this callback. |
82
|
|
|
height (int): The maximum height of this callback. |
83
|
|
|
""" |
84
|
|
|
_CALLBACK_P = lib._pycall_path_old |
85
|
|
|
|
86
|
|
|
def __init__(self, userdata, width, height): |
87
|
|
|
self._userdata = userdata |
88
|
|
|
self.width = width |
89
|
|
|
self.height = height |
90
|
|
|
|
91
|
|
|
def get_tcod_path_ffi(self): |
92
|
|
|
""" |
93
|
|
|
|
94
|
|
|
Returns: |
95
|
|
|
Tuple[CData, CData]: A cffi (callback, userdata) pair. |
96
|
|
|
|
97
|
|
|
|
98
|
|
|
""" |
99
|
|
|
return (self._CALLBACK_P, ffi.new_handle(self._userdata), |
100
|
|
|
self.width, self.height) |
101
|
|
|
|
102
|
|
|
def __repr__(self): |
103
|
|
|
return '%s(%r, width=%r, height=%r)' % ( |
104
|
|
|
self.__class__.__name__, |
105
|
|
|
self._userdata, self.width, self.height, |
106
|
|
|
) |
107
|
|
|
|
108
|
|
|
|
109
|
|
|
class EdgeCostCallback(_EdgeCostFunc): |
110
|
|
|
"""Calculate cost from an edge-cost callback. |
111
|
|
|
|
112
|
|
|
Args: |
113
|
|
|
callback (Callable[[int, int, int, int], float]): |
114
|
|
|
A callback which can handle the following parameters: |
115
|
|
|
`(source_x:int, source_y:int, dest_x:int, dest_y:int) -> float` |
116
|
|
|
width (int): The maximum width of this callback. |
117
|
|
|
height (int): The maximum height of this callback. |
118
|
|
|
""" |
119
|
|
|
_CALLBACK_P = lib._pycall_path_simple |
120
|
|
|
|
121
|
|
|
def __init__(self, callback, width, height): |
122
|
|
|
self.callback = callback |
123
|
|
|
super(EdgeCostCallback, self).__init__(callback, width, height) |
124
|
|
|
|
125
|
|
|
class NodeCostArray(np.ndarray): |
126
|
|
|
"""Calculate cost from a numpy array of nodes. |
127
|
|
|
|
128
|
|
|
Args: |
129
|
|
|
array (numpy.ndarray): A numpy array with the cost of each node. |
130
|
|
|
""" |
131
|
|
|
|
132
|
|
|
_C_ARRAY_CALLBACKS = { |
133
|
|
|
np.float32: ('float*', _get_pathcost_func('PathCostArrayFloat32')), |
134
|
|
|
np.bool_: ('int8_t*', _get_pathcost_func('PathCostArrayInt8')), |
135
|
|
|
np.int8: ('int8_t*', _get_pathcost_func('PathCostArrayInt8')), |
136
|
|
|
np.uint8: ('uint8_t*', _get_pathcost_func('PathCostArrayUInt8')), |
137
|
|
|
np.int16: ('int16_t*', _get_pathcost_func('PathCostArrayInt16')), |
138
|
|
|
np.uint16: ('uint16_t*', _get_pathcost_func('PathCostArrayUInt16')), |
139
|
|
|
np.int32: ('int32_t*', _get_pathcost_func('PathCostArrayInt32')), |
140
|
|
|
np.uint32: ('uint32_t*', _get_pathcost_func('PathCostArrayUInt32')), |
141
|
|
|
} |
142
|
|
|
|
143
|
|
|
def __new__(cls, array): |
144
|
|
|
"""Validate a numpy array and setup a C callback.""" |
145
|
|
|
self = np.ascontiguousarray(array).view(cls) |
146
|
|
|
return self |
147
|
|
|
|
148
|
|
|
@property |
149
|
|
|
def width(self): |
|
|
|
|
150
|
|
|
return self.shape[1] |
|
|
|
|
151
|
|
|
|
152
|
|
|
@property |
153
|
|
|
def height(self): |
|
|
|
|
154
|
|
|
return self.shape[0] |
|
|
|
|
155
|
|
|
|
156
|
|
|
def __repr__(self): |
157
|
|
|
return '%s(%r)' % (self.__class__.__name__, |
158
|
|
|
repr(self.view(np.ndarray))) |
|
|
|
|
159
|
|
|
|
160
|
|
|
def get_tcod_path_ffi(self): |
|
|
|
|
161
|
|
|
if len(self.shape) != 2: |
|
|
|
|
162
|
|
|
raise ValueError('Array must have a 2d shape, shape is %r' % |
163
|
|
|
(self.shape,)) |
|
|
|
|
164
|
|
|
if self.dtype.type not in self._C_ARRAY_CALLBACKS: |
|
|
|
|
165
|
|
|
raise ValueError('dtype must be one of %r, dtype is %r' % |
166
|
|
|
(self._C_ARRAY_CALLBACKS.keys(), self.dtype.type)) |
|
|
|
|
167
|
|
|
|
168
|
|
|
array_type, callback = \ |
169
|
|
|
self._C_ARRAY_CALLBACKS[self.dtype.type] |
|
|
|
|
170
|
|
|
userdata = ffi.new( |
171
|
|
|
'PathCostArray*', |
172
|
|
|
(self.width, ffi.cast(array_type, self.ctypes.data)), |
|
|
|
|
173
|
|
|
) |
174
|
|
|
return callback, userdata, self.width, self.height |
175
|
|
|
|
176
|
|
|
|
177
|
|
|
class _PathFinder(object): |
178
|
|
|
"""A class sharing methods used by AStar and Dijkstra.""" |
179
|
|
|
|
180
|
|
|
def __init__(self, cost, diagonal=1.41): |
181
|
|
|
self.cost = cost |
182
|
|
|
self.diagonal = diagonal |
183
|
|
|
self._path_c = None |
184
|
|
|
self._callback = self._userdata = None |
185
|
|
|
|
186
|
|
|
if hasattr(self.cost, 'map_c'): |
187
|
|
|
self.width, self.height = self.cost.width, self.cost.height |
188
|
|
|
self._path_c = ffi.gc( |
189
|
|
|
self._path_new_using_map(self.cost.map_c, diagonal), |
|
|
|
|
190
|
|
|
self._path_delete, |
191
|
|
|
) |
192
|
|
|
return |
193
|
|
|
|
194
|
|
|
if not hasattr(self.cost, 'get_tcod_path_ffi'): |
195
|
|
|
assert not callable(self.cost), \ |
196
|
|
|
"Any callback alone is missing width & height information. " \ |
197
|
|
|
"Wrap your callback in tcod.path.EdgeCostCallback" |
198
|
|
|
self.cost = NodeCostArray(self.cost) |
199
|
|
|
|
200
|
|
|
self._callback, self._userdata, self.width, self.height = \ |
201
|
|
|
self.cost.get_tcod_path_ffi() |
202
|
|
|
self._path_c = ffi.gc( |
203
|
|
|
self._path_new_using_function( |
204
|
|
|
self.width, |
205
|
|
|
self.height, |
206
|
|
|
self._callback, |
207
|
|
|
self._userdata, |
208
|
|
|
diagonal |
209
|
|
|
), |
210
|
|
|
self._path_delete, |
211
|
|
|
) |
212
|
|
|
|
213
|
|
|
def __repr__(self): |
214
|
|
|
return '%s(cost=%r, diagonal=%r)' % (self.__class__.__name__, |
215
|
|
|
self.cost, self.diagonal) |
216
|
|
|
|
217
|
|
|
def __getstate__(self): |
218
|
|
|
state = self.__dict__.copy() |
219
|
|
|
del state['_path_c'] |
220
|
|
|
del state['width'] |
221
|
|
|
del state['height'] |
222
|
|
|
del state['_callback'] |
223
|
|
|
del state['_userdata'] |
224
|
|
|
return state |
225
|
|
|
|
226
|
|
|
def __setstate__(self, state): |
227
|
|
|
self.__dict__.update(state) |
228
|
|
|
self.__init__(self.cost, self.diagonal) |
229
|
|
|
|
230
|
|
|
_path_new_using_map = lib.TCOD_path_new_using_map |
231
|
|
|
_path_new_using_function = lib.TCOD_path_new_using_function |
232
|
|
|
_path_delete = lib.TCOD_path_delete |
233
|
|
|
|
234
|
|
|
|
235
|
|
|
class AStar(_PathFinder): |
236
|
|
|
""" |
237
|
|
|
Args: |
238
|
|
|
cost (Union[tcod.map.Map, numpy.ndarray, Any]): |
239
|
|
|
diagonal (float): Multiplier for diagonal movement. |
240
|
|
|
A value of 0 will disable diagonal movement entirely. |
241
|
|
|
""" |
242
|
|
|
|
243
|
|
|
def get_path(self, start_x, start_y, goal_x, goal_y): |
244
|
|
|
"""Return a list of (x, y) steps to reach the goal point, if possible. |
245
|
|
|
|
246
|
|
|
Args: |
247
|
|
|
start_x (int): Starting X position. |
248
|
|
|
start_y (int): Starting Y position. |
249
|
|
|
goal_x (int): Destination X position. |
250
|
|
|
goal_y (int): Destination Y position. |
251
|
|
|
Returns: |
252
|
|
|
List[Tuple[int, int]]: |
253
|
|
|
A list of points, or an empty list if there is no valid path. |
254
|
|
|
""" |
255
|
|
|
lib.TCOD_path_compute(self._path_c, start_x, start_y, goal_x, goal_y) |
256
|
|
|
path = [] |
257
|
|
|
x = ffi.new('int[2]') |
|
|
|
|
258
|
|
|
y = x + 1 |
|
|
|
|
259
|
|
|
while lib.TCOD_path_walk(self._path_c, x, y, False): |
260
|
|
|
path.append((x[0], y[0])) |
261
|
|
|
return path |
262
|
|
|
|
263
|
|
|
|
264
|
|
|
class Dijkstra(_PathFinder): |
265
|
|
|
""" |
266
|
|
|
Args: |
267
|
|
|
cost (Union[tcod.map.Map, numpy.ndarray, Any]): |
268
|
|
|
diagonal (float): Multiplier for diagonal movement. |
269
|
|
|
A value of 0 will disable diagonal movement entirely. |
270
|
|
|
""" |
271
|
|
|
|
272
|
|
|
_path_new_using_map = lib.TCOD_dijkstra_new |
273
|
|
|
_path_new_using_function = lib.TCOD_dijkstra_new_using_function |
274
|
|
|
_path_delete = lib.TCOD_dijkstra_delete |
275
|
|
|
|
276
|
|
|
def set_goal(self, x, y): |
|
|
|
|
277
|
|
|
"""Set the goal point and recompute the Dijkstra path-finder. |
278
|
|
|
""" |
279
|
|
|
lib.TCOD_dijkstra_compute(self._path_c, x, y) |
280
|
|
|
|
281
|
|
|
def get_path(self, x, y): |
|
|
|
|
282
|
|
|
"""Return a list of (x, y) steps to reach the goal point, if possible. |
283
|
|
|
""" |
284
|
|
|
lib.TCOD_dijkstra_path_set(self._path_c, x, y) |
285
|
|
|
path = [] |
286
|
|
|
pointer_x = ffi.new('int[2]') |
287
|
|
|
pointer_y = pointer_x + 1 |
288
|
|
|
while lib.TCOD_dijkstra_path_walk(self._path_c, pointer_x, pointer_y): |
289
|
|
|
path.append((pointer_x[0], pointer_y[0])) |
290
|
|
|
return path |
291
|
|
|
|
This can be caused by one of the following:
1. Missing Dependencies
This error could indicate a configuration issue of Pylint. Make sure that your libraries are available by adding the necessary commands.
2. Missing __init__.py files
This error could also result from missing
__init__.py
files in your module folders. Make sure that you place one file in each sub-folder.