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Raise bar for multiprocessing, after some performance testing.
[plomrogue2] / plomrogue / mapping.py
index 6708b1bb34eadaa7f92f12fbbe25bf243a22d72a..2b19f565378d278303a4b772bd599f4f94b9f4e8 100644 (file)
@@ -21,6 +21,7 @@ class MapGeometry():
     def __init__(self, size):
         self.size = size
         self.neighbors_i = {}
+        self.directions = self.get_directions()
 
     def get_directions(self):
         directions = []
@@ -32,13 +33,13 @@ class MapGeometry():
 
     def get_neighbors_yxyx(self, yxyx):
         neighbors = {}
-        for direction in self.get_directions():
+        for direction in self.directions:
             neighbors[direction] = self.move_yxyx(yxyx, direction)
         return neighbors
 
     def get_neighbors_yx(self, pos):
         neighbors = {}
-        for direction in self.get_directions():
+        for direction in self.directions:
             neighbors[direction] = self.move_yx(pos, direction)
         return neighbors
 
@@ -210,7 +211,6 @@ class Map():
 class SourcedMap(Map):
 
     def __init__(self, things, source_maps, source_center, radius, get_map):
-        self.source_maps = source_maps
         self.radius = radius
         example_map = get_map(YX(0, 0))
         self.source_geometry = example_map.geometry
@@ -228,12 +228,12 @@ class SourcedMap(Map):
             if yxyx[0] not in obstacles:
                 obstacles[yxyx[0]] = []
             obstacles[yxyx[0]] += [yxyx[1]]
-        for yx in self:
+        for yx in self:  # TODO: iter and source_yxyx expensive, cache earlier?
             big_yx, little_yx = self.source_yxyx(yx)
             if big_yx in obstacles and little_yx in obstacles[big_yx]:
                 self.source_map_segment += 'X'
             else:
-                self.source_map_segment += self.source_maps[big_yx][little_yx]
+                self.source_map_segment += source_maps[big_yx][little_yx]
 
     def source_yxyx(self, yx):
         absolute_yx = yx + self.offset
@@ -257,6 +257,12 @@ class SourcedMap(Map):
 class DijkstraMap(SourcedMap):
 
     def __init__(self, *args, **kwargs):
+        # TODO: check potential optimizations:
+        # - do a first pass circling out from the center
+        # - somehow ignore tiles that have the lowest possible value (we can
+        #   compare with a precalculated map for given starting position)
+        # - check if Python offers more efficient data structures to use here
+        # - shorten radius to nearest possible target
         super().__init__(*args, **kwargs)
         self.terrain = [255] * self.size_i
         self[self.center] = 0
@@ -264,7 +270,7 @@ class DijkstraMap(SourcedMap):
         while shrunk:
             shrunk = False
             for i in range(self.size_i):
-                if self.source_map_segment[i] == 'X':
+                if self.source_map_segment[i] in 'X=':
                     continue
                 neighbors = self.geometry.get_neighbors_i(i)
                 for direction in [d for d in neighbors if neighbors[d]]:
@@ -294,7 +300,14 @@ class FovMap(SourcedMap):
         self.terrain = '?' * self.size_i
         self[self.center] = '.'
         self.shadow_cones = []
+        #self.circle_out(self.center, self.shadow_process)
+
+    def init_terrain(self):
+        # we outsource this to allow multiprocessing some stab at it,
+        # and return it since multiprocessing does not modify its
+        # processing sources
         self.circle_out(self.center, self.shadow_process)
+        return self
 
     def throws_shadow(self, yx):
         return self.source_map_segment[self.get_position_index(yx)] == 'X'