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authorSpitfireX <timm.weber@me.com>2015-08-14 13:12:49 +0200
committerSpitfireX <timm.weber@me.com>2015-08-14 13:12:49 +0200
commitbee4caca932f0fbd8f9f1c546583a0431e4145fb (patch)
tree51e517ff265e275bb606783025c28dc2329e0cfc /strategy.py
parentd82cca770dc0f1c6ecb900e2b8907abd2b52200d (diff)
Added new strategy
Strategy based on a set amount of angle intervals and their weights. Cell will always go to the angle with the most positive weight.
Diffstat (limited to 'strategy.py')
-rw-r--r--strategy.py122
1 files changed, 40 insertions, 82 deletions
diff --git a/strategy.py b/strategy.py
index 0d2d8f0..093172a 100644
--- a/strategy.py
+++ b/strategy.py
@@ -102,92 +102,50 @@ class Strategy:
else:
return 0
+ def weight_cells(self, cells):
+ weight = 0
+ for cell in cells:
+ if cell not in self.c.player.own_cells: #probably unnecessary but list filtering didnt work
+ weight += self.weight_cell(cell)
+ return weight
+
def process_frame(self):
- runaway = False
+ intervals = []
- my_smallest = min(map(lambda cell : cell.mass, self.c.player.own_cells))
- my_largest = max(map(lambda cell : cell.mass, self.c.player.own_cells))
-
-
- # enemy/virus avoidance
- forbidden_intervals = []
- for cell in self.c.world.cells.values():
- relpos = ((cell.pos[0]-self.c.player.center[0]),(cell.pos[1]-self.c.player.center[1]))
- dist = math.sqrt(relpos[0]**2+relpos[1]**2)
-
- if (not cell.is_virus and dist < ((500+2*cell.size) if cell.mass > 1.25*my_smallest*2 else (300+cell.size)) and cell.mass > 1.25 * my_smallest) or (cell.is_virus and dist < my_largest and cell.mass < my_largest):
- angle = math.atan2(relpos[1],relpos[0])
- corridor_halfwidth = math.asin(cell.size / dist)
- forbidden_intervals += canonicalize_angle_interval((angle-corridor_halfwidth, angle+corridor_halfwidth))
- runaway = True
+ last = math.radians(45)
+ num = 36
+ for i in range(num):
+ ang = last + math.radians((360/num))
+ intervals.append([last, ang])
+ last = ang
- # wall avoidance
- if self.c.player.center[0] < self.c.world.top_left[1]+(self.c.player.total_size*2):
- forbidden_intervals += [(0.5*pi, 1.5*pi)]
- if self.c.player.center[0] > self.c.world.bottom_right[1]-(self.c.player.total_size*2):
- forbidden_intervals += [(0,0.5*pi), (1.5*pi, 2*pi)]
- if self.c.player.center[1] < self.c.world.top_left[0]+(self.c.player.total_size*2):
- forbidden_intervals += [(pi, 2*pi)]
- if self.c.player.center[1] > self.c.world.bottom_right[0]-(self.c.player.total_size*2):
- forbidden_intervals += [(0, pi)]
+ cells = list(map(lambda x: get_cells_in_interval(self.c.player.center, x, self.c.world.cells.values()), intervals))
+ cells = list(filter(lambda x: x not in self.c.player.own_cells, cells))
- # if there's actually an enemy to avoid:
- if (runaway):
- # find the largest non-forbidden interval, and run into this direction.
-
- forbidden_intervals = merge_intervals(forbidden_intervals)
-
- allowed_intervals = invert_angle_intervals(forbidden_intervals)
-
- (a,b) = find_largest_angle_interval(allowed_intervals)
- runaway_angle = (a+b)/2
- runaway_x, runaway_y = (self.c.player.center[0]+int(100*math.cos(runaway_angle))), (self.c.player.center[1]+int(100*math.sin(runaway_angle)))
-
- self.target = (runaway_x, runaway_y)
- self.has_target = False
- self.target_cell = None
-
- self.color = (255,0,0)
- print ("Running away: " + str((runaway_x-self.c.player.center[0], runaway_y-self.c.player.center[1])))
-
- # a bit of debugging information
- for i in forbidden_intervals:
- gui.draw_arc(self.c.player.center, self.c.player.total_size+10, i, (255,0,255))
-
- # if however there's no enemy to avoid, chase food or jizz randomly around
- else:
- if self.target_cell != None:
- self.target = tuple(self.target_cell.pos)
- if self.target_cell not in self.c.world.cells.values() or not self.edible(self.target_cell):
- self.target_cell = None
- self.has_target = False
- print("target_cell does not exist any more")
- elif self.target == tuple(self.c.player.center):
- self.has_target = False
- print("Reached random destination")
-
- if not self.has_target:
- food = list(filter(self.edible, self.c.world.cells.values()))
- food = sorted(food, key = self.quality)
-
- if len(food) > 0:
- self.target = (food[0].pos[0], food[0].pos[1])
- self.target_cell = food[0]
-
- self.has_target = True
- self.color = (0,0,255)
- print("weight: ", self.weight_cell(self.target_cell))
- print("Found food at: " + str(food[0].pos))
- else:
- rx = self.c.player.center[0] + random.randrange(-400, 401)
- ry = self.c.player.center[1] + random.randrange(-400, 401)
- self.target = (rx, ry)
- self.has_target = True
- self.color = (0,255,0)
- print("Nothing to do, heading to random targetination: " + str((rx, ry)))
+ weights = list(map(lambda x: self.weight_cells(x), cells))
-
- # more debugging
- gui.draw_line(self.c.player.center, self.target, self.color)
+ zipped = zip(intervals, weights)
+ zipped = sorted(zipped, key = lambda x: x[1], reverse = True)
+
+ bi = zipped[0][0]
+ ang = bi[0] + ((bi[1] - bi[0]) / 2)
+
+ tx = self.c.player.center[0] + (200*math.cos(ang))
+ ty = self.c.player.center[1] + (200*math.sin(ang))
+ self.target = (tx, ty)
+
+ def gradient(value):
+ return (255-value, value, 0)
+
+ def mapped_gradient(min, max, value):
+ i = max - min
+ s = 255/i
+ v = abs(int(value*s))
+ return gradient(v)
+
+ for z in zipped:
+ gui.draw_arc(self.c.player.center, 200, z[0], mapped_gradient(zipped[0][1], zipped[-1][1], z[1]))
+ gui.draw_line(self.c.player.center, self.target, (255,0,0))
+ gui.draw_arc(self.c.player.center, 210, bi, (255,0,0))
return self.target