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import time
from collections import defaultdict
import pickle
class Stats:
def __init__(self,c):
self.c = c
self.min_mass = 0
self.max_mass = 0
self.current_mass = 0
self.mass_history = []
self.pos_history = []
self.cell_aggressivity = {}
self.cell_split_frequency = {}
self.cell_defensiveness = {}
self.size_vs_speed = defaultdict(lambda : defaultdict(lambda : 0))
self.size_vs_visible_window = defaultdict(lambda : [])
self.mass_vs_visible_window = defaultdict(lambda : [])
def log_mass(self, mass):
self.mass_history.append((time.time(), mass))
self.current_mass = mass
if mass > self.max_mass:
self.max_mass = mass
if mass < self.min_mass:
self.min_mass = mass
def log_pos(self, pos):
self.pos_history.append((time.time(), (pos[0], pos[1])))
def update_cell_aggressivity(self, cell, value):
self.cell_aggressivity[cell] = value
def update_cell_split_frequency(self, cell, value):
self.cell_split_frequency[cell] = value
def update_cell_defensiveness(self, cell, value):
self.cell_defensiveness[cell] = value
def get_last_steps(self, list, steps = 10):
return list[-steps:]
def process_frame(self):
self.log_pos(self.c.player.center)
self.log_mass(self.c.player.total_mass)
cells = self.c.world.cells.values()
own_cells = self.c.player.own_cells
own_total_size = sum( map(lambda cell : cell.size, own_cells) )
own_total_mass = sum( map(lambda cell : cell.mass, own_cells) )
n = 3
for cell in filter(lambda cell : not cell.is_food and not cell.is_virus and not cell.is_ejected_mass, cells):
if hasattr(cell,'poslog') and len(cell.poslog) > n+1:
cellspeed = 0
for i in range(1,n+1):
cellspeed += (cell.poslog[-i] - cell.poslog[-i-1]).len() / n
cellspeed = int(cellspeed)
self.size_vs_speed[cell.size][cellspeed] += 1
visible_width = max( map(lambda cell : cell.pos.x - cell.size, cells) ) - min( map(lambda cell : cell.pos.x + cell.size, cells) )
visible_height = max( map(lambda cell : cell.pos.y - cell.size, cells) ) - min( map(lambda cell : cell.pos.y + cell.size, cells) )
self.size_vs_visible_window[own_total_size].append((visible_width,visible_height))
self.mass_vs_visible_window[own_total_mass].append((visible_width,visible_height))
def save(self,filename):
pickle.dump(self, open(filename,"wb"))
def load(filename):
return pickle.load(open(filename,"rb"))
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