import sys
from time import sleep
import random
sys.path.append('..')
sys.path.append('../../..')
import Evolife.Scenarii.Parameters as EPar
import Evolife.Ecology.Observer as EO
import Evolife.Ecology.Individual as EI
import Evolife.Ecology.Group as EG
import Evolife.Ecology.Population as EP
import Evolife.QtGraphics.Evolife_Window as EW
import Evolife.Tools.Tools as ET
print(ET.boost()) # significantly accelerates python on some platforms
from Antnet import Antnet_Observer, Node, Network, Ant, Group, Population
#################################################
# Aspect of ants, food and pheromons on display
#################################################
LinkAspect = ('green5', 2) # 2 = thickness
AntAspect = ('black', 5) # 4 = size
AntAspectWhenOld = ('red5', 4) # 4 = size
PPAspect = (17, 2) # 17th colour
class City(Node):
def __init__(self, Name, Location):
Node.__init__(self, Name, Location)
Evolife.QtGraphics.Evolife_Batch.Start(Population.One_Run, Observer)
# writing header to result file
open(Observer.get_info('ResultFile')+'.res','w').write(Observer.get_info('ResultHeader'))
return
####################
# Interactive mode
####################
print __doc__
" launching window "
# Evolife.QtGraphics.Evolife_Window.Start(Pop.One_Run, Observer, Capabilities='FNCP', Options=[('BackGround','grey')])
Evolife.QtGraphics.Evolife_Window.Start(Population.One_Run, Observer, Capabilities='FNCP', Options=[('BackGround','lightblue')])
print "Bye......."
sleep(2.1)
return
if __name__ == "__main__":
ET.boost() # A technical trick that sometimes provides impressive speeding up with Python up to 2.6
Observer = Social_Observer(Gbl.Parameters) # Observer contains statistics
Observer.setOutputDir('___Results')
Observer.recordInfo('DefaultViews', ['Field', 'Network']) # Evolife should start with that window open
Pop = Population(Gbl.Param('NbAgents'), Observer) # population of agents
Start(BatchMode=Gbl.Param('BatchMode'))
__author__ = 'Dessalles'
for M in Ntwrk.TestMessages:
for link in M.erase():
Observer.recordChanges(
link, Slot='Trajectories') # display of message route
Route = M.draw(MaxPath=Ntwrk.Size)
self.Observer.MsgLength[M] = len(Route)
for link in Route:
Observer.recordChanges(
link, Slot='Trajectories') # display of message route
# print (year, self.AllMoved, Moves),
return self.SimulationEnd > 0 # stops the simulation when True
if __name__ == "__main__":
print(__doc__)
print(ET.boost()) # significantly accelerates python on some platforms
#############################
# Global objects #
#############################
Gbl = EPar.Parameters('_Params.evo') # Loading global parameter values
Observer = Antnet_Observer(Gbl) # Observer contains statistics
Ntwrk = Network(Size=Gbl.Parameter('DisplaySize'),
NbNodes=Gbl.Parameter('NumberOfNodes'))
Pop = AntPopulation(Gbl, Observer, Ntwrk.nodes()) # Ant colony
# Initial draw
Observer.recordInfo('FieldWallpaper', 'yellow')
Observer.recordInfo('TrajectoriesWallpaper', 'lightblue')
Observer.recordInfo('DefaultViews', ['Field', 'Trajectories'])
Observer.recordChanges(
from time import sleep
import random
import cmath
sys.path.append('..')
sys.path.append('../../..')
import Evolife.Scenarii.Parameters as EPar
import Evolife.Ecology.Observer as EO
import Evolife.Ecology.Individual as EI
import Evolife.Ecology.Group as EG
import Evolife.Ecology.Population as EP
import Evolife.QtGraphics.Evolife_Window as EW
import Evolife.Tools.Tools as ET
import Landscapes
print ET.boost() # significWalkerly accelerates python on some platforms
# two functions to convert from complex numbers into (x,y) coordinates
c2t = lambda c: (int(round(c.real)),int(round(c.imag))) # converts a complex into a couple
t2c = lambda (x,y): complex(x,y) # converts a couple into a complex
#################################################
# Aspect of Walkers and pheromone on display
#################################################
# WalkerAspect = ('black', 6)
# PheromonAspect = (17, 2)
WalkerAspect = ('white', 1)
PheromonAspect = ('white', 4)
""" Cellular Automaton:
"""
import sys
sys.path.append('../../..')
import Evolife.Ecology.Observer as EO
import Evolife.QtGraphics.Evolife_Window as EW
import Evolife.Tools.Tools as ET
import Evolife.Scenarii.Parameters as EPar
print ET.boost() # A technical trick that sometimes provides impressive speeding up
import random
class Rule:
" defines all possible automaton rules "
def __init__(self, RuleNumber):
" convert the rule number into a list of bits "
# For each configuration number (3-bit for three-cell neighbourhood --> 8 configurations),
# the rule gives the new binary state of the cell.
# Attention: the following line is only valid for 8 configurations
self.Rule = [int(b) for b in list(bin(RuleNumber)[2:].rjust(8,'0'))]
# example: rule 32 --> 00100000
self.Rule.reverse()
# example: rule 32 --> 00000100
# -------------------------------------------------------------------------- #
# License: Creative Commons BY-NC-SA #
##############################################################################
""" 2D Cellular Automaton with coloring mutation:
Modified by Cybill Clerger
"""
import sys
sys.path.append('../../..')
import Evolife.Ecology.Observer as EO
import Evolife.QtGraphics.Evolife_Window as EW
import Evolife.Tools.Tools as ET
import Evolife.Scenarii.Parameters as EPar
print ET.boost(
) # A technical trick that sometimes provides impressive speeding up
import random
import math
class Rule:
" defines all possible automaton rules "
def __init__(self, RuleNumber):
" convert the rule number into a list of bits "
# For each configuration number (9-bit for nine-cell neighbourhood --> 512 configurations),
# the rule gives the new binary state of the cell.
self.Rule = [int(b) for b in list(bin(RuleNumber)[2:].rjust(512, '0'))]
self.Rule.reverse()
# if this configuration is absent at the beginning, an all-0 state emerges.
