def Start(Gbl=None, PopClass=Population, ObsClass=None, Capabilities='PCGFN'):
" Launch function "
if Gbl == None: Gbl = Scenario()
if ObsClass == None:
Observer = EO.EvolifeObserver(Gbl) # Observer contains statistics
Pop = PopClass(Gbl, Observer)
BatchMode = Gbl.Parameter('BatchMode')
if BatchMode: # Non-graphic mode (for large-scale experiments)
EB.Start(Pop.one_year, Observer)
else:
EW.Start(Pop.one_year, Observer, Capabilities=Capabilities)
if not BatchMode: print("Bye.......")
sleep(2.1)
return
def Start(Gbl=None,
PopClass=Patriotic_Population,
ObsClass=None,
Capabilities='FGCNP'):
" Launch function "
if Gbl == None: Gbl = Scenario()
if ObsClass == None:
Observer = EO.EvolifeObserver(Gbl) # Observer contains statistics
Pop = PopClass(Gbl, Observer)
BatchMode = Gbl.Parameter('BatchMode')
if BatchMode:
EB.Start(Pop.one_year, Observer)
else:
EW.Start(Pop.one_year, Observer, Capabilities=Capabilities)
if not BatchMode: print("Bye.......")
sleep(2.1)
return
def Start(Gbl = None, PopClass = Population, ObsClass = None, Capabilities = 'FGCNP'):
" Launch function "
if Gbl == None: Gbl = Scenario()
if ObsClass == None: Observer = EO.EvolifeObserver(Gbl) # Observer contains statistics
Pop = PopClass(Gbl, Observer)
BatchMode = Gbl.Parameter('BatchMode')
if BatchMode:
EB.Start(Pop.one_year, Observer)
else:
Views = []
if 'F' in Capabilities: Views.append(('Field', 500, 350)) # start with 'Field' window on screen
if 'T' in Capabilities: Views.append(('Trajectories', 500, 350)) # 'Trajectories' on screen
if 'N' in Capabilities: Views.append(('Network', 500, 150)) # 'Network' on screen
Observer.recordInfo('DefaultViews', Views) # Evolife should start with these window open
EW.Start(Pop.one_year, Observer, Capabilities=Capabilities, Options=[('Background','green11')])
if not BatchMode: print("Bye.......")
time.sleep(2.1)
return
NewState = self.EvolveCell(C)
self.VPosition += 1
return True
return False
if __name__ == "__main__":
print(__doc__)
#############################
# Global objects #
#############################
Scenario = CA_Scenario('_Params.evo')
CAutomaton = Automaton(Scenario) # logical settlement grid
Observer = EO.Generic_Observer() # Observer records display orders
Observer.recordInfo('FieldWallpaper', 'white')
margin = 4 # horizontal margins in the window
zoom = 4
Observer.recordInfo('DefaultViews',
[('Field', CAutomaton.Size * zoom + 2 * margin)])
EW.Start(
CAutomaton.OneStep, Observer, Capabilities='RP'
) # R means that only changed positions have to be displayed; P enables photos
print("Bye.......")
__author__ = 'Dessalles'
# calling local class
return Individual(self.Scenario,
ID=self.free_ID(Prefix=''),
Newborn=Newborn)
class Population(EP.EvolifePopulation):
" Calls local class when creating group "
def createGroup(self, ID=0, Size=0):
return Group(self.Scenario, ID=ID, Size=Size) # local class
if __name__ == "__main__":
Gbl = Scenario()
Obs = EO.EvolifeObserver(Gbl)
Pop = Population(Scenario=Gbl, Evolife_Obs=Obs)
if Gbl['BatchMode'] == 0: print(__doc__)
# launching windows
# See Evolife_Window.py for details
Capabilities = 'FGCP' # F = 'Field'; G = 'Genomes'; C = 'Curves';
Views = []
if 'F' in Capabilities:
Views.append(
('Field', 500, 350)) # start with 'Field' window on screen
if 'T' in Capabilities:
Views.append(('Trajectories', 500, 350)) # 'Trajectories' on screen
Obs.recordInfo('DefaultViews',
Views) # Evolife should start with these window open
EW.Start(SimulationStep=Pop.one_year,
# if Satisfactions:
# self.Observer.curve(Name='Global Satisfaction', Value=sum([S for (C,S) in Satisfactions])/len(Satisfactions))
if self.CallsSinceLastMove > 10 * self.popSize:
return False # situation is probably stable
return True # simulation goes on
if __name__ == "__main__":
print(__doc__)
#############################
# Global objects #
#############################
Gbl = Scenario()
Observer = EO.Observer(Gbl) # Observer contains statistics
Land = Landscapes.Landscape(
Gbl.Parameter('LandSize')) # logical settlement grid
Land.setAdmissible(Gbl.Colours)
Pop = Population(Gbl, Observer)
# Observer.recordInfo('Background', 'white')
Observer.recordInfo('FieldWallpaper', 'white')
# declaration of curves
for Col in Gbl.Colours:
Observer.curve(Name='%s Satisfaction' % str(Col),
Color=Col,
Legend='average satisfaction of %s individuals' %
str(Col))
# Observer.curve(Name='Global Satisfaction', Color='black', Legend='average global satisfaction')
# find last file
CsvFiles = glob.glob('___Results/*.csv')
if CsvFiles:
CsvFiles.sort(key=lambda x: os.stat(x).st_mtime)
Files = [CsvFiles[-1]]
elif len(Args) > 3:
print('''Usage: %s <curve file name> [<constant config file name>]''' %
os.path.basename(Args[0]))
else:
Files = glob.glob(Args[1])
ConstantConfigFileName = Args[2] if (len(Args) == 3) else None
for Argfile in Files:
yield (Argfile, ConstantConfigFileName)
if __name__ == "__main__":
for (Argfile, ConstantConfigFileName) in Parse(sys.argv):
if Argfile:
Observer = EO.Generic_Observer('')
plot = Plot(Argfile, Observer, ConstantConfigFileName)
print(plot.RelevantParam if plot.RelevantParam else plot.Cfg)
Cap = 'CFP' if plot.FieldDisplay else 'CP'
EW.Start(plot.one_plot,
plot.Obs,
Capabilities=Cap,
Options=[('Run', 'Yes'),
('ExitOnEnd', 'No')]) # start Evolife display
if plot.FieldDisplay: plot.save()
__author__ = 'Dessalles'
if len(Land.ActiveCells) == 0: return False
return True
if __name__ == "__main__":
print(__doc__)
#############################
# Global objects #
#############################
Gbl = EPar.Parameters(CfgFile='_Params.evo')
Gbl.P = lambda x: Gbl.Parameter(x) # to shorten writings
Observer = EO.Experiment_Observer(Gbl) # Observer contains statistics
# Observer.recordInfo('Background', 'white')
# Observer.recordInfo('FieldWallpaper', 'white')
Observer.recordInfo('Background', 'white')
PhysicalSize = Gbl.P('DotSize') * Gbl.P('LandSize')
Observer.recordInfo('DefaultViews',
[('Field', PhysicalSize, PhysicalSize),
('Trajectories', PhysicalSize, PhysicalSize)])
Observer.record([(0, Gbl.P('LandSize'), 2, 0),
(Gbl.P('LandSize'), 0, 2, 0)]) # to resize
Observer.record([(0, Gbl.P('LandSize'), 2, 0),
(Gbl.P('LandSize'), 0, 2, 0)],
Window='Trajectories') # to resize
Land = Landscape(Gbl.P('LandSize'), (Gbl.P('Da'), Gbl.P('Db')),
(Gbl.P('MaxA'), Gbl.P('MaxB')),
import sys
sys.path.append('')
import numpy as np
import time
import random
import math
import Evolife.QtGraphics.Evolife_Window as EW
import Evolife.Ecology.Observer as EO
######
# Actions :
# 0 : duck, 1 : do nothing 2 : jump
# constants
Obs = EO.Generic_Observer()
pop_size = 100
number_kept = 1
grid_length = 150
big_grid_length = 50
grid_width = 3
turns_predict = 2
n_inputs = grid_width * turns_predict + 1
n_outputs = 3
n_hidden = 10
first_pow = 0
number_grids = 1
gene_size = 3
dna_size = gene_size * (n_inputs + n_outputs) * n_hidden
mutation_rate = 0.005