# 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'
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'
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