58 lines
1.7 KiB
Python
58 lines
1.7 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Fri Aug 18 19:05:04 2023
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@author: astral
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"""
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import os
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from datetime import datetime
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import numpy as np
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from neuropercolation import Simulate4Layers
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def new_folder(path):
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if not os.path.exists(path):
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os.makedirs(path)
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eps_space = np.linspace(0.005,0.5,100)
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#eps_space = np.linspace(0.135,0.15,4)
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stp = 1000100
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dims = range(9,10)
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batches = 1
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path = f'/cloud/Public/_data/neuropercolation/4lay/cons=27-knight_steps=1000100_diares/dim=09/batch=0/'
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for dim in dims:
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con_gap = 3
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cons = [(n,(2*n+m)%dim) for n in range(dim) for m in range(0,dim-2,con_gap)]
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dimpath = path + f'dim={dim:02}_cons={len(cons)}/'
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max_bat=0
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# for file in os.listdir(dimpath):
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# f = os.path.join(dimpath, file)
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# if not os.path.isfile(f):
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# bat = file.replace('batch=','')
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# if bat != file and int(bat)+1 > max_bat:
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# max_bat = int(bat)+1
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for batch in range(max_bat, max_bat+batches):
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savepath = dimpath + f'batch={batch}'
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new_folder(savepath)
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for eps in [0.3]:#list(eps_space[61::2]):
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eps = round(eps,3)
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initstate = [[0,0],[0,0]]
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sim = Simulate4Layers(dim,
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eps,
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coupling=cons,
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init=initstate,
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steps=stp,
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noeffect=-1,
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#fps=20,
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draw=None,
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res=6,
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save='all',
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path=path,
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)
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print(f'Done eps={eps:.3f} with dim={dim} at {datetime.now()}') |