32 lines
997 B
Python
32 lines
997 B
Python
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#!/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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from datetime import datetime
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import numpy as np
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from neuropercolation import Simulate4Layers
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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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for batch in range(1,5):
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for dim in [7]:
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for eps in eps_space[1:41:2]:
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eps = round(eps,3)
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cons = [(n,n) for n in range(dim)]+[(n,(n+3)%7) for n in range(dim)]
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sim = Simulate4Layers(dim,
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eps,
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coupling=cons,
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steps=stp,
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draw=None,
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res=2,
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save='simple',
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path=f'/cloud/Public/_data/neuropercolation/4lay/cons={len(cons)}_steps={stp}/dim={dim:02}/batch={batch}/',
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)
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print(f'Done eps={eps:.3f} with dim={dim} at {datetime.now()}')
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