37 lines
1.1 KiB
Python
37 lines
1.1 KiB
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 Simulate2Layers, 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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for dim in [8]:
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for eps in eps_space:
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eps = round(eps,3)
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sim = Simulate4Layers(dim,
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eps,
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steps=100100,
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draw=None,
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save='all',
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path=f'/cloud/Public/_data/neuropercolation/4lay/steps=100100/dim={dim:02}/',
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)
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print(f'Done eps={eps:.3f} with dim={dim} at {datetime.now()}')
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for eps in eps_space:
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eps = round(eps,3)
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sim = Simulate2Layers(dim,
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eps,
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steps=100100,
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draw=None,
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save='all',
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path=f'/cloud/Public/_data/neuropercolation/2lay/steps=100100/dim={dim:02}/',
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)
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print(f'Done eps={eps:.3f} with dim={dim} at {datetime.now()}')
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