107 lines
2.9 KiB
Python
107 lines
2.9 KiB
Python
#!/usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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Created on Mon Aug 21 14:59:22 2023
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@author: astral
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"""
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import os
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import json
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import math as m
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import numpy as np
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from numpy.linalg import norm
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from datetime import datetime
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from random import sample as choose
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from plot import qtplot
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eps_space = list(np.linspace(0.005,0.5,100))
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def resultant(sample):
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phase_x = [m.cos(ind) for ind in sample]
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phase_y = [m.sin(ind) for ind in sample]
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return (np.average(phase_x), np.average(phase_y))
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def H2(x):
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return -x*m.log2(x)-(1-x)*m.log2(1-x)
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def new_folder(p):
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if not os.path.exists(p):
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os.makedirs(p)
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return p
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extremes = None
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maxdt = 300
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path=f'/cloud/Public/_data/neuropercolation/4lay/steps=100000_diares_manydim/'
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dims = list(range(7,9))
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resus = []
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phalocks = []
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for dim in dims:
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resu = []
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phalock = []
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for eps in eps_space:
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dimpath=f'/cloud/Public/_data/neuropercolation/4lay/steps=100000_diares_manydim/dim={dim:02d}/'
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try:
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with open(dimpath+f"eps={round(eps,3):.3f}_phase_diff.txt", 'r', encoding='utf-8') as f:
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phase_diff = json.load(f)
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except:
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with open(dimpath+f"eps={round(eps,3):.3f}_activation.txt", 'r', encoding='utf-8') as f:
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activation = json.load(f)[100:]
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osc = list(zip(*activation))
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phase = np.array([[np.arctan2(*act[::-1]) for act in osc[i]] for i in range(2)])
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phase_diff = (phase[1]-phase[0]+m.pi)%(2*m.pi)-m.pi
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with open(dimpath+f"eps={round(eps,3):.3f}_phase_diff.txt", 'w', encoding='utf-8') as f:
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json.dump(list(phase_diff), f, indent=1)
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all_res = norm(resultant(phase_diff))
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av_diff = np.arccos(all_res)
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all_pha = np.arctan2(*resultant(phase_diff)[::-1])
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resu.append(all_res)
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phalock.append(all_pha)
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plotpath = new_folder(dimpath + 'resplot/')
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with open(plotpath+f"resultants.txt", 'w', encoding='utf-8') as f:
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json.dump(list(resu), f, indent=1)
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with open(plotpath+f"mainphase.txt", 'w', encoding='utf-8') as f:
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json.dump(list(phalock), f, indent=1)
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resus.append(resu)
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phalocks.append(phalock)
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plotspath = new_folder(path + 'resplot/')
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#%%
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qtplot(f'Resultant evolution with 4 layers',
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[eps_space]*len(dims),
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resus,
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[f'Resultant for size {dim}x{dim}' for dim in dims],
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x_tag = 'epsilon',
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y_tag = 'resultant',
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lw=3,
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export=True,
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path=plotspath,
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filename=f'resultant.png',
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close=False)
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qtplot(f'Dominant phase evolution with 4 layers',
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[eps_space]*len(dims),
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phalocks,
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[f'dominant phase for size {dim}x{dim}' for dim in dims],
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x_tag = 'epsilon',
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y_tag = 'resultant',
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lw=3,
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export=True,
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path=plotspath,
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filename=f'mainphase.png',
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close=True)
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