92 lines
2.3 KiB
Python
92 lines
2.3 KiB
Python
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# -*- coding: utf-8 -*-
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"""
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Created on Tue Aug 30 14:25:12 2022
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@author: timof
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"""
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import sys
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import os
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import json
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from plot import qtplot
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from phi import MIP,calc_mips,smartMIP
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import math as m
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import numpy as np
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from datetime import datetime
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vect = np.vectorize
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@vect
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def log2(x):
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try:
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return m.log2(x)
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except ValueError:
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if x==0:
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return float(0)
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else:
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raise
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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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return path
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path = '/cloud/Public/_data/neuropercolation/1lay/steps=1000100/'
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suffix = ''
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chi = chr(967)
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vareps = chr(949)
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varphi = chr(981)
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vals = [[],[]]
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runsteps = 1000100
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eps_space = np.linspace(0.005, 0.5, 100)
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eps_space = eps_space[1::2]
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dims = list(range(3,10))#+[16,49]
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mode='density'
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ma=[]
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s=[]
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k=[]
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mk=[]
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lastkurt=None
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phinum=10000
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PHIS=[]
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for dim in dims[:1]:
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dimpath = new_folder(path + f'dim={dim:02}/')
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for epsilon in eps_space:
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try:
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with open(dimpath+f"eps={round(epsilon,3):.3f}_phi_{phinum}.txt", 'r', encoding='utf-8') as f:
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phis=json.load(f)
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PHIS.append(np.average(phis))
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print(f'Loaded and Done eps={epsilon:.3f} with dim={dim} at {datetime.now()}')
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except:
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with open(dimpath+f"eps={round(epsilon,3):.3f}_states.txt", 'r', encoding='utf-8') as f:
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states = np.array(json.load(f)[100:phinum+100])
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phis = [smartMIP(dim,state.translate(str.maketrans('','','.-=')),epsilon)[1] for state in states]
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with open(dimpath+f"eps={round(epsilon,3):.3f}_phi_{phinum}.txt", 'w', encoding='utf-8') as f:
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json.dump(phis, f, indent=1)
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PHIS.append(np.average(phis))
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print(f'Generated and Done eps={epsilon:.3f} with dim={dim} at {datetime.now()}')
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#%%
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qtplot(f"Average phi for different noise parameters",
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[eps_space],
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[PHIS],
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[''],
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colors='w',
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x_tag = f'noise level {vareps}',
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y_tag = f'effect integration {varphi}',
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export=False,
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path=dimpath+"evolution/",
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filename=f'eps={round(epsilon,3):.3f}_evolution.png',
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close=False)
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mode = 'density'
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#%%
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