174 lines
6.1 KiB
Python
174 lines
6.1 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 Sun Sep 10 07:07:28 2023
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@author: astral
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"""
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import sys as _sys
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from sign import sampling as _samp
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from sign import plotting as _plot
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from sign import full_stats as _stats
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import numpy as _np
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import json
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from plot import qtplot
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import gc as _gc
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_dim = 9
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_epsilons = _np.linspace(0.005,0.20,40)
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_noeffects = list(range(1,41,5))
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try:
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_exeps = int(_sys.argv[1])
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_epses=_epsilons[_exeps-1:_exeps]
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_nf = int(_sys.argv[2])
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_nfs = _noeffects[_nf-1:_nf]
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except:
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_epses=_epsilons
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_nfs = list(range(1,41,5))
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_samplemethod = 'allpos_ei'
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_ext = 5000
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_dt=40
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path='/cloud/Public/_data/neuropercolation/4lay/cons=27-knight_steps=1000100/dim=09/batch=0/'
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plotpath = path + _samplemethod + f'_samples={_ext}/'
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savepath = path + _samplemethod + f'_samples={_ext}/dt={_dt}/'
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meanlist = []
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stdlist = []
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integrallist = []
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cohendlist = []
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norm_p_list = []
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ttest_p_list = []
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sign_p_list = []
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resultant_i = []
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resultant_c = []
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for _eps in _epses[11:21]:
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res_evol_i = []
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res_evol_c = []
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for nf in _nfs:
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#_samp(_dim,_eps,_samplemethod,_ext,_dt,noeff=nf)
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resultant_i = []
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resultant_c = []
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for t in range(1,_dt):
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res_i, res_c = _stats(_dim,_eps,_samplemethod,_ext,t,noeff=nf,ret='phases')
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resultant_i.append(res_i)
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resultant_c.append(res_c)
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res_evol_i.append(resultant_i)
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res_evol_c.append(resultant_c)
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# mean,std,integral,cohend,norm_p,ttest_p,sign_p = _stats(_dim,_eps,_samplemethod,_ext,1)
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# meanlist.append(mean)
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# stdlist.append(std)
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# integrallist.append(integral)
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# cohendlist.append(-cohend)
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# norm_p_list.append(norm_p)
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# ttest_p_list.append(ttest_p)
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# sign_p_list.append(sign_p)
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# with open(savepath+f"phasediff_means.txt", 'w', encoding='utf-8') as f:
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# json.dump(meanlist, f, indent=1)
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# with open(savepath+f"phasediff_stds.txt", 'w', encoding='utf-8') as f:
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# json.dump(stdlist, f, indent=1)
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# with open(savepath+f"phasediff_integrals.txt", 'w', encoding='utf-8') as f:
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# json.dump(integrallist, f, indent=1)
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# with open(savepath+f"phasediff_cohends.txt", 'w', encoding='utf-8') as f:
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# json.dump(cohendlist, f, indent=1)
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# with open(savepath+f"phasediff_norm_ps.txt", 'w', encoding='utf-8') as f:
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# json.dump(norm_p_list, f, indent=1)
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# with open(savepath+f"phasediff_ttest_ps.txt", 'w', encoding='utf-8') as f:
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# json.dump(ttest_p_list, f, indent=1)
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# with open(savepath+f"phasediff_sign_ps.txt", 'w', encoding='utf-8') as f:
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# json.dump(sign_p_list, f, indent=1)
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# stdlowlist = [meanlist[eps] - stdlist[eps] for eps in range(len(meanlist))]
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# stdhighlist = [meanlist[eps] + stdlist[eps] for eps in range(len(meanlist))]
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# norm_conf = [1-p for p in norm_p_list]
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# ttest_conf = [1-p for p in ttest_p_list]
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# sign_conf = [1-p for p in sign_p_list]
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res_tot_i = _np.average(res_evol_i,axis=0)
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res_evol_c.append(res_tot_i)
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qtplot(f'Resultant reduction disconnect eps={_eps} dim={_dim} with 4 layers',
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[list(range(_dt-1))]*(len(_nfs)+1),
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res_evol_c,
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[f'{nf} disconnected steps' for nf in _nfs]+['connected steps'],
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x_tag = 'dt',
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y_tag = 'resultant',
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export=True,
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path=plotpath,
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filename=f'Resultant reduction disconnect eps={_eps} dim={_dim} extremes={_ext}.png',
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close=True)
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# qtplot(f'Mean causal phase reduction for dt={_dt} dim={_dim} with 4 layers',
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# [_epsilons]*3,
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# [stdlowlist, stdhighlist, meanlist],
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# ['Low standard deviation',
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# 'High standard deviation',
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# 'Mean'],
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# colors=['r','r','g'],
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# x_tag = f'noise level {chr(949)}',
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# y_tag = 'abs phase reduction',
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# export=True,
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# path=savepath,
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# filename=f'Mean phase reduction dim={_dim} extremes={_ext}.png',
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# close=True)
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# qtplot(f'Phase reduction probability for dt={_dt} dim={_dim} with 4 layers',
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# [_epsilons],
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# [integrallist],
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# ['probability of phase reduction'],
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# x_tag = f'noise level {chr(949)}',
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# y_tag = 'abs phase reduction',
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# export=True,
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# path=savepath,
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# filename=f'Probability of phase reduction dim={_dim} extremes={_ext}.png',
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# close=True)
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# qtplot(f'Effect size phase reduction for dt={_dt} dim={_dim} with 4 layers',
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# [_epsilons],
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# [cohendlist],
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# ["Absolute Cohen's d (negative)"],
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# x_tag = f'noise level {chr(949)}',
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# y_tag = 'effect size',
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# x_range = (0,0.2),
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# # y_range = (0.05,1),
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# y_log = True,
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# export=True,
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# path=savepath,
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# filename=f'Effect size phase reduction dim={_dim} extremes={_ext}.png',
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# close=False)
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# qtplot(f'Test p-values for dt={_dt} dim={_dim} with 4 layers',
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# [_epsilons]*5,
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# [[0.001 for eps in _epsilons],[0.0001 for eps in _epsilons],
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# norm_p_list,ttest_p_list,sign_p_list],
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# ['0.001 limit','0.0001 limit',
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# 'p-value for normality', 'p-value for mean difference', 'p-value for median'],
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# x_tag = f'noise level {chr(949)}',
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# y_tag = 'p-value',
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# y_range = (0,0.01),
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# lw=2,
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# export=True,
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# path=savepath,
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# filename=f'P-values phase reduction dim={_dim} extremes={_ext}.png',
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# close=True)
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# qtplot(f'Test confidences for dt={_dt} dim={_dim} with 4 layers',
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# [_epsilons]*5,
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# [[0.999 for eps in _epsilons],[0.9999 for eps in _epsilons],
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# norm_conf,ttest_conf,sign_conf],
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# ['0.999 limit', '0.999 limit',
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# 'confidence for normality', 'confidence for mean difference', 'confidence for median'],
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# x_tag = f'noise level {chr(949)}',
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# y_tag = 'confidence´',
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# y_range = (0.99,1),
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# lw=2,
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# export=True,
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# path=savepath,
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# filename=f'Confidences phase reduction dim={_dim} extremes={_ext}.png',
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# close=True)
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