#!/usr/bin/env python3 # -*- coding: utf-8 -*- """ Created on Sun Sep 10 07:07:28 2023 @author: astral """ import sys as _sys from sign import sampling as _samp from sign import plotting as _plot from sign import full_stats as _stats import numpy as _np import json from plot import qtplot import gc as _gc _dim = 9 _epsilons = _np.linspace(0.005,0.20,40) _noeffects = list(range(1,41,5)) try: _exeps = int(_sys.argv[1]) _epses=_epsilons[_exeps-1:_exeps] _nf = int(_sys.argv[2]) _nfs = _noeffects[_nf-1:_nf] except: _epses=_epsilons _nfs = list(range(1,41,5)) _samplemethod = 'allpos_ei' _ext = 5000 _dt=40 path='/cloud/Public/_data/neuropercolation/4lay/cons=27-knight_steps=1000100/dim=09/batch=0/' plotpath = path + _samplemethod + f'_samples={_ext}/' savepath = path + _samplemethod + f'_samples={_ext}/dt={_dt}/' meanlist = [] stdlist = [] integrallist = [] cohendlist = [] norm_p_list = [] ttest_p_list = [] sign_p_list = [] resultant_i = [] resultant_c = [] for _eps in _epses[11:21]: res_evol_i = [] res_evol_c = [] for nf in _nfs: #_samp(_dim,_eps,_samplemethod,_ext,_dt,noeff=nf) resultant_i = [] resultant_c = [] for t in range(1,_dt): res_i, res_c = _stats(_dim,_eps,_samplemethod,_ext,t,noeff=nf,ret='phases') resultant_i.append(res_i) resultant_c.append(res_c) res_evol_i.append(resultant_i) res_evol_c.append(resultant_c) # mean,std,integral,cohend,norm_p,ttest_p,sign_p = _stats(_dim,_eps,_samplemethod,_ext,1) # meanlist.append(mean) # stdlist.append(std) # integrallist.append(integral) # cohendlist.append(-cohend) # norm_p_list.append(norm_p) # ttest_p_list.append(ttest_p) # sign_p_list.append(sign_p) with open(savepath+f"phasediff_means.txt", 'w', encoding='utf-8') as f: json.dump(meanlist, f, indent=1) with open(savepath+f"phasediff_stds.txt", 'w', encoding='utf-8') as f: json.dump(stdlist, f, indent=1) with open(savepath+f"phasediff_integrals.txt", 'w', encoding='utf-8') as f: json.dump(integrallist, f, indent=1) with open(savepath+f"phasediff_cohends.txt", 'w', encoding='utf-8') as f: json.dump(cohendlist, f, indent=1) with open(savepath+f"phasediff_norm_ps.txt", 'w', encoding='utf-8') as f: json.dump(norm_p_list, f, indent=1) with open(savepath+f"phasediff_ttest_ps.txt", 'w', encoding='utf-8') as f: json.dump(ttest_p_list, f, indent=1) with open(savepath+f"phasediff_sign_ps.txt", 'w', encoding='utf-8') as f: json.dump(sign_p_list, f, indent=1) # stdlowlist = [meanlist[eps] - stdlist[eps] for eps in range(len(meanlist))] # stdhighlist = [meanlist[eps] + stdlist[eps] for eps in range(len(meanlist))] # norm_conf = [1-p for p in norm_p_list] # ttest_conf = [1-p for p in ttest_p_list] # sign_conf = [1-p for p in sign_p_list] res_tot_i = _np.average(res_evol_i,axis=0) res_evol_c.append(res_tot_i) qtplot(f'Resultant reduction disconnect eps={_eps} dim={_dim} with 4 layers', [list(range(_dt-1))]*(len(_nfs)+1), res_evol_c, [f'{nf} disconnected steps' for nf in _nfs]+['connected steps'], x_tag = 'dt', y_tag = 'resultant', export=True, path=plotpath, filename=f'Resultant reduction disconnect eps={_eps} dim={_dim} extremes={_ext}.png', close=True) qtplot(f'Mean causal phase reduction for dt={_dt} dim={_dim} with 4 layers', [_epsilons]*3, [stdlowlist, stdhighlist, meanlist], ['Low standard deviation', 'High standard deviation', 'Mean'], colors=['r','r','g'], x_tag = f'noise level {chr(949)}', y_tag = 'abs phase reduction', export=True, path=savepath, filename=f'Mean phase reduction dim={_dim} extremes={_ext}.png', close=True) # qtplot(f'Phase reduction probability for dt={_dt} dim={_dim} with 4 layers', # [_epsilons], # [integrallist], # ['probability of phase reduction'], # x_tag = f'noise level {chr(949)}', # y_tag = 'abs phase reduction', # export=True, # path=savepath, # filename=f'Probability of phase reduction dim={_dim} extremes={_ext}.png', # close=True) # qtplot(f'Effect size phase reduction for dt={_dt} dim={_dim} with 4 layers', # [_epsilons], # [cohendlist], # ["Absolute Cohen's d (negative)"], # x_tag = f'noise level {chr(949)}', # y_tag = 'effect size', # x_range = (0,0.2), # # y_range = (0.05,1), # y_log = True, # export=True, # path=savepath, # filename=f'Effect size phase reduction dim={_dim} extremes={_ext}.png', # close=False) # qtplot(f'Test p-values for dt={_dt} dim={_dim} with 4 layers', # [_epsilons]*5, # [[0.001 for eps in _epsilons],[0.0001 for eps in _epsilons], # norm_p_list,ttest_p_list,sign_p_list], # ['0.001 limit','0.0001 limit', # 'p-value for normality', 'p-value for mean difference', 'p-value for median'], # x_tag = f'noise level {chr(949)}', # y_tag = 'p-value', # y_range = (0,0.01), # lw=2, # export=True, # path=savepath, # filename=f'P-values phase reduction dim={_dim} extremes={_ext}.png', # close=True) # qtplot(f'Test confidences for dt={_dt} dim={_dim} with 4 layers', # [_epsilons]*5, # [[0.999 for eps in _epsilons],[0.9999 for eps in _epsilons], # norm_conf,ttest_conf,sign_conf], # ['0.999 limit', '0.999 limit', # 'confidence for normality', 'confidence for mean difference', 'confidence for median'], # x_tag = f'noise level {chr(949)}', # y_tag = 'confidence´', # y_range = (0.99,1), # lw=2, # export=True, # path=savepath, # filename=f'Confidences phase reduction dim={_dim} extremes={_ext}.png', # close=True)