from plot import qtplot
import json
import math as ma
import numpy as np

path='/cloud/Public/_data/neuropercolation/4lay/cons=27-knight_steps=1000100_diares/dim=09/batch=0/samedist_varmaxpha_causal_roll0.031/'
eps_sp=np.linspace(0.01,0.2,20)
eps_ep=eps_sp[3:4]

extremes=200
strength=200

savepath=path+f'extremes={extremes}_bootstrength={strength}/'

boots=[]
for eps in eps_ep:
    
    with open(savepath+f'eps={eps:.3f}_dt=60_bootstrap.txt','r') as f:
        
        confs=list(zip(*json.load(f)))[1]
        ps=[1-conf for conf in confs]
        boots.append(ps)
        



   
qtplot("Bootstrapping confidence",[range(61)]*len(eps_sp),boots,[f'{eps}' for eps in eps_sp],y_tag='p-value',y_log=False)