# -*- coding: utf-8 -*- """ Created on Tue Aug 30 14:25:12 2022 @author: timof """ import sys import os import json from plot import qtplot from phi import MIP,calc_mips,smartMIP import math as m import numpy as np from datetime import datetime vect = np.vectorize @vect def log2(x): try: return m.log2(x) except ValueError: if x==0: return float(0) else: raise def new_folder(path): if not os.path.exists(path): os.makedirs(path) return path path = '/cloud/Public/_data/neuropercolation/1lay/steps=1000100/' suffix = '' chi = chr(967) vareps = chr(949) varphi = chr(981) vals = [[],[]] runsteps = 1000100 eps_space = np.linspace(0.005, 0.5, 100) eps_space = eps_space[1::2] dims = list(range(3,10))#+[16,49] mode='density' ma=[] s=[] k=[] mk=[] lastkurt=None phinum=10000 PHIS=[] for dim in dims[:1]: dimpath = new_folder(path + f'dim={dim:02}/') for epsilon in eps_space: try: with open(dimpath+f"eps={round(epsilon,3):.3f}_phi_{phinum}.txt", 'r', encoding='utf-8') as f: phis=json.load(f) PHIS.append(np.average(phis)) print(f'Loaded and Done eps={epsilon:.3f} with dim={dim} at {datetime.now()}') except: with open(dimpath+f"eps={round(epsilon,3):.3f}_states.txt", 'r', encoding='utf-8') as f: states = np.array(json.load(f)[100:phinum+100]) phis = [smartMIP(dim,state.translate(str.maketrans('','','.-=')),epsilon)[1] for state in states] with open(dimpath+f"eps={round(epsilon,3):.3f}_phi_{phinum}.txt", 'w', encoding='utf-8') as f: json.dump(phis, f, indent=1) PHIS.append(np.average(phis)) print(f'Generated and Done eps={epsilon:.3f} with dim={dim} at {datetime.now()}') #%% qtplot(f"Average phi for different noise parameters", [eps_space], [PHIS], [''], colors='w', x_tag = f'noise level {vareps}', y_tag = f'effect integration {varphi}', export=False, path=dimpath+"evolution/", filename=f'eps={round(epsilon,3):.3f}_evolution.png', close=False) mode = 'density' #%%