neuropercolation/evaluation/4Layer Resultant.py
2023-12-14 19:49:44 +00:00

107 lines
2.9 KiB
Python

#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Mon Aug 21 14:59:22 2023
@author: timofej
"""
import os
import json
import math as m
import numpy as np
from numpy.linalg import norm
from datetime import datetime
from random import sample as choose
from plot import qtplot
eps_space = list(np.linspace(0.005,0.5,100))
def resultant(sample):
phase_x = [m.cos(ind) for ind in sample]
phase_y = [m.sin(ind) for ind in sample]
return (np.average(phase_x), np.average(phase_y))
def H2(x):
return -x*m.log2(x)-(1-x)*m.log2(1-x)
def new_folder(p):
if not os.path.exists(p):
os.makedirs(p)
return p
extremes = None
maxdt = 300
path=f'/cloud/Public/_data/neuropercolation/4lay/steps=100000_diares_manydim/'
dims = list(range(7,9))
resus = []
phalocks = []
for dim in dims:
resu = []
phalock = []
for eps in eps_space:
dimpath=f'/cloud/Public/_data/neuropercolation/4lay/steps=100000_diares_manydim/dim={dim:02d}/'
try:
with open(dimpath+f"eps={round(eps,3):.3f}_phase_diff.txt", 'r', encoding='utf-8') as f:
phase_diff = json.load(f)
except:
with open(dimpath+f"eps={round(eps,3):.3f}_activation.txt", 'r', encoding='utf-8') as f:
activation = json.load(f)[100:]
osc = list(zip(*activation))
phase = np.array([[np.arctan2(*act[::-1]) for act in osc[i]] for i in range(2)])
phase_diff = (phase[1]-phase[0]+m.pi)%(2*m.pi)-m.pi
with open(dimpath+f"eps={round(eps,3):.3f}_phase_diff.txt", 'w', encoding='utf-8') as f:
json.dump(list(phase_diff), f, indent=1)
all_res = norm(resultant(phase_diff))
av_diff = np.arccos(all_res)
all_pha = np.arctan2(*resultant(phase_diff)[::-1])
resu.append(all_res)
phalock.append(all_pha)
plotpath = new_folder(dimpath + 'resplot/')
with open(plotpath+f"resultants.txt", 'w', encoding='utf-8') as f:
json.dump(list(resu), f, indent=1)
with open(plotpath+f"mainphase.txt", 'w', encoding='utf-8') as f:
json.dump(list(phalock), f, indent=1)
resus.append(resu)
phalocks.append(phalock)
plotspath = new_folder(path + 'resplot/')
#%%
qtplot(f'Resultant evolution with 4 layers',
[eps_space]*len(dims),
resus,
[f'Resultant for size {dim}x{dim}' for dim in dims],
x_tag = 'epsilon',
y_tag = 'resultant',
lw=3,
export=True,
path=plotspath,
filename=f'resultant.png',
close=False)
qtplot(f'Dominant phase evolution with 4 layers',
[eps_space]*len(dims),
phalocks,
[f'dominant phase for size {dim}x{dim}' for dim in dims],
x_tag = 'epsilon',
y_tag = 'resultant',
lw=3,
export=True,
path=plotspath,
filename=f'mainphase.png',
close=True)