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boolexp_square_singbit_end.py
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boolexp_square_singbit_end.py
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# -*- coding: utf-8 -*-
"""
Created on Mon Dec 14 23:06:58 2015
@author: aguevarr
"""
from sympy import SOPform, Or, And, Not, Xor
import numpy as np
import pandas as pd
import string
import copy as cp
import pickle
from timeit import default_timer as timer
import matplotlib.pyplot as plt
#do 20 bits
def dec2bin(num,wid):
x=list(np.binary_repr(num,width=wid))
return map(int,x)
#become an object?
def rmme(arr,glob):
if arr in glob:
glob.remove(arr)
return
else:
return
def apme(arr,glob):
if arr in glob:
return
else:
glob.append(arr)
return
def plotit(ymin,ymax):
global inindex,invalues
inindex=[]
invalues=[]
for x in xrange(len(stimes.index)-1):
if (stimes.index[x+1]-stimes.index[x] > 1):
split=(stimes.values[x]/(stimes.index[x+1]-stimes.index[x]))
inindex.append(stimes.index[x])
invalues.append(stimes.values[x])
for y in xrange(1,(stimes.index[x+1]-stimes.index[x])):
inindex.append(stimes.index[x]+y)
invalues.append(split)
else:
inindex.append(stimes.index[x])
invalues.append(stimes.values[x])
plt.ylim(ymin,ymax)
plt.plot(inindex,invalues)
def rolmean(win):
scompl=pd.Series(invalues,index=inindex)
plt.plot(inindex,pd.rolling_mean(scompl,win))
ans=1
noinpbits=13
numxx=11
probe=14
newlength=noinpbits*2
inpmax=(2**noinpbits)-1
ansbin=[dec2bin(ans,newlength)]
for x in xrange(2,inpmax):
ans=x**2
ansbin=np.append(ansbin,[dec2bin(ans,newlength)],axis=0)
dontcares=[dec2bin(0,noinpbits)]
for x in xrange(1,inpmax+1):
dontcares.append(dec2bin(x,noinpbits))
minterms=[]
#generate list of vars
varnames=[]
#for newly inserted variables
for x in xrange(noinpbits-11):
varnames.append('a'+str(x))
for x in xrange(11):
varnames.append('x'+str(x))
vdict={}
stopit=0
no=1
y=0
doneit=0
numx=(2**noinpbits-2)-2**numxx
inputs=[]
for x in xrange(1,inpmax):
inputs.append(dec2bin(x,noinpbits))
start = timer()
for x in xrange(no):
for y in xrange(len(ansbin)):
#for optimization
notrain= y<numx
gtrain= y>numx
if (stopit==1):
stopit=0
print y-1
print timer()-start
#save here
# output = open('funclistv2_b7.pkl', 'wb')
# pickle.dump(funclist,output)
# output.close()
# output = open('mintermsv2_b7.pkl', 'wb')
# pickle.dump(minterms,output)
# output.close()
# output = open('dontcaresv2_b7.pkl', 'wb')
# pickle.dump(dontcares,output)
# output.close()
# stimes.to_csv('stimes_b7.csv')
# start=timer()
break
for zz in xrange(newlength-probe+1,newlength-probe+2):
if (gtrain):
for kk in xrange(len(varnames)):
vdict[varnames[kk]]=inputs[y][kk]
val=funclist.subs(vdict)
if (ansbin[y][zz]==1) and notrain:
apme(inputs[y],minterms)
rmme(inputs[y],dontcares)
continue
elif (ansbin[y][zz]==0) and notrain:
rmme(inputs[y],dontcares)
continue
elif y==numx and doneit==0:
print 'already here'
funclist=SOPform(varnames,minterms,dontcares)
doneit=1
elif (val==True) and (ansbin[y][zz]==1) and gtrain and (y<(2**noinpbits-3)):
apme(inputs[y],minterms)
rmme(inputs[y],dontcares)
# print val
continue
elif (val==False) and (ansbin[y][zz]==0) and gtrain and (y<(2**noinpbits-3)):
rmme(inputs[y],dontcares)
# print val
continue
elif (val==True) and (ansbin[y][zz]==1) and (y==(2**noinpbits-3)):
# print val
print 'learned'
print timer()-start
break
elif (val==False) and (ansbin[y][zz]==0) and (y==(2**noinpbits-3)):
# print val
print 'learned'
print timer()-start
break
else:
stopit=1
print '-->bit '+str(zz)+' y='+str(y)
# if (ansbin[y][zz]==1):
# #minterm
# apme(inputs[y],minterms)
# rmme(inputs[y],dontcares)
# funclist=SOPform(varnames,minterms,dontcares)
# elif (ansbin[y][zz]==0):
# rmme(inputs[y],dontcares)
# funclist=SOPform(varnames,minterms,dontcares)