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{
"cells": [
{
"cell_type": "code",
"execution_count": 2,
"metadata": {},
"outputs": [
{
"name": "stdout",
"output_type": "stream",
"text": [
"Factor of F_7 is 59649589127497217\n",
"Factor of F_8 is 1238926361552897\n",
"Factor of F_9 is 2424833\n"
]
}
],
"source": [
"# %load ECM.py\n",
"# %load ec3.py\n",
"from math import log\n",
"import pickle\n",
"import gmpy2\n",
"\n",
"with open('primes10000.pickle','rb') as f:\n",
" Primes10000=pickle.load(f)\n",
" \n",
"def ecm(N,arange=100,krange=10000):\n",
" for a in range(-arange,arange):\n",
" x,y=0,1\n",
" for B in Primes10000:\n",
" k=B**(int(log(10000)/log(B)))\n",
" sx,sy,t=x,y,k\n",
" first=True\n",
" while t>0:\n",
" if t%2==1:\n",
" if first:\n",
" xm,ym=sx,sy\n",
" first=False\n",
" else:\n",
" # x1=xm,y1=ym, x2=sx,y2=sy,a=a,b=1,N=N\n",
" d,u,v=gmpy2.gcdext(sx-xm,N)\n",
" if d>1:\n",
" if d==N:\n",
" break\n",
" else:\n",
" return d\n",
" L=(u*(sy-ym)) % N\n",
" x_sum=(L*L-xm-sx) % N\n",
" ym=(L*(xm-x_sum)-ym) % N\n",
" xm=x_sum\n",
" # sx=x,sy=y,a=a,b=1,N\n",
" d,u,v=gmpy2.gcdext(2*sy,N)\n",
" if d>1:\n",
" if d==N:\n",
" break\n",
" else:\n",
" return d\n",
" L=(u*(3*sx*sx+a)) % N\n",
" x2=(L*L-2*sx) % N\n",
" sy=(L*(sx-x2)-sy) %N\n",
" sx=x2\n",
" t=t//2\n",
" x,y=xm,ym\n",
" print('Failed')\n",
"\n",
"\n",
"\n",
"N=2**(128)+1\n",
"print('Factor of F_7 is',ecm(N))\n",
"N=2**(256)+1\n",
"print('Factor of F_8 is',ecm(N))\n",
"N=2**(512)+1\n",
"print('Factor of F_9 is',ecm(N))\n",
"\n"
]
},
{
"cell_type": "code",
"execution_count": 3,
"metadata": {},
"outputs": [
{
"data": {
"text/plain": [
"5529373746539492451469451709955220061537996975706118061624681552800446063738635599565773930892108210210778168305399196915314944498011438291393118209"
]
},
"execution_count": 3,
"metadata": {},
"output_type": "execute_result"
}
],
"source": [
"(2**512+1)//2424833"
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"kernelspec": {
"display_name": "Python 3",
"language": "python",
"name": "python3"
},
"language_info": {
"codemirror_mode": {
"name": "ipython",
"version": 3
},
"file_extension": ".py",
"mimetype": "text/x-python",
"name": "python",
"nbconvert_exporter": "python",
"pygments_lexer": "ipython3",
"version": "3.6.5"
}
},
"nbformat": 4,
"nbformat_minor": 2
}