notebook_old.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Found: /opt/mcr/v96/runtime/glnxa64:/opt/mcr/v96/bin/glnxa64:/opt/mcr/v96/sys/os/glnxa64\n",
      "Interface opened\n"
     ]
    }
   ],
   "source": [
    "import os\n",
    "import site\n",
    "site.addsitedir(os.environ['HOME'] + '/.local/lib/python3.6/site-packages')\n",
    "\n",
    "try:\n",
    "    %load_ext ipython_magic\n",
    "except:\n",
    "    import sys\n",
    "    def ensure_dir(file_path):\n",
    "        directory = os.path.dirname(file_path)\n",
    "        if not os.path.exists(directory):\n",
    "            os.makedirs(directory)\n",
    "    os.environ['PYTHONUSERBASE']=os.environ['HOME'] + '/.local'\n",
    "    ensure_dir(os.environ['PYTHONUSERBASE'])\n",
    "    os.chdir('../')\n",
    "    !{sys.executable} setup.py install --user\n",
    "    os.chdir('examples')\n",
    "    site.addsitedir(os.environ['HOME'] + '/.local/lib/python3.6/site-packages')\n",
    "    %load_ext ipython_magic"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [],
   "source": [
    "m = %getProcess"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [],
   "source": [
    "s = m.spinw()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "[[ 3.  3.  3. 90. 90. 90.]]\n"
     ]
    }
   ],
   "source": [
    "print(s.abc())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [],
   "source": [
    "s.genlattice('lat_const', [3, 8, 8], 'angled', [90, 90, 90])\n",
    "s.addatom('r', [0, 0, 0], label='MCu2')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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xsbG9e/fmnoJi27Vr1+HDh3NPAdAi1BoAZ42OjuYegWIbGRkZHx/PPQVAi1BrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawDUlEql7u7u3FNQbEuXLu3s7Mw9BUCLaM89AABRtLW1rVmzJvcUFNv69esHBgZyTwHQIpxbAwAAiKhUqVRyzwAAAEAz59YAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawDUdHV17d69O/cUFNv999+/efPm3FMAtAi1BkDNyZMnh4eHc09BsQ0ODh49ejT3FAAtQq0BUDM+Pt7f3597CortwIEDR44cyT0FQItQawDUVCqVgYGB3FNQbL29vcePH889BUCLUGsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEbXnHgCAKNrb2zds2JB7Copt69at4+PjuacAaBHOrQEAAETk3BoANdu3b1+3bl3uKSi2e+65Z9OmTbmnAGgRpUqlknsGAAAAmnknJAAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaADV33313T09P7ikotoceemjHjh25pwBoEWoNgJqdO3ceOnQo9xQU2xNPPPHwww/nngKgRag1AM4aGRnJPQLFdurUKasIYKaoNQBqxsbG9u3bl3sKim3Pnj19fX25pwBoEWoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BkBNuVxevXp17ikotrVr13Z3d+eeAqBFqDUAasrl8pIlS3JPQbGtXLmyq6sr9xQALaI99wAARLFx48bly5fnnoJi27Rp0+joaO4pAFpEqVKp5J4BAACAZt4JCQAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGQM3u3buHhoZyT0Gx9ff379+/P/cUAC1CrQFQs2XLlueeey73FBTbAw88sG3bttxTALQItQYAABCRWgOgZmxsbO/evbmnoNh27dp1+PDh3FMAtAi1BsBZo6OjuUeg2EZGRsbHx3NPAdAi1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaADWlUqm7uzv3FBTb0qVLOzs7c08B0CLacw8AQBRtbW1r1qzJPQXFtn79+oGBgdxTALQI59YAAAAiKlUqldwzAAAA0My5NQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaADVdXV27d+/OPQXFdv/992/evDn3FAAtQq0BUHPy5Mnh4eHcU1Bsg4ODR48ezT0FQItQawDUjI+P9/f3556CYjtw4MCRI0dyTwHQItQaADWVSmVgYCD3FBRbb2/v8ePHc08B0CLUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBE7bkHACCK9vb2DRs25J6CYtu6dev4+HjuKQBahHNrAAAAETm3BkDN9u3b161bl3sKiu2ee+7ZtGlT7ikAWkSpUqnkngEAAIBm3gkJAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQZAzd13393T05N7CortoYce2rFjR+4pAFqEWgOgZufOnYcOHco9BcX2xBNPPPzww7mnAGgRag2As0ZGRnKPQLGdOnXKKgKYKWoNgJqxsbF9+/blnoJi27NnT19fX+4pAFqEWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BUFMul1evXp17Copt7dq13d3duacAaBFqDYCacrm8ZMmS3FNQbCtXruzq6so9BUCLaM89AABRbNy4cfny5bmnoNg2bdo0OjqaewqAFlGqVCq5ZwAAAKCZd0ICAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQFQs3v37qGhodxTUGz9/f379+/PPQVAi1BrANRs2bLlueeeyz0FxfbAAw9s27Yt9xQALUKtAQAARKTWAKgZGxvbu3dv7ikotl27dh0+fDj3FAAtQq0BcNbo6GjuESi2kZGR8fHx3FMAtAi1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQZATalU6u7uzj0FxbZ06dLOzs7cUwC0iPbcAwAQRVtb25o1a3JPQbGtX79+YGAg9xQALcK5NQAAgIhKlUol9wwAAAA0c24NAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQZATVdX1+7du3NPQbHdf//9mzdvzj0FQItQawDUnDx5cnh4OPcUFNvg4ODRo0dzTwHQItQaADXj4+P9/f25p6DYDhw4cOTIkdxTALQItQZATaVSGRgYyD0Fxdbb23v8+PHcUwC0CLUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEFF77gEAiKK9vX3Dhg25p6DYtm7dOj4+nnsKgBbh3BoAAEBEzq0BULN9+/Z169blnoJiu+eeezZt2pR7CoAWUapUKrlnAAAAoJl3QgIAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAVBz99139/T05J6CYnvooYd27NiRewqAFqHWAKjZuXPnoUOHck9BsT3xxBMPP/xw7ikAWoRaA+CskZGR3CNQbKdOnbKKAGaKWgOgZmxsbN++fbmnoNj27NnT19eXewqAFqHWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BrAdHz4wx8ulUr33Xdf7kEAgJal1gAAACJSawAAABGpNQAAgIjUGgAAQERqDeCyjI2NffGLX7z55pvnzZu3cOHC97///Y8//njuoQCAVqDWAKbv9OnTH/jAB77whS/87Gc/u+qqq0ZGRr7//e/feeedf/iHf5h7tOkol8urV6/OPQXFtnbt2u7u7txTALQItQYwfd/4xjeeffbZr3/96ydPnnz99ddff/31T37ykyml3//93y/iGbZyubxkyZLcU1BsK1eu7Orqyj0FQItQawDTd+rUqS9/+cuf+MQnyuVySmnx4sV/+Zd/eeedd6aUPv/5z+ee7pJt3Lhx+fLluaeg2DZt2rRly5bcUwC0iFKlUsk9A0DxfPjDH37kkUeWL1/e19dXTbW6Z5999r3vfW9K6ac//elNN92UaUAAoPCcWwOYvjvuuKMp1VJKt9566/z581NKL7zwQo6hAIAWodYApu98V3ktW7YspXT8+PHZHQcAaClqDWD6Jp5Yq6pW3NGjR2d3HACgpag1gOk7duzYpMdffvnllNJb3/rWWZ0GAGgtag1g+n74wx9OPNjX11etuBUrVsz6RABA61BrANP3gx/84F/+5V+aDj744IMppSVLltxxxx05hgIAWoRaA7gsH/3oR/v7++tPn3zyyS996Usppc997nPnu6oNAGAq2nMPAFBgd9555zPPPHPjjTd+8IMfvPrqq19++eXHHnsspbRly5YdO3bkng4AKDb/7wswfWvXrv3+97+/evXqv/mbv/na175WTbWPfexjjz32WHt78f47bPfu3UNDQ7mnoNj6+/v379+fewqAFlGqVCq5ZwAovB/96Ec/+9nPyuXyLbfcUtybi3R0dDz55JNbt27NPQgF9ju/8zv/+I//+OKLL+YeBKAVFO+/fgECuvnmm2+++ebcUwAALcU7IQGoGRsb27t3b+4pKLZdu3YdPnw49xQALUKtAXDW6Oho7hEotpGRkfHx8dxTALQItQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGQE2pVOru7s49BcW2dOnSzs7O3FMAtIj23AMAEEVbW9uaNWtyT0GxrV+/fmBgIPcUAC3CuTUAAICISpVKJfcMAC2itL1U+TN/qQIAM8O5NYAZc93a63KPAAC0DrUGMDNK7y7lHgEAaClqDWCG3JD+dPuf5h4CAGgdag1gJpX+gzNsAMDMUGsAM8oHTQEAM0StAcwAF60BADNOrQHMhLekUrdgAwBmkloDmElu4g8AzBS1BnC5Su8upWsanrrRCAAwE9QawEwr7I1Gurq6du/enXsKiu3+++/fvHlz7ikAWoRaA6Dm5MmTw8PDuaeg2AYHB48ePZp7CoAWodYALttbcg8wQ8bHx/v7+3NPQbEdOHDgyJEjuacAaBFqDeCyTHrv/oJeulapVAYGBnJPQbH19vYeP3489xQALUKtAVy2a8555raQAMCMUGsAV0BhbzQCAMSh1gAAACJSawDTV3p36Xy3GCnopWsAQBxqDWAGlLq1GQAww9QawJXh0jUA4PKoNYBpqt27/9wbQv7p9j/NMgwA0HrUGsDMq97E36VrAMDlUGsAl+E8txgBALh8ag0AACAitQYwHbWL1i7MjUYAgMug1gAuwzUX+bpL1wCAaVNrANPlojUA4EpSawBXRPW2kAAA06bWAC7ZlC5aAwC4PGoN4HKVus8fb50uXQMApkmtAQAARNSeewCAgqm9DfItF78hZOG0t7dv2LAh9xQU29atW8fHx3NPAdAi1BrApan8S6Xxaem2UmWokrpSSuk3f/c3h8aHKuOVyoOVyX8xAMCUqTUAarZv375u3brcU1Bs99xzz6ZNm3JPAdAiSpWK/wAGmL7SbaW0NFXPrS1YusC5NQBgprjLCAAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaADV33313T09P7ikotoceemjHjh25pwBoEWoNgJqdO3ceOnQo9xQU2xNPPPHwww/nngKgRag1AM4aGRnJPQLFdurUKasIYKaoNQBqxsbG9u3bl3sKim3Pnj19fX25pwBoEWoNAAAgIrUGAAAQkVoDAACISK0BUPPnv3VD7hFoBf/tY9fnHgGgRZQqlUruGQAKrHRbKS1NqSullBYsXTA0PlQZr1QeLNJfrTs+dF1KafU18xsPfuYbbjfCpZm4kKwigMuk1gAuS6FrbdJOa2S3zVRceCFZRQDTptYALktBa+1T719VfbD1hu7zvWbxgrZjQ+Mppd/86o9naSyK5qILySoCuByuWwOYc6o77MUL2hcvaD96YnTS13Qvai+XS1d3tqWU/vt/fNeszkdBXHQhWUUAl0mtAcwtn3r/qur2un6kaZ/dvai9e9HZr17d2XZ1Z5utNk0aF9Kaa+anyRZS/bFVBDA9ag1gDqnuvBtTxwAAG29JREFUsOtP15y50Ki+z27cYTey1aZR00Kqm3Qhlcul6oOrO9u+/XvvnoXxAFqGWgOYKz6+dcWkO+yqoydG/+3XLnRlUfX9bNC0kNace3ORiy4kwQYwdWoNYA7pGxyZ9HhHe7mjvZxSuuvLL9z15Rfqx+tnRVJKw2Onv3KvD2QjpfMspOoqmnQhNbKQAKZOrQHMLX2DI9WtdvWUSH173ahpqz08dnp47HRKaUX3vFmclIhuv7F278fGYJt0FaWGhVTN/vpCAmCK1BrAnFDfZFf1DY68emx00h12XXWr/eapscaDzopQ1zc4sqBj8k5rVF1ITZ1mIQFMxXkvYACghXW0lVJKvUeHVy4570dj/91nN1YfDI+ent/hf/dobv7qKuo7Orzi/KsonVlII1YRwKVTawBzS3WHXdd7dDil1NRs9U6rE2w0alpFfUeHU0oTm61pIVlFAJdKrQG0vvopkaZNdl3jSbaJqVZV3WofGDj12V9bc+P/+YWJL1i2bNnb3va2poNr1qx5+9vf3njkqaeemvhrf/jDH17wT1DT0dFx0003NR1cvHjxu999zm0G9+/fPzAw0PSyn//85ydPnpzKd7n++uuvuuqqpoPvec97Ojs7608HBwd/9KMfNb3m9ddff+WVV6byLXL9rObPn3/LLbc0Hpn0Z3Xo0KHBwcFJf9vrli043ypqarZJF1JjsH3l3ht+95v7L/LHAJjbSpVKJfcMAAVWuq2UlqbUlVJKC5YuGBofqoxXKg/G+qu1Xmvr3rawfnD1Nc1nQhYvaLt2+dVNB0eGhxuf/qT3ZErpi9/umfhdSqVSW1vzXf7vuuuuRx55pPFIR0fHxF87NjY28eCk2tub/59x5cqVPT3nzLN58+Yf/OAH0/4WbW1tpVJzkDz99NONnfNXf/VXn/70p5tec/r06dOnp3QXjVw/q4ULF77xxhuNRyb9WY2Pj0/cHmy9oav6oHEVrZmwilJKV19sIVVXUUrpv/7vly/4JwCY69QawGUpRK2lyYKtsdZGxk6nlN5ydUdKqWmf3bjJ7jkyfGJ4PNlkz1UTV1FTrQ1PYSHVV1GykAAuxtvHAeaWF3/R/G7AkXNv1ndw4NjBgWNNr+k5MtxzpLbbtsNm4iqaeHf+8y2k+mMLCeCi1BrAnFPfao+MnR45z+dfNW61G3fYzGX/vO/sxWyNwXaBT1GzkAAuh1oDmIte/MXJH/Q0n/eY6ODAsWd+/mbjEedDqHvxFyf/v55jU/nAawsJYHrcExJgTvjnfYNNH5Y1eGLsx6+cSCm9a9Wiia8/2HAapG9weEX3hT5QiznrwqsoWUgAl8e5NYC57sevnKhuuKsOHhk+OOEda32Dwyml+s0hmLMa3wzZqGkVpXMX0ukztzSrLiQApsi5NQBSSunHr5wYGavcuGJh48HTDfcN7hsc/vPvHZ71uYhu8MRY96LadqIabNcvW3CB11tIAFPn3BrAXHG+syJVI2OVlNK+vsk/P/qlgSE7bKouupCaVlFj81tIAJdErQHMIU377METtc9ZrqZa1cRge2lg6EoPRrGcL9jqC2nSVfTSwNCjz792ZScDaC1qDWBumbjPbky1qupW+3SlUt1hp5RssmnSuJCq2d+0kBqDTfADTE+pUmn+RxqAqSvdVkpLU+pKKaUFSxcMjQ9VxiuVB6P/1dp0f8jzWbygdj2SWmNSU1lIVhHAtKk1gMtS0FpLUw62C1+kBFNZSFYRwPS4JyTAHNW4gW7acNtbM3UWEsCVo9YAsKtmZlhIADPLXUYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAImrPPQBAS/gfO1NKp1JKqTv9h62Zhwnsu6XSv6lUck8BAMVQqvhXE+AylEr/z5mHb0sppdRdfVKp/EqWeYL7YanU2/BUuQHABag1gGkqlf7LmYerU0pNtZbS/ErlPbM9U3g9pdKbDU/r5SbbAGAitQYwHaXSv0/p2jPPJtba/OoXBFuTnlKp6Ug93pQbADRRawDTUSr9+5TSucE2sdZOp5Qqlc2zPFto731vSqnn2WfP9/VqvFXLTbYBMMepNYBLVip9KKVlZ55dm9KbKf00pb0pvZLSWEqdKd2S0ntTuiulef9vujXnrMFsuXXyn8ak/Rah3I4fP/6tb33r8ccff+aZZ/r7+8fGxpYsWXLHHXfcd999v/IrLk0E4MpSawCXrFT60JmHy1J6OaWnUhpJKaXUkVJHSkPVs2op/VlKG1JKP0p35Bgzonf95/9ce/TYYxd9cVPCvZlS76xn21e/+tXPfOYzKaW2trbOzs6U0okTJ6pf+oM/+IMHHnhgNocBYK5RawCXpiHVUkpHUno6pZTStSndm9KvpTQ/pbGUnk/puyndkdLNKaUX5/1allEDescXvjDVl06Wc/V+m7Vy++u//usXXnjh13/912+55ZZyuZxS6u/v/5M/+ZM//uM/Tik9/fTTt91225WeAYA5S60BXJpza+3JlI6ndE1KW1J6T0r/OqWOlE40vOC1lNLexb8zy0OGdePv/d7M/EZnWq7ab3tn/Zzbfffd9xd/8Rcf/ehH//Zv/3Y2vy8Ac4paA7g0DbVWP7H2r1LqSimltC6la1Na2fRLvp1+Y9bGC27xFfudX0rp383iv2jf+c53tm3b1tXVNTg4OGvfFIC5pj33AADFdTSllFLHmVRLKb046esOzM44RfDL0/2FL537dN+ZBz9O6duVSkrpfdOeaQp+8pOfPPXUU3v27BkaGqoe6e3tTSm98cYbV/LbAjDXqTWAS1OpfPvM6bXjKaWUrjn36wfPPKjf3D/tnYWxCuJ8tfbSeY5X7Wt4/JOUKmcKbRa8+uqrH//4x7/73e/OzrcDgEZqDWDaJg2G4ZQOpnTtmWy79oPps6/M6lShXbjK0rlhVvWTlNKZn/WsRVrdnXfeuWfPnmuvvXb79u3vfOc7N2zY0NXVlVL6h3/4hw9+8IOzPAwAc41aA5i26kdgn5jsSwfPnFs7OPuBEdk3SqXGpxPbrCpvodU9+eSTe/bs6ejoeOaZZ1asWNH4per9IQHgilJrAJfszJshu1NKKZ1IaSSleQ1fH05pfkOwcdaF8yw1nK+MULkHDhxIKb3vfe9rSrWU0v79+3NMBMDcotYApqNS+XaptC2ltpTGU/pZSu+c7FUHK5X/NduTFUfMQpvo1VdfbToyNjb24IMPZhkGgDlFrQFMU6XyaKm0PqW9Kf08pQUpXd/wxeGUjr344v+dbbioilJoVWvXrk0pvfDCCzt37rzrrruqB4eGhu699959+853mhAAZozPWwO4LB/5yEe+9a1vpZTWrVt32223LVq06NixY08//fSBAwf+6Z/+6fbbb889YCwfOnPdWuRIa3Tbbbc988wzKaVt27Zde+21J06c+Pu///ve3t7f/u3f/vrXv55S8s8oAFeOWgO4XF/5yle+9KUvVT+Aq+6OO+745je/uWrVqlxTMSNeffXVT3ziE48++mj9yOrVq//oj/5o2bJlH/jAB5JaA+BKUmsAM+P5558/ePDg6dOnOzs7f/VXf7WzszP3RMyYnp6eF1544fTp06tWrbrllltyjwPAXKHWAAAAIvJxMQAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABEpNYAAAAiUmsAAAARqTUAAICI1BoAAEBEag0AACAitQYAABCRWgMAAIhIrQEAAESk1gAAACJSawAAABGpNQAAgIjUGgAAQERqDQAAICK1BgAAEJFaAwAAiEitAQAARKTWAAAAIlJrAAAAEak1AACAiNQaAABARGoNAAAgIrUGAAAQkVoDAACISK0BAABE1N745LHHHjt69GiuUbgk7e3tv/Ebv5F7CgAA4Eo5W2vf+973Pv/5z69duzbjNEzdgQMHBgcHP/nJT+YeBAAAuCLO1tqbb765atWqRx55JOM0TN3nPve51157LfcUAADAleK6NQAAgIjUGgAAQETtF3/JpfjI5uVvX7rg1ncsTimlUnr7NfNGxodv/79+NLPfBQAAoOXNTK3dfmP3jSsXppS6F7W/a9XC40Nj1y/r7FrUnlKle9GifX98a0ppdDS9OTq+5T89NyPfEQAAoLVd7jshb7+x+/Ybu1NKrx0bvWp+2zveuvDV46PvXLVowby2kdHKWxfPv6qzff68tnKpPH9eefG8tl3/5T0zMTYAAECLu6xaq3ZaSmlee/kdyxa0l0qvvTHyrtWLXjs+unhh+3XLOtvKpQUd5avnlzvby23lVCqn+R3lZwUbAADAxUy/1uqptmBeW1u51H9sZGFn240rF/YdHV6/cuH89tKJ4fHuhe0L57e1l8qd88sdbeWrO9vK5ZQq6en/9H/M0PwAAACtaZq1Vk+1lNKp/7+9e42tskr3AP5f77625VbHdjhFjXFQAtTShmCjVStESQawiSQSsalaEzGn6IlockLMmGhMiDWSOMzRE0isClYw44wSK1ctFaI1kB1EGeRSOwynAr3R7rb78l7WWufDWzYMtLC7eblY/r/wYbH3et/17H57stZ6HkvedEMo4DMAdPbb0wpyTvZYk3JDk3JDAAKGCAWNgE8orW2ps4O+nLChgR0vF3vyA4iIiIiIiEalEWdrqYtqZ+vst8J+IxwwAPyzKwmBUzEHQDhg+HzC7xNaIyvo8xvCbwglkR00gn5fIxM2IiIiIiKiYXjQb80whLux1nbKnDYpZ0zYN/n3WT6BcMgHQ8AQ0MgKGn6fcJQ2HRUOGYYQUmutxbblTNiIiIiIiIiGMLJs7fxdNVc07oSDRjhgtHYkABzrNm8YE1RSpyb4DWE7KitoGEIYQlhSZQWNgF8YQvz9v2Zcyg8gIiIiIiIalTzot+Y3BIDjveYD03IFMHF8cFyWD4BUMPwAYEklFbJDvrgpLUcB8AlILQwhpFLZYfHX5wsf/culdtA+fPjwsWPH3PG9994bDoeHnHbw4MG2tjZ3/MADD/j9w/4FIpHIgQMHIpGI4zg333zzlClTysvLc3NzLzFOAAcOHNi7d28kEkkmk9OmTSspKSkrK7v01xIRERER0WgygmxtuI01y1G35WcB6Oqz8sYFAfTEnMAf/oCTv8I2obSbpwFIWCo76ItZEoAhtFQ65DdMW+kh3ztCq1ateuedd9xxXV1ddXX1kNMee+yxffv2ueP+/v4xY8acP2fdunWvv/76kSNHzvnc5/PNmzdvxYoVhYWFmQW5fPny9evXp7LKlKlTp7733nt33313Zq8lIiIiIqLRx4O9NQCnYvYNOQEAnX1WwlYTxwchBApuxtGW1JykpQwDSsMQwpbQGgCEgNQ66Dfq/3N65f/+w5NgAKxdu3bIbO3HH39MpWpDUkpVVVV9/PHHAAKBQEVFxeTJk2+//faffvqppaVly5YtX3zxxaZNm+LxeDAYzCCw2tpaAKFQaMGCBfn5+QDa2to2bdr0888/l5eXb9++vby8PIPXEhERERHR6JNutjbcxlrKqZjdlwgW5AYBnIxaU8v+B9iCo3+GEJalTNvNzmAIWI4KBYykrWyloSAAASjtyQYbJk6c6DhOU1NTa2vrbbfdds63H3zwAYCSkpK9e/cO+Xh1dbWbqi1ZsuSNN94459xjZ2dnbW3typUrMw5v+vTpL730UlVV1dknMH/44YeHHnqoq6vr2WefPXjwYMYvJyIiIiKi0cSDmpAABpIy5DcAHO+x+uJObrYfEMAfTUtZltTQAAwhkrZKWAqAAGxHQQMCUkFqHfB7E4lhGJWVlQDWrVt3zldKqfr6egBPPfXUkM82NDSsXbsWwNKlS1evXn3+FbW8vLy33nqrsbHRMDKMdv/+/dXV1edclisuLn7ttdcAHDp0KBKJZPZmIiIiIiIaZbzJkQB0D9jRuDM27IPAv7qT+P6/gQNaa6URM6X7D4AQMG2VtJUQQiktlQYgvAoCwOlkzN1GO1tDQ0NHR8c999wzefLkIR989dVXAdxyyy1vv/32Bd4/e/bsVLr1zDPPLF68uLm5+fxpq1atWrx48Zo1a9KJefr06e6gvb09nflERERERDTqeZOtBf1G0D/Ycm1Ctn9Cth9ao/n9aNyJWzJ1yDFhyYQ1WNffdM4UF5HKs5OQAIqLi++8886jR4/u2rXr7M/r6uoAPPnkk0M+1dLS4u5rLVmy5AKFIs/x+eefb9iw4fyqIQCam5s3bNiwZ8+edN4Ti8XcQU5OTppLExERERHR6OZNtuaWfASQE/L90pEAAK07f/oRgOUMpmExUyotBlM1+0x2NpjMeZasAcDTTz+N0+mZq7Ozs6GhIRAIPP7440M+kkqr7r//fi9DSc+WLVsAjB079r777rvyqxMRERER0TUorWztoiVGAMRN2RNz3PEvHYm9O5qhB1OwnpgTTQwmbVqLhDW4q2Y5ynKU1pBKu33YvFJZWenz+err6+PxuPtJfX29lHLx4sVDluwHsH//YMO30tJSDyNJRyQSeffddwEsW7Ys4xtxREREREQ0yqSVG+w61Jvm69pOmR1Ra1zYB6Cta6Cz3xpIDm67SaVjpkxYEoDWcPM0reFIBUALLy+v5eXlzZs3z7btjz76yP3EvcZWVVU13CMdHR3uILPS/Bnr7OxcuHChlHLGjBmvvPLKlVyaiIiIiIiuZV7u5GQFjaygoYEj7QlHaUdpaPeumnKrjGitpdKmo0xHKQ3TUbbUSsOSSnnTIvsM9zDkhx9+iNNt1m666aYHH3zQ21UuUU9Pz4IFC44dO1ZQUPDll1+mf1+OiIiIiIhGPS+zteO9pjvICfnaey33PtpAUg0kpeUMHotM2sqR+sylNaXts/7roYqKihtvvPG7775raWlxL7ANV7jfdeutt7qDZDLpfTRDGRgYmDdv3u7du/Pz83fs2DFp0qQrsy4REREREf0meHxL6niv2R613HFH1DoZtSA0hAZgSd2fHCwpIpWOmzJhKVsO7rb1JRxvI0k1Xnv//ffdNmvDVYN0TZ061R00NTV5G8mQBgYG5s+f//333+fn53/99dd33HHHFViUiIiIiIh+Q9LN1tK5upa0lNsju7Uj0dZjWlIBGEjK9qh9asCOmVJr2HLwJKRbK9JRypaXYWcNwOnNtJUrV3Z1dV2gzZpr9uzZ7qCxsdGT1aWUw30Vj8fnz5+/c+fO3Nzc7du3FxYWerIiERERERGNJh7vrUXjTmefHQoYADr67JNRK2YqABroidlJWyVtZUvdl5CA1oDtaEfp/rha9tERbyMBUFxcPGPGDNM0cbGNNQC5ubnz588HsGbNmu7u7jSXcI8vDnl48vDhw0M+kkwmH3744Z07d44fP37r1q1FRUVprkVERERERNeVEWRrI6gM2W2e7DXdqo99Caer30pYUmuYtuqJOaatoLUjte0oN2FL6mG3oS7RO6cN12btbCtWrPD5fNFotLKy0nGGPZlZW1trWYOnPd39um3btp0zJxKJ7Nu37/xn3VStsbFx7NixmzdvnjVr1gh+DBERERERXU+87+7V2W/7fUID3QP20a5k3JQa6E/KuKUSttJwT0LqpKNtqWNJ2ec48LLX2r8pKyurqampqakZrs3a2YqKit58800AW7duLSsrS/XLTvnmm2/KysqWL1+e+mTu3LkAPvnkk2+//Tb1YUtLy8KFC89/v+M4Cxcu/Oqrr3JycjZu3Dhz5kzrPEpdtr8FERERERH9pnhfMj5hyRO91sQJQQA5Id/RruR/TAgBMASyQz7TVgCUgtbQgCW1svSf/tbqeRiZefHFF4PB4AsvvLB79+677rqroKCgtLQ0FAolEommpqZoNAqgoKAg1cP6iSeeqK2tbW1tLS8vr6ioyM3NPXHixLZt24qKikpKSjZu3Hj2y5ubmzdv3gwgFovNmTNnyADWrl17gaZwRERERER0/RhZtrbrUO99UyZcdFrILw60xSbk+CflhgD0xOysoA9AwlZZAQOAKRU0TEf/6a+/ZBT2ZfTcc8/NmTOntrZ2/fr1x48f/+yzz1JfTZkypbq6+vnnn081RguHw9u3b1+0aFEkEknNfPTRR1evXl1TU3MVoiciIiIiotFCpJqdffrpp3V1dZs2bbroM+kkbDeOCbiDyROzAYQCYmzYLwSSlhICQggAtqNe++yfmcd+mSml9uzZ097erpQKBoOzZs3Ky8sbbvL+/ftbW1sBzJw588p0Tlu2bFleXt7LL798BdYiIiIiIqIrL5OTkOnssHUN2L8bEwDQ0WfdMCbgmNp27Lilxmf5AAghLKlqv/hXBqtfMYZhlJaWpjm5sLCQhfiJiIiIiMhDGd5bSydh6x6w88cFB5ISgAbGZ/kBxCzlSP2Xbf+X2bpERERERETXicyrjLgF/S+cs3X0Wb8fH4yZMjvoO9FrhgOG0vj4u5MZL0pERERERHSduNSakBfN2dqjlmEIpSyMpGMbERERERHRdc6bCv5Mw4iIiIiIiLzlfXdsIiIiIiIiunTM1oiIiIiIiK5FzNaIiIiIiIiuRWfurY0bN+7XX3995JFHrmI0lL7W1talS5de7SiIiIiIiOhyOZOtzZ07V0rZ09NzFaOh9Pn9/kWLFl3tKIiIiIiI6HIRWuurHQMRERERERGdi/fWiIiIiIiIrkXM1oiIiIiIiK5F/w/KvTUiNFSGKgAAAABJRU5ErkJggg==\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 6,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s.plot()\n",
    "%showPlot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "af = m.sw_model('squareAF', 1.)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "{'datestart': '26-Jun-2019 07:55:56', 'formfact': False, 'omega': array([[ 4.00000000e+00,  4.00000000e+00,  4.00000000e+00, ...,\n",
      "         4.00000000e+00,  4.00000000e+00,  4.00000000e+00],\n",
      "       [ 4.00000000e+00,  4.00000000e+00,  4.00000000e+00, ...,\n",
      "         4.00000000e+00,  4.00000000e+00,  4.00000000e+00],\n",
      "       [ 2.98023227e-08,  5.03648840e-02,  1.00721783e-01, ...,\n",
      "        -1.00721783e-01, -5.03648840e-02,  2.98023223e-08],\n",
      "       ...,\n",
      "       [-2.98023229e-08, -5.03648840e-02, -1.00721783e-01, ...,\n",
      "         1.00721783e-01,  5.03648840e-02, -2.98023225e-08],\n",
      "       [-4.00000000e+00, -4.00000000e+00, -4.00000000e+00, ...,\n",
      "        -4.00000000e+00, -4.00000000e+00, -4.00000000e+00],\n",
      "       [-4.00000000e+00, -4.00000000e+00, -4.00000000e+00, ...,\n",
      "        -4.00000000e+00, -4.00000000e+00, -4.00000000e+00]]), 'Sab': array([[[[ 1.22748965e-17+0.00000000e+00j,\n",
      "          -9.67791854e-26+0.00000000e+00j,\n",
      "           0.00000000e+00+9.77071772e-26j, ...,\n",
      "          -1.04631270e-26+5.84472963e-26j,\n",
      "          -1.50951763e-25+6.36865447e-27j,\n",
      "           2.00296714e-32+0.00000000e+00j],\n",
      "         [ 1.05926147e-33-7.80001627e-33j,\n",
      "          -1.04631270e-26-5.84472963e-26j,\n",
      "           1.05926147e-33+7.80001627e-33j, ...,\n",
      "           0.00000000e+00+6.93334780e-33j,\n",
      "           6.93334780e-33+0.00000000e+00j,\n",
      "           8.99441760e-19+0.00000000e+00j],\n",
      "         [ 8.18555777e-26-2.22009293e-26j,\n",
      "          -1.47055259e-26-1.60743270e-25j,\n",
      "           8.18555777e-26+2.22009293e-26j, ...,\n",
      "          -1.08634153e-25+4.34926720e-27j,\n",
      "           9.62964972e-34+0.00000000e+00j,\n",
      "          -3.85185989e-34+7.70371978e-34j],\n",
      "         ...,\n",
      "         [-9.97178441e-03-5.05232451e-02j,\n",
      "           3.69820919e-02+0.00000000e+00j,\n",
      "           1.14425043e-18+0.00000000e+00j, ...,\n",
      "           2.25747051e-18+0.00000000e+00j,\n",
      "           3.22168540e-10+6.32461371e-18j,\n",
      "           1.05388764e-10+4.27908572e-10j],\n",
      "         [ 3.22168540e-10-6.32461371e-18j,\n",
      "           4.59773750e-02+0.00000000e+00j,\n",
      "           1.50402615e-02+6.10677653e-02j, ...,\n",
      "           5.21190884e-03+7.75602785e-02j,\n",
      "           3.65204174e-11-5.43473413e-10j,\n",
      "           5.21190884e-03-7.75602785e-02j],\n",
      "         [ 7.23403537e-02+0.00000000e+00j,\n",
      "           3.55188115e-18+0.00000000e+00j,\n",
      "           5.06896773e-10-1.85612379e-18j, ...,\n",
      "           7.67467075e-10-8.99495559e-19j,\n",
      "          -2.04832985e-11+6.17032442e-10j,\n",
      "           7.67467075e-10+8.99495559e-19j]],\n",
      "\n",
      "        [[ 1.09526905e-01+0.00000000e+00j,\n",
      "          -2.92321644e-03+8.80580494e-02j,\n",
      "          -2.04832985e-11-6.17032442e-10j, ...,\n",
      "          -5.73533433e-26+7.20769339e-10j,\n",
      "          -6.28837260e-18+1.02862568e-01j,\n",
      "           1.02862568e-01+0.00000000e+00j],\n",
      "         [ 5.05051010e-18+0.00000000e+00j,\n",
      "           7.20769341e-10-2.06795153e-25j,\n",
      "          -9.78306252e-19+7.20769339e-10j, ...,\n",
      "           5.16987883e-25+8.12768210e-10j,\n",
      "           8.12768210e-10+4.39439700e-25j,\n",
      "           1.15991937e-01+0.00000000e+00j],\n",
      "         [ 1.04083409e-17+1.15991937e-01j,\n",
      "           5.16987883e-25-8.12768210e-10j,\n",
      "           1.04083409e-17-1.15991937e-01j, ...,\n",
      "          -5.55111512e-17-1.29669795e-01j,\n",
      "           1.29669795e-01+0.00000000e+00j,\n",
      "           6.36673385e-18+0.00000000e+00j],\n",
      "         ...,\n",
      "         [ 2.06795153e-25-1.11449851e-09j,\n",
      "           1.11449851e-09+0.00000000e+00j,\n",
      "           1.59052521e-01+0.00000000e+00j, ...,\n",
      "           1.32065021e-29+0.00000000e+00j,\n",
      "          -1.72494130e-31+1.28962919e-29j,\n",
      "          -4.83839623e-24-3.47086981e-24j],\n",
      "         [-1.72494130e-31-1.28962919e-29j,\n",
      "           1.25956214e-29+0.00000000e+00j,\n",
      "           8.59177697e-18+0.00000000e+00j, ...,\n",
      "           1.23798413e-17+0.00000000e+00j,\n",
      "           4.68851477e-24+3.84928774e-24j,\n",
      "          -3.85390550e-24+4.78775408e-24j],\n",
      "         [ 4.68851477e-24-3.84928774e-24j,\n",
      "           2.97250878e-30+0.00000000e+00j,\n",
      "           2.91078228e-32+3.01152867e-30j, ...,\n",
      "           1.25075210e-32-5.49346126e-34j,\n",
      "           3.86850101e-26+9.38956416e-26j,\n",
      "           1.25075210e-32+5.49346126e-34j]],\n",
      "\n",
      "        [[ 1.14659136e-32+0.00000000e+00j,\n",
      "           1.22748965e-17+0.00000000e+00j,\n",
      "           8.78709771e-24+2.44789500e-24j, ...,\n",
      "           1.59974146e-23+1.74495009e-24j,\n",
      "          -1.69021305e-24+1.62918738e-23j,\n",
      "           1.59974146e-23-1.74495009e-24j],\n",
      "         [ 3.37853754e-29+0.00000000e+00j,\n",
      "           1.81276271e-31+3.43874788e-29j,\n",
      "          -1.69021305e-24-1.62918738e-23j, ...,\n",
      "          -3.02549750e-21-1.00787877e-20j,\n",
      "           9.07174988e-24+7.29561509e-24j,\n",
      "           1.16888043e-23+0.00000000e+00j],\n",
      "         [ 1.22748965e-17+0.00000000e+00j,\n",
      "           4.16837092e-20+2.01676924e-20j,\n",
      "          -2.01675702e-20+4.16838075e-20j, ...,\n",
      "           2.34097976e-23-1.82313251e-23j,\n",
      "           2.33737187e-23+2.53626014e-23j,\n",
      "           9.84890240e-29+0.00000000e+00j],\n",
      "         ...,\n",
      "         [-4.22099497e-24-5.79187986e-24j,\n",
      "           1.61239336e-29-7.22691008e-29j,\n",
      "           6.63783792e-29+0.00000000e+00j, ...,\n",
      "           2.47441716e-01+0.00000000e+00j,\n",
      "           1.06006800e-18+0.00000000e+00j,\n",
      "           1.54084550e-24-1.25549642e-25j],\n",
      "         [-2.52945611e-24-2.07362896e-25j,\n",
      "           1.54084550e-24+1.25549642e-25j,\n",
      "           2.25454174e-30+0.00000000e+00j, ...,\n",
      "           5.61116552e-01+0.00000000e+00j,\n",
      "           3.50214156e-01-2.07831679e-02j,\n",
      "           2.45398905e-09+1.45629924e-10j],\n",
      "         [ 3.50214156e-01+2.07831679e-02j,\n",
      "           2.19351746e-01+0.00000000e+00j,\n",
      "           8.07612918e-19+0.00000000e+00j, ...,\n",
      "           2.48220327e-17+0.00000000e+00j,\n",
      "           3.54240668e-09+1.61276055e-18j,\n",
      "           1.75451393e-10+2.96871642e-09j]]],\n",
      "\n",
      "\n",
      "       [[[ 3.54240668e-09-1.61276055e-18j,\n",
      "           5.05544619e-01+0.00000000e+00j,\n",
      "           2.50390529e-02+4.23672025e-01j, ...,\n",
      "          -2.11757113e-01+4.00398599e-01j,\n",
      "          -1.48380534e-09-2.80563698e-09j,\n",
      "          -2.11757113e-01-4.00398599e-01j],\n",
      "         [ 6.31973128e-01+0.00000000e+00j,\n",
      "           3.10296197e-17+0.00000000e+00j,\n",
      "           4.42830507e-09+1.22880937e-17j, ...,\n",
      "           5.56853027e-09+1.67630408e-17j,\n",
      "           2.26163410e-09-2.36256090e-09j,\n",
      "           5.56853027e-09-1.67630408e-17j],\n",
      "         [ 7.94697164e-01+0.00000000e+00j,\n",
      "           3.22762760e-01-3.37166247e-01j,\n",
      "           2.26163410e-09+2.36256090e-09j, ...,\n",
      "          -1.24077092e-24-4.21976903e-09j,\n",
      "          -5.55111512e-17-6.02212492e-01j,\n",
      "           6.02212492e-01+0.00000000e+00j],\n",
      "         ...,\n",
      "         [ 6.52438433e-09-3.39619928e-18j,\n",
      "           6.80036148e-10-5.43047819e-09j,\n",
      "           6.52438433e-09+3.39619928e-18j, ...,\n",
      "           6.55146940e-09+4.13590306e-25j,\n",
      "           9.34974557e-01+0.00000000e+00j,\n",
      "           2.77555756e-16-9.34974557e-01j],\n",
      "         [ 1.24077092e-24+6.55146940e-09j,\n",
      "           2.77555756e-16+9.34974557e-01j,\n",
      "           9.34974557e-01+0.00000000e+00j, ...,\n",
      "           4.52831837e-32+0.00000000e+00j,\n",
      "           5.56216108e-17+0.00000000e+00j,\n",
      "           7.93788204e-09-2.06795153e-25j],\n",
      "         [ 6.20385459e-25+7.93788204e-09j,\n",
      "           7.93788204e-09+2.06795153e-25j,\n",
      "           1.13283255e+00+0.00000000e+00j, ...,\n",
      "           1.86113773e-31+0.00000000e+00j,\n",
      "           4.44605847e-33+1.67337931e-31j,\n",
      "          -1.18592090e-24+6.44030614e-25j]],\n",
      "\n",
      "        [[ 4.44605847e-33-1.67337931e-31j,\n",
      "           1.50562477e-31+0.00000000e+00j,\n",
      "           1.00024994e-16+0.00000000e+00j, ...,\n",
      "           1.17783757e-17+0.00000000e+00j,\n",
      "          -9.40446778e-26-1.09484921e-24j,\n",
      "           1.14800390e-24-3.39495658e-27j],\n",
      "         [-9.40446778e-26+1.09484921e-24j,\n",
      "           1.02521708e-31+0.00000000e+00j,\n",
      "          -8.85068488e-33+1.06738864e-31j, ...,\n",
      "          -2.55296135e-32+4.40370029e-31j,\n",
      "           1.58339685e-24+2.39190964e-25j,\n",
      "          -2.55296135e-32-4.40370029e-31j],\n",
      "         [ 4.27439767e-31+0.00000000e+00j,\n",
      "           7.17499495e-18+0.00000000e+00j,\n",
      "          -5.36675306e-25-9.37533985e-26j, ...,\n",
      "          -1.19839512e-24-9.42396684e-26j,\n",
      "           7.45708022e-26-1.10945542e-24j,\n",
      "          -1.19839512e-24+9.42396684e-26j],\n",
      "         ...,\n",
      "         [-8.93347681e-32+7.10773759e-31j,\n",
      "          -2.57853356e-25+9.77253532e-25j,\n",
      "          -8.93347681e-32-7.10773759e-31j, ...,\n",
      "           2.54434027e-32-3.65484495e-31j,\n",
      "           4.10843796e-31+0.00000000e+00j,\n",
      "           1.22748965e-17+0.00000000e+00j],\n",
      "         [-1.19096660e-25+6.28329695e-25j,\n",
      "          -3.61106539e-25-4.37165989e-25j,\n",
      "          -1.19096660e-25-6.28329695e-25j, ...,\n",
      "           3.99000423e-26+5.26690049e-25j,\n",
      "           3.10186200e-31+0.00000000e+00j,\n",
      "           2.02525221e-31+2.82161582e-31j],\n",
      "         [ 5.05156138e-25+3.07588666e-25j,\n",
      "           2.02525221e-31-2.82161582e-31j,\n",
      "           3.88900679e-31+0.00000000e+00j, ...,\n",
      "           1.30860003e+00+0.00000000e+00j,\n",
      "           8.99441760e-19+0.00000000e+00j,\n",
      "           1.48755772e-24-5.24277270e-25j]],\n",
      "\n",
      "        [[ 4.29463284e-25+1.23904841e-24j,\n",
      "           1.48755772e-24+5.24277270e-25j,\n",
      "           2.76582068e-30+0.00000000e+00j, ...,\n",
      "           1.13283255e+00+0.00000000e+00j,\n",
      "           1.11022302e-16+1.13283255e+00j,\n",
      "           0.00000000e+00-7.93788204e-09j],\n",
      "         [ 1.11022302e-16-1.13283255e+00j,\n",
      "           1.13283255e+00+0.00000000e+00j,\n",
      "           9.77492431e-18+0.00000000e+00j, ...,\n",
      "           4.59068656e-17+0.00000000e+00j,\n",
      "           6.55146940e-09-8.27180613e-25j,\n",
      "          -4.13590306e-25-6.55146940e-09j],\n",
      "         [ 6.55146940e-09+8.27180613e-25j,\n",
      "           9.34974557e-01+0.00000000e+00j,\n",
      "           5.55111512e-17-9.34974557e-01j, ...,\n",
      "           5.55111512e-17-7.93140521e-01j,\n",
      "           4.13590306e-25+5.55762274e-09j,\n",
      "           5.55111512e-17+7.93140521e-01j],\n",
      "         ...,\n",
      "         [ 2.95683847e-17+0.00000000e+00j,\n",
      "           4.21976903e-09-4.13590306e-25j,\n",
      "           4.13590306e-25+4.21976903e-09j, ...,\n",
      "          -2.77372985e-10-3.73439286e-09j,\n",
      "           3.72661134e-09+2.05586518e-18j,\n",
      "           5.31832879e-01+0.00000000e+00j],\n",
      "         [-3.95845067e-02-5.32943395e-01j,\n",
      "          -2.77372985e-10+3.73439286e-09j,\n",
      "          -3.95845067e-02+5.32943395e-01j, ...,\n",
      "          -1.88003851e-01+3.93597817e-01j,\n",
      "           2.82064739e-01+0.00000000e+00j,\n",
      "           1.38492627e-17+0.00000000e+00j],\n",
      "         [ 1.97645862e-09+1.09097109e-17j,\n",
      "           1.31736362e-09+2.75798315e-09j,\n",
      "           1.97645862e-09-1.09097109e-17j, ...,\n",
      "           2.71888933e-09-3.84697363e-18j,\n",
      "           3.88018660e-01+0.00000000e+00j,\n",
      "           5.97265395e-02-4.24600502e-01j]]],\n",
      "\n",
      "\n",
      "       [[[ 4.18510420e-10+2.97522231e-09j,\n",
      "           5.97265395e-02+4.24600502e-01j,\n",
      "           4.73824754e-01+0.00000000e+00j, ...,\n",
      "           2.41780931e-31+0.00000000e+00j,\n",
      "           1.73463891e-17+0.00000000e+00j,\n",
      "           2.47554119e-09+7.65487104e-18j],\n",
      "         [ 7.54139443e-10+2.61558336e-09j,\n",
      "           2.47554119e-09-7.65487104e-18j,\n",
      "           3.53289906e-01+0.00000000e+00j, ...,\n",
      "           1.07120345e-31+0.00000000e+00j,\n",
      "          -9.50217674e-33+9.63626887e-32j,\n",
      "           6.02533274e-25-2.70003758e-25j],\n",
      "         [-9.50217674e-33-9.63626887e-32j,\n",
      "           8.75282762e-32+0.00000000e+00j,\n",
      "           1.76030974e-17+0.00000000e+00j, ...,\n",
      "           8.18507805e-18+0.00000000e+00j,\n",
      "           9.33125517e-25-7.93045986e-25j,\n",
      "           9.26566563e-25+1.02945207e-24j],\n",
      "         ...,\n",
      "         [ 2.23456380e-28+0.00000000e+00j,\n",
      "           4.14604816e-31+2.23405733e-28j,\n",
      "          -4.92951279e-23-1.46037855e-23j, ...,\n",
      "          -2.40304551e-20+2.24933645e-20j,\n",
      "          -8.86557770e-23-9.46760910e-24j,\n",
      "           8.88358322e-23+0.00000000e+00j],\n",
      "         [ 4.97496260e-18+0.00000000e+00j,\n",
      "          -1.58996022e-21-6.71145130e-22j,\n",
      "           6.71366931e-22-1.58984086e-21j, ...,\n",
      "          -3.81359045e-24-8.41253579e-23j,\n",
      "           8.33650571e-23-4.63978466e-24j,\n",
      "           5.67928237e-28+0.00000000e+00j],\n",
      "         [-5.76985500e-29-5.69896537e-28j,\n",
      "          -3.81359045e-24+8.41253579e-23j,\n",
      "          -5.76985500e-29+5.69896537e-28j, ...,\n",
      "          -5.85848630e-29+4.26600223e-29j,\n",
      "           8.48164622e-29+0.00000000e+00j,\n",
      "           5.91897193e-18+0.00000000e+00j]],\n",
      "\n",
      "        [[ 7.89618286e-24+3.23110310e-23j,\n",
      "          -3.45288989e-23-5.78793900e-25j,\n",
      "           7.89618286e-24-3.23110310e-23j, ...,\n",
      "          -4.58397143e-25-1.65323041e-26j,\n",
      "           1.71407765e-32+0.00000000e+00j,\n",
      "          -3.85185989e-33+6.16297582e-33j],\n",
      "         [ 9.70663947e-26+1.68532075e-25j,\n",
      "          -3.85185989e-33-6.16297582e-33j,\n",
      "           3.08148791e-33+0.00000000e+00j, ...,\n",
      "           1.74986736e-01+0.00000000e+00j,\n",
      "           1.02908201e-18+0.00000000e+00j,\n",
      "           3.20556635e-25-4.94245678e-25j],\n",
      "         [-8.50885552e-26+8.06900944e-25j,\n",
      "           3.20556635e-25+4.94245678e-25j,\n",
      "           3.37228076e-31+0.00000000e+00j, ...,\n",
      "           1.59052521e-01+0.00000000e+00j,\n",
      "           1.38777878e-17-1.59052521e-01j,\n",
      "           1.03397577e-25+1.11449851e-09j],\n",
      "         ...,\n",
      "         [ 1.38631676e-01+0.00000000e+00j,\n",
      "           6.80675774e-18+0.00000000e+00j,\n",
      "           9.71407347e-10-1.77875962e-18j, ...,\n",
      "           8.12768265e-10-1.03397577e-25j,\n",
      "          -2.06795153e-25-8.12768265e-10j,\n",
      "           8.12768265e-10+1.03397577e-25j],\n",
      "         [ 1.15991937e-01+0.00000000e+00j,\n",
      "          -1.38777878e-17-1.15991937e-01j,\n",
      "          -2.06795153e-25+8.12768265e-10j, ...,\n",
      "          -3.41498421e-11-7.19138795e-10j,\n",
      "          -4.87359884e-03-1.02629870e-01j,\n",
      "           1.07768265e-01+0.00000000e+00j],\n",
      "         [ 5.05051009e-18+0.00000000e+00j,\n",
      "           7.20769339e-10-4.76598204e-26j,\n",
      "          -1.37324906e-25-7.20769339e-10j, ...,\n",
      "           4.36476566e-11-6.25368004e-10j,\n",
      "           7.12648495e-10-1.91672624e-18j,\n",
      "           1.01703633e-01+0.00000000e+00j]],\n",
      "\n",
      "        [[ 6.22905276e-03-8.92476423e-02j,\n",
      "           4.36476566e-11+6.25368004e-10j,\n",
      "           6.22905276e-03+8.92476423e-02j, ...,\n",
      "          -1.44611900e-02-7.58374758e-02j,\n",
      "           8.85959709e-02+0.00000000e+00j,\n",
      "           4.35002526e-18+0.00000000e+00j],\n",
      "         [ 6.20801668e-10+5.15008212e-18j,\n",
      "           1.01331146e-10-5.31401495e-10j,\n",
      "           6.20801668e-10-5.15008212e-18j, ...,\n",
      "           4.99168325e-10-1.32101998e-18j,\n",
      "           7.12374100e-02+0.00000000e+00j,\n",
      "           3.14145471e-03-6.57213840e-02j],\n",
      "         [ 2.20125181e-11+4.60516928e-10j,\n",
      "           3.14145471e-03+6.57213840e-02j,\n",
      "           6.07710058e-02+0.00000000e+00j, ...,\n",
      "           7.66986055e-33+0.00000000e+00j,\n",
      "           3.45267575e-18+0.00000000e+00j,\n",
      "           4.92738899e-10+4.94266720e-18j],\n",
      "         ...,\n",
      "         [ 7.20430403e-26+1.34989734e-26j,\n",
      "           5.88388322e-34+0.00000000e+00j,\n",
      "          -3.15302831e-34+2.99835149e-33j, ...,\n",
      "           4.27204484e-33+2.31153515e-33j,\n",
      "           5.19094532e-26-1.66613280e-25j,\n",
      "           4.27204484e-33-2.31153515e-33j],\n",
      "         [ 4.92024341e-33+0.00000000e+00j,\n",
      "           6.98468994e-18+0.00000000e+00j,\n",
      "          -5.21419242e-25-1.10077604e-25j, ...,\n",
      "           1.09759953e-25-4.08215423e-26j,\n",
      "           3.61314876e-26+3.16708552e-26j,\n",
      "           1.09759953e-25+4.08215423e-26j],\n",
      "         [ 1.52468411e-32+0.00000000e+00j,\n",
      "           2.97177354e-33+5.50467507e-33j,\n",
      "           3.61314876e-26-3.16708552e-26j, ...,\n",
      "          -5.84489869e-42-1.26288975e-57j,\n",
      "           0.00000000e+00-3.79822710e-65j,\n",
      "           3.79822710e-65+0.00000000e+00j]]]]), 'hkl': array([[0.        , 0.00200401, 0.00400802, ..., 0.99599198, 0.99799599,\n",
      "        1.        ],\n",
      "       [0.        , 0.00200401, 0.00400802, ..., 0.99599198, 0.99799599,\n",
      "        1.        ],\n",
      "       [0.        , 0.        , 0.        , ..., 0.        , 0.        ,\n",
      "        0.        ]]), 'hklA': array([[ 0.00000000e+00,  4.19718457e-03,  8.39436915e-03, ...,\n",
      "         2.08600073e+00,  2.09019792e+00,  2.09439510e+00],\n",
      "       [ 0.00000000e+00,  4.19718457e-03,  8.39436915e-03, ...,\n",
      "         2.08600073e+00,  2.09019792e+00,  2.09439510e+00],\n",
      "       [ 0.00000000e+00, -5.14006865e-19, -1.02801373e-18, ...,\n",
      "        -2.55461412e-16, -2.55975419e-16, -2.56489426e-16]]), 'incomm': False, 'helical': False, 'norm': False, 'nformula': 0.0, 'param': {'notwin': True, 'sortMode': True, 'tol': 0.0001, 'omega_tol': 1e-05, 'hermit': True}, 'title': 'Numerical LSWT spectrum', 'gtensor': False, 'dateend': '26-Jun-2019 07:55:57', 'obj': <proxy for Matlab spinw object>}\n"
     ]
    }
   ],
   "source": [
    "spec = af.spinwave(([0, 0, 0], [1, 1, 0], 500))\n",
    "print(spec)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 47,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "None cannot be passed to MATLAB\n"
     ]
    },
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "execution_count": 47,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "m.figure()\n",
    "m.sw_plotspec(spec, nargout=0)\n",
    "%showPlot"
   ]
  },
  {
   "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": "3.6.8"
  },
  "pycharm": {
   "stem_cell": {
    "cell_type": "raw",
    "metadata": {
     "collapsed": false
    },
    "source": [
     "from pySpinW import Matlab"
    ]
   }
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}