diff --git a/NanobeamCavity.ipynb b/NanobeamCavity.ipynb
index a5d373bd..687ce2b7 100644
--- a/NanobeamCavity.ipynb
+++ b/NanobeamCavity.ipynb
@@ -265,7 +265,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Unit cell functions\n",
+    "### Unit Cell Functions\n",
     "\n",
     "As an example, we will create 3 different unit cell functions. The first two are simple functions to return elliptical and square unit cells. The third one is an example of more complex geometry using the [PolySlab](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PolySlab.html).\n",
     "\n",
@@ -331,7 +331,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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MaY6jo6NZ27ZtmZmZGXNxcWFffvklO3ToULn8PHv2jL377rvMysqKAdA59UlQUJDWqUtmzpypN0/6KJVKNm/ePObm5saEQiHz8fFhmzZtKpeubCqYxMREjeVPnz5lY8eOZba2tkwikbCgoCCtdfSvv/5i/v7+TCQSMVdXVzZ9+nQml8uNPgZCahJ6pRghhBBCSC1BY+wIIYQQQmoJ6tgRQgghhNQS1LEjhBBCCKklqGNHCCGEEFJLUMeOEEIIIaSWoI4dIYQQQkgtUeMmKP7111+xcOFCpKWloVmzZli6dKnW9wCuW7cOo0eP1lgmEonUL5A2hEqlQkpKCszNzSv9mh5CCCGEEGMxxpCXlwcXFxdwubqvydWojl3ZTOorV65EmzZtsGTJEoSEhCA+Ph4ODg4VbmNhYaHxDsfKds5SUlJem5eHE0IIIeTN9fDhQ7i6uupMU6M6dosXL0ZYWJj6KtzKlSuxf/9+rFmzBlOnTq1wGw6HAycnpyrHNDc3B1BamBYWFlXeDyGEEEJIVeTm5qJu3brqPokuNaZjJ5fLcenSJUybNk29jMvlIjg4GGfOnNG63bNnz+Dm5gaVSoUWLVpg3rx58PHx0Zq+uLhY40XeeXl5AEqv/FHHjhBCCCGviiF3HWvMwxOZmZlQKpVwdHTUWO7o6Ii0tLQKt2nUqBHWrFmDvXv3YtOmTVCpVGjXrh0ePXqkNc78+fNhaWmp/qPbsIQQQgipKWpMx64qAgMDMWLECPj7+yMoKAi7d++Gvb09Vq1apXWbadOmIScnR/338OHDl5hjQgghhJCqqzG3Yu3s7MDj8ZCenq6xPD093eAxdAKBAM2bN8fdu3e1phGJRBCJREbllRBCCCHkVagxV+yEQiECAgIQFRWlXqZSqRAVFYXAwECD9qFUKhEbGwtnZ+fqyiYhhBBCyCtTY67YAcCUKVMwcuRItGzZEq1bt8aSJUuQn5+vfkp2xIgRqFOnDubPnw8AmDNnDtq2bYv69esjOzsbCxcuRFJSEsaNG/cqD4NUEWPspc8lSDEpJsU0LB5Q+emkKKZhMWt7/aGYplVjrtgBwJAhQ7Bo0SLMmDED/v7+uHLlCg4ePKh+oOLBgwdITU1Vp8/KykJYWBgaN26MHj16IDc3F6dPn0aTJk1e1SHUCsXFxdiyZQs+/vhjfP755zh48KC6wTM1uVyOH3/8EQ29G4PH48HK2gYjRozEvXv3qiUeABQWFmLu3Lnw8KwPHo8HW3sHhIeHIzk5udpi5ubm4uuvv4ZrPTdwuVw4Ortg8uTJyMzMrLaYmZmZ+PTTT+HoXDrhpWs9N0ybNg25ubnVFjMlJQXjx4+Hrb0DeDwe3D29MHfuXBQUFFRbzHv37mHEiJGwtrEFj8dDQ+/G+PHHHyGXy6st5s2bNzF48GCYW1iCz+fDx68pVqxYAaVSWW0xL126hN59+kAqk0EgFKJ5QEts2LCh2s5NADh58iS6hoRAIpVBKBKhbWA7/Pnnn9Ua89ChQwjq9DbEYjOIxWZ4K6gTDh06VG3xGGPYvXs32ga2g1AkgkQqQ9eQEJw8ebJaY27YsAHNA1pCIBRCKpOhd58+uHTpUrXFVCqVWLlyJXz8moLP58PcwhKDBw/GzZs3qy3mi+27tY3tS2vf3T291O37+PHjkZKSUm0xX3r7zohOOTk5DADLycl51Vkx2JMnT9h3333H+vbty8aNG8dOnDhhsn3HxsYyT6/6DAAzc6jHxDZODAB7K6gTe/z4scniMMZYdnY2axvYjnG4PCb17cxsuk5klu2GMZGlPZNIpSwiIsKk8RhjLC0tjfn6NWU8vpDJmoUwm5BJzKLtQCaUWTMraxt29uxZk8dMTExk7p5ejC8yY+YtepbGbNWPCcxkzNHJmV2/ft3kMa9fv86cnF2YwEzGzFv1ZTYhk5h5i56MLzJj7p5eLDEx0eQxz507x6ysbZhQZsUs2g5kNiGTmKxZCOPxhczH14+lpaWZPGZERASTSKVMZGnPLNsNYzZdJzKpb2fG4fJYm7aBLCsry+Qx//zzTyYQipjYxoVZdhjObN6ZwKSNOzJwOKxrSAgrKCgwecw//viDcXk8JrZ3Y1ZBI5l18HgmbdCGAWCDBg9mcrnc5DEXLVpU2g4412dWncYw6y7hTOLRnAFg48ePZ0ql0qTxVCoV+/rrrxkAJqnbhFl3HsesO49jZnWbMADs66+/ZiqVyqQxlUolGz9+fGlMD39m3SWcWXUaw8ycGzAAbNGiRSaNxxhjcrmcDRo8uDRmg9bMOng8swoaycT2bozL47E//vjD5DELCgpY15AQBg6HSRt3ZDbvTGCWHd9jYhsXJhCK2K5du0weMzs7m7VpG/jS23cfX79X3r6bt+rLBGYy5uTsYnD7Xpm+CIexavxpVQvk5ubC0tISOTk5euexy8rKwoEDByASidCjRw+YmZkZHCcxMRFz5szBlauxaOrng+nTp6NBgwaVzm9sbCze6RqCzKdZENZpApaXgaLMh/j666/x3XffGXUJOCkpCc1bBKBQYAnr0M8gtHcDYwxF968g+9/F8PZyw5nT0ZBIJFWOUUalUqFb9+44dvI0bAfMgqiO93/rigvw5O8FYGm3cPnSRXh7e+vYk+EUCgXate+Aa/EJsB04G0J7d/U6ZWEunv71HYTP0nDt6hWTTYOTn5+PFgEtkZSRA9uBcyCw/m/8Z0neEzz5czasecWIvXYVtra2Jon59OlT+DVthqwSIWwGzATf/L/9KrLT8GTnDNSzM0fM5UuQSqUmifno0SP4NW2GYqkTbPtPB8/sv3NJnnEfT3bNhF9DT5w5HQ2BQGCSmLdu3UKLgJbgOHnDtvdX4Ir+q5fFybfwZPdsdOoQiIMHDuh9RY+hzp8/j/btO0DUIBC2PSaDwxeq1xUmxuDJnu8xqH9fbN261STxACAiIgIhISGQNguBTfAH4PD+G2GTHx+Np/8sxMQJH2Dp0qUmi7l9+3YMHToUFm0HwuqtEeBw/iu/vKuH8fTQUsyeNQszZswwWczly5dj0qRJsOo0Ghat+6vbMsYYcs//hexja7Bs2TJMmjTJZDHnzJmDmbNmwSbkI5g366pezpgK2Sc2IvfsTmzbtg1DhgwxWcyPPvoIy1esgE2vLyFt1P6/mMoSPI1cifyrh3Dw4EF07dpVx14qZ9i772Lnn3/Btu83MPNo/l/MEjme/LsExXfOIDr6lNbXd1aWun0/dQa2/We+Fu37k93fQZSfhthrV/W+2cFQZe37g4xc2AycXa59f/rnbFjz5Yi9dhU2NjY691WZvkiNuhX7Ojt9+jQ8vepj+PDhGDhwIBo38UFCQoJB2964cQP+zVtg61/7cVdpi+3/HEKLgADExMRUKg/Z2dno1r0HciGB07hVcBg8Bw5jlsOq0yjMmzcPa9asqcqhAShtPMeMGYsCxofdkO8gtHcDUDrWxMyjOWwHzcaNm3GYPXt2lWM8b/PmzYg4fBjWPb/QOOkBgCuSwLbPNDCJDcaFhZvsts+yZctw6eJF2PT5WuOkBwCemQVs+n2LAiUXH3/yiUniAcC8efOQcC8Rtv1naJz0AMA3t4Vt/xnIzMrRmJjbWFOnTkXG02zY9J+h0akDAIGVE2z7f4t7iffx/fffmyzmx598ggIlt1ynDgCE9u6w6fM1Ll++bLLOB2MMYeHjwSTWsO0zTaNTBwCiOt6w7vkFIg4fxqZNm0wSU6lUYvSYsRA4eMA29FONTh0AmHk0h3XIR9i2bRv2799vkphFRUUYM3YczNybwabrRI1OHQBIG7WH5dtjsWzZMpw9e9YkMbOzs/HBhImQNX4LVm+N1OjUAYB5s66wDByK2XPm4NatWyaJmZKSgs8+/wKy5qGwbDNA4wcqh8OBZZv+MG8Ris+/+NJkQyZu3bqF2XPmwDJwqEanrjQmF1ZvjYC08Vv4YMJEZGdnmyTm2bNnsWzZMli+PU6jUwcAHB4fNl0nwszdH2PGjqvUO891+ffff7Ft61ZYh3yo0akDAA5fCNvQTyFw8MDoMWNNNpRg06ZNpe176Oc62nfr0nPYRO370qVLdbbvtv2no0DJxUcff2ySeMB/7btN/28rbN9t+s9AxtNsrW/Oqirq2JnAkydP0Kt3HxSbu8B10ka4jFuJ9GcK9O7TFwqFQue2SqUSQ4e9C7nYGg6jlsK2+8dwGLkUSpkjhgwdpnf75/3www94nPkENv2+UX9hlzZ6AyHzC8aUzz5Xv0mjsk6ePIkjR6Jg8XZ4uS9mABA6eELWuj+W/PwLMjIyqhSjDGMMs+d+B2nDQJh5BlSYhisUw7zTGESfOolTp04ZFQ8oHesxb/4PkDYNhsilUYVpeGbmMO/wPvb89ZdJxp3k5uZiyc8/QxrQCwLbiq8A8i3sIGs7GGvWrjXJGJCUlBSsWbsW0jaDwbewqzCNwLYupAG9sOTnX0wy3i4uLg5/7d4N8w7vVVh3AEDk0ghSv2DM/2GBSca+RUdH49TJEzAPGgOuUFxhGjOPFpA2DMTsud+Z5Mtj3759uHnjOiw7h4HDq/iqo6TxW5DU88Wcud8ZHQ8o/QH06NFDWHX5oFwHq4x5i1CIHdzxnYk66qtWrUJe3jNYvj1W6x0Ay8DBEJjbYsGCBSaJ+dNPP0EJLqyDRmhNY/XWCCjBxZIlS0wSc8GCBRDIbGAZOLjC9RwOB1adxyEv75nOuVEr47vvv4fYwR3mzXtoicmFVZfxSE5+ZLIfJLPnzIWkni8kjYMqjskTwLJzOG7euI5//vnH6HgGt+9BY3Dq5AlER0cbHVMul2P+Dwv0tO8WNb59L1PjOna//vor3N3dIRaL0aZNG5w/f15n+p07d8Lb2xtisRh+fn74999/TZ6nX375BbnP8mHb6yvwZNYQ2LrCKvRz3LxxHTt27NC57b59+3A99hqs3pkErlgGoPQXi1XIR7hzOx67d+82KA9yuRwrVq6CpFl38C0cyq237PAe8vLysGXLlsofIIC1a9dCbFsHZvW1X4o3b9ETJSUl2LZtW5VilLlw4QIS7tyGtEVPnenMPFtCbONskgYuMjISmRmPYd6il8500iZvQSCxMEnMvXv3oiA/H+bNdR+nrFkIGLhGlytQeguNgQtz/xCd6cyb90RhYQH27NljdMxNmzZBILGAtEnFXxzqmAG9kJnxGBEREUbH3LhxI8Q2zjDzaqkznaxFL9y7e0dvO2KIDRs2wMylAUR1GmtNw+FwIGneE+fPnTX4ir4u69ZvgMSjBQS22m8dcThcSPx74MCBA3jy5InRMdeu3wBxo3blrvZqxOQLIPbriu07dhp9ZUmlUmH9xk0QN+kMrkj70ACuSApxk85Yv2EjVCqVUTGLioqwfcdOiP26gsPXPjSAL7OBuFE7rF2/wah4QOkFggMHDkDi3wMcLk9rOoGtKyQeLbDOBDETEhJw/txZSJr31DlMR1THG2YuDbFhg/ExL1y4gHt37+hv371K2/eNGzcaHbOy7fvmzZuNjrlnz56X3r6XqVEdu+3bt2PKlCmYOXMmLl++jGbNmiEkJASPHz+uMP3p06cxbNgwjB07FjExMejbty/69u2L69evmzRfGzZthrhRR/Bk1uplIqf6kNTzxSY9FWTXrl0wc/Isdzla6OgFszre2LFjp0F5iI6ORm5ONqRNOlW4nm9hB7O6vtj7998G7e95jDHsP3AQwvptdZ78PIklxHV9cdDIJ9QiIyPBF0shruurMx2Hw4HAoyUOHjK+IxAVFQWxtSMEL1yiLxeTJ4DQvTkORUQaHTMyMhISl/par5yV4YqkENfzxWETdHgOR0RAXM9X5xckUFpfJM71ERlp/HEePBwBoXtzrVexygjs3CC2dtSYq7KqDh2OhMCjpdarWGVEdX3AF0uNPk6VSoWIyCgIPfWPQTLzDACHyzM6ZmFhIc6cOQ2xlwEx67eGSqnEsWPHjIqZlpaG+LibMDMgpqR+axQW5OPcuXNGxYyLi0NGeprOH5VlzOq3RsbjdKOvuJw7dw6FBfmQNGijP6ZXG8TH3dT6aktDHTt2DCql0qCyFXu1xtmzZ4x+mjwqKgocLg9mHi30phV6tkJk1BGjO82Gt+/c0vb9sPHtXmRkZKXad1PFNHM2vH2PMEFbq95nZTcYOXIkTpw4YbIMVMbixYsRFhaG0aNHo0mTJli5ciUkEonWsWM///wzunXrhi+++AKNGzfG3Llz0aJFCyxbtsxkecrIyMD9ewkQuzcvt07g5o/Tp8/ovM1zMvoM+K5+Fa4T1PVF9JkzBuXj4sWL4IvMIHBw15pG4OKNCxcr/7h8ZmYmMtLTIHTS/zAH36kBLsdcrXSM58XGxkLo4KHzV2sZoVMDPEhKxLNnz4yKeeXqVXDtvQx6uETo1AA3rl83+vbd5Zir4NrXNygt37E+rly5ZlQ8ALhy5Rr4Dl4GpeXaexn9WTLGcOP6dQgd9R8nh8MB18ELV64aFzM/Px9J9+9B6GRATC4PQkdPxMbGGhXz0aNHyMvNgciAmFyhGcT2dXHtmnGfZ1xcHJQlJQYdJ9/cDiILG6NjlpWTIW2BwM4NXL7Q6Jhl2xtStiLn0nwZ+3leu3YNXL4AAjs3vWnLyt8UZSsyt9HbESiLqSwpMXoM47Vr1yC2r1tuDGpFRE71kZebo/Nd64bGFDp6Gti+18eD+y+5fXesb5L2PebKNfAcXm77XqbSHbucnBwEBwejQYMGmDdvXrXO7fU8uVyOS5cuITg4WL2My+UiODgYZ7R0fs6cOaORHgBCQkK0pgdK52jLzc3V+NMlKSkJAMC3Lv82C4GVM3JzsrWOa2OMIfnRA/CtKn4lGt/KGempKSgpKdGZB6D0i0Vo5ajzCgXfyhGZj9MrNW4PgPoz5lvY603Lt7DH4/RUo06KBw8fgSPT37iVxitN9/z8hVXx8FEKeOaGxeSZ26G4qNDoAdMpqSngGdCIA6VfzBmP04wqV8YYHj9OM+hzBACehR1SUo0b95GdnY3iokLwDI1pbo+Hj4xrU8rqAt/csJgcmZ3RMcvGxxhahyC1NXpMTWVj8sztTBbTkM4Hh8uDyMI0x8kXS9RDVXThiqTgiyVGfy+lpKRAaGFrUOejrCyMPc7k5GSD24Oy88kkn6fUsKftTRXz4aNkw9v3/z+HjW/fkw0/TyzsTdK+J6cY/nnyze2M/t58XqU7dnv27EFycjImTJiA7du3w93dHd27d8euXbsq3WGojMzMTCiVSvVkxGUcHR21XgJPS0urVHoAmD9/PiwtLdV/+qa1KCwsBABwBeXfL8sRiDXSvIgxhhKFAhx+xe+mLdunIYPJi4qKAD23usqe0qvs4PTi4mKN7XXG4AmgUiqNenqquFhuUKyyeM/nseoxiwyPyTdNTHlxsd7bk//FFEKlUhlVrkqlEiql0vCYPCEURj7IUFbXdI1T0owpMPrhif/qq+Exi4yuP4afIwAAngDFxaYq28rENMFxcjgA17CXFnH4ponJNfQYAXD5QpPUIYNjcvkAh2N0TLlcrrcNL2Oqdq+oqPjlx6xUu1eazhSf58tu3xVyOTg8w7/HjG3fn1elMXb29vaYMmUKrl69inPnzqF+/fp4//334eLigk8//RR37twxSeZehWnTpiEnJ0f99/DhQ53pLS0tAQCqovxy61RFpZePtc05w+VyYSaRghVXfJlZVZQPHp8Psbjip/qeZ25uDibXPd5CVVwALo9Xqfn1AEAmK/2lrJJX3EHViCEvhFAoAo+n/5euNubmUoNiPZ+nsjxWlUwmg0pP+ZVhJoopkcrU+9JHJS+EQCA0qlz5fD6EQpHBZcvkhZBIjJvHrmwePFWxYWWrkhdCKjX+s6xsTAsT1J+yfRmCoyiCTGaasjW0DkFRZJLzBIyBKQx7IEJZXGiSmMriQoOuZjDGoCwuNHr+RZlMBlWxgeeJohhgzOiYUqkUMLBcTdUGmZvLwFG83LbWQiardPtu/OdpXql2r3QbI9t3iVTvd3IZU3xvPs+ohydSU1MRERGBiIgI8Hg89OjRA7GxsWjSpAl++uknk2SwjJ2dHXg8HtLT0zWWp6enw8mp4luZTk5OlUoPACKRCBYWFhp/unh5eYHL5UKecb/cOkVmEpzruOrsSHl51Yc8s+LOozzzAdzdPQ2aPNXLywtFWWlgJdp/2SieJsO1rlulJ2N1cysdZ1KSpf9yeEl2Klzr1TNqImRPDw8g17CByCXZaeDyeHBxcalyPADw8vCAKiddf0KUTuJraWVt9Inv4e4GRbZhtxhKslLhWs/N6HcMutathxJDY2anwt1d/xgjXWQyGaysbVCSbdjnqcpJg5eHcTGdnZ3B4/MNjom8dHh4uBsVszLnCACoctPU2xgb05A6xJgK8qxUk8U0pGxViiIU52aaJKZSUQzlM/1P9CqfPYVSUQx3d3ejYxblZkJlQEer7Hwy9jjd3d0hz0oFY/ofTlCYKKabmxtUOYa3taaI6eHhXqn2ncfnm6B9dzf4OBVZqaZp3z3cDW6DSrJTUaeucd+bz6t0x06hUODPP/9Ez5494ebmhp07d2Ly5MlISUnB+vXrERkZiR07dmDOnDkmyWAZoVCIgIAAjSfmVCoVoqKiEBgYWOE2gYGB5Z6wi4iI0Jq+KqRSKQJatkJxguZ0CYwxyO+dR9fgLjq379K5E0qSYsBUmpdgGVOhJOkyunTuZFA+AgMDwZRKFD3S/jRYycNrCOrYXut6bWQyGRo08kbxoxt605Yk30S7tvqfJNMlICAARemJBv3CKk6Og4+vH4RCw2/VVKRlywAoUm+X+xwqokiOQ8uWFc+/VBmtW7WEKjXeoCsRyrRbaNta99QdhmjbphVKUuP1pmOMQZkWjzatWxkds2XLAChS9A/yZiolFKnxaNnSuOMUCoXw8fVDcUqc3rQqeSGK0u4hIMC4z9POzg4urnVRnKw/ZkneExQ9TTP6OBs0aACpTGZQTEXmA5QUFRh9nM2aNQOXxzMopjzlNsCY0THLti9O1l+HyvJlbMyWLVsCjJUegwExuTwemjVrZlTMgIAAlBQVQJH5wKCYUpmsSm8nejFmUVY6SvL0d5qLH92Ei2td2NkZOI5UV8yX3L63atUSitR4w9r3lFto1cr4trZ1q5ZQphnWvpekxpukfS9T6Y6ds7MzwsLC4ObmhvPnz+PixYv44IMPNK5svf3227CysjJZJstMmTIFv/32G9avX4+4uDhMmDAB+fn5GD16NABgxIgRGjP0f/LJJzh48CB+/PFH3Lp1C7NmzcLFixfx4YcfmjRf48PDkJ9wAcUp/31hFsSdQFHmI4wdO1bntu+//z6KczORf/O4xvKC+NMoepqKESO0T8j5vGbNmsHd0wv51yqeaqQ4JR6F6YkYNGiQQft7Uf++fVB89yxUCu3jDhRPHqIwLQG9eumeK0if7t27Q6UsQcEd3TPlqxTFkN+7gN49Q42KBwA9evSAojAPRfev6EynLMxF0YNr6BlqmphFWWmQp93VmU6RnYaC5Nvo0aPiSUsrG7Mw5TYUen5JytMTUPQ01SQxe4aGoujBNSgLcnSmK7p/BYrCZyaJ2btnKOT3Luq94lJw5yxUyhJ0797dNDETzur98iiIjwaPzy/3YFdl8Xg8dO/WHfLbp/V+eRTcOgWpTIYOHToYFVMmk6FDh44ouq1/0tj8+FNwdHJG06ZNjYrp6uqKxj6+KIzXPxF54e1oNPbxNfqVUH5+fnB0dkG+ATGLbkejQ4eOMDc3Nypm+/btIZXJUHBLd0zGGOS3T6NbSIjRt+6Cg4PB4/NRoOc4mUoJecJZk7W1r6Z9f2Zw+x5qora26Gkq5Om656tUZKehMMU07XuZSnfsfvrpJ6SkpODXX3+Fv79/hWmsrKyQmJhobN7KGTJkCBYtWoQZM2bA398fV65cwcGDB9UPSDx48EDj6Zl27dphy5YtWL16NZo1a4Zdu3Zhz5498PXVPX9OZY0YMQItWgTg6Z7v8ezGUeRd3o+sQ0sxaPBgdOzYUee2AQEBGDhoEHKPrFZ3DIvT7iIncgVCe/ZE+/aGXWHjcDj4eupXyI87iaIkzcemmVKBnCO/oZF34ypXnrCwMCiLnuFZjPZXIeWc3gYHRyf06dOnSjHKeHh4oNPbnVFw8S+dX5LPrh6CsrhA3bE3RkBAAPyaNsOz87t1fknmXfwbfB4Pw4cPNzpmcHAwXOvWQ975P3Wmyz2/G5ZW1ujXr5/RMfv16wdLK2vkntMdM+/cLtRxrWt05wMA3n33XfB5PORd1D6HImMMzy7sho9fU6OvZAHA6NGjoSwuwLOr2udUZColCi7uQVCnt+Hp6Wl0zHHjxqE4+zHy47RPB8VKFCiI+Qf9+/Uzybt/w8LGoTD9HooSL2tNoyouQMHVAxg5YoRB43X1GR8ehoL7V1Gcqv1qlvJZFgpvHEF42DiTvId3wvhwFNw+A8VT7U+7Kp4moyD+ND4IDzM6HpfLxfiwcSi8cQTKZ1la0xWn3kbB/asYb4KYYrEYI0eMQMHVAzrHhxYlXkZh+j2Eh4cbHdPW1hb9+/VDweV/wEq0P/yYH3cCxdmPMW7cOKNj/te+79HTvh80afvu69dUf/t+Ya9J2/c6desh79wunelM2b6XqfQZ9/7775ukcaiqDz/8EElJSSguLsa5c+fQps1/t/2OHTuGdevWaaQfNGgQ4uPjUVxcjOvXr5u0V1xGIBDgwL/70aF1CzzZ9yOyIldi6OCBWLd2rUHb//7bb/D380Haxs+Qvnos0jZ8Cp+GXlj/wrHoM2bMGAR1ehtP985DQfxpMJUSJbkZyNwzD4r0BKxbu6bKv/C8vLwwadIk5EZvRnFq+Ydjnl0/gvybx7Hgh/kQiSp+yrcy5n3/HQrT7iH3fMVv3lBkpSAvejPGjBkDLy/D5mXThcPh4If581CQdFVrZ0CenoBn53fjsymfwt7esKk0dOHz+fj+u7nIv3UKBbdPV5im6ME15F85iG+nf2P0AGIAkEgkmPHtdORfPYSiBxXPm1Rw+wzyb53C99/NBZ9v2NOPutjb2+OzKZ8i78Jurb9en107jIL7V7Fg/jyTjDPx9PTE2LFjkRe9WWtnIPf8XyhMS8D8eaZ51VZAQAD69uuHvONrtd7ayj65ESW5GZg1a5ZJYr7zzjto36EjcqJWQllU/iEsxhiyolaDz0pM9r7hwYMHw8fXD9mHllV4RZQxFbIO/woLmRSTJ082Scxx48ahTp06yD60FExZfvonpixB9qGlqFOnDsLCjO9kAcDkyZNhIZMi6/CvFY57UymKkHN4GZr4+GLw4IpfO1ZZ06ZNA5+VICtqdYUdEGXRM+RErUT7Dh3xzjvvmCTm7NmzUZKXiewTFb9VoiTvCfKOr0Hffv2MvsVdprR9T9DTvm/BmDFjTPKjS6N9v3a4wjTy9AQ8u/CXadv3uXMMat9nfDvdJO17GQ4z1cQptVRubi4sLS2Rk5Oj90EKoPThDIFAABsbm0rFUSgU2LlzJ65duwYfHx8MGTKkSuMKcnJy8O67w/Hvv/vB5QugKlHAytoGW7dsRrdu3Sq9v+cVFhYiqNPbiLkaC/OO70PSsB1YiRzPrh5C7vk/MXrUKPzxxx8mGwA6ffp0fP/997AKGgWL1v3Uc0oVp95B1t/z4WpniUsXL6ifTDaF8ePH47ff/4B18HjI/Lup5wUsehCLrH/+hyYNPHDmdLTJftwwxjBw0CDs/XsfrLt9BEnjIHX5Fdw9j6z9P6J929aIjDhskk4WAJSUlOCdriE4deYcrEM/g+T/Z/RnjKEg7gSyDv6C3r1C8eeuXSb7LIuKitCufQfcuJ0A615fQlyv6f/HVOHZ1UPIjlyFsWNGY/Xq1SaJB5SeCwGtWuNRRjase0+FyLlhaUyVErkX/kL2sXX4+uuv8b2J3qEKlJ7/zVsEIEvBhXWvqRDalw40Z0oFsqO3IvfMDixevBiffvqpyWLeu3cPLQJaQm5mB+veX0Hw//NiqhRFyDq6Fs9i9mP9+vUGD+swxLVr19A2sB049p6wDv1c/XoxVXEBsg4vR37ccfz999/o2VP365Qq49SpU3j77c4QuTeHdfdPwJOUnvfKghxkHfgZxfdjcORIlN67JJWxb98+9O7dG9LGQbDuOlE9kW9J3hNk7V8ElnEPZ05HGz2+7nkbNmzAyJEjIWveA9ZvjwH3/6fNUmSnIevvBRAWZuLypYsm6fCU+emnnzBlyhRYtB0Eqw7vqqcjkWckIeufH2DFVyLm8iWdDx5Wlrp97zQKFq1eXvv++x9rYNUl/IX2/dr/t++e1di+fwxJ47eq3L5Xqi/CiE45OTkMAMvJyXnVWTGYSqViZ8+eZUuXLmVbt241ad7z8vLY6NGjGZfLZQAYACYSm7G5c+cypVJpsjiMlR7HtGnTSmNYOTBJo/ZM4tqEAWDN/Juzhw8fmjQeY4wpFAr2wQcfMABMbOvCJI3aM7M6DRkA1r5DR5aRkWHymIWFhWzosGGlMe3rMUmjDszMyZMBYN179GC5ubkmj5mbm8u69+jBADAzJ08madSBie3rMQBs6NChrLCw0OQxMzIyWPsOHUtj1mlYGtPWhQFg48ePZwqFwuQxHz58yPybt2AAmMS1CZM0as9EVo4MAJs6dSpTqVQmj3n79m3WoGEjxuFwmcTNj0katmNCcxvG5fHYggULqiVmTEwMc61bj3F5PCZx92eSBm2ZQGrJBAIhW7VqlcnjMcbYyZMnmZ29A+PxhUziGcAk9dswgZmMmUmkbNu2bdUS88CBA8zc0pLxRWZM4tWKSbxaMb7IjJlbWrJ///23WmJu27aNmUmkTGAmY5L6bZjEM4Dx+EJmZ+/ATp48WS0xV61axQQCIRNILZmkQVsm8fBnXB6Pudatx2JiYkweT6VSsQULFjAuj8eE5jZM0rAdk7j5MQ6Hyxo0bMRu375dLTHfmPZ96FCj2/fK9EXoip0elb1i96ZISUnBxYsXIRQKERgYaNJfVS+KiYnBmjVrEHfrFmxtbBAaGophw4ZBIDBsksuqOH36NDZs2IA7d+/CydERffv2xYABA0wyXkibqKgobNmyBfeTkuBapw4GDRqE0NBQk101exFjDPv378fOnTvxKDkZ7m5uePfdd9Gli+4nuY2hUqnw559/Ys+ePUhLT0eD+vUxYsQItGvXrtpilpSUYOvWrdi3bx8ynzxBk8aNMWbMGDRvXv41gKZSVFSEjRs34tChQ8jJzYWfry/CwsLQuHHjaouZn5+PNWvWICrqCAoKC9CieXOEh4eb9MrOi7Kzs/H777/j+PETKClRoFWrVhg/fjzq1KlTbTEzMjKwevVqnD5denurXbt2CA8PN8ntM22Sk5OxatUqXLhwAXy+AEFBb2HcuHHV8pBgmXv37mH16tW4HBMDiZkEXbp0xpgxY0x6y+5FcXFx+O233xB7/TosLSwQEhJS7cOvXmzfe/bsiWHDhpnsDkVFamL7Xpm+CHXs9KCOHSGEEEJepcr0Raqve2piT58+xfDhw2FhYQErKyuMHTtW74uBO3XqBA6Ho/H3wQcfvKQcE0IIIYS8XNV3rdPEhg8frn7ThUKhwOjRoxEeHo4tW7bo3C4sLExjsmSJRFLdWSWEEEIIeSVqRMcuLi4OBw8exIULF9RzXC1duhQ9evTAokWLdL5uRCKRmPRJHkIIIYSQ11WNuBV75swZWFlZaUxcGhwcDC6Xi3PnzuncdvPmzbCzs4Ovry+mTZuGggLdL+UtLi5Gbm6uxh8hhBBCSE1QI67YpaWlwcHBQWMZn8+HjY0N0tK0vxrp3XffhZubG1xcXHDt2jV89dVXiI+Px+7dFU+KCADz58/H7NmzTZZ3QgghhJCX5ZV27KZOnYoFCxboTBMXp/9l09o8/8oVPz8/ODs7o0uXLkhISND6toJp06ZhypQp6n/n5uaibt26Vc4DIYQQQsjL8ko7dp999hlGjRqlM42npyecnJzw+PFjjeUlJSV4+vRppcbPlb1+7O7du1o7diKRSOOVWGWzwdAtWUIIIYS8CmV9EENmqHulHTt7e3uDJpUMDAxEdnY2Ll26pH5X3ZEjR6BSqTTeFavPlStXAADOzs4Gb5OXlwcAdNWOEEIIIa9UXl6e3hcC1JgJirt374709HSsXLlSPd1Jy5Yt1dOdJCcno0uXLtiwYQNat26NhIQEbNmyBT169ICtrS2uXbuGTz/9FK6urjh+/LjBcVUqFVJSUmBubq6eIbrs9uzDhw9p0uIKUPnoRuWjH5WRblQ+ulH56EdlpNvrVj6MMeTl5cHFxUXvGzJqxMMTQOnTrR9++CG6dOkCLpeLAQMG4JdfflGvVygUiI+PVz/1KhQKERkZiSVLliA/Px9169bFgAEDMH369ErF5XK5cHV1rXCdhYXFa/GBv66ofHSj8tGPykg3Kh/dqHz0ozLS7XUqH0Nf3VljOnY2NjY6JyN2d3fXuPdct27dSl2ZI4QQQgip6WrEPHaEEEIIIUQ/6thVgUgkwsyZMzWeniX/ofLRjcpHPyoj3ah8dKPy0Y/KSLeaXD415uEJQgghhBCiG12xI4QQQgipJahjRwghhBBSS1DHjhBCCCGklqCOHSGEEEJILUEdOy1+/fVXuLu7QywWo02bNjh//rzO9Dt37oS3tzfEYjH8/Pzw77//vqScvlzz589Hq1atYG5uDgcHB/Tt2xfx8fE6t1m3bh04HI7Gn1gsfkk5frlmzZpV7li9vb11bvOm1J0y7u7u5cqIw+Fg0qRJFaav7fXnxIkT6NWrF1xcXMDhcLBnzx6N9YwxzJgxA87OzjAzM0NwcDDu3Lmjd7+VbcNeV7rKR6FQ4KuvvoKfnx+kUilcXFwwYsQIpKSk6NxnVc7T15m+OjRq1Khyx9utWze9+30T6hCACtsjDoeDhQsXat3n61yHqGNXge3bt2PKlCmYOXMmLl++jGbNmiEkJASPHz+uMP3p06cxbNgwjB07FjExMejbty/69u2L69evv+ScV7/jx49j0qRJOHv2LCIiIqBQKNC1a1fk5+fr3M7CwgKpqanqv6SkpJeU45fPx8dH41hPnTqlNe2bVHfKXLhwQaN8IiIiAACDBg3Suk1trj/5+flo1qwZfv311wrX/+9//8Mvv/yClStX4ty5c5BKpQgJCUFRUZHWfVa2DXud6SqfgoICXL58Gd9++y0uX76M3bt3Iz4+Hr1799a738qcp687fXUIALp166ZxvFu3btW5zzelDgHQKJfU1FSsWbMGHA4HAwYM0Lnf17YOMVJO69at2aRJk9T/ViqVzMXFhc2fP7/C9IMHD2ahoaEay9q0acPGjx9frfl8HTx+/JgBYMePH9eaZu3atczS0vLlZeoVmjlzJmvWrJnB6d/kulPmk08+YV5eXkylUlW4/k2qPwDYX3/9pf63SqViTk5ObOHChepl2dnZTCQSsa1bt2rdT2XbsJrixfKpyPnz5xkAlpSUpDVNZc/TmqSiMho5ciTr06dPpfbzJtehPn36sM6dO+tM8zrXIbpi9wK5XI5Lly4hODhYvYzL5SI4OBhnzpypcJszZ85opAeAkJAQrelrk5ycHAClr3zT5dmzZ3Bzc0PdunXRp08f3Lhx42Vk75W4c+cOXFxc4OnpieHDh+PBgwda077JdQcoPd82bdqEMWPGgMPhaE33JtWf5yUmJiItLU2jjlhaWqJNmzZa60hV2rDaJCcnBxwOB1ZWVjrTVeY8rQ2OHTsGBwcHNGrUCBMmTMCTJ0+0pn2T61B6ejr279+PsWPH6k37utYh6ti9IDMzE0qlEo6OjhrLHR0dkZaWVuE2aWlplUpfW6hUKkyePBnt27eHr6+v1nSNGjXCmjVrsHfvXmzatAkqlQrt2rXDo0ePXmJuX442bdpg3bp1OHjwIFasWIHExER07NgReXl5FaZ/U+tOmT179iA7OxujRo3SmuZNqj8vKqsHlakjVWnDaouioiJ89dVXGDZsmM4Xt1f2PK3punXrhg0bNiAqKgoLFizA8ePH0b17dyiVygrTv8l1aP369TA3N0f//v11pnud6xD/VWeA1FyTJk3C9evX9Y4rCAwMRGBgoPrf7dq1Q+PGjbFq1SrMnTu3urP5UnXv3l39/02bNkWbNm3g5uaGHTt2GPQL8E3zxx9/oHv37nBxcdGa5k2qP6TqFAoFBg8eDMYYVqxYoTPtm3aeDh06VP3/fn5+aNq0Kby8vHDs2DF06dLlFebs9bNmzRoMHz5c7wNar3Mdoit2L7CzswOPx0N6errG8vT0dDg5OVW4jZOTU6XS1wYffvgh9u3bh6NHj8LV1bVS2woEAjRv3hx3796tpty9PqysrNCwYUOtx/om1p0ySUlJiIyMxLhx4yq13ZtUf8rqQWXqSFXasJqurFOXlJSEiIgInVfrKqLvPK1tPD09YWdnp/V438Q6BAAnT55EfHx8pdsk4PWqQ9Sxe4FQKERAQACioqLUy1QqFaKiojSuGjwvMDBQIz0AREREaE1fkzHG8OGHH+Kvv/7CkSNH4OHhUel9KJVKxMbGwtnZuRpy+Hp59uwZEhIStB7rm1R3XrR27Vo4ODggNDS0Utu9SfXHw8MDTk5OGnUkNzcX586d01pHqtKG1WRlnbo7d+4gMjIStra2ld6HvvO0tnn06BGePHmi9XjftDpU5o8//kBAQACaNWtW6W1fqzr0qp/eeB1t27aNiUQitm7dOnbz5k0WHh7OrKysWFpaGmOMsffff59NnTpVnT46Oprx+Xy2aNEiFhcXx2bOnMkEAgGLjY19VYdQbSZMmMAsLS3ZsWPHWGpqqvqvoKBAnebF8pk9ezY7dOgQS0hIYJcuXWJDhw5lYrGY3bhx41UcQrX67LPP2LFjx1hiYiKLjo5mwcHBzM7Ojj1+/Jgx9mbXnecplUpWr1499tVXX5Vb96bVn7y8PBYTE8NiYmIYALZ48WIWExOjfqrzhx9+YFZWVmzv3r3s2rVrrE+fPszDw4MVFhaq99G5c2e2dOlS9b/1tWE1ia7ykcvlrHfv3szV1ZVduXJFo00qLi5W7+PF8tF3ntY0usooLy+Pff755+zMmTMsMTGRRUZGshYtWrAGDRqwoqIi9T7e1DpUJicnh0kkErZixYoK91GT6hB17LRYunQpq1evHhMKhax169bs7Nmz6nVBQUFs5MiRGul37NjBGjZsyIRCIfPx8WH79+9/yTl+OQBU+Ld27Vp1mhfLZ/LkyeqydHR0ZD169GCXL19++Zl/CYYMGcKcnZ2ZUChkderUYUOGDGF3795Vr3+T687zDh06xACw+Pj4cuvetPpz9OjRCs+psjJQqVTs22+/ZY6OjkwkErEuXbqUKzc3Nzc2c+ZMjWW62rCaRFf5JCYmam2Tjh49qt7Hi+Wj7zytaXSVUUFBAevatSuzt7dnAoGAubm5sbCwsHIdtDe1DpVZtWoVMzMzY9nZ2RXuoybVIQ5jjFXrJUFCCCGEEPJS0Bg7QgghhJBagjp2hBBCCCG1BHXsCCGEEEJqCerYEUIIIYTUEtSxI4QQQgipJahjRwghhBBSS1DHjhBCCCGklqCOHSGEEEJILUEdO0IIIYSQWoI6doQQQgghtQR17AghpBpkZGTAyckJ8+bNUy87ffo0hEIhoqKiXmHOCCG1Gb0rlhBCqsm///6Lvn374vTp02jUqBH8/f3Rp08fLF68+FVnjRBSS1HHjhBCqtGkSZMQGRmJli1bIjY2FhcuXIBIJHrV2SKE1FLUsSOEkGpUWFgIX19fPHz4EJcuXYKfn9+rzhIhpBajMXaEEFKNEhISkJKSApVKhfv377/q7BBCajm6YkcIIdVELpejdevW8Pf3R6NGjbBkyRLExsbCwcHhVWeNEFJLUceOEEKqyRdffIFdu3bh6tWrkMlkCAoKgqWlJfbt2/eqs0YIqaXoViwhhFSDY8eOYcmSJdi4cSMsLCzA5XKxceNGnDx5EitWrHjV2SOE1FJ0xY4QQgghpJagK3aEEEIIIbUEdewIIYQQQmoJ6tgRQgghhNQS1LEjhBBCCKklqGNHCCGEEFJLUMeOEEIIIaSWoI4dIYQQQkgtQR07QgghhJBagjp2hBBCCCG1BHXsCCGEEEJqCerYEUIIIYTUEtSxI4QQQgipJf4P8lfUFayooQ0AAAAASUVORK5CYII=",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -341,7 +341,7 @@
     },
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -351,7 +351,7 @@
     },
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -392,7 +392,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Source and monitors\n",
+    "### Source and Monitors\n",
     "\n",
     "Auxiliary function for creating the [point dipole source](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.PointDipole.html)"
    ]
@@ -440,7 +440,7 @@
     "\n",
     "2. Six [`FluxTimeMonitor`](https://docs.flexcompute.com/projects/tidy3d/en/latest/api/_autosummary/tidy3d.FluxTimeMonitor.html) surrounding the simulation domain, that will be used for discriminating the directions of losses, and calculation of directional Q-factors.\n",
     "\n",
-    "3. One 3D `FieldTimeMonitor` for calculating the total energy at the end of the simulation. To reduce memory requirements, we will set the `interval_space` as `(5,5,5)`, which means that we will record fields at each five grid points in all directions.\n",
+    "3. One 3D `FieldTimeMonitor` for calculating the total energy at the end of the simulation. To reduce memory requirements, we will set the `interval` as `10`, which means that we will record fields at each 10 time steps. For this example, we will not apply spatial downsampling, although it is possible to further reduce memory usage by adjusting the `interval_space` parameter.\n",
     "\n",
     "4. One planar `FieldTimeMonitor`, also recorded at the end of the simulation, to show the field profile. \n",
     "\n",
@@ -483,7 +483,7 @@
     "    size = tuple(np.array(simulation_size) * 0.9)\n",
     "\n",
     "    # defining the start time of the monitors to record only the last two oscillations of the field\n",
-    "    start = simulation.run_time - 2 / freq0\n",
+    "    start = simulation.run_time - 1 / freq0\n",
     "\n",
     "    # 3D field monitor for energy density calculation\n",
     "    field_monitor = td.FieldTimeMonitor(\n",
@@ -491,7 +491,8 @@
     "        size=size,\n",
     "        start=start,\n",
     "        name=\"fieldTimeMon\",\n",
-    "        interval_space=(5, 5, 5),\n",
+    "        interval_space=(1, 1, 1),\n",
+    "        interval=10,\n",
     "    )\n",
     "\n",
     "    # 2D field monitor for visualizing the resonant mode profile\n",
@@ -762,7 +763,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -831,13 +832,13 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:38:24 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'nanobeam_test'</span> with task_id                          \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:45:46 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'nanobeam_test'</span> with task_id                          \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-f9ba5d8e-b108-48be-ae44-26631873e021'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:38:24 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'nanobeam_test'\u001b[0m with task_id                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
+       "\u001b[2;36m13:45:46 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'nanobeam_test'\u001b[0m with task_id                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-f9ba5d8e-b108-48be-ae44-26631873e021'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
       ]
      },
      "metadata": {},
@@ -847,28 +848,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-357</span></a>\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">6-4dc6-b35d-85d058bfc1ac'</span></a>.                                         \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b10</span></a>\n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">8-48be-ae44-26631873e021'</span></a>.                                         \n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=632346;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=421719;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=632346;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=492985;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=632346;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\u001b\\\u001b[32m-d8b00709-357\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=632346;https://tidy3d.simulation.cloud/workbench?taskId=fdve-d8b00709-3576-4dc6-b35d-85d058bfc1ac\u001b\\\u001b[32m6-4dc6-b35d-85d058bfc1ac'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "56001079dbeb4df6a74a18fdb188cae3",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=759655;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=222705;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759655;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=747037;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=759655;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\u001b\\\u001b[32m-f9ba5d8e-b10\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=759655;https://tidy3d.simulation.cloud/workbench?taskId=fdve-f9ba5d8e-b108-48be-ae44-26631873e021\u001b\\\u001b[32m8-48be-ae44-26631873e021'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
       ]
      },
      "metadata": {},
@@ -877,82 +864,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-2d594d1c-257b-417d-92d0-e6dcb36d63f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:38:28 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.100</span>. Minimum cost depends on task       \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:38:28 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.100\u001b[0m. Minimum cost depends on task       \n",
-       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
-       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    }
-   ],
-   "source": [
-    "# estimating the cost\n",
-    "task_id = web.upload(sim, \"nanobeam_test\")\n",
-    "cost = web.estimate_cost(task_id)"
-   ]
-  },
-  {
-   "cell_type": "code",
-   "execution_count": 13,
-   "metadata": {},
-   "outputs": [
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'ellipse_nanobeam'</span> with task_id                       \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-673c97b4-e271-4281-80f3-ba34d94a36b6'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'ellipse_nanobeam'\u001b[0m with task_id                       \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-673c97b4-e271-4281-80f3-ba34d94a36b6'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e27</span></a>\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">1-4281-80f3-ba34d94a36b6'</span></a>.                                         \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=384434;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=743701;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=384434;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=983162;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=384434;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[32m-673c97b4-e27\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=384434;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[32m1-4281-80f3-ba34d94a36b6'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=380773;https://tidy3d.simulation.cloud/folders/folder-2d594d1c-257b-417d-92d0-e6dcb36d63f0\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
       ]
      },
      "metadata": {},
@@ -961,7 +877,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4b45abb5df3040b988cf1a75a5bd47d8",
+       "model_id": "d1e70842cdca4dff836e8d11926d6713",
        "version_major": 2,
        "version_minor": 0
       },
@@ -998,44 +914,15 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:38:32 -03 </span>status = queued                                                    \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:38:32 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:45:51 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.100</span>. Minimum cost depends on task       \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "c25917939581403b87babc6738e468e0",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
+       "\u001b[2;36m13:45:51 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.100\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -1044,36 +931,42 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:38:48 -03 </span>status = preprocess                                                \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:45:54 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.100</span>. Minimum cost depends on task       \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:38:48 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
+       "\u001b[2;36m13:45:54 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.100\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
+    }
+   ],
+   "source": [
+    "# estimating the cost\n",
+    "task_id = web.upload(sim, \"nanobeam_test\")\n",
+    "cost = web.estimate_cost(task_id)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 13,
+   "metadata": {},
+   "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:38:49 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.100</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'ellipse_nanobeam'</span> with task_id                       \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:38:49 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.100\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'ellipse_nanobeam'\u001b[0m with task_id                       \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
       ]
      },
      "metadata": {},
@@ -1082,11 +975,15 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>starting up solver                                                 \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb</span></a>\n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">4-4746-8597-51adcc77ff5a'</span></a>.                                         \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=68584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=464943;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=68584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=823778;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=68584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\u001b\\\u001b[32m-cc48280a-0fb\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=68584;https://tidy3d.simulation.cloud/workbench?taskId=fdve-cc48280a-0fb4-4746-8597-51adcc77ff5a\u001b\\\u001b[32m4-4746-8597-51adcc77ff5a'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
       ]
      },
      "metadata": {},
@@ -1095,11 +992,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-2d594d1c-257b-417d-92d0-e6dcb36d63f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=731863;https://tidy3d.simulation.cloud/folders/folder-2d594d1c-257b-417d-92d0-e6dcb36d63f0\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
       ]
      },
      "metadata": {},
@@ -1108,7 +1005,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "4a01ecd454d04c05b5897f017d0b322a",
+       "model_id": "fdb1f616918645db9db84cbd35457558",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1142,41 +1039,18 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "36764080ba3a4a919c11767a0052db7b",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:42:41 -03 </span>status = postprocess                                               \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:42:41 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:43:22 -03 </span>status = success                                                   \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:45:58 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.100</span>. Minimum cost depends on task       \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:43:22 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
+       "\u001b[2;36m13:45:58 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.100\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -1185,25 +1059,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e27</span></a>\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">1-4281-80f3-ba34d94a36b6'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:45:59 -03 </span>status = success                                                   \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=388517;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=909941;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=388517;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=997105;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=388517;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[4;34m-673c97b4-e27\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=388517;https://tidy3d.simulation.cloud/workbench?taskId=fdve-673c97b4-e271-4281-80f3-ba34d94a36b6\u001b\\\u001b[4;34m1-4281-80f3-ba34d94a36b6'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
+       "\u001b[2;36m13:45:59 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
       ]
      },
      "metadata": {},
@@ -1212,7 +1072,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f9542ae4116a48248ec0de0360794c09",
+       "model_id": "d517156f38f74335a8726c653ba46068",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1249,11 +1109,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:44:25 -03 </span>loading simulation from simulation_data.hdf5                       \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:46:54 -03 </span>loading simulation from simulation_data.hdf5                       \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:44:25 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
+       "\u001b[2;36m13:46:54 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
       ]
      },
      "metadata": {},
@@ -1262,14 +1122,14 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:44:26 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.268</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater    </span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:46:55 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.268</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater    </span>\n",
        "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
        "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
        "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:44:26 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.268\u001b[0m\u001b[31m is greater    \u001b[0m\n",
+       "\u001b[2;36m13:46:55 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.268\u001b[0m\u001b[31m is greater    \u001b[0m\n",
        "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
        "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
        "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
@@ -1307,7 +1167,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -1331,7 +1191,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Resonance and Q-factor analysis\n",
+    "### Resonance and Q-factor Analysis\n",
     "\n",
     "Next, we will collect the data for the point field monitors and use the `ResonaceFinder` plugin that implements the harmonic-inversion algorithm, which is a convenient technique to analyze exponential decaying fields, allowing us to get Q-factor information with a relatively short simulation time.\n",
     "\n",
@@ -1423,8 +1283,8 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1.941258e+14</th>\n",
-       "      <td>7.709018e+07</td>\n",
-       "      <td>7.911051e+06</td>\n",
+       "      <td>7.709026e+07</td>\n",
+       "      <td>7.911042e+06</td>\n",
        "      <td>63674.827463</td>\n",
        "      <td>0.989458</td>\n",
        "      <td>0.00361</td>\n",
@@ -1437,7 +1297,7 @@
       "text/plain": [
        "                     decay             Q     amplitude     phase    error  \\\n",
        "freq                                                                        \n",
-       "1.941258e+14  7.709018e+07  7.911051e+06  63674.827463  0.989458  0.00361   \n",
+       "1.941258e+14  7.709026e+07  7.911042e+06  63674.827463  0.989458  0.00361   \n",
        "\n",
        "                      wl  \n",
        "freq                      \n",
@@ -1475,7 +1335,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "### Mode volume calculation\n",
+    "### Mode Volume Calculation\n",
     "\n",
     "The mode volume will be calculated by the definition:\n",
     "\n",
@@ -1531,7 +1391,7 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mode volume: 0.43 (lambda/n)^3\n"
+      "Mode volume: 0.38 (lambda/n)^3\n"
      ]
     }
    ],
@@ -1557,7 +1417,63 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "## Directional Q-factor calculation\n",
+    "### Reducing Memory Usage for Mode Volume Calculation\n",
+    "\n",
+    "When calling `Efield = sim_data[\"fieldTimeMon\"]` in the `get_energy_density` function, a copy of the raw field monitor is created and expanded to symmetric coordinates, which increases memory usage.\n",
+    "\n",
+    "To reduce memory usage during mode volume calculation, one can use the raw fields without symmetry expansion and multiply the result by 8, since the integration is performed over only 1/8 of the total volume. The results may differ slightly due to the central coordinate being included in the reduced domain, which causes the central point to be overcounted in the integration. However, this does not substantially affect the results."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 19,
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "def get_energy_density_raw_data(sim_data):\n",
+    "    # retrieving monitor data\n",
+    "    Efield = sim_data.monitor_data[\"fieldTimeMon\"]\n",
+    "\n",
+    "    # retrieving permittivity data and interpolating it at the same grid points of the monitor data\n",
+    "    eps = abs(sim.epsilon(box=td.Box(center=(0, 0, 0), size=(td.inf, td.inf, td.inf))))\n",
+    "    eps = eps.interp(coords=dict(x=Efield.Ex.x, y=Efield.Ex.y, z=Efield.Ex.z))\n",
+    "\n",
+    "    # calculating the energy density\n",
+    "    energy_density = np.abs(Efield.Ex**2 + Efield.Ey**2 + Efield.Ez**2) * eps\n",
+    "\n",
+    "    # calculating the temporal mean value\n",
+    "    delta_t = energy_density.t[-1] - energy_density.t[0]  # signal duration\n",
+    "    energy_density_temporal_mean = energy_density.integrate(coord=(\"t\")) / delta_t\n",
+    "\n",
+    "    return energy_density_temporal_mean, eps\n",
+    "\n",
+    "\n",
+    "energy_density2, eps2 = get_energy_density_raw_data(sim_data)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": 20,
+   "metadata": {},
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "Mode volume: 0.37 (lambda/n)^3\n"
+     ]
+    }
+   ],
+   "source": [
+    "Vmode2 = 8 * mode_volume(energy_density2, eps2)\n",
+    "print(f\"Mode volume: {Vmode2:.2f} (lambda/n)^3\")"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "metadata": {},
+   "source": [
+    "## Directional Q-factor Calculation\n",
     "\n",
     "We can decompose the total Q-factor into its directional contributions:\n",
     "\n",
@@ -1570,12 +1486,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 19,
+   "execution_count": 21,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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QIMyfPx8333wzfvCDH2DGjBn45JNP8PDDD2PixIk477zzAACvvfYa5syZgzPOOAP7778/TNPEE088AVmWcdpppwEAbrnlFrz55puYPn06Ro4ciV27duHhhx/GsGHDcg57Uchy559/Pv72t7/h0ksvxerVq3HMMcfAsix8/PHH+Nvf/oZXXnkFRx55JEaPHo1f//rX+M1vfoPjjjsOp556KnRdx3vvvYe6ujosWrQIgH2xf+SRR3Drrbdi9OjRGDx4cKojRluqquKOO+7AhRdeiKlTp+Kcc85JDXeyzz774Oqrr+5s2NIcffTR6NevH2bPno2f//znYIzhiSeeyJhcTJgwAU8//TTmzZuHiRMnwufz4Uc/+lHG9f785z/H7t27cc011+Cpp55K++ywww7DYYcdBqBzbeyGDRuGuXPn4q677oJhGJg4cSKWL1+Ot956C0uXLk17RDl//nw8/vjj2LJlS2rcvdNPPx1HHXUULrzwQmzcuDH15gnLsnDzzTenfdddd92FGTNm4KSTTsLZZ5+Njz76CA8++CB++tOfdhhupT2Xy4WTTjoJr776Km655ZYOn69YsQLnnnsuvve97+HTTz/Fo48+Co/Hg3/84x+YOHEiTj755KL3TSaGYaTGkSSkovRIX1xCSE5bt24Vs2bNEoMGDRK6rot9991XXHHFFSIejwshnOFOMg2JIoQ9vMnYsWOFqqqipqZGXHbZZWLPnj2pz7/44gvxk5/8ROy3337C5XKJ/v37ixNOOEG8+uqrqXlWrVolTjnlFFFXVyc0TRN1dXXinHPOEZ9++mnOshe6XCKREHfccYc4+OCDha7rol+/fmLChAni5ptvFsFgMG3eP//5z+Lwww9PzTd16lSxcuXK1OcNDQ1i+vTpoqqqSgBIDX3SfriTpKeffjq1vv79+4tzzz1XfP3112nzzJ49W3i93g7blxwqI5933nlHHHXUUcLtdou6ujpxzTXXiFdeeaVDeVpaWsT/9//9f6K6uloAyDn0ydSpU7MOXdJ2OI/OsixL/Pa3vxUjR44UmqaJgw8+WPzlL3/pMF9yKJgtW7akTf/uu+/ERRddJAYMGCA8Ho+YOnVq1mP02WefFePHjxe6rothw4aJG264QSQSiYLK+fe//10wxtKGTEkOd/Lb3/5W1NfXC13XxahRo8Qzzzwjrr/+euHxeMTNN98shHBi2H5Inmwxnzp1qjj44IPTpr388ssCgNi8eXNBZSaku9C7YgkhhOxVLMvCQQcdhDPPPBO/+c1vANhvnhg1ahQee+wxXHDBBWUvw8yZM8EYSz3qJaRSUBs7QgghexVZlnHLLbfgoYceQktLS7d//6ZNm/DCCy+kkkpCKgkldoQQQvY6Z511Fr777rucr2ArlwMPPBCmaRY83iQh3YkSO0IIIYSQXoLa2BFCCCGE9BIVd8fukUcewWGHHQa/3w+/348pU6bg5ZdfzrnMsmXLMHbsWLhcLhx66KF46aWX0j4XQmDBggUYMmQI3G436uvrsXnz5nJuBiGEEEJIt6u4xG7YsGG4/fbbsX79eqxbtw7f//73ccopp+A///lPxvnfffddnHPOObjooovw/vvvY+bMmZg5c2bayP133nknHnjgASxevBhr166F1+vFtGnTUu8wJIQQQgjpDfaKR7H9+/fHXXfdhYsuuqjDZ2eddRbC4TBeeOGF1LSjjjoK48ePx+LFiyGEQF1dHX7xi1/gl7/8JQD7Bdw1NTVYsmQJzj777ILKwDnHN998g6qqKnrhMyGEEEK6jRACzc3NqKurgyTlvidX0W+esCwLy5YtQzgcxpQpUzLOs2bNGsybNy9t2rRp07B8+XIA9rv8Ghoa0kZiDwQCmDx5MtasWZM1sYvH42mvHNq+fTuWLFkCRSl8lwkhsGfPnoJeZaNpWipYnHMkEomCv6dUFEVJ2754PF6W1/DkwhhLvXoIAEzT7PDqq+5A8bBRPBwUDwfFw0bxcFA8HIXEgzGGfv36FXWj6Le//S22bduGYcOG5ZyvIhO7Dz/8EFOmTEEsFoPP58Ozzz6Lgw46KOO8DQ0NqKmpSZtWU1ODhoaG1OfJadnmyWTRokUdXoNz/fXXw+PSkCdZThEC2Ke2DrKUP3AJUyAYsd+FGfBI0JRuuisoLMC0x4HiAvg26gKYAk1hCHh65kl9MMKRMO0TwoAqCVIP3CHtsXi0wYXAt812GSgeFI8kioeN4uHo0/Focw0DgGBMRULYyV0lx8PiAo0hjkKLl3xVdlVVVd55KzKxO+CAA/DBBx8gGAzimWeewezZs/HGG29kTe7KYf78+Wl3AkOhEB555BFIEqAq+Q9YzgW4AHRNyVvJEgZHU8SCW7PXG0kAHl2CpnZDxRAMSLQmdRENqiSg6xJiBmBxhiqPnH8dJdQcscAFg88lIW4KRBMMA/xyt1bOHo1HKy4Evg1ZUBUJusIQMwTFg+JB8WhF8XD0+Xi0XsMAoDmugAu5NR6o6HgkTAFJMiAxQCrg5o9h2pldIXf4Kq7zBGDfxhw9ejQmTJiARYsWYdy4cbj//vszzltbW4udO3emTdu5cydqa2tTnyenZZsnE13XUz1zk3/lkDA4GpstqDLDwICCgQEFqszQ2GwhYfCyfGd7yaTOsBgGehMYUCXB75YQinI0R6xuKQNgnyRDUQ6/W8IAv4KBVTIMyz5h8G66pV8Z8bC32bAEBlbJGOBXKB4UD4pHK4qHg+LhaI4rCMUU+F0mBlRJfTYeQIUmdu1xztPau7U1ZcoUrFq1Km3aypUrU23yRo0ahdra2rR5QqEQ1q5dm7XdXndpexAkf1VIzP7/7joYuBBpSZ0m2xWgyiN3a+Vse5JM/srT1O6tnBUTjzYnyeSvPIoHxYPiQfFoi+LhaJvUVel2m7q+GI+kikvs5s+fjzfffBNffvklPvzwQ8yfPx+vv/46zj33XADArFmzMH/+/NT8V111FVasWIG7774bH3/8MW666SasW7cOc+bMAWDftpw7dy5uvfVWPP/88/jwww8xa9Ys1NXVYebMmT2xiQAyHwRJ3XUw2JWSd0jqkrqrcmY6SSZ1V+WsnHh0PEkmUTxsFA8HxcNB8bD1uXhEeYekLqkvxaOtikvsdu3ahVmzZuGAAw7AiSeeiPfeew+vvPIK/s//+T8AgK+++go7duxIzX/00UfjySefxKOPPopx48bhmWeewfLly9Pe4XfNNdfgyiuvxCWXXIKJEyeipaUFK1asgMvl6vbtA3IfBEnlPhicSomMSV1SuStnrpNkUrkrZ2XFI/NJMoniYaN4OCgeDoqHrU/FIyIyJnVJfSEe7e0V49hVglAohDvuuAM+j1ZU54kh/dW0zhOFHARp6ymwAhUjfZ0MGg+mz6BVAyz9pFXICa1Yxa6z2H1XiMqLR2HrpHjYKB4OioeD4mHrG/EAquRQ+ocZrmGVFo+AR0ZjyCyq88T1N9yEYDCYt81/xd2x6806c2CVOtPvUCkL7BZf6l9enanopf7lVZHxKPDES/GwUTwcFA8HxcPWJ+LhLqwMlRaPPS0WOC/PfTVK7IogyzI6eyx05ddCqSpnV3+9lapyduXXW6kqJ8XDQfGwUTwcFA8HxcNG8XCUIh6KDJjcHs+u1CixK5Jh2b10i1GKW8BdrZyluiXf1cpZilvyXa2cFA8HxcNG8XBQPBwUDxvFw1GqeFT7ZDAACRMwrdK2uaPErgjJhC5uFJ7cGaYo2XP9zlbOUrez6GzlLGU7i85WzlK2s6B4OCgeDoqHjeLhoHg4KB42iTHIEuzkzihtckeJXRGEEFAk+1VhhSR3nAvsaSltY81iK2c5Gs8CxVfOcjSeLbZylqPxLMXDQfFwUDxsFA8HxcNB8bBJEoOuAoyVNrmjxK5IkgRoav7kzuICJgcUGSV/pUmhlbNclTKp0MpZjkqZVGjlLEelTKJ4OCgeDoqHjeLhoHg4KB42xgpL7op5YkyJXScospQzuTMtjoRp32Kt9pXnPXX5Kme5K2VSvspZzkqZlK9ylrNSJlE8HBQPB8XDRvFwUDwcFA+bJEk5kzvOOYwimiRSYtdJ2ZI70+JIGHZSJ0soy0GQlK1ydlelTMpWObujUiZlq5zdUSmTKB4OioeD4mGjeDgoHg6Khy1bcsc5R9wobl1KGcrXZyiyBMBO5OIGoMqtd+oYoCmAQPkOgqRk5fw2ZKGx2cKAKiAU4d1WKZOSFS8UdX5pdFelTLIrJ9DYbOHbkAW/R8K33VQpkygeDoqHg+Jho3g4KB4OiofNTu7sRC5hABD2nTohgALei+Csp2wl7COSd+64AOImAIbWrLv8B0FSalwcCWgMWUiY3Vspk9r+8uruSpmU/OWVMAUaQxYUqfRtHPOheDgoHg6Kh43i4aB4OCgetuSdOzA7p+DCbtcvUWJHCCGEENL3UGLXRck2dRIDdAVAa5u77nwFb7JNhMmBgX77NWHd8aLh9tq2iSjni59zSbaJ0BSGgX4ZJkdZXvycC8XDQfFwUDxsFA8HxcNB8bCl2tQJO6eQWtvcFfNeBErsuiDVUaL18auitO9QUf6DoX1DV12VSvpuwEK1b+ha6ncDFqJ9Q1e9xO8GLATFw0HxcFA8bBQPB8XDQfGwJZM60fr4VVGcDhUmJXbl1z6pk1ofgKd6ywKwOMp6MGTrvVTqFz/nk633UndWzmy9l0r94udcKB4OioeD4mGjeDgoHg6Kh61DUie3xiPZ5q4IlNh1QrakLkmRpdZesUBTS3kOhnxd0rurcubrkt4dlTNfl/TuqJwUDwfFw0HxsFE8HBQPB8XDli2pS5IkCWoR/UgosSsS58iZ1CXJEoMiAaZV+mf0hY4zVO7KWeg4Q+WsnIWOM1TOyknxcFA8HBQPG8XDQfFwUDxsQoicSV1SMR1zKbErAmMMJs+f1CVJEkM/X2kPhmIHjyxX5Sx28MhyVM5iB48sR+WkeDgoHg6Kh43i4aB4OCgeNs4LS+qKRYldEZKJXCFJXZKqsJIdDJ0dEbzUlbOzI4KXsnJ2dkTwUlZOioeD4uGgeNgoHg6Kh4PiYeNCwOJ2k61SJnUAJXZFU+XCk7qkUhwMXX3NS6kqZ1df81KKytnV17xQPBwUDxvFw0HxcFA8bBQPR6ni0dRi2UmdUtqkDqDEriiWZRX1nLutrhwMpXp3X1crZ6ne3deVylmqd/dRPBwUDxvFw0HxcFA8bBQPRyniYVr2a8JkqfRvtaDErht15mAo9QuZO1ROs7ADstQvZO5M5Sz1C5krMh4FniwpHjaKh4Pi4aB42PpEPKKFlaHS4tHPJ0MqQ1IHUGLX7Yo5GEpdKZPSKmeII2HlPrhKXSmTijlZlrpSJlVcPAo4WVI8bBQPB8XDQfGw9Zl4RASa40rOeSsxHqpSvvfPUmLXAwo5GMpVKZOcygk0hrWsyV25KmVSISfLclXKpMqKR+6TJcXDRvFwUDwcFA9bn4qHhyEUU7Imd30hHu1RYtdDch0M3XUQ2JVTgiqLjMlduStlUq6TZbkrZVLlxCP7yZLiYaN4OCgeDoqHrc/Fwy3B7zIzJnd9KR5tUWLXgzIdDN2e2TOGAZ5Eh+SuuyplUqaTZXdVyqSKiUeGkyXFg+JB8aB4tEXxcFTpZofkri/GIyn3g2lSdvbBADQ2W2gMmgDsl/1250EgMWCAJ4FvIxoawxp0kyNmoNsqZVLyu0JRjoQpEDdFt1XKpMqIh73N34YsNDZb0BWOmCEoHhQPABQPioeD4uGo0u3tD8UUJMARN9En4wFU4B27RYsWYeLEiaiqqsLgwYMxc+ZMfPLJJ3mXW7ZsGcaOHQuXy4VDDz0UL730UtrnQggsWLAAQ4YMgdvtRn19PTZv3lyuzSiKpkoYUCXDsADDAgZ080EAOMmdEAyxhIBLZd1aKZOqPDJcKkPMEBAC3VopkyojHvYJSQggZlA8KB42ioeN4uGgeDiqdBMu1UIs0cfj0a3fVoA33ngDV1xxBf75z39i5cqVMAwDJ510EsLhcNZl3n33XZxzzjm46KKL8P7772PmzJmYOXMmPvroo9Q8d955Jx544AEsXrwYa9euhdfrxbRp0xCLxbpjs3LiQiAUcdonhCK8LC8azieccG7gxk1Rthc/55IwOOJthmAJF9iVvZQqJh5ttp3iQfEAKB5tUTxsFA9HwmKIm05a01fjwYTogSOgCLt378bgwYPxxhtv4Hvf+17Gec466yyEw2G88MILqWlHHXUUxo8fj8WLF0MIgbq6OvziF7/AL3/5SwBAMBhETU0NlixZgrPPPjtvOUKhEO644w74PBpUJX8+zLkAF8CQ/iq0HN2a2z+DB9Ct7QIgLCDRhOa4glBMgd9lwuvz4ttmdHu7gPZtIsJR3q3tNIAKiEertm1UvG6pR9ppUDwcFA8bxcNB8XD0aDxar2EJi6ExrEGVBQZUuxGOsYqOR8IU2PGdAYmhoPHsDJPj+htuQjAYhN/vzzlvxd2xay8YDAIA+vfvn3WeNWvWoL6+Pm3atGnTsGbNGgDAli1b0NDQkDZPIBDA5MmTU/O0F4/HEQqF0v5KLVPDynK8aDiftkldlW6W7cXPuWRq6FqOFz/nUjHxaNfwmOJB8aB4OCgeNoqHIy2p8yT6dDyACk/sOOeYO3cujjnmGBxyyCFZ52toaEBNTU3atJqaGjQ0NKQ+T07LNk97ixYtQiAQSP0NHz68K5vSQa7eMt15MDRHeVpSl9SdlTNX76XuqpwVE48svckoHhQPigfFI4ni4UiYol1S53zW1+KRVNGJ3RVXXIGPPvoITz31VLd/9/z58xEMBlN/27ZtK9m6C+kC3R0HQ3PEQigiOiR1Sd1ROQvpkl7uyllR8cjx6IDi4aB4OCgeNoqHo0/FI8QzJnVJfSUebVVsYjdnzhy88MILWL16NYYNG5Zz3traWuzcuTNt2s6dO1FbW5v6PDkt2zzt6boOv9+f9lcKxYxrU86DIVUpPSxjUpdUzspZzDhD5aqcFRePPO1BKB4OioeD4mGjeDj6TjyQNalL6u3xaK/iEjshBObMmYNnn30Wr732GkaNGpV3mSlTpmDVqlVp01auXIkpU6YAAEaNGoXa2tq0eUKhENauXZuapzt0ZrDCchwMaZXSnb8M5aicnRk8stSVsyLjUUAjX4qHg+LhoHjYKB6OvhEPKWdSl1Rp8WhqscB5eZK7ikvsrrjiCvzlL3/Bk08+iaqqKjQ0NKChoQHRaDQ1z6xZszB//vzUv6+66iqsWLECd999Nz7++GPcdNNNWLduHebMmQMAYIxh7ty5uPXWW/H888/jww8/xKxZs1BXV4eZM2cWXDZJ6vzu6soI1KWsnJ0dEbyUlbMrI4KXqnJSPBwUDwfFw0bxcFA8HBQPWyniYVqAxe2bWaVWcW+eeOSRRwAAxx9/fNr0xx57DBdccAEA4KuvvkpLso4++mg8+eSTuOGGG3D99ddjzJgxWL58eVqHi2uuuQbhcBiXXHIJmpqacOyxx2LFihVwuVwFl40xBtMEZCl/ILiwB0g0TAEhBPa0WDAtgX5eGWAMCbPIYDKGgFvCnrCFXU0C/XwyWJFd2cNRCy0xDp9Lgq5JdhmEANq9IxamAFjm8vk9Eva0WNgVNNHPK0Mtsiu7YXDsCVtQZAa/R4JpAUBx+0LXJHgsgaawvU+97uK6sld0PIpE8WhF8UiheDgoHq16czyKvIZVSjyq3BIicfstTzp43gS1mPyv4sexqxTJcew0TYMsAYqcOwjJxK7aK6eyck2R0IWbfvZ6OZAwORhj0BSGQuumaQkYlv3Km7SyCw5YkfSZZQ/AshdUCLsnUrHb1NmyZ5N1m3LobNmzKXk8OoHi4aB4OCgeNoqHo1fGoxPXMKDn42FadoLIOcAYoMjImWxzLvDrGwsbx67i7thVsj179mD/UTVImAw+l5Qz0zdMgViC44cTAwh4u//VKgWzokDTF+nTqg8BZHfPlIcQQggp1F56DQuGLbz0XhAyA5pjHIrMct5JjcWzd3JsjxK7InDOUeWWYXF7RGtF5lnbGQhhv3ki4JXRv6qCd7MpAQkjfZpPApQKLjMhhBAC7NXXMEVmcGkS3LqExmYLoQjP2m7QNAu/U1pxnSf2BvkaYPLWZ/D0lJsQQgghuRTSwSUSL7zDSeWntBUqeacu1PqS4eS/k71lTEvA5yrjI1ghAFH4rdmsuGm/a6/9NG5knp8QQgipFOW8hjEFXW5cWSA7ubPfLfttyEq7c9ccsRCOF36jiBK7Lmif3LV9+XE/rwyrnDfshAk0Zn7PbVF4AghvbbduC5C0rq+bEEIIKadyXsMGTgGY2vX1FChTcheOcoSiHF698ASTErsuapvchaIcjAEDq+wu0Fai/C8/JoQQQkjv0Da52/Gd/VTO75YKGmYtiRK7EvC2trcDAF1h0NTOjfHTac2bO7+ssID4tx2nsQruyUsIIYQA5bmGVY3pWpm6SFMl6ApHzLDzCK9bQixe+IDK1Hmii5Jt6hgDXCpDzBBledEwIYQQQnq/5oiFmCHgUu3x+op9YwjdseuCTK8VSb5yxWMJyF0cyLFo3pHF/0qxEgDaldMzApCpjR0hhJAKV6prmLA6ttXrAe1f25Z8hZoRoV6xZZftXXHJNndNYQteVzffEGVy8YmdJHccoVvqxHoIIYSQ7taLrmGZ3sWbbHO3s4kSu7LK9wLgKo8M0xJIlLVbLCGEEEJ6g0xJXZKmSgh4Cr9RRG3sipQvqUvyumWo3f0olhBCCCF7lVxJXVIx7+ilO3ZFCkU4wKScSV1SV1+WTAghhJDeKxy1EEmInEldseiOXRE0TYPFUVBSRwghhBCSjWkJtMRy36nrDMpOiiBJ9nNuSuoIIYQQ0hWGJeBzlTapAyixK0o8HqfHq4QQQgjpMlVm8LpL33uXErsiiCIGCCSEEEIIyaZcN4oosSOEEEII6SUosSOEEEII6SUosSOEEEII6SVoHLtiCQsQBTwXF8L+s6KAWYb8mZsATzhlAux35kmdeFdscvm20wghhJBKV6prGLec9SSvrWYEkMqUJlkcELw1Vygkp7Dyz9OKErtimS1AIceMxQBLBpq+ABJG6cvR9oXF8W9bJ7KO78wrZD2p5dvYC9+zRwghpI8p1TVMcGc9yWU78/71QkVUwKoFDAvgBXTMNAtfNT2KJYQQQgjpJSixI4QQQgjpJSixI4QQQgjpJaiNXbEUH6AVsNvM1s4T1YcAvjJ1nkg2pkz+1zOic50n2nMPA2Sta+UjhBBCyq1U1zBuAWht6+Ydaf+33xHl6zyhcUCOACoDlAI6T/DCG9lVXGL35ptv4q677sL69euxY8cOPPvss5g5c2bOZV5//XXMmzcP//nPfzB8+HDccMMNuOCCC9Lmeeihh3DXXXehoaEB48aNw+9//3tMmjSp+AIW2piSCYBxQHYDShl2MzcASXPKBNgHcmcaerZfRtacdRNCCCGVrBTXMGY560kuq3gASe16+TKRTYDF7A6PrIDEjhX+5quKexQbDocxbtw4PPTQQwXNv2XLFkyfPh0nnHACPvjgA8ydOxc//elP8corr6TmefrppzFv3jwsXLgQGzZswLhx4zBt2jTs2rWrXJtBCCGEENLtKu6O3X/913/hv/7rvwqef/HixRg1ahTuvvtuAMCBBx6It99+G/feey+mTZsGALjnnntw8cUX48ILL0wt8+KLL+LPf/4zrrvuutJvBCGEEEJID6i4O3bFWrNmDerr69OmTZs2DWvWrAEAJBIJrF+/Pm0eSZJQX1+fmieTeDyOUCiU9kcIIYQQUsn2+sSuoaEBNTU1adNqamoQCoUQjUbR2NgIy7IyztPQ0JB1vYsWLUIgEEj9DR8+HKyQ5+CEEEIIIXmYVuHt5oqx1yd25TJ//nwEg8HU37Zt26DretkCQQghhJC+w7AEwtHCXxVWqIprY1es2tpa7Ny5M23azp074ff74Xa7IcsyZFnOOE9tbW3W9eq6Dl3X06ZxzhGMcLg0Dk2lnJgQQgghnaPKDC0xDkW2UOUp3avL9vrsZMqUKVi1alXatJUrV2LKlCkAAE3TMGHChLR5OOdYtWpVap5CJRIJyBLQ2GwhYfCuF54QQgghfZIiM/hcEkJRjuZI6e7cVVxi19LSgg8++AAffPABAHs4kw8++ABfffUVAPsR6axZs1LzX3rppfjiiy9wzTXX4OOPP8bDDz+Mv/3tb7j66qtT88ybNw9/+MMf8Pjjj2PTpk247LLLEA6HU71ki+H3SFBlVlByR49tCSGEEJKN1y3D7y5tcldxj2LXrVuHE044IfXvefPmAQBmz56NJUuWYMeOHakkDwBGjRqFF198EVdffTXuv/9+DBs2DH/84x9TQ50AwFlnnYXdu3djwYIFaGhowPjx47FixYoOHSoKITGGAX4Z34YsNDZbGFiFjI9lw1ELBiV2hBBCCMkh+Rg2FOVp/26rmBtFFZfYHX/88RAi+wYsWbIk4zLvv/9+zvXOmTMHc+bM6WrxAORP7pojFlpiHF5Xxd0QJYQQQkiFyZXcJQy7fX+hKPPopGRy1/6xbHPEQijK4XNJUGQaHoUQQggh+VV5Oj6WTRgcjc0W5CKytYq7Y7c3aX/nTlc4YoaA3y1B1yTEEtTBghDSOwguYMQ4tBL23iOEpGt75y5hCsRNAVVmcGuFZ3Z0x66LksmdEEDMEHCprKTdlgkhpBJsfW8PXn/gc5jx0o+7RQhxVHlkuFSGmCEgBDDAL0Mq4gUJlNiVQDjq3JmLm4KGQiGE9CpCCGz91x60NMbRsKmlp4tDSK+WMDjiptPXoG2OUQhK7Loo2abO75YwpL+SanNnUHJHCOklgt/E0LQ9BivBsW1DU08Xh5BeK9mmTpUZhvRXUm3uInHqPNEt2iZ1VR45rUPFnrAFTrkdIaQX2P7vICyDQ69SsPuzFoS/S/R0kQjpddomdcnHr8kOFeF44cOdUGLXSe2TuqRkcqfIDAmTMjtCyN7NMjm2vR+EpDCoLglmnOOb/w31dLEI6VUyJXVJVR4ZXp3a2JVVtqQuSWIM/XwyWBGNHQkhpBLt+rQF0SYDqlsCYwxMAr5avweC0wDshJRCrqQuyaNTr9iyicR5zqQuiTEGTaHEjhCyd/v6/SAEF5AV+3KhumU074rju62RHi4ZIXs/o4CkrlhFj2O3ZcsWvPXWW9i6dSsikQgGDRqEww8/HFOmTIHL5epygSqZoigIxwX6++SChjShG3aEkL1ZrNlAw6ZmKG3uFsgqQzws8PW/gxgwytuDpSNk78Y5EIpZ0FWpZEkdUERit3TpUtx///1Yt24dampqUFdXB7fbje+++w6ff/45XC4Xzj33XFx77bUYOXJkSQpXaRRFgVenceoIIX3DNx+GYEQtuAPOpYIxBkVl2P5BEAf/Vw0Unc6HhHRGwuRQSninLqmgxO7www+Hpmm44IIL8N///d8YPnx42ufxeBxr1qzBU089hSOPPBIPP/wwzjjjjJIVslKYplnUc25CCNlbCSGwbX0TAIBJ6Rcd1S0j1myiYVMLho0P9EDpCNn7McbQzyuVNKkDCkzsbr/9dkybNi3r57qu4/jjj8fxxx+P2267DV9++WWpyldRTNPs6SIQQki3SI5dl+kVYpLMAAFs29BEiR0hnaQprCydLAtK7HIlde0NGDAAAwYM6HSBCCGE9Lzk2HWaN/NlQnFJqTHtvP21bi4dIXu/crXDL7rzRNKuXbuwa9cu8Haj8B522GFdLhQhhJCe03bsumx3FFSXhGiTiW/+N4Qxxw/s5hISQrIpOrFbv349Zs+ejU2bNkEIexwjxhiEEGCMwbLoBdGEELI3S45dp3mztyluO6bd6O8N6NAOjxDSM4pO7H7yk59g//33x5/+9CfU1NTQILyEENLLtB+7Lpu2Y9rR0CeEVIaiE7svvvgC//3f/43Ro0eXozyEEEJ6UKax67KhMe0IqTxFj91x4okn4t///nc5ykIIIaSHffNhCImIBcvgiDWbiLeYqWY3Sc5nFoQlsP3fQZhxaoZDSCUo+o7dH//4R8yePRsfffQRDjnkEKiqmvb5jBkzSlY4Qggh3UtWJQTqXIAAuCUQ/jYBbgrIqtPsJh624KpSoHnsS4jmlcEtencsIZWg6MRuzZo1eOedd/Dyyy93+Iw6TxBCyN5t5MR+GDmxHwAguCOG1fd91nEmAfQf6cFRF/TOtwwRsjcrOrG78sorcd555+HGG29ETU1NOcpU0eK7msAKeIOOCYYEZOx4fiPCMEpeDsYseKq2AgB09267bDEDEMU9XWfMhObakzYtEYtDiE6PhEMI6SVa9nDwuAmTCwjFuWPHDYH47iC+W/txD5aOkBJewxiH7voWABCP2jeoIs1RCFGeV+aFoCKB4WCwYCH/3e5iWjoU3cbu22+/xdVXX90nkzpCCCGEkEpWdGJ36qmnYvXq1eUoCyGEEEII6YKin7ftv//+mD9/Pt5++20ceuihHTpP/PznPy9Z4QghhBBCSOE61SvW5/PhjTfewBtvvJH2GWOMEru9lOTSoHhdgCxB5gMRa4yARxOFLcwAtV8VtGofIEuwIjEkdjeBJwprFMAkBm1QAEqVBwBgNkeQaAxCFNjLTlJlaIOqIXtdAOcwmlqQ+K4ZBTRbsJd3qdAHVUNyaRCmhcR3IZjBSGELA1B8bmgDq8A0FSJmIN4YhBWJF7y8Wu2D2s8HpsiwonF738XNgpZlDNAGBqD4PQBjMFtiSDQ2QZg8/8IAmCJBT+47IWCEIjAagxCF7jtdsfe9W4cwLRh7WmA0tRS2MADZo0MfGABzqRAJA4nGEMyWWMHLKwEPtP5+MEUGjyUQ390EHiuwTSsD1H4+qP7kcRct6rhhigw14LHjFo4VVW4mMTBdhTAsCHPv6HBmSQICAjI4GGOQJAuACiDZ9o5D9+yGLMVhcR3xyCAAyDCt6AdFncMASVcBIQquTwDAZAYl4IOkyrAicZgt0cLPJboCbWAAkqaCJwwkvg0VeTz23HmUSQxq/yooHheEEDCaWmA2RwsrOwBJUyB7XBCcw2qJQvAiekkzFLyPSX5FJ3ZbtmwpRznSPPTQQ7jrrrvQ0NCAcePG4fe//z0mTZqUdf5ly5bhxhtvxJdffokxY8bgjjvuwA9/+MPU50IILFy4EH/4wx/Q1NSEY445Bo888gjGjBlT9m2peK2JgVrlTk1Svf2hD6lBZEsD4ruDuReXGXz7D09dHAEA/avgqu2Pls3bYYZyJ0iSrsA3dgQUl/MScX2AH3ptf7R8vA08nvukqFS54dt/GCTFaeCqDwzAaI6g5ZNteU9q2kA/PKOGQGrzOiTX4GrEdwcR3rIj78nGPXwQ3HUD0qbptf0R3bYLsR3f5VyWSQye0XXQ+1W1mVoFV+0AhD/bnjdBklQZvgOG2wl58rsH+OEa0h8tn2zLm1zKHh2+scMhq85pQB8YgFnTDy2fbAM3cl9Q1H4+eEcP7bjv9jQjsnl73uTQVdcf7mGD016E7arpj+g33yK6bXfuhRng3XcI9IGBtMl6bX9EtuxAojGUe3FFhm//YWnHPWoAIxxD+NNteS+m+qAA3CNrIclO4Y1gGC2fbc+dVDPAPXQg9NoBqWXje1oQ3bIj5/5mEoNe1x/agACYJMFsjiK6fRd4NEf9YIA+uBpKwGcn7d+FkPi2Oed2KV4d2qAAmCzDDEXQ0rQHXOKIGwKSyaEIAQ6AWxJUPYTAwC0w9YMhsyBk4wu0fQ+Rx/e1XQyWPs2UR0H4DwNPmIjv3JP3ONUHV0MfXA2mKeCROKLbG/MmHGr/KnhG1kDW7GPbjMQR2bIjb/Kt9vfBO2pI2vnEaIkivPnrvMeENigAzz61afXBPXQgIlt3Ir6zKeeyPX0elVyqfS5ps7y7bgDijUGEv8h9HmQMcI+sgT64XyrWlmEi8kVD3nOY4vfAPXwQFK8bwrKQ+DaE6LZdOc/bTJHgGjIAis8NblpI7G4E4nuyzp/8Hm2AH4wxJJpaYHyXux50F4HyvLmrZD+dduzYgTvvvLPL63n66acxb948LFy4EBs2bMC4ceMwbdo07Nq1K+P87777Ls455xxcdNFFeP/99zFz5kzMnDkTH330UWqeO++8Ew888AAWL16MtWvXwuv1Ytq0aYjFCv+FDQCapvW6HxXaoOr0i1srxhg8o2rTkoZM3CNq0k9GrSRFhm/MUDAld48i7+ihaSeTJMWlwTdmKHId90yR4B2TntQlqVUeePapzfndskeHd9/0pC5JHxSAq7Z/zuW1AVUdkjrAPtF5RgyGEui4X9pyDR3YLqmzSTKDd8xQSHru312efYdkjI+sKfDuPyznuzuZxODdf1haUpekeF3w7Dsk53dLutIhqUvS+1XBNWxQzuWVgAee4elJXZK7bgC0AR33S1uu2v4dkjoAkCQG775DIHs6HlNtefatzXjcq14XvPsNzVt2775D0pI6AFADXnj3q8u5rHv4ILiHDkxbVu/ng2/siIz7IlXe0UPhGToIikuDrCnQB1TBf9A+9h2pTBjgHTMM3n1qoffzQe9fBd/oofCMHJz1O9T+Vag6eB+4aux96913CMThHrCjWtBvQjP2P6wJ+44LYt9xQYyZsAcjDgxBkhPQzfehtEvqsmKAyrdA45vhGlyNqoP3yVlP3MMGwtt6HpJVBWrAi6oDR+RcRq32oWrM0FRSBwCKR4dv7AhIriz7C3ZS6xs9tMP5RPW54d1/eM5zkeJzwTuqtkN9YIzBu08tlAzHWtp29uB5FAzw7T8s4/L6wABcQwfmLvvIwXDV9Es7fmVVgW//oTmvH0qVG1Vjh0P1ucGYva2umn7wHTAia3mZIqHq4H3grhsA1e+B3r8KVWOG2k8sstBr+8N/4Ai4BldDHxRA1Zih8IzKfW3oLgYkGGVI7opO7H7yk59k/DvvvPPwm9/8pssFuueee3DxxRfjwgsvxEEHHYTFixfD4/Hgz3/+c8b577//fvzgBz/Ar371Kxx44IH4zW9+gyOOOAIPPvggAPtu3X333YcbbrgBp5xyCg477DD8v//3//DNN99g+fLlRZVNkiSEmYbCHnLtHfTB1Vk/Y4xBr+mX/XNFgj6o48U1SVJkaAP9WT9XqtxQfdlPeIrXlXqskIk2wA9ZzX7C0wb4wXJ8rtf0y/muY70md2Kn50n8cn3OWO59L0kM+uDs+15ya/YjmywUXYWS6/NqH5RsSQEArdoHyZ39c31wv4xJnfN5dc6LSb6kOe++z/E5Y3n2na5mTKiTVL8HikfP+rl7SMdkPkmr9mVdlily1u1WPDrU/pnLpPg90Pt1jKWkyHAPzVwWNeDLuIyrtj8kd8cLOGOAd5/atPrAhcBn2hdwn9iCqd/7BuNO2IXDT9iF8a1/dfuFcz5BYwwdktXUP0MbAc4hSSzrDzBJleHK+MOJwT08e4LqGpY5EZFk+05PNnpt/6znA9Xryph4pZbNdy4ZkuN47eHzqBrwQXFnP95dNf1yJFpy1rrGGIOeIX5J7mGDMu4ztcoNNcOxC9gxypSAqv39QIbzkaTKcA/v+CPTNbg6b7LdHRgEmqGVPLkr+lHsnj3ptzwty8IXX3yBTZs24eGHH+5SYRKJBNavX4/58+enpkmShPr6eqxZsybjMmvWrMG8efPSpk2bNi2VtG3ZsgUNDQ2or69PfR4IBDB58mSsWbMGZ599dsb1xuNxxOPOI4JQKATTSMBiXoSgwY9YpuPIISQAAkJOQLAC26oVQTAOS7IfDZjJ298SR8GNo2DftRGKgNH+EYMZByR7PVxnqe9pT3ErMK3c2yZc2ZeX3RIMM/djGOGWYLVkXl7o+ZeHW4KVpYxCY7mXlwGu8qyPBbiKnMsLDVm3XdJVWDBhmdnb/nA9x/KF7russStk38mw4pnvanM9z76DHR+eyPwISGi59x3Pse+YIoHLFniOtmkix3EreVz5y+6RYcUyL8/zHDfCq8CKdXx0pni1nPVFeGRYezp+p+KVs36fcGWOsepTsi7DfCqsePqjTNmtwWLpx+MeYw9MM4GBJociJFgAStoaMLgJqBoNKADXRIdH2FKu/aUzWLLVMatkuet1tv0F2MdMzrh6ZFjNnVw2x/Hc0+fRQs4F2eqy4lVzH9M5zmHcleN7PQqspo7LMU+GusATALfAVSVVRkviEMKC5HXB4glYme7G+BRY4TbfwUSba6k9nSuJoseGLZQQAoplgQMIQkMAcagsx22jIopRdGL37LPPZpx+2223Yfny5fjZz35W7CpTGhsbYVlWhzHyampq8PHHmQfCbGhoyDh/Q0ND6vPktGzzZLJo0SLcfPPNadNu/vUV8KnNiHIPgkyGX27O+viECxmc6zD7b4ehhLN+T+cJcMW+6EZbM0yuhZH7nntHsW+/BOPtLt6xL5E8irhpwfJneWQtRRBpzH1C4HEDlj9zxY+IGFrytIUyeRzCnzn5iSYSkBtzt8UylSiEP3NlibV8CSmWvQoIAKY3e+zi332e81e6sDhMf5a2QIwh1phhRP82uGHC8me5OEsxhBtzH1eWmQD3Z06somYCzY252wCaUgzCn/mkHItsg2TkPn0Y7gjgypwUx5u2gEnZz1SCC5j+7O2K4vn2nZlj38n5952J7Nse3/N5zrJnW5ZJUUQas7cNsxKZ4xW14mhubMq4TLb6GTUSkBu/Lbx8UgTRxvR6GuNx1Fgu6IJjF7Lf0em0liAQ/8yuZ56O8WByFOEs+0sIAbMq8/ERb9yctV7mOp/FQl9CCme/w2/xOHiWc1EsmHtZbnFY2c4FPX0e5XE0N+Zuo5atLtvHdPYmTdzKvr/j336WNU6WkbkuxFq+ghRvf97hgBWDpVipu3ZciwJgrcdQ5rpuWe3jKdpdSwHLsxXFXlMLZZpe4Luh8DIDEe5BUCiokpuhZvtBW8RAySV7vcA555yDW2+9tVSr63Hz589PuxMYCoWw9E+3Q5EMVEkhhMwqBC0f/EooY3JncBWGkMFlA1wu/R07QADJXxVScoqFYg9CkYiBMbP9xNR6uGlCZDnQAABGrOPzlja4ZUBIWX6FcAvCzF1ei8ez/lLhpgCXc9yhFAIWjBzLxyHluAchLA6eY9tFPAam5EhOTCv38olozgSBG/n2HZAr3paVSN157fgZBzfz7DueyL7vjBgklv1RreAcnJlZiycSsZzthvLuu3gUTM6x73Idt9yCMJDjuM297bnLLlr3e6bPLLtqZYl5tnhZltUaq47l5Ubm7bRMC9zkHZcR2cvXfp8KYUHmEiBYGd6dA0AwwIxDmFnqmci+v3IdHyIezRqfbPvL/iwGKcfbCiwz17koBinH5ZSbVsWeRy2Tg+foNJy7LlsQRoZn7smi5aiHueJkmZnrQubzjgBMAxwitY2pa6GwwBPoeJ7NWA9Eu2spWq/d5UnsuNAAJgDGUaUEETL9CFk++FkzFKljQIQovBwlS+z+/e9/4/DDD+/SOgYOHAhZlrFz58606Tt37kRtbeZ2GLW1tTnnT/53586dGDJkSNo848ePz1oWXdeh6+m/Uu2nnAwq4/DLLWi2qtBsBjrcuTO4jLDpgyqZkCwVEsvdkLtzBCRmH3zJ5ITz4l99whICirvdcooGgEFYHIibEDnuAbOEgOzN/GteJEwIA2C5ljcBOUObCQCwYglIVo77z9x+YTnTMh/GVjgOief47riArCqZEwQBmNFo7uUNDllzgWVanAtYcRNSjm2XEgKyL/O2C9OCMIzc+y6BrJ0EeNxoPdlnu6UMSArL2vjeiuTed+CArMnZT8wtUecXR8ayC8iamrGDh+CAlYhAyvEIhCUEFJ+WcfOEyYG4kee4BWRvluMu2vnjJt8xh7iA4tU6XGStWAJSjnixuIDs0dM+5nEDIiGyHiMsLiC5tdQ+FhbPuW0sxiF71FS7VJkLREQEcUnAa/HSD1KiVUEkzNz1JC4ge9OPE2FaOZfJFh+RMPPuL1nJfEznOxexOLIeExV/HgXATAY5U8eSQs6DcQ7Z6+74G8K0cm53tv1tReKQrCx1gQNMAmTdqfvCNMFNgba/8QWXU0/pWZxDdqup78lVD6TWFvQ8+ZmlZS5HCUiWCggGxiRIEAjILQhZVWg2/R3u3AkBtJi5O5S1VXRi1749G2AnSc899xymT5+e9vk999xT1Lo1TcOECROwatUqzJw5EwDAOceqVaswZ86cjMtMmTIFq1atwty5c1PTVq5ciSlTpgAARo0ahdraWqxatSqVyIVCIaxduxaXXXZZUeXjHPbFSgJUJlAlh9Fs+RAy/fDLLWAMMISMZssHGRwqLDBTA0PhYygVTkBubbsns9Z2Ba2/rovBuACLJSC7NOekJGvgcQtmS56LFGA3uhEmFJ/bqaBCwIrGYYZNyPluH0c4GOeQfW7nAsQFrHAULMohI/fyImxCEordYL01uxamBbMlap8s8yyPkAGpyp12UuSGCbM52nqhzbG8BaA5AbnKDUlzToo8bsBsjhS275oNyFWetJ54ViQOq5B9ZwlAWPa+T8aOC5iRGBCx8m97xAITChSPK/UIQ1jc3nfxAvZdswnJp0Bu0/Camxas5giYwQpYPgHZ50lLLnnCsPd9ngsRLEA0G1Cq3JDa9Oy1YglYzXFIBe279ONWmBbMcKywbQ8ZkLwuSJoCSBKEacIKx8GMPMtagAjFIbl1SLJkH+uxBJiZ51i3AJGIg2kKmMTsoVHMPDFuXQays30Sch/TotkAJBNgDIJzuBUdTZ4oQgAGWRnOYxnauHX4LMM0zj0wg3EIS+T88QMLQDABtG63/YPHyr0MAIQSYC4NkqpAoDUJjpsFHdPMI0PWVSeukThYIv+5CCEDks9ln0sYAwRgxROw9oLzKCIWGJche12pcwlPGDBbYgWdB4WVgOzRwVSlddxAAyJq5PxxBgAiZIBpIm05ZuWpQxEOEY2DKTKEEIBlQmn35IZzybnDZQHCSB7XaD3mMmwTE0h2VresZJ3RUa7EjpkaACnVHp8B8EthhCwfmi0/qtAClVkQAghZPlhF3LgpOrF7//33M06fOHEidu3alRqWJFfbo1zmzZuH2bNn48gjj8SkSZNw3333IRwO48ILLwQAzJo1C0OHDsWiRYsAAFdddRWmTp2Ku+++G9OnT8dTTz2FdevW4dFHH02VY+7cubj11lsxZswYjBo1CjfeeCPq6upSyWNnqcxCldxiJ3eWDx4phmbuhQwLHjkKA9kfVVUULuyxpBgDGMBNDsELjx9PmEh81wwmM/vnlGUV04fDvhjHE6nb5YLznOMmpRGAFY7BisTAZBkQwv6FXOjiQsAMRWA1RwFZAjgvamBNYXEYTWH7ZCpJgMXtk02BuGGBp+27IpePG0jEjdTJuOh9F4nDisadfV/svmuOwmqJ2ftOZO9oknF5S8AIhu1zRWf2feuAyJ3e98njtvW4L+q7hbAHru0E+4IbK7ojghACIs94ZB0XQtEDINv7wd4XuqGgOuJGsyuG3TLQ3zLTLodCSDANLyTJhKwUtj8s0w3T8KDQA7Uz2y0EYEUTsAodZL3Nd1nhGKxwcUNhJZc1m6P2DyPG7GOxiPNgj55Hk8vHEq3XblHUdwuLFzWYcVs8YQKJ4m5+CCEgDHuZQlONogZM7iGMAX65pTW586FKCiPCXbAgwycX3la/6MSu3O+JPeuss7B7924sWLAADQ0NGD9+PFasWJHq/PDVV19BavO8/Oijj8aTTz6JG264Addffz3GjBmD5cuX45BDDknNc8011yAcDuOSSy5BU1MTjj32WKxYsQIuV+4x2gqRTO5CZhVClg8ys+CXW2BBLqpSVYTkiaiT5bYv6p3sNyeKSyoyLt+FEfyFEEBXlucC4F1Yviv7DiXYd11Yvsv7rqf3fZEX4L5GNxTopg+GbKGF2U8iVM4ASOCW/eOVWzpMwwNZiYExC0LIsEz7/NpxWnnugFQMgaJ+YHRYvCfPo+ha2UnXJZO7oGXnFADgV5pRTKbNBEWxIKFQCA/+7nr00wG1XSNWQ8gItT7/lpmFgNwMCzISQsVU/wZUKYW/nqpwAopqj54tt/aOtSy9+EexTECS03tkcUsvqqEmIYQQ0hNKdg1jAnLrepI/SkyjCuX6IdJsevBG6AhozIDC0hN5IYCgVQWr9RF8MrG7/IaHEAwG4fdnH9cQKHBklB/84Af45z//mb+gzc2444478NBDDxWy2l4h2aZOYSb8cgs4JIQsX1G3sQkhhBBCkm3qOCT45RYozESz5YNZxHh6BT2KPeOMM3DaaachEAjgRz/6EY488kjU1dXB5XJhz5492LhxI95++2289NJLmD59Ou66665Ob9TexOkoYaU6T1Qxu81di+WBLpVlkABCCCGE9DKpjhKQUSXbnSf8zG5z12J5C15PQYndRRddhPPOOw/Lli3D008/jUcffRTBYBCA3TnhoIMOwrRp0/Dee+/hwAMP7NwW7QUkCZB0CZLCYFgSmuNeKIoFvysKidm3THUAkhXBnpgXpgyodW5oehlu5QoBGHbimByxXVI684oUAdFuPDOmuMB6ezsYQgghvUDprmHJ9UiK/ShWU72F984okhp3QYpKkGQJkgxwATTHPLBkGQE9DHvUITuvCIgo9kRKnNgB9rhu5513Hs477zwAQDAYRDQaxYABA6Cqe0nvzy5iDBCCI2FKCMU9kCUTfr31fYltjitF4vCpEcRNHZYZhyV3rrdQTq3dvO3/b23zZxkovj2AcJZPssxOrIcQQgjpbqW6hrVZT/LayqJlS+wsk0EIDgEBzjmCcS8sLsGvt0CR0ntEMwA+taXgdXd6gOJAIIBAIPuLi3sjywIs6IgkXFBlgYDbhMQyDyqpQ4JgDLpnEFyuMrx5QnAg1jows9Ha8FL1ofiDmQNGu0qhelHUi+kIIYSQHlGqa5hw1qPavVHhqkHGEehLIC5rkGQVjEloTmjggqGfJw5VVpApNZOLGK6Frt5FEGBoTuhQJIGAO4YMg+ankRj1oCCEEEJIR0IAzXENJmeodsehyl0bqiaJErsiCKZCYYUldYQQQggh2RiWVPKkDqDErkgCPp2SOkIIIYR0jQCD35UoaVIHUGJXFEkYtMMIIYQQ0mWqzKFIpW+yVXSeMnv2bLz55pslLwghhBBCSF9Rrnb4RfeKDQaDqK+vx8iRI3HhhRdi9uzZGDp0aDnKVnkYICAKepeeEPYLsoVlgFtl6hWbfD9msjzcQqd6xbbfHm6BXp5JCCGk8pXqGibaXUsBWImy9YoVFoMQwh7ypP1wLZlLV7CiE7vly5dj9+7deOKJJ/D4449j4cKFqK+vx0UXXYRTTjmlV49pJ0uA4AZ4AS9ZFlyG4EA82og4L8+7YmG2jo/HW8fc4WF0auye5PJJPNKJ9RBCCCHdrVTXMNHuWgqA806spzDxuAeC7wPBEuCw8s4veIlfKdbeoEGDMG/ePMybNw8bNmzAY489hvPPPx8+nw/nnXceLr/8cowZM6Yzq65oFgeYpEKS88/LIIEJBbp7IHRXPP8CxRIciDfa/9/65gkoXnTqjp0ZTp+keEDNLwkhhFS+Ul3DBGC2DgKstL7lQR9Ytjt2uqSDSQqYBEgFdJ4o5qltpwcoBoAdO3Zg5cqVWLlyJWRZxg9/+EN8+OGHOOigg3DnnXfi6quv7srqK48AGBhYASNRMyaBMQYmq5DkMjzWFBypDDNZHklG8Ykd6ziytiSDEjtCCCGVr1TXMNHuWgpA1sqW2DFZtXMEJhX0cgtWxMPYoktsGAb++7//GyeffDJGjhyJZcuWYe7cufjmm2/w+OOP49VXX8Xf/vY33HLLLcWumhBCCCGEdEHRd+yGDBkCzjnOOecc/Otf/8L48eM7zHPCCSegurq6BMUjhBBCCCGFKjqxu/fee3HGGWfA5XJlnae6uhpbtmzpUsEIIYQQQkhxik7szj///HKUgxBCCCGEdBG1kCeEEEII6SW61Cu2r5FlgHMDlpW/dwrnMrilIB7ZjZhVhnHshHC6eHOj9b8t6NzYPUb6pE6Nh0cIIYR0t1Jdw0S7aykAS3TscVsi8bgH3BoKzkxYBYxjx3nh5aDErghCJIcxyZ/Y2cOiSJAVHbJSjuFOBCBax8cTrTde5c4MDi0A0a5SyAoosSOEEFL5SngNS65Hbk2NFHfZEjvZ0u18ojVXyKeQYdaSKLErAucAYzIkqYBx7IQEJmQomh+qnr2jSacJDohY6/+3JniKjs69UqzdK88UHfSUnhBCSOUr1TWszc0SpfWarQfKNo6dIjQwSbYHKJYKGKC4iBGK6epNCCGEENLNCnjtfKdQYlcEwQp4lxghhBBCSB6GJZUluaPErggCCqJGZ9qxEUIIIYQ4BBia4xp4iZM7SuyKwGAiYqoIJyi5I4QQQkjnqTKHyRmCUVdJk7uKSuz+/ve/46STTsKAAQPAGMMHH3xQ0HLLli3D2LFj4XK5cOihh+Kll15K+1wIgQULFmDIkCFwu92or6/H5s2biy4fExY8ioFworDkrlzPzwkhhBCyd5OYgN+VKHlyV1G9YsPhMI499liceeaZuPjiiwta5t1338U555yDRYsW4eSTT8aTTz6JmTNnYsOGDTjkkEMAAHfeeSceeOABPP744xg1ahRuvPFGTJs2DRs3bsz5arT2JAlwKTHI3EJL3AXBTXi0RMZ5LS4hYckwEyEYLFbwdxRMCMBsXa/VOgYOi3dmRc7ySSwOGu6EEEJI5SvhNSx1LW29tsaDZRvuxEy4ILgFWTbg1xMIxr1oiqjwuyLINPCGEIWXgwlRefeVvvzyS4waNQrvv/8+xo8fn3Pes846C+FwGC+88EJq2lFHHYXx48dj8eLFEEKgrq4Ov/jFL/DLX/4SABAMBlFTU4MlS5bg7LPPLqhMoVAIj9x7PQIeQFUEIoaOiOGCR43Bo6YnVEIAe2I+SABO2u89+PVyD1DcehBKnRnuRAC8XULYqfUQQggh3a1U17A265Fab/go3rIldqG4B69/OR6aYkKRLBiWjFDcC1myENDDHb42FHNh3vX3IBgMwu/351x3Rd2x64w1a9Zg3rx5adOmTZuG5cuXAwC2bNmChoYG1NfXpz4PBAKYPHky1qxZkzWxi8fjiMedgyUUCsGyAElSIcsMVTIgSRbCCQ8kSYVXswc25AIIRV3ggsGlWdA9g+ByZb6r1yWCA7Gd9v8brb8yVB86NY6d0W4MHdWLCntKTwghhGRQqmuYcNaj+uz/umrKNo5dXNYgySokSYIsc8gyIMsGmqI6mhMBBNyx1J27cEJFzCo8Xdvrr94NDQ2oqalJm1ZTU4OGhobU58lp2ebJZNGiRQgEAqm/4cOHd5jHqxnwak6bOy6AYNQFkzP4XQlIRQwoSAghhJC+S5U5qt3xtDZ3yfzCoxj5V9CqxxK7pUuXwufzpf7eeuutnipKRvPnz0cwGEz9bdu2LeN8bZO7xrAHJmeodsehSJTUEUIIIaRwbZO7xrAH4YT9RNCtFp7Y9dij2BkzZmDy5Mmpfw8dOrRT66mtrcXOnTvTpu3cuRO1tbWpz5PThgwZkjZPrvZ7uq5D1/WCyuBWjVQvWVXmUGUOw9rrb4YSQgghpJsl84iEZb8Uwa0aMM3Cl++x7KOqqgqjR49O/bnd7k6tZ8qUKVi1alXatJUrV2LKlCkAgFGjRqG2tjZtnlAohLVr16bm6Yrk41cGAU22kLBkGueOEEIIIZ0STqhIWDI02QKDsB/LFrF8RXWe+O677/DVV1/hm2++AQB88sknAOy7bsk7b7NmzcLQoUOxaNEiAMBVV12FqVOn4u6778b06dPx1FNPYd26dXj00UcBAIwxzJ07F7feeivGjBmTGu6krq4OM2fO7EQpnUesbdvUVbtjUGXe+jxcg6UAMhOAsABRRKpdcDE4kAq1cKYV24OHW2i7TalpdMOREEJIpSvVNUyINutpvbYKE2W7GAq5zXc65U+2qfNqCXg1A4YloSnqQku88KHZKiqxe/7553HhhRem/p3ssbpw4ULcdNNNAICvvvoKkuTs6KOPPhpPPvkkbrjhBlx//fUYM2YMli9fnhrDDgCuueYahMNhXHLJJWhqasKxxx6LFStWFDWGHQCAAYIbEJawk7q4DxYHAnoICiwIC/DIcQhFR3PCDY+SgIjuBudlGO4EAjBb7P+14qlJnVqP1a7XrhCg4U4IIYRUvhJew1LX0pD9X847t54CiLgHgo+wcwrYI1uEDR1hQ4FXDdu5hGUnaQEtge9ivoLXXZHj2FWi1Dh2bguKZCGY8MMSMvxaM1Sp4x255oQXJldw0sjX4dfCZSiRAHhrY0qRHFRR7tx6RLubvEwCJXaEEEIqXwmvYe2vpZLaufUUIJTw4o2vj4YmJ6BIFiKGGxHTDY8ShUeNdpg/Yuj4+fwH+8Y4dt3J4gAgIWRUgQsZ1XoLVBnItBs9momoIUNXPdC1cpSm7R271oNR7kw4M/zakRVQYkcIIaTylfAa1v5aqng7t54C6MIDxmQwSUHUciFiueHVovCqBjLlFJpceCs7SuyKIYAWwwsBGdV6GKqc/TYtA4MicTBJhiR15k5aAYVJtqdLFqGzI2S3X4yxDBMJIYSQClSqa1j7a6kkd249hXyVJIMxIGboiFkafGoMXjWR9ftYEdd3SuyKwJkKUygY4I1DlWUAuRI2CeAyoPcHXN7SF0ZwOI3qWv+r+DrZeaId2dt6QBNCCCEVrFTXsLadJ9Qq+7/6wLK9eQLQYQoNUUtBlZ6AVxMAcjze44W3mqPErigMVXocqlxIw0xmJ1lMBlg5djOH01sneeeuE+0KJABWu2UkGdQtlhBCSMUr1TWMtb2uty7LlPIldkyGySV4VBNezUQp7wzS1bsITBhQpWJGkyGEEEII6UiRONxq6YdDo8SuCKxz44kQQgghhKRR5PLkFJTYEUIIIYT0EtTGrgiyDHBuwLLyZ9mcy+CWgnhkN2JWGQYoFgIwW8fHS45nx1tQ/HP6NuPhJfFwJ9ZDCCGEdLdSXcNEu2spAEsU3yGxQPG4B9waCs5MWMjQAaQdzqlXbFkIATAmgbH8iR0DA2MSZEWHrJThdqsQgEiOkt1641XuzDtqBSDaVQoax44QQsheoYTXsOR6UuPYucuW2MmWbucTrblCPjTcSZlwDjAmQ5Ly72AmJDAhQ9H8UPUiX11WCMEBEWv9/9YET9FR/MHMAdFucEdFBz2lJ4QQUvlKdQ1rc7NEab1m64Gy9YpVhGaPZScBUgGdMgu5oZREV29CCCGEkF6CEjtCCCGEkF6CEjtCCCGEkF6CEjtCCCGEkF6COk/0Kp3ofSsyLCNE6+tVCCGEkApWsmtY77nmUWJXBEkChLDAC3gZr+ASBAfMRAgGi5W+MEIAZut6rdYxcKymzqwI4O1eaWKV9r11hBBCSHmU4RqWvGbHg2Ub7sRMuCC4BcEMcJa/V6wQNNxJWTAGCMEhMv1CaEeAQQgOy4zDkqOlL4wQrQcv7KFPurSuDOvuRb9eCCGE9GKlvoYlr60sWrbEzjLtHEFAQBRwDafErkwsC5AkFbKcfwdzSJBkGbpnEFyuRN75iyY4ENvZ+g9fF1bEAaM5fZJaBWp+SQghpPKV4RrmHtKlEhUiLmuQZBWSJEGW8yd2VgFPCpPo6k0IIYQQ0kvQHbsiiEpqd8YkwFXT9fWIDG0R9IEAo0ODEEJIhduLr2GmxaDJpV9v5W95BRFMhcEZtEppf1aSV51I6FApmFS216gQQgghpbP3XsNMLiFqKFDl0jbXqvwtrygCzQkdhkW7jRBCCCGdp0gcEUNBOKGWdL2UoRRBEgYUJtAUpeSOEEIIIZ2nyAIe1UQ4oZY0uaNHsUUQjMGlxBGzXPguoqNKj0ORMvdmMTkQNySEIgzCqqC2ee0JBiT09GkWK1sXb0IIIaRk9tJrWHOcwbQAVTahyxyhmArTEnCrZsb5DU7DnZSFJfkRjNk71xIyYqYCmXFIGUa4trgEAYY3Ph8OTbbKUh6TS7CEDJlZGRNMLgCDK5CYgCJZWbp+iI7j4LEMbRayyPcdAoDJZXDBoEompDLUtUK+I9++KoXSxKNrKB6FfwfFw0HxsFE8HHtPPLp2DeupeFiCoSWhgzEOBsASEppiCkJxATnDgMXW3jiOnWEYuOGGG/DSSy/hiy++QCAQQH19PW6//XbU1dXlXPahhx7CXXfdhYaGBowbNw6///3vMWnSpNTnsVgMv/jFL/DUU08hHo9j2rRpePjhh1FTU1yvUiGY3SaTCUjCRIIrsIQMBhOS5CR3piWDQwKDgEcXKGDYu07RwRE1JEQMHR7JSMv0TS4hEtchSwJeLZb7x0vGSlE4lXM0x3VwCFS1+S4hgOaECxZnrXc3i1ptUYSw0JxwIWapHe6kRg0FMUuFRzXgVstzkgRKGI8uonjYKB4OioeD4mHrVfHo4jWsJ+JhCYZwQtjt4ZiAwiw7dxASIAClzQ0hzpk9vUAVk9hFIhFs2LABN954I8aNG4c9e/bgqquuwowZM7Bu3bqsyz399NOYN28eFi9ejMmTJ+O+++7DtGnT8Mknn2Dw4MEAgKuvvhovvvgili1bhkAggDlz5uDUU0/FO++8U3Q5GQC5NaXXmYWEJcMUClRYUCSBhCmDg0FmApIkoEiAWobuzEmaYkKRGcIJDYrM4NUMGJaEcEKHJgsE3LH8vzqtdgdrkeXVwKHKcTRFdUQMFwJu+3UswagLQjD098ShFjAAY1epSgzBqAvhhI5qt/2d4YSKuKXC7zLg1TLf4i6lksSjq2WgeKRQPBwUj9YyUDxSek08ungNA7o/HoYFMImBMaT2sSxxJEwGS0iwOIOmWDA5gylkFPMmDSYKeT9WD3nvvfcwadIkbN26FSNGjMg4z+TJkzFx4kQ8+OCDAADOOYYPH44rr7wS1113HYLBIAYNGoQnn3wSp59+OgDg448/xoEHHog1a9bgqKOOKqgsoVAI995zJzQZkNscNJwDCUuGAIPEBLiwkzpF5uCCYZA30i0niWTjS022YFgSFKnQSikAq11Xa1lDZ96zZ1gSmqL2rzwAsDhLVZDuwoV9QjA5gypzJCwZXs2AVzO6rQxAV+JROhQPB8XDRvFwUDwce3c8SncN6854GJaE3WEPJCY6NOdKmDIs4eQUDAIys3DDwtsQDAbh9/tzrruiu3YGg0EwxlBdXZ3x80QigfXr16O+vj41TZIk1NfXY82aNQCA9evXwzCMtHnGjh2LESNGpObJJB6PIxQKpf1lIklItaHjrYHQlPK0qcvFqxnQZCuVZHZ3pQQAVeYIuOIwuQSTSwi4uvckCdi/fALuGAQYEpYMTba6/SQJUDySKB4OioeD4mGjeDgoHg5NsVJJHWDnGMXEo2ITu1gshmuvvRbnnHNO1uy0sbERlmV1aCtXU1ODhoYGAEBDQwM0TeuQHLadJ5NFixYhEAik/oYPH551XpM7t/C4YDCL6L1SKoYlpQ3BEjVKOy5OIbgAwgkt9e9wQkMRr7crmbbb3n6/dBeKh4PiYaN4OCgeDoqHjeLhMDlLJXX2v4t7ttxjid3SpUvh8/lSf2+99VbqM8MwcOaZZ0IIgUceeaRHyjd//nwEg8HU37Zt2zLOl7xlKjMBXTbBIGBYMng3/tBI3sJWJIGB3gi8mlHycXHyaXsLu587hn7uGEzOEIy6urVyJrfbqxkY6I1Akbp/3EGKh4PiYaN4OCgeDoqHjeLhMDmDYclgsHMKmQlYgsHge0HniRkzZmDy5Mmpfw8dOhSAk9Rt3boVr732Ws5nyQMHDoQsy9i5c2fa9J07d6K2thYAUFtbi0QigaamprS7dm3nyUTXdei6nvVzID2pSz5+1WDfzja4DCVDl+VSa1spk7fPk7eOkxWz3LeS21bKtm0iqt12g9hg1NUtt/bbVsrkNgfcdoPYpqjeLe1nKB4OioeN4uGgeDgoHjaKh6NtUqfJlt3US7Jac429ILGrqqpCVVVV2rRkUrd582asXr0aAwYMyLkOTdMwYcIErFq1CjNnzgRgd55YtWoV5syZAwCYMGECVFXFqlWrcNpppwEAPvnkE3z11VeYMmVKUWVmDBCCQwjAsJJJnQVVtpDsgsIYoEkcca7CEgwJw4SE8lQMw5IRinshSwaqtDAEB5Kt+1xyHFzR0RJ3gXMDHjWeeSVCAMLqOK3A/u1CAMG4FxYX8OstkGDBal2dBKBKSyAU92JPREFAD5et23zE0BExZHjUCFxyPFUGAKjS4gjGvdgTUeHXw1DLNK5gSeLRRRQPB8XDQfGwUTwcvSYeXbyGAT0TD27JgHABEBAQsDiDwVuTOslozTfseVWZg5uFP46tmOFODMPA6aefjg0bNuCFF16AZVmpNnD9+/eHptnP3k888UT8+Mc/TiVu8+bNw+zZs3HkkUdi0qRJuO+++xAOh3HhhRcCAAKBAC666CLMmzcP/fv3h9/vx5VXXokpU6YU3CM2Rdjdkw3LGazQzuDTDyAmASpMmFxBi+GFIreUPNM3LAmhhBeKZMHvikLKMG6PVzPAwBA23GBg8GjZXjTcfgwguaAORVwAobgHlpARcIWhygLtn+5rikCARRCMexGK++B3RUr+yyuS0BAxXPCqMXg0o0MZGAMCrihCMQ9CCR8CerjC49E5FA8HxcNB8bBRPBy9Lx6du4YBPRcPJiUHUU4mdQoYAE02wTIkpWoRAyNXTGK3fft2PP/88wCA8ePHp322evVqHH/88QCAzz//HI2NjanPzjrrLOzevRsLFixAQ0MDxo8fjxUrVqR1qLj33nshSRJOO+20tAGKiyUAGFyGgNT6+FUg29EjSQyyEJAlIBT3lfQ2rmFJCMV1qJJAwG1AYtnbQvhcAkwyEU64wSQlw211kWEMIAX5agUXQHPMBUsw9HPHocoysg0epEtAPymBpqiO5nhVSW+rhxMqIqYKn27AqwkAmfeFBKDaYyAYlSs8Hp1D8XBQPBwUDxvFw9H74tG5axjQs/FgQgKYPfBw6k6dbEEqwcFW0ePYVRJ7HLvfAUxKa1OXDRd2r5aBngjCCa1D+4HOytQmohCZ2g/Yih8DKFubiHKVPZvs25RdZ8ueTenjUTyKh4Pi4aB42Cgejt4Zj86NY9fT8TAsCbuaPTCFlNamLhvLAq5f0AvGsatEDLyocepY67g4pehd05UTTfLg7Wpvp64c2KrMUe2Ol6S3U2dPNBLFI4Xi4aB42CgeDoqHg+JhK2U8TIvBah18OF9SVyxK7IpUzHPupFIcDKX49djVylmKXyulqJxd/fVI8XBQPBwUDxvFw0HxcFA8bKWKRyhuj7qhSrykSR1AiV2ROn/btSsHQykfCXS2cpbyFnRXKmepHglQPBwUDwfFw0bxcFA8HBQPWyniIUsCMhPI0G+lyyix60adORhK3c4DKL5ylrqdB9C5ylnKdh4AxaMtioeD4mGjeDgoHg6Kh62r8fDr8bIkdUAF9YrdG9h1QqCg7iZCAEKCECY4T2+TV6UbCMU82BPVcnadNiwJwbgLCjNRpUcAgZKNwu1WDAiuoSXuglBUeNSY86FlptqdcgGEYh6YAgjoLZAZL9lbNWQG+HUDwbgXTRE159ACkYSGsKHAq0bhVhIlfbNHxcWDm1mHFqB4OCgeDoqHjeLh6DPxiHnRFPPArzc78WhzDQMqMx5cyK0D1XGUugcrJXbFYEDhnYjt8WkE5xDt3kDBAPj1FgTjXgRjnoyDHtqDR3ogSyb8etheW4mj71ZjEIIjbLghhGiT3FkAWJvBIyX49RYoklXyMigSh19rQSjuRTDmzjgIpT14pA6PGoVbjZe8DBUVDwiEDRcERIdBQSkeDoqHg+Jho3g4+lQ89GY7HvEqBLRQazzsaxhQwfHgdo5gy1+oYspNiV0RhLAHFSxkQGsBBoBBkjXIWTL4frKJYFRBc6Iq7Ra1YUloTuhQZYGA24TEcr/arCuq3AISiyNseCFJMrxqHJA1cMEQirrABUM/TxyqrKBch4ssA7Js2OMUJQJpjwzCCRXR1DhDAFC+fVER8ZABSbIQTnggSWrqkQEXoHhQPCgeFI8UiodNlgVkRNAU96LZCCCghyEp9nAnlRwPDsl+mwETYCx/1lbMW1CojV0PyvSMvhxtIvLxqnF41RjChgthQy9Lm4h8MrWZKHWbiHwqJh7t2rBQPCgeFA8HxcNG8XCosoVqPQyTywjGvX06HgDdsetxyYMhGHVhT9QFwO7+3J0HAWAndwDs5M60B0zsrkqZlDxZNkV1NIY9drm6qVImVUw8NOdF3OGESvGgeFA82qB42CgejmRy1xT3ojGspcrVF+NBd+wqgMQAb5vGp14t0a0HQZJbcdpIqDLv1kqZ7XvdavdVyqSKiUebbad4UDwyfS/Fw0bxoHjY32tBlc2MZeoulRAPSuwqgGFJCMZ0KBKHInEEY10b0bozeGtDV3sUbBMJS+7SCOOdFU6oSFgyNNkCg+jyCOOdUTHxiLpSo5JTPCgeAMUjieLhoHg4woaOhKVCk80+HQ9K7HpY22fw1e4Yqkv0upJiJJM6k8uo1sOodsdL8vqYYrVtE1Htjpfs9THFqJh4tGmjQvGgeAAUjySKh4Pi4QgbOsKGC1411qfjAVAbu04odBy71j9wCJFjXJuYDlni8LuiqWF3/K4IgjE3mqI6Aq5oWW9pcyFau6TLCOgtUGQLQjB41DiE4GiJaxCCl72dgn0SUODV4vCoBoSwu7IHXDxtX5TzlnZlxAMIxtywOEPAFYUicQgBigfFg+IBikdbFI8kgbChtSZ10dbvVu0OC5UeD2EnCqLEI9lRYlcElhzHrqDMjgGQwK0EuLA6fGpwGaG4DzJLwK+2ADz9hWV+NY5g3IemqAa/3gJV6riOrrLHGfLBEgx+LQiZmfbAja3b55bjEIoL4eQglG0HMS6hiOFCxFDgUSNwyzG0Hc9ZBlClJRCK+9AUURHQW4rq9l2oyoqHgF8PQoaVti8oHg6Kh43i4XxO8XD0vXjo8ChhuOVo2jWskuPBuQzAA4AXlFMIUXjBKbErgj2OHStsQBnhjGMnSem/mOxxbdxQZI6Ay8g6zlC1bCAYU+yxkkr8y8seEdwNDoZqvRmqDKQOB0lFcnBHnyzAJBPhhAdMUkr+yyucUBExNXj1BLyaQKZxhnQZqJYSCMbcCBnVJf/lVVnxkFDtjmYd94ni4aB42CgeDoqHo0/FQ4vAqxrIdA2r1HhIMpC8AYQSj2NHiV3RWFEDFAPpAxo7DSsFAu44pBwvi5MZUO2OIxh1IRhzl6z7uF0pXbA4Q7U7BhUcae9fYVLav326BcZMhBM6GJNKVjnDCRURIzl4pIVcTT41BamhBUIxT8m6j1dePOKtSXb2clA8bBQPB8XDQfGw9Z14JOCVE8h1DavEePi0hJ2tFXivqBjUeaIbdWawws68aDiXzg4eWeyLn/PpzOCRnXnxcy4UDwfFw0bxcFA8HBQPG8XD0dV4hOI6sjS/7zJK7Ioidfpg6MoI1KWqnF0dEbxUlbMrI4KXqnJSPBwUDxvFw0HxcFA8bBQPRyniIUsClmB2m8ASo8SuSKaQiw5EKV4r0tXKWarXvHS1cpbiNS9drZwUDwfFw0bxcFA8HBQPG8XDUap4+HX7hQAGl2Hy0j6LpcSuKPYRkLAKT+5Mi5XsXXGdrZylfndfZytnKd/d19nKWcp391E8HBQPB8XDRvFwUDwcFA8bY4DMBBgEDKu0yR0ldkURkGFBgBWU3AkOhOKlfQFwsZWzXC9kLrZylrJSJhVbOcvxQmaKh4Pi4aB42CgeDoqHg+JhY5L9LtlSJ3fUK7YIjAES45CYAYMr9qtkhIFMHWEsi8ESCnRmokprhuBAKUcSqtLiCMa92BNR4dfDUOWOaxetb5SwuIBfb4EEC1b72YQA2o+zJ0RB3XRcchxc0dESd4FzAx41nnG+iKEjYsjwqBG45HjHMnSBhOQ4RV7siSgI6OGMRTcsGaG4F7JkoEoLV248uoDi4aB42CgeDoqHo1fFowvXsJ6MB7dkQLjAmIAmWUhw1U60hQlZ6phlFtMEjBK7YrSOYydJAGDayR1XoTEz7WCwOGAKBQxAlR6DJJX+xihjQMAVRSjmQSjhQ0APp/2a4gIIxT2whIyAKwxVFsh+g7bdEcPktJ7juXg1AwwMYcMNBgZPm5cfA0AkoSHS+poXj2bkKEPnaYpAgEUQjHsRivvgd0XSfk0ZloRQwgtFsuB3RXN2Se+s0saj8ygeNoqHg+LhoHjYel88On8N66l4MCk5JIsAkxg0ZiJhKTC4AsCE3OZrhADMItI1SuyKYOfQ9jh2igyAcRiWjISlQJMtSBJgcgaDy2AQkJmAJCllSewA+xCv9hgIRu1Rr5O3yrkAmmMuWIKhnzsOVZZhj8GdZausdpVCVlBwrQDgcyUHoXSnDUJpDx6ZHPdJACjfewN1CegnJdAU1dEcr0rdKjcsCaG4DlUSCLgNSKx8ZShNPLqO4mGjeDgoHg6Kh633xKPr17CeiAcTUus4dhIYE2AM0GAhYckwuAowC4okwLndrr8Y1MauCxRJQJWdNnemxWBYdlKnSjzjI9pSa99mImFKZWkTkU/7NhPlaBORT/s2Ewmz9G0i8qF4OCgeDoqHjeLhoHg4KB42SQI02XLa3Fl2biHAIBfx8JcSuy5qm9wl79RpstUtSV1S23FxmmIuGFzq1kqZ1L5ydmelTEpWToNLaIq5IHdjpUyieDgoHg6Kh43i4aB4OCgetrTkjttJnSpbaY9m866jfMUr3k033YSxY8fC6/WiX79+qK+vx9q1a/Mu99BDD2GfffaBy+XC5MmT8a9//Svt81gshiuuuAIDBgyAz+fDaaedhp07d5ZrMwghhBBCekRFJXb7778/HnzwQXz44Yd4++23sc8+++Ckk07C7t27sy7z9NNPY968eVi4cCE2bNiAcePGYdq0adi1a1dqnquvvhr/8z//g2XLluGNN97AN998g1NPPbUkZTZ528evzmPZcr0qJJNkl3SLM1S7YlAlXpLXxxSr/S+tUr0+phjJLumqxFHtisEq0etjikHxcFA8HBQPG8XDQfFwUDxsyTZ1Agyq5DyWbd+MMBcmhOjGIhcnFAohEAjg1VdfxYknnphxnsmTJ2PixIl48MEHAQCccwwfPhxXXnklrrvuOgSDQQwaNAhPPvkkTj/9dADAxx9/jAMPPBBr1qzBUUcdVXBZ7r3nTmgyILe2Y2yb1KV1nrCczhODqyJlvaWdaZyh4sYeEoCV3hMJsoZiGp4CmccZ6u5b6pnGGSrH2EO5dD0epUHxsFE8HBQPB8XD1jviUZprWHfHw7Ak7A57IDEBidlpWFpSJ6d3nhAAbrrpFgSDQfj9/pzrrthesYlEAo8++igCgQDGjRuXdZ7169dj/vz5qWmSJKG+vh5r1qwBAKxfvx6GYaC+vj41z9ixYzFixIiciV08Hkc87oyrEwqFWg8TAdHaCcdpU2cPdyKEPZI0JA6DK63vgTPBWSlHIHJwAYRiHpgCCOgtkBlPjXVTpRsIxTzYE9U6dGVPI9BxDCDLLKpORBIawoYCrxqFW0mkyuBWDAiuoSXuguBmh67spWRYEoJxFxRmokqPAMLePzID/LqBYNyLpojaoSt7KZUkHiVA8bBRPBwUDwfFw9Zr4lGCa1hPxEMI2U4awO1NEEDCUiAAqJIBmTnD8Wmyibi1Fw938sILL+Dss89GJBLBkCFDsHLlSgwcODDjvI2NjbAsCzU1NWnTa2pq8PHHHwMAGhoaoGkaqqurO8zT0NCQtRyLFi3CzTffnDbt5pt+DSEELM5gcHucOk0yOgxoKEuAECYsoaA57kK1q7mQsRKL4gweKcGvt0CRLLS998oA+PUWBONeBGOerINQ2oM7tr9pa6HQWmEPHqnDo0bhVuMdVuVWYxAQCBsuCIisg1B2hT14pAeyZMKvh+2RgdqUQ5E4/FoLQnEvgjF31kEou6Jk8egiioeN4uGgeDgoHrZeFY8uXsN6Kh6C22PY2f8vkOBqa1LXcYBixgAFhd9F7rHEbunSpfjZz36W+vfLL7+M4447DieccAI++OADNDY24g9/+APOPPNMrF27FoMHD+7W8s2fPx/z5s1L/TsYDOLPf/q/sCCDC7vtgcwsCEgZ29MxABI4DC6jKeaHT4+VrEEjB9ASd8EUDFVaHBKTYfHM49x4NQMtcRlNcR+qtDhUqX1hBSDMdtMUQOQ/cqOGPc6QRzGgywIW1zLOp8sCnJtoSbjBuQK3WrrHHAaX0JzQoTABr2aACy1ZV9JIDPBqCTQn9AqPR+dRPGwUDwfFw0HxsPW+eHT+GtaT8TAhQQgGkwNWayomwwIDA8/wajHRmk0W0nquxxK7GTNmYPLkyal/Dx06FADg9XoxevRojB49GkcddRTGjBmDP/3pT2mPW5MGDhwIWZY79HDduXMnamtrAQC1tbVIJBJoampKu2vXdp5MdF2Hruupf4dCIdx0822d2lZCCCGEkK5qbm5GIBDIOU+PJXZVVVWoqqrKOx/nPK2tW1uapmHChAlYtWoVZs6cmZp/1apVmDNnDgBgwoQJUFUVq1atwmmnnQYA+OSTT/DVV19hypQpBZe3rq4O27ZtQ1VVFVip74v3gFAohOHDh2Pbtm15G2L2VbSPCkP7KT/aR4Wh/ZQf7aPC9Lb9JIRAc3Mz6urq8s5bMW3swuEwbrvtNsyYMQNDhgxBY2MjHnroIWzfvh1nnHFGar4TTzwRP/7xj1OJ27x58zB79mwceeSRmDRpEu677z6Ew2FceOGFAIBAIICLLroI8+bNQ//+/eH3+3HllVdiypQpBfeIBexOGcOGDSvtRlcAv9/fKw76cqJ9VBjaT/nRPioM7af8aB8Vpjftp3x36pIqJrGTZRkff/wxHn/8cTQ2NmLAgAGYOHEi3nrrLRx88MGp+T7//HM0Njam/n3WWWdh9+7dWLBgARoaGjB+/HisWLEirUPFvffeC0mScNpppyEej2PatGl4+OGHu3X7CCGEEELKraLHsSPlkxwjsJAxcfoq2keFof2UH+2jwtB+yo/2UWH68n6qqDdPkO6j6zoWLlyY1kGEpKN9VBjaT/nRPioM7af8aB8Vpi/vJ7pjRwghhBDSS9AdO0IIIYSQXoISO0IIIYSQXoISO0IIIYSQXoISO0IIIYSQXoISu15k06ZNmDFjBgKBALxeLyZOnIivvvoq5zLLli3D2LFj4XK5cOihh+Kll15K+1wIgQULFmDIkCFwu92or6/H5s2by7kZ3ebSSy8FYwz33Xdf3nkfeugh7LPPPnC5XJg8eTL+9a9/pX0ei8VwxRVXYMCAAfD5fDjttNM6vOpub2EYBq699loceuih8Hq9qKurw6xZs/DNN9/kXbYv7ad829peX6trixYtwsSJE1FVVYXBgwdj5syZ+OSTT/Iu19f2U1u33347GGOYO3duzvn64j7avn07zjvvPAwYMAButxuHHnoo1q1bl3OZ119/HUcccQR0Xcfo0aOxZMmSDvMUW4/3CoL0Cp999pno37+/+NWvfiU2bNggPvvsM/Hcc8+JnTt3Zl3mnXfeEbIsizvvvFNs3LhR3HDDDUJVVfHhhx+m5rn99ttFIBAQy5cvF//+97/FjBkzxKhRo0Q0Gu2OzSqbv//972LcuHGirq5O3HvvvTnnfeqpp4SmaeLPf/6z+M9//iMuvvhiUV1dnbZvL730UjF8+HCxatUqsW7dOnHUUUeJo48+usxbUR5NTU2ivr5ePP300+Ljjz8Wa9asEZMmTRITJkzIuVxf2k+FbGtbfbGuTZs2TTz22GPio48+Eh988IH44Q9/KEaMGCFaWlqyLtMX91PSv/71L7HPPvuIww47TFx11VVZ5+uL++i7774TI0eOFBdccIFYu3at+OKLL8Qrr7wiPvvss6zLfPHFF8Lj8Yh58+aJjRs3it///vdClmWxYsWK1DzF1uO9BSV2vcRZZ50lzjvvvKKWOfPMM8X06dPTpk2ePFn87Gc/E0IIwTkXtbW14q677kp93tTUJHRdF3/961+7Xuge8vXXX4uhQ4eKjz76SIwcOTJvYjdp0iRxxRVXpP5tWZaoq6sTixYtEkLY+0RVVbFs2bLUPJs2bRIAxJo1a8qyDd3tX//6lwAgtm7dmnWevrSf8m1re321rrW1a9cuAUC88cYbWefpq/upublZjBkzRqxcuVJMnTo1Z2LXF/fRtddeK4499tiilrnmmmvEwQcfnDbtrLPOEtOmTUv9u9h6vLegR7G9AOccL774Ivbff39MmzYNgwcPxuTJk7F8+fKcy61Zswb19fVp06ZNm4Y1a9YAALZs2YKGhoa0eQKBACZPnpyaZ2/DOcf555+PX/3qV2mvqssmkUhg/fr1aftAkiTU19en9sH69ethGEbaPGPHjsWIESP22v3UXjAYBGMM1dXVGT/vS/upkG1try/WtfaCwSAAoH///lnn6av76YorrsD06dM7bHsmfXEfPf/88zjyyCNxxhlnYPDgwTj88MPxhz/8Iecy+fZTZ+rx3oISu15g165daGlpwe23344f/OAH+Mc//oEf//jHOPXUU/HGG29kXa6hoSHtnboAUFNTg4aGhtTnyWnZ5tnb3HHHHVAUBT//+c8Lmr+xsRGWZeXdT5qmdUh69ub91FYsFsO1116Lc845J+urefrSfipkW9vri3WtLc455s6di2OOOQaHHHJI1vn64n566qmnsGHDBixatKig+fviPvriiy/wyCOPYMyYMXjllVdw2WWX4ec//zkef/zxrMtk20+hUAjRaLRT9XhvQYndXmjp0qXw+Xypv2SD5FNOOQVXX301xo8fj+uuuw4nn3wyFi9e3MOl7Tnt99Mbb7yB+++/H0uWLAFjrKeLVzHa76e33nor9ZlhGDjzzDMhhMAjjzzSg6Uke7MrrrgCH330EZ566qmeLkpF2bZtG6666iosXboULperp4tTsTjnOOKII/Db3/4Whx9+OC655BJcfPHFffr6lgsldnuhGTNm4IMPPkj9jR8/Hoqi4KCDDkqb78ADD8zZK7a2trZDj8SdO3eitrY29XlyWrZ5Kln7/fTuu+9i165dGDFiBBRFgaIo2Lp1K37xi19gn332ybiOgQMHQpblvPspkUigqakp6zyVrP1+OvLIIwE4Sd3WrVuxcuXKnC/S7gv7KamQbW2vt9e1XObMmYMXXngBq1evxrBhw3LO29f20/r167Fr1y4cccQRqXPSG2+8gQceeACKosCyrA7L9LV9BABDhgwp2fXN7/fD7XZ3qh7vLSix2wtVVVVh9OjRqb9AIICJEyd2GErg008/xciRI7OuZ8qUKVi1alXatJUrV2LKlCkAgFGjRqG2tjZtnlAohLVr16bmqWTt99Mll1yC//3f/01LYurq6vCrX/0Kr7zySsZ1aJqGCRMmpO0DzjlWrVqV2gcTJkyAqqpp83zyySf46quv9sr95Ha7U0nd5s2b8eqrr2LAgAE519EX9lNSIdvaXm+va5kIITBnzhw8++yzeO211zBq1Ki8y/S1/XTiiSfiww8/7PDD6txzz8UHH3wAWZY7LNPX9hEAHHPMMSW/vnWmHu81err3BimNv//970JVVfHoo4+KzZs3p7p2v/XWW6l5zj//fHHdddel/v3OO+8IRVHE7373O7Fp0yaxcOHCjN3mq6urxXPPPSf+93//V5xyyil7dbf59jL1iv3+978vfv/736f+/dRTTwld18WSJUvExo0bxSWXXCKqq6tFQ0NDap5LL71UjBgxQrz22mti3bp1YsqUKWLKlCndtRkllUgkxIwZM8SwYcPEBx98IHbs2JH6i8fjqfn68n7Kt61U14S47LLLRCAQEK+//nraMRSJRFLz0H7qqH2vWNpHdq98RVHEbbfdJjZv3iyWLl0qPB6P+Mtf/pKa57rrrhPnn39+6t/J4U5+9atfiU2bNomHHnoo43An+c5ZeyNK7HqRP/3pT2L06NHC5XKJcePGieXLl6d9PnXqVDF79uy0aX/729/E/vvvLzRNEwcffLB48cUX0z7nnIsbb7xR1NTUCF3XxYknnig++eSTcm9Kt8mU2I0cOVIsXLgwbdrvf/97MWLECKFpmpg0aZL45z//mfZ5NBoVl19+uejXr5/weDzixz/+sdixY0eZS18eW7ZsEQAy/q1evTo1X1/fT7m2leqayHoMPfbYY6l5aD911D6xo31k+5//+R9xyCGHCF3XxdixY8Wjjz6a9vns2bPF1KlT06atXr1ajB8/XmiaJvbdd9+0Yy8p3zlrb8SEEKJn7hUSQgghhJBSojZ2hBBCCCG9BCV2hBBCCCG9BCV2hBBCCCG9BCV2hBBCCCG9BCV2hBBCCCG9BCV2hBBCCCG9BCV2hBBCCCG9BCV2hBBCCCG9BCV2hBBSIn/6059w0kknlf17VqxYgfHjx4NzXvbvIoTsXSixI4SQEojFYrjxxhuxcOHCsn/XD37wA6iqiqVLl5b9uwghexdK7AghpASeeeYZ+P1+HHPMMd3yfRdccAEeeOCBbvkuQsjegxI7QghpY/fu3aitrcVvf/vb1LR3330XmqZh1apVWZd76qmn8KMf/Sht2vHHH4+5c+emTZs5cyYuuOCC1L/32Wcf3HrrrZg1axZ8Ph9GjhyJ559/Hrt378Ypp5wCn8+Hww47DOvWrUtbz49+9COsW7cOn3/+eec3lhDS61BiRwghbQwaNAh//vOfcdNNN2HdunVobm7G+eefjzlz5uDEE0/Mutzbb7+NI488slPfee+99+KYY47B+++/j+nTp+P888/HrFmzcN5552HDhg3Yb7/9MGvWLAghUsuMGDECNTU1eOuttzr1nYSQ3okSO0IIaeeHP/whLr74Ypx77rm49NJL4fV6sWjRoqzzNzU1IRgMoq6urtPf97Of/QxjxozBggULEAqFMHHiRJxxxhnYf//9ce2112LTpk3YuXNn2nJ1dXXYunVrp76TENI7UWJHCCEZ/O53v4Npmli2bBmWLl0KXdezzhuNRgEALperU9912GGHpf6/pqYGAHDooYd2mLZr16605dxuNyKRSKe+kxDSO1FiRwghGXz++ef45ptvwDnHl19+mXPeAQMGgDGGPXv25F2vZVkdpqmqmvp/xljWae2HN/nuu+8waNCgvN9JCOk7KLEjhJB2EokEzjvvPJx11ln4zW9+g5/+9Kcd7pa1pWkaDjroIGzcuLHDZ+0fn37xxRclKWMsFsPnn3+Oww8/vCTrI4T0DpTYEUJIO7/+9a8RDAbxwAMP4Nprr8X++++Pn/zkJzmXmTZtGt5+++0O05977jn8/e9/x+eff47bbrsNGzduxNatW7F9+/YulfGf//wndF3HlClTurQeQkjvQokdIYS08frrr+O+++7DE088Ab/fD0mS8MQTT+Ctt97CI488knW5iy66CC+99BKCwWDa9OnTp+POO+/EQQcdhDfffBMPP/ww/vWvf+GJJ57oUjn/+te/4txzz4XH4+nSegghvQsTbfvPE0II6bQzzjgDRxxxBObPnw/AHsdu/PjxuO+++0r6PY2NjTjggAOwbt06jBo1qqTrJoTs3eiOHSGElMhdd90Fn89X9u/58ssv8fDDD1NSRwjpgO7YEUJImZTrjh0hhGRDiR0hhBBCSC9Bj2IJIYQQQnoJSuwIIYQQQnoJSuwIIYQQQnoJSuwIIYQQQnoJSuwIIYQQQnoJSuwIIYQQQnoJSuwIIYQQQnoJSuwIIYQQQnqJ/x8VlxVLc7tGjAAAAABJRU5ErkJggg==",
       "text/plain": [
        "<Figure size 640x480 with 1 Axes>"
       ]
@@ -1616,19 +1532,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 20,
+   "execution_count": 22,
    "metadata": {},
    "outputs": [
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:44:53 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'asymmetric_ellipse_nanobeam'</span> with task_id            \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-3313404a-b9cb-42c3-a711-3532e96df5ca'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:47:11 -03 </span>Created task <span style=\"color: #008000; text-decoration-color: #008000\">'asymmetric_ellipse_nanobeam'</span> with task_id            \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7'</span> and task_type <span style=\"color: #008000; text-decoration-color: #008000\">'FDTD'</span>.  \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:44:53 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'asymmetric_ellipse_nanobeam'\u001b[0m with task_id            \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-3313404a-b9cb-42c3-a711-3532e96df5ca'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
+       "\u001b[2;36m13:47:11 -03\u001b[0m\u001b[2;36m \u001b[0mCreated task \u001b[32m'asymmetric_ellipse_nanobeam'\u001b[0m with task_id            \n",
+       "\u001b[2;36m             \u001b[0m\u001b[32m'fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7'\u001b[0m and task_type \u001b[32m'FDTD'\u001b[0m.  \n"
       ]
      },
      "metadata": {},
@@ -1638,148 +1554,14 @@
      "data": {
       "text/html": [
        "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View task using web UI at                                          \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9c</span></a>\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">b-42c3-a711-3532e96df5ca'</span></a>.                                         \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4</span></a>\n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">f-4f3c-9056-3e9b5f78c5f7'</span></a>.                                         \n",
        "</pre>\n"
       ],
       "text/plain": [
        "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView task using web UI at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=163203;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=816219;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=163203;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=45688;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=163203;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[32m-3313404a-b9c\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=163203;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[32mb-42c3-a711-3532e96df5ca'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "f3b34635958245da924542e9b3cafe97",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:44:57 -03 </span>status = queued                                                    \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:44:57 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = queued                                                    \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>To cancel the simulation, use <span style=\"color: #008000; text-decoration-color: #008000\">'web.abort(task_id)'</span> or              \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #008000; text-decoration-color: #008000\">'web.delete(task_id)'</span> or abort/delete the task in the web UI.      \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Terminating the Python script will not stop the job running on the \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>cloud.                                                             \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTo cancel the simulation, use \u001b[32m'web.abort\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or              \n",
-       "\u001b[2;36m             \u001b[0m\u001b[32m'web.delete\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m or abort/delete the task in the web UI.      \n",
-       "\u001b[2;36m             \u001b[0mTerminating the Python script will not stop the job running on the \n",
-       "\u001b[2;36m             \u001b[0mcloud.                                                             \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "66b778fdd37f4cfc9dd94c93bf0e9d1c",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:39 -03 </span>status = preprocess                                                \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:45:39 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = preprocess                                                \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:45:40 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.179</span>. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>the billed FlexCredit cost after a simulation run.                 \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:45:40 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.179\u001b[0m. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get\n",
-       "\u001b[2;36m             \u001b[0mthe billed FlexCredit cost after a simulation run.                 \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>starting up solver                                                 \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mstarting up solver                                                 \n"
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=883207;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\u001b\\\u001b[32m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=152196;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\u001b\\\u001b[32mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=883207;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\u001b\\\u001b[32m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=527582;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\u001b\\\u001b[32mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=883207;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\u001b\\\u001b[32m-e2f9e662-6a4\u001b[0m\u001b]8;;\u001b\\\n",
+       "\u001b[2;36m             \u001b[0m\u001b]8;id=883207;https://tidy3d.simulation.cloud/workbench?taskId=fdve-e2f9e662-6a4f-4f3c-9056-3e9b5f78c5f7\u001b\\\u001b[32mf-4f3c-9056-3e9b5f78c5f7'\u001b[0m\u001b]8;;\u001b\\.                                         \n"
       ]
      },
      "metadata": {},
@@ -1788,11 +1570,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>running solver                                                     \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>Task folder: <a href=\"https://tidy3d.simulation.cloud/folders/folder-2d594d1c-257b-417d-92d0-e6dcb36d63f0\" target=\"_blank\"><span style=\"color: #008000; text-decoration-color: #008000\">'default'</span></a>.                                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mrunning solver                                                     \n"
+       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mTask folder: \u001b]8;id=406809;https://tidy3d.simulation.cloud/folders/folder-2d594d1c-257b-417d-92d0-e6dcb36d63f0\u001b\\\u001b[32m'default'\u001b[0m\u001b]8;;\u001b\\.                                            \n"
       ]
      },
      "metadata": {},
@@ -1801,7 +1583,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "215a2cae3c2b435c91874e54ed3e3c2e",
+       "model_id": "6311ed7ae82c48c4b4c7a60eacce6e08",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1838,38 +1620,15 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:47:36 -03 </span>status = postprocess                                               \n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\u001b[2;36m16:47:36 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = postprocess                                               \n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "application/vnd.jupyter.widget-view+json": {
-       "model_id": "66f5302edd764305b7213d9711a3903f",
-       "version_major": 2,
-       "version_minor": 0
-      },
-      "text/plain": [
-       "Output()"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:48:12 -03 </span>status = success                                                   \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:47:16 -03 </span>Maximum FlexCredit cost: <span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.179</span>. Minimum cost depends on task       \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>execution details. Use <span style=\"color: #008000; text-decoration-color: #008000\">'web.real_cost(task_id)'</span> to get the billed  \n",
+       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>FlexCredit cost after a simulation run.                            \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:48:12 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
+       "\u001b[2;36m13:47:16 -03\u001b[0m\u001b[2;36m \u001b[0mMaximum FlexCredit cost: \u001b[1;36m0.179\u001b[0m. Minimum cost depends on task       \n",
+       "\u001b[2;36m             \u001b[0mexecution details. Use \u001b[32m'web.real_cost\u001b[0m\u001b[32m(\u001b[0m\u001b[32mtask_id\u001b[0m\u001b[32m)\u001b[0m\u001b[32m'\u001b[0m to get the billed  \n",
+       "\u001b[2;36m             \u001b[0mFlexCredit cost after a simulation run.                            \n"
       ]
      },
      "metadata": {},
@@ -1878,25 +1637,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"></pre>\n"
-      ],
-      "text/plain": []
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span>View simulation result at                                          \n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">'https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9c</span></a>\n",
-       "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><a href=\"https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\" target=\"_blank\"><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">b-42c3-a711-3532e96df5ca'</span></a><span style=\"color: #000080; text-decoration-color: #000080; text-decoration: underline\">.</span>                                         \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:47:17 -03 </span>status = success                                                   \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m            \u001b[0m\u001b[2;36m \u001b[0mView simulation result at                                          \n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=556018;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[4;34m'https://tidy3d.simulation.cloud/workbench?\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=4346;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[4;34mtaskId\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=556018;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[4;34m=\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=340585;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[4;34mfdve\u001b[0m\u001b]8;;\u001b\\\u001b]8;id=556018;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[4;34m-3313404a-b9c\u001b[0m\u001b]8;;\u001b\\\n",
-       "\u001b[2;36m             \u001b[0m\u001b]8;id=556018;https://tidy3d.simulation.cloud/workbench?taskId=fdve-3313404a-b9cb-42c3-a711-3532e96df5ca\u001b\\\u001b[4;34mb-42c3-a711-3532e96df5ca'\u001b[0m\u001b]8;;\u001b\\\u001b[4;34m.\u001b[0m                                         \n"
+       "\u001b[2;36m13:47:17 -03\u001b[0m\u001b[2;36m \u001b[0mstatus = success                                                   \n"
       ]
      },
      "metadata": {},
@@ -1905,7 +1650,7 @@
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "dadcd221610b41148c89e8a60c215690",
+       "model_id": "9ec188001c404ee29e1dac66267af01b",
        "version_major": 2,
        "version_minor": 0
       },
@@ -1942,11 +1687,11 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:48:57 -03 </span>loading simulation from simulation_data.hdf5                       \n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:48:51 -03 </span>loading simulation from simulation_data.hdf5                       \n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:48:57 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
+       "\u001b[2;36m13:48:51 -03\u001b[0m\u001b[2;36m \u001b[0mloading simulation from simulation_data.hdf5                       \n"
       ]
      },
      "metadata": {},
@@ -1955,14 +1700,14 @@
     {
      "data": {
       "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">16:48:58 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0561</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
+       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\"><span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">13:48:52 -03 </span><span style=\"color: #800000; text-decoration-color: #800000\">WARNING: Simulation final field decay value of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">0.0561</span><span style=\"color: #800000; text-decoration-color: #800000\"> is greater   </span>\n",
        "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">than the simulation shutoff threshold of </span><span style=\"color: #008080; text-decoration-color: #008080; font-weight: bold\">1e-05</span><span style=\"color: #800000; text-decoration-color: #800000\">. Consider running   </span>\n",
        "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">the simulation again with a larger </span><span style=\"color: #008000; text-decoration-color: #008000\">'run_time'</span><span style=\"color: #800000; text-decoration-color: #800000\"> duration for more    </span>\n",
        "<span style=\"color: #7fbfbf; text-decoration-color: #7fbfbf\">             </span><span style=\"color: #800000; text-decoration-color: #800000\">accurate results.                                                  </span>\n",
        "</pre>\n"
       ],
       "text/plain": [
-       "\u001b[2;36m16:48:58 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0561\u001b[0m\u001b[31m is greater   \u001b[0m\n",
+       "\u001b[2;36m13:48:52 -03\u001b[0m\u001b[2;36m \u001b[0m\u001b[31mWARNING: Simulation final field decay value of \u001b[0m\u001b[1;36m0.0561\u001b[0m\u001b[31m is greater   \u001b[0m\n",
        "\u001b[2;36m             \u001b[0m\u001b[31mthan the simulation shutoff threshold of \u001b[0m\u001b[1;36m1e-05\u001b[0m\u001b[31m. Consider running   \u001b[0m\n",
        "\u001b[2;36m             \u001b[0m\u001b[31mthe simulation again with a larger \u001b[0m\u001b[32m'run_time'\u001b[0m\u001b[31m duration for more    \u001b[0m\n",
        "\u001b[2;36m             \u001b[0m\u001b[31maccurate results.                                                  \u001b[0m\n"
@@ -1985,12 +1730,12 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 21,
+   "execution_count": 23,
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 640x480 with 2 Axes>"
       ]
@@ -2012,14 +1757,14 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 22,
+   "execution_count": 24,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Mode volume: 0.41 (lambda/n)^3\n"
+      "Mode volume: 0.35 (lambda/n)^3\n"
      ]
     },
     {
@@ -2063,8 +1808,8 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>1.941612e+14</th>\n",
-       "      <td>1.635266e+08</td>\n",
-       "      <td>3.730130e+06</td>\n",
+       "      <td>1.635262e+08</td>\n",
+       "      <td>3.730139e+06</td>\n",
        "      <td>18817.985879</td>\n",
        "      <td>-2.816392</td>\n",
        "      <td>0.000098</td>\n",
@@ -2077,14 +1822,14 @@
       "text/plain": [
        "                     decay             Q     amplitude     phase     error  \\\n",
        "freq                                                                         \n",
-       "1.941612e+14  1.635266e+08  3.730130e+06  18817.985879 -2.816392  0.000098   \n",
+       "1.941612e+14  1.635262e+08  3.730139e+06  18817.985879 -2.816392  0.000098   \n",
        "\n",
        "                       wl  \n",
        "freq                       \n",
        "1.941612e+14  1544.038947  "
       ]
      },
-     "execution_count": 22,
+     "execution_count": 24,
      "metadata": {},
      "output_type": "execute_result"
     }
@@ -2116,7 +1861,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 23,
+   "execution_count": 25,
    "metadata": {},
    "outputs": [],
    "source": [
@@ -2144,20 +1889,20 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 24,
+   "execution_count": 26,
    "metadata": {},
    "outputs": [
     {
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Q x = 3.98 MM\n",
-      "Q -x = 93.30 MM\n",
-      "Q y = 18.91 MM\n",
-      "Q -y = 18.91 MM\n",
-      "Q z = 20.91 MM\n",
-      "Q -z = 20.91 MM\n",
-      "Q total Q = 2.16 MM\n"
+      "Q x = 2.69 MM\n",
+      "Q -x = 81.60 MM\n",
+      "Q y = 16.45 MM\n",
+      "Q -y = 16.45 MM\n",
+      "Q z = 18.06 MM\n",
+      "Q -z = 18.06 MM\n",
+      "Q total Q = 1.62 MM\n"
      ]
     }
    ],
@@ -2191,7 +1936,7 @@
    "Resonance finder"
   ],
   "kernelspec": {
-   "display_name": "Python 3 (ipykernel)",
+   "display_name": "base",
    "language": "python",
    "name": "python3"
   },
@@ -2206,7 +1951,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.11.0"
+   "version": "3.11.7"
   },
   "title": "How to model a nanobeam cavity using Tidy3D | Flexcompute"
  },