diff --git a/.gitignore b/.gitignore
index debf019..1851575 100644
--- a/.gitignore
+++ b/.gitignore
@@ -56,4 +56,7 @@ scratch/
 temp*
 old*
 
-.weac-reference/
\ No newline at end of file
+.weac-reference/
+
+# Folder for development and local testing
+dev/
\ No newline at end of file
diff --git a/demo/demo.ipynb b/demo/demo.ipynb
index 2f32768..8149f9e 100644
--- a/demo/demo.ipynb
+++ b/demo/demo.ipynb
@@ -107,10 +107,19 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 1,
+   "execution_count": 9,
    "id": "3d1e64be",
    "metadata": {},
-   "outputs": [],
+   "outputs": [
+    {
+     "name": "stdout",
+     "output_type": "stream",
+     "text": [
+      "The autoreload extension is already loaded. To reload it, use:\n",
+      "  %reload_ext autoreload\n"
+     ]
+    }
+   ],
    "source": [
     "# Auto reload modules\n",
     "%load_ext autoreload\n",
@@ -119,7 +128,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 2,
+   "execution_count": 10,
    "id": "62e5b62a",
    "metadata": {},
    "outputs": [],
@@ -173,7 +182,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 3,
+   "execution_count": 11,
    "id": "9e83dd77",
    "metadata": {},
    "outputs": [],
@@ -207,7 +216,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 4,
+   "execution_count": 12,
    "id": "ce16e446",
    "metadata": {},
    "outputs": [],
@@ -258,13 +267,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 5,
+   "execution_count": 13,
    "id": "85adaab8",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 266.667x400 with 1 Axes>"
       ]
@@ -294,7 +303,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 6,
+   "execution_count": 14,
    "id": "675d8183",
    "metadata": {},
    "outputs": [],
@@ -315,13 +324,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 7,
+   "execution_count": 15,
    "id": "fcb203f7",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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Is5KQEUKYlYSMEMKsJGSEEGYlISOEMCsJGSGEWZU5ZHJycpgzZ44pahFC2KAyh8yMGTNYsmQJW7duNUU9QggbU6aQiYyMZPLkybRq1QofHx9+/fVXU9UlhLARlcqycp8+fQCws7MjICDAJAUJIWyLdPwKIcxKQkYIYVYSMkIIs5KQEUKYlYSMEMKsJGSEEGYlISOEMCsJGSGEWUnICCHMSkJGCGFWEjJCCLMyScgopUyxGSGEDTJJyLzxxhum2IwQwgaZJGReeOEFU2xGCGGDpE9GCGFWEjJCCLOSkBFCmJWEjBDCrCRkhBBmZfQYvz/++COnT58mLi6OmjVr0qBBA3r27EmVKlVMWZ8QwsoZ3JI5evQo/v7+TJ06lQMHDnD16lV+/vln3nvvPerVq8cXX3xhjjqFEFbKoJbMpUuX+Oijj/jxxx/x8vJ6YH5aWhrvvvsuzs7O2pMMhBCPNoNCxsnJic8++ww7u6IbQDVq1GDhwoXcvHnTJMUJIayfQYdLtWvXLjZgAP78808AvL29y1aVEMJmGN3xq9frOXDgALdu3UKv1wOwefNmvv/+e5MVJ4SwfkaHTN++fUlOTubJJ59Ep9MBEB0dbfB2cnJyWL58OfPnz+fYsWM0adIEgHnz5vHhhx9ib28PQKtWrYiMjAQgOzubcePGARAXF0doaCghISHGvhUhhBkZHTJJSUkcOnSowLRvv/3W4O2sW7eOzp07k56e/sC848eP4+fn98D0FStWULlyZdasWUNqair+/v507ty5yM5oIUTFMvpivMDAQC5dulRg2sWLFw3ezvjx4+nQoUOR895//32mT5/OxIkTC+xr06ZN2tkrR0dHOnTowNatWw3etxDC/IxuybRp04aWLVvi5OSEg4MDSikSExOZOHGiSQrr3LkzPj4+NGzYkBMnTtC5c2fOnj2Li4sLUVFRBVotnp6eXLlypdhtZWVlkZWVpb1OSUkB8vqV8vuTLI1er0cpZbH1QfnUmL+P/C9jlHX98mAtNRrD6JCZPXs2X3/9NfXq1UOn06GUYt68ecZu7gHdu3fXvm/dujXu7u7s27ePgQMHGrytRYsWMX/+/Aemx8XFkZ2dXaY6zUWv15OcnIxS6qFn9CpSedR47949kpOTsbOz0/r+jJGWllam9cuDpdeY/8/ZUEaHTNOmTenWrVuBaXPnzjV2cw84f/48DRs21F5XqVKFjIwMAPz8/IiJidHmxcbGEhAQUOy2Zs+ezdSpU7XXKSkp+Pj44OHhgaurq8lqNiW9Xo9Op8PDw8OiQ8bcNebk5KDX67GzszN6H/ktBBcXF4v9I7aGGo1ldMjUrVuXkSNH0rFjRxwcHADTnsIeOXIkBw8epHLlysTGxnLp0iU6deoEQGhoKJGRkQQHB5OamsqRI0dYtWpVsdtycHDQarxfWX5xy4NOp3vka8xvweR/GcsU2zA3S6/R2LqMDpkvvviCHj168PPPP2vTjDmFfejQIa3TduHChQwYMICQkBC6du3KoEGD8PX15eLFi2zYsAFfX18AJk2aRHh4OKNGjSIuLo6lS5dSp04dY9+KEMKMdMrI3pwPP/yQ8ePHF5i2cuVKIiIiTFKYOaWkpODi4kJiYqJFHy7dvn27xKusK1J51JiTk0NMTEyZD5eSkpJwdXW12FaCNdSYlJTE008/TXJyMs7OzqVez+iWTHh4OPv27Stwxe+ePXusImSEEOWnwq/4FULYtgq/4lcIYdsq/IpfIYRts9grfoUQtsFir/gVQtgGi73iVwhhGyz2il8hhG2o8Ct+hRC2zeiQeeONNx644nf37t1lLkgIYVuMPoVdOGAAXnjhhTIVI4SwPQaFzLFjxzh79uxDl0lKSmLXrl1lKkoIYTsMOlxq1aoVISEhtG7dmqCgIOrWrUuNGjXIzMwkJiaGQ4cOsWPHDrZs2WKueoUQVsaglkylSpXYvn07lSpVYsSIEXh7e+Pq6oqXlxfPP/88Fy9eZPv27Xh6epqrXiGElTG447dSpUrMnDmTmTNnkpOTQ3x8PK6urlSrVs0c9QkhrJzRZ5cAKleuLINFCSEeyjJHQxJC2AyjQ2bXrl2cOXPGlLUIIWyQ0SEzatSoIp/6KIQQ9yvTeDLt27cvMG3Pnj1lLkgIYVuM7vitV68er7zyCs8991yBGySDg4NNVpwQwvoZHTJbtmyRGySFECWSGySFEGYlN0gKIczK6JCJjY1l6NChDBw4kLS0NEaNGkVCQoIpaxNC2ACjQ2b69Ol069aNGjVqUKNGDSIiIpg5c6YpaxNC2ACjQ8bHx4dRo0bh6OgIQPPmzalZs6bJChNC2AajQyY+Ph5Ae3rk3bt35blLQogHGH12KSgoiMaNG5OZmUnPnj05efIka9asMWVtQggbYHTItGjRgq+++ooffvgBgFWrVtGwYUOTFSaEsA1Gh8yQIUNYsWJFkaeyhRAin9F9Mp06deLkyZMMHjyYTz/9lMzMTFPWJYSwEUaHzPLlyxk/fjxffPEFtWvXpmnTpkyfPp3Lly+bsj4hhJUzOmQ2b97MjRs3mD17NqNHj8bf35+AgAA++eQT/vrXv5qyRiGEFTO6T2bq1KnodDpeffVVjhw5Qr169QAYMGAAQ4YMMVmBQgjrZnTIdOzYkS+++OKBAcQvX75M7dq1y1yYEMI2GB0yO3fu1C7Ey3fhwgUaNGjABx98UNa6hBA2wuiQ0el0HD9+nPPnz5Obmwvk9dN8//33JitOCGH9jA6ZefPmceLECaKiomjTpg3Xrl0jKSnJhKUJIWyB0WeXEhIS2LNnD0FBQaxfv559+/bRrVs3U9YmhLABRodM1apVAUhJSdGmXb16tewVCSFsitGHS+fOnWPHjh00bdqU5s2b4+LiQvXq1U1Zm7Bhubm55OTklLhcTk4O9+7dw87O7oETDYbQ6/Xcu3fP6PXLg6XUqNPpsLOzw87ONM9+NDpkvv76awDs7e3x8vIiISGBvn37mqQoYdtSU1O5ceMGSqkSl1VKaScWyhoy97e6LZEl1aiUwtnZmSpVqpR5WwaHzL///e8Hpnl7e1OnTh0mT57Mjh07ylyUsF25ubncuHGD6tWr4+HhUWJwmOq/u16vN9l/ZnOxpBrv3LlDSkoKbm5uZa7J4JAZPHgw/v7+Rf4XkkGrRElycnJQSuHh4fHAhZxFMVXI5ObmYm9vX+btmJMl1ejm5kZqaqpJgs/gkHnzzTcJDw8vct7HH39cpmLEo6Mshz6i/JTmkLYkBodMcQEDMHbs2DIVIx5RrVvzS1oaQefP06RaNb5r0ACn//5H1wGVCv2in8/MpPuFC7jY2/NDgwZ4Va5c5GbvHTli7spFKVjGAaB4pBUXMEUpbcCU1oQJE3BwcGDs2LHo9XoAxo0bx7Rp07RlJk2aROvWrTl06JBB205LS2P48OGlGjHym2++ISAggEaNGrF27VrD3oSFk5ARFc4cARNTitPjAKtXr6Zu3boMGjRI63s4fvw4e/fu1Zbp378/M2bMoFOnTqV8R3lq1KjB/PnzS7Vsv3796N27Ny1atCAsLMyg/Vg6CRlR4cwRMM9duFDq/ffo0UMLld9//52XXnqJ6OhobQC2H374gaCgIO7cuUN4eDhvvvkmr732GuvXrwfg3r179O/fn9dff52IiAjefvvtIveze/du/Pz8iIiI4O7du6WuD/IeCx0eHs6sWbMYPXo0qampxMfH07NnTxo1akRkZCR6vZ6XX36ZoKAg4uPjOXjwIKNHj+bNN98kNDSUc+fOAXnDsTg4OPDxxx/To0cP6tSpY1AthjI6ZPbt2/fAtOXLl5epGPFoMkfAJP/32prS6NmzpxYy3333HX379qVr167atDt37uDm5sa0adPo1KkT77zzDmvXrmXx4sWcPXsWgGHDhrFkyRJWrlzJr7/+yi+//FJgH7m5uRw8eJBt27axcuVKnJycSl0fQLNmzVizZg2LFy/mqaeeYu3atbi7u/PJJ5+QkpJC165dsbOzo379+nzyySfodDpee+01VqxYwTvvvMPIkSO1PtOdO3cC8Pjjj/P999+bfZA5oy/G+/DDD+nevbv2+uuvv2bx4sVMmTLFJIWJR4c5AmZfgwal3n+3bt0YOnQo165d49y5c0ybNo1evXrx7bffEhwcTN26dQHYu3cvmZmZ/PzzzwD4+voSFRVFo0aNuHHjBmPGjMHJyYmoqCguXLhA27ZtgbyAGTFiBNWqVdOmGcrFxYVRo0bh4uLCuXPn8PHxAfIesti5c2e2bNlCaGgocXFx+Pr6EhkZSVpaGq+//joA2dnZKKVQSmln9p577jng4SdzTMHokLl27RrvvPMOkyZNYsKECRw/fpymTZuasjbxiDufmUm38+eNCpiGVatS2qtrHB0dCQgIYPv27VoLo2fPnsyaNYtvvvmGnj17astOnDiRjh07ApCVlYWdnR3btm1jw4YNHD9+HHt7e0aPHq1dpQyQmJhIWFgYw4cPZ//+/QbfSHz9+nVeeeUVzp07h7e3Nxs3bixwUWx4eDhTpkzBzs6OV155RZvu6urKhx9+qL1OTU0tcOmAg4ODQXUYy+jDpb1799KyZUv8/f1xcXHhP//5D59++qkpaxOPsPOZmTxbhoAxVK9evfjb3/6mBYCfnx9169Zlw4YNtGzZUlsm/zljAMOHD+f69eskJCTg4uKiXUh3/fr1Att2d3cnICCAdevWERYWRnJycqnrGj16NCkpKSilcHFxKXL7Xbt2BWDTpk3a0UX79u1JTEzk0qVLAMTGxjJ48OBS79eUynRbgZOTEy+//DJubm788ssvrFixQm4rEIY7ceKBSQ2BaP53xe/DWiXuwKn7XhtzfXDPnj2ZO3cuzz77bIFpd+7c0f77v//++0yePJmJEyeilKJ3797Uq1ePoUOHsmfPHgYNGoSvry+JiYl8/vnntGvXjiVLlnDnzh2WL1/OM888Q05ODgMHDuTtt98mICBA29fu3bvZu3cviYmJTJo0SZv+yy+/0LhxY8aMGUO/fv1o3bo1586d4/Lly0RGRtKnTx8gL/AqVaqk1VqrVi22bt3K9OnTqV+/PomJiVqf6dy5c4G8U/NvvPEGnp6eRnxipadTBl7S99hjjz30toLCKVuSnJwcli9fzvz58zl27BhNmjQBICkpibCwMJydnbl58yYzZswgMDAQyDu+HDduHABxcXGEhoYSEhJS6n2mpKTg4uJCYmIirq6uBtVbXvR6Pbdv36Z27doWcz9LYcbUmJmZyZUrV3jiiSe04UJK2ofcVlC8S5cu8eSTTxIWFsaSJUtwdnY2SS2ZmZlcu3YNZ2dnKv+3FZmUlMTTTz9NcnKyQfsx6W0F69atM3RzrFu3js6dO5Oenl5g+pw5c2jZsiUzZ84kOjqaNm3acPnyZapWrcqKFSuoXLkya9asITU1FX9/fzp37oyXl5fB+xfCms2dO5fKlSvTtm1bkwWMqZXptoLCY/x++eWXjBkzxqDtFfeY282bN3P48GEgr/Xk7e3Nd999R//+/dm0aRMLFy4E8jrtOnTowNatW5k8ebKhb0cIq/b5559XdAklssgxfvNvM7+/ZeLp6cmVK1cAiIqKKnZeUbKyssjKytJe54/ZodfrtUvJLY1er0cpZbH1gXE15q+T/1Ua9592FeUv/+dk7M2SRodM/hi/U6ZM0TqUZsyYYezmzGrRokVFXt4dFxdHdnZ2BVRUMr1eT3JyMkopi+6TMbTGnJyc/3XmlqKvJX/QqrKGjCWHdT5LqjH/H3BKSor2szV2QC2jQ8acY/y6ubnh5ORETEwM7u7uQN4pOD8/PyDv9GJMTIy2fGxsbIGe+sJmz57N1KlTtdcpKSn4+Pjg4eFh0R2/Op0ODw8Piw4ZQ2vMzMzk7t27VKpUiUqVSv71K3wBWVlYescvWE6N+cNvOjs7l+rn9DAWO8ZvaGgokZGRNGnShOjoaKKjo+ndu3eBecHBwaSmpnLkyBFWrVpV7LYcHByKvPDIlOOYmoOpx1o1B0NrzB+rN/8L8s6qFPdfXK/XF7iwzdDaLOWP1prl/5yMDXqTjvE7bNgwg7dz6NAhtm7dCsDChQsZMGAAISEhvPvuu4wdO5YxY8YQHR3Nli1btNbTpEmTCA8PZ9SoUcTFxbF06VKz3+QlzCM3N5fY2NiHBomxfQF2dnbUqlWrxKCJjIxk8+bN1KpVi7S0NBISEnj33XeNuoI9KiqKHj16cP78eaNqLq34+HjmzJnDnj17iI6ONuu+ysrokLn/Bzdo0CCjC+jUqROdOnVi9erVBabXrFmTbdu2FbmOg4MD//jHP4zep7Ac+S2V+1s29zM2YPI7pEtaPysri7CwMP7880+tJT5nzhwuXLhg0bfJLF++nMDAQHbv3l3RpZTI6HZ4bGwsQ4cOZeDAgaSlpTFq1CgSEhJMWZt4hNx/2GWKr9I27TMzM0lJSeHmzZvatDlz5tCrVy+OHj1KkyZN6N69O3/++Sd//vknnTp1IiIigtu3bzN48GDeeOMNXnvtNZYtWwbAggULuHPnDpMmTdJOiJQ05MK6devo2bMngYGB/PrrrwwdOpSmTZs+9Dadd999l8cee8zYj7tcGR0y06dPp1u3btSoUYMaNWoQERHBzJkzTVmbEGbn4uLC66+/Ttu2bQkJCeGTTz4hMzOT6tWr0759e+bOnUuVKlXw9/fH39+fJ554ghUrVvD555/j7u7OwoULWbt2rdanNHfuXNzc3FixYgVTpkwhISGhxCEXGjZsyN69e6lfvz7z5s1j8+bNfPXVV7zzzjsV9rmYktEh4+Pjw6hRo3B0dASgefPm1KxZ02SFCVFe5syZwx9//EFQUBA7duygYcOG7N+/H4CBAwdy9uxZzp49y9GjR2nTpg06nY7AwEB27drFiBEjiIyMLPZC0KNHj2pDLowfP56tW7c+cI1Qhw4dgLyzps2bN0en01G/fn1u3bpl9vdeHozuk4mPjwf+1+N89+5deSSKsEqnTp2iRYsWjBkzhjFjxjB37lxWr15Nt27dqFy5Mn/5y19Ys2YNOTk5LFq0CICWLVty7tw59uzZw8qVK1m3bh179uwpcvulHXJBp9MV+N4UTwqwBEa3ZIKCgmjcuDF79+6lZ8+ePPnkk4SGhpqyNiHKxahRox44hf74449r348ePZpt27bh4OCgXVf1ySefEBUVRUhICDt27OD48eNA3vVj+WfKNmzYYFFDLlQUo1syISEhNGvWTBtfY9WqVaUalV2IohR3e4Ihtx8UXq+02rZtyyuvvIK3tzdpaWlkZ2cXGErW29ubjh07MmrUKG2al5cXs2fPxt/fn9jYWK3j19PTk8aNGzN+/Hiys7MZPnx4iUMuvP322/Tq1Yu9e/ei0+no2bMn3333nbbMggULHqh5w4YN7Nmzh7S0NCZNmsRf/vIXmjdvbvDnVB4MHuoh3/Hjx2nTpo2p6ykXMtSDaZhiqIfyuk7G2KEeLl26RN26dRk1ahQbN240qo7SsqThKCp0qId8I0eOZMyYMfTv318bA1UIQ9nb2+Pp6WmxV/y++OKL+Pv7FxhIShjG6JAZP348Xbp0YePGjURFRfHEE08wYMAAnn76aVPWJx4B9vb2xYZB/v1RFeXUqVMVtm9bYXTI5I8r4+TkxFdffcVHH33E+++/T2JiosmKE0JYP6MP9ufPn88zzzxDhw4dOHfuHCtXruT27dumrE3YMFs5PWvrTNGKNLolk5OTg7OzM6Ghobz44ov4+vqWuRhh+ypXroxOpyMuLg4PD48Sf4lNNcavXq+32A70fJZU4507d0w2lpHRIZN/yfP58+fZunUrJ06coGnTpmZ/Gp2wbvb29jz++OPcuHGDqKioEpfPH7QKyvZf1ZL+gItjSTUqpXB2dq7YkFm6dCn9+vXj66+/5uuvv+bSpUsGP3pTPJocHR1p0KABOTk5JS6bk5NDfHy8QTc9FiUlJcViB9rOZyk1mnocI6NDJv/S6759+7Jo0SK6dOliMSksLN/DzigVXq5SpUpl+qXPb/bf/1wiS2MNNRrL6JCZPn06b7/9tilrEULYIKObHhIwQojSkOMbIYRZScgIIcxKQkYIYVYyxq8QwqxkjF8hhFnJGL9CCLMyOmRkjF8hRGkYfTFe/hi/mZmZ9OzZk5MnT7JmzRpT1iaEsAFGh8wzzzzDV199JWP8CiEeyuiQGTx4MEuXLmX8+PGmrEcIYWOM7pNp164dv//+O0OGDOH9998nLi7OlHUJIWyE0S2ZVatWARAWFsbJkycZMGAAXl5efPnllyYrTghh/YxuyXz++eckJCSwbNkyhgwZQmJiIgEBAaasTQhhA4wOmWnTptGwYUP+7//+j08//ZTff/+dKVOmmLI2IYQNMPpwqU2bNmzZskVGwxNCPJTRIbNz507s7e1JT08HoHr16iYrSghhO4w+XLp58yaBgYE4Ojri5ORE165duX79uilrE0LYAKND5vXXX2fChAncvHmT6Ohoxo0bx+uvv27K2oQQNsDow6W6desSEhKivX755Zc5duyYSYoSQtgOo1syN27cKPBIi+zsbG7evGmSooQQtsPolsyAAQPw8/OjefPmAJw5c4aVK1earDAhhG0wOmReeuklmjVrxr/+9S8APvjgA7lBUgjxAKNDBvKeeJeamgrkjScjhBCFGd0ns2zZMvr378/x48c5fvw4/fr144MPPjBhaUIIW2B0S2bPnj1cunQJBwcHADIzM3n++eeZPHmyqWoTQtgAo1sy/v7+WsAAVK1alSZNmpikKCGE7TC4JfPvf/8bAFdXV+bNm6fdef3zzz+TnZ1t2uqEEFbP4JAZPHgw/v7+KKUA+PHHH7V5MpC4EKIwg0PmzTffJDw8vMh5cp2MEKIwg0Pm/oA5fvw458+fJzc3F8jrDI6IiDBddUIIq2f02aV58+Zx4sQJoqKiaNOmDdeuXSMpKcmEpQkhbIHRZ5cSEhLYs2cPQUFBrF+/nn379tGtWzdT1iaEsAFGh0zVqlWBvKt+8129erXsFQkhbIrRh0vnzp1jx44dNG3alObNm+Pi4iKj4wkhHmB0yHz99dcA2Nvb4+XlRUJCAsOGDTNVXUIIG2F0yNjb22vfDxo0yCTFCCFsj9F9MkIIURoSMkIIszI6ZAo/+/r48eMmv61gxIgReHl5aV9hYWHavKSkJAYNGsSYMWMIDg4ucHuDEMJyGN0ns2DBggK3EVStWpWpU6eya9cukxSWLyYmpsjpc+bMoWXLlsycOZPo6GjatGnD5cuXtVPrQgjLYPRd2NHR0dr3gHZrgam98cYbZGdno5Ri5syZ1K5dG4DNmzdz+PBhAB577DG8vb357rvv6N+/v1nqEEIYx+CQeeuttwC4cOGC9j1AtWrVePnll01XGdC3b186duyIl5cXX331Fd27d+fkyZOkpKSQkpKCl5eXtqynpydXrlwpcjtZWVlkZWVpr/MvINTr9ej1epPWbCp6vR6llMXWB+VTY/4+8r+MUdb1y4O11GgMg0PmwIEDAGzZsoWhQ4catdPSGjhwYIHvR4wYwZkzZ/Dz8zNoO4sWLWL+/PkPTI+Li7PYMXD0ej3JyckopbCzs8z++fKo8d69eyQnJ2NnZ4dOpzN6O2lpaWVavzxYeo33X91vCKP7ZMwdMADnz58v8ASEKlWqkJGRgZubG05OTsTExODu7g5AbGxsseEze/Zspk6dqr1OSUnBx8cHDw8PXF1dzfkWjKbX69HpdHh4eFh0yJi7xpycHPR6PXZ2dkbvI7+F4OLiYrF/xNZQo7HK9LSCwt56660iWwzGCg0N5ZdffgHg9OnT2NnZ0axZM21eZGQkTZo0ITo6mujoaHr37l3kdhwcHAoMFZqvLL+45UGn0z3yNea3YPK/jGWKbZibpddobF1Gh8ynn37KW2+9RUxMjJbCOp3OpCHTuHFjhgwZgqenJxcuXGDnzp04OTkB8O677zJ27FjGjBlDdHQ0W7ZskTNLQlggo0Nm6dKl7Nu3jwYNGmj/xebNm2equgBYv359sfNq1qzJtm3bTLo/IYTpGR0yjRs3xt/fv8A0uUFSCFGYwSGzceNGAHx9fXn11Vfp3Lmz1t+xefNmvv/+e9NWKISwagaHzMKFC+nQoQOQdyf2zz//rM2Ljo42XWVCCJtgcMi8/fbbxV50t3v37jIXJISwLQafd8wPmHXr1j0w74UXXih7RUIIm2J0x+/bb7/N1q1bC0yrUqUKLVq04I033sDZ2bnMxQkhrJ/RIdOnTx+8vLy0x9QeOXKE1NRU6tatS0REBJ999pmpahRCWDGjQ8bBwaHAhXc9evQgLCyMcePGceHCBZMUJ4SwfkZfC3769GkyMzO11xkZGZw7d84kRQkhbIfRLZkBAwZQt25dWrduDcCvv/7KX//6V/bv38+tW7dMVqAQwroZHTKTJ0+mW7duHDx4EJ1Ox3vvvYdSimbNmsmTJIUQGoMPl3777Tf0ej0bN27k1KlTuLq64uLiwsmTJ5k+fbo5ahRCWDGDWzITJ05k06ZNLF68mHbt2hWYJ1f8CiEKMzhkDh48CORdJ/PSSy8VmPfll1+apCghhO0w+uxS4YApbpoQ4tFmdMjExsYydOhQBg4cSFpaGqNGjSIhIcGUtQkhbIDRITN9+nS6detGjRo1qFGjBhEREcycOdOUtQkhbIDRIePj48OoUaNwdHQEoHnz5tSsWdNkhQkhbIPRIRMfHw/8b3Dhu3fvyu0EQogHGH0xXlBQEI0bNyYzM5OePXty8uRJ1qxZY8rahBA2wOCQycjIoFq1aoSEhNC0aVP27dsHwKpVq/Dx8TF5gUII62bw4dKkSZPIyMggPT2dunXrMnLkSEaOHMnjjz9e4AFqQggBRoTMJ598gqOjI05OTgW+HB0dixwtTwjxaDM4ZIYMGcLly5e5dOkSffr04fLly9qXPBJFCFGYwX0yK1euxM3NDQBHR0d8fX21ecuXLzddZUIIm2BwSyY/YCDvIeH3k+tkhBCFGRwy7733nvZ94QdwL126tOwVCSFsisGHS8uWLWPHjh0AXLp0ibZt22rzrl27xrRp00xXnRDC6hkcMo0bN2b48OFFztu8eXOZCxJC2BajniDZqVOnIufVr1+/zAUJIWyLwX0yxQUMoD2DSQgh8hl9g6QQQpSGhIwQwqwkZIQQZiUhI4QwKwkZIYRZScgIIcxKQkYIYVYSMkIIs5KQEUKYlYSMEMKsJGSEEGYlISOEMCsJGSGEWUnICCHMSkJGCGFWEjJCCLOSkBFCmJWEjBDCrCRkhBBmJSEjhDArCRkhhFlJyAghzEpCRghhVhIyQgizkpARQpiVVYfMtWvX6N+/P2FhYQQHB/N///d/FV2SEKIQg5+FbUnCw8N59dVXeeWVVzh69ChDhw7l9OnTFV2WEOI+VhsyCQkJfPvtt/zzn/8EoH379kRHR3Pq1ClatGhRYNmsrCyysrK01ykpKQDo9Xr0en251WwIvV6PUspi64PyqfH+fSiljNpG/vq5ubnodDoTV1gKmZlQwmeklEKfkUGuvX3F1FgK+vR0o9az2pC5evUq1atXx9HRUZvm6enJlStXHgiZRYsWMX/+/Ae2ERcXR3Z2trlLNYperyc5ORmlFHZ2lnlUWx415ubmcvfu3TIHWVpamtEhVSb37kFMzIMho9eDTpf3BaAUaUqh7p9W3LIPo1TeV2l+HgYum5qWVvJyRbDakDHE7NmzmTp1qvY6JSUFHx8fPDw8cHV1rbjCHkKv16PT6fDw8LDokCmPGj08PMoUEHq9nvj4eNzd3cv/s7x8GRYsgMqVoUoVyMqCuLi81x4e2h+4Xqcj3tcX96tXsct/rzk5cPt23jIeHlDpIX+u9+7lbVevh9q187ZfHL0+b9mcnLztOjgUv6xSkJAAGRkk3fcP3RBWGzK+vr6kp6eTmpqqtWZu376Nn5/fA8s6ODjgUMQHaWdnZ7F/wAA6nU5qBKpUqVKm9fV6PZUrV8bBwaH8P0udDqKjwckp7w/22rW8P+q6dSE5+X816nRUrlULh8TEvJDJzoarV/MCxtcX7t4tfh/37uUtq9fnLZuaWvyyen1eDVlZeTWkp+d9FUWpvNpTU+Hxx3HIyDDqI7Dc394S1KpVi169ehEZGQnA0aNHqVOnDi1btqzgyoQoQmZmwYB5WNgVDpiSWjD3B8zDArlwwFSrVvyyhQIGI1sxYMUtGYA1a9YQERHBgQMHuH79Ops3b67okoR4kF4Pt27l/VGXFDA5OTYVMGDlIePr68s333xT0WUI8XAZGXkBUFLA5IeGDQUMWHnICGEV7OzyOmNLasHkd/L6+NhMwIAV98kIYTWqVXuk+mAKk5ARoiLdHzAeHmBvX/yyVhgwICEjRMUp3IKx9IAx8lolCRkhKoI1Bkx8fMnvqwgSMkKUN2vrg1Eq79aIh13k9xASMkKUJ2sNmKQkcHcv8e0VRU5hC1FerDlg6tR5+D1ODyEtGSHKg7UHTBluJJaQEcLclIKbN0sXMLm5NhUwICEjhPmlpz+yAQMSMkKYn04H3t4lB0z+eDA2FDAgISOE+VWr9kj1wRQmISOEuT1s2Mz7A6Y0I9pZWcCAhIwQFadwC+ZhrR0rDRiQkBGiYhQOGGtowSQlPXx+MSRkhChv1tgHEx8PiYkPX6YYEjJClCdrDZi4OKhZ8+HLFUNCRojyYs0B4+FhdH/NI3nvUv4zfFJSUiz2cSN6vZ67d+9StWpVqbGMKrTO1NS8wEhNzXt+kV4PXl55w23m5PyvRjs77qanUzU9Hbt79yA2Nu9WBC+vvHWKe7CaUnnDdmZk5J2d0ukevmx8fF4t7u55/UAPe2BbUlLeIVLNmlCtGin/fSSKoc/A0qkKeaxexbp8+TJPPvlkRZchhFW6dOkS9erVK/Xyj2RLxs3NDYBr167h4uJSwdUULf8pl9evX8fZ2bmiyymSNdQI1lGnNdSYnJxM3bp1tb+f0nokQya/yezi4mKxP9B8zs7OUqOJWEOd1lCjoYeclnsgLYSwCRIyQgizeiRDxsHBgbfeegsHI0f6Kg9So+lYQ522XOMjeXZJCFF+HsmWjBCi/EjICCHMSkJGCGFWNnedzIgRI/juu++01/3792ft2rUAJCUlERYWhrOzMzdv3mTGjBkEBgYCkJ2dzbhx4wCIi4sjNDSUkJAQs9f7/vvvM2PGDO1SbUurcdKkSdy9exdXV1dOnz7NhAkTGDBggMXUmZCQwPTp03F0dESn0xEVFcWyZcuoX7++xdQIkJOTw/Lly5k/fz7Hjh2jSZMmgOX9vB/m2rVrRERE4OXlxY0bN1i8eLH2Ph5K2Zjhw4cXO2/cuHFq8eLFSimlbty4oerUqaMyMjKUUkotWbJEhYWFKaWUunv3rvL29la3bt0ya62//fabev7559X9PwZLq3H69Ona9/v27VNubm4WVefJkydVeHi49nrlypUqMDDQompUSqnVq1ern3/+WQHqt99+06ZbUo0lef7559XWrVuVUkodOXJENWvWrFTr2WTIzJ49W02bNk1NnTpVxcbGavOcnZ0L/IBbtWqldu7cqZRSqmnTpmr37t3avBdffFEtX77cbHVmZ2erfv36qdOnTxcIGUuqsbA1a9aoZ5991uLq1Ov12vd79uxR9evXt7ga8xUOGUussSjx8fFKp9Opu3fvatNq1aqlTp48WeK6Nne41LdvXzp27IiXlxdfffUV3bt35+TJk6SkpJCSkoKXl5e2rKenJ1euXAEgKiqq2HnmMG/ePCIiIgpcQn7nzh2LqjHfyZMneeedd7h+/To7d+60uDp1942hu3v3bsaPH29xNRbFGmrMd/XqVapXr47jfcNI5NfTokWLh65rcx2/AwcO1H4wAwcO5OrVq5w5c6aCqyro559/Jj09nW7dulV0KaXSsmVLduzYwbvvvkvnzp3J+O8t/5YmMjKS9PR0Jk2aVNGliPvYXMicP3++wOsqVaqQkZGBm5sbTk5OxMTEaPNiY2Px8/MDwM/Pr9h5pvbNN9+QmJhIWFgYc+bMASAsLIwDBw5YTI0Aubm5pKamaq+DgoK4e/cuFy9etKg6IS9gvvnmG9avX49Op7Oon3dxrKHGfL6+vqSnpxf4fbh9+3bp6jHjYVyFaNOmjfb9qVOnlIeHh0pJSVFKKRUeHl6gk83Ly0vrZHvvvfce6GS7efOm2eu9cuVKgT4ZS6rxypUravDgwdrr6Oho5eDgoKKioiyqzm3btqmIiAitbyYiIkIpZVmfZT4K9clYYo3F6d27d4GO36ZNm5ZqPZu7rWDkyJFkZWXh6enJhQsXmD17NgEBAQAkJiYyduxYXF1diY6OZtq0adohS1ZWFuHh4eh0OuLi4hgyZAiDBg0ya60HDx5k/fr1bNy4kfHjxxMeHo63t7fF1JiSksJrr71G9erVqVmzJn/88QfDhw9n8ODBFvNZnjlzhmeeeQZ3d3dtWnJyMhkZGRZTI8ChQ4fYunUrH374IYMHD2bAgAGEhIRYVI0luXr1KhEREdSpU4fr16+zaNEimjVrVuJ6NhcyQgjLYnN9MkIIyyIhI4QwKwkZIYRZScgIIcxKQkYIYVYSMkIIs5KQEUKYlYSMEMKsbO4ubCEsTXR0NEePHuX06dOEh4dTp06dii6pXElLRggzO378eJE3Qz4qJGTEIyEnJ4ejR49WyL779++Pp6cniYmJ2tgrsbGxXLx4sULqKW8SMo+4n376iWeffZbatWsTFhbGoEGDCA4OZseOHWbdb2BgIKdPnwaga9euHDx40Gz7ysnJISQkBCcnJz766CO8vb2N3t/evXsZO3aswes9/fTTNGvWjDVr1gDg7u7O/PnzOXLkiFF1WBPpk3nEde7cmeHDh7N69WptwPVbt27Rq1cvrl27xpQpU8yy302bNvHYY4+ZZduFLV26lFatWtG4cWMaN27Mtm3bjN7W7t276du3r0HrLFy4kH79+lG1alWuXbsGgL29PUuWLCEwMJBz584Z/BB7a2K770wYrU6dOixZsoS5c+dqo+Bt27aN0aNHM2vWLIYOHcqtW7cAWL16Nd7e3kybNo2XXnqJRo0a8cknnwCQnp5OaGgo06dPJzw8nGnTpgGwfft2evbsyaZNm9i8eTMXLlxgxYoVTJgwgdjYWPr164eHhwcbN24EYPLkybRq1Yo///yzyHqTkpLYsWMHn332Gffu3Xtg/oYNGwgKCnpgenx8PK1ataJ///7861//AuCDDz6gS5cuTJgwgTFjxvDYY49p4Quwf/9+unfvXuB9h4SE4O/vz86dO3njjTcICAjg+eef12rp3bs3ly5d4sSJE9rTB/I/Z0dHR3788UfDfkDWxlwD3AjTu3z5sjp9+rTJt7t+/XrVqlWrAtMSEhIUoH755Rd19uxZ9dRTT6nc3FyllFJ///vfCwxmNXz4cDV06FCllFJnz55V3t7eSimlduzYoXr37q0tt3DhwgLrrF+/XimlVGBgoDpw4IA2Ly0tTbm7u6urV68qpZRatWqV+umnn4qsPSMjQ40dO1ZlZ2erHTt2qFWrVhWYn5WVpQAVHR2tTcvf3+7du9X8+fO16adOnVLu7u4qNTVVKaXU3LlztScf5M/v169fgffw6quvKqWU+uGHH5Sjo6P6888/lVJKBQQEqO+//77Imu/Xr1+/ChscvLxIS8ZKnDhxgr///e+lGiTI1H744QcyMjIYN26cNkxoenp6gWU6d+4MQIMGDbRWTuvWrfnjjz/o168fn3/+eakPvapXr86rr77KRx99hFKKQ4cO0alTpyKX/fzzz+ncuTOVK1cmJyeHqKioAvPj4+MBqFGjRoHpO3fuZPTo0QXGAz548CCtWrXSls0f7Czfrl27eOGFFwpM69ixIwD16tXD0dGRhg0bAvDkk09qn8PDODk5ERcXV+Jy1kz6ZKxAVFQUL774Ivfu3WP//v0Gr1+rVi0iIyMNWufEiRPUqFGDJk2acOzYMerXr1/gsOH+sV4BHBwcgLy+BvXfcdDq1q3LhQsX2Lt3L3//+99ZtGgRJ0+epFKlkn/txo0bR4cOHejYsSPdu3cvdrkdO3Zoh1V79+59IARcXV0ByMzMxMXFRZtes2ZNXnrpJSZOnKitf/9TD4qSP45wUe9bp9Np3+e/1uv1JbzLvEPKmjVrlricNZOQsQJ+fn6cOnWKjz76iFmzZmFvb2/W/d2+fZuZM2cyf/58qlWrRlBQEPPmzSM5ORkXFxdOnz7NBx98wPr16x+6nT179lCtWjWCg4MJDg6mVq1apKaman/4+apWrUpubi5nzpwhMzOTtm3b8uSTT9KmTRumTJnCb7/9VuT29Xo9Z86cwdHRkejoaOLi4ujfv3+BZapXr463tzcxMTF4enpq07t27Uq7du145pln2LlzJwMGDKBr164sWLCAtLQ0atSoUeDMz61bt7CzsyuwDVOIiYmhQYMGJt2mpZGQsRI1a9ZkypQpXLx4EX9/f5Nt99ChQ2zevJlr164xYcIEkpKSSE5OZtasWbzyyisA+Pv7s2bNGl599VXq169PYmIiS5YsAfIOIY4dO8aNGzcICAhg8+bNAMydO5fg4GDmzZvH//t//4+kpCRmzZqFq6sr27dv19Zp0aIFL7/8Mh988AFKKZYtW6bVNmrUKA4dOkT16tWLrP23337jueee49tvvyUpKYkvv/yyyNbIyy+/zOHDh2nevDnr16/XOpqXL1+Ot7c3Y8aM4fLly0ybNo2//vWv9O7dm0aNGuHs7EyVKlWAvMAMDg7Wtln4fb/zzjvcuXOHFStW0KBBA21eu3bteOqpp4qsPy0tjStXrtCzZ08jfnJWpIL7hIR4wMWLF5VSSs2aNUtduHCh2OVWr16tNmzYUOL2EhIS1LPPPqsSEhJKXPaHH34osP0ZM2YopZQKDg5WZ86cKXF9Q8yaNUtt3rzZpNu0RNKSERZn5cqVxMbGUr9+ferXr1/scr/88gvz5s0rcXtubm5s2bKFf//73w8cThW2bt06du3ahU6n486dO6xcuRKA5557jqZNmxryNh4qOjqajh07PtCHZIvkaQXCat29excnJ6eKLkOUQEJGCGFWcp2MEMKsJGSEEGYlISOEMCsJGSGEWUnICCHMSkJGCGFWEjJCCLOSkBFCmJWEjBDCrP4/Z8L49YXpK5QAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 266.667x400 with 1 Axes>"
       ]
@@ -377,19 +386,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 8,
+   "execution_count": null,
    "id": "2a5bc64c",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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pFRUVmDNnjmZLOBw2pB999NGorq7GRx99hC1bthjSxo0bhwMPPBAtLS1YsWKFIc3n8+H4448HALz22mvo6uoypB9++OEYMmQI1q9fj3Xr1hnSRo4cienTp6OzsxPLli1LuFZV5K5YsQItLS2GtOnTp2PkyJHYsmVLwlTPIUOG4PDDD0c4HMa//vWvhHqPP/54+Hw+vPfee9i9e7ch7Stf+QrGjx+PnTt34v333zekVVdX4+ijjwYAvPjii1AUxZB+zDHHoLKyEh988AG2bdtmSNtvv/1wwAEHoKmpCStXrjSkBQIBzJ8/HwCwdOlS9PT0GNKPPPJIDBo0CJ999hk2btxoSGtoaMC0adPQ3t6ON954w5AmyzJOOOEEAMDy5cvR2tpqSD/kkEMwYsQIfPHFF/j0008NacOGDcOMGTMQDAbxyiuvIJ4FCxbA6/XinXfewd69ew1pU6ZMwZgxY0x/mKitrcXMmTMBAM8//3xCvXPnzkV5eTnWrFmDxsZGQ9rEiRMxYcIE7N27F++8844hraysDMceeywA4JVXXkEwGDSkz5w5E7W1tfjkk0+wadMmQ9qYMWMwZcoUtLa2Yvny5YY0r9eLBQsWAABef/11dHR0GNJnzJiBYcOGYcOGDfj8888NaSNGjMAhhxyCnp4eLF26NOFaTzjhBMiyjJUrV6KpqcmQxs+IKPyMiMLPiD4G0mfE1772NUiShLfffhtffvklhBDaa/LkyRg5ciS2bt2a8HzX1dXhsMMOg6Iopvdmzpw5CAQCWLNmTcLzPWHCBIwfPx579uzB6tWrDWnl5eXa87106dKEz4gjjzwS1dXV+OSTTxKe7zFjxuCAAw7Avn37sGrVKkOaz+fDvHnzAABvvPEGuru7tTRJknDooYdiyJAh2LBhQ8LzXV9fj4MOOgidnZ148803DeUAaM/3ypUrsW/fPkPZgw46SOvDjz/+2FBu8ODBOPzwwxGJRLTPCDUNiH5G+P1+7TNCn8bPiCj8jIhi9hkR/z3oBJIQQjheax54//33ccwxxxg+TCdPnoz//u//xumnn27Ie8MNN+DGG29MqOPww4+A1xvVoSW+Eng9XoQjYYSCIcM/qyzL8Pt9EAB6umP/NH3JCAQCkCUJwWAQ4UgkmhwrX1JSghKvF5GIgt5gn/CTJAmyJMEfCACxegWEId3v90OWZYSCIYQjxg/SkpISlJSUQFEU9Pb0GtIkSUJpWWm03p4eCKWvXgEgEPDD4/EgFAohFAoZyno9XvgDfiiKQE9PN+IpKyuDJEno6elJ+GDy+Xzwer0IhyMIhYz/GLIsIxAIQAiB7m7jB0+03lJIkoTenl5EEuqNXms4HEZvbxC6WwNZllFaGr3Wzs4uAMJw70pLSyHLMnp7exEOhw1pJSUl8Pl8iEQi2oehmh7tw6gg7+7qQt+/jRSrNwBZ9iAUCiIY7OtDSZJQ4vXC5/dDURTDF5WaXl5eHq23pxtK7HlRCQRK4fV6Y/Ua+9Dj8aC0tAxCCHR1dWrnvR4PgOiXryzL6O7uRiSuXr/fD5/Ph1AoZPgBoq/eaD91dnZClmXIshx9RmUZVVVV8Hq96O3tRSQSMaSVlZWhrKwMkUgEXV1dWllZllFSUoLa2lrIsqx9KajlZFlGXV0d/H4/urq60Nvba6i3srIStbW1EEKgra0NHo8HXq8XHo8HJSUlGD16NLxeL5qamqAoCrxer/YaPnw4qqqq0NnZiY6ODng8Hng8Hq3vhw4dinA4nPDlCQBjx46FJEnYtWtXwr0bPHgwKisr0d7eji+//NKQVlpaiuHDh0MIgc2bNyfU29DQAK/Xiz179qCzs9OQVltbi5qaGnR1dSUMtnw+H0aOHAkg+kNT/P9cfX09/H4/mpqatB+TVKqrq1FXV4eenp4EoefxeDB69GgAwPbt2xM+B4YPH47S0lLs27cvQThVVFRgyJAhCIVC2L59e8K1jhs3DgCwc+fOhEHGkCFDUFFRgba2tgRRq/ahoigJAhIARo8eDY/Hg927dyd8OdbV1aG6uhqdnZ3Ys2ePIc3v96O+vh4AsHnzZsR/BY4cORI+nw9ffvkl2tvbDWk1NTWora017UOv14uGhgYAwLZt2xIGuyNGjEAgEEBLS0vCwLKyshKDBw9GMBhMGIBIkoSxY8cCAHbs2JHw/zp06FCUl5ejtbUVzc3NhrSysjIMGzYMkUgEW7duRTxjxoyBLMumz/egQYNQVVWFjo6OhMFWIBDAiBEjAEAb2AghEAwG0dPTg5qaGoTDYezatQv79u1DKBRCMBj9DPP5fPD5fOjo6MCePXu0z6BQKARFURAIBBAMBrF3714Eg0GEQiFEIhGEw2H4/f7Y510Xupt2IBJREI5EEIko2ndoMBxGd0/0sykcUaAoCiJKND0cjiAYCiEUjkAIBUIAioimCSGgKAKRSAQCiP5vCUCJPR+KokARCoQiIBDN20+GTySGfjygf586TUDSDQAlWYI6LhBCJJRTjxPS1Hpjz6Kh9Vg5SQIgAGFIiuaUZbXeqE3ROmPjF1nuK6s+s7qxjRyrXz/WUuv1xL6HFUWJlpWM9XpkOfa/oyTUq45F+sbBfXZ7Pd5YmxEIxdgXHo8HkixDCAVKRDEUlCUJHm+03kg4Yhh7S5IU+26XoUQihv9PbazhidobiRivVQLgLYmO/yOxsoqiYOvWbWhtbUVVVRWcoN+IrqamJgwZMgRtbW2at2vIkCF4+eWXcfDBBxvymnm6GhoacPIpp6CkpCSh7nRdlCq9GMsWql3py6ZMTl0+X9eEwr1P6oeO+hLa++jARBFKkvS+VySiaPnM0vvyRdLa6zSqYPN6vfB4vfB6vPD5SuDz++H3+VHi88Hv98Hn88Pv90WPfX5UlJfB7/drwlV9b3bs9/sRCARQWlqqCVKz936/P+FLnhA3CIfDaG9vR3t7O9ra2lL+7erqQnd3N7q6utCxfQO6e4Po7g2iqyeI7t7e2Pu+v5n+D/tKvPCVlMDvK4GvxAt/SQl8vhL4S0rg9fb9wOL1eOCR5b5z8e89Hni9ujyxH1i8Xq/hvUf7MUiCJKk/KkV/tIOknpcgSzIkWdYGpbIsQ5Jj5yVJy6cfuEbzJNapH3ADMI5AAZiu9kjymSBsf1YkWUmSqhqpr0z8fY0exwb5MEvrK68va1qPToSY1qMdp0pL0kZMwFgpl1BPXOdkVE9c++nrgfW8Vtq3abu1tDT3PYs27NUDk7S+e6a3L+FzyWIbPT09eOC3v6PoSsaJJ56I8847TwukcdFFFyVM+zGjra0N1dXVaNy5y7GOLSb6zQNAihozoacKskgkgkg4jFAohHDsV+9wONx3LhxGOBJGJBzpO9bOhREKhY1ltHIRXZ6+X+ODwSCCsR9neoO9CAZD0eNgL4K90ePe3l4Eg73o7Q0iFApGj3uDCIaCsTzB9BcdQ5IkBEpLUVpa2vc3UIrS0jLtXF11JcrKylBZWYmKigpUVlYaXvHn1GOzH5JI8aJ6elpaWtDc3Izm5mbtvf5c07q1aG7vQEtbJ9o6u9HR3Y22zm5096Z+LssCflSWBVBRVory0gBKfT6UBnwoC/hR6vehLBDQ3pcG/CgL+FFWGjAcq/l8vpKomIqJKl+JNyqsvF74AwH4Srwo8UZ/8YbcN8iXYr+Qa8jJjyU5zdL0+LI6MWF4D0DEHcenJxNBxvbS1GlWr41zpvWlIlX+VNeTopwlG9LdlzRtZE02dTtkl+17ZQc3607aZoH/MOhwn7S1tWFo/ShHRVe/WdMFAA8++CAuv/xyvPbaa9i2bRsee+yxfJtECLGIpPul2E0UG78ypPpNyqye+F8fg8Egurt70N3Tje6ubnR3d6Gnuyf6t6cbXZ1RT0J3T9Sb0NPTg+6uLnR1d6Onuxvdur+NO3ejq6sTnZ2d6OzoQEdHOzo7OhKmAsbj8/tRXlGB8vIKlJVXoCz2ftSwwaipqUl4qdMb9S+/32+904htenp6sGfPHu21e/du7f2uj9/D7uZ92LuvDXtbWtHU2o5gKGxaT1V5KWqrKlBXWYGaynLUVZVj3IhhqK4sQ1VZKSrKSlFVXorKslJUxv7qz1eUBuD1ehKFSgzJ7Hzc/6tpnoQy8SIqM8Flux23B6qZCg2r55wkQ8FlCZc/wwkpVvqVpytT6OkiZGDgpuACzP+XUrWpb0MxnE8sr+Y1ruICenuD6OyIThfr6OjQXp2xV3tHOzo72tEVE2udHR3oaG9De3sb2lpb0d7WivbY3/g1Yio+fwAVVVUor6xGeWUVyquqMGHkMNTV1WHQoEEYNGgQBg8erL1XX1VVVQN62qS6rqmxsdHw2vbBO9ixtwmNe77E7qZ9aOtMXLBdU1mOoXU1GFpThSG11RhSW42htVUYVFOF2opS1FZWoK5KFVcVqKkojwqmTEkhZqyIraT5UrURL9hsCq6UXq50goterozKFYWXK9v6C93TlQ8vF1DYni4X+oSeLkIIyQA7YgtIvx7OrXYzwefzwVc3CNW1dQCiwq9PqMXsiMlB7VhE3ysQ2rmIoqCrswP79rWirbUVra370Na6D22tbehoi4qy1tZ9aG9rRUdbGz7ZtA1t73+Atn0t6GhtQbA3MSCO7PGivKoa5dW1KKuqRaCyGkcdMCZBnA0ePBiDBw/GkCFDtGArxUBHRwe2bNmCTZs2YfPmzdi8eTM2ffQfbG3chcbde7G7qcUgZH0lJRg5dBDqh9Rh5JBBmD5pPIYPqo2Kq9oqDKmrwdDaagyproBPNy1UKBGz5oFk561gwWOUVEQ57N0CKLjSnnMSN71chUB/FlykqKHoIogFtSGkX+K04LLj5cqWTEWbLFkvK0lRASZJEsorKhEoq8TQESMREQKKEFCDPClCICIEQpHY+Vj9oYgCRQh0dXVjX3MT2vc1Y19LM9r2taC1pQUdrc3oaG1B+74WdOxrwUvL30FX2z50te1Db2e7iT0yfBXV8FXUoKSiBt7yanz9yAMwZMgQ7aUKNPW9z+fLrKPSoCgKtm3bhnXr1mH9+vVRUfXJGmze1ojN23fgy+Z9Wl5fSQnGjByGMSNHYNoB++NrxxyJUUMHoX7YYIwcUof6QbUYVFMFSVO+iYLJIK70kcRiIiJBfNmZameRlAIqE+8WkFvBFU+2gssKmf5IYKMtR71cblIkP5gQkg8ouggh/ZJceJmKDVVgqciQNC+YVTyyBChAJFaReuwvLcWQ+pEYNLweEQGEYpEuQ7EbEYwoCIajLwAIhhX09AZjwqwF7fua0dHSjK7WZnTsa0ZXWwt62lrQ074Pjz37KoId+xDqaIWIJK5hk31l8ASqIAeqIPsr8K3jDkop0ioqKgyhm/fu3Yt169Zp4uqzD9dg/cYvsGHTZvTGAk94vV6MGTkCY0bVY9pXJuGU4+Zi3KgRGDtyBMaOHIYRQ+og6yNmKUqfsIr9FZFI3w2QPQnCS5I9fcJKlg3CS02P1p2Fh8uE9NMCMxRbQO4Fl9NCNIMpVZa9XKbtFa6XyzHvDb1AxUchTy0sIii6CCH9jkwFVy69XMW+nNYjQfN2qceK4Tgq6GRJ0vY68sgSPLKESCxjSUkJquoGo6xmEGpGKjphFkFvWEFEEegORhAOR7cfCIciCHZ2Iti+D72tzehtb0GwoxWhjn3RV1crIl2tePzZ1xHpboPS2wERTpz2CElGSUUdJowagsYdjWhtje5pJkkSRjeMwoRxY3DMUUfggnPOxMTxYzBh3BiMHjEEJR6dEBICEAokoQDqCzAKKRNhZSamjKbFCS8gqfgCMhdgmQgty2UBc/GTa8HVT6YV0stlgwKYWugqxWBjrimiPqHoIgA4xZD0D7Lxbjktggrd0xbv9VLxyAAU/Y7j0SmGsiRp3q1kyDGhpQowWZYQifQJrogiEv4mth8VZl59PlmCpEjweGSUlJbD4y9DSfUwBIIRKBGBcDCiibJIWEEk2A0lFEQk2I1QdzvCHU0Id7Ug1NEEpacDSncz6vY7AHOmVGDkiBGYuN84TBg/DuPHNiDg80FSwuaiSjGPGhjtULlPeCEqEIQqlmLiS/J4ot4uVXiZiTLECS8gqfhS8zpKtmILSOvdAvqn4HKDQgiekZEdAxj2FUkGRRchpOjJVuBYEVxuiqhkkQuzJZmwyhSPFP15Ri8TZEkCZECJiStZlqAoQhNpeg+YXmip4sojSwjHxJVHqEJLhkeO844BkGR1g9lo/bIc3XxU9kYHOUIREIqAEhuAS7IHcokfnrJawBuAFKhFqLsD6N6HITPPwV0/PzoqhpSwTlgl90IlJU5w2cKq8AJSiq+sSCMeMhZbJnUniC2zcvkWXFYwsamgg2e4jVUBWuzXSUgWUHQRQooWJ4RQtoKrwB1appgF2tBPA0xH/LoutXy8J0w/xRAAIhAJUwxVrxYAeJRomqGd2N+omIuO2WQhQchSVIQpUtRxhJgokyXIXh+EEoFQIpBlD0SJD0o4CNnri6b5K6GE7QsXIcnRMaMqeqToKi4pleBSRVUyb1cKkgfQ0A1cMxFgFgbItj1oTkwnNDmXF8Hl5jqufAXPGAhermKxs9jgei7H4BNKNPhvRYoBRfS9ssWtdVWFPrUwnky/Uz1S8mP1vZxEROn/mtatE2NAVFCp9UlSVFx5PHL0WO4TXFLMAybJnqinyxuNbKj+9ZT4IMkehEOR7NyAyTpNJwLSCwY5oYxpU7FrSVqH3VembZm2b7KZskk7lqYT5lpwmZGPaYUDRSwU8nUWsm0qxWBjrimyPikuawkhAxanhJaKVcHV37xc8cgpfm7xSBJkSYqu8wI0j1VCHbrzZu8NYixOhKkv/XH0vWxIV71dUkxkAUahJckxW71y7LxHe3m8PkgeD2RviSbEwiFnIwDGDDI/r4oDddqjlSl2ptXbFEQW0PdT1mILMBVbdtdvRe3KgeByaB1XwQfPcNvLVQgBNAqEovEKkrzA6YWEkILFLY+RE4IrF+1bQV23lWp6oD40vJV1XmowDbP61HVdkCVtHVe0jJSwrkvNn2qKoT5wBmCcYqgF1FDza9MJY9MN0ecB83glCEWCJKIizOP1QijRaYbxwkLyeDT7HMPmui7TaYZJ1nclNmUUHHYiGDoi2iyILcCl9VtmdWSyRqsQBFcSHB24F8rUMNdD4VPskMKHoosQUjDkYlqeU4InWS35nlpoJxJptoE2ZDWwhjAeJ6wXSxHFUCVZQA01zEiqgBoer4xIWIl6u2KiTIn0eXFkrw9SOAi5JCrCPEoEkWB3tA/ihFLK9VmWO6ZPPGlRDOPWdsV1kFF4AZbEl2azC5skm+Kk2DI555bgciRSoQlZ7cdlN68b9dDLFYWCLTmFItr7CXzSiAH+e5FcoV+b5fTUwWTYEVz5Fk/5INn0wUzr8UippxjGTy80w3SKoRSdYtg33bBvvRcAyF4ZskeGx+uNTm9TpxjqvF1KKOjItQIZeCbMphnGD15zJaTSoU4jdNq7VSiCyyrZiItCnFZIHMfVqYUUhv0C3kVCiKuYiatcCxohhKOCy0kvl8PBvzVS6BjT9FTjM6vruvTiyRBAI1ZGliTtvdnaLq8qriSj0PLqRFrfdELZsJZLliXIHikquGLHQDSAhubtkj2QS3yQvSVQwg6JLguDek1QmK1dSie88iW+UrWdJFCG6dotJ9ZvmZVzSnD112mF6cill4tTC4kbFOF9Lz6LCSF5J5mQyre4MsPudMJCsLlQ0IskPdEAG7FQ7nHpSUVZiiiG6ntbATXSeLu0IBuxNVzx3i6roivl4DP+WvV504klfZTDVMJLzZsL8ZXKqwVYF1tqXWnOSbJsLWBGfxNcuZhWSC+XNYpw4E6KF67pIgnYWRNCnIeDfudwIyR8tjVmYlM212Fl3ZY+0IaKRwYiFt1wHgnQxdSITSWM1qm+12+UrHqy1LVdALT3KQNqqGvB5GhFsixBKFGB5fHI0c2RTTZLFl4fRCRiWNsVycbTZWGPrXgS1nYBxrVfamANtX4gsQ29+LCx5ispVoRcClGUqdgCMvRuRQumPkaBCK5kODWtMBv6k5eLuAeFu+NQdBGSByis3CVTkZLNfXFm37Ds67BCtgE0kiFLEiAjbRRDRZhvkhwfWEMfUMMj9+XzyNHNkYWQIMkCiOg8WyabJWveLiXq7RJKJLqmSw2akS54hi4yoZBk02AbhvPpIhlaEV7RDoz+NRN4ZoIkmRDLxEvmhNhKcr5fCa5kuLmOK0Vd0bQBNFguEFHH9VzEChRdhOQAiqzckI1HyMo9KubbaObNAhIFWLLQ81FBJRBR9FMIE0PHa3l1UQxVD5c+iiEAg/DSTx/UohgqyaYcGsPHezwyIlBsebtMhUMq1IGPmZhKJrLiIhVq3q74tFTCC0gtvuLbywa7QitVu5mKLbOyFgWMY4LLDtl6vpxqU0tLc330cvVR6PaR5BTpvStOqwkpEgplXdNAIJ+Cy417nI/nxmy8lmxdV2Ie8/Px79V8+oAa8cJKnWIYjzcuX6rNkq2s7XKFNIOBpMIjbo2XuTdJNl1XlTH6+pLUmdQWIHmgjGIXXDlcx1VI0wqLjv52PaTfQ08XMYXrujKHIiu3ZLtuK5f3K95WtyIXWiW2NCr6Pst1XX112ptiGL9nV4K3K26KoVPeLo8Ta6IAg6vQdIphqg2P49PiPWMxsZPg+QKcE14mpPUCOj2VMFmdFkSNdTGUA8GVjCKZVjigvFwOklPhTIoaii5CHIJiK7c4ESTD6j3LtZerGMhmiiEU4UhADcNmyWnWdskeGYAXQomu6crZhsImJJ1maHaMNOLLKZsyFVpJ0iyLrWR1F6Pgyuc6LjfL9keKpT/yZedAWheYQyi6CHGAgTrwzgdORSR0QnD1F6ys69KmGMbWdcWjiqw47dXn+VKEJtTMAmoAMIgvq94uj1dGJKxY8nYpEWgh42WvD7GELHpOh35dl/o+hbcrrfACkoovIHsBZnlNm02xBbjv3QKKRHDlkoHm5cp3f5P8UcT33pblu3fvxjnnnIOvf/3r6OzsxAUXXICmpia3bCOk4OGardxhd4PjVDh1zwr13qvDr1QbJCcboyVb12UHdaNkK3t2AUhY06W+t7JZspo/3dou2StD9sjweL2QS5Ks6bITBt6B6X0GcWIxGIVWNrbWKtNXStLu15V83RYFV/rzOZ9W6ETwDGIK+47YwdbTcs0112DevHkoLy9HeXk5Lr/8clx77bVu2UbyDJ3LqSnUAXd/w0mxBdi7b07eYjf2DIsnmcjJ5kdwT4pvCTXIhrpRsml5yRhEI1VAjb42pYS/qTZL9nhlTWB5PLK2b5csS5A9UlRwSX2BN2SvD3KJD/CUZN4xenQdLPqUn/GvFa9QqsAUbk+HtCq0nBBbxSi4kpFvweVmWT39yctFoUTyhK0nr6GhARdccAEqKioAAAcddBBqa2tdMYyQQoaCy11UoeW0UHFScGX7DMT7VHKxR5ds8lOKXiuZpSfml5IKMX0Uw3gBqPduqUJLloyiykxkWfV26SMZ9okrWWtbPZY08eWBkqHoyvjXbavT8TIQPrbtiH+ly2uCLbGl1pVYSeIg2OSckGTzCIW5ElyFGqkwF9MKSX7geq5+h601XV9++SUAQIrdkPb2dmzYsMF5qwgpYCi43MMtb5Dde8ZbnLiuSxVIERv3yCNLMXWZPqBGBMYNk/XCy24kw+hyKgmyEvWCAQoUpe84utbLF63Lbsek2vg4lqZFMYxf25WyWt0aLyDpuq6EdDdIU7ctoZWqvnx5t4DiEVwuTiu0TCF5ubKlGGwkySny+2dLdB1//PGYPHkyenp6sGDBAqxevRoPPvigW7YRUnBQcDmP29PuCmEPrVxMLcwWfTCN+MAaqULHx0cxVEVWJgE1om3FRSdUhOVIhkKWAMhQlAhkET2WRCy/V4JQJHggayHkw4qATzXQqYAa6UgRQl4VM6biC0guwJywKQ22hVaqerON8ldkgitjXBZcjgbPyBUFNOiml5DYxZboWrRoEaZNm4ZXX30VAHDfffdh4sSJrhhGCgPu19UHBZez5EKIZHLPBtJtjhdXVokKKPMohon5AChGD5mb3i4oIurNUhSDtysSVuDxyggHI1oI+ZBdnRXvsZLlvuAbyTrTzNuVau8umHi9tPbiREwmIsymh8x1sZXkvD0RVNiCK+fruCzguGCgACEkLbZE15YtW7B3715cdtllAIAVK1ZQdJEBAQWXM+TK45Pp/bJSrBCfhUzFk0qyTZKdmGKoEl3rZawbSPR26TdLTuft8nmjg/uuYMTg7VKUmGdLSIBXhiJEdNphXAj5sBs3M36KoUlatAPSC6+onSmUoQtTDDMSWSqp7HHDuwVktX4raVup2rNJXtZx5XpaYa4YSAE0uJ6rX2Lrri5ZsgRvvvmmdrxixQr813/9l+NGEVJIFOIgu5hwKyhGMgpNcJlddzoHi5PPnBq/QttmK8O4pHaiGMYH1NBHJowPFy/LkiGSYbKgGsnCyntkCX5vNKKhzxuNXAjE1nTFKvZ45LggGtGgGpFc/XPrB1D69xan9dkOWGGTrNtIFYwjabALc4+TremEuRZc/WQdF71c2cOphXmgH/S5rSs44IADcN1112nH11xzDdrb2x03ihBS3ORaaAHZ7ZnWH3V1JtJKP55LN7ZLFcUwaX6T8PFWIxnG79vli3ms4kPI+7yyaQh5WYpOM5Q9sb+SFF13ZnUtl0k0vcQ8kiGvtTUz1r1VenGUiUCKL5+1mMtUbNkJluHCdMKk7altWrUjWf5U9acjG8FlAct2FZqXi5B+gK3/qt7e3oRzPT09jhmTDYsXL8bw4cO115IlS/JtUr9hIDub6eWyTj6Elko298lqUTefhXzG2TDdDFn3X58Q+l0nlOJJ5u1KqD+Ntwsw92gZjm2GkJdjXjBZPeeVEcrlP3gybxeQ8TTBZCLKcXEVj8Niy5XphIA9wWXDI5cuzRXBlYvyKnaelVx5Hwqlb3JBMdlKbGFrTdfgwYNx6qmnYtasWQCAt956C9OnT3fDrozYtWtXvk0g/QgKrvTkOypftvfIbcGV7/6xg35dVzLMohiq5+LXfxnr7guoER8+Xv1ZJ1kkQxV1jZdXd85KCHk1qAYg4PFEIxdGQ8tbX5uWsD7LsDZLF0xDj9naLn25hKAcaULE55t0wtApT5ATYgvIPmBGqvMp0lwTXIU4rXCA0m/7keu5XMeW6Lrxxhvx0EMP4aWXXgIAnHbaaVi8eLEbdmXET3/6UwSDQQghcO2112Lo0KGm+Xp7ew1eu7a2tlyZSEjRUyhCIleCy2lyFJg8Y1KFjtejeqSSCS39Hl2pwsdr55JEMlTXXekFlRbJ0EIIeTWoBiAjAgUebU6kkjb6YkaYdJpl4QUUlvjKVGilSXNVcLm9fitFWr8QXPRykUKkn9xDW6JLkiRccMEFuOCCC7Rzq1atwhFHHOG4YXZZuHAhZs6cieHDh+OZZ57B/PnzsXr1ani9iZd4880348Ybb8yDlaRYoJfLSKEILcCZe2OnimJ7FlJ5nFQ9oI9QmEmdydrQ79kV32/x3i41kqEdb5d67NULr5i3S41kCAC9YUVb8xUOKxBCgiQLyHHRDDOJwqjHNEKhHjNRFX9eHUwUiviyMtWxEMUWMDAFl5MUouAipB8hCRujKSEEnn76aaxbtw6RSPSL4IUXXsDKlStdMzBTqqqqsGzZMhxyyCEJaWaeroaGBjTu3IWqqqpcmllUFNnYMyuKbaDtBoUktADn7kmuBFey/jMbosdnjW9XX1eyIb6+DlUQ6atR61TzxYsuIczzaO91DUSU6LEqWhTRt2eXel4R0SmB0WNdmu6cIoTm7QopsXKK0NZaRYRAMKwgokT/AkAwrGjnwrHzxnwR9OrKBMMKImEFQghEwgrCIQVCEYhEFPzPhYfjwLLYumShAIoSFVFCiXaCTghp59W8sfea6IqfYqj2V3wdhjxpjuNxWoDZWUuWVhwUntjKrG37Qiyr6WbZBs6glys3dcRwfWphPsVsIU8vzEO/tLW1YWj9KLS2tjqmDWx5uq644gooioL3338fCxYswNatW1FaWuqIIdmybt06w55hPp8P3d3dpnn9fj/8fn+uTCNFxkAXXIUmtoDiE1x2KKTuNlvXlW6KYby3SO/tQtwUw2TeLn05vbcLME4rNNsw2eeVEQwrlqYZqtEMI1AgKxJC8fMe3UDn1Uq5Nkw9BpKLr1QiyUyQZbuPVxZCC8hwD6x8ebdSpeVDcDlUvqgFlxMUk635pJAFVz/C1tNYUlKC+++/H0cccQR+8Ytf4P/+7/9w+OGHu2WbLc4991zt/dq1ayHLMqZNm5ZHiwgpHvIZeTAV2YSB1yOQW8Flx8uVaV1WyPRr1DSioe6kR06MamgnfLyhXlUsSX3H+nDyZhEMk0UsBKIbJvu8smHvLq9XjkYw9MiGaIahVBsPZ4sh/n5f5yQMglNF0rMzYFQjCupfdtG3m06cpJhmlzIiYSrvlt21W/1ZcBXqOq5cQsFEgH71HNjydKlTCvft24fu7m6Ulpbiww8/dMUwu0yePBlnn302hg0bhvXr1+Nvf/sbKisr820WKTIGmper0ESWipP3oTCvMDm5egbj13WZebSsrP0yC6hh19ulBtXQyslAJOaF0gsvALH1W0bvFgB4FEl33jyaIRQBj1drPLtAGvHRCZNFMTTB1OMFJF//pRV0UCTaHchk6tVKVzaTX9jtiq1UNji9Ps0KORBcrlFMA2CHbe3XUwtJTrAlulpaWvDEE09g/vz5GDt2LEpLSzFz5ky3bLPFww8/nG8TCCkaBoLYAjITXG55uQqFVNMFgb4phlaiGMYH1DALKa/PGy+8lLjpfWpQjYjoC7ChD6qhThm0Ms1QDayhD6oRBBAJK1oY+d6Ibo2WFcGULDBG0vz6TjSWNQ3CkW56YS4HZRbbKgSxldKOjO0rbsFV9NMKKUBIP8SS6DrvvPNw//334w9/+IN2br/99kNzczO+9rWvuWYcKSyiQ6b+y0DwchWqIHCj7/MhuFLW7V7VlrCyD5dpubh1V31rrfoElhVvV8SkcVWI6b1dWn0yDCHkISdGMlSFVnw0Q5V0YeTNbHKcNMILMAmwkU58uYVTA3qnxRbgrHcrVVo2Hr105ChSYdFPKyxA+u3eXADXc+UQS0/RoEGDUFlZicsvv1w7d9RRR+Gkk07CY4895ppxhBBnKMT1WoBza7b02F2/pbcl1zh5S/Tfm/HrrTKpw2qa1bVdHlmKrdPqKxd/DoBhPZccS4+eN67nUuvU1m2p7z2yLl1Oub4rFHfTU4Z/N2Q0XqQ2IEs2iE2yviuhvFk7mazvSkd8vRbqT7lWK75O03Sba7ZUMl27lWlaElJeuxWcEFxOruOyS7F5ufqzSBpI9LP7aMnTtW7dOjz00EP47LPP8Mc//tGQ9vjjj+O8885zxThCckV/9XIVotAC3OvvTKt1LDpigfZ3MpKt2TKbYtiXlpm3K10f6zdMTjfNMNp2nwdLPdbSdOu7AOP6Lv3+Xcn2M7OM3emGKcol9XrFl8sRlgfvbnlvMplKmM6efEwnTNcukB/BVajTCgcq7OMBgSXRdd111+GPf/wjtm/fjtdee82Q1tjY6IphhJDMKdTBv5viNt+CK2Ub7jeRFLNpwenWdcWTLqCGlbVdsgRbQTUA4zRDqLEYZbWNxE2TgfTru9S8EVlCKKLA4oQP6yQLqBHf6UmmEOoHzpY9bw5ga8Du5jS5AhJbadtMh5WyhS64ck0Bern69dRCklMsia5Zs2Zh1qxZ+Otf/4pvfOMbhrSnn37aFcNIYdLf13X1Bwaa4MqmWkejJBZov9tF1Qap9uzKxNsVv5+XIV0nvNQ2VQ9XNJMxmqF+fZfq7TJb3+WDjCD6hJbfKxsCa9jZpss08IWNdADmajfF+q34wZ4TIiyjAaRlr1eBia106fn0bgGOCS5b2BVcFBz9G67nyim2ohcuWbIEe/bswSWXXKKdO+OMMxw3ipBc0l+mFhbqoL8QvVtA7gRXsmGyWRG3n0UzIZXOi6UJLRverqiQEgZvl0cNmhHn7TKrJ36aIQAoUmwzZSEMYeT1Xi1VfCHc17AaWMPn9SAYjmh7e/m8MsJmni67wsZsimGq8PHqIMeG+NJMK8R1NdkO2jIVW0Bhercs1B/N45zgci1wRq4FVwF6uXJCMdqcC/phv9i6oqlTpxoEFwDs3bvXUYMIIfYpRMHlRpAMlUyDZaj0F6GdDZmOlbWttOI2S9bem1ScGGwjdVANORZEI1pfLI9u02S1jmSBNdSohfGBNdSNk736qYmZiCz9Xx2GwW+6AW6yG+B00Awr2AyqoQXFyNazlSJARlrvViaBMtT0FPRbwWWXfjjgzQROLSROYutpOvPMM/Hiiy8iFApp5375y186bhQhxBqFGJXQTbEFZD+91fFoiQXW/07QJ6zijpF6sKgXV1EhZUzzSBLkuCqsCC99NEN9dMN44aX3dsULL3VKoSq8/F7Z1vRCV0glXOwKIUvtmdRpVSQ4KbTcEFtqeoZls45OmK59wHr/uSG4CnkdFzBwvVz5hFMLc46t6YWql0uK3SghBCRJwr333uu8ZYTkgGL2eBTaYN/tvnSi+lzfbztTC51GP91PvxYzkymG8VhZ2xUxOa+m6acZWokgGL++K37/rr5IhX3En9NHNFQDa4SU2PRCKxsjp0I3xdCwtivVNEND+SRTDs3ayQVOD8bSDPizmkboQHrBeLes1gWXBVcxTissVgbytQ9AbN3tk08+GYqiIBKJIBKJQFEU/OQnP3HLNlKg8LeR/EPBZR9XNmAusPvg5Fg5W29X1Kslmaap2J1maGX/rmQeL59XhkeSDB4vJduHwsqAyVZobge8SZnglCdLTxqvFuCQZ6vQvVsABVcucMFuTi3MI/207215uv75z38mnItf45WM119/HWvXrsXevXtRW1uLCRMmYMGCBfD5fHZMIGRAU2iD/Fx4jgptOqFKunth13diZqfb99tu6HizsmberlRBNcz27pJj3q90YeRTBdYw83ZFbdINeDVPV/Svo9MLk3m7AOseL0N9JgP1bJ6HXAg5CwN8SwPZQvdsWbUDcHQ6IdAPBVc/HVwTYoYt0fXGG28knLvnnnvw17/+NWmZlStX4rzzzkNFRQVGjx6NyspKfPrpp3jmmWdwySWX4Pbbb8dZZ51l33JCsqTYphYWkuAqBrEFFOY9LqDbaCDVFMP4zZLVvGaiLZNphhFtXy5YFl4lWoWphVfCOZ3w0k9ttBWO3SxiYRyOCK+EdgtwnoHFgX3WUwit5LFQhyOCKw/eLaAfCi6nKFYvVz77vBA/SwYAtkTX2WefjYkTJ0IIgVAohE8//RSTJk1Kmn/jxo144IEH8Prrr2P48OEJ6Z2dnfjVr36FqqoqnHTSSfatJ2SAQMFlH1eDeTjs5coFydZ1pfJ2WfWExW+OrD+XbO+uvjTz9V1WhJesXUh64RVRRN/52LFdTPfi0guwODFmKryA7MVXvnFKaAHFJbYstlV0gitfFLPQIyQDbImuW2+9Feecc4523N3djVtuuSVp/srKSjzyyCOQk3wAlJeX46abbsKOHTvsmEHIgKJQBFexiC0gv4KrkDATQynzZ+HtymSaYV8aNOGl378rrfCSZYSiag1WphrGn0+2YXNWpBNeQPGJLxuD+JwJLYt5ciq2gPyu3wIyE1zFPK2Qwq3/0Y/vqa0r0wsuACgtLcW2bduS5h86dGhSwQUAn3/+OQCgvr7ejhmkAKBjOjcUygCfgstG+ynSCuR22iLTWShme3clCyPfV8YYWMPsfHxwjRJZTtzDS+oLopEquAYAc+Fj5UbpBwaZriFKE2giL+gDYFiwTw1GYTkohhWvlQN5HAmSYdUewF44+IEuuAqcfj+1kOQNW56u7373u9p7RVGwc+dO+P1+S2UVRcFrr72GnTt3Qol9yT322GN4+eWX7ZhAiCPke2BuhUIQXBRbRty6J7l6Hq1MMTTzdvV5s6x7u4CY8FL6PFBm67viA2t44jxe2lRE3Xkzj5ciCdM1XoZphTHU8wlTDO1ulJwMkzVfph4vFf1gOZferwwFn+VBqZP53BIqDrSZ9+mEQHEJLnq58gvXc+UNW6Jr27ZtOPfccwEAsixj+PDhOPbYYy2VXbhwIVpbW7Hffvtp+3w1NjbaNJeQgQEFlz0KRXAVwmSxbCISZtJOOuEFmK/vclx4xYJryEIgFEFfe3Limi6PLEWjFzr54MQLrSTCC0gTtCPZ4NmuGHPIg2Z78J8PQYYCF1t26gQFVz5hmHjiJrZE13333YcDDjggo4b27duH5cuXG869+OKLGdVFSH9mIAguJ6svFsGVr9uaal1XNt4uQz021ne5LbyijUY1ihYSPjaO0osvdb8uwF7kQoPHKl0UwyTplsRXPDmahpjRoLM/CC0b7RaM2AKKS3A5STFfQzHb7jb9vG9sXd327dvxt7/9DQBw++234xvf+AbWrFljqeycOXOwceNGw7kNGzbYaZ4Q4jKKKB7BlQtbgcIQwU7ixMSS+A2T06Gu49JvjqytvzJZ46XWb7Z5sp0NlPXHPo+csK7LccwGDCnW8FheD+UC8W3bskG/Psvq+iurUwgtBsdw3LPlxlRCt71bxSa4CnxATS8XcRtbT9jvf/97TJ06Fe+88w5+97vf4bzzzsPNN99sqexhhx2Ggw8+GCNHjsT48eMxbtw4/OxnP8vIaEKyoZDXc+VzgJ8LsVVM0wntkI2XK9m15ONZ0I8nZRN5ZkiPE15qfkknkPTohZc+sIY+TZ+eTHhpeWwKLwDweWT4vLImuhyZXhg/UEs2cLMhJrIRY8nqyLjOeIFlRzw5mNcVcWpXbLmwdgvI0XRCoP8ILoqjzOF6rrxia3rhhAkTsP/+++Oaa67BlVdeiYULFyZMGUzGddddh7///e8YP348JEmCEAI33HBDJjaTAkG/KJ9kT38XXE6RS8HVX7xcVqcYWsFszZidwBrqVEMgGrK9b9qg+VTDPiOjx+nCyQMAlOg0RllIUCQBWQgoChBSEtd5uUKyaYf6waLNKY05IdN27Io4i7h23bbsdWcqIZDD6YQAhUoaCv5/bCAwAPrGlujauHEjnn76afzpT3/C2rVroSgKtm/fbqns1KlTMW/ePMM5eroIiULBZY1CFFyFuJYrXTCNVD+YpFvbpc9jtibMrvBSSSa8osIMBuEVPW8UXqotEQHzdV4yUIK+dV4ej4SILPrWVWW6rgswF1lW1ntpFeY4BEu2gxu3gmvA5cFvgYgtYIAJLnq5CAFgU3RdfvnluPXWW/HLX/4SQ4YMwY9+9CNMnjzZUtnRo0fj/PPPx8yZM7Uw8wwZT0h+cXUTYQfryvV0QqcEV9ryBeJIS+XtSrVhcrKydoSXteAaACB0wit6rAov2ROrP12ADRkJGyk7RjLhBaQXVakGklYFWSF4hTIsUzBCC7A//YrerdzZUAjXU8xwamHekUSOfmIfOXIkvvrVrxrOvfPOO/j4449z0XxK2traUF1djcadu1BVVZVvc4qKAhkzWqZQBrl68uHloncrOU4KrnRVpbq2ZHZYFXpmxeOnGMZn0dujz5pMdBnyiOTl1HPx7aviSj2v7uOlCKGlxaer7UQUEc0njPnU89H80XOKYjyOxM5FBPDd8bGBiObx0ndC8t5OGnkwlUjKtUfLDtkMaHPl6bGK20IrgzYyvl4KLvfqizFgphYWuujKd//E0dbWhqH1o9Da2uqYNrDl6cqGn/70p7jssssM55599tlcNU9IQULBlZpCFVwDATvTDIHEjZP15ex4vNR1XpBjQilhKqJxnVe03USvV3S9VqLXK36tV8pNi1OQtFyqaYX5nFIY336O68jJwLYAxRaQY+8WUBiD1yIRXKRAGCD3N2dXud9+++Gmm27Sju+66y7MmTMnV80TQkDBlQo7gitfXi47WBlPxmdJFUXdLJphfDtmoeStRDX0yLpw8BYiG6rRDdUQ8GoUQ31oefV8iRx9eT2yaYRDyGnWXqUg6WDabtQ+u9EB7dTldL0WyVk4fLu2qVEI7a7ZyqAPM772YhdcTuPiNTFMPMklOXva7r77boPImjFjBn74wx/mqnniEgXurC5ocu1VcXv9VrHtv6XHacFVqMQLnnTEZ7crvFKFk08XUt4TyxMVUMZr0IeVV8VX3/m+fCWxvbnU83rxpR67uhYqm2iAdl5O2eqQwHJ9IJvJtdsVWvp2bJKV2MpmOmGhCIhCsaOQyHefFPrUwgGCrafg1FNPRXNzc0YNHXTQQZg1a5Z2PHv2bNTW1mZUFyHFTn8TXE6RjzV3bgiuYpqlmM7blY3w0p/XCy8re3nFe71Uj1hfG0avV4nH6N2KF18lHtlUfGU7GEo7uHZSHGWDQ6It5wILyNzeHHq1gDyJLSD/z5aeIppWSC8XyTW21nSFw2Hccccd2LNnD6ZPn47TTjsNo0aNslR2+/btCIVCKCkpAQAEg0E0Njbat5iQDCnEIBq5gIIrOfkSXLm6VrPQ8WZ7dsWHkI+PSBhfj501XvrzqvCKX+cF9AXLUIWVWVj5aMXJ1noBWoTDaCPaVSVb7+WR4kRXhmrZ8rows0Fetmu7+uOgNJt2M/1FPx9r1bIRWkBhiS2gqAQXKSAG0H22JbqefPJJVFRUAACWLl2K+fPno7q6Gu+8807asqeffjrGjh2Lgw46CADwwQcf4N57783AZEKKm1x6uSi4ksOgGanJRngBfft4AX0BNrTzugAbfXkTg2xECycZRCcRXx4pFgVRluCBhIgiUgbbELLXkWnS6uDbdlCOPA84CuLX/nyIrCzbzbrfKLjySk6f+3z3DacWFgy2RFdzczMeeugh/P3vf8eaNWvw1a9+FaeffrqlsmeccQamTZuGV155BUB0jdfEiRNtGxwKhXDXXXfhxhtvxKpVqzBlyhQAwL59+7BkyRJUVVVhx44d+NGPfsRAHYS4hJPrt/KBXcGVSy+X02IwU29XNF9mwis+rxWvl1ofAEfFV1RgIWmkQ4Pyc4CMxZeLFISw0pMvkZVl23kXWkD+B/BmuGFTIV4nIVliS3QdffTRCAaDuP3223HmmWfC5/OlzL9q1SpUVVXhK1/5CgBg4sSJCUJr3759eOONN7Bw4UJLNvz+97/H7Nmz0dXVZTh//fXX4+CDD8a1116LxsZGHHbYYfjiiy8QCARsXCEh7tIfvFwUXMnqtW9LPsmH8ALMvV5A6imHQGbiq+8a+8SXBxJk3V5eudr7xw0RVnBiyoxsbcyjyFKh2EpBEQquAeXlIgWFLdG1detWvPPOO3j22Wdx+eWX48ADD8Rpp52G0aNHm+Y/9NBDsWjRIsyYMQPHH388Ro8ejfLycvT09GDXrl1Yvnw5/vrXv+Lxxx+3bEP8Xl8qjz32GN566y0A0Y2Y6+vr8dJLL+G0005LyNvb24ve3l7tuK2tzXL7JBGzgRpJhIKrj/4muCzXVwT/KJkKL8B8E+V4R1K810tN0+qQRN+5LMVXtD1Jtw+Y3vslxdZ2ISeKuSgEUjY4dX1OTIUqBKEFOCO2gMIduBeqXaR4GGDPkK2rXb58OQ4//HB8//vfx8EHH4z7778fkydPTprf6/XiqaeegtfrxeLFi1FfX4+amhoMGzYMJ554IjZs2ICnnnoKw4YNy+oimpub0dbWhuHDh2vnhg0bhk2bNpnmv/nmm1FdXa29GhoasmqfkEKCgsscNwVXoXu5ko1jk4WQNztrFtXQamTD+PxqqHfTNEiQIRkCzyULMa/f36tEluGJ/Y1GLDRGPEzMF82TdHBdQNMDCwonw9brb3ImId2T2ZQBjkVkVCMROuXdKtRBqVt29ScvVyHA9VwFhS1P1+WXX46ysjKsW7cOJ510Em677TYsWLAgdQNeL6699lpce+21CIVC+PLLL1FTU4PS0tKsDM+G6667DldddZV23NbWRuHVz8m3hyFXXi4KLnMKQXBZuXY3nxOztV2A+TRDwJrHy6zeVF4vNT9gDLQBpJ92qK87mt8Y7TB6Mk6YSVLMs9WXP376YcEOavOJ41HoHBz4OWibowNwp7xaQOE/kxRc1ij0+0hyji3R5ff78ctf/hLHHHMMPB6P7cZKSkowYsQI2+XSUVdXh8rKSuzatQuDBw8GAOzevRtjx441ze/3++H3+x23g5B8QsFlTiEIrkLHrvACEqcbApmLr/h6DXt+CZ3QkvrqSiXAolELjdeWTICJgfpLsCtrcRzuS4dtdHzQPZCElkqRCi5CCgFbouuvf/0r6uvrtSAWZWVlrhiVCeeeey6ef/55TJkyBY2NjWhsbMQJJ5yQb7MIKerQ5MUsuDLpd7cEV749rSrJvF1AauEFuC++1HJWvF+AdQEG9IkwvQCLXkOSzugPUwtdGxy7IFJdsNUVr4aTIkulWMSGm3bmoA8G3LRCoPCnFg7Ae2LriiORCObMmYOKigpUVlZi7ty52LZtm1u2mbJ8+XJ8//vfBwDcdNNNeOqppwAAv/rVr/Cf//wHF110ES666CI8/vjjjFxIBgxuDOopuJzB6vXnSpyn+h5OtsYLMF/nFS1jfb2X+kplm9naL9lk6Y++Pv15jyxp67cMIeRj67tKPNG1XOr6roRuLxbBlWxtVbbrgMzWWWW75iqdzVkSvx7L8WmDTq3RUnHw2nNCkQuuvNBfr4tkhSRsfNOfddZZ+PrXv47Zs2cDAN544w387W9/w5///GfXDMwFbW1tqK6uRuPOXaiqqsq3OUVJgfyQn5R8ehrcHkxTcBnJheByw8tlxW4n5UC65sy8XlrZlOXstZfMA5aufHw7Cem6evVp8dc1sS6AkradsYwFJriKyVsFFL/Hwg1PlkqxDsL7geDKi5erEO43PV1Z0dbWhqH1o9Da2uqYNrA1vXD06NFYtGiRdvzNb34Tq1atSllm8eLFOOKIIzBnzhwceOCB2vnXXnsNY8eOxbhx42yaTAoRho03pxinFlJwpWvDRt0FfPtTTTUEkk83BJJPOYyW63tvNvUQMJ9+CKQWYImeMyPx99EDqa8ddSok+qYWqmmKEPkVW8WwtspQd5ELKz1uiiyg4AeVKSlm2/NNIfRdoQuuAYot0bV9+3aEQiGUlJQAAILBIHbs2JGyTFVVFSoqKnDXXXdhzZo1GD16NI455hjMnj0bL7zwQtJ9twhxikIe+GaL09dGwZWuDRt128ibL3FuRXgByb1e+q/1TAUYoAumYTL10MpaMADwmF1LXLRFD3SCK9djkkKOCKjV2U89D26LKz2FMODOllxcQ3991og1Buh9sSW6Tj/9dIwdOxYHHXQQAOCDDz7Avffem7KMmv7tb38bjzzyCObPn4/ly5fj3nvvNeyrRUh/o9imFVJwpWvDdhNFQTrhBRjXelkRYEDywBt64jdJjic+eIahbIqNmPV4TIJ7uC64nBxQFHhEwHjyOsjNpbhS6U+Dx1xdS38WXP3peSCOY0t0nXHGGZg6dSpeffVVAMDdd9+NiRMnWi7f0tKChoYGnHXWWTjrrLPwz3/+0561hJCChoIrVn8ReLn0mEUdTIYVAQakF2HRuszLphNjgDGUvGkdcS26PtvGicGWE0a6OOjLu9cgH6JKT76v3036meAipBCxJboAYNKkSZg0aZJ2/Pvf/x4XXXSRpbLTpk3D8ccfj1NOOQVTpkzBmjVrsHDhQrsmEFLwDEQvFwVXrP78a6iMsSO+gMRoh3ZEmB4rXrF40t1Hj65FV/8ds40UmI92TRhwHqpUDCRh0E/FVt5/IMgnhb6eawDfG0uia968eabnhRDYsGGDZdE1f/58TJw4EQ8//DD+/ve/48ILL7RuKSEEAAWXSn8QXIXg5TIjWdCLdKQKOZ+pIEvelo3MboxBMh04ZDIgciisek4pNCEVzwAe+AHI7fUPFME10J8pkhZLoquyshJXXXVVwnkhRNo1XfE0NDTg5z//ua0yhBB3oOBK1YbN+vuJ4IrHTCNkYnoqQWYXRYicx8EwYHdwZffasxi8FW1IdSfh4Dc5ue6bgSK4CLGAJdF1//33o6GhwTRtv/32c9QgUrwwbHwUNwfTTgocCq5Ubdisf4A9+NnoJyf+PWRJKvgZNACsd1QGA0XHNwAuVDiIdgYGlXCXQrnWovhgHLhYekpUwbV7926cc845+MY3voHOzk5ccMEFKCsrc9VAQkhhQsEVqz+DfigWL5cbSJIzr2yRYfELMOECLJSyaqQkWx6sCUk2vGwhy6lfbqJeY6Yvkjn57Mc8tEkvVxEwwO+Rrau/5pprMG/ePJSVlaG8vByXX345rr32WrdsIyRrci0MBoqXi4IrVj8FV16Qbbw8kmT6kmIvx0lXp8WBcEYiy01RRdFUHOS77/PUdl4FF59zYhFb0QsbGhpwwQUX4L333gMAHHTQQaitrXXFMEJIH4UkuPJBIQou4ix2hi1WxFKyQBvxRZ1ca5ZScFkYmNkaODoppkhxUyj3ME920MMVg1MLCx5bouvLL78E0PeF197ejg0bNjhvFSGkYCkG72EuBBe9XNaxOyRKJ6pSRS40K2rWvuNeriwEl6VBY6YiiwPS/keh3dNCsyeXDORrJ7axJbqOP/54TJ48GT09PViwYAFWr16NBx980Hajp5xyCp599lnb5QgpZNwaUBeSl4uCK9YGBVcCTgsrwLq3KpkNVsSbI9orWSUpBmSuCC0OAPsnhXxf82wbvVxFBO+VPdG1aNEiTJs2Da+++ioA4L777sPEiRNtN6p6zAghuYOCy6wN203kTXDZvTa3yORrsxA8V/o24nNKQrE2eLMzaMhUcFkVWhzA9D+K6Z4WgK15F1z5bl8PpxYWBbZEFwBUVFRg8ODBAIDy8vKMGnVl8TIh/ZBCCUVOwRVrY4B5uDIdUmQqspz0YGl5k52P1SHF7o9l4RWPmS1J6slabBXSII/Ypz/cvwK5hrwLLkIywJboeuKJJ3DJJZdoe3NdcsklePDBB3HmmWe6YhwpPgbqXl2FPrAubOuMFKLgylR0FvpzoSebIUwxiSz9eQkARN/Tk7Hw0mNXcKUTW/keXOa7fVIYFNBzUBCCqxBsIEWHLdH1wAMP4PPPP8fQoUMBRPftWrRoEUUXIS7glHepmKYVUnDllkIRWnanC2YlsuLbEVlM3LQ4a8N0kJhKbLk9oOOAkVihAJ+TghBchUYxzB7jfQNgU3QdcMABmuACgGHDhmHq1KmOG0WIExTK1LxihoLLZgNaO852nFPrubL92usPQksfIl6SAESSNmkfk4GFLcHl9MCEAx2SCQX63BSM4CoUO0jRYUl0bd26FQAwduxYPPLII5g1axYAYMWKFSgtLXXPOkKKADc8GoXi5coVFFzuMVCEVqpAGarQUptS13FBUQzTC6NpDkwxjGFZcDnRXrELtmw8jiR7ClxIFIzgIiQLLImuKVOmYPDgwaaDiZaWFtxxxx2OG0YIyS+58nJRcKUm06FoIYstq0IL6BNQmXq0DEJLQBvca9MKhYieszuoi7+GuPKuC65cl3MbJ+yicLNOoT4HJhSU4CokWwBOLSwyLImuH//4x/iv//ov07Sbb77ZUYMIIc6QzfC/kKdmDiTBlQn9QWy54tUSSuL6LaHzdGUivJJgSXBlFCnRmZD1/ZZMr7m/i7UifhYKSnARkiWWRFcywQUA1113nWPGEEKcETyFMfxPj12hMtAEl53r7a9iy1GvFqATWcJciCGDKYbp8mYruJzeQywFbg1yswpY4jb9Qaz1M3FSkGKrEG0iRYXtfboIIX0UinfDSQp1WuFAElx2rzUfgqtgxRaQXGyZeb2UsDFPlgOrhMFiNoIrVd4M7MznQDaTtgtaqAEchLsEBZdFimFqITFA0UUcZ6Du1eUE+fZyUXDZbae4BVc+vFtuiy3zKYRx6fophW6SqeDKUmwV5KA1A6xeR8GLM2KZ/vLskhi8nwYougghOaU/CK5CmE4I5F5wueHdSrVmy3WxJZRoBMNs0A0qUg4Ys5kimKasIwNVpwdHORRC6a6foqzwKWixVci2kaLC9pPU29uL7du3Y+vWrdi6dSvOP/98y2U/+ugj7b0QAuvWrbPbPCEFg+N7MQ0QL5cdBorgUlA4gkuWnBdc+jolJAouSZIgSVJCPmMdEiQpaockRGzdlpIouIQCKJG+NVtKGJIS7guaob4iYUAxX9MFpBmoW5nWk2rzY9M6k0Q2TDLgE5KsvSzXn+rlNOnac7PtOPR9Ff8i+Yf3IQM4tbAosfWk33jjjRg0aBBmzZqFOXPmYM6cOfjb3/5muXxFRQWuv/56bNu2DbfccgtGjx5t22BCiPMU4rTCgSC4MhFb2WInXHtfmbh8MH55qKIpXZ16sRU/ndBMlEXPS5rgApAgtiSD1ypObMULrTixJSnhWBmXpxymG1QmE1wmWBILeRA2WZFHUUYxlj+Koq8L3b5Chn2XgK3phc888wx27NiBqqoq7dy9995rufzYsWNx+umn4/HHH8ell16KQCBgp3lCLFOIXhu3KfRLdjPoSLEJrmyH9Zl+lTkluKzUaXXtVtZTCZNFI9QLKfVY0U0zVMWbQxgGj3ovl90phynElq16rOL0L+Zu/J+nuj6Xpg6m6m9OV8yOghdaKoVqJ71cRYst0TV58mSD4AKAo446ylaDM2bMwOuvv47q6mpb5Qjpz+RTJOaibTfXcQ00wZUp+RZcma7dsh2R0IbYkuLz2iUrsWNNcCUdoNqKgpjDQZrVtpz6n0rWDy4Ko2T3hGIsNUUjtghxCUui6//9v/8HIDo9cO7cuZg1axb8fj8A4IUXXsDKlSttNTpmzBibZvYRCoVw11134cYbb8SqVaswZcoUAMANN9yA3/zmN/B4PACAQw89FM8//3zG7RCSikILFV9Y1hih4Iq17UgtmVEogstqZEJHvFu6IBkpBVd8vdkODK16ufQ4KbaK5VfwVHY68T9n1k8uiyKKsUSKVmgVq92koLEkup599lmcfPLJGDlyJEaOHAmgbyCS68Hn73//e8yePRtdXV0Jae+++y7Gjh2bU3sIyZb+7uWyQ38UXMU43MpWcFmZTpiYz2yDYxe9W3FBOITsNZa3MeiyPbCUUgsz0/pSTi/MUGgVasRCs+spUiEGDLypikUrtFQK2f6i+VGlgPswj1gSXbfccgvmz5+fcF5RFBx33HGOG5WKyy67LGnaHXfcgUAggN7eXlx55ZXYb7/9cmgZIfkh06FIoU0rLCTB1R+8Wyp2vVy5EFxZTydM5q3SNjy2KLgiuo2RJQe8XHqseKri8tgSW1YHX7kc/KRrK6upnDkSYjkWQf1FkBW90FLpL9dBChJLoksVXHfddRd++MMfauf/+Mc/4s0338SsWbPcsc4Gs2fPRkNDAyZOnIj33nsPs2fPxqeffmq6dqy3txe9vb3acVtbWy5NHRBwg2RSKFMw8yG4CmWoVMyCK9PphJa9W4qxTngc2LYyXZj4FAM6y4Irndgq5EGj0+uv3BBieRZhhqYLdP+xfiOwCMkxtv5zNm3aZDhevHixtrYr38yfPx8TJ04EEA3WMXjwYCxdutQ0780334zq6mrt1dDQkEtTSZHjaFCFLKsqZC+XHdzycuVacOUiBLwTw52iE1xCGAWXmYfLruASAlAiWmh5g5BTrzljMWDhLunyJAxizUKlq5uUJaurGELDJ8PJMPHaZm4p+isb2wqIVPuPufnqtxT6tXFqYdFj6ae9cePGQZIkNDc347nnntPORyIRTJ061TXj7LBu3TpNdAGAz+dDd3e3ad7rrrsOV111lXbc1tZG4UWIgxTCtMJ8CK5CIpWXy6m6shVclgJmOLR+K7onl4nHTFGnGLr8A2KSaYWmgiuhrJlK7ucDG6fWX8X3XT/yhBEH6e//T6QgsCS6li1bBiEEbrjhBtx4443a+UAggGHDhrlmnB3OP/98LFu2DCUlJdi9ezc2btyIo48+2jSv3+8vGA8dIZlSqF6ugSa4im3IZdfLZSVKYfy5nAguK+u3lLDpdEIpdl7bUDlWj611XbF8mmhKNbUwU8E1EMVWKpwQPPo+7QdrwogDFMP/VLF4uUhKLIkuNcT7I4884qYtlli+fDmeeOIJAMBNN92E008/HYsWLcLcuXPxrW99C2PGjMGGDRvwhz/8IavQ9IS4TaFN8StkKLjsYcfLlW5aoRlWwsI7IrhSBcxQ4td2mU8/NAguJWJMVyIQSkx4OfU7XKYDuBwJLjemh+Ut4EO2gsdpLxhAEVZsFIPgIv0GSdgYcWzbtg2XXHIJXnvtNQDAvHnz8MADDxT91Ly2tjZUV1ejceeuhM2fSebkU1O4KWgci2yXh/VcxejlKkTBlc9hlJUhgh3vlD5rpuu43FnDZUFw2Vm/pRdkkVCsKgUIB6P1VgyC8JYY1+7Er2HRzkvJPV2pAmIk83KlE1wZDgwLYf1N3gRZtu26EQiIAqzwKID/EUsUi6erWPrTAm1tbRhaPwqtra2OaQNbvXPBBRdgwYIFWLVqFVatWoXjjz8e3/3udx0xhBCnKAbBlS2FYYURt6YVWq5zAAiubLAyrdCYZn0dl7X2C0BwKeE+wRUOAeEgRCgEEQq5NyBOtw+Xg4KrEAMe5C0QQ7bBL5wMxmFmU4HcnwFNsdyDYhFcJC22YuSOGDECP/jBD7TjKVOmYNWqVY4bRUh/Jx9TCwtlOqNb67js0J8Fl9Wphdms47IbOMOW4FJtcENwxdZviXAoOrUwFNLOSULp+zFD2FjbpSdVGSsh4fX9blNsWcKtQaZNwRpvr+veMH17hbAOTKs3S7tI5hSL4CL9CltPXVVVFdrb27Xj9vZ2jBgxAgDw29/+1lnLCCGmFIh2MuCGB9CtaYWZ2KqgOASXm2QaOEMvuDQyCZqRqeBSwprgEoqSILhE7JXVoDdZEI10Xi5DXvuCK6XnyMkw7Okwa6tQPXSF6AGLt4uCwF2KqX+LyctVTP2aJ2x5ut566y00NDRg8uTJAIBPPvkEBx54II499lisX78eS5YsccVIQkh2FMqUy3yv48pUcBU78YIpEy+Xlh5XZ7p1XPr2JJ1Y0ogTX44LrriAGSIUjOZRBVc4ZGhbAGk8VhkMguLXf8W3YVNwpRRahUSGYd9z5gkrVA8YQC+YGxTa/wcZcNgSXWPHjsVdd92VcF4IYXqeDGwkFKZXJlMKJYBGsZLvdVwDQXA5uTeXHqvruNJGKtSLJUAnrEwiDybDacGlRLRzdsnYK5Oh4MpGbAmXng3J7v9VBtH99Ndd8ALMjTnRFGDZU4yCq5i8XMQStkTXPffckzRS4X777eeIQYSQ5BRaxMJ8Tiuk4LKG2bRAQ7ruvVXRlszLZczTd1KKX6ulJ15wGdJMvFywILjUNIuCS0Ri+UyQhJKZuIqLWGhaR7aCK0UZt0SW1XYsizGbgiKnAqzQvF9ARqJ1wFOMgov0S2w9iT6fD+eccw6+8Y1voLOzExdccAGampoAoOjDxhNC3MPpaYVuCq7+vn7L7lg8k/DwdiMVJpxX/yaZVmg1aIa2B5fOm5UguELBvjzZkE0wi5TiyWSdU5J1P0KStJcdhDB/ZYPeFsv22FzT5PoasEJd/2Vog+vAUsJ+yQ3sZ0vY6qVrrrkG8+bNQ1lZGcrLy3H55Zfj2muvdcs2QoiOYvVyubGOyyqZCK6BRDovVzovmVbW7Fxc4AwDcZEK+87ZW8eVLkqhKqYMQTNMBJd2LpdYGIjbFVtJ60kiqtKJq3Tl7Px72RZhNsREToJwZCts3BZfAAWYnmLvB04t7JfYeiIbGhpwwQUXoKKiAgBw0EEHoba21hXDCOmPDNT1XE5itQ8HmuCyIpoy/R5P5+UytplmWqFDgTM0wRVfT5Kw8EK/ditecMX260og06lbyaYW2vBymQquhDzJBYxTHqt0ZCrE3BZgrlEM4gsw9lkxi49MGGjXS4oGW2u6vvzySwB9X7jt7e3YsGGD81YRUmAUyqbIhUK+vFwUXM7htpcr6bRCIHHtlZm4sSy4RF+auvGxOpUwEjEILhEOamu49B4uoRNjkqzzKlsZvCULF58KLbpIZoIrldCyg2KhgJyBQIivNl0VIolQN8XiGjDX134VcuRD0/YGQDCO/iK2is3L1V/6PQfYEl3HH388Jk+ejJ6eHixYsACrV6/Ggw8+6JZthJAYhTS10GkBSsFV2Nj1clmaVphs0Kf3cultiAucYRBcapTCWBmhKFHPVSQCqOHg4wVXOJgguIQSSRudMRMSvFxpBlRJw8ojc7FlRVxlWtaKKLMjwjISYGlEhNqnBRl4A3A38qFpe/0sGAcH/aRIsCW6Fi1ahKlTp2Lp0qUAgPvuuw8TJ050xTBC+hsDbWqhk1/jbvVdkQ81UmJ1amEmXq5UwTMAC9MKAVvTChMCZwB96WaRCnWCS4RDfZ4uVXApuvwxgabt1+UU6QaCptMF7QmuZGP0bESWXczaSifE9EUcEWAUX9lRrCKsP4qtYvNyEVvYEl0AcMABB+CAAw7Qjn//+9/joosuctQoQkh25NvLla/gGW5s1NwfsTpUSeblSpo/zstleVphunVc+vqshoYHooEzlKgA65tqqPQJL3Utl6LzihUCaQRXIYitVOjtcFqAUXzlgAw3tc4J/VFoFTO8H7awJLrmzZuXNG39+vUUXYS4SGEMo5wnn9MKC2T44BhubYpshiUvl5VohanIIHBGytDwsXQtaIbJmi8RySJ6YQoPleFcirVcyYI/pBNchSK0khFvXyoRpmZ1THwBltZ9Fbz4AvInwFTyKcQGysCeXq5+jyXRVVlZiauuugovvvgi/H4/Zs2aBQBYsWIFpxeSgmKgTeEzo1i8XJbqouByBP13udUAGll5uZBkIGvVy6XLnxBoQx84Q7+OyyRwRtK9uFSPWGzqoer1chqrUfSSTSvUCy6zR7zQBZcZVrxgVrxfTk49LHjxBeTf+2VGquc7o+AiA0RckQGLJdH1wAMPYOTIkXjyySfxwAMPaOe/+tWv4oorrnDNOEIKAScCR1AMGnFy3EDBlYjVyIOZ1puRl8tsuqFWLsm0wngvV/w6ryTruFJGKgyHDIJLCYUhIoq9NV0ZrNdKF7EwPi2V4MpGbGVa0o1HSr2OnHq/8i2+sq27EMWXGRRQ9qCXa0Bg6b9i5MiRAICPP/4YPT092vnu7m6sXbvWHctIv4AfI9lRKF+rherlouBylmy8XKbBM8ww8XIl1KfLY2Vaoek6rmSBM1QvGKIeMhFRoIT0Gyo7/KSkGXya7eHlpOASca9Mia8n2/r0KEJor6TtW9gDzNK+X/ne68upfbNytd8XIcmgsLaNrUAap59+OkaPHo0ZM2YAAP7zn//g5z//uSuGEULsk0+PmpPBM5y+joEsuOxELbRUn+59gocinZcrg2iFfXWZTCtU12ylWseVJHCGEg5BCYZNPV2SULIedJuWTwiQYb7hse6SDVgVXLn8GIhvK1sZkM775YjnqxACbjgx5RAoHs8XSQ7F84DBlui68sorMW/ePCxbtgySJOHWW2/F1KlT3bKNkH5BsU8tdHJfrnxMKxzIgiueTGREqn25ounWQsSnxGK0Qq3e+GmFei+V3ssVv47LEDhD0QSXEol5yww2KfZ/yU2WPwPvi/7xtiK2rPw3ZPNZZHXKqr6JbIaSTokvp6IdFvR6L4Dii5AiwHbI+GnTpmHatGlu2EII0WH3q7MYvFyW6nJwWiEFl3WSTS3UY8vLBVj3cqn1x+dLN60wopsqaLYfV4p1XEooHKsmemwaMj6F8HLDE6Z6aOwIrlSpTn4mJKsrlRhzQoClC7yRTnwV1XqvNDZYq4fiq6goVi8XpxZmBHuNEJKUXHu5KLjsEz9N0IpHwu7UwlReLsOxXS9X/LRC7VzcJsi689G3urVZqucq3quVZh2XiCiIBEOaAFPCIfOH1O4gOFn4+KResOh5s7VImQguRfS9coHV9pxYB5bNmq+iWO9l0QZr9XDNFyGFhm1PFyEDCSdFR39loIibYsfOUM4sgIatiIWANS+XDqvBM9JOKzQLD6+bVmhYx6VEpxgqEQWRngxCxsvOD76tfOQkE1vp687u8yydWI+3IZlYV7NlIgmynXbo5Hqvgvd6AfR8FTIUxQMOii5CXCTTX5sLYWohvVzFj9XvdLNQ8PFp6eq2MwA1DZ4BpA6eYbYJMpAYrTBdePhYuUgoGkgDgOb5SmWvHe+Gcd8tkylxcREL7UwrjD+b6v/G6R+NzOpLJcRU2wpVfBXFlEOn6qb4Ik7BqYUZQ9FFCMkYK8MBCq7CwurUQiv5LO3LlWmIeLVuk2mFhoAYZtEKLUwrVD1dkZjnK9zTa6lfEo13fgCSjeDKtXde316yZ0Zvp5kAy2btlxXxlfV6r/7i9QKinUHhlX/o5RqQUHQRQhIo1mmV+RBc6bqq2L5bbQfQgANeLr240okyrd4kwTPsRCtMNq1Qi2AY83pp9XqyFFNJ1nOl83JZEVyZiC0nvOHp1gvaEWBOe79Sia9+4/VKY4P1uuj1yivF9qVAHIOii5ACoxCmFlpq10KeXHq5cim47IxVrIS2tkqmMiBVuUynFpoOUjP1csXSDcEzkni5EoNn6KYVmni5Uk0rVIJRwRUJhREJhRNsKxRSCa5k/xtufC5YXbMFpBdgboqvfuv1smiD9boovohNOLUwK9h7hJC8UWyCK12EtHRl3UY/gM1G5CXzUpiFibc9wEzm5QKSerlSBs9Q86jruOI2QU41rdCQ1hM0DGZtX5fpZsjJVKt1L5ddwWUncqFI8rKKPnJhurVlqcRhyrI27OmrUyT3GFqIcpgSixEOXUWSnR38MtJh7mA/D2jo6SIkCdlOsSvWTZGdEjn96cdTp64l1S/tuSDdOq10UwujdSQpbMHLZRqxMJaeyssFIG3wDP0r2SbIZtMKI6EwlFAIStCBr0NT4WUytdAidgSXk8IlWf50j27atVsxm+16vgrO61UI0w1VO5ysn54vd6HgGvDQ00Vchx8z7lGswg4oDi9XNp6tVHUWCplMLQRShIlPhxUvl50Q8UDa4BmGTZBNphWKSFSYaYE0srxBVoVVOi9XMsEV7zVK5inKxHOVDjsesVQeLPUa7HrqMrmeAeH1crxOer6ICZxamDX0dBFSQOR7PF5IXq5CEFwDESt7c2npVoSXXS+XWkbFQoj4VMEz1OmD6rqu+GmFSiiMSDDJei6hGAcaQgEkT/prToXJwCXVpr/xgitZmpbHohnpfvSwssl2fBVmRTL1fqXzfOXS61UU67wAZ71eACMdOglFLEGRia6mpiZcc801qKiogCRJ2Lx5M+68807sv//+2LdvH5YsWYKqqirs2LEDP/rRjzBnzpx8m0xySDF7fQYahX6v3B5nODXN0EpYd6u/TVoZZGc0tdCQL85Dlmwtl97LBRiElFUvV3zwDBFRoER0YktRoIT61niFe4K29+NKikkdZvUme87MTqcTXKke2Uz+35KVSRk8I/Y3WZaUQkoIW9MOM5lymC7CIacbmtXJKYdZQ8FFYhSV6Nq2bRtKS0tx3333AQDuu+8+XHjhhVi2bBmuv/56HHzwwbj22mvR2NiIww47DF988QUCgUCerSYDkVyICqfboJerf48rkgk016cWKjohptXRd2y6lksra/RyAbDk5VLCIdPgGcIQIr5PiCnBiFq59etKR4qBVqppa2bTClMJrmSPrFufQek8V4DRplTerwQhlWbNl9teL0dCy/dnrxfQvz8kSXI4tdARiqoXp0+fjt/85jfa8fjx49HY2AgAeOyxx3DSSScBAEaOHIn6+nq89NJLebGTkEwYKF9l6QaDA0VwudmelR9WrXi2+vKmmFqYLoCGnngvV7Iph1l4udTgGdoUQlVsxUQYgOhaLp0IU2LpiISsd4oV4gcq+qAaSdZyqZj9n8SvdzIraSd6YbZYilyI1MIw2Z5jdtZ7ZbrWKxlFv87Loh2Z1cv1XrZgXxEdReXpAoy/gD377LO47LLL0NzcjLa2NgwfPlxLGzZsGDZt2mRaR29vL3p7e7XjtrY2Q/rKlSuxb1+L4dy0adNQXz8SW7duxSeffGxIGzx4MGbMOAzhcBivvvpKQnvz5s2Hz+fD++//B3v27DGkTZp0AMaNG4ddO3dizdo1hrSqqmrMnDkTAPDyv/4FJW6AMmvW0aisrMRHH36I7Y3bDWnjxo3HpEmT0NTUhHfffceQFvAHMPfYYwEAy157DT29PYb0ww47HIMGDcLnn3+OTZu+MKSNGjkKU6ZORXt7O956a7khTZZkfHXBAgDAihUr0NbWqqUJANMPmo7hI0Zg06ZN+Pzzzwxlhw4dikMOORTBYBD//vdSxHPcccfD6/XivffexZdffmlIO/DAyRg9ejR27GjEhx98YEirqanFEUceCQD410svJtR79OxjUF5ejg8+WIudO3b02SuA/fffH/vtvz++3LsX//nPfwzlyspKMfuY6PTV1/69FMGgcbB22OFHoKa2Fp999im2bt5iSGsY3YCvHDgZba2tWPn224Y+8no9mHfc8QCAt5a/ic6OTkPZ6YccjKFDh+GLjRuxfv16Q9qwYcMwbfrB6OnpwZuvL0u41vnHfxWyLOO9d99BS3OzIe3AyVNQP3IkGrdvxycff2RIq62rw4zDDoeiKHj1lZcT6j16zlwEAgF8sGYNdu/aZUjbb8IEjBu/H/bu2Y21q1cbBkZl5eU4atZsAMCypa8iEomuq1EHW4cdeRSqqqrx2aefoHHbVq2cAqBh9FhMPOAAtO5rwXvvrDK06SvxYfax8wAAK958A93dXXF9eCgGDR6CTRs34IuNG6InY4YNG1GPyVOnoauzEyvfejPhWud99WsAgP+8sxKt+/YZ+3DqNAwfUY/t27Zi3aefGNLqBg/G9ENmIBwO441/v9qXEPs4mz13Hnw+Hz5Y/T727jV+RkyYOAmjx47D7l278MkHawxpVdXVOPzI6GfEsldfhhITKurH5JEzZ6GqshIff/QRdu5oNJQdP34cJkychOamJrz37ruGsVRpIIBjdZ8Rwd5eQLc31+GHzcDgulp8/vk6fPHFxtgoNSq8GupHYOrkr6C9vQNvrlgBSYloEQtkScIJ82YDQsHyd/6DttbWmPgCIBQceuAEjBhShy+2NeKT9ZsBJQSEI4BQMLSmEodMHItgbxCvrloDKGGDIDtuynh4hYJ312/F3ub2aOCMmFdr4uBq1JeXYUdTKz7a+WU0WmE46gWrlD2YVlsNJSLw3L/fAnyl0fsiyYAkYc7MI1BeUYU1H32CHbt2a+cFZEyYsB8m7L8/9n75Jd59f21sQCoDkFBaXoa5c+YCAF79978RDIW1Gy4kCUcccSRqa2vx2aefYvOWzdHzsXszatRoHDh5MlpbW/H2ihXaPROi7zNCwPgZoZY96OC+z4iNG5z9jBg5alTaz4ilr7yc4Hk6Zm70M2LtmtXYs2u3IW3/CRMwfr/98OXe3Vj9/mpDWkVFOY6efQwAYOmrryAc7lt7J0nAUUfNRHV1NT75+GNsjX1GqG2PHTMWB3zlK2hpacGqVSsN9fpKfJg3fz4UIfDG66+jp7vbkH7ojBkYMmQINm7ckPA5W19fj4MOOghdHR144403AEQ/sxRFgRACX/3qVyGEwNtvr8C+uM+IKVOmoH7ECGzbvh2fffaZweM1aNAgzDj0UITDYSz992uGcpIEHDt3bnQcsXo19u7daxgLTZw4EePGjsXOXbvxQdx3YFVlBWYedSQkScLLr7yqfUZE65Uwa+ZRqKysxIcffYTGRvU7MFr3+HFjMWnSRDQ1NeOdd98z6Ad/IIB5c+dAAvDvZa+jt8c4jjji8MMxaFAdPl+3Dl98YRyLjRo1ElOnTEF7ezuWv7XCkCbLMhZ8NfYd+PbbaGs1js+mTz8II4YPxxebNuPzzz83pA0dOhSHHnIwgsFgQh8CwPHHzYfX68W77/3HZBzxFYwZPRqNO3bggw8+NKTV1NbgqCOOAAC8+NK/Euo9ZvbRKC8vx9oPPsQO3TgCkoQJ+++P/fffD3v3fon34sYRpWWlmHtM9Pl+9d+vIRQMGtKPPOII1NbW4NPPPsPmuHHE6NENmHzggWhtbcWKt43Pt9frxfHHzQcAvLF8ecI44pBDDsawoUOxceMXWBf3fA8fPgwHT5+Onp4evLbsdcO1AMCCr0Y/I1a98w6a4z4jpkyZgoZRo7Bt+3Z89JHxM6Kurg5HHB79jPjXy4njiGNjnxGr16zBrrhxxMQJE7Dffvth9+49eH/1+4a08vIKHDP7aADAK6++aviMAICZRx2F6upqfPzxJ9pnhMrYMWPxla8cgJaWFqxcZRxHlPh8OHzGjAQ7s0US2cbFzhPPP/88nnzySfzhD39AS0sLBg0ahL1792Lw4MEAgJNOOgnHHXccfvjDHyaUveGGG3DjjTcmnD/iyCPh9XoR7A0mCJySkhJ4PB5EwmGE4m6qLMvw+XyAEOjRiTkVv98PSZIQCgYRidsc1Ov1wuv1IhKJIBQyDtxlSYLP7wcA9Pb0JPyS5/f5IMkyQqEQIpGIsV6PF94SLxRFQTDuH1mSJPjVent7E35R9Pl8kGUZ4VAY4YjxWj0eD0pKSiAUBb3x9SL6QQwAwd7ehF8SS0pK4PV6EQ6HE/4x1D4UQhgEsXatsT4MBoOGLw2grw/DYZM+VO8NgJ64LwV9vaZ9GKtXUSIJosrYhz0Jv4yqfRgKhaCov8xDgiRJ8Ho9KIlda7A3GP3yjH2ZyZKM0tLSaL3BoGG6jQTA5/drfRgKhWLno4W9JV74/QEIoaCnp0f7Uo7+lVBWXgZZktHb24NIJBJrN5on4PejpMSHcDiE3mAQUsxWWZZQUuJDWXkZJElGV2cnJFmGLEuQZQ9kWUZlVRW8Xi96eroRDkcgyzJkSYIkyygtK0NZaRnCkQi6u7ui9koyZFmG11uCmtoayLKM1tbW2DhXhizJkGQJtXWDEAgE0NvTjd7eIDxeDzweD2SPF5VVlaipqUUkoqCtrRUeTzTN4/XCV+LDyFGjIHs8aNr7JQQUeDzeWLoHI4bXo7yyEu3tbbFBf999Kysvx6DBQxAKhbArTqQAQMOYsQCAPbt2oTfux4q6QYNRXlGB9vY27Iv7MvIHSjF02DAoimIQkLHHAiNHNcDj8WDvnj0JIrGmthZVVdXo6uxE85d7jfX6Axg+YgQAoHHblr7nJZY+vL4eAZ8PTU1fJnzx1tZUo6a2Fr09Pdi7O/YlJ0mQpeiz3zBqFABg+/btUCKRvg2RhYIRw4YiEAigpaUl+gNVTDRJQkFlRRkG19Ui2NuDxsYdMe+XAET0mRs3qh4QCnbs2IFgb48myCQljKF1NSj3e7GvtQ3NLfuie2+FQxCKgjJfCYZWlyESCmNL486oVyqWhkgIDVWlkCCwc+8+dHb1QITCiITDiPSGUOP3oQxAR3cv9rS0I9IbjE497A3BqwjUStHfHyu+922grBqQo8EyhOzBqPoRKPGXYk9TCzq6uqKBNCQJQpJRW1eLmppadHd3Y9feLwHIUS+GJKPEV4JRoxoAAFu2N0KJRABJ1jwlw4YNh8/v1340BPoexYqKStQNGoSenh7s2rkTgG5Knixj1OjRAICdO3agp9f4OTxk6FCUlZWhdd++hEF/WXkZhgwZinA4jMbtxh/qAGD0mDGQJAm7d+9CT7fx+R40aBAqKivR0d6OpqYmQ1qgNIBhw4ZDCIEtmzcjFAoh2NuLcCiI3mAv6uoGIRwOYfeuXWhtbUUoGEIw2ItgMAiv1wuP14P2tnY0NzUhFOyNfkdEIhBCIBAIIBIOo6WlRTsfDkfvbYkv+l3U1dWF3t5YuXAEkUg4ukYMQDAUQk93NyJKbMuAmDjyeDxQFCX62a+l9fnMhBCIRCKIRCLRMkDUOxoTWIruPcmOpFOfzTzsFvMm5JKkvjxCRKel6oMGaelCN800MV3EiVYAkGRJazF+PCXLcjRfLIpmvJ0eT9QjqT57ks5y9btWKHGe35gtsiRFn8u4NiVJgkdW61USOsMjeyBJEhQhIBQl4TplWQYkIBJJvFaPxwMJUU+xcQN0xL77ZShCgVBMbPJGP2cj6vhP167X44Eky9Efy7Rxj9qH0bEGhEBE6RunqeMUjzf6eR0Ohw39B0THRZIkIRJbx6u/Vo8sw+P1QChCG+v2pUf7d+MXX6C1tRVVVVVwgqIUXc8//zz+8Y9/4MEHH4THE+3sqqoqrFixAlOmTAEAzJgxA9dffz1OP/30hPJmnq6GhgYsWrQIJSUlubkIWJtG1Z8YaNcL9F2zfrpMRu919aXLH44oSfMgWZ3qVC4hoKYosQ96dYChDTTU90J/ziSfMB5HIsnKGvPlkpKSEpT4fPD5fCgpif71+XwoiR2X+Erg8/lj6SXwxcRp/HGJrwR+n1+rK1BaikAggECgFP7SAEpLy7RjfVqgNIBAaakm/tMRP2FIX8ZsY2Q5SV41v6R7r+aJDyOvTi3Uiy7LUwsVBZIS7luvBcSOo/kk9UcdJRItr4T7pgsaNjiO9AmwSCSapm6GHA5BhIJAOAQlHIISDMciEoaiUwdj0QkjPcHonlyx8+GeIMLdIURCCsLdUTsO+n9XQ6oZ2ie6PN6o50r29k0Jkz0x8SQDsm6T2pjYUkVXn9dLN50sJrrMphaq78zWcSWbUpjJNEJ9vcFgEG1trWhrbUVbWxva2lrR0daOrq4udHV1orOjE13dXejq7NTOdXXG0jo7Tc+b/WhmBY/HA7/fD5/PD7/fB0/sR68Sb/THOm+JV/shLPojaPS9z1cSyxeXrpWP/lV/mFEHwdEBrawdy7pjWR3U6s+ZlDMrqx3rB/lJ+t/SeTt5bZzPdR25bM9K2YQ8GZRxol3XytisM6+2OlBH/P1zot2enh789re/dVR0Fd30wqeeegrLly/H7373O0iShCuuuAL33HMPzj33XDz//POYMmUKGhsb0djYiBNOOMG0Dr/fr3kp9Nx3//2OdSwhJDPUX5gVRdG8ovpXRPdrdzgcRkT/Xs2nO5csLRQKRV/BIILBIIKhEHp7e7Xj3tjfUDCI3t7eWJ4gWtrbY7/ShxAKBRHs7dXV04venl709HQneF1TIUkS/IFAgjArLStDeXkFysvLURb7W15RjvLyCpSVl6OiokI7X1FRjoqKylieCpRXlKOyvAI+n89UcJnZoL1PSLNzB2PYCBOvj1gYLWtzX65wyHQtl34jZACGEPHq+i6hW+sFxejttkvKtToZrrFJJ7hCoRCam5vQ3BR7NTdr71tb96G1tRXtbVFRpX/f1tpq6v1XkWUZZeXlKCsrQ1lZ9G95RQXKyspQVVGOwXW1KCsvR3nsfHlZGcrKyrQfEQJ+P3x+PwKBQPQ71+eDP/Y+EAhEf5xQ02IefEIIKRTa2trw29/+1tE6i8rT9cEHH+CQQw7RphACQGtrK7q7u9HS0oKLL74YNTU1aGxsxNVXX4158+ZZqretrQ3V1dXYtXs3RRchxBEikQi6u7vR3d2Nnu5udPf0pH8fO1bfd3V3R6cVtrWjs6MDXZ2d6Ozo0LwMnZ0dab2DJSUlKC+vQFVVFSqrq1BVVY3q6mpUVUXfV1VVoaZGPVeN6urocVVVNaqrqlBTU4OystKo10zECal4T5cS7juvKAliSsuTAy9XpCcYDQXfHYyeC4UR6emNbYRs9HJFQlH7Dr7xcshDR/et27Lq6TLzcgFGT5duaqEQyb1cQgg0NzVh1+5d2LlzF3bv2oU9e3Zjz549aG5qQlNTE1qam9HU1ITm5qboFNk4PB4PamqjUx8rq6pQXV2NuppqVFVH72l1TQ2qq6qix9V9z0NNTQ0qKipQUVFh2ftKCCH9kba2NgwfNmzgerqmTZuWsBZIpba2Fn/5y19ybBEhhJjj8Xi0AaxbCCHQ09ODjpgQ6+joQEd7Ozpi7/XnWtvaNA9HU8s+bN2yJTq1TPOAtCVtp6SkRBuY19ZUo66uDnV1dRhUW4u6ulrU1VRjUG0N6mprMKiuNvq3phpVZQHNa5Y0TDxg7uVSydDLJZRYxELdRsjREPJhKMFIdEpsMBI7F61fhOPWqar7dsVvkmwFk/wdHR3Ytm07tm3bhq3btmL3rl3YpXvt3rULu3fvTvCSVlVXY/DgIRg8eDDqBg3C5MkHYvCgQRg0aBAGDR6MQYMGRY9j76urq6NrIAghhBQMRSW6CCGE9CFJEkpLS1FaWoohQ4ZkVZeiKGhvb0dbayv2tUbX+bTGRNq+2Jqf1n370LJvH5qbmtDY2IiPPvoIzc3NaGpuSQjYA0QDctTVVEdFWOxVW12JQbXVGFRdjUE11RhUU4G6qgoMqqpAXXUlBlUE4PN4+rxc6fblAgzCSolEtOmCSmwaoboRspo3GiJeRF+KgIhEX6p3LpOQ3oqiYMfuXdi6vRHb1Ne2bbq/29HS0qLllyQJQ4YMwfDhwzF02DAceOCBmDdvHoYPH47hw4ZF/44YgWHDhqGsrMy2PYQQQgoLii5CCCGQZVmbatZgs6wQAp2dndFpb83N2rqipuZmtLS0aGuNmpqb8en6L9CyL+pta2ltM13wXF4aQF1VJeqqK1BXWR4VZJVlqC0vRV15AHWVZagr86Ou1IfaUh+qAyWoLikB4tZyWfVyaZ6u3u4EW/T09vZic+NOfLFlGzZu3oYvtmzBF5u34ovNW7B5y1bDGqnq6mo0jBqFhoYGHHHUUThj1CiMih03NDRgRH19TgM3EUIIyS8UXYQQQrJCkiRtKmVDLJy5FSKRCPbt26cJM71ga25p6RNvmz/H+m070NzWgea2TnT2JEbIkySgpjSAmrIAakr9qPH7UBPwocpXgiqvBzX+ElTKMiokGZUeLyoUGeWQURqGFt5YhEMIh8PYtGMHPt+0Bes2bcVnG7dgw6Yt+GLLNmzfuUsTiT6fD+PGjMa4sWNw7Lz5GD9+PMaNH4+xY8di1KhRXB9MCCHEAEUXIYSQvODxeKLrkgYNAvbf33K53t7eaECJmDBrinnSWlTPWksLdr39Gna2deKTrh7s6+5FS08vgpHEoCMSgEqPF5UeD8q/9wU27W5CKBbtsKw0gAnjx2Li+HE47Og5GD9+fPQ1bhzqR47kuilCCCGWoegihBBSVPj9ftTX16O+vt5Wua6urqg4i4m1lubmqEctJuBCoRDG77cfJk6ciIkTJlBYEUIIcQyKLkIIIQOCstheUqNGjcq3KYQQQgYY/AmPEEIIIYQQQlyEoosQQgghhBBCXISiixBCCCGEEEJchKKLEEIIIYQQQlyEoosQQgghhBBCXISiixBCCCGEEEJchKKLEEIIIYQQQlyEoosQQgghhBBCXISiixBCCCGEEEJchKKLEEIIIYQQQlyEoosQQgghhBBCXISiixBCCCGEEEJcxJtvAwoBIQQA4O2330Z5eXmerSGEEEIIIYTki87OTgB9GsEJKLoANDU1AQBOP+20/BpCCCGEEEIIKQiamppQXV3tSF0UXQDq6uoAAFu3bnWsY4k92tra0NDQgG3btqGqqirf5gxIeA/yD+9B/uE9yD+8B/mF/Z9/eA/yT2trK0aPHq1pBCeg6AIgy9GlbdXV1Xy480xVVRXvQZ7hPcg/vAf5h/cg//Ae5Bf2f/7hPcg/qkZwpC7HaiKEEEIIIYQQkgBFFyGEEEIIIYS4CEUXAL/fj1/84hfw+/35NmXAwnuQf3gP8g/vQf7hPcg/vAf5hf2ff3gP8o8b90ASTsZCJIQQQgghhBBigJ4uQgghhBBCCHERii5CCCGEEEIIcRGKLkIIIYQQQghxEYouQgghhBBCCHGRASm63njjDUydOhXXXHNNQtrdd9+NRYsW4dxzz8VPf/pTQ9qTTz6JU089FRdeeCG+973vIRQK5crkfsv8+fMxfPhw7VVdXY3rr78eALBs2TJUV1cb0nt7e/Nscf8jXT+n+p8gznD//ffj7LPPxjXXXINTTjkFjz76qJa2efNmVFRUGO7Phg0b8mht/2Xr1q047bTTsGTJEpx88sn46KOP8m1Sv6apqQnnn38+fvCDH+Dyyy/HwoULtWf7hhtuwJAhQ7Rn/qSTTsqztf2TxYsXGz5blixZoqXt27cP3/rWt3DRRRfh5JNPxuuvv55HS/svZp/xPp8P69evT3l/SHaEQiHcdtttKC8vN3zWp3rug8EgLrzwQlx44YU49dRT8dRTT9lrVAww1q5dK+68805xzjnniKuvvtqQ9s4774jJkyeLcDgshBBiwYIF4plnnhFCCNHY2ChGjBgh2tvbhRBCXHzxxeLOO+/MrfH9kO9///uG43POOUd8/PHHQgghXnvtNfHwww/nwaqBRap+TvU/QZxj/vz5oqurSwghxN69e0VpaanYuHGjEEKITZs2iV/84hd5tG7gcOKJJ4onnnhCCCHE22+/LaZNm5Zni/o3q1evFpdccol2fO+994o5c+YIIYT4xS9+ITZt2pQfwwYQ5513XtK0Sy+9VNxyyy1CCCG2b98uRowYIbq7u3Nk2cBh69at4tZbb9WOW1paxLHHHiuESH1/SHbcf//9YsWKFQKA+PDDD7XzqZ772267TSxZskQIIUR7e7uor68XO3futNzmgPN0TZs2DT/84Q/h9XoT0h599FF87Wtfg8fjAQCcfPLJ+MMf/gAAeOKJJzBz5kxUVFQkpJHMue+++7T3u3fvRnNzMw488EDt3D/+8Q9cffXVuPTSS7F06dJ8mDggSNbPqf4niHO8/PLLKC0tBQAMHjwY5eXl2Llzp5b+5ptv4uqrr8Zll12Gv/zlL/kys1/T1NSEF198UfOoHHnkkWhsbMSaNWvya1g/Zvr06fjNb36jHY8fPx6NjY3a8R133IFrrrkGP/jBD7Bx48Z8mDgg+OlPf4prrrkGV199Nfbs2aOdf+yxx7T/h5EjR6K+vh4vvfRSvszstzQ0NODHP/6xdvzQQw/h/PPP146T3R+SHZdddhmOOuqohPOpnvtHH31US6uoqMBRRx2FJ554wnKbicpjALN582Ycc8wx2vGwYcOwadMmLW348OGmacQZfve73+Giiy7SjkePHo2LL74YX/va19DS0oJDDjkEf/rTn0z/SUjmpOrnVP8TxDlkue/3r5UrV6KhoUF7zqurq3HhhRfirLPOQk9PD4455hgoioJvfetb+TK3X7JlyxaUlZVpP6wBfc/79OnT82dYP0eSJO39s88+i8suuwwAMHv2bDQ0NGDixIl47733MHv2bHz66aeorq7Ol6n9koULF2LmzJkYPnw4nnnmGcyfPx+rV69GW1sb2traOO7JMYqi4Omnn8Zrr70GIPn9MXMckOxpbm5O+dxnqwX63V2bP39+0l/Eli9fjlGjRuXYooGN1fsRCoXw0ksvaeu5gOivnuPHjwcA1NbW4pRTTsGf//xnii6bpLsH7Gf3sfp/0NzcjJ/97Gd4+umnNSFWW1uLs846CwAQCATwrW99C3/6058ouki/4vnnn0dXVxeuuOIKANH/GZUZM2Zg8ODBWLp0Kb7+9a/ny8R+ib4/v/71r2Px4sX44IMPMHbs2PwZNYB58cUXMX/+fPj9fgDJ788hhxySLxNJFvQ70ZXNFLSxY8di165d2vHu3bu1D56xY8dixYoVpmkkOVbvx1//+leceuqp2jQ2AFi/fj0mTJigHft8PrS2tjpuY38n3T1I1c+p/ieIdaz8H3z55Zf43ve+hwceeEATwUA0uMPQoUMRCAQARO9Pd3e3a7YOVMaMGYOuri50dHRo3q49e/bwec8Bzz//PP7xj3/g4Ycf1jxf69atw8SJE7U8fO7dIVk/19XVobKyErt27cLgwYMB8PM/Fzz44IP43e9+px3z/yC3pHvuzcZEs2bNslz/gFvTlYpzzz0XL730EiKRCADgueeew3e+8x0AwJlnnokVK1ago6MjIY1kz//+7//iwgsvNJz71a9+hU8++QRA1OW+bNkyHHfccfkwr1+Tqp9T/U8Q59ixYwcuvPBC3HPPPZgwYQJWrFiBJ598EkB0fv+///1vLe+///1v/h+4wKBBg/C1r30Nzz//PIDoNM8RI0bg4IMPzrNl/ZunnnoKL7/8Mn73u9/B4/Fonq7zzz9fixC8e/dubNy4EUcffXQ+Te2XnHvuudr7tWvXQpZlTJs2TUtT/x8aGxvR2NiIE044IS92DgTWrVuH8vJyjBw5UjuX6v4Qd0j13OvTOjo68Pbbb9uadSIJIYTzJhcu4XAYV155JZYuXYpAIIB58+bh17/+tZZ+5513YsWKFQgEAhg5ciRuvfVWLe1Pf/oTnnjiCQwZMgRA9BcJn8+X82vob6xevRr3338//u///s9w/oknnsAf/vAHfOUrX0FjYyOmTZtmmH5InCFdP6f6nyDOcNhhh2HdunVaMI1gMIg777wTixcvxtKlS3H77bfjK1/5Cpqbm1FbW4vbbruNnz0usGXLFlx++eUYMWIEtm3bhptvvpkDHBdRp0mpvygDQGtrK7q7u3H99dfjs88+w5gxY7BhwwZceOGFWLhwYR6t7Z+cf/756O3txbBhw7B+/Xpcd9112i/3LS0tuPjii1FTU4PGxkZcffXVmDdvXp4t7r9cfvnlOOOMMwzrqFPdH5Idy5cvxxNPPIHf/OY3OOuss3D66adj0aJFKZ/73t5eXHLJJZAkCXv37sXZZ59N0UUIIYQQQgghhQKnFxJCCCGEEEKIi1B0EUIIIYQQQoiLUHQRQgghhBBCiItQdBFCCCGEEEKIi1B0EUIIIYQQQoiLUHQRQgghhBBCiItQdBFCCCGEEEKIi1B0EUIIIYQQQoiLUHQRQggheSAUCmHlypWO1LV7925s2LDBkboIIYQ4D0UXIYQMEB544AHU19dj2bJlafPOnTvXUj43bciWOXPmYO3atdpx/DXFp+eSUCiERYsWobKy0pH6Bg8ejBtvvBFvv/22I/URQghxFoouQggZIFx66aWYOHHigLHh0UcfxZQpUzJOd5Nf//rXOPTQQzF58mRH6vN4PLjttttw3nnnQVEUR+okhBDiHN58G0AIIST3hMNhnHbaaZg0aRJ6eno0TwkAPPbYY1i/fj3uuecePP300/jZz36G119/HS+//DIGDx6Mbdu24Y477sCIESNw//3346abbsI555yDL774AsuWLcPvfvc7PPLII6Z1p+K3v/0tfvnLX+LEE0+E3+/HRx99hFNOOQVXX301AODpp5/GM888g1GjRmHr1q249dZbMWbMGHR1deGiiy7C8OHD0dnZibKyMhx55JH4+c9/jmuvvRaLFy9OuKbZs2fjhhtu0NJT1a9e41lnnYUtW7bgo48+wjXXXIMLL7ww4/7/wx/+gIcffthwTt/+2rVrceWVV2Ljxo1a21u3bsUHH3yAW265Be+++y5ef/11VFdX45///Ce8Xi9GjBiBiooKvP766zj22GMzto0QQogLCEIIIQOGOXPmiNdee02EQiHxl7/8RTt/4oknipUrVybkE0KITz/9VHzlK18RkUhECCHE//zP/4izzjpLy3veeeeJM844QwghxFtvvSXeffddy3Wb2fezn/1MCCFEd3e3qK+vF6tWrRKfffaZGDFihOju7hZCCPHkk0+K2bNnCyGE+Otf/ypOOOEErY6bbrpJs+vhhx9O2q4+PVX9at5zzjlH64/6+npT+//yl7+IP/zhD+JnP/uZePTRR8XFF1+ckKe3t1cAEI2Njdq5+PbfeOMN8ctf/lJr+zvf+Y4QQohXX31VVFRUiM8//1wIIcSsWbPEyy+/rNVz6qmnirvuusvUtmz45z//6XidhBAykKCnixBCBiAejwfbt2/Hd7/7XVRVVWHTpk1Yt24djjjiiIS8r776Krq7u3HppZcCANrb29HV1WXIc9xxxwEAZs6cCSEE3nzzTUt1mzFr1iwAQCAQwJFHHomlS5eisrIS06ZNQyAQAADMnj0bZ555Jjo6OjBjxgxcddVVOPXUU3HmmWfihz/8oe3+eOWVV5LWX1FRoZ0DgAkTJmDnzp0JdXz00UeYM2cOfD4fTjvtNFx99dWor69PyPfll18CAMrLy1O2r7YHRPsVAMaPH4+KigptiuZ+++1nsKWyshJ79+61ff3pmDJlCq644grcfvvt8Pl8jtdPCCH9HYouQggZgDzxxBN46KGHsGbNGng8HixevBiRSCRp/v333x+//e1vteOOjg5Dut/vz7jubBk9ejTWr1+Pf/3rX/if//kf3HzzzVi9erXj7ajX6PF4IIRISFfXhz377LM4/vjjUV1djXnz5iXkq6mpAQD09PSgurraVtuSJBn6WpIkwxqurq4u1NbWJq3nn//8J2666SZLbeoRQuC9995DWVkZbr75ZtvlCSFkoEPRRQghA5CmpiZUV1fD4/EAALZu3WpIDwQCiEQi+OCDD3DYYYfhhhtuQGtrK6qrq7F27VrcfffdCWuSrNadjrfffhsLFixAT08PVq5ciWuvvRbV1dW46aab0NPTg0AggDfffBOzZ89GRUUFnnvuOZSWluLkk0/GySefjEGDBiWIwvhr6unpMaQdf/zxSeu3ytq1a1FRUYFXXnkFX//61xGJRPD6668nCK+ysjLU19dj165dGDZsmGn7b7zxBt59911tPZtVdu3ahQkTJiRNX7hwIRYuXGirTgB48803sW3bNpx99tm2yxJCCKHoIoSQAcNvf/tbLZjE3XffjX/+858444wzMHbsWLS0tOCxxx7DUUcdhUmTJuGb3/wm7r77bgghcOedd+LBBx/Ed77zHey///5oaWnBbbfdBiDqOVm1ahW2b9+Ouro6LFy4EN/+9reT1v3aa69pNowfPx6jR49OsLOrqwsXX3wxPv/8c1x11VU4/PDDAQD33nsvFi9ejPr6ejQ2NuLRRx8FAAwZMgQ33HADXnjhBezbtw8/+clP8Morr2h2TZ8+HdOnTzdc0+zZsxPSk9Wvv8ZZs2bhscceAwD87Gc/wy9/+UvN7pdeegmlpaUYO3Ys/vOf/2Dr1q0444wzTO/FN7/5Tbz11ls46KCDAACTJk3S2h85ciSam5tx1113JbT93//932hubsY999yDCRMmaGlHHHEERo8ejU2bNmHBggUOPTF9BAIBCi5CCMkCSZjNkSCEEELywNy5c3HDDTdg7ty5+TbFVZqbm3HGGWfg6aefRl1dnSN1XnfddZgyZQrOOeccR+ojhBDiHNynixBCSEHwwAMPYN26dbjzzjttT0ksNurq6vD444/jjTfecKS+xsZGzJw5k4KLEEIKFHq6CCGEEEIIIcRF6OkihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBeh6CKEEEIIIYQQF6HoIoQQQgghhBAXoegihBBCCCGEEBfx5tsAEkUIgQ8++AAHH38O0LUXsw89IN8mEUIIIYQQkhM+e2MlquDFXc8+ieOOOw6BQCDfJjmKJIQQ+TZioBKJRPDWW29h7unfg2hvBCK9kCpGQK5uAKSYHpajzkhJSnRKaudM8kjaOSkxv4osJ6ZJJuVkOSF/fDntb8o6Tcqb1B1fzng9CVVotqppxmuOvVebgUkFsrG8WZ1mDctS/BuLthhsN74x2KB2g5aWvLw+TVbzy8bj+PeA8ZZ6Ymmy9lefz5hmqCOuPaCvn7W6THzq8e3p88kmaQmPr+G64srJydP0SDC51rg+1T8zclwVZs+MVh4m12Xy/PW1l2hn3yOW+HzElzf0BxLzJ9qufzaNNkuGfEg4F28fNBtM7EPyCrRbarDdWKeZLWY2mP2rav878faa1GmWhtjXowQlaRoMX6Gx/FqakpCWsg59fq1es3ZUm03StDribEmwJ86kuHLGOs2uJ66cPk0RsVMmaXF1CJNyqersq8akzthfw7DGzIa+xpPm6bM9Rf/pbFDb1Mrp7E1IM9QhYlUlticS+jHxGUjIoztnVlffcWJ+Ed8funzx5fW2m12fll+7vuTPv6FbtOsx/k1mQ1/bZtdlrFMxG+4qZjao12xsw8wGU/vM2ot/dHRp2u0ySdeqNPn8iGvO0IxZufjuM9iQok4Rq8Pk6U2wU59Pe5xM2klmgwCwC73Yim70QkE9Arjpsf/BSSedhJqaGhMLiguKrhzT3d2NV199Fad+5wqI9h0AAKmyHlLVKEjlwyDJHkglZVp+SfYY/uqJT5M8fXlkk3LxdRgEUnxd+nKe9Dakas/SNXiSlzO2YzJw1kRT4oBbS0shGuLz6OuIFz56ZJNy8e2YpZnWYSZc4uq3aoMn9j7+b/z7+GNvynKyafmk+aXkdSVrLxvbrZTzmPWfaqeJwDQThZ64KozizliXoVyK5y8+v8dQp5onRXkTcW1qewrR2vfbRHKxZir44vLrb5Elwai1n3jNcb+XJORLyB93rM8fn8dYPtG+eNEkpRQbiYNyyUw0pKpDMWknvn6T8inbMbM9ftBv13YlYnIJJmmx9yISSWw3rg5hKKcYz5mkaeUiie1p7Zq1Z8V2XR67tmviJGL8a5ZmvA4lVnWi7fF1mYk2xaw9k/zxbeuPlQTbk1+Xue3J2xMRYchjKK+Kk4hIUS4xTY8q5szaUc85akPcPTCWU9tTkqZp5XT/e5HYe32W+HMRk6G6WVrfueRp8W2Y5TezxUx02bXdig1diEBAoAUhbEMPtqEbrQhhGPz42QN34dRTT0V9fb2JNYUP13TlgJaWFjz++OOQqxtQVlGFhd84C/CUwNMwC55JC+EZeTjkynpTUUIIIYQQQshAQYKEOvhwEKpwMoZhIYajHgHccOmVGDVyJIZIftxyyy34/PPP822qLbimyyUaGxvxj3/8A9//8f+D6NwDBKohV46CPGQy4K82/cWWEEIIIYQQ0kclvDgQlTgQlehBBNvRg99cdyOuv+46VMCLBpTioVWvYsaMGZDN1jMUCBRdDvLpp59iytwzobQ3At0tQNlgyFUjIdcfBslXnm/zCCGEEEIIKVoC8GB/lGN/lCMEBTvQg23owdFHHIkSyBiFAO5/+W+YO3cuSkpK8m2uAYquLFAUBe+++y6OOnkxRFsjEOqCVDEMcu1+kEbXQ/L2r6grhBBCCCGEFAIlkDEGZRiDMkQgsBu92IZunPrVryEMgVEoxe1P/xELFixARUVFvs2l6LJLMBjEsmXL8LVvXRoNhKGEIVXWQx42LRoIw1NYqpoQQgghhJD+jAcS6hFAPQI4HDVoQghb0Y3vnvEtdCCMegRw4//9BqeccgqGDBmSFxsLd+JjAdHR0YGnnnoKcs0Y+EsrsOCk0wBJgjzycHgOOA2eUUdCrhpFwUUIIYQQQkgekSBhMHw4BNU4FcNxMoZhCHy49oJLMGzoUAyT/LjrrruwadOmnNpF0ZWEPXv24P/+7/8gV9ajsqoa3/z2hUBJOTxj58Az8RR4RhwKuWK46d5ThBBCCCGEkPxTjRJMQRVOwFB8HSMwFmW4/arrsN/48aiTfDhIqsLatWvh9i5anF6o44svvsCEmd+A0r4d6GoCSusgV46EPHw6JH9Vvs0jhBBCCCGEZEgZPJiECkxCBYJQsD22F9iM6QcjABkNKMVvX38es2bNgsfj7FZOFF0xpNJaoGcfUDYEcvUYSKNmQiopzbdZhBBCCCGEEIfxQcZ4lGE8yhCGwC70YCu6ceycOSiBjDkYhH+JPY61R9EVQyofChEJAT0tEF4/IHuBynpIHl++TSOEEEIIIYS4gAKBJgSxE73YhV7IkDAMftz9yeuOtkPRFUP58nMIIfDBBx/g4OPPgdL0ObDjXUhlQyBVjYRUORJSSVm+zSSEEEIIIYRkQRgCO2NTC7ejBwDQgACefO4fmD9/PgIB57d9oujSIUkSDjroICh7PgIAbNq0Cfsf9XUorduAnauB0lrIlaOiIoxrvAghhBBCCCkKeqGgEd3Yhh7sQI+2huuVN5Zh5syZjq/hioeiKwXjxo1DZNdqANFohs899xwuvOJnUPZ+BJSUQ6oaBblyJFBaB0mS8mwtIYQQQgghRKULEWxDN7aiG7vRixqUoAGleHbtSkydOjWn43fGO7fI0KFD8d3vfhdKeyPa21rx1OMPAaEuRLa8jsi6ZxHZ8R6Ujl0QQsm3qYQQQgghhAxIWhHCh2jDC9iNZ7ATm9GFa++6BRu/+ALNIoi1ohXTpk3LucOEnq4MqKiowBlnnAHljDMQDAbx+uuvY8GZl0BpfAdQwpAq66NrwCqGc8NkQgghhBBCXEJA4EsEsS22RqsDYdQjgNsf+h1OPvlkDBkyJN8mAqDoyhqfz4fjjz8eSvMGKIqC9957D0eetBjKng+BxpWQyofHAnHUQ/I6vyiPEEIIIYSQgUQEArvRi23oxjZ0IwKBkSjFQ08/gQULFqCioiLfJiZA0eUgsizj8MMPh7L3EwDAZ599hslzzoTSshHY8R5QNhhy5cioCPMV3sNACCGEEEJIIRKCgh2xvbQa0QMvJDSgFP985V+YM2cOSkoKe3YZRZeLHHDAAYjsXgsAaGxsxD/+8Q98/8f/D8rutUCgGlLlSMhVIwF/DQNxEEIIIYQQoqMbEWyPTRvciR5UwIvRKMXyVSsxY8YMyHLxhKcoHkuLnJEjR+LSSy+F0rELzc1NeOx/7wd6WxHZ9G9E1j+PyK7VEJ17GIiDEEIIIYQMWNoRxidox7+wB3/FTmxAJ35wyw34+NNP0SpC+FC04fDDDy8qwQUAkhBC5NuIgUx3dzeWLl2Khd++HKJ9BwBAqqwH5KgTUvOAmXjCJKhpckIetZzBg5ZQR2J+mLQnmdSfaEPy9iQkL5+qnMEGmORLuAw1T2JVfbaYoLWXWGV8+RTNmtpnvK7kTZvZrnUtEu1LtKEvUda6z6Q/Eto3KxfXbpK64puWDfnjyiUWS7DT2HbytL7y9spJJlaY3PqE/Kn7T59mzG+sM3k/xD9Hskkna18rZmkpngtDP8TnsXhdyfJEzxkv1jRPCie+mXVm/ZfSBilFnhR19WUx+f9P+Fo0+Zo0++qMnZO0/Lo8pt+0Iq4us/wmaUnzJNZluPZU1xVflyGv2Tnz9vTntOGFMLPP7Dguf4pywjRNSTClr67EHzT7Llkx5rVog76h+Gs1Npe8/4QSV87QnnndhvJamtm5VP2XeGBWLlXbmn2xaxBmz6HWtSnKG9qLtymZ0cny6/LE3VZzG5K3Y/5op3oO1XbT226WpBjSjXWYfXyYpcWZYLgnCU+vienq9RhtsWmD2n8m5eJvgWJi3x4E0YoQhsGPnz1wF0499VTU19ebtF58UHQVEJFIBK+99hpuuukmzJw5E14vZ3/qCYfDWL58OY4++mj2jQ72S3LYN+awX5LDvjGH/ZIc9o057Bdz2C/JCYfD+OSTT/Dggw9i2LBh+TbHcSi6Coy2tjZUV1ejtbUVVVVV+TanoGDfmMN+SQ77xhz2S3LYN+awX5LDvjGH/WIO+yU5/b1vimsyJCGEEEIIIYQUGRRdhBBCCCGEEOIiFF2EEEIIIYQQ4iIUXQWG3+/HL37xC/j9/nybUnCwb8xhvySHfWMO+yU57Btz2C/JYd+Yw34xh/2SnP7eNwykQQghhBBCCCEuQk8XIYQQQgghhLgIRRchhBBCCCGEuAhFFyGEEEIIIYS4CEVXATB//nwMHz5ce1VXV+P66683zfvBBx/g5JNPxpIlS3D66adj+/btObY2dyxbtgzV1dWGvunt7TXN293djWuvvRZXX301lixZggULFuTY2vywadMmVFVV4ZFHHjFNb2pqwvnnn48f/OAHuPzyy7Fw4UJs2LAht0bmkPvvvx9nn302rrnmGpxyyil49NFHk+Z98cUXccIJJ+Cqq67CwoUL8fTTT+fQ0vzwxhtvYOrUqbjmmmss5b/jjjsgSZLLVuWHrVu34rTTTsOSJUtw8skn46OPPjLN9+STT+LUU0/FhRdeiO9973sIhUI5tjS3hEIh3HbbbSgvL0/aJ/q8hxxyCBYvXpwb4/KE1c9RRVFw9dVX46yzzsIVV1yBU089Fdu2bcuDxbkn1WfF0qVLsWjRIvzoRz/CWWedhR//+MdQFCXHFuaexYsXG8YvS5YsSZp39erVuPTSS3HVVVfh1FNPxQMPPJBDS3PL5s2bUVFRYegbn8+H9evXJ+S9++67sWjRIpx77rn46U9/mgdrHUaQvPP973/fcHzOOeeIjz/+2DTv5MmTxcqVK4UQQvz5z38WCxcudN2+fPHaa6+Jhx9+2FLeK6+8UvznP//Rjt966y2XrCocIpGI+MY3viGmTJmStJ9Wr14tLrnkEu343nvvFXPmzMmNgXlg/vz5oqurSwghxN69e0VpaanYuHGjad6hQ4eKpUuXCiGE2LBhg/D5fFrZ/sjatWvFnXfeKc455xxx9dVXp83/4YcfihNPPFH016+JE088UTzxxBNCCCHefvttMW3atIQ8jY2NYsSIEaK9vV0IIcTFF18s7rzzzpzamWvuv/9+sWLFCgFAfPjhhynz/td//ZeYO3euOO+883JjXJ6w+jn6wgsviNGjRwtFUYQQ0f759re/nSsz80a6z4orrrhCrFq1Sjs+9NBDLX+3FzNW/y+6urrESSedJEKhkBBCiM7OTrFmzRoXLcsvW7duFbfeeqt23NLSIo499tiEfO+8846YPHmyCIfDQgghFixYIJ555pmc2ekG9HQVAPfdd5/2fvfu3WhubsaBBx6YkO/999/H7t27ccQRRwAATj75ZDz33HNobm7Oma255h//+AeuvvpqXHrppVi6dKlpnu7ubjz33HN4//33cd111+Gyyy7D0KFDc2xp7vn1r3+Nb3/72xg0aFDSPNOnT8dvfvMb7Xj8+PFobGzMhXl54eWXX0ZpaSkAYPDgwSj//+3df0xV9RsH8LfCkFAh1MJuiuSSmT+aYkaaAnVjIgpIEBuyFNlU7CqKP9Plr2qSU1KbUWwNowiFbqH5g2a0Mgm9i1SSLUAaV5MQRJ2KFwXx+f7B1/PlclHBr+fcvL5fmxufc55z7nM/u/dzznPOPR979kRNTU2HsU8//TRqa2sBAOfOnYOTk5NDX319/vnnkZycDGdn53vGNjc345133kFKSooGmWnvwoULyM/Px5QpUwAAL730Eqqrq3HixAmruF27dmH8+PHo1asXgNYxNzMzU+t0NWUwGDBu3Lh7xh05cgSNjY0IDAzUICv76uw42r9/f1y/fh0NDQ0AWscVR9eZseLDDz/Eiy++qLSfeeYZhz4OtbVq1SosXboUS5YsQV1dXYcxOTk5GDBgAN59910sXrwYW7du7fAc0FEMHDgQy5cvV9oZGRmYNWuWTdyXX36JkJAQODk5AXCM8ffeR1/SVHp6OubMmdPhOrPZDC8vL6Xdq1cvuLq64vTp0+jTp49WKWrG29sbc+fORUhICC5dugQ/Pz9kZ2fbnBCYzWZUVlaie/fuSElJgclkQlBQEMrLy9GzZ087Za+ukydPorKyEsuWLcOWLVvuGtv2Jx979+6FwWBQOz276d79f9eRjh49ioEDB97xBDInJwexsbEoKCiAyWTC119/7bCfl65at24dkpKS4O7ubu9UVHH69Gm4ubkpxRQAeHl5oaqqCqNGjVKWmc1m9O/f3ybmUXft2jVs2LABubm52Lhxo73T0URnxtHRo0dj/fr1eO211+Dj44P6+npkZ2drmabmOjNWtB2XGxoa8PvvvyM1NVWL9OwqPDwc48ePR//+/fHtt99Cr9fj+PHjNhe+/vzzTxiNRpSVlaFfv3546623sGzZMmzdutU+iWvo1q1bMBqN+Omnn2zWmc1mBAQEKG1HGH9ZdGlAr9fjr7/+6nBdYWEhBgwYAKD1itH3339/x+e5HM29+mXw4MEYPHgwAMDT0xNhYWHYuXOnzUn01atXAQDR0dEAAH9/f/To0QOFhYUP7bNdd+ubX375BatWrUJWVlaX9rl//35YLBYsXLjwQaRoF539Ll28eBGrV6+G0Wi0OuDf1tjYiEmTJiEzMxMTJ05ERUUF4uLiEBgYaHUi/jDpbN/cS1FRESwWC1599VWYzeYHmCE5irfffhurV69W7io/Su42jubn5yMtLQ0mkwmPPfYY1q9fj/T0dKxZs8YOmaqvq2OFiMBgMOCjjz6Ct7e3+gna2euvv271d3x8PP744w/4+flZxV29ehUBAQHo168fACA2NhYxMTGPRNGVn58PvV7vsP8ZcnssujRwp5/FtffNN98gIiJCuZXano+Pj/JzKKD1ilFjYyMGDRr0QPLU2r365dSpUxgyZIjSdnFxweXLl23ibp9Mtu03FxcXXL9+/QFlqr279U1hYSEAYMWKFQCAiooKZGZmorS0FJs3b+5wm/3792PPnj3YsWPHQz0xQme+S/X19Zg9ezbS0tKUor290tJS1NXVYeLEiQAAX19fWCwWHDx40OpA+TDp7DhzL3v27MGlS5eQmJioXNBITExEcHAwoqKiHshr2NugQYNgsVjQ0NCgFNl1dXXw8fGxivPx8UFRUZHSrq2ttYl51FgsFpw8eRIZGRnIyMhAcXExrl69isTERKxZswY6nc7eKarmXuPovn37EBAQoBSjoaGh0Ov1Dlt0dWWsaGlpwfz58xEVFYWpU6faI13NVVRUwNfXV2m7uLigsbHRJm7AgAE4f/68VdzDfP7SFZ988gnS09M7XOfj42P1E12HGH/t/VAZ/Y9er5f6+nqrZWVlZcrD/rdu3ZJhw4ZZTaQxdepUzfPUysyZM5UJRVpaWmTMmDHKg+/V1dWye/duJXbChAly4MABZV3fvn2ltrZW+6TtIDAw0Oqh5PZ9k5ubK0lJScrD3UlJSVqnqJnq6mqJiIiQ06dPi0jrhCodfWbq6uqkR48eYjabRUTk8uXL4u7uLr/99pt9EtfQzJkzbSbSaP+Zua2qqsphJ9KYPHmy1UQaI0eOFBGRgoICqaioEBGRs2fP2kyksXnzZvskrDG0m0ijbb+0tXbtWoefSEPkzuNo237Ztm2b1YQAO3bskOHDh2ufrB20Hyva9ktTU5PEx8dLQUGBst6Rj0O3jR07Vvn7xIkT8sQTT8iVK1dExLp/ysvLZdCgQdLU1CQiIps2bZKYmBjtE9ZYeXm5zfvMy8uTf/75R0RETCaTzUQaRqNR8zwfJMc8mj6Ejh07JgkJCTbLN27caFVYHT9+XEJDQ2Xu3LkSHh4uZ86c0TJNTe3cuVNCQkIkOTlZYmJi5P3331fWZWdnW802ZjabJSYmRpKTkyUyMlIOHjxoj5Q1ZbFYxGAwiE6nE71eL5999pmIWPdNSUmJODk5iZeXl/LP1dXVnmmr6oUXXhB3d3flvXp6eioFafvPjNFolMmTJ8uiRYskNDRUtmzZYp+kNdLc3CwGg0GGDh0qo0aNksWLFyvr2veNSOvsoTNmzBAAYjAYpLS0VOuUVWU2myU8PFzmzp0roaGhUlJSIiKtsxpu2rRJifvqq68kLCxMEhISJCEhQW7cuGGvlDVx+PBhMRgMAkBiY2MlNzdXRGz7RUQkJSVFxo4dK0OHDpUVK1bYI11N3G0cbdsvTU1NMm/ePImLi5OkpCQJDg62mlXXUXU0VrTtl6VLl4qrq6tV/z0KhXp8fLzExsbKokWLZMqUKVJYWKisa/99ys7OlunTp8vChQslNjZW6urq7JGyphYsWCCHDh2yWjZy5EjlYpiISGpqqkRFRUlcXJwsX75c6xQfuG4iIva800ZEREREROTIOGU8ERERERGRilh0ERERERERqYhFFxERERERkYpYdBEREREREamIRRcREREREZGKWHQRERERERGpiEUXERERERGRilh0ERERERERqYhFFxEROYzm5mYcPXpUlX3X1taisrJSlX0TEZFjY9FFREQOobm5GW+88QZ69+6NtLQ06HQ6/PzzzzZxhw8fxiuvvIInn3wSiYmJmDVrFgICAlBUVHTX/ffr1w/r16/HkSNHVHoHRETkqLqJiNg7CSIiov/XBx98gObmZqxevRoAEBQUhHXr1iEoKMgm9vPPP8f27dtRXFwMADAajZg/fz5qamrQrVu3O75GTU0NAgMDUVZWhu7ded2SiIg6h0cMIiKym/r6eiQkJGDChAkYN24cIiMj7/snfJmZmQgODu7wNcaMGYNp06bhhx9+6HDb4cOHo7a2FhcvXsTNmzcxdepULFmyBAaDAWvXrlXinnrqKfTq1QuHDh26rxyJiOjRxKKLiIjs4ubNm5g9ezZSUlJw4MABeHh4IC8vD88++2yX99XU1ISysjJ4e3vbrDt69CgiIiKwe/fuDosyAMjPz8eIESPQt29fAMDMmTORmpqKjz/+GMXFxTCZTEqst7c3SkpKupxjV+3du1f11yAiIm042zsBIiJ6NOXk5CAkJAReXl4AWouw+1VfXw8A6Nmzp9XyvLw85OTkoLy83GabM2fOIDExETdu3ICzszP2798PAHBycsLZs2eRkJAAd3d3VFVVoaKiAv7+/gCA3r174/z58/eda2eNGDECCxcuxKZNm+Di4qL66xERkXpYdBERkV2YTCbMmDEDAFBaWornnnsOQGsxVFlZiR9//BENDQ1YsmSJVbujIuTxxx8HAFy/fh0eHh7Kck9PT0RHR2PBggX44osvrLbx9vbGp59+apPXrl27kJGRgRMnTsDJyQnx8fFoaWlR1lssFnh6enb6fX733XfYsGFDp+NvExEUFxfDzc0NKSkpXd6eiIj+PVh0ERGRXfj6+irFzPbt27FmzRoAgLOzM15++WUUFBTgvffeQ0NDg1W7o7s+bm5u0Ol0OHfunHLnDGidTMPf3x9+fn7Iy8tDZGTkPfO6cOECPDw84OTkBKC1CGzr3LlzGDJkSKffZ3h4OMLDwzsdf9vhw4fx999/Y/r06V3eloiI/l34TBcREdnFvHnzUFFRgezsbKxcuRI6nQ4A4OHhgeLiYowePRpXrlyxad9JTEwMfv31VwDAjh07cOrUKWzbtg21tbXQ6XSYM2cOUlNTUVhYiKysLJw5cwbz589HU1OT1X7efPNNuLm5ITo6GkuXLsWlS5eQlZWF8vJyXLt2DVVVVZg0aZJ6HfNfrq6uLLiIiBwEp4wnIqJ/leXLl2P48OFobGzEsGHDsG/fPqt2QEBAh9tdvHgR0dHRMBqN6NOnjyq5rVy5EiNGjEBcXJwq+yciIsfEoouIiBxGTU0NTCYTpk2b9sD3XV1djWPHjiEsLOyB75uIiBwbiy4iIiIiIiIV8ZkuIiIiIiIiFbHoIiIiIiIiUhGLLiIiIiIiIhWx6CIiIiIiIlIRiy4iIiIiIiIVsegiIiIiIiJSEYsuIiIiIiIiFbHoIiIiIiIiUhGLLiIiIiIiIhWx6CIiIiIiIlIRiy4iIiIiIiIV/QfjBqq5FUJl0AAAAABJRU5ErkJggg==",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x800 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -415,13 +434,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 9,
+   "execution_count": 17,
    "id": "3dc23fa5",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x266.667 with 1 Axes>"
       ]
@@ -444,13 +463,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 10,
+   "execution_count": 18,
    "id": "01331785",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 400x266.667 with 1 Axes>"
       ]
@@ -477,7 +496,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 11,
+   "execution_count": 19,
    "id": "aa8babfc",
    "metadata": {},
    "outputs": [],
@@ -495,7 +514,7 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 12,
+   "execution_count": 20,
    "id": "fb74516a",
    "metadata": {},
    "outputs": [],
@@ -545,13 +564,13 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 13,
+   "execution_count": 21,
    "id": "10caa55e",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 266.667x400 with 1 Axes>"
       ]
@@ -578,19 +597,29 @@
   },
   {
    "cell_type": "code",
-   "execution_count": 14,
+   "execution_count": null,
    "id": "94e5f980",
    "metadata": {},
    "outputs": [
     {
      "data": {
-      "image/png": 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",
+      "image/png": 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",
       "text/plain": [
        "<Figure size 1000x800 with 2 Axes>"
       ]
      },
      "metadata": {},
      "output_type": "display_data"
+    },
+    {
+     "data": {
+      "image/png": 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",
+      "text/plain": [
+       "<Figure size 1000x800 with 4 Axes>"
+      ]
+     },
+     "metadata": {},
+     "output_type": "display_data"
     }
    ],
    "source": [
@@ -1624,7 +1653,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "testenv",
+   "display_name": ".venv",
    "language": "python",
    "name": "python3"
   },
@@ -1638,7 +1667,7 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.12.11"
+   "version": "3.12.12"
   }
  },
  "nbformat": 4,
diff --git a/src/weac/analysis/__init__.py b/src/weac/analysis/__init__.py
index 7f08d60..b7436b1 100644
--- a/src/weac/analysis/__init__.py
+++ b/src/weac/analysis/__init__.py
@@ -8,7 +8,7 @@
     CoupledCriterionResult,
     CriteriaEvaluator,
     FindMinimumForceResult,
-    SSERRResult,
+    SteadyStateResult,
 )
 from .plotter import Plotter
 
@@ -18,6 +18,6 @@
     "CoupledCriterionHistory",
     "CoupledCriterionResult",
     "FindMinimumForceResult",
-    "SSERRResult",
+    "SteadyStateResult",
     "Plotter",
 ]
diff --git a/src/weac/analysis/analyzer.py b/src/weac/analysis/analyzer.py
index 47e6016..cf67977 100644
--- a/src/weac/analysis/analyzer.py
+++ b/src/weac/analysis/analyzer.py
@@ -214,7 +214,7 @@ def get_zmesh(self, dz=2):
             ],  # Convert to t/mm^3
             "tensile_strength": [
                 layer.tensile_strength for layer in self.sm.slab.layers
-            ],
+            ],  # in kPa
         }
 
         # Repeat properties for each grid point in the layer
@@ -225,7 +225,7 @@ def get_zmesh(self, dz=2):
         return si
 
     @track_analyzer_call
-    def Sxx(self, Z, phi, dz=2, unit="kPa"):
+    def Sxx(self, Z, phi, dz=2, unit="kPa", normalize: bool = False):
         """
         Compute axial normal stress in slab layers.
 
@@ -239,6 +239,10 @@ def Sxx(self, Z, phi, dz=2, unit="kPa"):
             Element size along z-axis (mm). Default is 2 mm.
         unit : {'kPa', 'MPa'}, optional
             Desired output unit. Default is 'kPa'.
+        normalize : bool, optional
+            Toggle normalization. If True, normalize stress values to the tensile strength of each layer (dimensionless).
+            When normalized, the `unit` parameter is ignored and values are returned as ratios.
+            Default is False.
 
         Returns
         -------
@@ -258,13 +262,13 @@ def Sxx(self, Z, phi, dz=2, unit="kPa"):
         m = Z.shape[1]
 
         # Initialize axial normal stress Sxx
-        Sxx = np.zeros(shape=[n, m])
+        Sxx_MPa = np.zeros(shape=[n, m])
 
         # Compute axial normal stress Sxx at grid points in MPa
         for i, z in enumerate(zi):
-            E = zmesh["E"][i]
+            E_MPa = zmesh["E"][i]
             nu = zmesh["nu"][i]
-            Sxx[i, :] = E / (1 - nu**2) * self.sm.fq.du_dx(Z, z)
+            Sxx_MPa[i, :] = E_MPa / (1 - nu**2) * self.sm.fq.du_dx(Z, z)
 
         # Calculate weight load at grid points and superimpose on stress field
         qt = -rho * G_MM_S2 * np.sin(np.deg2rad(phi))
@@ -274,14 +278,22 @@ def Sxx(self, Z, phi, dz=2, unit="kPa"):
         # Sxx[-1, :] += qt[-1] * (zi[-1] - zi[-2])
         # New Implementation: Changed for numerical stability
         dz = np.diff(zi)
-        Sxx[:-1, :] += qt[:-1, np.newaxis] * dz[:, np.newaxis]
-        Sxx[-1, :] += qt[-1] * dz[-1]
+        Sxx_MPa[:-1, :] += qt[:-1, np.newaxis] * dz[:, np.newaxis]
+        Sxx_MPa[-1, :] += qt[-1] * dz[-1]
+
+        # Normalize tensile stresses to tensile strength
+        if normalize:
+            tensile_strength_kPa = zmesh["tensile_strength"]
+            tensile_strength_MPa = tensile_strength_kPa / 1e3
+            # Normalize axial normal stress to layers' tensile strength
+            normalized_Sxx = Sxx_MPa / tensile_strength_MPa[:, None]
+            return normalized_Sxx
 
         # Return axial normal stress in specified unit
-        return convert[unit] * Sxx
+        return convert[unit] * Sxx_MPa
 
     @track_analyzer_call
-    def Txz(self, Z, phi, dz=2, unit="kPa"):
+    def Txz(self, Z, phi, dz=2, unit="kPa", normalize: bool = False):
         """
         Compute shear stress in slab layers.
 
@@ -295,6 +307,9 @@ def Txz(self, Z, phi, dz=2, unit="kPa"):
             Element size along z-axis (mm). Default is 2 mm.
         unit : {'kPa', 'MPa'}, optional
             Desired output unit. Default is 'kPa'.
+        normalize : bool, optional
+            Toggle normalization.  If True, normalize shear stress values to the tensile strength of each layer (dimensionless).
+            When normalized, the `unit` parameter is ignored and values are returned as ratios. Default is False.
 
         Returns
         -------
@@ -332,14 +347,22 @@ def Txz(self, Z, phi, dz=2, unit="kPa"):
 
         # Integrate -dsxx_dx along z and add cumulative weight load
         # to obtain shear stress Txz in MPa
-        Txz = cumulative_trapezoid(dsxx_dx, zi, axis=0, initial=0)
-        Txz += cumulative_trapezoid(qt, zi, initial=0)[:, None]
+        Txz_MPa = cumulative_trapezoid(dsxx_dx, zi, axis=0, initial=0)
+        Txz_MPa += cumulative_trapezoid(qt, zi, initial=0)[:, None]
+
+        # Normalize shear stresses to tensile strength
+        if normalize:
+            tensile_strength_kPa = zmesh["tensile_strength"]
+            tensile_strength_MPa = tensile_strength_kPa / 1e3
+            # Normalize shear stress to layers' tensile strength
+            normalized_Txz = Txz_MPa / tensile_strength_MPa[:, None]
+            return normalized_Txz
 
         # Return shear stress Txz in specified unit
-        return convert[unit] * Txz
+        return convert[unit] * Txz_MPa
 
     @track_analyzer_call
-    def Szz(self, Z, phi, dz=2, unit="kPa"):
+    def Szz(self, Z, phi, dz=2, unit="kPa", normalize: bool = False):
         """
         Compute transverse normal stress in slab layers.
 
@@ -353,6 +376,10 @@ def Szz(self, Z, phi, dz=2, unit="kPa"):
             Element size along z-axis (mm). Default is 2 mm.
         unit : {'kPa', 'MPa'}, optional
             Desired output unit. Default is 'kPa'.
+        normalize : bool, optional
+            Toggle normalization. If True, normalize stress values to the tensile strength of each layer (dimensionless).
+            When normalized, the `unit` parameter is ignored and values are returned as ratios.
+            Default is False.
 
         Returns
         -------
@@ -392,11 +419,19 @@ def Szz(self, Z, phi, dz=2, unit="kPa"):
         # Integrate dsxx_dxdx twice along z to obtain transverse
         # normal stress Szz in MPa
         integrand = cumulative_trapezoid(dsxx_dxdx, zi, axis=0, initial=0)
-        Szz = cumulative_trapezoid(integrand, zi, axis=0, initial=0)
-        Szz += cumulative_trapezoid(-qn, zi, initial=0)[:, None]
+        Szz_MPa = cumulative_trapezoid(integrand, zi, axis=0, initial=0)
+        Szz_MPa += cumulative_trapezoid(-qn, zi, initial=0)[:, None]
 
-        # Return shear stress txz in specified unit
-        return convert[unit] * Szz
+        # Normalize tensile stresses to tensile strength
+        if normalize:
+            tensile_strength_kPa = zmesh["tensile_strength"]
+            tensile_strength_MPa = tensile_strength_kPa / 1e3
+            # Normalize transverse normal stress to layers' tensile strength
+            normalized_Szz = Szz_MPa / tensile_strength_MPa[:, None]
+            return normalized_Szz
+
+        # Return transverse normal stress Szz in specified unit
+        return convert[unit] * Szz_MPa
 
     @track_analyzer_call
     def principal_stress_slab(
@@ -438,6 +473,8 @@ def principal_stress_slab(
             'min', or if normalization of compressive principal stress
             is requested.
         """
+        convert = {"kPa": 1e3, "MPa": 1}
+
         # Raise error if specified component is not available
         if val not in ["min", "max"]:
             raise ValueError(f"Component {val} not defined.")
@@ -460,9 +497,10 @@ def principal_stress_slab(
         # Normalize tensile stresses to tensile strength
         if normalize and val == "max":
             zmesh = self.get_zmesh(dz=dz)
-            tensile_strength = zmesh["tensile_strength"]
+            tensile_strength_kPa = zmesh["tensile_strength"]
+            tensile_strength_converted = tensile_strength_kPa / 1e3 * convert[unit]
             # Normalize maximum principal stress to layers' tensile strength
-            normalized_Ps = Ps / tensile_strength[:, None]
+            normalized_Ps = Ps / tensile_strength_converted[:, None]
             return normalized_Ps
 
         # Return absolute principal stresses
diff --git a/src/weac/analysis/criteria_evaluator.py b/src/weac/analysis/criteria_evaluator.py
index 9ace556..0f9d331 100644
--- a/src/weac/analysis/criteria_evaluator.py
+++ b/src/weac/analysis/criteria_evaluator.py
@@ -95,9 +95,38 @@ class CoupledCriterionResult:
 
 
 @dataclass
-class SSERRResult:
+class MaximalStressResult:
     """
-    Holds the results of the SSERR evaluation.
+    Holds the results of the maximal stress evaluation.
+
+    Attributes:
+    -----------
+    principal_stress_kPa: np.ndarray
+        The principal stress in kPa.
+    Sxx_kPa: np.ndarray
+        The axial normal stress in kPa.
+    principal_stress_norm: np.ndarray
+        The normalized principal stress to the tensile strength of the layers.
+    Sxx_norm: np.ndarray
+        The normalized axial normal stress to the tensile strength of the layers.
+    max_principal_stress_norm: float
+        The normalized maximum principal stress to the tensile strength of the layers.
+    max_Sxx_norm: float
+        The normalized maximum axial normal stress to the tensile strength of the layers.
+    """
+
+    principal_stress_kPa: np.ndarray
+    Sxx_kPa: np.ndarray
+    principal_stress_norm: np.ndarray
+    Sxx_norm: np.ndarray
+    max_principal_stress_norm: float
+    max_Sxx_norm: float
+
+
+@dataclass
+class SteadyStateResult:
+    """
+    Holds the results of the Steady State evaluation.
 
     Attributes:
     -----------
@@ -107,15 +136,21 @@ class SSERRResult:
         The message of the evaluation.
     touchdown_distance : float
         The touchdown distance.
-    SSERR : float
-        The Steady-State Energy Release Rate calculated with the
-        touchdown distance from G_I and G_II.
+    energy_release_rate : float
+        The steady-state energy release rate calculated with the
+        touchdown distance from the differential energy release rate.
+    maximal_stress_result: MaximalStressResult
+        The maximal stresses in the system at the touchdown distance.
+    system: SystemModel
+        The modified system model used for the steady state evaluation.
     """
 
     converged: bool
     message: str
     touchdown_distance: float
-    SSERR: float
+    energy_release_rate: float
+    maximal_stress_result: MaximalStressResult
+    system: SystemModel
 
 
 @dataclass
@@ -641,12 +676,12 @@ def evaluate_coupled_criterion(
             _recursion_depth=_recursion_depth + 1,
         )
 
-    def evaluate_SSERR(
+    def evaluate_SteadyState(
         self,
         system: SystemModel,
         vertical: bool = False,
         print_call_stats: bool = False,
-    ) -> SSERRResult:
+    ) -> SteadyStateResult:
         """
         Evaluates the Touchdown Distance in the Steady State and the Steady State
         Energy Release Rate.
@@ -688,12 +723,19 @@ def evaluate_SSERR(
         system_copy.update_scenario(segments=segments, scenario_config=scenario_config)
         touchdown_distance = system_copy.slab_touchdown.touchdown_distance
         analyzer = Analyzer(system_copy, printing_enabled=print_call_stats)
-        G, _, _ = analyzer.differential_ERR(unit="J/m^2")
-        return SSERRResult(
+        energy_release_rate, _, _ = analyzer.differential_ERR(unit="J/m^2")
+        maximal_stress_result = self._calculate_maximal_stresses(
+            system_copy, print_call_stats=print_call_stats
+        )
+        if print_call_stats:
+            analyzer.print_call_stats(message="evaluate_SteadyState Call Statistics")
+        return SteadyStateResult(
             converged=True,
-            message="SSERR evaluation successful.",
+            message="Steady State evaluation successful.",
             touchdown_distance=touchdown_distance,
-            SSERR=G,
+            energy_release_rate=energy_release_rate,
+            maximal_stress_result=maximal_stress_result,
+            system=system_copy,
         )
 
     def find_minimum_force(
@@ -1170,3 +1212,51 @@ def _fracture_toughness_exceedance(
 
         # Return the difference from the target
         return g_delta_diff - target
+
+    def _calculate_maximal_stresses(
+        self,
+        system: SystemModel,
+        print_call_stats: bool = False,
+    ) -> MaximalStressResult:
+        """
+        Calculate the maximal stresses in the system.
+
+        Parameters
+        ----------
+        system : SystemModel
+            The system model to analyze.
+        print_call_stats : bool, optional
+            Whether to print analyzer call statistics. Default is False.
+
+        Returns
+        -------
+        MaximalStressResult
+            Object containing both absolute (in kPa) and normalized stress fields,
+            along with maximum normalized stress values.
+        """
+        analyzer = Analyzer(system, printing_enabled=print_call_stats)
+        _, Z, _ = analyzer.rasterize_solution(num=4000, mode="cracked")
+        Sxx_kPa = analyzer.Sxx(Z=Z, phi=system.scenario.phi, dz=5, unit="kPa")
+        principal_stress_kPa = analyzer.principal_stress_slab(
+            Z=Z, phi=system.scenario.phi, dz=5, unit="kPa"
+        )
+        Sxx_norm = analyzer.Sxx(
+            Z=Z, phi=system.scenario.phi, dz=5, unit="kPa", normalize=True
+        )
+        principal_stress_norm = analyzer.principal_stress_slab(
+            Z=Z, phi=system.scenario.phi, dz=5, unit="kPa", normalize=True
+        )
+        max_principal_stress_norm = np.max(principal_stress_norm)
+        max_Sxx_norm = np.max(Sxx_norm)
+        if print_call_stats:
+            analyzer.print_call_stats(
+                message="_calculate_maximal_stresses Call Statistics"
+            )
+        return MaximalStressResult(
+            principal_stress_kPa=principal_stress_kPa,
+            Sxx_kPa=Sxx_kPa,
+            principal_stress_norm=principal_stress_norm,
+            Sxx_norm=Sxx_norm,
+            max_principal_stress_norm=max_principal_stress_norm,
+            max_Sxx_norm=max_Sxx_norm,
+        )
diff --git a/src/weac/analysis/plotter.py b/src/weac/analysis/plotter.py
index 81fe57b..5b42cc5 100644
--- a/src/weac/analysis/plotter.py
+++ b/src/weac/analysis/plotter.py
@@ -885,48 +885,56 @@ def plot_deformed(
             zmax = np.max(Zsl + scale * Wsl) + pad
         zmin = np.min(Zsl) - pad
 
-        # Compute weak-layer grid coordinates (cm)
-        Xwl, Zwl = np.meshgrid(1e-1 * xwl, [1e-1 * (zi[-1] + H / 2), zmax])
+        # Filter out NaN values from weak layer coordinates
+        nanmask = np.isfinite(xwl)
+        xwl_finite = xwl[nanmask]
 
-        # Assemble weak-layer displacement field (top and bottom)
-        Uwl = np.vstack([Usl[-1, :], np.zeros(xwl.shape[0])])
-        Wwl = np.vstack([Wsl[-1, :], np.zeros(xwl.shape[0])])
+        # Compute weak-layer grid coordinates (cm) - only for finite xwl
+        Xwl, Zwl = np.meshgrid(1e-1 * xwl_finite, [1e-1 * (zi[-1] + H / 2), zmax])
+
+        # Assemble weak-layer displacement field (top and bottom) - only for finite xwl
+        Uwl = np.vstack([Usl[-1, nanmask], np.zeros(xwl_finite.shape[0])])
+        Wwl = np.vstack([Wsl[-1, nanmask], np.zeros(xwl_finite.shape[0])])
 
         # Compute stress or displacement fields
         match field:
             # Horizontal displacements (um)
             case "u":
                 slab = 1e4 * Usl
-                weak = 1e4 * Usl[-1, :]
+                weak = 1e4 * Usl[-1, nanmask]
                 label = r"$u$ ($\mu$m)"
             # Vertical deflection (um)
             case "w":
                 slab = 1e4 * Wsl
-                weak = 1e4 * Wsl[-1, :]
+                weak = 1e4 * Wsl[-1, nanmask]
                 label = r"$w$ ($\mu$m)"
-            # Axial normal stresses (kPa)
             case "Sxx":
-                slab = analyzer.Sxx(z, phi, dz=dz, unit="kPa")
-                weak = np.zeros(xwl.shape[0])
-                label = r"$\sigma_{xx}$ (kPa)"
+                slab = analyzer.Sxx(z, phi, dz=dz, unit="kPa", normalize=normalize)
+                weak = np.zeros(xwl_finite.shape[0])
+                label = (
+                    r"$\sigma_{xx}/\sigma_+$" if normalize else r"$\sigma_{xx}$ (kPa)"
+                )
             # Shear stresses (kPa)
             case "Txz":
-                slab = analyzer.Txz(z, phi, dz=dz, unit="kPa")
-                weak = Tauwl
-                label = r"$\tau_{xz}$ (kPa)"
+                slab = analyzer.Txz(z, phi, dz=dz, unit="kPa", normalize=normalize)
+                weak = Tauwl[nanmask]
+                label = r"$\tau_{xz}/\sigma_+$" if normalize else r"$\tau_{xz}$ (kPa)"
             # Transverse normal stresses (kPa)
             case "Szz":
-                slab = analyzer.Szz(z, phi, dz=dz, unit="kPa")
-                weak = Sigmawl
-                label = r"$\sigma_{zz}$ (kPa)"
+                slab = analyzer.Szz(z, phi, dz=dz, unit="kPa", normalize=normalize)
+                weak = Sigmawl[nanmask]
+                label = (
+                    r"$\sigma_{zz}/\sigma_+$" if normalize else r"$\sigma_{zz}$ (kPa)"
+                )
             # Principal stresses
             case "principal":
                 slab = analyzer.principal_stress_slab(
                     z, phi, dz=dz, val="max", unit="kPa", normalize=normalize
                 )
-                weak = analyzer.principal_stress_weaklayer(
+                weak_full = analyzer.principal_stress_weaklayer(
                     z, val="min", unit="kPa", normalize=normalize
                 )
+                weak = weak_full[nanmask]
                 if normalize:
                     label = (
                         r"$\sigma_\mathrm{I}/\sigma_+$ (slab),  "
@@ -937,11 +945,6 @@ def plot_deformed(
                         r"$\sigma_\mathrm{I}$ (kPa, slab),  "
                         r"$\sigma_\mathrm{I\!I\!I}$ (kPa, weak layer)"
                     )
-            case _:
-                raise ValueError(
-                    f"Invalid input '{field}' for field. Valid options are "
-                    "'u', 'w', 'Sxx', 'Txz', 'Szz', or 'principal'"
-                )
 
         # Complement label
         label += r"  $\longrightarrow$"
@@ -968,10 +971,9 @@ def plot_deformed(
 
         # Plot deformed weak-layer _outline
         if system_type in ["-pst", "pst-", "-vpst", "vpst-"]:
-            nanmask = np.isfinite(xwl)
             ax.plot(
-                _outline(Xwl[:, nanmask] + scale * Uwl[:, nanmask]),
-                _outline(Zwl[:, nanmask] + scale * Wwl[:, nanmask]),
+                _outline(Xwl + scale * Uwl),
+                _outline(Zwl + scale * Wwl),
                 "k",
                 linewidth=1,
             )
@@ -1033,6 +1035,354 @@ def plot_deformed(
 
         return fig
 
+    def plot_visualize_deformation(
+        self,
+        xsl: np.ndarray,
+        xwl: np.ndarray,
+        z: np.ndarray,
+        analyzer: Analyzer,
+        weaklayer_proportion: float | None = None,
+        dz: int = 2,
+        levels: int = 300,
+        field: Literal["w", "u", "principal", "Sxx", "Txz", "Szz"] = "w",
+        normalize: bool = True,
+        filename: str = "visualize_deformation",
+    ) -> Figure:
+        """
+        Plot visualize deformation of the slab and weak layer.
+
+        Parameters
+        ----------
+        xsl : np.ndarray
+            Slab x-coordinates.
+        xwl : np.ndarray
+            Weak layer x-coordinates.
+        z : np.ndarray
+            Solution vector.
+        analyzer : Analyzer
+            Analyzer instance.
+        weaklayer_proportion: float | None, optional
+            Proportion of the plot to allocate to the weak layer. Default is None.
+        dz : int, optional
+            Element size along z-axis (mm). Default is 2 mm.
+        levels : int, optional
+            Number of levels for the colormap. Default is 300.
+        field : str, optional
+            Field to plot ('w', 'u', 'principal', 'Sxx', 'Txz', 'Szz'). Default is 'w'.
+        normalize : bool, optional
+            Toggle normalization. Default is True.
+        filename : str, optional
+            Filename for saving plot. Default is "visualize_deformation".
+
+        Returns
+        -------
+        matplotlib.figure.Figure
+            The generated plot figure.
+        """
+        fig = plt.figure(figsize=(10, 8))
+        ax = fig.add_subplot(111)
+
+        zi = analyzer.get_zmesh(dz=dz)["z"]
+        H = analyzer.sm.slab.H
+        phi = analyzer.sm.scenario.phi
+        system_type = analyzer.sm.scenario.system_type
+        fq = analyzer.sm.fq
+
+        # Compute slab displacements on grid (cm)
+        Usl = np.vstack([fq.u(z, h0=h0, unit="cm") for h0 in zi])
+        Wsl = np.vstack([fq.w(z, unit="cm") for _ in zi])
+        Sigmawl = np.where(np.isfinite(xwl), fq.sig(z, unit="kPa"), np.nan)
+        Tauwl = np.where(np.isfinite(xwl), fq.tau(z, unit="kPa"), np.nan)
+
+        # Put coordinate origin at horizontal center
+        if system_type in ["skier", "skiers"]:
+            xsl = xsl - max(xsl) / 2
+            xwl = xwl - max(xwl) / 2
+
+        # Physical dimensions in cm
+        H_cm = H * 1e-1  # Slab height in cm
+        h_cm = analyzer.sm.weak_layer.h * 1e-1  # Weak layer height in cm
+        crack_h_cm = analyzer.sm.scenario.crack_h * 1e-1  # Crack height in cm
+
+        # Compute slab grid coordinates with vertical origin at top surface (cm)
+        Xsl, Zsl = np.meshgrid(1e-1 * (xsl), 1e-1 * (zi + H / 2))
+
+        # Calculate maximum displacement first (needed for proportion calculation)
+        max_w_displacement = np.nanmax(np.abs(Wsl))
+
+        # Calculate dynamic proportions based on displacement
+        # Weak layer percentage = weak_layer_height / max_displacement (as ratio)
+        # But capped at 40% maximum
+        if weaklayer_proportion is None:
+            if max_w_displacement > 0:
+                weaklayer_proportion = min(0.3, (h_cm / max_w_displacement) * 0.1)
+            else:
+                weaklayer_proportion = 0.3
+
+        # Slab takes the remaining space
+        slab_proportion = 1.0 - weaklayer_proportion
+        cracked_ratio = crack_h_cm / h_cm
+        cracked_proportion = weaklayer_proportion * cracked_ratio
+
+        # Set up plot coordinate system
+        # Plot height is normalized: slab (0 to slab_proportion), weak layer (slab_proportion to slab_proportion+weaklayer_proportion)
+        total_height_plot = (
+            slab_proportion + weaklayer_proportion
+        )  # Total height without displacement
+        # Map physical dimensions to plot coordinates
+        deformation_scale = weaklayer_proportion / h_cm
+
+        # Get x-axis limits spanning all provided x values (deformed and undeformed)
+        xmax = np.max([np.max(Xsl), np.max(Xsl + deformation_scale * Usl)]) + 10.0
+        xmin = np.min([np.min(Xsl), np.min(Xsl + deformation_scale * Usl)]) - 10.0
+
+        # Calculate zmax including maximum deformation
+        zmax = total_height_plot
+
+        # Convert physical coordinates to plot coordinates for slab
+        # Zsl is in cm, we need to map it to plot coordinates (0 to slab_proportion)
+        Zsl_plot = (Zsl / H_cm) * slab_proportion
+
+        # Filter out NaN values from weak layer coordinates
+        nanmask = np.isfinite(xwl)
+        xwl_finite = xwl[nanmask]
+
+        # Compute weak-layer grid coordinates in plot units
+        # Weak layer extends from bottom of slab (slab_proportion) to total height (1.0)
+        Xwl, Zwl_plot = np.meshgrid(
+            1e-1 * xwl_finite, [slab_proportion, total_height_plot]
+        )
+
+        # Assemble weak-layer displacement field (top and bottom) - only for finite xwl
+        Uwl = np.vstack([Usl[-1, nanmask], np.zeros(xwl_finite.shape[0])])
+        Wwl = np.vstack([Wsl[-1, nanmask], np.zeros(xwl_finite.shape[0])])
+
+        # Convert slab displacements to plot coordinates
+        # Scale factor for displacements:
+        # So scaled displacement in plot units = scale * Wsl
+        Wsl_plot = (
+            deformation_scale * Wsl
+        )  # Already in plot units (proportion of total height)
+        Usl_plot = deformation_scale * Usl  # Horizontal displacements also scaled
+        Wwl_plot = deformation_scale * Wwl  # Weak layer displacements
+        Uwl_plot = deformation_scale * Uwl  # Weak layer horizontal displacements
+
+        # Compute stress or displacement fields
+        match field:
+            # Horizontal displacements (um)
+            case "u":
+                slab = 1e4 * Usl
+                weak = 1e4 * Usl[-1, nanmask]
+                label = r"$u$ ($\mu$m)"
+            # Vertical deflection (um)
+            case "w":
+                slab = 1e4 * Wsl
+                weak = 1e4 * Wsl[-1, nanmask]
+                label = r"$w$ ($\mu$m)"
+            # Axial normal stresses (kPa)
+            case "Sxx":
+                slab = analyzer.Sxx(z, phi, dz=dz, unit="kPa", normalize=normalize)
+                weak = np.zeros(xwl_finite.shape[0])
+                label = (
+                    r"$\sigma_{xx}/\sigma_+$" if normalize else r"$\sigma_{xx}$ (kPa)"
+                )
+            # Shear stresses (kPa)
+            case "Txz":
+                slab = analyzer.Txz(z, phi, dz=dz, unit="kPa", normalize=normalize)
+                weak = Tauwl[nanmask]
+                label = r"$\tau_{xz}/\sigma_+$" if normalize else r"$\tau_{xz}$ (kPa)"
+            # Transverse normal stresses (kPa)
+            case "Szz":
+                slab = analyzer.Szz(z, phi, dz=dz, unit="kPa", normalize=normalize)
+                weak = Sigmawl[nanmask]
+                label = (
+                    r"$\sigma_{zz}/\sigma_+$" if normalize else r"$\sigma_{zz}$ (kPa)"
+                )
+            # Principal stresses
+            case "principal":
+                slab = analyzer.principal_stress_slab(
+                    z, phi, dz=dz, val="max", unit="kPa", normalize=normalize
+                )
+                weak_full = analyzer.principal_stress_weaklayer(
+                    z, val="min", unit="kPa", normalize=normalize
+                )
+                weak = weak_full[nanmask]
+                if normalize:
+                    label = (
+                        r"$\sigma_\mathrm{I}/\sigma_+$ (slab),  "
+                        r"$\sigma_\mathrm{I\!I\!I}/\sigma_-$ (weak layer)"
+                    )
+                else:
+                    label = (
+                        r"$\sigma_\mathrm{I}$ (kPa, slab),  "
+                        r"$\sigma_\mathrm{I\!I\!I}$ (kPa, weak layer)"
+                    )
+
+        # Complement label
+        label += r"  $\longrightarrow$"
+
+        # Assemble weak-layer output on grid
+        weak = np.vstack([weak, weak])
+
+        # Normalize colormap
+        absmax = np.nanmax(np.abs([slab.min(), slab.max(), weak.min(), weak.max()]))
+        clim = np.round(absmax, _significant_digits(absmax))
+        levels = np.linspace(-clim, clim, num=levels + 1, endpoint=True)
+
+        # Plot baseline
+        ax.axhline(zmax, color="k", linewidth=1)
+
+        # Plot outlines of the undeformed and deformed slab (using plot coordinates)
+        ax.plot(_outline(Xsl), _outline(Zsl_plot), "--", alpha=0.3, linewidth=1)
+        ax.plot(
+            _outline(Xsl + Usl_plot),
+            _outline(Zsl_plot + Wsl_plot),
+            "-",
+            linewidth=1,
+            color="k",
+        )
+
+        # Plot cracked weak-layer outline (where there is no weak layer)
+        xwl_cracked = xsl[~nanmask]
+        Xwl_cracked, Zwl_cracked_plot = np.meshgrid(
+            1e-1 * xwl_cracked,
+            [slab_proportion + cracked_proportion, total_height_plot],
+        )
+        # No displacements for the cracked weak layer outline (undeformed)
+        ax.plot(
+            _outline(Xwl_cracked),
+            _outline(Zwl_cracked_plot),
+            "k-",
+            alpha=0.3,
+            linewidth=1,
+        )
+
+        # Then plot the deformed weak-layer outline where it exists
+        if system_type in ["-pst", "pst-", "-vpst", "vpst-"]:
+            ax.plot(
+                _outline(Xwl + Uwl_plot),
+                _outline(Zwl_plot + Wwl_plot),
+                "k",
+                linewidth=1,
+            )
+
+        cmap = plt.get_cmap("RdBu_r")
+        cmap.set_over(_adjust_lightness(cmap(1.0), 0.9))
+        cmap.set_under(_adjust_lightness(cmap(0.0), 0.9))
+
+        # Plot fields (using plot coordinates)
+        ax.contourf(
+            Xsl + Usl_plot,
+            Zsl_plot + Wsl_plot,
+            slab,
+            levels=levels,
+            cmap=cmap,
+            extend="both",
+        )
+        ax.contourf(
+            Xwl + Uwl_plot,
+            Zwl_plot + Wwl_plot,
+            weak,
+            levels=levels,
+            cmap=cmap,
+            extend="both",
+        )
+        ax.contourf(
+            Xwl_cracked,
+            Zwl_cracked_plot,
+            np.zeros((2, xwl_cracked.shape[0])),
+            levels=levels,
+            cmap=cmap,
+            extend="both",
+        )
+
+        # Plot setup
+        # Set y-limits to match plot coordinate system (0 to total_height_plot = 1.0)
+        plot_ymin = -0.1
+        plot_ymax = (
+            total_height_plot  # Should be 1.0 (slab_proportion + weaklayer_proportion)
+        )
+
+        # Set limits first, then aspect ratio to avoid matplotlib adjusting limits
+        ax.set_xlim([xmin, xmax])
+        ax.set_ylim([plot_ymin, plot_ymax])
+        ax.invert_yaxis()
+        ax.use_sticky_edges = False
+
+        # Hide the default y-axis on main axis (we'll use custom axes)
+        ax.yaxis.set_visible(False)
+
+        # Set up dual y-axes
+        # Right axis: slab height in cm (0 at top, H_cm at bottom of slab)
+        ax_right = ax.twinx()
+        slab_height_max = H_cm
+        # Map plot coordinates to physical slab height values
+        # Plot: 0 to slab_proportion (0.6) maps to physical: 0 to H_cm
+        slab_height_ticks = np.linspace(0, slab_height_max, num=5)
+        slab_height_positions_plot = (
+            slab_height_ticks / slab_height_max
+        ) * slab_proportion
+        ax_right.set_yticks(slab_height_positions_plot)
+        ax_right.set_yticklabels([f"{tick:.1f}" for tick in slab_height_ticks])
+        # Ensure right axis ticks and label are on the right side
+        ax_right.yaxis.tick_right()
+        ax_right.yaxis.set_label_position("right")
+        ax_right.set_ylim([plot_ymin, plot_ymax])
+        ax_right.invert_yaxis()
+        ax_right.set_ylabel(
+            r"slab depth [cm] $\longleftarrow$", rotation=90, labelpad=5, loc="top"
+        )
+
+        # Left axis: weak layer height in mm (0 at bottom of slab, h at bottom of weak layer)
+        ax_left = ax.twinx()
+        weak_layer_h_mm = analyzer.sm.weak_layer.h
+        # Map plot coordinates to physical weak layer height values
+        # Plot: slab_proportion (0.6) to total_height_plot (1.0) maps to physical: 0 to h_mm
+        weaklayer_height_ticks = np.linspace(0, weak_layer_h_mm, num=3)
+        # Map from plot coordinates (slab_proportion to 1.0) to physical (0 to h_mm)
+        weaklayer_height_positions_plot = (
+            slab_proportion
+            + (weaklayer_height_ticks / weak_layer_h_mm) * weaklayer_proportion
+        )
+        ax_left.set_yticks(weaklayer_height_positions_plot)
+        ax_left.set_yticklabels([f"{tick:.1f}" for tick in weaklayer_height_ticks])
+        # Move left axis to the left side
+        ax_left.yaxis.tick_left()
+        ax_left.yaxis.set_label_position("left")
+        ax_left.set_ylim([plot_ymin, plot_ymax])
+        ax_left.invert_yaxis()
+        ax_left.set_ylabel(
+            r"weaklayer depth [mm] $\longleftarrow$",
+            rotation=90,
+            labelpad=5,
+            loc="bottom",
+        )
+
+        # Plot labels
+        ax.set_xlabel(r"lateral position $x$ (cm) $\longrightarrow$")
+
+        # Show colorbar
+        ticks = np.linspace(levels[0], levels[-1], num=11, endpoint=True)
+        fig.colorbar(
+            ax.contourf(
+                Xsl + Usl_plot,
+                Zsl_plot + Wsl_plot,
+                slab,
+                levels=levels,
+                cmap=cmap,
+                extend="both",
+            ),
+            orientation="horizontal",
+            ticks=ticks,
+            label=label,
+            aspect=35,
+        )
+
+        # Save figure
+        self._save_figure(filename, fig)
+
+        return fig
+
     def plot_stress_envelope(
         self,
         system_model: SystemModel,
diff --git a/tests/analysis/test_analyzer.py b/tests/analysis/test_analyzer.py
index 6e8b92a..836f90d 100644
--- a/tests/analysis/test_analyzer.py
+++ b/tests/analysis/test_analyzer.py
@@ -79,6 +79,42 @@ def test_stress_fields_shapes_and_finite(self):
         self.assertTrue(np.isfinite(Txz).all())
         self.assertTrue(np.isfinite(Szz).all())
 
+    def test_stress_fields_unit_conversion(self):
+        """Test stress fields unit conversion."""
+        _, Z, _ = self.an_ski.rasterize_solution(num=150)
+        phi = self.sm_ski.scenario.phi
+        Sxx_kPa = self.an_ski.Sxx(Z=Z, phi=phi, dz=5, unit="kPa")
+        Sxx_MPa = self.an_ski.Sxx(Z=Z, phi=phi, dz=5, unit="MPa")
+        self.assertEqual(Sxx_kPa.shape, Sxx_MPa.shape)
+        np.testing.assert_array_almost_equal(Sxx_kPa, Sxx_MPa * 1e3, decimal=8)
+        principal_stress_MPa = self.an_ski.principal_stress_slab(
+            Z=Z, phi=phi, dz=5, unit="MPa"
+        )
+        principal_stress_kPa = self.an_ski.principal_stress_slab(
+            Z=Z, phi=phi, dz=5, unit="kPa"
+        )
+        self.assertEqual(principal_stress_MPa.shape, principal_stress_kPa.shape)
+        np.testing.assert_array_almost_equal(
+            principal_stress_MPa * 1e3, principal_stress_kPa, decimal=8
+        )
+        # Test normalized is the same irrespective of unit
+        Sxx_kPa_norm = self.an_ski.Sxx(Z=Z, phi=phi, dz=5, unit="kPa", normalize=True)
+        Sxx_MPa_norm = self.an_ski.Sxx(Z=Z, phi=phi, dz=5, unit="MPa", normalize=True)
+        self.assertEqual(Sxx_kPa_norm.shape, Sxx_MPa_norm.shape)
+        np.testing.assert_array_almost_equal(Sxx_kPa_norm, Sxx_MPa_norm, decimal=8)
+        principal_stress_MPa_norm = self.an_ski.principal_stress_slab(
+            Z=Z, phi=phi, dz=5, unit="MPa", normalize=True
+        )
+        principal_stress_kPa_norm = self.an_ski.principal_stress_slab(
+            Z=Z, phi=phi, dz=5, unit="kPa", normalize=True
+        )
+        self.assertEqual(
+            principal_stress_MPa_norm.shape, principal_stress_kPa_norm.shape
+        )
+        np.testing.assert_array_almost_equal(
+            principal_stress_MPa_norm, principal_stress_kPa_norm, decimal=8
+        )
+
     def test_principal_stress_slab_variants(self):
         """Test principal stress slab variants."""
         _, Z, _ = self.an_ski.rasterize_solution(num=120)
diff --git a/tests/analysis/test_criteria_evaluator.py b/tests/analysis/test_criteria_evaluator.py
index 734657c..7bd4191 100644
--- a/tests/analysis/test_criteria_evaluator.py
+++ b/tests/analysis/test_criteria_evaluator.py
@@ -13,7 +13,7 @@
     CoupledCriterionResult,
     CriteriaEvaluator,
     FindMinimumForceResult,
-    SSERRResult,
+    SteadyStateResult,
 )
 from weac.components import (
     Config,
@@ -183,8 +183,8 @@ def test_evaluate_coupled_criterion_full_run(self):
         self.assertIsInstance(results, CoupledCriterionResult)
         self.assertGreater(results.critical_skier_weight, 0)
 
-    def test_evaluate_SSERR(self):
-        """Test the evaluate_SSERR method."""
+    def test_evaluate_SteadyState(self):
+        """Test the evaluate_SteadyState method."""
         segments = [
             Segment(length=self.segments_length, has_foundation=True, m=0),
             Segment(length=self.segments_length, has_foundation=True, m=0),
@@ -198,11 +198,17 @@ def test_evaluate_SSERR(self):
             ),
             config=Config(touchdown=True),
         )
-        results: SSERRResult = self.evaluator.evaluate_SSERR(system)
+        results: SteadyStateResult = self.evaluator.evaluate_SteadyState(system)
         self.assertTrue(results.converged)
-        self.assertGreater(results.SSERR, 0)
+        self.assertGreater(results.energy_release_rate, 0)
         self.assertGreater(results.touchdown_distance, 0)
         self.assertLess(results.touchdown_distance, system.scenario.L)
+        max_principal_stress_norm = (
+            results.maximal_stress_result.max_principal_stress_norm
+        )
+        max_Sxx_norm = results.maximal_stress_result.max_Sxx_norm
+        self.assertGreater(max_principal_stress_norm, 0)
+        self.assertGreater(max_Sxx_norm, 0)
 
     def test_find_minimum_crack_length(self):
         """Test the find_minimum_crack_length method."""
diff --git a/tests/test_regression_simulation.py b/tests/test_regression_simulation.py
index f5fe89d..6c3f5c6 100644
--- a/tests/test_regression_simulation.py
+++ b/tests/test_regression_simulation.py
@@ -416,13 +416,13 @@ def test_criteria_evaluator_regressions(self):
         self.assertAlmostEqual(fm.max_dist_stress, 1.0000189267255666, places=6)
         self.assertLess(fm.min_dist_stress, 1.0)
 
-        # evaluate_SSERR baseline
-        ss = evaluator.evaluate_SSERR(system=sm, vertical=False)
+        # evaluate_SteadyState baseline
+        ss = evaluator.evaluate_SteadyState(system=sm, vertical=False)
         self.assertTrue(ss.converged)
         self.assertGreater(ss.touchdown_distance, 0)
         # Baseline values recorded
         self.assertAlmostEqual(ss.touchdown_distance, 1265.551924690803, places=6)
-        np.testing.assert_allclose(ss.SSERR, 2.123992, rtol=1e-6, atol=0)
+        np.testing.assert_allclose(ss.energy_release_rate, 2.123992, rtol=1e-6, atol=0)
 
         # evaluate_coupled_criterion baseline
         cc = evaluator.evaluate_coupled_criterion(system=sm, max_iterations=10)
diff --git a/uv.lock b/uv.lock
index 7c38ab8..2a40027 100644
--- a/uv.lock
+++ b/uv.lock
@@ -2802,7 +2802,7 @@ wheels = [
 
 [[package]]
 name = "weac"
-version = "3.0.1"
+version = "3.0.2"
 source = { editable = "." }
 dependencies = [
     { name = "matplotlib" },