diff --git a/notebooks/tutorial_RGDR.ipynb b/notebooks/tutorial_RGDR.ipynb
index 97ae938..62cc25f 100644
--- a/notebooks/tutorial_RGDR.ipynb
+++ b/notebooks/tutorial_RGDR.ipynb
@@ -70,7 +70,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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zzawYGsvZkmZKekjSMkmnVijzUUlLJD0g6Re16qy32f1j4DRgE0BE3E8ytY+Z2ZCJgJ6ejj6bleWcbWZN10jOltQJnAccAewBHCNpj35lppPkuIMiYk/gi7XqrffTYkxE3NXvXFc9L5TUKeleSVenxztLujNttV8maVSdMZiZ0dXd0WezspyzzawQGsjZBwLLIuKxiNgIXArM7lfms8B5EfECQD3zp9f7abFG0i4k44+R9GFgZZ2v/QKwtOT4m8C5EbEr8ALJuvVmZjUFoif6blaWc7aZNV2DOXsy8FTJ8Yr0XKndgN0k3SbpDkkza1Vab4P3H0hWIXqTpKdJuo6Pr/UiSVOAvwbOT48FHApcmRa5EDiqzhjMbLgLiB712aws52wza77yOXuCpAUl29wGah4BTAcOAY4Bfixpm1ovqB1vxGPA4ZLGAh0Rsa7OgL4LfBkYlx6/HngxInpvrZVrtZuZlRVAt4cx1OScbWZFUCFnr4mIGVVe9jQwteR4Snqu1ArgzojYBDwu6WGSBvDdlSqt2uCVdFKF8wBExHeqvPYDwOqIWCjpkGrXqfD6ucBcgM5tt6FrfPdAqyhr3OR6835161ZtlUk9AOMmrs+srt0mPJdZXQsf3imTejZsOzKTegBGrqtrGGJ9Xn45u7qy0pFdj+XWy3syq6sw0t4CK68oOXviDiMY3/HKQKso600X/UMm9QCcPPu/MqnnnP86KpN6AKbcsimzunY9c0lmdf18/wsyqef05z+cST0A3d3ZtAOKarufjMmusg9lV9WgNJaz7wamS9qZpKF7NPDxfmX+i6Rn9yeSJpAMcXisWqW1enh7v+XvDrwVmJ8efxDo/0BEfwcBsyQdCYwGxgPfA7aRNCLtMSjXagcgIuYB8wC22Glq1LiWmQ0LHsZQQyFy9u57j3bONjMaydkR0SXpBOA6oBO4ICIekHQGsCAi5qc/e5+kJUA3cHJEPF+t3qoN3oj4OoCkW4H9e2+LSfoa8Jsarz2NZMoI0t6CL0XEJyRdAXyY5Km7Y4FfV6vHzOxVAdHtBm8lztlmVigN5uyIuAa4pt+5r5bsB3BSutWl3sFwE4GNJccb03ONOAU4SdIykvFh/9lgPWY2HIX6blaOc7aZFUNBcna9SwtfBNwl6ar0+CiSp3XrEhG3ALek+4+RzLFmZjYw7uGtl3O2mTVfgXJ2vbM0nCXpWuBd6alPRcS9+YVlZlaBx/DW5JxtZoVRkJxdV4NX0o7AGuCq0nMR8WRegZmZbSZAbTj5RNacs82sEAqUs+sd0vAb0hV7gC2BnYGHgD3zCMrMrDxBA7fH0lV4vkfyxO/5EXF2v59vQTIM4ADgeeBjEbF80OE2j3O2mRVAYzk7D/UOaXhL6bGk/YHP5xKRmVklwYBvj0nqBM4D3ksyWfndkuZHROmkpccBL0TErpKOJllO92PZBD30nLPNrBAayNl5aWjJooi4B3hbxrGYmdWknr5bHQ4ElkXEYxGxkWR6rdn9yszmtYe6rgQOU+9qDW3AOdvMmqWBnJ2Lesfwls5z1gHsDzyTS0RmZlVo896CCZIWlBzPSxdB6DUZeKrkeAWbN/5eLZNOev4SyRRcazIJeog5Z5tZUZTJ2U1R7xjecSX7XSTjw36ZfThmZlUEsHkPQa112Ycj52wza77yObsp6m3wLomIK0pPSPoIcEWF8mZmuWjgltjTwNSS43LL4/aWWSFpBLA1ycNrrco528wKoSizNNQ7hve0Os+ZmeVGAepWn60OdwPTJe0saRRwNDC/X5n5JMvmQrKM7u/SpStblXO2mTVdgzk7F1V7eCUdARwJTJb0/ZIfjSe5TWZmNqQG2luQjsk9AbiOZFqyCyLiAUlnAAsiYj7Jcrk/S5fPXUvSKG45ztlmVjRF6eGtNaThGWABMAtYWHJ+HXBiXkGZmZXV4CTmEXENcE2/c18t2X8F+MhgwysA52wzK45WWXgiIu4D7pN0cUS4d8DMmk7dzY6guJyzzaxoipKzq47hlXR5unuvpPv7bzVeO1rSXZLuk/SApK+n538q6XFJi9Jt32x+FTMbFqLfZq9yzjazwmkgZ0uaKekhScsknVql3N9KCkk1Z+qpNaThC+m/H6gvxD42AIdGxHpJI4E/SLo2/dnJEXFlA3Wa2XBWoNtjBeWcbWbF0UDOrnN1TCSNI8l5d9ZTb9Ue3ohYme5+PiKeKN2osUxlJNanhyPTzf0xZtYwkdweK93sNc7ZZlYkDebselbHBDiTZBn4V+qptN5pyd5b5twRtV4kqVPSImA1cENE9LbCz0pvsZ0raYs6YzCz4S6Ks0xlwTlnm1nzNZazy62OObm0gKT9gakR8Zt6Q6k1LdnxJL0Cb+w3/msccFutyiOiG9hX0jbAVZL2IpkL8llgFDAPOAU4o8y15wJzAUZM2JoRr6+rAV/T23Z4IpN6/uYtC2oXqlNnhsuQ3LruTZnVtXj89tlU9NSobOoB1k/N7rN29FbTMqtr1NpJ2VS06qVs6gG2fG5TZnUddsi/ZlbXYLlXt7Ki5OzOCVvzqf+ZM6jfpdeuv1qXST0AvzpjWib17BL3ZlIPQMfkjHIHcOOCvTKra+zbNmRSz0tvnVy7UJ3GbTOudqE6da5em0k9PWtfzKQegLEPZreS+RHTijMpS5mcXWs5+Or1SR3Ad4A5A4mj1hjeXwDXAv8GlA4aXhcRdf+1RMSLkm4GZkbEt9PTGyT9BPhShdfMI0mujN5lsm+rmZnH8NZWiJy9xRuds82MSjm71nLwtVbHHAfsBdwiCWB7YL6kWRFRsTey1hjelyJieUQck44BezkJn60k7VjttZK2S3sJkLQlyS22ByVNSs8JOApYXK0eM7NSHtJQmXO2mRVNAzm76uqYaZ6bEBHTImIacAdQtbELtXt4k2ClD5J0H+9AMrZrJ2ApsGeVl00CLkyftusALo+IqyX9TtJ2JGOZFwGfqycGMzO5h7cuztlmVgSN5Ow6V8ccsLoavMA3gLcDN0bEfpLeA3yyRsD3A/uVOX/ogKM0M0u5wVsX52wzK4Q8Vsfsd/6Qeuqsd5aGTRHxPNAhqSMibgZqTvJrZpa5nn6bleOcbWbFUJCcXW8P74uStgJuBS6WtBr4c35hmZmVEdDhWRrq4ZxtZs1XoJxdbw/vbJKHH04Efgs8Cnwwr6DMzCrxQ2t1cc42s0IoSs6uq4c3Ikp7Bi7MKRYzs+oCD2Oog3O2mRVCgXJ2rYUn1lF+aUmRrEQ5PpeozMzKENDR7SleK3HONrMiKVLOrtrgjYjsljUxMxusjKclk7QtcBkwDVgOfDQiXuhXZl/gP4DxQDdwVkRcll0U2XHONrNCKdBUkvWO4TUzK4SMx4OdCtwUEdOBm+i7OlmvvwB/FxF7AjOB7/Yu0GBmZtUVZQyvG7xm1joiWZe9dBuk2bw2xvVCkpXE+l4y4uGIeCTdf4ZkIYftBn1lM7N2l33Obli905KZmTWdAPVkOh5sYkSsTPefBSZWvb50IDCKZNYDMzOrIoec3TA3eM2sdQR0dG12doKk0jXU50XEvN4DSTcC25ep7fQ+VUeEpIqZWdIk4GfAsRFRkFFpZmYFVj5nN4UbvGbWUsqMAVsTERVXEYuIwyvWJa2SNCkiVqYN2tUVyo0HfgOcHhF3DDxqM7PhyQ+tmZkNVCS3x0q3QZoPHJvuHwv8un8BSaOAq4CLIuLKwV7QzGzYyD5nN8wNXjNrGYpA3X23QTobeK+kR4DD02MkzZB0flrmo8C7gTmSFqXbvoO9sJlZu8shZzcstwavpNGS7pJ0n6QHJH09Pb+zpDslLZN0Wdp7YmZWlyynuImI5yPisIiYHhGHR8Ta9PyCiPhMuv/ziBgZEfuWbIsG/YsUjHO2meWhkZwtaaakh9K8s9l0kZJOkrRE0v2SbpK0U6068+zh3QAcGhH7APsCMyW9HfgmcG5E7Aq8AByXYwxm1k6CwvQWtCHnbDPLVgM5W1IncB5wBLAHcIykPfoVuxeYERF7A1cC36pVb24N3kisTw9HplsAh6bBQYV5L83MKnGDNx/O2WaWhwZy9oHAsoh4LCI2ApeSzJn+qoi4OSL+kh7eAUypVWmuY3gldUpaRPLk8w0kc1e+GBG9k1SsACbnGYOZtZEozqo97cg528wy1VjOngw8VXJcK+8cB1xbq9JcpyWLiG5g33QZzquAN9X7WklzgbkAUyd3ct+7fpxJTL9/pXhLzX//qYqzJg3Y4kdqfsmp2/ilIzOpZ/Ta7HrhRq/JbkK/MQ+WnYGqIT2rn8umom1fl009wKi7Hs6sLkYWYwZDgXt1c5RVzh7NGHb55L2ZxKQxYzKpJ0vrj9wns7re/39+n1ldS2+fkFld//P9t2ZSz+sfXJtJPQDxyBOZ1dW1cWMm9XRkmBu7Hl2eWV1FUSFnV507fUD1S58EZgAH1yo7JJ9iEfGipJuBdwDbSBqR9hhMAZ6u8Jp5wDyA/ffZwp9wZgYRqNvdunkbbM4er22ds82sUs6uOnc6SY6ZWnJcNu9IOpxkAaGDI2JDrVDynKVhu7SXAElbAu8FlgI3Ax9Oi5Wd99LMrJKizOnYbpyzzSwPDeTsu4Hp6Qwxo4CjSeZMf61OaT/gR8CsiKjrdm2ePbyTgAvTp+06gMsj4mpJS4BLJX2D5Cm7/8wxBjNrJ+EhDTlyzjazbDWQsyOiS9IJwHVAJ3BBRDwg6QxgQUTMB84BtgKukATwZETMqlZvbg3eiLgf2K/M+cdInsAzMxswD2nIh3O2meWhkZwdEdcA1/Q799WS/QE//FSMJ1HMzOrQu2qPmZkVX5Fythu8ZtZaetzDa2bWMgqSs93gNbPWEaCuYiRPMzOroUA52w1eM2sdEYXpLTAzsxoKlLPd4DWzllKU3gIzM6utKDnbDV4zax0R4FkazMxaQ4Fythu8ZtZaCnJ7zMzM6lCQnO0Gr5m1jgjo6mp2FGZmVo8C5ezclhY2M8tckNweK90GQdK2km6Q9Ej67+uqlB0vaYWkHwzqomZmw0XGOXsw3OA1sxaSPvFbug3OqcBNETEduCk9ruRM4NbBXtDMbPjIPGc3zA1eM2sdQXJ7rHQbnNnAhen+hcBR5QpJOgCYCFw/2AuamQ0b2efshrnBa2atI4Lo7u6zDdLEiFiZ7j9L0qjtQ1IH8O/AlwZ7MTOzYSX7nN0wP7RmZq1l8zFgEyQtKDmeFxHzeg8k3QhsX6am00sPIiIklVv0/fPANRGxQlKDQZuZDVPtPi2ZpKnARSQ9JkHyIfQ9SV8DPgs8lxb954i4Jq84zKyNRBCbNvU/uyYiZlR+SRxe6WeSVkmaFBErJU0CVpcp9g7gXZI+D2wFjJK0PiKqjfdtOc7ZZpa58jm7KfLs4e0C/iki7pE0Dlgo6Yb0Z+dGxLdzvLaZtaPsJzGfDxwLnJ3+++vNLxmf6N2XNAeY0W6N3ZRztpllq0ALT+Q2hjciVkbEPen+OmApMDmv65lZ+wvIejzY2cB7JT0CHJ4eI2mGpPMHW3krcc42s6zlkLMbNiQPrUmaBuwH3JmeOkHS/ZIuqDbvpZlZHxFE16Y+2+Cqi+cj4rCImB4Rh0fE2vT8goj4TJnyP42IEwZ10RbgnG1mmcg4Zw+GIso9o5HhBaStgN8DZ0XEryRNBNaQNPzPBCZFxKfLvG4uMDc93B14KKOQJqTXL5IixgTFjKuIMUEx4ypiTLtHxLhGXyzptyS/V6k1ETFzcGFZL+fsuhQxJihmXEWMCYoZVxFjgkHk7SLl7FwbvJJGAlcD10XEd8r8fBpwdUTslVsQm19zQbUHXJqhiDFBMeMqYkxQzLgckw2Uc3Z9ihgTFDOuIsYExYyriDFBceMaqNyGNCiZv+c/gaWliTN9ErrXh4DFecVgZmb1cc42s3aW5ywNBwH/C/ijpEXpuX8GjpG0L8ntseXA3+cYg5mZ1cc528zaVm4N3oj4A1BulvZmz984r3aRIVfEmKCYcRUxJihmXI7J6uacPSBFjAmKGVcRY4JixlXEmKC4cQ1I7g+tmZmZmZk105BMS2ZmZmZm1ixt1eBN54hcLWlxybl9Jd0haZGkBZIOTM9L0vclLUvnl9x/iOPaR9Ltkv4o6b8ljS/52WlpXA9Jen9OMU2VdLOkJZIekPSF9Py2km6Q9Ej67+vS87m/X1Vi+kh63CNpRr/XNPO9OkfSg+n7cZWkbYYqrioxnZnGs0jS9ZJ2SM8Pyd97pbhKfv5PkkLShKGMy4qriHnbOTuTuJqWt4uYs2vE1bS8PaxydkS0zQa8G9gfWFxy7nrgiHT/SOCWkv1rScasvR24c4jjuhs4ON3/NHBmur8HcB+wBbAz8CjQmUNMk4D90/1xwMPptb8FnJqePxX45lC9X1ViejPJvJ63kCzr2lu+2e/V+4AR6flvlrxXucdVJabxJWX+N/DDofx7rxRXejwVuA54ApgwlHF5K+5WxLztnJ1JXE3L20XM2TXialreHk45u616eCPiVmBt/9NA7zfxrYFn0v3ZwEWRuAPYRn2n38k7rt2AW9P9G4C/LYnr0ojYEBGPA8uAA3OIqdIyorOBC9NiFwJHlcSV6/tVKaaIWBoR5Saxb+p7FRHXR0RXWuwOYMpQxVUlpj+VFBtL8vffG1Puf+9V/q4AzgW+XBLTkMVlxVXEvO2cPfi4mpm3i5iza8TVtLw9nHJ2WzV4K/gicI6kp4BvA6el5ycDT5WUW8HQrhv/AMkfDsBHSL5JNSUu9V1GdGJErEx/9CwwsRlxafOlTctp9ntV6tMk33qHPK7+MUk6K/17/wTw1WbE1D8uSbOBpyPivn7Fmv3/oRXTFyle3nbOHlhclRTls6RpObtcXEXI2+2es4dDg/d44MSImAqcSDKxehF8Gvi8pIUktxE2NiMIJcuI/hL4Yr9vmURE0PebXdNjaqZKcUk6HegCLi5CTBFxevr3fjFwwlDH1D8ukvfmn3ktiZvVUsS87ZzdYFzNUsScXSmuZuft4ZCzh0OD91jgV+n+Fbx2m+JpXvuGDsmtjaeHKqiIeDAi3hcRBwCXkIwZGtK4lCwj+kvg4ojofY9W9d6eSP9dPZRxVYipkma/V0iaA3wA+ET6YTNkcdXxXl3Ma7ddm/le7UIyLu4+ScvTa98jafuhjMtaSuHytnP2gOOqpKn5sZk5u1pcJYY8bw+XnD0cGrzPAAen+4cCj6T784G/S584fDvwUsltodxJekP6bwfwFeCHJXEdLWkLSTsD04G7crh+2WVE0+sfm+4fC/y65Hyu71eVmCpp6nslaSbJ+KZZEfGXoYyrSkzTS4rNBh4siSn3v/dycUXEHyPiDRExLSKmkdwC2z8inh2quKzlFC5vO2cPOK5Kmpkfm5aza8TVtLw9rHJ2FODJuaw2km/dK4FNJP+BjgPeCSwkeQLzTuCAtKyA80i+pf+RkqdIhyiuL5A8DfkwcDbpIiBp+dPTuB4ifVI5h5jeSXLr635gUbodCbweuInkA+ZGYNuher+qxPSh9H3bAKwCrivIe7WMZCxT77kfDlVcVWL6JbA4Pf/fJA9EDNnfe6W4+pVZzmtP/A7Z/4feirlVyI9NzdsVYnLOHlhcTcvbVWJqWs6uEVfT8nalmPqVWU4b5GyvtGZmZmZmbW04DGkwMzMzs2HMDV4zMzMza2tu8JqZmZlZW3OD18zMzMzamhu8ZmZmZtbW3OC1AZG0Poc6Z0k6Nd0/StIeDdRxi6QZWcdmZtbKnLPNEm7wWtNFxPyIODs9PAoYcPI0M7Oh4ZxtrcgNXmtIusrKOZIWS/qjpI+l5w9Jv7lfKelBSRenK7kg6cj03EJJ35d0dXp+jqQfSPorYBZwjqRFknYp7QWQNCFd5hBJW0q6VNJSSVcBW5bE9j5Jt0u6R9IVStYINzMbtpyzbbgb0ewArGX9DbAvsA8wAbhb0q3pz/YD9iRZHvQ24CBJC4AfAe+OiMclXdK/woj4H0nzgasj4kqANO+Wczzwl4h4s6S9gXvS8hNIlv08PCL+LOkU4CTgjAx+ZzOzVuWcbcOaG7zWqHcCl0REN7BK0u+BtwJ/Au6KiBUAkhYB04D1wGMR8Xj6+kuAuYO4/ruB7wNExP2S7k/Pv53k9tptaeIdBdw+iOuYmbUD52wb1tzgtTxsKNnvZnB/Z128NvRmdB3lBdwQEccM4ppmZsOJc7a1PY/htUb9P+BjkjolbUfy7f2uKuUfAt4oaVp6/LEK5dYB40qOlwMHpPsfLjl/K/BxAEl7AXun5+8guR23a/qzsZJ2q+cXMjNrY87ZNqy5wWuNugq4H7gP+B3w5Yh4tlLhiHgZ+DzwW0kLSZLkS2WKXgqcLOleSbsA3waOl3QvybizXv8BbCVpKclYr4XpdZ4D5gCXpLfMbgfeNJhf1MysDThn27CmiGh2DDZMSNoqItanTwCfBzwSEec2Oy4zM9ucc7a1E/fw2lD6bPpAxAPA1iRPAJuZWTE5Z1vbcA+vmZmZmbU19/CamZmZWVtzg9fMzMzM2pobvGZmZmbW1tzgNTMzM7O25gavmZmZmbU1N3jNzMzMrK39f+qLTKkPu+CbAAAAAElFTkSuQmCC",
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",
       "text/plain": [
        "<Figure size 864x144 with 4 Axes>"
       ]
@@ -102,7 +102,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 864x144 with 4 Axes>"
       ]
@@ -169,7 +169,6 @@
        "}\n",
        "\n",
        "html[theme=dark],\n",
-       "body[data-theme=dark],\n",
        "body.vscode-dark {\n",
        "  --xr-font-color0: rgba(255, 255, 255, 1);\n",
        "  --xr-font-color2: rgba(255, 255, 255, 0.54);\n",
@@ -182,7 +181,7 @@
        "}\n",
        "\n",
        ".xr-wrap {\n",
-       "  display: block !important;\n",
+       "  display: block;\n",
        "  min-width: 300px;\n",
        "  max-width: 700px;\n",
        "}\n",
@@ -490,68 +489,74 @@
        "  stroke: currentColor;\n",
        "  fill: currentColor;\n",
        "}\n",
-       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (cluster_labels: 6, anchor_year: 39)&gt;\n",
-       "290.8 291.0 290.7 290.1 291.1 291.3 ... 285.6 286.3 286.2 285.5 285.0 285.1\n",
+       "</style><pre class='xr-text-repr-fallback'>&lt;xarray.DataArray &#x27;sst&#x27; (anchor_year: 39, cluster_labels: 6)&gt;\n",
+       "290.8 298.9 287.8 296.6 286.0 284.9 ... 291.4 298.2 288.4 296.6 286.9 285.1\n",
        "Coordinates:\n",
-       "  * anchor_year     (anchor_year) int32 1980 1981 1982 1983 ... 2016 2017 2018\n",
+       "  * anchor_year     (anchor_year) int64 1980 1981 1982 1983 ... 2016 2017 2018\n",
        "  * cluster_labels  (cluster_labels) &lt;U20 &#x27;lag:1_cluster:-2&#x27; ... &#x27;lag:4_clust...\n",
        "    latitude        (cluster_labels) float64 36.05 29.44 37.33 29.58 38.14 39.78\n",
-       "    longitude       (cluster_labels) float64 223.9 185.4 221.8 190.2 217.8 219.3</pre><div class='xr-wrap' style='display:none'><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>cluster_labels</span>: 6</li><li><span class='xr-has-index'>anchor_year</span>: 39</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-8d337097-b907-4531-b9ba-7482cda62363' class='xr-array-in' type='checkbox' ><label for='section-8d337097-b907-4531-b9ba-7482cda62363' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>290.8 291.0 290.7 290.1 291.1 291.3 ... 286.3 286.2 285.5 285.0 285.1</span></div><div class='xr-array-data'><pre>array([[290.79588914, 290.970545  , 290.71731703, 290.0762239 ,\n",
-       "        291.08960917, 291.31511491, 291.11538436, 290.26277142,\n",
-       "        290.80443321, 290.99960169, 291.53446464, 291.36075119,\n",
-       "        291.85483292, 291.09343404, 291.31408735, 291.41374784,\n",
-       "        291.86010891, 292.04141337, 291.10871867, 290.01689114,\n",
-       "        291.222642  , 290.9579155 , 291.22194658, 291.54149051,\n",
-       "        292.30504935, 291.41269426, 291.24292642, 291.02590818,\n",
-       "        291.44962923, 291.91882282, 290.70922506, 290.48853941,\n",
-       "        290.34711093, 291.99974208, 292.3259726 , 293.32741257,\n",
-       "        291.91085874, 291.45966391, 291.37066195],\n",
-       "       [298.94548042, 298.92119198, 297.71694295, 298.98291705,\n",
-       "        299.35080249, 298.06875363, 298.51701671, 298.495829  ,\n",
-       "        299.61375876, 298.35675492, 298.46956715, 299.34460285,\n",
-       "        297.57970076, 298.48196856, 297.85457083, 298.60225261,\n",
-       "        298.95597899, 298.63209096, 298.75689828, 299.10338566,\n",
-       "        298.80111564, 299.39540936, 299.49514094, 298.18805869,\n",
-       "        298.88763028, 299.2529288 , 299.0168395 , 298.84020348,\n",
-       "        298.48441327, 299.30649003, 299.69018872, 299.65241405,\n",
-       "        299.320106  , 299.04325189, 299.48610574, 298.91044985,\n",
-       "        298.89195415, 299.19568083, 298.21053747],\n",
+       "    longitude       (cluster_labels) float64 223.9 185.4 221.8 190.2 217.8 219.3\n",
+       "Attributes:\n",
+       "    data:         Clustered data with Response Guided Dimensionality Reduction.\n",
+       "    coordinates:  Latitudes and longitudes are geographical centers associate...</pre><div class='xr-wrap' hidden><div class='xr-header'><div class='xr-obj-type'>xarray.DataArray</div><div class='xr-array-name'>'sst'</div><ul class='xr-dim-list'><li><span class='xr-has-index'>anchor_year</span>: 39</li><li><span class='xr-has-index'>cluster_labels</span>: 6</li></ul></div><ul class='xr-sections'><li class='xr-section-item'><div class='xr-array-wrap'><input id='section-1d4cdd99-b605-4013-987c-c473798f62d3' class='xr-array-in' type='checkbox' ><label for='section-1d4cdd99-b605-4013-987c-c473798f62d3' title='Show/hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-array-preview xr-preview'><span>290.8 298.9 287.8 296.6 286.0 284.9 ... 298.2 288.4 296.6 286.9 285.1</span></div><div class='xr-array-data'><pre>array([[290.79588914, 298.94548042, 287.83356654, 296.5913755 ,\n",
+       "        286.03044129, 284.87776786],\n",
+       "       [290.970545  , 298.92119198, 288.55306112, 296.90258837,\n",
+       "        286.41065088, 285.21587978],\n",
+       "       [290.71731703, 297.71694295, 287.67598112, 294.73800866,\n",
+       "        285.88040068, 284.63316991],\n",
+       "       [290.0762239 , 298.98291705, 287.73584298, 296.41157889,\n",
+       "        285.86096977, 284.26479301],\n",
+       "       [291.08960917, 299.35080249, 288.1596998 , 297.99213155,\n",
+       "        286.72862973, 285.2133661 ],\n",
+       "       [291.31511491, 298.06875363, 288.30114902, 296.60273768,\n",
+       "        286.36983148, 285.23982798],\n",
+       "       [291.11538436, 298.51701671, 288.42280444, 295.87495752,\n",
+       "        286.59086822, 285.47541953],\n",
+       "       [290.26277142, 298.495829  , 287.68074275, 294.90712055,\n",
+       "        286.11305079, 285.06475995],\n",
+       "       [290.80443321, 299.61375876, 287.73813437, 297.72830858,\n",
+       "        285.91317401, 284.66681325],\n",
+       "       [290.99960169, 298.35675492, 288.43398779, 296.56159793,\n",
+       "        286.77823224, 285.46594319],\n",
        "...\n",
-       "       [286.03044129, 286.41065088, 285.88040068, 285.86096977,\n",
-       "        286.72862973, 286.36983148, 286.59086822, 286.11305079,\n",
-       "        285.91317401, 286.77823224, 286.83641656, 286.52443595,\n",
-       "        287.17739959, 286.60660087, 286.53456511, 286.47180548,\n",
-       "        287.38853353, 288.10811486, 285.95728499, 285.81102719,\n",
-       "        286.03722988, 285.93440975, 286.41127119, 286.1238482 ,\n",
-       "        287.28175957, 287.29813038, 285.94510231, 286.12323899,\n",
-       "        286.32943446, 286.86319553, 286.06129633, 286.18180894,\n",
-       "        286.10235052, 287.24689238, 287.49833021, 287.36028116,\n",
-       "        287.04384111, 286.61949986, 286.90046576],\n",
-       "       [284.87776786, 285.21587978, 284.63316991, 284.26479301,\n",
-       "        285.2133661 , 285.23982798, 285.47541953, 285.06475995,\n",
-       "        284.66681325, 285.46594319, 285.75044757, 285.73705208,\n",
-       "        285.56276767, 285.43091555, 285.46820587, 284.94546177,\n",
-       "        285.70865305, 286.30114117, 284.5060906 , 284.34415656,\n",
-       "        284.34588646, 284.53863852, 285.12270074, 284.88261344,\n",
-       "        285.45435352, 285.68453762, 284.44676764, 284.83947079,\n",
-       "        285.07341673, 285.41171316, 284.49058091, 284.64238114,\n",
-       "        284.79830112, 285.63134742, 286.25535463, 286.22768626,\n",
-       "        285.45310605, 284.98540926, 285.06801918]])</pre></div></div></li><li class='xr-section-item'><input id='section-c122997c-49f2-446e-ba57-766c46066e59' class='xr-section-summary-in' type='checkbox'  checked><label for='section-c122997c-49f2-446e-ba57-766c46066e59' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>anchor_year</span></div><div class='xr-var-dims'>(anchor_year)</div><div class='xr-var-dtype'>int32</div><div class='xr-var-preview xr-preview'>1980 1981 1982 ... 2016 2017 2018</div><input id='attrs-7ce5aab1-92e1-4241-b32e-3755e1ec2641' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-7ce5aab1-92e1-4241-b32e-3755e1ec2641' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-78196ffd-da21-4263-9a3e-fb03b68fc113' class='xr-var-data-in' type='checkbox'><label for='data-78196ffd-da21-4263-9a3e-fb03b68fc113' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991,\n",
+       "       [291.91882282, 299.30649003, 289.03807993, 296.61841539,\n",
+       "        286.86319553, 285.41171316],\n",
+       "       [290.70922506, 299.69018872, 287.76165755, 297.16978009,\n",
+       "        286.06129633, 284.49058091],\n",
+       "       [290.48853941, 299.65241405, 287.49144993, 298.35400031,\n",
+       "        286.18180894, 284.64238114],\n",
+       "       [290.34711093, 299.320106  , 287.57482541, 297.90456269,\n",
+       "        286.10235052, 284.79830112],\n",
+       "       [291.99974208, 299.04325189, 288.62988464, 297.33760943,\n",
+       "        287.24689238, 285.63134742],\n",
+       "       [292.3259726 , 299.48610574, 289.2110373 , 296.53067801,\n",
+       "        287.49833021, 286.25535463],\n",
+       "       [293.32741257, 298.91044985, 289.77576952, 296.28250604,\n",
+       "        287.36028116, 286.22768626],\n",
+       "       [291.91085874, 298.89195415, 289.25948746, 296.46499542,\n",
+       "        287.04384111, 285.45310605],\n",
+       "       [291.45966391, 299.19568083, 288.59732323, 296.99780806,\n",
+       "        286.61949986, 284.98540926],\n",
+       "       [291.37066195, 298.21053747, 288.43352188, 296.60848274,\n",
+       "        286.90046576, 285.06801918]])</pre></div></div></li><li class='xr-section-item'><input id='section-3b225e32-d5a4-47bd-a2e3-9a7a0cb25288' class='xr-section-summary-in' type='checkbox'  checked><label for='section-3b225e32-d5a4-47bd-a2e3-9a7a0cb25288' class='xr-section-summary' >Coordinates: <span>(4)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><ul class='xr-var-list'><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>anchor_year</span></div><div class='xr-var-dims'>(anchor_year)</div><div class='xr-var-dtype'>int64</div><div class='xr-var-preview xr-preview'>1980 1981 1982 ... 2016 2017 2018</div><input id='attrs-15438f69-d759-4d8d-ae9f-0e7d7b5a0d38' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-15438f69-d759-4d8d-ae9f-0e7d7b5a0d38' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-1c9270ab-cdb8-4670-b7df-081673a9d864' class='xr-var-data-in' type='checkbox'><label for='data-1c9270ab-cdb8-4670-b7df-081673a9d864' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([1980, 1981, 1982, 1983, 1984, 1985, 1986, 1987, 1988, 1989, 1990, 1991,\n",
        "       1992, 1993, 1994, 1995, 1996, 1997, 1998, 1999, 2000, 2001, 2002, 2003,\n",
        "       2004, 2005, 2006, 2007, 2008, 2009, 2010, 2011, 2012, 2013, 2014, 2015,\n",
-       "       2016, 2017, 2018])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cluster_labels</span></div><div class='xr-var-dims'>(cluster_labels)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;lag:1_cluster:-2&#x27; ... &#x27;lag:4_cl...</div><input id='attrs-f1d73f73-bc7f-477e-8378-ff6d226add5a' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-f1d73f73-bc7f-477e-8378-ff6d226add5a' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-3301af05-87d0-499e-adaf-5dfdf8aa7d63' class='xr-var-data-in' type='checkbox'><label for='data-3301af05-87d0-499e-adaf-5dfdf8aa7d63' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;lag:1_cluster:-2&#x27;, &#x27;lag:1_cluster:1&#x27;, &#x27;lag:2_cluster:-1&#x27;,\n",
-       "       &#x27;lag:2_cluster:1&#x27;, &#x27;lag:3_cluster:-1&#x27;, &#x27;lag:4_cluster:-2&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(cluster_labels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.05 29.44 37.33 29.58 38.14 39.78</div><input id='attrs-91c75c25-156e-46a2-9a8f-0cf7e6294e7d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-91c75c25-156e-46a2-9a8f-0cf7e6294e7d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ff525ea5-058a-4b76-b09b-8b4dd0c2dbb9' class='xr-var-data-in' type='checkbox'><label for='data-ff525ea5-058a-4b76-b09b-8b4dd0c2dbb9' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([36.0508552 , 29.4398051 , 37.33257702, 29.58134561, 38.13773082,\n",
-       "       39.78162825])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(cluster_labels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>223.9 185.4 221.8 190.2 217.8 219.3</div><input id='attrs-6fe4ced0-e29c-4482-8b08-f18bf1c2e37b' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-6fe4ced0-e29c-4482-8b08-f18bf1c2e37b' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-ee2b4e97-93da-4d21-bba2-0d7c8ff2673b' class='xr-var-data-in' type='checkbox'><label for='data-ee2b4e97-93da-4d21-bba2-0d7c8ff2673b' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([223.86658208, 185.40970765, 221.82516648, 190.20336403,\n",
-       "       217.7810629 , 219.30300121])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-a28a36bf-80ca-40e0-8483-f930e1816017' class='xr-section-summary-in' type='checkbox' disabled ><label for='section-a28a36bf-80ca-40e0-8483-f930e1816017' class='xr-section-summary'  title='Expand/collapse section'>Attributes: <span>(0)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'></dl></div></li></ul></div></div>"
+       "       2016, 2017, 2018])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span class='xr-has-index'>cluster_labels</span></div><div class='xr-var-dims'>(cluster_labels)</div><div class='xr-var-dtype'>&lt;U20</div><div class='xr-var-preview xr-preview'>&#x27;lag:1_cluster:-2&#x27; ... &#x27;lag:4_cl...</div><input id='attrs-159fd753-87aa-4e93-87dc-2dedbd033e6e' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-159fd753-87aa-4e93-87dc-2dedbd033e6e' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-7e4a10e5-1506-4133-b6a4-ba4f96eee464' class='xr-var-data-in' type='checkbox'><label for='data-7e4a10e5-1506-4133-b6a4-ba4f96eee464' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([&#x27;lag:1_cluster:-2&#x27;, &#x27;lag:1_cluster:1&#x27;, &#x27;lag:2_cluster:-1&#x27;,\n",
+       "       &#x27;lag:2_cluster:1&#x27;, &#x27;lag:3_cluster:-1&#x27;, &#x27;lag:4_cluster:-2&#x27;], dtype=&#x27;&lt;U20&#x27;)</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>latitude</span></div><div class='xr-var-dims'>(cluster_labels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>36.05 29.44 37.33 29.58 38.14 39.78</div><input id='attrs-0378aac2-9974-42e8-b662-8959c29d797d' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-0378aac2-9974-42e8-b662-8959c29d797d' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-57e26d9c-25a7-4763-8b75-144336b61466' class='xr-var-data-in' type='checkbox'><label for='data-57e26d9c-25a7-4763-8b75-144336b61466' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([36.0508552 , 29.4398051 , 37.33257702, 29.58134561, 38.13773082,\n",
+       "       39.78162825])</pre></div></li><li class='xr-var-item'><div class='xr-var-name'><span>longitude</span></div><div class='xr-var-dims'>(cluster_labels)</div><div class='xr-var-dtype'>float64</div><div class='xr-var-preview xr-preview'>223.9 185.4 221.8 190.2 217.8 219.3</div><input id='attrs-e4ba4e68-686d-40f2-9005-2a10826a8dd6' class='xr-var-attrs-in' type='checkbox' disabled><label for='attrs-e4ba4e68-686d-40f2-9005-2a10826a8dd6' title='Show/Hide attributes'><svg class='icon xr-icon-file-text2'><use xlink:href='#icon-file-text2'></use></svg></label><input id='data-0d2d77dd-dde3-4b25-a00e-c84874c695f3' class='xr-var-data-in' type='checkbox'><label for='data-0d2d77dd-dde3-4b25-a00e-c84874c695f3' title='Show/Hide data repr'><svg class='icon xr-icon-database'><use xlink:href='#icon-database'></use></svg></label><div class='xr-var-attrs'><dl class='xr-attrs'></dl></div><div class='xr-var-data'><pre>array([223.86658208, 185.40970765, 221.82516648, 190.20336403,\n",
+       "       217.7810629 , 219.30300121])</pre></div></li></ul></div></li><li class='xr-section-item'><input id='section-28c1590f-5153-4f3f-b6ec-d30715f80b95' class='xr-section-summary-in' type='checkbox'  checked><label for='section-28c1590f-5153-4f3f-b6ec-d30715f80b95' class='xr-section-summary' >Attributes: <span>(2)</span></label><div class='xr-section-inline-details'></div><div class='xr-section-details'><dl class='xr-attrs'><dt><span>data :</span></dt><dd>Clustered data with Response Guided Dimensionality Reduction.</dd><dt><span>coordinates :</span></dt><dd>Latitudes and longitudes are geographical centers associated with clusters.</dd></dl></div></li></ul></div></div>"
       ],
       "text/plain": [
-       "<xarray.DataArray 'sst' (cluster_labels: 6, anchor_year: 39)>\n",
-       "290.8 291.0 290.7 290.1 291.1 291.3 ... 285.6 286.3 286.2 285.5 285.0 285.1\n",
+       "<xarray.DataArray 'sst' (anchor_year: 39, cluster_labels: 6)>\n",
+       "290.8 298.9 287.8 296.6 286.0 284.9 ... 291.4 298.2 288.4 296.6 286.9 285.1\n",
        "Coordinates:\n",
-       "  * anchor_year     (anchor_year) int32 1980 1981 1982 1983 ... 2016 2017 2018\n",
+       "  * anchor_year     (anchor_year) int64 1980 1981 1982 1983 ... 2016 2017 2018\n",
        "  * cluster_labels  (cluster_labels) <U20 'lag:1_cluster:-2' ... 'lag:4_clust...\n",
        "    latitude        (cluster_labels) float64 36.05 29.44 37.33 29.58 38.14 39.78\n",
-       "    longitude       (cluster_labels) float64 223.9 185.4 221.8 190.2 217.8 219.3"
+       "    longitude       (cluster_labels) float64 223.9 185.4 221.8 190.2 217.8 219.3\n",
+       "Attributes:\n",
+       "    data:         Clustered data with Response Guided Dimensionality Reduction.\n",
+       "    coordinates:  Latitudes and longitudes are geographical centers associate..."
       ]
      },
      "execution_count": 5,
@@ -581,7 +586,7 @@
     {
      "data": {
       "text/plain": [
-       "<matplotlib.legend.Legend at 0x1b733045f90>"
+       "<matplotlib.legend.Legend at 0x7fc6ef3793d0>"
       ]
      },
      "execution_count": 6,
@@ -590,7 +595,7 @@
     },
     {
      "data": {
-      "image/png": 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JyVx00UX88Ic/5J577uFLX/oSPT09zJkzh7vuuisWX91gMLQchNyZ0HZ4Spqejrqe2atXr1beTtmdO3eyePHiGI1IRz1dcsklbNu2LWZjmCyxPocGw5TmNyuheCnsfhZOuwXO+26sRzQOEdmglFrta13MndkGg8FwVOMe1ppE/hzInAadU8/0ZARFFJg1a9aU1iYMBsMk6KgG9yDkzYLM4inpozCCwmAwGCKJ7cjOn20JiqnnozCCwmAwGCKJLSjyZmnTk9EoDAaDwTCG1kqQBMgu0xpFT5P2W0whjKAwGAyGSNJyEHLLISERsopBuaG7MdajCgkjKAwGgyGStFZCntVGOLNYP08x85MRFAaGhoYCvjcYDJOgtVL7J8BDUEwth7YRFFGgsrKSxYsX8/nPf56lS5dywQUX0NvbC8D+/fu58MILWbVqFWeeeSa7du0aWX7KKaewbNky/ud//ofMzMygn7Nu3TpOO+00li9fzkknnURnZyd9fX1cf/31LFu2jBNOOIFXX30VgLvvvpuPfvSjnHPOOZx77rnj3hsMhjDQ1w69LR6CYpp+nmIaRVyUGY8qz94KdVvDe8ySZfDhHwfcZO/evdx///386U9/4hOf+AQPP/wwn/nMZ/jCF77A7bffzvz583n33Xe5+eabeeWVV/jKV77CV77yFT75yU9y++23Bx3CwMAAV111FQ888AAnnngiHR0dpKWl8etf/xoRYevWrezatYsLLriAPXv2ALBx40a2bNlCfn4+d99995j3BoMhDHiGxsKoRtFZF5PhTJRjT1DEiNmzZ7NixQoAVq1aRWVlJV1dXbz99ttceeWVI9vZjYveeecdHnvsMQA+9alPBW1etHv3bkpLSznxxBMByM7W9e7XrFnDl7/8ZQAWLVpERUXFiKA4//zzxwgF7/cGg2GSeIbGAiSlQUrOlDM9HXuCIsjMP1KkpKSMvE5ISKC3txe3201ubi6bNm2KyZhMqXGDIcJ4CwqYkrkUxkcRQ7Kzs5k9ezYPPvggAEqpkZLip5xyCg8//DAA//jHP4Iea+HChdTW1rJu3ToAOjs7GRoa4swzz+S+++4DYM+ePRw+fJiFCxdG4usYDAZvWg5CWh6k5owum4LZ2UZQxJj77ruPO++8k+XLl7N06VIef/xxAH71q1/xi1/8guOPP559+/aRkzN6odkmLE+Sk5N54IEH+PKXv8zy5cs5//zz6evr4+abb8btdrNs2TKuuuoq7r777jHajcFgiCCeobE2WcW6edEUwpQZj1N6enpIS0tDRPjHP/7B/fffPyJEYsFUPIcGQ8z59QqYfgJc6dEL5rlvwsa/wn9Nqlln2AlUZvzY81FMETZs2MAtt9yCUorc3Fz+8pe/xHpIBoMhFIaHoP0ILL1s7PLMaTDQBf1dkBI87D0eMIIiTjnzzDODtkA1GAxxTEcVuIdGQ2Nt7BDZ7oYpIyiOGR/F0WZiiybm3BkME8BXxBOMJt1NoQZGx4SgSE1Npbm52dzwJoBSiubmZlJTU2M9FINhauFXUJTo5ykUIntMmJ7KysqoqqqisXFqVWyMF1JTUykrK4v1MAyGqUXLQXAlQfaMscunYL2nY0JQJCUlMXv27OAbGgwGQ7horYTcmeBKGLs8PV/3p5hCGkVMTU8i8hcRaRARnw2lReRsEWkXkU3W49vRHqPBYDBMCM+qsZ64EiCjaErlUsTaR3E3cGGQbd5USq2wHt+LwpgMBoNh8rQe9C0owEq6mzqmp5gKCqXUG0BLLMdgMBgMYae3VZcY9w6NtcksNqanMHOqiGwWkWdFZKmvDUTkCyKyXkTWG4e1wWCIOf4inmwypxmNIoxsBCqUUsuB3wKP+dpIKXWHUmq1Ump1UVFRNMdnMBgM4wkqKCzTk3s4WiOaFHEtKJRSHUqpLuv1M0CSiBTGeFgGg8EQmJaD+tmvoCgBNQw9U8PyHteCQkRKRESs1yehx9sc21EZDAZDEForIb0QUrJ8r59iLVFjmkchIvcDZwOFIlIFfAdIAlBK3Q5cAdwkIkNAL3C1MunVBoMh3vEXGmszknRXDxwXhQFNjpgKCqXUJ4Os/x3wuygNx2AwGMJD60EoO8n/+immUcS16clgMBimHMOD0F7lPzQWvDSK+McICoPBYAgn7UdAuQObnlIyITlzyoTIGkFhMBgM4SRYaKxN5jSjURgMBsMxSbDQWJvM4inTk8IICoPBYAgnrZWQkAxZ0wNvN4XKeBhBYTAYDOGktRJyK8AV5PaaOXUKAxpBYTAYDOEkUNVYTzKnQX87DPZGfEiTxQgKg8FgCBdKQeuhwKGxNlMoRNYICoPBYAgXva3Q3+FMo8iye2fHv/nJCAqDwWAIF60OI55gSmVnG0FhMBgM4cJpaCwY05PBYDAckzhNtgNdXRaZErkURlAYDAZDuGithIxpkJwRfNuERMgoMhqFwWAwHFMEKy/uzRTJpTCCwmAwGMJFyIJiatR7MoLCYDAYwsHQQPDy4t5MkTIeRlAYDAZDOGg/AqgJaBQN4HZHalRhwQgKg8FgCAehhMbaZJWAexD62iIxorBhBIXBYDCEg5Fku1BMT1Mj6c4ICoPBYAgHrZWQmDqaSOcEe9vOuogMKVwYQWEwGAzhwGl5cU9GsrPjO0Q2poJCRP4iIg0iss3PehGR34jIPhHZIiIroz1Gg+GYoXEPdNTGehRTk4EeqHwTSpeHtt8UKeMRa43ibuDCAOs/DMy3Hl8A/hCFMRkMxyb3XQEv/HesRzE12fYw9LXDqs+Gtl9KFiSmxb2gSIzlhyul3hCRWQE2uRT4q1JKAWtFJFdESpVSZtpjMIST3lZoO+Ss9IRhPOv+DEWLoeK00PYTmRJJd7HWKIIxAzji8b7KWjYGEfmCiKwXkfWNjY1RG5zBcNTQsFM/N++P+5j+uKN6A9RughNv1Df+UJkCSXfxLigcoZS6Qym1Wim1uqioKNbDMRimHvXb9fNwv5U4ZnDMur9AUgYcf9XE9s+K/3pP8S4oqoFyj/dl1jKDwRBOGnaMvm7eF7txTDV6W2HbQ3D8lZCaPbFjGI1i0jwBXGtFP50CtBv/hMEQAep3QP4c/doICuds+jsM9cHqGyd+jMxiLXCG+sM3rjATU2e2iNwPnA0UikgV8B0gCUApdTvwDHARsA/oAa6PzUgNhqMYpbSPYtkV0NVoBIVTlIL1f4Gyk6D0+IkfZyQ7uwFyywNvGyNiHfX0ySDrFfAvURqOwXBs0l4F/e1QvAQK50HT3liPaGpw8HUtVC/74+SOk1min+NYUMS76clgMEQa2z8xbSkUzNORT4bgrLsT0vJhyccmd5wpUO/JCAqD4VjHjniathgK5uuop8He2I4p3umogV1PwwmfhqTUyR1rCmRnx9T0ZDAY4oCGHZBdBmm5UDAXUNByAIqXxnpkIXHrw1vYWt3OBxYUcdaCIlZV5JGUEKG58Ma/ghqG1TdM/lgZVki/ERQGgyFuqd+h/RMAhfP1c9PeKSUoGjr7+Of6I5TmpPGnNw7wh9f2k5mSyGlzCzhroRYcZXnp4fmw4SHYcA/MPXc0UmwyJCZDeoERFAaDIU4ZHoSmPTD/fP0+f65+nmKRT09vqcWt4J4bTqQ4O5W39zfz+p5GXt/dyAs79A14blEG/3b+Ai45fvrkPmzPs9BZAxf/XxhGbpEZ30l3RlAYDMcyTXt1hzVbe0jJhKzpU05QPL6phiWl2cyblgXAh5aW8KGlJSil2N/Yzet7Grn/vcN8+/HtnL+kmJTEhIl/2Lo/Q/YMmP+hMI2euK/3ZJzZhhG2VLXR2TcY62EYoslIxNOS0WUFc6eUoDjc3MOmI218dMV4TUFEmDctkxvPmM23L1lCS/cAz22bRJOg5v1w4DVYdT0khHGenVkMnUZQGOKcvsFhrvjDO9z1VmWshxKfKAVr/wBVG2I9kvBSvx1ciVC4YHRZgZVLoVTsxhUCT2zWVX0+sjywSemMeYXMzE/nvncPT/zD1v9Fn6+V1078GL6wy3jE6Tk3gsIAQE1bLwPDbg639MR6KPHJ+/fCc7fCu0dZS5SGHTokNjF5dFnhfOhrg56WmA3LKUopHt9Uw4mz8piRmxZwW5dL+ORJM3nvYAv7GjpD/7DBXn0dLLpEF/ILJ5nFuiBjX3t4jxsmjKAwAFDdpuPm6zv6YjySOKRhJzzzdf265UBsxxJuPCOebArm6efm+M/Q3lXXyd6GLj66Ylz3AZ9cubqMpATh7+9OoELutke0AD1xEnWd/BHnLVGNoDAAWqMAqGs3gmIMAz3w4PXaybvokqMra7mvA9oPj/VPgIegiH8/xROba0hwCRcdV+Jo+8LMFD60tISHNhyhb3A4tA/b+qA+N7POnMBIgzCSnT0J/0kEMYLCAEB1qxEUPnnuVmjcqev5zDx1yphkHGE3K/LOl8itAFdS3Nd8UkrxxKYazphXSEFmiuP9PnXyTDr6hnh6S4iFqNuroPi4iTUnCobRKAxTgSpLo+jsH6K7fyjGo4kTtj4EG++BM/4N5p1rZS1z9GgVDXbpDi+NIiER8mfHvUax8XAr1W29XOoj2ikQp84pYE5hBn9/L0Sndk8zZBSGto9TsuK7jIcRFAZgVKMAqDN+Ci0MnvwqlJ8MH/xvvcxORmuJT0FR09ZLRyjhzfU7IDkLcmeOX1cwL+4FxeObakhJdHHBUmdmJxsR4VMnz2TDoVZ21XU428k9rHtGpBdMYKQOSM2FhGQjKAzxTU17L9OytPpef6ybn4b64aHrwZUAl98JCUl6eV4FiCvuHNput+JPbxzgAz99lZ88u8v5jg07dCFAX6aUgnn6e7pDtONHkvZq3S8DGBp28/SWWs5bXExmSuj5DJevLCM50cXfnYbK9rQACtL9axT3rj3EP0LVUmxE4jqXwggKA8NuRW1bH6tn5QFQe6wLihe/A7Wb4WO/H9sfIDEFcsriyvTU2j3A5/66nh88sxMFHGzqdrajUjqHwjviyaZgHgwPQNskcg7Czd8ug6f/HYC39jfT3D0QNHfCH3kZyVy8rJRHN1bTM+DA1NrTpJ8zfGsUQ8Nufvb8bn77yiS0sMxp0BmfDTyNoDDQ0NnHkFuxcqYWFMe06WnXMzpX4uQvwaKLx6/Pnxs3pqd1lS1c9Js3WbO3ie9dupQLlhQ7D2/urNWO+Wl+Cv/ZxQHjRSg274em3SPa3BObashKTeTshUUTPuSnTp5JZ/8QT26uCb5xtyUo/GgU6w+10t47SHVb70gEYciULIPqjTA0MLH9I4gRFIaRC3vutEyyUxOP3VyKtiPw2E1QuhzO/57vbQrmQvOBmGbQut2K217dx9V3rCUl0cUjN5/GtafOojg7lYYOh32X663SHYE0CoifXIp9L+nnjmr6Bod5fnsdFy4tITVp4jWbVlfkMX9apjPzU0+zfvbjzH5556jJaP2h1okNaMGFMNAJh96a2P4RxAgKA1WWI7ssN42SnNTYmZ72PK9DEGPFYzdpm/wVd2kzky/y5+q2ofaNI8o0dvZz3V3v8bPnd3PRslKe/PIZHDcjB4Di7FTnUWv+Ip5sMoogJSd+HNp7X9DPva28vu0QXf1DXOowyc4fIsKnT57J5qp2tlUHyYi2TU9+nNkv7WzgjHmFpCcnsL5yguHTs8+CxFT9P4gzjKAwjGRlz8hLozg7NTYaRU8L3H81rPll9D8boOUgVL4JZ319NAzWF3b/gRg4tNceaOai37zJewdb+NHHl/Gbq1eQlZo0sr442wpGcPL71e+ArFJIz/e9XkSfh3jIpRjshco1kKGT0t7auIXCzBROnTv5CKTLVpaRmuQKHirbbU0MfAiK/Y1dHGzq5kNLi1k5M4/1lRPUKJLTYfYHdBnzOKv5FFNBISIXishuEdknIrf6WP9ZEWkUkU3W43OxGOfRTnVrL3npSaQnJ1KakxqbpLuDr4Nyj7bljDZ7ntPPiz8SeLsY5VIopbjl7++TkZzAY/9yOp88aSbiFa1UnK1bctY7MT81bNcRT4EonB8fPorKNTDUBys+BcChyj1ccnwpCa7JJ77lpCVxyfHTefz9aroCaWI9TZCaMxoB58FLVr+LcxcXs6oij111HaGFKXuy4EPQWhkfAtqDmAkKEUkAbgM+DCwBPikivvTgB5RSK6zHn6M6yGOEmrZeplsF1UqyU2ns6mdw2B3dQex/RT/X74jNbGr3s1C4MHjHslw7RDa6N9CDTd00dfXzpbPmsrg02+c2o4IiiKAfHoLGPf7NTjYF86CjCgYcRlJFir0vapPM8VcBUDjc7LOk+ET59Mkz6R4Y5vFN1f436mn268h+eWcDS0qzmZ6bxomz8nEreP9w28QGY/e4sCcucUIsNYqTgH1KqQNKqQHgH8ClMRxPTHG7Fb94YTf7Grqi/tnVbb0jlTeLc1JRStvCw82h5m7foYhKwf7XdPnm/vbo+yn62rUDceGFwbdNTNYJalGeaW+0bjwrK/L8buPY9NRyQFcqDdbq1HZoxzpvZN+Lur6SJcQXZnRwQnlu2A6/ojyXxaXZ/P3dwyh/k5TuJp9mp9buAdYfauG8JTqzesXMXBJcwoaJ+ilyy3WZkDjzU8RSUMwAPEs4VlnLvLlcRLaIyEMiUu5j/VHBuwdb+M0r+3jCSaheGFFKUd3ay4w8LShKc/SsNNwhsoPDbi7+zRrufPPg+JXN+3VxuqWX6fd2M51ose9lcA/Bgg872z4GIbIbDrWSlZrIvKJMv9tkpiSSnpwQ3PQUzJFtEw/FAZv3a0E1/wIa+4RmlcVJ+b3jzG6TwXZqb6/pYHOVH6e2n/Idr+5uwK3gvMXaf5KZksji0izWTdRPAdr8dPgdnQkeJ8S7M/tJYJZS6njgReAeXxuJyBdEZL2IrG9sbIzqAMPFo+/rWXS0s6LbewfpHhge1Sgs80W4/RRHWnro6h+ipt1HjPmBV/Xzqf+in6Ptp9jzHKTlQdmJzrYvmKud31E0kW081MrKmXm4AtjlRYSS7FTqO4P8dvU7tPmsaGHg7Wx/TFMMBYUdFjv/PJ7ZWkutKmBeqsOyGyFw6YrppCcncO/aQ7438KNRvLSznuLsFI6bnjOybHVFPu8faZ24+XbBhaCG9QQmTnAkKERktpNlIVINeGoIZdayEZRSzUope3r0Z2CVrwMppe5QSq1WSq0uKpp4Ak6s6B0Y5pmturxwtJPdRiKePHwUEH5Bsb9R27lbun0kE+1/Rdv+S1dAdll0NQr3sA69nH+B89aW+XOgv2M0CSvCtPcOsqehk1UBzE4207JTgk82GnZorSgpcKMfkjN0b+hYahR7X9BjzZ/DM1tr6UqeRmZf+MtcZKUmccWqMh7fVD3ynxhBKZ8aRf/QMG/saeKcRcVjBPiJs/LpG3Szo2aCAm3GKu0PiSPzk1ON4mEfyx6a5GevA+aLyGwRSQauBp7w3EBESj3efhTYOcnPjEte3FlPV/8QBRnJUQ9NtYsB2qan/IxkkhNcYR/HgUbte2nt8YoGGR6Eg2/C3A/qkMziJaPJYNHgyHtaxV/gwD9hE+XigJuOtKEUjgRFsSONIkDpDm8K5sUu6c4Oi51/PkopdtR04MqdAR0BnM6T4ItnzUUpuON1r9+1vwPcg+Oc2e8eaKGrf4jzl0wbs9wuhbNuon4KV4KeuOx9QQcexAEBBYWILBKRy4EcEfm4x+OzQOpkPlgpNQTcAjyPFgD/VEptF5HvichHrc3+VUS2i8hm4F+Bz07mM+OVRzdWMT0nlQuWlkRfUFizJzvqSUQozkkJe9LdAUujaPXWKKrW62zUuefo99OWQNMeLUCiwZ5ntRN93rnO94lyiOzGQ624BJY7cODqPJh+/07ZgW4dfumvdIc3dhXZWESi2WGx886nvqOfzv4hkvLKtWAfCH/L3hm5aVy+soz71x2hwVPYdvtOtntpZz2pSS5OmztWgBRnp1KenzbxfArQfoq+Nqh6b+LHCCPBNIqFwCVALvARj8dK4POT/XCl1DNKqQVKqblKqR9Yy76tlHrCev1NpdRSpdRypdQHlVIhlMacGjR29vPG3iYuPWEG03NSae0ZDL3z1iSoaeslNclFQcZoz+SS7NSwm8AONPnRKA68qu3lsz+g3xcv1bO3aMWR734OKk7XMfJOyZ0JkhA1jWLj4VYWlmQ7qpJanJ3KwJCb9l4/grZhF6BC0yj62qG7iR88vYN73q50PO5JY4fFzjp9JBowc5pVEr0jMkEfN509l6FhN3/2DLrwUb5DKcXLOxs4c36RzzIiJ1bks/5Qq3+BHYy55+gJTJyEyQYUFEqpx5VS1wOXKKWu93j8q1Lq7SiN8ajmic01DLsVHz9hxogj2XG9njBQbeVQeEaRlOSkhV2zsX0UbT0DY/88+1+B6Su1MxlGQzaj4adoOaALzS10GO1kk5CkS45HIWx02K14/3AbqypyHW1vh8j6FfROI55srOKAjYe28+c1B/nBMzs50hL+2bxP9r2oJxBJaext6ASgaIalzUXI/DSrMIOPLp/OvWsPjfrTfGgUO2s7qW7rHYl28mbVrDyauvo51DzBc5WarScwceKncOqjuExEskUkSURetrKlPxPRkR0jPPp+Fctm5DC/OIviCIWmBqK6dTSHwqYkW5ueJjwb8qKtZ4CW7gGmZaUw5FZ02hmwvW1QvUH7J2wK5uuZVDQin3Zbs7VQ/BM2+XOjYnraU99JV/+QI/8EOMjOrt8BSemQ5zAWxTKzbd28HqVAgB+H0vNiothhsfPOB2BvQxe56UnkFFfo9RHSKAD+5YPz6BkY5q63LK3Ch0bx8s56ROCcRcU+j3HiLF0aZcJ+CtDXZeMuHWEXY5wKiguUUh1oM1QlMA/4eqQGdaywp76TbdUdXHaCTh8pcZpZG0Y8k+1sbPNFm7eZaILY2oTt5Gvrto578A1dtsP2T4BOaCtcEB1BsedZKFqk236GSv4cfSOLsO1+42Ft5141009NJi+Ks4JcQw3b9Xd2Ofzr51agXEk0VG7nxFl53HT2XJ7eWju5G6AT9r6on+efB8C++i7mT8tEsq2M7I7IJWXOL87iw8eVcPdbldqE56Mg4Es761lelktRlu/ikfOKMslJS2LDRCvJgvZTwEhBxP2NXeyt75z48SaBU0FhFzi5GHhQKRWk1KLBCY9srCbBJSPlCKItKPoGh2nqGhgnKEpz9PtwaTZ2xNOqCn2za+mxVPoDr0Jy5vj8hWlLIm966muHQ29PTJsAPdMe6IKuhvCOy4sNh1opzEymPD9IKKvFNMv01ODvt6vf4dw/AeBKoD+7gvzeQ3x8ZRlf/MBcSnNS+d6TO3C7Iygk9704EhYLsK+xi3nTsnRIb3pBRDUK0FpFZ/8Qf3unUpueEtN0uDD63G6uauf8Jb61CQCXS1hVkTc5gVowV2vYe55j2K244e51fO3BzRM/3iRwKiieEJFd6DyGl0WkCDhGmxaEB7db8fimas5aUERhpv5zZ6clkprkilpRvpq2saGxNiU5lp07TOPY39hNUoJwfJl2GLfagmL/K7o0g3ehteIl0H5E38wjxb6XdDZ2qP4JmyiFyNqJdk4zkVOTEshNT/It5Lsa9OzYacSTxUE1nTmuOi5aVkpacgL/eeFCtla38+j7kfETeIbFAjR39dPSPcC8aVZWevZ03RY1ghw3I4dzFk3jzjUHGexsHGt22qUnB+f68U/YrJ6Vx/7Gbt+5Q05ZeCFUruHVLfs51NzDgabusJmEQ8GpoNgIXACsBr4B3Af8e6QGdSyw9kAzte19I2YnsEJTIxBx5A/v0FibkezsMGoUM/PTKbIEYmv3gDbbtFaONTvZ2Deyhgimzex+DtLynWdje1NgFQ+MoJ+iqaufyuYex/4Jm+KsVN8+CtucF4JGMTDkZm17HrOknpxkLawuXT6D5WU5/PT5Xc7aiIaKHRY7f9Q/ATB/RFDMiLhGAXDLOfNo7RmktrZqjNnp5Z31lOWlsbA4K+D+tp9icuanC2F4gPdffwyAzr6hsJmEQ8GpoPiWUuowcCpwHvBr4BcRG9UxwMMbq8lKSRynvobUpWyS1HhlZdtMy0pFJHwaxYGmbuYUZZKXrkNwW3sGYb9VtsPTkW1j38gi5acYHhrNxnZNsENazkztdI9g5NNG6wYTsqDISfVterLNeSFoFK/tbmDHYDGJDOl6XGizyrc/soT6jn5ufz0C33/vi9rUU3GGfmsLimJPQRFZjQJg5cw8zphXSGdLPcNpWlD0Dgzz5t4mzltcHFTLWzYjh+QE18QbGQGUn8xwcjYzG9/kpNla8ByOVtSZB04FhR3YfzFwh1LqaSA5wPaGAPQODPPctlouWlY6LgY7EjkM/qhu7cUlUJIzNncyOdFFQUZKWHwlQ8NuDjV3M7cok6zURBJcojWKA69CTvlo4TlPcsohJTtyfooj7+pkJifVYv2RkAh5syJqetp4uI2kBBnpYOeU4qwU39dQ/Q7duS7TeZmbRzZW05JqVdrxqPm0qiKfS44v5Y439k+8R7Q/9r0Is8+EJH1d7qvvJDMlccSHR/Z06G2JSNKdN7ecM4/s4XYqe/Vnv7Wvif4hN+ct9u+fsElNSmBZWc7k/BQJSWxOXc25Ce/znxfoUOVDcSwoqkXkj8BVwDMikhLCvgYvXthRR/fAMJetHF8styRHC4po2CGr2nopyU4lKWH8T1kykezsqg3jKl5WtfYyOKyYU5SByyXkpiXR3t0DB96AOWfrsh3eiOimOpEq5bHnWXAlwdwQsrF9kT9H9892gFKKf/n7Rv76TqXjw2881MrS6Tkh94Uuzk6lsbOfYW9nc/1W5/kT6LDml3fVs+Q4q8SaV82nWz+8CLeCnz4XxnBZr7BY0I7sudMyR2fwOWX6ubM2fJ/rh5Nn51OU0Mm6BhcDQ25e2llPVkriyOw+GKtn5bG1un3CSbT1HX3c27KYQmnnONHX2uHm6PcHcXqz/wS61MaHlFJtQD4mPHbCPLyxmhm5aZw0a/zFNi0rJayhqYGobu0d55+wKckOMemurwP+8iG47xMwNOq8229FPM0t0hEjeRnJZLVs030nfPknbKYt0aGckRCYu5+DWafrpKbJkD/XcYjslqp2nt5Syy9f3OPopjEw5GZzVVvIZifQSXdupZ3AIzTugdrNoxnwDnhySy2Dw4oLT1qqM9e9aj6V5aXz+TNn89imGt4/HKaS2F5hsQB7rdDYEewQ2Sj0LZGhPlJVH4f70nl4YxUv72rgAwuLSE50dutcXZHP4LBii7/y5UH46zuVvDp8PEpcpB54kWlZKRNP4psEjr6tUqpHKfWIUmqv9b5WKfVCZId2dNLQ0ceavY187ITpPktGl0Qx6a6mvXdcxNPoOPyYL/xxeK0uvVH1Hrz4rZHFdo2nOYX6j56XnsTs9ncB0RqFP4qX6qincDstm/frG57T3hOBKJgLg93QWRd00wfWH8El2j/zyMbg9vUdtR30D7knKCh8JN2t+zMkJMPK6xwf55GNVSwqyWLJ9BwdpumjiuxNZ8+jKCuF7z+1IzxasFdYbHvPIA2d/V6CwtLEo+DQtrOy0/KK+eHTO2ns7Od8B2YnG/v3m4j5qXdgmPvePcyJi+ch5SfDnueYmZ8e16YnQ5h4YnMNbgWXnVDmc320cimG3Yratr5xjmzPcbSFUneq8g19I1p1Pbx7O2zTBYcPNHWRn5FMnlVLKi89mcU9G2D6CkgPoL7bpTzC7dC2a+dMxj9hY7dNDeLQ7h0Y5slNNXxsxQyOm5HNnWsOBM1B2DBBRzb4iFrr74LN98OSjzn2Txxo7OL9w218fOUMbfIpmOezL0VmSiJfv2AhGw+38eSWSZqCRsJiLxhZtK9RJ5iNOLJhVKOIgkPbzso+4/iFdPYPkeASzl7o3MeTn5HMvGmZE4p8euT9Ktp6BrnxjNk6+a5uC8uyuzkcrxqFIXw8vLGa5WU5ozHhXjjuezxJGjr7GHIrv6ankBsYVa7RoaYf/imUnwyPfxkad7O/sZs5hRkjm5WkDLJoeBfM8RHt5Mm0xdZAwywodj8LRYu1I3qyFDjLpXhmay2d/UN84sRyPnfGHPY3dvP63sANtjYebmVGbtrI7xAK466hLQ/oUtknfcHxMR57vxqXwKUrrNl74TzorNFCx4vLV5WxdHo2P3l21+QKWo6ExY6anfaNhMZ6hKImpenQ5qgICq1RLF8wl6XTszltbgG56aHF8ayuyGN9ZUtICYput+Ivaw5y3Ixs7Q+xNOAz1EbqOvqiWjgUjKCIKrvqOthZ2zEmd8IbO7O2rj2yIbLefSi8CSk7u69d279nnaFLcFx5t/4zP3ANtQ2NzCkaFRTHD28lETfKV1isJ2l52sQQTod2b5tuMRkObQJ0kyVXUtBcigfWH2FWQTonz87nomWllGSn+m4J68HGQ60B+2MHojAzGZdY2dlKwXt/gtLlULba0f5ut+KR96s5Y37RqKAa6Z89/rsmuIRvXbKE6rZebvfu5RAKXmGxoP0TqUmu8ZpvTnRyKejWGoUrs4h/fOEUbv+Mz95pAVk9K5+OvqGRMF8nvL63kf2N3dx4xmyt0RUthNwKVjc8zHSaqGqNrlZhBEUUeXRjNYku4SPLp/vdJiUxgfyM5Ij7KOxkuzJ/pqdQsrMPr9U1m2ZZf/Ds6XDFnajmvXx94PdjNIpF3evoUSn0THPwhwt3KQ87Gzsc/glwFCJ7sKmb9w628IkTyxERkhNdXHtaBWv2NbGrzncHtJq2Xmrb+1g1M3dCw0pMcFGYmaJ9FIfegsadWptwmN29rrKFqtZeLveMyivQoZn+ut2dMqeAjy6fzm9f2cd7BycQDqoU7H1+TFgs6ByKuUWZ4/152TMinp0NjNZ5yiggKzWJDAel3r050apxtv6Q8/PylzUHmZaVwsXLrHuFCJz/PTJ7jvB8yjcYfO+uqPYIMYIiSrjdisc2VXP2wiIKMn0XErPRSXfRERRBTU9OxlH5pvZPeGY5zzmb2pX/wUcT3uHs9kdHFs9se4+17sW0Dji4aRUvgcbd4WtitOc5nWHrcGbtiIK5AUNk/7n+CAku4YqVoz6pT500k7SkBL9axah/wlkIpi9GMvzfu0NrZ8dd7njfRzZWk5GcwAVLSkYX2v6YAP2zf3DZcczMT+fL92+kqStEjbh+m87UX3TxmMX7Grwinmyyp0fPRyEJkJo74UPMzE+nMDPFcSOj3XWdvLm3ietOmzU2umrpx+j47Otsdc9m8fpvwd8+Bm2HJzyuUDCCIkrUd/ZR39HPWQsD14cBXeY74hpFay+56f5nSFmpSWSmJDrTKA6+qYWEVw/md0qv5aXhE1i4+ce65WjbYbK7K1njXkZrt4Ob/zSriVE4ejZv/gfsfFKXRPCTjT047A690F2AENmhYTcPbajigwuLmObha8hNT+bK1WU8vqlmbCc1iw2HWklLSmBRaeASEYEozk5hqK0adj4FJ1wTvD+2Rd/gME9vrR2p6zRCcrpu2LT/Fd1n3AdZqUnc9qmVtPUM8tV/bBqfxxGInU8BAgsvGlnU3T9EdVsv832VysieoZPuBsOc7OdNd5OeXDjUxnwhIpw4y3mBwDvXHCA1ycWnT545bl3ujPl80fVtnir/uu4O+ftTYd2dEdcujKCwcLsVv3xxD89sreVAY1doF7kD7Bvu9JzgzsmSnNSIO7NrfJQX96Y4OyW4oOhtg7oturifF/ubevjP4Zv1n/qf18HWBwF4w71stDBgwAGEoZTHQDc8djM8+kXdIOnc7/jcbHDYzbk/f52fvbA7tOMXzIGhXp/JX6/ubqSxs59PrC4ft+7602cz6HZz79rxM8L3D7dyfFmOz0RIpxRnp3JW51PaJHjijY73e2GH7t/+8ZU+ovI+8HU4shZe/YHf/ZdMz+Z7ly5lzb4mfvtKCF0Kdz0FM0+BzNGJ1GgOji+NIkohsj3NYwoCTpTVs/Kpau0N+n9q6urnsU01XL6yzKfTXEQoy8/kYdcFcPM7Wjt++t/hrx/VGlmEMILCoq6jj9++speb79vIOT9/neO+8zyX3vYWtz68hbvfOsi7B5ppn0QSnH2BOIliKc5OpalrgIEh94Q/Lxi++lB4Y2eJB8TbP+HBgcZucvOnIVf9Tf/hXv4eQxkl7FMznAmKwgVa7Z+on6J+B9zxQdj0d32Tu+5JyPIdA//a7kYOt/Rw7zuHQit0Z1eR9eHQfmDdEQozU/jgovFa5OzCDM5dVMy9aw+NiWDpHRhme03HhMJiPSnNTOAy94sMz78gpAivRzZWMSM3jZN9ZR6vvFbnYbz5c62d+eETq8v5+MoZ/PrlvbwZJLoL0I156rfBokvGLN5b71XjyZMcW1BE2PxkaxSTZHWFMz/FvWsPMTDk5oYz/PdIqbBzKXJnwjWPwUd+DdXvw+9P04ELEdAujKCwmJ6bxo7vXciTt5zBT684nk+eNJP0pASe217Hd5/cwVV3rGXF91/ghe3Bk6t8Yd9wvesq+WKkJaoPs0Q4UEoFzMq2cZSdXfkmJKT4rMJ6oKmLOUWZOuLm4p8DMDzrLMCq9xSMxBTdijPUyCelYMM98KcP6pIi1zwK5/yPdj774cH1R0hJdNHZP8Tjm0KYpY7kUowVFA0dfby6u4HLV83wqxl87szZtHQP8JhHue4tVW0MudWkBcXKnjcpknZaFl/reJ+Gzj7e2NPIZSfM8JkMCsBFP4MZq+DRm3S2tw9EhP/92HHMn5bJV/+xKbhWuusp/bzYS1A0dJGUIFTkp4/fx9YoIu3Q7mkKi0axZHo2aUkJPLu1jp21HT4nI32Dw9y79hAfXFjkW4uyqChIp6qlV1s9RGDVZ7V2MfPkiPXYDt2FfxRjF/FaVjZahE0pRUNnPztqO/jcPevZUtXOBUtLAhzFN3UdfSQlCPkOYrBLPDJry/J8/EkmSXvvIN0Dw5T5CY0dGUdOCg1WzaAEfzcOO38iaawAHHYrKpt6+KDtk1l5DSQkk1h2ErJxBy1OtbNpS6B6vbNtAfo74al/02au2WfBx//kV4uwaerq55VdDVx/+ize3NvE3945xNVWlFJQcsq0I99Lo3h4YzXDbuXT7GRz8ux8lk7P5s41B7nK+rwNVimME2ZOTlAsOfIAB93FtOSfgtP0sCc2WcmgPmqQjZCYAp/4K/zxLHjg0/C5l32WQklPTuT3n17JR3/3Fl++fyP3f/4UEv2Z0nY+BcXLxmk++xo6mVOY6Xu/rFL9HGmNoqc5LBpFUoKL0+YW8PTWWp7eqs2URVkpVOSnU1GQQUVBOq09AzR1DXDjGXMCHmtmQToDw27qO/pGJ3u55fCZR3QzrUn4U/wRU41CRC4Ukd0isk9EbvWxPkVEHrDWvysis2IwRoqzU/ngwmkUZ02gUJ5FfXsf07JS/c/UPPCbdNde5deRGArVfsqLe1OSncqwW/mPYBnxT4w3O1W19jAw7B6TQ8Hyq0gomE1OWhJtTkxPoDO02w7rWlLBqN2ib2DbHtYaxDWPBhUSoJPLhtyKK1eXc82pFeyo7WDj4TZn43Ml6P7THtnZSikeXH+Ek2blB5wZigifO3M2exu6eGOvDsPceKiNOYUZ5GdMojhz7RZymzZw7/D51Hc6N5c+vqmG5eW5AccMaOF45d1aOD52k19Tx7xpWfzo48tYV9nq3/fT1aCr+XppE6AjnvwlppKcbiXdRdBHMTykNdL0yWsUALd9eiVP3HI6v/3kCXz9Qws5e0ERLpfw1r4mfvHiHu56q5LFpdmcPi+wYKrI1/+pcTWfRCBl4gEQgYiZRiEiCcBtwPlAFbBORJ5QSnnaGW4EWpVS80TkauAn6Aq2MaE0N43a9olFWdR19DkyO4FHvSdPoVS3De44C5Z9Ai77w4TGYGMn2wU1PdlJd+19vn0rh9/R/onZ4x3Zdo0nXzed/PRk512/7FIeDTu1au2Pjhq4+2LdrvK6p3TRPwcopXhoQxXLy3NZUJzFjNw0fvTMLu5de8i5+adg7hhBsa6ylQNN3dz8QR8l1L24eNl0fvTMLv785gE+ML+QjYdbOceHTyMk1v0JlZjGg30fYIbDiU3f4DA7aju46ay5zj5j9plwwffh+f+CNb+EM333Mbt0xQzeO9jCH18/wIkV+Zzn3T5019OAGuef6Bsc5nBLz2hmuC8i3Zei1/InhMH0BNpicXxZLseX5Y5b1zc4zJGWHgozU4JqshUF2spwuKWbU+dOXttxQiw1ipOAfUqpA0qpAeAfwKVe21wK3GO9fgg4V5z2hIwAJTmpE27mU9/R71hQ5KUnkZzgGtUolIJnvq6TxTb/XZehmATVflqgemObwPxqUZVrtH9ixvi8BDtiZY4PQZGbnuS8Oq5dFjtYKY/n/xuG+uGzTzsWEgDbqjvYVdfJlat0lE9GSiKXr5zB01tqx1ZfDUT+HC0o3Dr44IF1R8hMSeSiZcFNlMmJLq47TZu8nt9eT0v3wOT8E72tsOVBOP4T9CZkUe/Qz7W7rpNht+K4GSFU1D3lZp2f8cr3Yd/Lfjf71iVLWDo9m/94cDNHvAva7XpKm5zsCYHFgcZu3MqPI9sm0rkUVkHAcJiegpGalMD84qyRmmiBKM1JJdElUa0iG0tBMQM44vG+ylrmcxul1BDQDoz71UTkCyKyXkTWNzY6iLKYINNzUqlp7w25SqZSirr2vtHGK0EQEaZlezQO2vogHH4bLvo/KD4OnvwK9Ey8GUpNWy+pSS4KglyUxVZ2tl+HduWbUH7SOP8E6K52uelJPk0o+RkhaBS5MyE5K7BDe/+rsP0RPastcDgjtnhwg3Zie2bLf+aUCgaG3fxzvcMy1gVzdY2izho6+gZ5emsNH1k+nfRkZwr7p0/WCXj/89g2YGKFAEfY9HcY6kVO+jzTspx3S9xeo017S6eH0CRJBD76W1076+Eb/YZnpiYl8PtPr8TtVvy/Jz0Efl87HHhdaxNe87+9DVYxwGkBTCk5Ec7OtgoChkujCBeJCS5m5KVFtYrsURH1pJS6Qym1Wim1uqjIeWXHUCnJSaNvMPReER19Q/QODjsWFODR6a6vA174H50DsPpG+Njv9QX83DiXjmOq23TEUzDlrDAjhUSX+A6R7W3TPgEf/gnQ1Uc9S3d4kpue7NxHYTcx8hciO9QPz3xN+wlO/6qzY1r0DQ7z+KYaPrS0hJy0pJHl84uzOGVOPve9e8hZPo0d+dS8nyc319A36OaqE/07sb3JTU/m8lUzaOrqJys1kXnBfAT+cLt1eOTMU6FkWUj5ONtr2slOTQwa4DCO5Ay4+l5tgnzgM367zlUUZPCZUyt4dXfjaNWBvS/qhMrFHx23/b6GLhJcwqzCAMEcdqe7SCXd9URPowiVmfnpUa0iG0tBUQ14/pvKrGU+txGRRCAHaI7K6HxgJ8uF6tAeyaFwaHqyt63v6Ic3fgpd9VqbcLl0qOkHvq4rgu58KqRx2FS3Bs+hAN0buTg7lXpf3/fwO4DyKyj2N3b7dYrmpSfR4lRQgE68q/fTxOjt3+rM7Yv+z6dmE4gXd9TT3jvIlavHJ5ddc8osqlp7eX1PQ/AD2bkULQf457ojLCzOYnlZCDNz4IbTddz8CTPzHAU8+GT/K9B6EE78HGAlTDoUFNtqOlgyPdtZpJc3+XPg43/WfrTnv+l3sytWlTHsVjxqhwPvfBIyi32GVu9r6KIiP52UxADd/bKt3y1SDu0R01N8aRSg/RSHotjpLpaCYh0wX0Rmi0gycDXwhNc2TwB2p5UrgFdUNHqE+qFkRFCENoMZyaEIUaNIb9+HWvsHXYKhzKOI3pn/ASXL4KmvjlS3DAUnyXY2xdl+Ir0OvgmJqT79E519gzR29vv0T4Ductc36HZeKnnaUt3j2jv7ufUQvPF/ekbqUZraKQ9uqGJ6TiqnzR1/I7hgaTFFWSn87Z1DwQ+UPQMSU2k+spPNVe0jBQBDYU5RJo8c9zb/PWcS1Vff+6O+8VozdKemp6FhN7tqO0IzO3mz4AI47RbYcDccesfnJnOLMlk5M5eHNlShBnq0RrHwIj0B8mJvoIgnm0j3pbBNT4H6psSIivwMOvqGJpUEHAoxExSWz+EWdIvVncA/lVLbReR7ImLroncCBSKyD/h3YOL2ljBgRwmFqlHYM/JQBEVxVjLf5C+QlAHnfXfsyoQk+NgftPnn2dA60vYNDtPUNeBYUJTm+Em6q3zTZ/4EeHS1K/JtesqzckkcZWeDRykPL/PTc7eCuODCHzk7jge17b28ubeRy1eV+cwRSUpw8cmTZvLansbgKr7LBXmzaazcQXKCK2AZeb8oxcpDd7Fw3bf9mm8CUrMJ9r6gtYlEfX5LclLp6h+iqz9wpvmBpm76h9wsnT7J1rBnfxNyynUei59CjlesKmdvQxcH1z2juwP6CIsdGHJT2dQd2JENkS/j0d2kiwEmJAXdNNrMtCKfDrVER6uIqY9CKfWMUmqBUmquUuoH1rJvK6WesF73KaWuVErNU0qdpJRy1sk+QhRmapv9RDUKu9eEE1Z0vcEZCdtpPOnrvp1pJcvgrG/onIHtjzk+bk2QqrHe2FVIxyhyva1Qt9VnfSfQGdkw2ifbG1tQOHZo+4p82vUM7H4Gzv6GjusPkUc2VqOUNof445MnleMS4b73gmsVzSllJLYd5IKlxRPLgehr1zfO7gZYf2fo+7/2Y31TO/mLI4uKs4MEI1hsr9H9nCelUYD2V1z0M13W/J3bfG5yyfJSUhJdtG54GFJyYNb4Ht6HmrsZcqvAjmyIfO/sMCXbRQI7RDZakU9HhTM7WiRYNvuQfRQdfeSlJ5GaFMDe6slAN8u3/5Qd7gp2l13hf7szvgqlK3RRsC5n0V5OQ2NtSnJS6BkYpqPPY1Z6KIh/oqGbBJcwM9+foNAzNMdBAen5OhPX1igGeuDZb0DRIh2iGSIjCXGz86ko8D1G0NrU+YuL+ee6IwHNZM9tq+WRQ6nMlHq+fcmikMcDjJpPkjJgza98dpLzS/UG2PMsnPZlSB292RdnOeuWuL26g5REl1/BHhILP6yjmF77sTYNepGdmsRFSwuZ0/Imw/POH9F+PLG72gU1PSWn6xLqkdIowlS+IxLMzLdzKYygiEtKclKpbQvd9GQnrznizV+Q0lPLtwY/S11nALOBbYLq79TCwoH7ZqSznUONwh73mJtN5Rrtn/DT1+FAUxcz89PH1tL3wJ5xO9YoQGsVdhXZN38O7Yfh4l9MyCyw/lArlc09I7kTgbjm1ApaewZ5ZqvvftD/XHeEm+/byFDuLJIZZJp7grEW9s3ug/+lb1Dr/uR831d/pLOUPbQJYKS0eTA/xfaaDhaVZPkvsREqH/6JNgk+83Wf1+QN5fXk0cn7Gb4nGnsbuhDxUzXWm+yyCJqemuPSkQ26REphZkrUHNpGUIRIqZOKql7UdfRR4tTs1Lwf3v4Nw8uuYoNaGDy8sXiJtg3vfELnEgShpq0XlzgrTgijfpUxiYaVb+j8iUTf3+mAV59sb+zyyY5DZEEnZDXt1hnab/0ajr86pMQ6Tx5cf4T05AQuWlYadNvT5hYwpyiDv60dPzv+85sH+M+Ht3D6vEKu/8i5emGQ/tl+sc0nSy6Feefr79jfGXy/I+/Bvhfh9K+MK99g/8aBriGlFNtr2lkyWbOTJzllWuDtfX604J8HSzveoJ8k/ljju6bR3oYuyvLSxvbD8Ef2dOiIlOmpCTLi0/QEduST0SjiktKcVGraQku6q3davkMpbVJJSCHhgu+Rk5akQ2SDcdq/6oqeT/8HdNYH3LSqrZfi7FTHvQ7GCYqeFh0G6cc/MexWHGzq9uvIBp2ZDdDipHmRTfFSGB6AB66BpHRdPmIC9AwM8fSWWi5eVuqoraWI8JmTK3j/cBvbqrUtXynF/z2/m/99eicXLyvlz9etJrV4gd4hSP9sv3TU6Fl4Vgl88JvaD/TuH4Pv9+oP9Kz3pM+PW5WZkkhGckLAiU1Vay8dfUOTd2R7c/KXdKG/Z78xVuAphWv3M1TlncLL+7t8VjrYW98Z3D9hkz09MhqFUpaPIj41CtDlxsdlukcIIyhCpDQnjf4h50l3/UM6yshJHwr2PKdnh2ffClklo0l3wUhIHI2C2nhPwE2d5lDY2A74kXEEyZ+oaeulf8gd0GyQlOAiKzXRedQTjDq0m/fCud8a0+AmFJ7ZWkf3wDBXBqjq6s3lq8pITXJx79pDuN2Kbz2+jd+9uo+rTyznN588Qcf6Z5VCYtqYmk8h0VGtQ1sTkrTQX3ChzhHpa/e/T+VbcOA1OOPftCPZB7qtrv/JxmhGdpgFRUIiXPJLfRN/1SMqrXYTtB8h54TLcCt4eONYbWDYrTjQ1O27/akvcmboG/pgmEvy97Xrkjlx6swGHflU29FH/9DkC4UGwwiKECm1NIMah5FP9p80aGise1iHexYtGrE1F4fS6a5oIeRVQOOugJvVtPc6dmSDLr+Qn5E8Kihs/8SMVT63D1TjyZP8jOTQBEXRQnAlauf96huc7+fFg+uPMKsgfaThvRNy0pL42IoZPLapmlvu38i9aw/zxbPm8KOPLxsNrXW59Plvc5B34YuO6tFwT9DmxL42WHu7/31e+5EWLgHOx5hSMD7YUdOOS2BRSZgFBUD5ibpXwrt/gNrNetnOp0BcFK76GCfNyufhDVVjtPMjLT0MDLmZ61RQjITIhjmXIk7Ld3hSUZCOUnCkJcLtYDGCImRKc0crqjrB/pMGzcruqNa1ck7+4oiDtsRJK1JPChdAk+9mMqBna7VtfY5DY22Ksz2KIdr1nQL4J8B/DoVNbnoyraEkCyWmwFX36V4IfnpeB+NQczfvHmzhilVlISfEfeaUCvoG3TyztY5vXLiIb3548fhj5JRPvNl9e/VouCfA9BU6euid27Sm6M3BN/Rvcca/6+gfP5RkpwYsDLi9poN50zKd+QMmwnnf0bPyp/5NT4Z2PQUVp0NGAVesLuNAUzcbrR4coP0TgHONIlK5FHGclW1jRxUejkIuhREUITKqUTi7gTvOyrYLqtnlILBbovYzNOywJWrhAmjaN1LF1JuGzj6G3Cok0xNYDvz2Pg//xPjYd5sDTV1kpyYGLTiYl57krMudJwsv1LP2CfLQhipE8N0POgjHzcjhlg/O4xefWM5NZ/spPJg7E9qO+F4XCKX0jc47H+TsW6G/Hdb+fvz2r/4QsqbrGXsAirN1KRh/PrXtNZPMyA5GWh586Ic6hPeFb2mN1yopftGyUtKSEnhow6j5yS4GGDQ01iZiGoUlKOLcmQ3RyaUwgiJE7KS7OoempzqnWdm2oPDo8lWcnYpbQVOXwxtq4XwY6oV23zerkdDYEAu/6ZtNHxx6m0D+CdA5FHOnZQadseenh2h6CgOPvl/NGfMKQ9aobL72oYWBhUxuuS5SF0oOBGgT02D3WI0CdFLl4o/CO78fWy34wKvaV/SB/wha32padioDfnxqTV391HX0hd8/4c2yK3W3wbVWEt6iiwGsUuylPLm5lt4BbWffV99FaU4qWakOw54jVcZjpHxH/AqKgoxkMpITjKCIR0aS7hzmUtR39JGS6BqJ9PFLa6W2wXvYqUcijpz6KQoX6uemvT5XO+1s501JdirN3QMMHXxDO2xnrPS77YGmLuYUBp8N6gqy0alTA/qmWNXay1kLIlddmBzLQe5HUPvFNpt4+ihszv6mbm/5zu/0e1ubyCnXNcCCMNJW14f5yXZkL4m0oBCxcl6StY8pdzSQ4IpVZXT1D/G81Yt+X6ODGk+eRCrpbgqYnkSE8vz0qCTdGUExAUpznGdn11kNi4LaxFsr9Z8/YTRk02enu0AUWiGafvwUExUUtrnNfWBNQP9EV/8Q9R39Qf0TAPkZSXT1DzEw5NCsNkl212mTRkSctja5llksVD+F3VPBl6AoXgJLL9Ohst3NsO8lqFoHH/ia399hzO521JqPa2ikdEdpBE1PNoXz4JP3w0d+NWbxybPzKc9P48ENR3C7VeD2p/7IjkBfip5mHYYdwP8TD1QUGEERt5TkpDqu91Tvr42oN62V45rL++2d7Y+MAp2h2+S7P3F1ay+56UmO8gfGjCMnlQ+4NpPctB3mnet3u4Mj7U+DC4oJJd1Ngp21eva8qDQyPYWB0ZlyqILCNpvk+CkmeNY3YKAb3v61zpvIrYAVn3Z06OIA2dnbazooy0sjJ5i2Gy7mnQfTTxizyOUSLl9Zxtv7m1lX2ULPwLDzHAqbSHS6626Ka23CpqIgg8MtPbid9E2ZBEZQOGWwD178NjTuZnpuGrXtfY6S7nRW9sQERUFGMokucS4oQIeR+jE91YRQXtyT6cm9/DTpDjqy5sJJX/S73WgxwOAzwpEyHlESFLvrOinMTKEw03lhxpDJmKZbw05EUIgLMv20Tp22CJZdofMqat6Hs/7TcemSoiz/hQF31HRE3j/hgMtXlqEU/PR5PcEJWjXWm0j0zo7zrGybmfnpDAy5Hbe8nShGUDjl2a/rsgpPfpXS7BT6h9xBwzuVUlpQBAuN7e/Uqq6XoHC5hGlZzprPDA67+dSf1vJiYw6dVTv44+v7eXlnPZVN3SNd2uzOdqFS8e53KKCDlxZ9P6DzdH9DFy4ZLYEcCNtn0xpKdvYk2FXXyeJIahOgcylyyibmo8gsGWN2HMdZ39DPebN1+RKHpCYlkJeeNO5G0tU/xMGm7shGPDmkPD+dU+cUsOGQDpMNucNfdgSS7uK4cqwn0Yp8Cs0Gcazy/n2w8a9Qcjwcfptl5euATGrbewOWlG7tGWRgyB3c9GRX2fQR+uk06W59ZStv72/m7NzpnD/cyu+fXU87+g+XnOBidmEGB5u6fTbpCci2h0ne+Qi/Vp+gQ83m4wE23d/UTXmwrmQW9nmLRuTT0LCbPfWdXHvqxENrHTORENn2qvERT94UzofL7oD82YEFig90HsxY05NtiosHjQLgytVlvHOgmcLMZPJCLdNum+w6a0bb0k6W7ubR4JA4psLOpWju4ZQ5kRNsRqMIRt02XZl11plw4wuQN4ulO3+F4A4a+TSZ0FibEs9ktwC8sque5AQX13zkfADeurGMh286jZ9efjzXnz6Lsrw0ZhdmcNbCEKJ+Omp1/agZq3gi6+qgmk2wYoCehNy8CPjuE9t5Y4+zcuqeVDb30D/kjqwj2yZ3Akl3HTX+/ROeHH+l34q9gZiWnUqDl0axvTpMPSjCxIXHlZCZkhi6Ixs8+lKE0fwUxyXGPZmem0qCSyLewMhoFIHoa4d/XqMbwlzxF0hKgw/+N2mPfJ5LXGup7Tg+4O62JlCSE8QuHkBQFGen8ubepqBDfXlnAyfPySetVNdAyuw8wKqVp7OqwnmpijEoBU98Wavzl/2RokeaAgqsdw80s7+hizPmOZvVjJqenAmKrv4h7n67krr2Pj4QYojrrrooOLJtcmfq5kODvfp6CYZS2r4+//yIDak4K4Xd1jmw2V7TQUFG8khUVKxJT07k11evCB5G7otwZ2cP9MBgz5QwPSUmuJiRmxZx05PRKPyhFDz+L9osdOVdo0XojrsCVbyUryU9SH1L4DLQI1nZwXpRtFbqhjNp42/qxdnB21keaOziQFM35y0u1jeqhJSApTwcseFuXaDw/O9B4XxKc9L8Cop/rj/CZ+58l7L8ND57+mxHh09JTCAjOcFxGY/KJj1j2nSkzdH2nuyq7STBJRObrYZKzkz97LTrWl+bvin5Co0NEyU5qTR29o/4qkALiiXTs0MuZRJJzl1czKqKCfSnHkm6C1O58SmQbOdJRUHkq8gaQeGPd26DnU/C+f8PKk4bXe5yIed+hwqpp+Jw4P4Pde19iMC0LAcahQ9tAka1kUB+ild2NQBwzqJpug5SwbzJCYqWA/D8f8Ocs3UPZqwqpJ19Y8Lwht2KHz2zk/98aAsnzy7g0ZtODymqKjc92bFGccASFHUdfaHVv0JrFHOLMhz5TiZNqCGyIzkUQXwUk2DaSIa/9lMMDLnZ29AZN2anSZOcobX+cGkUI+U74t/0BDry6ZARFDHg0Ds6FHbRJXDqLePXz7+AXUlLOLfhLq2m+qG+o4+CjJTgvR8CCIqRXIoAN8eXdtazsDiLcqs9IkWBiwMGxD0Mj96ks8QvvU1H8qALFA4OK5qtG3t3/xBfuncDf3zjAJ85ZSZ3XX9iyPH4oVSQtXM0IHStYmdtZ3T8E6A1OnAuKOyb2wT6fjul2CtEdk99J4PDKm4c2WEhJ4yd7rptjWJqCIqKgnTaegZp741cBKERFN50NcJD1+sIpI/9Xpcf8EaEZ0u+RL67Bd7z31xGh8YG0Sbcbl2a2p9GEaSMR3vPIOsqWzl3sUd/hsIFWvgMOWh65M3bv4Uja+Gin465eXm2RK1p6+WK29/h5Z31fPcjS/j+pcc5boTkSW56Ei0OTU8Hm7ooykohKUFCEhQdfYNUt/VGxz8Bui+FK9F5iKxtLomgRjHa6U5fDzus0h3HzThKNArQ58+puS8YU06jGI18ihQxERQiki8iL4rIXuvZp8dVRIZFZJP1eCLiA3MPw8M36O5in/jrmEb13vSVnsRr7hNQa36pt/dBXbuDZLvOWt25LZhG4af5zOt7Gxl2q/GCQrlDb6JTt01n/i7+CBx/1ZhV9s3mhe11XHrbWxxp6eEvnz2Rz54+e8J27vyMZMeZ2QeaullUksXi0mw2HfF9vn1hl+5YHC2NwpWg/Q2haBSBku3CQLHXZGNbTTuZKYlU5Md3eYqQCGenu5E6T1PHRwFENPIpVhrFrcDLSqn5wMvWe1/0KqVWWI+PRnxUr/5Q1/m/+Be6cmcASnJS+cngJ5C+dnjrNz63qetwUL7DjnjK9R3jn5GSSFZKol8fxcs768nPSGZFuYesLZyvnxt9l/LwiVLw2E1aOF7yq3GalC3wfvPKPlKTXDxy82mcvXBiXeZs8hz6KJRSHGzsZnZhBivKc9la1T7GMRuIXdEo3eFNKLkUTpLtJklBRjIugQbrGtpe08Hi0ixcrvhxZE+a7DKtCYQj6a6nWWuFASaK8cTM/Mgn3cVKUFwK2D077wE+FqNxjNK4B978ua7IeULwOjqlOWnsVBW0zf0YrP0DdNaNWd83OExbz2BwjcLuiOZHowCddOfLgTs07Oa13Y18cOG00U5rAAWWoPBTysMnTXugbovugeBD5S7KSqEwM5nVFXk8dvPpLCie/I03Lz2Zjr6hoP02mroG6OwfGhEU3QPD7GtwVsp7Z10nOWlJzsqohIvcmSE4s6uc5VBMgsQEF4WZutPdsFuxszbCPShigW266wyDVtHTpLWJOIoIC0RGSiKFmclHn+kJKFZK1Vqv64BiP9ulish6EVkrIh/zdzAR+YK13frGxtATsgDtAP7MQ3DRzxxtbldU3bbwFnAPwhtj93Pc2a61Upsecsr9buKvd/aGQ6209w6ONTuBrniZMzM0h3blGv0854M+Vye4hFe/djb//OKpFISpXlJehnZ+twVxwh20Ip5mF2awvDwXwLH5aVdtB4tKsqIbBppTrk2KQw7Mah01EfVP2JTk6AZGlc3d9AwMR760eLTJCWMuRXfzlHFk28yMcLnxiAkKEXlJRLb5eFzquZ3SlfX82REqlFKrgU8BvxIRn63FlFJ3KKVWK6VWFxVNot/AvPOcJUkBpblaABwcLoKV1+m8Aw+fgK0BlDoRFNllkOi/bMFI4yAvXt7VQFKCcOZ8Hxd14Xy/VWR9UrlGO2IDlEDISk0Kq7liJDs7iPnpoFVscE5hJrMLMshOTWTTkfagx3e7FbvrOllUEkWzE1iRTyp4XL+dbJcduYgnm2lZ+hqye1AcVRFPMJqHEo7s7ClSENATu4pspIiYoFBKnaeUOs7H43GgXkRKAaznBj/HqLaeDwCvASf42i4WFGboCJya9j5dzdOVBK/+aGR9SC1Qg7T3LM5OoaGzf1wp4Zd31nPKnALf3cAKF2jTk5+2qGNQCg69pXsZR3HmPVrGI7BGcaCpm+QEFzPy0nC5hOXluY4in6rbeukeGGZRaZRviiO5FEH8FCPJdpHXKIqzUyxB0U5SgoReyjveCWenu56pqVHUtPfSPzQckePHyvT0BHCd9fo64HHvDUQkT0RSrNeFwOnAjqiNMAguq9NdXXsfZJXAKV+CrQ/qyCFCND0F8E+ANhsMuxVN3aORT5VN3exv7NZJdr4oWqBvQk5sts37oas+YIvTSGCbnlqCaRSN3VQUpI/4YVaU57K7roOeAf/Z6uDRgyImGgXBQ2Tt2W+EfRSgtdLWnkHeP9zGguIskhOPssj4kaS7MAiK7qYpE/FkU1GQjlJQ1eqsT06oxOpq+TFwvojsBc6z3iMiq0Xkz9Y2i4H1IrIZeBX4sVIqbgQFaLNSjdU1jtO/okMjt+ts7br2ftKTE8gK1CRooEffoIMIitGku1FB8dLOegBdtsMXQbrdjaHyTf0cbUHhsHnRwSYd8WSzojwXt4KtVYHNT7vqOhEhLI73kMieof1OwRzagVqghhlbs91wqPXoMzvZ5JRD7WatIU+U4UGt6U2RHAobO0Q2Ug7tmAgKpVSzUupcpdR8y0TVYi1fr5T6nPX6baXUMqXUcuv5zliMNRClOWmjTua0PJi2BKo3AlDX0UtJdpAWqA4insB30t0ruxpYUJw5mo3tjS0oGh0IikNv6aY7BfOCbxtGbEERqHnRsFtxqLmH2UVjBQXA5qq2gMffVddBRX56yB39Jk1Ckvb3BDM9jSTbRV5QTLOK/w271dEX8WSz8lrdJnb7oxM/Rk+Lfp5iGoWddHeoOTK5FEeZ/hld7N7ZI53uZqyEmo2gFHVOWqAGqBrryWhmrRYUHX2DvHewhXMW+QsWAzKKtCoeTKNQSjuyZ50R9XDAtOQEUpNctAXwUdS09TIw7B5TvrwgM4Xy/LSgfopd0Szd4Y2TENmRZLsAv2OY8LwWj1qN4sQbdc+Y5/9LNwObCFMsK9umMDOZ9OQEDrccXaano4LSnFQGhtyjNvYZq3Rp8pYD1Hf0B+9s51BQ2AlTtqB4fXcjQ27Fed5hsZ6IWA7tIIKi5YAO5Zx1euDtIkReenJAH8WBkdDYsZVfl5flsulwm9/9egeGOdjcHd1EO09yyqE9iKBor9aaRwST7WxsrVQEFkfbuR8tXAlwyS91TtNrP57YMaZY5VgbEbFCZI1GEXfY9Y9q7WS46SsBcFetp95RVvYhSM4MelEmJrgoykoZCbl9ZVcDeelJnDAzSK8JO/IpEIfe0s+zzgy8XYTISw9cxuNgow6Nne3VEGlFeS417X0j2cbe7KnvRCliq1G0V8NwAId7R3VUIp5A19VKTnAxuyAj+qa4aFK2GlZdp5NgrcCSkBgp3zG1NArQveoHhyfhnwmAERSTYLqVSzEiKIoWQVI6fYfWM+RWznIo8mY5MvnYSXdDw25e3d0wPhvbF4XzoatOazn+qFyjzVS2TyPK5GUkBdQoDjZ1k2VlnnpywsxcwH8lWbtZUcT7ZPsjtxzUsNbW/NFRHRX/BOgZ5+zCDFZOtJHVVOLc7+jyG0//h7PwcE9sjWKKmZ4AfvepE7jnhpMicmwjKCaBbVqqbbfsggmJULocqjYAOPNRBDE72dhJd+8faaOtZ5Bz/UU7eVJk9fz1p1UoBZVv6X4bMSpXoDUK/z6KA03dzC7KGBcUsHR6Doku/5Vkd9Z2kp6cQHlejArfBSs3rpSVlR0dQQHwt8+dxHc+siRqnxcz0vN1w60ja2Hz/aHta2sUaRNooBRjIll9wAiKSWAn3dV61mGasYqU5m0kMhTYR6FUSILCLsHw0s56El3CmQsczHiChci2VurImxiZncAqDBjI9OQVGmuTmpTAotKsgBrFwpIYFr7LCZJL0duq81yikENhMy0r1Xdy5tHIik9D+cnw4rdGI5mc0NOkIxij4DeaShhBMQnspLvaNo9IgxkrSRjuZ6FUBc7K7mqAod6QNIr23kGe3VrHyXPyyXbyh8+tgIRk/1Vkbf9ERWwc2QB5Gcm09Q76rAbbNzhMdVuvT0EB2k+xpap9XMa6UopddTGMeILRXh7+NIqRHIro+CiOOVwuuPjnWiC/8n3n+/U0TzlHdjQwgmKSTM9JG6tRWA7tFa794+zqY3AY8WRjm7EOt/RwbqCwWE8SEiF/rn/TU+Vb+k9RtMjZ8SJAXnqStsL4KAx4qLkHpcY7sm1WlOfR1T/E/saxlWTrO/pp6xmMnX8CIClVh736FRR2C9TI13k6ZilZBid/CdbfBdUbnO3T3TQlHdmRxgiKSVJi5VKMkDeL7oQcTkqpJDFQ17cQBYWndjKuWmwgCuf7Nz1VrtH+CVfsLoNASXeexQB9YSfeve9lftpZZ5fuiHEYaE65f9PTiKAwGkVEOfubWmA/9e+6MVkwepqnpCM70hhBMUlKc3W9p5GkOxH2Jc1nuewPvKMtKAKUF/fEbqk6b1omFQW+Z9g+KVwArQd1aYIxn39Ix/lXRLdshzd5Gf7LeNg5FLMKfTuk5xRmkJWaOM5PsatWJ1stjHaNJ28CJd21V4Mk6DphhsiRmg0f+gHUboL1fwm+/RSs8xQNjKCYJKXZqQwMu2n2CPHc4p7HzOHDMBAg+aW1ErKmaxOFA0py0khwif/aTv4oXADuofFtUUfyJ2IsKNLtwoDjTU8HG7spykrx64B1uYTlZbls9hYUdR3MyE0jJy3Gjtvcct2YyFeIZkeNFhKuhOiP61jjuMth9lnw8ve1b9AfShkfhR+MoJgkpbk66c6zA93agQpcuHWBMn+0HXJsdgLITEnkgS+cwpfPCbEeU5GfyKfKt0brU8WQ0VLjvkxP3WNKd/hiRXkuu+o66R0YNSvEpAeFL3Jn6n7oXfXj13VURTU09phGRDu2B3vgqX/zb4Lqa9O5L8b0NA4jKCaJnVRnV5HtGRji3b5ZemUgB1oIobE2q2flh55VO9IW1UtQHFqjo51i6J+AUdOTr+ZFB5u6mVMUXFAMuxXbanRS4cCQm30NXbEr3eFJoBDZKHW2M1gUzocLvg+7noIn/9W3ltdtl+8wgsIbIygmSalVxsOu7FrX3kcTOfSklY5Ukh3HYJ++UYQoKCZESqaeuXpWkW2v0oIqhmGxNhnJCSQnuMY1L2rvGaS5e8BvxJPNSGtUq+7T/sYuhtwq9o5s8J90p5T2UeSYiKeocspNcNY34P17deFA73LkIwUBjenJG5NVMkkKMpJ1p7s2S1BYAqOnaAXp/jSK9iOAio6ggPGRT5W2fyL2gkJEyE1PGqdRHGz2XQzQm6KsFGbkprHJKjm+ayTiKQ40ipFOd16CordV59AYjSL6nP1N6O+CtbfpSdQ5/zO6bgrXeYo0RqOYJC6XUJKTSp1VxsOu8CozVmo/hK3OehJiaOykKVyocynsGdShNboWTvFx0fn8IORnjM/OtkNjg2kUACtmjlaS3VXbqYvfOdgv4iRnaMeot6CIYsMigxciOgpq5bXwxs9gza9G103RyrHRwAiKMFCanaZ7ZzNaIDB9tlWcq8aH+SnqgmI+DHTq8sug8ydmnhY3ETe56Unj6j0dbOzGJboXcDBWlOVS3dZLY2c/O+s6mV+cGTiHJZr4yqUYyaEwgiImiMAlv4LjroCXvgPv/Ukvn6K9KKJBnPybpjZ2LgVAfXsfWSmJpFWsAsS3n6K1EhLTIDOExLnJMFLzabeezbYciHlYrCf5GcnjEu4ONHVTnp/uqLfzCquS7OYjbeyq7YgP/4RNbrkPjSJ6vbINfnAlwGW3w8KL4Jmvwab7tfaflAFJabEeXdxhBEUY0KanPtxuRV1HH8U5qZCSpau3+vJTtFZCXkX0KrZ6VpGNI/+ETa6PnhT+igH64rjpOSS4hFd2N9DQ2R/b0h3e5FbolqiejlM72S4Kne0MAUhIgivu0jkWj98Me541jmw/GEERBqbnpDEw7KalZ4C6jv7RPhQzVmlB4R1dMYHQ2EmRWQwp2dqhfWiNfl1yfPQ+Pwh56Um09gyOZLcrpUISFGnJCSwqyeKJTdr2H1caRU65dlzbjlKwku1K48b0d0yTlApX/x3KTtSatvFP+MQIijAw0peirY96z17Z00/Qdk9PG3WI5cXDgsho5FPlWzDz1Li6SeWlJzPsVnT06W5wDZ399AwMB02282R5eS5d/Xr/uMihsLFDZD3bonZUmYineCIlEz71T5ixWveTMYwjJoJCRK4Uke0i4haR1QG2u1BEdovIPhG5NZpjDIXpVi5FVWsPjV39owX8ZqzSz57mp54WGOiKrqAA7aeo3gjNe+PK7AQe2dlWiOyBRmehsZ7YBQILM1MozEwJ7wAnw0iIrMdkoaPG+CfijbRcuPFF7eQ2jCNWGsU24OPAG/42EJEE4Dbgw8AS4JMiEpftuWyNYmt1O8NupX0UoMNPE5LHOrSjHfFkU7gA+nWOQTw5skE7s2G0jMcBOzQ2SFa2JydYgiKu/BMwWvTRdmjbyXYm4in+cLli1ukx3olJwp1SaicEbd13ErBPKXXA2vYfwKXAjogPMEQKMpJJTnDxvhXLP6JRJCbrmvhjBMVB/RwLQQGQnAUl8aVe51qFAW1BcbCxm5REF6XBWsl6MLcok5LsVFbFW0/otFxIyRk1P5pkO8MUJJ4zs2cAngHoVcDJvjYUkS8AXwCYOXNm5EfmhcslFOeksMXKDh7T2W76Stj0d12IzJUwqlHkVkR3kLagmHly3LV5HNEorAqytiM7lDamLpfw4r9/gNSk+PG9jOBZbtzkUBimIBEzPYnISyKyzcfj0nB/llLqDqXUaqXU6qKionAf3hGlOWl0WxVMi3M8bOQzVsFg92gJjdZKHYWUHDyRLKzkz9aRNos/Et3PdUCuVwVZJ8UAfZGVmkRSvCTaeZJbPuqjMFnZhilIxKaWSqnzJnmIasCzq0+ZtSwusUNiE11CYYanoNCtUaneANMWa0ERbW0CdMz4v++M/uc6IDs1kQSX0NozwOCwm8MtPXx42VHU0CenHA6+afknqqxlRlAYpg5xOP0aYR0wX0Rmi0gycDXwRIzH5Be7imxxdupYk0nBfO0XsP0UraH1oQgrInHprBMR8tKTaOkepKq1lyG3CiniKe7JnalLqPS1aY3CJNsZphixCo+9TESqgFOBp0XkeWv5dBF5BkApNQTcAjwP7AT+qZTaHovxOsHWKIqzvUIzXS6YvkJrFEMDOoY+VoIijsmzsrNDKQY4ZfCsIttRbZLtDFOOWEU9PQo86mN5DXCRx/tngGeiOLQJYwsKO1R2DDNWwTu3Qct+UG4jKHyQl64ryNo5FKEk28U9I30pjmhBYSKeDFOMeDY9TSk8TU/jmLEK3IOw8yn93giKceieFIMcbOomNz1ppPPdUUGORwOj9mrjnzBMOYygCBMz8tJwCZTn+Yhmsh3a2x7Wz0ZQjMPuSRFKjacpQ3q+rkrafsRqgWoEhWFqEV8B9VOY/IxkHvjiqSyd7qMgXfYM7bxs3KkztbNKoz/AOCfXw/R02ryjrDCbiPZT1G62ku2MoDBMLYxGEUZOnJVPerIP2SuiE+9Ah8a6zGn3Jj8jicFhXab9qPJP2OTOHK35ZXwUhimGuWNFC7tAYF4MciimAHbSHYRWDHDKkFMOQ33W67LYjsVgCBEjKKLFjBP0s/FP+CR/jKA4SjUKG6NRGKYYRlBEi+krISldV5Q1jCMvI2nk9azCKJc3iQZ2LoVJtjNMQYwzO1qk58O/bjIdtPxg96QozUn17eeZ6tghsibZzjAFOQr/kXFMlplJ+sMWFEel2QlGTU8mh8IwBTGmJ0NckJ2WhEuOYkGRUQQJKcY/YZiSGI3CEBckuISfXbGcFTNzYz2UyOBywZn/ofuoGwxTDCMoDHHD5auO8rDRs78R6xEYDBPCmJ4MBoPBEBAjKAwGg8EQECMoDAaDwRAQIygMBoPBEBAjKAwGg8EQECMoDAaDwRAQIygMBoPBEBAjKAwGg8EQEFFKxXoMYUVEGoFDkzhEIdAUpuFEAjO+yWHGNznM+CZHPI+vQilV5GvFUScoJouIrFdKrY71OPxhxjc5zPgmhxnf5Ij38fnDmJ4MBoPBEBAjKAwGg8EQECMoxnNHrAcQBDO+yWHGNznM+CZHvI/PJ8ZHYTAYDIaAGI3CYDAYDAExgsJgMBgMATnqBYWI/EVEGkRkm8ey5SLyjohsFZEnRSTbWp4kIvdYy3eKyDc99rlQRHaLyD4RuTUOx1dpLd8kIutjNL5kEbnLWr5ZRM722GeVtXyfiPxGRCTOxvea9ftush7TwjS+chF5VUR2iMh2EfmKtTxfRF4Ukb3Wc561XKzzs09EtojISo9jXWdtv1dErovD8Q17nL8nYjS+RdZv3y8iX/M6Vtj/w2EeX0T+w2FBKXVUP4APACuBbR7L1gFnWa9vAL5vvf4U8A/rdTpQCcwCEoD9wBwgGdgMLImX8VnvK4HCGJ+/fwHusl5PAzYALuv9e8ApgADPAh+Os/G9BqyOwPkrBVZar7OAPcAS4KfArdbyW4GfWK8vss6PWOfrXWt5PnDAes6zXufFy/isdV1xcP6mAScCPwC+5nGciPyHwzU+a10lEfgPh+Nx1GsUSqk3gBavxQuAN6zXLwKX25sDGSKSCKQBA0AHcBKwTyl1QCk1APwDuDSOxhcxQhzfEuAVa78GoA1YLSKlQLZSaq3S/4i/Ah+Ll/GFYxwBxlerlNpove4EdgIz0NfPPdZm9zB6Pi4F/qo0a4Fc6/x9CHhRKdWilGq1vteFcTS+iBDq+JRSDUqpdcCg16Ei8h8O4/jimqNeUPhhO6MXyZVAufX6IaAbqAUOA/+nlGpB//BHPPavspbFy/hAC5EXRGSDiHwhgmMLNL7NwEdFJFFEZgOrrHUz0OfMJlbnz9/4bO6y1P5vhcs05omIzAJOAN4FipVStdaqOqDYeu3vWov4NTjJ8QGkish6EVkrIh8L59hCGJ8/4uX8BSKa/+GQOFYFxQ3AzSKyAa0uDljLTwKGgenAbOA/RGTOFBnfGUqplcCHgX8RkQ/EYHx/Qf8B1wO/At62xhttJjK+TyullgFnWo9rwjkgEckEHga+qpQaowVaWlZM49TDNL4KpctTfAr4lYjMjbPxRYwwjS+a/+GQOCYFhVJql1LqAqXUKuB+tO0S9AX+nFJq0DJNvIU2TVQzduZZZi2Ll/GhlKq2nhuAR9FCJarjU0oNKaX+TSm1Qil1KZCLttlWo8+ZTUzOX4DxeZ6/TuDvhPH8iUgS+iZyn1LqEWtxvW2ysZ4brOX+rrWIXYNhGp/nOTyA9vmcEIPx+SNezp9fovkfDpVjUlCIFdEiIi7gf4DbrVWHgXOsdRloZ90utHN0vojMFpFk4GogLFEd4RifiGSISJbH8guAbd7HjfT4RCTd+nxE5HxgSCm1w1LBO0TkFMukcy3weLyMzzJFFVrLk4BLCNP5s77vncBOpdQvPFY9AdiRS9cxej6eAK61ootOAdqt8/c8cIGI5FkRNBdYy+JifNa4UqxjFgKnAztiMD5/ROQ/HK7xRfs/HDLh9IzH4wM9o6xFO4+qgBuBr6BnknuAHzOaoZ4JPIi2ce8Avu5xnIus7fcD/x1P40NHcmy2HttjOL5ZwG60Q+8ltCnCPs5q9IW/H/idvU88jA/IQEdAbbHO36+BhDCN7wy02WELsMl6XAQUAC8De62x5FvbC3CbdZ624hGJhTap7bMe18fT+IDTrPebrecbYzS+Eus66EAHK1ShAykgAv/hcI2PCP6Hw/EwJTwMBoPBEJBj0vRkMBgMBucYQWEwGAyGgBhBYTAYDIaAGEFhMBgMhoAYQWEwGAyGgBhBYTAYDIaAGEFhMEwQEZklHuXNDYajFSMoDIYYYVUBPuo+y3D0YQSF4ZhFRB6zKnVut6t1ikiXiPxAdGOjtSJSbC0vFpFHreWbReQ06zAJIvIn6xgviEiatf0Ka/8t1n5245rXRORXohvTfMXHmLJE5KBVSgQRybbfi8hcEXnOGvObIrLI2uYjIvKuiLwvIi95jPm7IvI3EXkL+FuET6fhKMYICsOxzA1KFw5cDfyriBSgy3msVUotR/e0+Ly17W+A163lK9FlFgDmA7cppZaiSzLYvS/+CnxDKXU8uqTFdzw+N1kptVop9XPvASldlPA14GJr0dXAI0qpQeAO4MvWmL8G/N7aZg1wilLqBHSfhf/0OOQS4Dyl1CdDOjMGgwdGHTUcy/yriFxmvS5H3/QHgKesZRuA863X56CLGaKUGgbaLS3hoFJqk8f2s0QkB8hVSr1uLb8HXaPL5oEg4/oz+mb/GHA98HnRZaxPAx6U0VYZKdZzGfCAVaU0GTjocawnlFK9QT7PYAiIERSGYxLR/bLPA05VSvWIyGtAKjCoRgugDRP8P9Lv8XoY3XkwGN2BViql3rIc5WejixNuE933u00ptcLHLr8FfqGUesLa57tOP8tgcIIxPRmOVXKAVktILEKXbA/Ey8BNACKSYGkNPlFKtQOtInKmtega4HV/2/vhr+i+GHdZx+wADorIldYYRESWe3wXu7fCdd4HMhgmixEUhmOV54BEEdmJLkW+Nsj2XwE+KCJb0SamJUG2vw74mYhsAVYA3wtxfPcBeegy6jafBm4UEbsUtd3u9btok9QGoCnEzzEYgmLKjBsMcYiIXAFcqpQKa0tWg2EiGB+FwRBniMhv0X2TL4r1WAwGMILCYIgZIvLfwJVeix9USn05FuMxGPxhTE8Gg8FgCIhxZhsMBoMhIEZQGAwGgyEgRlAYDAaDISBGUBgMBoMhIP8fIlosi9bO2wQAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 432x288 with 1 Axes>"
       ]
@@ -620,7 +625,7 @@
  ],
  "metadata": {
   "kernelspec": {
-   "display_name": "Python 3.10.5 ('ai4s2s')",
+   "display_name": "Python 3.8.5 ('base')",
    "language": "python",
    "name": "python3"
   },
@@ -634,12 +639,12 @@
    "name": "python",
    "nbconvert_exporter": "python",
    "pygments_lexer": "ipython3",
-   "version": "3.10.5"
+   "version": "3.8.5"
   },
   "orig_nbformat": 4,
   "vscode": {
    "interpreter": {
-    "hash": "a87ac8a6238ac8fffcd070769ea0ffc634a0ba702c52b706c3554dda7777b3fd"
+    "hash": "e7604e8ec5f09e490e10161e37a4725039efd3ab703d81b1b8a1e00d6741866c"
    }
   }
  },
diff --git a/s2spy/rgdr/rgdr.py b/s2spy/rgdr/rgdr.py
index 00edd9b..2733c03 100644
--- a/s2spy/rgdr/rgdr.py
+++ b/s2spy/rgdr/rgdr.py
@@ -1,4 +1,5 @@
 """Response Guided Dimensionality Reduction."""
+import warnings
 from typing import List
 from typing import Optional
 from typing import Tuple
@@ -112,13 +113,12 @@ def assert_clusters_present(data: xr.DataArray) -> None:
 
         if np.any(n_clusters == 1):  # A single cluster is the '0' (leftovers) cluster.
             empty_lags = data["i_interval"].values[n_clusters == 1]
-            raise ValueError(
+            warnings.warn(
                 f"No significant clusters found in lag(s): i_interval={empty_lags}."
-                "Please remove these intervals from the model before continuing."
             )
 
     elif np.unique(data.cluster_labels).size == 1:
-        raise ValueError("No significant clusters found in the input DataArray")
+        warnings.warn("No significant clusters found in the input DataArray")
 
 
 def _get_dbscan_clusters(
@@ -534,12 +534,16 @@ def transform(self, data: xr.DataArray) -> xr.DataArray:
 
         # Add the geographical centers for later alignment between, e.g., splits
         reduced_data = utils.geographical_cluster_center(data, reduced_data)
+        # Include explanations about geographical centers as attributes
+        reduced_data.attrs['data'] = "Clustered data with Response Guided Dimensionality Reduction."
+        reduced_data.attrs['coordinates'] = "Latitudes and longitudes are geographical centers associated with clusters."
 
         # Remove the '0' cluster
         reduced_data = reduced_data.where(reduced_data["cluster_labels"] != "0").dropna(
             dim="cluster_labels"
         )
-        return reduced_data
+
+        return reduced_data.transpose(..., "cluster_labels")
 
     def fit_transform(self, precursor: xr.DataArray, timeseries: xr.DataArray):
         """Fits RGDR clusters to precursor data, and applies RGDR on the input data.