diff --git a/docs/notebooks/negative_binomial.ipynb b/docs/notebooks/negative_binomial.ipynb
index a7e00b70..0fb0d03c 100644
--- a/docs/notebooks/negative_binomial.ipynb
+++ b/docs/notebooks/negative_binomial.ipynb
@@ -18,28 +18,28 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "I always experience some kind of confusion when looking at the negative binomial distribution after a while of not working with it. There are so many different definitions that I usually need to read everything more than once. The definition I've first learned, and the one I like the most, says as follows: The negative binomial distribution is the distribution of a random variable that is defined as the number of independent Bernoulli trials until the k-th \"success\". In short, we repeat a Bernoulli experiment until we observe k  successes and record the number of trials it required.\n",
+    "The negative binomial distribution is flexible with multiple possible formulations. For example, it can model the number of *trials* or *failures* in a sequence of independent Bernoulli trials with probability of success (or failure) $p$ until the $k$-th \"success\". If we want to model the number of trials until the $k$-th success, the probability mass function (pmf) results:\n",
     "\n",
     "$$\n",
-    "Y \\sim \\text{NB}(k, p)\n",
+    "p(y | k, p)= \\binom{y - 1}{y-k}(1 -p)^{y - k}p^k\n",
     "$$\n",
     "\n",
-    "where $0 \\le p \\le 1$ is the probability of success in each Bernoulli trial, $k > 0$, usually integer, and $y \\in \\{k, k + 1, \\cdots\\}$\n",
+    "where $0 \\le p \\le 1$ is the probability of success in each Bernoulli trial, $k > 0$, usually integer, $y \\in \\{k, k + 1, \\cdots\\}$ and $Y$ is the number of trials until the $k$-th success.\n",
     "\n",
-    "The probability mass function (pmf) is \n",
+    "In this case, since we are modeling the number of *trials* until the $k$-th success, $y$ starts at $k$ and can be any integer greater than or equal to $k$. If instead we want to model the number of *failures* until the $k$-th success, we can use the same definition but $Y$ represents failures and starts at $0$ and there's a slightly different pmf:\n",
     "\n",
     "$$\n",
-    "p(y | k, p)= \\binom{y - 1}{y-k}(1 -p)^{y - k}p^k\n",
+    "p(y | k, p)= \\binom{y + k - 1}{k-1}(1 -p)^{y}p^k\n",
     "$$\n",
     "\n",
-    "If you, like me, find it hard to remember whether $y$ starts at $0$, $1$, or $k$, try to think twice about the definition of the variable. But how? First, recall we aim to have $k$ successes. And success is one of the two possible outcomes of a trial, so the number of trials can never be smaller than the number of successes. Thus, we can be confident to say that $y \\ge k$."
+    "In this case, $y$ starts at $0$ and can be any integer greater than or equal to $0$. When modeling failures, $y$ starts at 0, when modeling trials, $y$ starts at $k$."
    ]
   },
   {
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "But this is not the only way of defining the negative binomial distribution, there are plenty of options! One of the most interesting, and the one you see in [PyMC3](https://docs.pymc.io/api/distributions/discrete.html#pymc3.distributions.discrete.NegativeBinomial), the library we use in Bambi for the backend, is as a continuous mixture. The negative binomial distribution describes a Poisson random variable whose rate is also a random variable (not a fixed constant!) following a gamma distribution. Or in other words, conditional on a gamma-distributed variable $\\mu$, the variable $Y$ has a Poisson distribution with mean $\\mu$.\n",
+    "These are not the only ways of defining the negative binomial distribution, there are plenty of options! One of the most interesting, and the one you see in [PyMC](https://www.pymc.io/projects/docs/en/stable/api/distributions/generated/pymc.NegativeBinomial.html), the library we use in Bambi for the backend, is as a continuous mixture. The negative binomial distribution describes a Poisson random variable whose rate is also a random variable (not a fixed constant!) following a gamma distribution. Or in other words, conditional on a gamma-distributed variable $\\mu$, the variable $Y$ has a Poisson distribution with mean $\\mu$.\n",
     "\n",
     "Under this alternative definition, the pmf is\n",
     "\n",
@@ -88,7 +88,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "In SciPy, the definition of the negative binomial distribution differs a little from the one in our introduction. They define $Y$ = Number of failures until k successes and then $y$ starts at 0. In the following plot, we have  the probability of observing $y$ failures before we see $k=3$ successes. "
+    "SciPy uses the number of *failures* until $k$ successes definition, therefore $y$ starts at 0. In the following plot, we have  the probability of observing $y$ failures before we see $k=3$ successes. "
    ]
   },
   {
@@ -110,7 +110,7 @@
    "outputs": [
     {
      "data": {
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p06ezbPPBBx9UzZo1M21/4oknVLRoUcXHx1vuSijJMhuiW7duWbbXrFkzubu7a9euXVmu+dWpU6dcvcZbtmyRpCzXPHNxcbFsNx9XUC5cuKD58+dr1KhRGjBggJ566ik99dRTWrBggSTp4MGDBdqfrGT3nG/cuFGS1LZt2yxnYxUrVkyNGzeWyWSyBLolS5aUh4eHYmNjnWJs7du3z/JS2Fq1aknK/ufeEY4cOaJevXopPj5ezz//fLaX+uakfPnyunTpUr7+nJ88eVJHjx6Vu7u7+vfvb9NjfvjhB0nS4MGDM4W/WdmwYYMkqUuXLnJzy3yxR9myZVW7dm1duXLF8sWEOTT6448/9Ndff93yHObjN27cmOP6g2a3+ttWvXp1+fn56fTp05a1wcyXTP7222+6ePHiLc8BALgzcBkjAECNGzfWN998o7JlyxbYOj95ZcCAAVqwYIFiYmK0bds2hYSE5Nu5SpYsmWUgYb5j5c2zcrLaf+XKlSz3V61aNcvtnp6eKl++vGJjYxUbG6tq1arp8uXLlhk+r776ao79vXbtmi5evGg1Y0NSrl7jS5cu6cKFCzk+3nyJZlaLYOeX6OhojRw5MsuFus2SkpIKrD/Zye45O3z4sKQbYcCuXbuyPMYcKpw7d06SVKRIEfXt21efffaZunTpouDgYDVs2FD169dXvXr1VLRo0XwYQfayu0TUvMZYdj/3BS0+Pl59+vRRUlKSXnnlFctNLuzVv39/TZw4UYMGDVLNmjXVpEkT1atXTw0aNMizy0fNNxgICAiwqc2UlBTLz4et64WZb0zy5ZdfavXq1VkeY/5d/vvvvyVJ5cqVU9u2bfX999+rTZs2atiwoUJCQlSvXj098MADmUKzrl276rPPPtPKlSu1efNmNWvWTPXq1VOjRo2y/Htp/n2YNm2aZs6cmWWfEhMTJd34fbjnnnv04IMPqm7duvrjjz/UsmVLNWnSRA0aNFCDBg1Us2ZNm4I/AIDxEHYBAAo1Ly8vDRw4UFOnTlVERIS++OKLfDvXzZeg3cz8YepW+2++FPFmNy88ntW+2NhYyzpAN9+Zb+fOnbfsc1ZrcWXXz5zcHFhk119zqJZXaxbdyqVLl/Tiiy8qOTlZnTt3Vq9evVSlShV5eXnJ1dVVv/76qwYOHGjTjJL8lt1zbg7pTp48abkcKzs33ylw9OjRKleunKKiorRjxw7LrC8vLy/16tVL4eHhVpe35qfsxmaeyZbdz31Bu3jxoi5fviwPDw8FBgbmup3evXurePHimjdvnvbt26d9+/Zp9uzZKlq0qB5//HGNGTNG3t7et9VX8++5re3c/Dtn62PM5zAHTDm5+e/IlClTFBAQoGXLllluBCHdCPWHDBmigQMHWl77cuXKacmSJZo2bZo2bdqkVatWadWqVZJuhHJjx461urmIuU/79u2zuU+urq6aPXu2pk+frm+++UY//PCDZZabn5+fwsLC1LVr11u2BwAwFsIuAECeKOgF6m/Wt29fff7559q+fbt+++23bI+7Veh09erV2+5LbphnTGUlISFB0o311SRZXS62d+9em+4elxduPm9CQoLKli2b6Zh//vlH0v/1Nb9t3rxZSUlJevDBB/XOO+9kmsFx5syZPD9ndj87uZ29ZH5eJ02alO2lW1lxdXVV//791b9/f8XFxWnHjh3avHmz1q9fr08//VSXL1/Wa6+9Zldf8npszqZmzZp65JFHNHnyZD333HOaPXu26tevn6u2OnfurM6dO+v8+fPavn27tmzZojVr1mjp0qU6f/58lrOS7Hl+zb9DOc1YzOp482NsCbzMP3vz5s1TkyZNbDqPdGNtrvDwcIWHh+vYsWPasWOHfvrpJ/3888+aMmWKpBuXUppVq1ZNERERSk1N1a5du7R9+3Z999132r17twYNGqRvv/3Wsl6hp6enLl26pPXr19t851bpxvp2r7zyisaNG6eDBw9q+/bt2rhxo2JiYvTyyy/L09NTbdu2tbk9AEDhx5pdAIA84YgF6s28vLwsH65yCs/MM1CyC5duNbMmv5gvWfqvq1evWgKbypUrS7oxa8McNB09erRA+ifdWB/NfDlmdv0198fc1/xmvpzzgQceyPJSpbxcz8ocDJgvofqv3K5LZb7005bZNdm599571blzZ3344Yf65JNPJN1Y6PvmO+/lxDy27H4vTp06leu+ZcWRl5X169dP//vf/3TlyhU988wz+uOPP26rvTJlyqhdu3aaPHmyli1bJldXV/3000+Wy/6k3D2/9913n6Qbv1M3z+bMjpeXl2Xtqt27d9vUd/Oltbfzs1etWjX16NFDM2fO1IQJEyRJS5cuzfJYDw8PNWzYUGFhYVq9erWCg4N15coVfffdd5n6dOTIkVz1x8XFRffff7/69eunBQsW6JlnnpF0466QAIA7C2EXACBPOGKB+pv16dNHJUuW1M6dO7NdONq8Rszp06ezDC2WL1+eZ/2xx65du3TgwIFM21esWKFr167Jz8/Pal0v890d58+fX2B9lKTQ0FBJ0sKFCzPtM5lMlktIzcflN/PaVOYZZTdLTEzM09fTPPPkzz//zLRv3bp1uV4XzHxDg2+++SbbIM0e5vWa/v33X5v7ZP69yGpsf/75Z54vgm9+3bK6xLYgDBkyRCNGjNDly5c1ZMgQmy6Zs0VAQIBlRtXNYVdunt+KFSsqMDBQaWlpWf6+ZcX8s3TznQpzYv47smTJEqtLZHPL/LN389izU6RIEdWuXTvT8eY+LViwIE8uf61bt67NfQIAGAthFwDAEDw9PS2zu7JbbLlEiRKqU6eOUlNT9c477ygtLU2SdP36dX366aeWtWcKmpubm8aOHWuZqSRJO3bssMxSGzRokNVsmKefflolSpTQqlWr9Pbbb+vSpUtW7V28eFHLly/XjBkz8rSfgwYNkpubm3744QfNnTvXMnMoNTVVkydP1uHDh+Xt7Z2rS1pzw3wJ2vfff69ff/3Vsv3vv//W888/r+vXr+fZuZo3by5JmjNnjtUC/Hv27NGkSZNyfTlp7dq19dhjj+nixYsaNGiQ9u/fb7X/+vXriomJ0ahRo5Samirpxmyf1157TXv27LEKBFJTUy0zu/z8/OTr62tTH5o1aybpxuyXPXv2WLbHxsZq7NixWd6p73aYw5/s7hZaEIYNG6bnnntOly5d0qBBgyyLtd9KSkqKXnjhBcXExFjNnLt+/boWLFigpKQkeXp6qkqVKpZ9uX1+R4wYIUmaPn26FixYYPl7Jd2Y9bls2TKrWZaDBw+Wt7e3tmzZonHjxlmFnRkZGfr555/1008/WbY98sgjeuCBB3T8+HENHTo008zW1NRUbdq0SS+//LJl22+//aZ3330306zSy5cva86cOZJkdWfZjz76SMuWLcv0N+rw4cNau3atJKlGjRqW7T169JC/v79iYmI0evToTCHV5cuXtWbNGr399tuWbd98840+/vhjxcXFWR2bmJhoCQpvPgcA4M7Aml0AAMPo3bu35s2bl+VMH7PRo0dr0KBB+uqrr/Tjjz+qYsWKiouLU0pKil5++WW9+eabBdjjG3r06KEff/xRbdq00X333ad///1XJ06ckCQ99NBD6tWrl9Xx99xzj2bMmKHhw4fr888/16JFi1SlShUVK1ZMFy5cUFxcnEwmk9q1a5en/bz//vv1yiuvaOLEiXr33Xf12WefqXz58jp58qQuXbokDw8Pvf/++ypTpkyenjc7tWrV0qOPPqp169Zp4MCBqlSpkjw9PXXkyBEVLVpUo0aN0ltvvZUn53riiScUFRWlI0eOqH379qpatapSU1MVGxur9u3b6/z589q2bVuu2p48ebIuXbqkLVu2qEuXLqpQoYLKlCmjq1ev6tSpU5YZUOaxpKWlacmSJVqyZInuvvtu+fv7y2Qy6fTp00pOTpa7u7vlkjJbNG/eXE2aNNGvv/6qHj16qFKlSnJ3d9fRo0dVr149Va9ePdsAOTdCQ0Pl4+Oj33//XS1btpS/v7/c3NzUrFkzy2VnBWHkyJFKTU3VZ599poEDB2rhwoW3vFNpRkaG1qxZozVr1sjT01MVK1aUm5ub4uPjlZiYKBcXF40bN85qDa3cPr+tW7fWqFGj9OGHH2ry5MmKiIhQpUqVlJKSovj4eKWlpWnBggWWPleoUEEREREKCwvTihUr9M0336hatWrKyMhQXFycrly5orCwMD300EOSbqz7FhkZqWeffVa//vqr2rRpo0qVKqlEiRK6fPmyTp48qbS0NKu7uV6+fFlz587V3LlzVbJkSVWoUEHp6ek6efKkrl69Km9vb6tw7MiRI5o5c6Zee+01+fv7y8fHR0lJSZZgrWHDhnr88cctxxcvXlyzZs3SM888o9WrV2vNmjWWm04kJSXp9OnTun79umXGlnTj8tCIiAhFRESoXLlyKlu2rK5du6YTJ04oLS1N5cqVswSHAIA7BzO7AACGUaxYMT399NM5HtOwYUPNmTNH9erVU1pammJjY1WzZk0tWLBALVu2LJiO/oevr6+WLVumxx9/XP/884/i4uJUpUoVjR49WtOnT7fc2exm9erV05o1azR06FBVq1ZNcXFxOnTokFxdXdWsWTNNmDBBr7zySp73tVevXlq0aJFat26tjIwMHTx4UHfddZc6deqkVatWFfhz+P7772vYsGHy8/PTX3/9pX/++UePPvqoli9frurVq+fZeYoWLar58+frySeflI+Pj2JjY+Xq6qqXXnpJ77///m21Xbx4cc2ZM0fvv/++QkNDdfXqVe3fv1+JiYkKCgrS008/rWXLllku/6tUqZImTZqktm3bqmTJkjpx4oRiY2NVrlw59ezZU2vWrFGLFi1sPr+Li4umT5+ugQMHqmzZspZg5JlnntHcuXPz/CYIXl5e+uyzz9S8eXOlpaVp9+7d2rZtm44fP56n57HFmDFj1K9fPyUkJKh///5Ws/ayUrx4cU2ZMkWPP/647rnnHsX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       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -163,7 +163,7 @@
    "cell_type": "markdown",
    "metadata": {},
    "source": [
-    "Finally, if one wants to show this probability mass function as if we are following the first definition of negative binomial distribution we introduced, we just need to shift the whole thing to the right by adding $k$ to the $y$ values."
+    "To change the definition to the number of *trials* until $k$ successes, we just need to shift the whole thing to the right by adding $k$ to the $y$ values."
    ]
   },
   {
@@ -173,7 +173,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
       "text/plain": [
        "<Figure size 1200x400 with 2 Axes>"
       ]
@@ -226,7 +226,7 @@
     "\n",
     "School administrators study the attendance behavior of high school juniors at two schools.  Predictors of the **number of days of absence** include the **type of program** in which the student is enrolled and a **standardized test in math**. We have attendance data on 314 high school juniors.\n",
     "\n",
-    "The variables of insterest in the dataset are\n",
+    "The variables of interest in the dataset are\n",
     "\n",
     "* daysabs: The number of days of absence. It is our response variable.\n",
     "* progr: The type of program. Can be one of 'General', 'Academic', or 'Vocational'.\n",
@@ -487,7 +487,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x600 with 6 Axes>"
       ]
@@ -551,7 +551,7 @@
     "\n",
     "But then, why negative binomial? Can't we just use a Poisson likelihood?\n",
     "\n",
-    "Yes, we can. However, using a Poisson likelihood implies that the mean is equal to the variance, and that is usually an unrealistic assumption. If it turns out the variance is either substantially smaller or greater than the mean, the Poisson regression model results in a poor fit. Alternatively, if we use a negative binomial likelihood, the variance is not forced to be equal to the mean, and there's more flexibility to handle a given dataset, and consequently, the fit tends to better."
+    "Yes, we can. However, using a Poisson likelihood implies that the mean is equal to the variance, and that is usually an unrealistic assumption. If it turns out the variance is either substantially smaller or greater than the mean, the Poisson regression model results in a poor fit. Alternatively, if we use a negative binomial likelihood, the variance is not forced to be equal to the mean, and there's more flexibility to handle a given dataset, and consequently, the fit tends to be better."
    ]
   },
   {
@@ -608,7 +608,7 @@
     "\\log(\\mathbb{E}[Y_i]) = \\beta_3 + \\beta_4 \\text{Math\\_std}_i\n",
     "$$\n",
     "\n",
-    "And one last thing to note is we've decided not to inclide an intercept term, that's why you don't see any $\\beta_0$ above. This choice allows us to represent the effect of each program directly with $\\beta_1$, $\\beta_2$, and $\\beta_3$."
+    "And one last thing to note is we've decided not to include an intercept term, that's why you don't see any $\\beta_0$ above. This choice allows us to represent the effect of each program directly with $\\beta_1$, $\\beta_2$, and $\\beta_3$."
    ]
   },
   {
@@ -631,16 +631,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (2 chains in 2 jobs)\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [alpha, prog, scale(math)]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "da92930f19f1410eadcc61e357d9669b",
+       "model_id": "1267bec653e942c99de6e253c8fa8948",
        "version_major": 2,
        "version_minor": 0
       },
@@ -661,25 +660,11 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 3 seconds.\n",
-      "We recommend running at least 4 chains for robust computation of convergence diagnostics\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 1 seconds.\n"
      ]
     }
    ],
@@ -706,16 +691,15 @@
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Auto-assigning NUTS sampler...\n",
       "Initializing NUTS using jitter+adapt_diag...\n",
-      "Multiprocess sampling (2 chains in 2 jobs)\n",
+      "Multiprocess sampling (4 chains in 4 jobs)\n",
       "NUTS: [alpha, prog, scale(math), prog:scale(math)]\n"
      ]
     },
     {
      "data": {
       "application/vnd.jupyter.widget-view+json": {
-       "model_id": "94d81704090d476cadec4f42e8ceb1f0",
+       "model_id": "17c2e4695b57425aa79516e42c0fcc4c",
        "version_major": 2,
        "version_minor": 0
       },
@@ -736,25 +720,11 @@
      "metadata": {},
      "output_type": "display_data"
     },
-    {
-     "data": {
-      "text/html": [
-       "<pre style=\"white-space:pre;overflow-x:auto;line-height:normal;font-family:Menlo,'DejaVu Sans Mono',consolas,'Courier New',monospace\">\n",
-       "</pre>\n"
-      ],
-      "text/plain": [
-       "\n"
-      ]
-     },
-     "metadata": {},
-     "output_type": "display_data"
-    },
     {
      "name": "stderr",
      "output_type": "stream",
      "text": [
-      "Sampling 2 chains for 1_000 tune and 1_000 draw iterations (2_000 + 2_000 draws total) took 3 seconds.\n",
-      "We recommend running at least 4 chains for robust computation of convergence diagnostics\n"
+      "Sampling 4 chains for 1_000 tune and 1_000 draw iterations (4_000 + 4_000 draws total) took 2 seconds.\n"
      ]
     }
    ],
@@ -817,62 +787,62 @@
        "  <tbody>\n",
        "    <tr>\n",
        "      <th>alpha</th>\n",
-       "      <td>1.019</td>\n",
-       "      <td>0.105</td>\n",
-       "      <td>0.842</td>\n",
-       "      <td>1.234</td>\n",
+       "      <td>1.020</td>\n",
+       "      <td>0.104</td>\n",
+       "      <td>0.819</td>\n",
+       "      <td>1.211</td>\n",
        "      <td>0.002</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2575.0</td>\n",
-       "      <td>1621.0</td>\n",
+       "      <td>4558.0</td>\n",
+       "      <td>3393.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog[Academic]</th>\n",
-       "      <td>1.889</td>\n",
-       "      <td>0.088</td>\n",
-       "      <td>1.719</td>\n",
-       "      <td>2.045</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>1.888</td>\n",
+       "      <td>0.083</td>\n",
+       "      <td>1.737</td>\n",
+       "      <td>2.044</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2702.0</td>\n",
-       "      <td>1253.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>5597.0</td>\n",
+       "      <td>3513.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog[General]</th>\n",
-       "      <td>2.337</td>\n",
+       "      <td>2.340</td>\n",
        "      <td>0.165</td>\n",
        "      <td>2.028</td>\n",
-       "      <td>2.643</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>2.651</td>\n",
+       "      <td>0.002</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>2429.0</td>\n",
-       "      <td>1531.0</td>\n",
+       "      <td>6092.0</td>\n",
+       "      <td>3322.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog[Vocational]</th>\n",
-       "      <td>1.047</td>\n",
+       "      <td>1.049</td>\n",
        "      <td>0.117</td>\n",
-       "      <td>0.818</td>\n",
-       "      <td>1.254</td>\n",
+       "      <td>0.837</td>\n",
+       "      <td>1.272</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2346.0</td>\n",
-       "      <td>1468.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4895.0</td>\n",
+       "      <td>2808.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>scale(math)</th>\n",
-       "      <td>-0.151</td>\n",
+       "      <td>-0.150</td>\n",
        "      <td>0.064</td>\n",
-       "      <td>-0.270</td>\n",
-       "      <td>-0.031</td>\n",
+       "      <td>-0.261</td>\n",
+       "      <td>-0.023</td>\n",
        "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2970.0</td>\n",
-       "      <td>1670.0</td>\n",
+       "      <td>4579.0</td>\n",
+       "      <td>3433.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -881,18 +851,18 @@
       ],
       "text/plain": [
        "                   mean     sd  hdi_3%  hdi_97%  mcse_mean  mcse_sd  ess_bulk  \\\n",
-       "alpha             1.019  0.105   0.842    1.234      0.002    0.001    2575.0   \n",
-       "prog[Academic]    1.889  0.088   1.719    2.045      0.002    0.001    2702.0   \n",
-       "prog[General]     2.337  0.165   2.028    2.643      0.003    0.002    2429.0   \n",
-       "prog[Vocational]  1.047  0.117   0.818    1.254      0.002    0.002    2346.0   \n",
-       "scale(math)      -0.151  0.064  -0.270   -0.031      0.001    0.001    2970.0   \n",
+       "alpha             1.020  0.104   0.819    1.211      0.002    0.001    4558.0   \n",
+       "prog[Academic]    1.888  0.083   1.737    2.044      0.001    0.001    5597.0   \n",
+       "prog[General]     2.340  0.165   2.028    2.651      0.002    0.002    6092.0   \n",
+       "prog[Vocational]  1.049  0.117   0.837    1.272      0.002    0.001    4895.0   \n",
+       "scale(math)      -0.150  0.064  -0.261   -0.023      0.001    0.001    4579.0   \n",
        "\n",
        "                  ess_tail  r_hat  \n",
-       "alpha               1621.0    1.0  \n",
-       "prog[Academic]      1253.0    1.0  \n",
-       "prog[General]       1531.0    1.0  \n",
-       "prog[Vocational]    1468.0    1.0  \n",
-       "scale(math)         1670.0    1.0  "
+       "alpha               3393.0    1.0  \n",
+       "prog[Academic]      3513.0    1.0  \n",
+       "prog[General]       3322.0    1.0  \n",
+       "prog[Vocational]    2808.0    1.0  \n",
+       "scale(math)         3433.0    1.0  "
       ]
      },
      "execution_count": 15,
@@ -945,85 +915,85 @@
        "    <tr>\n",
        "      <th>alpha</th>\n",
        "      <td>1.016</td>\n",
-       "      <td>0.104</td>\n",
-       "      <td>0.812</td>\n",
-       "      <td>1.205</td>\n",
+       "      <td>0.103</td>\n",
+       "      <td>0.833</td>\n",
+       "      <td>1.217</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>0.002</td>\n",
-       "      <td>2366.0</td>\n",
-       "      <td>1715.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4598.0</td>\n",
+       "      <td>3093.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog[Academic]</th>\n",
-       "      <td>1.875</td>\n",
-       "      <td>0.085</td>\n",
-       "      <td>1.713</td>\n",
-       "      <td>2.032</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>1.880</td>\n",
+       "      <td>0.087</td>\n",
+       "      <td>1.720</td>\n",
+       "      <td>2.045</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>2641.0</td>\n",
-       "      <td>1545.0</td>\n",
+       "      <td>4763.0</td>\n",
+       "      <td>3075.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog[General]</th>\n",
-       "      <td>2.341</td>\n",
-       "      <td>0.172</td>\n",
-       "      <td>2.021</td>\n",
-       "      <td>2.654</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>2.342</td>\n",
+       "      <td>0.170</td>\n",
+       "      <td>2.047</td>\n",
+       "      <td>2.682</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>2072.0</td>\n",
-       "      <td>1124.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4540.0</td>\n",
+       "      <td>3075.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog[Vocational]</th>\n",
-       "      <td>0.994</td>\n",
-       "      <td>0.124</td>\n",
-       "      <td>0.774</td>\n",
-       "      <td>1.241</td>\n",
-       "      <td>0.003</td>\n",
+       "      <td>0.986</td>\n",
+       "      <td>0.127</td>\n",
+       "      <td>0.756</td>\n",
+       "      <td>1.227</td>\n",
        "      <td>0.002</td>\n",
-       "      <td>1962.0</td>\n",
-       "      <td>1661.0</td>\n",
+       "      <td>0.001</td>\n",
+       "      <td>4663.0</td>\n",
+       "      <td>3392.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog:scale(math)[General]</th>\n",
-       "      <td>0.012</td>\n",
+       "      <td>0.008</td>\n",
        "      <td>0.170</td>\n",
-       "      <td>-0.322</td>\n",
-       "      <td>0.312</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>-0.304</td>\n",
+       "      <td>0.331</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>1949.0</td>\n",
-       "      <td>1664.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4118.0</td>\n",
+       "      <td>3218.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>prog:scale(math)[Vocational]</th>\n",
-       "      <td>0.193</td>\n",
-       "      <td>0.164</td>\n",
-       "      <td>-0.123</td>\n",
-       "      <td>0.490</td>\n",
-       "      <td>0.004</td>\n",
+       "      <td>0.194</td>\n",
+       "      <td>0.162</td>\n",
+       "      <td>-0.112</td>\n",
+       "      <td>0.496</td>\n",
        "      <td>0.003</td>\n",
-       "      <td>1830.0</td>\n",
-       "      <td>1593.0</td>\n",
+       "      <td>0.002</td>\n",
+       "      <td>4006.0</td>\n",
+       "      <td>3399.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "    <tr>\n",
        "      <th>scale(math)</th>\n",
-       "      <td>-0.195</td>\n",
+       "      <td>-0.191</td>\n",
        "      <td>0.081</td>\n",
-       "      <td>-0.335</td>\n",
-       "      <td>-0.036</td>\n",
-       "      <td>0.002</td>\n",
+       "      <td>-0.346</td>\n",
+       "      <td>-0.043</td>\n",
+       "      <td>0.001</td>\n",
        "      <td>0.001</td>\n",
-       "      <td>1737.0</td>\n",
-       "      <td>1545.0</td>\n",
+       "      <td>3984.0</td>\n",
+       "      <td>2941.0</td>\n",
        "      <td>1.0</td>\n",
        "    </tr>\n",
        "  </tbody>\n",
@@ -1032,22 +1002,22 @@
       ],
       "text/plain": [
        "                               mean     sd  hdi_3%  hdi_97%  mcse_mean  \\\n",
-       "alpha                         1.016  0.104   0.812    1.205      0.002   \n",
-       "prog[Academic]                1.875  0.085   1.713    2.032      0.002   \n",
-       "prog[General]                 2.341  0.172   2.021    2.654      0.004   \n",
-       "prog[Vocational]              0.994  0.124   0.774    1.241      0.003   \n",
-       "prog:scale(math)[General]     0.012  0.170  -0.322    0.312      0.004   \n",
-       "prog:scale(math)[Vocational]  0.193  0.164  -0.123    0.490      0.004   \n",
-       "scale(math)                  -0.195  0.081  -0.335   -0.036      0.002   \n",
+       "alpha                         1.016  0.103   0.833    1.217      0.002   \n",
+       "prog[Academic]                1.880  0.087   1.720    2.045      0.001   \n",
+       "prog[General]                 2.342  0.170   2.047    2.682      0.003   \n",
+       "prog[Vocational]              0.986  0.127   0.756    1.227      0.002   \n",
+       "prog:scale(math)[General]     0.008  0.170  -0.304    0.331      0.003   \n",
+       "prog:scale(math)[Vocational]  0.194  0.162  -0.112    0.496      0.003   \n",
+       "scale(math)                  -0.191  0.081  -0.346   -0.043      0.001   \n",
        "\n",
        "                              mcse_sd  ess_bulk  ess_tail  r_hat  \n",
-       "alpha                           0.002    2366.0    1715.0    1.0  \n",
-       "prog[Academic]                  0.001    2641.0    1545.0    1.0  \n",
-       "prog[General]                   0.003    2072.0    1124.0    1.0  \n",
-       "prog[Vocational]                0.002    1962.0    1661.0    1.0  \n",
-       "prog:scale(math)[General]       0.003    1949.0    1664.0    1.0  \n",
-       "prog:scale(math)[Vocational]    0.003    1830.0    1593.0    1.0  \n",
-       "scale(math)                     0.001    1737.0    1545.0    1.0  "
+       "alpha                           0.001    4598.0    3093.0    1.0  \n",
+       "prog[Academic]                  0.001    4763.0    3075.0    1.0  \n",
+       "prog[General]                   0.002    4540.0    3075.0    1.0  \n",
+       "prog[Vocational]                0.001    4663.0    3392.0    1.0  \n",
+       "prog:scale(math)[General]       0.002    4118.0    3218.0    1.0  \n",
+       "prog:scale(math)[Vocational]    0.002    4006.0    3399.0    1.0  \n",
+       "scale(math)                     0.001    3984.0    2941.0    1.0  "
       ]
      },
      "execution_count": 16,
@@ -1073,7 +1043,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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ECdWoUUMhISEym806efKk5syZo2effVbly5dX//799cMPP6hcuXLq1KmT9fgaNWpkOU579uzRq6++qsTERLVu3Vrly5fXvn37NH/+fG3evFnff/+9XWBJSUnRK6+8omvXrqlFixa6deuWVq9erXfffVfjxo1TUFBQ7v6xAACAFWEFBZ/ZrKILnpPzuV2OriRTKX4NFP/M3LsWWA4dOqS5c+eqVKlSkqSXXnpJTz/9tBYuXKgBAwbI1dVVLVq00PXr161hpU+fPrp69apNP1999ZWOHz9unaGw+Pe//62XXnpJn332mYKDg1WkSBGb4y5fvqy5c+fa/aDfsWNH9e7dW66urjbbf/jhB02bNk1r1qxRx44drdu/+OILnThxQi+++KLd4vno6GgVLVpUXl5eGjhwoH744QeVL1/ebuYkM6mpqfroo48UHx+vcePG2czIfPvtt5o1a5YmTZqkd9991+a4S5cuqWbNmpo8ebL1Otq3b69hw4Zp3rx5hBUAAO4AYQWGl5KSotTU1Lx3YDbL3Zx/9dwNZrNZSUlJdxRWkpOTJaX90J2UlGT9uyS98MIL8vb2tm4vVqyYmjZtqt9//13Hjh1T1apVJaWNteV/k5KSrO2ltFmNsLAwBQYGqkOHDjb7ihcvrl69emn8+PGKiIhQ06ZNrdclyXpLV/pjJMnX11eS7LZ37dpV06ZN09atW9WmTRtJ0pUrV7R27Vr5+/urb9++dscUL178n3H8/27/2sJynenHavfu3Tpz5oyCg4MVGBhoc9xzzz2nn3/+WatWrdLw4cPtwpXltjPLMfXr11e5cuV04MCBDM+fE7ePP+4txt+xGH/HYvwdi/G3RViB4UVFRSkxMfHOOmn4gZxSbuVPQXdBqnMR6fTpO+rj0qVLkqT4+HidOnVKUtr6Dkny8vKybrOwzH789ddf1lutoqOjrf974sQJxcbGWtvv3r1bKSkpun79ur7++mu781+8eNHarkKFCpKkhISETM8vpYWJ8PBwhYeH6+zZs7p586Y14EjS2bNnrcft2rVLZrNZ1atXV1RUVI7GJCEhIcPzXrhwQVJaALPs37p1qySpcuXKGR7zwAMPaO/evdq6dasqVqwoKS0gWkLY7ccUL15cFy9ezLCvnIiJibEZf9xbjL9jMf6Oxfg7VmEa/zJlymTbhrACw0tMTJSzs7OcnZ3vsKci2Te5j1l+2+/k5CQ3Nzfr3yXJ29vbuu329s7OztZ9ltDi4uKiIkWK2BxjCR5HjhzRkSNHMq0jOTnZ7vylS5eWKYNZo+nTp+v3339XyZIl1bBhQ/n6+lprWLRokVJSUqx9WQJrqVKl7K4lM+nHIrtrt/RfokSJDI8pUaKEpLTfeFn2m0wmFStWLMP2Li4uMpvNOa71drePP+4txt+xGH/HYvwdq7CMv+Uuh+wQVnBfcHZ2trv1BrbSh5X0f7fsu338LOHPxcXF5od3y//efoyXl5ck6amnnlLfvn1zVJMloGT0H92YmBitXLlSlStX1meffWazzuXq1atatGiRTCaTtYbixYtbj8vpZyH98elZAlH6z5Wnp6ckKS4uLsNjrl27Zq3j9v0Ztbdce14/txn9m+HeYfwdi/F3LMbfsRh/W7zBHoCVJdxktEaoWrVqMplMOnz4cL6c6+LFizKbzapbt67dgvwDBw5keH4nJyft27fPuj4nK05OTrla6/Tggw9Kkvbt22e379atWzp27Jjc3Nzk5+eX4z4BAMCdIawAsLLMLljWrqTn6+urpk2b6tChQ1qyZInN2hKLI0eO6NatnK0NKl26tKS0J5WlDxWXL1/WnDlz7Nr7+PgoODhYFy5c0IIFC+z2x8TE2Ewpe3p6ZngdmXnooYdUrlw57dy5U7t377bZt3jxYl27dk2PPfYYv+0CAOAe4jYwAFYBAQFyc3PTr7/+qpSUFOuMR/fu3SVJL7/8sqKiojR79mxt2LBBAQEB8vDw0OXLl3Xs2DGdP39e06dPt5spyUiJEiXUpEkTRURE6M0331SdOnUUGxurHTt2qE6dOtYF++n961//0unTp7Vo0SLt3LlTderUkdls1rlz5/Tnn39q5syZKlasmCSpTp062rx5s8aMGaMqVarIyclJDRs2VKVKlTKsx8nJScOGDdOHH36ojz/+WI8++qhKly6tI0eOaO/evSpXrpz69OmT16EFAAB5QFgBYOXl5aW33npL8+fP19KlS62zJJaw4uXlpdGjR2v58uXavHmzwsPDlZqaKl9fX1WuXFk9e/a0ri3JiWHDhqlMmTKKiIjQ8uXLVapUKXXp0kUhISF6+umn7doXL15cn3/+uX7++Wdt2bJFy5cvl6urq8qWLatu3brZhKT+/ftLkvUJXpY6MwsrkvTwww/r888/14IFC/Tnn3/q5s2b8vX1VadOnXJ9bQAA4M6ZzBndywEYyPbt2+Xm5sbtN/eYj4+PYmJiHF1GocX4Oxbj71iMv2Mx/o5VWMY/KSlJ9erVy7Yda1YAAAAAGBJhBQAAAIAhEVYAAAAAGBJhBQAAAIAhEVYAAAAAGBJhBQAAAIAhEVYAAAAAGBJhBQAAAIAhEVYAAAAAGBJhBQAAAIAhEVYAAAAAGBJhBQAAAIAhEVYAAAAAGBJhBYCNffv2KSQkRDNnzszxMS+//LJefvllm23z589XSEiI9u3bl+N+1q5dq5CQEK1duzbHxwAAgIKLsAIUQOPHj1dISIj69eunlJQUR5dj9ffffyskJEQTJkxwdCkAcN87c9ZZ23cU0Zmzzo4uBbhrXBxdAID8dfPmTUVERMhkMikmJkY7duxQUFDQPa/jiSeeULNmzVS6dOkcHxMUFKQaNWrI19f3LlYGAMYVe82UbZvrcSZN+95bBw66Wbc9XDNRAwfEysvTnOlx3sUz3wcYFWEFKGA2btyoW7du6amnntLSpUsVFhbmkLBSvHhxFS9ePFfHFCtWTMWKFbtLFQFA/kpIyP8+B/yrTLZtnJykYsWkD983qV4dafde6Yuv3PT6m6WVmpr5cXNmXMxRDfEJ2V+bu3uOugLuGGEFKGDWrFkjFxcXde/eXUeOHFFkZKSuXLmiEiVK2LS7deuWFixYoPDwcF27dk3lypVT586d5efnl2nfW7du1aJFi3T69GkVLVpUjRo10osvvphh2/nz52vBggX66KOPVLt2ba1du1YTJ06UJK1bt07r1q2ztr29zbBhw9S6dWvdunVLffv2lY+Pj7799tsMzzN48GBdvXpVM2fOVJEiRSRJZrNZYWFhCgsL06lTp5SSkqKKFSuqY8eOatu2ba7GEwAy06dfWYecNzVVevN1k1q3TJuFad1SMpulUR9kPXOSu3qzbrtwXs6CD3CnCCsoFMxm6dYtR1eRuSJFJFP2M//ZOnXqlP766y8FBQXJy8tLLVu21MGDB7Vu3Tp1797d2i41NVWjR4/W7t27ValSJTVv3lzXr1/XjBkzVLt27Qz7XrdunSZMmCAPDw+1aNFCxYoV044dOzRq1CglJyfLxSXr/5xUqVJFnTt31rJly1S5cmWb2Z4yZTL+TWKRIkUUHBys9evX69ChQ3rooYds9h85ckTnz59Xq1atbILKuHHjFB4eLj8/Pz322GNydXXVn3/+qW+++UZnz55V3759czKcAGBY9erYfl2/rmPqAO42wgoKPLNZ+r/3fXX4iFv2jR0kICBRH426eseBZc2aNZKkli1bSpKaNm2qH374QWFhYTZhZf369dq9e7ceeeQRvfvuu3J2Tluc2blzZ73xxht2/d68eVPff/+93N3dNWbMGPn7+0uSnnvuOY0aNUpXr17Ndm1KlSpV9OSTT2rZsmWqUqWKevXqlaNratmypdavX68NGzbYhZUNGzbYXK8krV69WuHh4Wrbtq3+/e9/W68tKSlJX3zxhX755Rc99thjqlq1ao7ODwCZyeltVbmR09mP3XvTZlQs/tyT/TE5rdfbx0exMTE5agvcbYQVFA75MGthdElJSdqwYYM8PT0VGBgoKW0NSOPGjbVp0ybt379ftWrVkiTrLVjPPfec9Yd5SapUqZJatmxpDT0WW7du1c2bN9WpUydrUJEkFxcXPffcc3r33Xfv2nXVqVNHJUqU0JYtW9S/f3/rDE5KSoo2bdqkkiVL2swGrVixQu7u7ho4cKDNtbm6uuq5557T9u3btXHjRsIKgDt2N9ZtfD/172zbfD3OR1+PdZXZ7KT6ddOCythxqXq4ZpJGvBaT6XE5rbeou3SLNSkwCMIKCjyTSfpo1NUCfxvYtm3bdP36dXXo0EGurq7W7S1bttSmTZsUFhZmDSsnT55UkSJFMvyBvWbNmnZh5eTJk9Z9twsICLAJBfnNyclJjz32mH755Rft2rVLjRo1kiTt3LlT165dU9euXeXklPYU9lu3bunUqVMqUaKEQkND7fpKTk6WJJ09e/au1QsAdyInT+x6/bUYjZ/ko1Ef/HPHQN06SXp1aIyK88QvFDAFPqy0bt1aUVFR1q+XL19+X/5G9e2339aSJUsUFhamChUqOLochYaGauTIkRo9erS6deuW6+NPnTql9u3bW7/29/e/qy8CNJkK/pNLwsLCJNneEiVJ9evXl6+vr7Zs2aIBAwbIw8NDN2/eVKlSpTLsx8fHx27bzZs3JUne3t52+5ydneXl5XVnxWejZcuW+uWXXxQeHm4NK+Hh4dZ9FnFxcTKbzYqOjtaCBQsy7e+WkZMrAGSjeHGz/u+dqzpz1lkXLrioXLlkVaxgnHdqAfmpwIcVSfLy8rI+sSir9ze89dZb+uWXX1SqVClt2LAh2wXDyDtvb28NHTpUkjRr1iwHV3P/u3z5snbv3i1JGjlyZKbtNm3apPbt28vDw0OxsbEZtonJ4D5lDw8PScrwmJSUFF2/ft3uaWP5qXLlyqpcubK2bdum+Ph4SWkzSZUrV1alSpXs6qxataq+/PLLu1YPABhBxQophBQUeIXip/HixYtr2LBhWbaJi4vTqlWrZDKZdPnyZa1fv55HnGahXbt2qlevXqZPccqOj4+P9d9kyZIl+VlaoRQWFqbU1FTVrFnTZk2JRXJystavX681a9aoffv2qly5svbt26djx47ZzTQePHjQ7vjKlStb9zVt2tRm3+HDh5WSkrP/s7TcrpWa1YsAMtG8eXPNnj1bERERkqTExES1aNHCpk3RokVVoUIFnT17Vjdu3OCdLQAA3OcKRVjJiWXLlik+Pl4vvfSSZsyYoUWLFhFWsuDl5XXXb/1BzpjNZq1du1Ymk0mvvvqqypbN+Ekyp0+f1tGjR3Xq1Cm1bNlS+/bt048//mjzNLBTp05p/fr1dsc2btxYHh4eCgsL0+OPP24NRMnJyfrpp59yXGuxYsVkMpkUHR2d6+ts0aKF5s6dqw0bNshsNsvJyUnNmze3a9epUydNnTpV33zzjV555RW533b/38WLF2UymfIctAEAwL2T67CydetWvfDCCxo6dKiCg4M1fvx47d+/X66urnrsscf05ptvqly5ctb2rVu3liT9/PPPmjBhglavXq1Lly7p448/tq51WLdunaZPn64DBw4oKSlJVapUUUhIiPr06ZPhwt358+drzpw5On36tEqUKKFOnTrp1VdfVd26ddW4cWPNmTMn1wOxaNEiubq66l//+pd2796t8PBw/f3335n+QBMWFqaffvpJ+/bt082bN1W6dGkFBgZq4MCBqlGjhiTpxIkTWrhwoSIiInTu3DndvHlTfn5+ateunQYNGpThb32PHj2qL7/8Utu2bZOTk5MaNGigN998M8va16xZozlz5ujAgQNKSEhQpUqVFBISor59+9qMX/p1JpaX7B05ckTFixdX9+7d9corr8jJyUlLly7V9OnTdfz4cZUoUUJ9+vRR//79bc6Z1ZqVM2fOaNq0adq0aZP+/vtveXl5qVq1agoJCcnT+hZkbc+ePfr7779Vu3btTIOKlPa9ePz4cYWFhalv377auHGjdu3apddff10NGjTQ9evXtWnTJtWvX187duywObZYsWLq37+/Jk6cqLfeekvNmjWTh4eHduzYITc3tyxvr0yvaNGiqlatmg4cOKCJEyeqfPnyMplMat68ebaPPi5RooTq1KmjvXv3SvrnKWG369Chg44cOaJ169bp0KFDqlevnnx9fRUbG6uzZ8/q6NGjGj58OGEFAID7QJ5nVv78809NnTpVLVu2VJ8+fbR//34tW7ZMkZGRWrRokc3i3cTERL344ou6ceOGWrVqJVdXV5UsWVJS2nqFTz/9VD4+PurcubM8PDy0du1ajR49WpGRkZowYYJM6R6TNH78eE2ePFmlS5fWM888I2dnZ/3+++86fvx4ngfh8OHD2rt3r9q1aycfHx917dpVkZGR+vnnn/Xyyy/btR8zZox++OEH+fj4qE2bNipZsqTOnz+viIgI1apVyxpWVq9ercWLFysoKEiNGzdWamqqdu/erWnTpmn79u2aO3euzVObjhw5ot69e+vmzZtq166dKleurD179qh3795275ew+PrrrzV16lSVK1dO7du3l6enp7Zv364xY8Zo9+7dmjBhgt0xq1ev1ubNm9W2bVs1aNBA69ev17fffiuz2Sxvb2998803atOmjRo2bKhVq1ZpzJgxKl26tLp06ZLtWO7atUsDBw5UXFycmjVrpk6dOik2NlYHDx7U7NmzCSt3geXJXW3atMmy3WOPPaaZM2dqw4YN6tOnj0aOHGl9g/2yZctUrlw59evXT35+fnZhRUoLO8WKFdPChQu1bt06eXh4WN9gP2LEiBzX++qrr2rGjBnWxyGbzWYFBARkG1aktNkVy9qc228BszCZTHrllVcUGBio1atXa8eOHUpISJC3t7fKly+vF198UfXq1ctxvQAAwHFMZrM5V8+4s8ysSNLHH3+sp59+2rpv0qRJmjhxorp3765PP/1U0j9P42rWrJm++eYbm1syzpw5o44dO8rb21uLFy9W+fLlJaWFm/79+2vbtm0aM2aMnnrqKUlpMxWdOnVS2bJlFRoaav1t7o0bN/TMM8/o6NGjdjMrlpmdrJ409cknn2j27NmaNGmS2rVrp+vXr6tp06YqX768Vq5cadN2w4YNevnll1WjRg3Nnj3b5jfKycnJiomJsQa1ixcvytfXV25uti8jtIzTF198YRMA+vTpo23bttlttwQSSTZPA9u8ebNeeuklNW/eXBMmTFDRokUlpd0W9P7772v+/PmaMGGCOnToIOmf2RBXV1f99NNPqls37XW3cXFxat++vW7evClPT0/NmzdPFStWlCSdP39e7dq104MPPqilS5daa8poZiUxMVHt27fXxYsXNXXqVLtbdC5cuGAz65bTf6Pt27fLzc3NJtjh7vPx8clwsT3uDcbfsRh/x2L8HYvxd6zCMv5JSUk5+uWhU15PUKVKFfXo0cNm24ABA1SiRAn99ttvSkxMtNn35ptv2t07vnTpUiUnJ6tfv37WoCJJbm5uev311yXZLr7+7bfflJKSon79+tmEhGLFimnQoEF5uo7ExEQtXbpU3t7e1t/Uenl5qU2bNjp58qS2b99u0/7HH3+UJL377rt2t764uLjYzCiVLVvWLqhI0vPPPy9J1oXCknTu3Dlt27ZNAQEBdjMY//rXv1S8eHG7fubOnStJ+vDDD61BRUr7zfIbb7whk8mk3377ze64J5980hpUJMnT01MtW7ZUfHy8evXqZQ0qklS+fHkFBgbqr7/+sr6jIjNhYWE6f/68unTpkuFagoyCCgAAAJCZPN8G1qBBA5vbsyTJ3d1dtWrV0saNG3Xy5Enr7VBFihRRQECAXR+Wpw4FBQXZ7atfv77c3d1tnkx06NAhSdIjjzxi1z6jbTmxZs0axcTEqFevXjbBomvXrlq+fLkWL15sfa+DlLY+wM3NTY0bN862b7PZrMWLF2vJkiU6evSorl+/bvMUpL///ucttZZrs7x5PL1ixYrpoYce0rZt22y27969Wx4eHlq0aFGG53d3d8/w9riMXuxnuQUns30pKSmKjo7Ock3Enj17JMnuaVEAAABAXuQ5rFjWnNzOMrNw/fp1m7a3Bxsp7fajrPoqWbKkLl68aNc+o0W1mb3gLjuLFy+WJOutZhbNmjVT6dKl9fvvv+u9996Tp6enpLTrKlu2rPURrFn5+OOPNXfuXJUvX16tW7dW6dKlrYFo0qRJNrNPlvHKblzTi42NVXJysiZNmpRpDZaX+aVnuZb0LO+UyWpfUlJSpueR/rmGrAINAAAAkFN5DiuZPXr08uXLkmTzWNuMgor0zw/G0dHRGb4bIjo62uaHZ8vfr1y5Ytfect7cOH/+vLZs2SJJ6t27d6btfvvtNz3zzDOS0q7r0qVLSk1NzTKwREdH68cff1RAQIAWLFhgc5vWpUuX7AKGZbyyG9f0LOOxdevWTOu4lyzXkD5gAgAAAHmV5zUrO3fu1O1r8xMSErR//365u7tbXyKXFcstRxn9sL1nzx4lJCTYPAXL8vddu3bZtc9oW3YWL16s1NRUBQYGqkePHnZ/LLMt6W+zqlu3rhITE+1uybrdmTNnZDab9eijj9oEFUkZPmnJcm2RkZF2+27cuGG9TSy9unXrKiYmRidPnsz2Wu8FyzqYzZs3O7gSAAAAFAR5DisnTpywWyvx/fff68qVK+rUqVOGC8tv9+STT8rFxUUzZ860+W18UlKSvvzyS0lSSEiIdfsTTzwhJycnzZw5U1evXrVuv3nzpqZMmZKr+s1ms0JDQ2UymfT555/rk08+sfszZswYPfzww9qzZ4+OHDkiSXruueckpT1B7PYnNSQnJ1tnQPz8/CSlhaj061QuXLigr776yq4ePz8/NWrUSIcPH7Z56pYkTZ06VdeuXbM7pk+fPpKkd955x2Y8LC5duqRjx47ldEjuWJs2bVSuXDktXbpUGzdutNvPjAsAAAByI8+3gTVr1kwffPCBNmzYoAcffFD79+/Xpk2bVL58+Ry/c+GBBx7QG2+8oc8++0xdunTR448/rqJFi2r9+vU6fvy42rRpY7OW5MEHH9TLL7+sKVOm6Mknn1THjh3l4uKiVatWqUaNGjpy5Eimt5zdLiIiQlFRUQoKCrJ5+tXtunXrpgMHDmjRokV655131KJFC7300kuaPn26OnTooLZt21rX1kREROill15S3759VaZMGXXo0EErV65U9+7dFRwcrOjoaK1fv17BwcE6c+aM3bn++9//qnfv3vrPf/6jNWvWqHLlytq7d6/27Nmjhg0b2s3ING/eXIMHD9bkyZPVvn17PfbYY/Lz81NMTIxOnTqlyMhIvfbaa6patWqOxuROubm5ady4cRowYIAGDhyoxx57TA899JDi4uJ08OBBJSQk6Oeff74ntQAAAOD+l+eZlfr162vGjBm6evWqZs+erT179qhTp06aN29erha79+vXT5MnT1aNGjW0dOlSzZ07Vy4uLnr77bftXggpScOHD9eoUaNUvHhxzZ8/XytWrFCHDh30/vvvS8p4gXhGLLNC3bt3z7Jd586d5erqqqVLl1oXxP/nP//RxIkTFRAQoJUrV2rGjBnavn27goODbZ6ENXr0aL300kuKjY3V3LlztXv3bvXt2zfDmRVJqlGjhubNm6fHHntMGzdutI5F+vee3M7ygr3AwEBFRERo5syZWr9+vZKSkjR06FA9+eSTORqP/PLII49oyZIl6t69u44cOaIZM2Zo5cqVcnV1Vd++fe9pLQAAFDRusSdV7OxmucWedHQpwD2R55dCDh06VMOGDbtbdeXali1b1K9fPw0YMEBvvvmmdXtOXgoJx+KlkMZUWF5KZVSMv2Mx/o5VGMffOSEmy/1Ot66p7I6xKvr3buu2+DL1dLHhcKUWsX8Xm0WKu0+uaymM428khWX8c/pSyDzfBuYoV65ckbe3t5ydna3brl27Zp2taNu2rd0xUVFR1ve8LF++/J7dFoXMnTp1Su3bt7d+ndHT4AAAMCpTcny+9vfgkm5Z7jebnCQ3L8V3HqtU/0A5RUXKffUoVVrxkkzm1EyP++tp+5dDZyupSIbXZ3YpmkFj4O6678LK0qVLNX36dAUHB6tMmTK6dOmSNm7cqOjoaHXr1s3u5ZAvvPCCzTtfbn/rPBzD29tbQ4cOtX6d/lHXAAAYXbWFne7p+UzmVMW3e18pNTpKklJqdNQts1nuv2W9TjivdZbOYNvR3tylgnvvvgsrDRo00NatW7VlyxbFxsbK2dlZDz74oAYPHqxnn33Wrj3rJIzJx8fHULcRAgBgdKn+gTZfp1Ro6KBKgHsn12ElKChIhw8fvhu15EjdunX17bffOuz8AAAAebq9Kgs5mQFxioq0zqxIkvNZ+/e23S4vdXp7+yg2NibXxwF3w303swIAAOBo+b1+43hIaJb7y2/+QEXCPlSi2ayUCg3lfHaH3NZ+pPgy9XS+6aj8rdO1qMwut3J/HHAXEFYAAAAcLLundp1r9r7Kb/lEHunWqNws11DnH31XqUW873J1gOMQVgAAAAwutYi3olqNkVvsSblej1KSl78SvSs7uizgriOsAAAA3CcSvSsTUlCo5PkN9gAAAABwNxFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIbk4ugAgJ1JSUhxdQqGTlJSkpKQkR5dRaDH+jsX4Oxbj71iMv2MVlvHP6c92hBUYnpubmxITEwks99itW7eUmJjo6DIKLcbfsRh/x2L8HYvxdyzG3xZhBYbn7++v1NRUR5dR6Pj6+urq1auOLqPQYvwdi/F3LMbfsRh/x2L8bRFWYHjOzs5ydnZ2dBmFjqurq1xdXR1dRqHF+DsW4+9YjL9jMf6OxfjbYoE9AAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAEMirAAAAAAwJMIKAAAAAENycXQBAAAAgBGcOGlWVJTk7y9VqWxydDkQYQUAAAD3qasx5nzpJ/aaWV9+Jf25+59t9euZ9cbrknfx/Aktvj6En7wgrAAAACBb8fH5Ewzy05Nd86cmJyepWDHpw/dNqldH2r1X+uIrs17oK6Wm5s85Vq/IWbsiRcz3dKyLFjV2iCKsAAAAIFvtHjdeWMkvqanSm6+b1Lpl2g/urVtKZrM06oP8u+acj9+VfDtnTmxab+ywwgJ7AAAAFHr16th+Xb+uY+qALWZWAAAAkK3VK4z3G/j8nO3ZvTdtRsXizz351rWknI+fj4+vYmKu5u/J72OEFQAAAGTLiGsbfv05f/r5v1FmfT3OLLM5bUblzz3S2PFm1a8nffRB/lx3TsfPw8OkW7eMN9aOQlgBAADAfSm/nrD18QfSBx+bbdaoNGoojXrPJB+e4uVQhBUAAAAUaj4+Jo390sR7VgyIBfY5FBoaqoCAAOuf4cOHO7qk+8LWrVsVEBCgiRMn2mzv3bu3zXhu3brVQRUCAACkqVLZpGZNTQQVA2FmJZfatGmjmjVrqnr16nb7EhIStHjxYoWFhenw4cOKjY2Vq6urKlSooEceeUSdOnVSUFCQA6o2nu7du+vRRx/Vtm3btG3bNkeXAwAAAAMirORS27Zt1a1bN7vthw4d0pAhQ3T27FmVL19ezZo1U9myZXXr1i2dPHlSv/76qxYsWKCXX35Zr7/+ugMqN5YePXpIkiZOnEhYAQAAQIYIK/ngwoULeumllxQTE6N33nlHzz//vJydnW3a3LhxQ/Pnz9eFCxccVCUAAABwfyGs5IOvvvpK0dHReuWVV/Tiiy9m2KZYsWLq37+/kpOT7fYlJibqxx9/1NKlS3XixAmZTCbVrFlT/fv3V5s2bWzavv3221qyZInCwsK0YcMGzZ07V2fPnlWpUqXUvXt3DR48WE5O9kuR1qxZozlz5ujAgQNKSEhQpUqVFBISor59+9oEq9DQUI0cOVKjR49WiRIl9N133+ngwYPy9fXV2rVrlZiYqAULFmj9+vX666+/FB0dLS8vLwUGBmrw4MF6+OGH73A0AQAAgDQssL9D8fHxWrFihYoWLaq+fftm297FxTYfJiYmqn///vrss88kpd0e1aVLF507d06DBw/W3LlzM+xnzJgxmjhxourXr69nnnlGUtotVePHj7dr+/XXX2vIkCE6efKk2rdvr2effVZubm4aM2ZMpg8K+P333zVkyBD5+vrq2WefVfPmzSVJsbGx+vTTT5WYmKgWLVqob9++aty4sTZs2KBevXppz558foMSAAAACi1mVu7Qvn37lJSUpPr166tYsWK5Pv6bb77Rtm3bNGzYMA0ZMkQmU9rTJ+Li4vTiiy/qs88+U7t27VS2bFmb4/bv36+lS5eqTJkykqTBgwerQ4cOmjNnjoYMGSI3NzdJ0ubNmzV16lQ1b95cEyZMUNGiRSVJZrNZ77//vubPn6+VK1eqQ4cONv2Hh4dr+vTpevTRR222e3t7a/369Xb1HD16VD179tTYsWM1Y8aMXI8DAAAAcDtmVu7QpUuXJMkaGtJLTU3VxIkTbf5MnjzZZv+8efNUqVIlm6AiSZ6enhoyZIiSkpK0evVqu74HDx5sc84SJUqoTZs2unHjhk6cOGHdbpmZ+fDDD61BRZJMJpPeeOMNmUwm/fbbb3b9t23b1i6oSJKbm5tdUJGk6tWrKygoSNu3b1dSUpLdfgAAACC3mFm5i1JTUzVp0iSbbW5ubho8eLAk6cSJE4qNjVWZMmXs2knSlStXJEnHjx+321erVi27bZYQcf36deu23bt3y8PDQ4sWLcqwRnd39wz7r1u3bmaXpYMHD+r7779XZGSkLl++bBdOrl69mmF4AwAAAHKDsHKHSpYsKUm6ePGi3T4XFxcdPnzY+nXr1q2tMzGSFBMTIyntFqqjR49meo74+Hi7bZ6enhmeT5JSUlKs22JjY5WcnJxhGLK4efOm3TbLdd1u586d1ocING3aVJUrV5aHh4dMJpPWrFmjQ4cOKTExMdNzAQAAADlFWLlDderUkaurq/bv36+4uLgMQ0RmLG07dOigCRMm3JX6LOfI7Rvi09+Slt6UKVOUmJion376SYGBgTb7/vzzzzzVCAAAAGSENSt3yMPDQx06dFB8fLxmzpyZq2OrVq0qT09P6yL9u6Fu3bqKiYnRyZMn86W/06dPy8fHxy6oxMfH68CBA/lyDgAAAEAirOSLESNGyNfXV5MnT9bs2bNtbsOySEhIsLs9ysXFRb1791ZUVJQ+//zzDAPLkSNHFB0dnefa+vTpI0l65513dPXqVbv9ly5d0rFjx3Lcn7+/v2JjY21uW0tJSdHnn39uXWMDAAAA5AduA8sH/v7++uGHHzRs2DB98sknmj59uoKCglS2bFklJCTo4sWL2rRpk+Li4uyesPXKK6/owIEDmjNnjjZs2KBGjRqpRIkSunjxoo4cOaJDhw5pwYIFma4hyU7z5s01ePBgTZ48We3bt9djjz0mPz8/xcTE6NSpU4qMjNRrr72mqlWr5qi/559/Xps2bdKzzz6rxx9/XG5ubtq2bZsuXryoxo0ba9u2bXmqEwAAwAhM0X/JKea0Un0ekLlkNUeXU+gRVvJJrVq19Ntvv2nRokVas2aNwsPDde3aNbm5ucnPz08dO3bUk08+qeDgYJvj3NzcNG3aNC1atEg///yzVq5cqcTERJUqVUpVq1ZVr169VKNGjTuq7dVXX1WjRo00e/ZsRURE6Pr16/Lx8VGFChU0dOhQPfnkkznuq1WrVpowYYKmTp2qpUuXyt3dXcHBwfrmm2/0zTff3FGdAAAAuXIzH+/qiI+R+5pRconaYd2U7N9QCW0/kIr65N95PErkX1+FgMlsNpsdXcT9IDQ0VCNHjtTo0aPVrVs3R5dTYEycOFGTJk3S7NmzFRQUlGGbjG5fw93n6+vL2DsQ4+9YjL9jMf6OZTf+SfZPDTUKz4mB2TfKIbPJSXLzUkK795XqHyinqEi5rx4lJcbJZE7Nt/PEDYvMcr+Pj4/1ibH3lKvHPT+lr69vtm2YWcmlkSNHauTIkXriiSc0duxYR5dz3+rdu7d27tzp6DIAAEA28jMQGJnJnKr4du8rpUZHSVJKjY66ZTbL/bcR+Xqe7MYzWVLOny2bf+JGHHTAWbNHWMmhmjVraujQodavq1ev7sBq7n/du3e3Wb/j7+/vwGoAAACkVH/bIJFSoaGDKoEFYSWHatasqZo1azq6jAKjR48eji4BAADkQHa3LTlSfs/6OEVFWmdWJMn57I4sWueNYW8DMyjCCgAAADLngLUMORX378351pf7r6+qSNhHSjSblVKhoZzP7pDb2o+VXKGREjqPy7fzZDeeJrdikmtilm0KE8IKAAAA7k/5+GSthC4T5L78DZs1KsmVHlXCE19KRbNfCI67g7ACAAAAFPVVQvcfeM+KwRBWAAAAgP/PXLKaUggphuHk6AIAAAAAICOEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEguji4AyE5KSopSU1MdXUahk5SUpKSkJEeXUWgx/o7F+DsW4+9YjL9jMf62CCswvKioKCUmJjq6jEInJiZGsbGxji6j0GL8HYvxdyzG37EYf8cqTONfpkyZbNsQVmB4iYmJcnZ2lrOzs6NLKVSKFCkiNzc3R5dRaDH+jsX4Oxbj71iMv2MVlvFPSUnJUTvCCu4Lzs7OcnV1dXQZhYqrqytj7kCMv2Mx/o7F+DsW4+9YjL8tFtgDAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCTCCgAAAABDIqwAAAAAMCQXRxcAAMD95MxZZ1244KJy5ZJVsUKKo8sBgAKNsAIAKLRir5lyvO96nEnTvvfWgYNu1m0P10zUwAGx8vI05+q83sVz1x4ACivCCgDAEBIS7v05B/yrTBZ7bfc5OUnFikkfvm9SvTrS7r3SF1+56fU3Sys1NXfnnTPjYu6LzSV397t+CgC46wgrAABD6NOvrKNLyFJqqvTm6ya1bpk249K6pWQ2S6M+yP0syb241oXz7n4gAoC7jQX2AADkUL06tl/Xr+uYOgCgsGBmBQBgCPfi1qjb5XaGY/fetBkViz/35O28jrhWALgfEVYAAIbgiDUW30/9O8Pt3sW9FXst1mbb1+N89PVYV5nNTqpfNy2ojB2XqodrJmnEazG5Oi/rSQAgZwgrAIBCK7Oncvn4SJLtvtdfi9H4ST4a9cE/TwOrWydJrw6NUXGe7gUAdwVhBQCAHChe3Kz/e+cq71kBgHuowCywDw0NVUBAgPXP8OHDHV3SXff2228rICBAZ8+edXQpWQoICFCfPn1sto0dO9bm32vixIkOqg4AcqdihRQ1aniLoAIA90CBCSsWbdq00dChQ9WhQwcdP35cAQEBevzxx7M97rPPPlNAQIBmzJhxD6rMGUsACw0NdXQp+S44OFhDhw5VSEiIo0sBAACAQRW428Datm2rbt26Wb9u0KCBdu7cqV27dumRRx7J8JikpCQtXbpUrq6ueuqpp+5VqXdsxIgRGjhwoMqWNfa7CTLSpEkTNWnSRFu3btWSJUscXQ4AAAAMqMDNrNyuR48ekqTFixdn2mb9+vWKjo5W69atVaJEiXtV2h0rU6aMqlatKldXV0eXAgAAAOS7Ah9WHn/8cRUrVkzLly9XfHx8hm0sQaZ79+7WbTt37tTLL7+sxo0bq06dOurYsaMmTpyYaR9nzpzRf//7X7Vu3Vq1a9dWkyZN1KdPH5tbuBITEzVnzhz1799fLVq0sLYbOnSoDhw4YNPf22+/rZEjR0qSRo4cabO+I32bzNasLFmyRD179tQjjzyiRx55RD179sxwBmPr1q3WNSP79+9X//799cgjjygwMFBDhgzJsO/Vq1drxIgRateunerVq6fAwEA9++yzWrlyZYZjAwAAAORFgbsN7HYeHh564okntHDhQq1cuVJdu3a12X/p0iVt3LhR5cqVU7NmzSRJK1eu1IgRI+Tq6qrHH39cJUuW1JYtWzRp0iRt3rxZs2fPlpvbP4+u3LVrlwYOHKi4uDg1a9ZMnTp1UmxsrA4ePKjZs2dbb0uLjY3Vp59+qoYNG6pFixYqXry4zpw5o7Vr1yo8PFxz585V3bppr0Nu27atrl27prCwMLVp00Y1a9bM8TV/+umnmjVrlsqWLavu3bvLZDJp1apVevvtt3Xo0CFrCEpv3759+uGHH9S4cWP16tVLBw4c0Jo1a3TkyBEtW7ZMRYoUsbb96quv5OrqqsDAQJUuXVpXrlzR2rVr9corr+i9996zW0wPAAAA5EWBDytS2q1gCxcu1OLFi+3Cys8//6zk5GSFhITI2dlZcXFxeu+99+Tk5KT58+froYcekiSZzWa98cYbWrZsmb7//nsNHjxYUtpsyfDhw3Xjxg199913at68uU3/Fy5csP7d29tb69evt1tjcvToUfXs2VNjx461LvBPH1ZuX4eTlR07dmjWrFmqWrWqFixYIC8vL0nSK6+8op49e2rmzJlq166dGjZsaHPc+vXrNXbsWD3xxBPWbW+99ZZ++eUXrVmzRp06dbJunzZtmipWrGhz/I0bN9SrVy+NHz9ePXr0UNGiRXNULwAAAJCZAn8bmCTVr19f1apV0/bt23XmzBmbfaGhoTKZTNZbwNasWaNr166pe/fu1qAiSSaTSW+88YZcXFxsbqcKCwvT+fPn1aVLF7ugIknlypWz/t3NzS3DxfDVq1dXUFCQtm/frqSkpDu6VsttZ0OHDrUGFUny8vLS0KFDJSnD28EaNWpkE1Skf26L27t3r83224OKJBUrVkzdunXT9evX7doDAAAAeVEoZlaktB+8P//8c4WGhurVV1+VlLYu5fjx4woKCrL+AH7w4EFJUuPGje36KF++vCpWrKgTJ04oLi5Onp6e2rNnjySpadOmOarj4MGD+v777xUZGanLly/bhZOrV6+qTJkyeb5OS/1BQUF2+yzXZGmT3sMPP2y3zRK0rl27ZrM9Ojpa3333ncLDw3Xu3DklJCTY7P/777/zVjwAAACQTqEJK127dtXXX3+tn3/+WcOGDZOTk5N1Yb3liWGSFBcXJ0kqVapUhv2ULl1aJ06c0I0bN+Tp6anr169LUo4eH7xz5069+OKLktLCTeXKleXh4SGTyaQ1a9bo0KFDSkxMvKPrjIuLk5OTU4ZPNStVqpScnJys15he+lkYC2dnZ0lSamqqdVtMTIx69Oihc+fOqUGDBnr00Ufl5eUlZ2dnHTx4UGFhYXd8DQAAAIBUiMJKiRIl1KpVK61atUoRERFq0KCBVqxYoeLFi6t9+/bWdp6enpKky5cvZ9iPZXuxYsUk/fND/sWLF7OtYcqUKUpMTNRPP/2kwMBAm31//vlnrq8pI56enkpNTdWVK1dUsmRJm33R0dFKTU21XmNeLFq0SOfOndNrr72mQYMG2ez77rvvFBYWlue+AQAAgPQKxZoVC8sMSmhoqH7//XfduHFDnTt3lru7u7WN5alb27Ztszv+4sWLOnPmjCpWrGj9gd/y9K7Nmzdne/7Tp0/Lx8fHLqjEx8fbPbpYkpyc0v55UlJScnJ5NvVv3brVbp/lmtKvxcmt06dPS5Jat25tt2/Hjh157hcAAAC4XaEKK82aNVPZsmW1evVqzZkzR5LtLWBS2lO4vLy8FBoaqqNHj1q3m81mffXVV0pKSlJISIh1e5s2bVSuXDktXbpUGzdutDtn+hkXf39/xcbG2vSbkpKizz//XFeuXLE71sfHx66P7Fhq++abb2xu94qLi9M333xj0yYv/P39JUmRkZE223/99Vdt2LAhz/0CAAAAtys0t4FJaWswQkJCNGXKFO3fv181a9ZUrVq1bNp4enrqo48+0uuvv66ePXvq8ccfV4kSJRQREaF9+/apbt26GjBggLW9m5ubxo0bpwEDBmjgwIF67LHH9NBDDykuLk4HDx5UQkKCfv75Z0nS888/r02bNunZZ5/V448/Ljc3N23btk0XL15U48aN7WZz6tevL3d3d82aNUtxcXHWdSgvv/xyptfYqFEj9enTR3PmzFHnzp3Vvn17mc1mrV69WufPn1efPn3UqFGjPI/hU089pWnTpunjjz/W1q1b5efnpyNHjmjLli1q3769Vq1alee+AcCR3GJPyvV6lJK8/CWf+o4uBwCgQhZWpLSZlKlTp8psNtu8sT69xx9/XKVLl9bUqVO1evVqxcfHy9/fX4MHD9bAgQNtXpAoSY888oiWLFmiqVOnatOmTYqIiFDx4sVVtWpV9erVy9quVatWmjBhgqZOnaqlS5fK3d1dwcHB+uabb6yzHun5+PhowoQJmjhxoubNm2d96lZWYUWS3nvvPdWsWVPz5s3T//73P0lStWrVNGzYsEyvOafKlSunuXPn6osvvlBERISSk5NVq1YtTZ8+XefPnyesAHA454SYXLV3unVNZXeMVdG/d1u3JZYP1I1Hhim1SPFc9ZXi7pOr9gCArJnMZrPZ0UXkh9DQUI0cOVKjR4/O8QsU4Xhbt27VCy+8oKFDh2rYsGEZttm+fbvc3Nzk6up6j6sr3Hx8fBQTE+PoMgqtgjb+puT4e3auags7Zd8oHbPJSXLzUkK795XqHyinqEi5rx4lJcbJZE7NvoN0/nr6t1y1z29ml4LxQt6C9vm/3zD+jlVYxj8pKUn16tXLtl2Bm1kZOXKkRo4cqSeeeEJjx451dDnIxNixYzVlyhRHlwHgHsltgLiXTOZUxbd7Xyk1OkqSUmp01C2zWe6/jch1X46+zqO91zr0/ACQ3wpMWKlZs6b1De1S2lvhYVzBwcFycfnn45fRSzgB4F5J9bd9SmNKhYYOqgQAkF6BCiuWx/bC+Jo0aaImTZo4ugwA98i9vD0qL7MbTlGR1pkVSXI+m7dHsTv6NjAAKGgKTFgBABjXvVxLcTwkNFfty2/+QEXCPlSi2ayUCg3lfHaH3NZ+pPgy9XS+6ahc9VVQ1owAgFEQVgAABUpun8h1rtn7Kr/lE3mkW6OSWCFY5xr/R6lFvPO5OgBAbhBWAACFWmoRb0W1GmPznhWPSvWVWgiexgMARkdYAQBAUqJ3ZSV6V5YkeTi2FADA/+fk6AIAAAAAICOEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEiEFQAAAACGRFgBAAAAYEguji4AyImUlBRHl1DoJCUlKSkpydFlFFqMv2Mx/o7F+DsW4+9YhWX8c/qzHWEFhufm5qbExEQCyz1269YtJSYmOrqMQovxdyzG37EYf8di/B2L8bdFWIHh+fv7KzU11dFlFDq+vr66evWqo8sotBh/x2L8HYvxdyzG37EYf1uEFRies7OznJ2dHV1GoePq6ipXV1dHl1FoMf6Oxfg7FuPvWIy/YzH+tlhgDwAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADImwAgAAAMCQCCsAAAAADMnF0QUAyNyJk2ZFRUn+/lKVyiZHlwMAAHBPEVYAB7saY7bbFnvNrC+/kv7c/c+2+vXMeuN1ybu4fWjx9SHIAACAgoewAuST+Hj70JETT3a1P87JSSpWTPrwfZPq1ZF275W++MqsF/pKqan27VevyNOpJUlFixJ0AACAMRFWgHzS7vG8hZWMpKZKb75uUuuWaUGidUvJbJZGfZDxOe7k3JvWE1YAAIAxscAeMKh6dWy/rl/XMXUAAAA4CjMrQD5ZvSJvMxSZzYrs3ps2o2Lx5578PzcAAICREVaAfJLXtR+//my/7f9GmfX1OLPM5rQZlT/3SGPHm1W/nvTRB/bnYd0JAAAoiAgrgINl9CSvjz+QPvjYbLNGpVFDadR7Jvnw5C8AAFBIEFYAA/LxMWnslybeswIAAAo1Ftjnk9DQUAUEBCg0NDRf+vvwww8VHBysGzdu5Et/d9PZs2cVEBCgt99+O8fH9OnTR08//bTM5vx7glZBVKWySc2amggqAACgUCKsGNCJEye0YMECDRgwQMWKFXN0OZLSwkVAQEC+9TdkyBDt2bNHv/32W771CQAAgIKFsGJAkyZNkpubm3r37u3oUu6a4OBg1apVSxMmTGB2BQAAABkirBjMlStXtGrVKrVt29Ywsyp3S5cuXXTq1ClFREQ4uhQAAAAYUIFaYL9y5UrNmTNHx44dU1xcnEqUKKFq1aqpd+/eatu2rbXdoUOH9P3332vbtm26cuWKfHx8FBAQoOeee06tW7eWJF2/fl3z5s1TeHi4Tp48qZiYGPn4+OjRRx/V0KFD9cADD+S4rjNnzmjKlCnavHmzLl++LB8fHzVr1kzDhg2Tv7+/TdvffvtNiYmJ6tixo10/EydO1KRJkzR79mydPXtWM2fO1KlTp1SqVCn17dtXL7zwgsxms2bPnq158+YpKipKfn5+GjRokLp27WrT14kTJ7Rw4UJFRETo3Llzunnzpvz8/NSuXTsNGjTIJiilv/0r/d9DQkL02Wef2V3rF198oYiICCUlJal+/fp6++239dBDD9ldz+OPP67Ro0dr8eLFevTRR3M8ngAAACgcCkxY+emnn/TBBx+odOnSateunXx8fHTp0iXt2bNHa9assYaV1atXa8SIETKbzWrVqpWqVKmi6Oho7dmzR4sWLbKGlWPHjmnChAkKCgpSu3btVLRoUR0/flzLli3Thg0bFBoaahc0MrJ79271799f8fHxatWqlR544AFFRUXp119/VXh4uBYsWKCKFSta21tmGerXr59pn7NmzdK2bdvUpk0bBQUFadWqVfrkk09UtGhRHTp0SL///rtatmyp4OBgLV++XP/5z39UoUIFNWzY0NrH6tWrtXjxYgUFBalx48ZKTU3V7t27NW3aNG3fvl1z586Vq6urJGno0KFasmSJoqKiNHToUGsfNWvWtKkrKipKTz/9tKpVq6bu3bvr9OnTCgsL0wsvvKDly5erVKlSNu3Lli0rPz8/bd26NdtxBAAAQOFTYMLKokWL5OrqqqVLl6pEiRI2+65evSpJio6O1ltvvSUXFxf9+OOPevjhh23aXbhwwfr3qlWratOmTfLx8bFp88cff6hfv3769ttv9fHHH2dZU1JSkoYPH67U1FQtXrzYZnZhx44deuGFF/TJJ59oypQp1u27du1S2bJlVbJkyUz7jYyM1JIlS6whp3///mrXrp0+//xzlSxZUr/++qt1DLp166ann35aP/zwg01Yeeqpp9S3b1+5ubnZ9D1p0iRNnDhRK1asUJcuXSRJw4YN07Zt2xQVFaVhw4ZlWte2bdv0+uuv6+WXX7ZuGzdunL799luFhobabLeoVauWVq9erTNnztiENgAAAKBArVlxdXWVi4t9/vL19ZUkLVmyRDdv3lS/fv3sgooklStXzvp3Ly8vu6AipS0Mr1atmrZs2ZJtPevXr1dUVJQGDBhgdxtUw4YN1aZNG23YsEFxcXGSpMTERF25csVuBuJ2ffr0sfnBvnz58goMDNT169c1aNAgm7BWt25dVaxYUYcPH7bpo2zZsnZBRZKef/55ScrTOpIKFSpowIABNtt69OghSdq7d2+Gx1hC2cWLF3N9PgAAABRsBWZmpWPHjvrqq6/UuXNnderUSY0bN1ZgYKCKFy9ubbNnzx5JUtOmTXPU59atWzVr1izt2bNHV69eVXJysnWf5RaprPz555+SpOPHj2vixIl2+y9duqTU1FSdOHFCderUUUxMjCTZ1JyR22+/kqTSpUtLUoZrQ0qXLm29dguz2azFixdryZIlOnr0qK5fv67U1FTr/r///jvLGjLy0EMPycnJNv9aAuC1a9cyPMYSCC2zXwAAAIBFgQkrAwcOlK+vr+bNm6cZM2Zo+vTpcnFxUfPmzfXOO++oYsWKun79uqS0WYXsrFixQsOHD5eHh4eaNWsmf39/FS1aVCaTybp+IzuxsbGSpF9//TXLdvHx8ZIkd3d3SVJCQkKW7T09Pe22WWaUMtuXPmhJ0scff6y5c+eqfPnyat26tUqXLm2daZk0aZISExOzrCEjXl5emdaVPgilZ7lWy7UDAAAAFgUmrJhMJj399NN6+umndfXqVUVGRmrZsmVasWKFTp06pV9//dX6w/TFixdVoUKFLPubNGmSihQpotDQUFWuXNlmX05fZGgJDlOmTFGrVq2ybV+8eHG5urpaQ87dEh0drR9//FEBAQFasGCBihYtat136dIlTZo06a6ePz3Ltd6+zggAAAAoUGtWLHx9fdW2bVuNGzdOwcHBOnbsmE6dOqW6detKkjZv3pxtH6dPn1bVqlXtgsrFixd15syZHNVhOZ/ldrCcqF69uqKiopSUlJTjY3LrzJkzMpvNevTRR22CipS28D8jltu7UlJS8rWWEydOyNXVVQ8++GC+9gsAAID7X4EJKxs3brS71SkpKcn6m3t3d3eFhITIw8NDM2bM0MGDB+36SL/I28/PT6dOndLly5et227duqX333/f7jyZadu2rfz8/DRjxgxt377dbn9SUpJdOGjUqJFu3bqlI0eO5OgceeHn5ycp7clj6W/PunDhgr766qsMj/H29ra2yS9JSUk6cOCAateubReaAAAAgAJzG9jw4cPl7u6uwMBA+fn5KTk5WVu2bNFff/2lJ554wvoD+pgxYzR8+HA9/fTTat26tapUqaKrV69q9+7d8vf31+TJkyWlPXHro48+UteuXdWxY0drf2azWQ899JAOHTqUbU1ubm4aP368Bg4cqOeff15NmjRR9erVJUnnz5/Xjh075OPjo99//916TNu2bTVr1ixt2bJFtWrVugsjJZUpU0YdOnTQypUr1b17dwUHBys6Olrr169XcHBwhjNHwcHBWrlypV599VW1aNFCRYoUUY0aNdSyZcs817Fjxw4lJiaqTZs2d3A19zdT9F9yijmtVJ8HZC5ZzdHlAAAAGEqBCSsjRozQxo0btXfvXq1bt05FixZVpUqV9OGHH6p79+7Wdu3atdPChQs1depUbd++XWvXrpWPj49q1qypnj17Wts999xzcnFx0dy5c/W///1PxYsXV4sWLTRixAi99tprOa6rbt26Wrp0qb7//nuFh4crMjJSbm5uKlu2rNq2batOnTrZtG/cuLEefPBBLV26VAMHDrzjccnM6NGj5e/vr5UrV2ru3Lny8/NT3759NXDgQK1cudKufc+ePRUVFaXly5drypQpSk5OVkhIyB2FlaVLl8rV1dXm36fAuHkl6/3xMXJfM0ouUf/MrCX7N1RC2w+koj4ZH+PBuh4AAFC4mMxms9nRRcDWggUL9N///lf/+9//VK9ePUeXc1dcu3ZNLVu2VIcOHTR69Ogs2zrkscZJN+/ocM+JgVnuN5ucJDcvJbR7X6n+gXKKipT76lFSYpxM5oyfnBY3LPKOasqQq0emu3x9fXmktAMx/o7F+DsW4+9YjL9jFabxt7wLMSsFZmalIOnRo4dmzZqlSZMmadq0aY4u566YOXOmUlNTczVLdS9lFzbulMmcqvh27yulRkdJUkqNjrplNsv9txH3tKa4EfZrtwAAAIyiwCywL0icnZ01evRo1atXTzdu3HB0OXdF8eLF9fnnn+fonTcFVaq/bfhIqdDQQZUAAAAYEzMrBlWvXr0CewuYJPXt29fRJWTpTm+5ysksiFNUpHVmRZKcz2b82Oj8qgkAAOB+Q1gBMpLFWo6ciPt31u/ycf/1VRUJ+0iJZrNSKjSU89kdclv7sZIrNFJC53F3pSYAAID7DWEFuBuyeXJXQpcJcl/+hs0aleRKjyrhiS+lotkvNgMAACgMCCuAIxT1VUL3H3jPCgAAQBYIK4ADmUtWUwohBQAAIEM8DQwAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABgSYQUAAACAIRFWAAAAABiSyWw2mx1dBAAAAADcjpkVAAAAAIZEWAEAAABgSIQVAAAAAIZEWAEAAABgSIQVAAAAAIZEWAEAAABgSC6OLgDA3bdnzx5NnDhRf/75p5KSklStWjW9+OKLevLJJ3PcR2pqqn766SctWLBAp06dkoeHh4KCgjR8+HBVrlz57hVfANzp+G/dulUvvPBCpvsXLFig+vXr51O1Bcsvv/yiyMhI7du3T0eOHFFSUpJGjx6tbt265aofPv95lx//BnwP5M3Fixe1YsUKhYeH6/jx47p8+bK8vb3VoEEDDRgwQPXq1ctxX3wP5F5+jX9h//wTVoACbuvWrerfv79cXV3VqVMneXl5adWqVXrjjTcUFRWlf//73znqZ9SoUfrf//6natWq6fnnn1d0dLSWL1+uzZs3a/78+apWrdpdvpL7U36NvyQ1btxYjRs3ttterly5/Cy5QBk/fryioqLk6+urMmXKKCoqKk/98PnPu/z6N5D4HsitOXPmaNq0aXrggQf06KOPqmTJkjp16pTWrFmjNWvW6KuvvtITTzyRo774Hsi9/Bx/qRB//s0ACqykpCRz27ZtzbVr1zbv37/fuv369evmTp06mR9++GHziRMnsu0nIiLCXKNGDfOzzz5rvnXrlnX7li1bzAEBAebnnnvubpR/38uv8f/jjz/MNWrUME+YMOEuVlswbd682Xz27Fmz2Ww2T5061VyjRg3z4sWLc9UHn/87kx//BnwP5M3KlSvN27dvt9u+fft2c61atcyNGze2+Uxnhu+BvMmv8S/sn3/WrAAF2B9//KHTp0+rc+fOevjhh63bPT09NXjwYCUnJys0NDTbfhYuXChJeu211+Tm5mbd3qRJEzVr1kzbt2/XiRMn8v8C7nP5Nf7Iu0cffVT+/v531Aef/zuTH/8GyJv27durYcOGdtsbNmyooKAgxcTE6PDhw9n2w/dA3uTX+Bd2hBWgANu2bZskqVmzZnb7mjZtatMmK1u3bpWHh4caNGhgt8/S9/bt2++k1AIpv8bf4uTJk5o9e7a+++47LVu2TFeuXMmfQpElPv/GwfdA/nFxcbH536zwPZD/cjP+FoX188+aFaAAO3nypCSpUqVKdvu8vb3l6+urU6dOZdnHzZs3denSJdWoUUPOzs52+y0LKy3nwj/yY/zTW7ZsmZYtW2b92t3dXcOGDdOAAQPuuFZkjM+/sfA9kD/OnTunLVu2qHTp0qpRo0aWbfkeyH+5Gf/0Cuvnn7ACFGBxcXGSJC8vrwz3e3p66sKFC1n2cf36dWvbzPpIfy78Iz/GX5JKlCiht956Sy1btpSfn5+uXbumrVu36ssvv9QXX3whT09P9erVK19rRxo+/8bA90D+SUpK0ltvvaXExES98cYbGQaQ9PgeyF+5HX+Jzz9hBQAMrnr16qpevbr166JFi6pLly566KGH1K1bN02cOFE9e/aUkxN39qJg4nsgf6Smpuqdd97R9u3b1bNnT3Xt2tXRJRUqeR3/wv75L5hXBUDSP7/xsvxm7HZxcXGZ/tbfwrI/s9+aWbZn9lu3wiw/xj8rNWrUUL169XT58uVc3U6GnOPzb2x8D+Sc2WzWe++9p6VLl6pLly764IMPcnQc3wP5I6/jn5XC8vknrAAFmOVe4oz+IxYbG6urV69muJ4iPQ8PD5UuXVpnz55VSkqK3X7Lfcq8FMxefox/dnx9fSVJCQkJd9QPMsbn3/j4Hsie5Tf6ixcvVufOnfXZZ5/l+LfwfA/cuTsZ/+wUhs8/YQUowBo1aiRJ2rRpk92+zZs3S1KGL5i6XePGjXXz5k3t3LnTbp+lb8u58I/8Gv/MJCcn68CBAzKZTCpfvnye+0HW+PwbF98D2UtNTdW7776r0NBQPfHEExozZkyO1kmkx/dA3uXH+GemsHz+CStAAdakSRNVrFhRy5Yt08GDB63b4+LiNHnyZLm4uCgkJMS6/cqVKzp27Jjd4xB79uwpSRo3bpwSExOt2yMiIrRp0yY1atRIVapUuctXc//Jr/HftWuXzGazzbbk5GSNGTNGUVFRatasmXx8fO7qtRQGfP4dj++B/JX+B+WOHTvqiy++yPIHZb4H8ld+jX9h//ybzLdfPYAC5Y8//tCAAQPk6uqqzp07y9PTU6tWrdLZs2f12muvadCgQda2EydO1KRJkzR06FANGzbMpp/33ntPCxcuVLVq1dSiRQtFR0dr+fLlKlKkiObPn69q1ard60u7L+TH+Ldu3VqS9Mgjj6hs2bK6fv269SVsfn5+mjt3Li/dy8TChQsVGRkpSTpy5Ij279+vBg0aWG+/a9u2rdq2bSuJz//dkh//BnwP5I1lPD08PPTCCy9k+E6Ptm3bqmbNmjbt+R7IH/k1/oX988/TwIACLjg4WD/99JMmTJigFStWKCkpSdWqVdOrr76qLl265LifDz/8UAEBAVqwYIHmzJkjDw8PtWrVSsOHD+c3alnIj/Hv1auXNm7cqG3btunq1atycXHRAw88oH//+9966aWX5O3tfZev4v4VGRmpJUuW2GzbuXOn9XYWf39/6w/KWeHzn3f58W/A90DeREVFSUp7V8qUKVMybOPv72/9YTkrfA/kXn6Nf2H//DOzAgAAAMCQWLMCAAAAwJAIKwAAAAAMibACAAAAwJAIKwAAAAAMibACAAAAwJAIKwAAAAAMibACAAAAwJAIKwAAAAAMibACAAAAwJAIKwAAAAAMibACAAAAwJAIKwAAAAAM6f8BqS1yWegm06EAAAAASUVORK5CYII=",
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",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]
@@ -1110,7 +1080,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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",
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",
       "text/plain": [
        "<Figure size 800x400 with 1 Axes>"
       ]
@@ -1185,7 +1155,7 @@
    "outputs": [
     {
      "data": {
-      "image/png": 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xxBMpY9QPRqJwzbp16w65cF6i8N/ixYuT0/YkKt3v7bvf/S4ul4s//OEP3H///V1urvbs2cNDDz3EE088cUhtEUIIITpLXOc2bNhAW1tbl/Vut5vvfOc7gL5Gvfbaa13G3W/ZsoXf/va3vP/++z167+OOOw7QgfI777yTXL5nzx6+853vEIvFut3vi1/8IiNHjmTr1q3cdNNNXQrvrVmzJjnMb+/PuWrVqh61ce7cuRx11FGEw2G+//3vpwz1W7FiBffccw8A11577WFn8wkxnMiYeSEGsLfffpuqqircbjdnn332fredNGkS06dPZ+PGjSxevJjrrruOO++8k2uvvZZnn32WV199lfHjx1NRUUFVVRX/+Z//yW9/+9suxzEMgzvvvJMrrriC5cuXM3/+fCZNmkRdXR1lZWVcdtllvPnmm8m0voNx8sknk5GRwfvvv89pp53G6NGjcTgcnHLKKVx33XUHdYyTTjqJrKwsPvnkE0BX2586dWq3206bNo3f//73/Od//id33XUX99xzDxMmTEim3ydS+fZV7V4IIYToiRkzZjBu3DiKi4s57bTTGD9+PE6nk6lTp3LLLbcAemrX8vJy7r//fr797W+TmZnJ6NGjsW2bsrKy5NCwznPQH4yZM2dy1lln8a9//YurrrqKsWPH4vP52Lp1K263mx/84Af8+te/7rJfIBDgvvvu45prruHf//43p512GhMnTsThcLBr1y6ampq46KKLUjoTzjnnHP7973/z3//93zz++ONkZmYC8JOf/IRp06bts42GYXDXXXfxta99jVWrVnHaaacxefJkmpubKSkpAfTUe1/+8pd79NmFGO6kZ16IASyRMv/Zz372oKrNJi64if3mzp3LU089xWc/+1kMw2Dbtm0UFBTw+9//nmuuuWafx5k8eTLPPPMMCxcuxOPxsHXrVvx+Pz/72c/4+c9/3uPPEQgEePDBB5k/fz6RSIT169ezatWqfY7L747D4Uh5oLH3FH17O+OMM1iyZAlf+9rXGDlyJDt27ODTTz/F4/Fwxhln8Jvf/OagHyQIIYQQ+2OaJn/6058466yzsCyLDz/8kFWrVnUZr/6DH/yAJ554goULF+L1etm8eTNlZWXk5+dzySWXcP/993PiiSf2+P1/97vfccMNNzBy5Eh2795NdXU1Z511Fs8888w+H3wDTJ06lcWLF3P99dczceJEdu3aRWlpKXl5eXzlK1/hyiuvTNn+wgsv5JZbbmHKlCmUlpayatUqVq1aRWNj4wHbOHbsWJ577jm+8Y1vMGLECLZu3UpNTQ3HH388d955J7/5zW+kV16IHjJUT+fWEEIIIYQQQgghRL+SnnkhhBBCCCGEEGKQ6dGY+crKSl5++WWWL1/O9u3bqa6uJiMjg2OOOYZrrrmG2bNnp2y/aNGiZEGLvblcLjZs2HDoLRdCCCGEEEIIIYapHgXzjzzyCH/+858ZM2YM8+bNIzs7m5KSEpYuXcrSpUu56667OPfcc7vsd9FFFzFy5MiUZZZlHV7LhRBCCCGEEEKIYapHwfysWbN47LHHklNgJKxZs4Yrr7ySW2+9lQULFuByuVLWX3TRRT2uzCmEEEIIIYQQQoju9WjM/JlnntklkAc9v+UJJ5xAfX19ctooIYQQQgghhBBC9I1em2fe4XCkfO1szZo1fPjhh1iWxYQJE5g3b16X3nshhBBCCCGEEEIcnF4J5nfv3s0777xDbm4uRUVFXdbffffdKd/n5ubym9/8hpNOOqk33l4IIYQQQgghhBhWDnue+UgkwlVXXcXq1av5zW9+w4UXXphct3TpUpqbmzn++OPJycmhoqKCJUuW8Kc//QmlFE899RRTp07d7/Ft28Y0ZQY9IYQQYiCQ67IQQggxMBxWMG/bNv/v//0/XnjhBb74xS/yy1/+8qD2e+qpp/jZz37GWWed1aXXfm91dXWH2rykYDDYK8cR3ZPz27fk/PYtOb99S85v3+qN8xsMBnu0vVyXBz45v31Lzm/fkvPbt+T89q0jfV0+5EfrSil++tOf8sILL3DBBRdw6623HvS+F154IQ6Hg7Vr1x7q2wshhBBCCCGEEMPWIQXztm3zk5/8hH/84x8sXLiQO+64o0cpdy6XC7/fTygUOpS3F0IIIYQQQgghhrUeB/O2bXPLLbfw7LPPcu6553LnnXdiWVaPjlFcXExDQwMjR47s6dsLIYQQQgghhBDDXo+C+c6B/Nlnn81vf/vbfQbyzc3NbN68ucvyhoYGbrnlFgDOO++8Q2iyEEIIIYacw6vHK4QQQgw7PZqa7t577+XZZ5/F5/Mxbtw4/vCHP3TZZsGCBUybNo36+no+//nPM3PmTIqKisjOzqayspLly5dTX1/PSSedxJVXXtlbn0MIIYQQg5hz7UPYwfHEJpza300RQgghBoUeBfNlZWUAtLa28sc//rHbbUaOHMm0adPIzMzk8ssvZ/369bzxxhs0NTXh9XopKiriggsu4NJLL+1xer4QQgghhiajqRKrqYLYmLngcPd3c4QQQogBr0fB/B133MEdd9xxUNsGAgF+/vOfH1KjhBBCCDH8mA1lWKUriY2fD4bR380RQgghBrRDnppOCCGEEKK3KJcPIi04Ni/BKn1HxtALIYQQB9CjnnkhhBBCiL6iAvlgWDg+fh4UxMbOkx56IYQQYh+kZ14IIYQQA4ZKKwDLhWPjP7GKV0gPvRBCCLEPEswLIYQQYkBRaQXg8ODY+DzWjjcloBdCCCG6IcG8EEIIIQYcFcgHpw/HpsVY296QgF4IIYTYiwTzQgghhBiQVCAPXAEcn7yItW0ZKLu/mySEEEIMGFIATwghhBADlvLnYmDg2LwE7CixyWeCIX0RQgghhATzQgghhBjQlD8HDBPHllcw7BjRorPBtPq7WUIIIUS/kmBeCCGEEAOfLwtlGFhbXwU7SnTqeWDKbYwQQojhS/LUhBBCDDm/+MUvmDt3Lrt37+7vpgDw4osvMnfuXF588cX+bsrg5g2i/HlY217HsfF5iIX7u0VCCCFEv5FgXgghxCG79dZbmTt3Lueeey7RaLS/myOGA08GKpCPtf3fOD56DqLt/d0iIYQQol9IfpoQQohD0tLSwhtvvIFhGNTW1vLOO+8wf/78/m7WgHTaaacxc+ZMcnJy+rspQ4M7HYWJVbIC7AjRmZeA09vfrRJCCCGOKOmZF0IIcUheffVVQqEQl112GYZh8MILL/R3kwasQCDAuHHjCAQC/d2UocMdQKWPxipdifODv0O4pb9bJIQQQhxR0jMvhBDikCxevBin08nXvvY1PvroI959912qq6u77X1evnw5//jHP9i0aROhUIisrCzmzJnDV7/6VSZOnAhAaWkpzz//PKtXr6aiooJQKER+fj6nnXYaV111FT6fr8txt2/fzr333su6deswDINZs2bx7W9/e7/tXr58OU899RSffPIJ7e3tjBo1ivPOO48vf/nLWFZHhfQXX3yR2267jZ/+9KdkZGTw17/+lW3btpGens7ChQu59tprMU2TV155hccff5ySkhIyMzP54he/yOWXX57ynp2PtXDhwpR1u3fv5pFHHmHlypVUV1cnA//zzjuvy7ZiLy4fKnMcVtlaiEWIzP4SeDL6u1VCCCHEESHBvBBCiB779NNP2bhxI6eeeioZGRmcc845fPDBB7z00kt87WtfS9l20aJFPPbYY6Snp3PqqacSDAaprKxk9erVTJ06NRnM//vf/2bx4sUce+yxHHPMMSil+Oijj3jkkUdYt24df/zjH3E4Oi5b27Zt47rrrqOtrY3TTjuN0aNH8/HHH3PdddcxefLkbtv9hz/8gYceeoi8vDxOO+00/H4/69evZ9GiRXz88cf8+te/7rLPm2++yapVq5g/fz6zZs3inXfe4a9//StKKdLS0vjLX/7C/PnzmTNnDm+88QaLFi0iOzubs88++4DnccOGDXzve9+jpaWFE044gTPOOIOmpiY++eQTnnrqKQnmD4bTgx0ch1m5Aee6CNHZX0b5svu7VUIIIUSfk2BeCCF6yev/Vjz4F0Vra3+3pHs+H1zzDYPPnmYc9rEWL14MwDnnnAPAggUL+J//+R8WL16cEsy/+eabPPbYY0ycOJH77ruPjIyOXtNoNEpDQ0Py+7PPPpuvfOUrOJ3OlPd68MEH+fOf/8zSpUtTAuTf/e53tLS08N///d8pyxMB+97ee+89HnroIU488URuv/12PB4PAEop7rzzTp577jlef/11Tj/99JT93n33Xe6//36mT58OwLXXXssXvvAF/v73v+P3+3n44YcZOXIkAJdffjlf+MIXePTRRw8YzIfDYX7605/S2trK73//e0488cSU9Xv27Nnv/qIThxsVHI9ZtRnn2keIzP4KKi2/v1slhBBC9CkZMy+EEL3kib8rSkqhqnpgvkpK4fEn1WF/zkgkwiuvvEJ6ejonnXQSoMeEn3LKKezcuZN169Ylt33ssccA+P73v58SyAM4HA6yszt6UPPy8roE8gBf+MIXAFi9enVyWUVFBevWrWPSpEldguavf/3rpKWldTnOM888A8CPfvSjZCAPYBgGN954I4Zh8Nprr3XZ76yzzkoG8gB+v5+TTz6ZUCjExRdfnAzkAfLz85k9ezY7duw4YHX/t956i8rKSs4+++wugTzo8yF6wHKhsiZi1G7Hue5hjPqd/d0iIYQQok9Jz7wQQvSSy75s8MAA75m/7EuH3yv/5ptv0tDQwEUXXZQSfJ977rksXbqUxYsXc/TRRwPw4Ycf4nK5kt/vj1KKF198kSVLlrB9+3aam5uxbTu5vrq6OvnvrVu3AjB79uwux/H5fEyePJm1a9emLP/oo4/wer37LNTndrspKSnpsryoqKjLssRDiO7S+bOzs4nFYtTW1u43IN+4cSMAn/nMZ/a5jegh06ED+rodONc9TGTWl1HZE/u7VUIIIUSfkGBeCCF6yWdP650U9oHuxRdfBDpS7BNOOOEEsrOzef311/nBD36A3++nqamJnJwcTPPAiWB33XUXzzzzDPn5+Zx88snk5OQkHxY8+OCDhMPh5LbNzc0ABIPBbo+VlZXVZVljYyOxWIwHH3xwn21oa2vrsszv93dZliiUt791B+qZb2pqAiA3N3e/24keMi1U1oR4QP8o0aO+gJ0/o79bJYQQQvQ6CeaFEEIctMrKSlatWgXAddddt8/tXnvtNS688ELS0tKora3Ftu39BvS1tbX84x//YNKkSTzwwAMpafA1NTVdAvDEFG91dXX7PN7e/H4/hmHwr3/9a98f8AhKDAWoqqrq55YMQYaJCk7AaCjFuf5xIjMuwh55LBhD/2GbEEKI4UOCeSGEEAftxRdfxLZtZs+ezZgxY7qsj0ajvPzyy7zwwgtceOGFzJo1izfffJN169Zx7LHH7vO4u3fvRinF8ccfnxLIA6xfv77L9on09g8++KDLutbW1mQafmczZszg3XffpbS0tNu2H2mJcfirVq06qMr3oocMA5UxBqNxN84NTxONtBEbd7IE9EIIIYYMCeaFEEIclMSYdsMw+K//+i9GjBjR7Xbbtm1j48aNbNu2jcsvv5w333yT3//+9/usZp+dnU1BQQGgp2rr3Iu/Z88e7rvvvi7vUVBQwNFHH826det45ZVXUoLhhx56KJnC3tkXv/hF3n33XX71q19x5513dinIV1NTQ2NjI+PHj+/5yTkEp5xyCnl5ebzyyiuceeaZzJ07N2X9nj17pAje4TIMVMZIjOZKHBv/CZEWYpPOANPq75YJIYQQh02CeSGEEAdl9erVlJeXc+yxx+4zkAdYuHAhv//971m8eDG33norl19+OY899hiXXnopp556KllZWVRVVbF69Wouv/xyvvzlL5OTk8NnP/tZ3njjDa688kqOP/54amtrefvttzn22GMpKyvr8j4333wz1113Hb/4xS9Yvnw5o0ePZuPGjWzcuJE5c+Z06dE/8cQT+cY3vsFf/vIXvvCFLzB37lwKCgpoaGhg165dfPDBB1x//fVHLJh3uVz86le/4j/+4z/43ve+x9y5c5k8eTItLS1s2bKF9vZ2Hn744SPSlqFOBfIxWmtwfPIKRriV6NSF4HD1d7OEEEKIwyJT0wkhhDgoibnlFy5cuN/tzjrrLJxOJ6+88grhcJibbrqJ22+/ncmTJ/PGG2/wxBNPsG7dOo477riUSu4/+9nPuOyyy2hqauLpp5/mo48+4stf/jK//OUvu32fiRMncv/99zN37lxWrlzJ008/jcPh4P7779/nw4brrruOu+++m9mzZ7NmzRqeeOIJ3n77bSKRCFdffTVnnXXWIZ6dQ3PUUUfx0EMPsXDhQrZt28bjjz/O66+/jtPp5Ctf+coRbctQp3zZKH8e1vY3cGx4GsIt/d0kIYQQ4rAYSqnDn3S4D+2ruFFPBIPBXjmO6J6c374l57dvyfntW3J++1ZvnN99zQiwL311XXa+swizcTcqfeRhH3+/wi2YjTuJFcwhctQXwJvZt+/XD+T3rm/J+e1bcn77lpzfvnWkr8vSMy+EEEKI4cPlx84cj1n+Aa61D2M0VfZ3i4QQQohDIsG8EEIIIYYXh1vPRV/zKc61f8Oo29HfLRJCCCF6TIJ5IYQQQgw/lhOVNRGjqRzn+w9jVnzU3y0SQgghekSCeSGEEEIMT6aFCk7ECDfjXP84Vum7MLBLCQkhhBBJEswLIYQQYvgyDFTGGDAMHBuewdr6L7Cj/d0qIYQQ4oAkmBdCCCHE8GYYqLRCcKfj+OQVHB89C5FQf7dKCCGE2C9HfzdACCGEEGIgUL5ssFxYxW9htDcRmXnJkJy6TgghxNAgwbwQQgghRII7DWWNxSxfjyvcTOSoS1HpI/q7VUIIIUQXkmYvhBBCCNGZw4MKTsCo2Ybz/b9hVm/p7xYJIYQQXUgwL4QQQgixN8uJyp6E0VKNc+3DmDtXSaV7IYQQA4oE80IIIYQQ3TFMVHA82DbOD5+SSvdCCCEGFAnmhRBCCCH2xTD0mHl3Go5PXsax4RkIt/R3q4QQQggpgCeEEEIIcSDKlw0ON46SFRiheqIzv4Dy5/R3s4QQQgxj0jMvhBBC9IJvfetbzJ07t7+bIfqSK4CdOR6z8mOca/6KUbu9v1skhBBiGJOeeSGEEIdky5YtPPfcc6xbt449e/YQDofJyMhg4sSJzJs3j3POOYdgMNjfzRSidzncqKxJGPXFON9/iOi087FHHguG0d8tE0IIMcxIMC+EEKJHbNvmnnvu4fHHH8eyLI4++mhOOOEEPB4PtbW1bNiwgf/93//l/vvvZ9myZRgS5IihxrT01HWNZTg/+DvR1mpiEz8HlrO/WyaEEGIYkWBeCCFEj/zxj3/k8ccfZ9q0afzyl79k1KhRXbbZuHEj99xzD+FwGLfb3Q+tFKKPGQYqYxRGaw2OT17GaKkhOv3z4A70d8uEEEIMExLMCyGEOGilpaU89thjBINB/ud//ofMzMxut5s+fTr33nsvGRkZNDY2Jpdv3bqVhx56iHXr1tHQ0EBOTg4nn3wy1157LRkZGcntdu/ezcUXX8y5557L1VdfzT333MOaNWuIRCLMnDmT7373u0yePLnL+9bW1vLwww+zYsUKKisr8fl8HH300Vx77bVMnDgxZdsLL7wQgEceeYT777+fN998k5qaGn784x+zcOFCNm/ezIsvvsjatWuprKwkGo0yatQozjrrLC677DIcDrmEikRhPA+O0pUYbbVEZ16iq98LIYQQfUzuRIQQQhy0JUuWEIvFuOiii/YZyCcYhoFlWcnvly9fzk9/+lNM0+SUU04hLy+P4uJinnnmGd577z0efPBB0tPTU45RXl7O1Vdfzfjx41m4cCFlZWUsX76cG2+8kSeeeILs7Ozktrt27eKGG26gqqqKE044gfnz51NXV8cbb7zBe++9x6JFi5g5c2bK8SORCDfeeCOtra2cfPLJOJ1OsrKyAHj++edZsWIFc+bM4cQTT6S9vZ21a9dy3333sXHjRu64447DPJtiyHD5sbMmYFZvxfn+X4lOvxA7f0Z/t0oIIcQQJ8G8EEL0EmvLK7jfWTRw56B2+Wmf9x1iRWcd8iE++ugjAI499tge7dfQ0MCtt95KZmYm999/PwUFBcl1r776Kj//+c+5//77ufnmm1P2W7duHTfccANf+9rXksv+9Kc/8de//pUlS5akLL/11lupqanhf//3fznhhBOSy6+66iquvPJKbr/9dh577LGU49fU1DBp0iTuv/9+PB5Pyrqvfe1r3HzzzSkPJJRS/PrXv2bx4sV88MEHzJ49u0fnQQxhlhOVPQmjYSfOtY8QnXwmsQnzwZRbLSGEEH1DrjBCCNFLXKv/gjnAp6pyrfkLbYcRzNfU1ACQk9N1fu01a9awbt26lGWnn346EydO5KWXXqKlpYWbb745JZAHOPPMM3nsscdYunRpl2B+xIgRXHHFFSnLzj//fP7617+ycePG5LJPPvmEDRs2cP7556cE8gBjxozh85//PE888QTbtm3rkm7/7W9/u0sgD1BYWNhlmWEYXHLJJSxevJjVq1dLMC9SGSYqcyxGSxWOTS9gtOwhOu18cPn7u2VCCCGGIAnmhRCil4SPvxr3O3cP6J758HHfOKxDKKX2uW7NmjX87W9/S1mWmZnJxIkTkz36H3/8Mbt27eqybzgcpr6+nvr6+pT0/cmTJ2OaZsq2eXl5ADQ3NyeXJY5fW1vLn//85y7HLykpSX7tHMy73W4mTZrU7eeJRCI8/fTTLF26lOLiYtra2lI+f3V1dbf7CaH8ueDw4ihegdFSTXTmxTKOXgghRK+TYF4IIXpJrOgsWg+j13swyMrKoqSkhKqqKsaOHZuy7pvf/Cbf/OY3AXjxxRe57bbbkusSRfCeeeaZ/R6/ra0tJZj3+7v2aCYKz8VisS7Hf/vtt3n77bf3e/zOgsHgPqfO+/GPf8yKFSsYM2YMCxYsIBgM4nA4aG5u5sknnyQcDu/3s4hhzh2Ij6PfgnPNg0SnfR674CiZj14IIUSv6VEwX1lZycsvv8zy5cvZvn071dXVZGRkcMwxx3DNNdd0m27Y3NzMokWLePXVV6mqqiI3N5czzzyTm266iUBApm8RQojBZNasWaxbt47333+f44477qD3SwTljz32WJc0996QOP4PfvADLr300sM+3saNG1mxYgVz587lrrvuShk3/9FHH/Hkk08e9nuIYcBydYyjX/8o0YmfIzbxs2C5+rtlQgghhgDzwJt0eOSRR7j99tvZuXMn8+bN46qrruLYY49l2bJlfPnLX+all15K2b61tZUrrriCv/3tb4wfP54rr7ySiRMn8re//Y0rrriC1tbWXv0wQggh+ta5556LaZr885//pL6+/qD3mzFDV/besGFDn7Srt49fVlYGwLx581ICeYD169f3ynuIYSI+jh6nH8fml3B88AS01fd3q4QQQgwBPQrmZ82axWOPPcZrr73Gr3/9a37wgx9w99138/DDD2NZFrfeemtK2uEDDzzApk2buOaaa/jLX/7CzTffzAMPPMCNN97Ipk2beOCBB3r9AwkhhOg7Y8eO5Stf+Qp1dXV873vf63b8O6SOZwdYuHAhPp+PP/3pT2zf3rVIYCgUSo57PxQzZsxgxowZvPbaa7z22mtd1tu2zdq1aw/6eIkifR988EHK8u3bt/Pwww8fcjvF8KV82aiMkVi71uBa8xeM2h393SQhhBCDXI/S7M8888xulx933HGccMIJrFixgk8++YSjjjoKpRRPP/00Pp+PG2+8MWX766+/nkcffZRnnnmGm266aZ/jFYUQQgw8N9xwA9FolCeffJIvfelLHH300UyaNAm3201dXR1bt25l06ZN+P1+pkyZAuix6b/85S/5yU9+wle/+lXmzp3L2LFjCYfDlJeXs27dOmbNmsX//u//HnK7fvnLX3LDDTfws5/9jCeffJKpU6ficrmorKxkw4YN1NfXs3z58oM61vTp05k+fTrLli2jpqaGGTNmUFlZyVtvvcVJJ53E66+/fsjtFMOY04fKmohRX4xrzV+IFp1NbMxcMK0D7yuEEELspdcK4CUKEiW+FhcXs2fPHk4++WR8Pl/Ktm63m+OOO45ly5ZRUlLCuHHjeqsZQggh+phlWXzve9/jnHPO4dlnn2X9+vV8/PHHRCIR0tPTmThxIt/97nc555xzGD9+PHV1dQCcdNJJPPzwwzz66KOsXr2aVatW4fV6yc3NZeHChZx99tmH1a4RI0bw8MMP88QTT7B8+XIWL16MZVlkZ2czZ84cTj/99B59xrvuuov77ruPlStXsmnTJkaNGsVNN93EvHnzJJgXh850oIITMZorcXz0NEZ9KdGp54Ino79bJoQQYpDplWB+9+7dvPPOO+Tm5lJUVAR0TAO0r0A9UQVZgnkhhBicpk6dyk9+8pMe7TN27FhuueWWA243YsQIVq5cuc/1+1qXnp7O9ddfz/XXX3/A9/jnP/+53/XBYHCfbe3u/f/whz8c8D2FAMAwUGkFEG7GUfo2ZmMZ0WnnY+cUSbV7IYQQB+2wg/lIJMIPf/hDwuEwN998c7JQUFNTE8A+K9Ynlie225eMjIwucwwfimAweNjHEPsm57dvyfntW3J++5ac3751pM9vX12XYx4PKuTC8HoO+9iDhteDSsuE2mLcGx7DKDoDc+qZGM7DPwfye9e35Pz2LTm/fUvOb986kuf3sIJ527b5yU9+wurVq/niF7/IhRde2EvN6tDQ0HDYxwgGg8k0T9H75Pz2LTm/fUvOb9+S89u3euP89vSmo6+uy85QCDMcRrWFDvv4g45/FEZrDax9CnvXR0SnXYDKGHnIh5Pfu74l57dvyfntW3J++9aRvi4fcjCvlOKnP/0pL7zwAhdccAG33npryvq0tDSga0XjhMTyxHZCCCGEEMOV8mWDK4C5ZxPO5kpik88kNvoEKY4nhBBinw4pTy7RI/+Pf/yDhQsXcscdd3RJuUuMiS8uLu72GIkx9YnthBBCCCGGNYcblT0ZIxrGseEpPSd9a21/t0oIIcQA1eNg3rZtbrnlFp599lnOPfdc7rzzzuQ4+c7GjRtHXl4ea9eupbW1NWVde3s7a9asIS8vT4J5IYQQQogEw0Clj0AFCrFK38O16n7M8g9Bqf5umRBCiAGmR8F850D+7LPP5re//W23gTyAYRhceumltLa2cu+996as+9Of/kRDQwOXXnqpzDEvhBBCCLE3lx+VPQmjtQbnukdwbPwnhFv6u1VCCCEGkB6Nmb/33nt59tln8fl8jBs3rttpeBYsWMC0adMAuOaaa3j99dd54IEH2LRpEzNmzGDz5s0sX76cadOmcc011/TOpxBCCCGEGGpMC5U5FkL1OLYtw6wrITJtISp7Un+3TAghxADQo2C+rKwMgNbWVv74xz92u83IkSOTwbzP5+ORRx7hnnvu4V//+herVq0iJyeHK6+8km9/+9v4fL7DbL4QQgghxBDnycR2+jHqi3Gt/gvRiZ8lNv5UcLj6u2VCCCH6UY+C+TvuuIM77rijR2+QlpbGj3/8Y3784x/3aD8hhBBCCBFnOVHBiRit1Tg2Lcas3U502kJU+qFPYSeEEGJwO6x55oUQQgghxBFiGCh/LrjTMCs/xtlULlPYCSHEMHZIU9MJIYQQQoh+4vB0ncKura6/WyWEEOIIG7498+1N4PSCOXxPgRBCCCEGqfgUdoRbsErfw2woIzr1POz8Gf3dMiGEEEfIsO2Zd636M653FkFrbX83RQghRD/avXs3c+fO5Re/+EV/N2W//vznPzN37lzef//9/m6KGEiSU9hV4Vz7MI7NL6JkCjshhBgWhm0wT7Qds/Jj3G//L44Nz2BWbwU71t+tEkKIAetnP/sZc+fO5bXXXtvvdg0NDZxyyimcddZZhMPhI9S6/bvwwgu58MIL+7sZQvQN00JljkO507C2vor91r0YdTv6u1VCCCH62PDNMXe4UL5cMCysHcuxSleiMscQG3UcsfwZ4Mno7xYKIcSAcv755/Paa6/x4osvcsYZZ+xzu1deeYVIJMI555yDy+WipWVg9xLm5eXx97//nUAg0N9NEeLweIMolx9VtRVXVTHRiacTG3eKTGEnhBBD1PAN5kGPN/Nlgy8bIq0Y9aU4aj7F8mVhF8wiVjgbFRwnFWKFEAI4/vjjKSwsZPXq1VRWVpKfn9/tdi+++CKgg//BwOFwMG7cuP5uhhC9w3JB7mSo2YVj4/OY1VuITjsflTGqv1smhBCilw3vYL4zp08H7nYMo60Wa/u/sUrfxc4cgz3qOGJ506W3XggxrBmGwcKFC/nzn//MkiVL+MY3vtFlm82bN7N161amT5/OxIkTaWtr489//jNLly6lvLwcj8fDzJkzufLKK5k1a1aX/ZVSvPTSSyxevJhPP/2USCRCbm4uxx9/PF//+tcpKChIvs+LL77I2rVrqaysJBqNMmrUKM466ywuu+wyHA59edu9ezcXX3xx8vhz585N/vvqq6/m2muvTW5z7rnn8vOf/zylPRUVFTz44IOsXLmSuro6gsEgc+fO5ZprrunyMONb3/oW69atY8WKFTz88MMsXryY6upqCgoK+NKXvsQXvvCFlO2rqqr45z//ycqVK9m9ezfNzc1kZ2czb948rrnmGrKysnr4PySEZiSnsEvH3LMJV2M50ckLiI05ESxnfzdPCCFEL5Fgfm+mpS+A/lwIt2DWlWBWb8HyZcd762ehguOlt14IMSwtXLiQBx98kJdeeomrrroKwzBS1id65S+44ALC4TDf/OY3Wb9+PVOmTOFLX/oSdXV1LF26lPfee4/bbruNz372s8l9lVL87Gc/Y+nSpeTm5nLGGWfg9/spLy9n6dKlzJ07NxnMP//886xYsYI5c+Zw4okn0t7eztq1a7nvvvvYuHEjd9xxBwBpaWlcffXVPPnkkwB86UtfSr7fMcccs9/PWlpayvXXX09dXR0nn3wyEyZMYPv27SxevJgVK1Zw//33M3r06C77/fznP+fjjz/mxBNPxDRNli1bxu9+9zscDkfKuP3169fz+OOPc9xxxzFjxgwcDgdbtmzh2Wef5b333uOhhx6S1H9xeBxuPYVdcyWOj57FrNlGdOp5qEBef7dMCCFEL5Bgfn9cfpTLn9pbX/JOfGz9sbq33hvs71YKIcQRk5+fz2c+8xlWrlzJunXrUgLicDjMq6++isfj4YwzzuDRRx9l/fr1nHXWWfz3f/93MvD/0pe+xNVXX83tt9/OZz7zGfx+PwD/+Mc/WLp0Kccddxy/+93v8Hg8yWOHQiHa29uT33/ta1/j5ptvxrI6Hqwqpfj1r3/N4sWL+eCDD5g9ezZpaWlce+21LFmyBIBrr732oD/rnXfeSV1dHT/60Y9SgvB//vOf3HHHHfzmN7/hnnvu6bJfZWUljz/+ePJzfelLX+Kyyy7jiSeeSDnOsccey5IlS/D5fCn7v/TSS/ziF7/g6aef5qqrrjro9grRLcNApRVApA1z91qcjbuIFp2NPfJYMIZvHWQhhBgKJJg/GJ176yOtGA07cdRsxeENEsufiV04CztroqSuCTHMvbnjBR5a+1taI8393ZRu+ZwBrjzmh8wff3hj2RcuXMjKlSt58cUXU4L5N998k8bGRs4991z8fj9LlizB6XRy4403pvTgT548mfPOO4/nnnuO5cuXc8455wA6mLcsix/+8IcpgTyAx+NJWVZYWNilXYZhcMkll7B48WJWr17N7NmzD/kzVlZWsmbNGsaPH8/nP//5lHWf//zn+fvf/86aNWu6rR1www03JAN5gLFjxzJr1izWrVtHS0tLct2+0ujPOecc7rrrLlavXi3BvOg9Tq/upW8sw7n+CWI124gWnQ3ezP5umRBCiEMkwXxPOX2ozLGgbIy2OqySt3Ul/IyRxEYei503XdLXhBimntpwH6UNW/u7Gfv11Ib7DjuYP/XUU8nIyOD111/nBz/4QTI4Xbx4MaAL37W0tFBWVsbEiRPJy+v6N/GYY47hueeeY+vWrZxzzjm0tbWxY8cORo0axZgxYw7YhkgkwtNPP83SpUspLi6mra0NpVRyfXV19WF9xk8++QSAo48+ustQAsMwOProoykuLmbr1q1dgvkpU6Z0OV7iHDQ3N6cE+m+88Qb//Oc/+eSTT2hqaiIW65gi9XA/gxBdGCYqYzS0N+EoXoFZX0J0yrnY+TNhr59zIYQQA58E84fKMDsq4UdDGM17cH70D5T7NWK5U7AL52DnFIHTc+BjCSGGhC8ddSN/W3vngO6Z/+JRNxz2cZxOJ2effTZPPvkky5Yt44ILLkj2ZI8ePZqjjz6aPXv2AJCdnd3tMRK90s3N+lw1NTUBkJube1Bt+PGPf8yKFSsYM2YMCxYsIBgM4nA4aG5u5sknnzzs+e0T0+ntq/d87/Z31t0498RwgM7B+mOPPcaiRYsIBoN85jOfIS8vD7fbDdArn0GIfXKnYWdPxmjciXPtw8TGnEh08hngTuvvlgkhhOgBCeZ7g8ODyhite4VCDVi712LtXovy5xMbMQc7f4Z+Ei5PvYUY0uaPP/+we70Hi/PPP58nn3ySxYsXc8EFF7BkyRJs205OR5fofa6pqel2/9ra2pTtEgFwVVXVAd9748aNrFixgrlz53LXXXeljJv/6KOPksXuDkeiXYl27m3v9vdUNBrlr3/9K7m5uTz88MMEgx31V5RSPProo4d0XCEOmmmhMsdBqB7Htjcw63boXvrcqXK/IoQQg4RUPulNhgHeTFTWJFTGGIxwM45PXsL17r043/sjVul7EGro71YKIcRhmzRpEtOnT2fDhg0UFxezZMkSLMvi3HPPBXSQO3LkSEpLS5O99J2tW7cOgKKiIgB8Ph/jx4+nvLyc0tLS/b53WVkZAPPmzUsJ5EFXiO+OZVnYtn3Qny/RrvXr16ek74MOtj/44IOU7XqqoaGB5uZmZsyYkRLIA2zatCml2J8QfcqTiZ09EaOhDOf7f8Wx6XloH5jZRUIIIVJJMN9XLBcqrRCVXYTyZGLWfIpj/WO43/o9jg1PY1ZthpikUAohBq9EL/yvf/1rysrKOPHEE8nJyUmuP/fcc4lEIvzhD39ICYi3bdvGkiVLCAQCzJ8/P7n8kksuIRaL8dvf/pZQKJTyXu3t7TQ06IehienpEgF1wvbt23n44Ye7bWt6ejoNDQ0HHSQXFBRw7LHHJqei62zx4sVs376d4447rst4+YMVDAZxu9188sknKZ+1sbGRu+6665COKcQhMx2orAkoVxqOT5fiWnU/5p6NsNeDLCGEEAOLpNn3NcMAdxrKnRaf4q4Oq3gFVsm7qLRCYiOPxs6bhkobIWltQohB5cwzz+T//u//+PDDDwE9t3xnV1xxBe+99x4vv/wyxcXFHHfccdTX17N06VKi0Sg///nPU9LUL7nkEtatW8eyZcu49NJLOeWUU/D7/VRWVrJy5UpuueUWTj31VKZPn8706dNZtmwZNTU1zJgxg8rKSt566y1OOukkXn/99S5tPfbYY9m0aRM333wzc+bMwel0MmvWLObMmbPPz/fDH/6Q66+/nttvv50VK1Ywfvx4duzYwVtvvUUwGOSHP/zhIZ870zS55JJLePzxx7niiis4+eSTaWlpYeXKlRQUFBx07QAhepU3iO1Ow6gvxbnmb8TGnkh00gIZSy+EEAOUBPNHkmmh/Dngz4FoO0ZrNc6Nz6M+XYYdHI89Yg6x3CngyejvlgohxAH5/X5OP/10XnrpJbKyspg3b17KerfbzUMPPcSiRYtYunQpf//73/F4PMyZM4evf/3rXQJpwzC47bbbOOGEE3jhhRd4+eWXUUqRm5vL5z73OaZOnQrolPm77rqL++67j5UrV7Jp0yZGjRrFTTfdxLx587oN5r/xjW/Q1NTE22+/zfvvv49t21x99dX7DebHjh3LX//6Vx588EFWrlzJ22+/TTAY5LzzzuPqq6/udnq8nrjhhhtIT09nyZIlPPvss2RlZbFgwQKuvfZaLrvsssM6thCHLN5LT1s9jk9fx6zdruelz5sunQ5CCDHAGGrvwYADTF1d3WEfIxgMdjmO6627MFpqUOkjDvv4h0UpCDdhtNZALALeILH8Gdj5M7CzJ4PD1b/tOwjdnV/Re+T89i05v31Lzm/f6o3zu/eY/QPpq+uy851FmI27UekjD/v4w53H6yHUFjrwhgdiRzEadoFhEBt9gq54Lx0O8netj8n57VtyfvvWkb4uS898fzMMcKej3Okdafglb2OVvosK5BMbcTR27lRU5mgwpMSBEEIIIY4Q04EKjoNQA47t/8as2Ua06EzswtlyTyKEEAOABPMDSUoafhijtRrH5hdh2zLsjNHYI47Gzp2C8uVIqpsQQgghjgxPBrYrgNGwC+e6R4nt2URs8pn6nkUIIUS/kWB+oHK49BAApSDSillXilm9BdzpxHImYxcchZ0zBdyB/m6pEEIIIYY600IFx0J7E1bpO5g124hN+hyxUceD5ezv1gkhxLAkwfxAZxjg8qNcflA2hBqxyj/A2r0W5c3WY+vzpmFnTwKHu79bK4QQQoihzJ2GchVhNFXg+PApzIoNRIvORAXH93fLhBBi2JFgfjAxTPBmoryZ8fH1tVjFb2GVvI3y52EXziaWO0U/OTflv1YIIYQQfcAwdfZgJIS5ZyOuuhJiY+cRnXCqTGMnhBBHkER8g5Vpofy54M/V4+vbarC2vIK17XVUeqEunJdTpC+2UqRGCCGEEL3N6UFlTcJoq8Wx5V+Yez4mOmkBduEcMK3+bp0QQgx5EswPBQ4XKq0Q0goh0obRXIXz4+dQTp8unFcwEztrog7s5eIqhBBCiN5iGChfNsqTidFYhnPdo9i71xOdtEBnCgohhOgzEswPNU4vKmMUSikIt2DWl2BVb0E5vahAAbGCmdjZE1EZo6VgjRBCCCF6h2mhMsfoor0VH+Kq2UZszIlEJ8yXuemFEKKPSDA/VBkGuAMod0AH9pFWjOZKHJt2gOVC+XN1RfzsidjBcVI8TwghhBCHz+nrSL3f+ipm5Ue66v3IY6SejxBC9DL5qzocdK6IDxAJ6eJ5W17BMh0of7wqfvZk7KwJ4PT2b3uFEEIIMXh1Tr1v2o1j/eOY5R8SnXyGpN4LIUQvkmB+OHJ6UM4R+t/Rdoy2Oqxtb2BtfxPly8LOm46dO1UCeyGEEEIcOtPSw/oibZiVG3DVbSc29iSi4+dL1XshhOgFEswPdw43Kq0AKIBYGKOtHmvHcqzit1C+HF08L3cqdnACOFz93VohhBBCDDZOb6eq9y9jVm4kOnkBdsEsKcwrhBCHQYJ50cFyoQJ5EMiLB/Z1WJ++jrV9OcqfS2zEHOzcqbrAjVx8hRBCCHGwkqn3GRgNZTjXPkyscDaxyWeg0kf2d+uEEGJQkmBedM9yoQL5EMiPp+LX4vjkJdj2Oip9ZDywn4IKFPR3S4UQQggxWJgOPW4+3IJVthar5lOi404hNu5kSNT2EUIIcVAkmBcH5nB3zGMfbsVoKse5YRvKHcDOmoBddBK4R4A3s79bKoQQQojBwOVHZU/GaK3GsXkxVvmHRCedjl04W6reCyHEQZK/lqJnXD6Uy6enu2tvwqzajF37CW7LRyxvOnb+TOzsSeD09HdLhRBCCDGQGQbKnwveIEZjGc51j2KXrSU68XRU1gQ9G48QQoh9kmBeHBrDAE86ypMObifUVWCVvou18z2UPwe7YFa8cN44sJz93VohhBBCDFSmA5U5Nl71/mNcNduIjTqW2PhTdS0fIYQQ3ZJgXhw2w7RQvmzwZevCea21WFtfw9r+b1SggFjhLOycIimcJ4QQQoh9c3pRWRMh1IC1402sig1Ex55EbMxc8GT0d+uEEGLAkWBe9C7Lpae6SyuAaAijtRbH5iXgWIpKK9SF87InozJGgmH2d2uFEEIIMZAYBngzddX7liqcm1/E2rWa2LhTiI06TorkCSFEJxLMi77j8KDSR+h/R1oxmvfg/Pg5lNOnK+IXzsbOnoRKL5TAXgghhBAdDAMVyEP5sjGaK3F89AzWzpXExs8nVni01OYRQggkmBdHitOHyogXzou0YDTswlm9FeXyY2eMxC44Kh7Yj5DAXgghhBCaael7AzuK0VSO44O/Y5W8S3T8fOzCWWC5+ruFQgjRbySYF0eWYYArgHIFdGAfbsasL8Wq3qJ77NMK9Rj7rPGojNEyPY0QQgghdJG8jNG6Nk/jbl35vnQSsQmnYudNl5o8QohhSSIl0X8MA9xpKHdaR499UzmO2m06Rd+fR6xgJiprInZwLDjc/d1iIYQQQvQny4UKjoNoO2btdsy67dg5U3VQn1Mk09kJIYYVCebFwNCpxx6ldPG8tjocn7ysn8b7s7Fzp2HnTMYOjgd3oL9bLIQQQoj+4nDruegjrZhVGzFrthLLn0Fs/HxUcLwE9UKIYUGCeTHwGIaensbp1d9H2zFC9XqamuLl4M4gljMFO3cyKjgO5cuRi7YQQggxHDl9qKxJ0N6EtXsd1p5NxApmERt3kp67Xu4PhBBDmATzYuBzuFGBfAjk6wI4bfVYu1Zh7XwP3AHs9ELdax8cq8fTSTq+EEIIMbzEh+0RasTa+R5WxQZihbOJjZ2LyhwnQb0QYkiSYF4MLqYD5c8Bfw4oG9qbMOtKMau2gOVEeYPYuVN1On7WBHCn9XeLhRBCCHGkeNJ1UN/eiFX6Llb5emIFM4mNOVGn5cuMOUKIIUSCeTF4GSZ4MlCeDP19Ih2/+C2s4rfAk0ksZ7IO7rMngjfYv+0VQgghRN8zDH1/4E7X6fe71mCVb8DOnUps7Im6UJ5UvxdCDAESzIuhIyUdP6YD+7L3sXauBk86seyJqLzp2NkTUd4sSbkTQgghhjLD0D31nnRob8as+BBzz8fYOVOIjTsJO3eKTIErhBjUevwX7Pnnn+f999/no48+YsuWLUQiEW6//XYuvvjiLtsuWrSIe+65p9vjuFwuNmzY0PMWC3EwTAvlywZfNtgxnW5X/iGUrQV3OnbWeOz8GdjZk/R2EtgLIUS/cGx8HrP8A4xQgwRWou+4Ayj3JAi3YFZtwqzejJ09idjYk/Q89Zazv1sohBA91uOr5v/93/9RVlZGMBgkLy+PsrKyA+5z0UUXMXLkyJRlliXpTeIIMS3wBlHeoB5nH2rE3LMRs/wDcKfpi3nBTJ12l0jZF0II0fdCDXhe+VHyW+VwY+dOJ5Y3TYZGib7h8qOyJkKkDbP6U8zqrajgeKJjT8TOPwqcnv5uoRBCHLQeB/O33XYbY8eOZeTIkdx///3cddddB9znoosu4oQTTjikBgrRqwwTvJkob2ZHYF+xAbN8vR5jnzcdu2AmdvYkqYovhBB9zekjNvI4rLI1ABjRdqzydVjl67ADBfGaJ/L3WPQBp1cXxIuGMOpLcdZuR6WPIDbmRGKFs+ThvhBiUOhxMD9v3ry+aIcQR17nwN6OYbTV6cq3O1ei/HnERszBzpuGyhwj1W+FEKIvWE7aLv0rVvEKXMt/i1m7AwMFgNlcgdlcgSpZgZ01ATt3Kip9lAyLEr3L4UEFx0EsjNG8B8eGp7C2vY498lhiI+ag0kfKz5wQYsA6IoPT1qxZw4cffohlWUyYMIF58+bhcrmOxFsLcXBMq2PKu1gYo7UGxycvwbY3sINjsUceQyxvujypF0KI3mY6iE04jWjFBh3Mtzdi7tmE2VYLgGFHsaq3YFVvQbkC2LlTiOVMBW9m/7ZbDC2WC5UxSj/cb63B2voKVvEK/fM28hjs3KmSISKEGHCOSDB/9913p3yfm5vLb37zG0466aQj8fZC9IzlQqUVQqAAIq2YtTswqz7B8mVjj5hDrHAWKnOs9NYLIURvc7ixs+ZgF8zGaKnCrNqMWb0FI9YOgBFu1rOUlL0fT8Ofgp09WYIs0XtMCxXIA38utDdhln+AWfEBKq2Q2KjjsfNmoDIz+7uVQggBgKGUUoe6c2LM/L6q2S9dupTm5maOP/54cnJyqKioYMmSJfzpT39CKcVTTz3F1KlT9/setm1jmr0fNMVevQ3VXIWROarXjy2GHmXHoKUaWmrA5cPImYQx9jMYBTMwpHdICDGM9Nl1edmdqPpdGMHRKcuVHYXqbaiKjVC7A/a+bTEtyJ6IUTADssZiyPzhopepaBiaKqG9CTwZGAXTMUYdg5E/DcPt7+/mCSGGsT7tmV+wYEHK92PHjuWGG24gJyeHn/3sZ9x3331deu331tDQcNjtCAaD1NXVpSxzhUIY7WFUW+iwjz/cebweQsPhPDoyICMDwi0Yuz6CknXgzSSWPwM7Pn89Tm+vv213P7+i98j57VtyfvtWb5zfYLBnVeP76rrsDIUww/u4LqeN1a9wC2b1Ft1jH0/Dx45B1RZU1RaU04udPRk7ZwrKnztsxzoPm+vykeTJBXcOhBpwl66m/dMVKH8OdsFR2LnTsbPGy/R2vUSuG31Lzm/fOtLX5X6Z0PXCCy/k1ltvZe3atf3x9kIcHpcf5fJ3FM0reRur9B2UL0fPXZ87BTs4vk8CeyGEGNZcfuwRR2MXzsForY6n4W/FiLYBYETasCo+xKr4EOUNEsuZoqcddaf1c8PFkGAY4M3E8Bagmpsw2mqxPn0da8dbqECBLpybOxWVMVKG4gkhjoh+CeZdLhd+v59QSJ4ai0EspWheRF/Ut72BtWM5yhvEzpuGnT0JOzhO5ksWQojeZBgofy4xfy6xMfMwGkqxqj7BqNuBoWy9SVsdjp0rYedK7LQR+kFr1kQZXy96h+VEBfIhkK+nt2utwbnpBdSnS3Xh3MLZ8QyRnP5uqRBiCOuXYL64uJiGhoYDjpcXYtDofFGPhTHa6rGKV2AVrwB3OnbGKH0jmTlGT63kkNkchBCiV5gWKjieaHA8RNsxaz7FrP4Es6m8Y5Om3ZhNu1E73kQFxxHLLkIFx4LZL7dBYqhxeFDpI1FK6aEgNdsx92wGdzqxnMnYBTN1oUZPen+3VAgxxPTZVay5uZldu3Z1CdgbGhq45ZZbADjvvPP66u2F6D+WS1fCDeTpsZztjZjVW7EqP0JZbpQ3Ezt7Eio4DjtjlH4IIOPshBDi8DncerhT/gwINWLWbNE99qF6AAxlY9Rux6zdjrJc2FkTsXOKUOkjJC1aHD7DAHcA5Q6AsiHUgFW+Hmv3WvBk6GEfeVOxsyZIxp4Qolf0OJh/+umnef/99wHYsmVLctmqVasAXfRuwYIF1NfX8/nPf56ZM2dSVFREdnY2lZWVLF++nPr6ek466SSuvPLK3vskQgxEpgXeIMobRIFOxQs1Yu18D0reAacH5cnEzpqICo7BThuBSiuQNFAhhDhcnnTskcdhjzhWT3NX/QlmzVaMSHx8fSyMVbUJq2oTyumLF86bjPLnDdvCeaIXGWby+o8dwwjVY+1ajbVrlc7Yyxqvh+MFJ+gOAPmZE0Icgh4H8++//z7PPfdcyrK1a9cmi9mNHDmSBQsWkJmZyeWXX8769et54403aGpqwuv1UlRUxAUXXMCll16KZcn0MWKYcXhQAQ+Qp6dXirRhtDdilb4LJW+Dw41yp2MHx6Ayx6HSC1GeqXpbudALIUTPGQYqkEcskEds7EkYDbt0Rfza7Rh2RG8SacWq+ACr4gOUJwM7ezKx7Mngy+rnxoshwbRQvmzwZXdk7FV8hLl7vS7qmDFaZ5RkT5QsESFEjxzWPPNHQm9MndDt1HRv3YXRUqP/aIrDIlPg9BKlINqOEW7Sc9naUTAtXGlZtJsB7KxxKH8eyp+jX55M3fMvDotM0dK35Pz2rf6Ymq6vrsvOdxZhNu5GpY887OMflFgEs65Y99bXlyQL53Vm+7J1j/0gG+8s1+W+1WvnVylob8II1WFE21FOLyqtkFjhLJ2xlzFqWF7n5brRt+T89q1hMTWdEKIbhqHT7p0e8OfqZbEImFGMxj1Y9cUYKBQWuLwoVwA7YyQqbYQO7n3Z+sm/0ye9+EIIcSCWEztHp9YTDWHWbses3oLRWEbiL6jZWoPZWqMr4vvz9PZZk8Ad6NemiyHCMMCTjvKk6+J5kVaMpnKctdtQDi8qLZ9YwSzsrAmozNFgSfFcIUQqCeaFGMgsJ4Y3DWXoOesV6B77SCtGuBVr94dgvw8YukK+04vyZunCev7ceICfhfJmgdPTn59ECCEGLocHO286dt70eDXyTzFrtmI2VyY3MVv2YLbsgZK3sdMK9dSjWRPB5e/HhoshwzDA5Ue5/B2BfXMVjk2LdWFdXzZ2/kzsnInYwfHg9PZ3i4UQA8DwC+ZjYYzWWp3aJMRgZDrAnY5yd0r5jKfoE23FaKrEqi/RlXQBHB5werF92XrqHH+uDvB9WShvtkyTJ4QQnbn8eo7wwtnxivhbdXDfWp3cxGwqx2wqRxW/hUoboVPxsyaAy9ePDRdDRqfAHtDFc9vqsD5dirX9df3QPm8qdk6RDuwH0RAQIUTvGl7BfKQV3yMXY9aXoBwe/ccwe6IOcLxZkposBq94ij5OD6rzw3plQySEEW3DbCiDmm16mWGAw6uD/EAeKt6Tb8fT9fFkyu+DEEJ40rFHHos98lhoq8Os+RSrZitGmx4PaQBGYg774uWo9BHYWZMksBe9y+FBpRVCGrpTqq0eq3gFVvEKPeVd1gRUThF25lg9I84wHGcvxHA1vIL5aBizvgQAIxpKXoABHdynFWKnj0Slj9ABjVQTFYOdYYLLh9r7ptKO6Sf9kTbM2mKo2hzf3gKnT1dzzhyDSitABXJ1b743S24QhBDDlzeIPep47JHHYbTVJlPxjVADAAYKo7EMs7GsU2A/MR7YSyq+6CWWS09lF8jT1/JQA1b5h1D2vr5++7J0j33GaFRaod7WcvZ3q4UQfWR4BfPeTNou+hPO9Y9jlb6DEYskVxnREEbdDsy6HQAoyxUP7kfEC4zlSiAjhg7TSk3hS4iF9Ti9UD3Wzt36RsEw4wF+ur45yBiJCuTpyvq+LHnoJYQYXgwD5csm5ssmNuozGK01OhW/dtu+A/u0wnhgP1GK54neY1oQHzZHYpx9qBFr+7+xFDpbz5OOnTkeFRyDnVaoe+7l4ZIQQ8bwCuaB2Pj5xMbPx7X8txg1OzDsMGbjbozG3Rix9uR2RiyMUV+S7MlXpgOVVoCdNkL33Afy9dhlIYYSy6Wf+nsyO5bZMX2D0N6MVfY+7HoPiPf4ezKwM8fFfyfysAN54MmQAF8IMTwYBsqfQ8yfQ2z0XIzWasyabZi1n3YK7MGIj7GnZAV2IL8jsJexzqK37D3OPhHch5uxylZj7FyJspzgCmCnFWAHx6EC+cnpbnHKsBAhBqPhG40aJngzsdNHYBfOAaUwWmt06n0iuI+2dWxuRzEadmE27AJAGab+I5hWqAP8tAJwuPvpwwjRh0wL3Gkod1rHMjsG4RbdA7BzJYYdQxmWDvDd6bqaflpBvNCeTJknhBgGDAPlzyXmzyU2+gTdY1+7DbPmU4xQfXIzs7lSV8kvfQfbl4OdHU/F92b1X9vF0JMS3Ofr2XCiYYxwE2btDsyqzTrgd7h19p03qKe79eWgvJkob7zH3xWQa7cQA9jwDeb3Fn+6rvw52AWz9B+4UL0O7BMBfri5Y3NlYzSVQ1M5FmtR6LQ7lT4insY0QorfiKHLtJJz40KnKfPCLRjtTboHX8X0tlZ8yjxPpq5JkZavbxYSxfZkLJ8QYqjp3GM/6jMYbbUYtdv0XPatNcnNzNZqXSV/53soTxA7a4KeU9yfKwGU6H0OF8qRDb5s/X1iJpxIK0ZzJVZdcXwmHENfm53e+BC7Mai0PH3tTsyEI9PdCjEgSDC/L4ahi914g5A/g5hS0N6E2aR77c2m3ckUOoiPj2uthtZqrIoPAXQKctqI+Nj7QnBnyMVZDF2mAzwZKE9GxzKlINYOkTaMlmqs+lIgfqPg8Or5dNNH6LH4gdx4kJ8rNwlCiKEjPsZe+bKxR30G2up1j33tNsyWqo7NQnVYu9/H2v0+yhXAzhqPHZyASh8hQ5dE3+g8E07n5UrFa+i0YbTWYTWUdUx36/SA04ftzdJD7PzZKE+mHp7nSddZfJZMeSvEkSLB/MEyDD1FjScdcqcSA90L2VSe7L03WmvoHKoboQasUANUbQJAOX3xtPxCXWHUnyMXaDG0GYae597hQXmDHcuVrW8SIq0YezZhln+ADvDd4PLp8XzxKXb074oUoBRCDBHezI7p7tobdcpz7TaMpvLkPYQRbsaq2IBVsQHlcGNnjsfOGo/KGC3ZTKLvGfHrscON8mZ2LFd2x0w4jbuhdjugdPBvOcGK7+PJxA7k6vvceKCvU/eD8vMrRC+TYP5wuPyo7EnEsifp76MhjKYKzKZyfVFursRIPMkEHbjEn8YDKNMZL6oXD1gC+fI0UwwPhtkxls+fq5cpFb9JaMWs2Y5ZuVFXjnL69Y1B9gRUxhg9pi+QLzcEQojBz52OXTgbu3A2hFsw64oxa7djNO5K3j8Y0Xas6s1Y1Zt1Md6M0djB8djBceD09m/7xfCSmN1m72J5SoEdgWg7RrQdo7kCq74kPiMOgKl7/50+PcQurRDlDeoA35Oue/XdaVJY+nApWw+biIYwou36/yPWDrGIzrSwoxh2FLvag9VQD3YEw45CLKrXqxjYdscwyQTDTH1ZTv1/ZZi6XpJp6qmNk9nHSo+/TPzfJ/c1wLBQye1N3VFjWvHl8X+bzvhXB8p0xL93gOXY630ESDDfuxweVHAcseA4/b0dxWjeEx9zX47RXIERCyc3N+wIRsNOzIadAHrcffyPXKL3XqYPEcOGYejxeU5vp/F8NoRb9Tj84hX6hsHp0cF9zmRdjTdjlA7uJctFCDGYufzY+TOw82dAtB2zvgSjdjtmfSmGrafSNexochpdhaE7BILjsYPjoXMPqhBHkmF0zIbTuVhugh3V2XjREEZtMVRtjq9QOlBzeFAOtw7w/bnYuaOxIqBcgfjDA298Gw84XHqfoR7QJYc6tGKEWzEiLfp+KBqCaJsuZhgNQbgZI9yC0d6st41F9Pm2Y/qrisWLFHecL9vpwhFJxCMKQxl6ffI+yiAl1Vip5LYohaEUyogvT/l/MEgJ5JMBfTefzTDiBZeU3jQl4De7vkxLb2M64rUfPGC59c9G/KXiP4NYLpTD3elrPGPE4dbZopZrSP38SDDfl0yHHk+UPgJ7JKDseMX88nh6frn+5YwzUBgtVdBS1THu3p2mA/tAYbI6uAQtYtgwTHAHUO4AUBCfaqcNo70Rq/htrB1v6Qu9Pxs7b3p8jOk4mWJHCDG4OdzYOUWQU0QsMZtOPIg3InqmHQPVMeVd6Tu6Gnm8x155xvbzBxCiE9PRdVYc6AhY4z3IRkMZ1O7ALl+DMxJBoXRPbKJnNtFbazmSGQLK6dP3CU5ffGiAF+VwJR8QYLnBcupp+SxX/HhWam9xTyile65j0fjXCIaK6eBZKcDWHRF2/KuykwG1DrJ1oG3YUZ3NENNfjVgEwi16CG+4CaO9WQfrsYh+2ZGOugUYgK2D8Pg50T3XTv295U49X3t9TsPrQbWFOj5SD/87e7r9AY+nVPyzqU7nrOt5NGx9vgm36H93ziRInJvOn1Op1PPTubc/nh2qXGn6Z9Pp1Z1FjviDAacHHPEHSS7fgM4aGbgtG4oME+XP1eN/C2Z1KqpX3hHgt9Wm7tLehNXeBNVbAFCWCxVIpOYXSGq+GF4MQ09/l5gpQin9R721DmvLv7BMS9/Q5k3HzinCzp4o2S1CiMHNdCSz/mLqNIzmSl0Vv25HypR3RlsdVlsd1u61KKcXK3NsPHtptNwniIGp89j8zou9Huy2UGrgbEd0EKxiGJF2aE8EdDp1fO8A0wAdtKUE71ay51f3VBudgr9OXckG8Y6zRG91vLc5HrQbicAzEWhix9uq4sdQqd8rO96jbet27v2e8R5qEj3PnYNzpx88iQcRqUF5bwfV/Saefn8gPX7okPj56ZSpYNhRjGhYZznY5R0PWAwjJZkgmd4fH1KgXD6UJyNe7DFdP0xy+XVGlT8PfP03tagE8/0ppajeFL0sZdx9RXzcfcfYFSMWxmgoxWwoBTql5gcKkuPvcaUNqfQRIfbJMDr13KOfkIfqsYrfwip+C+XNws6dogP7rPHQuQifEEIMNoZOrY+lFRAbOw/a6uI99sX6niFxuxtpw6rajFW1GWWYqPRR2MFx2MGx4E7v388gxMEyDDDigS16lpvuArpulyk73lse7zW3Y8nA21BKPwjQG+77iHuvSz4AMHVvt+VITQ1P2aZj2+QDhJSHB6LPpfz8aPt7IJAcTKDsTg+QIhixKEZbPUZz1V4ZEjrwj+XNIHLCdX3yEQ6GBPMDTZdx9zGMliqM5k6F9eIpdpCamk/lBgCU099RWC9QIJXAxfBhOfXPuz9XP4Ftq8PauRKr9F1wp2FnjsPOm6arQqcVyJAVIcTgFp9C1x5xDETaMOtLdHX8xp06HRUwlN3RCVAMti8blei1l3ojYqgyTLBMoGux3CHToy36hmHq2gzojKb9/rw0lOkpmPuRBPMDnWnFp+cqwC6co58StjdiNlXEK+ZXdJ0SL9KSWjXfsHR6f6cAX1KPxZBnOjoF9jH9e7NnE2bFhzo9Kr2QWN501NijwEiXcfZCiMHN6cXOnYqdOxW3y0F4zzZdHb+uGCPcnNzMbK2B1hqdju/wYGeO0cF95hhdHEoIIcTBGQCJFhLMDzaGAZ4MbE9Gp9T8dj2GLhHcN1UmK98CenxRcwU0V2CV62XKlRYP7PPjhfVypPdeDF2mBd6gnuNWKV39tXE3jpptxHYsw216sDNG6x77xO+EN0vS4YQQg5JhOVCZY4lljiU2br5+6F8fD+ybKzvms4+GsKq3QPWWjur4mWNRmWNRvmz5GyiEEAOcBPNDgcONyhxDLHOM/l7ZGK218cC+ArO5AiPUkLKLEW7CqmmCmq16F8NCBfJQgXzpvRdDm2GkVtV1GtBQ3dFrD+AKoLyZ2MHxqIyR2IF8lD9P/07Iza0QYjAx4rV1/DnYI4+DSCtmXYme+q5hZ3LK3JTq+DtXolwB7MwxOrjPGCVF9IQQYgCSYH4oMszkhZv8mcRAzz3ZVKkD+6YKjJY9elqMxC4qhtFUDk3lnXrvA9iBAlRafnzsfc6AnppBiENhONy6Byoxt70d66iQ37BL9+RbTl2x1JeDio8ztQO5EuALIQYfp0/XDsmbpuvyNJVj1hdj1pVihOqSmxnhZqw9G7H2bNRF9NIKkyn5krkkhBADg0Rmw4XTh8oaTyxrvP7ejmG01cYr5lfoMfjtjSm7GOFmrNpPofZTAH0x9+Ukg3s7kC9VccXQY1rgSddTj0DHPLiRVszGMqjdlhLgK28WdnCsTs/352D7csCbKUWlhBADn2mhMkYRyxhFbCwQatBF9OpKMBrLkrPpGMrGaCzTfwNL3+3otc8Yo3vtHe7+/RxCCDFMSTA/XJlWx5z3HNW19765Ur9Seu9tjJY90LIHiFfOd3iwM0ZgeuPT4wXy5KIuhpbO8+AmprZTSleKjrRgNFVi1e1AzxFr6Qdn7jTs9JGo9EKULxvlzUL5ssAVkN4sIcTA5cnALpiFXTBLT/XZWIZZX6pT8js98E/ptU+Mtc8Yg8oco+8r5O+cEEIcERLMiw579953HnvfXInZVJmSgge6eA4123GwPblMeYJ6jHEgX4/D92VLcT0xtBiGnrbE4eoI8CEe4LdhtDdj7V4Hu1brbS0XOLwod0BntATyUN5MlCcz+RWnt98+jhBCdGE5k1PlxpSCUH08sC9N7bXvPNZ+13vxh/yjUZljsDNGS/0dIYToQxLMi33rbux9NITRvEcH982VOtCPps6vaITqsEJ1UL0Z6DQ1XjzA1+n5afLkXgw9llPfAHs6DT9RSs9BGglhhBqxmivBjgAGBjq7BacX5cnQNSoCuTq492SgPBn63w4pPCWE6EeG0TGnfeFssKMYDWWYDfHgPlTfsWk0hFWzNVlg1/ZlozJG65779EKpvSOEEL1I/qKKnnF4dBpd5hhsAKVwEyJSXdqRmt9ajaHs5C6dp8ZLUA5PPLDPQ/l1D770TIohyTD03M0OD2qvVcqO6aklo20YzVVY9aW6AB/obJbEfp50PRbfl41yp6FcPj1e3+HVDwKcPv37IxkwQogjwXSggmOJBcfqB/2hxo7AvnEXRqxjetzkvPbl6/XD/fQR2BmjUBljZPo7IYQ4TBLMi8NjGBjeIHaut2PeezuK0VKdDO7N5squxfWiIYx6PTVOgnKnx4P7vHgxsVzd0ynEUGVa4PLp4HxvdlT35sfa44H+rmSPPobCwECZOhMA04myHDrAd6fr9H1Pmk7td/n0EBqnVz8YiH/F4ZYifUKI3uFJx/bMxM6fqQvsNldiNuzEqC/Vs+fENzNUDKNhJ2bDTuBdlNOLnT4q3nM/GtyB/vwUQggx6EgwL3qf6UClFaDSCgDixfXadHp+SyI9f48eb9+J0d6I1d4INfHq+RgoX1Y8uI8H+N4s6X0Uw4PpAHcARfc3t0rZeoy+HdWFquwItNRgNFVALIr+zevU42VY8cDfoX9HLWe8WF8A5QqAO02n/McDfeVwg+WKf3Xr4QOJBwHykE0IsS+m7n2PpY+A0SdAJITZuBOjXgfxRrg5uakRaUtJyVeeTOyM0brnPn2kFNQVQogDkGBeHBlOLyo4FhUcm0zPp71JB/Yt8eC+pSq1ej4KI56eR9UmIDH+PicZ4NuBPPBkSg+jGH4MM36jq292907hT6GUDvrtePBvRzGiYQi36uDfjoKK6YMk4/9E779DPwgwrY4HAS6fHs/vDaLcGTojwOVHuQPgij8ccPnk91L0SGmJwhtRBH0Kp0NSr4cMpwc7ezJkT+4opBfvnTcayvSDyDgjVI8Vqseq3KAf6AfyUOmjdHCfViDj7YUQYi/yV1H0D8OIp+WlQ85kvSxZPb9Sp+U1V+rvO4Upevx9JTRXQmV8N9MZL7CnU/TtQB6402UcnhAJhpEszpew3+A/sY2y9Rh+OwYq/hAgFsVoq8dortKZASqGYRgoFBgOXbnfcqGcbpQng1jOaCzl0VkGrjSd/u9OR7nT9LZCxFXuAUcLfFoNwaAimAkZGeDxJMpFikGvcyG9glmdUvJ36bH2TRXJa76BSl7vrd3v64f5aYXJXnsVyJMHhkKIYU+CeTFwdK6ezwy9LBbRBfUSFfRb9mCEGlJ3syMYTbuhaXdymbLcuiq4Pw/bn6fH30sFfSF6xjDBMg/4EEBBR+9/LKx/byPtGKFdqKadOEJtOuBXSh8rnrqfKOynAvr3U7kzUJ50lDtd/77KkJphxeEAy9I/SuUVsLscXC5ID0B2tiIjA/x+MOXv+NDROSWfz0A0jNFUpoP7hl2YbbXJTQ0Vw2jchdm4CwBluVBpI7AzRqLSR0kxPSHEsCTBvBjYLCcqrRCVVgjEx99H2+M993swW6p0D36nMXiALhrWsAsadpEIB5TDo9Pz/bnxQnu54ArIxV+I3rBX738i6De8HlRbqCPgj0Ug1o4R7VTYT0X1NH0KPQ2f5Ua5vChvls648Qbj4/oDunJ/PK0fh1d+f4cYwwCvV7+UgnAY6uqhukYH+z4f5MQD+/R0cFjy/z+kOFyo4HhiwfH6+3ALZmM8sG/YlTrePhbGqC/GrC8G4tf49JHY8RfeoPx9EEIMeRLMi8HH4UZljNbVbxPLIq3JcfdmPNA3Iq0puxnREEZDKTSUdg3wA7kdPfgS4AvRNwxDB+sOl06z70QH+7bu2Y+2x3v2i6HqEx3VGWAopQv3WS79oM/hQfmy9cubCa40XdDPnaaP7wpIsb5BzDDA7dYvFESi0NYG24vBNHT6fVZWRzq+2yV/t4cclx87ZwrkTNHj7dsbMBvKdHDfWIYRbUtuakRDGLXbMGu3AcQr5Y9MBvi6vo78jAghhhYJ5sXQ4PShguNQwXEdAX64uaP3vmUPRnNVyoUf9hXge/UYfH8udiAX5ZMUfSGOCMOMV9P3dJ/Or2xdqd9OpPK3YdRshz2b9IOAxO9ofNw+liuZyo8vOxnkK3daPK0/PT5Fn/xuD3gGOJ36BRCLQXs77CqDsjJwuSEzQ5EV1IG9zyfj7IccwwBPJrYnE/JnEFMKo622I7BvLMOIhTs2j7Rh1XzaMUOO0xcP7kdIcC+EGDIkmBdDlyuAygoQy5qgv1dKB/gtVZiJ6vkt3UyRF23rJsB36wDflxvvxc8Fd4bcCAhxJBmm7tlHF87rtohfsnc/rNNwE6n8iYrZBrpQn8Ots3xcfmxfNvhzOo3ZTxTpk2B/oLIsHbD7fPq/vD0MVVVQWanH2Qf8epx9ZgYEAmCa8n845BhGMjPHLpyti+i2VGM0lungvmk3RqxTpfxIa+o0eE4vdtoIXUwvfYSe+lZ+14UQg4wE82L4MIx4b1zaXgF+UzzAr9pPgN8xBj9BWS6UL6ejF9+fC95Mqa4rRH86QO9+R6G+dh3wt9VjNVXqBwCJG3nDihfpc6HcAWx/Dvhy9XR87jSUJ0P/LfGkS0X+AcAwdcq9xwMoCEegoQlq6+Lj7L2QkyPj7Ic8w9Q1NgJ52COOjgf3VR3BfWN56jR4kTas2m2QSMt3eHRBvfQROrj3Zcv1XAgx4EkwL4Y3w0j2wMWyJuplnXvwE8F9SxVGZK8U/Vi4axV906F7CuIBvvLn6qf9UpVbiIGhc6E+Vze9+52q8hvRUEewb0f0xoYCs3NF/kzsxCwc8Ur8ypOpA32XX4KBI83QPfMuF6AgGoW2EGzfAWY86M/OUgTj6fgupwT2Q5ZhogL5qEA+9ohj9grud3ftuY+GMOq2Y9ZtBxLV8gvivfcjUP48uZYLIQYcCeaF2Nu+evAjrcnAXgf51V2r6NvR5Ly4CcowdVVuf7wX3xe/8ZcePSEGnk7BvnL5u65XSgf20URF/gqs+hJQsY5trHgKv9Mb/73PQ3kzdc++JwM8GTqFX4rz9S0DHE4IdDPOfleZLqwXzFRkZcl89sNCt8F9PC2/abfuuY+1d2weC2PUl2LWlwLoee4D+aj0QlT2OHBlxYf9CCFE/5FgXoiDYRjx6bDGo4LjU6vot1TH0/PjQX57Y+quysZorYbWaqjanFyuPBl6jm1/rr7h9+XonjwhxMBlGB3F9faqyA/oAdzRMERDukBf9adQ+XF8HWDp8frK4dFT7gXydTaPJ10H+R4d9ONwH9GPNRx0Hmdvx8fZV+yB8vg4+4y01PnsJbAf4jqn5XM0KIXRWqN77Bt36wC/U0aeoWLJbDxV9j5ODH3tTivETkyhK9dwIcQRJsG8EIfD6UNljkFljgEgBrrHrqUaozUxBr8ao60OY6+EXiPUgBVqSI7XA11tN9Fzr/w52L5clCf/CH4gIcRhMUxwesDZzZj9lF79EEZDGdRs1w8AUDqF1+HRwb4nAzuQrx/2eTLAk6l7971B6dHvBaYJXo9+Jeazr6mFqmpdMT/g1+PsMzMgkAamFEYb+gwjee2lYJaeCi/UEO+1343ZVJ7ysN5AYbRUQUsVVsWHACh3ejKwV2kFUlRPCNHnJJgXorc53KiMkaiMkR3L7Kh+4t/SKcBvrcHonJqLrrabqKSfoCwnDm92svde+XP0DYLc0AsxuByoV9+OdgT6zXuw6nfqZaCL8jk9xPKPInr0ZUe23UPc3vPZhyPQ1Ax19fECej7IyVZkZuoCepZUxh8eDAO8mdjeTMibrh/Wh5sxG3fjaNuDXbdLX8c779LeiNXeCNWfAKAsd3zcfYEO8P15cu0WQvSqYRvMh0LgjIGUMhFHhOlIjtVLUrbusW+pxmit7gjyO43ZAyAWwWyugOaKjl2Jz7frz9YBfmIcvtMnvQBCDFamA1yO7sfq21GM+p0Y7Q1Hvl3DyV4F9CJRaGvTBfQsS/fk5+TowD4jQyrjDzuuAHZOEaZ3FuG2kB5O01She+2byjGa96Q8pDdi7Rj1JZj1JUC8ho4vR/fapxVgBwrBHeivTyOEGAKGbTD/8SaFNwZpIxXp6ZAm89CKI80wk3PkwhS9LFFJv7Uao6Uas6UKs60WQqk38AYKQnVYoTqo+TS5XDk8HT34vhx9fG9QKvAKMdiZDj3eXhw5hk65dyYK6EUh1A7FJWDu1AXzcrIVwUwd2DulMv7w4/CgguOIBcfp7+2YfjDftBuzqUIH+J2mujWUjdGyB1r2QCI13xXQPfcBHeArX45cs4UQB23Y3hnYNjQ2Qnmrvj/yuiErKz4PbRq4paqt6A+dKuknCu15vB5CTQ06nS/Rg99aE0/Tt1N3j4YwGnZBw67kMl1NP9gR3Pv1V5y+I/zhhBBi8LIc4Hfo4nh2TAf2pbtg5y4d2GcFOyrju11y/zAsmVZHrzvoB/ShBt1z36yDe7OtLmUXI9yMVfNp8sG8rpqfp6vux4N8KawnhNiXYRvMWxa4feDyQTQ+XU3pLjB2gdOle+qzgh299pak0on+5HDreW7TR3Qss2MYofqONP3WaoyWGoxoW8quupp+DbTWpCzXxfay4y/pxRdCiINl7l0Zvx12l+tX5ynvMjPA45H7h2ErZdz9NL0smZpfoQP85kqMRG0MElXzy6GpHKtcL1OuAHagAJWWr3vw/Tk6W0cIMezJXwJDF7hxOMCPLiocjkB9PdTU6KDf44ZgMN5rnw5er/TaiwHAtLpP04+0dgT2rfFCe91V04+0YjS0QsPO5LKOXvzslBdOv4zFF0KIbpimvi/wevU9RHsYKvdARXzKu8wMRXZ2PLCX+wexd2p+/IG7EQ/uzaaKrlPchpuxaj+F2kTvfXzsfbwWjx3IB0+GXKeFGIYkmN+LYXaqaoseI9cehrLdsGs3uJz6SXx2VrzXPg2cDvnjKQYIwwCXH+XyozLHdiy3o52K7dV09ORHU4vt7bMX33J3CfCVL0tX5hZCCAHoewiPR7+U0j32VdVQWRWfyz69ozK+dAwIQNfP8eei/LnAUbpqfqQVo6kSM9Fz36X3vtPY+8oNACiHG+XvCO5VIA+c3n75SEKII0eC+QOwHOCLT02jFETC0Nyse+5NE1xu/dQ9M95r7/dJIT0xAJmOTjcLcZ178VtrOgL9UH3Xsfixdoym3dC0O2W5cqenBPe2Lxs8mfqOVgghhjHDSA3sw2Gd8VfVObDPkcBedMPpQ2WNJ5Y1Xn+vbIzW2mRavtlUiRHaa+x9tD05tW1isJxypycDexXI18X1ZGo8IYaUHgfzzz//PO+//z4fffQRW7ZsIRKJcPvtt3PxxRd3u31zczOLFi3i1VdfpaqqitzcXM4880xuuukmAoHBNR2HYejg3RXvtbdjutd+zx6oqNCp+l4PBLMUGfFee48U0hMD1T578WO6Fz9RZC/Rkx9p7XqI9kadDli3I7lMGVY8VT8rPg5ff8UVkBRAIcSw1Hku+2RgX6t77SWwFwdkmLp4rT8H8mfq3vtoe7LX3kz03neqnA+d5r2v2QroaW2VL0sH9v48HeR7s6RWjhCDWI+D+f/7v/+jrKyMYDBIXl4eZWVl+9y2tbWVK664gk2bNnHSSSdx3nnnsXnzZv72t7/x3nvv8fjjj+PzDd6K2qbVMU4uMR9texhK40OQXS4I+HSV/LQ0SckXg4Rpddw0dBZp6wju22o7/t0p9Q/ixXtaq6G1OmW5slwpwb3yZaG82eD09PUnEkKIAeNgAvvseCq+zyeBvdgHhxuVOQaVOaajcn57U0dg37Kn67z3qE5D6TYC8Qfw/hwd2PvzsQO5kmEnxCDS42D+tttuY+zYsYwcOZL777+fu+66a5/bPvDAA2zatIlrrrmG//zP/0wuv/vuu7n33nt54IEH+M53vnNoLR9oOs1H66fjAt3YBLV1nVLy0/UFOi0NAn5JyReDiNOLyhiFyhjVsUwpaG+MB/Y6wDfbaqCtvmvBvVg4WaG3M11VXwf2+qt+4ZDx+EKIoW1/gb3TBemBjh57v18Ce7EfhgGedGxPOuRM1svsmH743rynI8BvrU25PhsqhtFcCc2VQHz8venUQ/MCuSh/HrY/TwrsCTFA9TiYnzdv3kFtp5Ti6aefxufzceONN6asu/7663n00Ud55plnuOmmmzCG4B+Hzhdo6JSSXwUVe8BhxaevCXak5Pu8DMlzIYYwwwBPBsqTgcqaAKDT/xIF9+IBfrInP9zc9RDJqvq7UpYrV6AjuE/06HuDMt5PCDEkpdw3xAP7+gYd3Dud+j4hN0cRzASfBPbiYJhWR72c/Bl6WSyC0VKV7Lk3myu7Vs+3I13q5CjLlTyWDvBzJcAXYgDoswJ4xcXF7Nmzh5NPPrlLKr3b7ea4445j2bJllJSUMG7cuL5qxoCxd0p+NB7cl5XBrjJ9ofZ6dEp+ejwl3+2Wi7UYpLoruAd6jF9brQ7y2zp68/ce5wd6Kh4j3Az1pcllCsCdntKDr/8dlDl3hRBDR+caPUpPmdvQALW1OhU/PT0e2AfBK/PYi56wnKj0Eaj0EUD8AXw0hNGsA3wzkZ6/18N3IxbGaCyDxo7htXr4XE6yF18H+JmSoi/EEdRnd78lJSUA+wzUx44dm9xuOATzKTrNbU+iSn4E2tqguAQM9MXa79PF9NICOrh3OeWCLQY5hxuVVohKK0xdHmmNB/i1HSn7bbUYsXDKZgbotP72RqgrTi5X6PRC5Q1KkC+EGFoMfU/gcpHssa+thepq/dA/M1ORkw3BILhdcp8gDoHDg8ocjcocTXIum0hrpwC/Sgf4kZaU3fTwub168E1HR4CfeHmDUmRPiD7SZ3e5TU1NAPusWJ9YnthuXzIyMjDNw3/CFwwGU753OJxYlonhGBg3+i6nDt4BbAXhdkVLKzQ0KgxTX6Az0g2yskzS0gzS00wcAyjb2OOVImZ9acifX68H0rNSFimloL0ZWqqhpRrVUgMt8cI9sUjKtgYKQg0YoYaUIF8fOxN8WeDPxvDngD8bfFkYndL1h/z57WdyfnuHanNheL0E9rqe7X1962t9d112YDmsAXNdHqicTj1+XikItStqavWUd2435OaY5OSYWA75vetrQ/78Jq/LU5KLVHsLNFVCUyWqWX+lfa8efDuK0VwBzRWdFlr62puWj5GWB4E8COSmXIf3NuTPbz+T89s7VMiF4fH063V5wF8xGxoaDvsYwWCQurrU+Tij0QjEbKLR6D726l+J+e1Bj7cPR/RY+93l+uGmO17xNiOjo5ieZfXPE3mP10OorWuatOgdw/v8OsFXqF+JjP14xV6jrbZTyn6d/rfdze9zW71+1WxPKclnu9NQ3izMtByizvSOMfkOd99/rGFkeP/89i4jHMZuayPS6XrW3fWtp3p609F31+UoRGMD9ro8EDkckBYAZUOoHUpKY5SUQsBvkZkZIztb3yc4+un+YKgavn/XLPCP0K+ESGt8DH6V7sFvqe4yBh8Vg+Y90LwHFa+BqwA8mdj+3HhPfnwWHadvGJ/fI0POb+8xwmHsUKhfr8t9FsynpaUBep757iSWJ7YT+2Za4LH0nPUAsZhOs9tTBRWVOvB3uyAzQ5EeL6bn94MllfLFUBSv2Ks86ajguI7lPQzyjfYmjPYmqC9J+UOonP54un4wGeArbxCcXin0I4QYkAyzoy6PbUM0CjvLoGy3Xpabq8gK6k4AmUVH9CqnD5U5FpU5tiNFPxrSQX3LHoyWasyWagjVpVSBMgBC9ViheqjZmlyunD7stHwsTxDly8H258QL7ck4fCG602fBfGJMfHFxcbfrE2PqE9uJg2d1U0wvHIHySthdEa+U79Lj6DoH96YEImIo21+QH27qGIffVtcR5O+Vrg9gRFr0uMDGvarrW+7kOHzlDaI88SDfnSZBvhBiwDBN8PsMXC798D8UguJi2LlTz1ufm6MD+7Q0CexFH3F4UqayjYGuot9arYP81mrdm99ag6HslF2NSCvU7sBiR3KZMh364bo/R89u48tB+XJkClsh6MNgfty4ceTl5bF27VpaW1tTKtq3t7ezZs0a8vLyJJg/XJ2K6fk6B/dhHdiXlevg3uvR0+Clp0MgINPgiWHEMHQFfHd3QX4zbruFSH1laqDfXXX9WDtGUzk0lacsV6YD5cns1JsfBG8Q5cmUgj9CiH5lWfphvt+ve+tDIdi+A0p2gj/eYx9MBPZyTyD6kuXsWgDXjsWnsa3BaI2n6LdUY8TaU3Y17ChGyx5o2ZOyXLnTksG9Hf+KJ1168cWw0mfBvGEYXHrppdx7773ce++9/Od//mdy3Z/+9CcaGhq48cYbJaDsbZ2DewAFkaieBq803tHodHQE92lpEtyLYcowwJ2G4c3F9hakrou0dfTed+7JD7d0PYwdxWithtbqlOUKfXydqr9XsO+QwjNCANi24tbbFO+vhTznhUxK/5SxBS2Mz64k3dPW380bUhwOfb0HiEagLQTbtuuhen5fxxz20mMvjhjT6hgrnyi0pxRuM0K4tgyjpQazNd6TH+paqyM5XK6umMSj82Qvvi875YXTe8Q+lhBHUo+D+aeffpr3338fgC1btiSXrVq1CoAFCxawYMECAK655hpef/11HnjgATZt2sSMGTPYvHkzy5cvZ9q0aVxzzTW99TnEvhi68q3TCX46TYPXDk07dQGSvYP7tIBO4ZfgXgxbTi/K6U3Ow5sUDeugPlTfKdiv15X0U8rrxSvsJ6bRq089jHJ4OwL8ZK9+JrilR0EML83NsOx1/e96RrGlahRs09/n+BsYn13JhOwKJmRXMDKjBodl7/tg4qA5nBBworP5onpq3GRg74WcHEVmpp7PXurviCPKMDA86aigCxUc3zEOPxbWw+WSqfo1+mXvNbvNvnrxnb54YJ+F8mYn/y3T14rBrsc/we+//z7PPfdcyrK1a9eydu1aAEaOHJkM5n0+H4888gj33HMP//rXv1i1ahU5OTlceeWVfPvb305JvRdHhtF5vlo6BfehTsG9E7xuCe6F6MLhQqUVoNL26sm3Yzqg79yLnwj4uyu+F23DaGrrmrJvmChPBniCXYJ9qbIvhqL0dIMbvgn/eE5RWZm6rrolg+qWDFaXFgHgtKKMzqxiQnYl47MrGJ9VSdDXLCUrDofRKbCno8d++46O+jzZ2brHPj0dnA452aKfWN1cf1X8oXlrDUZrNWY8wNcP2FMZkVaMhlZo2NmxO/FaO75slDcrnqqfBZ5MebAuBg1DKaUOvFn/OdzS/tD9FAEfLfodjlAtUX/hPvYanhLBfTis0/Ohc3CvU/QSafmJNDyZ4qJvyfntW316fuPj8o22+r169Ot1kb2eHMrp7ejF92TqYN8THPDjA+Xnt/cYDTuxg+OIzP1Wcll/TE3XV9flFb97kJIyF1tbprO9poCd9blEYvvvc0j3tDA+q5Lx2ZWMy6pkXNYePM6uhS2HG6fDQeQwp/iLRfV0d+EImIaexz4rqO8FMtLB4xm+gb38Xetbh31+YxEd4LfVdvTgt9Z0Ww+nO8owO2a08WUl0/Z19tzg/7mXn9/eYzSWYaePIDLvpuSyITM13UBn48BHPc5YEwoThYWNhW049Fccepmh/61f1oC+ae4NB9Vz79DrMzIU6WmQlaVwOhQOeWIvRKr4uHzlTkNljk5dFw1jhOKBfUj36NNWrwN+1TWV2Ii0YUS6783HnR4P7jsF+55MmU5PDCqZ3hZyCrcyO1APQDRmUtaQzfaaArbXFFBcm09Vc0bKPo0hPx/snsAHuycAenhLYXot47L2MC4e4I/MqMUyJT2/pywH+B16iJ4dg1AYdpfrwrpuF6Snx6e7y5AZc8QAYzm778WPtHYN8rvJoDOUrXv4W2ugptMhTEenaWuzkjPcDJUgXwxOwzaY3+w4F8ueTY4rhFO1Jl8uWnGoVhwqgkkYpx3FJIaJ/go27JW8kwj+UwP/1O8V1qD8Rd87uE8U1ItEoLxCX9hdzgimBWkBRUa8Wr7fB24PGF0SnYQQgE7ZD+SjAvmpy5UN7U36BqNzT36oXk/ZsxdD2RDS6/emLFenXvxMSP47AyyZ0kcMbA7LZmxWFWOzqvjs5A0ANIU8FNfms6Mmn+21BRTX5hGKdAxBURjsbsxmd2M27xRPA8BpRRgTrNIBfrz3PsffOBgvyf3GtHRGns8bTzhqh5paqKrqmE0nO1vPmJORDk6nnFwxwBgGuPwolx+VOaZjubIh1NgpwK/FaKvR1929a+HYUYyWKmipSlmeGuQnevSDUgdHHBHDNpivsSZRpyZR3939rFKYRHHQjqXaO752/jfx71UIp2rGpVpw0YJTteBQEZyEMO1o8iGAQRQ6/VkwUPGHAM5uHgJ0/FsZA2xqq04F9RLV8g3ToLUNauMXdsMApwt8Hj3Xvd8PAb+e31Yq5ApxAIYJngyUJ4MuY6Ci7fEAPx68JwP+egwV63qoWLjbQkAQLwbUKdBXnox4Eb4MmVJPDFhpnhBHjSjhqBElANgKKpuC7KjJp7g2n+LaPHbVZ2Orjp/hSMzJtuoRbKvuKGjpd7XFg/s9jI0H+FI9/+AYhn5Y7/aQfMDfFoIdJfF1LsjM6CigJ732YkAzTPDGr4VZEzqWJ6bNa6uNB/r6K6HGgw/yDSte/yYR5MvUtaL3Ddtgfr8MAxsnYZxgBHq2r1KYROLBfij+AGCvryqEQ7XpBwCqGRf6YYClwjhp6/QQIIqBDZgQ/8OhMLFxEEsG/M5O3+t/H9HuBqNjHntvfLYt29Y99y2tUN+olzkc4HZCWpp+cu/z6ZfHLYX1hDhoDvc+evM7jc0PJQL8BoxQne7l7+ZQRqRV9/Q37U49VGJKPU9GSpCvPJngTpNeBjGgmAYUptdRmF7HvPGbAQhHLXbW58YD/DyKa/OpbklNz28Je/m4YiwfV4xNLgv6mhgX3MPYrPgruAefK3xEP8+g0+kBP+jrf3sY9lRBRaW+9nu9kJ2lM/fS0sHtkmu+GARSps3rxI52BPnxAN9oq+u+6J6KdaTrd6IL72WkTFmbDPYla0700LAL5rdvV2z6RF9kVEzfA/dqLGkY2LgI4yJspB38fkphEcGh2nAQwqlCOugnFF/WjlO14bSb8ajGvR4AtOKxo5hEMOla8MZO1gTQPf12oj5AHw0FME1dKMedyHzslJq/pwoq9sR77x16m4x0RSBeMd/n08skPV+IHug8Np+9xubbUT0/b6ihI10/8Yp07YlMmVKvU9Vf6DQ+v3OgH/+KOyCBvhgQXI4YE3MqmJhTkVzW3O6huDaPHTX5lNTlUVKbR1N76ow6da1p1LWmsa5sYnJZXqA+GdiPzdrD6MxqKbC3H6bZ6eF+/NofaofiUj1A0eWGjDRFMAjpaXpYnmTsiUHFdKD8uSh/bupyO9pR7DYe4ButdXoYXHdT1yaGx9XtSFmnXH6Up3OAH5/RxukflMN1Rd8bVsF8Q4Pi+hsVbZ3uX51OPb4rI6PTKz0+t+qRzIAxDGK4iBku2sk48PYQfwAQxqnacNAWT/lvw0kbDtUWfyDQqr/SpusCoJeb3Q4FSE3TtbHibXIm2xbD1fPe/72e3IMeohSJQHs7lO3WD1VMU0+R43FBWrpOz/d5dZDv8UianhCHxHToKry+7H2n7cd78vXNRYP+Pta1RzJ1fH5JyjrVeXhA52DfyAflkEBf9KuAO8TMwlJmFpYC+ppT05pGcW0+JbV5FNfmUVqXS3s0tVdsT3Mme5ozk9PjGYZNYVodY4JVySB/VGYNLsfhVY4fkrrptQ+HobpWP9h3OHR2XlaWIiNDT4Pr8crDfDFImY599OTHOobFdZ6+dl/D48ItGOEWaNyVslyZzpQpa4nPaKO8mWAOq3BO7GVY/e97PF0D9EgEqmv0qzPD0E+ME8F9568ezwB5OGYYxHATM9xA5sHvF88CsFSoYzhAvOffoUI4acVpt+BRDXhVHR7VgEOFcNktWITjvf/6BOjA3kfIdhAz3ERxH1Swb5j6Cb2r09TZifT8UHu8YHc88kjcDKQFOnrwEy+HNRD+I4QYpPaXth9piwf6DcmvyWDf7hq4GMpO3qykHApwGia4M1DeDJQ7Q3r0Rb8zDMjxN5Hjb+K40Z8CYNsGFU2ZyZ77kto8dtbnELU7bpWUMpMF9laWTAXANGwK02sZE6zSQb4E+N0yTX3/5In32kdj+oF+6S5gF7icunhuVpYiLQ3S0sAlhfTEYGda3T9Q71zsNvEKxXv2o+1dDmPYke7H5QO40jrNaJMI8jPAlTZAAhbRl4ZVMO92Gzz2ELz1Nry4RFFTo4u2NDd33VYpaGrSr117rXO54r33ewX6ael6/PiA1ykL4KBGAyqFk1Y9vl8141ZN+qvdiE/VkmHVY8VqcduN+GnHJEIi2I/hjAf5+v10sO/s9o9Ll/R84j34UYhGO1L0QZ9nhxN8Xn3R93l1Wp/HK+PwhThshgEuH8rlQ6WPSF2nFIRbugn0G/T33fU0KBtCdXoM/146Uvfj6fvujt593OlSJEgcMaapGJFRx4iMOk4c9wkAMdukrCGLkto8SuvyKKnL7VJgz1YmZQ05lDXk8G68gn7nHvzEa5Sk6HcwdM+8Iz71nVIQCUNTM9Q16FoILhcEAopgpu5cCQQkuBdDSOdstuC41HWRtk4BfnxGm7ZEDZy9U/aBcBNGuKmboXG6AB+ezNSCt478xJ5iCBhWwTxAdrbBhRdAeYWirhby83Wg2NgIDY3Q0NDp1ajX7S0chqpq/dpbILBXoJ/eUc110MaXhkEEPxHDTwv5XVZ7vV7CrQ24VQMe1YBbNemX3YBP1eCza3GpJtx2E36qO8b1K7ANs1MKvxM7nsofQ6flGuZeU+PF94tGIRLT/2+18fjAjN8cuJz6BiAQ0D0A3nhPgNMl6XtCHDbDAHcA5Q6gMkalrksU4usU5FuRZuyW2gME+vuYWg8DXIF4cJ/eKcjX30uhINHXLNNmTLCaMcFqYCMAkZhFWUM2JbW58QA/j90NWdiqI8Okux58A0V+eh1jMnVwPzpYxZjMarxSZE8/P+yUrZdIya+r05mTnYP7zIxOwb1c18VQ5PSinN6uD9OTKfv1KUH+vofG7asAHzgtd3Kq2uTUtYl/O+TaOpgMu2C+Ow4HZGXpV2dKQWurDuzrG+IBfzzIb2np/ljNzfpVllogGssiOf9qenrqvz2evvlcR1LMcNH6/9t77zBJrvre+3sqd56e3VmtdrWSUFiBJAtJVgADviBEMAghkrFxgMeAARMe+3EAjLFf268vXGyubQTYGGyBfY0sA9IFEWzh8BKEhSQQJighaXOY2ZnpHCqd8/5x6lToMDuzO3l+n+ep7eqq6urqmt4+5/uLbApdTI3crws38uhHQl+0YYkWHF5HTszDEXWYwoXJm9DhQUfWe5HN3zfBDQuhYYLbSfs+zoHAB7zIiz89I/+GuiE9+bYFFAoC+YL03jtOFAlgUQEeglgW0oX4IqFv5hx4vf4Ij34DzE159EeF7kMkHofm8NsJM5fy5JcjkR+tG7kNbEEl1jOmHsZt7YAfAZAV9I80tuNAbQoHa1LkH21UMx58AYbjzUkcb07i3oMXxdunig3sSQn8PROzy98mT4joClRnHPV/I3pcZ/9XMiH5AHgIeH4k7mejVL0oLH9iQhrvCwVpvKfIPGLTMjZkXwBBLylymxL7cJvSaD4AC12w9jTQnh7aJ8xcqshtJYogiFLjyIi+7iAxvwCMycGhUAB2DRjHfF+G4DdSAr8ZPfojoujCUA5CteEoU9j2sMAvl2Wl13TRuI1MyGx0mY0uto8+QAgYUO36ujBFB5boDOTv12GLBkzRj0S/Dw1+1L4vGrwNIDRMhI4M7Q9gwwsdeKGBvgu0O7IvMZB48g0dyOUFCnmZh69C/W1bThZoYkAQy8DJPPp+NxH5/QbgNsD6Tfk8HM4fBADm92RF/vbxoX1CM1MCvxyJfhnOD6tE4fvEsmIZIZ60bRpP2pZMjJUH/+D8FA7Wpcg/0tiGkGe/eyfaFZxoV/DdwxfE2yq5Ns6emMWeiRPYU53FnokZ7MjPQ2cedJF0r9GELGAbF7EVDGCABh08VJEwatqvZQQAi/YxiJS4XwAhXyRfoUNASxamRdu1oYWzpIPOqXbN0XTA0VPinsuw/GYLmK/Lz2KY0jhfqQiUikkLXPLeE5sexgAzD2GOSo3jUtD3IkN6rwbdb0F05sG8EXnGSI2trWND+zJC366kCt+WAWMTeCc3ICTmTxHTHO/N7/UTYa/C95sNOeiIoXLSsgDMiRNyGSSfS4n7lMjfMPn5i4UxBMgjYHl0FzpOCBjoS6EvujBFN2rl14uWNvJiPg7tz4kGSto0mBYCJgOHAZ85CIQDT+TQD20EnKHRAObnk7fR9Cgv3wByOYF8VFFfhfzbtnykAnwEsQwwBlgF2ZJncCICAEE/EflK4LuR8PdH/2Iw7o8MLwQir6RdTAR+1G5P5e7ThIRYDrIefEkQajjanMSh2hQO1KZwqC5z8P0wa7lv9Ir4Qa+IHxw7N95WMLs4Z+I4zp44jj0TJ7C72sBk2QXXc/BZHgFzZOQaTBh2AT2PI2Rmqv0sA5AuNinlNwMHQxith2BCPmrRdg1hZDSQRgRdeHHhXE34MODJiDrhQRN+fB4NARg4NB4u0DXHyETdxSl3Y2rrKDQNsB25AJE90Jeh+UePSruDFlXTzzlAWXXIiQS+aZLAJ7YITEty5qNNZs5Bv9cHQl+2oY062mRq4YwbWxcS+oYdR8vFIl+Nr2Z+3UUAbRZIzC8zjEkBns8BO3dm93EuQ/BjkR+F7jdb48P2uz25HB+OgkGhkIj7tNgvFVe5rd5qwhgC5BCw3EkP1YULJ8rjd3gdjqijyKdR5Mdho4UymqgaLgCG0DLhszw8VoAv8gg5QxDK3Px6XebsMSQTBF2Xi2UJ5KK/d1rkq0dqp0cQy4DhQBSd4ar7QGoy0gBzI6Hfb8oQfrc1OrwQQu5zx4Tv63bk1VdCP3kkrz6xKIRIiV8/jiTT4WNH+ce4ohxCnKOBQSDkGg61d+Px+jnYVz8L++u7cbC+Az3fzpyy4+fx4Inz8OCJ8+JtugZMVCPnQuqx4uTQE8scqr8YYkNAJOCjz24INzK8dyPDuzTGy445dTiiCV24sHg31TUnQQn8rOhPWuUyNlxfh4dS4He6ct4lII0Apgnk0wI/B+RI4BNbEd0c37o29LLFbdMpcuOEfuCCBTNAZ2Zon9AMCLssRb5djr35wq4ANo2rpwOJ+VVE0xLBPYgqwqfEfVro9/ujz9fpyOXYgHFMpQfEIj/y5G96oT9AyGx02A50sANIf2YhYKGDHJ9HTsyjwGdR5odQ5keR5zUYOAKAITAcuGYRLitBsOi/ipBh+mEAhFz+bTodua7263qSp59zBPL5xKsfh/BbgE5efYI4fRaajAgOuO3Ii688+k0ZcthvjCwYBES5hCNaAAGqKF8hI/KRXifvw+ZHtXeFGwl16ZXW4WUqTcvQ8sTb3GdV9LUKXFZBXysjYDl4yEtDcqEIbWcRZ7EidjELTxfS+D83D8zNycix+Xlp3E8Tcrl/biAApVzqS5FfTaIIi6tRiJcxCBgIYSCEvfiC2YLDjFLtVJpdst6OUu0asGPR34kMJFL0CwAhbATMRgAHAbMBzYLtaIhNIkLeL98HWh1ZNR+QBhHDSDz4+Xwi8G2bBD6xRdEtiMIUUJhaQOgPRMr1G7II7ojTMR6A9eaB3vzQvnhcjYV+2phekdFyNK6OhcT8OmFcET4AcL2U0G9mRb83Yi4qRFKI7+hwFAyKhUjcR31cy6l1Yyt8IxiDhyI8vYgGzo43a8JDQcxK7314HJP8CRT4DKr8ABhCBMihzypwWRGapWFkOYNoshAGQMClN2C+lspYZInQtywZvq/y9GOxb0UeAvrhIojTg2lAlCcvKgP7hAACV3rz3WhS4jYjr35zZAsgQBXla8tcw9bRof1CM6IigNFExC5lJiYw7KHXEOsMwWXouHBhwI2EugtN8Ficcphxy1WXldDTquhpk3BZBR4ryCgvFgl1yHXOFl8EhzHEvdbPPSfZ3utJUT8Xifv5mjT+D9JsCTRbwMGDyTbLBKop7311EqhOrJNxn2lx15wFiUV/O+mcI5pweB0FPoOCmIUpesjxOvS4+a5ACEsKfWYjsHMIbFv+PkRjdjDowWcyB9+xgFJZoKhC9HNJaD9BbFkWEvo8iAzmTaSL3bJ+c3wxvvS4iiND+5MaOCUZxj84ruqbpMDYKbIefsKJk2BbwNR2uaQRQubbK2GvRH4rWvfGtLNtd+Qy6NEH5GAVe/JLyWSiXBpoD7cJ4cxCi+1CS9sl/2cIAUu0UOZHUAkPY4o/jCI/jiI/DgENLivBZWUESFkM0yH4g2+Q8uoHXHZKaLXkNiXb1WvTufrlcghAJIKfvPoEcfowBpgOhOlAFHcM7+ehnFykBb4S/G4TLBgdMsV4AET9gUchdBvCLkXe/ET0KwPAVp+UrBZMBDDQj8K/XRjChSaC+Mc4EX8OOtoOdNh29LRJeKwElxXhRYvLipEHenV+k3M5YPduuSh8X6aDpQV+rTbcWtfzZZeX6VQELGNyfK+qMP2qFPzrtp1uSvSPapULwROBLxpwRBM2b6AgTqDAT0Rtc0/AgCyqKaBJo4uVg2/nEMICGJMF9nyg78rUYCGyAn/btiBOs8vlZIcc6opDEAA0A8hNQuQmR0fLeZ04Si727kdGdRaMKXa7QA0cABBGTgp8uywN+HZ6bC3Ka9rEbO5Pt8lhLGndsmNgLjpK6CuRP86jD0iB2e2OztFXVfeVuFdCf8eUiK9nU8EYPFbGrFbGrPEUPC6uR0GcQCU8hMnwcUzyx1DkM9DhQkCPJ3g+xoTZMjkZ0CyM9OoLIbsehKlc/bk5QNMDhOGAV98UyKnq+1GeoGUmOYMk9gniNNH0pIDPoFcfAAIvCdlPCf5Y9ItwxIuiEP6uC3RnR+7PTEriCUkJwilJjwexaJgII8Hehyn60NGHBukVEtARQIn1KXTYFLradhkCz8qRsbYEj5Xi9qfrFdMEpqbkonAcB9Mz/Tg8f74WhekPpLoKEXXlaQL79yfblRdfLUrkr/sOO0yDyypwUUETe7L7hICJLhxeR17INLtieBwVfliG8fM6NPjSW89MBKYD38xFhQUtcMEQRAL/0BGOIEiq6FsGUCjKKvq5nAzZz+XkPgrTJ4gIpiXta0ftj6LlENW9YW4rlR43ugYOALCgBxb0RubqA4AwC9G4GhnS1TVsErG/sa+eGMtCQh/ICv20yG8tkKM/vup+H4YRifti1ptfKgHFoqwXsOFhTObgaztw1PxJaMJDmR9DiR9FJTyISf5EknMvGALmwGN5+KyAYBGeG6Za5Q38rzQNDb7PwXkk9DnQ7QOtduLVV4V9jMizb5oinlBYUdi+elSLTl4Egjh1DAvC2A4Uto/wPkSt9tymLLKXEfutsSH8wMKTEgEgPPNy+E97y7J/nA1LlL9uiB5M9GGIHnTIsDQBVTDVQUvfiTY7A11tCn1WQV+rRGlTZYRs86U+MMZQidrdPuncZHu/L732StzXatJwHA7MkUd58QE5nk9Ws0K/XNogYzxj0quvF9BCFNpgIo7Cy4s55Pk88mIORX4cJX4Mluggx2tRyD6DMDQEhgNhFOByAz634QYGgpBhbg6YieZHug6YhvTYl0oyD5+8+ARxEgwbwhgTvq+8+oMCXxnRvc5YsxnzO2B+Z2QbWwCypZ8S+1YpJfyjR319hyaTmN+i2PawJV/heYmwb7Wi9UjsD1r1FUEgJwW1EZGlqiDfoNhXi72+/4+MhTMLdf0c1PVzcMh8OjTho8BPoCSOoRBOY5LvQ57LHHw9CunjMOGzHHwk1v5FhTQw6SjU9NFe/ThXPxxTmE+eArouJ11yoiFgO1Lw23ZW8Ku8fZpwEMQpkG61VzpzeH9cmC81EYnXW+MLCAHQZ34kX882gnpaRoSADg+m6MGAbEUqi5+x+HfVYwXM6+ehxXair02gz6roaRPos4lNKdhPBccBzjxTLgrOZd69EvnqcdR4r+rxHDyUbNM1oDIh8+9jkT8h0/Y2RMReFIXnoYy6/qRkexSynxN1OKKGHK+hwGdRFMdQZC3YvIkC+tCMEDAAYWsI4MCHA5fn0AsddLpanIfPII31lgnkC1kvvhN1xCEvPkGMIe3VH9XClocZcR8b0tU2f3x3D+Z3ZYX+9oiwZEQt96xE3Au7BGEVZRX+MSl3qwmJeWIIywK2b5PLIEEgB/K0R7/b1VBvcLTbclIwSLog34g0fVjWCKEfrRcKG8TiD4AzEy19F1rYFf/PMkQXBT6LvJhDjs+jFHnybdHOWvsRTQKYg4A5COAsLbQzlas/DsGluFce/r4rC/6ov5mabGgqb18DbFvEER5mFMpvmnJCEnv4dZqAEMSSSBfmw+7h/el8/WgiArcF1qshPPPyTS/kmQhgohe3MVOediXaXVbBCf0p6GhnoKtNoseq6LEqXFbe9PdmJdC0RISfl9ruulmBX6sBtfpwLn7Ik2r7aSwrEfgTE8m6vVHsKqmQfeCczK6Co0F0p+FEFfYd3oiE/nE51mvzqGq9yPrO4CMHT+TQDx10Qwfz8xpORJk2qpq+ZQGFvGyXpzrfODZg2YBBqXMEsTCaDuQmIHITo+PeQn9gXG1ljOjj2u0BquXe+PS4cPte+D/19uX5HKcAiXliSRiGHJQnJpJtuZyNXq8HHhV1S3v108u4gnyeN7q1DpDy6heBohL5qXVnnXerCFgeDf3sTNV8CAFbNJETNdljl9dQ4HPRJKCGHK/DQE+G4QqAwYIXGgiYnemvu9Q8TqZJgb4QQkgdocL52x2ZS8lTv4yx4Neinr2GFP3pqvzKy2/Fgn8d/5EIYr2RztdPbWaNQ+DVc9fqqlYcU3RR0k4AvB952ouo6eehpe1CV9uGLptEl22Dx0rr+4d/k2DbwM6dclEo4/ygwG825b40njc6VD+XGxb5ExMbIB8/BWc2etoUuhgOb9RFX+bk81rU/vYEyvwwcnweFTaHbUYfsGUaiI8cXJFHN8jDdS10Ogw8ul+MRalzBuDYAoV80v0mvVDKHEEsAt0EclWIXHW02OdBEjHnpcV+KxUxNzo9Tpt/QhoL1qiALYl5YtnQNJlPVywCGBFZ6rpJ2H67nRL6bRkSPjgRALJefYxIdTEM+X5pga+el0rrdHLAWGztr+PczC5duHBEHTlehyPqcEQDZb0JyzsGh9dhogeHN4b6GadFfhi1SwphLl3wR0X2dGNENf4Iobz70aPrA72+rKSsroghCedXIf2WmnxYw9598vITBHHE+Em0wssA50noaNvRZxPrvvjcViPdMu+clI06CIFGXQp7JfBrY0L1ez25DLbOLRSy4r46AVQq63QcX4CQOUlnnBSG6CHHazJST9SQD2cwIQ7B4XVMmcegmV5U5yEPjxXQFwX43EQQyjlSI2UwSRfEtaOq+k4uKYSbNqhTET6CWASasbBnP52z77UTod+rIdx56Zp2oiExT6wayoq8ffvwPs4jgZ8S+bHgb4+vvq+qvtfr499TCfxiCSgVEtFfKMqBcD0RMhsddgY6WtJyJ5fLodfrgYkAlmjDEh3Yoi3X0YbNpZc/L+Zg8XZcrXdQ8HPokdA3U4LfAoexJC8X06RXfqFbJ0QSzh9yGdLf7cl1kSraN+jlN3TAdkQcWmia0vMfC//I0GAalM9PEJuNJ6znYpoDO2lmsuEwdGDbNrmkcV05Pitxr9bdER2oOh25HBloM10sJhGB1QlgorIxRX7AcmjpOZmKByTF99BBnsvWeSV+HFW+D3k+h0nMgWkhuGbCtYrwWEkW04VsnRdEUXSdKCIyUxA3Sr3TdPm3cZwoZW6gPk6cOkeCnyAWZkwlftY8Aj4qh38VoSGTWBdommx7Vy6P3u+6UtQPevSV135Urr56nesCs6NbUyKXS4n9Yna9UFg4B321EcyAyybgYgKtMcdowoclOrHot9CGKbqwRBsOr8uwftGAIfqweAc6fGgIYmHNYSBgFkLYUVi/tfgifSnYInL4gVRYf+Tl9wOg3wBqPJmYxJ9Nyy6GIeJJiW3JyYihS+GvDzyq7WQAIAiCWD1sGzjjDLkohJDRXPV6VuDX67K3+yBqnD98OLs9FvmV7OOGEvmMwUMRnl5Miu8JAVs0UOLTKIrjmAgPYIIfjIvpyla4JbhmGYE5olOOkONnGMrxNQhkgcP5WtaYrinDvJ4Y0lVB3DhNLtX6ltLlCGJ9QmKe2BDEXv0RRfmEkKF8abGvvPztKIR/HCrcb2ao3Z4kn0/EfbGQiP1C9Hw9iX1AFuHrswn0MTH+oKjXrhT9rcjT34Il2sjzWeTFLBzehC3a0IULHX4s9mU4vx31Z5aPgp36z0gc1n+S44TIFvDjXBppen25Lnji6VcWU41JQ6qmyXUZ9i9iT4TyTOTzITgXifBPLzoZAAiCIJYTxoB8Ti67Uil5Qkgvs4q2S4v8waJ7wHiRn88Pi/xKRdbY2RAwJg332gRmcRFgyhS8Ij+OMj+KSngA2/jjsbjnMOCyMvqsDM4s2f0mGvNGt7+BFPw86YKjDOnz89mxVE+ny5kiqbw/EM5vGlL4U/4+Qaw+JOaJDY8qklcoADhjeH8Y5ZulPflpsd8b360C3a5cZoZbPgOQk5FC5NEvFFLCPxL7gz3j1wWq1y4roIMdIw/RhA9btGCLZrS0YPMGCmIWBT4LS7SiQn0uGEIAspiP9Ohn8/Y5zNMuVsUYwKKQwUUReSZUfj+PJi6eL40AyiAgBKAbAXiYhCYOGgAMXcQ5/daYCABVpEg96jqgUYEugiCIRcOYHDeLBeCsVJMHIeQYrsR9o7GwyFfj9tGj2e2Okwj7SiVanwAKG6CFXshsNPRz0Iha4erCQ4kfRYUfQjV8AtVwPyr8MHQECGDBZSV4rISQjal+k253u4DgH9XydjASUqXKxS1vbXmvldgftdD4SBDLx3qUGgSxrOj6wiH8QSCrtg+KfLX0F2gh2e3J5cQYz77jRJOTtNgvJN59e1yVuTWGMxM9NokeJkfu10UfTiT0HdGI8/YL/AQcMQ9T9GHxLnR4US9oiRT81pB3f9nbSUWeCZwktx8ATEODH0jXvsr1TxsAXB/ouYlhIF3kT3kwBg0AsgqxSDz8qdx/5eVQi6oVMLSdigESBEFIkR8Zyc86K9muPPmNeuTJb0RLfXSdnX4fON4Hjg+0kjaMESK/Iov8rbfoO0XILNT1c1HXz8UB81kwRQdlfhTl8DCq4ROo8EMo8yNRGp0OlxXhshICLKEF0GJa3qZS5VR9nE4PsYE8ncOviuJqmizaZ0c5/BnRrzz8BiCEACPRTxAnhcQ8seVRA/lEZfR+35fW6FjsR+sd5dlfQOz3+3IZl7NvmiNEfiFZz+VO//OtBCFz0GHOaM9+KozfjIv1yXVHNJDjc8iLWZiiD5s3YSCphBTCQsAc+HDgs9yyePUXDYvC/hdhAEgjRkQACCGNAH03MRCIyFigPk7aKMC0VFQAG6gLYKSiAkYYA0alB5ARgCCIzU7ak797wJOvcvIbjUToNxqjI/GCQI7Rg+M0Y0C5lIj8SjlZX29js88KmNMvxJx+IfbhOTBFByV+DEV+HBPhQVT5PhT5TDbnnpUjY/qpjxeLSpWLIuXS9XE6UWpkOOjlj/L4LcsDhGx7a9uA7STF+qgLDkFkITFPECfBNJNKuqMIgpTY72S9+u3O6NY8Ct9fuBq/bPfXRz6fEvmFJGe/sB5D+VNh/GMRIq7E74gGcqIOm9dR5NMoimlYooM8n4cGHwBDABsek+c83cnHcrPkFIABYmNA+lHI75XnpaIFIvWf/uRpj4dadE3mNlpR4SLTStIC4tSAVDqAEUcIrJ97ShAEcaqMy8kHZJpVo5GI+3pDevZb7eHzCCHbwTWaAA5l9+WcHsrlYaFfLEa56muMzwqY1y/AvH4BDpqALjwU+TGU+VFUw32RuE8K6nmsCJcV4WMFcg5SOfwLTldSefyMyfHPa8u/0VBBXNUFRwdMPRL9TtL6dqj9bdQJh0Q/sRlZbzJgVen15Y+0yvVJ5/2sI61ArHMMIxnQRxGGUtCnxX5a/I/KQVNwDjSbAs3m+Pe37UToq9oBaQ9/LrcOv8+MwUMJnl5CC7uz+wSHLZrIi3nk+Rzy/ERcyTeZfMhevC4rwmOF0yrCt9bExoBTebFIogHUEoSyNkCrnRgGgBFpASolIFqPuwOkogDGRQKocMn0bydNkgiCWO/YNrBjh1zSBCHQjMR9sxl59ZtS8Ifh8Hl6fblMD9TT0TQZnh978ctAOXpcywJ8IbNG5NwfQ4kfQyU8gEn+BHK8hjKOAgLwWS4S+CUItkq5Buk8foONdVQMdsFxPfm3CGuIQ95Gtb7Vlei3pKffHBD7RuqRcvqJjcTGnQGfJrt2yjBp3wP66kchTIp9KFg0A1YhsZlJrTZ6oqsW+i0gAPldKJXkMgohZOjfoNDvdCLPfkcOVuNQ7ffm50fv1zRZ3beQlx79Qn5Y/FtL7z63cjAtbsFX08+LNxuihwKfQZHPoMSPocqfQJ7PocBnwRAihI0+K8Nl5dWbfKw16arFiyQdCaA6AXCRdAdI1wZQX4lMh4BUOoBa1zVZ+ChdKFAVBMzlOMJQjPztTCZa6+XLRxDEVsTQgclJuaQRQo7DSug3oqXZGh11x3lyzKA337Zl7Z5KVMOnUonq+ZRWP8JO5tyfg7p+Dg6ZTwMTAYpiBkV+HMXwOCb54yjyGeT5LBg4fBTQ18rwUFzzycJSuuCkRX8QyLkUDxMjdzy2aYno11LRbbYFWHY2ui3d7UaNc2TQJtaSLSvmX3qjhiAQcF3pxfI9GfLs+dGjl3qMwl3dvpCtzCKLbL8PeK4U/54fVfxMLUAqPzb6xdC14fBWPV0JO+X5IrYGjEmxnc8DO6aG9+dyOTQavVjcd1Ie/Vjwd5Pv2CCcJ2H/GFOV3zAiYZ9PBP7g87Xu3RuwXOxZAAAIAUfUUeTHUeLHsD38Mcr8CAr8CQggatUzgZDZa3rd641TjgQQiac/nQ4wLiVATWs0PUAYRhEBaUNAyiCga4srFjhoEMhEU2k0mSIWTzyZV99jIC6CuRjU2M7Y6HVic8CY7FZTKmbz8tW43GgkHnz12GoO54ID0mB64sTogrnFQlKoNy34VytsXzADLbYLLW2XVAZCwBENlPkRVMIDmOKPoBCeQAnHIKCjzyroswo4W+OJwQIsVvSnw/tVhFu/L+dVYVTvJm3YZikjenpRBm0jinAbqm2zwJyfCv0Rp8OWFfMAYERhPAtk9g4w/J8tDEVsBPC80YvrqkeBbk8W/uh1ZRV0ZSzo96UBIAiBMEh+MFRUgKyOnTUEpFtjqUf6PdicqPznanX0fs7l96kTif1ON/Huq/VR1X0VQZDyJixwDYUC4vz9jPDPr0H+PmPosyr6WhWzeAr24TrYvI4JfhDbwh9jKnwYZX4UGnz4yKOvVdaFV2HDojoEAEuqEGgaDH6QGAFEum1gJJ78yGOS3jcqMmAhg4AqGDjoQRlMDRj5qCETjklelrVHGYYyRvJUBB0PhyfgPDXxTn9/AMQbRer8GkNc+DIW5EheOPgNEANP0gYAEZ1TvfHgd3cULCUI0l5BTR/ePpjmQqw9lgVMTcklDedy7FXivtlM1sfV0GlHhvmjx7LbNU0aEtJCXy0r2lKPMfTZBPraBGaMS/Bj8UIUxQwq4UFsCx/DJH8cE/wgGEL4yMFlFbisuPydaVaDVHj/SRHJOJX+zVnIoJ2u6p82BGQM2rqI8/rV2GUa0bikDzv7Rhq3KcJty7KlxfxyoOsMur7YXKjh/2hBIGLB73rS06/WVfi06wK9nkCnKweIbldGBgRpI0AgDQGj0gLMER6vuOo1/d/fFGhaUhxvTOt4WZW/G4n9SOSnvfudzujcQIUyTtVq44+x7VRI/4Dwz0ePK+nhd7UJTGsTmDYugy5cTPCDmAj2YQd/EMVwBiUcA4chJymsvKFz7TcaKiIAWFq3gDSxF5UPRwkEgTSqDhoN4vfH8KRKTaxYatE0eYyuiyEPijIOaLp8nZ4SXaMWXU3YBhYyFIyGMSl6en3598ukY6SiMEwDsAqAE4XA2ulHi2X+VqNqPQz9Pdjw9yEW9APRdXFOrshGp8QT+wEDw2DEnjLaB76IowJdtfQjx4CbvNb3EuNFEL0+UwdDKENWMs4bhnQ0BEHU03sD6quNjMqbL5WAswZKwvg+0Gplhb4S+6MM7pynivANoFL4VKh+LPRLcuxd1vkd09BmO9HWduKIeQ0M0cVEeCj22hf5cRS57Pkn2+CVV6aY3lqjxDew9LaFA4aA9Djm+XKuP86gnTpF1pA9wiCwUISbGsvynoDvi+Hfxc3299oi0Ex2jVHRAfn8yY7M/gcLQ5GI/r5sgeW6UtwnjwKtliyE1WrJbcoIoBY1sQVUEazkR0CFC5kk/DcFprlwCz4R5U2nRf6g6O92xxfrAxLj00KC37ISkR8L/5TYz+eXJ4c/ZHbcqudxcT2KYhrV8AC2hY9gMtyHSb4PEEDIKuiIPHwU6Eu+zok9qEtsHzhEWoSl1tUEKhRA4APCTe1Lh2NjhNdFZEXh2AWApgspwMZ4WWIDAEvEpqYBORfQDGAN62itKNdew3DxxbIKuW0nxRhVV4Z0a6qNH5Y6/vqFEFLI+zJqJUhF/yWRfsmY3u0INNuJodb3gWaLx+vpomC6PtDay0jf01X54Fsa0xyfm++6UrQ3m1mR32yONrSH4fhuOCOFfgkoLZNHP2B5zBoXYda4CI+L5yEvZlHhh1EJD2B7+CjyvAYDRyCgRSlvFUp5Ox1DgGJEZJuKDvDTBoERHXCyc30fXAwbs3VdxPUA0l0BxqULaPqwsZSM1asPifkNiq6zOM96PNn/UL4vZK5/L5kE9Puy+Fq/D7Q7Ao2mzPfqdKWhoNOJJhMDwp+xxFNVyIcIw6whgEIBNx6MyQgTxwG2TY4+Rgj5XckI/q4s0hevn0TwKw//uHZ8AGIDlxL78XrKAOA4S/iOMQ1tdiba2pk4ZD4NFm+iyvdjItyPM9njyAUzKEPGN/rIwWMFeKy4rvMBidMgLayX8bRDwn+EIYALIPQXPg4YnmwLANsYIJoClyzjNa8nLr2EJoGANFQoT/vi2pkn941zgX4fsJ0Cjh/z0Y1S+ro9+TvdaAhZsb0lIwD6vcRokCZj0E8b+MmwvyKkx98zBqLrhJDj6qDQb7ako2bUeLug0FeRA0rglxLBXyicwtyNMXTZFLraFI4ZV4CJEEUxjXJ4GNVwH7bzH2dS3nraBBnPTxWV7naqBu3IGKDrDH46tW1UhADPGrCjt4+jgTLRbCpKADLdLZ0uoFLfBjsLjEp1y6Qc6RTJtlhIzG8hTJPBNOWP9miS/zBBIGKhHxf9i0S/3C7i6utBoKHRiMR/V3oR/GDYGjjY53ow558MAOsfxmSru1wO2L5t9DGjBH+3mxX9qrDMOIIgmbCc7FpGif7081Fh/Z5WxrR2GaaNy3DIsaB1D8g2PaGskl/gs6jwQ9AQQoDJHvfIb/g2eMTKstIF0PQO4C+UhE1seTRNGvqrVQ36yBxauU0IEY/vqt6KEv6djpCt2RpyjPc9uc/35W9z+kzK028Yw4+n7H0kMjCW1KfZdWZ2n8rPb7YGRH4zak86SuhzWZm/3hj9XsViIvJLKbFfWmTVfcH0uJjeEfOaESlv0yjjKDhM9FgFLqtsnQ40a01kDDB0QJyqryId1TZQDDcUQOACop9KFxDjUwYYRkSvqWi0yOCuG2Jk8XDDWDjNbeTCBlKsNomxgGalxEgMg6FYlD/qo0m+/NVqATMzbiL0Bzz+siqoiNusdTpAz1164b9Rj2rCQAbe9cNiBX86pL+belTCv9PJThxHnUMdvxCmOVrs5/MynHdyUgNjZ6JtnIljURVfC+24r305PIoKPwBHNOI2eIAGj+XhIw+f5RGCYlQJgtg4MJZE9w3/TCe/ZWGYiP5eDxlPf68rvfxKOHrpaD4/KgLGEk+eaQynS1B4/+mRzs/fvSu7Lxb6TenBb7ZSQr812qAuhNzXao1+v1xuvNC37dF/y8GUN9ladj+2hY+iGu5Hle8Dg4DLSuizCoJNm0i0SUilC5xevhuStIGBVLdMypuXMgoMRLBl6uAkp1SXGYn1k6e9xfVZ0nVaRtRYSRctVet2X0DXBazTvBWnA4l5YllQXv9xvdRPlvPveTLv3/Oiln/R834UAdDpyA4AvX5iBFBF/8KBwn9x7v+Ihar+rw8WE9IPyO9B7NXvDot+VQxyIXz/ZJX6+/H1SIHPkM+XouUC5HNAPsdRzTWx3ZpGAbMo8mOY4IeQ4zXkeA0afAAMAWz4LAef5RAgR94GgiA2NLq+kGE/GUiFkGN6L2rplTYASM+xQCPyBrt9Kf59L4niU8Z7K9XaKy34KWpv6aSF/iBCyHG11UyJ/GhpNscb0tXfdHpEm1vTjNr4KaEfrRdLsjivrgNgGlr6brT03ThoPgM2b2CCH0A13Iep8CEU+Qx0uECQQ4cX4bISRcNtZlTawHIjskaBcSltHDLtzRuTFpduVTruMqsM0OaBpzxvBT7HIqH/IcSasLicf2CcESAu9Ocm3n+1dLoi9hQoL4HblZ7/war/iLwGeqoacJzro2eNAGQAWH1U8auJifHHcJ4V92nhn36+UKV+IZJJytzIIzQAE9C0CeRyFyGfA3J5gVLOx0SujUmnju32LM60D2K3cwATxhxMdhwMAgJAgBwC5sBnDgI4NDkhCGJTwRiLDbTViZFHAJCi3/Nk+H63l7RS7XSAVktgvibFpAr994OoiB8Qt/4bLOKnQvtJ9C8expIOOGcOhO6rVLnWoMhvJcWUR+H7wHxNLqMoFFICX4n+YgW10mU47lyGR/EilPkRTPCD2MmeQMF9Anm+HwwcARy4rES1bIjFEXndV8OforeBYIG00dWAZpTEhmKphf84F7HodwcMAKryer8v4l7s7bYUfkEgj1fh/0GYPbMA4hyewb7WlC+4umgaTpISEhV28VIiv5esu66GVovLsNFe1hI7iApb7HQA+W2wAExGy3kAromuSaCY81HO9THhtLDNmceUfQKTzjy2O3OYzNVRtZso2C4CzUGAHHzmIMSYOEWCIIhNAGMMti1DsseF9yvBn/6dTv9uN5sCzQbQaMlxelxov8y3TXp2D+b1q1BZIks6VW7HiFa3qr1euluSEvvt9vgxVI2dx6eH9xkGUCyYKJXORbF4Liarz0XRqmNX4RjOyh3ALv0RFPk0JvghMITg0OGxIlxWRIAc/SGJLQ2JeWJTo2ksHpTGkx0EVDXgwbZ/6aXXF+hG/dmVAcAPADfK8/YDGd4DpEL/R7QCognF6sAY4glktZrdl8vZ6PV6AKRY7/eHJ5G9nvQe9aIJ5TjPhIJzhmbHQrNj4TDKAHaPPE7XQlTsDqpOE1WnjqrTQDXXwITTQtnpo5RzUcz5yNsBmEbhIQRBbH7Sgn8xXn4l9FV0larZ0+0JNJtAuyXHalWnRRXp5Twb4m8aw+O0ZZFhfpBx7fWAyODdleK+nRL4Svi77uhzBsFgUT4fQAHABQAugG1dh1KRo1rsYqpQx5m5Yzgn/wR25Y5gZ34/LCOExwpwWYkq5RNbDhLzBDGAqga8lLZ/nMtJhar6P1gwqNUWaNRlaxmV591sSQs35wsXCdJ1EfewJlYWTUuK441wG8WEYVIFuheF8qu/dSz8e+MnLvF5uI75XhnzvTKAs8Yex8BRtjuYcJqoOk1UnDYqTgflXA9lp4dyro+i46LkuLDNBfIJCIIgNgkZ0V8deUS8poR/uoJ/eoxutwXqqjVvJPzbbdmqKy36zSifv1Tm4DwZp2l8lmhaFEpfBHDm8H7Pk6K+nfbqR1GR7TFF+QDA9RjceR2z8yX8GCUAe6Ai4QCgaPexozCPHfkTOCN/AlOFGrYVOigXPZTyASyD2oAQmxcS8wSxDGja4vIFAcD3RSz6BkO+G81skaB2G2h3eBTWnUwoLFMK/kHhT/mCq4Ounzy0H8iK/u6A4O+mJpIn8/QLaGi4JTTcEg40Rnv5FY7Rx4TdQjXXRMVuo5zroOJ0UXZ6KDl9lJw+io6HouNC12iCQxDE5ict/EfXYMm25u32ou473ST6rtkSqNWAWk16kjttoDZQxE/XklovlgVYthyfSexLLEsWvR1V+FbVrmm1ANczMT/vSw9/Wwr+bnd8CH/bddB2d+GJ+V0j91fsJqYKdUzm25godLGt0MZkoY1t+Sa2FVqwjQVa5xDEOofEPEGsMqbJUKkAlcqovUn4oOvKwcsw8jh6zI8rubdash1QvR4Jwy7Q8KMiQamifoYqEmRlQ/upmv/qsVjRz/mwxygj+rtJ1MeovsFp+oGD44GD452pBY9Le/sn7Fbs7S+lhX+uj5LjwjFDsBUpOUsQBLG+MAyGctRyLUvyG5jPF3D4sBd321E1d2p1WcSvUZe/142G9O5nPPsW4ESGBcsiI7yCsSQyLpcz0Ov5mf2qZk3syW9nvfrd3vhzN9wyGm4ZmB+9v2D1sK3QwmReLtsKrfj5tnwLeculeROxbiExTxDrkExl4KqOcjk9imS9/J1OUvlXefjbHYF6XYb1t5qIiwn5ftJyRg1MupaIfstMPAo0wVg9NE1W+i0UFj5OCBn+ORgiGqd19CPh35MTyAXPlfb2n+T6dBZgwmmhYrfko9NG2e5GXn4XRcdDwfFRzvWQN2nSQxDE5sa2GSYn2Yi8cfnjFwQiIzhlyzeB2Tlgdjap4O96ibfZMAA7Gn+V0KdOOgkLtdoDZKHitGFlcFlI7He8HDpeDgdrIyr+AbAND5P5diz0leifzLcxWWih4nQo0o1YM0jME8QGxjQZJiZGhQ1mK/pnhF8/We90o7D+mszhV3mCroe4TydjiVc/7v0beftJ8K8ujCE28mBkjmhCEGS9/f1I7A96+hfj7Q+FgbleFXO9k7wpAEMLULYjL7/dQyXnomD3UHJ6KCuvv91F2ekib7kr02OWIAhiDTGMUWNzEnnX68kWfM2W9N632sDsCSn2Ox1piPe8pKVqXMTVSoq5UpRdFkMHKmW5jEKJ/U7KyNLphOi1A7TbDK2eCSFG31A3sHCsOYljzRH5AQA0xjGR62RFfr6FaqEdb8uZJ7GwE8QpQmKeIDY5msYW8PomA1cYiiSUPxrsOh3pTajVZB5/3Pu3Lr38yg7NWMqrbyfeBRL7a4dhLOzFUKi2fUOFGyPx309XiXYXbt0HAAE3MN+bwHxv4qTXqLMQRbuPstNFye4lIf62CvWX2+X+PnRtjZu5EgRBnCaMJUV2d+7M7IkL9WV6vLeBel3gxAnZw73TkY9BlKsPls3Tp/F3NKPFvh4tSSX+XsuD327BbfXQ7UihX+sWMNetwOeje9xzoWG+W8J8d/yAmzNdVJXIz7UxmW+jGgn/ar6Naq4NQ6cxjlg6JOYJggAA6DqLxV9mfjGqDVA3CRNUgn9uTk4w+lHhPi8VPqiKApmpiQYV7FsfpNv2jS4MlcB51Jqxl/Xs9/sDof49wHXFWC+HIhQ6Gv0CGv2T5BdEFKw+SnYXJaeXiH9brWe3OaZHXiuCIDYU6UJ927dn9gCQ4fsyZF+K/WYTaDQETswCtXpSOHdo/FVG9uiRvPrDJJX4LWTa2QgBRzRQCJ8AejX4rRbcTg/Njolap4DZbhWzvQnMdifR8saPZT3fRq9h42hjdKscBoGS05WCPxcJ/GiZzLVQzbdRcbrQKJyfGGBVxPx1112HI0eOjNz36le/Gn/0R3+0GpdBEMRpsHAbIDkr4Fx695U3odmUE4v5miwK1GxIsddoAr4XefYFoOlJ+CBNNtYvmgbkcnI5GZwzuC7AhY163Y3D/KX4F3B7AdweR7evoefqCPnJLTsdz0HHc3C8dfL3N7QgK/LtHooZ0d9D2e6iaEsDgWVQSz+CINY3hsFQrQ6Owcn4m84ZVz3e5+YF5udkdF2nDcx72do5SuQ7FL4/GsbQZxPoaxOACaAMQAhURANnilkU+CwK/HFM8IPQvCZaHRNz3QrmehOY7u7ATG8bZruTmO+WUOuVEHB95NsIMDT7BTT7BRzAGSOP0RhHxekkQj/XQTXfikL825jIkeDfiqyaZ75UKuG1r33t0PZLL710tS6BIIgVRtNYXL0922JWzgzCMJpsdKTg70SPtbrA7Amg3sxONlhUAjgTQkgVgDcEifDXUMgP7mWQsyJJHOrfB7yuh6DXRdDrw+sF6Pc4+n2Bbt9Ay82h6RbQD+yTvn/ADdR6cvK0GGzDl17/QdGvntt9lBwl/nswdRL/BEGsHzSNjUmtkuOv70uvvgrhbzaj8P1ZYH5eRtup8H15PinwVZ0WGndTKIGPCczrF8htQsBy2igUZ1DkJ/AkfhxX8B8iz+dhig50eOBcQ82r4nhvJ6Z7OzDbnUStV8Z8t4hat4j5XhHNXgECo60pXGjJuDY3+tI0xlHJdVDNtTGR68Qh/BN5ua2aa2NbyVuhG0OsBasm5svlMt7+9rev1tudlCfmH0TIA2wvnImSPQFDG50HQxDE8qHrDOUyUC5jQO0nk41mM6n+22rJycbcvJxs9PvDFYA1bThXkEL4NxbpUH9ULADW8EGCw0IHNp+D5rcQ9Prw+x6CXg9+z0Wvr6HVd2LB3+iX0PSKaLoFcDHaE5LGDUy4QQWznZE9I4ewDW9I7BdThgAl+ovRMdTHmCCItcQ0ZfX9bAX+VPh+W0bPNZpS6M/OCUxPy/X5+aQwLiJvvu1E3nxH5qNveRiDhxI8vYSafr7cJgRMdFHgJ5DncyjwGZTNwzg3P429fB9MyBL7Ahp85iBADn2Rx2xvEvO9CmopkV/vFlHryectd8hCHsOFhlq3hNoC+fsMAmWni4lI5E/kpJd/ImUAmMh1aNzaIGzZnPm7fvzPmOkcRs4owDIcTDjbsS2/E9XcFMr2BEr2BIr2BMrWBCzDWevLJYgtgWkybNsGbMuklGVD+NvtJIxfFQaanwdqtSSE3/OkQBQiyRccFPsURrjBYFo8UYIOIPWzrAOoCA87RAOOaMAWTTj8KHJiHvlwBsLtodvX0elbaLkOmm4RdbeEultBwy2h6ZbRdAtougV0vMX93ruBBTewFi3+Td3PCn67j4LVG9qm1qnSP0EQq4VhMFQngOpEeqv8Aer1ola3DaDWAGrzAtMzwNy8HItPzCYdUQwjEfhONO5u6bGWMfgooK4XUNfPjTdrwkNO1KTAF7PIhzOoiCNweA1lnMBk7jCQE0AV4MxAwGwEcOJHj1uo9wqY7xZRjwR+LSX2673CgoJfgMX1ag7Uxl9+znSluI9EvhL7ygAwkeugaPdorFpjVk3Me56HO+64A9PT0yiXy7jyyivx5Cc/ebXefghDM2DpDgpWGW7Qx/HWQRyoPwouOBgDNOiwDAe27qBoVbC9sBOTuR0oRkK/ZFVQtCdQMEtgW/qXiiBWh3QI/2AFYCAJ4VdefZU3OD8vxX69KcMIazXADxKxXyjIcOl02x/y6m88Qmahy6bQxdTQPpYLYIsWnEjsnyWauJDXUOA/REHMwhQ9GKIPHR5CrqHl5VFzJ1Hzqqi5E2i4FTTcItpeHq1+Di03h7broOXmFy3+/dDEfNdcsNpx5poZR9Hqo6A8/FYfFf0Env7kI6DkNIIgVotcjiGXA86Mo+mSSLpGE6jXsyH7MyeAbpRC50XR3Cr6SoXsO1t8nOXMQoedgY52Bk4AcdaZIXrIiRps3kBONGCLBgr8BAp8BrZoIcdrMNAHg8DOHODncvBZDj7LI4ANsOSm+qGOeq8Qi/ta7N0voNEvYr5bWDCkH4iK9vn22JZ8AKCxEJVcV4p8p4OJXAeVWPhL738l14Fj+FvbsLOCMCFO1mjo9BlXAO9Zz3oWPvCBD2BycvyXhHMObQX+x9/89fdgvjuDneWzR+4PQh9u0IMb9uVj0EfAg/grbxkObCOHnFnA9sJOTBXORCU3iZI9gbIzgZJTRcmegE1efYJYF8h8QYFmU6DZ5Gi2BBpNjhMnBGZnOdptgb4rkirsAtANFf4dFf+zWOTVpxFp0yA4LNGCzetweB02b8DmNRTCaeT5DEzeiYS+G78khIWQ2QiYA1fk0HAraHl5tN1cHOofP7oOWn0nEv/SCMDFqY9pJaeHu7+1G7q+dt/BlRqXCYLY+Agh0G4L1BsCtRpHvS7H2KPHOObmOfo9gV4f0prOAMdhyDlMPuawpr9t6xld9OHwmlzCOeTDEyiFB5HnszB4Fwb6AGTIfqAEPssjxPjwiIBraPZykYc/j1q3EHn3C6h1C/G2gJ++79c2/Mi7Hwn/fDd+HhsDct0NF9qvtQ8jLOzG09/1njW7hlUR8x/+8IdxzTXX4IILLoBlWXj88cfx4Q9/GF//+tdxxRVX4NZbbx07Oa7VFoj/WCTVanXoPJ+47/9FrXcCO4pnLfl8XHB4YR9e0IcbuvDCPgLuRZW5BfTI62/pDopWGdvyZ6Cam0LJnkDBKqNoVVCyKyhY5U2Rqz/q/hLLB93flaVarWJ+fh69XtTXN5WzPzcvMDsrvQ6eJ3MG4yrAyLbao8J8o8nlcuj1emt9GaeGELDQhsPrcEQTjpCCv8BnUBQzsEQHunBhDAj9JCTSQQAr4y3hAuh5diTsc2h7Dlr9ZL3tOnI9Ev8dLwc3SMaJi3YcwSduOyseM5fj96E63J5iQVZqXCaWD7q/Kwvd31PDdQXqDenNr9dl5Nz0DDA7J2vi9PtS41uWCQYfTg7IOXJ81SkvfySG6CHH55EX88iJeRTDGZTFYTi8DlN0ocMHBBAwGx4rwGcFMKMAP1xcEVchgI5no96THn65yPVG/HzhsP6l4JguJpwOKrkuKo7y8ndQcbqopB7Xi+g32kcQFHbh0re+I9622uPyqoTZv+1tb8s8f+pTn4qPfexj+MVf/EV85zvfwde+9jU8+9nPXo1LWRY0psEx8nCM4S+uEAIBD6TYD/uY783gePsgQp586Qzdgq07sHQbJaeKydwOVJ3tKFgVFG0p9gtmCUW7sinEPkGsdxhjyOeBfB7YmekIM1wFWOXqNxoCc7Myb7DXkxX6vcHCfGaUo28l6zQh2UCkCho1B/fFQr8Rhe8PC32bNzNCP4CNgNnImQ7KloOwtLiEUi/Q0fEc8NYcqjsLYOzXlvdzrhPuPfwf6PkdbMufgWJk+C5YZThGnqJhCGITYNsMZ+wAztihtqRC9htArS5FvutZePxxH7Ozsg5Ov4+k+J4tBX4uJ9e3+k9DwHJo6bvRwm65wUQ0PnWQ53PI81kU+Awq/CBK/DiKfBpWGCIMQ/jIxQI/ZCMKz0Le36Ltomi7OGtiTAl9AH6oodkvoNHLo9YrxkK/0Y8ee3nUe0X0g9Hvo+j7No77No63xkdtA4BjeKjkOig7SvR3M4K/HG3Lm+6m/46sWQE8TdPw8pe/HN/5znfw3e9+d0OJ+YVgjMHUTZi6iQKGcyOFEPBDF160zLSO4HD9cYQijNpwyddbugNTt1C2q5hwtqOam4q9+gWrFD9aukOTHIJYYRaqAiyELMzXbEbF+VKF+Wq1aGLiypZ7SuwLyAHSMiOhn1qoKvAGISP0ByK8Mh59KfRzvIYCn0ZRnIApesjxehS6zwCwWOgHcOAzBxxJlUbLCGEZHZhiFj4rrPpHXS0eOPpNPD73A+StEnRmwDJsWLqDnFlA1dmOam4HylGEW8GqoGiVUbDKyJkFaIxCYghio2KaDNu3A9u3y+fVqoNarQffl8X3anVZ72ZuTuDosWh9HvBcOZ6qVqiOI4X+li9yyxg8FOHpRdT1c+LNhuihwGcwaTZh9fZjgu9Hgc8ix49AQwABBo8V4LEifOQh2OInJKbOsa3QwrZCC8D02OP6volGP49GJPRr3QKafRnSL4V/EY1eHl64sDOzH1jotyxMtxb2YBtaIAV/5OmX4r8bb1PGgJLdg6HzRX/e9cSaVrNXIQQbNgTzFGCMwTKcsRXyM2KfuzjROYojzX3Ssx9V7DI0E6Zuw9Jt5MxCLPZlGH8JBbOMglVC3iqhYJaga1u2aQFBrDiMMRQKQGFIYw1U4e9Isa+K9DWbAnNzSRX+bjcS+zwR+7YlK/FTy70NRkbo78nuEzwqxieFfk7U4fB5lPg08mIWlpDeFA0+ZAMhLa5iLODCX5MPtDrYhoPthTOxo3AWQhHAC134oYu228B8dwY+/x7k/w6AQYMVjYO2kUPFnsRk/gyU7SqKdjkaB6Ox0CzB1Bf2BhEEsf4wTYapKWAqrmsqx9V+X2C+JsfPWh2YmRE4dkyOsc0m4Ec/lLouxb0qvLfVRX7Acmjo58Czc+jxn4g9+AU+jSKfQYkfQTXcj5yooSSOAxAIkIPLSnBZEYKdvp5wTB+O2cAZpcbYY4QA+oGZ8e43IrGvHpuRQeBknv6AG5jvljHfLZ/02gpWLyXw5ePgUnG6yFv9dVXBf01V3ve//30AwO7du9fyMtYVixH7Afdjwd90a5jrTsPnSXyvjA6wYWo2LN1Cyaliwt6GCWe7FPtWGXmriLxZQt4sIm8WSfATxAqRrsKPESH8QggZph959FXrvXpD5usPtdyDlDO6noh9x5aP5NXfADANLqvARQWDUxkmZNX9nKhJjz6vIcfnURLHkefz8IWDAJu/qCpjDAYzZZqZWRx5TMgTsd8Pemi5T+CJ2kMQgkf/tRhMLYlyK1qV2PBdtMrS2B0Zv/OWHAvJu08QGwPHYdh1JrArVWFfFt5LQvVrdWB6WmBmRo6rjYbsZAPIsVLl4zuObKm3JUV+yoNf08+X2wRHXsyhxI+hFB7DNv4YinwaeT4HhhABnEjcl5ZF3I+5LORMHzmzjp3l+oLHKk9/M/b2J49Ntb1fQNvNnfR9O56sU3O0sW3B4zQWouT0UHG6mDDm8cy9j61pl5kVV3CPPfYYduzYgXI5axG5//77ccstt8CyLDz/+c9f6cvYNEihbsHULeRHhPEDABch/NCLJzozrSM40ngiyttnEODQmSHPo0XnMksoO1VUnG0oWmXkzCLyZgE5s4iCWULOLFIoI0GsAOl8/R07MnsApFrutZLCfK227PU7OyeL9jWaMpRf9fo1VRV+6vW7oRDMQJ9V0cdw2KAuPNSbDex0TFy++pe27tA1AznNQM4cnXbABUegxkHuYa47jeOtgwi4H0e5MSa9+6ZuwzEclKwqJnLbUXEmpdHbLKFgFiMDeAmOkacxkCDWKYwxlEpAqQScHQdESZHfaiUCv16XIv/4dNSutg4EMhAKppFqn7dVRT7TZJtXbQrTxmV4TDwftmigzI+hzI9gW/hjlPgx5Pl+MHD4yMFlZXisuKSw/OViMZ5+AAi5hmY/F4v7Rk8J/fzQtpNV7+dCR6NXRKNXxEHswCPz5+FnAwHDWJsvy4qL+a985Sv4xCc+gac//enYvXs3LMvCo48+irvvvhuapuEP//APsWvXrpW+jC2FxnTYRg62MdoKJYQAFyG80EPAPfihh/neDGY6h+GHPgARu/90LRH9djTZKTtVVOxtsXd/p78LQZ9HXn4KZySI5UTXGcploDwUISYHDdeNJioNGV5YqyW9fnvdgV6/iCrwR6H7Ngn9DUPILLQwhSppyUWhMW3BKDcg5d3nHtygj5Z7AAfqj0Y1bKQIMOIx0IZtOCjb0ug94WyLPfpq7MtbJeSMAnSNQmQIYr3AWDKGnh13o2bgXI6dsSe/BkzPCExPA91eJPIjT76uRwLf3oKdaxiDyyZwQpvACTwFj4vnwhYNVPgRlMPD2MYfRZHPoMhnIMPyHXisCI8VFmyLt9roGkc130E13wFwYuxxQgB935Ie/n4erZTgH1xabg5caLh450EYxt7V+zADrLiYv/baa/H444/jwQcfxL333gvP87Bt2za86EUvwute9zpcdtllK30JxACMMehMejWA8a0kVGV+KfhduEEfbfcADjZ+nOTwQ8AybYgQsHQbhmYhbxVQticx4WxD0apEXv7E008THoJYPmybwbaTwkHp8P1OR3rtm00ZYlivS6E/Nw/0o1Z8vhe/JPHoR159a4vnFxKbm9i7j9HefSFEKnffi8L569hfeyRVtFYa0E3dhqlbsHQbRbuCCXsbys5kFMpfisbBEvJmAXmrBFOzqHgtQawhmsZQqQCVCoC4Rlwi8ut1aSSvN4ATJwRmpoFWR9a/cd14Chy3plXLps/Lj8T9jDaBGeMSPCaej5yoocyPoBQewyR/HEU+jTI/Cl344MyAy4pwWREBcuv+5jAG5CwPOcs7aYg/FwBvnIBR2Q5gE4v5a665Btdcc81Kvw2xAqQr848LZQQA27bQ7DTghx587qHRn8ds5zgC7kFAqHpF0DUDhmbJc2oWSvYESpGXQxYpyob1580itSQiiFOEsSRXf3cc/JQU5Wt3gGZDtdkDGk2B2ROy32+vJw0Anp+8yjRlXr5lJQX5qM0esZnJ5u6PPkYJfjX++aGXpLaJIB7/gCRFztQsOGYeZbuKsl1FyZ6Ix7ycUUiluRWoYw1BrDJpkZ/UgWdxfZt6Q46d9bSBfE7Wtqk3kuJ7qmONtdkj4RhDj02ip01i2vgJAIApOijyaZT4MUyEB1Dl+1DgszDQh4AGjxXhshJ85Df0DdEYYBke1rrjPVU9I04bTVs4rB8YnvAEoYcTnaM42jyAgHvJcQBMzYShW7A0C5bhoGRNoOxUUbYnI9FfTCY+ZgEFswRTt2nCQxCLRNMYyiWgnCm7kRL6UUXgRlN675uR0J+rSaGfrrwPRJX37exi0OhCbAHSgn+chx+QOfx+lNrmhR7abgO17gkE3Jde/ii3jTEmjd5RPRs7GgNLjhT+ObOQEv0FONFzyucniJUlXd8mXXgPkLVt2m01XqpoOCn05+el0I8j4aKXWWYyXlr25oqE81kBNf081PTzcNB8BjThxd76cngI2/hjyPMaDBwBwCLPfQk+CpvnJqwiNN0iVoXFTnjiav1xaH8PLbeRhPYnZ8wU8HPMPCr2pCzgZ1eSHEYV2h8Jf0NbuG8lQWx1NC3JL0y6p2cr76uq+6ry/ty8nLTU63Lf7BzAQ/lK25Er6TZ7mz4MkSAG0JgG23Bgw1lgBEwK2MquNR46XhuN/jz8mgcuwuRAxmAwA4ZuwYza1RasEkqRt/+M6pkIXURjXx65aCzMGQWqa0MQy4yup0L2Y7KRcK3IQN5oAo26wMyJROg3lEdf1uaUkXBW4tG37Y2do8+Zhaa+B019D2BeCyYCFMUMSuFRVPghbAt/jByvoYxjca/79SbuBQRCcPjw4SOAzwL48BEas7DZySvlryQk5ol1Rbpa/7iWREDWy+GnvBw+98AFVynAUS6jBUOzYOkW8mYRZWcSZXsyVbVfTXZI9BPEQqQ9E2eMqLzv+yL26LdacoLieSYOHvRQq8uCfPW6nLSoFnumISctVioMUdfXzfhNEKtKXMAWC08OueAIeRBHuvmhh9nOcRxrHkQgfFjHTXi+ByEAPR4HTWn8NvJReH8VJbsSi/wk6k2uU8QbQZw+6Ui4pBN3tltNM4qCa7WAZktgbk6G7nc6shCf68bdp2Vb2nTo/gZsSyuYgRbbhZa2C0dxFZgIURAzKIdHUeEHU+L+KKTnvgSXleEvU849B4ePAF4kzD3mp0R6tA0B+qyPPjz04cJlHgIECMERIgRnHCE4RK6D3ayJZ5/2VZ06W07MT7cP4YfT9+FIcx/coA/byMHSc7ANG9oatFQgTo20l2McQ1X7uYda7wRmOkdlPn/0yyiQnuzInP68WYqqFqsWRcXIs1GIcxpzZoGKGBFECtNk2LYN2JZq0VqtOqjVeggCGYYYt9drAa2WwNx8MmlpNGX4fhg5INM5h+lc/Y3soSCI5UBjGrTY8D28P5fLodfrxeOgjHbzEXAPTbeG+e5MbPzWwMAhoKkQf5XXb+RRsiso25Mo2RNwzHwS3m/k5RJtMzSTxkKCWCKju9UMR8Kl69vMzwvMzALtqC2t58oxkzGAaVmRb1sbo72eYDra7Ey0tTNxFD+ZEvdHMBGJ+zyfg4EeBLSUuLcRMj4kyr2MKPfhwkOfuejDRZ958OArSY6Q8XhdwsCEgED0OwsNOjRoQoMOHQYM2LCgC7mvKTwEWrjQx1txtpSYb3tN/Or/fS46XnPkflOTlWgtw4GlO7D16NFw5PZI9Ft6ar/hkKBbpyylan8y2ZGiv947gRMDoh+QXhMjKuBnaBYcM4eSNYGKPRmH98fhjJHwd8w85TMSWx7DYJiYACYm0luTSYvrIs45bLWiiUtdYHYu8kz05X7PSzwUmpZ49S0zWSexTxASNQ7qmgHnJDO+wRD/ttdArX8CQehnQvwFAEMzM4tj5FC0yijaFRSsCvJpwW/kYRs5ORbqsr4OiX+CWJiTRcK5royEk958+ThfS1LeOm1g3gWC6L+uxiKBbwOVMocQ60voCyEQoocQfQToocF6OGjYCLEHHFUY/BhscQw6PwQmHkSIJvrow2cCHjPgw0DAZCi8ECL5fREAGGJRrgs9WtdhRqJcbtGi2iXpi1r123BKbCkxrzMdIffH7vcj723Hby3pvAwMpm7H4l4Kf2f082hdbSdDwNqTnewsTvQHoczrb7sN1HrpyQ4DmKzgr8IaDU0+FqwSilYZBauColWORb5j5JGLPBzqOVUwJrYSjDHZw9dJt9gD0jmH3a6crCjvfrsN1OoC8/Ny4uK6crsS+yx6uRL5ZkrwUxg/QQyz2BD/dNta9dj2Gqj3Z2VBPx5AQKQmxgyGbsLQDBiaCZ2ZsA0HBauMgllC0S4jZxTiQrp2JPhtI5lH2boDU7fJKE4QEbbNMDUFTE2ltyYpb0rkq4J8tZrM06/VgVZb7g+C5FWmmaS6qcdTNYxLYd5HiB4C9MY++mjBRzN67IDDA0cAgQAcPnhUJ54BEBoACDBdh44p2GICtnCR4x3kRRsl4cMAwGAgZA64cCDU78UGEeWnypYS8zmzgE+87Gu459BX8f898Xm03Dp0zYAb9uGFfXhBP17nqkzzIhAQ8vVhH/BOfnwaBjYk8OPng49G+rlcp4Ft9UiL/pP9z+GCI+A+gsjLEXAfc91pzLSPJNWLo6Rh6eWQ5zUj4W/pNgpWGSV7AmdUd4F7SHk5chnh7xh58nIQmxpNS9rsZUnlHXalJ6Ldln2AZUV+GcZfrwP9PtDoynZ7KiRRCJlrmBb7qvAQefcJYjTptrWLIR4PI6EfcB8dr4lmfz4aDwMZAcdYNCYKaEyLx0WdmdA1PY4AiHP8rWLs9c/OndLzJBtm9EjjJLFVME2GyUlgcjK9NRH6ml7A4UN+nPbWbAnMqhZ7PTmGeq58lRByfDTtAIbVhW53oVldcNZFgGTx0YKHBjw04KOJEG4kzKUo5whSfm/pLmfQwGBCgwENJhgMmLDjdQ0GGMYMxgzgDOhoQA8BbNGEzZvIiznYoglL1MGEQAgTAbMRYjP2BZRsKTEPADtLZ+Omi1+P2c4x1HonsKN41tAxyurshT0p7gMXbtiLBLsLN+jH4l2uu/FzL3SXdD0CAm4ojQhLNQQAiKq527HVOmsAsAcMBGpQo6iAlUZjWnzPT4Zq2yfFv5zw9PwOWm4dhxuP45H578LzPMS/ggLQNROmZkKPQhxtw4k8HBUUrUoqpzEX5zXGoY5Gnv72xKZC10e12gMGcw87Hem973blY6ctUKsDtZp8rtoHeR4ylnzDkCI/LfhNU3r4CYJYmKWMh4CKguMIRRCJ/yBubdv3u5jrTiPkYWQE4EkYTirPVRoBdOjMgKbJR0MzpLffyMPWnWRcTKVMmroFS3eix6wxQKZiOtA1+o9PbFxMk6Fa1aAxwA9d9IIu+kEHfb+Lnt9FvdNFrdlFrd3FfLuOWqeOWruJZr8NL5Dz1LDrg8MHolobmgZoetRaWjOhMRMazMUL89OEw5C97vVJ1HEudNGHI5qwRQMFPgdTdGCjDSEYQmYjgA3ONo8E3jyfZBlJW50LKJ/8BSmEEClx76ZEvwsv7EljQNiP2q71h45dKio1oLvE1ABFeqBKGwHibdrAc92GqTuwdItC3paJdNu+Uf8jVSEjhapirDwd0svRQqM/j7Ahn8fKPwr5N1LCX05ociiYJRSssgxxNItw9Bwsw4EzFOqYg6075NUgNizp3MNRIYkAEAQylL/dkaK/21VefoF6XXr32+1sv2CeEvy6noh800xE/3rKSSSIjYCMgtOhQwcWaQBQZA0BIbgIEIoQIQ/ghS56fgdczCAUIbgIEfIQQJSXI1IWcwC6ZkBjemIYiB4t3cFEqQoEelIbx8hl6y1FqQG22haNo7pG025i+RFCSF2Rcjq6YVc+BtIx2Q+66PlttNwGQs3DXHMGXuhm5pJxC+goclQzdRiTJs7cbmKPZkKEDnhYQuCZCHwTvsfQ7QDdvhwTgxDwU7XgNE2Ojbouo+B0Q+burzQhc9BhDjrYgXn9AliiA1s0keM15MQ8LNGGJkJw6JHX3k5C8jcg9KuyzDDGIsvv+Crr4xBCwOcevMjz74Zu6j9nSvgHLrzQhR9vk0sogpO/yQDqtZ0lv1JiahYsw4Y5IPpN3YKlpZ8Ph7yZmg1DM0ggLpFMFeNFICNN/NQSoOO14hDHgAeQkxkWzWFEPIFRYY6GZsLUbOQt2b4vbxZRsMpxgcj05EUWiqQCkcTGwjBGVRUGRgn+TgfodKXgV4+NukC9EXn2XaDRky34goGfZdMADCX6jUT8k+gniNMnawg49fNwwSOxr4wBkWGAh2iHDfSbHfT63Th6QL454mJbKoLO0Iw4PU8Z0nPxGFqKawWkx1JVL4CMAFuD9BzNC92oGLOa58vCzF7Yl/ogdOEFffSDHrp+Gz2/hZ7fQT/oJWks0XdSfXcZ5P8LLmQdC0MzUMgVEfochmYiZxZT9SxOfU7u+7J2jesCrge4fYFuT4btex7Qd4GwmxSwBVIiPxL6urYS4yCDx4rwWBEtbRcYQtiiCUc0keezUUh+DRBAwCyEcBBiYw3I9OuwjmCMpULRKkt+vbI8exmRP7yufiS8oA+Pe7GBQGDxdQIUPvfgex6AU4sMUMUDRxsArIzwt9LPdRtWlGJAHuOFkZEmSxP/XIRxaKMaILp+Gy23Hk9euAhTP3Yi7mccGwGiCYzqaxz3MLZK0vs/mNtoZOtEqNQR+tsS64Xxgh9IF+vr96XA7/YgvRY9JfwFGo2kzZDny32BD/gDekDXU8I/egzG128lCGIZ0ZgW5e2PrguQy+XQs3oj9wEqgi5EKPxMqkDLraPWm42EVpQmACRFPCAjAnTNgMGM2CBwMiNAMmaq+kpUW2m5SOZEst6RmhOpCMn0Np978jFMikOq7hA+9+EG3ThV141qdUnvuJxTcRGmokqkEUlAVWaPLEVRpXaNGbKWBFO1JeT3JB+tG1Fkyag51GDE53KgDNNJbZvkfcMwEfleSux3ulLkB4HcFqa8+owl3nzl3de09FlPDQEdfVZFn1VR186JQvIbcEQdBT4LU3RhI4AQGgLmINgAXnsS85sIXZNt2HJmYcmvVXUCfJ4Ifz/l9c8YAQbWA+7BDfqnFBmQKR54ikiDgAVTs+M8NzNjHLAy4j8+ZuC5xigPDhgo9LcEVO6/ymVUE5h+0EPHa2GGHxnwYqRCGkUS0pg2BMgOA7moxZ+sA5AzC0lniKgoZPL3zU5kTM2m/EZiVdG0JKR/mGQaMiT6u9KD0etJ0a96CDdbchLU60nvvb20qGOCINYAGUEns4aXgpqLKSOAGkcHjQBccNktgCGuFRCnAmTSAoy4do5Km5PrThRxZ8LQrWjclemlgxEFOtPjaD1l5JAiUYMeiUUNGli0D2CxAWExxnghBARE1AZYpkm4gQwLl/MKKWxFZCCRgjcRu3xgPTsPCQciLIJ4u8+liFbtGMNU9KIqzBiE8m8hIzU4xMAjFxwc6nmY/F0g56ZioIy6xnR5/zRdNkfT9Ph+Ss+4E9V40OM50WYwxug6RoyLqqaNNGx7A2K/35OefdeTnv0wBHjK56hpKa/+aYTwJyH5Z2BOvxC2aMMRdeT4PHKiDicqpBcwCwEc8HXotScxTwDI1gnIm0MloxdEWfjUj6MKDZIGgcjzH3pRWoAXhRFljQLy0Tul6ABpEJDnwWl4rnRmxMJfFcKRBW/soe2yMq4lowVSRgFTs7ZsOFwm93+JJIaA1IDLUwWPxHQcLZAueCRt1dIYEOc2RsWO4vxGw8l0ApDGgFz8N5tsbYPb9eLohYxRSH0PqD4EscwsVvQLIWSIYl8K+tzCXcMIgtjAxHOxUzACpCPqVFpAwH003B5qvROxAJbCWOUDqAcRnQdRWLYWC3cWCXUp2hlYJNgZY2CpR7kNA+vaWEGvRLyK7JOjuVy3bQt9t58S+nzgUYp+tR6LbIis53bovdV7RbXUo8+lrlN+Xpb6vFrqXujQNBMMWsqokd2v7gexeBgDbEsu2Rq2qluNFPOelwh71xXodaNcfR/wx4TwDy4nF/saXFaGy8poaGdDF27Ka38CluhCQwAuklz79cDWVB3EiqBrOnQtv2Cv9oVQgi4t7v2M8PeS7YPbUjlGst/70glFgDAI0A+6p/R6hcb0lAhMxKEZC//UNm1weyIeZUXQrSEgT8cQAIyKCkjlN7oNNHrzGYt9ukaAZZnwPC/2bKQrIasqyBrTYRk2bD0XFQhMDAOJwScdGTLaKGBoFkUKEEuCMQbblh75ytKzrwiC2AKcakTdKJRhgAsBEXud1fqguI7EePQ6JbLVtuiMmbWsnmLZfyNjQNrrj0hsa7HxQEsZErRkXyzESUxvJnRdGrGzhux0LRsZvZYW/K4r4ki3IJDF+cIw225+MWI/ZDY6bAc62IE5/QLYogVHNJDns3BEA6aowcLSupitBCTmiXVDRtAtMTogjcpbSov95HkUNcCzxoEgfXy0bzA8arFwEcINe3DD089HMjQziggwYYwR/qO2G7qZRAxoJkzd2tRpBKdjDFCRJWoCkw7fU+GMAffhuX00xXy0PQn7i9siAbFZmGVaI2VDFE3dThU6ysdpBKYhUwVkyKMZ90WWf18zCom0om0mjGjb6RSsIQiCIIg0sWFgDa8hl8uhx5Y3p5vYnBiGXAqZDONkTuT7iUc/FvxRcb5+fwliX9PQ1ypwWQUN7WwYog9H1NFyH4PGqqv1cUdCYp7YdCS51qcWIQAknt5Bz3/2uRT+QZiuQJoYA5QRgYulpw4oVIXT5RjSMhEDGUOAEolqn8yhU8JxlOFgM0YNJBOY0/tZHDYKBFGrJGkg8MIWWm59KN8vqYScdBVQPZNV3pwyDMQ5d0yL00NUdIAqLGibSUtBM9WaUNf06O+nZ57rLFmXXQySvEkqMkmsJFxwHG3uQ9Otoeu30fGaceiqCmlNQmDHh+0SBEEQRBpVmA8nEfv+KM++Evt+JPZTal/THOj6TrS5D+TOWq2PMxIS8wQxgrSn91QKCqZJRwoEUUVTPyP+vbj9iDQE+IlBIK6EenrRAsDyRgwAqRoDKdGfeYy8zOmogmS7OfS6zeJhXi6jAJD0TJZLELdLSj963EU/6A5tV3mR0iDAojqDqb5J8fUqYwGLDQWZHMFIQKnWNaZuQY8NBFE7mygKwYhqRugpg0Nptoxet5c5X/Ko1geMFZrcnjFexGkP+vDrUkWaNsN3aCsR8hC/9oUX4PH5Hy7pdYNCf+w606K8V7WuwnS1VM5sen3h8N3hbenc2oHtqdek843T29Sx2oht6Xzk4eepbYPPGQPzZevZoddg8YXJCIIgNjuLEfuxVz9elzn7PRfwAsBaXLOoFYPEPEGsMKcbKZAOA4+jBTIGAJkmkNnOvchwkH7uZ56fam0BRVxjAKdXY0Ah+58mIeVZA4B8HqcPxBV4U6HnQ6HoskLvRp60ZnomL7Eg0mLI5EaKEBypCr1RGoFclwYlrnImU8WG1DqAVE5lMhRalgXP9yGtCSwutsTA4qJH8fUgMjxgoBBRLFbSgmc4h1IaBEwYujQyGCz5XqQXWZMiXfFZhxZXb04VUEzVTEi2ZwssxgaNVPXhjfydW206fhMH6o8s+XXyO8cRnrp9c0uTFCljA4JfiwugJfnHg8cMvDZdBG3wfCO2jS6ehpHvlSmqljknhs8vT5J5DyRnzDyXx2HouKHXDe2TzyzLgu/58XuOOiY5v3zMbI1/I4avI71Vfc7h8yXnTJ89OX7gTPE1jnpd8trMe496BRs8A8YfO/CahWADr/JZH3331LscAVic80Nkjxn9ijHHiNF1AeL3FplnQ2cQqfdP/5t5hcg8Q7ZY4IjXiPTrRx8rhIDVteB67ohzJoUQ08/VZ1X/qvMk75u8h4j3pc+XXY/3ibjs4Yh9w+caek1cwyG53mxhxeFryJxPDJxnzDYIgIOn3k9AaALCkXOoqerlWEtIzBPEBiETLYDTixYApEcs4CpSIGsQiA0B3E8ZBfzoeC8VYeDF5zhd44CAkBEJfHmLicQCLiX607nnjpUDE1pK7KUNCmbKMGDG2zdfFAGwEsYCYGn9bEcVV4rXERVWEgI8HnBlcSYVwRDyEJ5wwf2U0WGEAUK2D0oXY0r9G2c5DEYvpD24emw80OIqyMm2zHcuE51iylaKKoJhwBCga0k7qCTFwcjsK9kTpx0ttJ4o21X8P8/9O3xj/5fw6Ox/o+d3YBtOqv2T/Dur5/JvOtqgJFJ/X5F5XbJOSLKTfYxTMQRBEMRJ+MHMPQi4f8pFnE8XEvMEsUWR3QdysLE8va64CON+rYMGArlNpQykH9NGAT9+HkTPTyetQKHqDixXBIEi4+mNogD0VNpAdn/q+QhPcXrZyp7dxLu3fuoxJC2Q+JDAzPQcjkSlz324gRsJy0RMqvQHKTbD2NsWO8Qiy0La85ANJZepBRdu+wm84tJfXdubssw8bc/z8LQ9z8Mnv/sBzLQP44zinhV7ryGRnzb4xIaBAUPRYBXv+O8oBgwIKSPUmMrf6e9Kcr7Uew++PvYOpY9LHZN6rnp0CwhoGkMYhimDx4A3KmUkG/JYDV43EF8n0s/j1yBzfQRBEBud8VFE6UhBOVe7aPsVaybkARLzBEEsExrTYRvLZxxQaQVBRuz7mZQBtU1FCqT3pw0Iyf7TK0iYRr33ciPTDQZE/oIGACMubqeejztWVdQnFo9KdcAq13ZWwkjVPuCCY6ZzBL2gs6rXsdmQEzB9U3f3AJYWEbPcjApzjcNgM0aE9DZkj0+FuQIAHxV+i8FQWJE6jzQwAFkD2eB7xfsxOjQYQ+8jt5imbGma3Z86W+p5+j2y58HA61SYdLI/+7pR58sen/68Y0Oxs5uy20ceM3yWQYQYv2/o2JMcIyBg6DqCcOnRfoPh+qf2muFzDNvXR6UUjEpzGHH+cakQY1IdRqdQDKZPDB8/lMqRSpEwTQtBEAy8Np2qMvg8mx6SSf1I7U/EbzZtZvC1o/dlU07SaS4Ai1PwBtNs4vNGkXOZawAbuv5x6T+DaT6LZbp9CDuKVABvzegHPTTdWmbb2FyhkXlCo3OJxp6HYez+xZxjodcnLx33enX6renxIzYe6bSC0+lMMAgXYWQMkOJeNzV0eu0ojWDASJCKEvBHbEsMDKefZqAQEFGKg7cs5xtEVbEfJfr1gW3Z5yok3JDGBTZoTDC2fGTBcqImGGnji7EMPaQJYqVJe6xOQVttCNbSWLIVoPu7stD93Vxs2ZlBxdmGpluHH7rD1sbMQ9aCmFg8B48Y+HfI+LlQkYoR5xOjXxmviYHzDZ5DjLr27BoDi16bzR4dxdg9DLA6UYGr6BTqbADABCCYABMMgskLY4wNfcbBaxxlLYutcqoIllofVQwr8/rh5+p88f4RxxKbE43psAwdFhwAclAr6qc/qKl+9Ingl8aCgAcDwt9L7T/ZIl+7XIYCeZ0hvDCEt3ynzMDAMkYAU7ekAYGlIwiMjLEgOd6QBexGbk+1y6MIA4IgCIIgiK0r5l9+yRvhhrJS5mAoVbwOFZaVCnga2D/0+hHnye4fEb6FRHwPhnuNPgcy4WfpcDX12oGArwHjwHBe20BQTebY7DWo8LUkhK5YKqLZbAIQmfy85DHJTUyHuSW5prKoVRgJlpAHslJ6qgd3wFXPbj8qdBUgEEHUwztEED2GPIzfbyiHcTD3cFQ+IzjEkJFBRkXI7UkYlAp7U8aLdGuhdD/kxEiAjCEhbZgYaYhQ64aAG7hD7YWGw5CItURjGizdhqXby37uIUPBkNFAiv5wjDFALeGIbctVm0AhIFYsBSFNOsJA18zIWGAMGQCGjAbMGDAiDBsK4ggEqk5PEARBEMQ6ZsuKeV0zkNeKa30Zm4JqtYpavnbyA1cBJeBDEcYFpziPWm7x4T7cXIih/t3xazlHKILYoBBGz9X5RWRUCCNjQqiElYhCskM/MkooQ0MQnzuMrkUaQER0vqzhQxVC6vIm+m4/NhIJZKs1JykYTBptBoVHylA0XFAraf81bn24h3K6z/JwH2Zi+VlJQwGgOhtEYl8ESdSA8KXhLGUcGDQIhEMGgyBzDlX3YLlZ6QiDNNIIkBL/sVHAHKg8byYGhbRxYcSxg+vq+WbP5SYIgiAIYvnYsmKe2JxoTAOYBn0DfLXTFa6lkUBI4Q8eGQCkgaFULqJWryWGiviYyKAQGSMSYwFPDAjKiBAtHnczxeP80E15dYNYsMXRDdzPtvZSkQzpCs+pFlFAuliLTCdhLOonzpIIknQUQtzyKzYajDAsME0mVmRahCWGhKyRggwKS0V2NtCBKPVgOcnlcuh2u1EETdoAkDIIiGDAWJA6RvgIwgChyL5ORfCsVDpCmpAHCBEAq2A4YGCJUSDV795gBsLo/zZBEARBEARAYp4g1ox0j28T1tjjquUqnLC8ateljAzKOKAMAso4wHmYMSAkkQbhgGFBpkpkIxKSSAZpSEhyyv3QQ8gD+Dz9qNImOPxUWkbcPirzXD7GMJkAwQSLghaSmhRanN6gwenn4Pt+KjVCbtcyhgS1rmf2UQj24oi/65qxbN0ORpHugKAMA2mjgFoPUxEE4aAxSyTGr9i4MLgtithZkc+AhQsgfvPAlxHyMDK+EASx0Um3vxxO/4OMwEtVwR9ddX90FX2oPUNV71Vq4cmOTYzw8RUM1XxKHzNwvoG0xexrho8HpEHT7FjwfQ8QsrZTXN95MRlhDIiKNKVSIZO6UOkaSgBGOhCyTgQ9cRwMRDZq0ZyAohOJtYTEPEEQGdLCa61R4kxFKijvq6qREEQ1FKQYC6Nj/SRsXB0TGxHkPp+78AMPHvdg2Bqa7UaqBZ4Xn1caL/zIWKDSMsLYeKAEnTIQiCjqID2B0WIDgA7GNOiRUSD9qDEdmqZDZ/rA8TQxWArpDggrTdpoNWg4SLYF8fc3GDAgJMdmXxfvS60rIxkAPGnyKSTkCWKVUOJaGqyDeFxw0UW3143T8JSxOxkb1PjAlF1Zjg1xvWGREaaMZVPbsvVxkjZccTuteB1ItyGTW7KiMi0yk4LC2sB7pN8zOkZLav9oTM9Ex6lzyGjIJBUvXRMIyNYSSkfjxdeQirpT16gxDYVCEd1uN7n+zGfKtjpL17VK/81GpSamoyHV3zTgYRwRprrcqAhGOfdIoibT9ZiyaZs8MTqk7vxg6em0ASC7vtA2mhMQC7P2s3WCIIgxrIY4q1arqNWyNR9Ge3jDeFs6JWGoYn0on0vvqg8v6MELPbhBDz734AV9aUwIpWHC595ArYakpoPAcEvLxRoKlIFg9CQhmaQRp4bGNGi6tWBUzXLCBcfR5n6cU927Ku9HEJuBxCAcJsaydPpZqthuKMJIJGdOkIhZJtORdGYAuowwMnUTll6CpTtxXRNLd2DqFmzdyRTk1OLUGT1u46nOp0W/27pmZL3D0OTveLq4buQhVsJepZcl3XoQd/tIihqzjGBf74wal9eCuOBy5BxIf29iJ4KaC0SG2Ww6WJIG5nMfXtiHF/ThhX34oQc3evS5K+sy8QC+8DJGgrShSM4JovpII0IVBucE2uB3Kfr++CwH1/MzhpRMmiNFGmwoSMwTBEEMsBpGBC64FP4iiGsXJDUMpCEg5D780EcoosfUxMDjXmQocOEG/QFDgTQQeKGb8hzxAY8CT0IX1ec+ibFg0CiQrVcwun4B5xZENCEmTh2NaeSRJ7YMgx7xME7nUsI8Se1SYlylWTGm2u4CEIhaWepxHQpDM2DqFkp2BTmjAMcswDHyyJkFWLoNU7ekINdMmLoNU7Ng6mqxYWompradgU6zC0Mz6bdtExMbbfWVNdoKkXSBGVxU2mG6c01cayb0RswJPPhhH17oSqdC6EVzAlUU2kffB/p+P9NVKpO+KMI40hBAyqswHFGSTkvQY8dC2pFgREarxCBGzoTlhcQ8QRDEGqAxDZbhSL+uubydNZShQIUM+gMegiTsW6UjRPvSUQWhNA64alKQnhhwLzYSyHaRo+sXCAgYfQOu208uTg3gUeOFtPEgadWYrU3ABqMKUpOGUeGIBEGsHir0ONspZrh7TBh1iUnvl95wxCHjQoi4MYvGmBQCqTQkVRDS0XNwjDwcIw/byMMxcokY1yxYRuQh1yxYhgNTs2Ebiffc1O3T+q0oWCV4OhWjJJYHxlhsMFoJ1P9RFZ1SqpQwNz+bqmWUjV4ZSvvKRCMkkYl+6GbmCF7oRpEHbvx6T7ipeksqXUXE6SeqxoGASP6Pp4xvKnpFdX1RRgEyBiSQmCcIgthkJIaC5a9OD2RrGSR1CZJiiaqmQch9FEpF1OpzmcnCYD659Dz48WTADz0ZhhhtU2GISR0DLxOCGLegTOUtxt45AQAMAjyOGNDj9IO0EWAwPUGLttHEgdj4ZAX3aKE9mO8t4rapSX0QAFJ4C1VjTAzlAme8ctH/JUuLhLThwNYdWLoD23BgG3lYugVDeb+jR0MzY1FuaGYcum5qFizdXhc1XQhioyBrIenQoQO6jZJdQeDwk7/wFFFzBGX8D0KZYhBwXwr+eJx34XM3jjDs+x30gg56fgf9oAs36CEUoTQOpOrRxMWOU5kGKvom2/7VzLSH3awdj+jXkCAIglgSS0lDqFarqBmnn/s4qo5BJhUhLl40sKSiDbywDzfowQ3dpJZB2IMfynxFn/vgoj+yfkH0yZEKKYCAGDAGJGGEmW0UYkicArHgzoSVDzxP5XsroQ4w2B0Lnpd0RFCCeygMVkuJ8FQ4uaXZ0Xoiwq2U0DY0KwpXt2FoRiTGzWifGYtxI9qmM4O+8wSxRUjPEXIonPJ5VMHitMffDXtwo7oDygjgBj10/Ra6fhsdv4We14mPDfwgjkzkgifBgUL+Jhqx6E//fhkb6neLxDxBEASx7lnJOgZCiExLRNXVwA+jNIV0ykLow+duXO3YDXqxB8EN+vFEQxkePGUcGBViCIzIP0zCiZN1HRoz4Iej29UR64e4tWfKIDQoxNW6EuKj2hyq6NP09yDd9cLQTNhGCbYhw81t3YFjyrBzQzMxUa7C7XlJvrdmQddMWLoFXTOk0NZMGLoFM5rAUgQKQRDrCV3ToWvydw324l+nahBI430/Gqd70fNuvN7xWmh7DXS8Frp+C17oouv3Mx1ooIpiCgEt+u2NF92Etw7GZRLzBEEQxJaGMQZLtwHdPi0vgiJdzEgVIQqicMM4tDB+nqzL0MIe+kFHhhwGXRk1IEJ4oQfbcJAzTv/6iCyL8YAPbovDPIE4UgOQIlyPPd1Gpgq6xjTYpgwxV8LbMXLIGQWYhh15viOPeOwZtzKC3NCtOC98IeG9XqqBEwRBrDbpGgRFVBb1GiFEZIyXBvq+30U/7MUh/32/i7bXQMuto+010PM78MI+TM2UxoY1hMQ8QRAEQSwj6YlEzjw98a3CDJUR4HTPtxmQlc45Qs7jSueybkKyHoogLrYWRv3BMwJcnQuyi4NKjRjlAbeMImw9B9twooJrOTh6LhbgxoDgNkfkgCfecZp2EQRBrDcYY3FRzQq2nfT4kAfoBV30/Q4sY2XqEy0WGlUIgiAIYp2SCTPcArTcRqqAYog4D0F5vwcqnauChnq0rjEjqlhehm3kojD0XByOnhbblj5GeCsPePRIHRIIgiCINLpmoGiVUbTKa30pJOYJgiAIglh7zijugRACBasES3eQM/Ow9VxKaNtxATZLl1XO072/TbXtJCHoBEEQBLFZIDFPEARBEMSa8zN7f36tL4EgCIIgNhQUO0YQBEEQBEEQBEEQGwwS8wRBEARBEARBEASxwSAxTxAEQRAEQRAEQRAbDBLzBEEQBEEQBEEQBLHBIDFPEARBEARBEARBEBsMEvMEQRAEQRAEQRAEscEgMU8QBEEQBEEQBEEQGwwS8wRBEARBEARBEASxwSAxTxAEQRAEQRAEQRAbjFUT89///vfxxje+EVdffTUuv/xyvPKVr8Sdd965Wm9PEARBEARBEARBEJsGYzXe5Nvf/jZe//rXwzRNvPjFL0apVMJdd92F3/qt38KRI0fw5je/eTUugyAIgiAIgiAIgiA2BSsu5oMgwO/93u+BMYZ//Md/xMUXXwwAeOtb34qf+7mfw80334wXvvCFOPfcc1f6UgiCIAiCIAiCIAhiU7DiYfb33HMPDh48iBtuuCEW8gBQLBbxa7/2awiCALfffvtKXwZBEARBEARBEARBbBpWXMzfe++9AIBnPvOZQ/ue8YxnZI4hCIIgCIIgCIIgCOLkrLiY379/PwDgnHPOGdpXqVRQrVZx4MCBlb4MgiAIgiAIgiAIgtg0rHjOfLvdBgCUSqWR+4vFIo4fPz729dVqdVmuY7nOQ4yG7u/KQvd3ZaH7u7LQ/V1ZVvv+0ri8MaD7u7LQ/V1Z6P6uLHR/V5bVvL/UZ54gCIIgCIIgCIIgNhgrLuaLxSIAoNVqjdzfbrfHeu0JgiAIgiAIgiAIghhmxcW8ajk3Ki++0WigVquNzKcnCIIgCIIgCIIgCGI0Ky7mr776agDAN7/5zaF9d999NwDgmmuuWenLIAiCIAiCIAiCIIhNw4qL+ac//enYs2cPvvjFL+Khhx6Kt7fbbXz0ox+FYRh42ctettKXQRAEQRAEQRAEQRCbBiaEECv9Jvfccw/e8IY3wDRN3HDDDSgWi7jrrrtw+PBh/Pqv/zre8pa3LPt7fv/738fNN9+M733ve/B9HxdccAFe+9rX4iUvecmyv9dmZHp6Gl/5ylfw9a9/HU888QRmZ2dRqVRw5ZVX4g1veAOe+tSnDr2m3W7j5ptvxl133YUTJ05gamoKz3/+8/H2t789rp1AjOfjH/84/uzP/gwAcNttt+Hyyy8fOobu8dL56le/ik9/+tN48MEH0ev1sH37dlx++eX47d/+bZx55pnxcXRvl4YQAl/96lfxD//wD9i3bx9arRZ27tyJa6+9Fm984xuxZ8+ezPF0f0fz+c9/Ht/5znfwwx/+EI8++ih838f73vc+vPzlLx95/KncxzvvvBOf+tSn8Nhjj8E0TVx++eV4xzvegZ/4iZ9YyY82BI3LpweNy6sPjcsrA43LKwONy8vDRhuXV0XMA3IQ/9CHPjQ0iN94443L/l7f/va38frXvx6maeLFL34xSqVSbDz4jd/4Dbz5zW9e9vfcbPzZn/0ZPv7xj+Pss8/G1VdfjW3btuHAgQP4t3/7Nwgh8MEPfhAvetGL4uO73S5e85rX4KGHHsIznvEMXHzxxXj44YfxjW98A095ylPw6U9/Gvl8fg0/0frm8ccfx0033QTDMNDtdkdOGugeLw0hBP7gD/4At912G84++2w885nPRKFQwMzMDO677z786Z/+Ka666ioAdG9Phfe///245ZZbMDU1hec+97koFot4+OGHcffddyOfz+Of/umfsHfvXgB0fxfiuuuuw5EjR1CtVpHP53HkyJGxk4ZTuY9//dd/jT//8z/Hrl278IIXvADdbhdf+tKX4Lou/vZv/xbXXnvtqnxOGpdPHxqXVxcal5cfGpdXFhqXl4cNNy6LTYbv++L6668Xl156qfjRj34Ub2+1WuLFL36xuPjii8W+ffvW7gI3CP/6r/8q7rvvvqHt9913n7jkkkvENddcI1zXjbf/5V/+pdi7d6/4wAc+kDlebf/Lv/zLFb/mjUoQBOIVr3iFeOUrXyl+67d+S+zdu1c88MADQ8fRPV4an/rUp8TevXvFH/7hH4ogCIb2+74fr9O9XRozMzPiyU9+snjOc54jWq1WZt8tt9wi9u7dK971rnfF2+j+jufuu+8Whw8fFkII8bGPfUzs3btXfO5znxt57FLv4759+8TFF18snv/854tmsxlvf/TRR8VTn/pUcf3112f+H6wUNC4vDzQurx40Lq8MNC6vHDQuLx8bbVzedH3m77nnHhw8eBA33HADLr744nh7sVjEr/3aryEIAtx+++1reIUbg+c///mxdTTNVVddhWuvvRb1eh2PPPIIAGlp/cxnPoN8Po+3vvWtmePf9KY3oVKp4LOf/SzE6gSBbDg+/vGP4+GHH8b//J//E7qujzyG7vHS6Pf7+MhHPoI9e/bgd3/3d0feV8MwANC9PRWOHDkCzjmuvPLKoRCyZz/72QCA+fl5AHR/T8ZP/dRPYffu3Sc97lTu4+23344gCPCWt7wl0wL2wgsvxEtf+lIcPHgQ99xzz/J9mDHQuLw80Li8etC4vPzQuLyy0Li8fGy0cXnTifl7770XAPDMZz5zaN8znvGMzDHEqaF+bNXj/v37MTMzgyuvvHIolMS2bVx11VWYnp4e2Z5wq/Poo4/iwx/+MN7ylrfgwgsvHHsc3eOlcffdd6Ner+P6668H5xx33XUX/uZv/ga33nrr0D2ie7t0zjnnHJimie9+97tot9uZfV/72tcAAE972tMA0P1dLk7lPqqxTo19aZ71rGcBAO67774VvOrsddC4vHLQuLx80Li8MtC4vLLQuLz6rJdx2Vjqha939u/fDwAje9dXKhVUq1X6cp4GR48exbe+9S1MTU3FeTfqfp577rkjX6P+FgcOHBh7zFYkCAK8613vwvnnn49f/dVfXfBYusdL44c//CEAQNd13Hjjjdi3b1+8T9M0vO51r8M73/lOAHRvT4VqtYrf+I3fwAc+8AG86EUvwnXXXYdCoYBHH30U//Vf/4VXv/rV+MVf/EUAdH+Xi1O5j/v370c+n8fU1NTY49WYuZLQuLyy0Li8fNC4vHLQuLyy0Li8+qyXcXnTiXlljUqHLqQpFos4fvz4al7SpsH3ffzO7/wOPM/Db/3Wb8UhUq1WCwDGVmxU29VxhOSv//qv8cgjj+Cf//mfYZrmgsfSPV4ac3NzAIBbbrkFF198MT7zmc/g/PPPx0MPPYT3vve9+Lu/+zvs2bMHr3nNa+jeniKvf/3rsWPHDvz+7/8+br311nj7FVdcgRtvvDH+TtP9XR5O5T62221MTk4uePygB2cloHF55aBxeXmhcXnloHF55aFxeXVZL+PypguzJ1YGzjl+93d/F/fddx9+9md/FjfddNNaX9KG5uGHH8Zf//Vf41d+5VdwySWXrPXlbDpUfpJpmvjIRz6Cyy67DIVCAVdddRU+9KEPQdM03HLLLWt8lRubj370o3j3u9+NN73pTfja176GBx54AJ/+9KcRhiF++Zd/GXfddddaXyJBbGpoXF5eaFxeWWhcXnloXN6abDoxfzJrUrvdHusdIEYjhMDv/d7v4Qtf+AJuvPFG/OEf/mFmv7qf4yxJJ/PKbEXe+c53Ys+ePXj729++qOPpHi8N9Ttw6aWX4owzzsjsu/DCC7Fnzx4cPHgQzWaT7u0p8F//9V/4y7/8S/zCL/wC3vzmN2Pnzp3I5/P4yZ/8SXzsYx+Dbdt43/veB4C+u8vFqdzHYrG44FiojllpaFxefmhcXn5oXF5ZaFxeWWhcXn3Wy7i86cLsVU7CgQMHcOmll2b2NRoN1Go1XHHFFWtwZRsTzjne85734Pbbb8cNN9yA97///dC0rA3oZDkeKqdkVL7kVuXhhx8GAPzET/zEyP2vfvWrAQAf+chHcP3119M9XiLnnXcegPEDkdre7/fp3p4CqpjOqF6ok5OTuOiii/DAAw9gfn6e7u8ycSr38dxzz8UDDzyAEydODOXnnSzXbzmhcXl5oXF5ZaBxeWWhcXlloXF59Vkv4/KmE/NXX301Pvaxj+Gb3/wmXvziF2f23X333QCAa665Zi0ubcORnjC86EUvwgc+8IGRrUTOPfdc7NixA9/97nfR7XYzFR1d18X999+PHTt20I9Cile+8pUjt99///3Yv38/rrvuOkxOTsatMegeLw01mD3xxBND+3zfx8GDB5HP5zE5OYmpqSm6t0vE930ASZubQdR2y7Lou7tMnMp9vPrqq/HAAw/g7rvvHgrB/sY3vhEfs9LQuLx80Li8ctC4vLLQuLyy0Li8+qyXcXnThdk//elPx549e/DFL34RDz30ULy93W7jox/9KAzDwMte9rI1vMKNQXrC8MIXvhB/+qd/OrbXKmMMfhbBgAAAD4FJREFUr3rVq9DtdvGRj3wks+9jH/sYGo0GXvWqV4ExthqXviH4kz/5k5GL8k696U1vwp/8yZ/gKU95CgC6x0vl7LPPxjOf+UwcOHAAn/nMZzL7/uZv/gbNZhPXX389DMOge3sKXHnllQCAT37yk0PhYnfccQcOHDiASy65BMVike7vMnEq9/HlL385DMPAX/3VX2X+Tj/+8Y/x+c9/HmeffXbcqmgloXF5eaBxeWWhcXlloXF5ZaFxefVZL+MyE+lO9puEe+65B294wxtgmiZuuOEGFItF3HXXXTh8+DB+/dd/HW95y1vW+hLXPTfffDM+/OEPI5/P45d/+Zfj3rVprr/++nhQ63a7eM1rXoOHHnoIz3jGM3DJJZfg4Ycfxte//nU85SlPwac//emhHozEMO9617twxx134LbbbsPll1+e2Uf3eGkcPHgQP/dzP4e5uTk8+9nPxnnnnYcHH3wQ99xzD3bv3o3bbrstDnGie7s0wjDE6173Otx7772YnJzEddddh3K5jEceeQR33303LMvCLbfcgquuugoA3d+F+MxnPoPvfOc7AGR/6x/96Ee48sorY0v+9ddfj+uvvx7Aqd3Hv/qrv8Jf/MVfYNeuXXjBC16AbreLL33pS3BdF5/4xCdWRcwDNC4vBzQurw00Li8fNC6vHDQuLx8bbVzelGIeAL7//e/jQx/6EL73ve/B931ccMEFeO1rX4sbb7xxrS9tQ6AGr4V43/veh5e//OXx81arhQ9/+MP413/9V8zOzmL79u14wQtegLe97W1URGORLDRpAOgeL5Vjx47hQx/6EL7xjW+gXq9j+/btuO666/DWt74V27ZtyxxL93ZpeJ6HT33qU/jKV76CJ554Ar7vY9u2bbj66qvxpje9Ke53raD7O5qT/da+7W1vyxTkOpX7+IUvfAGf+tSn8Nhjj8E0TVx++eV4xzvegcsuu2zZP89C0Lh8etC4vDbQuLy80Li8ctC4vDxstHF504p5giAIgiAIgiAIgtisbLqceYIgCIIgCIIgCILY7JCYJwiCIAiCIAiCIIgNBol5giAIgiAIgiAIgthgkJgnCIIgCIIgCIIgiA0GiXmCIAiCIAiCIAiC2GCQmCcIgiAIgiAIgiCIDQaJeYIgCIIgCIIgCILYYJCYJwiCIAiCIAiCIIgNBol5giAIgiAIgiAIgthgkJgniDXgoosuipcHHnhg7HFf/vKX4+Ouu+66Fb+u22+/HRdddBFuvvnmFX8vgiAIglgv0LhMEMRGhMQ8Qawxd95559h9X/jCF5b1vW6++WZcdNFFuP3225f1vARBEASxWaBxmSCIjQKJeYJYIyzLwgUXXIAvf/nLCIJgaH+tVsM3v/lNXHLJJWtwdQRBEASxtaBxmSCIjQaJeYJYQ17ykpfEk4NBvvzlL8P3fdx4441rcGUEQRAEsfWgcZkgiI2EsdYXQBBbmZe85CX4i7/4C3zhC1/As5/97My+O++8E/l8Hs997nPxvve9b+i1Qgh86Utfwr//+7/jwQcfxPT0NBhjOP/88/Gyl70MP//zPw9NS+x11113HY4cOQIAePe73413v/vd8b6///u/x7XXXps5/9GjR/HBD34Qd999N7rdLi644AK87W1vW1KOoO/7+NznPofPfvazOHToEPr9PrZt24YLL7wQN954I1784hcPHf/P//zPuPPOO/HYY4/B933s3LkTV199NX75l38Ze/fuzRz/f//v/8Vtt92GRx55BGEY4uyzz8YNN9yA173udbBtO3Psu971Ltxxxx34+7//e3ieh7/5m7/BQw89hFarhfvuuw/lchkA8B//8R/4x3/8R/zwhz9Et9vFrl278DM/8zN44xvfiEKhsOjPThAEQWw8aFymcZkgNhIk5gliDdm9ezeuvPJK/Md//Ac6nU48KB06dAgPPPAAbrrpJjiOM/K1nufhN3/zN1GpVHD++efj4osvRq1Ww/e+9z380R/9EX7wgx/g/e9/f3z8C17wAnzrW9/Cww8/jCuvvBLnnHNOvG/79u2Zcx85cgSvfOUrYds2fvInfxJzc3N44IEH8Na3vhUf//jH8cxnPnNRn+93fud38OUvfxnVahVXXHEFcrkcpqencf/996Pb7WYmDd1uF2984xtx//33I5/P46qrrkKhUMDhw4dxxx134IwzzshMGn7/938ft912G2zbxtOe9jQ4joN7770X//t//2/853/+Jz75yU+OvHdf/OIX8ZnPfAaXXnopfvqnfxoHDx4EYwwA8P73vx+33HILbNvGZZddhmq1ih/96Ef4q7/6K3z961/H//k//wf5fH5Rn50gCILYeNC4TOMyQWwoBEEQq87evXvFpZdeKoQQ4tZbbxV79+4Vd9xxR7z/wx/+sNi7d6/4xje+IWZmZsTevXvFc57znMw5fN8X//qv/ypc181sn5ubEy9/+cvF3r17xb333pvZ96EPfUjs3btXfO5znxt5XZ/73OfE3r17xd69e8Uf//EfC9/3432f/OQnxd69e8VrXvOaRX3GQ4cOib1794pXvOIVot/vZ/b1ej3x3e9+N7Ptd3/3d8XevXvFL/3SL4n5+fnMvuPHj4sf/OAH8fN/+Zd/EXv37hXPetazxP79++PtrVZL/PzP/7zYu3ev+F//639lzvHOd74z/mxf+tKXhq73S1/6kti7d6+46aabxKFDh+LtnueJ9773vWLv3r3i/e9//6I+O0EQBLGxoHGZxmWC2IhQzjxBrDE/8zM/A9M0M9Vz77zzTkxNTeHpT3/62NcZhoHnP//5sCwrs31ychK/+Zu/CQD493//91O6pj179uCd73wnDCMJ3vmFX/gFVCoV/Pd//zc8zzvpOebn5wEAV1xxxVBoneM4uOKKK+LnMzMzuOOOO+A4Dj7wgQ+gWq1mjj/jjDNw6aWXxs//4R/+AQDwjne8I+PJKBaL+IM/+AMwxvBP//RPI6/z2c9+Nl70ohcNbf/Yxz4GAPjgBz+Is846K95umibe8573YGpqCp/97GfBOT/pZycIgiA2LjQu07hMEBsFCrMniDWmUqngf/yP/4H//M//xIkTJ3Ds2DHs27cPr3vd66Dr+klf/9BDD+Gb3/wmjh49in6/DyEEOp0OAGD//v2ndE3XXHMNTNPMbDMMA2eddRZ+9KMfoV6vY8eOHQue47zzzkM+n8ftt9+OCy+8EM973vOGJgOKb3/72wjDENdffz127ty54Hl938f3vvc9MMbwkpe8ZGi/6v/78MMP4+GHH8Zll12W2T8qt3Bubg4PP/wwzj//fJx33nlD+23bxqWXXor//M//xP79+0ceQxAEQWwOaFymcZkgNgok5gliHXDjjTfi3/7t3/ClL30Jhw8fjrcthOd5ePe7340vfvGLY49Rk4elMm7gVrmDi/EAFItF/PEf/zHe+9734r3vfS9+//d/H0960pNw7bXX4qabbsLll18eH3vs2DEA0vNwMur1Onzfx9TU1JBnQbF79248/PDDmJmZGdp35plnDm1TBYgef/xxXHTRRQu+f61WO+k1EgRBEBsbGpdpXCaIjQCJeYJYBzznOc9BuVzG5z//eczMzOD8888/aR/bT37yk/jiF7+IvXv34rd/+7dxySWXoFwuwzRN7Nu3Dy984QtP+XpU4ZnT5YYbbsBP/dRP4d///d/xzW9+E/fddx9uvfVW3HrrrXj961+P3/md31mR913ofKMmGipEb2pq6qRFhCYmJpbl2giCIIj1C43Ly/u+C52PxmWCOHVIzBPEOsCyLLzgBS/AZz7zGQDAL/3SL530NV/96lcByFyywdYwhw4dWv6LPEUmJyfxqle9Cq961asghMA3vvEN/MZv/Ab+9m//Fi9/+ctxwQUXxFb5gwcPnvR8ExMTME0Ts7Oz6Pf7IyvjHj16FICcBCwG5fGYmprKVBomCIIgtiY0LtO4TBAbASqARxDrhJtuugkTExOoVqsjc84GaTabAEaHp33lK18Z+RqVbxeG4Wlc6anDGMNP//RPx717H330UQAyF1DXdXzta1/D9PT0gucwTROXX345hBAjQxkfffRRPPzwwygUCnjyk5+8qOvauXMnnvSkJ+GRRx5ZVxMugiAIYu2gcZnGZYJY75CYJ4h1wlVXXYVvf/vbuOeee7B79+6THn/uuecCAG699dbM9n/5l3/B5z//+ZGvUcVxnnjiidO72EXw4IMP4q677oLv+5ntjUYD//3f/w0A2LVrFwBZFfelL30p+v0+3vWud6Fer2deMz09jR/96Efx81/8xV8EANx8882ZQb7dbuOP//iPIYTAq1/96qGKwgvxlre8BWEY4h3veEc8mUlz8OBBfPazn130+QiCIIiNDY3LNC4TxHqHwuwJYoPyhje8Ad/4xjfwwQ9+EP/yL/+CJz3pSdi/fz9++MMf4ld+5Vfwd3/3d0OvecYzngHbtvGpT30KP/7xj7Fjxw4wxvD6179+2SvBHj16FG9/+9tRKpVw6aWXYvv27Wi1Wrj//vvRbrfxvOc9L1Ns5z3veQ/27duHb33rW7juuutw1VVXIZ/P48iRI3jwwQfx5je/Oc5XfOELX4hXv/rVuO2223DDDTfgaU97GhzHwb333ov5+XlcfvnleMc73rGk633pS1+KRx99FJ/4xCdw00034SlPeQrOOusstNttHD16FE888QSe/OQn45WvfOVy3iaCIAhik0DjMo3LBLHakJgniA3K1VdfjU9/+tP48z//czz00EPYv38/9u7di5tvvhkXX3zxyEnDGWecgY9+9KP4yEc+gu985zvodrsAZIXe5Z40PPWpT8Wv//qv45577sG+fftw//33o1Kp4KKLLsLP/uzP4oYbbsgcXywW8fd///f49Kc/jTvvvBP33XcfhBA444wz8IpXvGKocNAf/dEf4corr8Q//dM/4d5770UYhjj77LPx2te+Fq973etG5uydjN/+7d/GM5/5TPzjP/4jvve97+GRRx5BuVzGzp078frXvx4vfvGLT+ueEARBEJsXGpdpXCaI1YYJIcRaXwRBEARBEARBEARBEIuHcuYJgiAIgiAIgiAIYoNBYp4gCIIgCIIgCIIgNhgk5gmCIAiCIAiCIAhig0FiniAIgiAIgiAIgiA2GCTmCYIgCIIgCIIgCGKDQWKeIAiCIAiCIAiCIDYYJOYJgiAIgiAIgiAIYoNBYp4gCIIgCIIgCIIgNhgk5gmCIAiCIAiCIAhig0FiniAIgiAIgiAIgiA2GCTmCYIgCIIgCIIgCGKDQWKeIAiCIAiCIAiCIDYY/z+vdlqUBRH04gAAAABJRU5ErkJggg==",
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",
       "text/plain": [
        "<Figure size 1000x400 with 2 Axes>"
       ]
@@ -1237,19 +1207,19 @@
      "name": "stdout",
      "output_type": "stream",
      "text": [
-      "Last updated: Sat May 25 2024\n",
+      "Last updated: Tue Feb 25 2025\n",
       "\n",
       "Python implementation: CPython\n",
       "Python version       : 3.11.9\n",
-      "IPython version      : 8.24.0\n",
+      "IPython version      : 8.27.0\n",
       "\n",
-      "pandas    : 2.2.2\n",
+      "matplotlib: 3.9.2\n",
+      "pandas    : 2.2.3\n",
+      "bambi     : 0.15.0\n",
       "numpy     : 1.26.4\n",
-      "arviz     : 0.18.0\n",
-      "matplotlib: 3.8.4\n",
-      "bambi     : 0.13.1.dev37+g2a54df76.d20240525\n",
+      "arviz     : 0.19.0\n",
       "\n",
-      "Watermark: 2.4.3\n",
+      "Watermark: 2.5.0\n",
       "\n"
      ]
     }