diff --git a/dask_2.ipynb b/dask_2.ipynb index a771d71..9e2ae8e 100644 --- a/dask_2.ipynb +++ b/dask_2.ipynb @@ -7,24 +7,28 @@ "# Dask\n", "\n", "Dask does two things that NumPy and Pandas don't:\n", - "- it allows you to build *task graphs* that set out a plan for executing an operation\n", - "- it manages the parallelization of these operations\n", + "1. Dask allows you to build *task graphs* that set out a plan for executing an operation\n", + "2. Dask manages the parallelization of these operations\n", "\n", "In practice, this means that you can:\n", "- work with datasets that are larger than memory without needing to micro-manage the file input-output\n", - "- operate in parallel\n", + "- operate in parallel...\n", "- but still write code that is recognisible from pandas and numpy\n", "\n", - "Dask is also built into xarray as an optional dependancy.\n", + "Dask is also built into xarray as an optional dependency.\n", "\n", "For reference, the calculations below are carried out on a workstation with 8 CPU cores and 23 GB of memory.\n", "\n", - "We work mainly with dask.array. This is the part of dask that can handle multidimensional arrays such as those found in climate science." + "We work mainly with ```dask.array```. This is the part of dask that can handle multidimensional arrays such as those found in climate science." ] }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 1, +======= "execution_count": 2, +>>>>>>> upstream/master "metadata": {}, "outputs": [], "source": [ @@ -44,21 +48,32 @@ "metadata": {}, "source": [ "## Task graphs and lazy evaluation\n", - "When you call a function on a numpy array, the function is evaluated immediately. For example:" + "When you call a function on a *numpy* array, the function is evaluated immediately. For example:" ] }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 2, +======= "execution_count": 3, +>>>>>>> upstream/master "metadata": {}, "outputs": [ { "data": { "text/plain": [ +<<<<<<< HEAD + "3.8166107526614588" + ] + }, + "execution_count": 2, +======= "4.8614410747326575" ] }, "execution_count": 3, +>>>>>>> upstream/master "metadata": {}, "output_type": "execute_result" } @@ -73,26 +88,34 @@ "source": [ "This approach of evaluating immediately is known as **eager evaluation**.\n", "\n", - "When you call a function on a dask array, the function is *not* evaulated immediately. Instead, calling the function means that dask creates a plan for how it would carry out this operation. This plan is known as a **task graph**. This approach of deferring evaluating is known as **lazy evaluation**. \n", + "In contrast, when you call a function on a *dask* array, the function is *not* evaulated immediately. Instead, calling the function means that dask creates a plan for how it would carry out this operation. This plan is known as a **task graph**. This approach of deferring evaluating is known as **lazy evaluation**. \n", "\n", - "The following example shows a simple example where the ultimate computation is to 1) create a random matrix 2) increase all the elements by 1 and 3) add all the elements together.\n", + "The following code shows a simple example where the ultimate computation is to 1) create a random matrix, 2) increase all the elements by 1, and 3) add all the elements together.\n", "\n", "The task graph image will **not** work on your machine unless [you install special packages to do so.](https://stackoverflow.com/a/43744112/5387991)" ] }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 12, +======= "execution_count": 4, +>>>>>>> upstream/master "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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H+q8FAOjTp4/0LCsrq6amJskUj3f5+vp6eHhER0fv3LnTw8NjypQpDQ0NHh4e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"text/plain": [ "" ] }, +<<<<<<< HEAD + "execution_count": 12, +======= "execution_count": 4, +>>>>>>> upstream/master "metadata": {}, "output_type": "execute_result" } @@ -102,8 +125,13 @@ "def inc(x):\n", " return x + 1\n", "# Create a dask array with 9 random elements divided into a single chunk of 9 elements\n", +<<<<<<< HEAD + "arr = da.from_array(np.random.rand(9),chunks=(9))\n", + "# Use your function to increase all the elements by 1\n", +======= "arr = da.from_array(np.random.rand(9),chunks=(9,))\n", "# Increase all the elements by 1\n", +>>>>>>> upstream/master "arr = inc(arr)\n", "# Add all the elements together\n", "arr = da.sum(arr)\n", @@ -124,16 +152,27 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 8, +======= "execution_count": 5, +>>>>>>> upstream/master "metadata": {}, "outputs": [ { "data": { "text/plain": [ +<<<<<<< HEAD + "15.001097524733078" + ] + }, + "execution_count": 8, +======= "13.132374146178886" ] }, "execution_count": 5, +>>>>>>> upstream/master "metadata": {}, "output_type": "execute_result" } @@ -146,7 +185,13 @@ "cell_type": "markdown", "metadata": {}, "source": [ +<<<<<<< HEAD + "Note that the syntax is different when we use dask in xarray. In xarray you use the ```.load()``` method to trigger the evaluation, but when using dask alone you use ```.compute()``` to trigger the evaluation.\n", + "\n", + "The task graph visualised above [is a python dictionary](http://dask.pydata.org/en/latest/graphs.html) setting out the chain of calculations. " +======= "Note that the syntax is different when we use dask in xarray. In xarray case the ```.load()``` method triggers the evaluation, but when using dask alone ```.compute()``` triggers execution." +>>>>>>> upstream/master ] }, { @@ -161,17 +206,28 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 14, + "metadata": { + "scrolled": true + }, +======= "execution_count": 7, "metadata": {}, +>>>>>>> upstream/master "outputs": [ { "data": { - "image/png": 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WVuo4REQVwWvOiIiIiOSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGSE5YyIiIhIRljOiIiIiGTETOoARETlcffuXfz111/IyclBXFwcACAiIgIODg6wsrJCgwYNULt2bYlTEhGVnUIIIaQOQUT0KvHx8YiIiMDJkyeRmJiIxMREZGdnl/g8e3t7uLi4wM3NDd7e3vDx8YGjo6MBEhMRlVssyxkRyY4QAlFRUdi6dStCQkKQmpoKGxsbeHl5wc3NDS1atECLFi3g6OgIKysrWFtbo0aNGsjIyEBOTg6ys7Nx8+ZNJCUlISEhARcuXEBsbCwKCgrg6uqKIUOGwNfXF66urlIfKhHRs1jOiEg+MjIy8MMPP8Df3x83btyAu7s7RowYAR8fH7Rv3x6mpqbl3nZubi5OnjyJI0eOYOfOnbh16xY6dOiADz74AGPGjEG1atV0eCREROXGckZE0ktLS8N3332HH3/8EUqlEuPHj4evry9at26tl/1pNBpERkYiICAAO3fuRL169TBz5kxMmDABFhYWetknEVEpsZwRkXRUKhV++OEHzJ8/H9WrV8eHH36IGTNmoGbNmgbLUFQMV69ejVq1auG7777D0KFDDbZ/IqJnsJwRkTROnTqFSZMmISEhAZ9++inmzJkj6Vmr1NRU/Oc//0FQUBDefvtt/PDDD2jYsKFkeYioyorlfc6IyKCEEFi+fDm8vLxQp04dXLx4EV9++aXk04n169fHjh07cOzYMSQkJMDDwwMHDx6UNBMRVU0sZ0RkMBkZGRg4cCA+++wzLF68GGFhYWjevLnUsYrx8fHB2bNn8dZbb2HgwIH49NNPoVarpY5FRFUIb0JLRAZx584d9O3bFw8fPsTx48fRuXNnqSO9lJWVFQICAtC9e3d8+OGHuH79OrZv3w5zc3OpoxFRFcBrzohI75KTk9G7d29Uq1YNoaGhaNSokdSRSi0mJgYDBgxAq1at8Ouvv8LW1lbqSERUufGaMyLSr+TkZHh5eaFu3bqIiooyqmIGAJ06dUJERASuXr2Kt956C7m5uVJHIqJKjmfOiEhv7t+/D29vb1SvXh3Hjx836C0ydO3atWvo2rUrOnTogP3798PMjFeFEJFe8MwZEelHbm4u+vTpA41GgyNHjhh1MQOAZs2a4cCBA4iMjMTkyZOljkNElRjLGRHpxbRp0/Dnn3/i8OHDqFu3rtRxdKJjx44ICgrCpk2bsGXLFqnjEFElxXJGRDr3888/w9/fH5s2bYKTk5PUcXRq4MCBmDlzJiZPnowLFy5IHYeIKiFec0ZEOnXr1i24ublh/Pjx+O6776SOoxeFhYV48803kZOTg7i4OF5/RkS6xGvOiEi3ZsyYAQcHB3z99ddSR9EbpVKJgIAAJCYmYvXq1VLHIaJKhuWMiHQmNDQUv/zyC1atWlXpb9jarFkzzJo1CwsWLMCdO3ekjkNElQinNYlIJzQaDdzc3NC6dWvs2rVL6jgGkZeXBzc3N/j4+GDjxo1SxyGiyoHTmkSkG3v37kVSUhIWLFggdRSDsbCwwNy5cxEYGIiUlBSp4xBRJcEzZ0SkE6+//jqcnJyqzFmzIoWFhWjRogUGDBjA68+ISBd45oyIKi4iIgJnzpzBnDlzpI5icEqlErNmzcKmTZuQmZkpdRwiqgRYzoiowgIDA+Hp6QkPDw+po0hizJgxUCgU2L17t9RRiKgSYDkjogrJzc3F3r174evrK3UUydjY2GDgwIHYunWr1FGIqBJgOSOiCgkODkZ+fj5GjBghdRRJ+fr6IioqCjdv3pQ6ChEZOZYzIqqQI0eOoFOnTqhTp47UUSTVs2dPmJub49ixY1JHISIjx3JGRBUSHh4OHx8fqWNIrnr16ujSpQsiIiKkjkJERo7ljIjKLSUlBTdu3MCbb74pdRRZ8PHxQXh4uNQxiMjIsZwRUbmdO3cOJiYm8PT0lDqKLHTq1Al37tzBvXv3pI5CREaM5YyIyi0hIQGNGjWCpaWl1FFkwcXFBQCQmJgocRIiMmYsZ0RUbomJidpCQoCjoyNq1KiBhIQEqaMQkRFjOSOicktOTkazZs2kjiEbCoUCzs7OSE5OljoKERkxljMiKreHDx/Czs5OZ9s7ffo0OnbsiClTpmDevHkwMzNDdnY21q9fD4VCAYVCAQB49OgRVqxYUWxZTk4Otm3bhlGjRqFLly6Ijo6Gh4cHGjdujKioKCQmJmLw4MGwt7eHq6sr4uLidJb7aTVr1sTDhw/1sm0iqhr4wedEVG7Ozs6YOHEiZs+erZPttWjRAunp6Xjw4AEUCgVGjBiB1atXo27dutozUk+/ZD29TKPRIDk5Gc2bN4eNjQ127NiBpk2bws3NDY0bN8aUKVMwadIkJCcno127dujWrRsiIyN1kvtpb7/9NmxtbflpAURUXvzgcyIqv6ysLNSoUUNn28vIyEBGRga+//57aDQazJs3D+bm5gCefMD4s55eZmJiAmdnZwBA/fr10b9/f7Rs2RKOjo5ISUnBrFmzYGtrC3d3d9SpUwfnz5/XWe6n2djYICsrSy/bJqKqgeWMiMpNoVBAlyff165dC2tra8yYMQOenp7Izs6GjY1NmfI869nyqFAoUKtWLb1NPXIygogqiuWMiMrN2toa2dnZOtve0KFDcf78efTu3RtnzpyBt7c3tmzZorPtG4KuzyYSUdXDckZE5VajRg2dTuHNnz8fzs7OCA0NxY4dO6BSqTB37lwA/zsr9vjxYwCARqPRnv2S09kqljMiqiiWMyIqt5o1ayIzM1Nn21u+fDkyMjIAPDmLZmNjgwYNGgAAXF1dAQBfffUVrl69ilWrVmmLWmhoKNRqNfLy8gAUL2uFhYUAUKxE5ufnAwDUarXOshfJzMyEra2tzrdLRFWHmdQBiMh4OTk54dq1azrbXl5eHnr06IHhw4fj4sWL8Pb2xurVqwEAy5Ytw927d/Htt98iNjYWa9aswS+//IImTZogMzMTd+7cwcqVKwEAf/75J44ePQq1Wo2UlBQAwOeff44FCxZgx44d2mUrVqzA+++/D3t7e53kF0Lg2rVr2jcmEBGVB2+lQUTltmzZMqxduxZ//vmn1FFk4fbt22jUqBFOnDgBb29vqeMQkXHirTSIqPxcXFxw69Yt5ObmSh1FFoo+U5MfaUVEFcFyRkTl1q5dO2g0GsTGxkodRRZiYmLQsGFD1K1bV+ooRGTEWM6IqNxee+01ODs76+VO+8YoPDwcPj4+UscgIiPHckZEFdK9e3eEh4dLHUNy+fn5iI6ORvfu3aWOQkRGjuWMiCqkV69eiImJwb1796SOIqmjR48iPz8fPXv2lDoKERk5ljMiqpCBAwfCysoKO3fulDqKpLZu3Yo33ngDDRs2lDoKERk5ljMiqhALCwsMGTIEW7dulTqKZB49eoTg4GD4+vpKHYWIKgGWMyKqsHfffRdxcXE4e/as1FEkERAQAODJpxoQEVUUb0JLRDrRoUMHNG7cGHv27JE6ikEVFhaiefPmGDRoEFatWiV1HCIyfrwJLRHpxpw5c/DLL7/g8uXLUkcxqC1btuDu3bv45JNPpI5CRJUEz5wRkU5oNBq0adMGrq6uVebsWW5uLlq2bInevXtj/fr1UschosqBZ86ISDdMTEzw3XffYe/evTh48KDUcQxi8eLFyMjIwMKFC6WOQkSVCM+cEZFODR8+HGfPnsWlS5dgbm4udRy9uXr1Kv7xj3+gc+fOGD9+PDp06ABXV1eYmppKHY2IjFssyxkR6dSdO3fQsmVLvPvuu/j++++ljqMXhYWF8Pb2xtWrV/H3339rl5ubm8PDwwNdunTB66+/jg4dOsDZ2VnCpERkhGLNpE5ARJWHEALp6ekYMGAAVq9ejc6dO2PUqFFSx9K52bNn49KlS4iKisKECRNw4cIFFBYWaj/C6cyZM1CpVNBoNLC0tETr1q3RsWNHtG/fHu3bt4ebm5vUh0BEMsYzZ0RUIRkZGThy5AgOHz6MkJAQ3L9/HwBQo0YNmJqa4vTp02jWrJnEKXVn//79GDJkCAICAuDr64vU1FS4u7vj77//hkqleuFzFAoFqlWrhoKCAgghUK9ePURHR6NJkyaGDU9ExoDTmkRUNhqNBmfPnsXhw4cRHByMuLg4AICZmRkKCgq0/338+HFMnz4dGRkZiIqKQr169aSMrRPR0dHo2bMnxo4di7Vr12qXnzlzBl27dtWWr1dRKBSoW7curl+/DisrK31HJiLjw3JGRCV78OABwsPDceTIEfz666+4d+8elEolVCrVc2XExMQES5cuxaxZs5Ceng5vb28olUocP34cdnZ2Eh1BxV25cgXe3t7o2rUrfvnlF5iZFb8q5JdffsHQoUNLVc527tyJ4cOH6zMuERkvljMierVp06ZhzZo1UCgUMDExeenUHQAolUp06dIF4eHhMDF5cqeeW7duoWvXrnBwcMBvv/2GOnXqGCq6zly6dAl9+/ZFo0aNcOzYMVhaWr5wvYULF2LRokXQaDQvfLzo3ycyMlKPaYnIyPE+Z0T0as7OzhBCQKPRvLKYmZiYwNLSEtu3b9cWMwBo1KgRIiMjkZmZic6dO+P69euGiK0zkZGR8PLyQosWLRAaGvrSYgYACxYswLBhw547q1ZEo9Fg2rRp+opKRJUEyxkRvdK0adPQu3dvKJXKV66n0WiwYcMGNGjQ4LnHnJyccOLECVhbW+ONN97AiRMn9BVXp9avX4++ffuiT58+OHToEGxsbF65vkKhwObNm9GmTZvn/r3MzMzg5OSE4cOHY8qUKcjIyNBndCIyYixnRPRKCoUC/v7+sLS0hEKheOE6ZmZm+Pe//41hw4a9dDv169fH8ePH4enpiR49emDx4sUvnf6TWlZWFkaPHo3Jkydj5syZCAoKQvXq1Uv1XAsLC4SEhKBWrVraG9KamJigdu3aOHPmDPz9/bF37140a9YMq1atku2/ARFJSBARlUCtVot3331XAHjuy8zMTDRr1kzk5OSUalsajUasXLlSVKtWTXTr1k1cvnxZz+nL5tChQ8LZ2VnUrVtXhIaGlns7p06dEtWqVRMKhUIAED///LP2sczMTDFt2jRhZmYm2rdvL2JiYnQRnYgqhxieOSOiV7p16xZ69uyJHTt2oEuXLs9dT6VQKLBr165XXov17PrTp09HdHQ0srOz4e7uDj8/P2RnZ+sjfqndvHkTQ4cORb9+/eDh4YHz58+jd+/e5d5ehw4dEBAQAADo1q1bsXdn2traYtWqVYiLi4OFhQW6dOmCsWPHIj09vcLHQUTGj+WMiF5q9+7dcHd3R2pqKqKjoxEaGooGDRoUm65bunQpPDw8yrztdu3a4dSpU9i4cSM2bdqEJk2aYOHChQa/FislJQXTp0+Hi4sLzp8/j99++w27d+9G/fr1K7ztkSNHYu/evdi6desLH2/bti1OnDiBzZs3IywsDC4uLpzqJCJOaxLR8x4+fCgmTZokAAhfX1+RnZ2tfezEiRPCxMREmJiYCB8fH6HRaCq8v/T0dDF37lxRs2ZNYWtrK2bMmCHOnj1b4e2+jEqlEocPHxajR48WSqVSNG3aVPz000/i8ePHettnSTjVSUT/J4b3OSOiYqKjo+Hr64usrCxs3LgRAwcOfG6dzz//HOvXr8eFCxd0coapyMOHD7F27Vr4+/vj6tWrcHNzw/Dhw9GjRw94enqW+I7RV8nOzsaJEycQFhaGXbt2ITU1FV26dMEHH3yAUaNGvfT2F4b2x0lfJRoAACAASURBVB9/YOrUqfj999/xzjvv4Ntvv4W9vb3UsYjIcHgTWiJ6orCwEIsXL8ZXX32FXr16wd/f/5XFKy8vDxYWFnrLEx0djW3btiE4OBi3bt2CtbU1OnfujFatWqFFixZwcXFBvXr1YG1tDWtra9jY2ODRo0d4+PAhsrOzcevWLSQkJCAxMREXLlzA6dOnoVar4ebmhn/9618YM2aMbD/zUwiBrVu34tNPP0VhYSHmz5+Pjz76qNj944io0mI5IyIgPj4eY8aMQXx8PL7++mtMnz5d6kjFXLt2DeHh4fj9998RHx+PxMREPHz4sMTn1atXD66urmjZsiXeeOMNdO/eHXXr1jVAYt14+PAh5s+fjx9//BFt27bFDz/8gI4dO0odi4j0i+WMqCoTQmDDhg345JNP4Obmhq1bt6JFixZSxyqVtLQ03Lt3D9nZ2Vi3bh0CAgKwdOlS+Pj4wNraGo6OjrC1tZU6pk5wqpOoSuHHNxFVVWlpaRg4cCCmTJmCqVOnIioqymiKGQA4ODigdevW6Ny5M6KiogAACQkJ6NChA/7xj39UmmIG8F2dRFUNz5wRVUH79u3DpEmTYG1tja1bt8LLy0vqSOV27tw5tGvXDgBgaWmJ9PR0vV4LJzVOdRJVejxzRlSV5ObmYvr06RgyZAj69euHixcvGnUxA4CgoCBUq1YNwJM3KRw6dEjiRPrFG9gSVX4sZ0RVRGxsLNzd3bFjxw7s27cPgYGBsLa2ljpWhQghsH37dhQUFAAATE1NsW3bNolTGQanOokqL5YzokpOpVJh2bJl8Pb2RpMmTfDHH39g8ODBUsfSiaioKNy9e1f7vUqlQkhISKneyVkZKBQKjB07FomJiRgzZgxmzpwJT09PxMbGSh2NiCqA5YyoErtx4wbefPNNLFy4EIsWLcLhw4fh6OgodSydeXpKs4harcb+/fslSiQNTnUSVS4sZ0SVVGBgINq0aYNHjx4hNjYWfn5+leompiqVCjt37tROaT7tZZ9lWdlxqpOocqg8r9REBAC4f/8+Bg8ejHHjxuH9999HXFwc2rRpI3UsnQsLC3vhh6RrNBpERkYiLS1NglTS41QnkfFjOSOqRMLCwuDu7o5z584hIiICq1atem7ar7LYsWPHKz9rc8+ePQZMIz+c6iQyXixnRJVAXl4epk+fjr59+6Jr1644f/48unXrJnUsvcnPz8e+fftQWFj4wsc1Gg0CAwMNnEqeONVJZHxYzoiMXFxcHDw8PBAQEIDAwEDs2rULdnZ2UsfSq19//RV5eXkvfVwIgdOnT+PGjRsGTCVfnOokMi4sZ0RGSqPRYNWqVejatSsaNGiAS5cuYcyYMVLHMojt27dDoVCUuN7PP/9sgDTGg1OdRMaB5YzICKWkpKB79+7w8/PDl19+iSNHjqBhw4ZSxzKY69evlzgtJ4TA9evXDZTIuHCqk0je+NmaREZm9+7dmDRpEhwdHbF9+3a4u7tLHUlyoaGh6Nu3LzIzMyvVB54bAj+rk0h2+NmaRMYiMzMT77zzDkaMGIHhw4fj9OnTLGZUYZzqJJIfljMiI3D06FG0bt0a4eHhOHjwINatWwdLS0upY1ElwqlOIvlgOSOSsfz8fMyePRt9+vRBx44dcenSJfTr10/qWFRJ8V2dRPLAckYkU5cvX0anTp2wdu1arF27Fnv27EHt2rWljkVVAKc6iaTFckYkM0IIrFq1Cu3bt4eFhQXOnj2LSZMmSR2LqiBOdRJJg+WMSEZu3bqFHj16YObMmZg9ezaioqLg7OwsdSyqwjjVSWR4LGdEMrF79264u7sjNTUVMTExWLhwIUxNTaWORQSAU51EhsRyRiSxR48e4d///jdGjBiBoUOHIi4uDu3bt5c6FtELcaqTSP9YzogkFB0dDQ8PD+zfvx+//vor1q1bBysrK6ljEb0SpzqJ9IvljEgChYWFWLhwIby9vdGiRQucP38eAwcOlDoWUZlwqpNIP1jOiAwsPj4enTp1wjfffIMVK1bg0KFDqF+/vtSxiMqNU51EusVyRmQgQgisX78eHTp0gJmZGc6fP4/p06dLHYtIJzjVSaQ7LGdEBpCWloaBAwdiypQpmDp1KqKiotCiRQupYxHpHKc6iSqO5YxIz/bt24dWrVrh8uXLiIiIwNKlS6FUKqWORaRXnOokKj+WMyI9ycrKwr///W8MGTIE/fr1w8WLF+Hl5SV1LCKD4VQnUfmwnBHpQWxsLNq3b499+/Zh3759CAwMhLW1tdSxiCRRNNV55swZTnUSlQLLGZEOqVQqLFu2DN7e3mjSpAnOnz+PwYMHSx2LSBbatGnDqU6iUmA5I9KRGzdu4M0338TChQuxaNEiHD58GI6OjlLHIpIVTnUSlYzljEgHAgMD0aZNGzx69AixsbHw8/ODiQl/vIhehlOdRC/H3x5EFXD//n0MHjwY48aNw/vvv4+4uDi0adNG6lhERoNTnUTPYzkjKqfQ0FC4u7vj3LlziIiIwKpVq1CtWjWpYxEZHU51EhXHckZURnl5eZg+fTr69euHrl274vz58+jWrZvUsYiMHqc6iZ5gOSMqg7i4OHh4eCAgIACBgYHYtWsX7OzspI5FVKlwqpOqOpYzolLQaDRYtWoVunbtigYNGuDSpUsYM2aM1LGIKi1OdVJVxnJGVIKUlBR0794dfn5++PLLL3HkyBE0bNhQ6lhEVQKnOqkqYjkjeoXdu3fD3d0dDx48QExMDG+RQSQRTnVSVcLfMkQvkJmZiXfeeQcjRozA8OHDcerUKbi7u0sdi6hK41QnVRUsZ0TPOHr0KFq1aoXw8HAcPHgQ69atg6WlpdSxiOj/cKqTKjuWM6L/k5+fj9mzZ6NPnz7o3LkzLl26hH79+kkdi4heglOdVFmxnBEBuHz5Mjp16oS1a9di7dq12L17N2rXri11LCIqAac6qTJiOaMqTQiBVatWoX379rCwsMDZs2cxadIkqWMRURlxqpMqE5YzqrJu3bqFHj164NNPP8XChQsRFRUFZ2dnqWMRUQU8O9XZsmVL+Pv7Sx2LqGwEyc6CBQsEAH5Vgi8TExMRHBzM8cSvSjOeDOHcuXNCqVRK/u/NL918vffee1IPKWMTYwaSnTt37qBNmzaYO3eu1FEqPSEEFAqF3rY/btw4pKam6m37pcHxVHnIYTwZQlpaGgoLC7FlyxadvFNa3z/n9HI//fQT7ty5I3UMo8NyJlP16tXDsGHDpI5BFTRx4kSpIwDgeKos5DKeDGXw4MGwtbWVOgZVQFhYGG7evCl1DKPDa86IiIiIZITljIiIiEhGWM6IiIiIZITljIiIiEhGWM6IiIiIZITljIiIiEhGWM6IiIiIZITljIiIiEhGWM6IiIiIZITljIiIiEhGWM6IiIiIZITljIiIiEhGWM6IiIiIZITljIiIiEhGWM6IiIiIZITlrBJKSkrC8uXLkZ2djcaNG+PQoUNSRyqRt7c3goODAQAHDx5Ely5dtI8JIbBp0yYMGzYMn3/+OSZMmIAdO3ZoHy/vcZa0XZVKBT8/P9y+fbuCR2fcOJ5K786dO/D398fw4cPRuXPnYo9xPBkOx2zpCCGwceNGuLu7w9raGm3btoW/vz+EEAA4ZqVkJnUA0q3IyEisX78eW7ZsgRACt2/fRm5urtSxSnTt2jU0a9YMAHD9+nU4OztrH1u0aBH8/f1x7tw52NnZISMjAx4eHrh//z6mT58OpVJZruMsabtmZmbw8/PDhAkTsHz5cjg5Oen0mI0Bx1PZNGjQAD179sT48ePh4uJS7DGOJ8PgmC29OXPm4Pbt25g4cSKSkpKwfv16jB8/Hjk5Ofjoo484ZqUkSHYmTJggevfuXebnXb58WTRq1Eikp6drlzVr1kxcvHhRl/F0LisrSygUCpGXlyeEEGLatGliwYIFQgghUlJShJmZmViyZEmx53z11VfCwsJC3L9/XwhR9uMs7XaFEOL8+fPCzc1NZGVllfnYbG1txfr168v8PF3ieNL/eHoWAOHi4vLCx4x9PBnC4cOHBQCRmZlZpudxzJb+OG/evClGjx5dbFnRv7uzs3Ox5RUZs+V9/aniYjitWUloNBqMGTMG7733HmrXrq1d3rJlS+1fY3J1/fp1NGzYEObm5gCA5ORk7V+N27Ztg0qlQo8ePYo9x8fHB3l5edi0aROAsh9nabcLAG3btoWzszNmzZpVruMzRhxP+jvOqjieDIFjtmzHmZKSghUrVhRb1rt3b9jb2+PevXvFlnPMGh7LWSVx4MABnDt3Dn379i22fMqUKdof+NOnT6Njx46YMmUK5s2bBzMzM2RnZ2P9+vVQKBRQKBQAgEePHmHFihXFluXk5GDbtm0YNWoUunTpgujoaHh4eKBx48aIiopCYmIiBg8eDHt7e7i6uiIuLq7EzGvWrIFCoYC7uztu3bql3V9ISAjGjh0LhUKB/fv3AwAaNmxY7LmNGjUCAPzxxx/PHWdpREVFlWq7Rfr06YMNGzbg+vXrpd6HMeN4Ktt4KquqNp4MgWO2bGPWy8sL9erVe255QUEBvL29n1vOMWtgUp+7o+eV5zTwyJEjBQBRUFDw0nWaN28u7OzshEajEUIIMXz4cJGWliaEEMLJyUk8OxyeXqZWq8XVq1cFAGFjYyNCQkLE5cuXBQDRuHFj8c0334jMzExx9uxZAUB069atxMyFhYUiLy9PzJ07V0yePFnk5eWJrKwsoVQqxZ07d0ReXp5o06aNACByc3OLPTcnJ0cAEJ06dSrLP5NW27Zty7TdouN6dmqhJHKYhuJ40v94ehZeMa0phHGPJ0Moz7Qmx2zFRUVFCXNzc3HmzJnnHivvmOW0ZrlwWrOyiI6Ohq2tLZRK5UvXycjIQEZGBr7//ntoNBrMmzdP+5fWi5739DITExPtafb69eujf//+aNmyJRwdHZGSkoJZs2bB1tYW7u7uqFOnDs6fP19iZjMzM5ibmyMhIQHu7u4wNzfH7du3YW9vD0dHR5ibm8PW1hYAtH+9Fin6vqCgoMT9vIiNjU2Ztuvg4AAA+O9//1uu/Rkbjif9qmrjyRA4ZitGpVLhs88+g7+/P9q1a/fc4xyzhsVyVkn89ddfsLOze+U6a9euhbW1NWbMmAFPT09kZ2drS0ppPPviAAA1atR4bp1atWrh4cOHxZa7uro+9+Xl5QVXV1eEhITgyy+/hKurK3r16oW///4brq6umDNnDlxdXQEAmZmZxbaXkZEBAHB0dCx1/mfzlGW7NWvWBACkpaWVa3/GhuNJv6raeDIEjtmK+eKLL9CjRw+MGjXqhY9zzBoWb6VRSZiamkKtVr9ynaFDh8LDwwMffvghwsLC4O3tjQ0bNmDcuHF6z5eQkPDC5bm5uahRowaSkpJgaWmJefPmITc3V3uh6qpVqwAAd+/eLXZ9RGpqKoAn102Uh5ubW5m2+6IX5cqM40m/qtp4MgSO2fILDg6GlZUVZs+e/dJ1OGYNi2fOKon69es/95fVs+bPnw9nZ2eEhoZix44dUKlUmDt3LoD//eA9fvwYwJN3PhX95Sf+74aE+nDt2jU0bNgQlpaW2u+ffseRr68vbG1tERERUex54eHhUCqVGD16dLn2W9btFv2V+qILaCsjjif9qmrjyRA4ZssnLCwMt2/ffq6Y/f7778W+55g1LJazSqJbt27IyspCVlbWS9dZvny59gds6NChsLGxQYMGDQD8b5rvq6++wtWrV7Fq1Srti1RoaCjUajXy8vIAFH+hKiwsBIBi+83PzweAEv+KBZ7cyfvpm3U++8JUq1YtzJkzBz/99JN2H48ePcL69esxd+5c7TuWnj3Oli1bIigo6KX7Let209PTARjuzIrUOJ6KH2dJ4+lpRTcCfVXeqjaeDIFjtvhxlmbMHj16FEuXLoVarcaaNWuwZs0arF69Gh9//DF+++23YutyzBqYlG9HoBcrz7tbIiMjBQARGhr60nUACA8PD/H111+L0aNHi/79+4vk5GQhhBCJiYnC09NTWFpail69eonExETh5eUlxowZI4KCgkRKSor4+OOPBQBRrVo1ceTIEXH48GFhamoqAIiPPvpIpKeni++//14AEADEsmXLit3M9UUWL14spk6dqv2+Zs2a4vr168XW0Wg0YuPGjWLMmDHis88+E0OHDhXr1q3TvuPqWZMnTxYKhUI4Ojq+ct9l2e6PP/4oTExMxLVr1165zWfJ4d11HE+GGU9CCBEeHi4mTpwoAAgzMzOxbNkyce7cuefWM+bxZAjlebcmx+z/lGbMnjx5UlhYWGizPvv17Ngs75jluzXLJYblTIbKO5j79esnpk+frodExichIUF4enrqbHsDBgwQEyZMKPPz5PDLlOOp4jieDKu8nxDAMfs/chmzLGflwltpVCabN2/Gb7/9hr/++kvqKJLKycnB6tWrsXHjRp1sLyYmBklJSc/dTbuy43h6guPJeHDMPsExa/xYzioRBwcH7N27Fx9//DFycnKkjiOZ5ORkLFmyBK1bt67wtu7evYvFixfj6NGjZXrLfWXA8fQEx5Px4Jh9gmPW+LGcVTKtW7fG4sWL8cMPP0gdRTKtW7fWyYtIYWEhAgMDsX379hdedFsVcDxxPBkbjlmO2cqA9zmrhJycnPDpp59KHcPoKZXKV973p6rgeNINjifD4ZjVDY5Z6fDMGREREZGMsJwRERERyQjLGREREZGMsJwRERERyQjLGREREZGMsJwRERERyQjLGREREZGMsJwRERERyQjLGREREZGMsJwRERERyQjLGREREZGMsJwRERERyQjLGREREZGMmEkdgJ5nZmaGsLAwKBQKqaOQDpiZSftjxvFUuUg9ngyh6Bhr1qwpcRLShbfeekvqCEZHIYQQUoeg4u7evYuTJ09KHaNCVq5cid9//x1DhgzByJEjpY4jGVNTU/Tp0wdWVlaSZagM46kkoaGh2LRpE5YuXQonJyep4+iNHMaTIahUKhw8eBAFBQVSR9E7jUaDcePGoU2bNpg5c6bUcfTCw8MDzZo1kzqGMYllOSOdW716NaZPnw6FQoFZs2Zh6dKlUkeiSs7T0xOnT5/Gf/7zHyxfvlzqOESlFhcXhw4dOsDExASJiYksMQQAsbzmjHQqNjYWn3zyCYQQUCqV0Gg0UkeiSi4lJQVxcXEAgG3btnHMkVGJjIyEUqmEqakpvvvuO6njkEywnJHO3Lt3D4MGDULRyVghBFQqlcSpqLILCgqCqakpACAtLQ0nTpyQOBFR6R09ehRqtRqFhYXYtGkT0tPTpY5EMsByRjqh0WgwatQo/P3331Cr1drlLGekb4GBgdpxplQqsWPHDokTEZWOSqXCf//7X+3ZXo1Gg7Vr10qciuSA5Yx0Yu7cuTh+/DgKCwu1y3jmjPQtPj4e8fHx2u8LCwuxc+fOKnEhORm/M2fOIDc3V/t9YWEhvvvuO+Tl5UmYiuSA5YwqLCQkBEuXLi12xgxgOSP92759O5RKZbFl2dnZCAsLkygRUekVXW/2tEePHmHr1q0SJSK5YDmjCklJScGYMWNeeA8tljPSt61btxY7Wws8ud3E9u3bJUpEVHpF15s9TaPRYOnSpXxjSxXHckbllp+fj4EDByI3N/elLyTPvvAQ6UpMTAxu3rz53HKVSoV9+/YhOztbglREpaNSqXDy5MnnXjuFEPjzzz8REhIiUTKSA5YzKrfJkycjPj7+uTMXRXjmjPQpKCgI1apVe+FjhYWFCA4ONnAiotI7ffr0S68tMzEx4f0hqziWMyqX/fv3Y8uWLa8sXxqN5qXFjagiNBoNduzY8dIL/xUKBbZt22bgVESlFxER8dz1ZkXUajWio6MRExNj4FQkFyxnVC5t27bF6NGjYWVlBYVC8dIXGZYz0odjx4698n5QarUaoaGhePDggQFTEZXe0aNHX/nHrVKpxP/7f//PgIlITljOqFyaNm2K7du3Iz09Hfv27UPfvn1hZmb2XFHjtCbpQ1BQUIkfAC6EwN69ew2UiKj0CgoKEB0djVd9emJhYSH279+PGzduGDAZyQXLGVWIubk5Bg0aBE9PT9SsWRN79uzBsGHDYGlpCQB8xxHpxbFjx0os/hqNBhEREQZKRFR6Z8+eRX5+vvZjm55Vo0YNODk5oWvXrnwNraL4weekE23btkXXrl3x448/AnjyTs6wsDDUqVMHnTt3ljgdVTa3bt3CvXv3tN9HR0fjo48+QmRkJKytrbXLmzZtilq1akkRkeil7t+/j2+//RY2NjaoX78+6tSpg4CAAKSkpODEiROoXr261BFJWrEsZ1RhSUlJcHFxQXh4OLp37y51HKqCQkND0bdvX2RmZsLW1lbqOERltmjRImzbtg2JiYlSRyHpxXJakyps165dqFOnDry9vaWOQkRklBwcHJCWliZ1DJIJljOqsN27d2Po0KElXqBNREQv5uDggIcPHyI/P1/qKCQDLGdUIUlJSbhw4QKGDRsmdRQiIqPl4OAAAMWupaSqi+WMKoRTmkREFVdUzji1SQDLGVUQpzSJiCquXr16AFjO6AmWMyo3TmkSEemGhYUFrK2tWc4IAMsZVQCnNImIdIfv2KQiLGdUbpzSJCLSHZYzKsJyRuXCKU0iIt1iOaMiLGdULpzSJCLSLZYzKsJyRuXCKU0iIt1iOaMiLGdUZpzSJCLSPZYzKsJyRmXGKU0iIt1zcHBARkYGCgoKpI5CEmM5ozLjlCYRke45ODhACIH79+9LHYUkxnJGZcIpTSIi/eBHOFERljMqE05pEhHpB8sZFWE5ozLhlCYRkX7UqFEDlpaWLGfEckalxylNIiL9qlu3LssZsZxR6XFKk4hIv3g7DQJYzqgMOKVJRKRfLGcEsJxRKXFKk4hI/1jOCGA5o1LilCYRkf6xnBHAckalxClNIiL9YzkjgOWMSoFTmkREhuHg4IAHDx5ApVJJHYUkxHJGJdq9ezenNImIDMDBwQEajQbp6elSRyEJsZxRiTilSURkGPyUAAJYzqgESUlJ+OOPPzilSURkACxnBLCcUQk4pUlEZDg1a9aEubk5y1kVx3JGr8QpTSIiw6pTpw7LWRXHckYvxSlNIiLD4+00iOWMXopTmkREhsdyRpyrqmTy8vIQGxuLy5cvIz4+HklJSbh58yZycnKQk5ODjIwMWFhYwMrKCjY2NqhduzaaN28OV1dXuLi4oHPnzmjUqBEATmmSvKSlpeH3339HQkICEhMTkZSUhLS0NGRnZyMrKwsA0LhxY1hZWcHKygoNGzZEixYt4OLiglatWqFz586wtraW+CiIihNC4PLlyzhz5gwSExORmJiIixcvIj8/H7Vq1UJ2djY0Gg1sbGxga2sLKysrODs7w8XFBS4uLnB3d4e7uztMTU2lPhTSIYUQQkgdgiomISEBe/bswbFjxxATE4P8/HzUrl0bLi4ucHV1RdOmTbW/sOzs7JCbm4ucnBxkZWXh3r17SEpKQkJCAv7880+oVCo0a9YM7dq1w65duxAWFoZevXpJfYhUBanVahw9ehQhISGIiIjA5cuXYWJigsaNG2tLl6Ojo3ZsW1tb4+HDh8jOzkZOTg5u3ryJxMREJCQkIC0tDWZmZvD09ET37t3xr3/9Cx4eHlIfIlVRmZmZ2Lt3L8LCwhAZGYl79+7B3NxcO66bN28OGxsb2NnZwcrKCiYmJsjKytKO76SkJO1XdnY27Ozs8MYbb6BXr14YOnSo9h2fZLRiWc6MVGZmJrZt24atW7fi1KlTaNCgAXr27AkfHx90795de/arLPLz8xEdHY3w8HBt0bOzs8PIkSPx3nvv4fXXX9fDkRAVFx8fj02bNiEoKAipqalo166ddlx7e3uX6+xXWloaIiIiEBERgaNHjyI5ORmtWrWCr68v3n33Xf4yI73TaDT47bffEBgYiODgYCgUCnTv3l375eHhAROTsl1pVHTWLTw8HBEREQgPD0dubi769OkDX19fDBkyBEqlUk9HRHoUC0FG5f79+2LBggXCzs5OWFhYiGHDhokDBw6IwsJCne/rzp07YuXKlcLDw0MAEF27dhUHDhzQ+X6IhBDi3LlzwtfXV5iamopGjRoJPz8/kZSUpJd9xcXFiWnTpok6deqI6tWrC19fX3H16lW97IuqNrVaLXbt2iVatmwpTExMRNeuXcW6devEw4cPdb6vvLw8ceDAATFs2DChVCrFa6+9JlauXClyc3N1vi/SqxiWMyORm5srPv/8c2FpaSnq1q0rvv76a738cL9MeHi48PHxEQCEl5eXOHfunMH2TZXb1atXRf/+/QUA4enpKfbv3y80Go1B9p2XlyfWrFkjGjduLJRKpZgyZYrIyMgwyL6p8tu3b59wcnISSqVSjB07VsTHxxts3ykpKWLKlCnC3Nxc1KtXT2zevNlgP1dUYSxnxiA4OFg0bdpU2NraihUrVkj6V1B0dLTo0qWLMDU1FdOmTTNoQaTKJS8vTyxYsECYm5uLNm3aiLCwMMmyFBQUiA0bNoi6desKBwcHERgYyF9kVG7Jycmif//+QqFQCF9fX3Hjxg3JsqSmpoopU6YIU1NT4eXlJS5cuCBZFio1ljM5y83NFdOmTRMAxIABA8TNmzeljiSEEEKj0YiAgABRt25d0ahRIxEVFSV1JDIy8fHxonXr1sLS0lIsWLBAPH78WOpIQgghMjIyxLRp04SpqakYMGCASE9PlzoSGZmAgABhZWUlWrRoIekfHM86d+6c6Ny5szAzMxMLFiwQarVa6kj0cixncnXp0iXRsmVLUbt2bREcHCx1nBe6f/++6N+/v1AqleKbb77hmQYqFX9/f2FpaSm6du0qUlJSpI7zQlFRUaJRo0b844NKLTs7W4wdO1YoFAoxa9YsUVBQIHWk56jVarFs2TJhZmYm+vfvzz8+5IvlTI4OHTokrKysRNeuXWVztuxlNBqN+OabwAOlrAAAIABJREFUb4RSqRQjR46UzRkQkh+1Wi2mTZsmFAqF8PPz08ubWHQpPT1dDBgwQCiVShEQECB1HJKx1NRU4e7uLuzt7cXBgweljlOikydPikaNGommTZvq7U03VCEsZ3Kzfft2oVQqxbhx42T/y+tpx44dEzY2NqJXr14iKytL6jgkM48fPxajR48W1atXF7t27ZI6TqlpNBrh5+cnFAqFWL58udRxSIauXbsmnJ2dhYuLi6TXlpXVvXv3RIcOHUTdunVFXFyc1HGoOJYzOVm/fr0wMTERs2bNMsopwjNnzggHBwfh6ekpHj16JHUckomCggLRv39/UaNGDXHs2DGp45TLt99+KxQKhZg/f77UUUhGEhISRL169USHDh3EvXv3pI5TZllZWaJ3796iRo0aIjo6Wuo49D8sZ3KxZ88eYWpqKr744gupo1RIUlKScHBwEL169eIUJwm1Wi3eeecdUaNGDREbGyt1nArZuHGjUCgUYvXq1VJHIRm4ffu2aNy4sejUqZNRzxY8fvxYDBw4UNSuXVtcuXJF6jj0RAw/IUAGIiIi0K9fP0ycOBGrV6+WOk6FnTt3Dm+++Sbeeust7NixAwqFQupIJJEZM2Zg7dq1OHjwIHr27Cl1nApbunQpPv/8cwQFBWH48OFSxyGJZGRk4I033oBGo8GJEydQu3ZtqSNVSF5eHnr16oVbt27h5MmTaNiwodSRqjp+fJPUbt++DQ8PD3Tv3h07d+4s88d3yFV4eDj69u2LRYsWwc/PT+o4JIHAwECMGzcOQUFBGDFihNRxdGb69OnYuHEjYmNj0apVK6njkIEJITBo0CCcPXsW0dHR5fqoPDnKyMiAl5cXbG1tcfz4cX7sk7RYzqSkUqng4+OD/8/enYfHdLZ/AP/OTPZVRGILSYQkEpGggthDLa1q1dJauyktSvUtWkvpq7wobRXdqCqxtkXtCRJrIvaEREREIokKiez7zNy/P/wyr7x2ZuY5M3N/rqvX1UyOM9/h3DP3POd5zrl58ybOnDkDe3t70ZG0asmSJfjss88QFRWFTp06iY7D9OjKlSto06YNxowZg8WLF4uOo1VKpRLdu3fHrVu3cPr0aaOrW/Zo33zzDaZNm2aU72vJycl44YUX8MEHH2DRokWi45gybs5E+uKLL7B48WLExsYiICBAdBytq/6Gef78ecTHx6NWrVqiIzE9qKysRNu2bWFtbY2jR48a5TfwjIwMtGrVCq+++ip+/fVX0XGYnpw5cwYhISGYM2cOPv/8c9FxdKJ6xHv37t3o27ev6DimipszURITE9GqVSssXrwYH330keg4OpObmws/Pz8MHjwYy5cvFx2H6cH8+fMxb948XLx4EZ6enqLj6MzWrVsxaNAgREVFoWvXrqLjMB1TqVRo164d7OzsEBkZaTRTUB5k6NChOHHiBBISEmBjYyM6jini5kyUHj16oKCgALGxsVAoFKLj6NSaNWvw3nvvISYmBsHBwaLjMB26fv06/Pz8MGPGDKMdWbjXK6+8gtTUVJw/f94oRwjZfy1fvhyTJ0/G2bNnjfJMx71u3ryJ5s2bY/z48fjqq69ExzFF3JyJsGnTJgwfPhwnTpxA27ZtRcfROSJC165doVQqER0dLToO06GBAwciMTERcXFxsLCwEB1H51JTU9GiRQvMmzcPkydPFh2H6Uhubi6aNm2KsWPHYsGCBaLj6MX333+PqVOnIiEhAV5eXqLjmBpuzvRNrVajZcuWCAoKQlhYmOg4enPq1CkEBwcjPDwcvXr1Eh2H6cCFCxcQGBiI7du3o3///qLj6M3UqVOxbt06pKamwtraWnQcpgOzZ8/GihUrkJaWBjs7O9Fx9EKpVKJ58+bo1q0bVq5cKTqOqeHmTN+2bduGgQMHIj4+3uSW4ffp0wdlZWU4fPiw6ChMB4YOHYoLFy4gPj7eqOfj/K/s7Gx4enri66+/xvjx40XHYVpWXFwMDw8PTJo0CbNmzRIdR69WrVqFcePG4cqVK3B3dxcdx5TEms47qEQsXLgQAwYMMLnGDABmzpyJI0eO8KlNI5Samoo//vgDM2fONKnGDADq1q2L0aNHY9GiRVCpVKLjMC37+eefUVVVhQkTJoiOonejRo1C/fr18d1334mOYnJM611UsISEBMTGxmLixImiowjRqVMntG7dGqtXrxYdhWnZ77//jrp162Lw4MGiowgxceJEZGRk4MCBA6KjMC1bvXo1Ro4cCScnJ9FR9M7CwgIffvghwsLCUFlZKTqOSeHmTI/Wrl0Ld3d3dO7cWXQUYUaOHIk//vgDpaWloqMwLSEihIWFYfjw4Ua/8vhhmjZtivbt25vUPFJTcOrUKSQmJmLUqFGiowgzcuRI5OXlYe/evaKjmBRuzvRErVZj/fr1GDFihMmd9rnX0KFDUVpaip07d4qOwrTk+PHjSE1NxYgRI0RHEWrUqFHYtm0biouLRUdhWhIWFgYfHx+TvgRQw4YN0bVrV6xbt050FJNiul2CnsXFxSErK8tkT/tUq1u3Lrp06YLdu3eLjsK0ZPfu3fDx8UHLli1FRxFq4MCBKC0txaFDh0RHYVqyZ88eDBo0SHQM4QYNGoSIiAgolUrRUUwGN2d6EhkZCWdnZ6O/eOGT6N69Ow4ePCg6BtOSyMhIhIaGio4hnIuLCwICAhAVFSU6CtOCjIwMpKSkoEePHqKjCBcaGoqioiKcOnVKdBSTwc2ZnkRFRSE0NNSkT2lWCw0NxY0bN3DlyhXRUdhzKioqwtmzZ9G9e3fRUSQhNDQUkZGRomMwLYiMjISVlRXat28vOopwPj4+cHNz4y8eesSdgp6cOHHCpBcC3Kv6pth8SQ3Dd/LkSSiVSnTp0kV0FEno0qUL4uPjUVJSIjoKe04xMTGa9yoGdO7cmd+z9YibMz24ffu25gbgDDA3N0fTpk1x+fJl0VHYc0pKSkLt2rVRt25d0VEkoXnz5lCr1TwqbASSkpL4PfsezZs35/dsPeLmTA+SkpIA3B0aZnf5+vpyoRuBy5cvw9fXV3QMyfDy8oK5ubmm5pnhunz5Mr9n38PHxwfXrl1DRUWF6CgmgZszPbhy5QpsbW3RsGFD0VEkw8fHh5szI5CcnAxvb2/RMSTD3Nwcnp6eSE5OFh2FPYfCwkLcvHmTm7N7+Pr6QqVS4erVq6KjmARuzvQgJycHLi4ukMlkWtvnqVOn0K5dO4wfPx6zZs2CmZkZiouL8csvv0Amk2meq7CwEEuWLKnxWElJCcLCwjB06FCEhIQgJiYGrVq1gru7O44dO4bLly/jtddeQ506deDr64vTp09rLXc1V1dX5Obman2/TL9ycnLg6uqqtf0Z+nEN8LFtDKr//fjY/q/qvws+tvWEmM7NnDmTAgICtLrPZs2akZOTE6nVaiIiGjJkCGVnZxMRUZMmTeh//2nvfUylUtGVK1cIADk4ONCuXbsoISGBAJC7uzstWrSI8vPz6ezZswSAunbtqtXsRES//fYb2djYaH2/TL+8vb1p7ty5WtufoR/XRER9+/alt99+Wyf7ZvoRFxdHACgpKUlr+zT0Y7u4uJgA0O7du7W+b3afEzxypgfFxcWwt7fX6j7z8vKQl5eH77//Hmq1GrNmzYKVlRWAu6dW/te9j8nlcnh5eQEA6tevj5dffhl+fn5o0KAB0tPTMWXKFDg6OiIoKAguLi44f/68VrMDgL29PcrKyvhG0QauuLgYdnZ2WtufoR/XwN1ju6ioSCf7ZvpR/e/Hx/Z/2djYQKFQ8LGtJ9yc6UFFRQUsLCy0us8ff/wRdnZ2+PjjjxEcHIzi4mI4ODg88Z9/0CnW/20gZTIZateujYKCgufO+7+srKxARDy51MBVVFTA0tJSa/sz9OMauHtsl5eX62TfTD+qb/LNx3bNfVtYWPCxrSfcnOmBra2t1q97NGjQIJw/fx69evXCmTNn0LlzZ6xZs0arz6FLRUVFUCgUfA0hA6ftY9vQj2tANyPlTL9sbW0BgI/te6hUKpSXl2t1NJE9HDdnemBvb6/1myF/8cUX8PLyQnh4ODZs2AClUomZM2cC+O83rOpRKbVarfkmRURazfGsioqKYGdnp9VFEkz/tH1sG/pxDdyd0M3NmWGr/vfT5ik8Qz+2i4qKQERPNdrHnh03Z3pgb2+PwsJCre5z8eLFyMvLA3D3G5mDg4PmUh3V15366quvcOXKFSxdulRT9OHh4VCpVCgrKwNQs/CrqqoA1HxDqh7C1vbcsKKiIv4AMwLaPrYN/biufh4+tg1b9b8fH9v/Vf13wce2fnBzpgcNGzbEzZs3tTq/qqysDD169MCCBQvw9ttvo3Pnzti0aRMAYOHChQgODsY333yD8ePH4+WXX4a/vz9GjBiB/Px8ZGVlYcaMGQCAtLQ0HDhwAOHh4UhPTwcAzJgxA7m5uVi2bJnmsSVLliAnJ0dr+dPS0uDm5qa1/TEx3NzccP36da3tz9CP6+rn5mPbsNWtWxfm5uZ8bN+jer98bOuHjKQyZmrE4uPjERgYiISEBL4dyP/r3bs3GjRogN9++010FPYcZs6cie3bt+PixYuio0hCQUEBatWqhd27d+Oll14SHYc9Bx8fHwwbNgyzZ88WHUUSVq1ahY8//hhFRUU8HUX3YnnkTA+aNWsGuVzOV8S/B98axTj4+PggJSWFL4ny/6prnG9pZfj4LiY1Vb9nc2OmH9yc6YG1tTWaNGmis+sqGZo7d+4gIyMD/v7+oqOw59SiRQtUVFTg0qVLoqNIwvnz52FnZwd3d3fRUdhzatGiBb9n3yMuLo7fs/WImzM96dq1K6KiokTHkIRDhw5BJpOhU6dOoqOw59SyZUs4OTnxsf3/oqKi0LlzZygUCtFR2HPq0qULLl26hBs3boiOIlxlZSWio6PRrVs30VFMBjdnetK9e3fExsZq/XpnhigqKgqtWrWCk5OT6CjsOSkUCnTp0oWbM9xdRXfo0CF0795ddBSmBV26dIGFhQUOHz4sOopwMTExKCkpQWhoqOgoJoObMz0JDQ1FVVUVDh06JDqKcBEREVzkRiQ0NBSHDh3SXFXdVMXFxeHmzZvcnBkJGxsbBAcHIyIiQnQU4SIiIuDp6QkPDw/RUUwGN2d6Ur9+fYSEhGDDhg2iowh16tQpJCcnY9CgQaKjMC0ZOHAgCgsLsXfvXtFRhFq/fj3c3d3Rpk0b0VGYlgwcOBBbt25FaWmp6CjCEBE2bdrE79l6xs2ZHo0cORLbtm3T2T39DMG6devQrFkztG3bVnQUpiUNGzZE165dsW7dOtFRhFGr1di0aRNGjRrFq9mMyLBhw1BWVoYdO3aIjiLMsWPHkJqaihEjRoiOYlK4OdOjIUOGQK1W488//xQdRYjy8nJs2rQJb731lugoTMtGjRqFXbt24fbt26KjCBEREYHMzEz+ADMyrq6u6NWrl0HdA1Pb1qxZg8DAQLRs2VJ0FJPCzZkeOTk5YdiwYVi8eDHUarXoOHr322+/oaioCO+++67oKEzLBg8eDAcHByxdulR0FCEWLlyIF198Ed7e3qKjMC0bN24cIiIiTPKyGpmZmVi/fj3GjRsnOorJ4TsE6FlKSgp8fX2xceNGDB48WHQcvamqqoK3tzdefvllLF++XHQcpgPz58/HokWLkJaWhlq1aomOozcxMTEICQnBoUOH0LVrV9FxmA688MIL8PLywubNm0VH0auPP/4Yf/31F1JSUmBpaSk6jinhOwToW9OmTTFw4EB89dVXJnVV9TVr1iArKwtTpkwRHYXpyPjx4yGTyfD999+LjqJXX3zxBTp16sSNmRH77LPP8Oeff5rUbcpu3LiBlStXYsqUKdyYCcAjZwIkJSUhMDAQS5YswYQJE0TH0bk7d+7A19cXb775psl9cJuaBQsWYO7cuUhISDCJZfdbt27FoEGDcPjwYXTu3Fl0HKYjarUa7dq1g62tLaKiokxi0cfQoUMRGxuLhIQEWFtbi45jamK5ORNk+vTpWLFiBS5duoQGDRqIjqNTH3zwAbZv346kpCSTOt1liiorKxEUFAQPDw/s2bNHdBydKi0thb+/P7p27WrSE8ZNxZkzZ9CuXTusWbPG6Bd+HD58GN27d8eOHTvQr18/0XFMETdnopSWlsLPzw9t27bFH3/8ITqOzhw9ehTdunXD2rVrMXz4cNFxmB5ERUWhR48e2LRpE4YMGSI6js5MmjQJa9euxeXLl+Hq6io6DtOD8ePH488//0R8fDzq1q0rOo5OFBcXo02bNmjevDm2b98uOo6p4uZMpMjISLz44otYvnw5PvzwQ9FxtO727dto1aoV2rZti61bt5rEqQB21/jx47F+/XqcOXMGXl5eouNo3d9//40BAwYgLCwMw4YNEx2H6UlhYSFat24NDw8PREREQC43vmnbI0aMQEREBM6dO4eGDRuKjmOquDkTbfbs2Vi0aBGio6PRqlUr0XG0Rq1W4+WXX0ZSUhLOnj3L99E0MeXl5ejQoQMUCgWOHz9uVBOK09LS0Lp1awwcOBArV64UHYfp2ZkzZ9CxY0dMnz4dX3zxheg4WrVq1SqMHTsWe/bsQe/evUXHMWXcnImmUqnw4osvIiUlBcePH0ejRo1ER9KKyZMn48cff8SRI0cQHBwsOg4T4MqVK3jhhRfw0ksvYf369UYxypCXl4cuXbpALpfjxIkTPFHaRC1fvhyTJk3Chg0b8MYbb4iOoxVRUVHo27cvPv30U3z11Vei45g6vpSGaAqFAtu2bUPt2rXRo0cP3Lp1S3Sk57ZgwQJ8//33WLt2LTdmJqxZs2b4+++/sX37dqNYlVxWVoZXX30VeXl52LlzJzdmJmzChAn4+OOPMXLkSISHh4uO89wuXLiA119/HQMGDMC///1v0XEYABCThMzMTHJ3d6fg4GDKzc0VHeeZrVixgmQyGS1btkx0FCYRW7ZsIblcTtOnTxcd5ZmVlpbSyy+/TLVr16aEhATRcZgEqFQqGjZsGNnb29ORI0dEx3lmFy5coHr16lHPnj2poqJCdBx21wluziTk8uXL1LhxY/Lz86Pr16+LjvPUvvjiC5LJZDR//nzRUZjErF69mszMzGjMmDGkVCpFx3kqubm51LFjR3J2dqbY2FjRcZiEVFRU0MCBA8nKyoq2bdsmOs5TO3LkCDk5OVHXrl2psLBQdBz2X9ycSU1mZia1aNGCGjVqROfOnRMd54mUl5fT6NGjSaFQ0KpVq0THYRL1999/k7W1Nb322msG80GQkpJC/v7+1LhxY0pMTBQdh0mQUqmkDz74gBQKBa1YsUJ0nCe2efNmsra2ptdff53KyspEx2E1cXMmRXfu3KHu3buTlZUV/fTTT6LjPFJKSgq1adOGHBwc6O+//xYdh0nc0aNHydXVlby9ven8+fOi4zzSn3/+SY6OjhQUFEQZGRmi4zCJmzt3Lsnlcho6dKikv3yUl5fThAkTCAB99NFHBjeSbSK4OZMqpVJJs2bNIrlcTkOGDKHs7GzRkWpQq9W0du1azYdXcnKy6EjMQGRlZVG3bt3IysqKli5dKrkPh4KCAho3bhwBoA8++IBHFdgTi4iI0Hz5iI6OFh3nPvHx8Zov05s2bRIdhz0cN2dSt3//fmrUqBE5OTnRDz/8QCqVSnQkSkhIoG7dupFcLqePPvqIP7zYU1MqlTRnzhyysLCg1q1b04kTJ0RHIiKiDRs2UIMGDcjZ2Zk/vNgzuXHjBvXq1YtkMhm99957dPv2bdGRqLCwkD755BMyMzOjdu3a8Zdp6ePmzBAUFxfTlClTyNzcnIKCgmjr1q1CmrRr167Rhx9+SObm5tSmTRs6efKk3jMw45KYmEjdu3cnuVxOw4cPF7YScv/+/dS5c2eSy+U0evRoysnJEZKDGY/NmzdTw4YNqXbt2jRv3jzKz8/Xe4bS0lL6/vvvqUGDBlS7dm366aefJPEFnz0WN2eGJCEhgV5//XWSy+XUokUL+v3336mkpETnz3vu3Dl65513yNzcnDw8POiXX36R3KkoZtg2bdpEfn5+JJfLaeDAgXTs2DFSq9U6fc6Kigr666+/qH379gSAXnzxRcmM4DHjUFhYSDNnziRHR0eqVasWzZw5Uy8r8bOzs2nhwoVUt25dsrGxoYkTJ0piBI89MW7ODNHFixdp+PDhZG5uTvb29vT222/T/v37qby8XGvPkZKSQgsXLqQWLVoQAPL19aU1a9ZQZWWl1p6DsXupVCr666+/qE2bNgSAvLy8aPbs2VodTauqqqKjR4/SuHHjyNnZmeRyOfXv358vkcF0Kj8/n+bOnUsuLi4kl8upe/futHr1arp165ZWn2Pjxo308ssvk5mZGTk4ONC0adPo5s2bWnsOpjcn+PZNBuz27dvYuHEj1q1bh9OnT8PGxgYdO3ZE9+7d0bp1a3h7e8Pd3f2xt83Jz89HcnIyEhMTceTIEURFRSEtLQ21a9fGG2+8gREjRiAkJERPr4oxIC4uDmvXrsXGjRvxzz//oH79+ggNDUWXLl3g7+8PHx8f1KlT57H7uX79OpKTkxEfH4+oqCgcPnwYRUVF8Pf3x8iRIzF8+HC4ubnp4RUxBlRWVmLv3r1Yt24ddu3ahcrKSgQEBCA0NBQhISHw9vaGj48PrKysHruflJQUXL58GbGxsYiKisKZM2cgk8nQq1cvjBgxAq+99hrfxcJw8b01jUVaWhoiIyMRGRmJQ4cOISsrCwBgaWmJxo0bw8HBAY6OjrCzs0NZWRmKi4tRVFSEW7duaW4ZZWVlheDgYISGhiI0NBTt2rWDhYWFyJfFTJxKpcLp06cRFRWFyMhIxMTEoLi4GADg7OyMevXqwc7ODnZ2dqisrISlpSXy8vJQXFyMzMxMlJSUAABcXV3RpUsXzbHt4+Mj8mUxhsLCQhw+fFhzbF+8eBEqlQpyuRwNGjRAnTp1NMe2XC5HcXExiouLkZOTg6ysLM22Pj4+6N69O0JDQ9GtWzc4OzuLfmns+XFzZowqKyvRpEkT5Obm4scff0RWVhaKioqQn5+P4uJiWFtbw97eHnZ2dnB2doaPjw+8vb3h4eFhFDenZsaLiJCRkYHk5GRcvnwZt2/fRnFxMc6cOYNDhw5hyJAh8PDwgJ2dHRo0aAAfHx/4+vo+0SgbYyJVVlbiypUruHz5Mq5du4bc3FxNQ6ZWqzWNmrOzM+RyOT799FP069cPO3fuFB2daV+smegETPtWrFihGTnr1q0bPDw8xAZiTEtkMhkaN26Mxo0bo2fPnprHe/ToAQBo3rw55syZIygdY8/OwsIC/v7+8Pf3f+y2mzdvBgDs3r0b0dHRPO3ECPEwiZHJz8/Hl19+qfn54sWLAtMwpnvZ2dk4fPgwAGDNmjViwzCmBxcvXoSlpSUUCgUmTpwIPgFmfLg5MzLz58/XzLOxsLDg5owZvS1btkAmkwEA0tPTcfr0acGJGNOtuLg4VFZWQqlU4uzZs9i6davoSEzLuDkzIpmZmVi6dCmUSiWAu5OpL1y4IDgVY7q1du1aqFQqAIC5uTk2btwoOBFjunXu3DnNaJlMJsPkyZNRWVkpOBXTJm7OjMi0adNqDG+rVCqcPXtWYCLGdCs9PR1nzpzRHPdVVVU1mjXGjE1paalmTjEAqNVqZGVlYeXKlQJTMW3j5sxIxMXFYePGjaiqqqrx+NWrV+97jDFjsX79epiZ1VzXlJOTgyNHjghKxJhuJSQk3DfHTK1WY+bMmSgsLBSUimkbN2dGYvLkyfd9SAF3RxKuXLkiIBFjurd27dr7vnyYm5tjw4YNghIxplsXLlyAQqG47/Hi4mIsWrRIQCKmC9ycGYG9e/ciKirqgSNkMpmMFwUwo5SYmIjLly/f93hVVRU2b96MiooKAakY062EhIQHNmdKpRJff/01MjIyBKRi2sbNmYFTq9WYMmXKA4sV4BWbzHiFhYXB3Nz8gb8rLi5GeHi4nhMxpnvnzp176OR/IsIXX3yh50RMF7g5M3C//fYbEhMTHzoBurKyEvHx8XpOxZhuERHWrVv30PmUCoUC69ev13MqxnTvUe/nVVVV+P3333H+/Hk9JmK6wLdvMmClpaXw9PTE7du3H3kRwsaNGyM9PV2PyRjTrejoaHTs2PGR21haWiInJwd2dnZ6SsWYbuXm5j72VmQKhQKhoaGIiIjQUyqmA7E8cmbArl69iry8PBAR5HI5LC0tH3hvzIyMDJSWlgpIyJhubNy4ERYWFo/cpqqqCn///beeEjGmew+boqJQKDT1UH0JperrXTLDxM2ZAQsICEBxcTHi4uKwYcMGTJkyBS4uLnBycqoxB42IHjhxmjFDtWPHjsdedFOtVmPXrl16SsSY7l26dKnGzxYWFnBwcNDcU3b79u24cuUKbt269cDV+8xw8GlNI+Pi4oLZs2djzJgxSEpKwqVLl5Ceno5x48bx6R1mNGJjY3H9+nXNz3FxcZg3bx7WrFkDGxsbzeNBQUFo1qyZiIiMaV1KSgq2b9+OZs2awd/fH56ennjrrbeQn5/PX0SMSyw3Z0YkOzsb9erVQ2RkJLp37y46DmN6Ex4ejj59+iA/Px+Ojo6i4zCmN/Pnz8eqVauQmpoqOgrTHp5zZkwSEhIAAH5+foKTMMYY0wd/f3+kpaWhuLhYdBSmRdycGZGEhAQ4Ozujbt26oqMwxhjTAz8/PxARkpKSREdhWsTNmRFJTEyEv7+/6BiMMcb0pEmTJrC2ttacOWHGgZszI5KQkMDNGWOMmRCFQgEfHx8kJiaKjsK0iJszI3Lp0iWeb8YYYybG39+fR86MDDdnRiI7Oxs5OTk8csYYYybGz8+PR86MDDdnRoJXajLGmGniFZvGh5szI8ErNRljzDTxik3jw82ZkeCVmowxZpp4xabx4ebMSPBKTcYYM028YtP4cHNmJHilJmOMmS5esWlcuDkzArxSkzHGTJtfwQt+AAAgAElEQVSfnx83Z0aEmzMjwCs1GWPMtPn7+yM9PZ1XbBoJbs6MAK/UZIwx0+bv788rNo0IN2dGgFdqMsaYaeMVm8aFmzMjwCs1GWPMtMnlcl6xaUS4OTMCvFKTMcYYr9g0HtycGTheqckYYwzgFZvGhJszA8crNRljjAG8YtOYcHNm4HilJmOMMYBXbBoTbs4MHK/UZIwxBvCKTWPCzZmB45WajDHGAF6xaUy4OTNwvFKTMcZYNV6xaRy4OTNgvFKTMcbYvXjFpnHg5syA8UpNxhhj96pesVlUVCQ6CnsO3JwZMF6pyRhj7F68YtM4cHNmwHilJmOMsXtVr9jkRQGGjZszA8YrNRljjN1LLpfD19eX550ZOG7ODBiv1GSMMfa//Pz8eOTMwHFzZqB4pSZjjLEH4ctpGD5uzgwUr9RkjDH2IH5+frxi08DJiIhEh9Cm6dOnIyUlRXQMncvPz0dqaipat24tOopW9O3bF++8847oGEbPWOujsLAQV65cQVBQEBQKheg4Wsf1oR/GUh+lpaVISkqCv78/LC0tRcfROSOsj1ija85q1aqFpk2bokmTJqKjsCd0+vRpNGvWDOHh4aKjGD2uD8PD9aE/XB+Gx0jrI9ZMdAJdGDt2LN5//33RMdgTev/993H9+nXRMUwG14dh4frQL64Pw2Ks9cFzzhhjjDHGJISbM8YYY4wxCeHmjDHGGGNMQrg5Y4wxxhiTEG7OGGOMMcYkhJszxhhjjDEJ4eaMMcYYY0xCuDljjDHGGJMQbs4YY4wxxiSEmzPGGGOMMQnh5owxxhhjTEK4OWOMMcYYkxBuzhhjjDHGJISbM8YYY4wxCeHmTIfy8/O1sg1jxojrg7GH4/owbdyc3SM5ORmLFy9GcXEx3N3dsXfv3qfeR3l5OebNm4cOHTrA2dn5mbd5kM6dO2Pnzp0AgN27dyMkJKTG77OysrB69WoMGTIEHTp0qPG7Z31NRIRff/0VgwcPxowZMzB69Ghs2LBB83ulUolp06YhMzPzqfbLDA/Xx4M9ar9cH6aD6+N+RIRVq1YhKCgIdnZ2CAwMxOrVq0FEALg+HomMjKOjI/3yyy9P/eeioqJo6NChVFFRQeXl5SSXy+nPP/98pgylpaXk5OREj/rrfZJt/le9evUoMTGRiIiWLl1KI0aMuG+b9PR0AkA+Pj41Hn/W1/Tll1+Su7s73blzh4iI7ty5Q+7u7vTdd99ptsnNzaUBAwbQ1atXn2rf1UaPHk29evV6pj/Lng7Xh3br43H7JeL6MCRcH9qtj2nTptHw4cNp+fLlNHHiRLKysiIA9P3332u24fp4oBM8cgYgMTERo0aNwrJly2BhYQFLS0s0adIEPj4+z7Q/a2truLq6Pvc29youLkZ2djY8PT0BAFevXoWXl9d92zVu3PiBf/5ZXtP169cxd+5cjB07Fk5OTgAAJycnvP/++/j888+Rk5MDAKhduzZmz56N/v37o7i4+In3zwwD18fjPWy/ANeHseP6eLCMjAxkZGQgLCwM48ePx9KlS7F9+3YAwNKlSzXbcX08mMk3Z2q1GiNGjMA777xTY4jYz88PTZs2FZispqtXr8LNzQ1WVlYAgNTU1AcW16M87WsKCwuDUqlEjx49ajweGhqKsrIy/Prrr5rHAgMD4eXlhSlTpjxVJiZtXB/awfVhnLg+Hi49PR1Lliyp8VivXr1Qp04d3Lp1q8bjXB/3MxMdQLQdO3bg3LlzWLFiRY3Hx48frzmQk5OTMX36dHh5eeHGjRtIS0vDihUr0LJlSwBAaWkpZs6cieLiYri6ukKlUqGkpKTG/p5kmwdZvnw5PvroI83PMplM8/+7du3CqFGjcPv2bdSpU+ex+7r3NT2JY8eOAQDc3NxqPN6oUSMAQFxcXI3He/fujYkTJ+LTTz996sJn0sT1oT1cH8aH6+PhOnXq9MDHKysr0blz5/se5/r4H6JPrGrb084ZePPNNwkAVVZWPnSbpk2bUpMmTYiIqLKykhwdHcnf35+IiKqqqig4OJhGjx5NarWaiIhSUlJIoVBo5gM8yTYPU1VVRWVlZTRz5kz68MMPqaysjIqKisjc3JyysrKorKxMs89qeMjcl6cVGBhIAKi0tLTG4yUlJQSA2rdvX+Pxs2fPEgCaP3/+Uz2Pkc4ZkCSuD+3Vx/963H65PqSP60N39UFEdOzYMbKysqIzZ87c9zuujxp4zllMTAwcHR1hbm7+0G0+/PBDfPXVVwAAhUIBZ2dnXL58GQDw008/4eTJk/jkk08030q8vLzQpEkTzZ9/km0exszMDFZWVkhKSkJQUBCsrKyQmZmJOnXqoEGDBrCysqrxbUibHBwcAOC+/Vf/XFlZWePxunXrAgCOHj2qkzxM/7g+tIfrw/hwfTw5pVKJ6dOnY/Xq1WjduvV9v+f6qMnkT2vevHkT9evXf+Q2n3zyCYqLi7FixQrcuXMHFRUVUCqVAICIiAgAgIeHR40/I5f/t+99km0AwNfX977nrlOnDnJycpCeno6YmBh88803KCkpwZ07d+Dr64sBAwbgP//5zxO91qfl6+uLo0ePIj8/H/Xq1dM8npeXBwBo0KBBje1r1aoFAMjOztZJHqZ/XB/aw/VhfLg+ntyXX36JHj16YOjQoQ/8PddHTSbfnCkUCqhUqkduc/LkSbzxxhv44YcfMH78eKxfv17zu6ysLABAbm7ufXOznmYbAEhKSnrg46WlpbC3t0dycjJsbGwwa9YslJaW3jfZUtv8/f0BADdu3KjRnP3zzz8A7p9TIJURCqY9XB/aw/VhfLg+nszOnTtha2uLzz777KHbcH3UZPKnNevXr//YqyyPGjUKVVVV6Nu3L4C7K3SAuxfYq/62snv37of++SfZ5lFSUlLg5uYGGxsbzc/6WAk0cuRIODo6IioqqsbjkZGRMDc3x7Bhw2o8Xj2idm8jxwwb14f2cH0YH66Px4uIiEBmZuZ9jVl0dHSNn7k+ajL55qxr164oKipCUVHRQ7f5559/kJWVhYiICKxfv15TjCdPnsSbb74JhUKB6dOnY9++fSgtLUVkZCRu3LgBALh27RqmTJny2G0eJTk5ucb1ZR5VXKWlpQDw2G9zixcvhp+fHzZu3PjQbWrXro3PP/8cP/30k+bvp7CwEL/88gtmzpypWbVZrfq6Zw9bpcMMD9fHw+vjaffL9WF8uD4eXR8HDhzAggULoFKpsHz5cixfvhzLli3D5MmTsWfPnhrbcn3UZPLN2ahRowDcndj5MPPnz4eDgwNmzpwJLy8vzJgxA7Vq1cL8+fMREhKCyMhI+Pr6YvDgwWjRogVOnjyJoKAgjB07FqmpqQgICHjsNo8qhgcV14OWGkdFReHjjz8GAKSlpWHRokU4f/78A/eZmpqKpKQkfPrpp4/8+5k6dSo+++wzjBs3DjNmzMB7772HKVOmYNasWfdte/z4ccjlcgwZMuSR+2SGg+vj0fXxNPvl+jA+XB8Pr4/o6Gj0798fUVFR+OijjzT/TZw4Ed999x3eeeedGttzffwPwctFte5Zbr/Rt29fmjRpko4SSVdSUhIFBwdrbX/9+vWj0aNHP/WfM9Kl0JLE9fHkuD5MD9fHk+P60Cm+lAYA/Pbbb9izZw9u3rwpOorelJSUYNmyZVi1apVW9nfixAkkJydLbhI2e35cH8+P68N4cX08P66P+3FzhrvXV/nrr78wefLkJ7rqsjFITU3F/PnzERAQ8Nz7unHjBubNm4cDBw5oro3GjAfXx/Ph+jBuXB/Ph+vjwbg5+38BAQGYN2/efbfhMFYBAQFaKYSqqiqsXbsW69evv2+BADMeXB/PhuvDNHB9PBuuj4cz+euc3atJkyaYOnWq6BgGxdzc/JHXrmHGg+vj6XF9mA6uj6fH9fFwPHLGGGOMMSYh3JwxxhhjjEkIN2eMMcYYYxLCzRljjDHGmIRwc8YYY4wxJiHcnDHGGGOMSQg3Z4wxxhhjEsLNGWOMMcaYhHBzxhhjjDEmIdycMcYYY4xJCDdnjDHGGGMSws0ZY4wxxpiEcHPGGGOMMSYhMiIi0SG0qVatWmjatCmaNGkiOorW5OTkoLy8HG5ubqKj6MTp06fRrFkzhIeHi45i9IyxPgCgsrISV69eha+vL2Qymeg4WsX1oT/GWh/VkpOT4ebmBhsbG9FRtMZI6yNWMWfOnDmiU2hTaWkpVCqV6BhadfToUWRmZsLHx0d0FJ1o0KABBg8ejMDAQNFRjJ4x1gcApKSk4MKFC3B1dYWtra3oOFrF9aE/xlofwN3XdvToUSiVSjRo0EB0HK0x0vrIMrqRM2Nz9OhRdOnSBQAQFxeHli1bCk7EmPT4+/sjMTERY8eOxU8//SQ6DmOS88svv2Ds2LGwtLTEP//8AycnJ9GR2MPF8pwziVuxYgXMzc1hbm6OPXv2iI7DmORcunQJiYmJAICNGzeiqqpKcCLGpGfXrl2Qy+VQKpVYu3at6DjsMbg5k7Dbt29j69atqKqqglKpxM6dO0VHYkxyNmzYAHNzcwBAYWEhIiIiBCdiTFoqKytx4MABqNVqqFQqfPvtt+CTZtLGzZmE/fzzz5oCIiLExsYiPz9fcCrGpGXdunWa0TJzc3OsX79ecCLGpOXYsWMoKyvT/Jyeno6DBw8KTMQeh5sziVKpVPjxxx+hVCo1j6nVai4oxu4RGxuL9PR0zc9VVVXYtm0bSkpKBKZiTFr27t0LCwsLzc9mZmZYtmyZwETscbg5k6gdO3bgxo0bNR4zMzPjeWeM3WPjxo01PnSAu6dweAoAY/+1fft2VFZWan5WKpXYtWtXjS82TFq4OZOoZcuWwczMrMZjVVVV2LFjB88VYAx3R5I3bNhQ40MHAGQyGcLCwgSlYkxaMjIykJKSct/jCoUCq1atEpCIPQluziToypUrOHToUI1TmtVycnIQHx8vIBVj0hIZGYnbt2/f97hKpcK+ffuQm5srIBVj0rJ7924oFIr7Hq+qqsKKFStQUVEhIBV7HG7OJGjFihX3jZpV40tqMHbXhg0b7julea+tW7fqMQ1j0rRr166H/q6goIDrRKL4IrQSU1painr16qGoqOiBv5fJZGjXrh1iYmL0nIwx6aisrESdOnUeWidyuRwhISE4evSonpMxJh2VlZWoVatWjZWa91IoFGjbti1/nkgPX4RWasLCwh650oyIcOrUKb6kBjNpe/bsQXFx8UN/r1arcfz4cWRlZekxFWPScuTIkYc2ZsDdKQAnTpzAuXPn9JiKPQluziRm2bJlj53wr1arsX//fj0lYkx6NmzYALn88W9fmzdv1kMaxqRp7969mgs0P4xMJsPPP/+sp0TsSXFzJjEeHh5o0qQJXFxcYG1t/cBtiAhHjhzRczLGpOPs2bOPvUE1EfGIADNpUVFRD72dmZ2dHerVq4dmzZqhdu3aek7GHofnnEnc8uXL8e9//xuxsbEoLCxEQUEBCgsLERQUBDc3N9HxGBOioqICpaWlmp8jIyMxaNAgpKWlwcHBQfO4vb39QxfXMGbs4uLicOPGDTg6OsLBwQH5+fno3Lkzzpw5g9atW4uOxx4ult+1JK6wsBCOjo7w9PQUHYUxybC0tISlpaXmZzs7OwBArVq14OjoKCoWY5ISGBiIwMBAzc85OTkA7q7SZNLGpzUlrro5Y4wxxp5H9WdJYWGh4CTscbg5k7iCggJuzhhjjD03c3NzWFtb88iZAeDmTOK4OWOMMaYtjo6O3JwZAG7OJK6wsLDGBGfGGGPsWTk4OHBzZgC4OZM4HjljjDGmLY6OjjznzABwcyZx3JwxxhjTFj6taRi4OZO4goICPq3JGGNMK7g5MwzcnEkcX0qDMcaYtjg4OPBpTQPAzZmEERGKioq4OWOMMaYVPHJmGLg5k7Di4mKoVCpuzhhjjGkFN2eGgZszCasuIJ5zxhhjTBv4UhqGgZszCasuIB45Y4wxpg18KQ3DwM2ZhFUXEDdnjDHGtMHR0RFFRUVQq9Wio7BH4OZMwnjkjDHGmDY5OjpqFpsx6eLmTMIKCgogl8tha2srOgpjjDEjUD2HmeedSRs3ZxJWfV9NmUwmOgpjjDEjUH0mhuedSRs3ZxLGt25ijDGmTdWfKTxyJm3cnEkYN2eMMca0iZszw8DNmYTxrZsYY4xpk42NDczNzbk5kzhuziSMb3rOGGNM2+zt7XnOmcRxcyZhfFqTMcaYtvEtnKSPmzMJ4+aMMcaYtnFzJn3cnEkYzzljjDGmbXwLJ+nj5kzCeM4ZY4wxbeObn0sfN2cSxqc1GWOMaRuf1pQ+bs4kjE9rMsYY0zZuzqSPmzOJKi8vR0VFBZ/WZIwxplU850z6uDmTqOrC4ZEzxhhj2sRzzqSPmzOJqi4cbs4YY4xpE5/WlD5uziSqunD4tCZjjDFt4pEz6ePmTKJ45IwxxpguODo6QqlUorS0VHQU9hBmogMYq6qqKmRkZCAjIwO3bt1CTk4OcnNzkZubi+LiYk3zVV5ejrKyMgCApaUlbGxsANxtziwtLfH999/DxcUFzs7OqFu3Ltzc3NC4cWNYWloKe22M6Ut2djbS0tKQnZ2tqZ/bt28jPz8fRUVFUCqVUKvVuHbtGszNzfH666/D2dkZAGBlZQVbW1s4Oztr/qtTpw4aNmwIDw8P/uLDTEJxcTHS0tKQkZGhqaG4uDhYWlrinXfeAREBgKaegLv33jQzM4NcLoejoyMcHBzg7Oys+SxycXGBp6cn6tevD5lMJvLlGS0ZVf/LsGdy584dxMfHIz4+HhcuXEBycjLS0tKQlZUFlUql2a5OnTqaDwgHBwfY29sDqNmQ3duolZSUoLCwELm5uZrGTq1WAwBkMhkaNGgADw8PNGvWDC1atEBgYCACAgJQt25dPf8NMPZ8KisrkZCQgAsXLiA+Ph6XLl1CWloarl27pqkHALCzs9N8MNSqVQuOjo6Qy+WaDxAAUKvVmi8+lZWVKCoqqvHFqLy8XLM/JycneHh4wNPTE/7+/mjZsiVatmyJpk2bQi7nkwrMcBAR0tLSNJ9FFy9eRGpqKtLS0pCTk6PZzsLCosYXFQcHB80X/eqGDKjZqOXl5aGwsBA5OTm4ffs2ioqKNPuztLSEu7s7PDw84Ovri4CAAAQGBsLf31/zucaeSSw3Z0+hqqoKZ86cQUxMDI4fP47Y2FhkZmYCAJydnREYGAhvb294eHho/nN3d4erq6tW3uxv3bqFjIwMpKWlaf67fPkyLly4gJs3bwIA6tati+DgYISEhKBjx45o27YtrKysnvu5GdOWq1ev4vjx44iOjkZ0dDQuXboEpVIJS0tL+Pv7w8/PD02aNKlRR/Xr19fKcVxSUoLr16/XqKHU1FRcuHABKSkpUKlUsLGxQVBQkKaGQkJC4OrqqoVXzph25OXlITo6GjExMTh27BjOnTuHwsJCyGQyeHp6omXLlvDy8tLUj6enJxo1aqSVOcyVlZWaEe1r167h2rVrSEtLQ2JiIhISElBSUgKFQoFmzZqhffv2mhpq3rw5j7I9OW7OHic+Ph779u1DeHg4YmJiUFZWBhcXF4SEhKB9+/YICgpCQEAAGjZsKDTn7du3ERcXh/j4eJw4cQLHjx/HjRs3YGFhgbZt26J3797o06cP2rRpw6MCTK+ys7MRHh6Offv2ISoqCjdv3oSVlRXatGmDkJAQtGnTBgEBAfD29tZ8cxehrKwMCQkJiI+Px+nTp3Hs2DEkJCRArVbD29sbPXv2RJ8+fRAaGgpbW1thOZnpKS8vx9GjRzWfRYmJiQAAHx8fhISEoF27dggICECLFi00Z2VEUKvVSE1NRVxcHM6fP4/jx4/j5MmTKCkpQe3atdGtWzf06dMHffr0QaNGjYTlNADcnP2vqqoqHDhwAFu3bsXevXuRlZUFV1dX9O7dG6GhoejQoQN8fHxEx3wiaWlpOH78OA4dOoR9+/YhMzMTLi4u6N27NwYMGIC+ffvC2tpadExmhC5evIg//vgDu3fvxrlz52Bubo7OnTujV69e6NixI9q0aWMQ8yYLCgo0oxP79u2r8VpeeeUVDBo0CA0aNBAdkxmhnJwcbN26FTt27EBUVBRKS0vRokUL9OnTB126dEGHDh1Qp04d0TEfS6lU4vz584iOjsb+/fsRGRmpeS19+/bF4MGD0bZtW9ExpYabMwBQqVQ4ePAgtmzZgm3btiEvLw9t27ZFv3790LdvX7Ru3dooRpuqRwH37NmDo0ePwtbWFv3798eQIUPQu3dvg/iwZNKVlJSEzZs3Y8uWLUhMTISbmxteeeUV9O3b12hGm6pHAffu3Ys9e/aguLgYnTp1wpAhQzBo0CCe88meS15eHrZt24YtW7bg4MGDMDc3R58+fdC3b1+jGW2qHgXcu3cvduzYgatXr8LT0xNvvPEGhgwZglatWomOKAWxIBOWmZlJCxYsIHd3dwJAfn5+NHv2bLpy5YroaDqXk5NDv//+O/Xr148UCgXVqlWLxowZQ3FxcaKjMQNSVlZGW7ZsoZ49exIAqlOnDo0cOZL2799PKpVKdDydKi8vpx07dtDIkSPJwcGBFAoF9ezZk7Zs2UJVVVWi4zEDcvr0aRozZgzZ2NiQpaUl9evXj37//XcqLCwUHU3nLl68SLNnz6ZmzZoRAGrevDktWLCAcnJyREcT6YTJNWcqlYq2bdtGvXv3JrlcTvXr16fp06ebREP2MBkZGfTVV1+Rp6cnAaDOnTtTWFgYVVZWio7GJOrixYv04YcfkqOjI1laWtKbb75JBw4cMPqG7GFKS0tp/fr11K1bN5LJZNS4cWOaM2cO3bx5U3Q0JlF5eXn09ddfk7e3NwGg4OBgWrlyJRUUFIiOJoRarabo6Gh69913ydbWlqytrWnUqFEUGxsrOpoIptOclZSU0IoVK6hp06Ykl8upb9++tG3bNv6Gew+VSkXh4eE0ePBgMjc3Jzc3N1q4cCHl5eWJjsYkYv/+/dS3b1+SyWTk4+NDS5Ysodu3b4uOJSnJyck0depUcnV1JUtLS3rvvfcoISFBdCwmEampqTRp0iSys7MjR0dHGj9+PJ0/f150LEkpKCign376iVq3bk0AqFOnTrRt2zZT+vJn/M3ZnTt3aNasWeTs7EzW1tY0duxYSkpKEh1L8q5fv07/+te/yMHBgezt7Wny5Mn0zz//iI7FBFCpVLRp0yYKDAwkANS9e3fauXMnqdVq0dEkraysjH7++Wfy9fUlmUxGL730EkVHR4uOxQSJj4+nwYMHk0KhIHd3d1qyZInJjpI9jUOHDtErr7xCcrmcmjVrRitXrjSFszrG25wVFhbSv//9b6pVqxbVrl2b5syZQ7du3RIdy+AUFBTQ4sWLqUGDBmRjY0NTpkzhkRIToVaraevWrRQQEEByuZzefPNNOnPmjOhYBkelUtGOHTuoY8eOBIBeeuklOnXqlOhYTE8uXbpEb7zxBsnlcgoKCqKNGzfyGZtncOnSJXr//ffJwsKCmjRpQmvWrCGlUik6lq4YX3NWXl5OX3/9NdWpU4ccHR1pzpw5/O1EC0pLS2nJkiXk6upK9vb2NGvWLCoqKhIdi+lIREQEtWnThmQyGQ0ePJhPy2lJeHg4BQcHk0wmo9dee40uXbokOhLTkfT0dBo1ahQpFAry9/enP//8k0ebteDatWv07rvvkpmZGfn4+NAff/whOpIuGFdztnXrVvLy8iIbGxuaPn063blzR3Qko1NcXEz/+c9/qFatWlS/fn1as2aNKc0DMHrJycn0yiuvEADq168fz4XRkR07dlDLli3J3NycJk2axO9VRqS4uJi++OILsrGxoaZNm9L69ev5PVIHkpOTadiwYSSTyahLly509uxZ0ZG0yTias/j4eAoNDSWZTEbDhg2j69evi45k9G7fvk0ffPABKRQKatu2Lc+lMXAFBQX0r3/9iywsLKhFixa0f/9+0ZGMnlKppJ9//plcXFyoTp069MMPPxjzaRqjp1arKSwsjNzc3MjR0ZEWLVpEFRUVomMZvdjYWGrfvj3J5XIaPXo0ZWdni46kDYbdnJWVldGMGTPI3NycGwRB4uLiKDQ0lORyOY0fP55PIRugHTt2kJubGzk7O9OKFSt4Poye5efn07/+9S8yNzendu3aUXx8vOhI7CldvXqVXnzxRZLL5fT+++8bS4NgMO5tjJ2dnen3338XHel5GW5zduzYMWrevDnZ2NjQggUL+BunYFu2bCEXFxeqX78+/fXXX6LjsCeQnZ1NI0eOJAA0ePBgXjAj2IULF6h9+/ZkZmZG06ZNo7KyMtGR2GOoVCr6+eefyc7Ojvz9/SkmJkZ0JJNWUlJC06ZNI4VCQV27dqXLly+LjvSsDK85Kysro4kTJ5JMJqOXX36Z0tPTRUdi/+/WrVs0fPhwAkAjRoyg/Px80ZHYQ2zZsoVq165N7u7utHfvXtFx2P9TqVS0dOlSsrOzo+bNmxvbPBqjkpycTO3atSNLS0v68ssv+RSmhERHR5Ofnx/Z2trSjz/+KDrOszCs5iwuLo5atGhBjo6OtG7dOtFx2EPs2rWL6tatSx4eHnT06FHRcdg9CgsL6e233yYA9MEHH/CKW4lKS0ujbt26kYWFBS1atIgnlEvMqlWryM7Ojlq3bs0rmSWqoqKCpk+fTgqFgvr3729oZwYMozlTq9X07bffkpWVFXXq1InS0tJER2KPkZ2drblv56xZs3gekwScOHGCvLy8yMXFhf7++2/RcdhjqFQq+s9//kPm5uYUGhpKmZmZoiOZvNzcXBo4cCDJ5XKaOnUqj5YZgMOHD5O7uzvVq1eP9u3bJzrOk5J+c1ZQUECvv/46mZmZ0dy5c3lumQFRq9W0YsUKsra2pu7du/MkWYGWL19OFhYW1Lt3b77Tg4E5deoUeXt7k6urK0VFRYmOY7LOnj1Lnp6e5ObmRgcPHhQdhz2FvLw8eobWeyYAACAASURBVPPNN0kul9OcOXMMYSRa2s3Z5cuXyc/Pj1xcXOjAgQOi47BndP78eWrSpAk1bNiQJ8zqWVlZGb377rskk8lo2rRphvCmxB6gqKhIc+ufBQsW8MVM9SwsLIxsbGyoS5cufDN7A/bzzz+ThYUF9e3bV+rXFpRuc7Z161ayt7enDh068HC+EcjNzaU+ffqQpaUlrVy5UnQck5CWlkZBQUHk5OREe/bsER2HPSe1Wk0LFy4khUJBb7zxBpWUlIiOZPSqqqpo3LhxJJPJaMqUKXzmxghER0dTw4YNycvLiy5cuCA6zsNIszlbvHgxyeVyGjt2LJ/TNyIqlYpmzJhBMpmMpk6dyt/+dejUqVNUr149CggIoKtXr4qOw7TowIEDVLt2bWrXrh1PFdChgoIC6t27N9na2hrrLYJM1s2bN6lTp07k6Ogo1QtuS6s5UyqVNGHCBJLJZDR79mzRcZiObN68maysrGjgwIFUWloqOo7R2bdvH9nb21PPnj35ciZGKiUlhXx8fMjT05MSExNFxzE6WVlZ1KpVK6pXrx7fpN5IVVRU0IgRI8jMzEyKl9uQTnNWWlpK/fr1I2tra76IqQmIjIwkJycn6tixo9TP/RuUH374gRQKBb3//vu8QtbI3bp1izp06EBOTk58yRotio+Pp4YNG5K/vz9fGcDIqdVqzdmcL774QnSce0mjOSsqKqJu3bqRs7MzTxg3IYmJidSoUSMKDAzk0zNasHDhQpLJZPTVV1+JjsL0pLS0lAYMGEA2NjYUHh4uOo7BO3XqFDk7O1O3bt0oLy9PdBymJytXriSFQkGTJk2SynQb8c1ZXl4edejQgerWrUtxcXGi4zA9S09Pp2bNmpGPjw9lZGSIjmOwFixYQDKZjL799lvRUZieKZVKevvtt8nCwoLPOjyHo0ePkqOjI/Xp04enW5ig7du3k6WlJY0YMUIKZx3ENmc5OTnUqlUratSokSHfA4s9p6ysLPLz8yNPT0+6du2a6DgG59NPPyWFQkG//vqr6ChMEJVKRWPHjiUzMzPauHGj6DgG5+DBg2Rra0sDBgzgRWgmbOfOnWRlZUVDhw4VvTJXXHOWn59Pbdq0IQ8PD/5AZnTr1i0KDAwkLy8vysrKEh3HYFTfnmTDhg2iozDB1Go1ffzxx2RmZkbbtm0THcdgHDt2jGxtbWno0KFSGDFhgh04cICsra3prbfeEnldSDHNWUlJCXXp0oUaNmzIy/yZxq1bt8jPz4+8vb35Qo9PYMmSJSSTyfi6cUxDrVbThx9+SBYWFrR7927RcSTv3Llz5OTkRK+99ho3ZkwjIiKCLC0tady4caIi6L85Kysrox49epCrqytdunRJ30/PJC4zM5OaNGlCrVq14gm5j/Ddd9+RTCajH374QXQUJjEqlYpGjRpFNjY2dOTIEdFxJCs+Pp6cnZ2pT58+fCqT3eevv/4iMzMzmjp1qoinPyEjIoKeqNVqDB06FPv370dUVBQCAwP19dTMgFy7dg2dO3eGt7c39u3bBwsLC9GRJGXz5s0YOnQoFi1ahE8//VR0HCZBKpUKb7zxBg4ePIjjx4/Dz89PdCRJyczMRPv27dG0aVPs3bsX1tbWoiMxCQoLC8Nbb72Fb775BpMmTdLnU8fqtTmbNm0avv32W+zduxc9evTQ19MyA5SQkIBOnTqhT58+2LBhA2QymehIknDy5El0794dY8aMwbfffis6DpOwyspK9OnTB9euXUNMTAzq1asnOpIkFBUVoUuXLqioqMDx48fh5OQkOhKTsEWLFuHzzz/HH3/8gddff11fT6u/5mzVqlUYM2YM1qxZg1GjRunjKZmBCw8PR79+/TBjxgzMmTNHdBzhUlNT0aFDB7Rt2xZ///03FAqF6EhM4nJzcxESEgJ7e3scPnwYtra2oiMJpVKpMGDAAJw4cQIxMTHw8vISHYkZgAkTJmD16tU4ePAgOnTooI+n1E9zduDAAfTt2xczZ87E7Nmzdf10zIisXLkSY8eORVhYGIYNGyY6jjD5+fkIDg5GrVq1cOjQIdjY2IiOxAxESkoKOnTogC5duuDPP/806VHoCRMmYM2aNTh06BBeeOEF0XGYgVAqlejfvz/Onj2L06dPw83NTddPqfvm7Pr162jTpg169OiBjRs3mvQbA3s2kydPxi+//IKYmBi0bNlSdBy9IyK8+uqrOH36NM6cOYP69euLjsQMzOHDh9GzZ0/MnTsXn332meg4QqxduxZvv/02Nm/ejMGDB4uOwwxMUVER2rVrB0dHRxw+fFjXc6F125xVVFSgc+fOKCoqQmxsLBwcHHT1VMyIKZVK9OzZE+np6Th9+jScnZ1FR9KruXPnYu7cuTh48CA6d+4sOg4zUN9++y0+/fRT7N69G3369BEdR6/i4uIQEhKCCRMmYOHChaLjMAOVnJyM4OBgDB06FD/++KMun0q3zdn777+PP/74AydPnoS3t7eunoaZgJs3b6JNmzZo3bo1duzYYTIjsOHh4XjppZewdOlSTJgwQXQcZuCGDh2KAwcO4MyZM2jcuLHoOHpx584dvPDCC/D09ER4eDjMzMxER2IG7K+//sLgwYPx22+/4a233tLV0+iuOate7r9t2za8+uqrungKZmKio6PRtWtXfP311/j4449Fx9G57OxstGzZEi+++CLCwsJEx2FGoKSkBMHBwXB2dkZUVJRJLCoZNGgQTpw4gXPnzsHFxUV0HGYEpk6dih9++AFnz57V1cCTbpqzzMxMBAYGYujQoVi+fLm2d89M2Ny5czFv3jzExsYa9XXyiAj9+/dHQkICzp8/z1MCmNYkJCTghRdewMyZMzFjxgzRcXTq119/xZgxYxAREcGXb2Jao1Qq0alTJ1RVVSEmJkYX88+035yp1Wr07NkTN2/exOnTp3lVGdMqtVqNHj164NatWzh9+rTRXjxy2bJl+OSTT3DkyBF9Ld1mJuSbb77BtGnTcPToUbRv3150HJ1ITU1FUFAQPvjgAyxatEh0HGZkUlJS0Pr/2LvzsKqq/X/gbw4gyKyg4giIioKAKKiI5YiiZTkkZuZQDuWY1yH1dksbrG5ek0qzrpo5K2ZeNRNxViYZlFkRZHBWQGQWDud8fn/4g2+GKMPZZ3HO+byex+dJOGetd3gW+7P3Xnutnj0xb948fPnll6puXvXF2TfffINPPvkE4eHh8PDwUGXTjAEAsrKy4O7ujmnTpiEgIEB0HJW7cuUKevXqhQ8//JDXd2OSIKKqBWpjY2O17iRaoVCgf//+KCsrQ0REBO8ywiSxadMmvP/++zh79qyqH9ZSbXGWmpoKd3d3fPzxx1ixYoWqmmWsml9//RXTp09HaGioVp35K5XKqtXLw8PDefIyk8ydO3fg7OyMmTNnYs2aNaLjqNS6deuwfPlyXLp0CS4uLqLjMC326quvIi0tDbGxsTA2NlZVs6orzogIvr6+yM7ORnR0NAwNDVXRLGM1Gj58OG7cuIHY2FgYGRmJjqMSGzZswMKFC3Hx4kX07NlTdBym5X7++WfMnTsXFy9eRK9evUTHUYmsrCx0794dS5Ys4UXPmeRu3LiB7t27Y8GCBfjiiy9U1azqirP//ve/mDNnDiIiInjlZaYWmZmZcHV1xdKlS/HJJ5+IjtNglVcy5s6di9WrV4uOw3QAEWHo0KHIycnRmpNqbTxpY41b5RzhyMhIVU3nUk1xlp2djS5dumD69On4z3/+o4pgjNXK2rVr8dFHHyExMRGdOnUSHadBxowZg+TkZMTFxany8jhjz5WSkoIePXpg9erVWLRokeg4DbJ7925MnjwZISEh/CANUxulUon+/fuDiBAWFqaKdThVU5y99957OHr0KK5evQozM7OGNsdYrSkUCnh4eMDBwQGHDh0SHafeTp8+jSFDhuDYsWM6t3o7E+/jjz/Gd999h2vXrsHW1lZ0nHopLS1F165dMWzYMGzatEl0HKZjYmNj4enpiV9//RVvv/12Q5treHGWlJSEHj164JdffsHkyZMbGoixOqssbIKCgjB8+HDRcepMoVCgZ8+e6NChA44cOSI6DtNBJSUl6NatG/z8/PDzzz+LjlMvK1euxLp165CSksL7zzIhZs2ahT///BMpKSkwNTVtSFMNL86GDRuGhw8fIjIyEjKZrCFNMVZvr7/+OtLS0hAXF6dxTzhu3LgRH3zwARISEuDk5CQ6DtNRO3bswLRp0xAZGalxDwfcunULXbt2xcqVK7F06VLRcZiOevDgAZycnDB//nx89tlnDWmqYcXZ0aNHMWrUKISGhvL9fSZUWloaXFxcsH79esycOVN0nForKiqCo6MjJk2ahG+//VZ0HKbDiAje3t6wsLBAcHCw6Dh1Mm3aNISEhCApKYkfAmBCrV27Fh9//DHS0tLQpk2b+jZT/+KMiNCnTx+0bdsWBw8erG8AxlRmzpw5OHr0KK5du6Yxv6C/+uorfPnll0hPT+d9/5hwlVMEzp49iwEDBoiOUyupqalwdnbGtm3b8NZbb4mOw3RcWVkZOnXqhNGjR+OHH36obzP1L84qd2a/fPmyVu9xyDTHnTt30KlTJ6xZswZz584VHeeF8vPz0bFjR8ydO7ehl8AZU5nBgwdDLpfjwoULoqPUysSJExEfH4+EhASeWsMahY0bN2LhwoVISUmBvb19fZqoX3GmVCrh4eGBrl27Yt++ffXpmDFJfPDBB9i/fz/S0tIa/ZY0q1atQkBAADIyMtCsWTPRcRgDAISGhqJ///44efJko98sPCkpCW5ubti3bx/eeOMN0XEYAwDI5XI4OTnB19e3vg/Y1K84O3DgAPz9/ZGYmIhu3brVp2PGJHHv3j04Ojri3//+N+bNmyc6To0KCwvRoUMHLFq0CB9//LHoOIw9xc/PD6WlpTh37pzoKM/15ptv4urVq7h8+bIq1pZiTGW2bNmC2bNn4/r162jfvn1d336xXteA165di9dff50LM9bo2NraYtq0afj2229RUVEhOk6NNm/eDLlcjjlz5oiOwlg1y5Ytw/nz5xERESE6So2ysrJw4MABLFu2jAsz1uhMmTIFtra2+P777+v1/joXZ2FhYQgPD8fixYvr1SFjUlu8eDFu3LiB//3vf6KjPJNCocD69esxY8YMWFtbi47DWDWDBg1C7969sW7dOtFRahQQEABbW1u+nckaJUNDQ8ydOxc///wz8vPz6/z+Ohdna9euhZeXF3x8fOrcGWPq0LFjR7z++uv45ptvREd5pt9++w1ZWVmYP3++6CiM1WjhwoU4cOAArl+/LjpKNQUFBdi6dSv+8Y9/aMV+oEw7zZ49GzKZDJs3b67ze+tUnGVmZuLQoUO8yB9r9BYvXoyoqCiEh4eLjlLNd999hzFjxsDR0VF0FMZqNH78eLRr1w4//vij6CjVbNmyBUSE6dOni47CWI0sLCzw7rvv4ocffoBCoajTe+tUnG3ZsgUtWrTA6NGj69QJY+rWr18/eHh41OuMRUoJCQkIDw/XiKU+mG4zMDDAzJkzsW3bNpSVlYmO85TNmzfj7bffhqWlpegojD3X3LlzcePGDZw4caJO76t1cVZRUYGtW7fi3Xff5cvITCNMnz4d+/btQ0FBgegoVTZt2gRHR0eNWeCT6bbp06ejoKCgUc3fPH/+PJKTkzFjxgzRURh7IUdHR7z88svYtGlTnd5X6+Ls6NGjuHPnDt555506h2NMhLfffhtEhD179oiOAgAoLS3Fzp07MWvWLH66jGkEW1tbjBgxos4HFilt2rQJXl5e8PDwEB2FsVqZOXMmDh8+jLt379b6PbUuzrZs2YKhQ4eiU6dO9QrHmLpZWlrijTfeaDS3Ng8cOIDi4mJMmzZNdBTGam3mzJk4ffo00tPTRUfBo0ePcODAAY3aP5excePGwcLCAjt27Kj1e2pVnOXl5eH48eOYOnVqvcMxJsKUKVMQHR2N1NRU0VGwe/du+Pn5oWXLlqKjMFZrI0aMQIsWLRrFbjAHDx6EUqmEv7+/6CiM1ZqxsTHGjx9fp7s4tSrOfv/9d8hkMowaNare4RgTYeDAgWjVqhUCAwOF5sjLy8OpU6f4oMI0jr6+PsaOHdsoirPAwECMGDGCHwRgGmfChAmIjY3FlStXavX6WhVnlQPCwsKiQeEYUzd9fX2MGzdO+IGFT3CYJvP390dcXFytDyxSyMvLw+nTp/kEh2mkAQMGoHXr1vjtt99q9foXFmc5OTk4c+YMxo8f3+BwjIng7++PhIQEoQeW/fv3w8/Pj09wmEZ6+eWXYWtri/379wvLcODAAejr6+PVV18VloGx+pLJZBg7dmyt7+K8sDg7duwYn/EzjfbSSy+hZcuWOHz4sJD+CwsLcebMGYwbN05I/4w1lL6+PsaMGSNsDAHA4cOHMWzYMJibmwvLwFhDjBs3DomJibV6uKZWxdlLL70EMzMzlYRjTN1kMhmGDx+OoKAgIf2fOnUKFRUVGDZsmJD+GVMFPz8/XL58Gffv31d73+Xl5Thz5gxGjBih9r4ZU5X+/fvD0tKyVsei5xZnSqUSJ0+ehJ+fn8rCMSaCn58fQkND67UBbUMFBQXB09OTn9JkGm3IkCEwNDREcHCw2vs+f/48ioqK+FjENJqhoSEGDRrU8OIsKioK2dnZfLbCNN6wYcOgVCpx+vRptfcdFBTEY4hpPFNTU/Tv31/IFeigoCA4OzvDzs5O7X0zpkp+fn44ffr0C7dEe25xduLECbRv3x7Ozs4qDceYutnY2MDT01PtZ/0pKSnIysrC8OHD1dovY1Lw8/PDiRMnQERq7ffEiRN81YxpBT8/PxQXFyMsLOy5r3tucXbhwgXeA5BpjZdffhkhISFq7TMkJAQmJibw9PRUa7+MSWHAgAHIzs5GSkqK2vp89OgREhMT+VjEtIKdnR3s7OxeeCyqsThTKpW4ePEi+vXrp/JwjIng4+ODpKQkPHz4UG19hoaGok+fPjA0NFRbn4xJxcPDA2ZmZggNDVVbn+Hh4SAieHt7q61PxqTk4+PzwjFUY3GWkJCA/Px8+Pj4qDwYYyJUfpYvXryotj5DQ0P5BIdpDQMDA3h6eqq1OAsNDUXnzp3RokULtfXJmJR8fHwQHh4OhUJR42tqLM7Cw8NhYWEBFxcXScIxpm42Njbo0qWL2g4sOTk5SE1N5eKMaZX+/fur/coZjyGmTXx8fFBQUIDExMQaX1NjcRYTE4NevXpBX19fknCMidC7d2/ExMSopa9Lly6BiODl5aWW/hhTBy8vL6SmpqKgoEDyvogIly5dQu/evSXvizF16d69O0xMTHDp0qUaX1NjcRYXFwd3d3dJgjEmiqurKxISEtTSV1xcHNq0acO3Y5hWcXNzAxE996xfVbKysvDo0SO4ublJ3hdj6qKvrw9nZ+fnHoueWZwpFAokJSXB1dVVsnCMieDq6orbt28jJydH8r4SEhL4oMK0jp2dHaysrBAfHy95X/Hx8dDT0+NjEdM6bm5uzx1DzyzO0tLSUFJSwgcWpnUqP9PqOOuPj4/nMcS0jp6e3gvP+lUlPj4e9vb2sLCwkLwvxtTJ1dUVcXFxNX7/mcVZUlISZDIZLz7LtE6bNm3QvHlzyYszhUKBq1evonv37pL2w5gIrq6uajnBSUpK4jHEtJKrqytycnLw4MGDZ37/mcXZ9evX0aZNG5iYmEgajjERHB0dkZGRIWkft27dQllZGRwdHSXthzER1DGGACA9PR2dOnWSvB/G1K3y2JCenv7M7z+zOMvKyoK9vb1koRgTycHBQfIDS2ZmZlVfjGkbBwcH3L59+4X7AzZUZmYmH4uYVmrXrh0MDQ2rjhV/98ziLDMzkw8qTGupqzgzNjaGra2tpP0wJoK9vT2USiVu3rwpWR8lJSXIzs7m4oxpJQMDA7Rr167GY9Ezi7OMjAweEExr2dvbq6U4s7Ozg56enqT9MCZC5cm7lOMoMzMTRMTHIqa1nncsemZxdvv2bbRr107SUIyJ0qFDB+Tn56OwsFCyPngMMW1mbW0NU1NT3Lp1S7I+bt++DQBo3769ZH0wJlKHDh1qHEPVijO5XI6CggJeOJNpLRsbGwBAbm6uZH3k5OSgZcuWkrXPmGg2NjaSrheYnZ0NQ0NDWFlZSdYHYyK1aNGixuNQteIsNzcXRFR1AGM1u3//PgIDA7F69eo6vzc/P1+CROrx6NEj0REaRF3FmbW1tWTtaxMeR5rJ2tpa0jGUm5uL5s2b89SAWuAxpJmsra1rPMGpVpxVvlAXDyx9+vTB0qVLa/XaK1eu4LPPPsOECROwY8eOWr2noqICX3/9Nfr3769xP9/Hjx9j9erV8Pb21rjsf1eZX8qz/tzcXI3/OdUXj6OaadM4srGxkbw409WLBDyGaqZNY+h5JzjVirOHDx9WvUmbPespIwcHBxgbG9fq/d26dcPatWvr1KeBgQE++OADJCcnQ6FQ1Om9ohkbG2PRokVISUmBUqkUHadBLCwsYGhoKOmB5eHDh1o/hgAeR3WlTeNI6tuaunKCw2OobrRtDBUUFEAul1f7nsHfv1BUVAQAMDc3lz6ZIBkZGZgyZQouXLjw1Nf37t1bp3ZqO3j+qmnTpmjZsiXy8vLq/F7RNDn7X+np6cHMzAzFxcWS9VFYWKjVYwjgcVRfmpz9r8zMzJCdnS1Z+0VFRTyGaonHkGYyMzMDEaGkpASWlpZPfa9acVa5qGCTJk3Uk07Nbt26hVdffVXjzhaYajVp0kTSBTTLy8u1dgwBPI4Yj6GG4jHEjIyMAOCZ46jabc3y8nLIZDIYGFSr29SCiBAeHo7FixfD3t4e9+7dw7hx49C8eXN0794dBw4cqHrttWvX8MYbb2DZsmWYPHkyXnrpJcTHx0OhUODs2bNYuHAh7O3tcfv2bQwYMAAdOnTAunXrkJycjHv37uH9998H8GQfxMDAQEydOhUvv/zyC9tXldTUVIwaNQrNmjWDl5cXzpw5AwDYuXMnTExMoKenh6+//hoVFRUAgF27dqFJkyb49ddfa91Hfn4+PvzwQyxfvhyLFi3CsGHDsGjRIuTl5T3355SXl4eSkhIsWrQIs2bNwr/+9S+sWLGi2tWm0tJS/Pvf/8b06dPh6emJoUOHIiEh4YVti2ZkZCTZgYWIIJfLhR5YeBzxOJKalGMIEF+c8RjiMSS1ys/3M8cR/c327dvJ2Nj4719Wm4qKCjpy5AgZGxsTAJo3bx6dO3eOdu3aRWZmZgSAQkJCiIioU6dO1LFjRyIiKi8vJ0tLS3JxcaHHjx9TaGgoNW3alADQl19+SSdOnKDp06dTYWEhASAnJ6en+s3Kyqr29Zra/6tntfUiTk5OBIA++OADCg4Opp9++olMTExIJpNRXFwcERF99NFHBIASExOfyjh69Oha91NQUECdO3emlStXVn3t/v371LlzZ3JwcKB79+7V+HPKy8uj3r1704wZM0ipVBIRUVpaGunr69NfPzYzZsygK1euVP3d19eXWrZsSQ8ePHjuv4FonTp1otWrV0vS9uPHjwkAHTp0SJL2a4PHEY8jqa1YsYJ69OghWfujRo2iyZMnS9b+i/AY4jEktUuXLhEASk1N/fu3IqoVZ5s3byZzc3P1JHuOzp07EwAqKiqq+tq6desIAE2YMIGIiNauXUu7d+8mIiKFQkEdO3YkAwODqtd36dKFAFBubu5TbT/rQ6xUKqt9/UXt19TWi1QOiPz8/KqvBQQEEACaMmUKERHl5OSQmZkZzZgxo+o1X375JR05cqTW/fzzn/8kAHTnzp2nvr5t2zYCQEuXLiWiZ/+cfvjhBwJAycnJT7238t+FiCgiIoIAPPNPZc6a/g1Ec3FxeeoXhSoVFBQQAPrzzz8lab8ueBzxOJLKqlWryNnZWbL2/fz86N1335Ws/driMcRjSCqJiYnVCt//L6LabU19ff1G8QSETPYkmqmpadXXXnvtNQBPLsECwKJFizBq1Chs2LABq1evRllZWdVlVwBV6+M0b978hf09ay2dF7XfUBYWFlX/PXr0aABAcnIygCdPy86fPx/btm3D7du3QUQ4deoU/Pz8at1+aGgogOoPd1ReLg8LCwPw7J9TcHAwAFTbOqXy3wUAoqKi4OLiAiKq9ufVV1+tse3GoKKiAvr6+pK0XdkujyPUqv2G4nEkhpRjCHjyM+IxhFq131A8hsSonG/4rGlk1YozqSd5NkSbNm0A/N92HpGRkXB1dUXHjh3x8ccfw8zMTKX9Sd3+X7Vq1QrAk+0cKi1atAhNmjRBQEAAYmJi0Lt37zrNBaz88P591/vKvv7+dMhfVW6d8rzlJnJzc5Genv7Mpx4b+yTX8vLyqsmYqlY5j6C8vFyS9huKxxGPI1WQcgwB0s9pawgeQzyGVKHy8/2scVStODMyMkJFRUWjOGP5u8p/nKFDhwIApkyZArlcjhEjRgD4vysVRPTCtmpz1tGQ9uuqcq2byiofeLIGyuzZs/HTTz/h+++/x7vvvlunNivPSo4ePfrMvip/js/StWvXZ77376+pnIT5V8nJyVi/fn2dsqpbWVmZZAcWAwMD6OvrN9oDC48jHkeqIOUYAp6c5DTWExweQzyGVKHy8/3McfT3G52HDx8mAFRaWqram6t1VHkvXC6XV33t119/pZ49e1J5eTkREVlYWBAAOn78OO3cuZNatGhBACgiIoJu3LhBdnZ2BKDapD9HR0cyMTGhrKysqq9VzhNq3bp11dde1H5xcTEBIDs7uzr9v3Xt2vWpe99KpZJmz55Nr732WtWEx0p3796lJk2a0IABA+rUBxFRcXExubi4UNu2bZ+6179gwQLq169f1c/xWT+ny5cvk76+PjVv3pyOHTtGxcXFdOrUKTI3NycAlJ6eTqWlpeTg4EAA6J133qGdO3fSRx99RL6+vlVzGGr6NxDN2tqaNm7cKFn7TZs2pW3bIQaY+wAAIABJREFUtknWfm3xOHqCx5Hqvf/++zR48GDJ2p8yZQqNGjVKsvZri8fQEzyGVO/UqVM1zYOL0F+1atWqvxZrN2/exI4dO7BkyZJ6LWynKuvXr0dubi4sLCzQpUsXFBUV4cKFC9i4cSOaNm0K4Ml98pCQEMTHx2PSpEno2LEjIiIicOXKFaSlpVXdq87JyUG7du3QunVrAMDdu3dx5coV9OjRA87OziguLsbq1asREhKCoqIiWFhYwMXFBS1atHhm+zdu3EDPnj3x7bffIjIyEvn5+bCysoKTk1NVtudxcnJCXl4eduzYgbCwMJw8eRLdunXDmjVrnrqPDjxZpO7ixYuYPHky3N3d6/QzNDQ0xOTJk5GXl4effvoJsbGxOHXqFKysrLBp0ybI5XJ8/fXX+N///lft52Rra4uBAwciLi4O69evx7Zt22Bra4vCwkKMGDECbdq0gaOjI8aMGYP09HQEBwfj1KlTaNeuHTZs2AAjI6Ma224MPv/8c7z22mvo0aOHJO2vXbsWAwcORK9evSRpv7Z4HD3B40j1Dhw4gLKyMkyaNEmS9oOCgpCdnY0pU6ZI0n5t8Rh6gseQ6l25cgW7d+/GypUrYWho+Ndv3dYjevq6aExMDDw9PZGWlgZHR0f1Jv2Lrl27IiUlRZLLtpqkuLgY7u7uiI+Ph4mJieg4WqGsrAzGxsY4dOhQ1cReVevUqROmT5+OFStWSNJ+bfE4eoLHkeq99tprsLKywvbt2yVpf8WKFQgODkZMTIwk7dcWj6EneAyp3vbt2/Hee++htLT079+6WG3OWeVGs1LuO6it9PT0Xvjn6tWrdWpzw4YNmD9/frXBIEVfuqJyP0ApN1V+3oa27Pl4HGmGnJwcSfe+tLa2lnTvTm3GY0gzPG//2GqPW1S+UPSgqHzqoqioSNInU1RJVWdWERERmDVrFkpKSqBQKJ75wdb1s7iGqPxsS3lgsbGxaRTFGY8jHkdSkXpj8sZygsNjiMeQVHJzc2u8SFDtypmZmRmMjY2FFWdFRUX45z//iVu3bgEAFixYgPDwcCFZRDE1NUVBQQFkMhl2794t6RNRukhdV85EnuDwOOJxJLWcnBxJx5CNjQ2Ki4ufdctHLXgM8RiS2vOuPlebcwYAdnZ2mDt3Lj788EPJwzGmbrt378a0adNQWloq2SKaS5cuxdmzZxEVFSVJ+4yJVFZWBhMTE+zfvx9jx46VpI/IyEj06dMH6enpcHBwkKQPxkQaPXo0mjZtij179vz9W9XnnAFPirOsrCzpkzEmQEZGBjp06CDp6uZ2dnbVFlxkTFtkZWVBqVRKWjTZ2dkBqL5wKWPaIiMjo8Yx9MzizMHBARkZGZKGYkyU5w0IVbG3t0dOTg4KCwsl7YcxESqPD3/fUkeVWrZsCRMTEy7OmNbKzMyscQw9szizt7fnAcG0VkZGhqQHFeD/Dlo8jpg2ysjIgKWlJZo1ayZZH3p6enwFmmmt3NxcFBQU1O3KWWVxxk9hMG30vLMVVakccHwFmmmjzMxMtcwD47s4TFu96OrzM4uzyn2qeFAwbVNcXIzMzEx069ZN0n5MTU3Rvn17JCcnS9oPYyIkJSVJPoaAJ8ciHkNMGyUlJcHIyKhuV87c3Nwgk8kQHx8vaTjG1C0pKQlKpRJubm6S9+Xm5oaEhATJ+2FM3eLj4+Hq6ip5P66urkhMTKzV5uCMaZKEhAQ4OzvDwKDacrMAaijOTE1N4eDgwMUZ0zoJCQkwNTVFx44dJe/Lzc2NxxDTOvn5+bh586ZaijM3NzeUlZUhNTVV8r4YU6eEhITnXiR4ZnEG8Fk/004JCQlwcXGptqmvFFxdXXH16lWUlZVJ3hdj6pKQkAAiUsvVZxcXFxgYGPCxiGmdhISE557g1HiEcnd3x+XLlyUJxZgosbGxajmoAECPHj1QUVGBxMREtfTHmDrExcXBysoK7du3l7wvIyMjODk58bGIaZX79+/j7t279bty5u3tjevXr+Pu3buShGNM3eRyOaKiotCvXz+19Ne1a1c0b94cYWFhaumPMXUICQlBv379oKenp5b+vL29ERoaqpa+GFOH0NBQ6Ovro3fv3jW+psbirG/fvtDX19e5vcSY9oqJiUFJSQn69++vlv709PTQt29fLs6YVgkNDYWPj4/a+vPx8UFUVBTKy8vV1idjUgoNDYWrqyssLS1rfE2NxZmFhQW6d+/OBxamNUJDQ2FjY4NOnTqprU8fHx9cuHBBbf0xJqUbN27g5s2bai/OHj9+zLc2mdYICQl54Rh67qxoHx8fvpzMtEZoaCj69++vttsxwJMxdPv2bdy4cUNtfTImldDQUBgaGsLLy0ttfXbq1AktW7ZESEiI2vpkTColJSWIjY194fSa5xZngwYNQnR0NPLy8lQajjF1q6iowNmzZzFo0CC19tunTx+YmJjgxIkTau2XMSmcOHGi6jOtLnp6ehg4cCCPIaYVzp07B7lcjoEDBz73dc8tzoYOHQoAOHnypMqCMSZCREQE8vLyMGLECLX2a2xsjAEDBiAoKEit/TKmakSE48ePq30MAYCfnx/OnTuHkpIStffNmCoFBQXB3d0dbdq0ee7rnlucWVlZoW/fvjh27JhKwzGmbseOHYODgwM6d+6s9r79/PwQHBwMuVyu9r4ZU5W4uDjcuXMHfn5+au97xIgRKCsrw7lz59TeN2OqdOzYsVqNoReuxOnn54djx47xJuhMowUFBWHkyJFC+h4xYgQKCgoQEREhpH/GVOHYsWOwtbWFh4eH2vu2tbWFm5sbX4FmGi0jIwOpqamqKc5GjhyJe/fuISoqSiXhGFO3mzdv4vLly0JuxwBA586d0blzZxw+fFhI/4ypwpEjR+Dn56fWB2r+6pVXXsHhw4f5QgHTWIcOHYKlpWWt1tp8YXHm4eGBzp07IzAwUCXhGFO3wMBAWFpawtfXV1iG8ePHY9++fXxgYRrp5s2biIiIgL+/v7AMb7zxBjIzMxEZGSksA2MNsXfvXowZMwaGhoYvfG2tNhgcP348AgMD+cDCNNK+ffswduxYNGnSRFgGf3//qgMcY5pm7969sLKywpAhQ4Rl8PDwQNeuXflCAdNIN27cQGRkJCZMmFCr19eqOJswYQIfWJhGysjIQHR0tNAzfuDJXrXdunXjAwvTSIGBgRg3bpzQExzgydWzwMBAKJVKoTkYq6vKE5zBgwfX6vW1Ks7c3NzQtWtX7Nmzp0HhGFO3vXv3wtrautYDQkrjx4/H/v37oVAoREdhrNZSU1MRExOD8ePHi44Cf39/3Lp1ixdHZxpn7969dTrBqVVxBgBTp07Fjh07eJ0ZpjGICFu3bsWkSZNqdY9falOnTsXdu3d5aRqmUbZs2YK2bdsKvaVZydXVFT179sTmzZtFR2Gs1uLi4nD58mVMnTq11u+pdXH2zjvvoLi4GAcPHqxXOMbU7cyZM0hNTcU777wjOgoAoGPHjhg4cCA2bdokOgpjtVJRUYHt27fj3Xffhb6+vug4AICZM2di//79vHMN0xg///wznJyc6rQnba2Ls1atWmHUqFF8YGEaY/Pmzejbty/c3d1FR6kyc+ZM/Pnnn7h9+7boKIy90JEjR3D//n28++67oqNUmTRpEgwMDLBr1y7RURh7odLSUuzZswczZ86s0zI0tS7OgCcHlvPnz+PKlSt1DsiYOuXk5ODgwYOYMWOG6ChPGTNmDKysrLBlyxbRURh7oU2bNsHX1xd2dnaio1QxNzfH+PHj8d///ld0FMZeaO/evSgpKcGUKVPq9L46FWfDhg1Dp06dEBAQUKdOGFO3jRs3wsTEBG+++aboKE8xMjLCjBkzsHHjRpSVlYmOw1iNkpOTERQUhLlz54qOUs3cuXORkJDA+z6zRo2IEBAQAH9/f7Ro0aJO761TcSaTybBw4UJs27YN9+7dq1NHjKlLWVkZfvzxR8yZMwempqai41Qzf/58PHz4EDt37hQdhbEarV27Fl26dMErr7wiOko1PXv2xKBBg7B27VrRURir0fHjxxEfH49FixbV+b11Ks4AYNq0aTA3N8dPP/1U584YU4dff/0VeXl5mDNnjugoz9SmTRtMnDgRa9as4fWaWKN0//597N69G4sXL4ZMVufDhFosXrwYQUFBiIuLEx2FsWf6z3/+A19f33rtR1vnUWdiYoLZs2fjxx9/5GU1WKOjUCiwbt06vP3222jdurXoODVavHgxrl27xstqsEbpu+++g6WlJSZPniw6So1GjhyJbt268TQb1ihdvnwZp06dwuLFi+v1/nqdEs2bNw8lJSX48ccf69UpY1LZu3cv0tLSsHTpUtFRnsvV1RUjR47EZ599xtuisUYlJycH69evx8KFC2FsbCw6To309PSwbNky7Ny5E2lpaaLjMPaUTz/9FD179sSwYcPq9X49queRYfny5diyZQvS09Nhbm5er84ZUyWFQgEXFxf07dsXv/76q+g4L3Tp0iV4enri0KFDGDVqlOg4jAEAli1bhl9++UUjfrcrFAp0794dXl5e2L59u+g4jAEAYmJi4OXlhSNHjtR3zubFehdnubm56NixI5YtW4Z//vOf9WmCMZXaunUr3nvvPVy5cgWOjo6i49TKmDFjcP36dcTGxjbauT1Md2RnZ6Njx45YtWpVvW/HqNvu3bsxZcoUJCQkoFu3bqLjMIaRI0ciOzsbkZGRdVrb7C/qX5wBwMqVK/HDDz8gPT0dVlZW9W2GsQYrLy9H165dMWTIEI1aKDkhIQE9evTA3r17G8XehUy3LVy4EIGBgUhLS4OJiYnoOLWiVCrh7u4OZ2dn7Nu3T3QcpuPCwsLg4+OD48eP1/uWJhpanOXn56Nz586YNGkS1q1bV99mGGuwNWvWYNWqVbh69Srat28vOk6dTJ48GWFhYUhOToaRkZHoOExHXbt2Da6urggICMDs2bNFx6mTw4cPY/To0bhw4UKdtshhTJWICH379oWpqSlOnz7dkKYaVpwBT/aMmjdvHmJjY+Hi4tKQphirlwcPHqBLly5YuHAhVq1aJTpOnd2+fRtOTk7417/+heXLl4uOw3TUK6+8gqysLMTGxsLAwEB0nDobPnw4srOzER0dzVMEmBDbtm3D9OnTERMT09BtAxtenCmVSvTu3RutWrXC0aNHG9IUY/Uyffp0BAcH4+rVq41y0dna+Oyzz7BmzRpcu3atUS8BwrTTyZMn4evri+DgYPj6+oqOUy/Jyclwd3fHpk2bMG3aNNFxmI4pKiqCk5MTXn/9dVWsZNHw4gwAzpw5g8GDB+OPP/5olKtJM+0VFRWFvn37YufOnZg4caLoOPVWWlqKrl27YuDAgdi2bZvoOEyHlJWVoUePHnB2dsaBAwdEx2mQuXPn4uDBg7hy5QosLS1Fx2E6ZMWKFfjpp5+QmpoKGxubhjanmuIMACZOnIiwsDAkJSXBzMxMFU0y9lwVFRXw9PRE8+bNcerUqfo+FdNoHDx4EOPGjUNwcDCGDh0qOg7TEZ9++inWrFmDxMRE2Nvbi47TILm5uXB2dsaYMWN4FxumNvHx8fD09ERAQICqdqZRXXGWk5MDZ2dnvPXWW7xiM1OLr776Cp9++iliY2PRtWtX0XFUYty4cbh06RISExM19hYt0xwpKSno0aMHvvrqKyxcuFB0HJXYs2cPJk2ahJMnT2Lw4MGi4zAtp1Qq0b9/fyiVSoSFhalqvqPqijPgyZ6G06dPx/nz5/mJGSap1NRUuLu745NPPtGqSfT37t2Ds7Mzpk+fjjVr1oiOw7SYUqnEgAEDUFZWhvDwcOjr64uOpDKvv/46rl69iri4uEa9ywHTfN9++y1WrFiBS5cuqfKhSNUWZ0SE4cOH4/bt24iOjkbTpk1V1TRjVRQKBQYNGoSCggJER0dr5JNlz7Np0ybMmTMH58+fh7e3t+g4TEsFBATgww8/RHR0NNzc3ETHUambN2/CxcUF77//Pr755hvRcZiWunbtGnr27ImlS5di5cqVqmxatcUZANy6dQvu7u6YOHEi1q9fr8qmGQMAfPHFF/jiiy9w8eLFhj6u3CgREV577TUkJSUhNjYWFhYWoiMxLZOUlAQvLy989NFH+Oijj0THkcSWLVswa9YsBAcHY8iQIaLjMC1TUVGB/v37Qy6XIzw8HE2aNFFl86ovzgDgwIEDGD9+PO8ZyFQuOjoa/fr1wzfffKM1c2Se5cGDB3B3d8fw4cM1Yp9QpjkeP36MPn36wMLCAmfPntWq25l/9+abbyIkJARxcXGwtrYWHYdpkRUrVuCHH35ATEwMnJycVN28NMUZAEydOhVBQUGIi4uDra2tFF0wHVNYWIiePXuiY8eOCAoK0vinM1/kjz/+wGuvvYbdu3fjzTffFB2HaYn58+dj586diI2NhZ2dneg4knr48CHc3d3Rp08f/Pbbb6LjMC1x9uxZDBkyBD/99BNmzpwpRRfSFWcFBQXo1asX2rZti5MnT2rdvCCmXkSECRMm4Ny5c4iNjdWZhVrnz5+Pbdu2ITIyUmueSGXi7Nu3DxMnTtSpgv/MmTPw9fXF2rVr8cEHH4iOwzTc3bt30atXL3h7e0u5LqB0xRnwZFNnb29vzJo1C99++61U3TAdsGbNGqxYsQLHjh3T2BXM60Mul2Pw4MF48OABIiMjeWFNVm9Xr15Fnz59MG3aNHz33Xei46jVV199hU8++QQnT57EgAEDRMdhGkoul2PIkCG4d+8eoqKipPx9LG1xBjxZc+att97Ctm3bMGXKFCm7YlrqzJkzGDZsGL766issWbJEdBy1qzxT6927Nw4ePKj1t3OZ6hUWFqJPnz6wsrLC2bNnVT15udEjIvj7++PChQuIiYlB27ZtRUdiGmj+/PnYunUrLl68KPVe4tIXZwCwYMEC/PLLL7hw4QI8PDyk7o5pkYyMDPTt2xcvv/wyAgMDdbYwOXv2LHx9fbFq1SqtfbqOSUOhUGD06NGIjo5GTEwM2rRpIzqSEAUFBejduzeaNWuG06dP81JPrE62bt2K6dOnY8+ePZgwYYLU3amnOJPL5RgxYgSuXLmCiIgItG/fXuoumRbIy8tDv3790LRpU5w/f17ntwXbsGED5s+fj127dmn0PqJMvebPn48tW7bg1KlTOr9u3tWrV9GvXz8MGTIE+/btU9Vq7kzLnTp1CiNGjMCSJUvw5ZdfqqNL9RRnwJOzlpdeegkKhQIhISGwsrJSR7dMQ3FB/2yLFy/G+vXrERQUhEGDBomOwxq5b7/9FkuWLMHOnTvx1ltviY7TKFy4cAG+vr5YsGABL1DLXig5ORn9+/eHr68v9uzZo66CXn3FGQBkZWXB29sbrq6uOHLkiM7Ne2C1Q0SYPHkyjhw5gpCQELi6uoqO1GgolUqMHz8e586dQ0hICD/ByWp04MAB+Pv749///rdOztV8nl27dmHy5MlYv369qjaqZlrozp076NevHzp06IATJ07AyMhIXV1fVOs1XTs7Oxw5cgTh4eGYNGkSFAqFOrtnGmL+/PnYv38/fvvtNy7M/kYmk2Hnzp1wcnKCr68vMjIyREdijVBwcDAmTZqEOXPmcGH2DJMmTcIXX3xRteYbY3+Xk5MDX19fmJiY4ODBg+oszJ4gAUJDQ8nU1JQmT55MCoVCRATWSC1fvpz09fVp3759oqM0ao8ePaJevXpRhw4dKCsrS3Qc1oiEhYWRmZkZ/36thWXLlvHvG1ZNfn4+eXp6UocOHSgzM1NEhAghxRkRUVBQEDVp0oRmz55NSqVSVAzWiKxevZpkMhlt375ddBSN8ODBA3J2dqZu3brR/fv3RcdhjUBUVBRZWFjQuHHjSC6Xi47T6CmVSpozZw41adKEjh07JjoOawSKiorIx8eH2rZtS9evXxcVQ1xxRkT0+++/k6GhIc2aNYvP8HTcqlWrSE9PjzZu3Cg6ika5ffs2OTo6Urdu3ej27dui4zCBQkNDycrKikaMGEFlZWWi42gMhUJBU6dOJSMjIzp8+LDoOEygR48ekY+PD7Vs2ZKSk5NFRhFbnBER/fHHH2RsbEwTJ06k8vJy0XGYmimVSlqyZAnJZDLatGmT6Dga6e7du+Tq6kr29vaUlpYmOg4T4MyZM2Rubk6vvvoqlZaWio6jcZRKJc2fP5/09fVp27ZtouMwAXJzc6l3795ka2tLCQkJouOIL86IiIKDg8nU1JTGjh3LZ3w6RKFQ0HvvvUeGhoa0e/du0XE02oMHD6hHjx7Uvn17unr1qug4TI0OHz5MxsbG9NZbb/GtzAZQKpX0j3/8g/T19WnLli2i4zA1un37Njk7O5ODgwOlp6eLjkPUWIozIqILFy6QpaUlDRw4kB4+fCg6DpNYcXExjRkzhoyNjenQoUOi42iFvLw88vb2JhsbGwoJCREdh6nBzz//TAYGBjw1RIU+/vhj0tPTo88//1x0FKYGiYmJZGdnR926daNbt26JjlOp8RRnREQJCQnUoUMH6tSpE127dk10HCaRnJwc8vHxoebNm9O5c+dEx9EqpaWl5O/vT0ZGRrRr1y7RcZhElEolrVy5kvT09GjlypX8UJWKbd68mQwNDWnatGk83UaLnTx5kqysrMjb25sePHggOs5fNa7ijOjJ5cUePXpQq1atKCIiQnQcpmLJycnk4OBAjo6OlJKSIjqOVqqoqKAFCxaQnp4eff3116LjMBUrKSkhf39/atKkCc+PktAff/xBZmZmNHToUMrLyxMdh6nYL7/8QoaGhjRx4kR6/Pix6Dh/1/iKMyKigoICGjlyJBkZGfEkcS3y+++/k4WFRWM8S9FKAQEBpK+vT2+++SYVFRWJjsNUICMjgzw8PKhZs2Z0+vRp0XG0XkxMDLVp04Y6d+5M8fHxouMwFSgvL6d58+YRAFqxYkVjvercOIszoieX7b/++muSyWQ0efJkKikpER2J1VNFRQWtXLmS/y0FOHv2LLVq1Yq6du0q+tFw1kCnT5+mli1bkpubGz+Vq0YPHjygwYMHk7GxMW3dulV0HNYAt2/fpn79+pGZmRnt3btXdJznabzFWaX//e9/ZGlpSV5eXo3lKQpWB3fv3qWhQ4eSsbEx/fLLL6Lj6KSsrCzy9PQkS0tLOnDggOg4rI4qKiro008/JZlMRpMmTaLi4mLRkXROeXk5ffDBBwSAPvjgg8Z4G4y9wOnTp8nW1pa6dOlCiYmJouO8SOMvzoiIUlJSyM3NjSwsLHiOhQY5cuQItWzZkjp27EjR0dGi4+i00tJSmjVrFgGgmTNn8m1ODZGZmUkvvfQSGRkZ0Q8//CA6js7bvXs3mZubk7u7OyUlJYmOw2qhrKyMli1bRjKZjMaNG0f5+fmiI9WGZhRnRESPHz+u+gG/8cYblJubKzoSq0FpaWnVhPTx48fzZNpG5Pfffydra2tycHCg0NBQ0XHYc+zfv5+aNWtG3bp1o8uXL4uOw/6/zMxM6t+/PxkbG1NAQEBjnbPEiCg9PZ28vb2padOmFBAQIDpOXWhOcVbp+PHj1Lp1a2rXrh1vtdEInTt3jpycnMjKyqqx39PXWbdu3aKhQ4eSoaEh/etf/+IV5RuZu3fv0vjx40lPT4/mzZvHczQbIblcTp988gnp6+vTsGHDeMpNI1NRUUFr164lExMT8vT01MSVATSvOCMiys7OpkmTJhEAmjBhAt27d090JJ336NEjmjVrFunp6dErr7xCN27cEB2JPYdCoaDvv/+ezM3NycnJic6fPy86ks5TKpW0ZcsWatasGdnb21NQUJDoSOwFwsPDycXFhUxNTWnt2rVUUVEhOpLOu3z5Mnl6epKRkRF9+umnmrpOnWYWZ5X+/PNPsrOzo+bNm9N///tfXiFbkL1791KbNm2oZcuWvA2ThsnKyqKRI0eSnp4ezZo1i7Kzs0VH0klJSUk0aNAg0tfXp4ULF/KcQA1SVlZGq1atIiMjI/L09KTIyEjRkXRSQUEBLV26lAwMDMjHx0fTn07X7OKMiKiwsJAWLlxIBgYG5OHhwSvOq9GlS5fopZdeIplMRu+88w7l5OSIjsTqadeuXdS6dWtq1qwZBQQEaOrZpsZ5+PAhLViwoOr318WLF0VHYvWUlJREL7/8MslkMpo2bRrduXNHdCSdoFAoaOvWrVW/v3788UdtuFCj+cVZpaSkJBo+fDgBIH9/f7p+/broSFrrzp07NHPmTJLJZOTt7c1nilqioKCAli9fTkZGRtStWzc6evSo6Ehaq7y8nDZs2EDW1tbUsmVL2rRpkzYcUHSeUqmkffv2kZ2dHZmZmdGXX37JS59I6MKFC+Tl5UX6+vo0e/Zsbbryrz3FWaUjR45Qly5dyNDQkGbNmsVzn1TowYMHtHjxYjIxMaF27drRrl27+EklLXT9+nUaO3YsAaB+/frRqVOnREfSGnK5nLZu3UoODg7UpEkTWrJkCT169Eh0LKZiJSUl9Nlnn5GpqSm1bt2avvvuO14bTYUiIyPJz8+PANCQIUO0cfcG7SvOiJ78AtyyZQvZ29uTkZERzZs3j27evCk6lsZ68OABrVixgszMzKhVq1YUEBDAT/jpgIiICBo2bBgBoIEDB9LZs2dFR9JYcrmcduzYQZ07dyZDQ0OaMWMGZWZmio7FJHb//n36xz/+QU2bNqV27drRjz/+yEVaA0RHR9OoUaMIAHl7e9OJEydER5KKdhZnlcrKymjjxo3Url07MjQ0pMmTJ1NsbKzoWBrj2rVrNHv2bGratCnZ2NjQN998w5foddCFCxdo4MCBBIB69+5NgYGB/FRaLRUWFtK6devIzs6O9PX1acqUKbz1kg66ffs2zZs3j4yMjKhVq1b0+eef8xzdWlIqlfTnn3/S4MGDCQD16tVLF6ZcaHdxVqmsrIy2bt1Krq6uBIB8fX3pyJEjfIB5BqVSSWfOnKGxY8eSTCYjR0dHWr9+PT89xigsLIxMfPnAAAAgAElEQVTGjRtHMpmMHBwcKCAggB4+fCg6VqOUnp5Oy5cvJysrKzI1NaX58+fzWliM7ty5QytWrKBmzZqRiYkJzZ07l3caqEFRURFt3ryZunfvTnp6ejRs2DAKDg4WHUtddKM4q6RUKikoKIh8fX1JT0+P2rVrR5988gnfXqAnC19+/fXX1Llz56pLxvv37+cCllWTlpZGc+fOJTMzMzI2Nqa3336bzp49q/PzD8vKymjfvn3k6+tLMpmM2rRpQ6tXr+bdTFg1hYWF9N1335GjoyMBIB8fH9q6dSvfmSCiqKgoeu+998jCwoKMjIxoypQpFBcXJzqWuulWcfZXqamptHz5crK1tSWZTEZDhw6lzZs369Qv0oKCAtq5cye99tprZGhoSM2aNaMFCxZo4+RKJoGCggL6+eefycvLiwBQly5daOXKlTp1JUChUNC5c+do7ty51KJFC9LX16dXX32VDh06RHK5XHQ81sgpFAo6ceIE+fv7k5GREVlaWtK7775LQUFBOvX5SU9Pp6+//prc3d0JALm4uNC6det0+dZvhB4REXSYXC7HH3/8gZ07d+LPP/+EQqGAr68vxo8fj5EjR6Jly5aiI6pUXl4ejh8/jv379+PYsWOoqKjA0KFDMWnSJIwbNw7GxsaiIzINFBcXh61bt2L//v24c+cOunfvjgkTJuD111+Hq6ur6HgqVVFRgbCwMPz+++9V/7+urq548803MXXqVLRt21Z0RKaBcnJysGPHDuzZswdRUVGwsbHB2LFj8cYbb+Dll1+GkZGR6IgqlZqaisOHDyMwMBCRkZFV/79Tp05Fv379RMcT7aLOF2d/VVhYiMOHD2Pfvn0IDg6GXC5Hz5494efnhxEjRqB3794wMDAQHbNOlEolLl++jKCgIBw7dgwREREAgMGDB8Pf3x9jx45F8+bNBadk2kKpVCIkJASBgYH47bffcP/+fbRr165qDA0ZMgSWlpaiY9bZrVu3EBQUhKCgIJw8eRL5+fno2rUrJkyYAH9/fzg7O4uOyLRIeno6AgMDERgYiMuXL8PU1BSDBg3CiBEj4Ofnh44dO4qOWGfFxcU4e/Ysjh07hqCgIFy/fh3NmjXD6NGjMWHCBAwZMkTjjq8S4uKsJkVFRTh9+nTVL+SMjAyYmZmhT58+8PHxgY+PD/r27QsLCwvRUZ9SUlKCqKgoXLhwAWFhYQgLC0N+fj7atGkDPz8/+Pn5YejQoWjWrJnoqEzLKZVKxMTEVP0yjoyMBAB0794d/fv3R79+/eDj4wM7OzvBSZ+mVCqRnJyMkJAQhIWFISQkBBkZGTAxMcGAAQOqDpCdO3cWHZXpgBs3blQdh06dOoWCggK0bdu2agz1798fbm5uja6wuXv3btX4CQsLw6VLl6BQKNCjR4+qkzVvb+9Gl7uR4OKstlJSUnD+/PmqD1paWhr09PTg4OAANzc3dO/eHW5ubnBycoKDgwPMzc0lzVNSUoKMjAykpKQgMTERCQkJuHTpEtLT0wEA7du3rxq8L7/8MlxdXaGnpydpJsae5+HDhzh37lzVGIqJiYFcLkfz5s3h7u6O7t27w9XVFS4uLnBwcEDr1q0lzVNRUYFbt27h+vXrSExMRGJiIuLi4pCcnIzi4mKYm5ujb9++8PHxQf/+/eHj48O3/ZlQcrkcERERCAkJQWhoKMLCwpCXlwc9PT14eHhUjSE3Nzc4OjqiQ4cOMDQ0lDRTdnY2MjIykJycjISEBCQkJCA+Ph7379+Hvr4+3Nzcqo5FAwcOhK2traR5tAQXZ/V17949REZGIj4+HvHx8UhISEBqaioUCgUAwNraGg4ODrCzs0OrVq1gY2MDa2vrqj8GBgZo0qQJTE1Nn2q3tLQUjx8/hlKpRG5uLnJzc5GTk4Pc3Fw8ePAAWVlZyMzMxP379wEAMpmsqkA0NjbGnj174OHhgZiYGC7GWKNWWlqK6OhoxMbGVv1CT0pKQlFREQDA2NgYDg4OcHBwgK2tLVq0aFE1jmxsbNC0aVMAqLoKnJ2djRYtWqCiogKFhYUAnkxVyMnJQXZ2dtVYunXrFjIyMnDz5k1UVFQAAGxsbODm5gZXV1e4urqiV69ecHV1hb6+voCfDGO1k5+fDwcHB+Tl5WHevHm4du0aEhIScPfuXQCAvr4+2rZtC3t7e9jZ2T11DGrZsmXVFAMzM7NqRVx+fj6USiUeP35cdSzKzc1FdnY27t27h4yMDGRkZKC4uBjAk/Hq4uJSNYbc3d3Ru3dvyS9UaCkuzlTp8ePHSE9PR0ZGBjIzM5GRkYEbN27gwYMHT324y8vLa9WegYHBU4PJxsYGHTp0qDpgOTg4oGPHjlUF3oYNG7BgwQIQEbZv3463335byv9dxlROqVTi5s2bT42hjIwMPHjwANnZ2VUnKpUHhNqwsrJ6qqhr06YN7O3tnxpD2vbgD9MN8+bNw8aNG6FUKhEVFQVPT08AQG5u7lPHoszMTNy8efOp41Bubm6t+zExMXnqOGRraws7O7uqcWRvbw97e3s+mVEdLs5EKCwsREVFBcrLy6sdZJo2bQpjY2PIZLI6T5xetGgRNmzYALlcjmbNmiE9PV0jJ18z9iKPHz9GaWkpgCdPIM+ePRvBwcFYsWIF3n///aqzdXNzc57TwrRSQkICevToAaVSCT09Pezduxf+/v61fr9SqUR+fj6AJ5P1/37RwNLSEjKZDMbGxlVXqZnaXOTfWgJIdZk3NTUVcrkcRISCggKsWrUK69atk6QvxkQyNjaumv+lr6+Ps2fPAgCOHj2KL7/8UmAyxqRHRHj//fehr68PpVKJJk2a4Pr163VqQyaTVU0J4AfEGh+Z6ABMdVJSUlB5IbSiogLff/894uPjBadiTFoHDx6smjsWHx+P5ORkwYkYk9b27dsRHh4OuVwOAFAoFFUPgzHtwMWZliAi3Lx586mv6evr47333gPfuWbabMeOHVUPvzRp0gSBgYGCEzEmnYKCAixZsuSpr1VUVCAlJUVQIiYFLs60xL179/D48eOnviaXy3Hx4kXs2bNHUCrGpJWdnY2zZ89WPSVdXl6OX3/9VWwoxiT00Ucf4dGjR9VOutPS0gQlYlLg4kxLPO+S9oIFC6omfjKmTfbt21fta1lZWYiOjhaQhjFpJSYm4scff6y6jf9X9+/fr/VKAKzx4+JMS1y/fh0yWfV/zsqHAz7//HMBqRiT1vbt26FUKp/6mqGhIV8tZlqn8iGAZ/2eB548fZmVlaXmVEwqXJxpifT09BpXgpbL5QgICOCHA5hWuXHjBqKjo6vd3pHL5dixY0fVrU7GtMGOHTsQFhb2zKtmlfihAO3BxZmWSE9Pf+6glclkeP/99/nhAKY1du3aVeMaZtnZ2Th//ryaEzEmjYKCAixevPi5rzE0NKzzchqs8eLiTEtcvXr1uVcK5HI5wsPD8eeff6oxFWPS2b59e9VSAn9naGiI3bt3qzkRY9JYu3YtcnJynntyraenx1fOtAgXZ1ri74PS0NCwam6CiYkJXnrpJSxfvhw9e/YUEY8xlbpy5QquXr1a4/flcjn27duHsrIyNaZiTBqvv/465s2bh549e6JJkyYAniyV9NepLHK5HKmpqaIiMhXjHQK0QEVFBR4+fAgAMDIygru7O6ytrREcHIzY2Fi4ubnxJuhMq+zcuROGhoY1XjkDgKKiIgQHB2PUqFFqTMaY6vXs2bPqxLpyTuX06dMxfvx4xMXF4dq1a1AoFNXWumSai4szLWBgYIBTp07B2toazs7OMDAwwPXr19GpUyeUlpZyYca0zr59+6BQKGBkZFTja8rLy/Hbb79xcca0iqGhIfLz89GiRYuqp5JLS0sRGxsLExMTwemYqnBxpiUGDRr01N87duwIa2trREVFoW/fvoJSMSaN1atXIzMzs+rv165dwy+//IJVq1ZV7bkJAN7e3gLSMSatqKgoeHl5Vf29adOm/FnXMlycaSk9PT306tWLF+NkWmnChAlP/f348eP45ZdfsHDhQlhaWgpKxZh6REdH46233hIdg0mIHwjQYp6enoiKihIdgzHGmIrk5+cjLS0Nnp6eoqMwCXFxpsW8vLyQkpKCgoIC0VEYY4ypQFRUFIgIvXr1Eh2FSYiLMy3m6ekJpVKJS5cuiY7CGGNMBaKiotC+fXu0bt1adBQmIS7OtFi7du3QunVrnnfGGGNaIjo6mm9p6gAuzrQczztjjDHt8fcnNZl24uJMy3l6evKVM8YY0wLZ2dm4efMmXznTAVycaTkvLy9kZGQgNzdXdBTGGGMNEBkZCT09Pd6GTwdwcablvLy8QER89YwxxjRcVFQUHB0dYW1tLToKkxgXZ1rOxsYG9vb2PO+MMcY0HD8MoDu4ONMBPO+MMcY0X0xMDD8MoCO4ONMBXl5eiIyMFB2DMcZYPd24cQP37t3jK2c6goszHeDp6Ym7d+/izp07oqMwxhirh+joaMhkMnh4eIiOwtSAizMd0KtXL8hkMr61yRhjGioqKgrdunWDubm56ChMDbg40wGWlpbo3LkzPxTAGGMaKjo6mueb6RAuznSEl5cXXzljjDENRES4dOkSzzfTIVyc6QhPT09ERkaCiERHYYwxVgdpaWl4+PAhXznTIVyc6QgvLy88fPgQmZmZoqMwxhirg6ioKBgaGsLNzU10FKYmXJzpiB49esDAwIDnnTHGmIaJjo6Gq6srjI2NRUdhasLFmY4wMTGBs7MzzztjjDENExUVxbc0dQwXZzrEy8uLr5wxxpgGUSgUuHz5Mj8MoGO4ONMhXl5eiImJgVKpFB2FMcZYLVy5cgXFxcV85UzHcHGmQzw9PVFYWIhr166JjsIYY6wWoqKiYGxsDGdnZ9FRmBpxcaZD3NzcYGxszLc2GWNMQ0RHR8PDwwOGhoaiozA14uJMh1Q+is3FGWOMaQZ+GEA3cXGmY3inAMYY0wzl5eWIj4/nhwF0EBdnOsbT0xOXL1+GXC4XHYUxxthzJCQkoKysjK+c6SAuznSMl5cXHj9+jKSkJNFRGGOMPUdUVBTMzc3RpUsX0VGYmnFxpmO6desGc3NznnfGGGONXHR0NDw9PSGT8aFa1/C/uI6RyWTo0aMHzztjjLFGLioqiueb6SguznQQ7xTAGGONW0lJCZKTk3m+mY7i4kwHeXp6IjExEaWlpaKjMMYYe4bLly+joqKCr5zpKAPRARorIkJcXBwUCoXoKCrXtGlTyOVyBAYGonv37qLjCKPNE221+fP7LKmpqQCA2NhYmJmZCU6jHvz51W4HDx6EhYUFcnNz8fDhQ9FxVE6bP7+qoEdEJDpEY3Tu3DkMHDhQdAwmIX19fRQUFMDExER0FJXjz6/2488v02Ta/PlVgYt85awGjx8/BvDkTNzc3FxwGqZqFy5cwLRp07R2vTf+/Go3/vwyTabtn19V4OLsBezt7WFpaSk6BlOxyttg2o4/v9qJP79Mk+nK57ch+IEAxhhjjLFGhIszxhhj7P+1d99hUd3p28DvgUGqAspiN4ouoMaoiRVbrDGmbBTR1ShJxJq1JK4t6m50jUR3NZtY8kajMSqWJSIxlogFUFERsURjw4piQ0Slt+F5//DnRKTDwHdg7s91ce1ymDlzD7kdnjnnzDlERoTDGREREZER4XBGREREZEQ4nBEREREZEQ5nREREREaEwxkRERGREeFwRkRERGREOJwRERERGREOZ0RERERGhMMZERERkRHhcEZERERkRDicERERERkRDmdERERERoTDWRmJiorCokWLkJSUhJdeegm//vqr6kgl1qVLF2zfvh0AsHPnTnh4eOh/JiJYtWoVWrVqBTs7O7Rs2RI//PADRAQASvz8RQSrV6+Gl5cXZs2ahZEjR2Ljxo36n2dlZWH69OmIiYkxwDOkF7G/pesvANy+fRs//PADBg0ahI4dO+b4Gftbttjf0r/+FrRe9rfsaVUHqIxCQ0OxcuVK/PjjjxARxMTEICUlRXWsErty5QqaNGkCALh69SoaN26s/9lnn32GmJgYjBo1ClFRUVi5ciV8fHyQnJyMCRMmwMLCokTPf968efjhhx9w6tQpODo64tGjR2jdujUePHiASZMmQavVYvr06Rg5ciQWLVoEFxcXgz5nU8b+lr6/AFC3bl306tULPj4+cHNzy/Ez9rfssL+l729h62V/y4FQnnbv3i0A5PHjx8W637lz56R+/foSFxenX9akSRM5e/asoSOWi8TERNFoNJKamioiIhMnTpTPP/9cRERu3rwpQ4cOzXH7Z7+3xo0b65cV9/lHR0eLVqsVX1/fHMu/+OILsba2lgcPHuiXnT59Wpo3by6JiYnFel4l/e9bUbC/T6no74sAiJubW54/Y3/zxv4+paK/RV2vCPtbhsK5W9OAsrOzMWzYMHz00UeoUaOGfnmzZs3073wqmqtXr6JevXqwsrICAFy7dk3/zi06OhqLFy/Ocfs+ffrAyckJsbGx+mXFff5+fn7IyspCz549cyzv0aMHUlNTsXr1av2yli1bonHjxpg6dWqxnxvlxP4apr/Fwf4aDvtrmP4Wdb0A+1umVI+Hxqokk31gYKAAkCNHjuRYHhQUpP//ly5dEk9PT5k2bZoMGzZMOnfuLL/99ptkZWVJSEiITJo0SV566SWJiYmRrl27Sp06dWTr1q25ltevX1/i4+PzXZ+IyPr168Xa2loAyJdffimZmZkiIuLn5ycWFhayZs2afJ/L0qVLBUCBX89vwXomOztbqlWrJv369cvz+RfFm2++KQDk9u3bOZbfunVLAMiQIUNyLF++fLmYm5vLlStXivwYlf2dG/urrr8vQgFbzkTY37ywv8bT3/zW+wz7WybCOZzloyTl+etf/yoAJCMjI9/bNGnSRFxcXEREJCMjQ+zt7aV58+aSlpYmhw8f1v9j9vX1lb1798qwYcMkKCgo13IfHx9JTEzMd33PzJo1SwDI77//rl8WHR0t7733XoHPJTMzU1JTU2X27Nkybtw4SU1NlcTERLGwsJDbt29LamqqZGdn57pfWFiYWFlZyYkTJ4r8e3tRy5YtBYCkpKTkWJ6cnCwApEOHDjmWnzx5Uv+7KarK/uLA/qrr74sKG87Y39zYX+Ppb2HrZX/LBIez/JSkPC+99JLY29sXeJvFixfLxo0bRUREp9OJi4uLaLVa/c9dXV0FgDx8+DDH/fJbXtj64uLixM7OTkaOHKlf5uvrK9u3by/Scxo4cKCsWLFCREQuXLggtWvXzve2mZmZ0rVrV32ekurSpYsA0B9n8UxKSooAkFdffTXH8tu3bwsAefPNN4v8GJX9xYH9fUpFf19U2HDG/ubG/j5lDP0tbL3sb5kI56c1DejevXuoXbt2gbeZPHkykpKSsHz5csTHxyM9PR1ZWVn6n2s0GgBA9erVc9wvv+WFra9GjRqYMGECFi1ahDlz5qBOnTrYv39/jmME3N3dc+V0cnJCXFwcoqOjcfToUXz11VdITk5GfHw83N3d0b9/f3z55Zc57jN37lz07NkTQ4YMKfB3UBh3d3ccOnQIjx8/Rq1atfTLHz16BACoU6dOjts7ODgAAO7fv1+qxzV17K9h+ltc7K9hsL9l09/C1sv+lhHV46GxKslkb2NjI/Xr1y/wNseOHZOGDRvKrl27RETEzc1Nnv/P8OL3hS0vbH0iIg8ePBBbW1uZMmWKHD9+XD777LMiPZ/k5GQxMzOT5ORkERGZPXu2TJ48Oc/b/vLLL/Lll18Wab2F+frrrwVArk3okZGRAkAWLFiQY3l+W9QKUtnfubG/6vr7IhSy5Yz9zY39NY7+FmW97G+Z4Kc1Dal27dp4/Phxgbfx9vZGZmYm3nzzTQBPP2EEQH9yv+IqyvqcnJwwbtw4fPfdd1iyZAlGjBhRpHVfuXIF9erVg42Njf77vD71s2fPHsTExGDGjBk5lh85cqREz2n48OGwt7dHSEhIjuXBwcGwsLDA0KFDcyx/tkXt+a1sVHzsr2H6W1zsr2Gwv4btb1HXy/6WDQ5nBtStWzckJiYiMTEx39vcvXsXt2/fxp49e7Bhwwb9i0lERARu3bqFtLQ0AE/P7Py8/JYXtr5n/v73vyMjIwM3b94s8seqo6Kicpw8M68Xh3379mHBggXQ6XRYtmwZli1bhqVLl+LTTz/Frl27cq1z0aJFaNasGTZt2pTv41avXh2fffYZvvvuO/3vMiEhAStXrsTs2bNRv379HLePi4sDAHTu3LlIz4vyxv4apr/Pe3byT51Ol+9t2F/DYH8N19/irJf9LSMqt9sZs5Jsdg0NDRUABX50edmyZVKtWjVp27atHD16VL7++mtxcHCQnj17ysSJE/Ufkx41apScPHlSkpKSZO7cubmWF7a+d999N8eJGEVE3nrrLVm3bl2Rn8/8+fNl/Pjx+u8dHBzk6tWr+u+f/3RTXl95fbR63LhxotFopE6dOgU+dnZ2tqxatUqGDRsmM2fO1B8Ym9cnlL799lsxMzPjR7mfw/6q7a+ISHBwsIwaNUoAiFarlYULF8qpU6dy3Y79zY39Vdff4q6X/S0T/LRmfkpanjfffFMmTZpURqlKLikpSRo3bqw/fkGlixcvSrt27Qy2vrfffjvHp6GKorK/OLC/ZYf9LXvsb9lhfysEHnNmaGvWrMGuXbtw79491VFyWL58OSZMmKA/fkGV5ORkLF26FKtWrTLI+sLDwxEVFZXrjNZUMuxvwdhf48b+Foz9rTh4Kg0Dq1mzJgICAvDpp59i1apVsLW1VZYlPDwco0ePRkpKCnQ6HS5evKgsyzPXrl2Dr68vqlWrVup13blzB/Pnz8e+ffsMsj5ifwvD/ho39rdg7G/FwS1nZaBFixaYP38+li9frjSHra0tEhISYGZmho0bN8LS0lJpHuDp78YQ/5AzMzOxbt06bNiwIdcHBKh02N/8sb/Gj/3NH/tbcXDLWRlxcXHBtGnTlGZo0aIFbty4oTRDWbGwsMj1EW8yHPa3bLG/ZYv9LVvsb9njljMiIiIiI8LhjIiIiMiIcDgjIiIiMiIczoiIiIiMCIczIiIiIiPC4YyIiIjIiHA4IyIiIjIiHM6IiIiIjAiHMyIiIiIjwuGMiIiIyIhwOCMiIiIyIhzOiIiIiIwIhzMiIiIiI6JVHcDYnT59GnZ2dqpjKJednQ0zs8ozy1++fFl1hHJhSv2NjY2Fs7Oz6hjlgv2teCrba2hpmEp/S4PDWT4cHBwAAK+//rraIFRmrK2tYWlpqTpGmWB/Kz/2lyqyytxfQ9CIiKgOYazu3LmDtLQ01TGMQs+ePXHjxg0sXLgQAwcOVB3HIBwcHFC9enXVMcqMKfV33Lhx2LNnD2bMmIFRo0apjlMu2N+KY9asWdi8eTP++te/Yv78+arjGIXK3t9SOsbhjIrExcUF169fR5UqVXD8+HG88sorqiMRAQASEhLg5OSEzMxMtGjRAmfOnFEdiUhv/fr18Pb2hkajwQcffIA1a9aojkTG7xh3gFORZGRkAHh63MS7776LJ0+eKE5E9NTWrVuh0+kAAGfPnsX58+cVJyJ66ty5cxg9ejQ0Gg00Gg0yMzNVR6IKgsMZFUlWVpb+f+/cuYP3338f3OhKxmD9+vXQaDQAAAsLC/j7+ytORAQkJSWhf//+yMrKgoggOztb/yaXqDAczqhInn9RyczMxK5du/DNN98oTEQEPHjwAAcOHNBvOcvMzMSaNWv4xoGUGzNmDK5fv65/YwuAwxkVGYczKpLnX2AAQEQwZcoUhIWFKUpEBGzevFm/1eyZmzdv4sSJE4oSEQHLli3Dpk2bcr1upqenK0pEFQ2HMyqSF19knhk4cCAePHhQzmmInlq3bp1+q9kzFhYW2LRpk6JEZOqOHz+OyZMn57n1llvOqKg4nFGRvPgH8Nmy+Ph4DBw4MM+fE5Wl6OhonDhxItcfwczMzDyHNqKy9ujRIwwYMCDf3ercckZFxeGMiiS/LWeZmZkICwvDF198Uc6JyNRt3LgRWm3e59GOi4vDwYMHyzkRmTIRgbe3N+7fv5/v6yW3nFFRcTijQmVnZyM7O7vAn8+dOxdBQUHlmIpM3bp16/I9NYGFhQU2btxYzonIlPn6+mLXrl0Fni6DwxkVFU9CS4VKT0+HlZVVgbfRaDRwdHRETEwMrK2tyykZmarz58+jefPmBd6matWqePDgAS8RQ2XuzJkzaN26dYFvYgGgadOmPA8fFQVPQkuFK+idoIWFBQDgpZdewqRJk/iHkMqFn5+fvnv5SUpK4tZcKhf169fHmDFjUKNGDQDI93WQJ6GlouJwRoV6cVP8s+N8atSogZkzZ+LMmTO4fv06/vnPf8LMjJWisufv7w+dTgdLS8t8vwBgy5YtipOSKXB0dMS3336L+/fvIzQ0FCNGjICtrS0AoEqVKvrbcbcmFVXeR9MSPef5TfXNmjXDkCFD4OTkhI8//hgjRoxAgwYNFKYjU+Tr64vr16/rv4+KisIPP/yAOXPm5NgF7+HhoSIemShzc3N069YNDx48wMqVK7Fjxw7s378fmzdvxt27d1XHowqEx5xRkQQEBKBly5Zo0qQJgKfvAGvVqoU5c+Zg4sSJitORqQsKCkLfvn3x+PFj2Nvbq45DJm7IkCG4f/8+goODATz9JOfx48eRnJyM7t27K05HFQCPOaOi8fT01A9mwNNN9W+99RYCAgIUpiIiMi7p6enYtWsXPD099cs0Gg3atWvHwYyKjMMZlZinpyfCwsJw584d1VGIiIzC7t279Rc9JyopDmdUYn379oWtrS1+/vln1VGIiIxCQEAAPDw8UKdOHdVRqALjcEYlZmVlhX79+nHXJhERnp4qY8eOHTl2aRKVBIczKhVPT08cOHAAsbGxqqMQESm1d+9ePH78GAMGDFAdhSo4DmdUKm+99RasrKywbds21VGIiJQKCAhAu3bteHohKlk/Jb0AACAASURBVDUOZ1QqNjY2eOONN7hrk4hMWlZWFn755Rfu0iSD4HBGpebp6Yng4GDEx8erjkJEpERISAji4uK4S5MMgsMZldo777wDc3Nz/PLLL6qjEBEpERAQgFdffRWNGzdWHYUqAQ5nVGpVq1ZF7969uWuTiExSdnY2tm3bxl2aZDAczsggPD09sXfvXjx58kR1FCKicnXw4EHcu3ePuzTJYDickUH85S9/gYhgx44dqqMQEZWrgIAAtGjRAu7u7qqjUCXB4YwMwsHBAT179uSuTSIyKdnZ2di6dSt3aZJBcTgjg/H09MSvv/6KxMRE1VGIiMrF0aNHcefOHQwcOFB1FKpEOJyRwbz33nvIysrCrl27VEchIioXAQEBcHNzQ/PmzVVHoUqEwxkZTI0aNfD6669z1yYRmQQRwdatW+Hl5aU6ClUyHM7IoDw9PbFz504kJyerjkJEVKYiIiIQHR3N483I4DickUH1798f6enpCAoKUh2FiKhMBQQEwMXFBa1atVIdhSoZDmdkUDVr1kTnzp25a5OIKj3u0qSywuGMDM7T0xPbt29HWlqa6ihERGXi5MmTuHr1KndpUpngcEYG5+XlheTkZOzdu1d1FCKiMhEQEID69eujTZs2qqNQJcThjAyuVq1a6NChA3dtElGltXXrVgwaNAgajUZ1FKqEOJxRmfD09MS2bduQkZGhOgoRkUGdPXsWFy9e5C5NKjMczqhMeHl54cmTJwgODlYdhYjIoAICAlC3bl20b99edRSqpDicUZmoX78+2rZty12bRFTpbNmyBZ6enjAz459QKhtsFpUZT09PBAYGIisrS3UUIiKDiIqKwrlz57hLk8oUhzMqM15eXnj48CFCQ0NVRyEiMgh/f3/UrFkTnTp1Uh2FKjEOZ1RmGjVqhNatW3PXJhFVGgEBARgwYADMzc1VR6FKjMMZlalnuzZ1Op3qKEREpXL9+nWcPn2auzSpzHE4ozLl5eWF+/fvIywsTHUUIqJS8ff3R40aNdCtWzfVUaiS43BGZcrV1RUvv/wyd20SUYUXEBCA/v37Q6vVqo5ClRwbRmXO09MTK1aswNdff53vR891Oh1iY2ORlJSEhIQEJCQkQKfTwdLSEra2tnBwcEC1atXg5ORUzunJGL3Yl99++w0AcPToUTg7O7MvlIMhXl9u3bqFyMhI/Otf/yrH5GSqNCIiqkNQ5fb777+jRYsWOHz4MDw8PPDo0SMcPHgQERERuHTpEi5duoTLly8jPT290HVVq1YNbm5ucHNzg7u7Ozw8PNCxY0dYWVmVwzMhFdgXKo6y6stXX32FefPm4f79+6hSpUo5PBMyYcc4nFGZExE0atQIjRo1QmJiIk6dOgUAaNq0KZo2bQpXV1e4u7ujUaNGsLW1hb29PapWrQqtVou0tDQkJyfjyZMnePz4Ma5evYpLly7h4sWLOH/+PG7cuAErKyt07NgRPXv2hJeXF1xdXRU/YyoNEcHRo0cRGBiIkJAQ9oUKVF59iYuLQ+PGjREYGKj4GZMJ4HBGZef69etYv3491q9fjytXrqBp06bo3bs3unfvjq5du6J69eqlfoybN28iJCQEwcHB2Lt3L+7evYuOHTti+PDhGDx4sEEeg8oH+0LFwb5QJXYMQmRgp0+fluHDh4u5ublUr15dRo8eLYcOHSrzx9XpdHLo0CEZPXq02NnZiaWlpYwePVpu3rxZ5o9NJce+UHGwL2QCwjmckcEcPXpU+vbtKwCkTZs2EhAQIJmZmUqyJCYmypIlS6R+/fpSpUoVGTlypNy4cUNJFsob+0LFwb6QCeFwRqX34MEDGTFihGg0GunSpYvs3r1bdSS99PR0WbVqlTRu3FhsbGzE19dX0tPTVccyaewLFQf7QiaIwxmVXHZ2tqxcuVKqV68udevWFX9/f9WR8pWeni7z588XGxsbcXd3l5CQENWRTA77QsXBvpAJ43BGJRMfHy9/+ctfRKvVyuTJkyUhIUF1pCK5fv26vPPOO2JmZiazZs1StlvE1LAvVBzsC5k4DmdUfMePHxcXFxepW7euHDx4UHWcElm7dq3Y2NhI165dJSYmRnWcSo19oeJgX4gknJdvomJZu3YtPDw84ObmhtOnT6NLly6qI5WIt7c3jh49ivv37+PVV1/F8ePHVUeqlNgXKg72hej/qB4PqeL4z3/+IxqNRmbMmCHZ2dmq4xhEYmKi9O3bV+zs7GTPnj2q41Qq7AsVB/tCpMfdmlS47OxsmTp1qpiZmcnXX3+tOo7BZWRkyPvvvy9VqlSRTZs2qY5T4bEvVBzsC1EuHM6ocDNnzhStVisbNmxQHaXMZGdnyyeffCLm5uYSGBioOk6Fxr5QcbAvRLlwOKOCLV++XDQajaxevVp1lHIxceJEsbKykgMHDqiOUiGxL1Qc7AtRnjicUf42btwoZmZm8p///Ed1lHKTlZUlAwYMEAcHBzlz5ozqOBUK+8K+FAf7wr5QvsJ54XPK09mzZ9G+fXuMGzcOixcvVh2nXKWlpaFPnz64d+8eIiMjUa1aNdWRjB77wr4UB/vCvlCBjnE4o1ySk5PRtm1bODk5ITg4GFqtVnWkcnf//n20bt0aXbp0wf/+9z/VcYwa+8K+FAf7wr5QoY7xPGeUy8cff4z79+/Dz8/PJF84AaBmzZrYsGEDAgICsGLFCtVxjBr7wr4UB/vCvlARqN2tSsYmMDBQNBqN7Nq1S3UUozB79myxsbGRGzduqI5ilNiXnNiXgrEvObEvlA8ec0Z/SElJwcsvv4xOnTph/fr1quMYhYyMDLRs2RLu7u4IDAxUHceosC+5sS/5Y19yY18oH9ytSX+YN28eHj58iIULF6qOYjSqVKmCpUuX4ueff8aOHTtUxzEq7Etu7Ev+2Jfc2BfKD7ecEQDg6tWraNasGRYvXozx48erjmN0hgwZguPHj+PChQuwsLBQHUc59qVg7EtO7EvB2Bd6AT+tSU+NHj0awcHBuHTpEszNzVXHMTo3btyAq6srvv/+e3zwwQeq4yjHvhSMfcmJfSkY+0Iv4HBGQExMDJo0aYJly5Zh5MiRquMYrQ8//BDHjh3DuXPnYGZmukcEsC9Fw748xb4UDftCz+ExZwQsXrwYf/rTn+Dt7a06ilGbPXs2Ll++jK1bt6qOohT7UjTsy1PsS9GwL/Q8bjkzcSkpKahduzY+//xzTJ48WXUcozdw4EDExsbi4MGDqqMowb4UD/vCvhSHqfeF9LjlzNQFBgYiJSUF77//vuooFcJHH32EsLAwXLt2TXUUJdiX4mFf2JfiMPW+0B84nJm49evXo1+/fqhZs6bqKBXCG2+8oT+7tyliX4qHfWFfisPU+0J/4HBmwu7evYt9+/Zh+PDhqqNUGFqtFoMHD4afn5/qKOWOfSk+9oV9KQ5T7gvlxOHMhO3evRtVqlTB22+/rTpKheLl5YWoqChERUWpjlKu2JeSYV/Yl+Iw1b5QThzOTFhwcDA8PDxgZWWlOkqF0r59e1StWhUhISGqo5Qr9qVk2Bf2pThMtS+UE4czExYaGoru3burjlHhaLVadO7c2eRePNmXkmFfqDhMtS+UE4czE3X58mXExMTwxbOEevTogZCQEJjKmWjYl9JhX6g4TK0vlBuHMxN1+vRpmJub47XXXlMdpUJq3749YmNjcefOHdVRygX7UjrsCxWHqfWFcuNwZqIuXryIRo0awdLSUnWUCsnNzQ0AcOnSJcVJygf7UjrsCxWHqfWFcuNwZqIuXbqkfwEwRrdu3SrSMlWcnZ3h6OhoMi+e7EvpsC/GhX0hY8fhzERFRUUZ7Yvn9evXMXTo0EKXqebm5mYyL57sS+mxL8aBfaGKQKs6AKlx79491K1bV3WMXGJiYvD2229Dp9MVuMwY1K1bF3fv3lUdo1ywL6XHvqjHvlBFwS1nJiohIQFVq1Y1+HpFBEuXLsWwYcMwbtw4WFpaQqPR6L8AIDU1FQsXLoSPjw/atGmDXr164ezZswCAH3/8EefPn8e9e/cwduzYfJcVtB6dTofQ0FB88sknaNiwIW7fvo1u3bqhQYMGePTokcGea9WqVZGYmGiw9Rkz9qX02JfSY1/IZAiZJK1WK5s2bTL4epcsWSJmZmYSFxcnIiK+vr4CQCZPnqy/zciRI+XChQv673v37i3Ozs7y5MkTEREBIG5ubjnWm9ey/NYTGxsrhw8fFmtrawEgvr6+snfvXvHx8ZHExESDPdcJEyZI586dDbY+Y8a+lB77UnrsC5mIcA5nJig5OVkAyPbt2w2+7nfeeUc0Go2kp6eLiMjZs2cFgLRv315ERMLDwwVAnl/P8hTlxbMo63F1dRUA8vDhQ4M/TxGRmTNnSsuWLctk3caEfTEM9qX02BcyEeHcrWmCnh1bodUa/pDD3r17Q0Swc+dOANBfuqVHjx4AgOPHj6N58+YQkVxfxbkGX1HW82w3R/Xq1Q35FPUsLCyQlZVVJus2JuyLYbAvpce+kKngBwJMkK2tLTQaDZKSkgy+7vHjx8Pa2ho+Pj44fPgwLl++jLlz52LmzJkAgIcPH+LatWtITk6Gra1tjvvqdDqYm5sX6XEMtZ7SSExMLJPjaowN+2IY7EvpsS9kKrjlzASZmZnBxsamTA421el0+P333xEeHo5FixZh27Zt+Oc//6l/F+3u7q4/0PZ558+fx7Jly/Tf5/WO8fllRV1PWSqrg56NDftiGOxL6bEvZCq45cxEVa1atUze2fr6+mL79u1o0aIFrl27hmrVqsHJyQkuLi7QarX4y1/+gkaNGmHevHmIiYlBz549ceHCBURERGDLli0AgMaNG+Pu3bu4efMmGjRokOeyoqwnLS0NAJCUlAQ7OzuDP1dTemfLvpQe+1J67AuZjDI/rI2MUrNmzeQf//iHwde7Z88ecXZ2znUQrZOTk2zZskVERK5fvy7vvPOOODo6Ss2aNWXUqFESGxurX8eMGTOkVq1a+tvntyy/9SQlJcncuXP1jz1q1Cg5efKkwZ9rz549ZeTIkQZfrzFiX0qPfSk99oVMRLhGhJe9N0XvvfcerK2tsWnTJoOtU0SwZs0axMXFYdq0aQCe7oa4c+cOQkJCMGXKFMTGxhrs8VRr0KABxo8fr3+ulRn7UnrsS+mwL2RCjnG3polyc3PDnj17DLrOhQsX4rPPPkNcXJx+mbm5OerXr4/OnTsb5RnDSyo5ORkxMTFwd3dXHaVcsC+lw76UHvtCpoQfCDBRbm5uuHz5Mgy54TQsLAwA8N133+V4AT1x4gRmzJgBPz8/gz2WalFRURARo71+oKGxL6XDvpQe+0KmhMOZiWrevDmSk5Nx5coVg61z7dq1GD9+PFavXo169erBw8MDXl5eOHnyJPz8/NC8eXODPZZqZ86cgZWVFVxcXFRHKRfsS+mwL6XHvpAp4TFnJiorKwvVq1fH4sWLMWrUKNVxKpwPP/wQt27dwv79+1VHKRfsS+mwL1QcptYXyuUYt5yZKK1WCw8PD4SEhKiOUiGFhoaie/fuqmOUG/aldNgXKg5T6wvlxuHMhHXv3h379+836HEhpuDy5cuIjo7WXzLGVLAvJcO+sC/FYap9oZw4nJmwPn36IDY2FsePH1cdpULZvn07HBwc0LZtW9VRyhX7UjLsC/tSHKbaF8qJw5kJa926NV5++WWsX79edZQKZf369fDy8oKFhYXqKOWKfSkZ9oV9KQ5T7QvlxOHMxA0dOhSbNm1CRkaG6igVwrlz53D69GkMHz5cdRQl2JfiYV/Yl+Iw9b7QHzicmbhhw4bh0aNH2LVrl+ooFcLatWvRqFEjdO7cWXUUJdiX4mFf2JfiMPW+0B84nJm4+vXro2/fvvjqq69URzF6CQkJWLVqFXx8fKDRaFTHUYJ9KTr2hX0pDvaFnsfhjDB79mwcOnQIhw4dUh3FqC1fvhw6nQ4ff/yx6ihKsS9Fw748xb4UDftCz+NJaAkA0K1bN9jY2ODXX39VHcUopaSkoFGjRvDx8YGvr6/qOMqxLwVjX3JiXwrGvtALeBJaemrWrFnYvXs3Dh8+rDqKUVq6dCmSkpLwySefqI5iFNiXgrEvObEvBWNf6EXcckZ6b731Fm7evImTJ0/yY9zPuXXrFpo1a4Zp06bhH//4h+o4RoN9yRv7kjf2JW/sC+XhGIcz0rty5QpatGgBX19ffPrpp6rjGA1PT0+cOXMGZ8+ehZWVleo4RoN9yRv7kjf2JW/sC+WBuzXpD02aNMG0adPw+eef4+bNm6rjGIWdO3di69atWL58OV84X8C+5Ma+5I99yY19ofxwyxnlkJqaijZt2sDR0RGhoaHQarWqIylz584dtG7dGm+88QbWrVunOo5RYl/+wL4Ujn35A/tCBeCWM8rJ2toa/v7+OHXqFGbPnq06jjLZ2dnw9vaGvb09li1bpjqO0WJfnmJfioZ9eYp9ocKYz5kzZ47qEGRcnJ2dUadOHUyfPh2vvfYaXF1dVUcqd4MGDcK+ffsQFBSEl156SXUco8a+PP004k8//YQ9e/agQYMGquMYNWdnZ9SoUQMzZ85EtWrV0LFjR9WRyh37QoW4DSHKx0cffSR2dnYSERGhOkq5+v777wWAABBHR0f5+OOP5cCBA6LT6VRHM2qm3BeNRiOrV69WHcWopaamytatW8XLy0ssLS0FgFSpUoV9IcotnMMZ5SsjI0P69esnTk5OcuHCBdVxysUvv/wiWq1WPv74YzE3NxcAYmFhIQDkT3/6k3zyySdy9OhRyc7OVh3V6JhyX+bOnas6ilHKyMiQHTt2yLBhw8TW1lY0Go3+35Ozs7P06dOHfSHKjcMZFSwpKUk6dOggDRs2lOvXr6uOU6aCg4PF2tpaxo4dKyIin332mWi1Wv1WtOcHNWdnZ5k4caIcOnSIg9pzTLkv9JROp5NDhw7JhAkTxNHRMce/m+e/AgMD2ReivHE4o8LFxcVJy5YtpU6dOnLmzBnVccrETz/9JJaWljJkyBDJysoSEZG0tDRp0qSJfgvai19VqlQRAFK3bl2ZOHGiREZGKn4WxsFU+2LKng1kEydOFCcnJwGQ643N829wBgwYoL8v+0KUC4czKprExETp3bu3ODg4yMGDB1XHMajVq1eLVquVv/3tb7mOKwsJCRGNRpPnH5m8tqgNGTJE0bMwLqbaF1Ok0+mkcePG+W4he/HLzs5O7ty5k2Md7AtRDhzOqOhSU1NlwIABYmVlJStWrFAdp9TS0tJkwoQJotFo5Isvvsj3dj4+PkX6owNAli5dWo7PwLiZal9M0dChQ/PdUvb8l0ajke+//z7PdbAvRHoczqh4srKyZObMmWJmZiZDhw6VhIQE1ZFK5OrVq/Laa69J1apVZfPmzQXe9vHjx+Ls7CxmZmb5/tHRarXy17/+tZzSVxym2BdTlJKSIi1atCjwTYyFhYV06tSpwGM02RciEeFwRiUVFBQkzs7O4urqKmFhYarjFFl2drb8+OOPYm9vL61atZKoqKgi3c/f37/APzpNmzaV5OTkMk5fcZlaX0zR9evXxd7ePt83MRYWFnL+/PkirYt9IRPH4YxK7vbt29K3b1/RaDTy0UcfSWxsrOpIBTp79qx06dJFzM3NZdKkSZKamlqs+7/99tu5tgyYmZmJVquVqVOn8lObhTC1vpia1NRU/X/fFwczc3NzmT9/frHWx76QCeNwRqX3008/Sb169cTR0VG++uoro9uCdOfOHZk0aZJYWFhIu3btSvypytu3b4udnV2uY2jGjx8vFhYW8u6778rjx48NnL7yMZW+mJKbN29K27ZtpVq1ajJ48OAcW8+0Wq24u7tLRkZGidbNvpAJ4nBGhpGYmCjTpk0TGxsb+dOf/iS+vr7y5MkTpZlu3LghH3/8sVhZWUnt2rXlu+++K/WnpZYtW6b/w2NmZiZz5swREZGDBw9KrVq1xNXVVX7//XdDxK/UTKUvpiA4OFicnZ2lZcuWcvXqVdHpdNK3b1/9VmYzMzMJDw8v1WOwL2RiOJyRYcXGxsrMmTPF3t5e7O3tZcyYMRIWFlZuu/zS09MlMDBQBgwYIBYWFtKwYUP59ttvJS0tzSDr1+l00q5dOwEgffv2zfFiHBMTIx07dpSqVavKTz/9ZJDHq+wqe18qs+zsbFmwYIGYm5vL0KFDc2zRio+PlwYNGggAmThxosEek30hE8HhjMrGo0ePZNGiRfLKK68IAGncuLHMmjVLQkNDDf5C9ujRI/n5559l7NixUr16dTEzM5OePXuKn59fiXelFOTChQvi6ekp8fHxuX6WmZkp06dPF41GIxMnTpTMzEyDP35lVJn7UhklJCSIp6enaLVaWbBgQZ63OXPmjHh6ekpiYqLBH599oUouXCMikv+F0YlK77fffsO6devw888/49q1a7C2tkanTp3QqVMnNG3aFK6urnB1dYWtrW2h64qPj8elS5dw8eJFnD9/HgcOHMDJkychImjVqhUGDRqE999/H/Xq1SuHZ5Y/Pz8/jBkzBu3atcPmzZtRs2ZNpXkqElPsS0Vy6dIl9O/fHw8fPsTmzZvRvXt3pXnYF6qEjnE4o3J148YNhISEIDg4GBEREbh+/ToyMzOh0Wjg7OwMOzs7ODg4oGrVqtBqtUhLS0NSUhISEhIQHx+Px48fAwCsra3h5uaGTp06oUePHujWrRtq1Kih+NnldPr0aQwYMACZmZnYsmUL2rdvrzpShVPUvtjY2CA+Ph6Ojo4Vti8VwbZt2+Dt7Y1XXnkF/v7+qF27tupIOZjS6wtVahzOSK3MzExcu3YNFy5cwK1bt5CUlIQnT54gISEBOp0OlpaWsLOzg729PRwcHNCoUSO4ubmhQYMG0Gg0quMX6uHDh3j//fcRGhqKZcuWYeTIkaojVWj59eXIkSM4dOgQBg8eDBcXlwrbF2Ol0+kwa9Ys/Pvf/8aoUaOwdOlSVKlSRXWsQlX21xeqtDicEZU1EcG///1vzJw5E++//z5WrFgBa2tr1bEqlbZt2yIyMhKTJ0/G4sWLVcepVOLi4jBkyBCEhYXh//2//4cPP/xQdSSiyo7DGVF52bFjB4YPHw4XFxcEBASgYcOGqiNVCjdu3ICLiwtEBM7Ozrh79y7MzMxUx6oUTpw4AU9PT1hYWCAgIACvvPKK6khEpuAYX8GIysnbb7+NiIgIZGRkoG3btti3b5/qSJXCpk2boNVqAQCxsbE4cOCA4kSVw8qVK+Hh4YHmzZsjIiKCgxlROeJwRlSO/vznP+Po0aPo0aMH+vbti4ULF4Ibr0tn3bp1yMzMBABYWFhg48aNihNVbOnp6Rg1ahTGjh2LTz/9FNu3b4ejo6PqWEQmhbs1iRRZuXIlxo8fj379+mHt2rWwt7dXHanCuXDhApo1a5ZjWdWqVfHgwQNYWloqSlVx3bp1CwMHDsTFixexdu1avPfee6ojEZki7tYkUmX06NHYt28fjh07hvbt2+P8+fOqI1U4fn5+sLCwyLEsKSkJQUFBihJVXKGhoWjTpg3S0tJw8uRJDmZECnE4I1Koa9euiIyMhKOjIzp06ICAgADVkSoMEcmxS/MZc3NzbNiwQVGqikdEsHDhQvTq1Qs9e/bEkSNH0LhxY9WxiEwahzMixerWrYvQ0FB89NFH8PLywowZM6DT6VTHMnrh4eGIiYnJtTwrKwvbtm1DUlKSglQVS2JiIry8vDB79mzMnz8fGzduLNKZ9ImobHE4IzIClpaW+Oabb7B27VosXboUvXr1QmxsrOpYRm3Tpk35ngg1MzMTv/zySzknqlguXbqEDh064ODBg9izZw+mT5+uOhIR/R8OZ0RGZPjw4QgLC0N0dDTatGmDiIgI1ZGMkk6nw4YNG5CRkZHnzzUaDdavX1/OqSqObdu2oX379nB0dMTp06eVXx+TiHLicEZkZFq3bo3jx4+jadOm6NatG1atWqU6ktHZv38/4uPj8/25TqfD3r17ERcXV46pjJ9Op8OMGTPQv39/DB48GMHBwahTp47qWET0Ag5nREaoRo0a2LVrF6ZPn44xY8ZgzJgx+W4lMkXPn3g2PyLCD1g8Jy4uDn379sU333yD1atXY8WKFRXi+phEpojDGZGRMjc3x5w5c/Dzzz/D398fHh4eiI6OVh3LKAQHByMrK6vA22RnZyM0NLR8Ahm5kydPom3btoiKisKhQ4fw0UcfqY5ERAXgSWiJKoCoqCh4enri3r172Lx5M3r27Kk6klIxMTG4f/++/vujR49iwoQJCA0NhZ2dnX65i4uLyZ/dft26dRg7dixef/11bNiwweR/H0QVAC98TlRRJCUlYcSIEQgMDMQXX3yBadOmQaPRqI5lFIKCgtC3b188fvyYV1r4P+np6ZgwYQJWrVqFadOmwdfXlxeEJ6oYjhV80AYRGQ07Ozv873//w5IlSzB16lScOnUKq1ev5nmpKJeYmBgMHDgQFy5cQEBAAPr37686EhEVA99GEVUgGo0GkyZNwr59+/SX27lw4YLqWGREDhw4gDZt2uDJkyc4duwYBzOiCojDGVEF9OyyTw4ODmjfvj22bt2qOhIpJiL45ptv0KtXL/To0QORkZFwd3dXHYuISoDDGVEFVa9ePf1lnwYOHMjLPpmwxMREDBo0CFOmTMEXX3zByzARVXA85oyoAnt22afXXnsNY8eORUREBDZv3gxnZ2fV0aicREVFoX///njw4AGCgoLQo0cP1ZGIqJS45YyoEvD29sbhw4dx/fp1tGnTBsePH1cdicrBL7/8gnbt2ukvw8TBjKhy4HBGVEm0bt1af5xR165dsXr1atWRqIzodDrMmTMH7733Hi/DRFQJcTgjqkRq1KiBX3/9FdOnT8fo0aN52adKKC4uDm+++SYWLlyIVatW8TJMRJUQjzkjqmSeXfbptddew/Dhw3Hy5EkEBASgQYMGqqNRKZ08eRKenp7Izs7GwYMHhtW2swAADoZJREFU0bZtW9WRiKgMcMsZUSX1zjvvICIiAqmpqWjTpg3279+vOhKVwrp169C5c2e4u7vj1KlTHMyIKjEOZ0SVmKurK8LDw9GtWzf07dsXCxcuVB2Jiik9PR1jxozBhx9+iIkTJ2LHjh2oXr266lhEVIa4W5OokrOzs4O/vz+WLFmCKVOm4PTp01i1ahXPg1UBPH8Zpi1btmDAgAGqIxFROeCWMyIT8Pxln0JCQnjZpwrg+cswhYeHczAjMiEczohMSLdu3RAZGQl7e3t06NABgYGBqiPRC55dhql3797o3r07IiMj0bRpU9WxiKgccTgjMjH16tXDgQMHMHjwYHh6emLGjBnIzs5WHYsAJCUlYfDgwZgyZQrmzZuHTZs2cfczkQniMWdEJsjS0hIrV65E586dMXbsWJw5cwZ+fn480FyhqKgoDBgwALGxsdi9ezd69uypOhIRKcItZ0QmzNvbG2FhYbhw4QJat27Nyz4psn37drRr1w7W1tY4fvw4BzMiE8fhjMjEvfrqqzh+/Djc3NzQtWtX/PDDD6ojmYwXL8N0+PBhvPTSS6pjEZFiHM6ICE5OTvj1118xadIkjBw5kpd9KgcPHz5Ev379sHDhQqxcuZKXYSIiPR5zRkQAnl72acGCBfDw8IC3tzfOnTsHf39/XlC7DJw6dQqenp7IysriZZiIKBduOSOiHN59910cO3YMjx49QqtWrRAcHKw6UqWyfv16dOrUCQ0bNkRkZCQHMyLKhcMZEeXi5uamv+zTG2+8wcs+GUB6ejomTZqEDz74ABMnTsTevXvh7OysOhYRGSHu1iSiPFWtWhX+/v7497//jVmzZuG3337D999/z/NulUBMTAy8vLxw7tw5/PTTT/D09FQdiYiMGLecEVG+NBoNpk+fjn379mH//v3w8PDA1atXVceqUA4ePIg2bdrg0aNHOHbsGAczIioUhzMiKtTrr7+OyMhIWFlZ4dVXX+Vln4po5cqV6NWrFzp06ICIiAhehomIioTDGREVSf369XHw4EEMGjSIl30qRFJSEgYNGoS//e1vmDdvHgIDA1GtWjXVsYioguAxZ0RUZJaWlvj+++/RpUsX/WWfNmzYAEdHR9XRjMbly5cxYMAA3Lt3j5dhIqIS4ZYzIio2b29vHDp0COfPn0erVq0QGRmpOpJReHYZJktLS0RGRnIwI6IS4XBGRCXy2muvITIyEq6urujSpQvWrFmjOpIyz1+GadCgQThy5Agvw0REJcbhjIhKzMnJCbt378akSZPg4+Njkpd9enYZpgULFmDFihW8DBMRlRqPOSOiUnl22aeOHTvigw8+0J/Lq3bt2qqjlbkXL8PUrl071ZGIqBLQiIioDkFEBRsxYgTOnDmjOkahUlNTce3aNTg4OKBu3brl9rgpKSm4ffs2GjduDDOz8tshEBUVBY1Gg0aNGkGrNf73ukOHDsXkyZNVxyCigh3jcEZUATg4OKBjx45o2bKl6iiFSk9Ph1arhbm5ueooZS4tLQ2WlpbQaDSqoxTq119/Ra1atRAUFKQ6ChEV7Jjxv9UjIgDAgAEDMGrUKNUxqIJ6+PAhbt68qToGERUBPxBAREREZEQ4nBEREREZEQ5nREREREaEwxkRERGREeFwRkRERGREOJwRERERGREOZ0RERERGhMMZERERkRHhcEZERERkRDicERERERkRDmdERERERoTDGREREZER4XBGREREZEQ4nBEREREZEQ5nREQGcv/+ffj7+2P+/PmqoxBRBcbhjIgqtPbt22Pq1Knldr/8XLhwAf/6178wePBgrF+/vsj369KlC7Zv3w4A2LlzJzw8PPQ/ExGsWrUKrVq1gp2dHVq2bIkffvgBImKw3ERkfDicEVGF1qhRI1hZWZXb/fLTtGlTLF68uNj3u3LlCpo0aQIAuHr1Kho3bqz/2WeffYbQ0FCMGjUKPj4+iIqKgo+PD5YtW2aw3ERkfLSqAxARlcbmzZvL9X4FKe6wl5SUhPv376NRo0YAcg5nt27dwq1bt7Bhwwb97fv164e+ffvim2++wYQJEwwXnIiMCrecEREpcvXqVdSrV08/1F27dk0/nEVHR+faEtenTx84OTkhNja23LMSUfnhcEZUCUVFRWHgwIGYPn06hg8fji5duuDMmTPQ6XQIDQ3FJ598goYNG+L27dvo1q0b6tati8DAwFzLGzRogEePHuW7PgDw8/ODjY0NNBoNFixYgKysLADAhg0bUKVKFfz4448FZn3y5AmmTZuGGTNmYPLkyejTpw8mT56MR48e5Zu3QYMGiIuLg7+/Pz744AN07dpVvz4RwdKlSzFs2DCMGzcOlpaW0Gg0+i+dTpfjfiKCbdu2YfTo0ahXrx4ePXqEDz74ADVq1MDLL7+MyMjIQn+vxbVs2TJoNBq0atUKt27d0mfbsWMHvL29odFo4O7ujlq1auW6b0ZGBrp06VLsxySiCkSIyOjZ29vLypUri3z7Jk2aiIuLi4iIZGRkiL29vTRv3lzS0tLk8OHDYm1tLQDE19dX9u7dK8OGDZOgoKBcy318fCQxMTHf9T0za9YsASC///67fll0dLS89957BeZMSEiQP//5z/L555/rl92/f1/+/Oc/S6NGjeTevXt55n2WKzo6WgCIm5ub/v5LliwRMzMziYuLExERX19fASCTJ0/Oke3Z/bKzs+XWrVtia2srAOSLL76QGzduyPr16wWAtGvXrtDf6/NezJOXzMxMSU1NldmzZ8u4ceMkNTVVEhMTxcLCQm7fvi2pqamSnZ2d635hYWFiZWUlJ06cKHD9eRk5cqT06dOn2PcjonIXzuGMqAIo7nC2ePFi2bhxo4iI6HQ6cXFxEa1Wq/+5q6urAJCHDx/muF9+ywtbX1xcnNjZ2cnIkSP1y3x9fWX79u0F5pw5c6YAkDt37uRYvnbtWgEgU6dOLTBXdnZ2rmHonXfeEY1GI+np6SIicvbsWQEg7du3L/B+zx7j+ds4OztLlSpVivx7ECnacPbMwIEDZcWKFSIicuHCBaldu3a+t83MzJSuXbvqH7+4OJwRVRjh/EAAUSU0efJkJCUlYfny5YiPj0d6erp+dyMAaDQaAED16tVz3C+/5YWtr0aNGpgwYQIWLVqEOXPmoE6dOti/f3+OU1W4u7vnyvlst13VqlVzLH+2m/LIkSNFyvu83r17Y/v27di5cyf69++vP56rR48eBd7vxWUajQaOjo45ju8q7PeQl7yet5OTE+Li4hAdHY2jR4/iq6++QnJyMuLj4+Hu7o7+/fvjyy+/zHGfuXPnomfPnhgyZEiBj0dEFR+HM6JKKCIiAoMHD8a3336Lv/3tbzk+8VdW65s8eTKWLFmCr7/+GoMHD0a7du2g1f7xEnPx4sVc93k2MN24cQMvv/yyfnnNmjUBAPb29sXOOn78eFhbW8PHxweHDx/G5cuXMXfuXMycObPY63pRSX6veT1vAEhJSUHVqlURFRUFGxsb/OMf/0BKSkqep+PYvn07bG1tMWPGjFI/ByIyfhzOiCohb29vZGZm4s033wQAZGdnA3h6sHxeW40MsT4nJyeMGzcO3333He7fv49//vOfha63a9euCAkJwc6dO3MMZ7du3QIA9OrVq9hZdTodfv/9d4SHh8PV1bXY9y+IIX+vV65cQb169WBjY6P//vkPNjyzZ88exMTE5BrMjhw5kuOEtURUeXA4I6qE7t69i4SEBOzZswcPHjzA48ePATzd8lOnTh2kpaUBeHqeLTs7O/398lte2Prq168PAPj73/+OJUuW4ObNm/oTqxZk2rRp2LJlC5YuXQpvb2/Url0bALB8+XJ4eHhg/PjxBeZKTEwEACQkJOiX+fr6Yvv27WjRogWuXbuGatWqwcnJCS4uLvoteXnd79ljPD9oPbtdZmYmLCwsCv091KhRI8e6ChIVFQU3Nzf991euXMGIESNy3Gbfvn1YsGABBgwYoD/xrIjg2rVrsLW15XBGVFkpPeSNiIqkuB8IWLZsmVSrVk3atm0rR48ela+//locHBykZ8+eMnHiRAEgAGTUqFFy8uRJSUpKkrlz5+ZaXtj63n33Xf2nIp956623ZN26dUXOmpCQIFOnTpXevXvL5MmTZerUqTJ37lxJS0srMFdSUpLMmDFD/7PFixfLkydPZM+ePeLs7Kxf/uzLyclJtmzZkuf9nn2iE4DMmzdPHj9+LP/973/1y6ZPny4pKSkF/h4iIiJkwoQJ+vv897//lfj4+Hyf9/z582X8+PH67x0cHOTq1av675//lGpeX1euXCny71iEHwggqkDCNSK8SBuRsXNwcMB//vMfjBo1SnWUAiUnJ6Nly5Y4c+aMfnddeRIRrFmzBnFxcZg2bRqAp7s579y5g5CQEEyZMsVkT+A6atQo3Lx5E0FBQaqjEFHBjnG3JhEZzPLlyzFhwgQlgxkALFy4EJ999hni4uL0y8zNzVG/fn107twZdevWVZKLiKg4OJwRUamEh4dj9OjRSElJgU6ny/fTieUhLCwMAPDdd99hzJgxcHJyAgCcOHECCxcuhJ+fn7JsRERFxcs3EVGp2NraIiEhAWZmZti4cSMsLS2VZVm7di3Gjx+P1atXo169evDw8ICXlxdOnjwJPz8/NG/eXFk2IqKi4pYzIiqVFi1a4MaNG6pjAHh6MtylS5di6dKlqqMQEZUYt5wRERERGREOZ0RERERGhMMZERERkRHhcEZERERkRDicERERERkRDmdERERERoTDGREREZER4XBGREREZEQ4nBEREREZEQ5nREREREaEwxkRERGREeFwRkRERGREOJwRERERGRGNiIjqEERUMAcHBzg4OMDJyUl1FKqgoqOj8eqrryIoKEh1FCIq2DGt6gREVLgvv/wS0dHRqmNQBde5c2fVEYioCLjljIiIiMh4HOMxZ0RERERGhMMZERERkRHhcEZERERkRP4/IZkhBY3/YcAAAAAASUVORK5CYII=\n", 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OfHw84uLi9JSIiEh7WM6IyODs3LmzwnKmUCiwe/duPSUiItIeE6kDEBFVVb169eDg4KD5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\n", "text/plain": [ "" ] }, +<<<<<<< HEAD + "execution_count": 14, +======= "execution_count": 7, +>>>>>>> upstream/master "metadata": {}, "output_type": "execute_result" } @@ -194,7 +250,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "Dask now has a task graph that carries out the array creation and incrementing by 1 separately in each of the three chunks. In the step where the summing of the whole array occurs, dask plans to 1) sum each of the chunks separately to get sub-totals and 2) to sum the the three sub-totals together. By summing within the chunks the data that must be transferred around the computer is reduced." + "Dask now has a task graph that carries out the array creation and incrementing by 1 separately in each of the three chunks. In the step where the summing of the whole array occurs, dask plans to 1) sum each of the chunks separately to get sub-totals and 2) to sum the the three sub-totals together. By summing within the chunks, dask reduces the amount of data that must be transferred around the computer." ] }, { @@ -216,24 +272,24 @@ }, { "cell_type": "code", - "execution_count": 165, + "execution_count": 17, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 16 ms, sys: 0 ns, total: 16 ms\n", - "Wall time: 17.9 ms\n" + "CPU times: user 20 ms, sys: 0 ns, total: 20 ms\n", + "Wall time: 18.7 ms\n" ] }, { "data": { "text/plain": [ - "0.51095482996711228" + "0.4815693546596353" ] }, - "execution_count": 165, + "execution_count": 17, "metadata": {}, "output_type": "execute_result" } @@ -253,30 +309,32 @@ }, { "cell_type": "code", - "execution_count": 166, + "execution_count": 18, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 116 ms, sys: 56 ms, total: 172 ms\n", - "Wall time: 37.3 ms\n" + "CPU times: user 216 ms, sys: 4 ms, total: 220 ms\n", + "Wall time: 72.2 ms\n" ] }, { "data": { "text/plain": [ - "0.5109548299671125" + "0.4815693546596348" ] }, - "execution_count": 166, + "execution_count": 18, "metadata": {}, "output_type": "execute_result" } ], "source": [ - "# Dask example where the task graph is created first and we only time the computation\n", + "# Dask example where the task graph is created first,\n", + " # and we only time the computation\n", + "# Note how we're using the same array created for our Numpy example above\n", "dask_rand_arr = da.from_array( rand_arr, chunks = (100,100,100))\n", "y = da.mean(dask_rand_arr, axis = 1)\n", "%time y.compute()[0,0]" @@ -293,9 +351,15 @@ "- the *total* time is the sum of the *user* and *sys* time.\n", "- the *Wall time* is the actual amout of time the calculation took to run. \n", "\n", +<<<<<<< HEAD + "The most important output is the *Wall time* - this is the actual amount of time the calculation took to run. The Wall time is much less than the total CPU time because the CPUs are operating in parallel.\n", + "\n", + "In this case the Wall time shows that dask takes at least twice as long to do this calculation.\n" +======= "The Wall time is much less than the total CPU time when using dask because the CPUs are operating in parallel.\n", "\n", "However, in this case the Wall time shows that dask takes twice as long as numpy to do this calculation.\n" +>>>>>>> upstream/master ] }, { @@ -315,7 +379,11 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 23, +======= "execution_count": 8, +>>>>>>> upstream/master "metadata": {}, "outputs": [ { @@ -327,7 +395,8 @@ } ], "source": [ - "# Create very large array that is sampled from a normal distribution with mean zero and standard deviation 1\n", + "# Create very large array that is sampled from a normal distribution\n", + " # with mean zero and standard deviation 1\n", "# Cut the array into 1000x1000 sized chunks\n", "x = da.random.normal(0, 1, size=(200000, 200000), \n", " chunks=(1000, 1000)) \n", @@ -335,7 +404,8 @@ "# Print the size of array\n", "print(\"Size of array x in gigabytes\", x.nbytes / 1e9) \n", "\n", - "# Take the mean on the first axis (indexing is just to reduce the amount output to the screen)\n", + "# Take the mean on the first axis \n", + " # (indexing is just to reduce the amount output to the screen)\n", "y = x.mean(axis=0)[0] " ] }, @@ -352,24 +422,24 @@ }, { "cell_type": "code", - "execution_count": 168, + "execution_count": 24, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "CPU times: user 11.2 s, sys: 604 ms, total: 11.8 s\n", - "Wall time: 1.68 s\n" + "CPU times: user 11.5 s, sys: 8 ms, total: 11.6 s\n", + "Wall time: 3.05 s\n" ] }, { "data": { "text/plain": [ - "0.0052220194816652507" + "0.0031694489330754846" ] }, - "execution_count": 168, + "execution_count": 24, "metadata": {}, "output_type": "execute_result" } @@ -382,7 +452,7 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "A wall-clock time of just a few seconds for a calculation on a 320 GB array is quite impressive. However, a similar calculation on a dataset stored in netcdf files will take much longer. This longer time is because the data would have to be read from netcdf files on the hard disk, whereas the random array above was just initialised directly in memory.\n", + "A wall-clock time of just a few seconds for a calculation on a 320 GB array is quite impressive. However, a similar calculation on a dataset stored in netcdf files would take much longer. This longer time is because the data would have to be read from netcdf files on the hard disk, whereas the random array above was just initialised directly in memory.\n", "\n", "Be aware that these kinds of performance comparisons generalise poorly to other problems. The size of the data, the number of cores available and the nature of the calculation all have a major effect on the performance you experience." ] @@ -399,12 +469,12 @@ "\n", "In this example, we compare performance when there are short versus long chunks in the dimension that we are calculating over.\n", "\n", - "We first define the function, and then check it's performance with different chunk lengths in the dimension that we are calculating over." + "We'll first define the function. After this, we'll check its performance with different chunk lengths in the dimension that we are calculating over." ] }, { "cell_type": "code", - "execution_count": 169, + "execution_count": 26, "metadata": { "collapsed": true }, @@ -423,21 +493,21 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "We first look at an example with a shorter chunk of with 100 elements in the first dimension and 1000 elements in the second dimension. Recall that we are taking the mean in the first dimension.\n", + "We first look at an example with a shorter chunk of 100 elements in the first dimension and 1000 elements in the second dimension. Recall that we are taking the mean in the first dimension, which is 4000 elements long.\n", "\n", "In this case we use the dask's handy progress bar to see how fast the computation is proceeding." ] }, { "cell_type": "code", - "execution_count": 170, + "execution_count": 27, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ - "[########################################] | 100% Completed | 30.2s\n" + "[########################################] | 100% Completed | 1min 2.7s\n" ] } ], @@ -477,19 +547,18 @@ "cell_type": "markdown", "metadata": {}, "source": [ - "In this case the calculation is ten times faster with longer chunking in the dimension we are calculating over." + "In this case the calculation is an order of magnitude faster with longer chunking in the dimension we are calculating over." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ - "While the chunk shape and size is important, the performance for your problem may be dominated by how your data is stored on disk. The time needed to open and close a netcdf file may be as long as the time needed to read the data in the file! \n", + "While the chunk shape and size is important, the performance for your problem may be dominated by how your data are stored on disk. The time needed to open and close a netcdf file may be as long as the time needed to read the data in the file! \n", "\n", - "On account of this file management overhead, if you set your chunk shape and size in such a way that many file openings and closings are required, the file management overhead may overwhelm any performance advantage once the data is in memory.\n", + "On account of this file management overhead, if you set your chunk shape and size in such a way that many file openings and closings are required, the file management overhead may overwhelm any performance advantage once the data are in memory.\n", "\n", - "Ulimately, the right solution will depend on your system and your problem, so you need to experiment with different configuration. If you will be repeatedly carrying out a certain calculation, you may want to process your netcdf files to have minimise the number of netcdf files you need to open for each calculation.\n", - "\n" + "Ulimately, the right solution will depend on your system and your problem, so you need to experiment with different configurations. If you will be repeatedly carrying out a certain calculation, you may want to pre-process your netcdf files in order to minimise the number of netcdf files you need to open for each calculation." ] }, { @@ -502,7 +571,7 @@ }, { "cell_type": "code", - "execution_count": 172, + "execution_count": 29, "metadata": { "collapsed": true }, @@ -524,6 +593,13 @@ }, { "cell_type": "code", +<<<<<<< HEAD + "execution_count": 30, + "metadata": { + "collapsed": true + }, + "outputs": [], +======= "execution_count": 9, "metadata": {}, "outputs": [ @@ -539,6 +615,7 @@ ] } ], +>>>>>>> upstream/master "source": [ "# Create some vectors to plot the output\n", "# Calculate the one-side spectra along with the frequencies\n", @@ -550,7 +627,7 @@ }, { "cell_type": "code", - "execution_count": 174, + "execution_count": 31, "metadata": {}, "outputs": [ { @@ -1336,7 +1413,7 @@ { "data": { "text/html": [ - "" + "" ], "text/plain": [ "" @@ -1351,7 +1428,7 @@ "Text(0,0.5,'Amplitude')" ] }, - "execution_count": 174, + "execution_count": 31, "metadata": {}, "output_type": "execute_result" } @@ -1369,10 +1446,14 @@ "cell_type": "markdown", "metadata": {}, "source": [ +<<<<<<< HEAD + "Dask requires that all the data points for the FFT are in a single chunk, so [you may have to *rechunk* your data to do this](http://matthewrocklin.com/blog/work/2017/01/17/dask-images)." +======= "Dask requires that all the data points for the FFT are in a single chunk, so [you may have to *rechunk* your data to do so](http://matthewrocklin.com/blog/work/2017/01/17/dask-images).\n", "\n", "## Linear algebra\n", "Dask has also algorithms to parallelise linear algebra operations such as the singular value decomposition using the ```da.linalg``` sub-module." +>>>>>>> upstream/master ] }, { @@ -1380,10 +1461,77 @@ "metadata": {}, "source": [ "## Other aspects of dask\n", +<<<<<<< HEAD + "As well as the ```dask.array```, dask can deal with dataframes and arbitrary tasks.\n", + "\n", + "### Delayed\n", + "The ```dask.delayed``` module allows you to create arbitrary task graphs. This is not so useful in climate research, where we typically work with arrays or dataframes and so ```dask.array``` or ```dask.dataframe``` are most useful. However, ```dask.delayed``` may be useful for other tasks, such as processing text-based data in operations that cannot be vectorised." + ] + }, + { + "cell_type": "code", + "execution_count": 32, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "from dask import delayed\n", + "# Define a function and decorate it with @delayed\n", + "@delayed()\n", + "def add(a,b):\n", + " return a + b" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "Once the function has been created with the @delayed wrapper, it can be called as normal:" + ] + }, + { + "cell_type": "code", + "execution_count": 33, + "metadata": { + "collapsed": true + }, + "outputs": [], + "source": [ + "c = add(1,2)" + ] + }, + { + "cell_type": "markdown", + "metadata": {}, + "source": [ + "As with dask.array, this operation has just created a task graph. To execute it the ```.compute()``` method must be called:" + ] + }, + { + "cell_type": "code", + "execution_count": 34, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "3" + ] + }, + "execution_count": 34, + "metadata": {}, + "output_type": "execute_result" + } + ], + "source": [ + "c.compute()" +======= "\n", "We have focused on numpy array-style operations with dask. Dask also has modules to handle doing pandas-style operations with [dask.dataframe](http://dask.pydata.org/en/latest/dataframe.html) or arbitrary functions with [dask.delayed](http://dask.pydata.org/en/latest/delayed.html). An emerging feature is the ability to use dask to parallelise [machine learning methods](http://dask.pydata.org/en/latest/machine-learning.html).\n", "\n", "To learn about dask in more detail, see [this tutorial](https://github.com/jcrist/dask-tutorial-pydata-seattle-2017) from Jim Crist, who is one of the dask developers." +>>>>>>> upstream/master ] }, { @@ -1398,7 +1546,7 @@ ], "metadata": { "kernelspec": { - "display_name": "python work3", + "display_name": "work3", "language": "python", "name": "work3" },