{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "[![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/github/usnistgov/AFL-agent/blob/main/docs/source/tutorials/quickstart.ipynb)\n", "\n", "# Quickstart" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "This notebook demonstrates how to use AFL-agent to analyze measurement data and identify different phases. We'll create a simple pipeline that:\n", "\n", "1. Calculates derivatives of measurement data using Savitzky-Golay filtering\n", "2. Computes similarity between measurements\n", "3. Uses spectral clustering to group similar measurements into phases\n", "\n", "We'll work with synthetic data that simulates two different types of signals - a flat background and a power law decay, both with added noise.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Google Colab Setup\n", "\n", "Only uncomment and run the next cell if you are running this notebook in Google Colab or if don't already have the AFL-agent package installed." ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "# !pip install git+https://github.com/usnistgov/AFL-agent.git" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Define Pipeline" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [], "source": [ "from AFL.double_agent import *\n", "\n", "with Pipeline() as clustering_pipeline:\n", "\n", " SavgolFilter(\n", " input_variable='measurement', \n", " output_variable='derivative', \n", " dim='x', \n", " derivative=1,\n", " name='TakeDerivative'\n", " )\n", "\n", " Similarity(\n", " input_variable='derivative', \n", " output_variable='similarity', \n", " sample_dim='sample',\n", " params={'metric': 'laplacian','gamma':1e-4},\n", " name='ComputeSimilarity'\n", " )\n", " \n", " SpectralClustering(\n", " input_variable='similarity',\n", " output_variable='labels',\n", " dim='sample',\n", " params={'n_phases': 2},\n", " name='SpectralClustering'\n", " )" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The pipeline above consists of three operations:\n", "\n", "1. `SavgolFilter`: Applies Savitzky-Golay filtering to calculate derivatives of the measurement data along the x-dimension. This helps identify changes in the signal shape.\n", "\n", "2. `Similarity`: Computes pairwise similarity between measurements using their derivatives. It uses a Laplacian kernel with gamma=1e-4 to quantify how similar each measurement is to every other measurement.\n", "\n", "3. `SpectralClustering`: Groups measurements into 2 phases based on their similarity scores. Measurements with high similarity will be grouped into the same phase.\n" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Load Input Data " ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "To test this pipeline, we need some data to analyze. We'll use a synthetic dataset containing measurements from a two-phase system. Each measurement represents a signal collected from a sample with different compositions of components A and B. For details on how this dataset was created, see the [Building xarray Datasets](../how-to/building_xarray_datasets.ipynb) tutorial.\n" ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "data": { "text/html": [ "
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<xarray.Dataset> Size: 164kB\n",
       "Dimensions:              (sample: 100, component: 2, x: 150, grid: 2500)\n",
       "Coordinates:\n",
       "  * component            (component) <U1 8B 'A' 'B'\n",
       "  * x                    (x) float64 1kB 0.001 0.001047 0.001097 ... 0.9547 1.0\n",
       "Dimensions without coordinates: sample, grid\n",
       "Data variables:\n",
       "    composition          (sample, component) float64 2kB ...\n",
       "    ground_truth_labels  (sample) int64 800B ...\n",
       "    measurement          (sample, x) float64 120kB ...\n",
       "    composition_grid     (grid, component) float64 40kB ...
" ], "text/plain": [ " Size: 164kB\n", "Dimensions: (sample: 100, component: 2, x: 150, grid: 2500)\n", "Coordinates:\n", " * component (component) " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "ds.measurement.plot.line(x='x',xscale='log',yscale='log',add_legend=False);" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Execute the Pipeline" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now we'll execute our clustering pipeline on the dataset. The pipeline will process the measurements, calculate derivatives, compute similarity between samples, and finally assign each measurement to one of the two phases.\n" ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "data": { "application/vnd.jupyter.widget-view+json": { "model_id": "d3f2e437574640babd6da6b944eba11f", "version_major": 2, "version_minor": 0 }, "text/plain": [ " 0%| | 0/3 [00:00\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "\n", "
<xarray.Dataset> Size: 446kB\n",
       "Dimensions:              (sample: 100, component: 2, x: 150, grid: 2500,\n",
       "                          log_x: 250, sample_i: 100, sample_j: 100)\n",
       "Coordinates:\n",
       "  * component            (component) <U1 8B 'A' 'B'\n",
       "  * x                    (x) float64 1kB 0.001 0.001047 0.001097 ... 0.9547 1.0\n",
       "  * log_x                (log_x) float64 2kB -3.0 -2.988 -2.976 ... -0.01205 0.0\n",
       "Dimensions without coordinates: sample, grid, sample_i, sample_j\n",
       "Data variables:\n",
       "    composition          (sample, component) float64 2kB ...\n",
       "    ground_truth_labels  (sample) int64 800B ...\n",
       "    measurement          (sample, x) float64 120kB ...\n",
       "    composition_grid     (grid, component) float64 40kB ...\n",
       "    derivative           (sample, log_x) float64 200kB -3.828 -3.85 ... -0.04054\n",
       "    similarity           (sample_i, sample_j) float64 80kB 1.0 0.9962 ... 1.0\n",
       "    labels               (sample) int64 800B 0 0 0 0 0 1 0 0 ... 0 1 0 0 1 0 0 0
" ], "text/plain": [ " Size: 446kB\n", "Dimensions: (sample: 100, component: 2, x: 150, grid: 2500,\n", " log_x: 250, sample_i: 100, sample_j: 100)\n", "Coordinates:\n", " * component (component) " ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "fig, axes = plt.subplots(1,2,figsize=(8,3))\n", "for label,sub_ds in ds_result.groupby('labels'):\n", " sub_ds.measurement.plot.line(x='x',xscale='log',yscale='log',add_legend=False,ax=axes[label]);\n", " axes[label].set_title(f'Phase {label}')\n", "\n", "fig.tight_layout()" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We can see that the pipeline does an excellent job at separating the data! Note that we've made use of the `groupby` method of the xarray Dataset. This is a powerful tool in working with complex data. \n", "\n", "\n", "We can also plot the results of the individual steps using each PipelineOps `plot()` method. These methods attempt to 'guess' how to plot the data produced by the operation. " ] }, { "cell_type": "code", "execution_count": 24, "metadata": {}, "outputs": [ { "data": { "text/plain": [ "
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", 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d9scS4mF9QA7CVhDwQGuTW71bYUzj/y376LK4SmJNnBZWPljxXbM3svaa/cE2o+XN+4ueHYypcmvNshDhvGhF8bHIU6blY/EoePu3mtcOxWfsVMjEXN0Y5Hv5DRi73RRjcsZg9RXBPD84e3PaY46eBj4WGBP2pf+VsHsr2byPbXHfX2hpYyoaF6OpgEcjngePxa16n+cg2W851lQXer1GPE0Uz4MiS83wmcDmYwwFfSxRr5BzXxGk+OJ9zK36N7eZbcI4/a604n0QC18gEAgEggxADN9qGika9YKP8UofYxwtHbRQHvg6EVMd2RsYxwBkenMgOxZFK8KMWYttRLasYRXCPuu7qBXNGcoonIFsWWYV3r/iTWPf1f2BUY3H4rKbwIp+eKUZ172in1lMx9d+zG6Iby11StE+uNKMEw7vDexmV3vptyvMePJwxjbH81jXy7cfpGdnLIPz9E0wyu/9crYzU0ADxpxnAKD19eDKN70POiNTAlj5FoOcs6ihr9NXmW3GzBY+NpOWz/ZmIfiuO7bpnq/M4kZFTCDn0u6D/Mx7HwsfXb5wf/HraWU3wJxC5jrfb923cG3v/2KWm6UPfAw704BtYxsQPOsA5zFkOM396iNje1CnwxKH+W8OeQ3+PN+8F//U/2Rn3/F5MbdY1RvimeHRb9wLvkAgEAgEqRATC18gEAgEgsaPmCz4DR/j57vdl0jcQiCp78ouJ9b+fecX/vQeTNPzadqvgxSXbJYCU25pfW9zthGJg19Gt1dYqsGA3LVmG4GYZ7TB0oQPO92I1332rrP9hAg7Fqb+oBjLlMUzvWPDgal3PlLU8B6mK3fy0rlO0t4GqLc+vDvUdV82z0nKQ41+1Grn6U04xhhmGMeEa7DG+xRoP6YocsImT9FL1p8AXNfcvY6pg5zQh0Q2TAG7sqsZTrv3i7nOOXV9H7N/ty16w3k9v422NPa1gpoX13Y93unW/vOyd70P+VaMFIvV5FKlrvK54EuH274/8BJfOXLgvKN6J0IjEyGlDa8XPofiLG0PSYg4d3n/8bgDoMLi4M5HGtu3f/FuUuIt4WZIy+OiPUjWxBof9Ym4hyjamNCoF3yBQCAQCFIhJhZ+wwe+IXKrAt+yrbfj6iZOuVx8u8eKVtza5gIW2AZCq7A7NS0nHvP2JztwW4xtI1u8Ah68/1j5ywck8LSOmORGtHp9dcLxWHjTFbJxxDdwX2oTXkskISL4uO4XAv1OkEnl1w+FkTA1DS09o4pdCORV4Tw8BQ5r1qcSVeIpppieif0JA8GMp/jlwjhGrGudmNuF4EkI5aGFDMdi3g7sO44rnzdcKnf7dyu8c4pfexRvwnHk/cEURPTWZMO1Re+VD9YzgHn9sE34Xd4/vG9L4Fq3iZQ7r0ExWP9lsBTwseIV7QjzoYIkykRzT1Yb8MCEQRrZGDdYc61qofWIWIbUkWvUC75AIBAIBKkQRV2CRopGveBb0qbsLQ5FRWzrEgRKPDXJfXXPkQuAlhBahXziYdwQrVwuHJLqbdi3Hy0DWwrUnc6I3o0cVeVMd8E24LFQyrXC0yZuLVu15jEFMUU9eT5P4inqupsyvH43oI8nYgmqwFjw/VZKJcAetyxnDB/TsQJIheLiLArEgfChyMciG/sK58G0J54hhkVSymCeYP/qMo481aswbB5nbXWe09NjjoPtrUFPFp+fqfhB1tz19A/nvW8uoASuVcfe4y1Esa2+OXnOOvVxFKeCMfdJSGOaIR+r3elWj8mCLxAIBAJB40dcXPoCgUAgEDR+xIS01/CBLuS6EGvwu9wVVQiu9kpw7XJ3IOpbRz3pL0iWwd9WoIuOucvQdRZV/lACd0fngSsQhMEs9yXHumqThIPpgZy06CPaJbvpuIsyVXUvi6jHAW5rrr62/diJ8xZDGpGlLucBEtNi4NrtGEkEKUrRMws+b0NjHMIK6DLGcfNVQkTFOK7NnkxfngMJqLweQDm6REHFDgmAW/jcRkU4AJ+PWKvBIrUBwZGrEKILH8eGh6dSueWzYZz45cNwAJIqkWjIv+8bfw0W/sBwYCoSHw91YZsG5pou/U8rE+fJDuH9A3UfILXTe597FP7weZ2qJsHORExc+gKBQCAQNH7ExcJvfOCWEBKBNoJlh4IX/BW+FN5EkfDCLQcuPEPID4PoBpBwuLgJCu3wKnyEVozWhlYFVgpEa4BbkFat+Th+1y0Mgv1DK7CcnScCpCm0DOw0KTf5B4lPFewa8HS+ZOAWvW4GOzSSLBH8WldAm1pBqh1aiRthXA34ynOC7j72Ha3cqMcjg6Qp1C/n8wjbj6RRTg5MJTYT9T1Qoe+WCArbLA1MK70oVOHXwGf9wzlUCnXrC1lFSRzT72PNvcJPPD3VSvGCS4uV+Hh/TXqcXQmR9wevD25jH/i92iPbfJYsi5opfPlh9/Nta4p4NxcSwucDXmue7mhXVNx1VndMYvgCgUAgEDR+xMSl3/CB8TBuvUThjQ5FKlDWlQvvWGlCkOLC31QxnlUShzgo7C/KcgvVoMgNt4ixr5FIonpcMnCrPpWQC7eYsRIYxvPQqmjGhDcsYgzEedFC8bWxwIqXV6Utk+lLp9sva4tXQIZfr5YRTEfyn5e3C61NFJ9pyyWYIb6PcyYCc5nzG9AbgCIpCH4N0LpEHghPn8P0TLS00cPEj4ViOXhefr3QskY+jeUpYQQATFsrsISEeNqu+d3WICCDx+L8DfT04HyrwuvFYu+YkmjlhzO+A94v+FvkChycnXimLawCz4hyX58Cxj0hrKku9ApbceEnRCjf9KS2jSTGqjzu5kLVN+Ji4QsEAoFA0PhRtQtV/XYnZMEXCAQCQUYjLi79hg9fegy6ytBlvBUIPZzclMrV5FPaw1gRkp242xfbhG5GnsaCbnjcto+V2B9DMhYS/lgKFSp9YSoauhV5yh+6lxF4Xu6yRDIgjhsfm3I8D7iXfe3AdD8MYfBxjCEZC64thn5K2HlbWWQzD2kP3NSpqvTxa7K1Otd7rFT1DDjyIH2uwkc0hHANhllKPfcQpoVuZaQxbJ+VDohgKY14T+TD9nquL++pw6G3wQWcze4LJCjiPRIH1zX2N93rgaEBbGOPHJOYtyqaCEtUAPnRrpCZOC/SMTE1EucuDy9az0ogiW6KuWsDlMUgxbIeEROXvkAgEAgEjR8xKY/b8IFvbRFmkSDJbQPU+u6YvcnYjpeXO3+LlbT4edASbQmWwyZIeeHWJ1qbhhgLEObQSvg6WmT2J6vEKcphVSfDKm8qx5nGhcI7qN3Ox5VXBasryRItxBwrxSon7Wp5raG/XDgJyZpBpTvFD69dEVxbtM44EQ+JXJgut5GnQoJljYSxjeCN4ml5WPecC9EkO69PcGYds8bQ04CpnZhK2BzmhWGZw+RFTwn3YGwKzPmG4ORa1OlHz04pWNqWoIwn1RFrbXCPmZ0C6yclFrNrjd4aTujTYM8WvCe4/n0yYl4281YZpNBknhNGLi4D71oRkPjQa8TnI3oOgp9MoiTfvymW6z9PPSIuFr5AIBAIBI0fMYnhN3yghcxjxJbsLlgoxbECp2Qn/tZXpQq9DBjfw/085cpOl/PE8MEqzwdLAQV/soNKd9wd3sq5XC5ahL4UHPwtxjLRckUvRZRZGWi1+2KbeD1QzhOlkDmwiiLGHC0hFAZ8ZFR44tZo+aDnxCdPaqVNwrWm6G6iDXCLY714Xxw+hQeGt6MAxwUq4OGYc09CANcHvQxcljdVrDUOFiRPQ0TreSvzXCHwHsd5gdcArXjfuFlpeezYKLXtmwe9cswUtyVVptWO9xvnlKAXAu8nHk/Ph/uJW//JvDnc22OlFYK3jV9rrOCXKr12ZyIuSnsCgUAgEDR+xMTCFwgEAoGg8SMmMfyGj9H9hjjdpuhGRJdqbMtWY/uer+bV/j2mzyDzt9ketymkhAWV4H6trnYqUeF3MYUqgN/63GxYcc1oF6RQIYKKhFt++qpZxr6rBgyF40I1Np7GB2M+Y5l5rOF9T3OmxGFfUZkuXlburJg2delsY3tU78Fmm82Tmr9d7P6tdT2g8hy6L7mbG8llD37+irE9rPeptX/PWOwfJ3Sfczc2urjv/3K21+07YsAZ7EAh/9zlcwjun4eWm20e1gvuRTZ2kxeZ373mkNPN8/JxKzBJe0G56ca+f4XZP45Rfcw22DGk6vRrEOA9w/qP8wLPw+8nBM5dnPdzvvig9u/B3Y5xHmf7wdKvX4BkTsXuL0xNxTZNhfl5VbeTnP0Zu+AdY3tUz1Ocqpb4LJlbrOoNURHeEQgEAoGg8SMuLv2GjwkLElY5kmfw5R5JN+jiGdMj8dY6ZdkcY59PxAfJPVaVPkip4gQeJKohiYUTa5BIg9W92kZMj4WPJOWrq40W/V2fmm/3CN4HJAMOZ1YsYSpYejzdEYl4ODbrmL43Eqyu7m9ajBMXzXamjBniK2CBEKYsnavSBfaXp+IhSWoYWO0TF851WvTj5r9lbOMc89VysLwbYNlNWfaaU5gG0xB5tbl2WT85PRSEh5bMcqbloUV/z2eJNuD8xPRZTPXEa809TBMWzvPe45zUh8Q6TInFNESu6Y8ERbzWvqqQmCLbMcvUredW/cRFr0ObsG5HtnMccc7gM4D3367GaD5rRvUzr/X1S9+v/bs91PTA+TeNPUuRSGgR/uoRsXok7VVWVqrx48erN954Q+Xl5amLL75Yf5Lhww8/VJMmTVJr1qxRffr0UePGjVMHHnig3hcEgXrsscfUU089pbZu3apOOukkdfPNN6uCApNg7sNufa354Ycf1OWXX6769++vjj/+ePX444/X7lu+fLk655xzdKfPOusstXTp0t3ZVIFAIBA0Ygs/XodPXUALOK1fTzzxhLrlllvU9OnT1bx55ssnYdWqVXo9POGEE9SLL76ounfvri666CJVVrY9LPfss8/q344ePVo9/fTTav369eqaa65pOBb+1Vdfrdq1a6deeukltXr1anXttdeq9u3bqyOPPFJddtll6rTTTlN33XWX7hwNxJtvvqny8/3CG743eJ6ahilTVuUpTLNhcTn8bgW8HfI37VTpL8gOzWY141O9dXKLEdOv0KL3xagiYAVim3lNe5Xtl8dFCdwCFXV6UZD7gAJG3NthpUmBxZ/DLCyrBjfyGQDcIrPSoKCN3NJrDcIgvtQsBFovGPflHoxQijG3PT8szQs8FtZYeMbGX+HelFhFISHkWKDVa/Q/BYeECzChRW9ZgVnmPAkxcZ0ysNJ5yiiex5aaNa9POcrJRmKelD53Oi2Kc6FF/211qXOe4D2fF2AFP/cVtNKSrWdAlvOewHFE/pPpSQi8843PG/SIWSmlDdDCLy8vV88//7x69NFHVY8ePfSHFnay0k85xfQe0jrXr18/NWrUKL09ZswY9d5776mZM2eq8847Tz355JPq97//vTr11O0eFVobjznmGPX111/XegH2WAt/y5YtauHCheqKK65QHTt2VCeeeKI6+uij1ccff6zmzJmjcnNz1XXXXac6deqkxo4dq90Wyd6KBAKBQCDYEy38FStWqOrqar2Q12DAgAFq0aJFKg6EbnLj9+7du3Y7FAqpzp0763WyZj95vGvQpk0b1bJly9r9e7SFT7GMJk2aaOue3BLUmQULFmirnwaDBoU6TKD/k9ufOnbmmWemfw5PLfpUMbkKrCPO3mItKV2whdBC5kB5T5Si9VluttiH29pEMR38LX+bxvg/8gyy2TgiKxqtlzKMG7I3fPSMcPb19mNVp+2tQQ5Gy0iCpV8ObbDY5QBfESKEr43IK8D+8nmDcwazKLiQDY45Ckoh+Hmj4HGxsjW889M8T7uI2ff1HhlebDPeM8Y4Vrtry/+30bV/rak2uSkHZpuS0fFSk0vAvSMoEoUxby5njB4kfg9s34Z5XweWN84LLqCDcrgxlevMBMFnFo4xSkjzK1+Mkt51aG+qDIai8DYnjwC9VWYxqlCjy8MvLi5WLVq0UDksW2GvvfbScf2SkhK9YPN/Jzc9x7p161Tz5tvnfKtWrYz95D0gw3nz5s1pt2e3WfhkwRMhgeIS9NYyaNAg7Z6guD0NEr29cFBnqfMCgUAgEOxspb14HT7pYtu2bcZiT6jZroI0XloDX3/9dfXuu+9qr8DLL7+slixZoqLR7S/egwcPVg8//LD66quv9AsDufQJNfv3+Bg+Nfy4447TcQmKa9x2223q8MMPdw4SDpBAIBAIBHuqhZ+bm2utWzXb5OXmIIN3xIgRauTIkSoWi6lDDz1UDR06VP3003av1fDhw7UnfMiQISorK0vH9bt27aqaNjULfu2RCz7F6l944QX1/vvv64736tVLuysefPBB1aFDh6SDhAOUCkjo4a4pW2ffPxS8ahpqciMBBsMFvopcG2NNnD4XdPvG4DzchYwuRZ6mRugErk8edkDXphfgS/8+Zp6nIOR2M1qu6Eiqmuk5Tlc7hiE4WRBdnUiIw7RDfiyrWh6IpPCxwjG3QyGmK7RVqNJdLY8LFCXZ70/zAmIo+2021hWwDhZLO2SxJV4H0hOIvuC1N8YG5hTw4bzAeYAEMt4/vMdjqtrZRkxJLAW3NoayeH/KYV7g88GvgR+qQ5jLP8ZbgETKnxcYfkLSHk8XjmL6IlYV9FwwJAtjqMf8bthfE6MeEa+ncMLee++tXe5ksdMiTSAPNq1lzZo1s75PnLZLLrlElZaWaq82EfiIyE4gwvrUqVP1Pgpz00JPBnLN/j3apU9pCvvvv7+xiFMawtq1a/Ug/fjjj8b3aRvd/AKBQCAQ/FxEg0idPumiW7dueqHnxLr58+drAzcM2SmzZs1Sd9xxh/Zm02JfUVGhPvnkE23p16T3kZu/sLBQL/aLFy/Wiz8nBO6xFj4t3t9995223Gvc95ResO++++qYPqUxkNAAvcnQ/4nQN2zYsDqdAy1XbuEjsa45EvzA8uZypfhmjecpZJYDWmqp0j840Qbf0PE8vjSwIkhfKvUcC4k1aL3wlCS0oDpkmWlDCD7mFoEHJDuxf7xKFxoRvIIaYT2r1R4L+a1ntAq596AQrJcwSLnyeVNkCRTBccFC4dcAxxjJTNxiRMlR9HZgpURO+OPiOOmk5XEyZzZYtValRza387FaHkpV47z3WPF4bSuD5ISw7e31W4FcwhgtYJxTvI2lKR7qvv6gB6lTVlNvVTtfH/A8fC6gR4mnFSa7n3h/o/BbFBpCT6TPY4HptabwGMxzmMv8+VAUMa/PJnZP1zfi9WT7EjH9jDPOULfeequaMGGC2rBhgxbPufPOO2utfVrAyfClbLUbb7xRDRw4ULPzJ0+erPbZZx/t6q9ZMykPnzLX6GWB0vbOP/98VVRUtOdb+CS0k52drZWCvvnmG/XOO++ohx56SF1wwQU6P5GUhOhth/Lz6f8U1ydSg0AgEAgEOxOxIFSnT11Aizjl35OIDinuUYz+5JNP1vuOOuoonYZO6Nmzp34xIDJeTTYakfRqPAG0NtK6eemll+oP8d+uv/76OrVlt1n49FZDynq0mJ999tk6PYHiF//7v/+rrXrqKKkSPffcc6pLly7qkUceqZPoTjJLjsetrHgxvEmjeAumnnBgLNeXxoJxKkwV4lYUithEQViDWwZoCVjxMEv8w/2uh8fiAisYm8UxtrwD7J0S44RoeWOLStmxbc9ItfPaYlpeqqAwP7YVN4Tfcss7miLW7PPmWKlnUMzE8AxBG2wpZ/e1zEc+A3hVEPx64rXE/nBPgzXnIS6P+41tcG1y2d1k5/WcxjqW775FS7UuwOdHHhPMQov+q2ozVZB6n247LOufzYVUAj/oXeTeG4ukhvo4KTwnrjbpY3tkeRG8TaVx9DY1/Bh+jZU/ceJE/UGsXLnS2CZVWfokQyQS0Zo09NlR7FaW/kEHHaT+9re/Jd1HAgQUrxAIBAKBoD4Rl+I5AoFAIBA0fsTqsXjOnoSMWvA5mQmvL7q4Mb2M161HzWeLPOeZO0jo2RQzSSzxoNpZOQtDB7w/VZ4UxGRpONzVhq52L7CONgDdjL5qeegKRJKij4CE7krukkOiEPp98RpwlIBaGda45+fFLDXsH5LeeB/wAYM1xrnLH0Mf6MK3VPs8rkrsD4K7Ue2wg/tax1IqFMbTnlM+939CT9GRvoikRDbHMESG6bUm2QxUEqtzvfdTr6wmThc+thHnH3/2GM+oJGEunCcctha9OzSCBEZftTzch/PPTilN7G8VrvCqa/KxwTH3hR0bkkt/T0JGLfgCgUAgECDEpd8IgG/0xSzNowqtZSA3IQJW6AAtbSSX8JrdSJZTrJJZqlrZ/4mauuFtIqblsIaJ3rSFfV/HzN92DW8wtivY2GA6TxG0sYjp9KMQDdYGwJQxXi3PemMHQpXP+4EWVhumnb/9vDE32SeWvqgNkoyQ9MWtHbx2VZZwkJuEhOOG3g7uNQq2mVZSKuuMi6akAvaPzwXUk8c2c8+CJSRUhlXt3PMcrT5MEeNW71boG68MmOy83OJHTwjOe359kIzaPstUm8eqdvOZ5yQHnjvhFJ4SPudQ4x77x+8ZPC6mvaLQEJ83JXEz7bhdlvn8qDBSSKv9YkBwf3HhKxSyUlAwhjvfSkCwLFXNiJ2JuLj0BQKBQCBo/IjCC15jRaNe8PGNvjzISyvFKNnbcSjsi2m53w7LICYchnilXXc77K50BuDntVN0/JW0+NhY4iwAX4w/VSUt3p+trBpZMqBVxSsWYrWyEjgWt4Tsqnx+KWQek0TrhV93ywK20qDM76IVxUVjUsUMDe8UpELa1eRM8JQrTC9FYP984+RL9bTuAeBNoNVuHAvuCbz3+HfRErPSvjBPjx3bd68h0JvBY/TJ6tRXxAsSbYTrleIWMcaOi1zpfXHwnDALGdNPscIn3jN8TuFzCT0w/PmA18Ou9IicBM+ygimY7J7He6JMgResHhGXGL5AIBAIBI0fcXHpCwQCgUDQ+BEXC7/hA127rSNlaSvT+chNeFx0l+ex9KtmyiS5oRsY3abc7dY+sgW+a14uTtSz0vCs6l7Vzv52yQbCTuBOlwtB2WKL/OhJdULiUyq0ZMQ87Dsq4vH9FR499WSkRO7OxGvJXajJ3MLemgrhUud5LGIhjDnvH+rsYyqnL6SE1x1JelgbgfcP07zyQOmRV3rECmq89kSyY3EdeKxmyOtJECrZuG2EeY3hJpyfnCSGcwjHho/jYbnmd/9ViZX14F7MKk9L4ZNQCNeeKwvGlJ88zK8Xth/17zGMwsc8B54tPmD6IobTMOTEF0+sfYCkPZ9a6K5EXFj6AoFAIBA0fsTFwm/48Alc4AVGCxlrqvO3WKzmxVPP0HrG1MCWYAWWxUJOyw5/67PSYymIXFhZi8esii0Na7dViyIb3JuB30ViURn8FiuqoYXM04yw79gf7mkowmsHaUPZ1r3NaiwASaouKALCWDEY8ZxsZ6UoWsQ8tydhb5YmiRZwqrQ8JOmhxV/gsbjQG8XTNfF6cKEqQh4KP3nagP3h91sqEmIQjTotYvQKIeltYG5ie1nUTPssCqcip6Y/b7BWACcIIiHOR5hNpTVv1ZRgni2f+BQhZpD2Iv5Keh7iJz7D0JPFb5kI7MPnQX0iLjF8gUAgEAgaP+Ji4Td8+Oqel0MKC761fhndy9gON2nilIBFa8wXi1oH8VcEj4FjfBzf6LklVwhxNhTpwXgebzO2F8eNp5dhtbVUVlPLSKUz9owpVMWxPKeYDh43AlY8F+mwrC2wnotj5rGibJxR6MRXvzsfrvu3IA6EwiF8XDGuizXFC1n1NYx7+iSICa2Z5f0tiDcpiJfjTDW9Kua1bRtBD0zIXbUOxhznPR8bm0dgjs16mBfeevERt0WJ1ia36AmfVnILuG6V9bgljnIx6P3AsWoVqnTKdCOnRLF5gvtw0UJPEPcsrK02BXEKQQLXd0+kEnbiz1JsI3I7uNgOcgU2AlfgQFV/iMuCLxAIBAJB40c1hDUbK2TBFwgEAkFGIy4x/IYPW2s616Osh8QUk7TDiUXoRgx7Jgu6ijB0gMfiLjCuZ03IA5cq7wOex6fyRogYBDLU0sfUoG1OghWSf1BJkJPTLA3uqLmNrsNS0Nb2pQZxF7FFFAICGRI081h/rXCMpcMfdlZuw/AGtp+HaLB2QwBjUeKR+sS5iyRLHhrJQz1yrLaW4w5voEt/HatFgeNoXVuAT/8fK8AhoZHPi7KYe04kOxZ38Q+AlD2uf4/9TZXCh2m8/L61U0bNa1kG4Sl+7DLUk8d7kdVcQBf4VpXjJQfyNufDcfl1J7TLSrj4S8H6tdQ1IeTE1ShTKSHyvqcKUdQn4uLSFwgEAoGg8SMuC37Dx5jepxjbXOAD08uwWllQbtpvd375eu3fN/U52XveUH4T59tvUL7Nb5EwkRgkyFm1sHntb7AQkWyGFqShf41pNUC44tXa7v9ytrHvqgFD/ecxdppjPGOZeazhfU8zm8EJZmBpI+KlTOQGiFvTVyauHWFkj1OcRCicB1MWzzG2/9jtRLfIi8VcA7CqcEhemrH4VWN7eI9BtX9PXTrP2Deqx6+84kC8XVhH4O4v3vRaa9cccrp7HlSiVyLqFAeyrm2vIc65O3HRXGPX6D6DneMayjMJY0GZeZ/eu8I8VtfshMb94M5HKi9QA99378F3jbkQ9hMJsfohn68h8LigR23qolm1f4/qM8R7f1ngzwuY56iHb9xD0B+smPmXleaYX3LAcYnDNG9m7Lv1M3Muj+k32CnAhPNt3mZVb4jLgi8QCAQCQeNHXBb8hg+0bow3SHzDtaxnrNyWlb7YR5VnWFO9hXNLNiuc/nfhuPgWjpaCt2IafJf/1ipGhtYKWoXst2jpWOIz4B0IeP+w/WAN+NqPl9r+vjsFzjtWOE5VIFuLHgCPhwnHwscZsa6lzzpLNd8AhocGLzaeh98zMIfCqaxnNuapZIZVFTsPeBKwTdyiJ6yIlrllhdGi5HMVz4NAjxMfK9hneb3wHuGeEvDMhTyTN6g07/Fw0wL/vcn7j9cDBZnYsXGc8Pr4+CaIrZjSx8bGuN/TuBd3JgJZ8AUCgUAgaPyIC0tfIBAIBILGj7hY+A0fD680CUqlLPUEXfSYNoRpX3/ud0Lt31MXm4QkdLnybSRF4TaqinGVOEznwXQs/lvUKl9T3cRbG4Crf2H7sU1cDeuqfozUpZSavCxBIkrWP99YIDlrBhyrjPUfb0if7j6eZ1S/U43tqUvN8/iAxKhpyxPXPhvOg2lQqMTH5x/CIMsppR5c8YqT8IbENEx94mOO83xMnwQZMBkmLHzdOcboXeZpVFjhbhgjHRImL53r1OwfMeAMY9+MJYm+4z3xn2pTOfCEJqab3iLmsfAGjhvCSjdzpJoluxf5b/H+wXHD+5qntvrUQXE+3rvCJJSmAp+POBfx/uLnxXFBpT1OvCPcsfoN9luz/WMHmN+duvS1tJ939YmYCO8IBAKBQND4EYiF3/CxMtrC2G7N9OUtoZrAtOjXgSXBCWdo/Vd5qojxmuGEKIjClMGx2meVsN+aJBwUUYkzalRJPN/Y1xbqXa+pLjK28c3bpWGvjx1jxwZSEYrL+Cx87CvWqV/luV4oSIKWKxcaigFlDElH38cKnfULKqDGAmrcc236ooiZYlmKdcI9KMSKY0ASW1OdaGOo0NQ9Xxdr6hcSYvOkOGamRYVyMZXQbdlgbYNSsOz4PEEvQ6iZOcZYC6EkyHP2Hc9bxjwJaNG/vc28n0IF+U4LH8fNhxj0B2O8YRjzZqBF7wOKYnGdng5Z5n2Lzw+e8vttdQvvPY33MZ8nfEwJhaEK57MlFfEOCY5r2bMGBcwUzD9TDA1qhcD16q7qD3FZ8AUCgUAgaPwI6pbM0mDRqBf8dllbnfuwzjTG6Dpmb3SmqfAKcMmqs/FYVDOw5FqCPC5WEeNv4a0iiZSiZODfbZdlVsf7Ompa9F2hPzw+jtW8CuHlvpi9pQfbtnklR31xt3ZgEWPa0MHZprIGrxzGvSbJrFouo4x8jIAJ3hAO9MyLtTG/yEh7z2/bZpvfRUlSDivVrqLCKYWMIlDtI6XeY3GvS4esTV6hGgRPkcMYPo6rT2I52FrqlGolRANf381xHMgsyPcqzL7uBxax1T8mZNMa7if0OvDqcpVwT+PzoQhkoPkzACtT2vcXSlcrZxy7TaTc2b/ucE9jm1Gqll+/diHzeYHwpbK2xDZBWjLOOd/14WOOVSBxntcn4sLSFwgEAoGg8SMQl37DBxYV4axqZFSjNWPVbsc62x5rkx8L35S5ZbO9jdVOayAVa5Xvx/NgsRwUduHnQVZxBeqeMN6BXbvczVbGbYulDsIu6Cnh1iZaTdjmnMAjLARtRkuIN8OyvuC3vD+51riFvGPB+4BzE9toidGkmRViFWMBTgIKFvlq0WPmhwIrnmdvFKpqr+gQjg2/F7ENB2ebsdtV0YQ1WhDK9c4D6z5lNwZej9bgNeLzAq/tVrh/uIcM7yc8Dx6rEofVGJqY99py6V18huF3sQgWf0ZgNgAWGnNlVBC2giWO4P3H46J0MO8Dznm85+sTcVnwBQKBQCBo/Agkhi8QCAQCQeNHIBZ+w8fIvqe6q+UBkcuqCFVmusRvWfFO2hXijHQz1Kj+yU/Es9KmPOAVvNAtan0XdcShEp+zqhZU+Ju23KzqhmNhVR1kmvHYxmkLUxyL632jzjZWFSv9yakTPmHJHK8QjzEWMA8mL5ppbF/d/3T3nMExhop4vFoejvF9n5liM1cfMtQ5TiN7QTU5rJbHUieRGDllmTkW6PI3rgFqqMM9Y+itQ18nLTDFjVCwifd/9qK3jF1D+pzg1riHankKCGNToeogD3uN7j0ofS19rHCXslpetlunPpUmPL9nsiLe3076bKZTuApTSH3Mu1T94SavVcEP5gFWO7yu+/G1f4chTfLqf72fdnVGNLvnrlcNUninsrJSjR8/Xr3xxhsqLy9PXXzxxfqTDB9++KGaNGmSWrNmjerTp48aN26cOvDAA/W+IAjU9OnT1fPPP6+2bdumjjzySL2/ZcuWabclM+SFBAKBQCBwgN4t6vKpC2gBX7p0qXriiSfULbfcohftefPMMsGEVatWqcsvv1ydcMIJ6sUXX1Tdu3dXF110kSor224kPvvss+qFF15Qd999t3rqqafUhg0b1NixY+vUlkZt4U9bOMtJXPPJaKaS1p2x+BUvIY6LkCBppRCIKUhk4+1CMRMkyPH9uK8YRHswbc83Fkgo4+lxVx1iyqBO+iwhjZkM/Nh43BH9TIv+vgWvOlOhMI0SC7nxNuJ3Datczwt3m/lxkknRTl30mrMNKLWL5EBubSJBiVv0hAfnJ+bYsL6nmW1Y7JcG5uMWhfll1ZoHTGH9w+tV4SGJ4bwe1tv0ojwElvd+WQlhniF9TzT2PTj/ZWObt+L7anNet88yPWYoQ8w9CThuNtkx7iSQYloeXj/fb1NJV/Nx9UncEq7pf1rSuZjsPPj84GRinOe+NMtU0sA3DDDH/M7lc5zPluv7m/fTjIWvpD1uSj2oGppLv7y8XFvkjz76qOrRo4f+0MJOC/Ypp5xifPfpp59W/fr1U6NGjdLbY8aMUe+9956aOXOmOu+889T777+vBg8erH7xi1/o/X/4wx/UNddcU6f27FYLv6qqSrs6Bg4cqI444gg1ZcoU7bYgLF++XJ1zzjnarXHWWWfpNySBQCAQCOpjwQ/q8EkXK1asUNXV1Xohr8GAAQPUokWLVBzCNeTG7927d+12KBRSnTt3VgsXLtTbRUVF+gVg/fr1qqKiQs2ePVt169at4Vj4t99+u/rkk0/UX//6V+22+OMf/6jatWunTj/9dHXZZZep0047Td111136zYdcHW+++abKzwfpTA/wLZa/4aI1hqIPmC4XVCVSXLLhemMaG38zjcHkyAmDlQ6xozhrF77hVkG8tRmThMUUFpSe9QEtDtvyYdYM+LPq5oUIvHFEtJj5JUILK+Lxq+FYYO15vPbecYM28mNjGwrg9bkUxoaPozUWwAPB+eiDVbaenddKM0wRu/UXkMl23iPxFI3iFj3hP9WlTn5G1Jp/iTblgGWN6XFWHJgdG+c19ofLHWNSZDb00DdOqdIm8ad8zvF7OllKnxV79xRr2uJJJUShJJ93yvZkxb1t8qXl4bUO12Xc6hFBPR23uLhYtWjRQuWwNNW99tpLx/VLSkqM+Dv9Oy3mHOvWrVPNm2+X8x4xYoS64oor1DHHHKMikYhq3bq1dvPXBWk/VT799FP9lpKVlaX/9oEs9lSgzlKc4m9/+1vtWw0RGejNh86Rm5urrrvuOv2WQ3GKDz74QMc9zjzzzHSbLBAIBALBbnPpb9u2zVjsCTXb5OHmGDRokBo+fLg69dRT1dFHH61d+UuWLFGHHnqo3v/9999r0t9DDz2kmjVrprkBN910k3rsscd2/oJ/wQUXqI8++ki1atVK/00LcY37nYP+/Ysvvkh5vPnz56umTZvWxiMIZNUT/vSnP2m3Bx2r5pj9+/fXrg1Z8AUCgUDQEEz83Nxca2Gv2abFm4Msd7LiR44cqWKxmF7ohw4dqn766Se91l5//fXaCD7uuOP09++77z79NxnJFPreqQv+22+/Xet+oL/TQTQaVdlQSYnHK9q3b69eeeUV/cZC36XFnFwW5AY56KCDjO/TiwaRHeqCm3qe4Kw0ZaXlwcsLaqjfvjKRTnJpH5NEpTAtj50H02rwvKhDbSiUWb5acJzy1C7sD6ZUeVyBmFKFLjqunz99dYoUMUg3w7HhmLp0TvrHwuNAChKmn3FMX2mStYYhsYu7gWEeTFlmphyN7nEya58/hcrab6SXmWM+DUhtI7v/qvbvGcvN1MDh3U9JPy0UruWUZYla5YRCCDFd1neoO+0Q7gkjLRSsmDlfvGdsD+55rLHNmWCTF/lT+Hg4DavwoWb/Q8vMY/HeDe9hEsYs8GuPKXssBRHbr9tVABXwPN/l8wDPazw7kjwvHlqS6N8wmAeYqmo9L/j89FRJtL6L9xrMg+krzPv4yoMTz91wU5NkOfbzt9z3Ij47oP3zzFIbDcLC33vvvdXmzZt1HJ881wRa32ixJysdQevfJZdcokpLS/WaRwQ+Wic3bdqkfvjhB9WlS5fa7+6zzz46XECW/05f8Omkyf72gd5QXn31VdWhQ4ek7MXvvvtOPfPMM+rOO+/Ug0A5hU2aNHG6QfBNSSAQCASCPVVpr1u3bnqhJ+/0IYccUuvd7tWrlwrDS9esWbO0tU4hbFrsiZhHHDfisVEcn9bAr776SnXq1El/n14CKDS+77777hmkvWQu/9oTZ2VpV8U999xT+wKxdu1aTdDbf//9k7pB0AWSCtOWv+580UZiF6Ygras2yYF/6ntS4riQ3oMEHp5egiksSJbBl39uVKHete+36AzAWgBYgYyTgTZB1TCsK8DbgdbX1MWvpU0AxLSbUX1MS3sGs16QdOmrwofnwesxsrd5nimL5zivPaaeje4HbWTWNpI3y+N+K4HPOayghqJDM5Yn0pWGQ4rb1GWzvcQuTnpD4mqqtDxubeM94aughvr3g7sdY2zPWGJ6KfgoXwHpmQ98/qrz2hbH8rwVGC2rl3lZZsC4ISmM9w/vWySf4Rzj8x734XlwjvkIgHg/8XTHGctneQmMeP04cF5gmiEnACKJEn+L99e9X85xknoxhW/aktec42ARMlXDs/CbNGmizjjjDHXrrbeqCRMm6Nx5irmTkUsgQ7ewsFCvbR07dlQ33nij5sARO3/y5MnaiidXP70ckAd84sSJ2qqnFwD6myx7ennY49PyiGFI8Q3uLTjggAO024LcID/++KPxfdpu06bNbmipQCAQCBozgnioTp+6gBZxyr8nER1KQ6cY/cknbw8NHnXUUWrOnO0vSD179tQvBmTR13DVHn744VpPABH06HeUe088OgoJzJgxo5brtken5dGbCaUmfPPNN3qhJ3z99df6BYD2kVABeQhqyIELFixQw4YNq9M50ELmaTi2xWhataWB25uAlmoFvDfxeuQlcdNT0FaZ9dRjWDubVX3bCL+tCNIPaWR7qq1h2lcZa+/285jTIsq2eTxV/xa+y1PCCBFmyeJ5ML5cAp4G/v1ICgsfK5/54q9ocW1kIktokSB3gLcRBX7wuCjeZKaxhbyxWsMKTJW+COC/LY3DPEZ+BvAOeP+xXjym+HXNLkha0S75PImkfX349SDksCS5CkilK7Y4MnCPsFg8Wqb4DODXbyu0oRl4yKJWGqz7uDin0JKNe84bR5uMxf9xTPlzR58H2mykC8NxY+Bx4oJg2H78Lc4p7llYU709pcw1eXnFxd2KoP4OTVY+WeP0QaxcudLYJs0Z+iQDGchE3KPPjmK3WfikD3zsscfqtx8SJ/jHP/6hHnnkEXX++edrBaKtW7eqO+64Q61evVr/n+L6lLYgEAgEAkFDEN7Z07BblfZIE3i//fbTizy9tfzmN7/RrgpK1yNXBpEbyLVBRAZ6GaiL6I5AIBAIBGlb+EEdPg0Uu1Vpj8gKJB6QDCTG8/LLpqZ2XYGutUKmYpVKiQ5d07wSFRJ60MXFXbetIz/53WEATp5pHTF1wpHotTVIuMMKQpCWB0CSokkArPQSlEpiYWeKjuW+hDBKUaTaTU7K8h+rAFXiPCQjnzY4ph2iXjl3GReEYRw9/UWyHCrrYZiBuy+zIRyAFckM1bSQ3w3K209ozkiXm8zeWGOOtgrX3ve58Akroon5iQ57rESH9xufr3h9iuC8PDSHtQFQmQ7TAzlpD0MurcPm9VsXS3y3FZABMTyDc5W3w1KqBBIskh+bs2kTUynCdozZjc8DVActgv5VMMVJDNdUwFLA5xTea0icxHRAHvJsl2WGMDEdkJ8HnzvYxvpE0ICt9rqgURfPEQgEAoEgJQKVEajXBZ/c9S7hnV0BTEsxU7ei3vSXNhFT0IO/lmPaWl10tVNp+BucFjgstrEA+sCxMWYKeKDFwoldmO7HtcsJUUYWxHrkOMYRj1WOVlEoN8d7LLRgzGNhCk+209JB6xktFj7mmDIVCqWfQmWNBXyXW7XYfrS8eSoUirGk8ubwOWV5ElLUTG+XlfBKtI8UOi16JIm1jJheIhQWagUEMgPW9cFc1cT1Kgwq/ARGOBb3NOB1LwG2Nd7XZpuQmAZa9LzNeN/CP5SDt20TmzZF4GFCfyDeMxxIIi21bp9Q2v3hQE9Wy0i5eVR4xnNvCKYDq+pY2vUlIuChqF+EVCZghxd8yid87rnnNLOehAJIX59yB4mMVwMS3REIBAKBYI9GoDICO7Tgk0Leueeeq8l1VN2HqtxRLiEx7h9//PG0Zf7qG5g+502NsSpYZTtlRH1CO4hUdbQxDScvVO6MYcUhlutLs8GqYrbISGK7HOKiUasOepZTFhQtYoyPV7BtyzoGYSZMo+RALwSmJPHzRlJUGLOqcgXu1Cb8rZnaWeWfQxDZ9nksMLUJxzXdeuqEKnZenMfYyACuJ7fqv4+ZXi5M8eOpn1Z74TzeWudW37Guu9sytbgbcfccw2uLqat5zHOSSvQFeTx8btuiPf570eQ3+L03vD94HgSeh7cxVSU687mFHISQ12rnc64K+oOVK3k7diuDPFAZgR0aYxIGOPHEE9Vbb71V67KnWvbHH3+8Zt4LBAKBQNBQENSj8E6DX/BJBOf3v/+9ofBDUrlU2m/58uU7s30CgUAgENQvAknLcyIej+sPoqysTEWwQthuxKieoKvNCUspqsvFS0135j1fz3NX3YJUE4OwBOMULwPCC4wXTytCd3KqalLmcSAkgf01voxV+WLO397/pZkqOaqfqfPuFVy3Kre96tV552NjVSvDymBMEQ/d1Pd+Mdtd8U6fKORM65qxxGyjce2RAIdjDNeWq8CFQVPivgXmeUb1TozFlMUJXX3CyB4wr7FmBRsbrCJ4/4rX/Br43X/pnJs4rkYVOxi3R2HcLu0O9ww79m0L5/qr5bFrHyo024v9m7LIrJPgq4tghTd4f/A5htU04b7m38exQDe2d57gPQ7fNWosYNVHuD5WFUy+P4XiIu8DjkWcVc8kTIc5dWXXk5yEvnELzWp5o3sPcqZyomrivC2q/hA0XKu93i180v8lYRy+6FPVHhL7P+yww3Zm+wQCgUAgqFeEgrp9MsrCv+GGG9SFF16oF37Sw6cavlSTt6ioSMf39xhY9co9Vwprf8PbskE4w1rSaCH7ai2ipYBv5bwd8LZvvQFHK9Kvb+1ro+VJcHtpMA3KsgLjcCyP8DvWYreOxduFgjHokWGWHu6zCEqesUBrDCvi8XHGlD30emE7cNs8D8wZdu0NER5og25zFFK52HlwfqFFjxr4xjXAaweZWyHPnCuNh9O+JzDNENtsIIln0Wyix1JL4dXj/bHuS/TE/RxPZl1+C981yI8piqZYHkL2/VT9496CAOYBXncvGReeYbwuh3U98TwoolSfCFRGYIcWfKpm98orr+j6vV988YV+0JE87tChQzVzXyAQCASCBoMgM1z6WT+nAtA555yj9mT8cf5HxnZhuMIpAlNiCdWYIiNXH3h07d93fGXGocoh3cdnZRSFzfgXVpArZ3K5vL3bv2vG5Noz2UpMOfq+usjY7pC92dnmfBDLwbQbLrGK8eNrFr5nbBdgVTH2Rs/Tngh/OOhEY/vOlWb8tSTexCl1jODV9FB+9dpuJxjbty9/x3kcnAeXHHCcsX3bqred1xmlaFFOtoKlkKHc6hVdTjLbvPQfzhrv1y1O7EtmYfHzntTEPM+gjgO9FuT1y951Xi/LOmPAuYo8iSnL3jC2+XzF745bkhjj7e1I9GFNdUtjX+uIKd16bdfjnVbtzWxMk6Us4j1vftf/qOTXwJaINe/NMKRnRlkaZTa4UbBK31WdE3P59pVvetvE5xveIzhnMEWRp/nicVLN3euXfVL7dwGkro7rnniOEu5ekZgXJSDZa1UKrE8EKiOQ9oJPLvx08X//93872h6BQCAQCHYtApURSHvBpzr1DQ1YuIZLT6JoRcdskwK6oMLsb6Rli7Stdv6Gj+I5aNHjW2zHrJLEd8GqaMVkTwkbmRAKvrF3yv7R2EZrtENWIgvh++oC7xv8t9UtnJKp3MuQbFx5AZl11SYzPdzMH/7BcTXaCBYJlxLGojsYC8T63tzbg1ZepIVZzzufSZ8WQhvWg4XCv6vPy2L+GLcONyt0zke7uIx7XAhH5yTa8eY2kG4uau6N8xYyi9IqygPyzLxmOsoKY3ycCxahRRlqYo4bjg23rttGtngtU4snwTwYKEbVNqvcWRSmLh6lZNeao1WWaaWXwDOBz2W8T/H5EW5a4BQh2hTLd97jKFLEvWfJwJ9heD/hMwwzTlqFy5OKQOnvQpYFv7bts8x7byN4NOsVgcoIpL3g33nnnfXbEoFAIBAIdgNCDVhMZ5fE8ImVT1r6K1eu1Ln3PXr00HK7e+21185toUAgEAgE9YlAZQSydlRp7+KLL1YtWrRQPXv2VLFYTD377LPqiSeeUH//+991EZ09AXZ1rFwnsSYf3JetwVXN01iwXje607krqgpc3HbVOnM/d+mh2y3bQypC1yaSjJBQxtN70D2Jrty2jBgVVFR608mikH7FNdbRpYqiKTiOpm692cYycLm2YRW8MJsMRXssd7onBIOCRZzQGIW0KBxjJFJyFyxe96DSXWUQhU6wolrHLDMcsLAqMa55ISBC/VTmTbHibYykqOzY3FNdDq8t3jM8QxbnFN6bhYz4VRyD8BO4tS2BJubi5+GlZDr8rRjxkIfLkv0WM3x5+A3rWiBwP79n8L7FsbD6x4CVEX31C/C7OHf5ta+C9qKLH9vEn7tbY7lesTD+rPHVjxDsxgV/4sSJatCgQeq2227TkrqEaDSqi+dMmDBBF9ARCAQCgaAhICQWvhsrVqzQMf2axZ5ARXSGDRu2R6XqIZGo1JN6hm/smB7Dv4CWDxJt+FsrJ2olr+OOb7Vu0RHrvOy3eVBNDiubFalKZ5vtFB1z3Ko44QosQqxwZ1ei88TGgGCFHhlfKhRadvy8uZD2hEQurHtuVVzzAC0u37W10vZY/5A4aMmXBu59aNF/W22Ss2j2utqAUqcoZMPvGbQQkYAVZXMV758QyA77NK9wTuF89FV5w7mKaYbcg5HKguR13y0xGYA1z5kVHPFVRUyxP+X9w2STsY3oudrKUnzxnomlaCNa9eZxYt4x594rJCVbMsMMeE80g5S+ekWQGTH8HfKh7LfffnrRTxbX32effXZGuwQCgUAg2DUIpHiOE3/4wx/U7bffrjZs2KAOPfRQbekvWbJE3XvvverXv/61+vTTT2u/O3AgCH3sQmBxiVBujjOWhG+eAcQ6/7wyIbYzvO9pyme+hPJZ7B0LjkCsFgtEhJu402V8cph4HEyfs4rncMsuhdQnj8f+ZbVZiOay/mfAcQP3uMKYP7RklrE9DMYVpWt94LFptC4ng+jL8N5Q8IcH/aH905aY/R3Z/VfuAj7QP18xELw+939uFpsZ2StRPGfOyg+MfYO7HOWdF3wOYXz1oeVmf8rBqrpq4P8Y28Z5yiEdkPM1oK8zlpvX1rpnGKbBPBjZF64PQwhSwIJSM/X23hVmIR5uBVvFtBAeqWCUL0apYJ5aaM1blO0GzoLz2ZHkvDMWznTPY6vR6HYJeWST0VPilpDGZ82UpeaY/7Hz8c7U2xs/M0WVru97irvgF6SMzjMzjXcuApUR2KEF//rrr9f/T6abP3Xq1Nq/qXwuSe8KBAKBQLCnIiQLvhtvv22+pQkEAoFA0GARqIzADi34DUV1bwa4Y8sYmQQJYZg29HXU1KK/9dBE3eapn7+SgsCTPgEEyYP5jHyHhLiWEdPFtbY6z6n0hcdFcLITqqAh+Yer2F3Wd6ix7wEYC1QR86kbXtHPPNbkz2c5STxIFLIImVynHr47qp/p+pwMNdP5WOFvsTb71GWvJSV56TZA/7CN/HriHLnqEDM0MueLRAhpcLdjzDYsnZNuQUL1bbS5N2yCrtzJi191tj8bnoo8HIDfHQ76/xPB7ctT+q4YYPZ9KoQ3+LzBVFVUk7ui68nOsNfkpWZop8giuoadBDIkLGLqKieCItnRTl117+fPqGT3MXfjT15kjik+01qBDj/HOqgZgeBpekgO5OnNhNH9zNDpnSvnOY87dqD53YkLZyV99u3qNL2Qn8OY2Qv+f/7zH3X33XerVatWqSqI5xDEAyAQCASCBoMgM1j6O7TgX3fddaq4uFjn4uflmelfexJGgOXgI7EhYSS+xRTemfRlgixzdX/T6rNMLJ76BMQZi/jkI+0g0Q5JLbwGPBLvsmC72p3uh+QYu9Z8os33f5GwcAkjBp7pPw8j/+CYz2DWZNJjcWIh5nXhWHDyFuybxqwIwsjeQ5zXD/t+P3gwDIsfxhgJmUgeDKLVzn2zF5kVGIf0TVQSnLbE04ZkZE5GTo1vNS3gB1cm5nEya/PqQ5jXBXXpYZ7w64n3z7Tlr3rHnPf/vs9edbcB+hfC5w2Q2u6F+ck9D0hy810fL+EtGTxzCH+LRDyDFAf14/HefGjxTKeHLGWNe9ZGi8SL/fP0x76PzTk1vMcgJzn1T/9+3di+vv+gtFNG565X9YdAZQR2OA//qaee0nK6AoFAIBA0ZIRkwXejY8eOahvIfe6JuONTM4bP47MYV8N40bpqU9zk+l6Jms9Tls5MIbwTd4pfYHwc42E8doZxRASPj6NQBtaW5tKz2OZUQkJczvTqX5hpW3d8MtPZpmRxe58H5r7PXja2eZ9ScRJ4m1G6FK3LKRDD50DpVp4ep3/LrBkcN18sHWP4vXLMGOqQPok654Q7Pk14Ja4aYFpyd82f5b1efJ4jP2MEWIUITA/03SNe7gO0ecbiV5yehasHmvPg/vmvOM+LcWoUYMJ4MreeJyyc4xftYcBrizLJKMDEOUD4W/SiILgsbyoRLM53mLRgpvO5U1cxHfwt/24qESJMuZy4ZK6T+zBugMntmPr5a3XgQj2o6g2Bygjs0II/btw4NX78eHXBBReoDh06qDDkr+7O3HuBQCAQCOqCkCz4bnz55Zfqq6++UjfffLO1T3LvBQKBQNCgEKiMwA4t+NOnT1dnn322+u1vf6uaeJThdjd8LrtUKR9FUNWOE2IKw5gSFva66Tki8Crpc5elqrrlc9FFwZWG3+Xu2AhqY3uAhCPU7Fes4hi6YLEil0GSStFGn9ta72ehAwybIDCFjM+FMLg2LYU1n8sRiF64n7vxl1Rt844Fnxd2hcK4s+84/3i9BX0syKpBUhjnRmL70Z3ONeHx2mGb0a1thHogNRDvTT4WpXBv5UGqqqX0WJ1oRxm45ZtB2hpPC7NT5zAtNOZpo/+xirUcjJoYMHfx+cCJuhjyK4C0Nky94/eFVZEQHiXfVptj5TrO9g5gJUu33j8qP/J5Y/UHwjUNdcGvrKzUHvE33nhDk9yp0ix9kuHDDz9UkyZNUmvWrFF9+vTR3vQDDzxQ7+vSpYuzmN0ZZ7gJ6j97wS8rK9Pyuvvuu++O/FwgEAgEgoxw6U+aNEktXbpUl49fu3atVqpt166dOuUUk89Aae6XX365uuyyy9Rpp52mXnjhBXXRRRepefPmqYKCAv0ywEFVaefOnatOOMHk/+z0Bf/EE09Ub731lvrd736nGhK4ZYdWhGXNwFs6Txkpj3usFbBkkRyI2WW+6msoBoRt5v3B46Yi2nALxbae3Z4RTNEpCm/z9iebVbxCYhCmDVmWN3v7D0N/8LucbBcFCwRTxnwWZA5YbqEc09LJ59XkUggsHZxlEgBXRBN6//nhwJsixq1NbAN6kPBa8/lnVRz0VJNDi6sAxoJfS0IxI4YWhCq850EPgGEhw/XBeeITsuIVCJOCHRuvLXpKuFWP9y1ayzjv+bxAAZlU9yKvCmdXA3Sno1peLvhtK/C2+cZxI3gpuRWPv0MiHj4TeH+RVImpnvxao/fT58FsKCgvL1fPP/+8evTRR3VWG31oYacsN1zwn376adWvXz81atQovT1mzBj13nvvqZkzZ6rzzjtPtW7duva75AH4+9//rh566CFVWGgSzHf6gk8nvueee/TbBVXO42VyCVQ6VyAQCASChoBQPSntUQp7dXW1XshrMGDAAL1Qx+Nxg/BOi3jv3r0TbQqFVOfOndXChQv1gs9x//33q8MPP1wdccQRdWrPDi34VBmvb9+++u9169btyCF2CezUmizP233YG9/jsU+UVK2A2C0/VgXEAluCBG5O4K4BH/fs02DHSpWSg5YQl0W1rAhA60iZM+aLb/sRqDoYZd6PHM+YpqyZDsA4aSGzZjD2h4I4RWH39bOsIOjvJiYdjHOoR7ZZye2rarOSm68mIcbwuRcCx7x1xLTcMN7MU8hQctmqqggWPp9Hdgzf/G6RR7oVq0S2At5LFRtzjOtieiO3nteBQY/V/nxVI9HaxJTFjlmJsSqB2wkteuv5wcYqFT/IlwKXKv1UsXnCx0X/Fr5aATOOe8VSpeLy/oAcjooouL9gfvJxTsVz4c+e2O5Uuwvq57AkUNeiRQuVw7x0e+21l47rl5SUqJYtWxr/vn69qS5E62vz5qY8NoUFZs2apZ555pk6t2eHFnxyJexsUNyCOl9TgW/58uXqlltu0RkBBx10kCY99OzZc6efVyAQCAQZjqB+Dkt6NXyxJ9Rsoyw9KdcOHz5cnXrqqeroo4/WrnwyrqkEPQfF9mktJFJfXbHDQRJyU9DbCL1t0Of7779X33zzjXrtNVPaMh3Mnj1bvf/++0bcg14ADjnkEPXSSy9pdwiRGejfBQKBQCDYmQgFdfuki9zcXGthr9lGWfpjjjlGjRgxQo0cOVL16tVLvfrqq2ro0KGqadOmxvdef/11dfrpIO9enxY+sQWJabhp0yZrH3WiLo0htwaxGKmDNZgzZ44eKNLspzjG2LFj1QcffKDZimeeCXrrHiCxi7vAKsF91BbSe1ZFzUEO5+c7XWe88he6GTFlCl2Q6BrcmxF+1sTMN8OWEdP16XMdogsSK7lxF/8WcI8jGYi7iJFoh8TCqCeEgedBMhq6ciOoZ+5JQcIqY+aBMG0SSYqBk+gUapLnTKnqlGXOkWVR84U0D/pjuDehb1z/Xp+HXwNoPwJDMnszl/9aIJuFIY02gBAMvwZYHQ9T0/g9hCREFfaPeTbbxDmF5+Vpr4WYSgf3j6Ufz+JEeK81Bxd/cYy32Z8GiuDhKJvsaH63BKpgGt+H7+I9zu8ZfJYgeRjDhxF27HWxXCdxUH+XXQOcXxuBNIqkPWOcrfZnO+8JPI/v/t/pCOrnsHvvvbfavHmzNpBruG7k5qd1slmzZtb3r7jiCnXJJZeo0tJS1apVK03g49Vpf/jhB7V69eo6MfN/toU/ZcoU1b17d/Xwww/rhlNe/k033aTfRCZPnlynY1EOIb3FkNu+BosWLdLEBlrsCfT//v37a/KCQCAQCAQNwcLv1q2bXuj52jV//nxt4KJCLcXl77jjDu3yp8W+oqJCffLJJ4ZLn9bGffbZR6f17TILn94wJkyYoLp27ao7lJ+fr2V26f9//etfddpeOvj444/VZ599pmMVt956a+2/0xsQfwEg0ABQOkNdkKq2NEcMKjMh2YSTgXxpXdv3R+rQRqwQ5RZ6QevZ6A90bV3MTNXokLXF/K2nr2hp8/1YkWsTWAroheBWPVpJeCwcx03MksB0v4gyLZJyRqaLojUGbEAkaPLzbgQhIRSQ4VY9kvKiQKpEoiQnQtnkQLf1jFUTfZr2OFaW8AkQrLAiWQnz5qDAikXs4sTPAMVY/CljhvUG1we9b0b7rPQ4KM+N1SnZfYvXHQOEvrS1VKIw/LdoRVWAdwM9AJyAisRcS6wKr58HnGCKcwHnTBWv2Acog5Q9JD9im/jzD/uDlfb4Mw2fm41BeKdJkyZaFIfWN1ozN2zYoB577LHaTDZa6yitjgxnqlFz4403aml6YueT8UyLO7n6a0BrYKdOnXa4PTtk4Ucikdrcv/33318T6wiHHXaYltxNB8RSJFIeKQlhLMNFdMBYiEAgEAgEO2XBD+rwqQNoEaf8exLRIfI5xehPPvlkve+oo47SIWwCEfHoxYCI6zWha/Kic0/Ajz/+aLH2693CP/jgg9U777yjrXqS/SMXBXWmLil6FAagDhIbMV2iA74YpMKYfmalM25JYPoOxjarN2022/vtvNq/R/U0BRMUiKYYcUSoMx3ndduTxBxDubnuOvVYA57JbKKghVXrGyxVo81YGxvaFLDKiNNXm5XarjrkDHeb8DyQejZ16Wxv1S3D8sOYN4xFvKzcmWo2eVmiehdhTI9E5UMExuznrHzb2B7c5ShnrW+r71Yd8Spn7e9pS15z1ryftvw1bwU/qw9sbGKbTc/OX78xxzwKD6/hvYa466BDvN+4njDfpiwzzzO6x/YHXC3YsScvMufUqD5DnN4Ca8xhTk1Z5q6EOLp3ovZ60trzeI8w4JwKwDPC72PkpqDLjM/VZH0yYN0zif6N6j3Y61XhzxK8fr6+WvMTOSTwvJix3LzWV3Q92TnPx37+nrE9uuevnOOGz7955iO5wSjtNWnSRIeu6YNYuXKlsX3WWWfpjwv0wvBzsEMLPjHor7rqKpWdna1TCKZNm6b/jRpPVn66zHx6W6kRJKhZ4ImBSMekfRy03aZNmx1prkAgEAgEbtST8M6ehh2W1iW5QHLtU4yB4vYkHXj88cfXygKmk8tPzMUa3H333fr/1157rfr000/18YIg0IQ9+v+CBQvUsGHD6tTOiQvmOkViMBbYionLEIpjJgP76v4Ji2v84te95+ViJxj7w5gWssJ5HAtFbTBeyeOtOcofM8UiN7xIRxXEzlB0iLcZ65zf99krXtlXHoPEfaP6nWps37bgDWhjtbMeOYq+8HHDIino6Rm35C3lwmG5Wd469ePYtcdrh/F/jJ/zcY5DNA09JfctSIzryN6mxTt+obv9yKbfyCSHCZf2Oc1ZL54wbuEbzvgx9odfT7weaE2PW/KO89ped4jZpsmLzDrv/NojT6JtxPSYWd43ZnlPXmw+DxCcB2JzRrDAj5uZjvci3sdYAIj3IdXzgns/cB5UAB+IC2Zt70OiT/+pNt3CKDuMWT4c/6lu4fXMXb/0fedxxh4K13rpq2n3vT4RypBqeTsUw9+6datW+aHFOBaLqQceeECnzREJj9IJ0gGlGlD8v+ZDxQHoQ3+TxjCdgxiLRBCk/1Ncn4QJBAKBQCBoKDH8Br/gE8PwX//6l043ePPNN3UMnxiFBxxwgM6p/7mg9D4iK9BxibxAqQiPPPKIzgIQCAQCgaAhpOXtadghnwmp4pFVT+kB5Ho/8sgjdTk/qtf7m9/8ZocaUiOpWwMqIvDyyy+rnwN0y7UKVTrd4+UghtE2Ynoq4oy4hlrmmCaFrinzuKaLqwRSZ3jqGrraMQWOu1GxstSGajMk0QZcn3xsCiHFDcVMYjytCFKoysDt5nO1owsc62ij+Af/baoUMe7GzwMhpFTXoGNWIoXxX5XVXiIe7wMKheBxMY3Sl/blS21C0hemReE8567QImgTEq4CIJXy64f9w3uEu7GtCotw3HY4Nso9p/BYhey361mFvqQAch0fO7u2hhn64fc1XrutgT+kxMcKnwcFCupngGgUf15g6iqKenHyql3LoNLbZn4P7QdpupiKy/uP87YNPBvx+hWw+xjFjrCuBU9RLIUxx5BSvSJQGYEdsvBJ4pZi94SPPvqotmIPsejJxS8QCAQCQYNBkBku/R2y8Mmypzq9tOiTcECNMMBzzz33s0QBdjawKhV/80Yr3K5DDWk3zHJAqUwu/Yng1eK2/9Z82/dV7bPIP6GIs83YVyThcElYFCWyrDNAjL0XYmoW9q8C7gYuLJRKntQ+r9s6QxQx68zqD1gg3KInfFvNLRaTzInglncMxtyuwoeWedwtiwxtNKx22IfXEisHGoI4KSxvTHf0NMkC9zRY/amDLCrOKeu8rMllaGmDVYtCQnwb73mUCjbva5R5TZ/GjaI2cXi25IOFzz0nKD5TURfddvQ1e36LFj2Xl95+XvczDSsw+uaF5e0Eg5B7EiySMnj86hMhlRnYoQWfUvJIPCAajeoUOlIIorj+U089pV39AoFAIBA0GAQqI7BDC/4vf/lLHcenankkr0sYMmSIOvfcc/coCx+FKXiBEowlIVCY4vaV79b+fVlfMzXNK5CDgh14XvwtiGV428h/WwfLzbKEUDgIUrXirErh9JWmSAqmjOEbvCHiA2bFtCVwrL5mmp5h6qGoSL5picdLtjpFeeasTKQJEQZ3/6Xf3GGYDEIuY/oM8mgQx70FcVBWlGPa4tnOsZi8yGzD8B6D/POPizeBwNTdX5ipj+g5Gd3PI7yD8X9Wxx7n7bQlZn+GQeoWn2MTFsxxpsDq83DhHRSfgr5PXWrOKX6JRnZPiLxoQP+MewZFeYDLYYnr8O+jiwLmCd5fvA84Z3BOTV38WtoCYCjaY/EbfOD3G4w5HnfGMnPMr+iSELYKNzXTQscuetMtsuS5DwnzTGmWnYqQLPh+tGjRQn84yU4gEAgEggaHuMoI7DplA4FAIBAI9kCExMJv+Ji2ZI4zrQ1TmTDVaV21Sez6U6/ja/+esSyhDqWPBeddU13gVFRD9SuslsfbUQwqaa3Cpgb3VqbYhep4JfEmXkUyTKfzgad5oY57XVTfUDkLwwETF8519qEQU/oAnBDYNbvAqX9PmAY671yxsAIIcKi7P2Hp62lX8/KpDuJ1x3DG1M8TbtJRPUxX9EPL57pT3GCe4zwY0/Nkb8XCe7+YnVZ1vO394eQs87tXdjErZt69wrwXOckUXdNTlppKexzfgspb+4iZXnbVwcc5Q0q3f5EIyyVL9eSpdXxOJEsZxbHhZDsksiLJzZceiMeNwZhzF/jEJYn6HslIb0ge5M8W/C4+/3zETzwuhpjuXfG68xl2R2+zdsptS990qhkiObVeEaiMQKNe8AUCgUAgSIWQLPgNH/iWzrWmq0BEBLX0MZWGE14wZcUnqIJWLVp2mHrH36ytlLc6WOXZ8MaO6T5ezXd4+zesjBR1zi0Ylk+Wk/SV7Ly8D6gJz2sBEPrmJdq4IlrmJZvh9eNWfQHWH4c0L35NqjwpldvPY17r7CDmtGbsmvcRZ0W4cjiPT7MfU88sgh8Q17i1mUpPvi7zAMcmyj1fQDDF7/J5gW1IOf/YfMV7LdXzwmyDX1yLzwscN67Rn2w/9wBsiplqoii+xUmYqZ4HKFzDx6oURLzyItXOVNwIXB+rxj3MKZ5+immUWI2SX0983hXHzPMcrOoRgcoINOoFXyAQCASCVAjJgt/wgXG3oixeuQ1lJ8231BKwjIwa42BVoIXVNisRa89WprW5BWLE+La8NxOQiShTwrIlvIWvY2/pKGqDx0Xrmccv0fpH2eG1bKxCBfleKwLjezz+hxK+4WaF3vP6ztMj22zHRxWJ8xSEzf6Ei5o5j6vPa4w5COBAf33SsygN2iGrNG3hp1BhU2f8ElObLFlh8CS0YlK031ebfQ/DedA649Ymlz3F9hOKmcwtyrzalhxatSzVDtqEwjTZTPQmDtXXiiA+HoJ6G7xOPY5TEZPaxucF3hNopWN/Y2yssK+5IMiEzwBuESPXBj0LfD6i9wbPi33gzwj0kOF9awiApRDMwvv4e8ZhahtJpMsmg/HctSSj1a5DoDICjXrBFwgEAoEgJQKVEZAFXyAQCAQZjZAs+A0f6BLimtWYhoJAAglX3kPdeqxKlacSxy5NQbBC92ypoXFvutI2AYmF92EDkH2QfGZr3nP9bpgGwM0y2lidwr2Hbm4PCQyPhWEW3j904S+LmimKFUHCrVgAoYOgfJvXfWm0F64lEv74tcYqaNg/Xq8A3aRWbYAUxEJzn/+29RE0LbU/D+EKU+18x7UAREOc54YYXR36jiQ2rCOA/TGUHgFYLY+HMyziKrQf7zcexrPaxJ4HyY7NCcRISsR5wq8fJ9Ylu144H3ntB0y1wzllhvyQeAz3SNS8fuVsf6vQthQE2ogzlOMjUe5shFIVjmgkaNQLvkAgEAgEKRGojECjXvB94hkoiqKA/IOEmLqI1hSxN9VySOvC3/qqwCFhx0pBYj9F4Z2U6UoM6O2wvBDc4gKNcVvcwxy3uFFRDdJ5oAIZWjfcqkeLHiviFbD+l8bzvFaej3Rp1eCGGgVGf+tIKuLnsbwd4fStaRxzqz9sbPjfGpBihRr4phfM783h88Kqioa67gDjPoA5ZVe5jDg9V9Y4okUPxzaaGPLVpYdUyLhp0SPpjY+bRfzEWvNQXdOua6+cREOeRmkTZP0kPr7tE+VBL4Q1xrCJtQHC7AvoRcFaCFY1RwYUwapPhGTBFwgEAoEgAxCojEBGpeVxS8FnwSd7g+cWC1o+EYjRlbC3fXyTRrnIck/syBdXQ8uuENq0KlpkbHfMNiVI+WnR64CxtGZBxQ7VOcc3+DC0Hy2DvjmmZb6wKnHeGEzVPLi2/DwFEDdEE8sniYt8DPxta5bCZ1nWgd+yq2AeG7RisZIZ7w96QtAiRG8Ab1cRpLFZFfCwuqGn/dnQZm5tWzKoUOUN9xvTPsWc4r9dFTWldQ/O3mx+GTxqPO0QvTeYasevLcbhcRx9Ne2bY1+hP777GO95fIbxudAyYs4DfJTgfZ1dB7nfPCZShJ7Ggoi76iOhiKWFWp4faCRPbeVjiLyI+kZIFnyBQCAQCDIAgcoIyIIvEAgEgoxGSBb8ho9R/U51upBRYcwio201Fa/u+SpR7Wt0vyFe17TKijjdlcG2Cj+JiiuUoY8uy50qiEByDOqxG+cFNygSrnib//LlK8a+y/qf4XUR+8Z8zhfvGNtDWEXC7U2MpzfG+nqVOolo0xYnKs8lq/jnmwe8ah1heO9Tk6q4oc653p+T4xybEIzxA/NfMrZH9Bta+/dDC83qjMNYGzRQH5/NIZzHf1ltHqsUCGTXDBzqJCwGlVXu80KoYOri2d4x56GF+z9/1Vs5kN8HqOCH99OUpXOc5E6s6mYRC/n95gl1JAWfCxALwbmLIRoe/kh1385YPDPpXPzvgdNvb9wfUvKGgWC+PbTEvH6Xd0lUmAyD8uGtnyUq6WHFTLwncP7NXafqD4HKCDTqBV8gEAgEglQIyYLf8HHbgjeMbV+1LEx/QVzb7YTav+/+Yk6KKmlZaaXcJEsPTCUI5AKSolZFWxrbHbM2e1KQzHHJhdm/iZGbLu1zmrFv3Hzzjd1OSUpsDwCLd3C3Y4ztyWCJc1IVpgYh8YnX3cZKgVateTgPx0ZI6cNa7VOXzk5LqzwZOPnJqikO1trEhYnzDOtlepTGL3zLfx7WLtRBv7Sb2R/ERFaLHlOmcJ5vZXOX6/cnG7dpy+Y458mIAaaXaPLniTYgIRXJqO2zTK320T1/5bRcJy4x5yoS5Hx1BLg+fLL++gSLkDyH84SPKxJB8b7mXoppy0wvin3e7LTrZ/iuta+9yTxONy97N2mdCsKY3ua8eGhJ4l4shmch3uNKzVD1hiAzVvxGveALBAKBQJAKIbccQKNCo17wUciFW4n4ltoqbL6JflttWhKhvNy0U2f423IqOVK0iPkb/SaoWY3eAp5ChiktRWEzpcVKj/F4GTBlh8vyYjwSxw372yunSe3f8zHGDbFBKzXII9qDojc8jdJKuQQuBFrx3JKwPDIQV+T9w/Sr9ax6XLJx5CIkaL1g7NawqoBXgP1D66wlqwK3ttqsRKfgPDg23MLMB68KnjfGJIyxciAC56eRdgjxckxZ5HLTXGAJ25vsWJxngV6ilnAsfr9FYZ6jsBWCyyjjPMaKfhvhfuPPD+yPJTPM5iOOKfe4ENpE3GltKE6VDymLvE2YnlkC6YxW2is7Fnqy8J4vZ/1rBWPMqzHWN0Ky4AsEAoFAkAEIVEZAFnyBQCAQZDRCsuA3fPh06tENii7JfHDT84pePqUsm8ATrhOxC4k3PhU47gJDN2EFEHZwLAx3MwwTuuGwOpa5L8urlrekKkFuiqfU0gftbzZW6I7FcTWuAYZRwM2L149fE6vGAqRFcYU17o5MT72x2j0PQJmOj6uVkqj816uU/RYJjFaqJ4BfA5yLqIvOr4l1r0EoxK7cFnL2z1cHwqcPr4/lqY6HwJAZvydwflkV7mCOcUJwDjxb7EqB5vbGIM/5XEKiMR8r67kDISZ8XvBjoQvfR2jGmiRGbY0kc6qMfT+uUqQk8t9ZJNgdIzDvaaS9yspKNX78ePXGG2+ovLw8dfHFF+tPMnz44Ydq0qRJas2aNapPnz5q3Lhx6sADD6zdP2/ePHXvvfeq9evXq/79+6vbbrtNtW/fPu22+J8kAoFAIBA0coSCun3qAlrAly5dqp544gl1yy23qOnTp+uFG7Fq1Sp1+eWXqxNOOEG9+OKLqnv37uqiiy5SZWVlev+CBQvUNddco37/+9+rl156SeXk5KjRo0fXqS2N2sLHt2WepoKEvqhFFDIt1VBhU2e6i/Um6pkQqdL/uC4/WoxI/uHkGbQaWke2TxKXdca/jxa8t3oeEHR8+veY3mRV/gJrzEdwRAsxVQUvA9Z5sjza8yZxCIVeuFWIWuZlYPmgtr5BlAKyIwoJGdcaxtz21mDaVOL7G1m6ou4PiiqB94OPq+X1ssicvFpeyOuxQIvZuDehf2i5+tLW7AqSYPEbNTDizkqOOC+wUhumN+J5+X6cx/nwW7zf2kdK0yb5Wgw63n5oM2rR82tUBsQ7K0WR/TYPaoWUqty0vSpWLYc8837i/cXnWzFWvaxPBPVz2PLycvX888+rRx99VPXo0UN/aGF/6qmn1CmnmCmKTz/9tOrXr58aNWqU3h4zZox677331MyZM9V5552nHnvsMXX66afrvwljx47VLwSbNm1SLVuaadguiIUvEAgEgoxGqJ4s/BUrVqjq6mq9kNdgwIABatGiRSoOaofkxu/du3eiTaGQ6ty5s1q4cKHe/ve//61OOimhYtihQwf1zjvvpL3YN3oL35LAzWZvtdX+eGu83Hw7nvRFQlL2hoFu6U+NXHfMO6io8FpCmJ6VLqx0pBRymHWJe3L50jlfvm3sG9InIUiUKkaM8btHF/lleg1pTRgnS2a4jF0v6M+0JbO9QjxGDBksqPvnv+L8rSWtW4drYMxFpdR9/37ZKa37yEKzDZf2HOKVSeUppCi/PG3Zq97LdfUv/iexgf3Ducv4DSgjPG3Ja8b2VQOYZK/+Qcg5xvhdQ5K4SSLNUwP7t/w1Z/+4jKs+FvbPI+WMsskIPuYoCWvJa6NsL5cOzof+RU2r9/75r7rncar5yGWuPbF0RKpnydTP4Vp3Y9K6TU0P058+MUWvxg4Y7Ew/xXGbu141uBh+cXGxatGihXa/12CvvfbScf2SkhJjsaZ/p9g8x7p161Tz5s3V1q1b1ZYtW1QsFlOXXHKJfpGgl4Nbb71V7b333mm3Ryx8gUAgEGQ0QvG6fdLFtm3bjMWeULNdBS+RgwYNUq+//rp69913tVfg5ZdfVkuWLFHRaFSHBgi33367Ou2009SDDz6of08xf/QUZKyFP26+KUFahgxshghcxUKI5Y456Ojav+9YPdcbn+TnwdgfsmMRpey3XPAmaeaARxjky2gbY7tz9ganSAeyezGG3yM7UQBjcOcjjX03Ln7bG9ssYG1GTsIfOicsAcKfl5tElq0shofXx5LwZRwM/O6VXU40tm//wpRc5nwOHPMrDzrO2L5l5Vse0aQqp9xvKnCriHDz0sR5/nAQtJ+1AdtPWBdr5pRUvvJg8MgAblkx1zkPOPsaGdgYq8Vxu3/Vq87Y7cjuphzubUvnOhnkX0X3MvZ1yDb7N+LAY51W76SV5vwqiTdx8l5SZddgjfgSj0gMMtWtzAmGqCX3W+W8fpNWzvUK7yD4fc6fM8med3xOpZJYvqqrOT9vWvZx4pyQETOu61HG9r1fztyh+6WhpOXl5uZaC3vNNjH2OY455hg1YsQINXLkSG3JH3rooWro0KHqp59+UpH/zuNzzjlHnXHGdk/o3XffrY488kjt8ifGfjoQC18gEAgEmY14ULdPmiB3++bNm7XFzt38tNg3a5Z4Ma/BFVdcodn4lJ73+OOPa4Y+pd1RWCA7O9tI0aN/Kyoq0m7/dLFbF3yKV1x11VXqF7/4hTr66KPVnXfeqWMbNQSG3/3ud6pv375q8ODBegAEAoFAINjpCOr4SRPdunVTWVlZtcQ7wvz581WvXr1UGEoSz5o1S91xxx3a5d+qVStVUVGhPvnkE23p0zGI4U+x+xoQO59eJuqSh7/bXPpBEOjFnt5yKEWBCAk33XSTHoTrrrtOuzaIoUj5iG+99Za68sor1Zw5c1S7du3SPgfqvKPLlQPT2tA1HWbpWaidHwOSDhd2QXdYPmzzSnTb21zuTD1DFzJ3rWFqFmrpY9Ut7qLE6nj7ZRUa28ui5c40NXTlIngfeNWzZMfCNDfuUk5VRYyLg1g1FKAmd2uPLvoWeHtHklhrVv0LX/Qxja1DViLdKqkuOm8jnIdXY8NxQuEgdLG2jvzkTMc0yGW6E+ZY8bTEwjCKU0HqKjs2zj8cN8wmK2TXFolqqKmex+6vjXFzXhfBPc3vUw3m0sc2KrXNef3ywe2O9ymmkOUw3Xp099s1ItBFHnL+Fr/Lrx/2Jy9UnnaVvhz4LR6Lz1VsAwLnJ3fjYyqn/d3EsQvheZ1KpKwhuPSbNGmiXfBErpswYYLasGGDTq8j47bG2i8sLNQWf8eOHdWNN96oBg4cqNe+yZMnq3322Ue7+gmUf0/76SWiZj/9zZn9e+yC//XXX+u3no8++kizEwn0AjBx4kTdQbLwn3nmGZWfn686deqkPv74Y734U3xDIBAIBIKGoLR344036gWfcuabNm2q17CTTz5Z7zvqqKP04n/mmWeqnj176u/dddddmsF/+OGHq4cffrjWE0B5+8TWp4V+48aN2jM+Y8YMnb63xy/4rVu3Vn/5y19qF/saEEGBchRJZYgWe567yN0i6cBX89muSuUWY0mV1obn4cSvCrQCwYrFt3/ejmyQu0SJS14NC4VP4ikESvjb/8HZ5lv3f6rRMnWTgTbG850kPQ3WvRywGFG2thSEQ8w2wD44FCd2WdcOUpDQXuHWjEV8gtQm3kaLOGjVDfcL5vjml0+gCa12S4yGW2fgCcH+KEi54t6CCngIWl4w9l28dpjKhTC8HZhyCShlu5FUaQn+gJuUP8jx/kFSIm8TejewuhyigB0LPS5Y1R0tZp/YTrlnH3qMuMgVIRtmOp8n6K1BbxW/3/LgnrYqb8J9zMm51ndh/nE5Xby2sV0YcQ7Vo5Y+WflkyNIHsXLlSmP7rLPO0h8Xzj33XP3ZUey2BZ9c+RS3rwGlFjz55JPqsMMO026ONm1MljnFNOpCThAIBAKBIC0EKiOwx6TlkZti+fLl6oUXXtDsxGS5i5jekAq+VBpbitaMH62KtnDGnuw4W8xpyaH1hTWssSgHj6Fi8Qusb80LvaAkLMbW0RLikri2HC54P5j1hmIenHOQjHfAx9myZMAa41YSeiHQGsMx90qSggWCRTo4MI0S68fz2C3aH1hMx/beRJwWFlrERpwexhy5KHgeHoteU23yMVBMx+fKRAvSjoEn5lxz8CQE/yXfuo7lA85VvN98fQ9AqIan5SH3wT5v4jxrY+b1wPiy79ri3LQteve4YkEfqyAT41ygRY8FtJDfwMcVvUT4/OAeM3xmWYA5xed2OXAfkEPCnw8Y77e8evWIUD269PckZO0piz0VFqAqQERGoNxFimFw0GKPeYsCgUAgEPxchGKZseDv9jx8Ku/3t7/9TS/6v/rVr2pzF3/88Ufje7SNbn6BQCAQCPbUtLw9DbvVwqcygcTEnzJlilE5iOoAP/LIIzoPscaqp9xFIu7VBejmNYko1V53mOVKY25hdOeh25676ZG0gqmCWFebu+mxDVir3Vd/vQJIXwNBu31FNKEqVhj2p/+hip+PXIYV4vg4oxsbNccxdSvqcSUioYe7IK10Hit04Cbi4bhhOIC7Y61UQTwuXFtv/XiAMW+g/anmXxnrj6XsmELn3ddGdEXzca5E8hzAl9qFpEpbrZETMrFOfThtdzPeixh+4v3B46J7Gcmp/PsWaQ+2MaXUF2KywOZCNgw5pgvj9eLXE8NCmFLKycZ4P+F3fdUccYwDi+DnJlJbVUjrE0EDXsUbgoX/1Vdf6ZSCSy+9VC/kRNSr+VC6AeUfUjoDlRKkxX/x4sXq7LPP3l3NFQgEAkEjRaiequXtadhtFv7bb7+t9YKpCAB9MFWBXgao3i/lJ+6///7qgQceqJPoTqpUuw2xRH17QjOwvL9H0h4TB9kYM4VCokC845rc5ZC29lV1S6+lwC2yVGkpXNu8VJn8hqOB7vAPKHSWF8pxaoqHwbIrYX1Aclkq/Xg+5iWxfG9t9m+jzY3tVmwcEZjCU6aynf1BIJGNe1nwnEgyWlOdaGNbVsec8F0MCHIAIy0KUi6x+p/RBiAOroO5i3rl3DL6FucxjDmCk6zQ+8TFgJBUidcD0/2+jhY524hV3pBQtoZdz1Zh8/pYwkJwLN5fnBdIbP1PzJx/vjTXtYHZn7aRLU5LFT1bX0XN69eWCTSh147XRcCKct9GzXutHEi+HbISbUJPwzqYq3hePj+3mi1Q62CcsLIgn584N0MF5jOAP0uLgDi9ttrsey9Vjwga8CreEBb8yy67TH9coEWe0vQEAoFAIKhPhOpQAa8hY49g6dcXMM2DWy/45olvuJ1yzOpyvK44von6UnS4tU9oqcw0Nh/QerHibkEsaZpdMou+LZNbRaSK55XHf3IKxGDaDVbd4rH11tmbjH1BlXkNDs42MzO2sFg0CuJgiqLB18D0K4hb41j40jUx5tgxy2yj77gIb7y52px/PPaJNe1xTvm4Ku2hvTjmCH7eVilkk7lVj7LICuZJuyzTTvRxGDBFjB97eZVJ3O2fu95fe57ft9AfjC9zSzsHRGtwjH0pv6k4Fvw8yFEohvupPfMcbD9Y3OlxaQvSuj7OBZdfTi7E4xbpQU4PpuryZ4B1P5WZbWybVe5MSfTdazsdgVj4AoFAIBA0fgQqIyALvkAgEAgyGiGx8Bs+7HSYqrTc8Mn2B0zlD/dhahp3Y6dyy/s0/TGFbwOQ3o7MCzvV8sIqx1s5i7tj0YWKylrcnY6kKAyFYBUxnu4Yi/tTtzCNzTguhFFQhZCrAVqAmxnHnLtvt8K4oWuazxN0CadMReN1BcBljG5RHioJgeokkkYjngAkXlusjmen/LmP5dP3t0qEA9HQ5yLHvuNc5ameWAWyAtMBUUmQkdxQ1TIax3TNqLMCJtaMwGcAr4yISoH4HMJ28GudKrzmO24EiKDWfnYsVLX0qYfi9eBkYQ1r7ib2t4TQG96LfN5gGh7e4/WKmCz4AoFAIBA0eoTEwm/4QIELbrmWgLWC1jSmrYQLmzq9AajRbdTVhrdutJ4xdZBr+mMFMm7REz6qSFhNRZG4VxMe06a45YeeAyQD+eCz6FEMBC0FTHlDqynKrQ64H9sCSWwts6rQUsBUQrRUObEIyWdYv5sTmND6QtKR8miDR8HixfO0y6pw1y+A6+PzWPyHpREmOw+SMPk1QA9FRJnWZwmrooiiSVgBD601fs/g9fHVSQjDuFnV8pS7HTgvmnmq1qFnDmtGILh4Dnoz8DlUAp6uAqalb4v2mOfhY4XXHYW5fN7EVKmd/PogaQ+fLXgfZ3sqB4Zy3Z5HHKfwrlyEA1nwBQKBQCBo/AhkwW/w8NW/LoAq1alka4NtkOfG8D0IRPC0G0xLwbhvDPavY/HZw3LNy7OkyrTs2kQSbdwI9brxrRxjs9ziKkjBK0BBD44SSCPC/nIr0JIChlQ0tLz59UKraRNUM+OiKj7J4e3HgpSqUMQ5ZzCNzWgjPCPsin5oQXoaBefh/UPeBFpnCJ5+VoApVGDRoyXOvRCpLKwyNi/y4tXO2LnetCxzd4qibx9KH0cD8MiAt4CjJGbeI3lgUfqu5fcgNoPCSZ1YSil6uXJY+myq/qbihVjXz9NmXyoheix8ImXIj0EBI/RAlbJnUdvszWmnhSIPZBN4HusVcZURaNQLvkAgEAgEqRASC18gEAgEggxAIAt+g0cRuKq5y6gCUmM6ZJmuwRXRHCcxBVNaikAhjitcoQa3z12Jbvx/VZrnaRtxV/hDgg666HykPQxnIHnO5yLHsYh5KmshCRGZXr7qWJg21BzcsTH1k7sqXwpwgpJFMgIXMf9uS6gyuCZmzhl0iXurf0EaWz4jctVV0Y9fv2Jw/2N4QIEOOp8XSMRDlyt3C1vthS/bc8p9jXykPax1gN+1XN4stIAufLu6XMSZOoeKd9h+Th7E50429L0Y7jckzJnH9ZPefCExH5m4GFI7MX2Oh+byoD9YYwHvEX4sDG9gXQh+/XC+oaJkvSKQBV8gEAgEgsaPQBb8Bg9M2eGWbNQiqVR4STlxpgGN1mYZCHjwKndIeEEBmb455n606jmKgXSEtQJc4hfbv1vlJO2h5WnVeWdWH5JuMN0KyVmlLA0Rj4tESCT8cS+FRSQEq4n3Ab0bQaXpvUFiFLfs0GOBvzWsqHjUSwbEdvD+WWNRvs2ZvhnfhlXqslOMeWKe5IMVy+dxMoufp2iiZjpavRx5QEzjQlXJ+htm20Glu7Y8nncdEGR75BR7z+uzeH1z1yJ2Qt/LgKzKPRjoEbOEahCsu/i8QFElPk+wmmaq+5h7HvF5gGmI3NNjpQrCWMR/KktbBAuvNT/2RkhrxfS/ekVcZQQa9YIvEAgEAkEqhFCBspGiUS/4GDfk4joYL0JBHEt8hrl8CuHNE63NGLcUILbZI9tMNVkWNS2uPBZT9VWwwv7h2zxPmSK0Df3ktGox/uqNOUK6FQJjqhw4bljFDtvBpXjzUlS34BYYWnJYm70IzhNl1ilPi0yWcmQd28MrqMR0LNZdvF4I7oVAaV2MEaMnq4zNP0y5tKrJeUR98mH+FcM9wi1ivJ9C2dle/kmVx4XKq8fh9SqNV3r7bnMUQmlV6CO0jiSubTmI42DcGjkzPAUz5bMEwD02+F2rzWwu15UrkM2uFwpXYX95vB8tfOSQ4Jhbc44hiCKvIO70KNWVi/OzEBeXvkAgEAgEjR+BLPgNHijlyt8Yy2OmBYJxt61g6YXz851vzohW7E21Y3ahVzxnKwjm8LdctOjRAuZSrmhxFEDsFoV5eLwPJWHxWJwPEMrL88aPUezDB5R5RcuIx9PxWrYE/sLKaGKcy1FaF5jNa6tRpCjmjINySeVU/cN9KBXKxxl5BKF8c7752o9cjhhYYDz2iSIp4aYFygfeB1/hFsK6WCKeHlFbvGzsdTH3vRiCNqHVznkgyK1BT0koF+7NLC6qZO7Da7COXR+M4ZfCb+PgneIyyrboVeC9F/n9hv2x+5fjFInyFT5CS31NdY53DvlEibbC8wLnLp8XbSNbvfOPtwnHrS7Pkp+NQBZ8gUAgEAgaPwJZ8AUCgUAgaPyIy4Lf4IEuIk6siYILH8lmpZDywoHuPkTHrIR7+dvqhK4+Icx025O5znibUxG7zFS0iFdIA1PEuJsRaWhW/W6Paw3HDd3APBUIXapI2kMXaz4TtqkCFm0UxgbTzwzAb30COJaWuefNH/tuVzpzXz8UfcGxMICkKCAO8loA29vFQiEgBmSdB7Z5GAVd0egy5rXpLbJm2E/uNMJVcH2QAMjrTWBaa6p7hLcjVY0F3l9Mw8NQAt4T+dZdpNIOjfjqL9hiVWHn9bDFjardYjp4D8Aw8uuJ87oixbLhExLCuWz+Lu5NP61XBMLSFwgEAoGg8SMQC7/BA98YOSkMrX9MQUIE7A0QrZmDs5s6iXlVKtdrneFbOm/zV9EiY1/7rK1pp6JhRTWUqTRT+tBKN9tkVFwD4QzLwoL7hle5s6wKqJaHFfE4iQoRAYuKW36Y/uer0IX9RQESOy0v0YdcsNy2oCXkSeVCcRkF6Ur8+qAoD5I3C1W10ypEq88aizo86FDohfcHrVhssy9d0xZgUs7fbgQyLaaxoUhRiEntpiLT+Sz4VOlyxrVO4XTAe5Vb0GhNW21k/cF96JWIgNXK+28JgkFKHL+vcb6FQxVeMR0uubwVvHp4rY02Qd8x7bBeEZcFXyAQCASCxo+4uPQbHbilgJZpJcRbrThUtNpp0a+KYjETd5wKPQnYDh73xUIhaDFySwGPgzFHtAb491FOFmFYRhBgRW6AT74ULXzuNUnWB+79wDaihcz7h7euXdzDPFaUDY3JuDCvO7YxDmNqC+9gWiUvJBROv9gMjLnvWqKlhxKqlkUPDzpuqfuuB7bD8vRkm2NeGMZiM4m/Q/BdjOGH2XlQbhXHAgV/zHOaY+67fhHl92Th/OMpmGip4jZ6O/g9gtwOS4IZ5iMH/hZTWQ0PGqS1oreqlLWZcyjSKQDG24ycC5x/psBPaPcZ3YFY+AKBQCAQNH7EM8PC97+qCQQCgUDQ2BEEdfvUAZWVleqmm25ShxxyiDrqqKPUY4895vzuhx9+qE4//XTVr18/9bvf/U59/fXXxn46RpcuXYxPWVn6ZYQbtYU/su+p5j/E4s6qWqj6Ftu02dh+fe2HtX8P7nKUeVxwSYagxjhHvLzcn5pWkFD0CyoqvW2Ml/7k1FsP5eV6SVS8zUikQRd4nO2fvHqWse+Gw88wz8PapMEU17A/d38xx9ge3W+I+VuP+9LqHyejwdv6bUvmGduXdjvF/C37friJSQqbuvQ1Y3tUz1OcY47XFvdzHXHUH5+4ZLaxffXAxLiOnz/X2De8N8xr8IHzY+M8vu/ruV6X8fBeQ5zzAM/jcy/ftvANY/sPXU52js24z1839o3sNdg8GCNOopIekirHLXzb2OZhpJv6/spsA1wDg/AHD3X8Lp8zej9PQ4Rxs34LFRh5n7A/nKRHmLwscf3G9IZ5DM80rg6Kx8Z73jeH+D2c7LfTV5pzd2Rvdh9DfyYuMa/1lV1Pct7T6NOft0k1SJf+pEmT1NKlS9UTTzyh1q5dq66//nrVrl07dcop5vVbtWqVuvzyy9Vll12mTjvtNPXCCy+oiy66SM2bN08VFBSo9evXq9LSUvXWW2+pPKZ4mg/XOWMXfIFAIBAIUiJePwt+eXm5ev7559Wjjz6qevTooT+0sD/11FPWgv/0009ry37UqFF6e8yYMeq9995TM2fOVOedd5766quvVOvWrVWHDh12uD2NesEf+9k7ztrSSPbB6nLH5pn7f9WuT+3ft3/zrrGvwiMQEQaiE6b3YJoR1po29gFpryjMa2Obb+hfVbUxtttnb3Yeq5BVEUxeVzthvVzX7Thj36il5lgUQspOORtXPM81nY4xtm9d9ZZzXLHvKKLC93OSF+HmLkcb23d/+aZTkGRdzKx9cGVH87c3fvWRcw7x65EsJYmLLJXAdb+uszkWo794r/bvcV2OMPuz4l3vnClmNeMPzllv7Bu1/xFe63Psqg8S7QUC5gYYG34/4XXHMb9zJd4ziUfP+K5HGvv+vOJt57X+NtrK2Nc2y9TwH98dvG/MwsRxK4mbllHH7E3O9EyEL6UPnyWoU+8DjjkKc/F75oYv/+FNvf022tLYbsbuP+s8cM9z0ZtS0P5HkasRBx5rbI9c8UnylF5axA4y58Udq9+v/bsYUom5sFN9I6gn4Z0VK1ao6upqvZDXYMCAAeqhhx5S8XhchZlnaM2aNap3796126FQSHXu3FktXLhQL/irV69WBxxwwM9qj8TwBQKBQJDZiAd1+6SJ4uJi1aJFC5XDQlh77bWXjuuXlJQY36V/J7c9x7p169TmzduNNbLwt23bpi644ALNBbj00kvVN998U6duNmoLv21WedpSpwMhnee9CkhJatnCKVKRa1m1YWcqHaa0YO1oXjd8TbVpIRZBDWt+bLTwO4Nlh5KxvKIfVl9D64VL4mJcsFOWGVhDAZZoUO6sEhZu1tRbpa+QpUahKA+CpyChwArGBn3iJq2h1ncWu+5YC7yIpdklqwhnpSTx42SB5HLzhFVOODC7xFlNrg3IJmMaWwd27G+jzZ3zWAMeXrx/eNx8SOXyiVzhmNvekMT8CxWY3o6WMM+5kBBa9HgvosdCsfg41lvHceT3E1q8OKeinlQ7lNlFISistsnPhRUyrdRINk/Qo1QC93Gn7I3Oa7Ahlu+9toXMirerZ2Z7K+C1zypxeuYiLWA+svu6K7TXkhVWDS+Gv23bNmOxJ9RsVwHnYtCgQWr48OHq1FNPVUcffbR25S9ZskQdeuihej8R+LZs2aJGjx6tmjZtqsMEROybPXu23laZvuALBAKBQJASMX+dhR1Fbm6utbDXbHPiHeGYY45RI0aMUCNHjlSxWEwv9EOHDlU//bT9Jfyvf/2rikajmsBHuPvuu9Uvf/lL9e6772qSXzoQl75AIBAIMhpBPF6nT7rYe++9tUue4vjczU+LfbNmplePcMUVV6gFCxbo9LzHH39cp9y1b9++1jNQs9jXvEzsu+++VhggYy18dAlxNaxOWaYLZEXUJLwUhHKcqSjoZuOqVLY2Nuipg7tybbXZjoja5nQroku8FSPhoIsOiYRtwFXNx8bnqk1FOkI1r2xwvfOxQBU+niaJ37XGDtqICn+cBFcExEgEupe5Vji6wFGbnbexNO6vuIjg8wZd4KhxX8JIY5jmiVUHMVzDqzlaY5GiroAvBIZjbgKrr4W8KoQ87IVhBTwvV1nE+8mqqOZJJUStedST5/cbuvCLYwVeJcuirDLnc6cc7CqstskJgq09YSBMrcN5jCEKvDd93/VVHUylrIfu8DLWHyQp10VLP2UlxAbg0u/WrZvKysrSxDvKoSfMnz9f9erVyyDsEWbNmqUWLVqkxo4dq1q1aqUqKirUJ598ou666y4VBIE66aSTtMv/zDPPrM0A+O6779SBBx6Ydnv2aAu/LoIFAoFAIBDsSaS9Jk2aqDPOOEPdeuutavHixTqHntaxCy+8sNbap4Wd0LFjR/XMM8+oN954Q3377bfqmmuuUfvss4929RNj/9hjj1XTpk3TLwGU2nfdddeptm3bard+o7Dw0xUscAHfgLlV/1U16t/7yTJcKASPi2/Apq62aSngXMGa1dxKRL3uAiAD8TZaGuNgoaB1xq36VNrsBrIi3gpqaOHzN3gkJKGwC7aDp/Qg+REraZUzq8I6T67prfFVTUOLGMVzOKxqeawaI86D7X3gnh+cX6alanh3InWoLa9TuRJzoSyevgWMQAJmnlWVj2vAx739iXruL/wu1psoZdce0zEtgqan3jrep74KcTgXcRvvN5/HBb059vMiMZfz4LflcZgnTDAL71O8R3xEQ18tCvScYA0F69kIc4qPjVXrAISTfG3wpT7udAT1J61744036gWfRHSIXEcx+pNP3i5ERYbsnXfeqa32nj176u+RRU8M/sMPP1w9/PDDtZ4AyssnbwG9CFBc/7DDDlOPPPKIinjmfINZ8OsiWCAQCAQCwY4iqMdKPWTlT5w4UX8QK1euNLbPOuss/UkGitnfcMMN+rOj2GMX/LoIFrjQK6eJs059DLqO1pgVt2ZWlpWuBG/7piUH8Tt460Yrgx/brlldlXYcHlNnkA/A09zQMsBYNLe0uTxsqtreaA2gNwDFLnxVxLDveH/yqnD4XazXbVszEWd8FS82t97QJkCLih+3rnHRAjYW2H6M82Lsk8duUTTFbkj1Dltc/NrjPYFSzj4+TQDysegN4EBxli4gKOWTN8b0MrwGnMtRbnlrzDHHuexLIYsBnwEtZC4UtS6G6YxxZwwf7xfkM0Tg/uJcCIzvI7PDV4kzCvFun2gNngelg/k1iGPFT7ifGqqFvydhj43h10WwQCAQCASCn2PhB3X4NFTssRZ+XQQLBAKBQCDYYQSZYeGHAuL774GYO3euuv3229VHHyW0y0lacPDgwZqlWFRUtFvbJxAIBAJBQ8Ie69Kvq2CBQCAQCASCBrjgc8GCGrgECwQCgUAgEPixx66cqQQLBAKBQCAQNIIYfg1xjxZ8Uh4iwYJLLrlEVwcSCAQCgUDQiBZ8gUAgEAgEjdylLxAIBAKBYOdBFnyBQCAQCDIAsuALBAKBQJABkAVfIBAIBIIMQKNe8El3/6abblKHHHKILkNIaX0CpdavX6+uuuoq9Ytf/EIdffTRujwjjRVhzZo1OhOib9++WtXwww8/3N3N3SNw2WWXGVWqli9frs455xzVp08fXd2KyjhnMkjuevz48WrgwIHqiCOOUFOmTFE1fGAZqwR++OEHdfnll6v+/fur448/Xj3++OO1+2ScBPWNRr3gT5o0Sd80TzzxhLrlllvU9OnT1bx581Qmgx7CtNhTyiOVGr733nvVu+++q+677z69b8SIEbpI0YsvvqiGDh2qrrzySrV27VqVyZg9e7Z6//33jdLN9AJAL5IvvfSSruhID3H690wFyWD/85//VH/961/VPffco5577jn17LPPylgBrr76apWfn6/HgowRuu/efPNNGSfBrkHQSFFWVhb06tUr+Ne//lX7bw888EDw29/+NshkrF69OujcuXNQXFxc+28zZ84MjjrqqOCf//xn0LdvXz12NbjooouC+++/P8hUbN68OTjmmGOCs846K7j++uv1vz3//PPB8ccfH8Tjcb1N/z/ppJOCF198McjUMerevXvwySef1P7bww8/HNxwww0yVgwlJSX63lu5cmXtv1155ZXB+PHjZZwEuwSN1sJfsWKF1uGnN+UaDBgwQC1atEjF45lRGSkZWrdurf7yl79oK57jp59+0mPTvXt3bYHwMePyxpmGiRMnak/HQQcdVPtvNE40LqH/1jmn/5OLNlPHiSSvSRiLQkQ1IGuVQkUyVglQHRBSECULPhqNqq+//lotWLBAy4jLOAl2BRrtgk+Fdlq0aGGU2KVFjmLVJSUlKlNBhYcobl8Devl58skn1WGHHabHrE2bNsb3W7VqpdatW6cyER9//LH67LPP1PDhw41/l3EyQbyP9u3bq1deeUWdcsop6oQTTlAPPPCAnlsyVgnk5uaqcePG6VAHxekHDRqkjjnmGB23l3ES7ApkqUYKilHzxZ5Qs00EI8F2TJ48WZOFXnjhBU0gSjZmmThe9GJIvA96QJNlls7cysRxIlCc+bvvvlPPPPOMtupp8aJxI2tWxsoElfg+7rjj1O9//3u1atUqddttt6nDDz9cxkmwS5DVmN+m8Wap2cYHeCYv9kRoJOJe586d9Zih94PGLBPHiwiePXv2NLwhqeZWJo4TgapaUkiIyHpk6ROI6Pn000+r/fffX8aKeYzoxZoIoNR/qvxJGTMPPvig6tChg4yToN7RaBf8vffeW23evFnH8emBRCDLg24gcmtnOsiyoAcyLfq/+tWvasds9erVxvd+/PFHy9WYKcx86nsNB6TmYfz666+rU089Ve/jyNRxquGF0EtQzWJPOOCAA3QKGsX1Zay2gzKG6AWIL+LEmXnooYc0O1/GSVDfaLQxfCLC0ELPSS9ELqK36nC40XY7beuV3K+UKz1kyJDaf6e44rJly1RFRYUxZvTvmYa///3vaubMmTouTR/KmaYP/U3j8fnnn9fmmdP/iXyVieNEoH5TCOSbb76p/TcipNELgIxVArR4U+iDW/I0Tvvuu6+Mk2CXoNGufBQ/POOMM3R53cWLF6u33npLC+9ceOGFKpNBMcQZM2aoSy+9VLOCyetR8yFrbJ999lE33nijji8+8sgjeuzOPvtslWmgxYqssZpPQUGB/tDfREzbunWruuOOO7RHhP5PMVgiYWUiDjzwQHXsscfqeUPZMf/4xz/03Dn//PNlrBjohTE7O1vdfPPN+uXonXfe0db9BRdcIOMk2CVo1OVx6YahBf+NN97QaUOXXHKJVpHLZNCDmGKtybBy5UptgYwdO1anCdHiRuIgpJyW6ahR2bvrrrv0/+lFiEh99ALVpUsXrTJH7tlMRWlpqQ4TkYgMvWz/+te/1iJOlF4mY5VAzWJOY9KyZUv1m9/8Rl100UUyToJdgka94AsEAoFAIGjkLn2BQCAQCAQJyIIvEAgEAkEGQBZ8gUAgEAgyALLgCwQCgUCQAZAFXyAQCASCDIAs+AKBQCAQZABkwRcIBAKBIAMgC75AIBAIBBkAWfAFgkauEEjSrTsL/9//9/9pFbhPPvlkpx1TIBDsGjTaankCgWDng2otfPjhh6p58+a7uykCgaCOkAVfIBCkjUgkosvhCgSChgdx6QsEOxHvv/++OvPMM3VZ08MPP1y71Lds2aL3UcXGc845R/Xt21eXaabvUWW5GpDrfeLEieraa69V/fr1U0cddZR6+umndYnioUOH6mOed9556ttvvzXc61Sy99RTT1W9e/dW5557rv6+C+vXr1d//OMfdf31Qw89VA0bNqz2eOlAXPoCQcOFLPgCwU7Cpk2b1JVXXqnOOussNWfOHDV9+nT16aefqkmTJqmlS5eqkSNHqiFDhqiZM2eq5557TldLu+6664z66H//+99Vt27d1GuvvaZOOOEEdfvtt+uKj1S18Mknn1QbNmywqh1SBT9auF9++WVdqvbiiy9Wa9assdpXXl5eG8+nY9G5WrRooV8S6EVAIBA0bsiCLxDsJNCiSYt3u3btVPv27dWAAQNq652TK/xPf/qTLs/coUMHvahfeOGF+iVh48aNtcegf6cyzvSd3/72t6q6ulr/nqxx8gpQffQvv/zSOO9ll12mLfxOnTrpErW0iNMLBWL27Nm65vrkyZNV165dVefOnXWpViodnez7AoGgcUFi+ALBTgIt1rTwkrVNce4jjzxSHXvsseqkk05SWVlZmuj2yCOPqK+//lp99913asWKFfp3sVis9hj77bdf7d9UV55Ai38N8vLyVDQaNc5LLwM1yM7OVj179rReCgjLly/X4YWBAwca/15ZWalrsAsEgsYNWfAFgp0IcrePGDFCffDBB+qf//ynGjNmjLb06d/IcqcXANo+7bTT1LZt2/S/c9CCjQiH/Y44epngoBeIZL+Jx+PqgAMOUA8++KC1Lz8/vw69FAgEDRGy4AsEOwmLFi3SbnOKt1Msndz3FIunRT8nJ0db4tOmTav9PsXQCUEQ/KzzLlmyRBPpCBRSWLZsmY7LI8iF/+qrr6rCwkLNHyCQt+Caa65Rp5xyiho8ePDPaodAINizITF8gWAngWLh/+///T8dIyeXPbnVibzXsWNHHddfuXKl+uyzzzTT/cUXX1RTp07Vv+OkvR3Bfffdp9577z21evVq/bJBnoNkC/7pp5+uwwpXXXWVfjkhNz5lEZA3ouaFQSAQNF6IhS8Q7CQQaY4seGLn08JPbvXDDjtMPfroo9qqJoIexfcJBx10kJowYYK2/slCp9/uKM4//3ydzrd27VqdukeegzZt2ljfozYQO5+yBii8QK7/Hj16qMcee+xnnV8gEDQMhIKf608UCAS7BeQpoNS9//u//zOIe/UJ8lycfPLJWh+gf//+u+ScAoFg50Bc+gKBIC1Qbj+FDght27bd3c0RCAR1hLj0BQJBbYw/mWBPDSoqKnQWAQn7ECdBIBA0LIhLXyAQaBAHAHP8EaQTEAqFdlmbBALBzoMs+AKBQCAQZAAkhi8QCAQCQQZAFnyBQCAQCDIAsuALBAKBQJABkAVfIBAIBIIMgCz4AoFAIBBkAGTBFwgEAoEgAyALvkAgEAgEqvHj/wf4quX/QSRPfwAAAABJRU5ErkJggg==", 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oE6Usus6AcDgSwvKbOzHmziNQihIayEbYww00BDKqcZ9VsHVEJgRVWy5TI9yp0BEwVFCI0xFQNKix6TiCQgnEyN3PqYyinfZDl3KqI5AbQaGSuWVzAw0BRaubrFmAacH9cKgaYHUdEJM8R8CcvOsYsNnBVaysp58jIJsOL6ikJl/EAHFzJMgZD43j5zzkgSOQGUEhK/zqPitGjhtoCMSAuxNnqeHTgvuBUuVyzfJZA2kNjEGseE5QSJkhwHgEEhQUivKsai8/U2777ywxzbN27HaWd5roBhoCMeAmkGSJHJIW3HWkqs5MiLNHLUt6/Ab/iU7H6YNsHdmTn70aVplOTbquCUcmHR3xXpEhxP5t8gpZFXSRMFWjGCGfUdQITQAaAkrdjdmxANNCFBdtvgSFksk766KupJtQaIApny0oRFzjNnEuCUEh2UFah4HGlZ8hCdp/Z2nyiIIS4WdkZMy0IgkKZXM7ORoCBsa76xnuB0rdSqtUF4JCSU0EMkasjpCFp2t83ChIQlBItjw6hG+KQR4BgydGPc9/ua6IzVZGlWbREFAa7za3U9c7r4InC5bTIYtmSGJYxjOjY6sn7xpvFLjGNe0aiMBN0cE7Ee2aqPydj9CA28Vu8phpufuMRNsgWTCHwNBAvkMDqoyaoP38ieQ9IDSgjCzHtI2YLGfOrgFOUEnjrgn27yxNHlHgLp/JkspWhPEdzxrIIZAsqKLOshsaUFWWNOKK7gE46BhiZds8mfsUEiTLRSGp6jAuvcmCjZljmie1ys7S+F7kjMfstCUaAgaubusZungVaVjiqsqiY5tamDTpe0G6/D56DROhkCynX1BIdsLVwZHgDCGu/A25IAtmacy0oniR0COQP9S6V7NjAdZdaCAFUR4VZUmLRV0zMQYJClnZdo3HDQ2Ux9tKaWhE6BHIzuQRBW5Dx+Qx04owvmdVaRYNgZxYt/UsKFSzFS6xVXX8sqTFoq71ZpSSJ8uxE+H46thUQSFVfTXvgkLufmayB8SKZDziroHcQWZVhdAfGkhrG6eKdNNiUctMjFH0+aOGBnRvn4srKETvobivCndN1PkYkqUt11aE8R1DAzlELQEpOxagMQQcFauslEI0KsoiszJPi+ioY6snm06SZMG4gkL0vdbQQD62D+rwspg0vhczoproBhoCORHHqG+PQDqeGRVlSctVKuP2rI3nqvYINCSmrBdXUKjym/iTFntPmyCYBFnSFBQzNGZaEfLK9rOKzoi55WOBhkAM4KFD4aFllVmzN9kc93pmwhoBgkJaYuQZEhRS5xEICI0YPDGm5ZlJC1YUXklGeWNoCMQACgqFh44HJa3QgBKOQEp9SGY/d634S7l+BIWkVnfqvTWeuyZssmRGJo48jJlWJEGh7Hg8WKAhkBPiSz2fNZBeaEDBroGUZKplFN50Ezt5joDeibDW4IqwulPRV712TeBZA8bBklDfzLKhwwINAcOIb/UOHccQp0cWjF+WKIONCtTsVhB5BGpWNwpi5BxZLr3QgAzxS0fbeO6asAWFDJ4Yk+p3pqBY4xEqpTK+JQE0BGIgrUE8y1Cxilax2jPGI5CS9rpM3nXUqzdZUK+yXpSQVA2xTfWuCbb8OREUytKuASuSRyCbW8pDGwIjIyOwdOlSmDt3LsybNw/uuOMOz+/++te/hhNOOAFmzZoFZ555Jjz33HNQT8hqo6cJPQSslJj3CsqSFota6tAhDcSuLAsKKdnq6nXWQF4EhTTwLozSESil451M3BBYvnw5rF27Fu688064+uqr4ZZbboFHH3205nsbNmyAz3/+83DBBRfAgw8+CNOnT6d/Dw0NQb0AOQLhgYJCrnukJSgks2tAC5+j7EyCDQ0NmRIUUh4aQEEho8dMK+ZZA7K/yZwhMDg4CPfccw9ceeWVMGPGDDj++OPhvPPOgxUrVtR898knn4Rp06bBwoULYa+99oLPfe5zsHnzZti4cSPUC7Lk5qprj0BazHsFrvP08h68MtOyw2M8XXY1nIWzBmR/E3nXBIYG6u6sAdM9HpENgXXr1kGxWKSufhtz5syB1atXQ8lVATvttBOd9FeuXEk/u++++6Czs5MaBfWC2qNcs9HoaULm+NuwSGvLjopjiGtJbGmRBQUcAQ0cGPue7CRYeT8uqKMtNBC+rWTqKCzsexJnSCPrEXE4EuZOjHkTFCpGOYY4owfRFcJ8mazou7u7oaWlxbk2ZcoUyhvYtm0b9PT0ONdPPPFEePzxx+Gss86CpqYmaGxshFtvvRUmTZoknV5jYwP9pwr2YMOydePALRpFlKQKhfzxL8PUK6kjFuRd3DpzP55k5ZZGO0Rp/7Kre5MT7sg9VPfVKHmvOW2vQUFbjbc/UdJj79Uy/rddftVwF0Wm37nLT9pKVV9Nuvw6EaevmjxmlhT0majPTNLPfyhDgMT3WSOAwH4/OjrKXe/t7aWGw1VXXQWHHnoo3H333XDFFVfA/fffD5MnT5ZKr6dnAhdHVIWurnYl92lp4auvqdAE3d0TIK+QqVdSRyyaWwqx66y9Ywf3njyKSbRDa1sz976hsTF0uu3t2/kLDXzeVfVVN1pag/Pulkdt72iJXa+kvelrgU+vo6PFSVNH25HFiDsfgem4hp729vjlb2ktOIYAe6/OCa3ORJLVMUSmr9b0O1c9mIQG1yKUPO9BeXUvdDo62mKVT9fzH8sQaG1trZnw7fdtbW3c9a9//etw4IEHwtlnn03ff+UrX6E7CO699144//zzpdLbunVAuUeAVGxf35ASl82OgRHu/dDwKPT2DkDeEKZeh4bGuPcDAyOx62x7H09AHRuzEmmHvv5h7v3wSDF0utv7+HuMjlbyrrqvutG/g093RJD3sSKf7rbtQ7HrdcdgZbxogAbuXsUxy0lTR9uRZ5PFwEDws0rawt1Wscu/ozJmkHGNvdfoaJG+jll6yq8TYfqqu98ND4d/ZpLCyEilTdi8B+W19pkZhN7eipEXBqqef1kjJJQhMHXqVLrSJzyBQqHyU7LqJ0ZAV1cX912yVfDjH/+4856EBg466CB4/fXXpdMj1nGNq0UBSMUWXQ0WBaOue4yNqblvViFTr+4HZVRBnbkHbBLbS6IdSN65dIvh0w3Ku6q+WpPu+MRrY0yQjjtGSvIaNy/ESLPJgey9GjS3XW2/Cy6LlvKP/76m/A3VmHlWxxCZvlr7zMSvU10Ys6L0GX6+GonZZ3Q9/26ECkCQLYDEAFi1apVzjZABZ86cSSd6Frvssgu8+OKL3LV//OMfsMcee0C9IKtbRdKEjoNsdAi/JCUoVKteltbWx2QFhWrJgiYKCqnXEbCNi9pdE1WJ5aycWBcFaUlqpycoVIIsIJQh0N7eTrcDLlu2DNasWQOPPfYYFRRavHix4x0YHq64fj760Y/Cz3/+c3jggQfg5ZdfpqEC4g348Ic/DPUCFBQy89ChLAkKpaaBEElQSJ3WPruHnj2GV5+gUARxGI1bXVlVQff7eh5HdBxkZcr4XqLHDkNmdkVEDg0QEMIfMQSWLFlCtwNefPHFMH/+fPoZURq87rrrYNGiRXTXwMDAAN0p8Oabb1JvAhEhkiUKZgFZVZFKEygolGVBIYU6Am6PgGZBoSjPqs6+6jaEWA8B3fXCcxvrBtkWFCr5f1/iBM+6MQSIV+CGG26g/9xYv3499/7000+n/+oVGBoID91n3Ku6Z1pnDZgiKES4OTWrG5UrYg9BIZImSVslSTj66YP6BIVqDaFGflzhyfV1g2wLCpX9vy88r8Pc8rEwcwNnRoCCQuFRE3dVIlLDt4M9mWTj9MG0xJD8V8iiQU2loE5NjJzZL61jclBz+qBaiWUWrGGQlcmj7gWFSuHGd9HnJpePBRoCObFu6/vQoWC3trmHDtXeIwmyWFBoQDSoFZWuiF0cAWZi1GFQh20r0gY64tm2AWJzImyw77MyedT7mGmFzKs4vJaNtkRDwDDiW71Dz0E2wfK4xoYGBOVPoh/VeiKC3eBKY+Qeuwa80laVrrybV1R+jR4BjiNg7uQYF1nS4rdCju/CZzkjvDE0BGIgLbdulqHnIJt0LHElZEFT8h6BPBgn3UINWa5Ra/nDcgR0tUt114SfIVC/40i2yIKl2MajyYYOCzQEYiAtoleWkVxooJyJsuhaeYdNt2ai1OSpcEIDfhOhhlVUWJKqrj5V9Yg0entEDJ4c80SwtlSEBjLSlmgIJHw6Vd6h4/RBEbkqCZecSMgobHxfVP4kyGLudGvIdKLVjQpip0RoQMcqSoYDwX0uDDepC2N5CQqpSsdUBPU7k1AMSQYWtVtWFodoCMQAcgTM9Qgk4ZJTsWpMzSMQsDVK7BHQLyjklXa9eATsyaSWLJjT0IChZS2XyzUHCAVzBNAjkEtgaMBMQaHKfRPYNaBgEk9tx4P7iF3XEar6yIL+gkJeaSdPFizpLb+PR8DUyVGXIWCipLIVYUxBjkBOEUWLOu/QocWdGuFOwapZOOEkQhb0z7vuGLmXoJBX2maQBRV6RPwMIYPd5XGR1i6ZsLAi9P+gZ8pkoCEQA3jWgCmhAT2rt8B0FawATAkNuGOg+lnzbrKc3hVx2H6nnSzoIyhUz+NIVvbaWxEMdAwN5BQ16myGurnMJuCoU6tLm3AX5cEX5j0FoqN7oBOSGBUSO/1WxDrKH1ZZUFz+ZM4aqGfSsVh9z7xVczHCcykmLWejLdEQUBzvM9G6NZGAUz1kRk/cNUmPQBy3rmg7XZJbH73yzubBaSsVE6GHa5wjCyouPz03IWRZxOUvKVQW9Cu/eROjKoieVRPj6Jao/UN4BHQfoqUaaAjEgN0xWpqbMmcBpgH2QbLrTCVZkGuHBEV54qRrat7ZAcxpK4V8Dv/T99QOnuz92lrkyiLsqzpDIwkbsWkhK2OmxRh9smOVqM+YaOSIgIZADNgdo6U5H9Z8XLAPkl1nKgfXpNtBlG5UjgCX9wR3PHjlXVtbjbdLDVlQo6AO6+ZtdQyBcoiJQH35a3UUcrJrICNjpsVN6o0RjMdGY40cEdAQiAG74VuZw8OzYgGmAfZBsutM5SqTbYdkQgMlQbrRQgPcPRLc8eCVdzYPTltpDA3oDI1wZWkuhF7dVcuPZw1oeWYMHDOLovYPYTyqHN+SABoCCuJ9pru5TAG7MnNcZwqPIWbbIQnClZ1GHLe+PeAYkXcmXZYYVXVzqiN21rrG9SnrcQN0i1xZhH01obMG8kAWTLq/qwgNFAMJpnpCn0kADQEVK9GWZN26WQW3yhqvM5UcAa4dEhHlKQnaP2RowDIo7x6CQqraiiOL1pDlkvEIOByBEIJCKvuqbYD4HkNs4Ao5b2OmJer/IXQEZH9jCtAQUBHvMtzNZaSVPV5nZGKIu+XSfgCTbgcnzs6lG01QiLtHgjse2HTZVTLHEZB0jcqmKRYUim5MhXLzMhwBv34nLr9GQSGOI2HexKgKdtlMHzMtUfuHIQuO/yaJbcwqgIaAgtVNK+vmMrBTmwI+VqtuIHBW1QmHaETpRiULqqwPFXXGrW4U7Rrgtlf5nb5X0hgaGOcIELi15IP6atx2IWOG166JxoYGaGgwd2JUhbT6e1hYwv4fxBFgDQEkC+YCIoZovVvzcVH0rDM1K83Edw0IGf/RQgNG5N0jNKCKAc2Wy58sp5EsOO4RCCoPv31STflZw8Nd/sq1bLmToyCtXTIqxipLctcAaVvb0M1KW6IhEBEiMlWWGt4UAo4K91l6ZEERWbRUF3ln89A8vrqJmy/290mS5dgJ3OYIBKUjJraq9IgIDIHxa3k4hph//rNCFixLlY20o815MdHIEQENAdVu7oy4guqpzqrx7mQJVyrcnGm4SlkXtVdYg1WAs4lssUMDLEfAFRpoaGjQpsbGGpqcR8AnHR2hAXYiKbhCA5Vr6hQcTUSFD5SNMdNitSdCCgoRz47dl000ckRAQyAiRIIr9HpGyCFm1ZkajgD7AKYnKFSKb8RoXkWwLmqvsAZLalMlB82WS+gad1ZR+jwCsgYXT2xV4+blQiNCj0C23Mn1PGZagtBAELGZNZ6dMI+BRo4IaAhEhEhwJEsWoCmCQvR6XJcro9amazLxJYvGYPzbZScr5KTIYtzE6LHjgV/dqOIIBLjGNcXIeY5AQZIjUPmMtInjEYndT4M4AtnSp1f3/Js3Zha98uprPJZrx6GMtCUaAorj3SZ2ajMJOAp3DbAknYQIVyJd8SjpOnlvMivv3OpG0aDGtr+bNW+npSIdGQZ4UDqcIeSUX43nyr6vGyoPdzIRqp6Z5L0XTcLrNb8ZLwcJ8ag8VC0JoCGgYm+y4QxYU8Bv41KnJGfHXsnKrZAQ4Yq9f5z2Nynv7PVqvqrEp7gkPtnQgGqyIHu/tlZZsmD1lEDbIxC7/JKhgXr1KnJnPih8/nXA8hjf/UJ/VbJgozIvUlJAQ0C1R6BOH2KtVrai2GtTgpa41+omvI6AIO+WAR4BjnehKkbuTRak1zTFVb12DUi5ebk+pcZgFR1DzF7LyuRRz2OmFcHjy3smkSyYawZ8VpSk6lFQiHOv655MXVvBiCBM2HRZFnWSe489yXMCQSGeLJjM9jm9oYFCuNBAU5WAStrKT4QoOB+yoZFsTB6mPP+mhDEt1nhOiKukCmgIKBcUykbDpwHWSFJVZ261tqRIOrxcbrR03Up7SZHF2PsXPLZc8uIoDdoFhdhrJgkKsQZa0G/il7/Odw2UarUpTPWAWOPtTAx8Vg7bL6+88ZyttkRDQIWgkOG62Sbrd8eNEbqZ2I5LTrNBxuY5qlvf6x76884aMeIVv1doIM65EH6CQnZale+VNHIi5Ppd9ZTEav3EzVveBYXYchED1N4lY+Tpg6XanUhBrn6HV8ONB6X6NARGRkZg6dKlMHfuXJg3bx7ccccdnt9dv349nHnmmXDIIYfAKaecAn/+85+hXsC5V7lVRjYaPg14rsxiGE983Fmd+E2YdFlyUJiYoHfey+nknT2G2Dklr0oWjJs3niwncI0rYuer6HcOA5whccbNm9uLlDdBIbZcpKxJPatx8lqghoCc94INJyX1LKdmCCxfvhzWrl0Ld955J1x99dVwyy23wKOPPlrzvf7+fvjkJz8J06ZNg4ceegiOP/54uOiii2DLli1QD+BPmmJZpdloeLPIQopWWZygkO44O88Aj+LWd8eMqy745EIDvDdD4BFgyubOc9yJwJssZwJZsNbNG/SbUB6gPAoKuQxQkzkRRSbcyIUGZPqMi7Qc93RV4wyBwcFBuOeee+DKK6+EGTNm0Mn9vPPOgxUrVtR89/7774eOjg5YtmwZ7L333nDJJZfQV2JE1AO4OGtTYySyWN7AEXC4GKGqVWZygkL86i5auu7tdMkZMbyLWrQSFwkKuX8bdyJIQ1AoDgO88ht1Yaw8CwoluUsmCiyBSmDlukSfcYUTTDR0YhkC69atg2KxCLNmzXKuzZkzB1avXg0lV+f9y1/+Ascddxw0NVUfvHvvvRfe//73Qz2AX4lmT0kqdQIO625T5G5NS1AoqifCrbSXRt4LHnnnVjeKjghmyaK+E6Fij4j3oB5OUIi9rvoYZjt/7u/VE2rHTHM9IJZAJZC97i8oVH2m2Osmo7qXRgKbN2+G7u5uaGlpca5NmTKF8ga2bdsGPT09zvVXX32VcgO+/OUvw+OPPw677747XHbZZdRwkEVjYwP9pwp2xxM9hGHBNm1LSxNt+LHxLUYsEzsPkK3X8nitkQeLjdWS4VhFnZHVHhub09kOfPtXY4Jke5l0ug3uvFculEplpX01qO/aeS8zebfHLsLuZlfRhOEVtV5ZDylpf/d9bCa5FaYOQ6Tr5juQy17pkDawf8OXP3pfLTPtTUiLSZXfnOff1f7jY3uoZyYhlMrVSZ1tfzKGeeXVMQQK8fuMzuc/tiEwNDTEGQEE9vvR0dGaMMJtt90Gixcvhttvvx0efvhhOPfcc+FXv/oV7LrrrlLp9fRMoKeSqUZXV3vse7S2M8bQ5E5oLjTB8KgFzS0F6O6eAHlEUL02tzRXXguNMHlyp3O9ra05cp0NMRb6TpPaob2t0qWJAamzHTq2DDl/93RPcDTsC4Um6XT7hi3n7+5JHdDeVqmfxqZGpy5V9FU32jftcP7u6e5wBq0mJu8N44M0ydMkJg+dnW3Q3d0RKd3WNv6ZaWvlhx+n/I2NStuOPJN227ADMsmPVzqkDew8kbaxMWFCW+S8tTPlnzx5AnRPbOM+77DHlAa9fVcXgvpqe0c/N7YTI5Sg0Cz/zCSFwrjeBMkjeUZstHe0eubVnqs62lq4upg4sR0mdbZGyoeO5z+2IdDa2loz4dvv29r4Tk1CAtOnT6fcAIKDDz4YnnzySXjwwQfh05/+tFR6W7cOKPcIkIrt6xuK7X4k97DR3z8Etsdxx+AI9PYOQJ4gW687Bkac0MAOpv76+ocj19nW3kHn76HBUSdENTxS1NoO27ZX0x3YMewsOweHRqXT3bqt+r3BwREn70PDY7QuVfVVN7ZvH+Lybj9hg0NjTt5J/RGUrBIMD1Wf+a29A9DcEM3V2U/qyf67fwiGBvnVDklLR9vZ/Y44A1iXbV//kGc6pA1onkol2jZsm3W1Mau9ENjO9Pkd/cOEPch9bo2/Hx3V23fTev7Z8g/0M/1uUP6ZSQqDg5U+T/I4MN5/7DJ45XVktPLMWJYFI8wzs2XrAJTGKp8lPVfJGlihDIGpU6dCb28v5QkUCgUnXECMgK6uLu67O++8M+y3337ctX322QfeeOMN6fSIe8520akEqdhiMd7gOsb+vlQdYMbG4t87qwiq17HxgY7UFcukHRuzItfZ6Cg/mNqkTcLQ1tkOo2NMuuWKB8LuF7Lpjo6WPPNuP/wq+qp83qvtYDPcK1mqttXIaIy2YtItl8pQLPP3qe4rV1tm+1llt3UFPat2+e02ccowWlJXftd97BUl2caZxTEkqK+OjlU/K0d8ZpLCWJFpf2YOIuNNUJ9xe7GJgVAsVrxdYaHj+RchVACCrPCJAbBq1Srn2sqVK2HmzJnUncfisMMOozoCLF566SXKFagHeG8fM58Ykha8tqTF2XLpyUROknkfMd20WNReIkxBZw24vxOHLCoK+emSh+bODZAkqYrOGqj8Rs2uAdFZA0ltH00LWRozLU5QKNyuAVZQKOg3piCUIdDe3g4LFy6kWwLXrFkDjz32GBUUIjwA2zswPFxx/51xxhnUELj55pvh5Zdfhm9/+9uUQHjqqadCPcCtklYdxOrzIVYBdnAlE4GKLZdcOzDMe+0n+HntiQ6lLChmUes+r4Lfzy7WRRedNeD+bViw9xTBUdZTXH77fvak3iCjLOjklWeAx1HBkz1rwESlPT2Klsk8q1FgRVCWdE4fdO00yUJ7hqYkXnHFFVRDYMmSJXDNNdfAxRdfDPPnz6efEaXBRx55hP5NVv4//OEP4be//S2cfPLJ9JWQB0l4oR7A7jMmk5pzVGsGrL+0YE8EtnvWEZCJJSjE6DkQ8Q9N6nR+6ZKHvqosWIqsRaFLUKcmXZcBYqvciY8h5t3pKjwCotWwnZY7fypQTdfud8Hb1ti88uWP31eJ/SviPpmstKcCbmXJpJ7VKLAiKEuyOgKscmQWFoehOAK2V+CGG26g/9xwhwLIVsH77rsP6hHs3uTKazKn3mUZVbWu8TojD1hRpUgNszc5aUGhCB6BGmGfFI5QLngKCtWqpFXyHEdHoBpuEEGXoI7bE0FeSbheSi7WraMQx3slXf76HEM8Q1IGjpnFKIJCXtoDGWhPszZvZghso7Ov9WrNqwAbd2Zf43EEvOLdCZ41QF2B4cVRzBFDqk3XcyJUwOcQiQmx13UpC1b7XXA6vLKiKkGhgNCIwRNjbgWFGt2GoKQIlSJeTVJAQ0CRdV/v1ryWlZmCSdv7KN9kQwOZOmvAdlGP6y0kfdZAEEdAG1nQMdobUzlrgCWTiWDyxKgjnGqypLLFHCAkS2x2Qp8KvWhJAQ2BiGAlWPNgzau2slUN/NzRpoz1nuRRvk0R03UfQpPYMcRMLJN9ZQc5nvjUqPQYXm+PgN5jiN3PqvQxxBzxK/6uAa/y2waCieQ5ve1QNnp8b5AkNjt9JsTRxaYADYHYZJJKg0chi+UNLAGHvirgVdQcqZvQ7o0asmiEsvCn8bFHlybjEbAneBFJj+3f3OlrCg6IYsl3LHSRx2r6nQSPhM0rT/xS4RFpDPQIZOHEujirbNPJkcWa8T3Ye8GGPjmCqYGGjhtoCCiLd6NHIAwBh76q2DXg3ouf1K4BBWWpOTkxYbKgPcGLXLQ8R0DRMbwBK2L9HIGGCBwBhYcuuVbEbrDXba37eoLnM2PgmGm5x/eAvBLDzW6z2nCaeYaOG2gIKGMi13d8T0towHYNqjrRLQVBoVq+QxyyYLKCQn4TIy8opEhQxzW4JicoVLtrQH51p5Aj4VoRu6Fqd4KpUPHMpMdnavQdq7x2EWWlLdEQULUVzmDiiylwD4QqBv6arXAJbeOsJYvGCw0kyaJ2u6jdWy5LfqsbBaGBILIgm74KsMfD0nQkDC4vspiS0IiER8DEyVG9J8rcxZMVcnyvIS0r8qIlBTQEYpNJeNeRicQXYwmWCkIDHOGOYd6rnkxkyxKGI8KGSio8g2TIYkHkOZ67wB/dq8J7E0SWc+chLljiH8/n8SN+VSdtluEehwMUXH41pExTwRJQ+TGzlJnx3fLol2y/CKNGaArQEFBFFkRBofAEHAWucLsdbLW2pEg6tWTR8GXx29amkyxWS9riXbRuBThu+5wC1rwXWZBfRakbPKueCLdHQJwGqfsa75WCeHao0EAGVpFhwSrvmT5mFkOO725xMFk1QlOAhoDqrXAYGghBwInvGvQSi9HdFl7iSFE4AqK8a/VmuFzU7ry7uQvEwLLPCIpHFpQny6kcPL12+HilwdZ9jXJonPIHCgpli2mujIBn4JhphRSM4zkCKCiU43i3ucQX0wWF4rlbxfespFc2WhzJi0Wt3ZvhQdqsHn3Mr24q31FgtAXpCGgqv2d5vYhfwvKr2OHCx8jdULU7wVR4PzPmjZmWh5HuSRbkQpTyaoSmAA0BVVvhDHZzGU/AUeBuLSQ8mQrPTYgbGkjMiPFa7dR6BByCnQLVwyDXOLdfX6lHwBUaCCiL2yPC/0aF90qCI2Hg5Kht26qBY6YVcnx3n3lSOWq79jNTgYaA4tAACgqFIeDEF/+pIYIlRLiqKUtj+Pi+c8JfwnmvIW25FN54AibP54h1DG+IffQqy+/uI1UFQw/il+tES+Xl9+IIcOU3f/KI3Q4Gi7BZIUMDbtIy+4pkwTqG/VDXHKlbhw+wfrWusvLVXtz7BqcrLkuYdH3znijRkVd4c6s1sq8qBIW8jiHWteWqVlkwIDTgWt2xeVMRGvAOjeghS5qCWkVLM8fMMkMWdRuCMh4BleNbUkBDQJV71eA9sabAyxWucktaUiQdr7hzmHRrQyWMRyCJ0IAr78SRQYhy7gOV2O9oFRTSFFetPRfEf1Ln9R3UcYCqWvQ5FRTyGTNNklS2fA1BCeMxg2qzaAhEBAoKqSDgqBMUEq+qS4mLI1XSLcdiUVc+SyCs4Vrt23lyq6RV8qgiRu7PmtcVI/fkRHiu7kSGUKN2QSFdHAlT4CXsZJqksiXiiAQQm4UE0wypzaIhkJAWNcKbJa/irIFqnD2Z0IDXuQlsnsJOjEnl3csjYOdJuLpRutVTYvucDkNAcnUvNIRU9NXA0xezxTRXJcJl2rhp+XmEZIzHDC4O0RCIiOrpZDzRyzQ3l0mwHyKVpw+yR39WXlnCnf7QgPtEuzDpOmRBYd51kgV5bwanHGiVa45HZr8T7xhinqTohqrjfj1VAt0nhXqkwR0x7aqjWGRBl2fCjawdXRv3+GueHGtOeYvMxF3Do0m4zyQFNAQiwtetW4cPcVxwam1KPQLi1V7c+wam6yHTGyZd/7wnLyhkp+s+A4F91UoW1CAxTFzOtl3utV1SbnWnjiwZdAwxTScDk4faMdOcVbMlmNTD9JksnKXgBhoCisUxstLwRhBwlJAFfdohAeZ9nPZPy1XqS3S0XKEB9wFRKoidCe4a4M9NkCuLr6CQEo+IDEfCnIkxb2Om5ePm9xYUEhjPCrQ3kgIaAsrIgvVtzceFbpGWaiw3GcKVl6BQKLKgj6tUqzfDgzxnfyZc3agUFPIIDeiYCEWDenUrmJxcLP2tkq2uPFnODVMnRn2CQmaOmZaQLBhGUCh7arNoCCgWnDBVICNt8BKc7pWZSkEhPXFmWUGhMOlWT7irDQ3ojCvWCgoFhwaSFxRSU34+dss/qzKCQm6hKiUcCQmPSBZEaFSdPmjamFn06TNygkK88ZCFtkRDIHactZYsZpJ1awpYl1qcE/vqS1DIb2WenEeAJwuWuLZSKSgUTJbTEBrg+h3/rIYTFFLnEZDbNVB/Y4hfvzOpvJZQWVLeI4CCQjmCv068+RagEQQcDQfZJC8oJF5VS92jJryQjDHpt5+b6ghoEBQSqbW5oUNHwX0YDPsqJSik0M0bRBbM2tG18cdMM3UTLF9DUOZ8ChQUyg3SYnxnFf77bKNvuUxPUMiPpFiKZExwYQ2tRowr766VuA5BIdHg6oYOHQWxXLJ/WXwZ4ApCI56nDxo6MapCWjt8wsLymdSlTh9EQaF8wG8rXFYsQJPIgu7PsyEo5NP+0h6B+MZEVgSFRO2fxEToR/win5QE6fgSWzUKCjU2NoD9SRaY5rG3rRo6ZloiL1KA8ciF01BQKM9b4eqb6KOFgKMgJup1spx+sqB3aCi0oFDCoYHaOgsODVTJgiVlZNEkBIXEJC7/dHhBJd5bE5XESAwO+5deoYHKZ/4rzyzDLf6V1GmbYVH0Gd+DwkmV44f5foaCQnUKbm+yQJ0tC64gIwg4Ck5b8w0NJCLKE70sNURHLjSgP6whVEUslXijrWZFHNFgkwgN6CDLiZ9Vf8+DeE94vB0uotCYCNUQhDkTY95E2Cyf8T0onMTOA+5TPU0GGgIR4Kc8ZlqnzoKgUJwVUGqCQn5k0bA6AnZYIy1BIVe6bL6qq5uYoQHB4OoGSUv13ms/4pdXOiIGeNx8iTxiImSJaR42nGofLJRNQaHG8c+8OAK1O2KydP4MGgIR4BcPqldrPi784s4qSGh2/euYTPzTFZRFWlkweRa1yEXtHpDdh0OxeYzat+VXxGrjqny6ol0SJcm+qo4s6bVrgs2bSROjCogPcjJzy7UVILEtIjZXOUONmWzL0IbAyMgILF26FObOnQvz5s2DO+64I/A3r732GsyaNQuefvppqAf4aVFnpeGTht82LhWhAXZw1U3SEZJFFZw1wJHFNOVdxpslXN3EHNRkyIJsmnpCA+JdErW/qdRRw3ibqPGI1PIuRHBCEAZNjLrGTFMllS2fnSbuz6vXBMZzhs4aKIT9wfLly2Ht2rVw5513wuuvvw6XXXYZ7LbbbrBgwQLP3yxbtgwGBwchL5NaFsghZhBwVJAFa9Xa6N9Ffe0QGOaQJgvWbicj96ucAKgn737xf7tvi1Y3cZX1ZF3jlTQtZRwJ9j6y6pPuU/KUkCVlDaGY6ZgKUTuYOmYWgxYtVhkKTfKhgSy0ZShDgEzm99xzD9x+++0wY8YM+m/Dhg2wYsUKT0PgF7/4BQwMDEA9QawilYxOfFYRRNqKzhGo3ZJlTybaVtURCGjC+wgmHLICKVqWtvCSUGnPdRysSAo3LllQRBZN3iMgF8aplp/xMiklS/qVPzuryDAQHuRk6JhpSY3vTeJjyQXGcxa8O6FCA+vWrYNisUjd/DbmzJkDq1evhpKgIXt7e+HGG2+Ef//3f4f65QiI1dkQ8oJC9POYKy3hoK3NI+C9zziOoBB3II6miUAsfMK7aN2Hw1TyqC5G7kuW00kWFGlNCMojLn+8QZ03hGTKb87EqALCg5wMHTOtgPFdtGhxa4Kwf2ehLUN5BDZv3gzd3d3Q0tLiXJsyZQrlDWzbtg16enq4719//fXw4Q9/GA444IBImSPxOTtGpwJu3fSoGCdSU7Q0N0Kh0AitLYyF2AD0Wl4Qtl5JXZH6aeHqrCFSndkPWUuh0g7sQEM+0dIOTAdobq6Uxb5MeERliXRZFrXdh9g6tMeauH1VKu9MfybJVtnd1Xy1NDc5g2SkOuWemWqduVEtf8R0fGD3N1JuNl/udGwuGF/+ar7IAG/vppAG833/8jc47Z+VMUTq+Weqq9keM5lVtcwzkxTKDp0WoLW1iWoD2P2fgLS9O6/280o8B/ZnzeOvUZ4ZVXOVFkNgaGiIMwII7Pejo6Pc9aeeegpWrlwJv/zlLyNnrqdnQvgHTgJdXe2xfv/2jmpZd9qpA7q7J0Chtdm51trWQq/lDX712tbewrVr98Q26O6v1uOECa2h64wl7XV2tjm/tx/a5kKTlnYoMSv4SV3VdMkgMFYsQUtrc2C65Hs2JpK6GP++PXg0jQch4/ZVN0aYxclOXe00XZYF3draDIXmglOPdr46J7TSV1LfUeq0Y+uQ83f3+DMjgt12JA8q2q6V6Xc7Teqgr11dbdV8CfpdoaXgtIX9GWkjGxO7Opx2ksWWgbFqPnzK3zqedlOTnr6rE359dahY5tqBlI1debe2BT8zSaF1fCwna9DJPZ01ZauMNZW+ZKPJNhhbap8ZUsyoZVP9/CsxBFpbW2smfPt9W1v1QRkeHoarrroKrr76au56WGzdOqDcI0Aqtq9vKFYMtre3SnwcHBiB3t4BGBopOtfI/cm1vECmXrf3VSeCHf3DJBgNAwPDzrXebYPQ21t5cMJ4A+w5bHRkjKnzysWBwVEt7bBlW7Usw0PVNIj7kAz3/TuGA9MdHq32l5Hhat7t3j44WHmu4vbVmrxvreZraGiEyzsZmPt3jDhpk7zYn4+OjjnEp61bd4Q20En7up8ZEey7Dgx6fycMSP056Q6OwKTOVhgZGuP7XRff7wYGRpy82HkgbWTj7S390DY+Yctim2T57Q49OKyn76b1/G9hyjLEtC2pY1Livv7gZyYp9PWPOGEBO0/kOWfL0tzAhwcG7T5VLju/GRt/xseKVuiyqZqrZA2QUL156tSpNO5PeAKFQsEJF5DJvqury/nemjVr4NVXX4VLLrmE+/2nPvUpWLhwoTRngOx5FmmBxwVlRjMrsrAYHbOcv0lHpvdisjlajHf/rMKvXkfHmOvlMv0e+yyNjFmh64xrB7JRYPz3dlxvTFM7jI4K2p+JI46NBac74nWPcVfg2PjDH7ev+ua9zKZbMQRInZKBi4AY4fbn1Y2NlXr3kgn2TJdtf6a8btiGP/lcRbndzyp9beDrw52O7a2hxE2n/Hzb+REew7S3566BDI4hvs+/T38nxqWuZzUKxsb7P93B49H+7rw65WlgftNQ5T9ELZvq51+JITB9+nRqAKxatYrqCBAQ9//MmTOhkXkwDjnkEPjf//1f7rfz58+Ha6+9Fo4++mioS0GhhE69yyp0CAp5bcnSTdIRkUXDMr5FLGqOLJbArgGOYEnLUSEKCslyLvXBsKFLWUGhJMiCQYp27sNx6G9iqj6G3T5Yd7sGPJ8Zsl3WrDHTEu5E8h/fhaRlRkeAhN90hLlTMQTa29vpip7oAnzta1+Dt956iwoKXXfddY53YOLEidRDsPfeews9CpMnT4Z6FMeoHDZR8ezV20OsAn5n3EedtL3U2hJl3ouY9RJl8cq77olAtJ+bT7cUPBBGyJtIrU0E1We4+6nEeTLABeVn2yha+cMKCpkzMaqAn+FLHPEmjZmWz04k9nPRc+X1zFCSqcGGQGhK4hVXXEH1A5YsWQLXXHMNXHzxxXS1T0CUBh955BGod3itbrKkJJU07DohzwIxmlRsH/IaXFVPJrJb4cKk62lM6N766DEgs+mKBsLYE2FK++iF5yYEeKKE+g4xt7qKvIj58ggEGaDmlNfyUQmsfC5nPJp6zLISZUHiFbjhhhvoPzfWr1/v+Tu/z7IGr9WN7ebKgpJU0nAUAAWudPp5BI+ASCWPva+uduDbv7Y8MuJIXqfx2ffTdfqg13HA7DG71bYSD2pR6lWk1paEsp6oLEHStuK+6u9FiNpn3MjS0bVZeFZVHNMtFRoQiVC5lBNbqhvLjIMZGzczBnaQZhWnqvHd+nqIVcCJO3PHdMaNu7IeAXUqcGHSFZVHZsXIezOYPqRdDKlWNY3NAycoJIh3Rs2bV7puFHR5BLzcvH6CQoL6qfympKzPuJGlo2ujl18QCjNozLQE/Z9tM7GgkGh8M1M5UQQ0BJS6VzE04AUtcWfBiWaVv/W2g5ebN4yb0yvvug9Mksm7s7rxcnPG5HPIrIhVxchFbl5e2tqH+OXpRdAYGjFwYtTrRTVvzLSEEtv+hnD1fA5141uSQEMgAjzZ6nUqD6oCfqxa9nMlg4tu5r2ALFpJN8SugaCdB0lwBDiSYjVdUYw89kQoTZZTvGvA5yRFr3TEbt54fVU6NKLZm5UWvAwhEyWVrcBJXRQasH+jzouWJNAQiADPQbxOrXkV8DvjPrq7tZx6aEBM9JMJDQQQDpPIu4cueuDqJkZogCWL+sbIFYcGwmwFFE4EiW0flOeZZAmBu1UMGjMtwembQf3f76wB9nNTgYZABHDWvcB9VG8PsS4Cjr3lkv083D39BxdtxxB7eCJYwl38vJdSy7ulhdhZe08Rqp4J1WTBarqsISJKJ4gsFqVtvAw/N3R7s9JC0G4Vk8bMYkBoQBhOEm455cmCJgMNgQiwG50MKOygEoYsljeICDjs+9g6ApxHQC/hyossGkpQyMtVqjlmKpN3MVlOzYrYjyjHfq6eLNjAHxrjk44jKCSon6h5czwiLkPEDd3tnxY8dTMM1E2wnCOF5YnNOvpMkkBDIAJEbiBT98SaTMCJW2dee/H1CwoFufVlBIWYCTlJj0AQv8ViBYUU6ggIVkwixD3u1zvdRmkXfNDqLprRWu3/fgpzYcJLWYIXR0T3s6qOz9RQ83k4sqDZ7YmGQASIYoiV9/Vpzeuts+gxQm9hH82Eu8DJtBxLi8KdRqKCQtQjUFIuqCMaXEVQLQ8daLT7ysWq40hUww1BoRHzJkZTdtpkQlCoSZ0XLUmgIRABXquberXmdRFw6PsYrtBiSmcNBDL+Y4QGkjRiuLAWY8QKVzcBEqtRBte0yIJBBle1/ApDA4ItmUmU38RwKusRMTk00BSC2Cwa3+J60ZIEGgIR4OhKu+PddaoKpouAE9cV7qWSp5ss6EUWLYQoS3pkweqExA3ITLpBW+6iETslQwOKBZW80vXz3gh1FOKSBQVeBhFMnBiT8MyYNGYWBeN7ELFZR59JEmgIxCGTuDt1nRJ9dBFw6PsYrvBglbxyomTRMG59r7zrJwuKSZui0AB3kFNMlTQvsqgbVc+EotCAQBOAzYefoJCXslycvhpcfrWGkCnI0phpeeTVj9gsVOOM2WeSBBoCOuLdhhND0oBXjDgOr8JL2Ee3SIn36kaFoJBujoDYRc0JCkUQ4ZFON3BFrHYi9FqJ+8WmhcpySZElx/sx+XbJ8MkjDEThliwJCvn1GXLEsFh7AgWF8hnvrlNrXgW8YsRxeBWeIiUJ6fXHKUvwyYl6+Q01EyPDqxAKqsQc1LzqzA3VhNsqR8CDmxJJUCh6X5XlCJg2OWp7/g0cM62Q47sXaTnuTpMkgYaAyq1wBrq5jCdYxtk+6MlETiY0EKcsabGovSZkTlAoYCtUFEEhr8HVDbb8ZKWlzwPivRIN2goW5/TBwF0TGRKhCQORl4l9b9KYaYUc34N2EYl+YxrQEIgA+wF1rzLsmJLpxJA0YE8eXoJCcdXaRLE5VZOJjrKwxgRL2otTHzKw71vLEai8HyXnaDt5YfMVd/tcuNCAqsHTmdRr4r3BZEG2jkgbxdvqKukRyFBcORpHSNzvTBoziyHHd9ZD5CUoZFL5REBDIAJQUEjhikCBoBC5Q6On+EvZyLKk5SoNin+OjrEhC3WH7niRRd3gSIkK6kCVoBD7Ph5ZMkz5zZ486nXMtELmNci7R39juHcHDYEIQEEhswSFvFx4Ue+bRFm8XaVVspheI0a8a2B0rOoR4M6FIJ6LJASFFMdVwwoKEYKeXetedRSpr4YUFKq3cUQUbkniyPAkxnfLi7ScIe8OGgIRgIJCZgkKeZF6KvctGVkWqbxr6Efengg7NCAmYNL3sbZ6hifLqRDVCSso5HWyZJAXQf7wIzmyZNR0TIWnZ8bAMdMKOb57nkaKgkL5FBQyURwjD4JCXivzyn3LiZUljKCQXN5LiQ1yIpe911bPKPmSFxRS683xOvXQ65RDtr94e3x0CgrpNQTTQtYFhfzy6iUXznrRkCOQK3EctWIo9QQvslAcAR2vuCsvfqPPve65JU2CpCiTdy1GTICgEJcXpeJP4sHVDdUeEa8J2KssvNCTmCwWp6+GCg0YNDnqGjPrQVCo6NNnTCyfCGgIKBXHMY/4kh0CTvRdA17toN297lEWglKQIRDgKq18R4dHwD804JUX9jexyIKSxxBHTccrXc+VaE28V6zvEPcciOpOhBBkwToaR7zGTNMEhcqcOJDc+O51CqqpoQ8R0BCoc3EMUxAswhOFI+AvUsSmm2RZZMojY0zo8AgECQrxeZEX4ZFON+EYeSCfw08cxpNXEEdHIQxHwuzJQ8mzatiYWWIMeNm8egkKmXrMsghoCERAEOPb9EavN0Ehv9WtDsJVUFnYvIVlUfMEo+SIjkKOgEf5khAUUhcasM9NkPNE8VvBPGLEkciCkrsmMnR0rRoCnlmSypbHMd3ygkLZ9BKjIRABXsSnMGSxvMGbgBNHUMif1MN+J5nTJ+UFRKoueu/QwBjD4NceGhBMUN5b7jIkKBSk+WBFCQ1EMYTC7xow3Z2s+lk1YdwsSpBF/QSFvJ4rE8rmBzQE4qwyfIghOhTtsgxvAo6CuLMHaTPqfaOmG2YS8yQLat5HXiULensznLx4KCfG4XO4CZZpCQpVTx/0ZoDrOCkzaY6EKfAqv2lKihbTt737f9mHLGh26MMLaAhoEJSRIYvlCf4EHAVxZ7/BRWucXVwWmXSDXKXatw9K7BpQK/4k6RFQqAFB+p39HMoKCvHxXg83b0KCQsUcCQqZYwiUnb9llSW9BIXY9yaUzQ9oCESAHOPb7IY3hoATg4CVnqCQDEmxFGvnSdKCQqKVulpBoShkuXjPELcVULIsXidaVn4TZ6trlNBA/Ywhae2SCQuLCw3IKUv6iVCZtivCC2gIRIAM49t0C9AYAk6sLWkSojwJnjUQxq0vs+NB664Bnzqr5kVenz8w3RQEhXxXalJyserIkl5cBTfCGJNZQlbGTIud1CXHKi9BIe43hht1aAgoJQvqdetmFXIEHJWhAb2EK6/2D7P1z3vngd4+VFQSGojivUleUMh3de8VGuCIXwpDAygolEp/D4uiD0fEi9jM9TOP58r0MA8aArGILz5uLsMb3jwCTvRdAzX31DyYBpFF2e+EzrtufoOdrsSuAaXKetKCQupixn6re+dIWV9lQTEJNdKugQiCQvWkI+D1zJhGjrR8OCKeapTccege4SQDjBylhsDIyAgsXboU5s6dC/PmzYM77rjD87u/+93v4NRTT4VZs2bBKaecAr/5zW+gHhB0cEu9WfNxISXSolCkhp+QTRUU8iex6ZoIPCV3ZXQEIg5qfmRRvzTjlp/nCMgJCnkdKZsGR8KEiVEVvHUzzPKAWBKHToURoapbQaHly5fD2rVr4c4774Srr74abrnlFnj00Udrvrdu3Tq46KKL4LTTToMHHngAzjjjDPjXf/1Xer1+BYXqM76nlYDTGH3LpczgomUy9dqSFoIBLSUopIUs6L97g7umiM/hRxb1SzM+R6AUjwGuUFBI+hjmOiUcB4mwmTJZWr6CQh59pg4EhQphvjw4OAj33HMP3H777TBjxgz6b8OGDbBixQpYsGAB991f/vKXcOSRR8LixYvp+7333hsef/xx+NWvfgUHHXQQZBV+qxvde8CzChkCjj1hNDU0yN9XIt6tMzTgS3wKFBQKZlFrIQt6CgrJcwTCToR+g6tfmrFDAz7Sr3Y6xEYhinbkpLjKb/ScNSB7DHFjQ32OIUH6/aaEQiw/L5InWdCnz2QkNBDKECCr+WKxSF39NubMmQM/+MEPoFQqQSNTcR/+8IdhbGys5h79/f2QZcjsMzXtWE2jCTiuiS9gwRR614AWUZ6A88rpd0oqzhrQoYoYHJKoXvNyp5eUkUX90oxNFvQj/rn4HI2NTeNpqt/qSgxc2ykSVP6Ghgb6HdJvTZ88VBugJnhAihJeJPfYbr8nNhxryPn9xjSEMgQ2b94M3d3d0NLS4lybMmUK5Q1s27YNenp6nOv7778/91viOfjTn/5EQwSyIFa6bamrgP3wB7nn/GAxbs6W5iYoFKr3amlhqrMBuM/qGYH1yjRhSwtfZ63NTdWvNTSEqjO7LZoLjdzv2hqq7UC+obodbE10d/u3tlTLAgHp2gZKTd5bC9zgGaevCvNuyeWdXmtt4gY2klc772HqtIH5Kmlvv982MhND7LZj8k7Kx/bTlmbmvky/Y4dr0hZs+lHLz0pFu+tdBEKos0qWlr6rAzLjqt3fa/sdPwWlXt4Gvv9z4/v4WEUMQfZ6mWk3d/7tPkOMwTBlUzFXaTMEhoaGOCOAwH4/Ojrq+butW7fCxRdfDLNnz4bjjjtOOr2engl0clCNrq72yL8dGKp6ObomtkF39wTnfXffiPN3x4RW7rM8wKtet+yo1tlOkzq4eiF1aKNzYhtM6mwNnW5HRwt3T5Zr0NJaUN4OtgHS6WrjIkO5aWvn8+SGncMJHfw9Osas6v2scqy+Ksz7+Gp2Yief7lCRX7EQA3xyTyd3raN9/NlvaAhVp+WmqpFByhP0W5I2MbZaWptjtd3m/lGu39l1SV67JlbrdWJXO0zsqJStta3ZuT55cidnqJK2ouUhz3qIfA2NFD3HDBHIhDEyZkFzi/q+qxNefZUNp7r73Y7RqpHU7noW0kB7e9Vj3dM9gcsPyTsB6ZvsdTLG2IaAO//tbdGeGRuqn38lhkBra2vNhG+/b2urDugs3n77bfjEJz5BO8N3vvMdLnwQhK1bB5R7BEjF9vUNRXa79Q9Wyz8yPAq9vQPO+8GBqiGwbdsg9HaFn9SyiKB67d026Pw9NDjC1dnw8BjX3qWx6qAZhNGxSlrWmMXdk4CsZIkVvmMHn54KFMdXeKOjY9y9SVo2tvcN+aY7Nj7hF8eK3PdYtzOpyzh91Q1SH3bEYmTEnffhGpemO//FYiXPo6O19e2HLdur9x4e4p8ZEUjaZLDtj9l25Bm0MTg4TOvS7qfk2XXyt2UHFEcqz2o/Uw/9fYMwyO5zH++bpO3C5ItdPIwM8/Uugj3k7RhQ33fTeP5Zd7u73w0w9b2tbzD18m7rG3L+3tE/DL3MdDUybtARA33r1h3OItV+7slc5c6/ZVWemZFR/jlPYq4ikDU+QhkCU6dOhd7eXsoTKBQKTriAGAFdXV0139+0aZNDFvzJT37ChQ5kQAYDHUdTkoq1B/OwGBmtrtgIuPswWSWDZdQ0sgqveh1lVrmkjrzqbCRkndkDDHke3b8jscdSsUzTVtkO7OqmARo8yzI25t/H2Lgi+z3Wm0Hi+XH6qp+L2i/v9mTsTreRqfcweRod5Y27oN+StMnUOVaM13bufmcPqPTVo9/ZxqUdRikzhpntnCRtFyZfw35jhgB2XJm0V5bGEK++SrwbNhp8x8z0yzvG9Rm+nRtcfcvmndjPlfCZaajyH6KUTeXz74dQAYjp06dTA2DVqlXOtZUrV8LMmTNrVvpkh8F5551Hr991113UiKgH+BOQ5MlieYIvAYers3Ad3usoXzYd1QQkebJo0FkD4rzbZDF6D8UDgAwRyut9nH30fmRREVQRrHwVLT2eVZbU5g5LVre6RuunonyIEOdobhPhq9Zo2JbrIrcDQG5Hj9+OkKy0ZShDoL29HRYuXAjLli2DNWvWwGOPPUYFhexVP/EODA9XXD233norvPLKK3DDDTc4n5F/9bRrwEtFin7PcJZokvDbxhVHSc/vaFevY2bjwl95Tn63gp/SXjXvpVTyzuZBdC2sq9JPrU2EOGqTYRUt3eWpHtMsKn8045Kvd5nyZ2PvuSz8julVfex0XFg+xiOnE8J8z28ciiNClSRChQYIrrjiCmoILFmyBDo7OykJcP78+fQzojR43XXXwaJFi+B//ud/qFFw+umnc78n2wqvv/56yCp8ZUs1n3qXVcgc/hJppemj1uYlGJOEOFIlXUllwdS8Gf6CQn66AmHbyU+tTYQ4apNcuhJnXFTyJ/YI1OTL46CiOIawCF6qh/X5/BusI9AkJxjn9yzbxkPdGQLEK0BW+fZKn8X69eudv0Vqg/UAGRUp9/fyDm5l5jsgh3W5equ1qZpMatL0EZwhZCFypRywauZFqbxXEardib5Ke1K6AvoFhdh01AoK+TyrgtVdkCFE2lB2R1P40IAeI9ZM2V6zxkwrwvjuGI9+HoF6Cg0gAjq1YW6uLJ01EM3l6rd60+OS8yuLrCswaIWYiEcgYOIXSw5HW6n6qbWJEHXlHer0QQ9pWxkDLWzewggqsd8xYWI0+fnXAcsmII8b9jJnyfj2mYy0JRoCIcE91AmrwmUVfgScqEc3k90kfmptVTlYnYS7xkjkID+Xtew9VOedrG5Z8SB/AyWssmC00EDc8lsRntUq8cs7ZOO+t2qORLX8Zk8eKsZMTlLZgDGz6OcR8iA2y/QZ09sSDYGQYDure3Vj2pGapkBGtjVsnfkRwSrXormx48QQ2Wv+HgHJvKsODUjmnf4tineO55XcJcy23rAxcieuGpcj4OOJ8DruWIaAWvmefNvw7R2m/OlPjLrHTKomahChznLc/N7PZeV74fqM6WEeNASUulejE9/qGb4EnEY97tY4B8TEiXfLuAL9jrqt3FcPwSjQE8GUJ+gQolAToQ9ZTISomv616XrzObzK4ss74YhtZSUEUxGywjSXRXAoTM8Onyiw7Ek94OwNniMgERpAj0B9wS/eZZPF6sma107AicirCBxcFE0mvulGjKMHTYxVd6LGvAvTrV7zG9QqeYvovUkwRl6MEJv25Z2o6KshdATq0hDw3SWT/phpScT7PXcNCEnL0bxoSQMNgZAIHMTrzJrXTcCJuuVSenBRHhooSTLrS7HvoXXHQ8BAp5IsF34iVFN++/ckDl0rDuTBAI8wEYTjyIQpf/oTowoE7Zowacy0JHYisd+TJS2z3zMRaAiEBPtQ+7mPkCwoScCJusq00plM/YhPsunKuujHlJMFw4QG/D0GYSYpP7KoCPZ34u4r9zrqmV7zIKk6R0wHhUZ0egQ08VvSQjGlXTJRUPTRkfAiNnsdS+6+ZjJhEA0Bxe5Vk4gvpsCPgOM+Fz6aWlljcup8PsQnNl2/sgTmXRNZLJCkyJRHZORGJcMGGT61+VDrEQgiRor2hPu1bWiOQGhlwfoVFEryWY0Cy9fN7+VFKgWWzf0b04CGQEhIu3UNbnSzCDgRV1kB7tY09uLLpivrKi0mTXQM4RGIPhHKrIhV6QjYK7Ug74YgNBDoEQhDlkRBoayMmZY9qQe6+QVkwYBnyuRQDxoCIRHs1q0va14F/OKukVeZaTHvExEU0uURKKvjCFjq+Bxe+VB11kAw30FOLlYNRyJM+etjDMnSmGn5ufk9yKLyvJL0y+cFNAQUHqChk/GdZThxt6BVZqhVltykplVQqEmFoFByIiSyYkiqY+RFH7KoCKo8Ir4rNY/YrcxZA+y9tZAFbVe5AROjCnAKjz67ZExYMRd9PEKFSCJU0ca3pIGGgMIjNXWuRLMMPyubbrlsiKAjkJagUMCRuuEFhRoyJyjkvpdsujKTIP2eao5AkEogU5bq6YNB3quoHpE87hqQ63cmjJmWNJ+p1iMQhotiGtAQCAm7McnkJVrdFOosvqebgBN133SwsI8mQaHAvfgqBYWSOznRnZfAVXQoQSHvwTWJY4hFZSHbCUUhCP2CQhJkSYMmxmRCUlkRFGpgvifoMwplqZMGGgIh4RdDNG0rjCnwI+BEPaErWNhHj0EWSHxy4p0lBYJCqo2YAIIlk5dgjkB4j4CMmBCbtjqyYFC/S0ZQiNxT5sRCFBRKD5ZsvF/UZwKeKZPbEw2BkPA7cpK9bnKjmxQa4L0oZeOZyNLcBMnQQJL8hnBkwQCmfZTQgLQhoOisAZ+VGpeOZkEhv4lCnC9zJkYVCNzhk8WzBkrh+4wJ2yO9gIZASNirNM/VLQoKhSLgRF0BBwv76GHey5NF/bYPyoUG1J8+GMIQULh9zo8s6i+ooy804EXsrQoKqXPzVgVnwpY//YlRBezy03BqQ3LPahQUfcWBIggKGXbMshfQEFAc7663+J4KBMWIo8TEedJekmRBf7KonKBQkLCP3tCAl4uazUsQ8SlKjFzWI+A8Q8rIgg3Sz2pVUMi/fkJxJBzBGdnym7OdTgX8BHdMGzMtn/Hdi9jsKygUUY0zaaAhEBJ+MUT2ugmd2hQExYij8CqC4916uBpBZNHQEsO+eddDFgwKa4UV4YlrPHulE/cZkiapygoKReVIhDSE6k9QKICrYRu+BoyZVhCfSRROkhUUMqB8XkBDICSCHmoZsljeEDgQRNhyKctE1iUo5Bl3DisolCCLWpbo6pmvyNvn/AdXXROhvWoPJAvKCgpFFIcJqnevdMplgBL5LzdjZjkDeW0Y/16lz5TLZek+Y4Kh4wU0BJSvMtAjEDY0EGXLpexWOPVb8ILizsGTeFos6mBvVghBIY2hAVXenMBBXfCsSgsKRSm/LFkw4u6E7I+Z6S+erAA+k5vYzBpqKkWokgYaAiFhk0SC3Nz1ogqmAn5kmshkwZRCA8Fk0eBJPEhprqqsp4csqCI0ECZvQWRRr3TIYEtWXNq4KQJir+9JmSxHIlT5/Q2w2nxFS8dU+J3ox143YaIs+qgEisaqQNJyRC9a0kBDQLXFqEkMpq5XBFFCA0FqZYomk/Bk0eCy2HknDGoRi9o5jU3ToUMicqX7ukqVtPCCQmriqn6Kb+x1UbxXRPxi2ysKR0Dm5EF3fuvBsxjcDuYJCjV5Gsv8+B5MWkaPQF0CBYXMExQSbknSNJgGutclyiK7rU1baEDKI5C+oBD7WxMEhbjfRNERCKmjUPltOUdjZvqLJ8vpq3LjeyBpGXUE6hMoKGSWoJDXVjhdp35FiTtHZVGXFJPFZNOt/C1eEbvvpSLd2nyoWUWFFRQidW1Xt8pdQVHPWqiUwdzJox7HzOC88n0mjEiXCeXzAhoCyrfCmePmMgWB7rYog2tQvFsTSUeW+ORLFpRkUbPfVYHAiZH1CITQ5w9ON5qgUNh04npegqSf+d9EIUtGKX/2x5FgA9QcSWUrIK9uYnMgaRkFhfJNfKsHSz4xAk4EJb3ge+pxyQWSRSW2jzrksYDJhk1PBarpSuwaCHCNR1GBjEaWU+ERCCjL+ODPH9Ps375h+lQQWS6rR9eqJuCZMGYWQxKbg0jLnBfNgPJ5AQ2ByKuM6GSxvEHaIxAl7hxAQAp7X2XbiyQEhYJIbGx6KhAmXU8VuAhysGEFhfjjjuN7BGTLEnRMM3s9Wl9FsqAIulRAdfSZJndoIIC0TLxoJiknegENAc2CEwgJAk4MQSGZeLfKHRzBgkKV6+RbJY/yyLpKVfejYNKWvEcgCp/DWLKgMN6rTickPEciG+5kWdSzoJAl1WfMDxejIRASKCiknoATR1BIRiVP7apaLu7sV54wCn9a8i5DFtTB5wgpKMT+NgqCeSQuQ0AmNBAhnh3UZ7J6dG29CQqVyFZjO0+B4meCXQMZDhejIaBci9ocN5cpkF29RzlrQGYrnI7QQFD7+8W3ZVnUSYc1ggSF2OvRzhqIsGtAgY6AbFm41V0Qwz1KaCSSR8TcyUP1+SxUUjnFcdMKM6kLQgNZ2BWhzBAYGRmBpUuXwty5c2HevHlwxx13eH73+eefh9NPPx0OPfRQOO2002Dt2rWQdQSSSfCsgQh1Ft54Cib16CFcyZbF78EPlXctRMdoZw1EPSI4iCzml484bRfoAXGVhScLyinLaTmGWBFZMmtjZtqGTzHgmG4RsZntM7LaA3VhCCxfvpxO6HfeeSdcffXVcMstt8Cjjz5a873BwUE4//zzqcFw3333waxZs+CCCy6g17OMQGW5DDS6sQScUKssuaNNK98tJ04W9StPqLwnSXTkjiEOIMNq9AjwZMH4HgHZssiRBcMrh0Y9hjhsOqYimLRphuFjce0vKygU7BGoKieW6sMQIJP4PffcA1deeSXMmDEDjj/+eDjvvPNgxYoVNd995JFHoLW1FS699FLYf//96W8mTJggNBqyBFnBCT+yWN6gQoQnFuEuBUEhv3TDEB1VDh7hBIWC2iq8a9xrxeSXj6ieNf5UOLmy8HvCNfTVKDoKdbCgCHP8dZrucyvgDJAogkLs9boJDaxbtw6KxSJd3duYM2cOrF69GkqugYFcI5/Zqm/kdfbs2bBq1SrIMtJiq2cVcgSc6GcNSJH2dDDvAw6y8Qt1mCso1KiJLBiWLBd/YpCK99cQv3QLCiW7a8IUpGW0h4UlMan7CgoFejzNbctCmC9v3rwZuru7oaWlxbk2ZcoUyhvYtm0b9PT0cN+dNm0a9/vJkyfDhg0bpNNrbGyg/1Rhxf++AL/+26tQjtHZ7F82F5qgUKht+Obm6rULvv4EqMu94SAFFVQre6m50Cius/Frvf0jcO71j0slV2bcbqJ7trY0OX/f8J/PKGsHp/090m1pqV67/Ad/Eqbr5N2jPlqaq3m/5kd/VZ93z3QbufoTfce+9ufnNsHTz21Skq5f2339v1ZFKj/f7yplsQdk+9V+Vrf2Vfpd2dUGfuVftfHt0H1VvvzVYfmW+57Nxhji8fzLjJlsv/vszX9MrbzlEO3/jzf6a/pMq9dvxg3R369+Hf6w+nXP9Kfv0w2XnjWbznnuvmqUITA0NMQZAQT2+9HRUanvur/nh56eCUId+ahY+48tytz1++4+Cbq7J9Rcn7ZX1RgiMNcGVAyJgu6/V7ewzvbdY6cwt+Gw59Qu4T2bW5vpwDtWLGlph712E6c7bW8+Jb9093yH+B77Fwp0RWKvUFTnfe/dPPru3pOdQXDv3bthQntzbZ6nToSNr22PlC/SzqJ03Whtb6F5GB2zIqUT1O+6utor+dm9GwBerkmD1P1+5DcT22rutdc7umDtS1sj5Wuf3eXKP6Gzjdb9wNBYpHRSQTl+vwtxK+2YtnePMK/77DYJ/rjmjZp8drQVYI/dJkEbY8TZ2GPqRHhl046a37jxwqvbaN/v7Gip6atGGQIk5u+eyO33bW1tUt91f88PW7cOKPUIfP6MWfD/Xt0GQ0NjsQyCnTpbYO6BU6C3d6Dms9262+DzZxwGb2zJNikyDEgbtbU1w/Cwd71O7WmHvaZ0COvssP174MJFM6lHIAyIBX7E9F2E9yT40pK5sP6VbaAane0FOPygqcJ0OwoNcMXHZsPL4w++F9pbmuDw6eJ7EFz9ySPglc0DvnUaBRM7muHwg8R1NqmtCS47ezZMaCvA6PAo/efG6cfsD/tMnQgj45O0LHomtsIh+3Z7lteNLy2ZA+tejt92pN/tObmdpktWV2Rg7esbouGK2dPE/e6APSYR1powrx96zz6wa3c7DI1a4ceMd4rHDBGu/PgcWPuPisFRD8+/X7/r7ijApWfNgtc2y9WNbuy1SydMbG0S5vWYQ3eFCS1N0D9upNk4eJ9uGBoYof/cOPuDB8CBu0+C0fFFiRcO3HMSjI2MQe/IWE1fjQoZwzO0ITB1Khm4eilPoFAoOCEAMrl3dXXVfPftt9/mrpH3u+yyi3R6pFOpHASnTGqDD+2zP23gYkCjBKIMnveYsU8P/ZcXEHcY6XBB9VqJkYnbc86BO0dO3yvNPXfupP90wSvdA/bYif6Lc4993jERZk1/h5q+GiLdd+65k+/nbc1N8N5Ddo2UZrkkT37cY0on/acC7n5HBla7fF79zqv8LYVGOHrmrsrHDDfe0dNB/9XT80/g9flBe3XTf6ag6JFPcnbAuw+eGuo37S0FeN+hu0VKl+2rOhEqADF9+nRqALCEv5UrV8LMmTOh0UVAItoBzzzzDGXvEpDXv//97/Q6AoFAIBAIMxDKEGhvb4eFCxfCsmXLYM2aNfDYY49RQaHFixc73oHh4WH694IFC6Cvrw+++tWvwsaNG+kr4Q2ccMIJekqCQCAQCAQiNEJTEq+44gqqIbBkyRK45ppr4OKLL4b58+fTz4jSINEPIOjs7IRbb72VegwWLVpEtxPedttt0NGRDXcXAoFAIBB5QEPZ9t0biM2b+1OLZSHkgfWqHlin6oF1qgdYr+bW6c47T5T6Hh46hEAgEAhEjoGGAAKBQCAQOQYaAggEAoFA5BhoCCAQCAQCkWMYTRZEIBAIBAKhF+gRQCAQCAQix0BDAIFAIBCIHAMNAQQCgUAgcgw0BBAIBAKByDHQEEAgEAgEIsdAQwCBQCAQiBwDDQEEAoFAIHIMNAQQCAQCgcgx0BBAIBAIBCLHyI0hMDIyAkuXLoW5c+fCvHnz4I477kg7S5nDpk2b4JJLLoEjjjgC3vve98J1111H65Xg1VdfhXPOOQcOO+wwOPHEE+GPf/xj2tnNHM4//3y4/PLLnffPP/88nH766XDooYfCaaedBmvXrk01f1nC6OgoXHPNNXD44YfDe97zHvjmN78Jtogq1mt0vPHGG3DBBRfA7Nmz4dhjj4Uf//jHzmdYr+H76MknnwxPP/20cy1oHH3qqafob0gdL168mH5fBXJjCCxfvpx2zDvvvBOuvvpquOWWW+DRRx9NO1uZARlEiREwNDQEK1asgG9961vw29/+Fm666Sb62YUXXghTpkyBe++9F0499VS46KKL4PXXX08725nBww8/DE888YTzfnBwkBoGxHC97777YNasWXQAJtcRwbj22mvpoPkf//Ef8I1vfAN+/vOfw89+9jOs15j4t3/7N+jo6KB1RxZW5Pn/9a9/jfUaEmQB9bnPfQ42bNjgXAsaR8kr+XzRokXw3//939DT0wOf+cxnHAM3Fso5wMDAQHnmzJnlP//5z8617373u+WPfexjqeYrS9i4cWP5wAMPLG/evNm59tBDD5XnzZtXfuqpp8qHHXYYrWcbS5YsKX/nO99JKbfZQm9vb/l973tf+bTTTitfdtll9No999xTPvbYY8ulUom+J6/HH398+d577005t9moz4MPPrj89NNPO9duvfXW8uWXX471GgPbtm2jY8D69eudaxdddFH5mmuuwXoNgQ0bNpQ/9KEPlU855RRan/a8FDSO3nTTTdycNTg4WJ41axY3r0VFLjwC69atg2KxSK1UG3PmzIHVq1dDqVRKNW9Zwc477ww//OEPqbXKYseOHbQeDz74YLpSYOt31apVKeQ0e7jhhhuo9T9t2jTnGqlTUocNDQ30PXkl7lis02CsXLkSOjs7aQjLBlmtklAW1mt0tLW1QXt7O13xj42NwUsvvQR///vfYfr06VivIfCXv/wF3v3ud1MPFYugcZR8TjwuNkhbzJgxQ0kd58IQ2Lx5M3R3d0NLS4tzjUxoxD2zbdu2VPOWFXR1dVFegA1iQN11111w5JFH0vrdZZdduO9PnjwZ3nzzzRRymi386U9/gr/97W/UxccC6zQ6SNx09913hwceeAAWLFgAxx13HHz3u9+lfRbrNTpaW1vhqquuohMYiVGfcMIJ8L73vY/yArBe5XHWWWfRsAqZyFkE1aHOOi5ADkDi2qwRQGC/J4QNRHjceOONlBxEYlWEMCSqX6xbfxBDlPBVyOBKVlsyfRbrNBgkLv3yyy/Df/3Xf1EvABlASR2TgRfrNR5efPFF+MAHPgCf+MQnaHz7K1/5Chx11FFYrwoQVIc667iQF0vWXVn2e/cAjJAzAgjpkhAGDzzwQFq/bs8KqV+sW38Qwuq73vUuztMS1GexToNRKBRoyIqQBIlnwCZa3X333bD33ntjvcbwXhHDn5BaSX3NnDmT7iT6/ve/D3vuuSfWa0wEjaNeYwLx1sZFLkIDU6dOhd7eXsoTsEFWCaSCVVRinkBWAD/60Y+oMfAv//IvTv2+/fbb3PfIe7cbC1G7U+Cxxx6j3BXy76GHHqL/yN9Yp/H4LGTQtI0Agn333ZdufcN6jQ6y64oYUuzkTmLaxMjCeo2PoDr0+pz097jIhSFAyCxklcCSKgihiFi0jY25qAJlK1jibiV7sk866STnOokXPvfcczA8PMzVL7mO8MZPf/pTOvGTWDb5R/Zlk3/kb1J3zzzzjLM1iLwSYhbWaTBIHZGwyz/+8Q/nGiG2EcMA6zU6yIREQi7sqpTU6x577IH1qgBB4yh5Je9tkFABCc+qqONczIIkNrhw4UJYtmwZrFmzhq7CiKAQEWRAyMcGv/e978GnPvUpymQlHhX7H2Fn77rrrnDFFVfQuOFtt91G6/kjH/lI2tk2GmRiIiss+9+ECRPoP/I3Ibn19fXBV7/6Vdi4cSN9JQ8+IWgh/LHffvvBMcccQ/sj2TH0hz/8gfbJM888E+s1BoiR2tzcDF/60peokfX444/DD37wA/j4xz+O9aoAQeMoEWkixhW5Tj4n3yNGGNmBEBvlnIDsubz00kvpPk2y9/1HP/pR2lnKFMg+bLLnVfSP4J///Gf57LPPLr/rXe8qn3TSSeUnn3wy7SxnDkRDwNYRIFi9enV54cKFVAPjIx/5SPm5555LNX9ZQl9fX/mLX/wifd6POuqo8s033+zsccd6jbcH/pxzzinPnj27/MEPfpCOo1iv0cHqCMiMo7/73e/K8+fPLx9yyCFUY+CVV14pq0AD+S++OYFAIBAIBCKLyEVoAIFAIBAIhBhoCCAQCAQCkWOgIYBAIBAIRI6BhgACgUAgEDkGGgIIBAKBQOQYaAggEAgEApFjoCGAQCAQCESOgYYAAoFAIBA5BhoCCAQiMVx++eVUkhaBQJgDNAQQCAQCgcgx0BBAIBAIBCLHQEMAgahjPPHEE7Bo0SJ6VOlRRx1FXfPbt2+nn5FTOE8//XQ47LDD6JHc5HvkpD4bxIV/ww03wBe+8AWYNWsWzJs3D+6++256FOqpp55K73nGGWfAP//5T/r91157Dd75znfSY5RPPvlkOOSQQ+CjH/0od3SqG5s2bYLPfvazMHfuXHqK2qc//WnnfggEIhmgIYBA1Cm2bt0KF110ET2+9JFHHoFbbrkF/vrXv8Ly5cth7dq1cPHFF8NJJ50EDz30EPz85z+Hnp4euPTSS7nz5n/605/C9OnT4Re/+AUcd9xxcO2119LjvJcuXQp33XUXvPXWW/CNb3yDS/f666+nE/r9999PjwT+5Cc/Ca+++mpN/gYHBx2+ALkXSau7u5saD8RAQCAQyQANAQSiTkEmUzKp77bbbrD77rvDnDlznPPjm5qa4Mtf/jKcc845sOeee9LJfvHixdR42LJli3MPcv3cc8+l3/nYxz4GxWKR/p6s3okXgZw3/8ILL3Dpnn/++dQjsP/++8NXvvIVOrkTQ8ONhx9+mJ5hf+ONN8JBBx0EBx54ID3HvrOzU/h9BAKhBwVN90UgECmDTOJkQiar85133hmOPvpoOOaYY+D444+HQqEAkyZNgttuuw1eeuklePnll2HdunX0d5ZlOffYa6+9nL/b29vpKzEKbLS1tcHY2BiXLjESbDQ3N8O73vWuGmOB4Pnnn6dhisMPP5y7PjIyAi+++KKSOkAgEMFAQwCBqGMQt/2FF14Iv//97+Gpp56CL37xi9QzQK6RlT4xDMj7U045BYaGhuh1FmQid6Ox0d+RSIwMFsSwEP2mVCrBvvvuC9///vdrPuvo6AhRSgQCEQdoCCAQdYrVq1dT9zuJ55NYPQkDkFg/MQZaWlroyv3mm292vk9i9ATlcjlWus8++ywlDRKQ0MRzzz1H4/5ukFDAgw8+CBMnTqT8BALiXfj85z8PCxYsgBNPPDFWPhAIhByQI4BA1ClIrP0///M/aQyeuP6Je56QBvfZZx/KG1i/fj387W9/o2z/e++9F7797W/T37FkwSi46aab4He/+x1s3LiRGiHE0yAyBD70oQ/R8MQll1xCjRYSDiC7Goj3wjYkEAiEfqBHAIGoUxCyHlnxk90CxCAg7vkjjzwSbr/9droKJ8RAwh8gmDZtGnzta1+j3gKyoie/jYozzzyTbjt8/fXX6RZD4mnYZZddar5H8kB2C5BdDCRMQUIIM2bMgDvuuCNW+ggEIhwaynH9gAgEAjGuI0C2GP7kJz/hCIMIBMJsYGgAgUAgEIgcAw0BBAKBQCByDAwNIBAIBAKRY6BHAIFAIBCIHAMNAQQCgUAgcgw0BBAIBAKByDHQEEAgEAgEIsdAQwCBQCAQiBwDDQEEAoFAIHIMNAQQCAQCgcgx0BBAIBAIBALyi/8fZtl3xOASuZ0AAAAASUVORK5CYII=", "text/plain": [ "
" ] }, "metadata": {}, "output_type": "display_data" } ], "source": [ "plt.figure()\n", "clustering_pipeline.search(\"TakeDerivative\").plot(add_legend=False); # equivalent to: clustering_pipeline[0].plot();\n", "\n", "plt.figure()\n", "clustering_pipeline.search(\"ComputeSimilarity\").plot(); # equivalent to: clustering_pipeline[1].plot();\n", "\n", "plt.figure()\n", "clustering_pipeline.search(\"SpectralClustering\").plot(add_legend=False); # equivalent to: clustering_pipeline[2].plot();" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Conclusion" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "In this quickstart tutorial, we demonstrated how to use the clustering pipeline to automatically classify different phases in a dataset. We:\n", " \n", "1. Started with a dataset containing multiple measurements with two distinct patterns\n", "2. Applied the clustering pipeline to analyze and classify the data\n", "3. Successfully separated the measurements into two distinct phases\n", "4. Plotted the final results and some of the individual PipelineOp results\n", " \n", "The pipeline was able to automatically detect and group similar measurements, making it a powerful tool for analyzing phase transitions and other classification tasks in scientific data.\n" ] } ], "metadata": { "kernelspec": { "display_name": "venv", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.11.10" } }, "nbformat": 4, "nbformat_minor": 2 }