diff --git "a/Datasets-Construction/OpenSWI-deep/1s-100s-Aug/06_CSEM_South_Atlantic.ipynb" "b/Datasets-Construction/OpenSWI-deep/1s-100s-Aug/06_CSEM_South_Atlantic.ipynb" deleted file mode 100644--- "a/Datasets-Construction/OpenSWI-deep/1s-100s-Aug/06_CSEM_South_Atlantic.ipynb" +++ /dev/null @@ -1,968 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## CSEM_South_Atlantic\n", - "Details of the dataset:\n", - "- Name: \tCSEM_South_Atlantic\n", - "- Title: \tSouth Atlanticn part of the Collaborative Seismic Earth Model (version 2019.12.01)\n", - "- Type:\t3-D Tomography Earth Model\n", - "- Sub Type: \tSH velocity, SV velocity\n", - "- Year\t2019\n", - "\n", - "Author(s):\t\n", - "- Andreas Fichtner\n", - " - ETH Zurich\n", - " - Zurich, Switzerland\n", - "- Lorenzo Colli\n", - " - University of Houston\n", - " - Houston, USA\n", - "\n", - "Reference(s):\t\n", - "- Fichtner, A., Bunge, H.-P., Igel, H., 2006. The adjoint method in seismology - I. Theory. Physics of the Earth and Planetary Interiors 157, 86-104.\n", - "- Fichtner, A., van Herwaarden, D.-P., Afanasiev, M., Simute, S., Krischer, L., Cubuk-Sabuncu, Y., Taymaz, T., Colli, L., Saygin, E., Villasenor, A., Trampert, J., Cupillard, P., Bunge, H.-P., Igel, H., 2018. The Collaborative Seismic Earth Model: Generation I. Geophysical Research Letters 45, doi: 10.1029/2018GL077338.\n", - "- Fichtner, A., Trampert, J., Cupillard, P., Saygin, E., Taymaz, T., Capdeville, Y., Villasenor, A., 2013. Multi-scale full waveform inversion. Geophysical Journal International 194, 534-556.\n", - "- Colli, L., Fichtner, A., Bunge, H.-P., 2013. Full waveform tomography of the upper mantle in the South Atlantic region: Imaging a westward fluxing shallow asthenosphere? Tectonophysics 604, 26-40.\n", - "\n", - "DOI:\tdoi:10.17611/DP/18027479\n", - "\n", - "Depth Coverage:\t0.0 - 500.0 km\n", - "\n", - "Areal Coverage:\tLatitude: -60.0 to 20.0 Longitude: -70.0 to 20.0\n", - "\n", - "Model Description:\n", - " - CSEM_South_Atlantic_2019.12.01 is the South Atlantic part of the Collaborative Seismic Earth Model (CSEM, Fichtner et al., 2018). It has been constructed using multi-scale full seismic waveform inversion, combining spectral-element waveform modelling and adjoint techniques, as described in Fichtner et al. (2006,2013). This submodel has been extracted from the variable-parameterisation CSEM onto a regular grid, readable by EMC tools. While having regional contributions from various sub-inversions, the structure in this model is dominated by the full-waveforms inversion described in Colli et al. (2013).\n", - "\n", - "Data Set Description\t\n", - " - Since the datasets included in the CSEM are too heterogeneous for a brief description, please see Fichtner et al. (2018) for details.\n", - "\n", - "Web Page\t\n", - "- [cos.ethz.ch/research/CSEM.html](https://ds.iris.edu/spud/earthmodel/18027479)\n", - "\n", - "EMC Page\t\n", - "- [ds.iris.edu/ds/products/emc-csem_south_atlantic/](http://ds.iris.edu/ds/products/emc-csem_south_atlantic)\n" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step0: Downloading & Loading the Source Datasets" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "KeysView(\n", - "Dimensions: (depth: 51, latitude: 81, longitude: 91)\n", - "Coordinates:\n", - " * depth (depth) float32 0.0 10.0 20.0 30.0 ... 470.0 480.0 490.0 500.0\n", - " * latitude (latitude) float32 -60.0 -59.0 -58.0 -57.0 ... 18.0 19.0 20.0\n", - " * longitude (longitude) float32 -70.0 -69.0 -68.0 -67.0 ... 18.0 19.0 20.0\n", - "Data variables:\n", - " vsv (depth, latitude, longitude) float32 ...\n", - " vsh (depth, latitude, longitude) float32 ...\n", - "Attributes: (12/27)\n", - " title: Collaborative Seismic Earth Model (CSEM) -...\n", - " id: csem_south_atlantic\n", - " reference: Fichtner et al., GRL (2018); Colli et al.,...\n", - " references: https://cos.ethz.ch/research/CSEM.html\n", - " summary: CSEM extraction of the South Atlantic\n", - " keywords: Collaborative Seismic Earth Model, multi-s...\n", - " ... ...\n", - " geospatial_lon_units: degrees\n", - " geospatial_lon_resolution: 1.0\n", - " geospatial_vertical_min: 0.0\n", - " geospatial_vertical_max: 500.0\n", - " geospatial_vertical_units: km\n", - " geospatial_vertical_positive: down)\n" - ] - } - ], - "source": [ - "import xarray as xr\n", - "import numpy as np\n", - "import matplotlib.pyplot as plt\n", - "\n", - "data_path = \"../../../Datasets/Original/OpenSWI-deep/csem-south-atlantic-2019.12.01.nc\"\n", - "\n", - "# load the .nc file\n", - "data = xr.open_dataset(data_path)\n", - "\n", - "# print the keys of the dataset\n", - "print(data.keys())" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 1: Velocity Profile Extracting\n", - "1. Extracting\n", - "2. De-duplicating" - ] - }, - { - "cell_type": "code", - "execution_count": 2, - "metadata": {}, - "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "(81,) (91,) (51,) (51, 81, 91) (51, 81, 91)\n" - ] - } - ], - "source": [ - "latitude = np.array(data['latitude'].values)\n", - "longitude = np.array(data['longitude'].values)\n", - "depth = np.array(data['depth'].values)\n", - "vsv = np.array(data['vsv'].values)\n", - "vsh = np.array(data['vsh'].values)\n", - "\n", - "LON,LAT = np.meshgrid(longitude,latitude)\n", - "\n", - "# print the shape of the dataset\n", - "print(latitude.shape,longitude.shape,depth.shape,vsv.shape,vsh.shape)\n" - ] - }, - { - "cell_type": "code", - "execution_count": 3, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# average the vsv and vsh\n", - "vs = np.sqrt(vsv*vsh)\n", - "\n", - "# plot the vs\n", - "fig,axs = plt.subplots(1,3,figsize=(12,4))\n", - "axs[0].pcolormesh(LON,LAT,vsv[4,:,:],cmap='seismic')\n", - "axs[0].set_title('vs')\n", - "axs[0].set_xlabel('longitude')\n", - "axs[0].set_ylabel('latitude')\n", - "axs[1].pcolormesh(LON,LAT,vsh[4,:,:],cmap='seismic')\n", - "axs[1].set_title('vsh')\n", - "axs[1].set_xlabel('longitude')\n", - "axs[1].set_ylabel('latitude')\n", - "axs[2].pcolormesh(LON,LAT,vs[4,:,:],cmap='seismic')\n", - "axs[2].set_title('vs')\n", - "axs[2].set_xlabel('longitude')\n", - "axs[2].set_ylabel('latitude')\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 4, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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NjY2Rx4qKitTU1BT1+KlTp/TNN99EtuksPz9fXq836gYAdkI+wkkK8vg4L5gnVfkokZFIP6IRYaYO2qNGjVJRUZG2bNkSuS8UCumDDz6Q3++XJPn9fh05ckR1dXWRbd555x11dHRo3LhxZi4HSIhhWL0COBn5CLsjI5Eq5CPsjnxEd3IS/YZjx47piy++iHy9b98+ffLJJxo8eLBGjhyp+fPna9myZbrooos0atQo/eAHP9Dw4cM1efJkSdKll16qW2+9Vffcc49WrVqltrY2zZs3T3fddZeGDx9u2o4BiaDEAmYgH+FUZCSSRT7CqchHxJLwoL1r1y7dcMMNka8XLFggSZo1a5ZWr16tv/7rv9bx48f1ve99T0eOHNG1116rt956S3369Il8z0svvaR58+bppptuUlZWliorK/X000+bsDtA71BiATOQj3AqMhLJIh/hVOQjYvEYhv0udgiFQvL5fAoGg7zXBqZobj2l0iUbJUn1j01Qv/yEX4OCzTg1R5y6X7AWGekuTs4RJ+8brEE+uksiGWKL1nEgnSixAIDYyEgA6B75iLMxaAMAAAAAYCIGbQAAEJNhGGpubbd6GQCQkez3JlykC28iAAAA3TIMQ3esqlXd/sNWLwUAMg6N4+gJZ7QBAEC3TrS1Rw3ZZSWDaNQFgN+hcRw94Yw2AAA4p12LyzWkX548tP0AQBc1c/3kI6JwRhsAAJxTQV42B5EAEAPxiM4YtAEAAAAAMBGDNtAJ7ZEAcBp5CABA7zBoA51MXVUrg6NLAC5Hmy4AAL3HoA1I6pubrdJhXknSnkMhnWjjM2MBuBttugAA9B6DNiDJ4/GoZq7f6mUAQEaiTRcAgMQwaAO/wzEkAHSPfAQAIDEM2kA3eIs2ALcjBwEA6D0GbaAbFKIBcDOK0AAASA6DNvA7FKIBwGkUoQEAkBwGbeB3KEQDgK4oQgMAIHEM2sBZOJYEgGjkIgAAiWPQBgAAAADARAzaQAx0oQEAAADoDQZtIAaaxwEAAAD0BoM2cBaaxwEAAAAki0EbOAvN4wAAAACSxaANdELDLgAAAIBkMGgDPeAt2gAAADgXjhnRGYM20AMK0QAAAHAuHDOiMwZtoBMK0QAAAHAuHDOiJwzaQCcUogEAAOBcOGZETxi0gW5QiAYAAIBz4ZgRsTBoAwAAAABgIgZt4BzotQDgNuQeAADJYdAGzoEWSQBuYhiGpq6qtXoZAADYGoM20A1aJAG41Ym2du05FJIklQ7zqm9utsUrAgDAfhi0gW7QIgkAUs1cvzw0/QAAkDAGbSAGji0BuB05CABA7zBoAwAAAABgIgZtIA50oQEAAKAnHC/ibAzaQBxoHgcAAEBPOF7E2Ri0gRhoHgcAAEBPOF5ELAzaQAw0jwMAAKAnHC8iFgZtoAc07gIAAKAnHC+iOzlWLwCwi+bWM5cC9c3N5rNlATgeuQcAiQnnJpkJBm0gTmXLNp/575JBqpnrJ0ABOBq5BwCJCecmmQkuHQd60Dc3W2Ulg7rcv2v/YcouADgSuQcAiekuN8lMcEYb6EG44CIclM2t7VFneADAacg9AEjM2blJZiIsoTPay5cv1+///u9rwIABGjp0qCZPnqy9e/dGbXPy5ElVV1dryJAh6t+/vyorK9XY2Bi1TUNDgyoqKlRQUKChQ4dq4cKFOnXqVPJ7A6SAx+NRQV7O727ZVi8HGYp8hJOQezAbGQmnO5ObZCZOS2jQ3rp1q6qrq7Vjxw5t2rRJbW1tuuWWW3T8+PHINvfff79ee+011dTUaOvWrTp48KCmTJkSeby9vV0VFRVqbW3V9u3b9eKLL2r16tVasmSJeXsFAGlGPgJAbGQkANcxktDU1GRIMrZu3WoYhmEcOXLEyM3NNWpqaiLbfPbZZ4Yko7a21jAMw3jjjTeMrKwsIxAIRLZZuXKl4fV6jZaWlrh+bzAYNCQZwWAwmeUDCTve0maUPLTBKHlog/GboyeN4y1tRkdHh9XLQi+kOkfIRzhFd7lH9jlbOnKEjIRTkZnOlkiGJFWGFgwGJUmDBw+WJNXV1amtrU3l5eWRbUaPHq2RI0eqtrZWklRbW6srrrhChYWFkW0mTJigUCik+vr6bn9PS0uLQqFQ1A2wWtmyzSpdslFTV9XKMAyrl4MMQz7CicK5R/YhWWQk3IDMdLdeD9odHR2aP3++/uAP/kCXX365JCkQCCgvL08DBw6M2rawsFCBQCCyzdkBGX48/Fh3li9fLp/PF7kVFxf3dtlAUmiVRDzIRzgJLeQwGxkJJyMzEdbr1vHq6mp9+umneu+998xcT7cWLVqkBQsWRL4OhUIEJSxBqyTiQT7CSWghh9nISDgZmYmwXg3a8+bN04YNG7Rt2zaNGDEicn9RUZFaW1t15MiRqFckGxsbVVRUFNnmww8/jPp54UbJ8Dad5efnKz8/vzdLBUwXbpUEukM+wonIPZiFjIQbkJmQErx03DAMzZs3T+vXr9c777yjUaNGRT0+duxY5ebmasuWLZH79u7dq4aGBvn9fkmS3+/X7t271dTUFNlm06ZN8nq9Ki0tTWZfAMs0t7arufUU771xMfIRbkT2IV5kJEBmuk1CL7VUV1drzZo1+o//+A8NGDAg8n4Yn8+nvn37yufzac6cOVqwYIEGDx4sr9ere++9V36/X+PHj5ck3XLLLSotLdWMGTO0YsUKBQIBLV68WNXV1bziCNsKXxJUVjJINXP98ng8Fq8I6UY+wo3IPsSLjATITLdJ6Iz2ypUrFQwG9Ud/9EcaNmxY5LZ27drINk899ZQmTZqkyspKXX/99SoqKtIvfvGLyOPZ2dnasGGDsrOz5ff7dffdd2vmzJlaunSpeXsFpAHFaDgb+Qi3IPvQG2Qk3IrMdC+PYcNrF0KhkHw+n4LBoLxer9XLgYsZhtGlGG3P0gm8L8cGnJojTt0vZBayz9mcnCNO3jdkLjLTORLJEJ5dIAmUXQBwI7IPAOJHZrpTrz9HGwAAAAAAdMVLK4DJmltPv+emb242JRcAXIPsA4D4kZnOx6ANmIxGSQBuRPYBQPzITOfj0nHABDRKAnAjsg8A4kdmugtntAETeDwe1cz1d2mUBAAnI/sAIH5kprswaAMmoVESgBuRfQAQPzLTPbh0HAAAAAAAE/FyCpBCNEoCcCOyDwDiR2Y6E4M2kEI0SgJwI7IPAOJHZjoTl44DJqNREoAbkX0AED8y0/k4ow2YjEZJAG5E9gFA/MhM52PQBlKARkkAbkT2AUD8yExn49JxIE2aW9tlGIbVywCAtGpubVdz6ynyDwDiwPGiczBoA2lStmyzpq6qJTwBuErZss0qXbKR/AOAOHC86BwM2kAKdS66oOQCgBtQ8gMA8eN40Zl4UwCQQuGii6+Pt1JyAcA1KPkBgPhxvOhMDNpAip0uusi2ehkAkFaU/ABA/DhedB4uHQcAAAAAwEQM2kCa0cALwK1o0wWA+HC8aH9c0wWkWfi9N2Ulg1Qz1y+Px2PxigAgPcqWbSb7ACAOHC/aH2e0gTSggReAW9GmCwDx4XjRWTijDaQBDbwA3Io2XQCID8eLzsKgDaQJDbwA3Io2XQCID8eLzsGl44CFKAYC4EaU/ABA/MhMe+LlEsBCFAMBcCNKfgAgfmSmPXFGG0gzioEAuBElPwAQPzLT/jijDaQZxUAA3IiSHwCIH5lpfwzagAUoBgLgRpT8AED8yEx749JxAAAAAABMxKANZADaJAG4FZ++AADxIzPtg0EbyABlyzardMlGTV1VS3gCcJWyZZvJPgCIE5lpHwzagEVokwTgVnz6AgDEj8y0J95dD1iENkkAbsWnLwBA/MhMe2LQBixEmyQAt+LTFwAgfmSm/XDpOAAAAAAAJmLQBjIMbZIA3IhPXwCA+JGZmY9rVoEMU7Zss8pKBqlmrl8ej8fq5QBAWoTfd0j+AcC5kZmZjzPaQAagTRKAG/HpCwAQPzLTXjijDWQA2iQBuBGfvgAA8SMz7YVBG8gQtEkCcCM+fQEA4kdm2gfPEpChmltPXwbUNzeb990AcBXyDwDiR2ZmJgZtIENRcgHArcg/AIgfmZmZKEMDMgglFwDcivwDgPiRmZmPM9pABqHkAoBbkX8AED8yM/MldEZ75cqVGjNmjLxer7xer/x+v958883I4ydPnlR1dbWGDBmi/v37q7KyUo2NjVE/o6GhQRUVFSooKNDQoUO1cOFCnTp1ypy9ARwgXHJBMZq9kI9A8sg/5yIjAfORmZktoUF7xIgReuKJJ1RXV6ddu3bpxhtv1O233676+npJ0v3336/XXntNNTU12rp1qw4ePKgpU6ZEvr+9vV0VFRVqbW3V9u3b9eKLL2r16tVasmSJuXsFAGlGPgJAbGQkANcxkjRo0CDj+eefN44cOWLk5uYaNTU1kcc+++wzQ5JRW1trGIZhvPHGG0ZWVpYRCAQi26xcudLwer1GS0tL3L8zGAwakoxgMJjs8oGMdbylzSh5aINR8tAG4zdHTxrHW9qMjo4Oq5flGOnIEfIR6B3yz1rpyhEyEjAHmZk+iWRIr8vQ2tvb9fLLL+v48ePy+/2qq6tTW1ubysvLI9uMHj1aI0eOVG1trSSptrZWV1xxhQoLCyPbTJgwQaFQKPKKZndaWloUCoWiboCblC3brNIlGzV1Va0Mw7B6OTgH8hEwD/nnPGQkkDpkZuZIeNDevXu3+vfvr/z8fM2dO1fr169XaWmpAoGA8vLyNHDgwKjtCwsLFQgEJEmBQCAqIMOPhx+LZfny5fL5fJFbcXFxossGbIc2SfshHwFzkH/OREYCqUFmZqaEW8cvueQSffLJJwoGg3rllVc0a9Ysbd26NRVri1i0aJEWLFgQ+ToUChGUcDzaJO2HfATMQf45ExkJpAaZmZkSHrTz8vL07W9/W5I0duxY7dy5Uz/5yU80bdo0tba26siRI1GvSDY2NqqoqEiSVFRUpA8//DDq54UbJcPbdCc/P1/5+fmJLhWwvXCbJOyBfATMQ/45DxkJpA6ZmXl6/R7tsI6ODrW0tGjs2LHKzc3Vli1bIo/t3btXDQ0N8vv9kiS/36/du3erqakpss2mTZvk9XpVWlqa7FIAV2hubVdz6yned2MD5CNgLvLPWchIILWaW9vJSwsl9LLHokWLNHHiRI0cOVJHjx7VmjVr9O6772rjxo3y+XyaM2eOFixYoMGDB8vr9eree++V3+/X+PHjJUm33HKLSktLNWPGDK1YsUKBQECLFy9WdXU1rzYCcQpfDlRWMkg1c/3yeDwWrwgS+QikA/lnX2QkkH5lyzaTlxZKaNBuamrSzJkzdejQIfl8Po0ZM0YbN27UzTffLEl66qmnlJWVpcrKSrW0tGjChAl69tlnI9+fnZ2tDRs26Pvf/778fr/69eunWbNmaenSpebuFeAw4ZKLXfsPR+4Ll1xwmVBmIB+B1CD/nIGMBNKjc2aSl9bxGDa8niAUCsnn8ykYDMrr9Vq9HCAtDMPoUnKxZ+kEgrOXnJojTt0vuBv5l15OzhEn7xsQZhiGvj7eSl6mQCIZwl8csAlKLgC4FfkHAPE7nZnZVi/D9ZIuQwMAAAAAAGfw8jBgY82t7ZJOvx+HkgsAbkL+AUB8wnkpkZnpxKAN2BgNvADcivwDgPiE81IiM9OJS8cBmwm3SZ4t3CgJAE5G/gFAfLrLS4nMTCfOaAM24/F4VDPX36WBFwCcjvwDgPicnZeSyEwLMGgDNkQDLwC3Iv8AID7kpbW4dBwAAAAAABMxaAMOYRhWrwAArNHc2i6DEASAuBCX6cGgDTjE1FW1HGgCcKWyZZvJQACIE3mZHgzagI31zc1W6TCvJGnPoRAtkgBco3OjLk26ABAbx4zpx6AN2Fi4URIA3Cacf7sWl1u9FADIeBwzph+DNmBzHo/VKwAAa5xu1M22ehkAYAscM6YXgzbgILzdBoCbkYEAEB/yMvUYtAEHodwCgJuRgQAQH/Iy9Ri0AZuj3AKAm5GBABAf8jK9GLQBm6PcAoCbkYEAEB/yMr0YtAEHoNwCgJuRgQAQH/IyfRi0AQAAAAAwEYM24DDNre2UWwBwLTIQAOJDXqYWgzbgMGXLNtMkCcC1yEAAiA95mVoM2oAD9M3NVlnJoMjXu/YfpkkSgGuQgQAQH/IyfRi0AQcIt0juWlxu9VIAIO3IQACID3mZPgzagEN4PB4V5GVbvQwAsAQZCADxIS/Tg0EbcCjebgPAzchAAIgPeZkaDNqAQ1FuAcDNyEAAiA95mRoM2oCD9M3NVukwryRpz6EQ5RYAXIUMBID4kJepx6ANOEi44AIA3IgMBID4kJepx6ANOIzHY/UKAMA6ZCAAxIe8TC0GbQAAAAAATMSgDThYc2s75RYAXIsMBID4kJfmY9AGHKxs2WaaJAG4FhkIAPEhL83HoA04TN/cbJWVDIp8vWv/YZokAbgGGQgA8SEvU4tBG3CYcIvkrsXlVi8FANKODASA+JCXqcWgDTiQx+NRQV621csAAEuQgQAQH/IydRi0AQAAAAAwEYM24AL0WgBwM9p0ASA+RKV5GLQBF6BFEoCb0aYLAPEhK83DoA04VN/cbJUO80qS9hwK0SIJwFVo0wWA+HDMmBoM2oBDhZskAcCNaNMFgPhwzJgaDNqAg3k8Vq8AAKxDmy4AxIdjRvMxaAMuwdttALgdOQgA50aBpDkYtAGXoNwCgNuRgwBwbhRImoNBG3Awyi0AuB05CADnRoGk+Ri0AQej3AKA25GDAHBuFEiaL6lB+4knnpDH49H8+fMj9508eVLV1dUaMmSI+vfvr8rKSjU2NkZ9X0NDgyoqKlRQUKChQ4dq4cKFOnXqVDJLARAD5RbWIB+BzEEOZhbyEchMFEiaq9eD9s6dO/Xcc89pzJgxUffff//9eu2111RTU6OtW7fq4MGDmjJlSuTx9vZ2VVRUqLW1Vdu3b9eLL76o1atXa8mSJb3fCwDIIOQjAHSPfATgFr0atI8dO6aqqir98z//swYNOnMtfzAY1E9/+lP9+Mc/1o033qixY8fqhRde0Pbt27Vjxw5J0ttvv609e/bo3/7t33TVVVdp4sSJevzxx/XMM8+otbXVnL0C0C06LVKPfAQyGzloHfIRsBfyMjm9GrSrq6tVUVGh8vLoa/jr6urU1tYWdf/o0aM1cuRI1dbWSpJqa2t1xRVXqLCwMLLNhAkTFAqFVF9f3+3va2lpUSgUiroBSBwNkqlHPgKZjRy0TrrzUSIjgWSQl8lJeNB++eWX9dFHH2n58uVdHgsEAsrLy9PAgQOj7i8sLFQgEIhsc3ZIhh8PP9ad5cuXy+fzRW7FxcWJLhtwLRp304d8BDITOWg9K/JRIiOBRJGX5klo0D5w4IDuu+8+vfTSS+rTp0+q1tTFokWLFAwGI7cDBw6k7XcDdkfjbnqQj0DmIgetZVU+SmQkkCjy0jwJDdp1dXVqamrSd77zHeXk5CgnJ0dbt27V008/rZycHBUWFqq1tVVHjhyJ+r7GxkYVFRVJkoqKirq0SIa/Dm/TWX5+vrxeb9QNQPxo3E098hHIbOSgdazKR4mMBHqDvDRHTiIb33TTTdq9e3fUfbNnz9bo0aP10EMPqbi4WLm5udqyZYsqKyslSXv37lVDQ4P8/tOvjPj9fv3t3/6tmpqaNHToUEnSpk2b5PV6VVpaasY+AehBc2tqLwHqm5stjwsTmnwE7CPVORjm1jzsjHwE7Ivjxt5LaNAeMGCALr/88qj7+vXrpyFDhkTunzNnjhYsWKDBgwfL6/Xq3nvvld/v1/jx4yVJt9xyi0pLSzVjxgytWLFCgUBAixcvVnV1tfLz803aLQCxlC3bnNqfXzJINXP9jg3NWMhHwD5SnYOR3+PSPOyMfATsi+PG3uv152jH8tRTT2nSpEmqrKzU9ddfr6KiIv3iF7+IPJ6dna0NGzYoOztbfr9fd999t2bOnKmlS5eavRQAv9M3N1tlJYPOvaEJdu0/THFGDOQjYJ105mAYeRg/8hHIHBw3msNj2LCzPRQKyefzKRgM8l4bIE6GYaQ0yJpb2yOveu5ZOkEFeQldMJN2Ts0Rp+4XYIZU52CY3fKwMyfniJP3DTATx43dSyRD7LFHAJLm8XhsE2IAkArkIADEh7xMnumXjgMAAAAA4Ga8TAHAdOGGSic3SQJAPM5u7CUTAaArp+YkgzYA04Xfc+PkJkkAiMfZjb1kIgB05dSc5NJxAKborqHSyU2SABBLrMZeMhEATnNDTnJGG4ApPB6Paub6daKtPapJEgDc5uw8lEQmAkAnbshJBm0ApqGhEgBOIw8BoGdOz0kuHQcAAAAAwETOfQkBQEZwapMkAPQGmQgAPXNKTjJoA0gppzZJAkBvkIkA0DOn5CSXjgMwnRuaJAEgXmQiAPTMiTnJGW0ApnNDkyQAxItMBICeOTEnGbQBpITTmyQBIBFkIgD0zGk56Zw9AWAL4YILO5dbAIBZnFL6AwCpYtecZNAGkFbhy4DsXG4BAGZxSukPAKSKXXOSMjQAKdddwYWdyy0AIBlOLP0BADM5ISc5ow0g5c4uuHBCuQUAJMOJpT8AYCYn5CSDNoC0cFrBBQAkg0wEgJ7ZPSe5dBwAAAAAABPZ9yUCALZn1xZJAEgVchEAemaXT7Bh0AZgGbu2SAJAqpCLANAzu3yCDZeOA0grJ7RIAoCZyEUA6JkdP8GGM9oA0soJLZIAYCZyEQB6ZsdPsGHQBpB2dm+RBACzkYsA0DO75aR9VgrA8exSbgEA6UI5GgDElskZyaANIGPYpdwCANKFcjQAiC2TM5IyNACWsmO5BQCkEuVoABCbXTKSM9oALGXHcgsASCXK0QAgNrtkJIM2AMvZrdwCAFKNXASA2OyQkVw6DgAAAACAiTL7ZQAArkUDOQB0RTYCQGyZlJEM2gAyEg3kANAV2QgAsWVSRnLpOICMQQM5AHRFNgJAbJmakZzRBpAxaCAHgK7IRgCILVMzkkEbQEaxQ4skAKQb2QgAsWViRnLpOAAAAAAAJsqssR8AupFJDZIAkCnC2SiRjwDQmdUZyaANIONlUoMkAGSKs9+HSD4CQDSrM5JLxwFkpExtkAQAK3WXjRL5CABSZmUkZ7QBZKRMbZAEACudnY2SyEcAOEsmZSSDNoCMlYkNkgBgNbIRAGLLlIy0fgUAkACriy0AIFORjwAQW7rLdRm0AdiK1cUWAJCpyEcAiC3d5bqUoQHIeJlUbAEAmYR8BIDYrCzX5Yw2gIyXScUWAJBJyEcAiM3Kct2Ezmg/+uij8ng8UbfRo0dHHj958qSqq6s1ZMgQ9e/fX5WVlWpsbIz6GQ0NDaqoqFBBQYGGDh2qhQsX6tSpU+bsDQDHChdbnL5lW72cLshHAFbJ9HyUyEgA1jmTkenNx4TPaF922WXavPnMKwE5OWd+xP3336/XX39dNTU18vl8mjdvnqZMmaL3339fktTe3q6KigoVFRVp+/btOnTokGbOnKnc3Fz93d/9nQm7AwDWIR8BIDYyEoCbJDxo5+TkqKioqMv9wWBQP/3pT7VmzRrdeOONkqQXXnhBl156qXbs2KHx48fr7bff1p49e7R582YVFhbqqquu0uOPP66HHnpIjz76qPLy8pLfIwCukkktu+QjgEySSfkokZEAMsfZ+SilJiMTLkP7/PPPNXz4cF1wwQWqqqpSQ0ODJKmurk5tbW0qLy+PbDt69GiNHDlStbW1kqTa2lpdccUVKiwsjGwzYcIEhUIh1dfXx/ydLS0tCoVCUTcAkE43SJYu2ajSJRstL/4hHwFkkkzKR4mMBJA5zs7HVGVkQoP2uHHjtHr1ar311ltauXKl9u3bp+uuu05Hjx5VIBBQXl6eBg4cGPU9hYWFCgQCkqRAIBAVkOHHw4/Fsnz5cvl8vsituLg4kWUDcJhYLbtWIh8BZIJMzEeJjARgvXTnY0KXjk+cODHy32PGjNG4ceNUUlKidevWqW/fvqYvLmzRokVasGBB5OtQKERQAi7WuWU3rG+udSVA5COATJCJ+SiRkQCsFysfpdRkZFKfoz1w4EBdfPHF+uKLL1RUVKTW1lYdOXIkapvGxsbI+3GKioq6NEiGv+7uPTth+fn58nq9UTcA7hbdsnv6ZvX7D89GPgKwSqbno0RGArBGd/mYqoxMatA+duyYvvzySw0bNkxjx45Vbm6utmzZEnl87969amhokN/vlyT5/X7t3r1bTU1NkW02bdokr9er0tLSZJYCABmFfASA2MhIAE6X0KXjDz74oG677TaVlJTo4MGDeuSRR5Sdna3p06fL5/Npzpw5WrBggQYPHiyv16t7771Xfr9f48ePlyTdcsstKi0t1YwZM7RixQoFAgEtXrxY1dXVys/PT8kOAkA6kI8AEBsZCcBtEhq0v/rqK02fPl1ff/21zj//fF177bXasWOHzj//fEnSU089paysLFVWVqqlpUUTJkzQs88+G/n+7OxsbdiwQd///vfl9/vVr18/zZo1S0uXLjV3rwAgzchHAIiNjATgNh7DMAyrF5GoUCgkn8+nYDDIe20A9IpTc8Sp+wUgfZycI07eNwCpl0iGJPUebQAAAAAAEI1BGwAAAAAAEzFoAwAAAABgIgZtAAAAAABMxKANAAAAAICJGLQBAAAAADBRQp+jnSnCn0gWCoUsXgkAuwrnhw0/4bBH5COAZDk1HyUyEkByEslHWw7aR48elSQVFxdbvBIAdnf06FH5fD6rl2Ea8hGAWZyWjxIZCcAc8eSjx7Dhy5UdHR06ePCgBgwYII/HY/Vy4hYKhVRcXKwDBw6c8wPOnYT9dtd+S/bYd8MwdPToUQ0fPlxZWc55F00q89EOz2u68Tfpir9JV3b7mzg1H6XMOoa027+LVOBvwN9AstffIJF8tOUZ7aysLI0YMcLqZfSa1+vN+H9EqcB+u0+m77vTztRI6cnHTH9ercDfpCv+Jl3Z6W/ixHyUMvMY0k7/LlKFvwF/A8k+f4N489FZL1MCAAAAAGAxBm0AAAAAAEzEoJ1G+fn5euSRR5Sfn2/1UtKK/XbXfkvu3ncn43ntir9JV/xNuuJvgu7w74K/gcTfQHLu38CWZWgAAAAAAGQqzmgDAAAAAGAiBm0AAAAAAEzEoA0AAAAAgIkYtAEAAAAAMBGDtklWrlypMWPGRD5o3e/3680334y5/erVq+XxeKJuffr0SeOKU+OJJ56Qx+PR/Pnze9yupqZGo0ePVp8+fXTFFVfojTfeSM8CUySe/XbKc/7oo4922Y/Ro0f3+D1Oe76diAw7N7fmWyxuyr2ekInoDpnaFRnq3tx0a04yaJtkxIgReuKJJ1RXV6ddu3bpxhtv1O233676+vqY3+P1enXo0KHIbf/+/Wlcsfl27typ5557TmPGjOlxu+3bt2v69OmaM2eOPv74Y02ePFmTJ0/Wp59+mqaVmive/Zac85xfdtllUfvx3nvvxdzWac+3U5FhPXNrvsXixtzrCZmIzsjUaGQouenKnDSQMoMGDTKef/75bh974YUXDJ/Pl94FpdDRo0eNiy66yNi0aZPxh3/4h8Z9990Xc9s777zTqKioiLpv3Lhxxl/+5V+meJXmS2S/nfKcP/LII8aVV14Z9/ZOer7dxk0Z1hO35lssbsy9npCJiJdbM5UMJTfdmpOc0U6B9vZ2vfzyyzp+/Lj8fn/M7Y4dO6aSkhIVFxef81XOTFddXa2KigqVl5efc9va2tou202YMEG1tbWpWl7KJLLfknOe888//1zDhw/XBRdcoKqqKjU0NMTc1knPt1u4McN64tZ8i8WtudcTMhE9cXumkqHkpuTOnMyxegFOsnv3bvn9fp08eVL9+/fX+vXrVVpa2u22l1xyiX72s59pzJgxCgaDevLJJ3XNNdeovr5eI0aMSPPKk/Pyyy/ro48+0s6dO+PaPhAIqLCwMOq+wsJCBQKBVCwvZRLdb6c85+PGjdPq1at1ySWX6NChQ3rsscd03XXX6dNPP9WAAQO6bO+U59sN3JphPXFrvsXi1tzrCZmIWMhUMlQiNyX35iSDtokuueQSffLJJwoGg3rllVc0a9Ysbd26tdtQ9fv9Ua9qXnPNNbr00kv13HPP6fHHH0/nspNy4MAB3Xfffdq0aZPtixoS0Zv9dspzPnHixMh/jxkzRuPGjVNJSYnWrVunOXPmWLgyJMuNGdYTt+ZbLG7OvZ6QiYjF7ZlKhpKbYW7NSQZtE+Xl5enb3/62JGns2LHauXOnfvKTn+i555475/fm5ubq937v9/TFF1+kepmmqqurU1NTk77zne9E7mtvb9e2bdv0j//4j2ppaVF2dnbU9xQVFamxsTHqvsbGRhUVFaVlzWbozX53ZtfnvLOBAwfq4osvjrkfTni+3cKNGdYTt+ZbLORefMhEhLk9U8lQcjMWt+Qk79FOoY6ODrW0tMS1bXt7u3bv3q1hw4aleFXmuummm7R792598sknkVtZWZmqqqr0ySefdBsefr9fW7Zsibpv06ZNPb5vKdP0Zr87s+tz3tmxY8f05ZdfxtwPJzzfbuWGDOuJW/MtFnIvPmQiYnFbppKh5GYsrslJq9vYnOLhhx82tm7dauzbt8/4n//5H+Phhx82PB6P8fbbbxuGYRgzZswwHn744cj2jz32mLFx40bjyy+/NOrq6oy77rrL6NOnj1FfX2/VLpimc5ti531///33jZycHOPJJ580PvvsM+ORRx4xcnNzjd27d1uwWvOca7+d8pw/8MADxrvvvmvs27fPeP/9943y8nLjvPPOM5qamgzDcM/z7TRkWHzcmm+xuCX3ekImojtkavfIUHfmpltzkkvHTdLU1KSZM2fq0KFD8vl8GjNmjDZu3Kibb75ZktTQ0KCsrDMXEBw+fFj33HOPAoGABg0apLFjx2r79u0xSzLsrPO+X3PNNVqzZo0WL16sv/mbv9FFF12kV199VZdffrmFqzSfU5/zr776StOnT9fXX3+t888/X9dee6127Nih888/X5J7n2+7I8N6h3/v0dz474RMRHfI1Pjwvw93/Ftwa056DMMwrF4EAAAAAABOwXu0AQAAAAAwEYM2AAAAAAAmYtAGAAAAAMBEDNoAAAAAAJiIQRsAAAAAABMxaAMAAAAAYCIGbQAAAAAATMSgDQAAAACAiRi0AQBwsdWrV2vgwIFWLwMAAEdh0AYAAAAAwEQM2gAAAAAAmIhBG7bxT//0Txo+fLg6Ojqi7r/99tv153/+5/rlL3+pG264QQMGDJDX69XYsWO1a9cuhUIh9e3bV2+++WbU961fv14DBgxQc3NzOncDAEzX23w828aNG3XppZeqf//+uvXWW3Xo0KF07gIApI0ZmQmcC4M2bGPq1Kn6+uuv9V//9V+R+7755hu99dZbqqqqUlVVlUaMGKGdO3eqrq5ODz/8sHJzc+X1ejVp0iStWbMm6ue99NJLmjx5sgoKCtK9KwBgqt7mY1hzc7OefPJJ/eu//qu2bdumhoYGPfjgg1bsCgCkXLKZCcQjx+oFAPEaNGiQJk6cqDVr1uimm26SJL3yyis677zzdMMNN6ihoUELFy7U6NGjJUkXXXRR5Hurqqo0Y8YMNTc3q6CgQKFQSK+//rrWr19vyb4AgJmSyUdJamtr06pVq3ThhRdKkubNm6elS5emdycAIE2SzUwgHpzRhq1UVVXp5z//uVpaWiSdPit91113KSsrSwsWLNBf/MVfqLy8XE888YS+/PLLyPd997vfVW5urv7zP/9TkvTzn/9cXq9X5eXlluwHAJitt/koSQUFBZEhW5KGDRumpqamtK4fANIpmcwE4sGgDVu57bbbZBiGXn/9dR04cED//d//raqqKknSo48+qvr6elVUVOidd95RaWlp5Ix1Xl6e7rjjjsjl42vWrNG0adOUk8NFHQCcobf5KKnLJZEej0eGYaR1/QCQTslkJhAPj8H/k8JmZs+erVAopHHjxumFF17QZ5991u1206dP1/HjxyNnsbdu3aqbb75ZH3/8scaMGaPt27dr3Lhx6Vw6AKRUb/Jx9erVmj9/vo4cORJ5/NVXX9Wf/MmfMGwDcLTeHlMC8eB0HmynqqpKkyZNUn19ve6++25J0okTJ7Rw4ULdcccdGjVqlL766ivt3LlTlZWVke+7/vrrVVRUpKqqKo0aNYohG4Dj9DYfAcCNyEykEoM2bOfGG2/U4MGDtXfvXv3pn/6pJCk7O1tff/21Zs6cqcbGRp133nmaMmWKHnvsscj3eTweTZ8+XStWrNCSJUusWj4ApExv8xEA3IjMRCpx6TgAAAAAACaiDA0AAAAAABMxaAMAAAAAYCIGbQAAAAAATMSgDQAAAACAiRi0AQAAAAAwEYM2AAAAAAAmYtAGAAAAAMBEDNoAAAAAAJiIQRsAAAAAABMxaAMAAAAAYCIGbQAAAAAATPT/PLqMRFfWrO4AAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "# single station comparsion\n", - "fig,axs = plt.subplots(1,3,figsize=(12,4))\n", - "axs[0].step(vsv[:,0,0],depth)\n", - "axs[0].set_title('vsv')\n", - "axs[0].set_xlabel('vsv')\n", - "axs[0].invert_yaxis()\n", - "axs[1].step(vsh[:,0,0],depth)\n", - "axs[1].set_title('vsh')\n", - "axs[1].set_xlabel('vsh')\n", - "axs[1].invert_yaxis()\n", - "axs[2].step(vs[:,0,0],depth)\n", - "axs[2].set_title('vs')\n", - "axs[2].set_xlabel('vs')\n", - "axs[2].invert_yaxis()\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 2: Quality Control & Interpolation" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import sys\n", - "sys.path.append('../../../')\n", - "from SWIDP.process_1d_deep import *\n", - "from SWIDP.dispersion import *" - ] - }, - { - "cell_type": "code", - "execution_count": 6, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(51, 81, 91)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(7371, 51)" - ] - }, - "execution_count": 7, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vs = vs.reshape(vs.shape[0],-1).T\n", - "vs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 8, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(7371, 301)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# -------------------------------------------------------\n", - "# interp to 1 km thickness\n", - "# -------------------------------------------------------\n", - "from scipy.interpolate import interp1d\n", - "\n", - "max_depth = 300+0.1\n", - "depth_interp = np.concatenate([\n", - " np.arange(0, max_depth, 1)\n", - "])\n", - "vs_models = vs_interp = np.zeros((vs.shape[0],depth_interp.shape[0]))\n", - "for i in range(vs.shape[0]):\n", - " vs_temp = vs[i,:]\n", - " depth_interp_temp = depth_interp[:np.argmin(np.abs(depth_interp-depth.max()))]\n", - " f = interp1d(depth.reshape(-1),vs_temp,kind='nearest')\n", - " vs_temp = f(depth_interp_temp)\n", - " vs_interp[i,:len(vs_temp)] = vs_temp\n", - "vs_interp[:,len(vs_temp):] = vs_interp[:,len(vs_temp)-1].reshape(-1,1)\n", - "vs_interp.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 9, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 5\n", - "ncols = 5\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "for i in range(nrows):\n", - " for j in range(ncols):\n", - " sta_idx = np.random.randint(0,len(vs))\n", - " axs[i,j].step(vs[sta_idx,:],depth,c='k')\n", - " axs[i,j].step(vs_interp[sta_idx,:],depth_interp,c='r')\n", - " axs[i,j].invert_yaxis()\n", - " axs[i,j].set_title(f'sta_idx: {sta_idx}')\n", - " if j == 0:\n", - " axs[i,j].set_ylabel('Depth (km)')\n", - " else:\n", - " axs[i,j].tick_params(labelleft=False)\n", - " if i == nrows-1:\n", - " axs[i,j].set_xlabel('Vs (km/s)')\n", - " else:\n", - " axs[i,j].tick_params(labelbottom=False)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 10, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6d2a7007f93a440ab3cf3053f4c099ed", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/7371 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 5\n", - "ncols = 5\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "for i in range(nrows):\n", - " for j in range(ncols):\n", - " sta_idx = np.random.randint(0,len(vs))\n", - " axs[i,j].step(vs_interp[sta_idx,:],depth_interp,c='k')\n", - " axs[i,j].step(vs_interp_rm_sandwich[sta_idx,:],depth_interp,c='r')\n", - " axs[i,j].invert_yaxis()\n", - " axs[i,j].set_title(f'sta_idx: {sta_idx}')\n", - " if j == 0:\n", - " axs[i,j].set_ylabel('Depth (km)')\n", - " else:\n", - " axs[i,j].tick_params(labelleft=False)\n", - " if i == nrows-1:\n", - " axs[i,j].set_xlabel('Vs (km/s)')\n", - " else:\n", - " axs[i,j].tick_params(labelbottom=False)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 3: Find the Moho " - ] - }, - { - "cell_type": "code", - "execution_count": 12, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "72e66753b4244fedaf6f79124dbbbe5e", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/7371 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 5\n", - "ncols = 5\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "for i in range(nrows):\n", - " for j in range(ncols):\n", - " sta_idx = np.random.randint(0,len(vs))\n", - " moho_depth_idx = moho_idxs[sta_idx]\n", - " axs[i,j].step(vs_interp_rm_sandwich[sta_idx,:],depth_interp,c='k')\n", - " axs[i,j].axhline(y = depth_interp[moho_depth_idx],color='r',linestyle='--')\n", - " axs[i,j].scatter(vs_interp_rm_sandwich[sta_idx,moho_depth_idx],depth_interp[moho_depth_idx],c='r',marker='x',s=100)\n", - " axs[i,j].invert_yaxis()\n", - " axs[i,j].set_title(f'sta_idx: {sta_idx}')\n", - " if j == 0:\n", - " axs[i,j].set_ylabel('Depth (km)')\n", - " else:\n", - " axs[i,j].tick_params(labelleft=False)\n", - " if i == nrows-1:\n", - " axs[i,j].set_xlabel('Vs (km/s)')\n", - " else:\n", - " axs[i,j].tick_params(labelbottom=False)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 4: Perturbation the Moho depth and velocity" - ] - }, - { - "cell_type": "code", - "execution_count": 34, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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CdXr1/hKeJjrTK4qe4+MjDKjeIAy5vR0z1CbwDUO6UcScb09SUPMx9ptOeEzHdGJmNq+a2baLaIGXEpGWboBef8YFxHnR/7vWa//m8EZRksWACJuS01oLLFNZVgToN+KLIvc+ibFeUQLGoNluYej5x8/70Ftf8ALcfOXXYCT9JP+OvskkMPXneV/7PH7nFAALu39rBEVZffh/JS1m1EeQG85d33NdWtOlI+Z7E/SfGywkPfMM4J57Fue65+Luu4DJ3UCdC7sDA2SYKlBsQX/1Wu5QkUJWH/mD0gRAnHCXSUhFy346SIROXgIln0duEFk2fTcVMDUyM8h00ZfZioIH62oEPzIDsFHhDDUz8xEyUmg8KLysddEjSYHO9PvSTXnoqCVRk6ZOuEjBsThVxyGbM3IruERtypKFkWGfm5nfmn1CzydSugClsNcCliMrsBy1A+pDdWx93gm45c475nX4W26/Ha1OG43hYSdMeimlgVTooE3B4L/tdIjlgo9GVfYajaAoynJjUOQ0m9MXNc9VozHTdjExA+jDd3wcOPboPb/ehfDsTcA/f8KrUTDoFTzY0hVdzmQ05xckR6FLLwlx4tIBEU8D7xViBv2+OTOJGD/V5D8/01dB3m/ZPt3777/3wqDT8uCxBtt9jZnqT1OW/dcz0WSBEvUXCNsBIz5574wBmi1387aWxi5YFjHSRZWJ3w1IQ8wWsZF/ltC4InHQ4WANCyn/dfF/pFDdx2+j5t8BC4tWp+PascMECHhfa4EgQDNLsX7rSQCAye9vR2N01Ll2lxaoJl5dS45eJM+vURl0sR4UutP9m8p7Ot/W6wMIjaAoykpm8K/54eHFPX6WudRMlgONIeCkk4Bvf3txzzMdP7gfOOWkpTv+EUcCl/+L+yt8tjqcnuur/IUO9PxFQuMZ+QWuEHmowemq0HWrDEZy5MY0uC0I+lM+0wmZ6cRPPo0KmO6vel/MWEORLrl59v2F773mEp7JnvGuj9dIcXBpABuQAMgti4++atqpiMaU37XCXzvTfjNsL6y3f9l7uQ0TesXJZd/zQAl0PPHw5ATQKcgVOGRbAyka75lDSp1L4GpYpJ5FhEsQ0AgRuQhjpgpEgEWed34VLAtGBYqiHGhImgGgvw7rVeC//mtql9ZsdRWz4Rcqd1KukbDAa15NQzaXkh8+AJx28tId/4gjgY9+rL8dPOR0wZT7jS9cDN0YRbjEIW2LOGLTGKLngsD9xS7vo38j4xqMKa7Kg9Qq5AYtJNHAv5shB+A8dyKkEgKWBU5p6TUVOQs28PBKw9+zf40peW6XO+w+62Ia1DvTRd38FutuysNaU37PBopwAfr3rMSclpSaqciL4LBYabbYlZc72EQYJvHMaSEVLAtGBYqiHIhM99f9YqZLp/PckZodX/gsxI/H747JC6q9KD1B9dpXA9u3L95rmI4fPgCc+qLFP+6zjwT+6RPom9IMAD2zQk/oRFx4HMc0YVzaeUXMhAFQr7v3drATBnARAl/E+KmfLOfvo35Pmd6g0dATBRIhAQkXgOtcsO/EyiBcwjJFNBZwDthl6bVGgyMhAbeWt12XEfi9qlXpoJbXildRtQKkIMGSZiQOk7j/91kFyx6hAkVRlMVn0NNEWCwRNJ3AEXNCeX62WpbB7hpBhimK8Cm5gDTLgTecB+y4b3Guf5AfPLC4fj09g0J4VvkcNZBOqWploFiX7+gSHapU0CeOZLBkXjrfl5JFTVkAIQuXsqSITeYplJ74KfdNp5H8s0+XVfIzUyX/p/ccX5wBgJycn8OAxIpEYKR2xwBoh0Crw91qnAJqxsBBw/2jCAbb7/dEsPjbDxBUoCiKsvKQD+nBluXR0b0/9qCwGeza8sXRfFNhzbbzRUm9m1NRAOe/nsZILCaLYVD47COBf/wYRWyiBKhGlO6Q4tbAuK8oXAQnz0nchAGnf/j9kZqO0joLfwuK4uzPaAswtYvJet8UBfpUlRfMomCSiDquXQpD4Ilf0HvVqJIQFIEiKT7pDhMR4wsWEZODgqV3/mmEyyoVLSpQFEVRfKQocjqSZM+PK4MTBwXNXd8DJidnFjuDqYI0A9pd556b+23uJfCbbwYeWATB84MHgJfuYTrryE3AP/0bFdXKTVg6dExJoqewAEpKiUhnUK+zxwBl3t/Rsz8FjM/g9YgIm65X+5for1Hyu9CSEAgiqgGrVlwhtt+F1iua9uqNDOh3qW+MwOpMD6lAURRF2RfMJHoATqfMExExfquxH/H53h39tT6DNT/NNhUvt7ueo7B3bNi9FzkP3A+c8oL5rT1yE/DP/+aM2gIOTcRca5MbVyPiF8MaQ1Ep8XcRSlAhbwHgkZ/MfN4nniARcNDaPXiB86QAC7HC28AEAGCA3eO8gYunk8gJup5Lc8Cuu9w5JgXVNf69MYYnhBtXh+R3kq1QwaICRVEUZSUxWPA6HbXa7McoON1UzFAQIiKnLGnGTbtLXT+yX166AlnxFJEhje98G0Vf5ssD9wMvnkHMPPd5wMc+RVGDJKYBg2VB9Sx+m7jUxEjaJTBAqwl843p3rAhALSFx9j02eKvWSKDEAdfSzP+yATivl7n28/WBXKeIw750Uknvs/z79qJP3nHiiERMFAO7J53QCVnUxKEr3hVn3BXqdLuyjdoefXR6o5cwBKpV97MUzk1HEPT/z7yQtYNzZHyMoUr6PVnbbs9c3AcAjcaere10Zv5AWujaet2p8m7XzRTZ27W1mvsfMk35r4JFWFutur9gF7I2y2j9TFQq/c6n812b5/RezESSuA+UhawtCvq3m4k4dmmKhawty775J3u1NopcxMBa+n9jMdYu5P97/YyYfu1M/99LXU6t5iIy7bb7f1ls+bOcTOKaTbr556X7PZMaFTGLCwPgHW+fW8zc8E2gXiM/oCSm41pLN+s0I8Fi+AacZ1ScGxmgWkXz8ccxdMJzAQC7XnkODvmdbTCf+iTw5JPAs54FvO71JFCGa4AJXfdSq0n/z2VsVme5ziQEp2Xq3EEV0jknJul19lIvxkUwAnZTLi0fM3UGeWKEl3O7dhw5G4CioKLdSCaRchosjEmU1GtUyxKyGV/JRnMiUmr8+53w/5tDDbqW/fwZsSCjVbsCGRsbswDs2NQgJj1e8Yr+Her16dcB1r7kJf1rDz545rUnnti/9ulPn3nt5s39azdvnnnt05/ev/bEE2dee/DB/Wtf8pKZ19br/Wtf8YqZ1w7+Kpx33uxrJyfd2re9bfa1jz/u1v7O78y+9sEH3dr3vGf2tffe69Zeeunsa2+/3a390IdmX/v1r7u1/+f/zL72yivd2o99bPa1n/ucW/u5z82+9mMfc2uvvHL2tf/n/7i1X//67Gs/9CG39vbbZ1976aVu7b33zr72Pe9xax98cPa1v/M7bu3jj8++9m1vc2snJ2dfe955to/Z1upnBD2W8jPiySet7Xat/cUvrX39G2Zf+81brb33fmu3PzD32ltvt/anj1n76OPW/o/fnnVt879usXJ3v3S2YwLWfutb1jbb1j6529pL/2j2tZ/8jLWP/Le1Tzxp7V//9exr//UT1j7yqLUTk9b+/RyfJ//4f639ySPW3vdDa//3386+9s//wtofPWztwz+z9pNXzL72Lz5k7ZNj1qbpfv+M6N2/x8bsXMwSI1QURVGUPSRJ6FGtzF5/AwBJFajU6Gs4R+WBTI6eR1lFLYyw9QULcC6OQzfccjashUvNzHEhBi4tN9cgwmqVIlqV6tzXEASuPmU+NSZlOfOMqGWKpng0fLtnazXFQ2iKZ+FrNcVDHEifEe020Gq7G3uWuenNaUZpC8PPdbtsxJcDaZvqWt7wWuDhh+lYd98HrFlDc3TKEtg9BnRySrlEIdDi/1eiABgdgf3lbjzxrt/D4TdcixjA4wAaL9oK/P1HgPXrXBrmKQfR71uzDYxPAGMTAEpK6VRjuqYuD2asVqn7ppJwUauh1zHZonWhcaZ3QUipmwrXhKQpve4odPN/jKHjJQm97laH00Fs/BZHlCKSQY/NDm2vVulrGNK/R5qRIMoL2hbz5OZKhf4frVfpvLN9niyjFM/KFig6LFBRFGX5Iy3Rcrvx/+LvpnQTFYO4bko39zQl4VACaE0CRx9Jzx+1GfjatSzKvT98LEgsNNssDgB028DffhjNO7+LoXvvBgBMPuMZaEQJcNRRwF/+JXDooXRdlZjETZZTnUhe0k0+ieh47TZtk1k9lQoV3VartG2yydedOXffgmtYSguMNJzjb2kp+lF4QqLDhchpRtcemX6jtzSn90ZET8QdT5WEjiteKlKzEobsPcOeKknMgmr/Fssu5P6tKR5FURRl6fCFiQzkE2RasHiBRJEr/hxukAiJAqBWJ2ECkJvv+AS7/BYkTgr2VummdNNPU2BiAvj854Fdu/odjL96JXD44cCjjwHv+P8BP/tvEjVjEyQOZJimzNoBgLFJoJs7n5ZKAsDStolJup52l6JEnYyuJ8tdC3TAXUIySynkiItEZZ4cByZaLIIyMq/Lcuo4ksiMFCXb0j1fWo5C8evuzRTiQl1hmYiThaICRVEURVk6Mi+lG0fTu6CKu2qjRo8qpy0rCaUwogC44nNun3POJqEQBvRcWTgDO0khJzHdqJ/+dODDf+v2HVlD6Z3nPBc46hhK4aTcplwUAAyJJVg65i/HSBRIS3AUAm2O+nS7JB52s0Dp5nRNWUFCR+pOKrFz0k0zEkTNNnU87Z6gNEqzSambzBMhsrad0rFzFiVJ5OYwiZhKYoroJJGb0izibwWKE0B9UBRFUZSlYjCtI+mGmZA1jTpFFgK+SUcx1b8ctZkiKD/5CXD2GcANX6e0S7VCKRKJWiQJMDwEvPl8uqn7N+dmC4irwO9cyHVhCadTQjoWxMyOa2HEnj/P6Ubf6lC9TBG5lEoYcbszv+YooEJXgISKREPygiIkeeFmGInDbsBeJqUlQVLmlLoRV1mwcV0l5nNyKqdWdbVARtbCTcb2DdtWGCpQFEVRlKVhMHqyEOSv/iikG3mcAF/6KnDmacBDDwL33EOFxUmVogudjOtYIoq6VCJKE7VanlsrKJUyPMTdMlzgmedUfxIE7OdSUAQj5xqSwtL1ZzmAAKixV0nsiZSAX18Jjm4ElHrpZiR2ZP5QmnsOr7yDFOXnBYmf0ABBQkInSdwwwpgjSnHM3jLoT5uJwJPU2QoVJoIKFEVRFGXxmS56slAk9SOiITJUIHvUEXwO/o8UldqQbubDdbaJD0mkTEy6YwZsF5+ElP5IuZ6jSFkwcAtzIGZrlu3qQaKjXuPBiaGrLYkjNmpjkziZemwtCR2/PiQOnEuslVoXNrCjE5MYESv7WoUiSKEhsSLvaZ73v6eyfk/f62WIChRFURRlaZkpeuJHWGYiy71heJbrQxhrgckO0O24m/JQnaIH3YyiJXneP6snMO687d1s4Z9TBKSbUgqlLFiUGGcvHyfAUJUEkAWdo5OSsJAi1Q53IGUFXastKbojvi2VmFJJgLOmN3DzdQBK2UjdiHTxiChpd/tnEQFUswPMPvpghaICRVEURVl85hIfg9GV6f7qlyhEJ0VvyrS/7uyzgM98keo6SssRjgK23UVrbIzSNmWJpu9d02SvjonSnaMsAZO7iEjOAiPigtOiAMqUre45DTRekmAQvxNpH4Z1/iZlQWJGakMymSEUAJZfR8g1LJKqkfSMRFjSzLUQDxIGq1KYCCpQFEVRlMVFfE+A+aUcZouwlDyYMGJxcvBa4OhjgO33UsHsk7vZtNEAgYWdaOHk33wTbpWBgFOOmQGTxrX7AlyMytGMbkppHRjAFoANKJoSAJhsu0JaGZgor1MEikRLDBfeBgAMd92I8Ig887Yk6i9mlSnNzfb0osSfYryKxQmgAkVRFEVZTAZrT/a0vVUiGxKhaHfoxt9sA5/+HHAc+6L8j98EPvFpoKTUS2vilzOKk63HHo96ELsaExhnvBbw0D5juLbF0AC/nAcSAi7lUpZOjMA6k7mI7edD7rhBQGKnwoZua4acCBGDNhFvWU7iaTpRIimuOFr1osRHBYqiKIqyeCykcycv+teUXrqk1aFHmjpDs0As5ANg01HA/TuAH9xPXTJJ4p5ndl37dTQSHhGQpqhXKjCRRCpAXwsuZA0DANZ5oRgABeh7qfuQrzIHJww5ZcNpGylujbmDSFqARZBIpETep0w6heYQJauo8HUhqEBRFEVRFof5pHZke1nSzTswQBGQGMkyKjCV4lKweBAPkSB0pmn/8m/A1ufTMfOMBEAOeFP80EhqaFSrbGVfBeBFPoLQ1a6UYBt7uUYLIHAREiOD+QyJELBnSRTRz2KUFoVUxFut9Ec6Sq/eRRxkVZTMiQoURVEUZe+ZLbXjPweQMGm26WYNuOJSIed5NBnb2ZeWjpl1qaA0H7i5F6VzdvciKO7cAOCtgaXIjH9aPxJiQLUhMs8mzeh58SupxHQdxvAQPI6M1KtOWIhhmhS55oWroxFknQgTFSV9qEBRFEVR9p6ZUjsZD8ArrVuXiS194UzIIN0tbFyWcfon53SPDO+TupTUO9/vvhP42BWu/kOIeNhflru6EmOch4ixrphVCmWjkERHLeFICNeqdFM+p6UUk0wgNly0Wq24153nLoVTlv3vjS9KRMSpKJkWFSiKoijK3jEYIQFcWkNs3WWdCAyABId0t8Q8N2ayxamilNZ04SIMQQCAO3rqdeDZm6gG5YcPkEFatQIYz/NEohti5iYEXG9iLRm2JQkJEgQUHUkSKmyNIhJTnZTmA0khbRjQz/WaExl9tTR2akRJZuOIe62KkjlRgaIoiqLsHXIzznK6EU+26OderYUvECzbtrNwkJbZ0gLjTerWaXfIut7wTiJ24hAouHo1joCP/burQ6lVgaRC+wqdDkdAxPGVoyvVyLnUhiGwdo2LdEi6JoqAyabzRSlyLsQtSAhVEic2rHVtwXHkXrdY4YuIqSQqTBaAChRFURRl4VgvZdNNuZ7EAql/A7Y816YkcSE1HCZw68dyqu+wIEEx1mTfk4DbfAvnLdLlfUo4rxKh3aXUS7vrtqU5EFsgKFkgsWFaENLxDRe6hoGbPizOtc021crkGdDJSUgFhjxNpF4kzWhNGDoztSznaA+nk4JganRJmRcqUBRFUZSFId06ckNudVhEcComCklYlJa+lxkxecFurQVHJQoSJ5mlVuFuyq6uoPbfMKAakjYPxjNgq3hL262XzjFwlvM+BnScepUiGUHAkYyAxEe9RtdZrZA1fsFdRCag67EGqMZ8LQlw0Ai9/lbHGchJjYlfHBt7LcVSDKwsCBUoiqIoyvwRcZLndGOXiIXUWCQx+5sYJ1p603s5mpLnFAEpSrJ/l3oQw8ZpUUQzdawFJtquZiSgglZbCdHKUqDVRoMvq7l7HIhiNLteiqcWA0M1qlcZbXAnDUdMJttuZs9wzAWthUtNFblLARU5CY7RIRcpiUKgzREdKZQtvcnEEmXR6MkeowJFURRFmR9+5MSC/US4CyaJaXCdn/oR0zLZt2QjtDAinxNp3bWWxEHIE4aH6lSM2moDpkTPkTWOYZMYJ7/xN3DrHd9FHYBM2Vl3xkvQGrzexhAw1ADWDNP1jtRIfEgaxpbOm6TL834KjvJUYxetiaskPtLM+Ztkeb8YCQKKwmi0ZNFYdM/cP/qjP4Ixpu+xadOm3vOdTgfbtm3DU57yFAwNDeHcc8/Frl27FvsyFEVRlMXE70opCpfKkKhJozbVx0PW+PtGEddzSD1IAJgQiCtAvQI06nT8mFuKLVxUpZKgZQvcesd357zcrc87AfXhYdpPrkXSTFFI3TqFpVqUNHMutgZOWEUhiSU/MiKv3zdUk+iRsqgsSQTl6KOPxvXXX+9OErnTvPvd78Z//ud/4vOf/zxGR0dx4YUX4rWvfS1uueWWpbgURVEUZTGx1t2sC67BiMLp10qkAug3MMtyEh2ppfbeogDSkiIW3czzLuHCkwBAFFNUY8JFKB68+uvAmS8FADz+X98CRkZ7kZ16pQITczFsUVJ0w3JdS15QzYukc0rQ9YhbbBTQ+WStRE1EfEWRqzvx5+koi8qSCJQoirBhw4Yp28fGxvAv//IvuOKKK/Cyl70MAPCxj30MRx11FL71rW/hhS984VJcjqIoirLYyM0emN4B1a+9EGEirqqwrgFHtlteZ7lIttWmm38nJa+SKAQpFecU20iq7vuRUeCgUZfCEWM4sCGaRE8AqoGBodqSsnRThrspiSN6Aa4IWF7D4GuTluLZBIpv0qYsiCUZi/jDH/4Qhx12GJ71rGfh/PPPxyOPPAIAuOOOO5BlGU477bTe2k2bNuFpT3sabrvtthmP1+12MT4+3vdQFEVRlglzDQWUG7nc9EvL6ZXQ1XwA1OobGWoP7rXugiIrIQuMzLOy90/bqDmDNOmu8WfbSJopL3gacU5CKI5cRCgM6boMR11684KCqRb1sZc6EgbFyKBZm0ZaFsSiC5STTjoJH//4x3H11Vfj8ssvx4MPPogXv/jFmJiYwM6dO5EkCdasWdO3z/r167Fz584Zj3nZZZdhdHS099i4ceNiX7aiKIqyVPQ5zfLXMHAiwhj0unSknTjkaEoSudk4gTdZGECfD4r4jliQ0BCPE19AiHgJA/Rs74OAUjpJTOcEqPNHCEOXxpJrna7eZC4xMpeIU6aw6O/YWWed1fv+uOOOw0knnYSnP/3p+NznPodarTbLnjNz8cUX46KLLur9PD4+riJFURRlOZMXU2tTchYckmoJuX1YKKz7s7nkycPgLiFwZGWmKIREQaSw1tjp1wHOar8oqZW4KN1lhIFzxO2kVEwLeP4m3m1zutc4uEbZY5YkxeOzZs0aPPvZz8aPfvQjbNiwAWmaYvfu3X1rdu3aNW3NilCpVDAyMtL3UBRFUfYjIjKmo1fgChIUndRFGIqCjdi4ayZjzxExWMsLrlVhgWJANSNFSRGVmUhTN/fHABQhgUvP5IV7ZIWrQxERlGb9kQ9pqTa8Jhi4XQ5GTGZ7P5Q9YskFyuTkJH784x/j0EMPxQknnIA4jnHDDTf0nn/ggQfwyCOPYMuWLUt9KYqiKMpiMFs6Y7oheWXpikllerDbgSMnIdemsItrngMIyMlVUjciGITYu4W1ebigiAk/xSOpHbmOLKdzVmJOH8Vu2nEQuPk7EXfxVL0Bf2KH7wsSOcfg+6EFsnvFoseh3vOe9+BVr3oVnv70p+PRRx/FpZdeijAM8cY3vhGjo6O44IILcNFFF2Ht2rUYGRnB7/7u72LLli3awaMoirISmS7FITdv3wcFLAjSHIjh2n97wwQt297zvmXJc2xKIIicBX5f5mbgb+xu19WLBMHU6Ek3o2OUJYmXwJBDbOmJkUpAEZ+I00rSRiy1JyJ2es63Qb9YkfSOFsjuNYsuUH72s5/hjW98I37xi1/gkEMOwcknn4xvfetbOOSQQwAAH/7whxEEAc4991x0u12cccYZ+Id/+IfFvgxFURRlKZmp/mKu6Ero/ZxzTUlR9lqMbV6g1ZlwFvgBAFPnuThAc3LSO5l3rKIA4oSmGuc5dfWI50qWu5RNmtJ+UeDEzGSXhEU3A2zkCngDryB2sPYEcPv7rcjTRU+0JmWPMNauvEEB4+PjGB0dxdjYmNajKIqi7AvEEl4iCG2+qVcSeghFAeyeoO/XDNPNvNl2tvISdchy8jqRduIggO12cfIbfgO33nXnvC5p8o670TjhOPrhznuBNWtIXMQRFePGLC7Eyr4syWK/wtb0ww2XrskykHBh0RFHbrig37nTm9wM568it1H/Z1kzU9fPAcpC7t9LXoOiKIqirGIGowN+5MBPhwBU9yHtvV02Z+t16wCticl5i5OtJz4f9UrFbQgCEh5Af5FszgWxtmR/Fa5PGarTc2FA4sSCvhfjttKrd/HTNoPGbXPVnmj0ZI/Rd05RFEVZGDN1rMyW3gkCIPTWGW/oYBT0UjjCrm/chka1Svs1qrS2k1HBal6g3qjDNNtuh2pCokJqR2BJkEhXUMG1LlFAtTBSDNuR4toSQOiiQX7tibyOVmf66cR+lERrTxYNFSiKoijK/JnvDXim+TzwZvnIjb3dpXqPqouINOo1NOo1IKnQvJ68AKKMBgpKF07kJQHCwJmqFaUrXi1LSvWYHCgN1ajUaxRVCYybyFyAhhha9KdkJAIiXUCAc6D1X8N0aPRkr9AUj6IoirJnzChCGL8d14+6SNTCgKIcQuF9X5auXgW8LjDOZM1a4Dde69aHoXsOoO9l6nLB/ii+YOik3MrM3iwiMjhCM+1r6b1u7zizpbiUvUIFiqIoirL4yMydvmgLKELRzchVtrBOpBRlf/rEm/WHdupEQ8Zrm01gx3batvlooF6n70XwdLlbp91xgwNLjt50OFWTc10Kgn4xNBgh8mtPfObygNH0zl6hAkVRFEWZP3vimCqdMQAP4GOBEodsXw9+eDf0sqBi1oBdXkPP4K1E/0yer3yVDdpAxbA5d+RYS2sDFkfVhL4XE7ZuRpET6dhJ4uk9TaR7CegXHrNFTzS9s9eoQFEURVHmx1wRgsEoQ547kzS/60UEhjEURZEIx2AtRxQCrS7/wA6uMIAd8GCJYvdcu+M6crKcCmKLEggjdoillmZ0Mh5EaEi01KtTLfqN6RcnvveLRk+WHBUoiqIoysIZrD+ZbjZN6c3PKS1FRKTY1PLzgbjIhs47BHAuslLEmmZs2gYqdh2qu7XdrouMGJ46XBTUkVMWzikWIJEiaSCZgFytcMrHs+MX11jZPihOBsWURk8WHRUoiqIoyuIS+vbvxrmyiojoZjRjRwYHSjeNn14JA/ZJsRT1iENXxzJcd51AAJBzu3KeOwv9JCYRlGbUxVOUngW+cX4o9arr+An5ligtxhJRSTNez3Uqg+JEoydLgso8RVEUZWHkxdwGbd4N2wJojY2TMJiYJD+RKATymERKRt00zU7LHaMsSciU1kU6gpCEQjUGfumtNaDjhDJcEBQlyTKKqACuzqTdIbHjtxOHAbU6R6GLjkhqp93tvY7eMQbR6MmSoO+koiiKMjd9kQFPgABTIwiSqrEWNjA4+fTTcOvtty/sfNa6CEuYUA1JFDqXWB9/kGDI1ynbQh4aWKtSa3HIbcfRDO6wcdQfObGWtgWm39J/pteu0ZNFQwWKoiiKMj/iiNt3ZyEMXNFrEKDVai1YnGx97vNQrzVccWsloXOLUAgMRUF6GO74AQsPTvkYUH1JEnO9Cy+Pov5Ih7UueuILFHnNxpC521xo9GRR0XdTURRF2TtmMierVYCWS8XsuvMeNKyh4tckAhAA7TYJmiQkMWKBeiWByXLPv6SgKArg6kR8U7ZQwidc1xIEFP2oJC7Y4k8gjiNXk+LXvcxkPDeXIZ2yJKhAURRFUfacwRRHZyDC4omXRrWChuXi12pMNSJ5Qm3CIUcv8oKOkeXOrC3g+ToyDbnd7RcoJXcEySDCNCWxU7JoyYv+IlnZV+pOpKZGCmPluuV8s6Vu1Dl2ydAuHkVRFGXP8W/QMg0YoDTMZBt9EwAB8kCJWKR0ulQTYsERFQBZQZb3RcGiJaBITMS1JJ2U/Uy8yEdakPFbyK3JUkybRNyubOlnESHAVPO1JGbreziLfr/leDq0/mRJUYGiKIqi7BlzRU/KASGRFxS3z3Og1WRfFHCKxpA4CSyQWdfSW69TzUhRcsSl7B/c14PrUEoWCnHoxIkcK45cUazM5ilKEkBZTmIp4+4fv6NnPtETrT9ZdFSgKIqiKHuGLz580VBaN8Om1XFrAhYiKVvRRxEXtrJJmwHQ5q+G/UYaVdo3DNh1lkVB4Z074ChLXlDEJQx5zg8LC8NOsQCnbkrna+ILi7zggtnIiRONnuw3VKAoiqIo82M6r5PpphX30jUZRUiEAmRdX1rX5hsGFFExcNOFxUhtzRDQzZ0fSVHQ8QxHS4RawuKIhw9aSwWyIkLqVY7wdN2QQEn3RKGrN/EFRxzNHhXR6MmSowJFURRFmZu+G3jgbtDWsnX9QDShm7HJmVeD0mw5Q7WAH3nJLrAl1Z4YPkY1pvPkORW9ij2+dPH4gigr6bgFT0iuVVwERyInXa5dEQEkk4vbXfdapO5ExMtMURGNnuwTVKAoiqIo80NuxjIfx59TA/QXmUr7sH/zzjNneBaFzohN9pOe4CQCGnWKwFhLrrBpBoCN2srSCQyAzi8pomrFiZ+al9YREVJamuMzaMQGuKjJbIWxcjxBoydLhr6ziqIoyvyxFn1RkZALUYuS0jZpRsP7wMMBQ//vYOOM1zpdN0xQilktgCShAteypP0LLowNQzqmzPDxj1sWLpUjdvQiHKSuRJxpa1W61k7XFc4GxqWcgNlFh0ZP9hkqUBRFUZT54d+cQakQm+VoNZuunqPVpsLYNAeiCM3C6+yJQqDBAqTFx4nInA1FSdGP0hc2hupWooC7agKgmgDNEqh4t6+AnV4bdVfYKtGRwFDaR84lNScB16eEAe0r9vwLER0aPVlS9N1VFEVR5o/nyGqzHCef/nLcevu357dvFAFxQoWyQgFqLTagooMwJJFSWjZgK2jgXxDQVGJjKAXUbbtjhAFQr7joiV9TIoJK2ob9lFQUUkRlISkbNWbbZ2gNiqIoijI//AhKTpGT+YqTrc95LuqVhIpVczZjS3MAJaVwZH5OXlI0pZ3S89K1k7OFfVbQ9o4nckxIwiYIXEeOP0+nKJ1tfqtNaSVjaB9fxMwVPdH0zj5FIyiKoijK3Ii7KkAioZrQzZ7Zdf8P0ajVqCumm1JEpMOW9EWJ+vAQTDUBEFA3TsHFqVI/UqvxOUrng2I4rBIYoFKhSEmny0WxXiSjlrhJw4PTicVF1lqg2ebiWi6CrVf7UzuzFcbKeyBoemfJ0XdYURRFmR2/48UY18EjUQkAjXqdBEoUA3FK4iWpUFQksHTzDwJOsaT0fVnQ8/UKiR4xepPaEGn5TUJn5pYXQLvjhgACVEMiU4gHUzDif5Lm5FgbcX3LUN2JE2BuwTFoja/RkyVHUzyKoijK7AymNqoVumFHQf8agG70rS536VhKp8jfwkXB3TM8HbhgQ7W8cGZtxlCtSY3bhW1JaZ6CW4mbLRIyb3+zO3cS0zEGDdeikMRMwT4thl1m14wsTHAMvv65Ii3KoqACRVEURZkd35QtDPjmjv6JwjlHQ1ptoNN26+MYqLB/SZZTkSzZvXLUoyC/ExNQLUm1AjS4m6fgbhuwZX6z7bbvuI/OcfzxlB4SweGbrbU7tD4vqHOoXgVGh6cfFDif1w9oamcfou+0oiiKMjP+zVwiESJM/EHFUcCzdLituLQUwUgiioBYS5GToqRUS24B8I1f2n+TkGpN8pxM3WTScZpRJEUs6pPQnffqa6cKiF66h6MqhtuQK0l/8ex8xIkWxu43VKAoiqIo09PXtcPmaJknWPowlH7pcNQCBqiyx0kQ8HA/caDlrpqQv48jKrqtJFSXIsWycejm86QFEBmgUesXKFK4awwJpIjFSavjakxqlf4iWlk/n1SNRk/2G5riURRFUWZHUjsAaApxyAP9vGiCpHBg6c4Sh0C1SmIi5vWyTxS4QttKldJAUUhCwvL5ZE3AxbgGwFCDIiwiNgB3XVHIpm/sGFuycKnEVBAbRwsXJxo92a+oQFEURVGmxzc8k6+Gv/r1JwBPLrYueiITjYPQRUQAEgpN9jApLZDwbUiG+gHeTB8e/ifmbHFEHT+zXa8f8QgDirgMRj72JBKi0ZN9jr7jiqIoylS49sSWJVpj425qMUA+J1GIZrvj1ucl0OZaEXC0JAAJhjRlT5IAGG/xMTKKrgQhtxQHtK3gWpOSIzE2AIISCCscuQmmRjKKwnmeACygrHOPBfbMAVZdY/crKlAURVGUfji1Ya3FyS97KW791rfm3qfbBUpDw/wCUComLTiqUgIIgTJ3EZiA60nCCDiI237znDpvYKmINjL0CCOKsEQcRWk23XllSKF4tOQ5PcLACZrBwtj5pGo0vbPf0RSPoiiK0g9HDlqt1rzEydYTTkTdiCssqO1XJhV3U+7ogYuOGACNKpm6DdeBTkrr2+ydUpQUFRGBEQUuxZMXtF4Ql1ixwy9KLsw1VHjrR1YW4mGixbH7HX3XFUVRFEffxGLHrh0/QCNJ3OyamFuDx5uoV6swY032LAG3HBsSGdL9081dW3KSUFRkSKYIG5c+SrnQNolIwFT4KwzP1GHhI/jRjcAA3cJNN472oDB28D3Q6Ml+QwWKoiiK4pih7qKRJGjU61QnAlB6ppsCa0aBX46xCyxITIQRCY80BwwXzspNPwyAegKEMc/N4SGABpSasRZASeuSiFJFveLbYn7XXh0opN0b91eNnuw3NMWjKIqiEOmAx4kvVnKJhhhq8213nNV9wdOBDYuKNKXoieX5OlkGgMVJLaYUUL0KNDscDSlJnHRz2gecngnCqcZw+YBIkedSLrCNI65LYa+UPREnWhy7LFCBoiiKokxNawAu7eITRjw3x5BD7GSbu2UsEILqUPKSREpeUIQkDKl4NoyARoOiLJ2uS9UUln6GJRFSqwFBRB4mMuSv5PROaYFXv8pdjwwRtF7XThy51MxCxYmmd5YNKlAURVGUfqJwah1KGKBn0ibmaGXBfichzdGJuVYE/rRjQ+IliYDhBtWFGIueq2xgyMhNSNjrpCKdOaBjVGI6b7sF3HsPrT3ueDKDA0iISF2MCJW9Heqn6Z39igoURVEUZWpaY7pUipivFVwjEoY8kVhm7lgSLaV3rIBTP42qs6oXIzYElMZJc684NqGalDB05+ld00BE5/rr+9M5PnsqLjS9s2xQeagoinKgMzjdV3xDBqMoGXfIyD5iQZ/lJFRKqSexQGZ5zg4XwBo2Y+t0uZaEUzZttqaXOpaIIzUl16WE7J+SS1THS7l0M6AWuSnGktqZzsxtPmh6Z1mhERRFUZQDmcGbskwCBrguhCnYv8S/acvsHfCMHfE5yQqXnjEhd/aEXsoGQJGz50nhnGCjmNNEnB7KS4qsiE6Kwv7ISMmiprRuexzteWpHvU+WFfovoCiKciDDN2VrLVpZCkxOcotwhub4hFsXBHTjF1Egfih5SaKiyLmItfCKawOgGgNxQtGQeo0Ka4WCbfHzgmpOTOAiNHlOxwojZ9gWR0Cr5fY3XMPiO8nuqTjR6MmyQwWKoijKgYrM2xFL+9tum3ltFLg0TBBQ1KKbU9twEgGTXSdYipLW1xKOaERcs8ICJAWvsyRKwpCEy3CFoijd1KV3wNER8V05+0x3TYEhz5Msd+JkT4WFRk+WHQtO8Xzzm9/Eq171Khx22GEwxuDLX/5y3/PWWrz//e/HoYceilqthtNOOw0//OEP+9Y8+eSTOP/88zEyMoI1a9bgggsuwOTk5F69EEVRFGUBeBGDVrs9qzjZ+vwXoN4Y4v1Kqv3IUhIhIU8rtnApG8PCQ9I7EpGII1rXarM4sc4ePwrIlE3SPXKcOAKGGnTu3WPAvffS98ceC6w9iCcs87H3VFho9GRZsmCB0mw2cfzxx+MjH/nItM9/6EMfwt/93d/hox/9KL797W+j0WjgjDPOQKfjpl6ef/752L59O6677jpceeWV+OY3v4l3vvOde/4qFEVRlIUxQ8Rg1z07MPnAj+mx/QeYvP9HuPnLX4WRNaUF8gwAD+MzvC3jFI8JuCzFcGdP6ebiiJmapIfA0ZggoO6dkjtysox9U0JgpMF1JjzXR7jmOickfN+TvUWjJ8uGBf9LnHXWWTjrrLOmfc5ai7/5m7/BJZdcgle/+tUAgH/7t3/D+vXr8eUvfxlveMMbsGPHDlx99dX4zne+gxNPPBEA8Pd///d4xStegb/6q7/CYYcdthcvR1EURZmTwa4d78beSBI0anWOarAJWhKzqZoFWh12bA1d/cfkhHN0DQxNNY44PRNxDUk3BRp14PEn3cTjwFKbcRiQO20UAZ02CZwwABAAtSodu9XpN46rJM45Ftg7YaGtxcuSRe3iefDBB7Fz506cdtppvW2jo6M46aSTcBuHD2+77TasWbOmJ04A4LTTTkMQBPj2t7897XG73S7Gx8f7HoqiKMoeMJjOGCwqzdl7pFohcRLHlNKR2hKJiJgASCrOMVa6fMTS3sClXdKMBMXYJK1NuIbFivlb5LUrwxW81iq0vtWhY5x7Tv+1+nb2exo90fTOsmVRBcrOnTsBAOvXr+/bvn79+t5zO3fuxLp16/qej6IIa9eu7a0Z5LLLLsPo6GjvsXHjxsW8bEVRlAOTXtrGnw4MEi0hp14sCxJJ58QhpV7qVUrh5BxZsZa2BxGtiWOqKbGWu3zEFyWik9TZATZml1gh5BRRhcWN5TqVdhPYzvUnxx9PQwoHX8divR/KsmBF+KBcfPHFGBsb6z1++tOf7u9LUhRFWZnMlc5IOCVT+OmUmH7ucjFs4Rm4+SZrEl2ROTpZ5sRPkaNnghKx6yxA2yoJCZ1eXYqsC4EO1534nnHf/OZUp9s9RdM7y5ZFlYsbNmwAAOzatQuHHnpob/uuXbvwnOc8p7fm8ccf79svz3M8+eSTvf0HqVQqqFQq0z6nKIqizJOZ0hlp5tYY9IuTktd22k5UGD5Wh9uBC46iBGzYJm3IeU5Rk5ALX0XEZJb+PLYl1aukPO0Y0r0TkAhqdehYORff9q7RLE5aRtM7y5pFjaA885nPxIYNG3DDDTf0to2Pj+Pb3/42tmzZAgDYsmULdu/ejTvuuKO35sYbb0RZljjppJMW83IURVEUn+k6d9Ksvzsm5NRKXrhi1XaXCltLbg2uV7kVOOfIB9zaIASqEXohj7QAOhmLDp5GHIfcHhxQe7F0/YgrbAiOkBhXCFtNZn8de4umd5YdC/4XmZycxI9+9KPezw8++CDuuusurF27Fk972tPwrne9C3/6p3+KI444As985jPxv/7X/8Jhhx2Gc845BwBw1FFH4cwzz8Q73vEOfPSjH0WWZbjwwgvxhje8QTt4FEVRlorpogWW5+f4lvY1rhuB5bk4lqIfoQFykIApuVW4mwGQtA4XvIaBWwNwG3JBwqVT8KTkgtuLrWstFuHS6dL5Ym5LrlXo8dJT+l+L/zr2FE3vLGsWLFC++93v4qUvfWnv54suuggA8La3vQ0f//jH8Qd/8AdoNpt45zvfid27d+Pkk0/G1VdfjaqMxAbwqU99ChdeeCFOPfVUBEGAc889F3/3d3+3CC9HURRFmZZpog42zdCamERzbMDSXggDnoVjga43zbgsKb2TcR2IP6MnZNFQrwHtDu1fCegYSchpH6lX4WtJcxIhUsOSg/aBpe3tNnD33XT8444D6vW+17FHaHpn2WOsHRxXufwZHx/H6OgoxsbGMDIysr8vR1EUZXljrasz4dZiW5Y4eevJuPVb/Q6yk0/8HI044bSO5TZibi+uVylykuZk1pZmnN7h1I1hQ7aDRkgQtdqUognD/o6hsmAvlIBES7VKbc2dFJhs0XEbNWCoRi6yaReQz/r/fowcZGU20J7ie8HsjUW+siAWcv9eEV08iqIoyiLBQqE1Nj5FnGzdsgX1BtvKhwEJDIDERxS4VuIiZyO3iLYH7HsSgNuR+WbvTy6OQtcBFPB+MOSFItGMdtelkwJD7rJxBJzipXd899g9RaMnKwKtClIURVntDNZa+NEDALu+dw8aI0Oob1gPI5OKi4Jn65TkVQI2RUtTTsOwoZsYtBUFECU8gwfsPBvyrB1DhbhiAGesm8VjuVZlvMkW9yAxU61QZKPVAu66i9YceyyldxZTVGhx7LJFIyiKoiirmcFogWzzaNTraNTqMBZT18JSJANg+3k4p9cwZEESuO9l3xLsZ8KFszKnJ/RSOz1zE09smAAYHSFvlMEKhK9e5QYDKqseFSiKoigHCvO9scvAvtA4U7bQUAomCKg4NoooOgKw9b1x3xel81IJjWsZFnfaMHR1LUJZUDRluEbPC75IWayoiXbvrAhUhiqKohxIzHhz9kRGyUWvlrdbsKOrGJ6A1uZsriYmbTLZuNOlbZZFSF4CEe+XF7TWFx7tbv+wQekEsra//kTOuzdCRetPVgwaQVEURVnN+IJkunSP4P/sO8nGATu6gjpvckvpl24KRIZEiAFtM4baiOWcRUmpHlgXOQlY0MQRYDhSU7JdfhhROini7pxm06s/4fbiyIuu7C2aKlrWqEBRFEVZrQwKEn9+jX+jt/yfnIVFl1uSS0v75DkVwYaGamULmcnD4iSKSVxArOwLHg7I5w0CSgnVKrRPzhGXNHU+K7DUWpzEbhbPaae6a7z6Gu4W2suIh6Z3VgwqUBRFUQ4EonDm1Ia0/AIkMCzXkFiZp2NpZk4csTAB3T0CQ9021gLVmJ7LuZak1eJiWtDgwFrinssy8jspS/RSSzWejhxH3PXTAb7/fbqm444HhoacBf+eoumdFYUKFEVRlNWKHy0YdJIdLD6NQ3cDt9YN95OykwBAHNNzBdvTx4kzZ8uKXjlK71whF8bWqrRvmpHAaHe96cSGbPDFpVauzY+eXHOtM2XzRcbeoOmdZY/+CymKoqxGZriRWwCtVgvNZtNtFHt7iZrIjB4DipKUoBRNUbioSM/anoVNUXjGbOweawGMDLmunG5GxbaS0glDZwAnQiUIgOa4Fz05Dmg0SFDsbXpG0zsrCo2gKIqiHCBYa3Hyy16KoaEhrD/00MEn2YAtB7pdUFuwoShJAACWCmNFoEQhbS8KioyYgNI3Pdt7kKgRESLmcAWnaCzIyl62RQFFYqwFTn2Zu66rr12caIemd1YcKlAURVFWM96NudVu49Zbb+17eusLTkJdhu9J+qYXzYgo9WPY20Taj8OIBErE6RiZemwCAAEV0gaG6lIqnJoxkv8B7ZuEzj/FckFtENBgwMHak8UWE5reWRHov5KiKMqBgndj3vWTh9CoVlE3AdnbS1omTWlBYKjrRqztfVO1akSRlaIEbEYdO7HM1CloGnEyjagQ8QOQuPEdZMOAJxt33bbrr3fXrOmZAw6NoCiKoqxG5IY+Q9dLo1ZDo16H6c3OAdWH5BJBYeO1nIVJh4WLMRQpEbO1jFuQDTvMljxjB6AoTDelfbKMa1h4mjE4nSQVuFKn4huzhaGrj/FTNHsiVlTgrDhUoCiKoqw2/G4cwNVcTJcqqfCcnYBFhMzZiSMSEMayL4p3rHqVdy65psQCgXXeKgGniPyBgyJASlBHjx+VSdgnxTdmO+44mskjERT/+hfayaP1JysSFSiKoiirlbxwomG2uouipMJY6a5JIopc9Lpz2AkWxpmtGQOkhevoiWISIyJkArjoTSclMVKU3HrM7csBz+SRW5EfPbnmOhc9WUy0/mTFoAJFURRlNTLfqIEUxpYAmaZxNAOglE1vHg97mogAKUuuF2Gn2ILFSW+yMZ8vz0nEZDkJmICnH8ehey4E8OQvp0ZPsnzvIieCpndWJCpQFEVRVjszRQ0kwpHmHN0IyBBNfFBStrwPDHXdWOsiK93MiZKYPVICsbXntSJIAPo+CekcJShyErAgyi3wyrPcdV17vTuPtXsX9dD0zopFBYqiKMqBiKRz8swN/JPC19IzbJOISBByGzGciZsUuNa9tA8sDQHMOTITBCw2Shc9MWCn2pCGA6Zt4J576NjHHw8cvHZpXrOmd1YUKlAURVFWI/OZWWMBZBw5MYZSOzJUMMvR3xIMrjvJuQCWu31CQ19LHhAYBrStKKhwFnCFtCU4/cPXV42p3uXc17hruvHrs9eeLHQWj6Z3ViwqUBRFUVYb4toKzJ7WyHK3TmbdFIWbViwGbCFHPcQ5tuQ1IR+3y7N1jAWqVaopidjqXpxnpXQkkSnK1tWx3LedNh13HHDQmqnXuad1KJreWdGoQFEURVlNDN6URXjMtc6vGzEc5QgDagkGKGoCsNCwnPIxrksIoP2iEAi5jRigryHfakLD7cbGPRIv7fKNb8wsIvY2PaPpnRWHChRFUZTVii8eZiMcWJfnrnakt0Y6deRnESBSl1JQZw7A7cZMwe3FsrYonU+KtcCZZ3rnXWD6RlnVqEBRFEVRHFIgC7CQYCFSlKC0DE8e9iMdeelSOEXhpVMMpZtSrmcp+fgyMLDZBO7l4tijjwHq9fmnb+ZTW6L1JysaFSiKoiirldkiEtM9J5EOIfAjK5IOktQQW+EXJR2rKN3AP8PCprQUjZEWZFlfsEh5za+7w3/5K3PXiCykFkXrT1Y8KlAURVFWE/O9ifeiJOAiVuucYwu2u5di29KzqjeBa1E2AbULlyx2DEjAGJ54bEBmbwaU/ol4grE1wOSkK449+mig3vC6h2ZhvmkrH60/WZGoQFEURVltLOSGbMFOsiJkxIq+8CIkHFmRNuQsp22SqoGljp+A9w+4yFb8VXJ2qk0SEjuBBd78encN/3GlM2bzU0zKAY0KFEVRlNXMTBEJScWIKChLEjYyKFC6d+S5sujZoiDNKXWTi1NsQBETSd1YS8InZ3GTS10KR10mJoEd99GxjjkWGBnpj4wsRu2I1p+seFSgKIqirDbmk+aJOOUiQ//yAkhT7sQR0xM491gELoICS6mdkOtKKrGbgmw5AiOpI1jnUluym+xvnOOu46v/6WpYxFrf92eZjZlEiNafrApUoCiKoqxG5qrVEI8UERx54dqIo5AiJkEAlDnVn/iCxlo3vycInDtsyaZuSQW9IYKW24q7vP5VZwIPP0TnOeZYYHiYjlmyVb5EYOQaB8XFQk3btP5kxaICRVEU5UAl4uF9AYuUkOftxJFzfxWH2MD0iwOpMRFxImthXTTFgL6GIa1ttlxq55nPBL5xE11DZQYzuZnEhYqOAwIVKIqiKKuZuczPpLW4y+mVCt/8/RbjgiMmaUrOr4Fx7cJ+h4+kcADXDVRJXDGtH+24+rr+tQu97tnQ+pNVgQoURVGU1cZMaRBPIFiJbEgHj7U0F0fSPBnP40HgimQL61Iw0t1TWm+6MUhYlJ5Zm7VUl5JmwOte618kCZS84ILawkVcBq97IWj9yapBBYqiKMpqZI40yIvPPB22LIFqgl6ORm7mpUwqhouYANR6XKK/EDYvqONHhE1pXfQjYhFSFsDkhEvvbD4aGBpydTIWtCYr5pe+8SMks0VLNBW0olGBoiiKstrhm3i9Xsdzjj8eAHDXXXehNTEJqj2Bi6ZIDUloqHXYcmtwr4jWAjG3FQPcfZO62TxZzoWxARBEJGZKC7z9Le56PvdFF91IYo7KYKoHii8+ZoqG7GmkRVn2qEBRFEVZjfg3dG7bNXmBm2+40a2xXBhbglqIg8AJhVI8TngasbUkRLop7SueKSipTdl4t5NCunkiEjPNJvDADnpu89FAvUaCJy9coS44bTRbl47fmTRTdETrT1YNKlAURVFWI2K4BvQ5tBo/CiFtvTFb0EehM1mLWJRUIhIQxgBZSdERBLyN0zdFTumc0qtnAVyNyf/nRU++9BUWM9YVyRpDpm9lQbUqC7WzF1Gi9SerChUoiqIoqxU/yjBdZCH0BELAHicmcHeGsqT6EssFtQE4ygGQwGAxYy3QyVyhbFY4b5Nu10VPjtoMVCtORBTstTKNkJr1uvNi9kjL4GtXViQqUBRFUVYr8zI1M5zeAdvfg1I+OdeRdFLyKSmte6Q57WeNNzwQPM+HO30yblsuvHN+6nPOAl9qXazlNA9HUWYSH9NtUxGyqlGBoiiKspqZLV3ip4EASvMEXLhq+WfLEY2E61EsKJ1jAhIw1YqrWwlDl+IpQd8bv4aEi25lf/86JCpTeqJlEBUkBxQqUBRFUQ4EpCh1NsKQjNUAKnAF3LBAqRsJDWA8K3yAhYx104sBej6JgDe9zh1fpiNLWkiuK44807Zyz0zatDh21aECRVEUZbVizNSpxX6ax0/7lPBs7GW9BRBQTUlWADBAAZpkLPuXpTNb66WBWISMTwD3bae1m48GKlXep0BfigdgAWSoZiXN5q5Dkev00z4ybFBZFahAURRFWc3EUX+6ZLrohGUvlILTNAGnb0pLUY+IUzBl4QpjMz6OMXCtyKDn85JEjC8svvQflOIB15pYOIv7TkrXGcKJFhlECGDm+hn0F9hqB8+qQgWKoijKamcw0gD51nr1H95z/pTjmEWFTC2W6IjUqOSls6hPQiqctSW1Hqepu4YwpJZlqTXJBqIwUsNSWPJamakOZTZEfGmtyqpABYqiKMqBQBROiZ68+LRTSaTEsStazXKyvxcflDznVmOOplhp85ECWPY+Ea8UaVMuSvJN8c+fJPy8cV1CIp4kahMGLHCK+TnEzqtTSVmJLFigfPOb38SrXvUqHHbYYTDG4Mtf/nLf87/5m78JY0zf48wzz+xb8+STT+L888/HyMgI1qxZgwsuuACTk5N79UIURVGUaRi4gddrNWd3f/fdaLVaJDxqld4aRCEJCWNIi8BSwavhLh/p5km59gTgQloDxPxcZml2jxBx9CSJXDtyNlBrIgIFmDrhWGfuHHAsWKA0m00cf/zx+MhHPjLjmjPPPBOPPfZY7/HpT3+67/nzzz8f27dvx3XXXYcrr7wS3/zmN/HOd75z4VevKIqizI3Y0vMfjTdfd/3UNUHAs3jg2o9D9iex4OcCiqywRkFRcGomcGmfkk3dDHf1CFKrEkuaB+Sn0ovqDEQ/sgJodzU6cgCzYNl51lln4ayzzpp1TaVSwYYNG6Z9bseOHbj66qvxne98ByeeeCIA4O///u/xile8An/1V3+Fww47bKGXpCiKoswHTvNMsbt3RSgkAtpd1/prAhISFlQkG0e0rmRhYdn+3gRem7F1Jm6D5y9Lcq0tS3acBQkauZbAADkfo5tSZGchbcd5AVQW/M4oy5AlqUH5xje+gXXr1uHII4/Eb//2b+MXv/hF77nbbrsNa9as6YkTADjttNMQBAG+/e1vT3u8breL8fHxvoeiKIoyTyTNM02hLAAvpcO3hJIjH9IBFHLhaxBS7UgYkheK5TbkVKzt2WXWWhoS6Ju0pRnVsgSG0jxiApfnnM7hawsDcq6lCwVaHXeMdnf21yevTSMtq4JFFyhnnnkm/u3f/g033HAD/uIv/gI33XQTzjrrLBScT9y5cyfWrVvXt08URVi7di127tw57TEvu+wyjI6O9h4bN25c7MtWFEVZ3UidRm8KMePfzEUYyA1f6lKk9Tgy7q6R8BTiKOTiWY6aSBTGGCCI4Z3IHStyKSfnQuvdjvyiXREcvo/LdG3EWoey6lj0f9E3vOENve+PPfZYHHfccfiVX/kVfOMb38Cpp566R8e8+OKLcdFFF/V+Hh8fV5GiKIqyp8wnZZIXToCkHFERE7YsIzFSrVD0JDAUIUlioFtSYW3FTx3JMb1CV6lZ6WZceAuO3ITUolyJ6TlTAI1af5HsQtuPlRXJkrcZP+tZz8LBBx+MH/3oRwCADRs24PHHH+9bk+c5nnzyyRnrViqVCkZGRvoeiqIoygKQNl7ApXAAJ1a6qXOQlTW9SAg/LK/v5p4pGtzcnWbbi3SUTnjI8bPcGbDJtGNb8nYRTSxs8sLZ5/tpnpnwBYza3q8Kllyg/OxnP8MvfvELHHrooQCALVu2YPfu3bjjjjt6a2688UaUZYmTTjppqS9HURTlwEVSNoNFsrlnPZ/ETnyIw6sJqP4kYL8SsL19EJJnihi5lSABIoWyftrGgiIvsq0SU0cQwFb6OXupgNNGXhonzfpF1SDTOchqHcqKZ8EpnsnJyV40BAAefPBB3HXXXVi7di3Wrl2LP/7jP8a5556LDRs24Mc//jH+4A/+AL/6q7+KM844AwBw1FFH4cwzz8Q73vEOfPSjH0WWZbjwwgvxhje8QTt4FEVRlpLpajeqiZu7E8JFN3yiACi4uDXN0ItylAUQxUAtBlpdN4kYoHZj3wfFsgW+CJGuJeFTAjAlOchGEdvhM2FA+0SB6yzKCxJR06Gpn1XFgiMo3/3ud/Hc5z4Xz33ucwEAF110EZ773Ofi/e9/P8IwxN13341f//Vfx7Of/WxccMEFOOGEE3DzzTejUnF9X5/61KewadMmnHrqqXjFK16Bk08+Gf/3//7fxXtViqIoylSM8WzsiWazSW6yYNdYvz5F3GejyA3z63mqlJTqkUnHUUjHEIt8a/vN1kquaSlkOjKoOygACZu8oJqTmI3cxItFvFm6qUs7zSc6ommeFY+xduXFwcbHxzE6OoqxsTGtR1EURVkgzV88iaGDn9L7eetJL8TNX/4qTFEC1Zi7aIybEFxwO7C1QKfLNSGWoh8BgFoNaLdJYNiCWpADQymdLc+jk9xzP7BmlMSOWOjDgiYY8zmiEFg7Sl/l1iSTjaUVOYmBehWoJHNPMh4QY8r+ZyH3b53FoyiKcoBRXzOKrSe9sPfzLd/+FlrdDomKDt/oGzU3X6csXOonjIB6zYmQkkVLyYW0YpEfBP11I697LYsO9lEp2UPFcBTFll6HkDcoMIldNKQcKLydDm03XjWoQFEURTnAMGGIm6+/Abvu/6HbWPIAQFuQSMhyoFYloVCUFKGQWTlRQJOJA65pyXKgyKiOBHBDAxt14MhNtG3HfUCrCcBQNETcY0M+Zl7QeTpdEih+15GYwJUlRVsW4iyrrFhUoCiKohyAmEYNjTWjbkMvHeKZpxmeqwNpP7YcoTAkXCoJFcmGAQsIHh4Yx9SlEwTAv/67O4dFvzARB9s4ARDQ/mXpIi/SddQTK9yaPN9Jx8qKRgWKoijKgcp0XS8Szeik9HOt4hxm0xwYqrlW4WoC1LgLiGtjYQw5ziaxEzdCypGPiteFI4WziaGOnenaiaNgwAJ/nmih7IpGBYqiKIrC/iUBpWksR0OabVd7IgZsYugWhCQALEAdQGy6Vlogt5QmEu8UodsFmi3uxEG/z4kF7dvNgIkmbffboovCpYG66cyvQ+fyrBpUoCiKohyoDHa4SHGq8aIZzTbVosjajNuOJc2T50Clgp5Zm7VAlpKgqESUAhIKFj2tDnmqyLkqEc/oMXT8Nu/fa4v2BhminFukaKHsqkAFiqIoiuJu6n4BasnFsYV4oXiusxFPNg64TiXyDN7yktJB4qEiWBYXEy2KpBjjjh0EdA3SgvxLb2p9xMevxK4Qt93V6MgqRwWKoijKgcigq2wSs9jw5vGkuUuT1Cr0fMFpnL4Bf5YFCk82LksSKZ2UoiO9cwbePJ8MaHdc0Wwc0gMg0dJJgVbbm14cuCLboiCxM1sURdA6lBWLChRFUZQDFT8VEkc0nTjgtE1gnPgQE7ValdZGIQkEw8Wrkn6J4ASHtTwg0IvIvP18SuMAJBxy9jyJIxY3EaV+pBZlvElixhjX0VNhd1mLmWtMtA5lVaACRVEURUGz3YY1XFcSRa4gVYSAtBJL548JKJIRhM7ALQhdi7HlffMS2Hw07XP/Dp6pw94qzS5FSnIWQJUISHj4YM4CJs+dYZxY34eG/FLyYuYIidahrHhUoCiKoihYv2EDXnzWGdSUE0cgK3ueWiyzcaSItrTu+YLn40SB216t8qRibj/++KfciWRacsjma92um9kTRmy1zy60ra6zwfcLZi1HR1odN59HWXWoQFEURTlAqTca2PqiF/V+vuWWW9DKuI04YpFiLaVd/LRJlefgBIY9SkDRE8tfDbzOH0Mze4QwdPUsEd+CRGRUE7LRDwKuZSkoilIULnJTq1AEJgz6Td2UVYcKFEVRlAMUYwxuvvlm7Hrkp/1PiL19GFIXj9SBhN4to5KQkCgs0GjQttCQsDDecYwBCi8NE3KhbRC6CE2eu2F/UUhpnoAHBso0Yz+VU0nc97OleZQVjQoURVGUAxhjDBoiMABnK9/r8OFJwa1O/47SjlyUlKbJS1C0xJvHE0RTpwxbSyka6x2nk5LIaHfc8EDDgwvbXKdibf/QQBlKmOU8ZHAWkaICZkWiAkVRFEVxSLdMNeFBfiEAdoYVF9mipHoQcMTEWi6YNTRsUCIrNZ7TU3idPOe+BkhCF2WR57OczpHmQL3O0RruBOp44kjERhhwsW3hPFH8WhTt5FnxqEBRFEU5kBn0Q5Ft9A3Vksi9Pcud/0mvNiWg7SG7z8qgQRk+WEmAegN4tkw13g40myR8ZACg4fk/7ZQiLtLSHLJxW5qTCIlYLOWcfpI2Z6lFGZxyrJ08KxoVKIqiKAc6/o08L9iXxBMtdRYpUQBMtuk5SeXUYpq9U1oXFSkttRkHbGMfRcD//Zg73nmvAWA5ncR+K2FAQqTTpZqVJKIIiQX9PMGeKDJZOct5eCBHcfJCIyWrDBUoiqIoBzq+GOkZp3GXjbUcrTDo3TJkmF+1QtuqMT0lwiHNXB2LCSnyMTzsRVHuA3aPg+b3GNcBFAfAZIfqXbICSCquMDfLyFlWxJQtgcmWZ68vaSKtN1ktqEBRFEVR+slyFimBK0AdHaJtkSGxMNmin2sJUKsBsddZYznlkhYU5ajEVNPyr//u1pz36wDYEj+O3BwesItsN6XjJBFQcpSl3aV9Q04NiYmcRFVkdtBgYa6yIlGBoiiKokylYOEQco1JXgAN9iixPORvbAIAO7yONHiWjnHixJZUVxKGNNV4aBg48ig6/sMPAa95JYuZnNI0IQugsiQPlCJHL8pi2V12fNLVt0ShS+nEkfNTUfO2VYEKFEVRFMUhKRPxMJE5OyXXlAwPARXunilLoNl2E4lD7s4JQxIY4iwrxatJCHzmi8DTnk4/79hBU43BHTt5SZEYw3UlXbbbjwwJo1IKZjvOb8XAncMXU4OpHk39rDhUoCiKoig9mlnaa9qhNuPAOb6KR8roCIkQ38vEgFxgQ46iRBHVlIQBz9mJSXxUEuDzX3YnjELqAJJJypWE5vkEvN2WAAJKJQUhgNJZ30eR++rjO8xqq/GKRQWKoiiK0mP9+vV48akvgx28mecFPXqW81UeLMg+Jl2u+0gi+tlaKnQVJ1pwSiYw7hgApXnK0kVbisId2/DPec5ChMVGJ6UaFcANNowGbmcSRdFW4xWLChRFUZQDnHq9jq1bt/Z+vuWWW9BqtVw7sZ/mkVSJpH8KjkykmWstDsXGPieBkaZA2nVmbpUasMmrRTn9ZVSrYkHCI+cuoIK9VdKUak/kfOJ50ulOfTFija+1KCseFSiKoigHOL2ZPLt2+Rvpq7T5xpHzGpHnpfsGcN00vUhJQC3GkmpJCxcpSWLgi18Fnv4Meu7hh4BXnU5RGGPoaxQCjSoPDbTOaVamKeec6hF7fLCYCY27Rp3Ts6JRgaIoiqJMnckjnTKDLrM5F67KpGMZGmg41VPyvrakGhSABEXB7cMFF7TGCXD1DU6kPPIw8PpzXItwp0vpolrNtTt3U+exAi6YtSDhEgZOmBQcvelFdjSKshJRgaIoiqJMj4gUMW4TrRKwB4kB29onQJVbkkPeFsXsEBuTQIjgXGGLnAREvQp8zRMp9+8AWuwYW1pK7cQRXwfb4ZclpYDynERQziIl5/RRwWIkDCl6Yq3zT1FWFCpQFEVRlJnpucqGrlsm5VRMXgDgmTwxd9kkMXf1WErxGK5hCSJ3xzGG2pA7KXX3fOE/3Pl+4xwWHDlNMwbo3EkEIGB/FZCA6XRd8a5ESiTFI9Ef38BNWVGoQFEURVFmJ46cdX0Ucq0HTzrOS7euUSOREsWUZrGlGwiY584yX6IcZUlpofpQf9HsK04FwPN92h2KjBhuQ45AxwLo2J3UCRJrXf2KteReK5OUJZqirBhUoCiKoihzk8SuILYSUT2ItAuLEZsxQK1ChmyG/U+Kkn6WNIzldaWh50oLBHZq0ey5r+ZWY9CaKOLzsReLdA+Fhqcg5y4F1EldBCXyintbnX35jil7iQoURVEUZX5IQSy4ldha7vKx7udKQm6zhiMujSpHPwISKklEogKWvEsMF7PEEXDDN/rrUTotMm0Ts7halfY3hqYoRwGAAAgltQNn0hby+aWOBrbfwE1Z9qhAURRFUeZPrUJfJToCuAgKQCmVMATqMXfvlLQ2Dilq4k9HDgMgs65OxATAf17jjvWm11F6J02BrPQ6eEDfVxISJqWhqElg3HM+ldilorTteMWgFnuKoijKFJrNpmvTBYAsdnUe7XbPiK1ercEEAc3UiSKKapQlFcUa3jcvqCjWglIzxlJ9SsbusZl16Z56HThqM7DjPoqi/HI3DRlMOaXUzV2BbsbCqMjpuck2pZ8QABNNYM0IPS+t0llOAqcXVVGWMypQFEVRlCmsX79+Xuu2Pv8FuPmLX4EJeQqx5VRLNSFRIpGLJOHJxgbILaV0itK1LgNsX2+BL/4HcNQRtO115wBX3cB1K1x0m+cUbWl3aYpywUZuYUh1JkkCtAHUUpeWikLuLuIOpEZt8d4sZUnQFI+iKIoCYKrl/Xy45Tu3o9VsktjIMjfIL8uBkCccxywOkogESwBqFzaGIi4BKHoSchtxEFIUBQAeeoi6eiQNFBh63rLwaXaAoSqdqyhclCdNgVbbzeOpJE7kyCRmZVmjAkVRFEUB4CzvJycn6TExgclfPEmPiYm+bbse+anbUbxHSuuG+AUB1X4EFqhWnR19FHBdCnfiZFyTEoDFC4ubL3wVeMYz6VgPPQSc/XKqQ8lziroEcGZt7ZSLZnmScpvrUZodEinWuonKAIklNW9b9qhAURRFUXqI5f2UR1KZsq3HUMPVdMggvyik1t9ajQTJcB1ASV05UkOShC7qAXGqtQBYxFx3oxMpDz8EvPE1rqg2irmA1pt2LK63Abh2hu3xm22XAgrYEr/rTURWliUqUBRFUZTp8WfxWDuz0VkSUwsw7eSiFtaS6Igj2l6tkoCpJlwky4Klm9LdKAg8g7eSalVu/KYTKffvALqSTirpvKGhwtk0o7qSgutbSj5elpPZW8qGbvWqlwbSOT3LGRUoiqIoyszEXi9FlveLFp9Gza2NQmBskmpKurkzXJNakJLTPmXOtSdspmYM2eNnOdWZpGzAduXV7jxvfzMV35Y8mLDXocODBBOv+LaTukGDzY5rMZbrzHI1b1vGqEBRFEVRZma6KEocTV0DACNDXMQq6R52cA3Y2A2gCIZEMep1ajkODVCtAJGhYYNhSMIl5gmDQw3g6GNo//t3kHCRGUCVmO5kJiQhUq9wNIbrXUJ2k5XiWGsp8iKpHi2YXbaoQFEURVFmZ1CQzPb8cINSM0kEtFhISE2KtPqCxYflQYIATyPmIteYi2Yt75uXwP/7kjvH61/jOnX8FmKwfX61ysMES/ZdAUdzMhdFqSbuvGretixRgaIoiqLMn+lu5sa4YYJh6CIotqR6lHaXBIO1HLkwbj5OKWZrPENHXGmzgtqWATKGMwGw+Wj6+eGHgFefRetbXedo2+k4YzlrKYWUdsi0DYaiJWlGaR3ZR2b0aC3KskMFiqIoijI78ymWjXmYnzEURakknKoB0OnyfJzQ1aEkMYmRSsV5oFiQqOmm7PbK9SMlKCrz5auAZz6LzvfIw8A5rwCKjC31C+e/YgxHSHhyclGSeAlDN1Aw8xxpy1I7epYhKlAURVGUufHTOFLQyjQnJ9FstejRbKLZaaOZpmiiQLPdRnOyieZjj8NKtCSOuA6EUzL1ChXKRtxuXIAiHbUKRVsCkJ19WQA33uS6eh55GPj1s4A85f1y0FBATh0lbPwGy9OOc+dgW5ZOaOU5RXk0irKsUKt7RVEUZW4kiiIRFO9mvn7DhnkdYuuJz8fNV14FU6sCmQFqCdWp5Dw4MKwCeYsKZ0uetVOJvXlAHPW4/ibgtFPIwO2Rh4E3nAtc8f+4FiV3BbBJAuRdEieGhw52I6pRCbmluSjdQMKxSWDN8BK8ecqesKAIymWXXYbnP//5GB4exrp163DOOefggQce6FvT6XSwbds2POUpT8HQ0BDOPfdc7Nq1q2/NI488grPPPhv1eh3r1q3D7//+7yPPtUhJURRlWeMN2avXati6ZcuCdr/lu99Ba3KSUzgJma2FIQ/9M9RxkyRU1GoNkLLba8TpnyAA8owExbVeJOWB+4G0Td8XbNwmnUDVhNNHlopkuxlFT9KMoinVhLt7AHS75JmiLAsWJFBuuukmbNu2Dd/61rdw3XXXIcsynH766TT1knn3u9+Nr371q/j85z+Pm266CY8++ihe+9rX9p4vigJnn3020jTFrbfeik984hP4+Mc/jve///2L96oURVGUpYFTPSYIcPO1109vhb/zcUw+tguTP30Uk4/twq577nP7T7ZdwWy1QhGSMHATiZMYiBOO0oCEhKSTuilQGhIgSQhc+TV33NefS8cwAe3TZvO30DijOGspldPh7p9Ol0VKhQ3iAEy0tB5lmWCs3fOk2xNPPIF169bhpptuwimnnIKxsTEccsghuOKKK3DeeecBAO6//34cddRRuO222/DCF74QX/va1/DKV74Sjz76aG9a5kc/+lG8973vxRNPPIEkSeY87/j4OEZHRzE2NoaRkZE9vXxFURRlTxAHVmkDlpoSERJpRg+u82iOT2DoaU8FAEzevQONao08U6KQu2pYtAAkFlodLqzNgSCiluWypOgHDDBap+22BF55JrCDBdDTng78x1VUz2JA3ihJRBGYyQ4JmCoX7w41SBgZnhk02aJriELyaalW6DUpi8pC7t97VSQ7NjYGAFi7di0A4I477kCWZTjttNN6azZt2oSnPe1puO222wAAt912G4499ti+Ud5nnHEGxsfHsX379mnP0+12MT4+3vdQFEVR9hO+GLGWakP89uM44pk4gRMegrQht7tO3ESRO14nBSosKkxI9SgwbF0fArBAM6XnkwT46lXA059B+z7yMPCm3+ChgaA6ljwHOlwca3g+kAlcS7MMJ5RBgtLuLGkgZb+xxwKlLEu8613vwtatW3HMMeTwt3PnTiRJgjVr1vStXb9+PXbu3Nlb44sTeV6em47LLrsMo6OjvcfGjRv39LIVRVGUxUDcWKVw1u+KkYJaMWcTwQBQBCMIKPoRszAZqtNMnpgFSRzRkMEoBGxA2xN2lY1CStuI+droMHDDN5xI2XEfde9UKq72JOYhgXHoBhPGIYmRMHQtzRGLJ1u4NJR29uw39ligbNu2Dffeey8+85nPLOb1TMvFF1+MsbGx3uOnP/3p3DspiqIoS4t4nwDOYM1/TvAFSr3mOmi6qRMy9YRqQAB6LmLBEAfkJBtHri25yF2dSDendM3nPafZ004lIVRJqNjWliRIyoKEiGUTuIjn/cg1RixarKEUE6Aus/uRPRIoF154Ia688kp8/etfx+GHH97bvmHDBqRpit27d/et37VrFzZwG9qGDRumdPXIzxtmaFWrVCoYGRnpeyiKoij7mUEDt8GUiDzvi5cspxqRANQxk7HYKCytLcHdNimLEUtpGol25Nx+PNGkrpsiJwEzNAIcuYnO8dCDwJkvZxHDtStybXlG+7d5uGBpqf6kKPn8bOLW6bpaG516vF9YkECx1uLCCy/El770Jdx444145jOf2ff8CSecgDiOccMNN/S2PfDAA3jkkUewhdvRtmzZgnvuuQePP/54b811112HkZERbN68eW9ei6IoirKv8etRsnxqmkdqUYQopOhGUgHVkzS5hdhwBw+nfUpOG3FGhupEEqDCUQ4YYJwLWwN2r/38l6lQFgDu204TjiHDC0u6jjAg4RIYV4diOGKSxHQO8Udpd1yaJ820JmUfsyCBsm3bNnzyk5/EFVdcgeHhYezcuRM7d+5Eu03956Ojo7jgggtw0UUX4etf/zruuOMOvP3tb8eWLVvwwhe+EABw+umnY/PmzXjLW96C73//+7jmmmtwySWXYNu2bahUKov/ChVFUZSlQ0QI4ObaCLLdT/HkBdWcVGMSKcbQrJ3SAo0aiReZ6SMpF9Yj6HSAWp3rR3iWz0QL6HZIeAwPAZ/1Uj2//gqvjoRTRmHkxElZkFixHL2ZaJJ7bcTHzwoq5hWmixIpS8aCBMrll1+OsbEx/Nqv/RoOPfTQ3uOzn/1sb82HP/xhvPKVr8S5556LU045BRs2bMAXv/jF3vNhGOLKK69EGIbYsmUL3vzmN+Otb30rPvCBDyzeq1IURVH2HZXERUn8uTYSRfFt8ZtNNJ/4BZoGaGZdNLspmhNNNHfvRvPnP4etV4GhGi2O2Egtz0kwhCHVjgwPkVdKzvb3XU7JRAGw4WBg01G0/yMPA+f+Os/yyel4kdTNWNovy1y9SRAAzRaJFGPouTSlx2ypLGVJ2CsflP2F+qAoiqIsM6wFmm3umuG0ThKTD8ovd2PoKWvndZitL3gBbv7Pq2GKAhhrAiidB0oQuOMCXMOSAWFMbcIx+5/EEXDKVpp6DAA33w6MjJI4qVVI7LTaACx1CQ3X3HBDgI5RlK5AdqhGXUH8emiNUZ+UPWCf+aAoiqIoSg+pH8kLF2kwBvVGA1u3vGheh7jl9tvRmpgAYIChKs/KCelhDImLoqS24yoPGSwLKpjtdJ0vy7WuFhLn/wYXxBYUDQlDoFFlscHCKi9cR48Qhuxmm7tCWY2k7DNUoCiKoih7j18UC/QVl5okxs033kiW+D97DJOP/DcmH/4Z2eH/4klMPvwz7PrePe5YEUdCwoj8UfLCzcwxbKzWzamWpV5jPxZQGicvqZ4lrgCbj6bjPfIwcP55JEDKksRMFAOVKnrTjydbJEYydqs1hgRNFHDxr2fcpiJln6DTjBVFUZTFIY7cED6BUyImCNBoNIB63TnPyuyder3/Rh8Y8jZpd6hwtrRUBFtJgJRblsuc1h00RK3DeUkGbuCunsAA11xPqZ4HfwL84H4SJklCKZuioK9it29L2jfi2UCASymhdMZtZUnXIR1L8vDqbJTFQSMoiqIoytIzaNzmd/YAVBsidFMSEFWezVaJnA9Khd1mC+4Y6qRUf1KWHEFhF9h2SqLlP692x7UsNFKuLWl32WWWIybSsVPkJFLCgK5DyAv2Ycn7r1/N3JYEFSiKoijK4jBo3CYFpYM3cPEeKUr3fejd8DspiYWUhULAtSB5TgKj4MLZoqC1Wc6W+yBx0+6QW2ynA2SlO+4bz6NoSyd1U5K7HIkpLT2XZrSP1KWIJ0qa0fnFDyXLnQGdpnqWBBUoiqIoyuIhkRIpaAVc4apsl0LaMHDOrX5HTFkCaZet6Q0VxFZ42F8JqgsJ2QLfAIgS18FjAuc8ay3VsBzFJqAyTNBa8jjJCyA2PIQQdPx2Bz3P/YKjMtay7wr65w5FIT0vr3HlNcUua1SgKIqiKIuHH0WJov4oA0A/S4pHoii+gAFIrOSWIh1S3xFGPPyPZ+UAnNoBCZlKQucrSgABuchKhOYLX3HDBB/YAbSbrug15doTiaKUPM1YjOJMwFb5BR+z6BdfYejqUTTVs6ioQFEURVEWF9/+frDWJAxcWmew60eII3pYeJEXsNdJSD9YTs9EgRMJjRqQhC7akRf0fZ6TDb7w9jdzJMRS105uqQYmMC51lLFIqcSuFqXdobRTu8NzgfJ+m3+1w19UVKAoiqIoi49fFCumZtPVqEiExO+CqVZIiIgYSdmkLc+pNVg0TwA3r6eaUKSjUaeUkAXVlIDTSXHFOczev4P9UMBtyWxrX02A0lCRbJZR63Ec0fHCgJ7rdOh6JiYpYiOv1Rid2bPIqEBRFEVRFp9BMSJ1JhI18acc+0MGATQnJtEsCzTbLTTTDprtNpoTE2jmGZoT47DVhO9eXD9ScCFsLWHPlCq72YZsu8+pm49/0l3fb76Jni9LKoqVycm1hNNGcFOTk4SiK2FA2ztdEkPNlhNf8tpUpCwa6oOiKIqiLA1J7BxY5SHbJMIiLbtN1867/shfnfWwW593Im6+4nMwMRfZRhGJiSgkL5QgBEwMdAGAC2LjgLZtOooiKPdtJy+VKnuaiJ6II/JHaad0rKIkIRJFAOQauSXZBFSEK68VcK9XBIra4e8xGkFRFEVRlo54mr+D/UhKFALWoj48hK1btszrkLfc+V20spREQ4WnH1djNwcoiYCD11Lko1J1lvVRAPzzJ9yBahWqMUliILD0vOWC2dEGXZuYtRm4SccJF88WPMRQunoGIymyXdkjNIKiKIqi7Bv8dmJxnY1CoN2FCQPcfOXX0LLF1G4Yjr40x8axfvORtC0vnOgwIBFRZAACStWkGXDwGuAXu4EipIiIBdWcCKefBnzjZmdvn+fkJJvxsWsVSuUUFgDXqSRcwFuWVDA73uJi2sS9LmmdzljANOpL9pauZjSCoiiKoiwdg7Uo/jwbYzg6QfUoJs/RqNfRGBpCo1Kl75MKGtUaGjXa3iPndmDxISlLoDBAJwPARmvdjMRDENPXsgDiBHj2JtrnwZ8AZ51O3weGjtnt0jV2WWDAkulbV8zZSqpBMQGJmE4HGJ8Ado+71xUG7jWXPIxQWTAqUBRFUZSlxW879g3NZLtY2oeh65yRQlrZR3xTerB5WpqTWCitawnucESk06WOoHpMXzmdhH/5JLDx6XSY+7aTyJDhhHLcnAVKHNMj4vblLKPziRU+PMv9X47RMeOYWp4DESklF+sqC0EFiqIoirL0+LUog6Zs1YqzujcGGJ90AkX2y4uBeT6Bq/HIc1eLUqvQuqxgk7WUhEcjAWpVnrsTAB//tDvWm15H9Sy2oLUGlNbJcto/YLv9SkLn6rJHSr1CYqQoSFilOUVSpHW6Xpvqk6I1KfNGBYqiKIqy9MyU6pHn1gy71IikReKIbv5x5IpOhYSdY9PURTskIlOJ2Qul4Dk+FggiYLjGa3h/SfXsuI86dWSKcRzT3THnDqCMRQqMZ9rWJZFSrVAhblEAk036unuCRIzv/+K3H2sL8rxQgaIoiqLsGwZTPYM36tFhEgIy46bV5qgFi5TCFygRd9OEJFIynr+TxCxWQpeykXOaEBgZJgO4MAQu/1d3vDeeR8LIwAmlwDqflLKgKcqgQ1K6h1ukk4iESpYDuydpn2abHoOdPeL5oiJlTlSgKIqiKPuOmepRANreqJFIEfv6dtetC71bVqNOBa+hYR+UnApZS0+khAGndHifwNBdb6hB39frwBHcFXT/Do6AWCqEjUOKsojAEWFhwWkdtsQvLaWMAkMixViKxliuO2m2nEjxbf1VpMyJChRFURRl3zJTPQpAN3IRKYEMB7QuZTJ4nDjiTiDutslyEjdxTGIi4NtcFJKYCDldVGV/lH/yfFHSlG3uuVvHWqBSQd9045KFRTWha8oyEifiNhtEJJg6qRNNzVZ/TY0/5VlFyoyoQFEURVH2LbPVowB0E69XKb1TemmVTnfqcZKEJw9Hznck5+6bwIAGC4K+xmzsFsdUZBuHTsAAwAVv5VbjlARPzlGTKGJjtpInKufUuRNFtCYv6CH1LWIYJ2mgoqT1M015VpEyLSpQFEVRlH3PXKkeKTCtVZ23iCcmmq0Wmp02zeopczTTFM12l+b4tFuwZUmRGMPnsgVPLA6AobpzmB0dBo7kYtkf3A+kXRIQJTgSw4MCk4i6duBFYYxxEZaQX0slcTUsSUzPSYGv3yrtT3kefP0KAHWSVRRFUfYX4iYL9LvM+s9FoXNm9Vj/q8+a9dBbX3ASbr7yKpgkpshLYYFWlyzxsxKohECRUIfOxz4JvOhE2rHIgcjQdiRUHBuIBX5AdSbtDqWe0i4LmBAA165EPIE5Cun6w5DSPXFE+9Wq7rXEkft+8PUrGkFRFEVR9hNztR77brNliXq9hq0vOGleh77l9m+jNTnJ0Qk+RzclE7e84I4gS98b71b4/72V1qTsKtvskL9JYelrXvC045Ls83sdRJZES6tDx87YQE7qTXr1KG0nSvJi9lTXAY5GUBRFUZT9x3QTj+Wm3Tf5uAqTZrj5P65Eq9VyRa9i1BbQ5OHm7jGsP+l5tH9Zuhk5aU6+Jt2Mak8K62boGAMceRTwwA5K83RbQFKj4cUm5+LWuCeUqCiXxUerQ63LZUHXIK3EYQDUuEVaDOUGC4LjyHUc+Z09GkkBoAJFURRF2d/MJ9UTk6eJiUI0AraYl9SK3PiLgVqOLkc8alXAdGhbnrM9PgAYMnKrhcAnPgW8kIVNVgL1gFI2eQkEJRByJCQIgNACmSFBkuaU6kkqTqTkGWBjEi9DdVe8GwZ0/jCg5+pVV6viizQVKQA0xaMoiqLsb+aT6gEoilGW1OJrQTf7onQdNoNeKbBkQZ/lQK1G0ZKIi157dvh8jmrV7fbO3ySxExj0hgWWJRm3GZCoCQ2tMRaY7FCqBxxBKUGpoSDgeT5cp1KWdH5Z12pTfYy1c5vYHYCoQFEURVH2P7PdoP3nalW60ccRiZSsAGBJtMhEYkG8TNo8oTiJgOE6Ha+wVChrLXmZ1BvAUZtpvx/cD7RarmtIIjEpCxWxyg8CrkcpKGoik5UrEW2bbFPRreGiWXHJDQOXomp1gJ/vnlmkHMDdPSpQFEVRlOXBQkRKwL4mIdWeIM1di68ggsGWPLOHZ+gM1WjfvHSDANMU+PQX3L5xTOIn4lRLJyVxUrKbbBSQKIr4fJ3M1aeUHMkpC6DZpfROwK3HecHDEQM37bgoaBKypHYG34MDNJqiAkVRFEVZPixEpIQsLqQNuChcUSxAaZU0B2AoSiIzfVpt8kQZrnvdQqACWiGS6cUZp2VA6ZiSO3+ywm2PQhItLREjpl+QTLSATsc56La7dP3DDeefkhXUZTQoUqZ7Hw4QVKAoiqIoy4vZTNwGRUqt4lqRBwtLo4AEQGCoBkVM06QOJUlIpERsjW+89BA45VJnQ7copFoXWwKJN+OnXncpnJjrTGRoYSVhZ1nPNdafzBwEwPBQrwCYIjSlS/fM9j4cAKhAURRFUZYfs83r8Z+LQpdmKUpKnwhispZmJBR899Yum8CFITnEJpFL5wDA294EoGQXWynULZ1FPTi1VJbo3UoDttXPcorYRCEJqIKFRc86n83b5LVIEW3O1vitNp/CzP4+rHK0zVhRFEVZfkjqZbrWW/85w/N2AC5kTXuHaDabQA4AJdBuk/V9lgFxjHpSgWl3SdyUlh6NIWDTUTTZ+L7twESTimcNSFwYdpgdt1ysyx0+Mv/HVADwOql5qSTcsdOl8zfb7nVI2kYGI+Y5tS/HEQ0YbNSnvg++T8wqRwWKoiiKsjyZzR9E/FGMIRFQeOkRZv2W58946K0nnYSb/+NKmC7b0cegtM8nPweceCwtsiW1EQchpYOyzJm1dbpAJe4NOgZAEY56hepJCgugpHbjWoVETLvLU5AzEkYp+ucORV4URURKvTa7T8wqRlM8iqIoyvJlpqJZ3x8lCnupknq9jq0nzW2Hf8u3v41Wp0PiJGN32SAE1o64RW99E6jAlgti45jcZaX7JivoeamByQqKqsj0Y8t1Ku2uG3jYM2zjdFGrw2kiuDoaY0iIlNZZ4x+AHikaQVEURVGWNzNFUvztUUjZFQA3/+fVaI2Pc11HTumVnG74zbyL9SedQMeVaEuFBwBWEiCoAkcfA2y/l6zvJ8aBkVESE0EARHwNIe9vQX/qFyDH2Ul2iK1xN1EnpVqYbkrrh+q8P9ewhIFzyk1idr6tkKiRSIrf2XMAuc1qBEVRFEVZ/swUSUli19LLRbAmidEYHUWjWkVjaBiNQw5Co1FH46ARNCK/iJadYaWuI8/pWP/xFW8Nd+VUQkr3SPmHZRfZUpxsCyCI6Gu3Q8KkwV1GANfH8MBAmQEUGEojSVqnzdORjSGRE0eusFaE2AEUSVGBoiiKoqwMZhMpsedJ0qvpiEgAIKBZOQWAqhd1SFMSKdJSXLJYMF63TxCS6MgKSvFYblsu4Tp75BrynCIrUqybF1STMlwnYZNmVFfSSV0tSQk3SFBM2fy6lDjuFykHULpHBYqiKIqycphNpPjdLQZOpOQFFaeGA8eyllIvXb7pixjJvXbet59PX3NL0ZV64kQNDEVNADZnC6m2pGAzt7FJIIyo9blWobRONwWaTYqk5Dldl8wDgmfLL5GUOHIiBSARdYCIFBUoiqIoyspiOgMziThInUbIhbOVhOfelMDIUL8XSgkWFvxV5uRUa8Ax3Mmz4z5qLY4MpXTqPHTQcCQltFRYG0ZcSBtx2qjkyckpMNSgFuN6ldZIaqks+byR82QpSxJJ/myeOOKJzPyay9JFivz3YJWhAkVRFEVZeUxnYBZH/QIEoJ+rCd3t8pLahYUatycDFIUIAxIJxgD/7z+8c4UgYzZLdSRxRMZuWU71JxNNFimgY0jxbFbQcTssUmpVHhpogHbK9vpdz/yN6WbU3SORFICuqebVz0gB7eB7sIrQLh5FURRl5TGdkZukRfxUT1Gy6AjpJl54YiDNgLqkTwInUoKgf50JXEFru8NW+SFQpvRzUiGRggC9mpSsoB/HJyn1I1GPKCIBUuYkXExIURhYd+1lSamgKOxP3+SFe82S5lnFJm4aQVEURVFWJjPVo8SRi4xEIUUqahVO9XipEEnxhFx7IkZp3bx/KnKD5/GIq70BiRhxk80LICsphWOsO2daAu0MGJ9gMRJQqieOyKgtK4BACmQ9G/w4dGkewBXJAv2iRDp7hFUWRVGBoiiKoqxcBotjpZjUT/X4U4dDt73ZbaM5Polmp41mmaE5Po5mpwsL22eZj3NeBQzV6HsLN7E4ZIfZkgVElgGNBteVBNyGXFA6Z7JNx6wm1EkURbRO5vSkGYmUjEVW6M3rkULfLHemdH4kRVJEq6xgVlM8iqIoysrGN2wLQ1ef4UdXkphu+JH7u3z9846b9nBbT3w+br7i8zCbNwP33Qfcey/QYQO2VheAl1KK2fskz4AoIYFUrwDNLkdrDAmIdoumIGc5Fdq2O0DBnTsAm7lZmudTZlSIGwa92UGI+HVJe7L/mgE6bxStKhO3BUVQLrvsMjz/+c/H8PAw1q1bh3POOQcPPPBA35pf+7VfgzGm7/Fbv/VbfWseeeQRnH322ajX61i3bh1+//d/H3m+ukJTiqIoyj5EIikiSjKOavhCZbiOerWKrS+Y3Qr/lu9+B61Oi+byCBk7vFYi8kLhUTuAcR4qacGW+VysK6mekEXKZIvSR52ua4EOOaoTsHjpsC1+l71SJPojZnR+vU2fuyxc9GiVdPUsKIJy0003Ydu2bXj+85+PPM/xh3/4hzj99NNx3333odFo9Na94x3vwAc+8IHez/V6vfd9URQ4++yzsWHDBtx666147LHH8Na3vhVxHOPP//zPF+ElKYqiKAckElWYKdoAwNTruPmrV6I12aJoykSLbv5hgOZkE+tP4KhKgV69KwDgtb8OXH09tSrvnqDUTFmSaJlouoLWwFCHTxgAlrt/cq5pyQuaqhxxIW4lpuiLCUjIFOxx0myTd0qWUzeP1K34dSetNk07BrwxAHDRo1UwVHBBAuXqq6/u+/njH/841q1bhzvuuAOnnHJKb3u9XseGDRumPca1116L++67D9dffz3Wr1+P5zznOfiTP/kTvPe978Uf/dEfIfFbwBRFURRlISQxRR+A/hu5J15MrYaGMRQJaTTIUC0IgSHvOJUYMBGwaTNw/33AfduB3buB0RESDJMt2r8ogZEGsHuSIyUZpXbCkIQHMoqopDm7xua0bxQ4DxRjgLBKa5DRMXK+Pcdh/9RmnimEkk3mKnzP9GcVSfRkhXf17FWR7NjYGABg7dq1fds/9alP4eCDD8YxxxyDiy++GK1Wq/fcbbfdhmOPPRbr16/vbTvjjDMwPj6O7du3T3uebreL8fHxvoeiKIqiTIvMuQHcjRzon9tT5Y4bGKoJyXPySRHCgIpZP/kZ78CWWoTF+TUwXH9iKeJhQMcr+VhxREIHhr72vFFyYKJN30uBayUh4RNEQGnIHwWWalkkcpJmdK1+GkvSPX5RsBxzhXf17HGRbFmWeNe73oWtW7fimGOO6W1/05vehKc//ek47LDDcPfdd+O9730vHnjgAXzxi18EAOzcubNPnADo/bxz585pz3XZZZfhj//4j/f0UhVFUZQDjXqNUiWDHiFJ7G741apbX02A3OvcqVYADJijWUPCpeSpxK02pXMQsLBIWLCUFE2xoHOUAFBSlKbbBVAARU6+KiU/wgAYHXLCRMRFwL4o4o8C9BfIyja/RmWVRFH2WKBs27YN9957L/7rv/6rb/s73/nO3vfHHnssDj30UJx66qn48Y9/jF/5lV/Zo3NdfPHFuOiii3o/j4+PY+PGjXt24YqiKMqBgdSi5AUQeDUZcdTfjisW9+XA/rUqMDnpfg5AKZ2icB08aQEkLFyikGpTbMHtyDl16sQhEHDqKY6cb0o3pRSPeLbEEQmfJ8eBJKT6k5EGravXaL8Kr5OZPIB7LfJ6AVq7wmtR9ijFc+GFF+LKK6/E17/+dRx++OGzrj3pJKqW/tGPfgQA2LBhA3bt2tW3Rn6eqW6lUqlgZGSk76EoiqIoM2JMf1ShLN2NPOAiVaHg6IYfaMhzFiNeN8zrzgVggU4GNDtUY2LZqC0v0LulliXN78lyGv5XluxpYuhhwf4oXeCXE25dzhOTg4AHF5ZUxCtDDaWmRl6fMf02+UXZn/6RTqYV2tGzIIFircWFF16IL33pS7jxxhvxzGc+c8597rrrLgDAoYceCgDYsmUL7rnnHjz++OO9Nddddx1GRkawefPmhVyOoiiKosyMRDnkRu4bmdW94XtJTKmUykCkwQAYHgKO4nvTjvuAsXHanhdso+914EhrcRg6UVBanoTMKZokBsIYlMYpyLxtbJynKnOKac0wiZhIREqbjpNxgWyr7YYI9hnSha4+JgxclGWF1qIsSKBs27YNn/zkJ3HFFVdgeHgYO3fuxM6dO9Fuk6L78Y9/jD/5kz/BHXfcgYceeghf+cpX8Na3vhWnnHIKjjuOWrdOP/10bN68GW95y1vw/e9/H9dccw0uueQSbNu2DZVKZbbTK4qiKMr8kSiDDNWTiIJ0xfg+ItVKf62GzLqJI+AzX3TbZa4OSidSipKiHt2MalKi0K2rcpqllOsJKH0Tx5QKAmj/sXHq7gFo/9EhFwEqeQaQXFfpCS15jXLt4pQbBHTcwejRCmJBAuXyyy/H2NgYfu3Xfg2HHnpo7/HZz34WAJAkCa6//nqcfvrp2LRpE/7n//yfOPfcc/HVr361d4wwDHHllVciDENs2bIFb37zm/HWt761zzdFURRFURYFESEiUgaHC/pW+TVXNNucbKL5y91odrtolu7mXrzxPPJ+LYDegD9J88RcQBtF7G0SAJ2cRUrqohsRtyAnCYkUERDjk0Cz5QTHU0ZdN1KRkZutgRNaEhnxDel891yZLSTRoxWW6jHWrrArBhXJjo6OYmxsTOtRFEVRlNnxUztiCT9IlqPZbGJow7ppD3EngOfy96cddzyu+8J/cFcxd/q0uk5MADz1mCckBwHVsgQctYkCGiLYa4XmaEwAiuQ06mQIZy0Vyo43gRBAGAHDdfZXgRMl8tXv7pHUjgw9DAJnWrcfWcj9W4cFKoqiKKsbP7IwnTjJyX21Xq9j6wu3THuIF3vff+vu76M1thuAobtoN+V2Y1DrsAEJgbyk85UlejN38pzESuJNUA5DnhFkqJh2sg1MTLoamuE6z/WxVJwL9IsQvxhWIkJSD1MU/ameFRST0GGBiqIoyurHby2WqIPc2HlasEli3HztdWilXeqqmWyxMADQaQEnHA8AuBkAcpBt/Zphrgsp2bgtICO2OAJCbjkOPKEQcptxFNJ5swyoVFi/ZFRQ2+2S4BlvUjFvUfDUZBY/zTaZuhUFRUYGhYdEUoxxwxMzTkf57dbLHBUoiqIoyupHoih+LUbfFGRqGTZJjEYSkwV+vU5CxZbAcB3FUZsR7rgPzwXQzDpAyDPowogiKSYATA7YAEAJ1GIgC/pn8cCS+LCgrqEyIFO3WgJ0LN2Vuzl5qIggCQJgqEbRldL2upURmJlrS0SEiFCRCIqImRVg3qYpHkVRFOXAIPb+JpcCU3+b7ykCUJSjEvNcHYPOJz/d/3xgqHMnYsUQcXeOtB3LGkkryblSzxEuCJxZWxxx+odn96SZ80cBKGoi6RtpSc4L+j4vprYTSxvydDb4KwCNoCiKoigHBoNRFIkkDLYXx5FrHTbGGbYV3s29LKl1OOO5O0NVN6cH4OGAltuNxfG1oGgMSqAMKdpSSUiIlJZmA5UFzeIBOLoDVwQbRezBwoZshr9mhTNwk7X+65WfO13qVEozN2RwGaMRFEVRFOXAYbooymArcpZzNCSiG3kS9T8PoPpbFzgfE1sCk9y1U5ZOVOQFCQ7LzrUR+6AYkLgoSkrlwAIVbk0OIzZ/C1j8ZCRwQhZKQ3Vab62z3BdTtm461e+kktC5Y04rpZmrvVnmqEBRFEVRDhwGvUL8ehRJn0iHjIiSaoVSPZUqvseHCe/fwdEQz7W10yWRYkFfQ/YhCY0roo3k3HwdaU5iJIpcG3LJNTE5tx+3U9e9E4ZUMAuuRckyF/HJC2pLHhQf9SoLJL4eqbtZ5qhAURRFUQ4spouiAGx5783v8TthIoqm+O3GZMomdvkRFcOmXBAbctQiDCn1I86yFrQtAHqRkA7Xmcg8oCQCAssTka2b5dPq0Pe1ivNWEZ0hgwLLwtWnCOKREkfueOPNRX5TFx8VKIqiKMqBxWAUxU+LiJmZL1JqFUqVGIO+uMMbz3PHCgylZ9KMhUjgbO8NKB1keFBgYCiCEoZUxyLDACX6ErAnShy6lJDM1Wl3aX2F5/kAFD2RmpIOp3AGUz2SrgpDN5G5WN4FsypQFEVRlAMP3+J+sFVXog3yXLtD22pVtIBemgc77kPzF79As9NBc3ISzXYHzXYbtpNS7YgBdfVEIaVrrKG0kLjKliWJkKKk5wE3aTm3nPrhDiEDACXtLzUqMgQxNCRc4oieT9OpaRwRUo2ae73LfIigdvEoiqIoBya+eVs2YGBWSShlU1o3SZijFC8GMMnL1m05Ea2Bw259zvNw879/GkYG9yUJUHZddKQoAEh0hMVCmXMUhW/LERfJVmM3SyfLgbgkMVJJAFuh7p2scEW5UUg/m8xFTfzXWxRThdky9UTRCIqiKIpyYDJTwazQqPfNy6kPD2Hrlhf1pXmmu7XfctedaDXbzso+Ciglk4hg4UhHZEi8GO4SKnJaF3D6Jw4p6iLdP5bbkMFFtMbwgEOOvsRcK2MsHX8ma/toZdz6V8ZVKoqiKMpSMFPBrOBNODZ5gZtvvBGPP/hQb9vYkZswuf0BTN7zAHbdvd3tJyIj5WNGnMqJQwBSi8IdQzVpb2Y7/CSmtA14Zo8JneFbYV06SAzYcpnzU7rZPsDcpmzTmbstI1SgKIqiKAcuc0VR/OfzAqYo0Fi/HjjmWABA+MD9aGQFGkkFjdBLpwSGClZhKHUjbctF6YYHFrlXpMvPtTrUsUMH4WNwjUrJxa0ddo7tXZuldmPL3T4wtH66YlnD0Rgpui3LqWuWCSpQFEVRlAOb2aIo0qIrXT1BQELi2uvcmoJn5hTevkFArcIZC4aidN0+pfWM3HjisQgjES257TdhC3k/CwAsZOT6ahWKvuSlSysBXDDrFcsa40zbwrDfUXcZ+qKoQFEURVEObOaKosSRs5CXGTt+YembXwdKx3hFtiVc3Uie0fMF+6CIuZsYuQlh6NxeZRBgJWFTN/BAQgtknmusRETikFqZxWFWOocGoygynwfon9GzDFM9KlAURVEUZa4oim91HwY06fhYSvNgx33UTeP7ilRErBiA61p7oiMMnFus4a4eC9dhk/PMHil0jcVLhaMoUUCio9Ph2pSQxJGInWyaKMp0aRxfcC3DKIoKFEVRFEWZTxRFvkq65upr+9eU3pRimd8j1vlF4U059hxl45AKX8XEzbKFfcnnLy0VyeZ8zIBTPsawBb50C0WcKuL6lm7K1+wZzvmpnp6HSuC2L7MoigoURVEURQHmF0WRdVLPIbzpNyhyIcgsHsuiJS/IQC0KeB3XiwSB5yBr2BY/oHbiICRhURS0Ji84MuO5y6YZbc8Lalm2cGkiETLio9JLCXnCSV4bsOyiKCpQFEVRFAWYfxRFvm80gGOPo5/v2w50O+75wtKQvigmoRLy7JyCjd/KkoSI1JkE3lydnAcIwjrDNnCtidSvSC1LzvUoeU5rE+kkMlRIKxESMXpLs/7XkRf9Py8jVKAoiqIoijDfKApAAuMaP83jPRdxt0+94gzXrKGC2Yhn8EjEpQQPAPSmGEuKJwypMLbk+TtidR8GrqYl59ZjcZSVqIwBuc4ODkCU1wJMFWLLKM2zPGWToiiKouwPRIT47be+KEliV88hE4sFryummedA0eZ24hTIO0A3B7nAhqhX672ACHXnBEClQikeA04N8QDCOKGUjzFAtcIeKBEQgwUFX2PJFvpDdWCyxdtKV0grqR5r6WdfrMz2mvcTKlAURVEUxWe2GT2Dz3tU3/LG3vfrn/2rs55i6/NOwM1XfJZjLha96ItMPs7BbrJwEZOiBGzmUkMAXVuW0XN+23Al7q9RadS8Lp9poiQzvKb9iaZ4FEVRFMVnrloUf1211qtDCe/fgVOPf868TnHLnXegNdmk2pGC609MwNOOSzJsa3a86AYozVMUTkgUlqz0xV9lskNpnrLk1BBcWifP3WvKcveaprO7XyZpHo2gKIqiKMogs0VR/JRIFAI33ggccjAA4LqPfxKtIASqCQ/uA6VYmm2g3UVz9xjWn/ZiOk7OwiT3jh9Fbn5PWpC/SjWhFmNJ0RTcShxyIW2Hr9OWQLdL9SyVmF5DhyMorS4V7Yr46GbuNUh79DJL82gERVEURVEGWUhHT+H8T8ybXo9GvYZGkqBRq6ExMozG0DAaI6NoDA2h0ai7/SxHOyxIWPSmGIu1PkdSyoI7gTgq0qs54WLaJEGvBajFc38s6DgypFDElrRGB8ZNap7uNS0DVKAoiqIoynTMp6PHGHKVPY7bjXdsZ4fXgKIUOXuRxOz2GnrHFCt8WCBlMSIeJTDUvdPNKZJSFBRFiWJ2ny3doMAwAJm/WcB4c3qSGKgl7vrLkqIxQneWmpNlkOZRgaIoiqIo0zEYRRksIpUhgnEEfO0at/1159INXjxMJDISRUDs3XbFSE3cZQveFgauQFYmFac57V+ruPk8YpUfBECt5lI1nS6JFGNI0ER8jnaXvkoURez0Z3q9+9m0TQWKoiiKosyEiBBgepEirrLDw95snu1UO1JyrYiIhTgkwSDI5GJr2Rclc06wAQsPCy6CLbm9mCMsoaFrSWLnmRLz99ZSyqgs2XKfu3vEldaPonjpqd7rWSaoQFEURVGU2ZhNpPiDBP3ZPG88j9aFIdeEcOQi8mtX2N01CMikrSyAMgdQkmAJDN2lS/R32/jppbLgWhLLJm0h/SwFtUkMVDmKImJIhA5AXT/LyN7eRwWKoiiKoszFoEjxb+pJTCJjaMhFUbbfS2LDkjEbwLN7qn43ED8qvH/JdvaWC1jlfAYcTeHpxpWEoygseIwBAhY+AVxdi1xjyEMD/a6cnmfK/k/lzIQKFEVRFEWZD7OlP+KIHl+9ym2TItjIu9UOplTy0ouMcKpH3F+t5foVjpQUpTNbA0j4SDQklLqSWa7fv45llMqZCRUoiqIoirJQpuvqkVZg4TW/TsWtUghr4OpFADS7XTSbk2iOjaE5PoFma5K+jo3BdlOKpBQsWgqOnvTETEA/Syon5+2WvVXKATEDTBU4C32N+5jlL6EURVEUZTkwOLNGJgNL6iSOgLVrKM1zzz2U5mm3aHsSkdgIXVxg/ekvmfFUW49/Lm7+t8/C9FI7hgpc45iiKVHIPijeXKAcztsk82plAs4liSmb9az153qN+9GwTSMoiqIoijJfpiuY9YfuRRHwn1e79WefQd05WQGEAeqVKrae+Pw5T3PL97+HVmuCz8PtyGlOIiUIndDxIzaG61xMiF5tibjdRivvdq8RFEVRFEVZCP5EY6A/mpLEwCFPcVGUhx4EXnYK8PVvAsbAVCu4+QtfQmt8gvbpps4R1gDNrIP1p3JkpSiAtEutyQUXvpYlCZ7pohp9tvWhi4Z0Uqp1Cb19Zkrf+AXAxuy36AmgERRFURRFWThJPHM0pVoBbrkNeNav0HMPPQi89BRg926gk8LUqmg0htAYHkZjZISs8Wt1NJI6GmHFnaOwJCzETM3ysMBOOn0xrLXsgwIgNnR9vbZofk4iLpMtOvZgd48vXPZzIa0KFEVRFEXZE4zpFymAEwRDdeDee/tFytHPBl7+UrKYrydUBhLHbN5m2fPEUx4lF8CmORXBBqBC1yxzoqUo+r/mHI0JAkrtjDepMDYv6VrjCPjlOA8ktGyfz0LEjwrt5+gJoAJFURRFUfaOmaIpUQhs3w4cc6xbu+M+4IxTacpwFNPsnEqFvuc0Tw9r3PTiks3buplLwxQ5CY8ip8hHxk6xZEVLwqTdBcBty9UKsHvCm4YcAmtG6JyD4sSf3ryfUIGiKIqiKHvLdNGU0pKp2ne/Czz8M+CZz6LtO+4DHn+CDNrqDaoNqVWc4ZsQGLa+l9oS6+pVJJ0DFi8moJRQwJ4otQoJEIm0NGrOW0XEyVPWUETFj9osE3ECqEBRFEVRlMVDoilCygWthx8K3Hab237Sc4HTXgrAcoqFi1j7UjxcT2JL6gIqPFt63/AtCNkLxZJQiSKKljRbvMCQGBqbdKmgkQZFePyak8Fr38+oQFEURVGUxcQY50cCkHjIcoqWPP8FbvuO+4CTtwBP/IJqQgbtScqSak/KkoRFu8OdPanr/gG7zKYdIE/JjTYIgPFJOmfONSu/kLoTcJTG8Iyg5VNzMogKFEVRFEVZbOJ4asoniYEbbgR+/BDwjGfStocfAl5wPPC61wCT4/1+JWXB04zBxbEcRWl3gU6Xa1Ys0M6os6cE7S++K2kKNJu0v7U8MBDAyJA3iwfLKq3joz4oiqIoirIUyI1fohRZTj8ftgH43l3AyVvJbRYAHtgBnPwCVH/12WgAaAJoNtskLnw6baASoR5FMDKIsN3mFuKAUkqNBGi1SczUqiRaDCgVtHbUG0Jo+p1wlxnG2mU6xnAWxsfHMTo6irGxMYyMjOzvy1EURVGU+SHpHil8ffKXwOkvB+7b3rfsewBeDBIq07H1Oc/DzVd8Fqbd5Xk8XBxbTVyXT71OUZMwAtaOuHbi/ShMFnL/XlCK5/LLL8dxxx2HkZERjIyMYMuWLfja177We77T6WDbtm14ylOegqGhIZx77rnYtWtX3zEeeeQRnH322ajX61i3bh1+//d/H3m+fwcSKYqiKMo+QaIqSUyFrIccTF0+P/1v4Kije8ueC2ASwJ0AGtMc5pa77kTrF09SLUpRAEUGgGtVChYnSQgMN4B1a0mc+OdeplETnwUJlMMPPxwf/OAHcccdd+C73/0uXvayl+HVr341tm8n5ffud78bX/3qV/H5z38eN910Ex599FG89rWv7e1fFAXOPvtspGmKW2+9FZ/4xCfw8Y9/HO9///sX91UpiqIoynJGilJFqKw7BLjju8AjP4M9anNvmQiV/FlHYPKLV2PXF705P5NdIC2o3gSGvFTCkEziKjFwyFpgeMiJkhUiTIS9TvGsXbsWf/mXf4nzzjsPhxxyCK644gqcd955AID7778fRx11FG677Ta88IUvxNe+9jW88pWvxKOPPor169cDAD760Y/ive99L5544gkkSTKvc2qKR1EURVl1yO24mwJP/Bw443Tq9PEonnUERn/yQ1gAj191ExqSxmkMkfdJrULpnCRZlvUlS5bi8SmKAp/5zGfQbDaxZcsW3HHHHciyDKeddlpvzaZNm/C0pz0Nt3Hv92233YZjjz22J04A4IwzzsD4+HgvCjMd3W4X4+PjfQ9FURRFWVVIVKVaAQ4/DLjnbuDRxwAvohL+5IeYBNemdDu0sTEEjDaAw9cBGzcAjfqKi5ZMx4IFyj333IOhoSFUKhX81m/9Fr70pS9h8+bN2LlzJ5IkwZo1a/rWr1+/Hjt37gQA7Ny5s0+cyPPy3ExcdtllGB0d7T02bty40MtWFEVRlJWDMZSuOXQDcO89JFSOPGrqunVrgV89HHjGU0mYLEM/kz1lwW3GRx55JO666y6MjY3hC1/4At72trfhpptuWopr63HxxRfjoosu6v08Pj6uIkVRFEU5MAgCEir33Qv7xBNo3fZ9AED95VupGHaVCJJBFixQkiTBr/7qrwIATjjhBHznO9/B3/7t3+L1r3890jTF7t27+6Iou3btwoYNGwAAGzZswO233953POnykTXTUalUUKlUZnxeURRFUVY9QQCzfj0a55y+v69kn7DXTrJlWaLb7eKEE05AHMe44YYbes898MADeOSRR7BlyxYAwJYtW3DPPffg8ccf76257rrrMDIygs2bN085tqIoiqIoByYLiqBcfPHFOOuss/C0pz0NExMTuOKKK/CNb3wD11xzDUZHR3HBBRfgoosuwtq1azEyMoLf/d3fxZYtW/DCF74QAHD66adj8+bNeMtb3oIPfehD2LlzJy655BJs27ZNIySKoiiKovRYkEB5/PHH8da3vhWPPfYYRkdHcdxxx+Gaa67By1/+cgDAhz/8YQRBgHPPPRfdbhdnnHEG/uEf/qG3fxiGuPLKK/Hbv/3b2LJlCxqNBt72trfhAx/4wOK+KkVRFEVRVjRqda8oiqIoyj5hn/igKIqiKIqiLBUqUBRFURRFWXaoQFEURVEUZdmhAkVRFEVRlGWHChRFURRFUZYdKlAURVEURVl2qEBRFEVRFGXZoQJFURRFUZRlhwoURVEURVGWHQueZrwcEPPb8fHx/XwliqIoiqLMF7lvz8fEfkUKlImJCQDAxo0b9/OVKIqiKIqyUCYmJjA6OjrrmhU5i6csSzz66KMYHh6GMWafnHN8fBwbN27ET3/60wN2/o++B/oeAPoeAPoeAPoeAPoeAAt/D6y1mJiYwGGHHYYgmL3KZEVGUIIgwOGHH75fzj0yMnLA/iIK+h7oewDoewDoewDoewDoewAs7D2YK3IiaJGsoiiKoijLDhUoiqIoiqIsO1SgzJNKpYJLL70UlUplf1/KfkPfA30PAH0PAH0PAH0PAH0PgKV9D1ZkkayiKIqiKKsbjaAoiqIoirLsUIGiKIqiKMqyQwWKoiiKoijLDhUoiqIoiqIsO1SgALj88stx3HHH9YxmtmzZgq997Wvz2vczn/kMjDE455xzlvYil5g9eQ92796Nbdu24dBDD0WlUsGzn/1sXHXVVfvoihefPXkP/uZv/gZHHnkkarUaNm7ciHe/+93odDr76IqXng9+8IMwxuBd73rXrOs+//nPY9OmTahWqzj22GNX9O/BIPN5D/7pn/4JL37xi3HQQQfhoIMOwmmnnYbbb799313kEjPf3wNhtXwu+sz3PVhtn4s+830PFutzcUU6yS42hx9+OD74wQ/iiCOOgLUWn/jEJ/DqV78a3/ve93D00UfPuN9DDz2E97znPXjxi1+8D692aVjoe5CmKV7+8pdj3bp1+MIXvoCnPvWpePjhh7FmzZp9f/GLxELfgyuuuALve9/78K//+q940YtehB/84Af4zd/8TRhj8Nd//df74RUsLt/5znfwj//4jzjuuONmXXfrrbfijW98Iy677DK88pWvxBVXXIFzzjkHd955J4455ph9dLVLw3zfg2984xt44xvfiBe96EWoVqv4i7/4C5x++unYvn07nvrUp+6jq10a5vseCKvpc1GY73uwGj8Xhfm+B4v6uWiVaTnooIPsP//zP8/4fJ7n9kUvepH953/+Z/u2t73NvvrVr953F7ePmO09uPzyy+2znvUsm6bpPr6qfcts78G2bdvsy172sr5tF110kd26deu+uLQlZWJiwh5xxBH2uuuusy95yUvs7/3e78249nWve509++yz+7addNJJ9n/8j/+xxFe5tCzkPRgkz3M7PDxsP/GJTyzdBe4DFvoerMbPxYW8B6v1c3Eh78Fifi5qimeAoijwmc98Bs1mE1u2bJlx3Qc+8AGsW7cOF1xwwT68un3DfN6Dr3zlK9iyZQu2bduG9evX45hjjsGf//mfoyiKfXy1S8N83oMXvehFuOOOO3qh/J/85Ce46qqr8IpXvGJfXuqSsG3bNpx99tk47bTT5lx72223TVl3xhln4Lbbbluqy9snLOQ9GKTVaiHLMqxdu3YJrmzfsdD3YDV+Li7kPVitn4sLeQ8W83NRUzzMPffcgy1btqDT6WBoaAhf+tKXsHnz5mnX/td//Rf+5V/+BXfddde+vcglZiHvwU9+8hPceOONOP/883HVVVfhRz/6EX7nd34HWZbh0ksv3cdXvngs5D1405vehJ///Oc4+eSTYa1Fnuf4rd/6LfzhH/7hPr7qxeUzn/kM7rzzTnznO9+Z1/qdO3di/fr1fdvWr1+PnTt3LsXl7RMW+h4M8t73vheHHXbYHomb5cJC34PV+Lm40PdgNX4uLvQ9WNTPxQXHXFYp3W7X/vCHP7Tf/e537fve9z578MEH2+3bt09ZNz4+bp/xjGfYq666qrdttYQy5/seWGvtEUccYTdu3GjzPO9t+9//+3/bDRs27KvLXRIW8h58/etft+vXr7f/9E//ZO+++277xS9+0W7cuNF+4AMf2MdXvXg88sgjdt26dfb73/9+b9tcId04ju0VV1zRt+0jH/mIXbdu3VJd5pKyJ++Bz2WXXWYPOuigvv1XGgt9D1bj5+Ke/B6sts/FPXkPFvNzUQXKDJx66qn2ne9855Tt3/ve9ywAG4Zh72GMscYYG4ah/dGPfrQfrnZpmOk9sNbaU045xZ566ql926666ioLwHa73X1xefuE2d6Dk08+2b7nPe/p2/bv//7vtlar2aIo9sXlLTpf+tKXpvx+A+j9fvsfvMLGjRvthz/84b5t73//++1xxx23j656cdmT90D4y7/8Szs6Omq/853v7MMrXnwW+h6sxs/FPfk9WG2fi3vyHizm56KmeGagLEt0u90p2zdt2oR77rmnb9sll1yCiYkJ/O3f/i02bty4ry5xyZnpPQCArVu34oorrkBZlggCKmX6wQ9+gEMPPRRJkuzLy1xSZnsPWq1W77ULYRgCAOwKHXF16qmnTvn9fvvb345Nmzbhve99b+/1+WzZsgU33HBDX+vhddddN2sN13JmT94DAPjQhz6EP/uzP8M111yDE088cV9c6pKx0PdgNX4u7snvwWr7XNyT92BRPxf3QlytGt73vvfZm266yT744IP27rvvtu973/usMcZee+211lpr3/KWt9j3ve99M+6/0kOZ1i78PXjkkUfs8PCwvfDCC+0DDzxgr7zySrtu3Tr7p3/6p/vrJew1C30PLr30Ujs8PGw//elP25/85Cf22muvtb/yK79iX/e61+2vl7AkDIZ0B9+HW265xUZRZP/qr/7K7tixw1566aU2jmN7zz337IerXRrmeg8++MEP2iRJ7Be+8AX72GOP9R4TExP74WqXhrneg0FWw+fiIHO9B6vxc3GQud6Dxfxc1AgKgMcffxxvfetb8dhjj2F0dBTHHXccrrnmGrz85S8HADzyyCNTFOFqY6HvwcaNG3HNNdfg3e9+N4477jg89alPxe/93u/hve997/56CXvNQt+DSy65BMYYXHLJJfjv//5vHHLIIXjVq16FP/uzP9tfL2GfMPg+vOhFL8IVV1yBSy65BH/4h3+II444Al/+8pdXvAfKbAy+B5dffjnSNMV5553Xt+7SSy/FH/3RH+3jq9s3HAifi3NxIHwuzsVSfi4aa1doLFpRFEVRlFXLgS1/FUVRFEVZlqhAURRFURRl2aECRVEURVGUZYcKFEVRFEVRlh0qUBRFURRFWXaoQFEURVEUZdmhAkVRFEVRlGWHChRFURRFUZYdKlAURVEURVl2qEBRFEVRFGXZoQJFURRFUZRlhwoURVEURVGWHf9/MyaBfCoSQiEAAAAASUVORK5CYII=", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(100, 301)" - ] - }, - "execution_count": 34, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# Generate perturbed models single\n", - "i = 200\n", - "vs_orig = vs_interp_rm_sandwich[i]\n", - "# Find Moho\n", - "moho_idx = moho_idxs[i]\n", - "plt.figure()\n", - "plt.step(vs_orig,depth_interp,c='k')\n", - "plt.scatter(vs_orig[moho_idx],depth_interp[moho_idx],c='r',marker='x')\n", - "plt.axhline(y=depth_interp[moho_idx],color='r',linestyle='--')\n", - "\n", - "vs_perts = []\n", - "perturb_num = 100\n", - "random_seeds = np.random.randint(0,1000000,perturb_num)\n", - "for i in range(perturb_num):\n", - " # Generate perturbed profile\n", - " vs_pert, controle_node_t, controle_node_vs = augment_crust_moho_mantle(vs_orig, \n", - " depth_interp, \n", - " moho_idx, \n", - " vs_perturb_range=[-0.1,0.2],\n", - " crust_nodes_range=[3,8],\n", - " mantle_nodes_range=[8,12],\n", - " moho_shift_range=5,\n", - " gaussian_smooth_sigma=1.5,\n", - " return_nodes=True,\n", - " random_seed=random_seeds[i])\n", - " # plot the perturbed profile\n", - " plt.step(vs_pert,depth_interp,c='pink' if i !=0 else 'r',alpha=0.1 if i !=0 else 1, zorder=1 if i !=0 else 2)\n", - " # plt.scatter(controle_node_vs,controle_node_t,c='b',alpha=0.2)\n", - " vs_perts.append(vs_pert)\n", - "vs_perts = np.array(vs_perts)\n", - "plt.gca().invert_yaxis()\n", - "plt.show()\n", - "np.unique(vs_perts,axis=0).shape" - ] - }, - { - "cell_type": "code", - "execution_count": 35, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "((7371, 301), (7371,))" - ] - }, - "execution_count": 35, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vs_interp_rm_sandwich.shape,moho_idxs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 36, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "258276fcd1394c8e996ec2da8ef3d94b", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/7371 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 5\n", - "ncols = 5\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "for i in range(nrows):\n", - " for j in range(ncols):\n", - " sta_idx = np.random.randint(0,len(vs_interp_rm_sandwich))\n", - " axs[i,j].step(vs_interp_rm_sandwich[sta_idx,:],depth_interp,c='k',label='original', linewidth=2)\n", - "\n", - " for k in range(perturb_num):\n", - " axs[i,j].step(aug_vs_list[k,sta_idx,:],depth_interp,c='r',label='perturbed' if k == 0 else None, linewidth=1)\n", - "\n", - " axs[i,j].invert_yaxis()\n", - " axs[i,j].set_title(f'sta_idx: {sta_idx}')\n", - " if j == 0:\n", - " axs[i,j].set_ylabel('Depth (km)')\n", - " else:\n", - " axs[i,j].tick_params(labelleft=False)\n", - " if i == nrows-1:\n", - " axs[i,j].set_xlabel('Vs (km/s)')\n", - " else:\n", - " axs[i,j].tick_params(labelbottom=False)\n", - "plt.show()" - ] - }, - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## Step 5: Dispersion Curve Inversion" - ] - }, - { - "cell_type": "code", - "execution_count": 38, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "a2df7a560f6c4143a646199f4472addb", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/44226 [00:00" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "nrows = 10\n", - "ncols = 10\n", - "fig,axs = plt.subplots(nrows,ncols,figsize=(10,10))\n", - "\n", - "for i in range(nrows):\n", - " for j in range(ncols//2):\n", - "\n", - " sta_idx = np.random.randint(0,vs_interp_rm_sandwich.shape[0])\n", - " \n", - " # velocity profile\n", - " for k in range(perturb_num+1):\n", - " axs[i,j*2].step(vel_models[k*vs_interp_rm_sandwich.shape[0]+sta_idx][:,2],\n", - " vel_models[k*vs_interp_rm_sandwich.shape[0]+sta_idx][:,0],\n", - " linewidth=1 if k == 0 else 0.5,color='k' if k == 0 else 'r')\n", - " axs[i,j*2].set_xticks([])\n", - " axs[i,j*2].set_yticks([])\n", - " axs[i,j*2].invert_yaxis()\n", - "\n", - " # dispersion curve\n", - " for k in range(perturb_num+1):\n", - " axs[i,j*2+1].plot(disp_data[k*vs_interp_rm_sandwich.shape[0]+sta_idx][:,0],\n", - " disp_data[k*vs_interp_rm_sandwich.shape[0]+sta_idx][:,1],\n", - " linewidth=1 if k==0 else 0.5,c='r' if k==0 else \"pink\", zorder=2 if k==0 else 1)\n", - " axs[i,j*2+1].plot(disp_data[k*vs_interp_rm_sandwich.shape[0]+sta_idx][:,0],\n", - " disp_data[k*vs_interp_rm_sandwich.shape[0]+sta_idx][:,2],\n", - " linewidth=1 if k==0 else 0.5,c='b' if k==0 else \"lightblue\", zorder=2 if k==0 else 1)\n", - " axs[i,j*2+1].set_xticks([])\n", - " axs[i,j*2+1].set_yticks([])\n", - "plt.subplots_adjust(wspace=0.05,hspace=0.05)\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 41, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "((44226, 301, 4), (44226, 300, 3))" - ] - }, - "execution_count": 41, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "phase_mask = np.sum(disp_data[:,:,1] == 0,axis=1)==0\n", - "group_mask = np.sum(disp_data[:,:,2] == 0,axis=1)==0\n", - "mask = phase_mask*group_mask\n", - "\n", - "\n", - "# loc = np.hstack((LON.reshape(-1,1),LAT.reshape(-1,1)))[mask,:]\n", - "vel_models = vel_models[mask,:,:]\n", - "disp_data = disp_data[mask,:,:]\n", - "\n", - "vel_models.shape,disp_data.shape" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [ - "import os\n", - "save_base_path = \"../../../Datasets/OpenSWI-deep/1s-100s-Aug\"\n", - "# Save processed data as compressed npz files\n", - "# np.savez_compressed(os.path.join(save_base_path, \"CSEM_South_Atlantic_loc.npz\"),\n", - "# data=loc.astype(np.float32))\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_South_Atlantic_model.npz\"),\n", - " data=vel_models.astype(np.float32))\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_South_Atlantic_disp.npz\"),\n", - " data=disp_data.astype(np.float32))" - ] - }, - { - "cell_type": "code", - "execution_count": null, - "metadata": {}, - "outputs": [], - "source": [] - } - ], - "metadata": { - "kernelspec": { - "display_name": "ADinversion", - "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": "3.10.0" - } - }, - "nbformat": 4, - "nbformat_minor": 2 -}