diff --git "a/Datasets-Construction/OpenSWI-deep/1s-100s-Aug/10_CSEM_Australasia.ipynb" "b/Datasets-Construction/OpenSWI-deep/1s-100s-Aug/10_CSEM_Australasia.ipynb" deleted file mode 100644--- "a/Datasets-Construction/OpenSWI-deep/1s-100s-Aug/10_CSEM_Australasia.ipynb" +++ /dev/null @@ -1,1022 +0,0 @@ -{ - "cells": [ - { - "cell_type": "markdown", - "metadata": {}, - "source": [ - "## CSEM_Australasia\n", - "Details of the dataset:\n", - "- Name: \tCSEM_Australasia\n", - "- Title: \tAustralasian 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", - "- Erdinc Saygin\n", - " - CSIRO\n", - " - Perth, Australia\n", - "- Brian L. N. Kennett\n", - " - Australian National University\n", - " - Canberra, Australia\n", - "- Hans-Peter Bunge\n", - " - Ludwig Maximilian University\n", - " - Munich, Germany\n", - "- Heiner Igel\n", - " - Ludwig Maximilian University\n", - " - Munich, Germany\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., Kennett, B. L. N., Igel, H., Bunge, H.-P., 2009. Full seismic waveform tomography for upper-mantle structure in the Australasian region using adjoint methods. Geophysical Journal International 179, 1703-1725.\n", - "- Fichtner, A., Kennett, B. L. N., Igel, H., Bunge, H.-P., 2010. Full waveform tomography for radially anisotropic structure: New insights into present and past states of the Australasian upper mantle. Earth and Planetary Science Letters 290, 270-280.\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", - "\n", - "DOI:\tdoi:10.17611/DP/18027074\n", - "\n", - "Depth Coverage:\t0.0 - 500.0 km\n", - "\n", - "Areal Coverage:\tLatitude: -50.0 to 0.0 Longitude: 100.0 to 180.0\n", - "\n", - "Model Description\t\n", - " - CSEM_Australasia (V. 2019.12.01) is the Australasian 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 modeling and adjoint techniques, as described in Fichtner et al. (2006, 2009). 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 Australasian full-waveform inversion described in Fichtner et al. (2010).\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\n", - "- [cos.ethz.ch/research/CSEM.html](https://ds.iris.edu/spud/earthmodel/18027074)\n", - "\n", - "EMC Page\n", - "- [ds.iris.edu/ds/products/emc-csem_australasia/](http://ds.iris.edu/ds/products/emc-csem_australasia)\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: 51, longitude: 81)\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 -50.0 -49.0 -48.0 -47.0 ... -3.0 -2.0 -1.0 0.0\n", - " * longitude (longitude) float32 100.0 101.0 102.0 103.0 ... 178.0 179.0 180.0\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_australasia\n", - " reference: Fichtner et al., GRL (2018); Fichtner et a...\n", - " references: https://cos.ethz.ch/research/CSEM.html\n", - " summary: CSEM extraction of Australasia\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-australasia-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": [ - "(51,) (81,) (51,) (51, 51, 81) (51, 51, 81)\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", - "\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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" - ] - }, - "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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", - "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, 51, 81)" - ] - }, - "execution_count": 6, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 7, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "(4131, 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": [ - "(4131, 301)" - ] - }, - "execution_count": 8, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "# -------------------------------------------------------\n", - "# interp to 1 km thickness\n", - "# -------------------------------------------------------\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='linear')\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": "51f1a5de8c0b4b6f93ece8cd4ec4f442", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/4131 [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": "b5b9600cc5b346c2827ae5a35520a855", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/4131 [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": 19, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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", - "text/plain": [ - "
" - ] - }, - "metadata": {}, - "output_type": "display_data" - }, - { - "data": { - "text/plain": [ - "(100, 301)" - ] - }, - "execution_count": 19, - "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=[-0.2,0.2],\n", - " crust_nodes_range=[3,8],\n", - " mantle_nodes_range=[10,15],\n", - " moho_shift_range=5,\n", - " gaussian_smooth_sigma=2,\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": 20, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "((4131, 301), (4131,))" - ] - }, - "execution_count": 20, - "metadata": {}, - "output_type": "execute_result" - } - ], - "source": [ - "vs_interp_rm_sandwich.shape,moho_idxs.shape" - ] - }, - { - "cell_type": "code", - "execution_count": 21, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "931ad83eccfd4cca8e9c63eb582ecda2", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/4131 [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_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=0.5)\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": 23, - "metadata": {}, - "outputs": [ - { - "data": { - "application/vnd.jupyter.widget-view+json": { - "model_id": "6ee7bd229efc406aa5c658b2aae36fc0", - "version_major": 2, - "version_minor": 0 - }, - "text/plain": [ - " 0%| | 0/24786 [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": 26, - "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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zWbsy6BcMAXG8ndqBDMAeV+NtMFGbTnhqCa0mzf5zptm/v4biXWYFnKXdxS7rqoGq0pKtN2iGg8CLrvB9qgx7cp+cDH1BXUPRsuwZzwFdw87emLti9OrXAv/yDaB3HTA5ATzr2cDJYSCXBZ71HCB+QQSx7z/mvq9rLXD8qblfk7mBH3L0CCAqZ1n/gw8qksHNmBtkPDAAdK4RwezyncBbbgXuuRt4/gtEdU8DMLAJ+MVT7srf9x4TX+vP/xzYu3fh17GMhuMpPDGeqLryJ/daekUD4u/3Sg0xN+3YUNU1MfytEG9A9FYHR0dHoWka1q1bh0AgAMuyUJj7g6cGsvXr18MwDLsBJRaL2V9vvmDo13XsvZ/VQmo0zf5zptm/v4by2I/dny+2yidDZLmKnleFoOc1+cl70PmnHwUAuzlh+qoXoOfx/0DheVch9u//JkKYDGjFIrCuTwS933ol8K1vVl7+BCpX2crRNBHG1Mrfs58D/Odxd+UvHBZVt188JT5+1fXA4z91Dy5u8PC23IbjKTw5kYBpsfLXcorFIoaHh12BUIa/wNwf8tFR0e49ODgI0zRdYU8Vi8WgaVpNgqEcds1QSCul2X/ONPv3t+L8GhEWGvrU0zu6O+dvypDHe6nv8+u/Dvz4x0B3N5BIADffDLz0pcD+/TAzGRSCIVz8Hx9Fx10fR3RMvJdsTpC384Y2XQeueYUYIeJX+dvxHCA+Laps3/pXcd9zLhdDhNeudZZJA0FRgZsbcwZNA265peanSdDyYfhbRdT5g3LkzOTkJADAMAzf4CWXl/v6+ny/ppxZGAwG7fcwTROXXHKJ3dEsw2Emk7HDn5c8Gs/viD2AwZBqp9l/zjT797fi1GpfOAS86HnVv3a+OX+SrgH/9s/AX3xCBLBLLxXDfjduBEZHRdD74hfdrzEM5PvWIzgX9AAg3b8RM295B9YMfQqGZcF4wYvEPjm5X+65V4jlz0qVv7+4b1lHiNDqwPC3SnmDIOA/C9A0zYr7D/0qhuPj4wBEYFTDoQyGfuSeRV3pgtJ13RX4ys1PHBwctKuZ6rUzLJKfZv850+zf34rwO8Kr2u5dtcpnmv5HmP3pnaK69pydwDknvNnHcHkZBnDZDtHhKpdMX/4K/PzFL8Vl93zcnkGX2Pt+9L71raXdvrIpY6XO+K1ANkMsaM5ffNZ9wsfc/kZv40Q1J3wYGvBr6zrtPXSYu09eA+Ac8GFomt2osaOnw36N2jBzSVsIx6dm6t59u9wY/pqAGgQlbyBcSJhS9yNWWk72XoMaDOVytZxt6CWD4dTUFABg3bp1Ja81DKOkoik/X8pZz7S6NfvPmWb//padegrGQip9fs0g0p/eCfz7N0X36m+9wukqVa1dOxcWTdGw8MtfOEuvL3+FPeBXzuYbyMziknAQxyB+ru1MJrCtI9xQ1bojY9N2oCo35Llcs0I5izrhY4FfcymvkfcHdefvoYCuIV0wq+72Lfdr5dfwUbM5i/Ng+GtSlSqDy1FVk+/v12msfl4sFvHMM8/Yn8vKoWmaKBaL0HXdrgrKUCif39/fb38f5Za9vRgaV79m/znT7N/fsvIef3bZ5uoqZd7XPfRl4P6/B658PnD4e+65crJrFQCuuBIYHhalpQ/+PnDt9WXf4ttre8VJG4A9hPmmZ/dX+53VjQx4flNvFkv9WjJMqdU1OWBa14D+DvdcQu/r1a/h/VgaiIm/62pZ+Ss3VqcWvN9DUNdclcyVbPgIlH2EGpKmafb+u0gk4gqCmUym7sfFqe/f1tbmeswbDDdv3gwArsHV8vNcLldyOsoll1yC8fFxZLNZBAIBV6VQ3mqaVhIIR0ZGMDIyMu8JLl4MjESr1OnzzsfVBD91T5+s7mma01Txr//ibrBoawNeeR3wgx8Ae94GvO4N1SWmjjbE54b+SwOd/vull2rPHuDBB53thlddBfz8mIlsRsOzfq2A6Wd0PPcFeXz/myHkshq27WxH4kIMnWtNnPi5CKeBoAVYQKHg/Dzd/tw8Rn4ZQKGgoX2NifSMjt2vyuD2u+Il16D+ksiQI2/HU1n7cdMCptI51+Pe13sf86vWyQpcLakz+0KGXtPKnxo8DQ2ukFm0nBB7fEocGCEfl/dLZ5MZ7Krpd83KX9OoZolYtZx777zXZlkWEgnxL2wZCOXHmUwGuVwO4XDY1b2sDsT2vi4QCOD8+fML+n6qPfLPi4Gxfpr950yzf3/L4idPie7acBCANv/eOLnE+/CXgb/6SyCX859hd+PrgO88Jip9b3+PCHve8379zHX7HlnXh7N6AAOxCGZyBTsYXLuld9Hf6p49wAMPuPs9BgacvpJ/fNCCWZTnS6i3sD/WDfkclHmen9Kvo2kWDMOyA+FsQkcoYmFgewHDx4IIRSz8+rVZHH88iNe9K4Xrbpm1w5DkPZEEqFz5kyHKu+fv6Ljn1I95zLfs63dfPZZ9K72ft6Lpt2R+/Xb/5k4vLvuSbyAEKodCef9yLR97r0kdRaMecScDo7crWR6pp56zLK1Zs8bVqKKqZmC3FwNjfTX7z5lm//7qzrtk+7IXVH7u6fPAg18Uy7qzs6VHhcmfDW98I/CJvyjt9i23PtrbbZ9dO9zWjuNTM66/qKsdxutnaAg4eFCMyvM2DQtOqNv9qgwO/0sEa/uKuDBuYOtz8jj7q8BclS+PxAUdO67K4z++FUYuq2H7zjwSFwzE1harrvx1rDExO6MjGAKyaW+IdH8sg2Znl4lIm4X33VHAP3xex/EnA9jxvAJ++w1pPDjUZofD+ci9eN7w5/31VoPSYpZ9e6KhkkpbrVS7R5FDnmlZlAuFwPzBUD5W63BYLgyq1+E3o1C+znvOciolDuVub2+379c0rWIgnM9yBkag9UJjs/+cafbvr+5++CSQnWtS62gDrr68/HP/YD/wf/4WiMdFpU+e95rLieaQP7oTeO1NTnewX5VPDX+6BgSDJZXGh58+j7xp2fW0hezNGhoC9u8XH193nZiLnEyKRmLDsFCcq+rJgFYsaujZIILe7ldl8OF7EmXDgrx0v/yq3qdGOMnvDNqhIeD97xfjALu7xS9rNApcfjnwk5+Ij2+4wf09DA4Ccz/+AAAbN5kYPaOjs8u033/jYBH/+bMAjICFSBvw3/el8eLXJ+3XePfi+YUp7/fjF/7m6+aVJ60AqFvlz6+SySHP1DAqBUOgunAoH19KQKwmDKrv432+aZr26ShyyViOt1EDYVdX16LDYDUWExiB1qwyNvvPmWb//urmh0+IMSgBHTAC5Zd61dEt11/jrvTFOoFvftc9Ekbll5ICyp8jz5FwMixkiyLIBHUNr7ls/bzfiqzs7dsnbmU4kr0lXd0mQlELz35+Dr/4abBslUyGTZV3mVXeJ4+J8wt19aB+j3/zN2Le9QteALzjHeJ+GQ79rF3rfPzil+fx7/9mIJMSlclw1MKdH8vjlbfMuho+Kp2tC4jAKKt7HPXiYPijBZkvHALVB0T5nGpC4lL2NMrXegNhOp1GIBBAe3t7TSqDtbTYKuPg4CAuvfTSOl1VfTX7z5lm//7qYiFLva+4HvjWo2JMC+BU/Lq6gHe/F/iTPy79eoB/5a/CrMDheMredxbUNQR0bd4AIat88bjoKxkcFOHojz5somgCv/HyPI4eCeD1757Bb79x1hXa/Mj3LVf5W0zQU88ZHk1mSqpZ3gqX2mm72Irntm2ichgIAHMHVdnBUG22lgYH3UvibW3A4GV5HP95ALtflcGH7or7Vv789glWO+ql5EzlBsfwRyummoAILD0kLmVPIwDMzs4imUyWVAa7u7sbKghW61e/+hVGRkZwzTXXrMrqX7P/nGn2768u1KXe+c7NNQynYzfWKZLBW94OfPxA5RM8dA3o6QKm5wKCp8onyXCkjga5sq+zbDCoVOW77z7glbekSkKJDHU90ZA9JsX7eLm5e2rgA2AHOfl15ONhQ3eNRgFKq4iLMRBb+pDn7385hk8fFN3RL//tIr7/70Ekk+JI4WgUuOsu4LbbSkOh/esTFP9FIs5S+r59wPNfO73oUS/q/xO/Zd/lqKYuBMMfNbx6hUT1NdV8LTmaxjRNe69gPp9HIBBAZ2en3XjS6KeTFItFHDp0aNVW/5r950yzf381JRs2Otvt5grfpd6DHwfuuRv4wO3AoUPANx8Rlb/3fQh4/RuBYEB0B3uXdb2fzzMkeiHVPhn6JidFn8natcCBA6LaVbQsvPn2JD70PsPVuOANTt5A4rfMKwOgGggTuQJMq7rl0HJ0MZpwQZU/P0sd8lyu4eM9vxvAN782N/UhamHLZUUcfzIAbwezbEDZuMnES39Td43FkcctHzwIvPP9WVzxGrENwK/yB5TuPSx3vX57/pY7FDL8UdOoZUiUQU/tJFZfL7uJM5kMZmfFXptAIGA/t6OjA5FIBNFotCGD4Gqu/jX7z5lm//5q6rs/cToWXnK1/3MOfhzYv09U+9ZvAB74uvOY7MiVVUNA7OHzO8atiuPgHjkxbgeXStU+AGhvF6FPWrsWmJpyB8hoQMeOng57zxkAVxVqvmVfGU4qhRK5120hlT8ZsBYSWNTl4loe7wZU1/ABAHff0YXv/3MERsCCYQDBMHDlb4rRMzfvncVn/iTmGoujGxY29FslDSjRdhOTYwZ6+4tIp8Sqzzv/IIWXvGHGdwD1fCefqPsN52v4qFVI5JBnahrqYOlK1KHXlb4WIAZNe0Oi35gZy7LsUTKzs7OYnJyEYRgIhUL2f/JrNkKFcOvWrRgZGcHJkydXZfWPCGMTcE0H9qMGP10H3vUeEfgmp8XtdEIs8cq/73u7ga5Y6X6/eQZEe4NNub+k5cDlm28G0mnnfrm3Tw1+AOzAVzAtu8NThj41MJSj7lWT36Ja+Vuuo8QAYFtXe9ng4r1/oaHy2GTSFZbUsS2Ac8LH7XfFcftdft2+Cezo6cATP3KPxdn9qgyueGEeDw61IZ3SMXNRBL2ZixoADZNjBmQ0/tzH2/B//zKKHVflcfR7IQAa1m8qYPgXQVy2s4ATTxkoFDRsf24e//tLU66isvr/0RsS1SHPxyaTru9rKXP+qsXKH7WchVQS1bmClmVhZmbG3htYKIg/zJFIxP4YAKLRqCusequM9Q6Hq7X61+w/Z5r9+6sZdZ9fb7f7DFy5pjo9DSQSIvh94A+Bm98klm3lcnE+L/4GDhjAi68qbfQIGGX39qnkKJdy3bzycs6cETnUMEQAfPBB4L/cmMd7/tcFu8LnrRyq1US5lCyrcn7LvKpm7latB3m0nd+ev8f+X4e9z9Cv8qdrQCKuVzEw24JuAFufk8f4GREeb71jBk/8KIjD/xKx789nNQTDwJ7bk3Ynt1+nthfn/BEtE7+QqJ5pLMMgAASDQeTzeczOzqJYLNpVRRkK5TnG3s/VJWVVMBiEpmm+lcX5BINBPPbYY6tu71+z/5xp9u+vJtRxLd5wNjQEvOc94uNAAOjpBd58K/C6m8Vz1REuAUMkMblnsFh0mj2qPAfYu8/PL/z19Iju1GBQhL+bbwY+9peiWpgrmijOjYHZ2RsrqSAC7rluU+lc2T1xi5kjSLWhDt5+9FFxX98m0WGsVv4EdyDcuMnEuTHNcxLL3DM1C6+4IYejRwJ43x0FzOQK+PTBCAANV780i598J4RMSkOxqOGlv5PBoa9Xd0wgwx/RMqg0X1A+LiuF8nMZAL1BUCoUCq7zi2WwlB/LW03TEIvFXB3J8lrGx8cxOjqKF77whYuq/q3E0nWz/5xp9u9vydTqnF8DxqZNwNmz4mNNA/79iPu5j/3Yea4MeN9/XIS+MkOaK6m0z8+vqWNqSjz20H+eczVbyODot+dPhj/TslC03Eu4jdZFSpXJpf+rrgKGh8V9Bw4A3/mO+/7padFQAzjjbOQ4V+/cR8kwRMdzNbjnj2gZ+O1HlEOk51Nu+TmdTiOXyyEUCtljaNrb2+0AKI+0y+fzSKVSrvcLBoOIRCIYGBjA6Ogozp49u+BB0ZlMBplMpqruaqnRO6FpFZAVP0CENEkmrec8F5h8BshlgWtf6TxeLIrgqO75A8TysRz9ousVu3lV8+3zGxpyxo2sXQv09op9ffbleM6q3dHTUbLnrycqlhy9S32BKodFU+O5/37xn9feve77/U52kb9/1PsffVQMxC4WRUW51hj+iFZIuUYWtXElGo3aH69Zs8Y1ysZbZczlcrh48SKi0ShisRg2bdqEM2fO4LLLLltQ9a+axhlVubDIQEhVG5twlmUDhlOdU5d6x8aAfzssSmPhIFA0xWsKRbHPTw13asUvHHKHyQrk3jAAmErnXJvsZQaVfyEbhqjs7N0rXveV4xkMxCIYiEXs7s5sUYRPeXSYJLti5XvpGhA2dHs5mJrX3r3iv3KPLReGP6IG4w2FMoypIUsGK7XqZ1kWLly4gFQqhWQyiXBYnHSw0M7farurvdenUsMrUUXeZoytG52PDxxwPs7nnS6IbF6EOhkYy4W7BVT8ALg6bNUg5q32yS7eV96SwiMnnGaOs8kMbtqxAbvgNIscm0yirz1c8rXVQPi8BY5XIVoqhj+iBifDmDcEdnV1uSprmqZh7dq10HUdoVAIU1NT6Our7XiAStcnVdtNTQRAVO0kbzPGm24F7v5fYsPTjsud+8NBkcS8Xbuy27e70xkOXQU5VkRtrFDD2MGDpdU+AHj46STypuV63bdPTbrGehQtC1NpZ96gHNGizvlj8KPltnrOriJqcTJkdXV1AQDi8Ti8/VpyzqCu64jFYigWiyXPqSfLshCPxwFUdyILtbixCSfEqcFvzx7R0fv0U8C3fgAc+g/g7+8XzwsYzpKvoSwRP3VCVBCzORH8XvS8qps75P47C2KfnuyolZfR2yuqfffdJ4LfcDyFR06Mozj3Zyuga6Li19/tO/R3R0+HHfrypoXjUzPY1tWO67f3MfjRimD4I1plNE1zBcB0Ol0S8DKZDEIhcQTS6dOnUSx3GGYNqcHPW5Uk8nX6fGmIA4AHHhCh8KGvuZd65R6/YrF0L58c8wJUXfGTZDgLzh3bBoil3i9+UbzV448Dp045we/oeALpgglDE0OZd/bG7K+le37bG5oT+tT3I1pJXPYlWoVkAPRbBpbLw7lcDhs3bsTU1BSGh4dx2WWX1e16GPxoUTavFwFQDWsHP+7MwgiF/V9noXQvn9rtW2XFT3b27ujpKOmyPXjQ+fjmm53nqme+yrNbj4xN4+h4AgOxiOtQEvUYN2m+4+GIlgPDH9Eqpe4FjMfjiMfjJQGwra0N69atq1vlT+7vk3v8GPyoKnJv3ub1pSHunrvFra4D//2DzvC7cBDIF8TJHXKci/p11JNAqqCOX5HLsIB7qC/gNHaoA59lqAPc8wBll288W0A04CyscX8fNRqGP6JVTlYB1QCoPhYIBDA6OrrgkS/z8e7v42gXqtrp82Jv3unzpad4ZNJAZyfwjvcC73inuH9yGujscAc8tUvY+3WqIAcsA3At9cquXkAs9QLAIyecyp2s9gGlA50B4NotvQDc3b6vuWw9Qx81FO75I2oC3n2A8hg6y7IwMDAATdMwLMfOL5FlWUin065l3mg0yuBH1etsd98CorviPe8B4nEg2gbc8HpgKu7s5VP39AHuLuEF7vEbjqfsPXhBXbOD2f79Ivjpuntw846eDkQDur1k6zR8uL/uQCxS0gxC1IhY+SNqEmoFMJPJ2AGwq6urJku/3iVeVvtoUcYmnCCXSDn3P/ig8/Get4nbcofdq13C3jOA5+E9bWNnb8w+dWF67rK6upzhzWeTYnizOvD52GTS1cCha8CNz9oAwKkGaoBreZiokTD8ETURNQDm83mEw2F76XexGPqopvwqdkNDQCAojmN7+StF1Q9wWmfVfX7yaxTmOn6XsNwrK3kHDwIXLoj75Cy/4XjKHsx8NpnBrrnXHBmbtoOf38kcshpoAa7ASNRIGP6ImowMgMlkEjMzM+juFn9pVrvvzzukmaGPasavYqdutOtbD/zvTwKpWZGe2qLA1ZeXfh2/LuEFUpd79+1zzlWVQ5zVfX5yOff4lHOaB+B/Moc83m0gxjmX1LgY/oiakKZp6OjowPT0NKanp7Fx40aMjY3NO/LFb0gzQx/VzMlRUbFTz+89cMDZaPeWt4uOXrmiOjPrfv1PnhL3dbQt6Ng2aTgulpmDuuaazaeetyr27M2gJxrCVDpnV/XkUrHfKSDqyJhd/d12lZCoUbHhg6hJRSIRtLe3I5fLwTCMivv+yjVxyP8Y/KguhoaARAKIdQIf+EPgd14nuoAldWLy2IQTBr2hsEryJI+AruGbD7Sjpwfo6RGXAbgHOE+lc/YJHOpSsXqah3RsMol0wXQ9j6iRMfwRNSkZ2EKhELLZrO9yrxr6MpkMIpEIZ/VRfYxNiFu55AuIql8iAbS1A697Q+lrtm9yPlb3Cna0Lfjth+MpFEzLPsVj/36xz+/CBWegs9/4Fy+1YsjOXlqtuOxL1KQikQguXrxof14sFl2NH5zTR8vKr0njTbcCX/gb4K1vF8u+ZlFU+4JBsZ9PbeZQ9/ktsMlD7fCNBnR884F2u7PXO9YFcPYDym7frnAA2aJZMqRZdv3qGjt7aXVh5Y+oSWmaZnf7yv17kvc4Ni7tUt1tXu+cxzs0BGzZAqxdA3ztUeBtvyueo2sijakBb2wC+OGT4uMXPW/BwQ+A63i1nzzUhdtuEyfIGQbw6U+LEzwefvo8ipbl2g8ou33j2YK9BOzH0LSKjxM1GoY/ohZRLBZhWRbP4aWV0b/OCW8HDgAjI8CnPyWC3uS0qAqalrhVl3hPnBH7AE+cWfRbq0Oa7z4QtvtL7rtPNHrIvYCmJfb0yapfOXK5t689jGhAdy0FE60GXPYlagGy8jc2NoZNm8Q+KgY/Whbq+buyavfs5wJjY+JWDXqSHOEyNuEMei438LkK27raS6pycpAzIMKh3O8nl25l1Q9AydgWOfJFNoUQrTYMf0QtQNM0bNiwAceOHcOpU6ewfft2Bj9aHnK8y8lREf4Ofhz49jfFQOefHZ0b86KJdVgLYpizDIlqMNQX/vtVHcGyravd7updu1YUHyU1HB4Zm8bR8QSiAR3pgomBWMTV2ettHCFajRj+iFrExMQE+vr6sGHDhpI9gER1MTYhgp/qnrtF8JNz/dTHwyHg8u3O55vXi9AIOB3CCyAbMo5NJl0neQwOyn1+otq3szfmavAAgHTBxE07NpR8TblEHA3o3ONHqxbDH1ELueSSS9DW1saqHy0PtXInw9sHbhcB8AO3A2+9FXj6tPMc74kd/esW1eDhZ2gISCZF1W/fPvf5vMenZrCtq73iUq+sInqHPxOtRmz4IGoRlmXBNM35n0hUC+pRbpdtFiHu1a8F9u8DrrgKuOY68bzLNouKn3wOADx1Anjsx+J2CXb2xhAN6Hji4W7cdpuo+sViouqXV/YQ+gU5dakXKN3nx6ofrWYMf0RNyrIsZLNZ++N8Pg8AXPKl5SHn+hnKUW7/8g2x5Puv/yI6eE+O+s/um5x23y6Q7MYFgOu39+FznxIdvoYhqn7q6Jcr+zrxzGwOXzl+zr7Pr+rHfX7UTBj+iJpUJiOWsMLhsP1xIBDgki8tj2DAfQsAr3q12Ov3W68Un5umCIHq8rA8CQRYVJMHUHrc2r59Yp/fffcBz3/tNNIFE4Ymgp93uRfwr/rJY+FY8aNmwPBH1KSsuSOnNE1zfUy0LLzn8B78OPDTHwN3fhTY/2fiPl13Bj9LahBUj3dbgr17gVOnxK0MekULdpBTK33eqh/gzAlk1Y+aBcMfUROyLAuJhDjOKhwO4+LFizBN0/d8X6KaG5twqna9c1W0e+4Gzp8DPvuXzvO6O0tP7ZAngah7ABdI3eu3ZQvsES/D8ZR9WWrI29XfjZt2bMBNOzaUVP0AERK5z4+aCcMfUROSy7ydnZ3IZrPI5/MIBoOus32J6ub0eTGUWR3d8oHbgfUbgHe/13nedKL0tepJIIskw9rdB8IYGQH27xf3H5+agWmJc3h39XfjyNg0vnL8XNnTPOTeweF4atHXQtSIGP6ImpQ81xcADMPAM888w2VfWh7qOb7Svj8AvvVd4Nrry79OnuOr7vtbgEphzdu0oc708+75k7x7B4maBcMfUZOxLMuu/EnPPPMMAGDr1q0rcUnUatTq3Uf+TFT8PvJnpd276uDmsQkx88/bALIAchzLJ+8tYssW4LrrRKPHgQOlTRuVZvoBIizml3CkHFEj4xoQUZNRu3zVcS99fX3c80fL7+5PAMmEuH3jHhEAdU00c6hLu/IkD6B02HMV1Mre1/66A6NnxP2nTonHjk26q34qv31+6jiYnb2xBV8PUSNj5Y+oCUUiEWiahmw2C8uy7G5fomWlLt9qGpBIiUaOl1xdfk9fwFjUfj/1xI6X/qYOwwB27xaPqVU/APNW/QCnw1eOgyFqJgx/RE3Eb8nXNE1cuHCBVT+qP++evb/4lLjt7ATefZtY0n36dOnJHfL5AWNRZ/h6HT4sDhc5fFh8ro5qeWLcaTIZiEV8q34AO3ypuTH8ETURGfwikYi95HvunDi5YNOm2sxMIyrr5KhzcsfYBPCFvxVLvp2dwAff7zxP3fsn9/p5TwNZIDneZWdvzB7q/M73Z10nfWzraodaA/cLfuzwpVbA8EfUJGTVT13ylXp6etDezgoG1dHYhAhw0unzwJ5bgb4NwJtuFffJmX+93e7nSYvY6yeplTo51PnqG+JIF0x7/95wPAXZ794VLt3yPhxP4eh4wvUaombE8EfUJNSqnxQIBDAxMQHDMDjmhepLDXFbNwIPfRm4/+9FAHz1jcCJM86ePzn7D6jJUGdpaAiuoc490ZDr9thkEhaAoK7h2i29Ja9XR7rwNA9qZgx/RE1EVv3UJV9N07B+/eIrKkRV8Ya4v/srYPy8CICAGPrsd47v6fPitUsMfgBw8CAwMiJuAWAqnbNvFzK6JcgzfKnJcdQLURNQl3wBuJo+enp60NbWtlKXRq2if50T4MYmgF+7ApicAJ57hWjk6O4UlT/vOb4yEC4i/A3HUzg+NYMdPR345gPtSCaBtWvlXr84eqIhTKVz6ImGcFRp9Cg3umVnb8z+ekTNjJU/oiZQackXAJd8aXmdPg/86AeAaQJHfiD2AnbFyp/ju8i9fnKo8/GpGezfD1y4IO6Xe/2m0jlcv70P4yln/6tfVW84nsLDT5/HsckkdvR0sOpHTY/hj2iV8zZ6WJaFVCqFJ598EgDQ29vrCoVENecd8eIX5tQhztISz/FVR7iovHv9VH5VPzkHMG9abPSglsDwR7TKeat+mUwGo6PiL9pnP/vZiEajrPxR/fgdy/b1rwAagFgn8M73+r9mCWf4Au4l321d7ThwwDnKTd3rBzhjYMoNbN7R04GgrtkngBA1O+75I1rF/Kp+s7OzeOaZZ7Bu3ToUi0WEw+GVvkxqZn6jWg4eBBIJMebldW8AdN09vHmJe/0A95KvHO+yd694bDjegeNTM+iJhvDIiXHs6OnA9dv7yn6tbV3tXOqllsLKH9Eq5lf1k0Od165di1AohGg0umLXRy3Ab1TLvn1Af78Y82JapcObO9vdt4tQbskXcGb+jaeySBdM1wgXImLlj2jV81b9xsfHsXHjRhiGgXA4zCVfqi+1y/epE+L0jpe+Arj/Bc5z1D2AYxPOCR+JxZ+i4Vet8y4FF+ZGuxSqHPFC1CpY+SNapbzn+KpVv/7+fqRSPJ6KlpEa6tTj23TNXfWrwYke8gi2j30y6xrqrC4FA7CPcisX/XiUG7Uqhj+iVcq75FssFjE+Po7BwUHMzs4CANasWbNi10ctQG3cUEOdrlSbt3vOlK7BiR4y5N17V8Ae6jwcT6FgWq6mjYFYxHWr4lFu1MoY/ohWIb9Gj1OnTgEAtm7dCgBob2+HrvOPONXRyVHRuHFy1B3qtm9yAmDcs99uieNdAGe/3/vuKGBwUGwxPDaZdJ3g8ciJcVzSFsJNOzZgV393ydfgUW7Uyvg3A9Eq5K36pVIpTExMYPPmzdA0jUu+tPz61wFHDwO7d4lRLzKIqUvAT50AHvuxuF0C2dBx54fCOHXK6fKVfjYhKno/m0j4vl7Fo9yoFTH8Ea0y5ap+lmVh27ZtiMfjKBQKiMX8j7Aiqgk5oy9gOGNc9u8Xh+v+0R85lb9epermtydwkYaG4NrvJ2f57eyNoTiXO4tlNvvJPX5BXSt71BtRM2P4I1plKlX9DMNALpdDNBrleb5UX6fPi2Pb5BiXoSFgei7UFU1R+QuHgMu3O6+RQbC3dBm2GmqDxsGDsPf7AU41cFtXu5079TKN7vJEjwCrftSiGP6IViFZ9SsWi/jRj35kV/0sy0Iul0MoFOKIF6ovucevsx34/uPAR/8UsCwx0Pld7y09s3dsQox2uWyzOxAugNrNu28f7P1+Xs9b14loQMfz1nWWPObXGELUajjnj2gVUZd8AWB4eBiapmHXrl0wDAOzs7PI5/Po6OBfalRncr7fD58UFcA9twL3/z2w523A624WTR2qGpzqETZ0pAsmwobuOtHDq9KJHbIxhHv9qJWx8ke0iqhLvsViEadPn8a6devQ3i7+EstmswgGg3Y4JKoLdcTL5vVi398Nrwf+8WFxqx7lJslK4RJm+8WzBQDAP34+hC1bgI99Muua08e5fUTVYfgjWiXUqp9pmjh06BA0TcOWLVvsxo9sNsslX6o/bxXvxVeJ5dyAIf7zs8QRL+osvq9/rgMjI8C9dwVcc/qOTSbnPc5NbQwhalUMf0SrgGVZiMfjAIBgMIhDhw4BAK644gq76pdOp5HL5WBZPMqK6syviidDXaEo5v5JapVwCeRsvyv7OvGR/QYGB4H33VGwz/cdjqdcc/78eI9/I2pV3PNHtArI5d6uri6cOCFmpF155ZVoa2uzq36JhJhpFg6HuexL9SNP85DB74dPOh8XiqXPPznqBMIlDHZW9/E5+/3CAPoAAA/95zn7ueWqemrDCMMftTKGP6JVQi73joyMYOPGjdB13Q55Mhx2dHQgGo1y2ZfqR13yLRadYGcoy71+e/5qzFvFU2f6lQt2O3o67NcQtTIu+xI1OLnXr1gs2su9AwMD9rgX+RwADH1UX2MTIvAFDKfa99CXgeuvAa57CfBPX3Wf2es3CHoJ1MHOahUPwLyz/bjkS+Rg+CNqcLKqd+6cWNZ62ctehnw+bz/uXfIlqhu5hAuIgLd1I3D/54FkAkgkgH/4O/fSrncQ9BLJA0T273f2AMoqXqXZfkBpWCRqZVz2JWpgsuoXDAZx+vRpDA4O2sHPu+Tb2dnJyh8tH7n37y2/C3z2PnHfB253P+6tEi6CWrHLZETFbjZjlVTxKs3242BnIjeGP6IG5q36bd26FblcznWubyaTsSt+6gBooprbutFp9pB7/258A/D6N4r7/Kp+4dCSqn5yKPMnPlVAOi3uCwatBTVuyOPcogGdS75E4LIvUcNTq366rtuBEBBhz7Ise8YfAIY/qh91Vp8c97J1oxMG1XEuSxzqLBXn9rN+6bPtsCyxgvyH/yOPaEBHTzRU1VBn7xIxUatj+CNqUJZlYXZ2Fj/60Y8AiKqfesKHpGkaNE2zR7xw6ZeWhQyCAPD0aacDWIonxX3x8gOX5zMcT0GO7rvpXSkMDgL33Qfc+aEwrt/eh/FUdt6hzoBYEr5+ex+rfkRzuOxL1KAymYy93HvNNdfYVT/vki/Aah8tM7nfr7MdmJx27lerfPJ+9fEFUpszXr0njaGPrFn01yIiByt/RA1IVv3Gx8cxODgIwzBKgp78nB2+VHfeUzrkfr/PfQ5442vEuBfviBc5c6W3e9Fvu6OnA0FdQ1DXsLM3VnJ273xHtfGsXyJ/DH9EDSiVSuGJJ54AIJZ7JW/Vz68KSFRzJ0dF2JPHtsn9fPf/PTB+Xox78TZ7mJZ4zuXbF/2227ra8ZrL1uM1l63Htq5217iWaub2cbwLkT+GP6IGdPbsWViWhWuuuQaGYZSEO7Xql8lk2OxB9WWazq16vNtv/Aag68BvvMj9/Bo1e3iFDd2+PTaZnHe/X0805LolIoHhj6iBFItFPP300xgbG8PGjRthzB2ZpS75qlU/GfrY7EF1pevOrVzyPTkK/OCHIhD++D/cz1e7gpdInurxsU9mEc8WAMC+nc9UOue6JSKB4Y+ogQwPD+PMmTNYt24dLr30UgAoWeL17v0Lh8N2CCSqi60bRSWvu9MZ3AwAe24F+tYDt7y1bm998KA41ePeu5z+xK6w+FjuBSyHI16I/LHbl6hBFItFnD59Gn19fdi5c6ddxStX9VMfk48T1UX/OvHf9x8Xg5sDBvDdfxN7/va8TQx6rpPdu4GzZ4EX/oZpB7lqhzZXOvWDqJWx8kfUIE6ePAkA2LJlS8nyrV/VT933xyVfqouxCRH4vv+4e4AzAAx9WjR7fPHzojIon692BS+S2qX70EOi2PitR4L2rL759vKxy5eoMoY/ogZQLBYxMjKCvr4+e5+fl3f5FwBDH9WXPKKtUBQfq8u///W/AX0bxHm+cm+ftyt4kWQzxyc+VcDsrLhPHu0GzL+Xj12+RJUx/BGtsGKxiEOHDgEANmzY4Fq+Vbt8/QY6c8QL1dXm9WKJN2A4Z/e+6HlAIgX8zuuAf/w6cM114rljEyIk1tCXPuvs1bvlFuf++fbyscuXqDKGP6IVJpd7X/jCF6Ktrc1VyfOOdPFW+jjiherOMETFT+3c9YZCwH20m1wGXqS+djG4/O3vy2BwEPjMZ4D773cen++4Nnb5ElXG8Ee0guRyrzzFw4860sUv5HHpl+pGjnVRg52c87d1I/Diq5xQKGf7qSd9LJIMbS/7rzP49tEUBl8h9u9Vu5ePXb5ElTH8Ea0gtcmj3PKt314/LvdS3T11QgQ/XRNn+MpGjtPngQe/CDz/CuDgx53n12i233A8hYJpIahr2NHT4Rrm/LOJBNIFEz+bSFT8GvNVBolaHcMf0QpRq375fB6A/34+v6pfJpOBZVmwLGt5L5pax+S0uDUtYDohguCJM6L1Vh7rds/dNX9bOcYlMHc2cN4Uv8cLpoXi3G/3In/bEy0Jwx/RCpFVP3l2r3f5Vg14fku7mqZB0zTu96P6mAtf0DXleDdLNHW8+W3A+rlOX6BmI14A95Kt2q2r5j2duxyIloRDnolWgFr103XdNbhZpY508cP9flQ32zc5Z/ieHAVMpZP3Na8HPjQ34mVsAnj6tLj/9PklL/t6BzM/OZGAaQGG5lT8OkP8q4toKVj5I1oBatXPb4QLIJZ9s9ksAx4tP7m3T453kfP9eruBh74MvPE1wF98SjxXbQaRnb81sq2rHTc+awNu2rEBGzqcPx/lzvblcGei6jD8ES0zvw5fb8CzLAuJRMJ+zEsGQ6K6ULt81SDYFQPu/7xzsgdQ0y5faWgI2LJF3Erq2JaBmH8lnMOdiarD8Ee0jNSBzlu3bi3btZtOp5HL5dDZ2VlS9ZsvGBItydiEaOoIGKLL9+nTThA8OQrsuVWc7LF/v3h+jbp8Aadyt+/DFkZGnLcAnL2AV/Z1Yld/t+9r1S5hIiqPGyeIlpFc7r3mmmtgGAbSc2dWebt8E4kEQqEQotFoydeQwfCSSy7hcjDVnjzSLRwSJ3lIm9cDd98jOn3f8nZg796av7Ws3JmmBcD9e9u7F9Dr2GQS+bnwxxEvRJWx8ke0zLwDnf26fAH4Vv0AcapHuWBItGRyGXfz+tIl3Qe+IJZ8H/iCeO5TJ4DHfixua0BW96757SIMA7juOu7jI6oHhj+iZSL3+lViWZZdDaxU1QuHw6z6Ue15Gz2keFKMcnnBr4vj3l7yEnG/nAUob5dgOJ7C8akZ7OjpwE+PGCgWge98z6x6H9/O3hiiAR07e2NLvhaiZsdlX6Jl4p3r5yeTySCXyyEUCnE/Hy2/k6NiyffkqAh/svFjcq7Z4gc/FPsBDx8Wn/d2i+DXW7oHb6Hksu0nPlXAxQTQscbEa9+ZRE80hLPJDHqioYqvn29ZmIgcrPwRLSN1ydfb7CE/D4fDiEajvpU90zSRTCaX7XqpxdjDnE338W7yt+KbbwUGB4F9+0SVMJESS8KXb6/ZJXzpsx2Yuagj2m7ilbfM4mxS/BkZTfI4Q6JaYfgjWgZ+S77e+X7y83A4XPbrXLx4EQCwZs2aelwmtTpdd27V493kP0RueANw6pRo9lDHwdSAXLZ9/x0FrB8o4nXvSrlaPniiG1HtcNmXaBmUW/KVzR6y6lfNUm8sFoOu899tVAdbNzp7/k6cEcFP10QYNItOOATEc+Rza0Au217/IeDqG8aRLpjQNQ3FufOrowH+nieqFYY/omXi7fJVqVVAv7l/gDPYuVJlkGhJ+tc5R7bpulgb6u4EnomLxyNzv/fKNYYsktrsAcCe19fXHraXfXNFc8nvQ0QC/ylFtMLUql+lDt5qloWJakLO+gPE8u9c9Q0zs87jNVzyVTt6j0/NIG9aCOia61SPos+6L8fAEC0Owx9Rnc034kWt+pU78UPiiBeqi7EJMcplbEJ8Luf7ecmuXnUWYA3I+X47ejpKPtbnfrv7HenG49yIFofLvkR15rffT+3szWazdtXP78QPorrzVvLUvXynzwOHHgWGPi26fLtidVvylaNa1JEtlca37OjpcC0XE1F1WPkjWgbe/X7e6p4a9vyWf+erCBItSWe7c6sGwXhSfPwXnwRGRoCDB+u65Ds0BGzZAgwNVffabV3tuH57H+f7ES0Qwx/RCvFW/SrJZDKwLAuWxYEXVAfyDN9Eyr2kK8e97LxCNIBc9Xwx5Dlg1GXJ9+BBkTE/9j9N7uUjqiOGP6I6Krffz7IsJBIJAPMv8cqqn6Zp0DSNS8JUW2MTTqCTlb/N60XVT/rxD8Tg529/y2kEqcGSL+Cu3r3z/Vms6y/iNe9IIl0wcWyy/EBzNnsQLR7DH1EdlZvvl81mAQBdXV1VVf0AUSmspkpItCCys9cwgOmEWNI9Oeo+rzcwtz28joXnoSHg3rsCuPFdM3jFLbPzPp/NHkSLx/BHVGfe/X7qvL5qgxxDH9WFWvXbvN59vJuu/H77g33iWLcP3ymWhLdurMnbq9W7j/1PExNjBr76Vx3oCouw2ddefqyRulxMRAvDbl+iZcZ5fdQwZNUvHBLLuCdHnZM8ujud6t811wH7/qDmb69W77ZfoePcWATPeX4OqbxYWh5PZcu+Vp4IQkQLx8of0TJSR7xUU8ljly/VldrlC4iKXjjkDn5AzZo7vNTq3S9+GoJZ1PCLnwaRN8X6cpENTkR1wfBHtIwWWvVTB0AT1Zza5QuI6t+Lnud8DgAPfRl44dXAH97pDIGuEbXZ4/13FLCuv4g3vNt5b6PMP5DY7EG0NAx/RMuk2mPcvGTwYwWQasq73897v6aJ4PepjwNnzwJf+BvgxJm6Xc6dHwpjfNTA778/AGPuj0e5PX9s9iBaGoY/ojrxjnlZaBVPXfJlBZBqTu3yBZzj3eT9lgX8v38QQVDXgT1vA8z6LMOqlbxtXe0IGeKvJvVsXxWbPYiWhuGPqE7UMS+Lqfp5Ax87fqmmyp3qoVYB33Sr6PK986PADa93zvatsU/eW8StL+3BJ+8tYjieQsG0ENS1suGOJ3sQLQ3DH1EdyTEvi63cMfBR3aj7/WQQDAZEAOztFo0fH3w/cPgIcP0NwGWbgcu31+StvXv2vvbXHZgcC+Brfy3O6s2bFgK6xnBHVCcMf0TLhEGOGop6jJsMgjOzogI4Oe1UAJ8+XdOzfAH3nr3heAo3/t4MNm4ysfeD+XmrfkS0dAx/RHVW7bgW9Xkc8UJ1Jzt7+9c5QVD9t8np88BffAp442tE40cNx72oe/Y+eW8RDw614cbfm8HVN8QrVv3Y5UtUGwx/RHVW7ZKv+jw2eFDdjE0A339c/Dc24TR5bF7vNH8A4vP/+3fA+HngH79Qs7N8vdQl3/kaOdjlS1QbDH9EdbTQRg/1eVwmprqQ3byFovhYbfaIzI1W6WgDfv+DwLlzQDgC/LffreklqCHuzg/rGBwE9n4wj+NTM9jR01F2r19PNOS6JaLFYfgjqqNiURxTVW0FL5PJwDRN15Ivl4CppjavF7P9AoZo9FBn/c3MiufMzAIPPCDGveSyovGjRrzdvHv3AqdOAVe8Zhrpgoljk8myr5XHvVU69o2I5sfwR1QnlmWhUCgsqOoHABcvXnR9ziVgqpmxCXF+LyCOckuknFl//etExQ8Qt6G5KmAoXNMlX7WbF0DJHr68afnu6RuOp+xj34hoaRj+iOpkoVU/TdPKzvTjEjDVhHfJVx3x8sMngcxcRS2TBf77B4G+9cDtf1jTS1D39anLvzt7Y/Zz/Pb0qfepzyWihQus9AUQNbNAIMDQRo1j83qn8rd5vTO+RS73BgzR9VssAq99PfBf3yQ6gmtoW1e7a0+f3OcHAMG5aqBfw4cMi5X2BBJRdVj5I6oDueS7mNdls9zPRHXSvw548VXiP8DZ7yeXe7s7RSj82peAN74WOPRoXS/nmw+04z2/1Yf7/zaAo+OJimNeeKoHUe0w/BHVgdynZ6ijM6oggx/391HNjU045/cC7rN95XLvdELc/3/+Fhg/Bwx9uq6XdPAgMDIC3HuXswjFTl6i+mP4I6qTxS75hsNhLhVT7akjXQD32b6SaYpq4FveDgwMAPv21fQSvEOa9+0TRwe/7w6nSj6VztX0PYmoFPf8ETUwdU4g0ZLIPX7ypA55pNt0QoQ+QIx2+fKDwP2fBz76P4C9e2t6Cccmk8ibFn42kcDxqRm88pYOvPIWse+vJxrBVDrHY92IlgErf0Q1Vsu5fBzzQjXx1AlxRm9nuzO2RR7pBgByhIoF4P6/F0u+Bw/W7XKKFuwuX9nxO5XOcU8f0TJh+COqsWr3+2UyGViWM7esXLMHx7zQkk1Ou28B50xfANA10fiha8CetwF9G2q+5AuIES3RgI6BWMQe97KjpwNBXUOhwnw/nudLVFtc9iWqg/kCmzy/N5PJIBqNAnBCYzgcXpZrpBYxNiFCnWkBvd3uQc+AaPoAgO0bxe3NbwJ+//a6nOUrx7wMx1P23r5tXe2ueX/eyl+lx4hocVj5I1oB6kBnFZs9qOZOnxfBLxwCLt/uHvQs9/oBYln4C58Hbnkt8PWv1PWS1EAHuAc/e/E8X6LaY/gjqiGew0sNx9vVK291n39k3HO3mL1Sh/1+cvn2yNg0Hv6/Eey9dh0e+38dePjp8zg2mfQd3jwcT+FsUvx5OjfDP1dEtcLwR1RDbNCghjOdcG7HJpx9f7ruNHrIHPj8F4i5f7t31/wyZLXvbDKDL322HZNjBv7u3gjypoW8ac17pFuRx/oS1QzDH1GNLaZBw69iyCoi1Zyc8eclf79+7zEx5+/R2p/sIZd2B2IR3Lx3Fhs3mXjfHQUEdQ1BXSt7pJssUA7E+A8qolphwwdRjSxmJp98vl+zB6uIVBNbN7rn+8mP40mnCmhac92+9asHqGf67vpj4L4/BoAwgPVVvYaIaoeVP6IaWWhYk89TX+etGHLMCy2JOt8PcIJf/zpnOVgyDODP/1wcuXHgwPJfKxEtG1b+iGpoIWGtXMcvUc2o8/0SKed4N78xLpvXAy/aW/NTPVTD8RSOT83gJw914XOfCuOd78/i6hvivs0eRFQ/rPwRETUjOd8PEPP95Ikem9eLx9QxL73ddZnrB7iHNB+bTCJdMPGpuwyMjACfuivgGvlCRMuD4Y+oAbHZg5bMO9+vfx3woueJx54+7XT6As45v3XgnekHAK97Vwq9/QW84d0zZef7EVH9cNmXaIVlMhnXcGf12DcuC9OijE2Irt2AISp9T50QS7+93f5Bb3P5poul6omGcDaZQU80hEvaQvjkvUV8/XPtuHlvCh96XwDbuvrq9t5E5I+VP6IVJMOdPNNX/ZzNHrRo8hQPwxAVP3XvX6dnb13AECd6bNkCDA3V/FLkMW5T6Ry2dbXjn/6mE+fPGvinv+ksu8+P5/kS1RfDH1EdjYyMoFgsln3c2/TBJhBasqdOiMYOXXP298m9fx1tThCUtm4UJ3rU4WSP4XgKBdNCUNfQEw3hkRPjeOf7s9i4ycTvvCNRNtzJvYHHJpM1vR4iEhj+iOpk69atAICTJ0+u8JVQS1Fn9/Wvc+/9yxfcz5WNHrt31+Vkj+NTM8ibFgK6hql0DumCiatviOMz35rAtTenGO6IVgjDH1GdGIaBwcHBeat/RHWlnunr3dsn9/8dPiz2CB4+XNO3lqd67OjpsD/uiYaQNyuf1bazN4ZoQMfO3lhNr4eIBIY/ojpaTPXPsix7DyDRkslhzlNx4MQZ92MyDO7bJ4Y779tX07fe1tWO67f32Sd1XL+9z94DCIDhjmiFMPwR1ZGs/s0nm83aHb7e5g+iqnln+6lMyz3eJTDXDDI0JPb67dtX0wHP5Zo2ZAXwyr7yDR9+42GIqHYY/oiWQaWlX2/HLwDX6Beiqnln+41NiPt1DVB/O+maaPQA6tbsUS7Abetqx46eDhyfmvFt+FCbRDj/j6g+GP6I6kwu/R46dMg3AGqahnA4vNyXRc3GO9sPAE6OipEvpgXIol/AAF5ytXOiR52WfNU9frICODQkJsp88t5i2cqe2iTCI9+I6oPhj6jODMPANddcA6Dy3j/v0q/8mKgqJ87MBT2z+qPa6rTkCwDPzIru3rGZjB309u8XRcbP39VRtrKnNokQUX0w/BEtg/k6f2XlL51O26GPx7tR1cYmnP188lZd8lXJ5V6gbku+AHA2mXFdTk80hIJ9nnD5yp7aJEJE9cHwR7RMKnX+yqXfbDYLTdPQ2dm53JdHq9nJUedj2eghT/lQmzw0uKuCdVryBYCBmNjLKrPnVDqHWz6YRG9/AXtun2Flj2gF8WxfohrKZDJlj2WrtvOXXb60IGMTIuQBYj+fbPSQ+/8KSqV5mXYSDMdTmErnMBCLYDyVhaGJ5dx3/F4O190yiYFYhJU9ohXEyh9RjcjQNt9yLYc+U02dPu98vHWjCH5Pn3bO9lV5x7/UudP3bDLjat7Y1d+Nm3ZswK7+bt/X8UxfouXB8EdUI9Wcyzvf0Gc2etCCBecWcDraxJKuugTsPdHj8u3Ox0NDQDIJrF1bt07fgVhkQc0bnO9HtDy47Eu0jCot/co9f9lslku/VJ2xCWBmVnwsb2VTha4Bp885z+1oc7/24EHgwgWx56/Gnb5ySff4lNjbt62rHcPxFH42kUDREvsB/ap/cv4f9wMS1Rcrf0QrgEu/VBPqkq9c0rWUrt9s3nk84zkycPdusSy8e3ddLs1bxfvkvUX83st78egDbXYnsGo4nnKFRSKqH4Y/omVWbulXnvDBgc9UNXXJVzZ6VLtr4PBh0RRy+HBdLs07r+9rf92BybEAvvpX7XYnsOrYZBLpgoljk8m6XA8RORj+iJZZNUu/lmUhk8lw/x+V99SJ0iVftRKoUo9zk+o45gUondd354d1DA4Cf/rHgbINH0S0PLjnj6jGKo17mY8Mf+rXikajtbw8ahaT087Hvd3OeBdNc5Z+JdMqPfVj796a7/VTl26fmc3hbDJj7++b7+129sa4349ombDyR1RD1Y57Afz3/cmO4Wo6h6mFydM7pMu3O8e7+VWLvSNe5CG7Q0M1vSx16Vbu65O3841x4ckeRMuH4Y+ohqoNbd59f5ZluSp+RBV5Gz3U4928wqHSES+33Vbz+X7D8RTyc9dQtCz7ZI+ucACPnBi3g6HfGBfO9yNaXgx/RCvAu+9PBj+1csj9flRW51x1rLdbBDt1tp8qYJTO+jt4UCwPG0ZN9/upoc7QNJgWEA3oyBZNpAti/Ey5mX+c70e0vBj+iOqg2vCmLv2Gw2FX5ZCVQCprOuHcqse7eRlG6V4/OeLl5ptruudPdvde2deJnb0xO+j1REMAgL72sO+y7nA8hYJpIahr3O9HtEzY8EFUY5FIBJlMZt5mja1bt2JkZAQnT55ET0+Pfb8MgNXsG6QW9NQJd9g7cab8c71Vv6Eh4MEH6zLiZVtXuyvYqYOeAWAqnfN93fGpGeRNC9GAzv1+RMuElT+iGqt235/f0q9aLcxms0in01z+JTe1y3frxvJ7/YDSql+dlnzLqaaq550HSET1x/BHtMIsy7IDnqz2RSIRhEIh5HI5VgDJTStzWw052++++2o+5sXP8akZ/NP9Ubzjmktw/9/6LzSxy5do+TH8EdVJtfv+Tp8+Dcuy0NnZad+naRqi0ShP+yA39QQPwxBLvuV+i3nP8gVE4Dt1qi7z/fy6dXf0dOCrf9WOybEA7r2Lu4yIGgXDH1EdVDvvT458mZyc9B0K7V0KphandvVGwpXHu1x9ufu+Os32G46ncHQ8Yc/3U0Pgtq52XLWrCN2wcOWugu9rOeKFaPkx/BHVgdq0USm8GYaBjRs3+j7Grl8qYYqRKdA150g3P95GD0Ds96vxbD8AJeNZ5MgWGewePxKAWdRw9Ehp5Y8jXohWBsMfUZ0s5LQPP5qmcdmXHJUGOat0rbTRA6jbWb7qiJe+dvH7tScasoPd6941g97+It53R2nlj80eRCuDmzCI6mQxR7Qt5VxganLlBjl76T7/pt+zR4x4qfFsP8AZ8TIcT9lHuU2lc9jR04Gj4wlcd8ssbnxzBtdv7yv7WiJaXqz8EdVZNY0fo6OjCAaD9vNVyWQSplzuo9Ylfw9oqFwB3OqzjUDO9nvwwZpekrpnT1263dHTgWdmc3j0gTbsvbYXP3moq6bvS0RLw/BHVEfVLP0ODAwAAE6dOlVSKVyzZg0A4OLFi3W6QloV1CXfSv+OuGxz6ZLv0BAQDouK4M031/Sy5Hm9xyaTruXfbV3tOJvM2J2+n/uUe/sCGz2IVhbDH1EdVdP4UanpQ9d1xGKxel4irQbVLvn67fXbvx+YnQW6uoD776/pZam88/p0DXjdu1Lo7S+UbDNkowfRymL4I6qzStU/y7I4xJnmV82yf2+3//3y91eNf5/Jql1Q17CzN1bymKFp+J09afzwWLZkmyEbPYhWFsMfUZ1Vqv7J4GcYhus+7/M476/FVfP//vLt/vfLrQQLbD6ajzyTN6BrJU0b8rF8Nd3JRLTsGP6IlkGl6p/a3ev3vHA4jFwuh3Q6vQxXSg1HPdWjnHJVPwA4cECMeDlwoKaXJat3PdEQHn76PB5++rxdDVQrescmk67XqUOhuexLtDIY/oiWQTV7/0ZGRmCaZknTRzQaRSgU4rDnVjXffr9wsHzVb88e4LbbgN27azriRXb37ujpwFQ6Z1f5ZJjb1tWOf/tH0en7yBejrtd6u4KJaPkx/BEtk0rVP3nM28mTJ+3nyJAohz1z6bdFFYvlH9M14EVX+D82NAR88Yt1GfGiNmzs6OlAUNcQ1DU7zA3HU/jSZzswORbA1z/n3g/o7QomouXHIc9Ey0St/nkHORuGgcHBQQCwn5PJZBCNiqqJDH/qfdQiKuV9v4HOknqMWw1HvAzHUyiYlh32/AY1H5+aweveVcDX/qoDd37YcD3Gwc5EK4+VP6JlVM3cP7+TQXjUW4sam6j8uN9AZ0BU/ZJJYO1a4DOfqdmIlyNj0zg6nijb6CHt6OnAjW/O4AfHMrU+UISIaoCVP6Jl5K3+LUQ2m2UAbDW/OlP+sd5ue67fkbFp+2i1F9zxXmz6xtegAaLRo4bpS74HIAKeuvdPHvEmP/c7zk1e50Asgl39FZpUiKiuWPkjWmbVVP/KvSaRSHDfXysp9/9a14DLt2M4nsJXj59zhTIZ/CwAT779PTU9RWMgFrFvt3W1u074AFDyuZe8TvV6iWj5MfwRLbNqOn+B0qaPzs5O+35qcds34ZET4zg6nnBtCdz6wBdcT/vVG9+Ko+MJfOX4OXz71OSi3+7bpybxlePnMJMr4KYdG3yrdsPxlGuu3549QCAgbiU1PBLRymH4I1oBkUgElmUhkUi47h8ZGUGxWPStDnLfHwEAAjqOIIh0wX3qx+Vf+gdc9Wf77arf9HPdXcDxbAEP/ee5BVUCh+MpPPz0ecSzBftrqI8Bzgkf6giXnb0xPPigu9F4OJ7CVDqHK/s6ueRLtMIY/ohWgKZp0DQNuVzODnTquBe/pg8iABjeuaNk2fSqr34Rz/7j/0+kLU2D9pnPYO3PjpZU2IoW7ErgfEFQbe6QusLONnHvCR/qyBdANBgbhtNozPN8iRoHGz6IVogc35LNZhGNRl3jXiTvWBg56887KoZaRG83nhh3qsUagC0PfAFb/uSP7P2BJoBv/NaN2BlPYVd/N3bB3RAiySB4dDwBQwN+bZ3YVnBsMomiZcF7Mpt3Lt+Ong67uQOAvQcwb1o4NpnE/fe3u5qMvc8nopXD8Ee0QuQyrt/cP6B03l8kEkE6nUYul+O8v1akazjStRaWEuJe9obr0f3zJyB/51gAzv6XG5A3LRwdT+CJuT2BA7EIbtqxAcPxFJ6cSJQEOxkEy/EGP2+Xr7xPVgkf+WIU7/tbYN8+p9mY8/2IGgfDH9EKqjS82bv0q2kaotEoK36tJKADBRMI6DBf+RL8+uwsft3zFDX4Hf3oQZy85a32YzLjnU1mMHr8HK7o68SNz9oAwL8aqNI1wNDEfj6/Ic5yCVc+pi7nfv1zMYyeEXOmOeePqPEw/BGtoGrm/nHpt3Wt/c1BTGPt3GfuvXJvwv24H2+2A96ZV9+Ik7e8FboGu7Inmz8wdyure9u62u0lYcAJgtGAjnTBrDiHz3vCh/e+nb0x3PlhHQcPisofZ/sRNR6GP6IVJsNfPB6HZVk4ffo0tm7dCsMwuPTb4kTw8w/4X8QevATfxVv7/wmPfvs/7PtNy71M++1Tk64uXbnPTw1jahCsZDiesgNkNKDbg5299+3d61T8vnLcme1XzXsQUf2x25dohWmahq6uLgDAhg1iSe7kyZP2Y35Lvxz50hq6cQGiZuf9DwA03B75S1fwk46OJ/Dw0+cBANdu6cWVfZ12F650NpnBw0+fX9DoF3V4s6z6qcu93maO4XgK8m0524+ocbDyR7SC1CVdWeXbvHnzSl8WNYjP/TIH4Lzrvrvv6ML3vhEBoCGb0fDua3vx2W+XDnDOmxaG4ym70UJW6dSGD9kYAmBBzRhB5VxftYvXb2+gaYmKIJd8iRoHK39EK8Q7yFl+XiwWS57rPQ0km80inU7zqLcWMxCL4MP3JPCbr85AVAA1PDNm4O47uhAN6CXVPTnT78jYNAAR8G581gZc2dfpel6549i8dvbGEA3o2Nkbc91fmBvvolYR/fYGElFjYPgjWiF+S7qRSASFQsEV6vxCYigUsvf9UfNSw5ysnl2/vQ/f/aco+jaakAHw+/8cQbpgugYyq84mM65gtq2r3RUA86ZVcQl4OJ7CIyfGAQDXb+9zVfjksOe8abmWgL1DoImocXDZl6iB+FX/OPKldb3msvVlHzt/1kB7OzA7K+Y7P/pAG667Zbbs85+cSLhCmPxYLvvK4cx+Qe1nEwkULXGrPn5kbBrpggkNQMBT4QsbonM4bLDGQNRo+KeSqIFomoZAIFBS/QNKl36J7roLEP8G0HD/3ZWXVk0L9vKv5K0AFi0Lj5wYtyuA8mzfoiUfd39NOSfQggiq6sBnv/OAiagxMPwRNRjDMDAxMYFUylmC8y79As68P2pde/cCctpPIT//j3Pv8i/gBMBoQIdlAemCiScnRDVQLt1KasdupU5edfmXXb5EjYfhj6jBbNu2DZZl4dSpU3a48y79yo8TiQQDYIuTvy1yGQ1PfWOt67GucOnOHjkGxrsH8PrtffYQGdMCvnL8HNIFEwBgaGJ2oNqxKzt5/ezo6UA0oJe8hogaA8MfUYMxDMMe91KuoUPTNHR2dlZ8DrWGAwfE0q9pAh/5gzC++yVn+TeeLfiOiJYjXrwhsFyVLmToJXsB1f19cvn3yNg0vnL8HJ6ZzZU0hhBR42D4I2pAcu+fd5+f+rmmaRz2TNi7F+ieK66ZJvCFT8Zc+/gq1YVlCPzK8XP4yvFzGE9lfZ/nbdoYjqdwbDJpB8uBWATD8ZQdAiudGUxEK4/hj6hBjY6OwjTNkjmA3PdHXrL6BwCZTGkjh2RoIqh55wFK5UbFxLMFV5VQ7gW04IygOT41g0cfaMPea3tx5Kul701EjYPhj6gBbd26FQAwOTlpV/vK7fvLZv2rNdQ61Oqf/C2yrau9ZBm3aDlVuYFYBN4MKENhVziAm3ZscL0+b1p4ciJhD282NPH8nmgIDz99Htmiia/+VQcmxwJ4YIjLvUSNjHP+iFaYesSbZBgGBgcH7apePB63z/9Vnx8Oh5FMJrFmzRroOv8t18oOHAD27xcfDw2JQLirvxtnj58reW7etDCeyuLGZ22o+DV39XfjknjKngVoWs5cQECMhlGXeC+/OofvjUexe3cNviEiqhv+bUG0gvyWclWaptmhLx6P23v85PPXrFkDALh48WKdr5Qa3d69QCwGXLgAHDzo3F+uiUOe/Tsfvwqin3/7xzZ8758jKBaBw4ervmwiWgEMf0QryLuU6zUyMgLTNO0AmM1mXc/XdR2xWKzMq6nV7NsHtLUBZ84Ae/aI+3b1d9vhTe75k46OJ0oGP/vZ1d+Nm3aUrxIOxCL4579dg2JRg2GI6yCixsXwR9Sg5L6/kydP2iFR7v/jaR/kZ+9eIJ0WXb8PPODcv6u/G9GAbu/5U/f6+Q1+9pJn+6pbBK/s68RNOzbgph0bsKu/G/v2AYODwH33iesgosbF8EfUoOS+P8lbIVSXipPJJEzTXLZro8YVCLhvJXUun7ep9+h4omIA/NlEAumCaY+NCepayQy/vXuBU6cY/IhWA4Y/ogY3MjKCYrFoV/+y2axrvh/3/ZEqGHTfSuXGv0h+S8ByaLN6pm80oGNnL7caEK1m7PYlagB+Hb+AWPodGRnByZMncemll9pLv+reP+77I1UkAszOOiNfVLJad2wy6TvT72wy49sdrLp+e19NrpOIVg4rf0QrrFLHr3fpV63+pdNp174/DnwmQIx8WTt3xO/QUOnj27ra8ZrL1lfVwevld1YwEa0+DH9EK2y+jl/AWfoFRFgMhULI5XJ2YPSOgKHWVW7ki5faBVyNK/s6ce2W3hpcIRGtNIY/ogandv0CIixGo1EA4Dm/5GvfPlH9Syb9q3/Srv5uXNnXWXLSh9dALFLS4EFEqxfDH1GDKDe+xbv0C5Q/2o0jYAiovvoHiGXgG58lRraoy7pBXbPHuezq767zFRPRcmL4I2oA8530AbiXftWj3eSIF8uy7BmARNVW/1TXbum1Z/e95rL1rPYRNSmGP6IGMN++P+/SL+Ae8SI7hb3dwtS65Ly9CxecM3+JiACGP6JVwW/pVx3xooZHLv3SchsaArZsqb7CSEQri+GPqIHMF9zUpV9JHfHCrl9SHTggjlw7cKB+7zE0BNx2GzAyMv/+QiJqDAx/RA1ivn1/cun30KFDdgAMh8PI5XKYnp6GZVklZwBTa9u7V+z9O3iwflW5gweBYhEwDPFeRNT4GP6IGsR8wc0wDFxzzTUAnL1/0WgUHR0dyOVydudvNc0j1Dr27xdVuXrt+9u3T1QX77uP5/oSrRYMf0QNZL7gJvf+qef9RqNRhMNhe/m3mqHRRLWydy9w6hSDH9FqwvBH1ECqCW5+nb9yr586949LvwQA110nlmSvu26lr4SIGgXDH1EDqhTc/Dp/vSd8cOmXpMOHxZ68w4dX+kqIqFEw/BE1mGqDm1/nrxz6zKVfkhYz7JmImhvDH1GDWczSbyaTQWdnJwAx9Fni0i9x2DMReTH8Ea1CauNHMBgEAORyOXvoM8ClXyIi8sfwR9Sg5qvayerfqVOnXJVCdv2SV72GPfNkD6LVieGPqAFVU7Xzjn0BeMIH+avXsOeDB3myB9FqxPBH1ICqrdrJ6t+PfvQje+5fOBx2VQ2574+A+gS13bvFGJndu2v3NYmo/hj+iFYx9dSPs2fPAnBX/7jvjyR5Ekctj2DjGBmi1Ynhj6iBVVO1MwwDGzduxNjYGAqFgqtqyH1/JNXjJI56BEoiqj+GP6IGtZCq3aWXXgoAOHLkiL3/j0u/5FXrBg0e7Ua0OjH8ETWohVTtAoEAdu3aBUAs/8rXxeNxNoGQTe77u+22pQdAdvoSrV4Mf0QNrtqqnWEYuOSSSzA2NoZisYiuri4AYvQLl34JEMuzhiH26S218YOdvkSrF8MfUQNbyNJvJBLBxo0bAQC/+tWvSiqHXPqlvXuBm28GNA2YnFxa1Y77/YhWL4Y/oga2kKVfTdPQ3t6OdevWYXR01LX3j0u/JB0+DFgWMDu7tKod9/sRrV4Mf0SrwEKqdmvXrgUAHDp0yD76jUu/JO3bB6xdK/5j1Y6oNTH8ETW4hS796rqO5zznOQCco9+45EvS3r3A1JT4b7FVOzZ7EK1uDH9EDW6hS7+dnZ0oFAro7+/HyMiIq/rHEEjSUgIcmz2IVjeGP6JVotrgFo1GEQqF0NvbCwB47LHHEAwGYVkWLMvivj8CsLQAx2YPotWN4Y9oFVjI0q8833d2dhYvfelLAQDnzp2DpmnQNK2u10mrx1LO5WWzB9HqxvBHtArIpd9qq39r1qwBAExNTWHz5s04ffq0vfzLpV8CnHN5H3xwYUu/3O9HtPox/BGtEuqpHfOFN13XcckllyCXy2H9+vUAxMkfXPolaTEDn4eGxOkg3O9HtLox/BGtEpqm2ad2VBMA5d6/6elpbNq0CaOjo7Asi0u/BMAZ+LyQpd+DB0VYNAzu9yNazRj+iFaRhQRATdOwbt06AM7sv6NHjyKdTiOdTnPpl+yl38OHq3u+3Cd4883c70e0mjH8Ea0y3gBYKczpuo5YLIbZ2VlcccUVAIBf/vKXSCaTSKfTy3nZ1IDkwOdksro9fAsNi0TUmBj+iFYhGQDVLmAZBL0hcM2aNXYAvPTSS2FZFk6cOFHV0jE1t717gVgMuHBB7OWbLwByxAtRc2D4I1qlNE1DNBpFNBq1g6BfCNR1Hd3d3RgYGICmaXYAHB8fZ/WPFtT4wREvRM2B4Y+oCcggOF8IlAFw3bp1mJ6eZvWPqmr84HgXoubC8EfUROYLgXIPYGdnJyzLwi9/+UvMzMys9GXTCptvL98dd4jxLnfcsbzXRUT1wfBH1IQqhcDOzk5omobt27cDAEZGRlb4ammlyb18vb1AIADs2eN+XO4O4C4BoubA8EfUxPxCYCKRQE9PD4rFIjo6OjAxMYF8Pr/Sl0orSO7l+8lPRAXwgQfE/UNDQE+PCIS6Dtxyy4peJhHVSGClL4CI6k+GQBkAAaCrqwu5XA4zMzN46qmn7FEw1LqiUWB2FrAssQfQNJ3HBgeB++9fuWsjotph+CNqITIEAuK4uEgkgra2NvssYGptd90lRr4Ui+7gp+sc70LUTBj+iFqUpmlob29He3v7Sl8KNQg5wmX/fiAeFwEwFALuuYfjXYiaCcMfERHZ9u5l0CNqdmz4ICIiImohDH9ERERELYThj4iIiKiFMPwRERERtRCGPyIiIqIWwvBHRERE1EIY/oiIiIhaCMMfERERUQth+CMiIiJqIQx/RERERC2kquPdLMsCACQSibpeDBG1LvnzRf68aTb8OUpE9Vbtz9Gqwl8ymQQAbNq0aYmXRURUWTKZxJo1a1b6MmqOP0eJaLnM93NUs6r4Z7ZpmhgbG0MsFoOmaTW9QCIiQPxLNZlMor+/H7refDtS+HOUiOqt2p+jVYU/IiIiImoOzffPayIiIiIqi+GPiIiIqIUw/BERERG1EIY/IiIiohbC8EdERETUQhj+iIiIiFoIwx8RERFRC/n/AQqi6CdSGC+3AAAAAElFTkSuQmCC", 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" - ] - }, - "metadata": {}, - "output_type": "display_data" - } - ], - "source": [ - "fig,axs = plt.subplots(1,2,figsize=(8,4))\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[0].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=0.2,color='k' if k == 0 else 'silver')\n", - "axs[0].set_xticks([])\n", - "axs[0].set_yticks([])\n", - "axs[0].invert_yaxis()\n", - "\n", - "# dispersion curve\n", - "for k in range(perturb_num+1):\n", - " axs[1].scatter(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", - " s=1,c='r' if k==0 else \"pink\", zorder=2 if k==0 else 1)\n", - " axs[1].scatter(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", - " s=1,c='b' if k==0 else \"lightblue\", zorder=2 if k==0 else 1)\n", - "axs[1].set_xticks([])\n", - "axs[1].set_yticks([])\n", - "plt.show()" - ] - }, - { - "cell_type": "code", - "execution_count": 27, - "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "((24786, 301, 4), (24786, 300, 3))" - ] - }, - "execution_count": 27, - "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_Australasia_loc.npz\"),\n", - "# data=loc.astype(np.float32))\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_model.npz\"),\n", - " data=vel_models.astype(np.float32))\n", - "np.savez_compressed(os.path.join(save_base_path, \"CSEM_Australasia_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 -}