From bc3b5545554e10812ac657aede58f941b5a3f9cd Mon Sep 17 00:00:00 2001 From: olivecha Date: Mon, 18 Apr 2022 16:22:47 -0400 Subject: [PATCH] Put everything in its right place --- DEV_Notebook.ipynb | 475 ++++++++++-------- FEMOL/FEM.py | 9 +- FEMOL/TOM.py | 10 - FEMOL/domains.py | 11 +- FEMOL/materials.py | 3 - FEMOL/mesh.py | 4 +- FEMOL/problems.py | 100 +++- FEMOL/utils.py | 123 ++++- ..._values_lcar03_T11_2022-03-31_23_00_57.npy | Bin 328 -> 0 bytes ..._values_lcar03_T11_2022-03-31_23_08_43.npy | Bin 328 -> 0 bytes ..._values_lcar03_T12_2022-03-31_21_13_16.npy | Bin 216 -> 0 bytes ..._values_lcar03_T12_2022-03-31_22_05_54.npy | Bin 264 -> 0 bytes ..._values_lcar03_T12_2022-03-31_22_30_27.npy | Bin 288 -> 0 bytes ..._values_lcar03_T21_2022-03-31_22_01_40.npy | Bin 256 -> 0 bytes ..._values_lcar03_T21_2022-03-31_22_18_56.npy | Bin 280 -> 0 bytes ..._values_lcar03_T31_2022-03-31_22_16_39.npy | Bin 272 -> 0 bytes ..._values_lcar03_T31_2022-03-31_22_59_58.npy | Bin 328 -> 0 bytes guitar_lcar03_T11_0_90.py | 3 - guitar_lcar03_T11_0_90.txt | 31 -- guitar_lcar03_T11_45_-45.py | 3 - guitar_lcar03_T11_45_-45.txt | 60 --- guitar_lcar03_T11_90_90.py | 3 - guitar_lcar03_T11_90_90.txt | 60 --- guitar_lcar03_T12_0_90.py | 3 - guitar_lcar03_T12_0_90.txt | 32 -- guitar_lcar03_T12_45_-45.py | 3 - guitar_lcar03_T12_45_-45.txt | 50 -- guitar_lcar03_T12_90_90.py | 3 - guitar_lcar03_T12_90_90.txt | 44 -- guitar_lcar03_T21_0_90.py | 3 - guitar_lcar03_T21_0_90.txt | 39 -- guitar_lcar03_T21_45_-45.py | 3 - guitar_lcar03_T21_45_-45.txt | 42 -- guitar_lcar03_T21_90_90.py | 3 - guitar_lcar03_T21_90_90.txt | 48 -- guitar_lcar03_T31_0_90.py | 3 - guitar_lcar03_T31_0_90.txt | 46 -- guitar_lcar03_T31_45_-45.py | 3 - guitar_lcar03_T31_45_-45.txt | 29 -- guitar_lcar03_T31_90_90.py | 3 - guitar_lcar03_T31_90_90.txt | 60 --- 41 files changed, 459 insertions(+), 853 deletions(-) delete mode 100644 eigen_values_lcar03_T11_2022-03-31_23_00_57.npy delete mode 100644 eigen_values_lcar03_T11_2022-03-31_23_08_43.npy delete mode 100644 eigen_values_lcar03_T12_2022-03-31_21_13_16.npy delete mode 100644 eigen_values_lcar03_T12_2022-03-31_22_05_54.npy delete mode 100644 eigen_values_lcar03_T12_2022-03-31_22_30_27.npy delete mode 100644 eigen_values_lcar03_T21_2022-03-31_22_01_40.npy delete mode 100644 eigen_values_lcar03_T21_2022-03-31_22_18_56.npy delete mode 100644 eigen_values_lcar03_T31_2022-03-31_22_16_39.npy delete mode 100644 eigen_values_lcar03_T31_2022-03-31_22_59_58.npy delete mode 100644 guitar_lcar03_T11_0_90.py delete mode 100644 guitar_lcar03_T11_0_90.txt delete mode 100644 guitar_lcar03_T11_45_-45.py delete mode 100644 guitar_lcar03_T11_45_-45.txt delete mode 100644 guitar_lcar03_T11_90_90.py delete mode 100644 guitar_lcar03_T11_90_90.txt delete mode 100644 guitar_lcar03_T12_0_90.py delete mode 100644 guitar_lcar03_T12_0_90.txt delete mode 100644 guitar_lcar03_T12_45_-45.py delete mode 100644 guitar_lcar03_T12_45_-45.txt delete mode 100644 guitar_lcar03_T12_90_90.py delete mode 100644 guitar_lcar03_T12_90_90.txt delete mode 100644 guitar_lcar03_T21_0_90.py delete mode 100644 guitar_lcar03_T21_0_90.txt delete mode 100644 guitar_lcar03_T21_45_-45.py delete mode 100644 guitar_lcar03_T21_45_-45.txt delete mode 100644 guitar_lcar03_T21_90_90.py delete mode 100644 guitar_lcar03_T21_90_90.txt delete mode 100644 guitar_lcar03_T31_0_90.py delete mode 100644 guitar_lcar03_T31_0_90.txt delete mode 100644 guitar_lcar03_T31_45_-45.py delete mode 100644 guitar_lcar03_T31_45_-45.txt delete mode 100644 guitar_lcar03_T31_90_90.py delete mode 100644 guitar_lcar03_T31_90_90.txt diff --git a/DEV_Notebook.ipynb b/DEV_Notebook.ipynb index e7e2a08..4abbb55 100755 --- a/DEV_Notebook.ipynb +++ b/DEV_Notebook.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 498, + "execution_count": 2040, "metadata": {}, "outputs": [ { @@ -21,7 +21,7 @@ }, { "cell_type": "code", - "execution_count": 499, + "execution_count": 2041, "metadata": {}, "outputs": [], "source": [ @@ -49,7 +49,7 @@ }, { "cell_type": "code", - "execution_count": 362, + "execution_count": 645, "metadata": {}, "outputs": [], "source": [ @@ -60,69 +60,67 @@ " else:\n", " return f'm{i-1}_Uz'\n", " \n", - "def TOM_improvement(mesh_files, eigvals_files):\n", - " fig, axs = plt.subplots(9, 3, figsize=(6, 18))\n", - " \n", - " for i, msh_f in enumerate(mesh_files):\n", - " msh = FEMOL.mesh.load_vtk(msh_f)\n", - " msh_f_name = msh_f.split('/')[-1]\n", - " eigs = np.load(eigvals_files[i])\n", - " plt.sca(axs[i][0])\n", - " msh.plot.point_data('m1_Uz')\n", - " mode = msh_f_name[11:14]\n", - " layup = '[' + '/'.join((msh_f_name[15:-4].split('_'))) + ']'\n", - " axs[i][0].set_title(f'eigfreq: {int(np.round(eigs[0]))} Hz')\n", - " plt.sca(axs[i][1])\n", - " msh.cell_to_point_data('X')\n", - " msh.plot.point_data('X', cmap='Greys')\n", - " FEMOL.utils.guitar_outline2(L=1)\n", - " axs[i][1].set_title(f'{mode}, {layup}')\n", - " plt.sca(axs[i][2])\n", - " key = highest_key(msh)\n", - " msh.plot.point_data(key)\n", - " axs[i][2].set_title(f'eigfreq:{int(np.round(eigs[-1]))} Hz' )\n", + "def TOM_improvement(mesh_file, eigval_file, eigvec_file):\n", " \n", + " fig, axs = plt.subplots(2, 5, figsize=(18, 6))\n", + " # Load the mesh\n", + " msh = FEMOL.mesh.load_vtk(mesh_file)\n", + " # get the truncated filename\n", + " msh_f_name = msh_f.split('/')[-1]\n", + " mode = msh_f_name[11:14]\n", + " layup = '[' + '/'.join((msh_f_name[15:-4].split('_'))) + ']'\n", + " # Load the eigenvalues\n", + " eigs = np.load(eigval_file)\n", + " # Load the eigenvectors\n", + " vecs = np.load(eigvec_file)\n", + " # Plot the guitar outline\n", + " plt.sca(axs[0][0])\n", + " FEMOL.utils.guitar_outline2(L=1)\n", + " axs[0][0].set_title(f'mode {mode}')\n", + " axs[0][0].set_axis_off()\n", + " # Plot the topology result\n", + " plt.sca(axs[1][0])\n", + " mesh.cell_to_point_data('zc')\n", + " mesh.plot.point_data('zc', cmap='Greys', wrapped=False)\n", + " FEMOL.utils.guitar_outline2(L=1)\n", + " axs[1][0].set_title(f'layup {layup}')\n", + "\n", + " for i in range(4):\n", + " # Plot all the regular modes and frequencies\n", + " ax = axs[0][int(i+1)]\n", + " plt.sca(ax)\n", + " mesh.plot.mode(vecs[0][i])\n", + " ax.set_title(f'freq {int(np.round(eigs[0][i]))} Hz')\n", + " # Plot all the optimized modes and frequencies\n", + " ax = axs[1][i+1]\n", + " plt.sca(ax)\n", + " mesh.plot.mode(vecs[-1][i])\n", + " ax.set_title(f'freq {int(np.round(eigs[-1][i]))} Hz')\n", " " ] }, { "cell_type": "code", - "execution_count": 363, + "execution_count": 646, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "msh_root = 'Results/Soundboard_Article/Soundboard_TOM/iteration_4/meshes/' \n", - "eig_root = 'Results/Soundboard_Article/Soundboard_TOM/iteration_4/eigvals/' \n", - "eig_files = np.sort([eig_root + f for f in os.listdir(eig_root) if f[:3] == 'eig'])\n", - "msh_files = np.sort([msh_root + f for f in os.listdir(msh_root) if f[:3] == 'TOM'])\n", - "\n", - "TOM_improvement(msh_files, eig_files)\n", - "plt.gcf().savefig('all_TOM', dpi=600)" + "root = 'Results/_topopt_cache/'\n", + "eigval_files = np.sort([root + f for f in os.listdir('Results/_topopt_cache/') if f[:6] == 'eigval'])\n", + "eigvec_files = np.sort([root + f for f in os.listdir('Results/_topopt_cache/') if f[:6] == 'eigvec'])\n", + "mesh_files = np.sort([root + f for f in os.listdir('Results/_topopt_cache/') if f[:3] == 'TOM'])\n" ] }, { "cell_type": "code", - "execution_count": 486, + "execution_count": 647, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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+MSb8RlLUi+QXY8JvJEE9SX4xJvz5IHHRF5EP46TBLwXOUtV5iXYgJIWigZcCX8KJ8P8cR/j/lWrHjLqmHiW/GBN+I07qUfKLMeE34qQeJb8YE34jLkSkacxlHbmpBxMEE/5sk6joi8iHgDtw9q5/fxoF96KiEOG/HPgC0IxTtO9KVV2WaseMuqPeJb8Yq9JvRE29S34xJvxG1NS75Bdjwm9ESdyS32dZ9SSBjUOb4mp6L567elIfVd2UWIOGZxITfRF5H3An8DdgQhLb5iWBiBwEfB1nDf9OnG35pqvq6lQ7ZtQFjST5xZjwG1HQSJJfjAm/EQWNJPnFmPAbYYkrXb+W3FcjCfF/7upJPVX19dgbMjyTiOiLyOk4hfeeAk5X1fWxN5owInII8A3g08Bm4AbgWlV9LdWOGbmlUSW/GBN+IyiNKvnFmPAbQWlUyS/GhN8ISpTV9cPIfSXilv7nrp60TxYLrDcisYu+iIwG/gosBk5W1bWxNpgyIjIKaAc+AqwDOoAbVHVdqh0zcoWIdLt+7vgdafcjK5jwG35IUvJHDPOfvLV46QEx9KRKeyb8hg9M8vfEhN/wQ1SSH4fglyNO6TfhT59YRV9EBuCsx+8LvEVVX4qtsYwhImOBbwLvB14Drge+V+8THUY0WDS/PPUm/CIiwL7A/tfPHb/Qvf+i0bP62+RgMESkubVz+va4jh9E7L2QhPzXm/CLSDdgv7b2jj3+KAumTuqtqptT6lauMcmvTL0Jv4h0B/Zva+9YUXz/gqmTeqjqtpS6lWuikPykBL+UmIW/l6puia2BFBCRfYABh9xwzVL3vkUXXnow8LKqZqYAY2yiXzgB/wl4J/AuVX0sloYyjoiMA6YC78OJ8P8vToQ/l2v4C5M3xwJHAYcDrcAQoD9wMLASeAFYAzwLPAz81Yp0eMckvzZ5rNIvIr2vnzt+Y9DXXzR6Vouqxiaw9UJc0fy4BL8UE/7yiMiQtvaOl4O+fsHUSbn7zkgaEZFx519bd9uAhWVD657DZf6U/FUZP3xaOAHN43tOmrCSn5bgF5PEOv68VekvV29h8zB/f6t/ffmS1N5znKL/dWAacL6q/jSWRnKEiBwDXAF8CHgd+ClwnaourPrClBGRwcCpwLuAk4DDih5+BVgEvIxTl+DNOIKvwODCc5uAHcBM4IfA71XVUtIrYJLvj4tGz8psWpiINF8/d3wsYl5vmQ1REYfkJyX45Yhb+rsmTs6s/IpIz7b2jlii8iYt5bFofnlKRd8ly58jEenf1t4RS42oLL/vNAkj+kEkv++i6gHyDYf0DNqdhhf+Wn9Lv6LvsujCSxPP1oxF9EXk7cAjOFvpfTKrFxJpUFjDfxlO0b5m4HfA/wB/zsLvqZBKPA44GzgLJ3oPzvKDvwCPAU8A/6i1PaKI9ANOwJkk+CQwFFgKXAN836KTeyIiTdfPHZ+ZdJ+8kQX5DRu190sW3nNWiFry0xT8Uholyh826ugXE5Y3MMmvTCXRd8nKUpEkx4+l9+9JUpJfS+6r4Vf8k9qe77mrJzWnneruZ5eEoJJfzKILL01skj1y0ReRvsAzQDdgrK0zLY+IHAh8EfgcMACYD/wE+Lmqrky4Ly3AKcAHcGoKHATswimi+Afgj8DTYQaiiDTjTBx8GUf85wOTVPUPYfpeT2Q1mv/nNaN2//zugfNS7Ik3Lho9K9G1YGn/3ZJ+v1klStHPkuSXkkCUP9GLrqTlvpQFUyd1U9X0c2ZTRES6jzv/WpO2MtSS/FKSXCIiIk1t7fHt0+4FmyyLX/LDyH05/Ah/UrLvkmSUX0RaxlzW4TsjNArRd0kipT8O0b8eR+ZOUtVHIj14HVIo5vBRHOE/AdgJ3A/cBvwuru35RGQgMAFHvs8A+uGk3/8R+C3wh1oR+4DtCnAmzm4EhwE/A77Q6Gv405ZF2FPog5K1iYCLRs/aL+oCmHGm5IehkaP7UUl+lgW/lCSi/F0TJ0e+J7KI9GrtnL4JoMdLLVEeOhSNLCwWza+MX9EvZsHU6COVIrJ/W3vHK1EeMyyNHt0PKvppSH4xXoU/adl3ee7q6CfNoiiWGKXoQ/zR/UhFX0SOxUnr/qGq/ldkB24QClsRngt8HKfI3U6cdPn7gD8DzwRNdxeRPsDbcaLppwJvAQSneN49wF3AzKQig4UsgiuAKTjR/Y+o6rNJtJ1F0hL9KOS+FhmUf18RPBHpd/3c8bnITGpE2ReRltbO6aHrNEQh+acN8fdZv39F+PGX9FZ9ftf1i8jg1s7pKyo9brKfLib51Qkj+qUsmDppgKq+6vX5IiJt7d7SibNAI46fvEq+S5aj+6U8d/WkPn6CgiLSbcxlHZHXBIta9AEWXXhpbJNlkYl+ocr+X4FhwChL2Q9OIer9FuCDONHvowoPbQGeBubgyPFinEJ4awF3tL4O7I+zHn4kMAY4uvBvE87kwd9wIvd/AJ5MM21RRMYDvwB6A+9X1T+n1Ze0SFryk5D7SmRN+uuRRpP9KKL5QSXfr9jXIoz4Jy38UZEl0YfGkxUT/epEKfqNQCONHxFpHnNZh+/gWy3JT0Lwi8mT7GeBOETfJY5U/ihF/7PAjcDHVfW2SA5qAM62QjgV70/AKZR3FM7e215YjjMx8HfgUeAxVd0QRz+DIiIH4WzFeBjwb6r623R7lBwi0v36ueMTSXlLU/ArYeIfD40i+2lJftSCX0pQ4c+j7GdN9KFxZMUkvzom+cFolPETRzQ/ackvxovwN7roxyn5LlHLfiSiLyK9cfZOXwS8MwvV4+uZQsT/AGA4b+xh76biPw68iiP4i1R1fUrd9IWI7A/8Hngr8CFVvSvlLiVCUtH8LEp+KSb90dIIsh9W9P1KftyCX44g0p834TfZTx4RkXHnX5ubtPAkMcEPT72PnyxIfvPCZVUf3zFyqK/jZX3NfhZIQvQXXXipryUKtYhK9K8ArsSR/EdDH9BoSAp1BGYCY4FT6/2zJCI9rp87PtJCV6XkQfBLMeGPjnqW/aSj+WlIfjH1Lvwm+8li0fzKmOhHQz2PnyCiH1XKfi3BL8WP8JvsVycJ0QdYdOGl3VU1kvoCof9SIrIf8BXgrnoXMyNeVHUjzi4ALwF3i8hhKXcpVkzyy/PnNaN234xwZGE3h6ySJ8l3++C3H3naRWDr8G1sHZ6twt1pb/0XF4WsQMOIFRHpkXYf4iCKyu2leJH85oXLfEu++zojXxxywzWR7ewUOqIvIlOAdmCsqv4jkl4ZDY2IHIKze8My4O31uEd43NH8KCV57orBvl8zesjKyNovxqL9wai3yH5SKftZEPxK+I3wW3Q/GAumTvK1S0cesGh+dSyiHx31GNWPOprvVfLD4jWyb2v1y5NUNL+YKNbrN4d5cSHV+iLgHpN8IypUdZGIfBpnV4D/AT6bcpciJ8uSH0TsvR4j7ASA+95M+I24CSv55/R7quZzZqw/NvDxTxsyz5fsjxi2OleynxXa2jt24tS/MRoAk/xoOXzadVpPsi8ivcdc1pFomxaRT580JB/g0O9dq2FlP1REX0QuAq4DTlDV2WE6YhiliMi3gK8BH6ynSvwiItfPHR/Lt0ZQyY9C7oMQReTfpN8b9RLVz3I034vcVyOo+NdjdD9LUX2on8ikRfOrY6IfD/UyfpKO5kcl+VFG86GxIvppSb7LogsvbVbVnUFfH/gvJSJNwBdxtmszyTfi4L+BZ4AfFGpB1AVZkvy5KwanJvnF7Yfph63p94at1/eOX8k/p99ToSU/zHH8rt/P09r9rCAi3dPugxEvJvlGNaKubZHmVnpGfjjkhmtCFeULHNEXkTNwUqs/oaq/DNMJw6iEiByDs16/U1XrIoU/DuEKKvlZJmy03yL9e5P3qL6INLV2Tg88s+1FcP0IcxRyX40gEX4/0f2sR/Ytqh8tWYrm77twq+fnrhuZTE03E/14yfv4yevafLCIfhjSjui7BE3hD/OX+gKwErgzxDEMoyqq+jTO8pDPiEjwBa0ZIQuSn3YU3ysW6Y+evEf1w0h+1MQt+W4bftvxG9m36L536rUKf1Lsu3Dr7luQ1xlv4O5SUeuWJQqZwEbCmOQ3NoGK8YnIgcB7ge+qara+SYx65ErgPOB6ETlZw24VUUcEkfww7FjeK9Drmg/aHKrd4n4HifQX/54aPdIvItKIYyjKaH4Skl/anp/ovhXqM0oRERl3/rWptB2VpLvHiSPCn3Y0Py4pr3bcpDNm8lzYMo4t9WoRNpofteCDSX6aBC3MF/Qv9onCa28O+HrD8IyqrgOmAicCZ6TcndwSRPJ3LO+1xy0opccJczyL9IcjrhoRcSMivdPuQ5rEGdkHW7fvlbxG9cedf23i4z6uSHxeI/xZi7yn0baIJLMOIwNUS9uPmzii+Cb5+SToX+1c4HFVnR9lZwyjCj8FuoBvRF0QJSmiTpv2KqpBpDis2PttJ2h7Jv2NQ2vn9I1p9wGSj+aHadtk30iLJEQ8y7KfFZn3QpJ9bGvviG1r4TzhZX2+V1kvfY2l6tcvh37vWt8e4fuvJyKjgTcDv/D7WsMISmGJyLeAtwKnp9yd1PEj+X5ISvBrtR9G+oNSLP31Lv55X6vvl6iL8KWJ33X7eZb9rMpR3qL6Sa+NTlLAsyT7eZD6WiTR/7yt1U8jbd/Fq7j7EXwwyW8kgqzR/3Dh319H2RHD8MDNwDeBi4E/ptyXuiJNua9EaZ+8rvMPu57fpVT2G31tf5qIyH6tndPT7kaq0fww5HnN/tbh2zJXfT9vjDv/2sSKWKYh3vsu3JpYZf5y5FnsKxHnuMvzWv20cCW+eeGyQJF+lzwLvtelEFnse5T4Xasf5LfxIWC2qkaz54NheKQQ1f8+8B4ROSLt/vghyghq1NH8qCS/19KmircoCBLpD5vaX0y9RfrzFNVv7Zz+atp9yBpxTzpkKbKfRUTEewWrBiHN6Hoabec9el+Len9/cRLX+vygkr/hkJ6eJD9La/H7LNu1xy3I68KSla31wuAroi8iw4BjgMvj6Y5h1ORHwBTgc8CFKfclcbIg+UHEvdJrgnyJFvfZTzV/93cSJsoPVsHfMJImi1H9tvaOzVhUcjdZSqH3S5CK+3EKcBSTbFFm5MQx/g6fdp3On3Jx5sePiPQac1lH2t0ITF4j+FFNlLjHydr7C4uItHjd9c5v6v57Cv/+wefrDCMSVHW1iPwW+JSIfEVV83t1ERNeJN+v4EcVlfdyXD/yH0T6o0rth/xLv4g0qWqmp6xFpCkLaft5x2/6PmQrhd8IxnGf7Yg9cycrkp9UCn9YyU8iW6a0jbDjOIuTbUkw5rKOTWn3IQhxC37pdVqU14hxZEP0WbarrmT/kBuu2YrHiWa/73oCsAx4zm+nDCNCbgL2B85OuyNeiCrF00s0P2rJjzL13m+bftsNk9ofBXlM679+7vjE1u4GpbVzeub7mBZ5rRlQL+StKF8cZEXykyKM5I8Ytjq1JTFu22HajzqLIa87KEWBn73r/R43jhT9zcN27XHz+7hX4tyS0O+x6yFtH3yIfqFK5ruB+1W14U9uRqrMAlYBH027I164fu547/nlMeNVhNMQ/Gr98NOXIJX7bR2/0QgE2VkgK2v1ba1w9sii5Pvtk5+0/SCfwSgEO2qy0p+29o76MKmARCn7XgTflXsvgh9W3LMqyXFOJCSNiPT38jw/qftjcKKoDwboj2FEhqruFJEZwL+LSG9VzWVqVdTUElU/kp9Fivvl9STivme/af1RpfTnIZ1fRJpVdUfa/YiLLFzQGoaRb/xKfh6+d9w++knrb6QUfhEZmOX1+VGm58ch5u4xvV5T1pOEJ8EhN1zzGh7S9/1c0Z9c+PehQD0yjGiZAfQETk27I0mQVJQ4jOSXVkj1cgvTTz+R/jQj/Fnn+rnjt6fdh0pkLbVzxvpj0+7CHiTVn6xISxaj+iKyb9p9qESc6/OzGM3PAnFGy08bMm/3LUr89jeL4zAOxlzWEfsXn9dU+9LnR5GeH0WqvReyFt1vtAkFPxH9E4DlQFdMfTEMPzwCrAfOAu5KuS8VEZGm6+eOj72dKKL5fiU/ii/LcsfwWzDF7beXk0kaEf4/rxmVi8h+FmntnJ65M/KM9cfa2nhjN23tHWtpsOr7WZf8qIvyeRXbMILvV96rPd9v0U3wX3gzqsh+Xqrvx02puPddtCVwan+ta6isiXcQ+i7assf/o655EOZ31HzQ5si2ra6FiHRT1ap1jPyI/luAx219vpEFVHW7iPwJOENEJKufyyiKnYWNCkcp+UnMhBa34Uf6/aT2Jy38JvvpsXjpAZmJSEdJ1rILDKOR8fsdE3VUvtKx/Ui/7bKRHYKIa5SC7/XayKvQbh62q+p1ptdry1LBr3R/rd9fHFX4i39n5X5/ccj/ITdcs4MaE82e3qWI7Ae8CXgign4ZRlTMAobifDYblrAp5lmS/HJtBkn195rWHySlPyhZLtR3w7xTMzlRliR+LojzKtlBIn1ZI4tpw1lbYhInWY/mR42Xz5sfyY8j9T7K9vy8lyyOxajI05j2mqJfjeaDNu9x80qQ1wSh76ItFSW/0vOD4jea7/X9J/F7KofX6YyjC/8+GVM/DCMIfy78+65Ue5FhakmsFxkOu54+SrIg/GEnVrIq+4Y/0pT9vE401CtZrB6eF1Fpmbd0r1ue8CrGSQt+mPaTzoDK4md1zGXhxnTce7Z7qaBfS/CjlvRax0p6yUAY2fdC0N9d0rLv9ZN4VOHff8bVEcMIwAvAGuD4tDsSF7WkMIx0epX8LBJE+L1gst/Y+I14z1h/bKLSnXR7Rn4Zd/61kX95RxXNryX1UQi/l77W2lovqoh1moJfStSyH8XvKIsTZVnGS4p+JalOKgIfJWGEPS7ZD/v7i/L3LyJVPxBe1+gfBbwKrAjdIyMxRGR/4DjgUGAgzsTOeuAl4BlgUVbXtntBVVVEZlPHoh+GatIap+QH/WINsibN7aOX2XOvRfu8rt+fu2Jw6G34jMqIyKDWzumJt3v/ilG+L8xd+Y6jSF9UYh8mbT9r63YbaYuvesOPwLvP3TZqWFzdCYUXGfb7XRLkO8Tvd8RpQ+Z5+j6wNfvZIswafL9iWe7axmuAI8lidFHjJesgygyIKH5Ph9xwzU6qrNP3KvqHA3PzLIWNgoj0B84FPoUj+dWmrJeIyB3ATao6N4HuxcHfgbNEpI+qbky7M8WIyP5JVNyPA7+SH8WsafEx/Eq/nwJ+foS/+Av9hY9MfdNhv2p/sfg5YWQ/awX6RKRJVTMTWWntnB7ZLIrfgnxBZB/2vuAOKv5RR+3rSfKN/JK3tPyweP0OCTtBWPx6r98dXmXfCM7GoU2hsyK9BDHCCr7Xa5jS51UT/0oSW6soXylRXVtGVZU/6kyIJCZFvIr+m4A/xtkRIxwi0hO4GPgq0AennsI3gYeBBcAqYBfQHxgBvA04HbgQuEREbgO+pqqLku57SJ7GmcwYCzyacl/24Pq541+J8/jVvmTDRPP9nJjiSosKK/1RRPj/9eVL9pwk0ylQMnHWNmOa1ovsF3aIyNxayahISvaLSTvNPq0L+a6Jk3upas0vhxE3f7duggdZ3v0lCsKm7YeR/JZ5SzMX1a/1XeLlu6OS4I8a/nJzrS2zAOYvOWivz5t7TC/fPV5k30tU3zJs4iFuyQ+bkTh6yMrQyxjj4P7Hvl7zOkZEpLQOg5eChXmkpuiLSG/gQJz10EYGEZE3A7cDo4DfAleqaqXCia8Ubk8C3xeRwcCXcSYJzhaRLwGdObpgcetGjCFjoh+WNNZxh93iJA6CSL/flP7iL/i9BL8KC86ZIuAIv6Xx1x9RyH4aRCX4fqP5XRMn91HVTZx3ubfjn3e5QN0I/xDg5bQ7kUWiiOQnLfth1p4HlfxRw1/urqo7vF59HX7wcoHKwh+V7BvJEqfgR32d4h6vnPCHjVZXu85sXrhsr/vuW/XDJq/uUnielBP+su3FKPlxR/W95E8ML/y7OLZeGIERkbOAx4F9gdNV9YNVJH8vVHWlql6BszzjCeCnwPW1ijtkiJeAzcDotDuSB/ykTFUiSckv17af9r0W7eu1tIl/ffkS8SP5xSw4Z4rc9c7/DfRaK8yXHEHS0O9fMSo3F8Jp9nXxeZeLqm4K+lpX+r2Sta292to7lqfdhywSZbp+VlL/q0Xza0n+Of2eKiv5hx+8XFR1R5D+HH7wcnGlv7StKEiiCr+I7Bt7Ix4RkX2iOpbX6vtequi7BJH80UNWxlpTqNLxy/UnbPX9Usm/b9UPu9278geBMqpUVZ+96mJ57upJ3Su2l9NIvouX1H1X9JfE2RHDPyLyPuBOnMJ6Z6rqqqDHUtUlInIqcA1wEdBDRD6f9ci+qu4SkRdxlpcYeK8cX4oXIU5T8otx++Enwl/tBPrsVRdHkrJ+1zv/V97/yBczPWYaHb8p/C7FAp21KH/Ucu93QsSvpFc7Tp1E9w1jLyqJdzlJD8LhBy+X0ui+l1T+KKL6YdP329o71pKRpWNjLuuI9ELHvfYovcYKsgVfUMmvhdclhFkLTNy36ofdoqgtpKo7RKT7ITdcs734/qQkP2xUX0RaVLXs7LcX0XdzpUz0M4SIHAncirNG/TRVXRf2mKq6U0QmAVuBy4H5wHVhj5sA/8LJSGgY0lgXlRXJL8ZPkZVK6fxRSb5LENnP0lr9RsAV2aCRqtKL4iTFP86IfZCMh6gkv/h4XmXf1gYnQ9D1+VmJwEdJmGh+OaKS/OLjlUvlN9IniNgXE7XkB7nmcF9TSfjLrduPMjW9OJofleS7lMp+niL5h9xwzVYqTJR5Ef1BhX9tAWpGEJEW4DZgA/CBKCTfpbBl3deANuAqEZmlqv+I6vgx0QWcmnYnsk61tP2wlWHTJEh0H5yTbtSS72KR/XwQNLpfSi35DiIASabgB62sH7XkFx/XIvv5Ji7Jz2JhPi9UStePo61Kkf0wUX3bai9dsiD5pa9PM7ofteS7VIrs5xkvon8AsNFLBV0jMS7CKT73PlWNfF1gIR3+P4C5wA9F5B0ZT+FfBvQRkb6quiHtztQjQaP55QqmVGLHyKGB2nDxu4XKc1dPauKqi0O1WQ2/sm9R/XSISvarkdU1/mEu3OOSfJeuiZNbWjun11yIb1F9I+skKfm1+pH2TiCGf/xKfpyCX3qscrIfVzX+4uvJOLcCVtUdbTOmxXX4isRVlM9LHslAnCrtRgYQkV7AV4B7VfXuuNpR1VeAK4DjyX60fEXh3yGp9iIDBPmSqBXNT0Ly3ef7fU0pfor1ZXzyykiQxUsP2H2rZ4rfZ9bfq6rWTUTFqH/8ZO2MGv5yjxi7AqQzkWBET1Yl3+8xS/taqyBf6XVc8bXhvSt/EPtn+4WPTM1LQfKaeHkj/YDIUsON0HwKGAB8O4G2fgYsx9l6L8usKfw7INVeREjWCp74Iaywu68Pc4xasv/4rZcm8iUetBK/kR55kuFaxPVe4o7mu3RNnFyxErJh1CJobYEod3QoF82vVDQrCapV4s9akVGjMn7Xj1u2oD/qKRDkJXXfRD9bfASnSF7se8ar6lYRuQWYJCL7qeprcbcZELdf+6faiwwTxbZ6XggbkS93vKAp/dVS+bP6JW7p+9mjkiAnseWUV/I+IVEJVd0x4ubvVn2Ope1nj7iL8OV1nT7AqOEvtyR19rHCfPkm7DZ0Ll6vKd7b5/my9/9h4xE1j18anIorfT+JaL7LgnOmSNuMabkfP15EvzdviJSRIoW0/VOAjgRF5bc4SwXGAzMSatMv7rr8Pqn2og7xk7YfteQXHzfs+v00+d2J/6/n+/7yX1bjpM6oV7muRdfEyU2cd3na3TASImhUvB6JYnLPlqQYYQmzjV4lKkm++1gt2Teyi5cwXw+c7daM9BmDMznzeIJtPg3sBI5JsE2/bCr82zvVXiREGlvrpU3QSYRyExWP33ppt7D98YOqvp5ke4YRJ0lnw3RNnNw/yfYMwzAaiWqSb+QfE/180Vb4d25SDRYkZSFwWFJtBsBd72Y5nMZelMp+nNVaDcOIlii3jzWMOMjy2vZRw1+OLDJQK6MhytoGjY7ftP1K0fyolgLWmgywJYfZxYvoC2AXxtmgX+HfpJdStOHUBsgqOwr/elmKYhRRq+J+lohraYBhGPnE1ucbWaZa4bsE2cvOM9IvIwPkKZp/36ofWh2uAJgY5Qu3ArGt8dqT3BfLyDsm4YZhJI1FEA2jOqqq85cclHY3jDogzrX6G4c2eQk8Jf6F/8JHph542K/aX0663SjxKvq2RVQ2eLXw7wDglQTbfRYnfT+ruJ/j/ISn64wdI4fGLvt5LshnhMeit42L+7c3sTeyyP0rRpVN35+x/tjUo+cisu+8lw7c474Z649NqTdGnqkm+UlsCT1h0AUbSdhH8y754C11fyu29jkrLCn8e2hSDYpIN5z1+S8m1WYA3M+n1ZLwycahyWy7F5Ywkl+6xZ6I2MRlzjDJb1xEZPcAts+BYfhj3ksHrk2qLRuf6VGpSHMtAc9KNf08LSPNG15Fv0fcHTE88RROmvpbE2xzDM7f/58JtumXXoV/G2ILszBbqDQapZJfYFCSfRARWyIVArt4bGza2jv22Euqx0st9pkwUqFRt9R0afT3nyS9liYXhPEi+1mZEDD84+WTtJk3RMpIEVXdgCP7ZyXY7JmFf+9PsE2/9C38uyHVXtQhFUS5LHGl1kd93Ld94poVkR6wBu/7y39ZTY2AmNBlj8OnXZeJmij22TDyiGWUGWHZsTx6Jasm8ib5+cZLpGk9MCzujhieuR24SkQOV9X5cTYkIk3AecDjqro8zrZC0r/wr23DlDJRr9WPMmU/D9gWNW+QN5Hr25W8/25orW9nEBFpa+9IuxsNzbqRPdh3ob9VcdtGDaNl3tKYeuQc3wvrRmYvGXXeSwfuIqF1xiLSt3R9vpEfei1t8rXN3twVg8tmfP55zShP1xZZFnr32vKMwZ/Xe1f+IJHx0zZjWiYmtcPiJaK/Htg37o4YnvkZ8Drw1QTaOhM4HPifBNoKw8DCv9U3ec0RUQuf3z1ZwxBFBH7HyKGxSv7bP3ltIl/g73/ki3VxojAcka92y1qf4iSpqH5be4ct3DQSJ8pJxnKF75KK6s976cD1Xvpj5A+/Uf04i+WVO3almgFG8ngR/VdxqrwbGUBVVwI/AD4tIsfF1Y6I9ACuBV4AfhVXOxHhfqOsSrUXGaD5oM21n1RCrYJ8QSLjQUU9rOBDPiP5RvbIgsiHISuTEUGxFGejXiiV60JUP1bmLznI94C/f0X8ldMNf1Rbq19O9qsJdhyy7/WYpX0NUoPAvTY8Y/DnYz+Z1Us0H7yJ/mpgXxHJVx5lfdMOrAD+T0Tiqp/wHZxq+19S1azvaXQQTpbDa2l3pF4JKs+uuHu9JdnPI78Sb1TSbzTf0vbTJ69S7JUo31/cUX2L5ht5wq8kF5ZGJopF8/OJXymuJftRCX+l41g0Pxhx1F4Ab6LvRkkTrVRtVEZV1wLn41TEv6WwBV5kiMh5wMXA/6jqH6M8dkwMB5aqan1enUdEtfT9vGyzV4kNh/T0LPkbhzbtfr9xyb6l7OeLJOR+34Vba96SJArpj0v2vRx36/Cszz83Nl7X0WfluEkz76UDd8Yl++Wi+bUkv9ZEhVXcj44gW8lVkv1KclhLtsPKfpxLAaB20CbOqP6h37tW45LuNPDyJeNW1oqnpLYRCFW9D0fGPwjcWki1D42I/Dvwf8As4NIojpkAhwL/SrsTSZLGFntZTIkPKvjFRC37Jvn5IWrBDyvxaU0ChPk9RC37Wanqb7xBFovapUU14a0my+VEOw7ZD5Kyb8RPn2W7dt/K/d8Lcci+3wh/reeXazNKaS7O/IxD9g/93hv1m/Ik+4suvLRPpce8fMG8VPh3eDTdMaJCVW8ALgM+CjwkIm8KeiwR6Ski/wP8FJgJvC8HKfvuOs43AQvT7ktWCLJOH7xF9bMi+34EH2q/t6hkP6jkW9p+8oQV/KRlPIkJgLRl3+txLJqfD+ol+h4Vcct+JckPG833QtgChgumTspM1vBzV0+qKE1BqCXzfoS/muxXWrPvJZW+WPqr3bJGlLJfLPkuScl+2HZUdVOlx/yIfmuoXhixoKrX4Ij+4cAcEZkmIv29vl5EmkXko8DzwBeBDuBMVQ1mi8kzGGd7vbkp9yMXRFF9P03ZDyL4XpclHPq9a1VEugfpl4g0WSQ/PwQV2rTS7KsRdX+CRvcPn3adBi2gJyL7WCS/PolS9pOcOKgmrkGj+uBId5nifDvDROLnLzlIK6XrR7EuP6G0/TVJNOKFatLkFz8Re6/C77dAH3gX/jAktTa/tKbTGYM/r2GE/8ivXKfVgj15iuyXo+YVcGE9+Ks4UVMjg6jqr4CjgN8DXweWisjNIvIBEdnrG1pEeonIO0TkSpxI+O3ARuDdqnqJqm5Psv8hObLw7/Op9iIG0ojyepViv8IdliDteXkvm4ft2n0DOOSGa7YVhL/ZSxsiIm0zpun7/vJfO311rgiL5idLEInNmtyXIw7h90tbe8cuP8IvIj0On3adtrV3bPHTTpTbn0VF18TJkdbKqSeiEPR6yw4oJ+CVhL0S1Z7vVfCzUmnfaiy9QVyyD/EIf7VjluuL1+KCta75SoX/tBOu1NNOuNLz56iW4O/RVo5lX7yMLRH5K7BJVcfH3yUjDCJyDPAFnCh/v8Lda3Gq9AP05Y16C7uAB4D/B9ytqjuS62k0iMhlwFXAQFV9Je3+FCMiB14/d/zyMMeolSpV7Qu72hdTrS9av8Vi+i7ydZ3uiaATCV4nK7xkN7jLIF74yNQDVHWNiPQ/7Ffte+3uELRmQpYk/6LRs1qyNMkXR4Q3qOTnkajWVW9oDb/L3YKpk/YFNgCD29o7Xg59QLKXvr/4vMsztR3gcZ/tiHz8hB0LLfOWBnpdUMn3Mgaqfb6rfcZGDFtd9binDfH+3X5Ov6eqPj5q+Ms9gW3zXjqw6oSy3+i9F8n3Es2PYuJt/pSLMzV+oljOF6ToXileAxaVqLWUM2y9p1qTBl5Fv9LvKopry5mzp3QH5G2fuGaPAV3ud1vrujDo0thqRDGJ8K8vX1Jx/HiKWgELAJP8HKCqTwP/ISJfBI4DjsdZdjEER+w34xSuexZ4UFXzviXdOOClrEl+gRW1n5JNNg5t8nWScqU8zJdy2AwBPzsH+JF8gMN+1b66bcY0DvtV+17PS6MwYhxkSfKzQlSS71Vwooxa7rtwaySy37dLQ8t+W3vHutAdKSJrkm80HouXHlBV9l2J9iL8xYJeTvrnvXRg1RNrkPT8rETyjeq412HVrm9ccS53XeNKZCVBLRV1L9czXjMCwkTzXTYc0jO07L/tE9dEdm2zY3mvSGU/iUwBr6L/LPBpEdmvDsSwIVDVrcCjhVs9czzw17Q7UQ5V1RvmnZpa+80Hba74JbJ52K6aX7h+ZR/SWb8fteCDt1nbsIKfpWh+FlkwdVJTlHup+43mh5H8oJHL0teFFX/3PdRT1XST/Pzifp79jI80U/Z7vNQS+vN2/4pRvqL7Sex171XybUu97OBV+Ctd49QSfpeo0vrzmupe7XfoErXsh2XRhZe28OVLKj7u9Qr5n4V/jwrdI8OICBEZirMbxOy0+xIXtWQwjGx6kV4/Ep00fgrtFa/Dr0bzQZtN8jNCmms2g0h+y7ylu29REdUx87r8wAjOkzddEnnNgKgmjLaNGlZT4L08J228inCWoudRS34UafsLpk7yGnRseGoV7Ou1tKnm+v1KFfqjIupjhwkgxRV8iuI9RvV7qpWN6fUq/pnCv8eE6o1hRMu7Cv8+mGYnskwtac2b7Ltyn5bgg0l+veNXiqOW+7TbyTJZjeZnsRCfqkaWDRMXrsyXu4UlqSwWP7KfpvCn3X41VDVwMdu4eO7qSYF24HGJYn1+reOHEX6ovCVfUOKcQAgi7HFnmAZ9r3FPtJTi6WpZVV8GlgFvjbc7huGL8Tg7Qvwj7Y6kSVjx9Cr7aQm/X7kH74IP/oqr1KvkXzhqZqYKIeWFNMQ76TajKMZX7+RBqqOinpaBRIWfFPekhTtIe0lG87NKXopTRyn8QQTUz+v8rs8vxau4J7krVJDfV9L4SZd5AhN9IyOISBMwAZiZ5Yusi0bP6nH93PGh8mbfPXBezer71ai2Vt8vrmzHPVsddFLBq9xDsoIP2ZX8RsDr+nw/0fxGj64bRiPgdZ1+reJ8pZTKt591/H6P7RVbk58NiovPeRXWWmv4iyXbyxr0qAkr+S7VCj9HJfde1ukXU/z7Kr2ujFvsF114ac9q6/PBn+j/FfiAiAxS1VWhemYY4TkWZyeBe9LuSDVUdVsSBflGD1lZtYhKLdn3UpyvmOKTSVjpD5spEJfcgwl+2iyYOqm5rb0jc5GVtCW/Zd5S3+nNUVXhT4uspu03IutG9sh03YeoP+dxyX4x5eTci/xHlR3gV/KjiuYvmDqpiSkXR3KsvFKtqnzpY7VkNmyV/jiISvKLSXKXJj8kHbFX1ddrPceP6D9c+PckYEagHhlGdHwQ2Ancm3ZH6gX3S9/vl3JaKf1ZF3zIh+RfNHpWrwtTK3tXHVXdefi069LuRiYJIvtG9Cw+7/LMrm148qZLmsadf20sV/NZl/20cIU5qPAXk1SKf1qSD+kWXc0CfreOc5/vVfghmih/UOKQ/CTwG9XPMn7+Ak/i7MF+ckx9MQxPiIgA/wb8WVXXpN2fJPAijLXk1KvsZvnLzV1772f9vd8U/aii+HmQfABVDbdJbYORdjTfMLzS6BIVJX7ldvHSA3KRCp+HPqbFs1ddnNlJvL6Ltuy+1aLWOn54Yy1/lGIeNEs0brJUYDoJPL9bVd0G/AVIb2Nww3A4DhgJ3J52R7xw0ehZA9Lug4sf2c+K8PuVe0hP8CEfUXyj8QiSzpyVQnyWtp9NsrgUJM4+BYlkZ1X4g/Yrymj+gqnhKtvnHb/R/GrH8SL9XoQf9pT+IOIf9HVJCHg9Sf6/vnyJpxO033d8HzBKREb47pFhRMdngC3kZAmJqr4axXGiiOqDvzT2NIS/WOyDyH2agp83yb9o9KzsXamXsGDqpNBXllkR1iixtP30yXLaflJkUfaziCvWaYp/2PajrrKfl8r2eSJK4XcpJ/6l90WVERCniPs9dl6XHZQSRPTBqXZuGIkjIr2BTwAzVHVd2v3JIlHLPsQr/EHF3sWv3IMJvkshUyvTqOr2tPuQdyya37g8edMlsV+tZkX2k+hHj5daIhHeUvGPQ/6jPH49b6VXjeeunhRLRmZU0fxqx49a+F3iFuB6irrHxaILL+3n9bl+ivEBzAf+Bbwf+KHP1xpGFHwa6Af8OO2OpIHXrfZqVeGHN2TfT5XQciLu9Us/yokCv2IP0RXYA0vPN9Il7mh+ViQ/y3RNnLw/512edjdqoqp63Gc70u5GZunbpYE+714r8fshiyn+EI/k56Xavqq+euRX/BeE3Ti0KfZtiL3gpXifl0r9SRPl7y9L7ysqVHWD1+f6En1VVRH5NXChiPRX1bV+O2cYQRGRJuBCnMKQj6bcHV9cNHpWt+vnjt8ZxbG8yr5Xam29V4ukUvuDyD00VgV9P1w4aqbZXAPgN8qZJcnPcjRfVV9Luw9Zwv2cpVWJP42sAleAs/w5DUtckXwrFJksfoQfsiHHQbdxzkLfs0SQ38adQHfg7Ij7Yhi1OBsYBVyft5OEqiY+tetHcIOkvydBkHX38EZqfljJd9Py603y88b8KeGrH0clsGmvjffTfp4l34iOJ2+6JDELTkO40146EFU6f5aI8z0tmDopG2s9ckLzwmVVb36IslJ/kmwc2uT5Vu94LcLnEuQ38jfgJZx10oaRCIUt9b4BLARuS7k7qeNVPP2KbhZkP025Lxb7epb7i0bP6pZ2H7JI2sJQi0aS/CxHSfNWhC/pWhxJjqMo2urbFU3coB6EP4n3kIfaMMWkuc2eF5EPKvxeyJrwJ009FOTzu0YfVd0lIj8HvioiB6nq8hj6ZRilvA84Bvj3vFZqvWj0rKbr545PJbJfa71+McWCHSalP0h7fokiYt+IpJFhUk9sGzWMlnlLE23PD3mXfCP/rBvZI/Y0/qxOzJUT5SxPXEHjFttLiw2H9Kwp237l3X3+jpFDPT2/76ItVVP5i+mzbFdDRMuzzqILL23iy5f4ek3Qv9rPC6/9ZMDXG4ZnRKQFuBqYB/wi5e4EJurlBn4kNagQB42uezle0ONGGblvRC4aPSuXexdnKX0fkkvhN8nPFnmL5rs8edMlvgM7YVk3skdsMp5Vya+EGykvvWWlT0kRxfd4XkhLjP1E+P1U/2/kyH5WCOIRgb74VXW+iDwG/IeIXGvRISNmvgAcBpxpW23tiZ/CfK4Y+4nuF5NmWr9F7qMjrxkxSeEnEhl3ZN8k34gKVd2ZVvX9KAv1xSX4Qavvh8WrZEeREZD2xMKCqZP2yUOl/XI8e9XFcuRXrstVbajmhcs8Rfctsp8P/K7Nd5GgQUYR+SRwC/AeVf1ToIMYRg1E5GDgOeAx4Iy8FeErxw3zTo38Pfitwh9U9pPE5D568l5pX0Ra2to7QtmC1/W4fqQkatkPki1Qb5KfxVTnvEbzXY77bEdmzp9+pT+JCH7Wx0TeyXs0P4joV4uCe4mm+03fL4fXVH6vsg+NV9k+qd2lqpGG6PcAlgCzVfX9gQ5iGFUoFOD7PXAycKSqLkq5S5GQBdF3yZrwm9zHS95FH+DwaeGjKl5kP0j0Mazwm+A7ZFHyuyZO7udn7+KskiXZzxp5GBt5ZcHUSU15D9SISPOYyzp8Z5VWkv2kRB9M9sOStugHlXwIvkYfVd0K/Bg4W0QOD3ocw6jC+cAZwFfrRfIhnjXSQdecR7EFXVjCrrlvhCr5UVAPkh8VXi7og0QQt40a5kvW3ef7fZ1LPUp+VqkHyTeqE1X1fWNv8i75EP2yNy9S7VXQjfpl0YWX9gnz+sARfQARGQwsBm5V1fPDdMQwihGRNwOPA4/iLA/ZmXKXIiWOqL5L0Oi+S9xR/qgmFkzsvXPR6FnN9TSGkorqQzTriqOmngU/i9H8vKfsFyMiTePOv7ZuvguiJk9jJS/kPWW/mKDr9NNO4beIfnjSiuqHieZDiIg+gKquBG4EzhWR4WGOZRguIrIvMAN4DfhkPQlKEoQV4Ciq2pc7VhTHtOh9MGwM7Y3XC/qsVfeuZ8nPIl0TJ8e/x2iCWPHk6lhUP1oWTJ1UVzb47FX5nLSIagmAkSxhJR9CRvQBCoK/EPiJqn4+bIeMxqZQ++E+4J3AeFV9OOUuxUacUX0IH9nPAib04anXlP0ko/qQfmS/UQQ/axH9eormu4hI93HnX5utX3SGyOvYySL1FM13yWNUP+qIfqNF812SjOovuvDSSDIxQ/+lVPUl4Ec4W+3ZWn0jMCLSBPwMOAWYWM+SnwR5lmSL2kdDvUp+VPi5oI9zT/Co2zVRiYZ6lHwA26bWSIJ6lHyIJ6of53p9W+efT6LKxAwd0QcQkUE4Uf0/qeqHQx/Q8ISI7AMMBvoDowDB2YruNWBlnk7mItId+D/gk8BXVPXqlLuUCHFH9V3yEt03uY+Oi0bPyn2V41pEEdUH/+m6cUf3g04o5E3wS6P3PV5qyUxEv14l38Wi+pXJ2zjKIvUq+S5pRfVdvET3/Qq+RfOrk2Q0P4qUfZdIRB9ARKYA7cBJqvqXSA5qALu3mRsNHA+MA44CDsOR/Erswtn+cC7wD+AJ4DFVXR5vb/0jIj2BXwFnAlcA36l3QXERkb7Xzx2/Pom2sir7JvfRc9HoWd0aYS1uVKIPwdbmRin8YbIF8iYmWZH5StS75LvYVnuVyduYyhL1LvkuQWS/muiDP9kvpnnhstCRey+ib5IfP1FKPkQr+r1xosmbgGNUNdtn8owjIv1xtpY7EzgNGFR4aB3wT2A+zo4HK3Ai+AfjRPSXAAOAocBI4AhgDOBu6fYiMAv4EzBTVRORzEqIyKHAHcCxwBdU9Ydp9icNkorqu6Qt/Cb28XLR6FktecrmCUvasl+MX/EPuxQgbzKSdcEH6Jo4ue4zYVxERMadf23dTwgGIW9jKys0iuSDE6gZc1mH72vouGQ/DBbNr0yeJR8iFH0AETkLuBtn3/PpkR24QRCRXsAHgE8Ap+PI+WocKX8AeAR4wW+kTkRagKNxCtydUrj1BXYAD+H8ze5S1cWh34S/fn0Y+ClO9sF5qvq7JNvPCiIi188dn8rFVlLSnzW595rWLiJ9rp87Pjf7ZzdCun4pUYo+5KPqdpoSsmDqpMGqusrLc0VkQFt7xxrIh+Q3SiS/GIvqlyeuMbZg6qR9vQRYRETa2jtyNQnTSJLvEkcKPyQr+3mS/OeuntRTVV+v9TwRaRpzWUcka9yTEv04JB8iFn0AEbkTJxL9ZlV9MdKD1ykicgzwORzB74sTlb8DuBN4POoU3MJ6+ONxsgXOxlkWADAH+C1wF/BMXMIgIocB1xba/hvwb0lPMmSNpKP65YhS+rMk9lGnsWfhb1WORi681yiyn4bgR3nxLiJNrZ3TM7nVYyNKvovJfnmiGG8Rj5/ube0dmZwxa0TJB2dCZsxlwSZkask+xCv8XgUf0pH8566e1F9V10V1PBHpPeayjo1hjhGH9C+68NJ9VDW2wj9xiP5QnNTyF4F3NFIKqR8Ksv0h4MvACcAWnHXq/wc8nOT6WhF5E04mwfuBd/DGEoDfA38AHlDVUIOj0M5hwBeBzwNbgSuB62yZh0NWBRLKTwJkSeZLSSqyLSIt188dn+6+azS25IMjkG3t0czeF5MV4U9a8JO6aBeRvq2d01NdPgaNLflgol8LP+NvwdRJ+6vqazF2ZzdRT3AGYcHUSQ21VKwcQaP6kI7s+xF8SFbyvUbsoyDo3y1K2V904aWxX6tGLvoAInIOjrR+W1WviLyBHCMifYD/AC7GWVf/IvD/gJuTOjlUo7CDwpnA+3BqA/QGtgOP46T5PwY8oaqrPR5vGPAu4FzgVJzlAj8DrlDVFZG/gRwjIvtcP3d88ouz6oSLRs/qrqo70mo/jSUYjS74xcR10Zum7Ccp+AumTkp12YeINLd2Tk9UGBpd8Isx2fdGpTGZdkRbRHq1tXdsSrLNtN9zlohb9iG88PsVfEhO8uPYstAPIjJgzGXOMrNKRCz4fVQ1kfEai+gDiMhNwL8D41X1gVgayREish9O9P5CYD/gYeAa4PdZrY4tIj1w1vWfBrwbp2Bet8LDLwPzgEU4BQE3AccAa4CdOMUDjwMOKTz/JeDHwE0m+JXJclQ/q2RVduP8WzZawT2vxBnhSlL4kxT8LF6si4i0dk6P7bzYSAX3/GCy750NrcKCqZNiTbkNSlwZTi5Z/M5Im7Brwr3KvotX6Q8i95CM4D939aRM7g4kIj3GXNaxR1ZBlJIf11r8SsQp+n2AvwMDgbeo6qJYGso4IrI/MAlH8vsCv8PZPu6vqXYsAIW/6XG8scVfGzACR+q7FT31NZwigs/jZAE8BPxDVTO5NjNrmOzX5qLRszwVNMoKItJ0/dzxoT//WZ3UyBJxp7PGJfwJR+9zNVEkIi2tndNDC5VF8KsjIj3GnX9tImmzeebJmy7J1USRiPRpa+8IVVR2wdRJvVTVMg6rECaqD/5lPw6SEPy0o/d+OfIr12lY0V904aXNaTlQbKIPICJtOCnfy4AT8nRhHpZCBH8STgS/DzADuFJV/5Fqx2JARJqAXjhLEZaqam6qlGeRqKSwHrlo9Kwe9VLTodb6/otGz2oFlqe5HCGPJLluNaj0p1U1P+30/CgRkT6tndMrnmu6Jk4+EFiVxYhRlrGofmX+/pNJuRKUaojI4Lb2jorZlQumThoIvFov3xdJEVb2IT3hj1vy8yb4lRARAYYfcsM1iys9Z9GFl2YmGBWr6AOIyKnAfYXbB/MURQiCiPTFkftLgX1xBP+bqvpsqh0zckXetnWLm7TX3xv5IgtFqrJEPQm+ET8m+3tST4JvxE8Usg/JCb8Jfn0Tu+gDiMgFwA+A24BP1+MFu4j0BL4ATMZZrvA7YKqqzkm1Y0ZusRR+E3wjOCb7JvhGcEz2TfCNYITZcq+UOGXfBL8xSET0AUTkMuAq4BZgYr2s1xaRFuAzwBTgIOB+4Ouq+rdUO2bUBY0q+1ZszoiCRpV9E3wjChpV9k3wjbCISPcxl3VEtswwKuG3NfiNR2KiDyAiXwO+Bfwc+Gye19qKSDPwKeAbOAXpHsXZMu6hNPtl1B+NJPsXjZ6V2B6qRmPQSLK/YGo2qxgb+UREZNz51zbM58kE34gSEek95rKOjXEc24v4J7U1nosJfjZJVPQBROTrwDTgAeDDWdg73g8i0g34GDAVp+r8kzjR/PssgmLERb3L/kWjZyW2p6jReNS77C+YOim1ir5GfdMIsp+3KvpGfhCRXmMu66jraxsT/GyTuOgDiMingZ/g7MF+lqq+mHgnfFKI4P8b8HVgFPBPnGj+b+0EYSRBvcq+bRlnJEE9yn7etskz8km9yr4JvpEEIrLPmMs66m5rQhP8fJCK6AOIyInAb3D2X/8CcFsWv3BFpAfwaeBy4E3As0A7cKelSBpJU0+yb4JvJE29yP6CqZNsiYuRKPUk+yb4RtLUU2TfBD9fpCb6ACJyKPAL4O3Ar4AvqOqa1DpUhIj0B/4DuAinyN5TOPUFfmuCb6RJ3mXfBN9IkzzL/oKpk/ZR1a1p98NoXPJcoO/Jmy6xGhZGqkS19V4amODnk1RFH3anxF8GfBN4FSdyfkta6w1FZBTwX8BEoA/wZ+C7wP02A2xkBRFpun7u+FytyTXBN7KCiPRua4+nSFIcmOAbWSJvsm+Cb2SJvMm+CX6+SV30XURkLM66/eOAuThr4X+ThFyLSC/gQ8BngZOBbcBtwPWq+nTc7RtGULIe3b9o9Kxeqlp3a9OM/CMi0tYezV7HcWFV9I2sIiI9xp1/baaXj1gVfSOr5EH2TfDrg8yIPjgXXsCHgSuBw3HS5X8M3K6qayNuax/gVOCjwAdxovf/Am4Efqqqq6JszzDiQkS6Xz93fKa2qrxo9CwTFCMXZDGVf/4Uu8Ay8kEWo/sm+EZeyKLwm+DXF5kSfZdCOv+ngUuAMcBW4Lc4UfZHgqzjF5EmnGr5pwCn40h+b2AtcCdwC/CwyYmRV7IQ3bf0fCOvZEH4TfCNvJK28D950yVWoNLIJSLSNOayjlSXYj53tW3RWq9kUvRdChH+Y3HWy38C2L/w0IvAbOAZYDXwCvA6TgX/1UAvYBBwMHAYcCRwDNC/8Pou4F7gd8AsVc1UNNQwwpC08F80elZ3Vd2RZJuGERdJC/+CqZOsArhRNyQt/Ba9N+qFNITfovf1T6ZFvxgRacGpzn980b+DPbx0I/A88DTwOPAXYKFdWBn1jog0Xz93fCx7bF80epbN/hp1TZwF+0zujXonTuE3uTfqnbhS+p+7etL+qvpaHMc2skluRL+UQrR/P2BA4XYUTtT+L8BrOJH9pcAqu6AyGh0Rkevnjg+8LMWi9kYjIyJNbe3BIy1WVM9oZESkZdz51wbeNcLE3mhkRKTPmMs6NgR5rYm9kVvRNwzDMAzDMAzDMAxjb5rS7oBhGIZhGIZhGIZhGNFhom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmEYhmEYhmEYdYSJvmEYhmEYhmEYhmHUESb6hmEYhmEYhmEYhlFHmOgbhmEYhmEYhmEYRh1hom8YhmdE5HAReVpENojIl9Puj2HkBRs7hhEdNp4Mwzs2XhoXE33DMPzwFeBBVe2rqt+LuzERmSYi/xSRHSLy3yWPfU1ENhbdtojILhEZWHj8KhFZIiLrRaRLRK6o0s4pIrK0zP0PishnI39jRiOS2NgRkUEi8ksRWS4i60TkURF5W9HjpxTGSvH4Oa/o8WtE5IXCReE8ETm3Sls2dow0SHI8DS8ZKxtFREXkkqLnfElEFhXON38XkXdWOd5iETm15L6JIvJInO/DaGiSvnZbXLgmc8fLn0oeP0BEbhWRtSLymoj8ouixj4rIYyKyWUQerNGOnX9q0DCiX+6LNW2KBsLPU2i7R2HwbReRK5Nu38gtrcBzlR4UkW4Rt/cizgnq96UPqOq3VbWPewO+i3MiW1N4yk3AKFXtB5wAfEJEPhRx/wzDK0mOnT7AE8A4YH/gZuD3ItKn6DnLi8ePqt5c9Ngm4GxgX+A84AYROSHC/hlGWBIbT6r6Usm55ihgF3Bnoa23AdOBc3DGzE3Ab2I4HxpGUJK+dgM4u2jcnF7y2K+BFYV+DQKuKXrsVeB6nDFlhKRhRD/DnK2qn3b/IyIjROSBwkzWvHKTEyLyYxH5T3G4QkReKswi3yYi/Yqe10NEflp4bIWITHIfU9WthRPWL0qPbxjlEJE/A+8C/rcwSdQmIp0i8gMR+YOIbALeJSIHicidIrK6EOH4ctExehZe85qIPC8il5WbjXVR1ZtV9V5gQ42+CfBpHKFxXztfVTcVPW0X8KZg7x5E5O6SiM4uEZkY9HhG45D02FHVf6lqh6q+rKo7VfXHQAtwuJf+quo3VHWequ5S1ceBvwDHh3j/NnaMyEjjXFTCucDDqrq48P8RwHOq+qSqKvAzYCCOwAR5f/9WMl621opsGkYlMjBeSvtzOnAwcJmqrlPV7ar6tPu4qs5U1TuA5eHe+e72Gvr8Y6KfPX4JPA0MAK4AZojIASXPmQD8Aedk82ngHcBBQE/gf4qe99/AYTgzZu8CviIiE+LsvFG/qOq7cS74v1iYoV1QeOgTwLeAvsBjwN3AHGAoMB64SETeU3juN4CRhdt7cKKFUXAiMJhChMVFRCaLyEZgKdAbuDVoA6q6e3YaJ3KzApgVvMtGo5D22BGRo3FE/8WiuweJyMrCBd11ItK7wmt7Am+hSjSoFjZ2jChJezzhXHsVZ8DcC3QTkbeJExn9DPAMzufcN6p6e9F4OQj4F861oWH4JsXx8ovCpMGfRGRs0f1vB+YDN4vIKyLyhIicHO5dVqbRzz8NKfoi8lYRmS3O2pCXReR/RaSl8Nj/E5FrS55/t4hcVPhZReRNRY91SiH1XQprRcRZO7xGnNT8T/roVxtwLPANVd2iqncC/wQ+XPScNwNrVXUpTmrlTaq6RFU34qQu/5uI9Co8/Vxgmqq+pqpzgRuBib5+WYZRm7tU9VFV3YWT0niAqrar6jZV/RfO5+5jhed+FPiWqr6qqkuAqNaKnQfMKIyD3ajqdJyT2LHAz4F1VY5xUOE7YfcN2GudZWGc/gz4t8J7MIygxD52xMny+jnwTVV1P//zgKOBA4F346T4d1Q4xA9xLv7+WKUZGztGFkhiPLmTyjOK7t6AM8n8CLAVR4r+sxDdr8RvS8bL98u01YQzOf2gqv7IS/8MwwdxjpdP4mS6tAIPAH8Ukf6Fx4YBpxfuHwJcC9wlhfpKAbDzTxUaUvSBncDFOKlVx+PMXH2h8NjNwMcLX7AUPnjj8T6bOqRw3KE48vFjEfGULgmMAf6lqsVpynMK97u8lzfWK0vhRtH/ewCHich+ODPBc6ocyzCioPgLs5WSL13gazgXRuB8Jouf3xW28ULE8SPsGWHZjTo8DWwBvlnlUMtVtX/xDefCrbitfYG7gCmq+pewfTcanljHTmFs3A38VVW/496vqitU9flCav4inDoY55R5/dXAkcBHa0iLjR0jCyRxLjoPuLNkUvmzOFH8MTiZM58C7hGRg6oc5wMl4+ULZZ7jRlutSroRB7GNl8IEwhZV3Vw496zFybwE51pssareVEjbv61w7HcEfB92/qlCQ4p+YR3VX1V1R2GN1Y+AkwuP/Q0n6je+8PSP4cymrvTRxBR11sA/hCPlH/X4uj7sHXFch/NF73ImTto+OOlinxVnXf++wOWF+3sVjuW+vtKxDCMKigVgCbCo5Eu3r6q+t/D4yzhrs1yGR9D+h3CKtzxY43nNOGlngSiKrjxg0RUjImIbOyLSA/gtsAz4nId+FE8aIyLfBM4ATlfV9TXfSfW+2NgxkiDWc1GVSeWxwN2quqAweXZf4fiBC1iKyMeAjwPnqOr2oMcxjCokee1WfI75R0nbsdLo55+GFP1CIYp7xClQtx74Nk4U3uVmnBlZCv/6qYr/mu5ZAKwLZybMCxuBfiX39aNQiKyQ9jIKZy0NwE9xMg0exFk/+UDh/qWFY7mv3+tYhhETfwPWi8jlheIt3UTkSBF5S+HxO4Cvish+IjIM+FK1g4lIdxHZB+e7qllE9pG9q8OeB/ysOOIoIk0i8rlCOyIibwX+i3Drsr6Fs87/whDHMIxKRDZ2RKQ7TmrxFuDcQmpm8eOniLNlmIjIwTjVje8qevyrOOs3T1PVVyJ4bzZ2jKSJ9FxU4IM4kckHSu5/AjhTRA4tjKnTgDbg2SAdF5FjcOotfUBVVwc5hmH4JMrzz3AReYeItBSu2S7DcaxHC0/5DbCfiJxXaOccnCzoRwuv71a47msGmgrH6B7ivTX0+achRR/4Ac4axcPU2Xrra+wZzbgFeL84xSNG40RFXDbjRMxdhpQcez/Zs6jRcLxXjnwOOFREiqPuY3mjCNJ7gFmquhOgMHP8DVUdoarDCs9bBixT1ddwZuDGVjiWYURO4bN5Ns7630XAGuAnOFsOgZM631V47E/UnkS7EUdWPo5TnHILTgFKAERkKM4a45+Vee0HgYU4k1u34Fw4/U+Z53nl4zhFZF6TN6q3eq7BYRjViHjsnACchbMOcm3R59VNnTwWmI2zjd5jOEJSnB78bZxz1wtFr/1aiLdnY8dIlBjORVBmUrnAz4DbcIIu63HWL39OVecF7P77gf2AR4rGy70Bj2UYNYl4vPTF8azXcJxkAnCGO2msqq8C7wMuxck0ngy8X9/YGvnTONd6P8BJ99+Ccy0YlIY+/0j1ZXf1g4gsBj6rqjNF5G/APcA0nO2G7gJWq+o7i55/P87alL+r6meK7n8Up3rlFcBpODNT16rq10XkFGAmzv6PXwPeBtwHjCv3hV/cp6L7/oqztuTrOGmT/4czIbFaRH4GzFTVnxWeuz/OyeBfOBMSdwDfU2crJURkOk4Ngg8U3ssDwL8X0src9jqBpar6dT+/T8OIgsKYuaUwUWUYhkds7BhGdNh4Mgzv2HjJD40a0b8UJy1xA84s0e1lnnMzThXK0lmrC3FmvdbiVJX8bcnjK3BmsZbj7FF/gc9Z3Y8BxxWOMR1nfdZqERGciYX7ip47EGe9/iac9fo/dSW/wDdwIppdwEPA1cWSbxiGYRiGYRiGYdQfzWl3IClUdUTRzw/jrHUvZmrJ/1/CKU7xUMlx/k6NyvWq+i2cNSG12Ar8WkR+o6rnFV67GDilzHPfAixR1VVF7SzAyUio1I+tOJVgP1P6WKFQ00qgO3CVh74ahmEYhmEYhmEYOaBhUvf9UCj6cBswR1XbfbzuFGJKZSkUExugqrZOyzAMwzAMwzAMw6hIw0T0vSIio4G/4+w5/+8pd2c3hW3/DMMwDMMwDMMwDKMqFtE3DMMwDMMwDMMwjDrCIvqG0SCIyH6tndNf9fu6romTD1TVFXH0yTDywoibvxtoVrxr4uT9VHVtxN0xjNwgIjJh0AW7grz2vlU/7KWqW6Luk2HkBRHp1tbescPr87cO37b7566Jk7urqufXGvVHbiL6harzo3C2i3vHEUcc8Zn58+ezc+fOiq9pampi+PDhLF68+A/A08BfgUcLe8wbRl0jItLaOT3QxVUtFp93ucRxXMPICiLS3No5fXscx7bxY9Q7ItJnwqALNkR93PtW/XBfVV0f9XENI0scPu26QHJWLPnl6Jo4uYeqVn+SUVdkXvRFZARw3iGHHPLfixYtAmC//fbjrW99K29+85sZOHAgAwYMQETYvHkzra2tvP7666xevZqlS5fy4osv8txzz+FOCogIxxxzDE899dQ04HfAk5r1X4Jh+EBEerV2Tt+UVHtdEyc32Rgy6oWgkfugmPQb9cQZgz+f6Pi5d+UPbPwYdUNQwYfakl9K18TJ/VQ18sk4I1tkUvQL0fuzTjrppN89/PDDiAgnn3wyH/nIR3jHO97BYYcdRlNTk69jbt68mSeffJKHH36YmTNn8re//Y1du3YxfPhwXnrppenAz1X1+VjekGEkQNKCUg6TFiOvpD1+uiZO7qmqr6fZB8MIStKCD7Bj5NDdP8+cPaWbqsaSwWYYcSIi0tbeEfqz61f0i7Frt/olc6IvIie//e1vf/Cvf/0rI0aM4LzzzuPjH/84ra2tkbazZs0a/vCHP3DnnXcya9Ysdu7cydixY5kzZ85ngdtUNbGIqGGEIc4U/aBYlN/ICyLSo7VzeqYE2y66jLyQhuC7FIt+Mfc/9nUbP0YuCBPBLyaM5BfTNXFyH/Of+iIzoi8ih5x++un/+tOf/sSBBx7IFVdcwbnnnkv37t1jb3vVqlXceOON3H777bzwwgv069eP9evXdwD/o6qLY++AYQQk7ShkLbomTm5W1cqFNAwjRXIwfmzCzMgkItI0YdAFqX63VxJ9FxN+I6uISM+29o7NUR0vKtEvxiac64PURb+Qpn9+nz59bmxqamLy5MlccMEF9OzZM7E+rFy5EgBV5YknnuBnP/sZ9957L6rKrl27ZgDfUdWnEuuQYdQgi1H8anRNnGyVk43MICItrZ3Tt6bdD690TZxsaclGZkgzil9MLdF3MeE3skRUUfxi4hB9FxP+fJOq6IvI4DPOOGPFvffeyymnnMKPfvQjhg8fnng/XNEvZvny5XR2dvLLX/6SDRs2cNJJJ/Hwww+fqKqPJN5Bwygi6WJ7UWLrkI20yXoUvxom/EbaZDFV3ysm/EbaxCH5EK/ou5jw55PURF9E3jxs2LA5a9as4corr+Tzn/+87wJ7UVBO8ru6unb/vHHjRh566CFuuukmXnnlFY4++mieeeaZU1T1oST7aRiQb0kpxoTfSIM6Gj8m/EbipB3JDyv6Lib8RtKISLe29o7Y9rNPQvRdTPjzRSqiLyJn9unT555+/fpx5513cvTRRyfeB5daou/y+uuvc/fdd3Prrbfy6quvcswxx/D000+/U1UfTaKfhlEvklKM7elqJEWdjh9bw28kQr1IfjEm/EYSiEhzW3vH9jjbSFL0XUz480Hioi8iFzQ1Nf1g7Nix/OpXv2Lo0Oi/vP1QTfSfffZZAI488sjdP2/bto1HHnmEP/3pT2zYsIHRo0czd+7ct6rqE8n12mg06lFSiumaOLm7qsY22200NmHGz4hhqz0/d/HSA4I2EwoTfiNO0pZ8iEf0XUz4jbgQke5t7R2eLLxvV/VhtqG1/Mc0DckvxoQ/2yQq+iLyOeCH733ve/nZz35G7969E2u7El5Evxzbtm1jxowZPPnkk7z++usceuih/Otf/zpKVSu/yDACUO+SX4ylJBtRE3T8+BH8UtISfrvgMqJERGTCoAsy8X0cp+i7mPAbUSIiLW3tHTWLvtYS/GLKyX7aou9i559skpjoi8hngJvOOOMMfvnLX9KjR49E2q1FqegXp+0Xi/78+fPLvn7btm08/fTTPP3002zbtg3gDuDrqvpCDN01GoxGkvxiLEJpREGQ8RNG8Esx4TfyTBYi+S5JiL6LCb8RFhFpamvvqLr9pB/Bd8my6LvY+SdbJCL6IvJvInLbqaeeyh133ME+++wTe5teCSL6zz///F7H2b59O4sXL2bJkiWoKqraCfy3qu694N8wPNCokl+MCb8RFL/jJ0rBL8WE38gbWZJ8SFb0XUz4jaDUqq7vRfL3XbiVdSP3DooWy34tyS89ryV5LrLzTzaIXfRF5K09evR4/LjjjuPuu++mZ8+esbbnF7+iX07yi9m6dSuLFy9m6dKlAKjqj4ErVXVJRF02GgAR6dHaOd2q0hcw4Tf8kCXJd0lL9sEuuAx/ZE3yIR3RdzHhN/zgV/L3XVg9u79U9r2Kfq3zWlLnJDv/pEusoi8iw4YMGbKkR48ePPLIIwwcODC2tsLgRfbLRfTnzJmz17HGjh3LnDlz2LlzJ5s3b2brVmcAF4T/W6r6UtT9zwoi0mwF1cIjItLaOT0T6yKzRj0Jv4gIMKCtvaPs2XjB1Em9VXVzwt3KPSLSs7Vzuqffm1fBP23IvIqP3b9ilLeOFTDhjwYRaQKGtHZOX1bucdvRIxhZlHyXNGUf6kv4RaQ7MOTU46ftdU06c/aUg4GXVbVq6rmxN34kv5bgu/gV/SAT10mcl+rs/NMTGNzW3rEI9vw7dE2cPBhYnZVr1dhEX0R6HHvssa8vWLCABx98kDFjxsTSTlQUy34Y0S+ljPB3At/O4xr+woXVaGAccBRw1FFHHfWeVatWsW7dOl5//XV69uzJsGHDeOGFFx4H5gAPAw9bRoN3LGW/Nnm8iK91AVCLBVMn7a+qr0XVn3rFz/ipdkFUTe4r4VX605R9yN+EWRSTn10TJ/dUVcuSqoKINE8YdEGs24CFIW3Rd8mb8ItIt1OPnxYqCDNz9pRmE//qRB3JL6ZY9iuJfhSZaSb8eyMi+7S1d2yp9pxaSyjSPOfGKfrXAxfecccdnH322bG0ESW1RB/Kp+97kX14Q/i3bdvGrl27GDRoEKtWrTpeVf8atu9xUYg4HgmcPmHChGtmz57NunXrAOjRowcjR45kxIgRDBkyhF69evHMM88wYMAAmpubWbVqFXPmzGH9+vXA7kyHC4BbVXVDam8q45jk+yerJw0R6d/W3hGLmC+YOsl2JyhDmpLvkhfZB+iaOHkfVfV+tZkgcX4XZvU7I20smu+PmbOnZPZ7+LQTroztb5m3iY4kEBFpa++o+lkIEs13KSf6UUu+S6On9Hv5Wxbjtxhi0u87FtEXkdOBP37uc5/j+uuvj/z4ceHKfrHoQ/iofjG7du2ib9++LF26lB07dtCvXz/Wr1//KWBGFi64Cuko44H3H3TQQZ9dvnw5AG1tbZx44om8/e1vZ9y4cRx22GE0NzdXPdbOnTt59tlneeihh/jFL37BP/7xD/r27cuGDRu+i5PVsD72N5QjRKS5tXN6ZqMpWScLUcqwUXu/zJ9ycSZPlGmQBckvJk/CD+lfdKWxZCnt95wlsiz5kE3RLyZt+RWRplOPn5ZoxD3t95wlwqbst8x9I+l12+iD93rcFf04o/mlJHVu6po4ua+qbkyksQqISI+29g7fGV9Bdzzomji5e1JLnSMXfREZOGTIkNX7778/jzzySOaK71Uj7qh+MWPGjGH58uUsXbqUzZs30717d7Zv334dcJOqPheg+4ERkQHAmcBHevXqddbmzZvp27cv48ePZ8KECYwfP55hw4aFakNV+dvf/sb3v/997rjjDgYPHszKlSvPBzqzOiOeNBbNj46kLuD9zvzGRaMLv19JrHRRFJXku+RN9gG6Jk7eN6lJ2CxMblpKP4hIrwmDLtiUdj+qkXXRd5k5e0piy8pEpNepx09L9e82c/aU1CfY0yZsyn6x5LuUyn6p6JcKpp9zmp+6Mkmfm7omTk4sSyaKwEzYrQ2TuFaNXPTPPfdc/eUvf8mjjz7Km9/85kiPnQRBZR/8C//YsWNRVV599VWWLl3KmjVrUFX69OnDxo0bJwN3quqLAd5GVQop+aOAM0888cSrH330UXbt2sVBBx3E2WefzVlnncWJJ55Ijx57b+sRBU888QSXXXYZjz/+OKeddhr333//IFWNv+x1hjHJj4+ov0jjTMkPQyPLfhTR/KglvxgvF1ZZkv1ioh4/Wf2ua+Toftaj+ZAf0S9m5uwpkUYqRUROPX5a6hPL5WjU6H4UKfu1RN9v2r6fc1mWz01dEye3qGpkE8Ei0q2tvSPyKHpY2e+aODnW+heRir6InAw8eNlll9He3h7ZcZMkaAV+lyCy77Jt2zZWrFjBihUrdq9t79WrF5s3b74BmAU8pqqv+GqA3WI/AngncOrQoUPPXbbMKVR85JFHctZZZ3HmmWcybtw4nKfGj6py44038pWvfIX999+fl19++WRVfTiRxjNGWlX2q6V6ZVU6oqBr4uR+XutEiEhTW3tHbgoQNaLsi0jv1s7pni+my33uvV4YndPvqT3+P2P9sV6bzfQFlR/8rOsXke6tndNzUzSzEWU/D5IP+RT9cvgpapeFiL0fGlH2vUSFq4l+kGg+VBb9uIrIZuXc5GeJpojs19o5/VX3/z1eaomlT2FF3yWu809koi8iPQ4//PDXt27dypNPPkmvXr0iOW4aVIrqQzyyD3sKP8CWLVtYvXo1a9asYe3ateza5Xhgz549Oeigg1i4cOF0YDHwMrAWGFR46WpgADAUGHncccdd+OKLL7J27VoA9t13X97+9rdz1llncfrppzN8+HDffY2SOXPm8KlPfYquri62b9/+UVX9VaodSoEkI1xB13Fl5Us+buI6ESRJoxXqSyKaXyr4xXiV/Tym8Vej1liJ6uInaRpN9k30jShpJNn3Uo0d/Il+JcmH6KP5xeRJ9kvPPV7PNVkXfYjn/BOl6F8MdPz2t7/lPe95TyTHTAsvUX2IXvbLMXbsWHbu3Mn69etZt24d69evZ+PGjbz++uu75b8S++yzD8OHD2fkyJGccMIJjBs3jsMPP5yDDjookr5Fxdq1a/nwhz/M7NmzUdX/VNUb0+5TUvjZ8zsMeazImgb1IPoAC6ZOaoh1k34nyYKIfjXJL8aL8NeL7HsZJ3kVfWgc2c+L5LuY7OeDRpF9v9F8qFxtv2XuEt9F+KKSfJe8yH7x+cfveSbqa7w4znORLzeN4lpQRPrvv//+rx177LHcfffdEXQrfaKQfYhW+IsZNWoUmzZtYtCgQWzevJmlS5eiqhx88MG8+c1vZuDAgey3336ICK2trbtfN3jw4Ej6EzWbN2/mE5/4BH/84x8BPquqN6XdpyRIIpofRzVWlyx86UdJvYg+NEYaf9yi71XyXRpB9v2MEZP97CIi3SYMuiCRqs9RYJKfL+pd9r0WcvMq+uVIKppfTNZlP4zkl74+KrIu+00RHeerr732GldeeWVEh0ufakJ85JFH7v758MMP3/3zEUccsddzx44du5ekB6F4wuCII46gqamJ4447juHDhzNq1CguuugiLr74Ys455xza2trYf//9GTFiRC4kH5xaBHfccQennXYa3bp1+4mInJl2n+JGRPqk3YewjBi2OtaJhHqkb5eWvUVN0lv9JU1Wi7rVIs6if3FTTxNhtcjr58sreZJ8I3+cdsKVdT1+glIs716fVxzNd4lD8r2ShWu+PE8ie6Gw1XkkhBZ9ERm8zz77fOVjH/tYJEKbJYrFuFiYYU/ZL6ac7MMbwh/V76h4gqG0L62trXv1N8uS79LS0sKtt97K2LFj6dmz5z0ickzafYqT1s7pngrChSGpL2RX+LNwAsgSfoQ+DvGvd9nPGn4zAKqRtbEURPLzPjFQr7IvIt3S7oNR/9Sr7Ic9r9aS/UqSn4TcZnki2j2fhPk95GWCoLVz+maJqDp6FBH9Sdu2beNrX/taBIfKNuUEGvaUbqgs+y5hZL/02EceeeTuflUS/DxIvkufPn349a9/zf77788hhxzylIjsm3af4kBEesfdRlqikFfpj0pKopL1qI5Tj7JfrwJWSpbGUF4ukKJGRLqn3YeosWi+YaRLJdn3GvEvplaNmeJb3snieSiuCe2oduMKJfoisl+fPn2+8t73vpc3velNUfQnc/hJ4S9N468m/GEi/G47ruSX62feBL+YwYMH8/Of/5wlS5YA/CyqWa0s4Wc7sDyTJ+kPewKJKwXfPXYY6nEMJYGf7fP8PN9P1CQPY6caeY/q52l7QC/Yd4GRJPUW1fc7cV4u7d5l3cgeu2/u/yu9ttrafK9EeX5K47yURcmHePsVRVAjbET/8xs3buS//uu/9ipeV8+Ui+q7lIvuxxHhL55kcIXelfu8Cn4xxx9/PNOmTQN4H3Buyt2JFBGJqjZGrsiL8AchLsEvbSNoO23tHXWz3V7S0Xy/sh8HeR83eZf9esogmTDogrr5LjDyQb3Jvl+qyb5LNcmPgjjOY3k9L2V1wqASIuI/zaOIwMIhIs0HHHDAt8aNG8fo0aOBvSvVNwJHHnnkXmvkS2UfvEf4qz1eSrUJh3rgy1/+MieccAL9+/fvFJED0+5PVLR2Tt8ZdxtZ/gLOcpTf7wnAr3zvu3BrxZufNoNQjyn8WSILEwJGfERZHMkwjPyRVJCmVPLDiOmM9cfauakMeZL91s7pr4d5fZgP7ftXr17Nhz70oT22nmtE2Ye9C+K5qfyVIvyVxL+a8B9xxBF7Ha8eoveVaGpq4oc//CGvv/46wPfT7o8RPcXSn0XxjwKvMu9H+pPIIMgicRURq7WlUK2LpSQupPI+PvIe1W/tnL457T6E5YzBn2/MLw4jdeohqt/W3hE4SOM1Qh91JN+oTJ5kP0xWWXPQF7a1tc1YvXo1xx9//F6PubJfDxJaaeKitbV1jwmOapTK+fz583f/7Mr+888/v8dzXNkv3lbPpVLF/3rksMMO4ytf+Qrt7e0fEJGTVPXhtPsUhnpKAY2DYplJa6/WrcO3eZKSWrLtJ0pf6bXVCvP07VLfFwWHT7tO50+5OLdXEq2d01MtImaRkcZmxM3f1Sj3Nza8sWPk0LS7kHs2HFI+IaXvoi2J9UFEmlW1YQtBbmiVqtcNXs7neZ/wzRper/eq0eOllkxPGgSK6IvIiAULFvCOd7yDuXPnAtDV1bWX+K5cuTK3Ef4gffcq4JUi/eWoFOGv97T9Yi688EKGDRvG0Ucf/VCjrm9vRLIc6Y9T8v0cJ0hkv5HHUFqTR1GRxbHgh7xH9fNMI4/7RmLDIT3L3vw8Py5OPX7a9tgOHjNRLX3zOzmfhkDWynAzghPmujZooDBoRP9TAAMHDgTg2Wef3S25ruwXi+jKlStzEd2PYlLCi+w/++yzwBuRfjfCXym67z52+OGHN1Q036VXr160t7fzmc98BuAc4I6UuxQIEZHWzulpdyOXlH4pZlnYopL84uNFGdkvpB/mLiopIv3jHD/3rxiV6T2EjWyQ16j+hEEXxF4bxkiHqOXcPV4c0X4R6a2qmyI/cI6IOj0/ynNXI0p+FFF9L5RexwbJYBURUVVfwu97hldEpH///tOGDh1Kv379dkuqK68uWY/uu/0pvvnBa9p+OUoL+Pndmq/Slnr1zEc/+lFGjRrFEUcccXteIxNR7YlZi7xH/byQ5Wh/HEQ9eZDHLbZaO6e/FncbebjIyftn3qL6hhGeJCLwcRz/1OOnNcTWwnFRSQjzcO5qZGqdt72e14N4RBBhOnrt2rX069dv9x3Fsl8s/FlL5w8q9aWEkfxivAp/I0fzXbp168bkyZPdbIcPpNwdI0PEUdAvaLqcHyFvmbeUlnlLIzm23xT+etpuzy9ZyAZp9IuyvMt+3mqtiEjgekxG9ohT7iu1F2Wbefs8prVjjd/rkDDnlftXjGro81LYJRLVzmler0vjmsQPIvofBjjggAP2SDEvLjDnVfiTIozcu30vvgWhtbV1j1sx5YTfC1nKkEiCc845hxEjRnDCCSfcmXZf/JLHCGpeyUO0v1jwo5L9eiZJsWrki50kybvs54kJgy7I7dpo4w3ijuAn1X6e1+pngWqT1X6FvdEFP2t4uW71ez3ke1atd+/eV7S0tNDS4pykn3/++d1p5q7su6Lqyn7x+v0k1+4HEeGoovXFlCucV65q/5FHHrnX+v3ix8qRl/oHUdCtWzc+//nPc/nllyMix6nq39Puk1eSSts39iTM2v641m2VE/uWeUvZNmpY5G1VI+8V+OMkzvX6dlH1BlmvVlwNEemjqpaGbCRCmoJfyoZDeiZarb9RCfP9mMR5JgvZcZWoJMzV+hz2mi+r5zNfEX0RGblp0ya2bdvzjTz//PN7RfdLI/wuSUT2/UTwg0br3ayF4lu1NkrbqkSt9PzSSYNGkXyX8847j169egFckHZfjPyR5Ui/n8h+OYJU4G9UvFygxHGhZJK/Nz1easlldL+1c/qGtPvQCDT61nphougbhzZ5ugXtVxhOO+HKXJywRKRf7Wc1HlmW/Gqkcf3n93flpY8i4nkA+o3ovwegpaWFOXPm7LXtW3F0v5TSyvxxRfb9CH4tqsl7reeXCntpe3FkDjQC++67Lx/60Ie46667zheRCxu9emuS1Ipw5kli3C/SWl/AlWZ4K+2Hu25kj5rp9W7kPqzYR0Ee9jUWkW5p7VZh1YyTI6vRkLxzxuDP50KojGgIIu7Fr+mzzHvyYSNE9tvaO9al3YdyLF56QC6kNQr8nhu8FL4L8j6Kr/mi3jnBL62d0zfjcfckv6J/dlNTE926dQOoKfvz58/fIwW9muxHgRfJrybYfsW+GqXLFuKg0aL5Lueddx633HILwAeBW1LuTk1EpG9et9XzIzl5nAgI+oUfBUmn6pejrb1jOxnfaq+1c3qqExFhZT+Ln/ugxL0NUd5kP69b7Rn5wGvUPGhUvtaxvEh/GNkXkSZVtWWNAUla9uO+Vqp2bvF6bvBT+C7M+6m0rXEWz2GeRV9EmkVkQktLC8V1xfzKfjHFsh82ql9L8sMKfvFShHJUeo/Fkxu1qNSPRq62X44TTjiBYcOGMXbs2J+TA9Fv7Zy+Pu0+BCHqNcqlx8uKANWK7scR1TfSx89FkvtZ9TMmsvL5zhvuWMvaxZJhJEkakl/p2LWEP6jsn3r8tJ1kfKI5bWqJo3vdErfwxyn5WVq65Wcyu5LsR4GXiQivE81+IvpjVZXu3bvv9UA52S+mWPb9iK9Xgkp+JbGuJfW1XlMq/V6i+14mG4ozIBo1mg/Q1NTEhz/8Yb7//e8jIv1VdW3afcoKUX3Zx1WIrFYbacpRtS/WrMj+upE9Ij+miLSoqlmVB7Ig73ldG+kXE/7wiIhMGJTfcjaNuj7fi+THKfjl2opL9rNMWtvqBSEO4U8zgl/p+WmdD/zUQCrXz7SWWoC/YnwnA2VFHxzZL6a4OB/svf2eS7GER12Yr1Lhu0rF80qLCAal0nEqFfCrJvkWzS/P+9//frZv3w6FuhFGdCQh+dXaLr4lTbUv4konmEozuutG9ohUzGsdK+jMclt7R2bTD0Qk1qvZRpHmPJP1Yn1Jbv3olwmDLrC06DrEr+RvHrZrr1uQNmu1G6RAn209XBs/33+Llx6w1y3O1wUlC9/pUYi3nwmAtK43/ET031m8Pr8cpZH9asX5oqLS5IDXKH4tsS+dsKhEufdZut2gl/6Ue9xkf2/e+ta3MmDAAF555ZWzgdvT7k8lRKQ5T+vz05T8cqQR9Y8ysg97CnqQKH8cUfy80No5fWfcbaQ50+6XRp6YyOLaR8OImlqy7EXyvYh86XN6LfU2eeAluu+HU4+ftgtL369JmO+/rJ036m0Lu3Ip/En1U0S6q+r2as/xLPpNTU0frBTN90q19fpB8CP5lSL4pXgV+2qvK5X+amn9XnBlP44ChnmlW7dunHbaafz5z3/+pIh8WlUzGVVp7ZxedQAa/klirX/Usu9SKu3lxD+I2KddAdaIn6xdrKWBpfMbjUw1yQ8Spa/0eq/SX456TOHPClmUXD9EFcVP4/dQ7frOz/VX1IGF1s7p26gxUeZpNIvIAbt27aK52W+R/srinFT6fmlbUDm1PqjklztOpWO5bRffvBDljgD1wrve9S5WrVoFEG/aSIOQtWi+V+JK9w+axu/nS99N7y++pUGe1iLGgUl0vshC2mcxln5sREG1aH6ckl/ueNWOmWR9gLQQkcrpyymS9aVM5chyn+PM5svKe/Zq7kcDnkS/VmG+uCmN5ntN1a8m+aX1B0qp9H6rRfm99An2zgBwo/phdymoB04++WT3x1OA59LriZElooz4B4nswxszvH7Wb/nFovjRkuUUfpuI2JssRfdbO6dnLv0474X4jDeoJNZRC36541eK7ldL4fcb1c/iNntt7R2pbutaizxE99PYijWN87jf6vtJ99Gr6B8F3kS/FlGl75eL/PuVfC8R/FqSX/ycahMcXqW/lOJ1/qUp/I0u+8OHD2fIkCGsWLHiHcD/S7s/aRPmiyOv0XwvhF3nX0v2ofIJrdyXf1j5bxTBFxFJur5F1mTfBL82WRL+LGGF+OobL5LffNDmqo/vWN7LUztBZN8Pts1eMIqvO7L0/Zd2JDvsedzPFnsulWS/2oQEVL5u93PuF5FuqlqxnpFXc3+ziNDU5C1dx2tRvigLzaUl+aXP95LNUE363ce8TgZUkn1V5YUXXuCJJ55g0aJFrFmzhl27dtGvXz8OPvhg3vzmNzNu3DhaWrKRWhIEEeFtb3sb//jHPz4OfCLt/hj5oVj+vUi/+2UcVPiLaRRRj4AD02g0K7Jvku+PPES4DMMv5aL5lSS/lthXe3416a8m+0Y2yMKEZ9KCn/R3vpc6TH4pd73h99zf2jl9B1UmyjyJfnNz83lJLkGLOlLtR/L9yn251/tZulCpL6XC72ZC1CrM19XVxU033cQvf/lLli5dCjhCvN9++9GtWzfWrVvHtm3OwOjVqxdnn302n/nMZzjxxBPJ4zLDcePGcddddyEi/VV1bdr9KUZEBuWp4n6j4kp/LeF/6NRre7Z2Tq+aj1h80kl7VtsvItKsqplJV2ztnL4srbbTlP16FfwFUyf1amvv8GciPsnCxa4RDTtGDk27C5nhuasnHQRsHHNZx/pyj/sV/GrHqCT8lWS/UlTfivKlQ+l1RxLfhWle63hJ4X/o1GsHAE0nz7wklZN6rQmJuM/5nkR/586d9OiR3S2eakXzi6kk1mEFv9qxwtQsKJcNUS6Fv7m5mSuvvJIbb7wRVWXChAksXbr0c8BfVPVfr7zyylbYvS/1gcDbNm/ePOG+++77j9tvv52TTjqJ6dOnc8wxxwTuaxoU/W7HAg+l2JW9aO2cHn1lyRio57R9P5w2ZN5u2X/o1Gt7q+qeV096DZTMmopIS2vn9LJ75pX7Ys+i/Lv9LOwQkb/ZvpiolVoXR1v1woKpk5r3SiWccjGUfL7iKgKZRnQ/i+uMjXzy119csuf38FUXuz/tcf+h37tWo5D8YpoP2uwppd/IB9WuOYJ8R2bxGqaUxeddvuf4ca7doGT8nDLrUt/nnzii+nFTU/RFpB8425nFiZ+t46pV5vdafC9JvKzhr4Yr++XqG3R1dbF8+XIuvPBC1qxZw2c/+1l+/OMfD//973+/pNyxChciy4BfA78WkQuBC+bOndtx0kknMXXqVC655BLPyzTSpmgSZAwZE30jfzx06rV9VXVj0YmhKqq6DWc5eY/Wzumv13p+tRNr3CdQi3IGIw7hrzexd1kwdVJ3Vd1RkPqazJ9ysUA8wp+07Ld2Trd1xkYoHr/10iY/WwX/68vOhEDbjGlVXzN6iHPNPHeFt0zZSrLvN6pvZJs8SLsX3Pfhnk+88uD4awRgxM3f3Wv8eCm27LePaV2DeYnoDwdiF7849of3krIfZSS/FmEi/aWy70b17733Xq666ipGjBjBqlWrjvnRj370zI9+9CPPx1XVLcB1IvJ/wE+nTp36wX/+85/85Cc/ycX6/aFDh9K3b182bNgwOu2+GPnmijH3yBUBdUNVtwIy4ubvaq31/JXwchKodOIpt2TAxD5ayv09a8l/vQp9OeZPuVi8Cn7Z1xK98Nu6fSMPzJw9pYczafz1QK9fcM6U3cLvSn05ih+rJf1RRPb9pO+LyP6q+mqoBiNCRHq1tXek3Q3DIwumTvI1QVbK4vMul0Lx3z1mq4IU5csiXkT/YIgnol+pEJ+f9fmlafuVSFvyy+F3275S2b/xxhu55ZZbOO644/j73//uRCIDoqprReTDwBW/+tWvpm3bto1bb70185F9EWHkyJE888wzDS36WSgelmeuGHNPJJG4xeddLm46WLm/SVjx8yItJjbJ0UgiXw2/kZRqxzHZNxqJNyQ/PAvOmSLvf+SLnsaPlyh/OdmPqzDfqcdPe4WMZMS0tXdsSrsPhjfCSr6LqqqINJXKfpTEeS4SkZ6FwO1eeBmtwyD+iH7SpC35XpgzZ84eN3hjwuLBBx/kl7/8JaNGjeLvf/97zzCS76IOVwJfveuuu2hvbw97yEQYMWIEhx122Pi0+5FHbH1+dJLv4qaDlWPEsNV73Qwjz0Ql+XEdD5wLrHqIzBj1RZSS73LXO//X1/gZPWQl1bIAvFJudwAjGH27NHfrwNMgKsl3UVXtmjh5jw/y1uHbcjFR3No5vWKxDi8jcxCEE/3iYnKla8yjpHh9fnHavpet9PKAK/vbt2/nj3/8I/vttx/z5s0boKo11wb75LvAzVdddRV//etfIz509Bx88MEsW7YMyeO2AUaqRC35LtVkvxSTfyOvxCHlcR7XZN/ICnFIvstd7/xfeffAebx7YPiJ/HLF/ipt72eEp1jwXeEvvhkOUUu+SznZh2gyJdOaMPBi7weIiK+t18JUmU+CPETzq3Hvvfeyfv161qxZc0oca5oKg+dLQ4cO5Utf+hK7dmX7S/2ggw5i8+bNAPum3RcjP8Ql+S4Pjr9GThsyL1DWhEm/kXXiknGXBVMnxVsB2DBSJC7JL8UV/lrSH0VU3wiHF5E36XeIQ/JrHTsv0f1SvIj+wLgDpcWF+Pyszw9C3iV/+/btLFmyhMMOOwxVja3KvKpuWLp06aeeffZZ7r777riaiYSiz8ygNPthGJVwhT+I+Jv0G42IbVVn1CszZ0/xtLV1GC4cNXOvC/dawm+ynx5BxL1RhT/uSWYos0VfEXkTfi+iPyCq9fnFafuVCvFFTb2k7YOTKfHyyy+zc+dOXnjhhXEJNHn7IYccwve///0EmgrOgAED3B+tMpbhibij+bXaCSv9hpEmSVxoQTxRfUvfzz47Rg5Nuwuxoqo702zfb0p/mPT9DYf09NWW4Z9GFf60cYU/69LvxeD3DxPRL16fb4Rn1apV9OnTB1V9Ku62VHXHokWLpj3yyCOsWrUq7uYC079//90/ptcLwwhGEOk32TfSIGlJjiuqb7JvpMXM2VMSW5JSLqrvUkn2LaqfPFFJeiMIf1KTzFA9ql+KF+F3i8Imff6pKfrNzc1vjbrRpKL59caOHTtYu3YtGzdu/HaCzd61a9cuHnjggQSb9Effvn13/5hmP4x88PUjfz8s4fZ6eH2uyb6RdZK80DIak+aFy9LuQmzYkhQjbupd9pPE73WW1+h+krJfU/RV1VchvkrEWW2/UXjmmWfcHx9PsNl/tLS0ZLq2Qa9eu/d5tRwxwwvLk2xMVbed0y+eBByTfaPeWTB1Up+0+2AYhhEHcUm5yX50xCX7SeFp8X2cFfeLC/EFIezr88TOnbuXdc2v9rwoUdXthxxyCIsWLUqqSd+0tOyeGfMcOTUalzirtVbjnH5P4UX4g1TpN4wkSOMCRlU3Jd6okSr1vkY/SS4aPWtgpcei2H6vmI1Do6nnZUSDyX505Fn2bVTmiCI/WZtku/Pnz+e3v/1tkk36olu33UvebDsmoy6wFH7D2JPiwkdR3AyjEVDVV97bp36KUhv+qCfZXzB1UuJbaD906rUHuz/nVfZj3+IjDebPTyzgnRa2xsswjIbDiqglR1YuUiDZvnj5jGXpd2MYhmHEw8kzL1kS17Hdc03c55PcR/S7urrS7kJijBgxwv1xQJWnRc6oUaN43/vel2STviha0rAjzX4YRlTcv2KU5+cuXtoYu0qa5CdLI/6+vb7nRvzdGPlERAb8YaPtftWobGitn9qpbe0d69JsP6/XWp5EP6UlrUYRY8eOZZ999nH/e1hS7YpI88KFCznssMSa9M22bbtnwyzMYtREoqguGoAZ649lxvpjaz7Pj+Q3CiZW6ZCF37uIJFKMz+97TWObJMPwy/Vzx6+p9Nif10R7rumzzJJN/RKXiG9olbqS/LSJS/KTyA6rKfoi4kv0K1VnL06nf/bZZ3f/HEdEvl4r/Pft29ctjHh8gs0es337do466qgEm/TH5s2b3R+3pNkPIzcclGRjItLiRfCDkNcZZj+YTKVL2r//1s7pG+JuI8x7TPv3YxiGUYwJfrQEvc6qdW5IaglYTdHfsWPH35LoiFGdOXPm0K1bN/r160efPn2+mmDTZ4kI48ePT7BJf2zYsPs6MPYLQiP/XPnsmUsTbm+r1+dayv6emERlg+K/w4ibv1tXKX5RfMbsc2p4RURyv2TWyC4m+dHi9zrLzfTKiuSDt9T9V3ftCp6O8/zz/qp9rly5MtTj9Yq7beGQIUPYuHEjInJM3G2KSPPBBx889aSTTmLgwIo7tKTO2rVrd/+YXi8MIxj3rxi1++YVk3yjEYhbiqL8jNnn1fDCqcdP21n7WdFww7xTK07KVUrbn7ticGz9MeKlEST/8GnXJTbR7GdS289SrqSLuXo5ib4S1Rr9KNL3Bw/29yV0xBH1VYRkyJAhtLS0MHLkyNobcofnY0uWLOELX/hCAk0F55VXXnF/tH3GDE9867mzEjlZVGoniNyDI/iNIPlGtii9MEkqqt/aOT02KTIxN9JCRFLdCtjv2vwdy3vtdV+vpZaYEBVhBd3W46eD1+h92ngZqWvqqRifGxnPG27tg+7du3P00UezcOFCRORdcbUnIn2GDh3686OPPpozzzwzrmYioSjLY1Wa/TCMShSLvd/IffHNMNIgjQuZtGXISI/mhcvS7kKsnHr8tNh3CCoXzf/zmlFVJT+OaH7fRVY6yQtBRL1RBT+JqH61yew8yH0xXkR/tarmuvJ+aVQ/r7LvMm7cOPbdd18GDBjwZxHZL+rji4h88pOf3LB8+XI6Ojro1i3b11vLly+nV69eAKluvWHki7ij+qfMulSDRO3BIvdG9ok7qt/aOT02GcrTRZpRn4jIPrWfFR5X7qOusG9Ejxdpd+W+EQW/mDh3T6p07CgEP+m0ffAm+qsA/KzTL628X7xOvzh9P07qtfI+OFH9008/nbVr13LYYYe9KiI9ojz+t771rV2/+MUvuOKKKzj++CQL/AdjyZIlDBs2DM3zbJSRCnHJ/imzLvV83NKovQm+kUXKXeDEJfv1VvDPMEo59fhpW6K+dnN5/yNfVD9yP3fF4IrRfEvbT5ZyEm9yvzdt7R274pB9EZHWzul7CW+eJ4e9jNal4E/0k6S1tXX3z0ceeaTn1+Utqu/2181OOOWUU/jUpz7FCy+8wLHHHvu6iPQL24aIyLRp0/SKK67gwx/+MF/9apLF/YOzePFiFixYMCvtfuQR27M9etmvJvkm9Ua9EbWUxy35eb5gM+qLU4+f9nrUsv/+R77oa/xUS9cvJ/mV6LMsm46QV0zuaxO17JeT/CjT9OOM5ndNnFxxsDZ7eP0SgJ07d9K9e/fIOgVOQb5ycr5y5UrfRfdqccQRR+y1A8DYsWP3yj5IEr+TDa7ku9kKn/nMZzjooIO46qqrOPTQQ9eJyFtV9YkgfRGR/T/0oQ+9MnXqVD760Y9y00030dSU/VlbVeXFF18E8Le9Q52xeOkBjBhmtQiD8q3nztIrxtwT+oQx4ubv6ohhzs9JSHyPl1r2OnlUOimlkTJmNAYjbv6uLj7v8kjGTxT9KYcJvpFFCrK/j6p63oa1Em0zpunoId6eW2s9vh/Jj4KZs6cMgK8n2mYlFkyd1KutvWNz2v0walOQ/aawGb2VIvlREff1l6pWLIbhRfRfgvgj+l1dXXtE56Pg8MMP32OpQBqyH1XmQKXdAyZMmMBRRx3FJZdcQrdu3f72mc98hv/7v/8boaqetjIQkT7A5/bff/9r7rrrLr71rW9x8cUXE+Pyl0hZtmwZGzduBJibdl+MfPOt587Srx/5+36qusHva0Vkn9bO6VsgmOCHkRCvry19nol/NPTtKn990WiRmBE3f1e7Jk7urqq+19bXQxR/wdRJBzPl4tjbMeqPU4+f9vppJ1zJzNlTAglL24xpu18T9/Z4ftL2/RTiU9VXg/QnDlR1y+HTrku7G4ZH2to7dh0+7TrmT7k40El3xM3f1dbO6XvdXy+TwzVFX1XXNzU1sXNnvFt/+pH8wYMHF1da34Mjjzxyj637SmW/HHHIfpRLA0oj+fDGMoXW1lZaW1t56qmnaG9vdyPxi0877TRmzpz5BeAR4AVVfR12VzI+GBgHnNWvX7+J69ev56ijjuKaa67xtfwhCzz33HPujw0d0Tei4eSZl6w/ZdalPHTqtX1UdVOt54tIS2vn9K3lThLlqJcTR6NSSer9PLeeJwBaO6dvH3Hzd+maOLlZVWteNCSxFj/BMbc8qYaM+uRtn7hm19s/eS2P33qpJ+E/9HvXavNB0Qee/UbzLW0/n3id7M/6dYv7PtzzidfssjeWWe4dnKn1nvN0fhcvk4fdu3dXEaF///6eD1wqusUR6UrCWkyt1P1S0e/q2jOAXSz7paJfGtUvJgrhjyOKX+13Vvy7eumll+js7OTWW2/d43ey7777ArB582a2b9+++74zzjiDz33uc7ztbW/LTRS/mKuuuopvfOMbAP1VNVNV90XkgNbO6Ylt+Rcmdf+0IfMi7Ek+qVWv4KFTr+3T2jl9o9fj5eXk6OJVzpIiiS10vOJH8P2SxQuDSoTJAumaOLlva+d039kyYUhyDAaNJsXFGYM/n5nxE4QdI4em3YXE2XBIz73u2zjUiaA/d/Wk/cZc1vEawOZhe4t1VMJfTfIrRfMrib6fiP79j309U+MnS+efsMSVvZeVa5xK78+9Jn7o1GsHAU0nz7xkRbnnlcvCrPbeql0PVDqfx51BWW1yw0vqPjt27OgUkYmR9agGUa/P95LC7xImuh9HFB+8TYy4DB8+nKlTpzJlyhQWLVrE448/zksvvcSKFStoamqiV69eHHrooYwePZrjjjuO5mZPH4HM8tRTT3HooYeycOHCTEk+gKquHnHzd9PuhlEFP8UIT555ycbFS6s/JysnPi+Uru/PkuQDLJg6aWhbe0eqG2rHKfjl2siT9PulniXfMOLGlfxKuIIeRPi9RPDjlHwjWpJallfcTlrft7UkH+DkmZckEnALKvmlQbqo6zt5tbx/qiq7du3yVKDNbzQ/ClpbW/eIYNdK4a8l++Avuh+0sF4QiiW/0qSIiHDooYdy6KGHBm4n66gqjz/+OCtWrPhl2n0x8kXQve0r4fUkF1Yc61kEy/ByWg0nIfiV2m2wv3HkmOAb9U6vpU1lo/qwt7RXEn8/6fm2nV72SbvmThak3yWuwtRxXBeU6+uIYat9yX7XxMnNnHd5xce9jt5/AOzY4bvGTmyUE9zSKHfpRELxJAM4sl1NuMeOHetJ4L1KvtueH8mvNjESdeZD3ujq6mLFihUAj6bdlywQZhawnrfZu3/FqL1ufqi2DV6trVf6duket7BEeSxI/4RcjbBVdPNKlH/fRiLKbZDqgftW/TDXdta8MNVknsxQKWLuVb53LO9V9uaVau1EtTZ/5uwp3SI5UIOxdfi23bcskVS/yh0/zt2ngkzCV8s4qNZXP++jVjam14j+HHBEv6UlXydSL8X5qkX3IVxKvhepL5b54r6VTkxA+XX5jcpDDz3k/vhAmv0wskWUkxZBo/hJpXxb9Dd6siLZbj/sb1ybtAV/wdRJTVmruK+qesbgz6fdDSMC+izbtXutfjGuhFeK7oeh1kRCNcn3m7avqpmr5rdg6qRube0dmVrO5pI1sa/G1uHbYvl+jvN3UKm/QdbmlyPprbA9ib6qru7WrZuniH61tP1iiqPTXlLRy1Gu+n5pCr/bVqnsA3ul8kP1Qn1eqCX25eTdy+N5q4afBA888ID7GbCt9SLg/hWjclmUL65shCCS71cS911YfuvkdSN7eHp9FDLY46WWzBUSS4usSH4xNqFTmbQF36VRs0+MaOm7aEvZgnxQWfYheuEPI/n1gqruyuIWe3mSfBe3z1n5vi4m6vXwxWTlb+W5EtuuXbt+s3379g+GaayW5EZFJdkHPEX3i/Ei/n6j9n4xyd+bnTt3cv/99/Pqq6/ekuWLrK6Jk7u3dk7fnnY/6okklhnEJfmVxL7a87xIv8lgeLIo+S72992bLF40GkacVJN9CC/8XpYD1JJ8K8IXD1mRxjBEFd3P8+8i6mh+18TJLdXW54MP0Qf+smvXrg/u3LmTbt3KL6fxGs2PknJRfSgv++Atul9M2PfgRfBL+1T6mLE3jz/+OK+++irA3Wn3pRqquiNPlfezGNVPun5A1JLvVe6rvd5rhL/eSCp9MsuS72Ky75A1wV8wddLArKXtG/VLLdmHysJePAEQpMBeHJH8mbOnNMHXIz9uPRFWbL3KZZzRbZew0f0sSn6583JS9QNUtWYg0Y/oPwywffv2sqJfS/IrFZULmrZfTDXZB2qm8pf2r5L0eyVI+n3xY27fqj1/5cqVDb1O/6677qKlpYVt27b9Me2+1Btpyn7aRQGzJvmlx4lD+BdMndQjq6KS1fRJI3myJvguqvpK2n2oxH2rftg0YdAFuc2zbl64jB0jh6bdjczhRfbLEaZ6vhfJDxLNz3JGZh4JI5Nxb/NWTBDhz4vkZw0/ov+MiLB9+3b22WefPR4IKvmlxCWv1VL5garS71JN/mtF7f1G5b0+v1Flf9euXdx5552cfvrp3H333evS7k+WWLz0gEhmDZOQ/bSlvphaJzS/kh+V4Jc7biXZDxrxVdXsnT0TJA/RfJdGjepnVfKzjhXkyx+uLFdaq+/iincQ4fdLXJKfdeZPuVgOn3ZdqicIr3IbR7S4+JhxSb9X4c+C5G9oFU91kZLeDaAWnkVfVXeKyH3btm2boKqIOG+yVkX6ahJcuh1eGCpF9UvbqpTOD3sLfzFB19hb6n30PPbYYyxbtoxly5Z9Ku2+eKFr4uS+rZ3TN6TdD79ELftZEnsXLyevrEi+ET1BJN/L37dRl1pEjQm+0ahUK8xXTJzC7zVVP6jkO9vqWdp+GJISSLedOIU/6e/7cu+lVh+KZT9OvPyeF593uadZfz8RfYC7d+3aNeGwww6jd+/eZZ9QHM0vleNKKfsQzXZx7jFqCX852S/tXzXp90I1wa826VBrrX5XV1ekEyR55Oabb6Zv375s2LDhN2n3xQuqujFP6/SLKZZzL9KfRZmvRBLr0arRMm/pXvdtGzUs0T4smDqpe1bT9l0WTJ3U3NbeUXvLl5jxM4Hjt5hiHkgyopIXwbfdKow48Sr7EJ3w+12HHyaSn8Vt9fJEGlHiEcNWxx7dT4Iw7yFvWXV+Rf8+gFdeeaWs6FeS/FLpjUPyS48XNLrv4iUS/+yzz3qO2IeVcz9t1TPr1q3j17/+NZs3b/6Jqm5Ouz+NRJ4kvhZev+TjiOaXE/y0UNXUBboWqrozzXX6VkwxWfIi+Xnh3pU/kDMGfz4/61OMPfAj+7C3qHsR/6BF9uoxXb+UBVMn7dvW3pHKEtFq4ptmKnicsh8WL8tX09hSL6pltS5dEyf3qlVt38WX6Kvqv/r06cPq1asZPnw4UL4qvR/Jj4tasl/al2rSXwkv4u3n/YbNImgEOjs72bx5M8AP0u6LkS+yemJyCRvNz9ssc9pEuR2il+OY7Fcnb4K/YOqkvlnPhjHqA7+yX0xce96Hlfz7H/t6Lk5Yqro+awVh05T84j5k/ZqqHEEKLkeBn7+Zl9+rqnoegH4j+mzatOnKTZs2fX3btm20tOz5S/GTqg/RR/IrHb+W8ENlIQ8yAVAJr8cqLvwXtDZAPbJz505+8IMf8M53vpO//OUvT6XdHz90TZzc1No53dLUEibMiSiuL/1to4btFdVPOmUfLO04aUz2K5M3yQdnSVbafWgErPK+QxjZj5pGiOTnHa/1lcJkamZV9tPqU6VoftoTM0EW89wJsHr16qqp+mlLfmlbQdtrbW0te/NKV1fX7lslnn322d3R/NLq/uWq/Uc5+ZAnfvWrX9HV1cUjjzzyobT74hfbQiY5Fi89YPctqxSLvR/Jb1RRTGNSIo6iilaocW/yKPl5475VP+yedh+M8PRdtCVVyY6q/Zmzp/gOMjYiQb4bTxsyz1cRZff5aW2pbOxJlEX4XIKI/pz+/fuzfv16wBF8v+vx09oSzm07ij5Esea+WPCr4cp+I6f279y5k+985zuMGTMG4K60+2Nkh2Kxj0ruk5CPbaOGRSb5ftP2F0ydFP+eTBmmVtq+CXky5FXy85YNk4daHIZ3khb+qNtT1Z2RHSwBsjTeq0WHw8p6I8t+2HNRFIUE4wpO+Z5VU1UVka+vXbv2ygEDBuy+38ta/Kzt+V7cHy/p/aVUq+BfjmqiXhy5f/7558s+p3hCpdGq799+++0sWLAA4CN5rdSaVPp+1EU/skhWo/XrRvaIRRKjlHzIZ4bJgqmT9mtr73gt7nbilvwwKfz1VIchr5JvGFnBle+4UvrjmEyYOXtKH9tSb8/J5ii+16OS9NOGzKurwstZIMoCgX6j+RAsog9wC8Df/vY3YO+1+MUCGlUEPW5Ko/1R9bdS5H7+/Pl73FwqSb77mkaM6m/atIkpU6Zw7LHHAvw67f4EJY9ylRXiiNrHRdTp9VEfb8HUSd0iPWBCqOraKI6TxB64RnXyLPlZiu754b5VP2zoLJ56xo24RyXmcWYMqOqmWA6cE/p26V7noHL3pUmjRfbTOh8ldU0baJ2MqnaNGjWKxx57jEmTJu2+P+5t85KmVjG/ctH8WiJebs29SznJnzNnzu6fy+1w0Ahcf/31LF++nOXLl5+U12i+4Z+0hN7Ll/6GVql6Yo4qsl9L8gNG820MVSDLKfv1FM03kkdV9YzBn0+7G0bMVBL0SlH/JJcAzJw9pXteo/nzp1wsh0+7LpSN15L5vl261/d8j5daaqaFN5qY55EormeDRPMhoOgDzJ8//0PAr2fPns2JJ564VxS/ESkn+X7F3qVY8Mu142ZRrFy5sq5/3wsWLODqq68G+LWq/iXt/oRl8XmXy4ibv5udqdsMkfVIfSleZB+CyaOXKH4Q8ctrNNJlwdRJzW3tHbbeOGGiWH/oYtF8wy9WeT88WaiUb7UialNO9otphKWZSZLn85FXwqRy3T1o0CB+85vfNKTkl0bzK6Xml/L888/vvpVjzpw5VSW/kdi5cyef+9zn6NWrF8B/pd0fI3qylo7v90vfi2yvG9ljj1vQ5/httx6Js4iT1wmZlrlL9rglQaP+vbPEgqmTsrG3WQjuXfkD+yAZqXD/Y1/P/WcvzLI3P6n5WUrjN7JB0Gg+hBB9Vd2xatWqrz355JM899xzQQ9TFxRLfi3Br4RXwS8+dr1vs3fDDTfw17/+lddee+08VV2Rdn+iomvi5NjXSGdFnMuRNbkPi18JK5V6v2vwg0qfRSPDUUns45b9epL8PEdPVPX1tPtgGEZ6pLXsLcz35jn9noqwJ/VDj5dacnM+6po4OVShprDFWX7Qp08fvv/97wONG813iVPw3WO51HtRvkcffZSpU6cC/Bb4ebq9iZZGXCNdb3JfShIytqFVArdTT9vpZXHCwo/s+5nYMcnPBln8zAXFivIZSVMP0fwwBInQRxnVP6ffU76E32vV/Xq9nssaqhpq7VyoL3xVXbtx48bpf/jDH1i/fn2YQ+UWV7hLJT9KwXefX4mVK1dWveWNFStWcO655zJixAiAifVYrb5r4uTeafchbvIo92HWIrsiHrWcRXHMehxDSeJF5KOO7NeT5OeZBVMn5XeGogz2XWAkSb1JfpSTfvsu3LrHrZRi2S+eKPVzTTVj/bG7f7bovkOeJp3DpOy7RDGze/0+++zDt7/97QgOlT1KRbk4ml9N8svhyn01aR87dqznvj377LN0dXXVTOHPk+xv2LCBD37wg6xdu5aFCxceo6rr0u5THKjq5rjbSEuw8yb3cRCF9Ec1aVBP0UiXJN+TV4HfNvrgmHuSX/J0YVWKqm5Puw9Rc9+qH+Zyi00jX8ycPaVv2n3IIpXEvtz9XiL7tSLwM9Yfu/sWFWlc4+Up3T4KuiZOjiT7KvRBVHXlli1bvnvbbbfxzDPPRNClbFAuGl5O8kupJvlhKJ4AKK4D4PbDFf5K0p+H6P62bdv42Mc+xj//+U82b978XlV9Ju0+xUnXxMl94m4jqS/jPEbvKxFlhXHYU/rLiXvp41FmBdSj5OcZr2n7Fs3PBvU6fhpx+ZiRPKq6Me0+xIGf74UgKfiVCsMmIble0/aNN4j6mhGga+LkXlFlXwXeXq+E7wwYMODyK664gt///vcRHTJbVJJ8V7jjEvxijjjiiN0/79y5k1deeYX169fz/PPPs2TJElSVk08+mXnz5jFw4ED2339/mpqa9tgVIats2rSJj3/84/z5z38G+HdVvTftPsWNqm4acfN30+5GKOpB7Muxdfi22E6qSUlcvUqKSxT7Gnth2+iDa0b1vUTzG1Xy8xqBqffxc9+qHzZPGHSBbXdmxEK9pexHRZDtdsttuVe6zd79K0Zx2pB5ofvnhbSi+RBOqvN0LlLVyPbDlKiWa4nIRcB1v/71rznjjDMiOWZaeI3kV5P8IILvRu2LXzt27Fh27tzJunXr6NGjB6tWrWLNmjWsX7+eWn+7lpYWhg8fzsiRIznhhBMYN24co0ePplu3bpkqnPjaa6/xwQ9+kCeeeIJdu3Z9VlVvSrtPSSEi+7R2To99g9so912tV7kvJU8nhVIWTJ3U1AhrcYOIfqUIS7ULsGqi7zVlP6/bJoaNVuRxHNW75LucMfjzufmO2DFyaNpdMDzSKJLv5fxTer4pd55xzy/lziXueaP43FD8nVx8bRdW9L1E89O6/gsj+nGfg6KO6EexLr+YKEW/ZdSoUVu3bNnCU0895e59njv8Sj7sKfpBI/ila/M3b97M6tWreeWVV3jttdd2S33//v0ZOHAgL7744reAxcAK4DVgQOGlrxZ+HgqMfOtb3zrpxRdf5NVXXwWgb9++vO1tb+Oss87iPe95j1vwLjWefvppPvWpT7F06VK2bdv2YVX9daodSoERN383sYutoMLfKHJfSh4lpVEk3yUq2Q8SafFKXiUfGieC4tIoku+SF9k30c8HjSL54ARq2to7qgZqaol+6SRyqewXnzvcc0Ql0Yfgsp8HyQd/56Mkzz9RyX7Ukg8Rij6AiJwEPHTppZcybdq0yI6bJJVEPwnJ37p1KytWrGDFihVs2LABgN69e7Np06YOYBYwW1Vf83t8ERHgYOCdwPiDDz74M0uWOF8uRxxxBO9973s566yzeMtb3kJTUzI77+zatYsf//jHXH755RxwwAEsW7bsnar6aCKNZwwRkdbO6Ymvmawm/fUs9l0TJ/dR1U1enisi0tbekZv1rI0mKQAi0qutvcPT39MlSFQ/KHmWfNj7AqZr4uQWrwXqRKS5rb0jN8XsGnH8mOgny8zZU7p5rZEgIvucevy02DP+oqKRJN+l1kSzn4i+SyXZjyuqn2XJhz2F3U8gQ0T2bWvvWBtXv1yikPyuiZP7xlXTIlLRBxCRnzc3N3/qkUce8VVBPisUi36tCvulKft+RX/s2LGoKq+88grLli1jzZo1qCp9+/Zlw4YNlwF3quqiAG+jJiLSBpx58skndzzyyCPs3LmTIUOGcNZZZ3HmmWdyyimnsM8++8TRNI8//jiXXXYZTzzxBBMmTOC+++47QFXXxNJYTkgyqt9oRJ4GJdKvrb0jc7tBNKKkuCSVwu+XvEs+RP+5SqKuQhAaefzkQfbzKPozZ0/pHeUOOyIipx4/LZMTz40o+eAtGFB8rgkj+uAtqg/ehT/Lkt81cXJ3VY2sjoiINLW1d+yM6nguYUW/a+LkZlWNvF8ucYj+gCFDhqzp378/jz76aK5S+JOK5o8dO5YdO3awfPlylixZwpYtW2hpaWHbtm3XAD9V1bkB30IgRGQ/4L3AOX369PnAxo0b6d27N+9+97uZMGECp556KsOHDw/Vhqoye/Zsvv/973PnnXcyZMgQVqxYMRH4uVUAdjDZj4440p/KkZWIfyNLCgT7O8Qt+nmV/AVTJ8UWWShFRLq1tXekWhBuwdRJ+6hqfOs2coCI9Jow6AJfWTFJkxfRnzl7iueMl7BkIeI/c/aUhloqVo6wUf1yNWDCRPWLKSf8firrJy35XRMnJ/Z5EpH92to7Xg1zjLCSn8S1auSiDyAipwF/+s///E9uuOGGyI8fF0lE80eNGsVLL73E0qVL2blzJ/vuuy/r1q37GPAbVY1+jwafiMg+wLuADwwbNuw/ly5dCsDIkSM58cQTefvb3864ceM4/PDD6d69e9Vj7dixgzlz5vDQQw9x66238txzz9GvXz/Wr1//beA79br1SlBEpLm1c3pu0lyzRpIniEokHa1sdMEvJitR/bwKfhY+SzZ+0iPrUf2si37aEW0RaTr1+GmxRQVLmTl7Sj9V3ZBUe1nHj+zXKvwapCgfRFt0GZKT/K6JkyPNfAmCiLS0tXf4OvGHkfyosxWqEYvoA4hIB3Dxbbfdxvvf//5Y2ogSP9H8IJH8nTt30rNnT5YvX46qMnjwYFauXPk2Vf1b2L7HRWFt/xHAacB79ttvvwmvveaUCOjevTsjR46ktbWVIUOG0KtXL5555hkGDhxIt27dWL16Nf/4xz921xo49thjeeqppz4L3OZ1fXQjYlF9f3RNnJzZZR8i0retvWN9HMdutIJ7XvErirX2OPYj/HncPm/B1Ek9sjDBXI44pd8EvzxZlv0sin6Wo9mnnXBlbP1Ke1Iji0SRwl+Jcqn7Ll6i+n5JSvCTyrz0i9cMwaCin/T7jlP0e4wbN+71efPm8cADD3DUUUfF0k4UeKm0Xy6a70Xyd+7cyebNm9m61RnUha3jvqOqC8P2O2lEpAloA8YBRwFjjjnmmLNWrFjB+vXr2bRpE7179+bggw9m3rx5jwL/AB4C/qKqy1Pseq4w2a+Nn4JgWSGsuCyYOqm/qmauNkDWiFr2iyl3ceZV8CE7kp+3iaIolshYin5tRKTbhEEXpLqUohpZkf28iW4U0X4/RQQblSgK85XDq+hDONlvdMGvhIj0aGvveL34Pr+Sn+Z7jk30AUTkoAMPPHBZ9+7d+ctf/sKgQYNiaysMQdfmVxP9YsEXEXbt2vV9HMFfGmHXM4WIdIuzoESjkFYV/jyQhfT8KKm2RmzB1Ek9VfX1co8ZlfGy5VEpfmQ/KFmQ/HqKZBcyzga2tXesKn1swdRJrcDypFIj6wmL6lcmb4JfDRFpBg449fhpewVhZs6eciCwysTeP1HLfulEci3Rh2Cyn4Tk503wqyEiPYADWjun71VgoWvi5IHAq1m5Vo1V9AFE5LiePXs+cfTRR3PPPfdkrjifl2g+lE/bL8fWrVtZtGgRy5YtA0BVvw98yyLahh9EpKW1c7pFnwrUm+Ab8RI0eyIu4U9b8utJ8I34yarspyX69ST4RvxEKfvlMsaqrdMvxovwm+DXP7GLPoCInCMiv3r3u9/NjBkzYtu2LQh+RR/Ky/62bdvo6upiyZIlqKqbov9NVd27nKZheMBS+E3wjeBkQfZN8I28kkXZT1r0TfCNoPiV/XLsu3BrKNEvZcSw1YlW0TfBzwaJiD6AiJwnIp2nnXYad9xxBz16eF/XGCdBRL+YrVu38vTTT/P000+zfft2gF8CU/K4Bt/IHo0q+yb4RhSEqYsQVPjTlnswwTeiIWuyn5Tom+AbYfG6Z3uQ80xQ0U8KE/xskZjoA4jIZ4Eb3/Oe93DLLbfQp0+fxNquhFfRL+X111/nzjvv5Mknn2Tr1q2MHDmShQsXjlHV6rn9huGTRpL9romTreCPESlhiyB6uRDLgtyDCb4RPVmR/SQk3wTfiBIR6d7W3lHTxMOeY7Ii+yb42SRR0QcQkf9oamr68VFHHcWMGTMYNmxYou2X4lf0t23bxsMPP8z999/Pxo0bGTNmDM8999w4VX0q9s4aDUu9y37XxMnNVsjRiIuk92dPmrxV0TfyRdqyH7fkm+AbcSEizW3tHZ52CKok/LUmktMWfRP8bJO46AOIyIS+ffve27t3b2bMmMG4ceMS74NLNdEvZsuWLfzud7/jtttu49VXX2XcuHE8+eSTJ6jq7CT6aRj1KPt53CbPyCf1KPsm+EZSpCn7cYm+Cb6RBH5kPwhpib4Jfj5IRfQBROTIgw8++J+rVq3im9/8Jl/60pdoampKvB+log97yv6GDRv4zW9+w69//Wtee+01V/BPVNVHkuynYUD9yH7XxMm2p7WROPUi+wumTrIlLkbipCH7cUi+Cb6RNF7X7AchadE3wc8XqYk+gIgMOuuss1bec889nHjiidx44420trYm2odyog/w+OOPM2PGDO655x62bNnCu971Lh544AGL4BupIyI9Wzunb067H0EwwTfSJs+yb4JvpE2Ssh+15JvgG2kTx/knKdE3wc8nqYo+gIgIcF7fvn3/T1W5/PLL+cIXvkCvXr0S64Mr+6rK7Nmz+fnPf84f//hHRISdO3feDnxHVeck1iHDqIGISGvn9Nxc8HdNnNxTVV9Pux+GAd6LJGUFE3wjS6S9Zh/8TQKY4BtZImrZj1v0TfDzTeqi7yIircAPgQlDhgzhq1/9KhMnTqSlpSX2tlesWMGNN97I7bffzsKFC+nfvz9r1669GvgfVV0SewcMIyBZT+W3KvpGlsl6dN+q6BtZRUSaJgy6IJUCql4l3wTfyCoisk9be8eWqI4Xh+yb4NcHmRF9FxE58YQTTnj4scceY/jw4Zx77rl88pOfZMSIEZG2s3r1au655x7uvPNOHnjgAXbt2sWxxx7LU0899e/A7aoa2QA0jDjJYnTfThBGXhCRlrb2jkwtJzHBN/JC0tF9L5Jvgm/khSgmm6OU/K6Jk3urai6XhhrlyZzow+50/gnvete7/vDggw+iqpx44ol85CMf4YQTTmD06NG+C/dt3LiRv//97zz88MPMnDmTv//976gqhxxyCIsWLfoW8HNVnR/LGzKMBEg7ut81cXJ/VV2XZh8MIyhpR/cXTJ1k9SuM3JKE8FeT/Jmzp1j2mJFbwpx/ohB9C87UL5kU/WJEZDhw7pve9KZpL774IgD9+vXjLW95C29+85sZOHAgAwYMAGDTpk0ceuihvP7666xevZolS5awcOFCnn/+eRYsWMCuXbtoampi3LhxPPH/27tjlTiiKADD52SDBEHstp1Ky60DvoCPMZVYW01jCFZW1il9BUljYZ0gQiDVgsXCtKYJwVQGbprYKWEnrtm9fl8/w3TDP+fOvVdX7yPiLCK+Op6ImmTmm+b0+NlWpPRt54gvqvHcwW96T00WGfwPhb7pPTUZ8v4ZGvp9222UUm4HXczKWPrQv/dnyr8VEW8jYmcymexNp9O4u3v8aMrRaBRN08RsNvsYEV8i4jIiPpk68hIsckm/r7/ULjNH20cnvxZxb3FP7TJzfXe8//Op7ncf+RefD8UJ1Zsn+OcJ/b7t1kopj4cT1VmZ0Af+TWZuNqfH3+e9rm+7cSnl2wIeCVbG0En/9buDzVLKj6d+HlgVmZm74/1BH53Pbz74pYUXLTNfbR+dPLjx5d8iv2+716WU/7JpJstB6AMAAEBF5tvRDgAAAFhqQh8AAAAqIvQBAACgIkIfAAAAKiL0AQAAoCJCHwAAACryG+HiDA5KvnNDAAAAAElFTkSuQmCC\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -132,39 +130,101 @@ } ], "source": [ - "mesh = FEMOL.mesh.load_vtk('Results/Soundboard_Article/Soundboard_TOM/iteration_2/meshes/TOM_lcar03_T21.vtk')\n", - "mesh.cell_to_point_data('X10')\n", - "mesh.plot.point_data('X10', cmap='Greys')" + "TOM_improvement(mesh_files[0], eigval_files[0], eigvec_files[0])" + ] + }, + { + "cell_type": "code", + "execution_count": 974, + "metadata": { + "tags": [] + }, + "outputs": [], + "source": [ + "def guit_zc_solve(mesh_file, hc_opt, **kwargs):\n", + " \n", + " obj = FEMOL.problems.GuitarModal(**kwargs)\n", + " zc_mesh = FEMOL.mesh.load_vtk(mesh_file)\n", + " zc = zc_mesh.cell_data['zc']\n", + " zc['quad'] *= hc_opt/0.010\n", + " zc = add_top_brace_to_zc(zc_mesh, zc, 2*hc_opt)\n", + " obj.problem.mesh.cell_data['zc'] = zc\n", + " return obj\n", + "\n", + "def ref_guit_zc_solve(mesh_file, hc_opt, **kwargs):\n", + " obj = FEMOL.problems.GuitarModal(**kwargs)\n", + " zc_mesh = FEMOL.mesh.load_vtk(mesh_file)\n", + " zc = zc_mesh.cell_data['zc']\n", + " zc = add_top_brace_to_zc(zc_mesh, zc, 2*hc_opt)\n", + " zc['quad'] = np.ones_like(zc['quad'])*zc['quad'].mean()*(hc_opt/0.010)\n", + " obj.problem.mesh.cell_data['zc'] = zc\n", + " return obj" ] }, { "cell_type": "code", - "execution_count": 490, + "execution_count": 1019, "metadata": {}, "outputs": [ { - "data": { - "text/plain": [ - "776.7999999999993" - ] - }, - "execution_count": 490, - "metadata": {}, - "output_type": "execute_result" + "name": "stdout", + "output_type": "stream", + "text": [ + "$___T11__[0, 90]___$\n", + "Tried modal assurance criterion with non symmetric mesh and failed...\n", + "Tried modal assurance criterion with non symmetric mesh and failed...\n", + "T11 mac_ref:0.97, mac_opt:0.59, tonal change: 6.098356317144033 \n", + "T21 mac_ref:0.91, mac_opt:0.18, tonal change: -3.2537677036392587 \n", + "T12 mac_ref:0.99, mac_opt:0.63, tonal change: 0.32278183040816444 \n", + "T31 mac_ref:0.91, mac_opt:0.16, tonal change: -7.780561562482351 \n", + "$___T31__[45, -45]___$\n", + "Tried modal assurance criterion with non symmetric mesh and failed...\n", + "Tried modal assurance criterion with non symmetric mesh and failed...\n", + "T11 mac_ref:0.96, mac_opt:0.75, tonal change: -0.4403194159260799 \n", + "T21 mac_ref:0.95, mac_opt:0.26, tonal change: -1.1742356322498715 \n", + "T12 mac_ref:0.98, mac_opt:0.72, tonal change: -3.8143606506557575 \n", + "T31 mac_ref:0.52, mac_opt:0.13, tonal change: 5.814467844728711 \n" + ] } ], "source": [ - "6666 - (1000*2 + 777.84*5)" + "modes = ['T11', 'T31']\n", + "files = {'T11':[0], 'T31':[-2]}\n", + "plies = [[0, 90], [45, -45]]\n", + "all_modes = ['T11', 'T21', 'T12', 'T31']\n", + "vecs = [np.load(f'Results/guitar_modes/guitar_sym_mode_{mode}_lcar03.npy') for mode in all_modes]\n", + "all_eigvecsr = []\n", + "all_eigvecso = []\n", + "all_omegao = []\n", + "\n", + "for mode, ply in zip(modes, plies):\n", + " for file in files[mode]:\n", + " print(f'$___{mode}__{ply}___$')\n", + " obj = guit_zc_solve(mesh_files[file], hc_opt=0.010, h_flax=0.0025, plies_carbon=ply)\n", + " w, v = obj.solve(solve_from_zc=True, h_min=0.001, mac_find=True, verbose=False)\n", + " all_omegao.append(w)\n", + " objr = ref_guit_zc_solve(mesh_files[file], hc_opt=0.010, h_flax=0.0025, plies_carbon=ply)\n", + " wr, vr = objr.solve(solve_from_zc=True, h_min=0, mac_find=True, verbose=False)\n", + " all_eigvecsr.append(vr)\n", + " all_eigvecso.append(v)\n", + " macs_opt = [FEMOL.utils.MAC(vi, vref) for vi, vref in zip(v, vecs)]\n", + " macs_ref = [FEMOL.utils.MAC(vi, vref) for vi, vref in zip(vr, vecs)] \n", + " for f1, f2, mco, mcr, m in zip(wr, w, macs_opt, macs_ref, all_modes):\n", + " try:\n", + " incrs = tonal_increase(f1, f2)\n", + " except:\n", + " incrs = 0.\n", + " print(f'{m} mac_ref:{np.around(mcr, 2)}, mac_opt:{np.around(mco, 2)}, tonal change: {incrs} ')\n" ] }, { "cell_type": "code", - "execution_count": 487, + "execution_count": 1029, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ "
" ] @@ -176,17 +236,21 @@ } ], "source": [ - "mesh.plot.point_data('m1_Uz')" + "mesh = FEMOL.mesh.load_vtk(mesh_files[-2])\n", + "mesh.cell_data['zc'] = add_top_brace_to_zc(mesh, mesh.cell_data['zc'], 0.010)\n", + "mesh.cell_to_point_data('zc')\n", + "mesh.plot.point_data('zc', cmap='Greys')\n", + "FEMOL.utils.guitar_outline2(L=1)" ] }, { "cell_type": "code", - "execution_count": 488, + "execution_count": 2029, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", + "image/png": 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\n", "text/plain": [ "
" ] @@ -198,69 +262,56 @@ } ], "source": [ - "key = highest_key(mesh)\n", - "mesh.plot.point_data('m10_Uz')" + "mesh = FEMOL.mesh.load_vtk('soundboard_TOM_T31.vtk')\n", + "mesh.plot.point_data('zc', cmap='Greys')" ] }, { "cell_type": "code", - "execution_count": 389, + "execution_count": 2031, "metadata": {}, - "outputs": [ - { - "data": { - "text/plain": [ - "" - ] - }, - "execution_count": 389, - "metadata": {}, - "output_type": "execute_result" - }, - { - "data": { - "image/png": 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\n", - "text/plain": [ - "
" - ] - }, - "metadata": { - "needs_background": "light" - }, - "output_type": "display_data" - } - ], + "outputs": [], "source": [ - "first_notes = np.array([82.0, 87.3, 92.5, 98, 103.8, 110.0, 116.54, 123.47, 130.8, 138.6, 147.0, 155.56])\n", - "partials = np.arange(1, 10)\n", + "mesh = FEMOL.mesh.load_vtk('soundboard_TOM_T31.vtk')\n", + "zc = mesh.point_data['zc']\n", + "good_nodes = np.arange(mesh.points.shape[0])[zc>0.005]\n", + "good_cells = [cell for cell in mesh.plot.all_tris if all(ci in good_nodes for ci in cell)]\n", + "cell_groups = []\n", "\n", - "for i, p in enumerate(partials):\n", - " if i ==0:\n", - " plt.scatter(p*first_notes, p*np.ones(first_notes.shape[0]), 5, color='0.4', label='notes')\n", - " else:\n", - " plt.scatter(p*first_notes, p*np.ones(first_notes.shape[0]), 5, color='0.4')\n", + "while True:\n", "\n", - "ax = plt.gca()\n", - "ax.set_ylabel('partial')\n", - "ax.set_xlabel('frequency Hz')\n", - "ax.set_xscale('log')\n", + " try:\n", + " node_groups = []\n", + " current_group = [good_cells[0]]\n", + " good_cells.pop(0)\n", + " # For each cell in the current_group\n", + " for cell_1 in current_group:\n", + " # If a cell in good cells shares two nodes with the current group add it\n", + " for i, cell_2 in enumerate(good_cells):\n", + " intersect = len(set(cell_1).intersection(cell_2))\n", + " if intersect == 2:\n", + " current_group.append(cell_2)\n", + " # Remove it from all the good cells\n", + " _ = good_cells.pop(i)\n", + " if len(current_group)>2:\n", + " cell_groups.append(current_group)\n", + " except IndexError:\n", + " break\n", "\n", - "for eig_f, c, l in zip(eig_files[::3], ['#72A1C3', '#9072C3', '#C372B3'], ['T11', 'T21', 'T31']):\n", - " eigs = np.load(eig_f)\n", - " plt.vlines([eigs[0], eigs[-1]], 0, partials[-1], color=[c, c], label=l)\n", - "plt.legend()" + " \n", + " " ] }, { "cell_type": "code", - "execution_count": 463, + "execution_count": 2057, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] }, "metadata": { @@ -270,66 +321,56 @@ } ], "source": [ - "mesh = FEMOL.mesh.guitar(L=1, lcar=0.04)\n", - "mode1 = -np.load('Results/guitar_modes/guitar_mode_T11_lcar04.npy')\n", - "mode2 = np.load('Results/guitar_modes/guitar_mode_T21_lcar04.npy')\n", - "mode3 = np.load('Results/guitar_modes/guitar_mode_T31_lcar04.npy')\n", - "modeT = 0.4*mode1 + 0.4*mode2 + 0.4*mode3\n", - "mesh.plot.mode(modeT)" + "#good_cells = np.array([cell for cell in mesh.cells['quad'] if all(ci in good_nodes for ci in cell)])\n", + "all_mesh = []\n", + "fig, axs = plt.subplots(len(cell_groups)//2 + len(cell_groups)%2, 2, figsize=(8, 14))\n", + "for i, group in enumerate(cell_groups):\n", + " plt.sca(axs.flatten()[i])\n", + " test_mesh = FEMOL.mesh.Mesh(mesh.points, {'triangle':np.array(group)})\n", + " test_mesh.point_data['zc'] = zc[np.unique(group)]\n", + " test_mesh.plot.point_data('zc')\n", + " FEMOL.utils.guitar_outline2(L=0.48)\n", + " axs.flatten()[i].set_title(i)\n", + " all_mesh.append(test_mesh)\n", + "for i in range(len(axs.flatten()) - len(cell_groups)):\n", + " axs.flatten()[-(i+1)].set_axis_off()" ] }, { "cell_type": "code", - "execution_count": 466, + "execution_count": 2066, "metadata": {}, - "outputs": [ - { - "data": { - "image/png": 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\n", 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\n", 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\n", 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\n", 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" ] @@ -341,72 +382,44 @@ } ], "source": [ - "mesh.plot.mode(modeT)" + "for ci in np.array(all_mesh)[[1, 2, 6]]:\n", + " ci.plot.point_data('zc')\n", + "FEMOL.utils.guitar_outline2(L=0.480)" ] }, { "cell_type": "code", - "execution_count": 507, + "execution_count": 1363, "metadata": {}, "outputs": [ - { - "name": "stdout", - "output_type": "stream", - "text": [ - "solving SIMP problem for mode T11 2022-03-31_13_43_26\n", - "Solving using scipy.linalg.eigh(K, M)\n", - "solved in 2.854745864868164 s\n", - "Best mac match (fast solver) : 0.9244102160448486\n", - "Iteration : 1, Variation : 0.27737529221420865, EigenVal : 160.71908001033597\n", - "Best mac match (fast solver) : 0.22040960716588273\n", - "Iteration : 2, Variation : 0.30000000000000004, EigenVal : 163.0338850022923\n", - "Best mac match (fast solver) : 0.20349323455524146\n", - "Iteration : 3, Variation : 0.24566982828293682, EigenVal : 168.60499288234072\n", - "Best mac match (fast solver) : 0.20825592571435625\n", - "Iteration : 4, Variation : 0.1968893287471255, EigenVal : 170.5667571007929\n", - "Best mac match (fast solver) : 0.22072377697599393\n", - "Iteration : 5, Variation : 0.13042437452007838, EigenVal : 170.8287518259197\n", - "Best mac match (fast solver) : 0.23241202397552682\n", - "Iteration : 6, Variation : 0.08966997955474887, EigenVal : 170.84446575598494\n", - "Best mac match (fast solver) : 0.24449386517378932\n", - "Iteration : 7, Variation : 0.07098914578430648, EigenVal : 170.69541663328204\n", - "Best mac match (fast solver) : 0.25471149555129335\n", - "Iteration : 8, Variation : 0.06389513688322235, EigenVal : 170.49803066521585\n", - "Best mac match (fast solver) : 0.2625971172715528\n", - "Iteration : 9, Variation : 0.05808392225206993, EigenVal : 170.32569518308304\n", - "Best mac match (fast solver) : 0.268339668337543\n", - "Iteration : 10, Variation : 0.051297275577993795, EigenVal : 170.19195227832898\n", - "Successful solve for mode T11\n" - ] - }, { "data": { + "image/png": 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\n", "text/plain": [ - "" + "
" ] }, - "execution_count": 507, - "metadata": {}, - "output_type": "execute_result" + "metadata": { + "needs_background": "light" + }, + "output_type": "display_data" } ], "source": [ - "prob = FEMOL.problems.GuitarSimpVibe(mode='T11', mesh_lcar=0.05, volfrac=0.27, p=1)\n", - "prob.solve(mesh_filename='TOM_guit_test', \n", - " eigvals_filename='eigs_guit_test', \n", - " eigvecs_filename='vecs_guit_test', \n", - " converge=0.05, max_iter=10,\n", - " save=True)" + "m = FEMOL.mesh.load_vtk(mesh_files[-2])\n", + "m.cell_to_point_data('zc')\n", + "m.plot.point_data('zc', cmap='Greys')\n", + "FEMOL.utils.guitar_outline2(L=1)" ] }, { "cell_type": "code", - "execution_count": 525, + "execution_count": 1853, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -418,24 +431,41 @@ } ], "source": [ - "from matplotlib import transforms\n", + "v = np.linspace(0,1)\n", "\n", - "base = plt.gca().transData\n", - "rot = transforms.Affine2D().rotate_deg(90)\n", + "r, g, b = cm.jet(v).T[:3]\n", "\n", - "mesh.plot.point_data('X', wrapped=Fal)" + "plt.plot(v,r,'r')\n", + "r2 = -3.5*abs(v - 0.77) + 1.4\n", + "r2 = np.min([r2, np.ones_like(r2)], axis=0)\n", + "r2 = np.max([r2, np.zeros_like(r2)], axis=0)\n", + "plt.plot(v, r2, '--r')\n", + "\n", + "plt.plot(v,g,'g')\n", + "g2 = -3.5*abs(v - 0.51) + 1.4\n", + "g2 = np.min([g2, np.ones_like(g2)], axis=0)\n", + "g2 = np.max([g2, np.zeros_like(g2)], axis=0)\n", + "plt.plot(v, g2, '--g')\n", + "\n", + "plt.plot(v,b,'b')\n", + "b2 = -3.5*abs(v - 0.23) + 1.4\n", + "b2 = np.min([b2, np.ones_like(g2)], axis=0)\n", + "b2 = np.max([b2, np.zeros_like(g2)], axis=0)\n", + "plt.plot(v, b2, '--b')\n", + "\n", + "plt.grid('on')" ] }, { "cell_type": "code", - "execution_count": 520, + "execution_count": 1965, "metadata": {}, "outputs": [ { "data": { - "image/png": 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\n", 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\n", "text/plain": [ - "
" + "
" ] }, "metadata": { @@ -445,30 +475,29 @@ } ], "source": [ - "mesh = FEMOL.mesh.load_vtk('Results/_topopt_cache/TOM_guit_test.vtk')\n", - "eigvals = np.load('Results/_topopt_cache/eigs_guit_test.npy')\n", - "eigvecs = np.load('Results/_topopt_cache/vecs_guit_test.npy')\n", + "v = np.linspace(0,1)\n", "\n", - "keys = [f'X{i}' for i in range(1, 10)]\n", - "keys.append('X')\n", - "modes = ['T11', 'T21', 'T12', 'T31']\n", + "r, g, b = cm.afmhot(v).T[:3]\n", "\n", - "fig, axs = plt.subplots(10, 5, figsize=(12, 20))\n", + "plt.plot(v,r,'r')\n", + "r2 = -4.27*v**4 +11.34*v**3 -7.5*v**2 + 1.21*v + 0.24\n", + "r2 = np.min([r2, np.ones_like(r2)], axis=0)\n", + "r2 = np.max([r2, np.zeros_like(r2)], axis=0)\n", + "plt.plot(v, r2, '--r')\n", "\n", - "for i in range(10):\n", - " mesh.cell_to_point_data(keys[i])\n", - " ax = axs[i][0]\n", - " plt.sca(ax)\n", - " mesh.plot.point_data(keys[i], cmap='Greys')\n", - " FEMOL.utils.guitar_outline2(L=1)\n", - " ax.set_title('topology')\n", - " for j in range(4):\n", - " ax = axs[i][j+1]\n", - " plt.sca(ax)\n", - " mesh.plot.mode(eigvecs[i][j])\n", - " ax.set_title(f'freq: {int(np.round(eigvals[i][j]))} Hz')\n", + "plt.plot(v,g,'g')\n", + "g2 = -0.176*v**3 -0.17*v**2 + 1.245*v + 0.0156\n", + "g2 = np.min([g2, np.ones_like(g2)], axis=0)\n", + "g2 = np.max([g2, np.zeros_like(g2)], axis=0)\n", + "plt.plot(v, g2, '--g')\n", + "\n", + "plt.plot(v,b,'b')\n", + "b2 = 1.31*v**4 -2.29*v**3 -0.25*v**2 + 0.94*v + 0.35\n", + "b2 = np.min([b2, np.ones_like(g2)], axis=0)\n", + "b2 = np.max([b2, np.zeros_like(g2)], axis=0)\n", + "plt.plot(v, b2, '--b')\n", "\n", - "plt.tight_layout()" + "plt.grid('on')" ] }, { diff --git a/FEMOL/FEM.py b/FEMOL/FEM.py index 7e82f20..e59fc44 100755 --- a/FEMOL/FEM.py +++ b/FEMOL/FEM.py @@ -192,17 +192,20 @@ def solve(self, verbose=True, filtre=0, solve_from_zc=False, h_min=0, modal_solv :return: FEM Result class associated to the Problem kind """ if self.physics == 'displacement': - return self._displacement_solve(verbose=verbose) + return self._displacement_solve(verbose=verbose, solve_from_zc=solve_from_zc, h_min=h_min) elif self.physics == 'modal': return self._modal_solve(verbose=verbose, solve_from_zc=solve_from_zc, filtre=filtre, h_min=h_min, modal_solver=modal_solver, sigma=sigma) - def _displacement_solve(self, verbose): + def _displacement_solve(self, verbose, solve_from_zc=False, h_min=0): """ General displacement solving function to allow multiple handling linear solvers""" # Assemble if not assembled if not hasattr(self, 'K'): - self.assemble('K') + if not solve_from_zc: + self.assemble('K') + else: + self._assemble_K(user_data=self._K_variable_core_laminate_data(h_min=h_min)) # Solve with scipy U = self._scipy_displacement_solve(verbose=verbose) # add the solution to the mesh diff --git a/FEMOL/TOM.py b/FEMOL/TOM.py index 0eefb2e..17d338d 100755 --- a/FEMOL/TOM.py +++ b/FEMOL/TOM.py @@ -152,16 +152,6 @@ def save_TOM_iteration(self, msh_file, eig_file, vec_file): else: np.save(eig_file, np.array(self.lmbds)) - def save_guitar_modes(self, vecfile, eigfile): - """ - Function saving the guitar modes from the modal solve result - :param eigfile: file base name for eigenfrequencies - :param vecfile: file base name for eigenvectors - :return: None - """ - np.save(self.save_root + vecfile, np.array(self.guit_vecs)) - np.save(self.save_root + eigfile, np.array(self.guit_freqs)) - def check_convergence(self, converge, min_iter, max_iter, convergence_criteria): """ Method to check the convergence for the current iteration diff --git a/FEMOL/domains.py b/FEMOL/domains.py index 9a2c1c2..99f54fc 100755 --- a/FEMOL/domains.py +++ b/FEMOL/domains.py @@ -131,9 +131,7 @@ def ellipse(x): # Ellipse domain function def domain(x, y): - Ri = (x - h) ** 2 / (a - eps) ** 2 + (y - k) ** 2 / (b - eps) ** 2 - if Ri < 1: return False else: @@ -153,8 +151,8 @@ def outside_guitar(L): # Right ellipse elc2 = (0.8175 * L, 0.38 * L) - elsa2 = (0.8175 * L, 0.09) - elso2 = (1, 0.38 * L) + elsa2 = (0.8175 * L, 0.09*L) + elso2 = (1*L, 0.38 * L) ellipse2 = outside_ellipse(elc2, elsa2, elso2) # Top and bottom curves @@ -249,3 +247,8 @@ def fixed_guitar(x, y): return False return fixed_guitar + + +def top_brace(L=1): + domain = inside_box([[0.8175 * L - (L/30), 0.8175 * L + (L/20)]], [[0, L]]) + return domain diff --git a/FEMOL/materials.py b/FEMOL/materials.py index 9afee71..33859fa 100755 --- a/FEMOL/materials.py +++ b/FEMOL/materials.py @@ -134,9 +134,6 @@ def G_mat(self, angle): [0, Gyz]]) - - - class IsotropicMaterial(object): def __init__(self, E, mu, rho): diff --git a/FEMOL/mesh.py b/FEMOL/mesh.py index 0c142bb..1b6c920 100755 --- a/FEMOL/mesh.py +++ b/FEMOL/mesh.py @@ -575,7 +575,7 @@ def point_data_to_STL(self, filename, which, hb=1, hc=0, symmetric=False, scale= else: # if there is only a base z_top = hb * self.point_data[which] - z_bot = np.ones((self.points.shape[0])) * self.point_data[which].min() + z_bot = np.zeros(self.points.shape[0]) # points at the top points1[:, 2] = z_top @@ -616,7 +616,6 @@ def point_data_to_STL(self, filename, which, hb=1, hc=0, symmetric=False, scale= tris = np.vstack([tris1, tris2, tris3]) cells = [('triangle', tris)] - points *= scale meshio_mesh = meshio.Mesh(points, cells) meshio_mesh.write(filename + '.stl') @@ -1054,7 +1053,6 @@ def guitar_sym(L=1, lcar=0.05, option='quad', algorithm=1): # Ellipse 2 elc2 = (0.8175 * L, 0.38 * L) elh2 = 0.58 * L - # Left top ellipse elsa1 = geom.add_point(p0, lcar) elce1 = geom.add_point(elc1, lcar) diff --git a/FEMOL/problems.py b/FEMOL/problems.py index 1eadbe7..5de6cc3 100644 --- a/FEMOL/problems.py +++ b/FEMOL/problems.py @@ -2,6 +2,59 @@ import numpy as np +class GuitarDeflexion(object): + + # materials + n_plies_carbon = 2 + n_plies_flax = 9 + plies_flax = [0, 0, 0, 0, 0, 0, 0, 0, 0] + flax = FEMOL.materials.general_flax() # material from library + carbon = FEMOL.materials.general_carbon() + + def __init__(self, lcar=0.03, + h_flax=0.0025, h_carbon=0.0002, hc_opt=0.010, + plies_carbon=None, factor=0.480, core_data_file=None): + + # mesh + self.mesh = FEMOL.mesh.guitar_sym(L=1, lcar=lcar) + self.factor = factor + self.core_file = core_data_file + + # Ply thickness + self.flax.hi = h_flax / self.n_plies_flax + self.carbon.hi = h_carbon / self.n_plies_carbon + # layups + h = hc_opt + h_flax + h_carbon + if plies_carbon is None: + plies_carbon = [0, 90] + z_flax = -h / 2 + (self.n_plies_flax / 2) * self.flax.hi + self.flax_layup = FEMOL.laminate.Layup(material=self.flax, plies=self.plies_flax, symetric=False, z_core=z_flax) + z_carbon = h / 2 - (self.n_plies_carbon / 2) * self.carbon.hi + self.carbon_layup = FEMOL.laminate.Layup(material=self.carbon, plies=plies_carbon, symetric=False, z_core=z_carbon) + + def construct_FEM_problem(self): + + # Create a FEM Problem from the mesh (compute displacement with a plate bending model) + problem = FEMOL.FEM_Problem(mesh=self.mesh, physics='displacement', model='plate') + + problem.add_fixed_domain(FEMOL.domains.outside_guitar(L=1)) + problem.define_materials(self.flax, self.carbon) + problem.define_tensors(self.flax_layup, self.carbon_layup) + x_values = [0.135 / self.factor, 0.165 / self.factor] + y_values = [0.095 / self.factor, 0.265 / self.factor] + bridge = FEMOL.domains.inside_box([x_values], [y_values]) + # string tension + problem.add_forces([0, 0, 0, -21, 0, 0], bridge) + zc_mesh = FEMOL.mesh.load_vtk(self.core_file) + zc_mesh.cell_data['zc'] = FEMOL.utils.add_top_brace_to_zc(zc_mesh, zc_mesh.cell_data['zc'], 0.010) + problem.mesh.cell_data['zc'] = zc_mesh.cell_data['zc'] + return problem + + def solve(self, h_min=0): + problem = self.construct_FEM_problem() + return problem.solve(solve_from_zc=True, h_min=h_min) + + class GuitarSimpVibe(object): """ Class containing a guitar Topology optimization problem""" # problem data @@ -67,42 +120,39 @@ def solve(self, save=True, plot=False, verbose=True, **kwargs): class GuitarModal(object): """ Class representing a guitar modal analysis problem""" - hc_opt = 0.010 # optimized core thickness - h_flax = 0.003 - h_carbon = 0.000250 n_plies_carbon = 2 n_plies_flax = 9 - - # flax material definition - flax = FEMOL.materials.general_flax() # material from library - flax.hi = h_flax / n_plies_flax # carbon material definition - carbon = FEMOL.materials.general_carbon() - carbon.hi = h_carbon/n_plies_carbon - - # Laminates definitions - h = hc_opt + h_flax + h_carbon - # Reference layups - plies_flax = [0, 0, 0, 0, 0, 0, 0, 0, 0] - flax_layup = FEMOL.laminate.Layup(material=flax, plies=plies_flax, symetric=False, - z_core=-h / 2 + (n_plies_flax / 2) * flax.hi) - plies_carbon = [90, 90] - carbon_layup = FEMOL.laminate.Layup(material=carbon, plies=plies_carbon, symetric=False, - z_core=h / 2 - (n_plies_carbon / 2) * carbon.hi) - def __init__(self, mesh_lcar=0.04): + def __init__(self, mesh_lcar=0.03, + hc_opt=0.010, h_flax=0.003, h_carbon=0.000250, + plies_flax=None, plies_carbon=None): + # Mesh definition self.mesh = FEMOL.mesh.guitar_sym(lcar=mesh_lcar) self.lcar = mesh_lcar - + # Materials and layups + flax = FEMOL.materials.general_flax() # material from library + flax.hi = h_flax / self.n_plies_flax + carbon = FEMOL.materials.general_carbon() + carbon.hi = h_carbon / self.n_plies_carbon + h = hc_opt + h_flax + h_carbon + if plies_flax is None: + plies_flax = [0, 0, 0, 0, 0, 0, 0, 0, 0] + if plies_carbon is None: + plies_carbon = [90, 90] + flax_layup = FEMOL.laminate.Layup(material=flax, plies=plies_flax, symetric=False, + z_core=-h / 2 + (self.n_plies_flax / 2) * flax.hi) + carbon_layup = FEMOL.laminate.Layup(material=carbon, plies=plies_carbon, symetric=False, + z_core=h / 2 - (self.n_plies_carbon / 2) * carbon.hi) # FEM problems definition self.problem = FEMOL.FEM_Problem(mesh=self.mesh, physics='modal', model='plate') - self.problem.define_materials(self.flax, self.carbon) - self.problem.define_tensors(self.flax_layup, self.carbon_layup) + self.problem.define_materials(flax, carbon) + self.problem.define_tensors(flax_layup, carbon_layup) self.problem.add_fixed_domain(FEMOL.domains.outside_guitar(L=1)) - def solve(self, mac_find=True): + def solve(self, mac_find=True, **kwargs): # Solve the reference problem - w_opt, v_opt = self.problem.solve() + w_opt, v_opt = self.problem.solve(**kwargs) if mac_find: # Find guitar reference eigenfrequencies and vectors modes = ['T11', 'T21', 'T12', 'T31'] diff --git a/FEMOL/utils.py b/FEMOL/utils.py index 6bb6b0a..3672350 100755 --- a/FEMOL/utils.py +++ b/FEMOL/utils.py @@ -4,7 +4,7 @@ import matplotlib.pyplot as plt from matplotlib import animation import datetime -from scipy.interpolate import griddata +from scipy.interpolate import griddata, interp1d """ Plot/Validation functions @@ -196,13 +196,13 @@ def guitar_outline2(L): y = p[0] * x ** 3 + p[1] * x ** 2 + p[2] * x + p[3] ax.plot(x, y, color='k') # Top 2 - p = FEMOL.domains.create_polynomial(0.625 * L, 0.71225 - 0.1645 / 2, 0.8175 * L, 0.67, 0) - x = np.linspace(0.625, 0.8175, 100) + p = FEMOL.domains.create_polynomial(0.625 * L, 0.71225*L - 0.1645*L / 2, 0.8175 * L, 0.67*L, 0) + x = np.linspace(0.625*L, 0.8175*L, 100) y = p[0] * x ** 3 + p[1] * x ** 2 + p[2] * x + p[3] ax.plot(x, y, color='k') # Bot 1 - p = FEMOL.domains.create_polynomial(0.625 * L, 0.04775 + 0.1645 / 2, 0.8175 * L, 0.09, 0) - x = np.linspace(0.625, 0.8175, 100) + p = FEMOL.domains.create_polynomial(0.625 * L, 0.04775*L + 0.1645*L / 2, 0.8175 * L, 0.09*L, 0) + x = np.linspace(0.625*L, 0.8175*L, 100) y = p[0] * x ** 3 + p[1] * x ** 2 + p[2] * x + p[3] ax.plot(x, y, color='k') # Bot 2 @@ -497,6 +497,17 @@ def interpolate_vector(old_vector, old_mesh, new_mesh, N_dof=6): return new_vector +def interpolate_point_data(old_data, old_mesh, new_mesh): + """ interpolate point data onto a new mesh""" + # Interpolate at the new mesh points + data_linear = griddata(old_mesh.points[:, :2], old_data, new_mesh.points[:, :2], method='linear') + data_near = griddata(old_mesh.points[:, :2], old_data, new_mesh.points[:, :2], method='nearest') + new_data = data_linear + # Use the nearest value where the linear value is NaN (boundary) + new_data[np.isnan(data_linear)] = data_near[np.isnan(data_linear)] + return new_data + + def analyse_mesh(meshfile, eigvalfile=None, mode=None): # Load the data mesh = FEMOL.mesh.load_vtk(meshfile) @@ -521,3 +532,105 @@ def analyse_mesh(meshfile, eigvalfile=None, mode=None): title = f'TOM results {key} eigfreq {int(np.round(eig))} Hz' ax.set_title(title) + +def plot_soundboard_deflexion(mesh): + """ Function to plot the soundboard deflexion analysis""" + + def align_yaxis_np(ax1, ax2): + """Align zeros of the two axes, zooming them out by same ratio""" + axes = np.array([ax1, ax2]) + extrema = np.array([ax.get_ylim() for ax in axes]) + tops = extrema[:, 1] / (extrema[:, 1] - extrema[:, 0]) + # Ensure that plots (intervals) are ordered bottom to top: + if tops[0] > tops[1]: + axes, extrema, tops = [a[::-1] for a in (axes, extrema, tops)] + + # How much would the plot overflow if we kept current zoom levels? + tot_span = tops[1] + 1 - tops[0] + + extrema[0, 1] = extrema[0, 0] + tot_span * (extrema[0, 1] - extrema[0, 0]) + extrema[1, 0] = extrema[1, 1] + tot_span * (extrema[1, 0] - extrema[1, 1]) + [axes[i].set_ylim(*extrema[i]) for i in range(2)] + + x_points = mesh.points[np.isclose(mesh.points[:, 1], (0.76 / 2)), 0] + idxs = np.argsort(x_points) + displacement = mesh.point_data['Uz'][np.isclose(mesh.points[:, 1], (0.76 / 2))][idxs] + x_points = x_points[idxs] + + f = interp1d(x_points, displacement, kind='quadratic') + x1 = np.linspace(0, 0.6) + x2 = np.linspace(0.78, 1) + T1 = -np.degrees(np.arctan2(f(x1)[1:] - f(x1)[:-1], x1[1:] - x1[:-1])) + T2 = -np.degrees(np.arctan2(f(x2)[1:] - f(x2)[:-1], x2[1:] - x2[:-1])) + T_max = np.max(np.abs(np.hstack([T1, T2]))) + + fig, ax1 = plt.subplots() + ax1.plot(x1, f(x1) * 1000, color='#743F0B', label='deflexion') + ax1.plot(x2, f(x2) * 1000, color='#743F0B') + ax1.plot([0, 1], [0, 0], '--', color='0.6') + ax1.set_ylim(-2, 5) + ax1.plot([], [], linestyle='--', color='k', label='angle') + ax1.set_xlabel('normalized distance across soundboard') + + ax2 = ax1.twinx() + ax2.plot(x1[1:], T1, linestyle='--', color='k', label='angle') + ax2.plot(x2[1:], T2, linestyle='--', color='k') + + ax1.legend() + ax1.set_ylabel('Deflexion (mm)') + ax2.set_ylabel('Normal angle (degrees)') + ax1.grid('on') + ax1.set_xlim(0, 1) + align_yaxis_np(ax1, ax2) + + return T_max + + +def topology_info(mesh, h_min=0, scale=0.480): + """ Function printing the topology info from a mesh""" + Mf = flax_mass(mesh) + Vcore = core_volume(mesh, h_min=h_min) + Mpla = Vcore * 1.25 * 0.2 + print(f'pla mass: {np.around(Mpla, 1)} g') + Mcarbon = carbon_mass(mesh, h_min=h_min) + print(f'ratio brace/board {np.around((Mcarbon + Mpla) / Mf, 2)}') + + +def core_volume(mesh, h_min=0.002, scale=0.480): + """ Function computing the volume of a core of a topology result""" + h = mesh.cell_data['zc']['quad'] + h[h < h_min] = 0 + A = mesh.element_areas()['quad'] * (scale ** 2) + print(f'core volume: {np.around(np.sum(h * A) * (100 ** 3), 2)} cm^3') + return np.sum(h * A) * (100 ** 3) + + +def flax_mass(mesh, t=0.0025, scale=0.480): + """ Function computing the flax mass of a board from a mesh""" + A = mesh.element_areas()['quad'] * (scale ** 2) + flax = FEMOL.materials.general_flax() + V = np.sum(A * t) # m3 + M = V * flax.rho + return 1000 * M + + +def carbon_mass(mesh, t=0.00025, h_min=0, scale=0.480): + """ Fonction computing the carbon mass from a topology result""" + A = mesh.element_areas()['quad'] * (scale ** 2) + h = mesh.cell_data['zc']['quad'] + flax = FEMOL.materials.general_carbon() + V = np.sum(A[h > h_min] * t) # m3 + M = V * flax.rho + M *= 1000 + print(f'carbon mass: {np.around(M, 1)} g') + return M + + +def add_top_brace_to_zc(mesh, zc, hc): + """ Add a top brace to the core height cell data of a mesh""" + domain = FEMOL.domains.top_brace(L=1) + for i, element in enumerate(mesh.cells[mesh.contains[0]]): + if np.array([domain(*coord[:2]) for coord in mesh.points[element]]).all(): + zc[mesh.contains[0]][i] = hc + return zc + diff --git a/eigen_values_lcar03_T11_2022-03-31_23_00_57.npy b/eigen_values_lcar03_T11_2022-03-31_23_00_57.npy deleted file mode 100644 index 771a9a111153a297931132df0e950cf48cd49943..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 328 zcmbR27wQ`j$;eQ~P_3SlTAW;@Zl$1ZlV+i=qoAIaUsO_*m=~X4l#&V(cT3DEP6dh= zXCxM+0{I$7raGEB3bhL41FkT)#okFh$qo|#HQ%s(O>y|TSfZlRAl0GqSfi=9Q>sJt zFNN$=K>nAAg)b+|r#c8P?p4(n^*zio;#|)MooTDGpb%!WsYH zPH_<7^0^QL{T5*#Kz*Zg6$AkpE=rETgT_9QyI(wlC$<{*&& z?&3K=Ape({#hH*zi4KKxr%zwCEYYErXTpV&S&0tJ-kUl*`x6}!UcC#M)tcy_YI?4D zQB9(QXrA=Jc_oPs$D6nJTjeG?tPA~BGBqvHVQ2W$S$zqK4!ZZwUe=6GbnpqPpOh1p z=n#0lZ%0&6qQk{Y7bC9vB|6;v)$s6wH&9>ow}&B~i4Ny#Y}``a6CGT*o@jk=O?2>2 SEm{A^CDEa@CqvH(NCN;KZ+hGS diff --git 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zyh5|Xlb=#k6y=&7b{{=^tyQMk!E$$8b+~l1gV@bVt3s(}2k)!jqW1yKDc-EJ*W9n! zA=12*t3RvRAvm}pJgC0ep|0@NpO&6xhZZU24ZYKw9e5eP3c4%;>U(`;Li5umhqTH& SQw#)~9kS;uNW4*Mb^rh}adOiD diff --git a/guitar_lcar03_T11_0_90.py b/guitar_lcar03_T11_0_90.py deleted file mode 100644 index bde247c..0000000 --- a/guitar_lcar03_T11_0_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T11', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[0, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T11_0_90", eigvals_filename="eigvals_lcar03_T11_0_90", eigvecs_filename="eigvecs_lcar03_T11_0_90") diff --git a/guitar_lcar03_T11_0_90.txt b/guitar_lcar03_T11_0_90.txt deleted file mode 100644 index 5f59169..0000000 --- a/guitar_lcar03_T11_0_90.txt +++ /dev/null @@ -1,31 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [0, 90] % -solving SIMP problem for mode T11 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 783.0090780258179 s -Best mac match (fast solver) : 0.9245316928579446 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 158.75395518357098 -Best mac match (fast solver) : 0.20529675122308902 -Iteration : 2, Variation : 0.30000000000000004, EigenVal : 172.78239690079164 -Best mac match (fast solver) : 0.2837708332859232 -Iteration : 3, Variation : 0.23434296119660725, EigenVal : 175.6971219297552 -Best mac match (fast solver) : 0.31117158393720423 -Iteration : 4, Variation : 0.17475794787653498, EigenVal : 176.53347139329225 -Best mac match (fast solver) : 0.3060381250606938 -Iteration : 5, Variation : 0.11484906607811995, EigenVal : 176.17100094491937 -Best mac match (fast solver) : 0.2953570875085974 -Iteration : 6, Variation : 0.09603133143267018, EigenVal : 175.51078716677569 -Best mac match (fast solver) : 0.28214180959152385 -Iteration : 7, Variation : 0.07858625685213605, EigenVal : 174.76455265775604 -Best mac match (fast solver) : 0.26980187015500234 -Iteration : 8, Variation : 0.0802146790467223, EigenVal : 174.10854136886076 -Best mac match (fast solver) : 0.25905495785905536 -Iteration : 9, Variation : 0.06202787978236246, EigenVal : 173.56885001109475 -Best mac match (fast solver) : 0.2506038583170767 -Iteration : 10, Variation : 0.06338945067295387, EigenVal : 173.1607004418492 -Best mac match (fast solver) : 0.24453395132319689 -Iteration : 11, Variation : 0.05975199470912418, EigenVal : 172.8716454703337 diff --git a/guitar_lcar03_T11_45_-45.py b/guitar_lcar03_T11_45_-45.py deleted file mode 100644 index bcfd8ed..0000000 --- a/guitar_lcar03_T11_45_-45.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T11', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[45, -45]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T11_45_-45", eigvals_filename="eigvals_lcar03_T11_45_-45", eigvecs_filename="eigvecs_lcar03_T11_45_-45") diff --git a/guitar_lcar03_T11_45_-45.txt b/guitar_lcar03_T11_45_-45.txt deleted file mode 100644 index 14834fd..0000000 --- a/guitar_lcar03_T11_45_-45.txt +++ /dev/null @@ -1,60 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [45, -45] % -solving SIMP problem for mode T11 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 649.79469871521 s -Best mac match (fast solver) : 0.9411352768146136 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 156.3869989575348 -Best mac match (fast solver) : 0.1154350016081245 -Iteration : 2, Variation : 0.30000000000000004, EigenVal : 167.65709503366884 -Best mac match (fast solver) : 0.15584387942839267 -Iteration : 3, Variation : 0.23708945619893174, EigenVal : 169.5148277741679 -Best mac match (fast solver) : 0.17160943283149202 -Iteration : 4, Variation : 0.16646664169429815, EigenVal : 170.06533313128242 -Best mac match (fast solver) : 0.16124182930866132 -Iteration : 5, Variation : 0.12108531645537823, EigenVal : 169.52470928612806 -Best mac match (fast solver) : 0.1512920278431581 -Iteration : 6, Variation : 0.0832511723906405, EigenVal : 168.98680573952845 -Best mac match (fast solver) : 0.1433179629240411 -Iteration : 7, Variation : 0.06512840189622326, EigenVal : 168.53676202453116 -Best mac match (fast solver) : 0.13659113273416823 -Iteration : 8, Variation : 0.05730051933370206, EigenVal : 168.14226830300152 -Best mac match (fast solver) : 0.13093517481952796 -Iteration : 9, Variation : 0.05291517362143294, EigenVal : 167.80014887683785 -Best mac match (fast solver) : 0.12657304662788815 -Iteration : 10, Variation : 0.05027266614375825, EigenVal : 167.52435379312016 -Best mac match (fast solver) : 0.12346123219864405 -Iteration : 11, Variation : 0.056525918598269276, EigenVal : 167.312967765344 -Best mac match (fast solver) : 0.12145564673947738 -Iteration : 12, Variation : 0.056575459255004845, EigenVal : 167.15968078618502 -Best mac match (fast solver) : 0.12018546237579453 -Iteration : 13, Variation : 0.052802768355766916, EigenVal : 167.04650682487755 -Best mac match (fast solver) : 0.11950351962947409 -Iteration : 14, Variation : 0.05467129355379441, EigenVal : 166.96606762642278 -Best mac match (fast solver) : 0.11931345259994543 -Iteration : 15, Variation : 0.05536883898707623, EigenVal : 166.91402536793106 -Best mac match (fast solver) : 0.11945053148002809 -Iteration : 16, Variation : 0.046818833584765684, EigenVal : 166.88275308394705 -Best mac match (fast solver) : 0.11993925694447383 -Iteration : 17, Variation : 0.05005008889561069, EigenVal : 166.87487856935206 -Best mac match (fast solver) : 0.12070288624833213 -Iteration : 18, Variation : 0.05100899744995635, EigenVal : 166.88632979251327 -Best mac match (fast solver) : 0.12170408760890446 -Iteration : 19, Variation : 0.05225734513428626, EigenVal : 166.9150798021908 -Best mac match (fast solver) : 0.12292234957699731 -Iteration : 20, Variation : 0.051747986823307945, EigenVal : 166.9600264931965 -Best mac match (fast solver) : 0.12435389283220634 -Iteration : 21, Variation : 0.051322611472201296, EigenVal : 167.02079479270336 -Best mac match (fast solver) : 0.12591396022981863 -Iteration : 22, Variation : 0.050413711146282014, EigenVal : 167.09218810043123 -Best mac match (fast solver) : 0.12756190929340427 -Iteration : 23, Variation : 0.04877347959592593, EigenVal : 167.1708422910427 -Best mac match (fast solver) : 0.12916918180291664 -Iteration : 24, Variation : 0.04791917838445103, EigenVal : 167.2492845488643 -Best mac match (fast solver) : 0.13055679710012325 -Iteration : 25, Variation : 0.04448371893327907, EigenVal : 167.31774482169487 -Successful solve for mode T11 diff --git a/guitar_lcar03_T11_90_90.py b/guitar_lcar03_T11_90_90.py deleted file mode 100644 index e73404a..0000000 --- a/guitar_lcar03_T11_90_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T11', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[90, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T11_90_90", eigvals_filename="eigvals_lcar03_T11_90_90", eigvecs_filename="eigvecs_lcar03_T11_90_90") diff --git a/guitar_lcar03_T11_90_90.txt b/guitar_lcar03_T11_90_90.txt deleted file mode 100644 index 0226548..0000000 --- a/guitar_lcar03_T11_90_90.txt +++ /dev/null @@ -1,60 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [90, 90] % -solving SIMP problem for mode T11 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 700.3081965446472 s -Best mac match (fast solver) : 0.38585527541659576 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 131.0193038036601 -Best mac match (fast solver) : 0.43596801961869347 -Iteration : 2, Variation : 0.21767107264430385, EigenVal : 141.00622184929355 -Best mac match (fast solver) : 0.4423233773064189 -Iteration : 3, Variation : 0.2246671332963346, EigenVal : 141.90431581218547 -Best mac match (fast solver) : 0.45080108444227995 -Iteration : 4, Variation : 0.17704962291469195, EigenVal : 142.05226974037151 -Best mac match (fast solver) : 0.4633179888365587 -Iteration : 5, Variation : 0.1494138344014596, EigenVal : 141.88462010386104 -Best mac match (fast solver) : 0.47990271735962003 -Iteration : 6, Variation : 0.12010505917981695, EigenVal : 141.5728512857384 -Best mac match (fast solver) : 0.49659307872036984 -Iteration : 7, Variation : 0.12849416697116334, EigenVal : 141.20832423794084 -Best mac match (fast solver) : 0.508440668577434 -Iteration : 8, Variation : 0.10355017156749946, EigenVal : 140.8267596066909 -Best mac match (fast solver) : 0.5149429932476582 -Iteration : 9, Variation : 0.11191047428237522, EigenVal : 140.4855392915998 -Best mac match (fast solver) : 0.5179618376220212 -Iteration : 10, Variation : 0.11003319183620464, EigenVal : 140.17508932746114 -Best mac match (fast solver) : 0.5195596421168681 -Iteration : 11, Variation : 0.09441862150806246, EigenVal : 139.8948382403843 -Best mac match (fast solver) : 0.520123424351465 -Iteration : 12, Variation : 0.10844854126267867, EigenVal : 139.6443791900389 -Best mac match (fast solver) : 0.5204821070746339 -Iteration : 13, Variation : 0.09631808450504875, EigenVal : 139.4133986076615 -Best mac match (fast solver) : 0.5209755715137494 -Iteration : 14, Variation : 0.10367117776522927, EigenVal : 139.20574425595754 -Best mac match (fast solver) : 0.5217080044704343 -Iteration : 15, Variation : 0.0833635616059396, EigenVal : 139.01740784448137 -Best mac match (fast solver) : 0.5227480922844036 -Iteration : 16, Variation : 0.08498022579887043, EigenVal : 138.84885587891168 -Best mac match (fast solver) : 0.5239126686600089 -Iteration : 17, Variation : 0.07975132864909928, EigenVal : 138.70075344912982 -Best mac match (fast solver) : 0.525364074759117 -Iteration : 18, Variation : 0.08313613218839999, EigenVal : 138.57357433222435 -Best mac match (fast solver) : 0.5265483379701625 -Iteration : 19, Variation : 0.07948381787854619, EigenVal : 138.46354332905915 -Best mac match (fast solver) : 0.5277605500893412 -Iteration : 20, Variation : 0.07131327386961472, EigenVal : 138.36924815360433 -Best mac match (fast solver) : 0.5291939001373137 -Iteration : 21, Variation : 0.06595496791215494, EigenVal : 138.2916116537212 -Best mac match (fast solver) : 0.5308468036081985 -Iteration : 22, Variation : 0.07360296969930735, EigenVal : 138.23111259283036 -Best mac match (fast solver) : 0.5326477500700844 -Iteration : 23, Variation : 0.08102371892332533, EigenVal : 138.18556732691843 -Best mac match (fast solver) : 0.5346437841717309 -Iteration : 24, Variation : 0.08839626233222186, EigenVal : 138.15584538205664 -Best mac match (fast solver) : 0.5361881245650982 -Iteration : 25, Variation : 0.07862790229404681, EigenVal : 138.13307876987133 -Successful solve for mode T11 diff --git a/guitar_lcar03_T12_0_90.py b/guitar_lcar03_T12_0_90.py deleted file mode 100644 index f1e5ff4..0000000 --- a/guitar_lcar03_T12_0_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T12', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[0, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T12_0_90", eigvals_filename="eigvals_lcar03_T12_0_90", eigvecs_filename="eigvecs_lcar03_T12_0_90") diff --git a/guitar_lcar03_T12_0_90.txt b/guitar_lcar03_T12_0_90.txt deleted file mode 100644 index 7ca8d2b..0000000 --- a/guitar_lcar03_T12_0_90.txt +++ /dev/null @@ -1,32 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [0, 90] % -solving SIMP problem for mode T12 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 873.6352598667145 s -Best mac match (fast solver) : 0.9802098821952648 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 254.97877692758564 -Best mac match (fast solver) : 0.4056672252544056 -Iteration : 2, Variation : 0.30000000000000004, EigenVal : 77.83487457056172 -Best mac match (fast solver) : 0.3896258508842361 -Iteration : 3, Variation : 0.30000000000000004, EigenVal : 78.484246114177 -Best mac match (fast solver) : 0.3863014333205208 -Iteration : 4, Variation : 0.22996393673689763, EigenVal : 78.68287867963228 -Best mac match (fast solver) : 0.38719485985102853 -Iteration : 5, Variation : 0.15179188408559774, EigenVal : 78.68556855528585 -Best mac match (fast solver) : 0.38811540924714927 -Iteration : 6, Variation : 0.1067958905405807, EigenVal : 78.68109913345066 -Best mac match (fast solver) : 0.3889958772272169 -Iteration : 7, Variation : 0.0714472654185232, EigenVal : 78.67596476006186 -Best mac match (fast solver) : 0.389735551154469 -Iteration : 8, Variation : 0.05219514076849496, EigenVal : 78.67148229001194 -Best mac match (fast solver) : 0.39032494307345805 -Iteration : 9, Variation : 0.041581579142381475, EigenVal : 78.66786499017108 -Best mac match (fast solver) : 0.3907675905680546 -Iteration : 10, Variation : 0.03097247946137216, EigenVal : 78.66517204585192 -Best mac match (fast solver) : 0.39109475015498774 -Iteration : 11, Variation : 0.026623161244361704, EigenVal : 78.66321493923438 -Successful solve for mode T12 diff --git a/guitar_lcar03_T12_45_-45.py b/guitar_lcar03_T12_45_-45.py deleted file mode 100644 index c3fdf85..0000000 --- a/guitar_lcar03_T12_45_-45.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T12', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[45, -45]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T12_45_-45", eigvals_filename="eigvals_lcar03_T12_45_-45", eigvecs_filename="eigvecs_lcar03_T12_45_-45") diff --git a/guitar_lcar03_T12_45_-45.txt b/guitar_lcar03_T12_45_-45.txt deleted file mode 100644 index 67490d6..0000000 --- a/guitar_lcar03_T12_45_-45.txt +++ /dev/null @@ -1,50 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [45, -45] % -solving SIMP problem for mode T12 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 854.972240447998 s -Best mac match (fast solver) : 0.9684677388254315 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 255.48499049802652 -Best mac match (fast solver) : 0.40901155583146176 -Iteration : 2, Variation : 0.30000000000000004, EigenVal : 77.24235517370317 -Best mac match (fast solver) : 0.39154826579446395 -Iteration : 3, Variation : 0.30000000000000004, EigenVal : 78.0199177047904 -Best mac match (fast solver) : 0.3847537404724657 -Iteration : 4, Variation : 0.30000000000000004, EigenVal : 78.30232737428891 -Best mac match (fast solver) : 0.3836100272664241 -Iteration : 5, Variation : 0.29999999999999993, EigenVal : 78.3194529899874 -Best mac match (fast solver) : 0.382738470429272 -Iteration : 6, Variation : 0.24164546149341193, EigenVal : 78.32505893336455 -Best mac match (fast solver) : 0.3819262762341554 -Iteration : 7, Variation : 0.20267645070511353, EigenVal : 78.32548114808736 -Best mac match (fast solver) : 0.3811830502303188 -Iteration : 8, Variation : 0.2038612300848176, EigenVal : 78.32444634585293 -Best mac match (fast solver) : 0.38063232075169634 -Iteration : 9, Variation : 0.149660573862906, EigenVal : 78.32288097000763 -Best mac match (fast solver) : 0.38025530660512646 -Iteration : 10, Variation : 0.1555744277134793, EigenVal : 78.32158451765022 -Best mac match (fast solver) : 0.3799734234013128 -Iteration : 11, Variation : 0.09961804612767011, EigenVal : 78.32042508031076 -Best mac match (fast solver) : 0.37978385232485334 -Iteration : 12, Variation : 0.09648628015018901, EigenVal : 78.31948217697487 -Best mac match (fast solver) : 0.37966952988873026 -Iteration : 13, Variation : 0.09900387561113522, EigenVal : 78.31873219308395 -Best mac match (fast solver) : 0.37959775980250055 -Iteration : 14, Variation : 0.05059588684001015, EigenVal : 78.31813893931553 -Best mac match (fast solver) : 0.3795581398626742 -Iteration : 15, Variation : 0.04827675940457188, EigenVal : 78.31765517749427 -Best mac match (fast solver) : 0.3795422775987614 -Iteration : 16, Variation : 0.043422804635606216, EigenVal : 78.31727019673377 -Best mac match (fast solver) : 0.379541037259847 -Iteration : 17, Variation : 0.038821433891052415, EigenVal : 78.3169545299432 -Best mac match (fast solver) : 0.3795487938681103 -Iteration : 18, Variation : 0.03449994266517953, EigenVal : 78.31668413781912 -Best mac match (fast solver) : 0.3795618984707294 -Iteration : 19, Variation : 0.030469850929599862, EigenVal : 78.31644537200918 -Best mac match (fast solver) : 0.3795791142644266 -Iteration : 20, Variation : 0.026787282581151484, EigenVal : 78.31623467184944 -Successful solve for mode T12 diff --git a/guitar_lcar03_T12_90_90.py b/guitar_lcar03_T12_90_90.py deleted file mode 100644 index c60701c..0000000 --- a/guitar_lcar03_T12_90_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T12', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[90, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T12_90_90", eigvals_filename="eigvals_lcar03_T12_90_90", eigvecs_filename="eigvecs_lcar03_T12_90_90") diff --git a/guitar_lcar03_T12_90_90.txt b/guitar_lcar03_T12_90_90.txt deleted file mode 100644 index 59f841b..0000000 --- a/guitar_lcar03_T12_90_90.txt +++ /dev/null @@ -1,44 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [90, 90] % -solving SIMP problem for mode T12 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 809.8248512744904 s -Best mac match (fast solver) : 0.3629631688144893 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 229.1959049396364 -Best mac match (fast solver) : 0.4476824628368796 -Iteration : 2, Variation : 0.30000000000000004, EigenVal : 74.93944383515456 -Best mac match (fast solver) : 0.4287155722850088 -Iteration : 3, Variation : 0.30000000000000004, EigenVal : 75.95689365893213 -Best mac match (fast solver) : 0.42198747850083024 -Iteration : 4, Variation : 0.30000000000000004, EigenVal : 76.38851763582522 -Best mac match (fast solver) : 0.4226809585778308 -Iteration : 5, Variation : 0.2274643555000655, EigenVal : 76.39279696494825 -Best mac match (fast solver) : 0.4235968978698551 -Iteration : 6, Variation : 0.1640327834154054, EigenVal : 76.39146205171518 -Best mac match (fast solver) : 0.42458841251034973 -Iteration : 7, Variation : 0.11914089109665704, EigenVal : 76.38954980389576 -Best mac match (fast solver) : 0.425556107126992 -Iteration : 8, Variation : 0.05469251662173458, EigenVal : 76.3875150962136 -Best mac match (fast solver) : 0.42634541715433955 -Iteration : 9, Variation : 0.03841688468268811, EigenVal : 76.38580846945429 -Best mac match (fast solver) : 0.42694296104992285 -Iteration : 10, Variation : 0.03146293878033146, EigenVal : 76.38450942685485 -Best mac match (fast solver) : 0.4273819828430623 -Iteration : 11, Variation : 0.03365567795244412, EigenVal : 76.38356772762734 -Best mac match (fast solver) : 0.42767934790016376 -Iteration : 12, Variation : 0.035119781968957764, EigenVal : 76.38295144213573 -Best mac match (fast solver) : 0.42785839939067377 -Iteration : 13, Variation : 0.03560629657409098, EigenVal : 76.38260751895102 -Best mac match (fast solver) : 0.4279409830419121 -Iteration : 14, Variation : 0.035092331665955157, EigenVal : 76.38248084849646 -Best mac match (fast solver) : 0.4279552076281132 -Iteration : 15, Variation : 0.03376126614436792, EigenVal : 76.38250302735204 -Best mac match (fast solver) : 0.42793128625835325 -Iteration : 16, Variation : 0.03192104008249186, EigenVal : 76.38260164030288 -Best mac match (fast solver) : 0.4278845962034089 -Iteration : 17, Variation : 0.029812924700277632, EigenVal : 76.38274045845314 -Successful solve for mode T12 diff --git a/guitar_lcar03_T21_0_90.py b/guitar_lcar03_T21_0_90.py deleted file mode 100644 index 1d1d228..0000000 --- a/guitar_lcar03_T21_0_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T21', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[0, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T21_0_90", eigvals_filename="eigvals_lcar03_T21_0_90", eigvecs_filename="eigvecs_lcar03_T21_0_90") diff --git a/guitar_lcar03_T21_0_90.txt b/guitar_lcar03_T21_0_90.txt deleted file mode 100644 index 967baab..0000000 --- a/guitar_lcar03_T21_0_90.txt +++ /dev/null @@ -1,39 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [0, 90] % -solving SIMP problem for mode T21 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 806.3046987056732 s -Best mac match (fast solver) : 0.8473291317793794 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 336.88186949143955 -Best mac match (fast solver) : 0.24489290033481692 -Iteration : 2, Variation : 0.22118563439364525, EigenVal : 374.19245950351035 -Best mac match (fast solver) : 0.1925387949442533 -Iteration : 3, Variation : 0.19498993120966135, EigenVal : 380.82151652840093 -Best mac match (fast solver) : 0.24579558279023897 -Iteration : 4, Variation : 0.13859091611091667, EigenVal : 381.7265192742956 -Best mac match (fast solver) : 0.20084552250477122 -Iteration : 5, Variation : 0.10621557687333638, EigenVal : 381.08059938877386 -Best mac match (fast solver) : 0.16526912358557797 -Iteration : 6, Variation : 0.10247399549403857, EigenVal : 380.13828144745474 -Best mac match (fast solver) : 0.14254869818813698 -Iteration : 7, Variation : 0.08098777378413702, EigenVal : 379.2627391669877 -Best mac match (fast solver) : 0.1257846770780506 -Iteration : 8, Variation : 0.07598604968381073, EigenVal : 378.4158389915053 -Best mac match (fast solver) : 0.11304447843640958 -Iteration : 9, Variation : 0.060726550948488445, EigenVal : 377.67457570479985 -Best mac match (fast solver) : 0.10298878200428774 -Iteration : 10, Variation : 0.05502245830360719, EigenVal : 377.04165994248297 -Best mac match (fast solver) : 0.09495699638468359 -Iteration : 11, Variation : 0.046297814505161794, EigenVal : 376.5303494394418 -Best mac match (fast solver) : 0.08824354099082636 -Iteration : 12, Variation : 0.044485544676923006, EigenVal : 376.1290685397774 -Best mac match (fast solver) : 0.08255344006359784 -Iteration : 13, Variation : 0.04642468968451341, EigenVal : 375.8231529776174 -Best mac match (fast solver) : 0.07767333656678176 -Iteration : 14, Variation : 0.04292969681504355, EigenVal : 375.59967008518123 -Best mac match (fast solver) : 0.07640021246715283 -Iteration : 15, Variation : 0.30000000000000004, EigenVal : 355.9655976082801 diff --git a/guitar_lcar03_T21_45_-45.py b/guitar_lcar03_T21_45_-45.py deleted file mode 100644 index bcc5965..0000000 --- a/guitar_lcar03_T21_45_-45.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T21', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[45, -45]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T21_45_-45", eigvals_filename="eigvals_lcar03_T21_45_-45", eigvecs_filename="eigvecs_lcar03_T21_45_-45") diff --git a/guitar_lcar03_T21_45_-45.txt b/guitar_lcar03_T21_45_-45.txt deleted file mode 100644 index 3a81aef..0000000 --- a/guitar_lcar03_T21_45_-45.txt +++ /dev/null @@ -1,42 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [45, -45] % -solving SIMP problem for mode T21 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 846.2030827999115 s -Best mac match (fast solver) : 0.940625611770458 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 337.11057778090026 -Best mac match (fast solver) : 0.23026964619257037 -Iteration : 2, Variation : 0.30000000000000004, EigenVal : 364.5903303797411 -Best mac match (fast solver) : 0.21502130937040612 -Iteration : 3, Variation : 0.2740846003059785, EigenVal : 369.88164570940467 -Best mac match (fast solver) : 0.2402893265993783 -Iteration : 4, Variation : 0.15997846439398877, EigenVal : 370.7541068176023 -Best mac match (fast solver) : 0.28064034117962816 -Iteration : 5, Variation : 0.10899765890156898, EigenVal : 369.81309080409505 -Best mac match (fast solver) : 0.3078205545158475 -Iteration : 6, Variation : 0.09098457375091318, EigenVal : 368.5705235176392 -Best mac match (fast solver) : 0.32416566676256947 -Iteration : 7, Variation : 0.09742961398776673, EigenVal : 367.38750041203787 -Best mac match (fast solver) : 0.333847701968138 -Iteration : 8, Variation : 0.0910343512785905, EigenVal : 366.2636118041434 -Best mac match (fast solver) : 0.33880906270091343 -Iteration : 9, Variation : 0.08499264258709516, EigenVal : 365.24153036363276 -Best mac match (fast solver) : 0.3407591622672986 -Iteration : 10, Variation : 0.0767741986526359, EigenVal : 364.32341603760335 -Best mac match (fast solver) : 0.3403305882947386 -Iteration : 11, Variation : 0.06351082452368684, EigenVal : 363.531337721747 -Best mac match (fast solver) : 0.33832972026558056 -Iteration : 12, Variation : 0.05758143495458912, EigenVal : 362.876934039216 -Best mac match (fast solver) : 0.3351177486855094 -Iteration : 13, Variation : 0.043051253630568054, EigenVal : 362.3692387910538 -Best mac match (fast solver) : 0.3312914536257244 -Iteration : 14, Variation : 0.04009918063590556, EigenVal : 361.99272056614893 -Best mac match (fast solver) : 0.32743989577529264 -Iteration : 15, Variation : 0.03150969032354711, EigenVal : 361.73295206769285 -Best mac match (fast solver) : 0.32384519971748954 -Iteration : 16, Variation : 0.0285077152774178, EigenVal : 361.5658212735872 -Successful solve for mode T21 diff --git a/guitar_lcar03_T21_90_90.py b/guitar_lcar03_T21_90_90.py deleted file mode 100644 index cb11f60..0000000 --- a/guitar_lcar03_T21_90_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T21', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[90, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T21_90_90", eigvals_filename="eigvals_lcar03_T21_90_90", eigvecs_filename="eigvecs_lcar03_T21_90_90") diff --git a/guitar_lcar03_T21_90_90.txt b/guitar_lcar03_T21_90_90.txt deleted file mode 100644 index fa9ccf8..0000000 --- a/guitar_lcar03_T21_90_90.txt +++ /dev/null @@ -1,48 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [90, 90] % -solving SIMP problem for mode T21 2022-03-31_18_23_40 -Solving using scipy.linalg.eigh(K, M) -solved in 552.7635617256165 s -Best mac match (fast solver) : 0.5408954738496726 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 313.4932145276604 -Best mac match (fast solver) : 0.5906692344495654 -Iteration : 2, Variation : 0.20695375800299354, EigenVal : 337.289198172421 -Best mac match (fast solver) : 0.6090917357733744 -Iteration : 3, Variation : 0.20424024697673748, EigenVal : 338.70016785746407 -Best mac match (fast solver) : 0.43018451345138625 -Iteration : 4, Variation : 0.12418850562853823, EigenVal : 337.73138326147307 -Best mac match (fast solver) : 0.4543962636453403 -Iteration : 5, Variation : 0.09746663163657854, EigenVal : 337.0369602370123 -Best mac match (fast solver) : 0.3952544761418716 -Iteration : 6, Variation : 0.0748503244730675, EigenVal : 336.1849897188864 -Best mac match (fast solver) : 0.5054657627597856 -Iteration : 7, Variation : 0.0774925421797732, EigenVal : 335.9029094172053 -Best mac match (fast solver) : 0.20285111067579512 -Iteration : 8, Variation : 0.09299655307324406, EigenVal : 334.46740872891894 -Best mac match (fast solver) : 0.5923415100847744 -Iteration : 9, Variation : 0.11775921564635228, EigenVal : 335.40858194159114 -Best mac match (fast solver) : 0.29829090779085016 -Iteration : 10, Variation : 0.10922280312272925, EigenVal : 335.99402374633746 -Best mac match (fast solver) : 0.4265956218935971 -Iteration : 11, Variation : 0.09166746919819624, EigenVal : 335.7038145773669 -Best mac match (fast solver) : 0.47711762720292467 -Iteration : 12, Variation : 0.07662368870894487, EigenVal : 335.42854155984037 -Best mac match (fast solver) : 0.49053118113496946 -Iteration : 13, Variation : 0.06650686549222162, EigenVal : 335.2207543948275 -Best mac match (fast solver) : 0.490751468978676 -Iteration : 14, Variation : 0.05338320111326145, EigenVal : 335.09343641172234 -Best mac match (fast solver) : 0.4486440453847364 -Iteration : 15, Variation : 0.04404249166736274, EigenVal : 335.0351545765562 -Best mac match (fast solver) : 0.48254125525028674 -Iteration : 16, Variation : 0.03692464004184398, EigenVal : 335.02186823157723 -Best mac match (fast solver) : 0.4798095604989258 -Iteration : 17, Variation : 0.03473755899122677, EigenVal : 335.02416117123 -Best mac match (fast solver) : 0.47801447704045624 -Iteration : 18, Variation : 0.031688196845552685, EigenVal : 335.0402114455654 -Best mac match (fast solver) : 0.47690382785750834 -Iteration : 19, Variation : 0.028976438896924916, EigenVal : 335.06601615547106 -Successful solve for mode T21 diff --git a/guitar_lcar03_T31_0_90.py b/guitar_lcar03_T31_0_90.py deleted file mode 100644 index 797392c..0000000 --- a/guitar_lcar03_T31_0_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T31', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[0, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T31_0_90", eigvals_filename="eigvals_lcar03_T31_0_90", eigvecs_filename="eigvecs_lcar03_T31_0_90") diff --git a/guitar_lcar03_T31_0_90.txt b/guitar_lcar03_T31_0_90.txt deleted file mode 100644 index 18fab35..0000000 --- a/guitar_lcar03_T31_0_90.txt +++ /dev/null @@ -1,46 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [0, 90] % -solving SIMP problem for mode T31 2022-03-31_18_23_40 -Solving using scipy.linalg.eigh(K, M) -solved in 884.7777564525604 s -Best mac match (fast solver) : 0.4819787486565064 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 578.1014342146002 -Best mac match (fast solver) : 0.23745067385546975 -Iteration : 2, Variation : 0.2499340987997899, EigenVal : 640.256851206393 -Best mac match (fast solver) : 0.24537967482132728 -Iteration : 3, Variation : 0.21181193263551723, EigenVal : 647.5089000046438 -Best mac match (fast solver) : 0.21797949285635626 -Iteration : 4, Variation : 0.15832474639930316, EigenVal : 649.3432906436287 -Best mac match (fast solver) : 0.08941918508530704 -Iteration : 5, Variation : 0.12842331632185555, EigenVal : 648.3247297530162 -Best mac match (fast solver) : 0.1831358166952216 -Iteration : 6, Variation : 0.11183564254460632, EigenVal : 648.9345174210713 -Best mac match (fast solver) : 0.0757573448671899 -Iteration : 7, Variation : 0.061927864454438875, EigenVal : 647.6191652571752 -Best mac match (fast solver) : 0.3104623615635935 -Iteration : 8, Variation : 0.10181785380030728, EigenVal : 648.3094736786229 -Best mac match (fast solver) : 0.2058877381859038 -Iteration : 9, Variation : 0.10426267207974016, EigenVal : 648.3819653719003 -Best mac match (fast solver) : 0.22215309913717554 -Iteration : 10, Variation : 0.08058227620478087, EigenVal : 647.7559558171204 -Best mac match (fast solver) : 0.20294427643661245 -Iteration : 11, Variation : 0.062335241327943436, EigenVal : 646.6522104624335 -Best mac match (fast solver) : 0.17867473717239044 -Iteration : 12, Variation : 0.05732148997062447, EigenVal : 645.4398228954177 -Best mac match (fast solver) : 0.15909949038463378 -Iteration : 13, Variation : 0.050851063756437664, EigenVal : 644.4140507259606 -Best mac match (fast solver) : 0.147007112507749 -Iteration : 14, Variation : 0.046264202539488486, EigenVal : 643.7375514335562 -Best mac match (fast solver) : 0.13988466921511306 -Iteration : 15, Variation : 0.03874367810402113, EigenVal : 643.3559736382168 -Best mac match (fast solver) : 0.13502395718253946 -Iteration : 16, Variation : 0.035457537103420145, EigenVal : 643.0906009374994 -Best mac match (fast solver) : 0.13082480510872596 -Iteration : 17, Variation : 0.0301467379508904, EigenVal : 642.8622230882182 -Best mac match (fast solver) : 0.12715653430946644 -Iteration : 18, Variation : 0.02642669189218938, EigenVal : 642.660441547188 -Successful solve for mode T31 diff --git a/guitar_lcar03_T31_45_-45.py b/guitar_lcar03_T31_45_-45.py deleted file mode 100644 index 312ba9e..0000000 --- a/guitar_lcar03_T31_45_-45.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T31', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[45, -45]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T31_45_-45", eigvals_filename="eigvals_lcar03_T31_45_-45", eigvecs_filename="eigvecs_lcar03_T31_45_-45") diff --git a/guitar_lcar03_T31_45_-45.txt b/guitar_lcar03_T31_45_-45.txt deleted file mode 100644 index 827b43b..0000000 --- a/guitar_lcar03_T31_45_-45.txt +++ /dev/null @@ -1,29 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [45, -45] % -solving SIMP problem for mode T31 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 559.7761595249176 s -Best mac match (fast solver) : 0.6393414232213989 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 581.6824778514142 -Best mac match (fast solver) : 0.1389124496408152 -Iteration : 2, Variation : 0.2163917520195457, EigenVal : 641.0086906082084 -Best mac match (fast solver) : 0.12493907984082075 -Iteration : 3, Variation : 0.21171409662597673, EigenVal : 646.7023825015932 -Best mac match (fast solver) : 0.1234910918034027 -Iteration : 4, Variation : 0.16189248978619497, EigenVal : 649.2018572723575 -Best mac match (fast solver) : 0.12684094401263463 -Iteration : 5, Variation : 0.1554486292954168, EigenVal : 649.7089250833436 -Best mac match (fast solver) : 0.12952245770585494 -Iteration : 6, Variation : 0.10886282000521685, EigenVal : 649.2887173546334 -Best mac match (fast solver) : 0.13073837844201064 -Iteration : 7, Variation : 0.10764633285250158, EigenVal : 648.3957733731876 -Best mac match (fast solver) : 0.12999872869135576 -Iteration : 8, Variation : 0.10592235584540433, EigenVal : 647.2662413983644 -Best mac match (fast solver) : 0.12680146836964945 -Iteration : 9, Variation : 0.07703611615368688, EigenVal : 646.1595674181773 -Best mac match (fast solver) : 0.11956952542629011 -Iteration : 10, Variation : 0.07223240119788799, EigenVal : 645.0819980747049 diff --git a/guitar_lcar03_T31_90_90.py b/guitar_lcar03_T31_90_90.py deleted file mode 100644 index e4e4022..0000000 --- a/guitar_lcar03_T31_90_90.py +++ /dev/null @@ -1,3 +0,0 @@ -from FEMOL.problems import GuitarSimpVibe -problem = GuitarSimpVibe(mode='T31', mesh_lcar=0.03, volfrac=0.27, p=1, plies_carbon=[90, 90]) -problem.solve(max_iter=25, converge=0.03, mesh_filename ="TOM_lcar03_T31_90_90", eigvals_filename="eigvals_lcar03_T31_90_90", eigvecs_filename="eigvecs_lcar03_T31_90_90") diff --git a/guitar_lcar03_T31_90_90.txt b/guitar_lcar03_T31_90_90.txt deleted file mode 100644 index 3e4667d..0000000 --- a/guitar_lcar03_T31_90_90.txt +++ /dev/null @@ -1,60 +0,0 @@ -______ Run parameters ______ -Mesh characteristic length : 0.03 -Max number of iterations : 25 -Convergence criterion : 3.0 % -Target volume fraction : 27.0 % -Carbon layup plies : [90, 90] % -solving SIMP problem for mode T31 2022-03-31_18_23_41 -Solving using scipy.linalg.eigh(K, M) -solved in 910.5580077171326 s -Best mac match (fast solver) : 0.5237129521522946 -Iteration : 1, Variation : 0.30000000000000004, EigenVal : 577.2815086752394 -Best mac match (fast solver) : 0.3213490073775353 -Iteration : 2, Variation : 0.2649350351988672, EigenVal : 617.263088321047 -Best mac match (fast solver) : 0.2107472312501329 -Iteration : 3, Variation : 0.2194705934587602, EigenVal : 618.0542559742044 -Best mac match (fast solver) : 0.19710233552414347 -Iteration : 4, Variation : 0.17414927328746665, EigenVal : 617.2844202116462 -Best mac match (fast solver) : 0.19833396841556702 -Iteration : 5, Variation : 0.14163660783940502, EigenVal : 616.3203954185378 -Best mac match (fast solver) : 0.19793734548356812 -Iteration : 6, Variation : 0.10727137501575745, EigenVal : 615.3871754597841 -Best mac match (fast solver) : 0.2025370540438308 -Iteration : 7, Variation : 0.09190863783079617, EigenVal : 614.5903183946374 -Best mac match (fast solver) : 0.20990321386000219 -Iteration : 8, Variation : 0.09449354951933597, EigenVal : 613.8093970655966 -Best mac match (fast solver) : 0.22031150040589495 -Iteration : 9, Variation : 0.098414841071373, EigenVal : 613.1155135646798 -Best mac match (fast solver) : 0.22960651848226268 -Iteration : 10, Variation : 0.09031505017342734, EigenVal : 612.5470756878236 -Best mac match (fast solver) : 0.23607783942097116 -Iteration : 11, Variation : 0.08798780561572217, EigenVal : 612.1011861024732 -Best mac match (fast solver) : 0.22932450066259935 -Iteration : 12, Variation : 0.07141069481774265, EigenVal : 611.7663957698355 -Best mac match (fast solver) : 0.24215561698337423 -Iteration : 13, Variation : 0.06090786623958033, EigenVal : 611.5653511119812 -Best mac match (fast solver) : 0.20638286086491528 -Iteration : 14, Variation : 0.07869020860607756, EigenVal : 611.4177157784353 -Best mac match (fast solver) : 0.3519110441175177 -Iteration : 15, Variation : 0.10227501752782697, EigenVal : 611.305287315309 -Best mac match (fast solver) : 0.3526905987530421 -Iteration : 16, Variation : 0.27836944300911515, EigenVal : 614.592948845276 -Best mac match (fast solver) : 0.12825854365946618 -Iteration : 17, Variation : 0.30000000000000004, EigenVal : 617.7772162906898 -Best mac match (fast solver) : 0.24730551471386866 -Iteration : 18, Variation : 0.2455874337551378, EigenVal : 621.3198441655651 -Best mac match (fast solver) : 0.24424928987464017 -Iteration : 19, Variation : 0.2611753358377309, EigenVal : 623.9152059579304 -Best mac match (fast solver) : 0.2045791584772936 -Iteration : 20, Variation : 0.21406484579393248, EigenVal : 625.5649355235944 -Best mac match (fast solver) : 0.1543796857840892 -Iteration : 21, Variation : 0.20966263876047253, EigenVal : 626.9441836111514 -Best mac match (fast solver) : 0.10500027750568489 -Iteration : 22, Variation : 0.2361266304696923, EigenVal : 628.2832373753496 -Best mac match (fast solver) : 0.12474633172873147 -Iteration : 23, Variation : 0.21355796386725545, EigenVal : 604.6892409691148 -Best mac match (fast solver) : 0.11221829440067153 -Iteration : 24, Variation : 0.1304960343095069, EigenVal : 610.1487214302585 -Best mac match (fast solver) : 0.10910024436119473 -Iteration : 25, Variation : 0.12222390878161893, EigenVal : 612.3652803944254 -Successful solve for mode T31