diff --git a/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb b/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb index 8e8e21a..e9ab0d8 100644 --- a/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb +++ b/GPS_Panel/.ipynb_checkpoints/Enumeration_KML-checkpoint.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 43, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -60,7 +60,7 @@ "\n", "\n", "\n", - "def order_rect2(List_P_strings, top_bottom = False):\n", + "def order_rect2(List_P_strings, factor_diameter, top_bottom = False):\n", " #If top_bottom is false then sort right left\n", " if top_bottom:\n", " List_P_strings = [[(List_P[0][1],List_P[0][0]),\n", @@ -82,7 +82,7 @@ " remaining_points = []\n", " for k in keypoints_to_search:\n", " p = np.array([k[0][0], k[0][1], 0])\n", - " d = k[2][1]-k[0][1]#k.size # diameter of the keypoint (might be a theshold)\n", + " d = factor_diameter * (k[2][1]-k[0][1])#k.size # diameter of the keypoint (might be a theshold)\n", " dist = np.linalg.norm(np.cross(np.subtract(p, a), np.subtract(b, a))) / np.linalg.norm(b) # distance between keypoint and line a->b\n", " if d/2 > dist:\n", " row_points.append(k)\n", @@ -111,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -133,6 +133,7 @@ "split_Weight, split_Height = (10,2)\n", "overlap = 0\n", "order_top_bottom = False # order top bottom or right left\n", + "factor_diameter = 2 # Paremeter for enumeration try change\n", "\n", "\n", "GR_T = gr.from_file(path_T)\n", @@ -149,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -158,7 +159,7 @@ "'\"\\nlabel_im, nb_labels = ndimage.label(GR_String.raster.data > 0)#, structure= np.ones((2,2))) ## Label each connect region\\n\\n \\nL_strings = {} # {name: \\'001\\', points:(top-left, top-right, bottom-right, bottom-left) (x,y), \\'panels\\' : }\\n\\nepsilon = 0\\n\\nList_P_strings = []\\nfor i in range(1, nb_labels + 1):\\n \\n countours, hierarchy = cv2.findContours(np.uint8(label_im == i), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\\n x_max = np.max(countours[0][:, 0, 0]) + epsilon\\n y_max = np.max(countours[0][:, 0, 1]) + epsilon\\n x_min = np.min(countours[0][:, 0, 0]) - epsilon\\n y_min = np.min(countours[0][:, 0, 1]) - epsilon\\n \\n List_P_strings.append([(x_min, y_min), (x_max, y_min), (x_max, y_max), (x_min, y_max)])\\n \\n'" ] }, - "execution_count": 45, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -189,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -207,14 +208,14 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "\n", "L_strings = {}\n", " \n", - "for i,List_P in enumerate(order_rect2(List_P_strings, top_bottom=order_top_bottom), 1):\n", + "for i,List_P in enumerate(order_rect2(List_P_strings, factor_diameter, top_bottom=order_top_bottom), 1):\n", " \n", " L_strings[str(i)] = {'id': i, \n", " 'points' : List_P, \n", @@ -257,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -301,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 18, "metadata": { "scrolled": true }, @@ -480,7 +481,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -494,7 +495,7 @@ }, { "data": { - "image/png": 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\n", 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\n", 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" ] @@ -506,11 +507,11 @@ } ], "source": [ - "string = L_strings_coord['80']\n", + "string = L_strings_coord['130']\n", "panels = string['panels']\n", "\n", "\n", - "epsilon = 0\n", + "epsilon = 10\n", "matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n", "Points = Utils.gps2pixel(string['points'], geot) + matrix_expand_bounds\n", "\n", diff --git a/GPS_Panel/Enumeration_KML.ipynb b/GPS_Panel/Enumeration_KML.ipynb index 8e8e21a..e9ab0d8 100644 --- a/GPS_Panel/Enumeration_KML.ipynb +++ b/GPS_Panel/Enumeration_KML.ipynb @@ -2,7 +2,7 @@ "cells": [ { "cell_type": "code", - "execution_count": 43, + "execution_count": 12, "metadata": {}, "outputs": [], "source": [ @@ -60,7 +60,7 @@ "\n", "\n", "\n", - "def order_rect2(List_P_strings, top_bottom = False):\n", + "def order_rect2(List_P_strings, factor_diameter, top_bottom = False):\n", " #If top_bottom is false then sort right left\n", " if top_bottom:\n", " List_P_strings = [[(List_P[0][1],List_P[0][0]),\n", @@ -82,7 +82,7 @@ " remaining_points = []\n", " for k in keypoints_to_search:\n", " p = np.array([k[0][0], k[0][1], 0])\n", - " d = k[2][1]-k[0][1]#k.size # diameter of the keypoint (might be a theshold)\n", + " d = factor_diameter * (k[2][1]-k[0][1])#k.size # diameter of the keypoint (might be a theshold)\n", " dist = np.linalg.norm(np.cross(np.subtract(p, a), np.subtract(b, a))) / np.linalg.norm(b) # distance between keypoint and line a->b\n", " if d/2 > dist:\n", " row_points.append(k)\n", @@ -111,7 +111,7 @@ }, { "cell_type": "code", - "execution_count": 44, + "execution_count": 13, "metadata": {}, "outputs": [], "source": [ @@ -133,6 +133,7 @@ "split_Weight, split_Height = (10,2)\n", "overlap = 0\n", "order_top_bottom = False # order top bottom or right left\n", + "factor_diameter = 2 # Paremeter for enumeration try change\n", "\n", "\n", "GR_T = gr.from_file(path_T)\n", @@ -149,7 +150,7 @@ }, { "cell_type": "code", - "execution_count": 45, + "execution_count": 14, "metadata": {}, "outputs": [ { @@ -158,7 +159,7 @@ "'\"\\nlabel_im, nb_labels = ndimage.label(GR_String.raster.data > 0)#, structure= np.ones((2,2))) ## Label each connect region\\n\\n \\nL_strings = {} # {name: \\'001\\', points:(top-left, top-right, bottom-right, bottom-left) (x,y), \\'panels\\' : }\\n\\nepsilon = 0\\n\\nList_P_strings = []\\nfor i in range(1, nb_labels + 1):\\n \\n countours, hierarchy = cv2.findContours(np.uint8(label_im == i), cv2.RETR_TREE, cv2.CHAIN_APPROX_SIMPLE)\\n x_max = np.max(countours[0][:, 0, 0]) + epsilon\\n y_max = np.max(countours[0][:, 0, 1]) + epsilon\\n x_min = np.min(countours[0][:, 0, 0]) - epsilon\\n y_min = np.min(countours[0][:, 0, 1]) - epsilon\\n \\n List_P_strings.append([(x_min, y_min), (x_max, y_min), (x_max, y_max), (x_min, y_max)])\\n \\n'" ] }, - "execution_count": 45, + "execution_count": 14, "metadata": {}, "output_type": "execute_result" } @@ -189,7 +190,7 @@ }, { "cell_type": "code", - "execution_count": 46, + "execution_count": 15, "metadata": {}, "outputs": [], "source": [ @@ -207,14 +208,14 @@ }, { "cell_type": "code", - "execution_count": 47, + "execution_count": 16, "metadata": {}, "outputs": [], "source": [ "\n", "L_strings = {}\n", " \n", - "for i,List_P in enumerate(order_rect2(List_P_strings, top_bottom=order_top_bottom), 1):\n", + "for i,List_P in enumerate(order_rect2(List_P_strings, factor_diameter, top_bottom=order_top_bottom), 1):\n", " \n", " L_strings[str(i)] = {'id': i, \n", " 'points' : List_P, \n", @@ -257,7 +258,7 @@ }, { "cell_type": "code", - "execution_count": 48, + "execution_count": 17, "metadata": {}, "outputs": [], "source": [ @@ -301,7 +302,7 @@ }, { "cell_type": "code", - "execution_count": 51, + "execution_count": 18, "metadata": { "scrolled": true }, @@ -480,7 +481,7 @@ }, { "cell_type": "code", - "execution_count": 41, + "execution_count": 27, "metadata": {}, "outputs": [ { @@ -494,7 +495,7 @@ }, { "data": { - "image/png": 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\n", 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J023neKrm3Gcea8x4KXdWeqyVnp2qyOPTGmdeCqg1BsecsWH1p3XerjjpkNbr9/aymcbtHLfWfrMSl7008rGakUKZkCA+37TfQliPHatkX+tmatn3S1J7PPv1e+eA1ir9u7p3zFhjvWqdoZ2XaC0zXZtz2pa9wgUnvfhoOzvxNuU6lKJtDNumc9xax0dKGrTF276VnupVRLDOaeZ509m+WS3BXMJ+LzxubMZ7v1sz0pi9dNSWkZTfqOVP47auAd7eN5N4ndT9djv7dXrnAKsHzGUS0tCt9zTeY7Hl9E7Ow2Z1npkBAAAAAKcMJp4AAAAAgFIx8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACjVqiin4pYsMR6qOcHPbSOSvCk7XtosP2DE9XtlEcwyF+YSTvz9kMqJePH7w9BKeJ0ppSmsZazRlLINL0beeqzmlBOxSv0UWcrCe53W2BhWqZuGU7bFMmFEr2+emDWXmVvILrUy385/mswdia78pU5aTlx92ylzYTGPjRGXNHIZx9Mxr5SB0295WetyS2YYbfP2v7m+hH1jldWKCWWgUrSN1++Vf7DOAdZ1W5I21OYz77dKV3nXILOkk1EWQpLqzmOWBeNcY7VtUo3c2/DaZfXNRM3ejjU2Uq6dKR+F1I3x7JZCM9pWdcqZ5OW9D7DKmXjLBOOaNm7c772vth7z+swag1ZJq3q0+7KdsKOtceaVoIk5z1ve+2Brn3nXk5ZRaiXlXG+NWfe9u7GulPf70WlzbOe7DvGJJwAAAACgVEw8AQAAAAClYuIJAAAAACgVE08AAAAAQKmYeAIAAAAASjXUVNsoOyXW0o7Z6UtNZ85spULNtbJTKyU75ctKsvJY62p4KWNGYlTK9q3EqpYb8JW9/ZRkOmv73mtJSdlKSdu0tpPyF5iU12m12UqGK5rVZi9V1xoDSamFCay+cdOwDVO1BfOxjZNzmfcfiJOZ97cTUguVNM6z7/dSQIs8bj3W67TGeco5ICVR1UsobRn9Nm6kI6YkPk8aSZOeRtPen3n707hsdh4zLvteOmOtWlyysT1m7GWsY907Bxytj2feP1HNTmi1krAlabyS/Vir4iSnVvMfT1Z6r7X/m855e7yS/Tq98byump0E3Krbr3Nh3Er+zz5vzjuJ20Wm26e8ubWOgZS007pzPFnjNqVaQsXYjpd4fHRhLPuBhP63rkPzFXsP1IzrcMUZz1O17PPzmJHELNkVAVJSfa39XK3Y5yBrPM071+6m8VjK9dlKMPe0jLlI23mdZoy/gU88AQAAAAClYuIJAAAAACgVE08AAAAAQKmYeAIAAAAASsXEEwAAAABQKiaeAAAAAIBSDbmcSlAznjjX9SKk85ZfkezyC7NNu5xKK2dpBq/NVlTy3EL+ci4pUmKXm0YitVfKwCxNUlzyftJrSSl/UOR2vHUNpTRJSskOI3Zckqwj0CvBYm7HjCt3Sg1ZpRRi/vITXpunx7PLqVjbPzKXXa7B277HXMYs9ZR/nLvx6glttrTaRskM5zxnlQWoOqdG67jxzqcNIy7eMlGzy2xYUf7eeXP9WHbJijmnzERj3iizYfSzZ2Ehezvtmt3mGLNfZ0qZCYu3Luv6PNuwr6lWmYd6NbuUxLq6XWrJKsO0zinPZJVgse7vrC97bFjnhpTyG556yN7Pp9ePmctMGuVpDtSzX8vBhSlzXdZ7NK90lFkKz1xCztUuv5SyalaZjbpR0knK/95hsmaXU7FK2nhtNt8jG6/F22ezyt7PXpvHjHHmlVOxzLWyX/9M0ygz43CPQWN/uuc6oz9T3lNYagnj7JhzQLWdfZ25jVzPBgAAAAAgJyaeAAAAAIBSMfEEAAAAAJSKiScAAAAAoFRMPAEAAAAApRpqqm07Bh1rnJgaVWiip+z0LStt1lsmbzKfJC00s7ez0LC720onNIMrvXaZaavOIlZimpOC6T2WxQnhTGK9HisdU7LT7FISatOScPOvK+8Y9BI1rceqzvbb1ezte0nQ1Ur2MTBjbcN5jdbrnzeS6VZanyXveWhyzE7gs/rGSnv1lrFeS8q5qd0uNgk37zGQcsykvE7vGJg3zsPHjORYN/F8LDvVdDzhdY45SYOzZnJmcX87bjlpv9a527sGFJtqa41N53iqGMdggemQ3nmmYaTrW8m1kp142zb2s3M4q2nkkVecZG/rHOgl8U5Vso+B+nj2eJ52Xv/hZnZSuJeEe3h+IvP+hnPcmmPAWCblPao3Nqz1ecvkvaYVmYIq2cezdX5sun2WfQ5OuT5MOEm4eVlpw8nrS0j+t45P6xxgVfHoLJO9z6xzk8dLip+3D+lMfOIJAAAAACgVE08AAAAAQKmYeAIAAAAASsXEEwAAAABQKiaeAAAAAIBSDTXVdqFR1W13bc61TLG5XM52jDQrK7XPSqGVpOZ8drfGOSdJqpW9vtA07ne2nxRmZqUTOuuKxjLBTIzL2aZUzp9TYrXgaN3MjTiPWf3ppbnl3aFe2nDN2Gc1J+nQeMxNDzaaHI1x6yVqWmLTWSYlKdtKSTbGjPf6K9X8g71lpGFbaYJt49wg2f3sJlsbbQ7OMWMOZ6v/nf1inWu95FRrO20v0dIYN82F7P4/6vTZwXp2cmd9zE4BrRn93HSOgYX5eub91mvxzkHW2Ejhjafc63KOmWC8TC8F0zoGa7XsfXbM2f6hSnZyqrUvJalupBR76cVWqmbFvagUx0qDHqt4bbYfy6tppG1mVUNYNNPIPjZm5u1lmsZxY51r3UT+AtNjg3Ouq1vnGmc8WazKC14StfWe1zo/V51jwxrnx6r2PhuvZZ9TrfslO1W2bVy5vCRga12TTqruVC078Xmyai8zXs1+PVYS85FG9rlJko4aKdEzzvE0t5B9PDUaTlUQYzxZ+MQTAAAAAFAqJp4AAAAAgFIx8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACjVUMupVI9UtPHqyRMfcNKo21WrxoG9TDQea9kJwmpMZ0dCt4yk4uAkWE8dzG7z2GEn+t1IV64YSdGVpr2uaGTcBzcT3CrbYi8RK0b0uJWxX3RtHOPlWPvffcwq/5HQZrcySsqfenIm6Ucn2Trv65ekdt3Yzwn9bI0na5x3GmCsyxnPSWPQGgNWxQqnn42qAIrOGdeodGMfg864SKkmY/GOAasPzD7zxr9Zm8XZvjWenNdvPTZmjTOvMo5VOcrZzwsJV9260eZ6QpvN6hduyQjnMXNDxqpS9rOxrnZ28r+7TNMYAE61gKSxaXG7Mu92UvZLUrkvZ3XewZa5QP5O895vme+RFuztGBUrzO245wBLgceMJLWMsT6fcq61eNcU61xnlNtqOu+356zj2boISorGSTA6y5gne6tEmNNnFaOczfikXRpl68Yjmffv2nDAXGbMGNBWqSGrNIwk7T26IfP+u+/Jvl+SdDB7oFVn7c5xKspk4hNPAAAAAECpmHgCAAAAAEo11K/aAiv5yhWvH3UTAAAAgFwe8pE3j7oJqx6feAIAAAAASsUnnliVHv3St6/8JMKFJElfu6zzKfEjX9HpM8KFVg4X+q8/f50k6ftf/ScnPHbCuoYULmTt59USLnTd/+702cP+x/E+G3W4kD02nGVy9vPJhAtd/3udPjv/N//khMfyMF/PKRgu9K0/6PTZQ3+9Z5wVGC5kheF4x/NaCBe6+Q2d68AD/miFayfhQkvL9B+fazFcyDzOin6v0e3OG9/c6bMHv7nTZ9EI6mk74ULm8byGw4Vu+Lk32wtjmaFOPGuzbZ3xjWMn3G++SZQkKznVuF+S2vXs0dOYtq8sc5uyH2tMZW+n0rIH+9Rd2QN0Yv+8uUzt6EL2A+2UM16BvM2bkxjrTb+9z/rHwOZvHvbbJXvi4Y6nWnajzWuhM87c7VjMC7u3ncFWvfnG2fztGYSVLJ0i6QKevZ/dCf6A/XzGNwboMzcN2mD0mTtm8nazO/FMODYG3P7Wr84Ntr6czDdKzjForstNL7b+wlDcbL3/+nTm13ti/1K6LG+qqfdezLh2BScp3eInpZ+cs/5jgHHmTYhyntO99xT2urztG9vxJrjWunIcA2d9yT/JFr3PzNdp9k3KOHMea1vj2Vvf8mXO/K/u8Wn9YbRh92nKpNRqs8esIjCk82bsu6Zt/Uq3z6w/vhl/sHa377S5ZayvXct/TbMrMtirao1nz/znT1teqaNyzfTS/+++f0YVD0kLO+2TwP2m7cTbLLsPnWY+ds9Np2fev+lG+4Wu35s9f6nO2tG1lUb2eP6O9XxzTV0hhL8KIewPIVzbc99pIYTPhBC+3f1380rrAQAAAADcNw3yYfz7JT2l7743SfpsjPGBkj7bvQ0AAAAAwAlW/KptjPFfQwi7+u5+lqQLuv9/haSrJb2xwHad0j77b7816iYAAAAAwNCkptpujTHukaTuv1usJ4YQLgwhXBNCuKbROPH3nQAAAACAU1vp4UIxxkslXSpJ0+vPLi+JYA16wmPfuvT/hAt1Hvv01353sHYBAAAAWDNSP/HcF0LYJkndf/cX1yQAAAAAwKkk9RPPj0l6qaS3df/96CALtccqOrpz6sT7U+pnJdRK9OKdrTZUjIj5lFqNlWbbvB1mskutxLHsCOf2ertIUmsie7f2x2EveyylnEjeeG/P4qq+1vlnbvuJ46SfFeEsJ6rcKrXTHjeiur0+S3qdKYXfrMKDy9c1s32ic7fz+qtzxnh2ygNZ4yal7l2hZRFSurJvmZmznGJjXdWF7L4xx5/k1Hcs7nhKqVXptnlAjXUrXzbM86YzNlMi7u1akfZCZjkJa0MpdQ9TnueVQMlZ6sQtDWL181jB57qT1Jxcue6I1y9WCYxofYvHGdbetTMvr/yGeU7NUWd6aV9Zp1qvzIhRx7LI2tDeNTWpnnYBJZ3mN/pjrdKwDwDr+uDXPs1/rsldBifhvJXnvNnuni+sa4r1XkNKKyczZrxH8cup5Hvv4q2rZZ0fw/KxMX7v8XYuHMg+qeyd2mhvp5091qqV7BPH/rumM++XpA23Zq/rtBvnMu+XpLHb7s28PzScE0c1X42oQcqp/J2kL0p6cAjh9hDCy9WZcD4phPBtSU/q3gYAAAAA4ASDpNq+wHjoCQW3BQAAAABwChrBF2gAAAAAAPclTDwBAAAAAKVi4gkAAAAAKFXpdTx7tWvSzJknznXbXisSpsZuApol5zKVhv1Y62hCA6rZL7S1YTzz/rkt2fdLUmPKSG71EjWNUCovzdB6LO/9WQ7v6AyKihOkVZvNnzjcNNJrW0Z3ummGVjJcQp8l6dv+0bM7K/dSC+vHrERPe5l2drDyUqpd5mN50xm9fklKOnQe63F41/GGWomO9aNGap9Reley+6zlJGtH4zxonR/dVFtrGwl9trRv/k/nnwPnH2+Q1WfWsVlJ6LPoJgEb9yck4ZrbOJnQzE90/jnwkOMvzko19VIgzeuNleCekNDqvc68yaXeY2Z48OI2un12z0NX7jPzfCapmh0U76Tem6syr51u2muB19Q8582DD/QTJquzzmPz2f3pHYPm9cF6/d7YTEgwtxP5B1/m4Hnda6d5bNrrqln96bTZOj7dsWH1p3V/Suq7s/2lvvnHzj/3nO+/R7OOP8lJ1/fqxptJ8fYiZnqwmbjsrMvYTnNi+e3ZM46vPBoX6fZh+2Szb2FT5v2hlt05lbvtZP76YeO9yzF7AhPmjIt0ze6c9vTKVSh68YknAAAAAKBUTDwBAAAAAKVi4gkAAAAAKBUTTwAAAABAqZh4AgAAAABKxcQTAAAAAFCqoZZTUVB2jHFCjHsRpRRORtL229G8HavZUcVW9L1XGqVllAzx4uJTSqDEYLQhZZ/1aS+WnXBqRsQFY4UtZxkz4t3oMy+ZftSlQfqHU7et3uZTSnO0jRIgfvmB7PtTyjKcVDmLFfS2M1jj1hgD3thIKSVgliVIiN63JJXz6ev/ZaWHzHGTvdMqKa8/4byVck1JuW4MWv6hsaHnIaP8gBn9L7tsjTk2Cz7Xm31TcJmLXs31PZsxXr+sa5CcUgYp5zOr1E9K+Qvv9Rdw7WxOdv41S1O4ZZiMvrErNtjnJ+t+r2RFxSjncjJloLrN+x4AACAASURBVAbQmuhs17wOOg2oWMems/2853pvfbFm9FnK8ezo74LGhm6fGeOsNuOU4LHev3olaHKW7ZGcsWaWoXLeOw74/qAx3fu+3igb03Re6IzR6JB9f/2wvaPrM9k7J7ScujXRGE/j9kmgsXnCfCwLn3gCAAAAAErFxBMAAAAAUComngAAAACAUjHxBAAAAACUioknAAAAAKBUw021jcpOVEtJxhtCcm2nAcUtE/pSbXtvh7aRPtWfhLv0gLP5lIRacxlnQ3kTWvPss8XnJvS/22ZzoRXakeexESW0Ht9IwctYjznBaHnb4PWLNTbN1EZP/3aC89hSA4xVOa/Re2woijxven2Wd1Up/VJ0omWZ5y1rmd7bCX/utca6mdpY9HmryPTgAcUB+mxo6fYJ48x8zE2KH7hF3W2ceEAt3heMlaWk6rpyHk9J18Ci97N1fBoJtUM7nw9pPBeyD7q3B017HYT7PiAhJdtOls6fBGyuqy+51kqy7eWm2lqBv8Yy9aP2qsaOZl84KrMNeyFjLuJpG9U3LHziCQAAAAAoFRNPAAAAAECpmHgCAAAAAErFxBMAAAAAUComngAAAACAUjHxBAAAAACUarjlVBJYMdZFl6UwSzYUGf/fivbthex449CeyLw/5fX7JSsSoteLLEvQ1zVL6xhVmY2V7pfULrKUgWPQfb0Y9x2dMZvSZ8FaYcgfCV5oJLwzNguNvx9S6abcx82QylD1r6v3du5+9saZ9Zg3nkfcN8Ni9bPZ/0MqW+Mvk/Pi3f/83tvGucYbf9FaJuX6YBlaOZf8O7TQ90gp5bZSNjPq4zlnSS33saLLmlmLDOP1Zz22Usk79z2Fcb9RzkaS+TFZK+F9QEppliKPZ/dwbmVvqDqf/fTaMXtltRmjQ5tOR1cSPo/MWcKQTzwBAAAAAKVi4gkAAAAAKBUTTwAAAABAqZh4AgAAAABKxcQTAAAAAFCq1ZFqW3RiWEL6VJHpgFZqXmWhad4Os9mRVaG1Ptc2pMSUs5Q0OevPFinJmX3rWkpoddKyYiV75/jpvcXcL6nYtFHPgOnBi20tus251+U8VujYLCABcNlts81G4rMbqZnz/lVg4H0zQJ9ZzITklJU5i7jHQEHbkHIkTvc+L+W8mZAcOVBbBrhfUv7j2XtwSAmtoW1FZ1rPd641KePMXMZ+/blfZ9bzlxLhre14A9pYotAkYGf/Fzg2c51OBkjRN+VNnPZW5YynWM03nkvvs5NZV8p4KjDxNxoVCdz+L7JvnHONlexbnbPSbu2OqTSzOzrML5jLqG3sHOv+BHziCQAAAAAoFRNPAAAAAECpmHgCAAAAAErFxBMAAAAAUComngAAAACAUg031TbIT2HLUGg6oSdnYpaViiVJbaNXYzWYt4OVnFk17k9J0zO24a0vKRnN2obz/P4EuKXbCYmSbppcznTCwpMeU5bJyU1mM1OCnaRFY5kiE+D8dMx865KctqWsyznWLVYKpJcOaT3mBsGaK0tYZgi8c1DaCnPeL+VOYUxLM7ROaPaGkpJbC0zUHDUvcbpiHRs5rilLCjw23XR58xzkJFqaQbRGgvvAd56kolPPcy7jBogXee0sMXX+pLdzH+Cet5Kug/mSgL1t2Is4J66ElOhKM/v++tHs+8eOOY1uWQ1w5gJGem1oGnG7kkIz387hE08AAAAAQKmYeAIAAAAASsXEEwAAAABQKiaeAAAAAIBSMfEEAAAAAJSKiScAAAAAoFTDLadiKLJkR/Iyw4ifr1Ts29XsvwGY5Qe8sgTWQynlL4YV+93f/yexP5Ki14t8/UXHqA+6TPd5fjmVfPd72y80En5Y46x/O73J53n7puDz1losgWFKOZ5yljpacX15t2O2Of+O8UqDmKfuhD8DJ5WBSlBm35yUIv907pVSsMofeC/fKsGScgwYD4SMBiztEqOjU84zwyqrNvIyIwWet5IU+R6t4DZbb9Gs8ZxUCrHoa6DVaSk1ygYs9VPaddyqjGKVTJEU2sZjLaeeS9Oo51JgKTQ+8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACgVE08AAAAAQKlWRaqtywps8gKWUpbJuS4z5c5dV7RvN1vZ20lI3zKDvIpOjLP6YMD0r4F4SYMJ+8Z8zEogdNaVlNpmKWJsdm97/Ww+5u0bq5+99GBndbkXsPo5oc1eP5vjaUhps7mPz4TXn5QQ6yQBj9ww0ri9HWMMjqSkQ+85VhOGNGat9bWd8XSyx1Pv81KuXdYyRV6H3HUZ146U64a9+zMeWaGziq4iMOqk+GKPdePulCTeIVVrKPJ9XaGnjZTXv5quLf0G7Zze563WChsp84pKQiUNw+qfeAIAgFI0Dh7QLZe/Q2NnbFWoVnXOSy4adZNWvYPXfkUHr7tGUW1tf9aLVJ/eNOomrXrHvn29Dnzhc4pBaty1X2c+6+e0/qHfN+pmrWqx1dLeqz6g5tEjGt+xQ2c85ZmjbtKq1DxySLdfeZkW7tqnB77xDxQqVR344ud05NvXqb5ps7b+txcoVKujbia6mHgCAHAfNnW/B2nbz7141M1YExpHDmrm9pu16+cvVnts1K1ZO9Y98Hyte+D5ateibnvPn2nqAQ8adZNWvaM3fFPjW7dr23OfqH3//BHN77lT49u2j7pZq05lcko7XnSx7vj7yyVJzWNHNbP7O9rxitfowL99Vkev/6Y2PPwHRtxKLOI3ngAA3IfN3vId3Xb5Jbr3i58fdVNWvaO7b1RsR+2+8j3a+3+vUmyn/O7mvqtx4B5V169XZXx81E1Z9RoH7tHYWZ2J5vi2szV36+7RNmiVqtTqqk5OLd2eu/NWTZ57niRp6gEP0tztt4yqacjAxBPIoXH0kG7+67frW3/6BsV29u9ysdzsnbdo99+8U7v/9hLt+8w/jbo5a8Lc3Xv03Q++U9/70CW68xN/p5jwm4z7qgNfvFq3vu+SUTdjzaiun9b9Lv51nfPSV2nmezdpft+do27SqtY6dkSx3dSun79YlXpdR2+6dtRNWlOOXvcNvmI7oLEztmh2982SpJnvfketudkRt2htaM/Nqjo+IUmqjE+oPUu/rSZMPIEcqhNT2vW8izW57dxRN2XNqE9v1s4XXKxdL36NWjNHNbefN7YrGd+8Rfd/4Wt1v+e/RpI0t/e2EbdobWg3m0yccqrUaqqMjStUqlr3wIdqfv+eUTdpVauMT2rdOQ+QJE2d+0DN371vxC1aW47d8C2tO/9ho27GmrDuwQ9TbDR02/vfo1CrqbZu/aibtCZUJibVmp+TJLXn51WZmBxxi9CLiSeQQ6VWV3ViauUnYklt/bQqtXrnRqWiEDjtrKQ3CCFUa6pvILxkEIe+/iVNf/+jR92MNaXdfYMmSbO3fU/1zWeMsDWr39T2XZq7qzM5n993h+qbThtxi9aO5pHDCtWqqlPrRt2UNSFUKtry9J/VjpddrBAqmnrgg0fdpDVhYvsOzd7a/aT45ps0sYMPClaTFcOFQgg7JP21pLPUCQi/NMb4ZyGE0yRdKWmXpN2SnhdjvDelEW4kuRVvnbIhT94VppRyaEX7tvU7kXbCK02JRF9Y0K2fvELtxoIq4xPa+dSXqlKrpfVzETsn9v2bZzspJViscZbS/d5PfqxI9ALnYu72iyxpk7Of5/bfqdbMMY2fedZAz1/aTJE/oTJK0GQ+1mX2Z8nlgQ7ffK32feGTGjv9TNUm1p3weMrmCymBU9a3fk+yP2OrpdndN2vzox6ju/WpYstq5W1WsG8XWdIoRf/2Z2/9ru76/KcUajVN7ryfJs8Z/E1aaBfYmc7gLLQ8zEk2eWLr2Qq1unZ/6F2qTq3T9h/+yVz7J+kYHFKZCfM6VFCZlaM3Xqt15z88/8rcDRn3Fzk0R/Qz3sbhg9r7kQ9IIWjDD/6QatObTni95nuXhO2FHH229NQij83E8nmx1dJtV16q+f136vYPXKozL3iapnbcX7dddonqGzfptB993LLlzf3pBd8O2s8DvKdIYbXZLR/YXJ2/Px8k1bYp6fUxxq+FEDZI+moI4TOSXibpszHGt4UQ3iTpTZLeWF5TUaYjt9ygybN2auuP/LT2f/kzOnrLDZp+QMEXCNxntWaPae9nrtL2n/2FUTdlzZh+wMM1/YCH646rr9KRm6/T9IMeMeomrWqHv3mNNjz8kaNuxpqz/ryHav15D1WbjPuBnfVTPyNJatdH3JA1ZuOjf1yxyu/VB1Wf3qQdv/hLkqQ2/WYK1ap2vvDiZfdNnn2uNl/whBG1CJ4VP2eJMe6JMX6t+/9HJF0v6WxJz5J0RfdpV0h6dlmNRPnGNp6u2OqE5bTmZ/k6KQoT2y3d8fEPaMtPPVO19dOjbs6a0G42l/6/Oj5x/KvKMC3cvV8Hv/r/dNsH/1ILd+3Vvf/xb6NuEgAA6JHrb5whhF2SflDSf0jaGmPcI3UmpyGELcYyF0q6UJLqGzafTFtRovFNZ2pm7y266W/+ULWp9TrrMc8YdZNWpdhq6ZarLtXcXXfqlg9fqi2Pe5qmtvP7Ac/hG/5Ls3tu0/6rP64YpC0XPF2T5+wadbNWtaO7b9DdX71akjR2+pladz9+27OSM594vLj6Le+/RJt/5LEjbA0AAOg38MQzhLBe0kck/UqM8XAY8MvgMcZLJV0qSVNbd/BdgVXq3uu/og3nPlhn/tDjdddX/0UHb/iqNp9PSEe/UK1q13M7X+mI3u8BsGTjQx+pjQ/tfAWyTZ8NZPq8h2v6vM5X3fk6X347//trRt0EAADQZ6BIkxBCXZ1J5wdijFd1794XQtjWfXybpP3lNBFDEaXqeOfrtbXJdUtR1AAAAABwsgZJtQ2S3ifp+hjjn/Q89DFJL5X0tu6/H11xa1HZKU8pyaEJyxT6cavzgW+sGA/2T/OHXVXCafPGhzxSt33yr3XvDV9VqFa142kvUQzFpglmpdwtNc1IagspsbLDUmTgcEr4WN/KTmpfDSk10eSl2ZW42WVJd1YbVmcwXBLvGBy5YbXNSke0nu61y3jwhPNZb/prUtykcXeJabe9rNNwyi4z+9OLAk5gpmC28t0vOYmSCX2W1mkFrqtoVhsKffOQsP2UZaxVee/VhrQPcifve+0qss9WwxjMKyVZ3DoHD/a0k2adgypNJw08qSpG/leQ91Q9yFdtf0LSSyR9M4Twn937fkOdCeeHQwgvl3SrpOfm2zRWk+rEpHb97CtH3QwAAAAAp6AVJ54xxi/InsSTVQwAAAAAcA37y54AAAAAgPsYJp4AAAAAgFIx8QQAAAAAlIqJJwAAAACgVIOk2o5WgTHiRaZ7u+UfiiwBYpVmSZFSsqLIuP6Uhdx+tu53Fmob5Q+suPyEUhop0etuLH/ejvP2WUqMuMFtc85l/JIVg7aod0MJyxRZsiAhet7qA7NvUuLyi5Z3PBV83jbLfBR4PBVx3VhWtielPE/eNgzpHFBoSan+5/Wuu8i2WWPGKT0QEkq7mOc6d6G892esbaUB65RLsK5d7jXNXJl1rS120Jhry3NNWSrfNniTVmxAyjnYOzcM42OiIq+bKeeglO0UvczJbqPntnXacC/dOc9P7nlroZn9QMupHWVcVEPLHpx5r2l84gkAAAAAKBUTTwAAAABAqZh4AgAAAABKxcQTAAAAAFAqJp4AAAAAgFINPdU2M4HJSYwrNBnOkzMdMSmZ0FMp8G8ACUmPSclkVj8npLydMARKSiMz+2BYaa9FJuBZaWoJicveeDZTgr2kR2t9CSlvCYGSg++33rTRvGlyCam+Q0nZW6sSjkHz+lB0ouLJrqv3eBjF9k+SdX4o9Nj0rgHWsemEM1qPmQnmQxozbp/lTbZO3tDopLz+Va3IfVbg6x/a+5AEdkUCZ5mEygPmY0WeN/v7LNgPDcSMt095M2qsy5tvGMvEanFzFD7xBAAAAACUioknAAAAAKBUTDwBAAAAAKVi4gkAAAAAKBUTTwAAAABAqYaeartq5U1o9VjL9CdJ9d6uVTMXCc3sWK7QshsWWtkvxlsmWulXRfISy/pvD9DvZvjXMF6LY+RhgiNO00tReJ+lHM95E6wLTsHMm/RXeLL3MAwrbdaR1J8515XyvEHXNZCkF+OsznrMjaNOWMZaJOEYzJ2cWeS1XnafJaVhF6nIc6CjyOPMuz4UeX4c2rV7GMd6yrFZxHYXN5+yjYSE2pQ06qQ0dIt33kxYnX3iMrbhvN+N9ex5her21C+0suPA3ffVOY8bPvEEAAAAAJSKiScAAAAAoFRMPAEAAAAApWLiCQAAAAAoFRNPAAAAAECpmHgCAAAAAEo19HIqmZG8Bce4p0RiW1HNZiS6uzLj/v6s5t7b/aVWFhklUCpeORUrdtqLRM8Z4SzJzIpOKmeSED1vx2snZNynRJKnlBhIiXEftDtPIgre236sZD8YjaRuSeaftGLKn7oSXteg543e9lhtKzRi33n9dnmgArfvGcZ2iix/Iamdcn0o8M+tg8bl9+7DpG7Om8tfxPmkpGXM/u/b0bHaczvhQmweNwnnJvPc4I2lIo9n4yDIWtfifSHhopZUasZ8H5B780l9k1TqJ69VcA4u9HUWsczi7QLHjPferT3iMnmW/hYvu13geDbfh3mzOKPPoldOpZldTsWV8/rEJ54AAAAAgFIx8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACjV0FNtcxtW0mPO9bkJeFaSVF9ybf/tTGbSZv5kuuCEVVmrS0lbtdL03D7rj6dcTKxNSMH0mH3Tzn4gmLGZaemYZSb9HU8zLFhCal3uvik46dAcm31JyMvGQ840ufxRo/4iKeM5t5S004R0wpTtJ6WRG9t3DltnZcb93mu0xnn/MsH4/95FUs61BY4ZP9k6YYVFNm4Y7wNWZ2imL6vN3fvM3i8yOdZbX0pSvqXsj0hWalPCecsd/gWeA8xj03u/5WxmUIvrME+bSYnPTgecSqnvbrWG7A1VGtkLVWedchXt7MfC3ILdtLm57GWcxOFKyyuZkfH8XM8GAAAAACAnJp4AAAAAgFIx8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACjV8MupDCP6OCEWPykS21BpZS9UWWjatxtNZcqXUtyRUP7CUmgkuBch3ffgYnSzt32rBEpK+Qe7zIqz/YTND2P8p5T6CUOp5VGwAsoCLLttrc/qT2/7BR6DSRLGs7mq/tc5wGsostRRkcezlHZ+yrv9E8bGIOMsZTspz0/oM2sZt5TBydY56F0+Zd9Ym7eOgVGXOlqhDaPcvrsnzePWWMq6bktSNec2PAUeZ4WX7Eg5b1kPpJShyruNlJUllGfyqqmYm095j5pyTU9R4HXQanO77rzhs0o21u2pX9Bk9vYnxsxl7JJzRrNyPRsAAAAAgJyYeAIAAAAASsXEEwAAAABQKiaeAAAAAIBSMfEEAAAAAJRquKm2QblTo8w0MTe509h8Smqf8fSklLd2275tpY22Wtn3O8lwZkJr0YlpOTsn1/YHSAMzE1qjG59rrMu4P+VPM16aW5GpaV5y5qDLLEpIhisyAW5YqYFJqyrwz3Pu2DQ6wUqiddtV4Os/YZjF7P8faPsJ5+AkRaZgFpw0ao71lJTmEf/pOCXttfBj3ZJzO0lJzE5KdKHnjfbgg3PF5OqCx7O1vZD91kXujjF2QlJf5rmmrdAnSanGKct4+24Iiccpb/eGpsB9YB4jKUm8/bej8+AK7ZJkjoGKUfii0rAHTZhtZD8wM2suExvZy4SqN+myH8rCJ54AAAAAgFIx8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACgVE08AAAAAQKmGW04lKjt2t+AYeesxt8pGzkhwL17bfKzVNm/HmZnsdU2vy7y/0nTKqRilVkLL7uhojISUfk6KHre2kTA2ity+J6kES5GlBPpfZ/f2inH6GYbWZ1bfJJRH8pivJ6FvCt2+089WXHp7WGfpQcdANP6/h3k+dcpAWSWlhpXjb5bhchca8P7eEjTWGEwp51Fk33jHRjX7bvfYsBpnlQ2K/u3C5Cyp1XnQWNWwakxYx1NGoxev8/YxaG/GLIHinJ/N8m0pJSuMcVa4vNdOr89Srrcp+8YoqROtN7YFly2yjs+U15JUbmsYEsp9ndAvva+7wBJN1v3uXMAox2iOGUmyrtH985fe7Xjry8AnngAAAACAUjHxBAAAAACUioknAAAAAKBUTDwBAAAAAKVi4gkAAAAAKNWKeYkhhAlJ/yppvPv8f4gx/k4I4TRJV0raJWm3pOfFGO91Vxal6tyJ6UdmkpqkSi07mstLerSS0byUrUrDWKaVndZUWbDXVV0wUmWbLfN2e3Yuezuz85n3147ZnTZWt/rMjjlrWcsY90tS2+rnAhLLarOdf73ELqufK854sseA8fqN/S/ZfeaNMzO1LyUluU+tO4SssSw5feaMZzPlzInNC0ZCa8U4btt1e/MpqbLmGOjbN9Wew8tapjqf/fqt+yU5XeMcT0YyXLWSP241JQnXTNPra1a1Z6xY5+5KI/u11LJPc5KkdtWKDXTOW0ab3fFkLGMmLiekoffrPb6sceb1jXXc2gmtzrFphc06iaLmKdUZZ1YKp53Quvx2b59Z/Vx1zlvmOch4MUkJvU4/m6nnzngyk5VzJKcu9puVku2d62sZ78+kFZLajUFonRv8c5OR3GqdGyQ7JTlHqmp1rpsEbF0DvGtq9ls0lzmcElJVzT6reX1mrCnPOOv2iVUtwTr+JPsY9FLPrfOJN38wHzMPdm/7g93fu03zHJiQbm/fnz9WOVTsAzpa7zes+yUF53165qoGeM68pMfHGL9f0g9IekoI4UclvUnSZ2OMD5T02e5tAAAAAACWWfHv4rFT8OVo92a9+1+U9CxJF3Tvv0LS1ZLeWHgLAQBYw67//deNuglrzvW/R5+lYKzld+Pv0md53fTbrx91E7BGDfQbzxBCNYTwn5L2S/pMjPE/JG2NMe6RpO6/W4xlLwwhXBNCuKY5d6yodgMAAAAA1oiBfgkUY2xJ+oEQwiZJ/xhCePigG4gxXirpUkmaOnNHvi8CAwCwxp3/G3+y9P/mbzxn7OWzshEkmb/xbE44vyUey77f/Y2n8ZvZ6P7G02qA8fzuS1z8pPP83zzeZ9a6vD6rH8mXAWC9Rsnus5bTz62Efj6Z33guftK5ONaG9RtPqw+s33J6v/G0x2Y5v/Fc/KTzwb/T6bOU33jWEj5PsV6n99t0a3yafVbSbzwXP+l80Fve3lnG+I2nN87Gjhjbd34raOWNWK9fso/B1kT2/e44Myz2GZ8ADy5Xqm2M8aA6X6l9iqR9IYRtktT9d3/hrQMAAAAArHmDpNqeKakRYzwYQpiU9ERJfyjpY5JeKult3X8/utK6Ks2oqbtP/JNSrOZPTvUSWs3UPie1zkpPrRrpjFZqoyTVDxl/HpuZNW+357Kj0cKR7D+njd01bm6/spD955z2uP2n1nY9+28QXqqtmX5lJrbZfdafwjh5T2eceClnlYXsP895SbhWm1vj2a8/OuPMGoOtsYQYVseg43ndnZ3+8PosZTxbCZnu2Mh53FrHuSQ3vdVuwGBPW7fn+BgykzOthNZZL77YuNs71+VMo3Y/ObC24/SlOW767l53x8p/Fq9ZScDWJ3eS2TbveLL6xvtUyeob61OdPEmPxxdafnP9Hcdft9XPXkJr1TjXWVpj9t+UrWPN/8QzX59J+dPN+5+/7s6ePrM+ibLSfiXVZ6z4YmMB59iwxqD3PsQ6Pt3rQ86wzaw+XrcnustY5zPJTur29rN9fko4NhM+JbUGmnfc9j+2Up95SfHWp8TeddjsM+eamvcTdG9d9rcOBv/Eb2rPUgsyH7c+cZek+rH8+8z6xLdlvxU2P41vGUnE3vXZ0t/msUPH12Gn6trrs8bT+OHslVWP2heOcDh7/tA+dNhcJi5kr6/SsHdobcLZCVnPH+A52yRdEUKoqvMJ6YdjjB8PIXxR0odDCC+XdKuk5+baMgAAAADgPmGQVNtvSPrBjPvvkfSEMhoFAAAAADh1JJQZR1H+ec+7Vn6S9cvZU/wXtf/2f94w6iasOV/60K+Nuglrzpf/lj7Liz7L7ytXEDwBAECucCEAAAAAAPLiE88Reuq2X1r6/+b+uzOfUz39tOyFtxj3S2puXLvhQoufdD72mX/UWYZwoRXDhRY/6fzR5/9x5/mEC60YLrT4qd0Pv/iPj2+GcKHsB7p3Z/WZhXChzj+Ln3Q++qVv71kf4ULe86+5nE+HAeBUxSeeAAAAAIBSDfUTz1gJWthw4lzX+muqZBeo9j4hMT9VcP7YXmnli3cOTlT0lPGp2th4Xx52z+1QzX5BwYgpXjhtytz+3BnZudutcSeq29gHVoS3pPx/tsgRbz5zZqc/3Oj3hew+q87bG7I+IWlOGq/f/cTX2IZTBNoam96nlFYkd/8nCgvT3XW37TZbUd3W/Z0NZd/ddMaT/eld9vOTiqp7n2oOmArfWLdy9Hk0otf9j3uy7/bGU95P77xj0+xPt18G+2h5YUNPnxmHmvVaaglFzb3jKeUTdGt91rchvG9qmJ+G9i3S7PkSSjDrenl9Y7Ut++nup+HWOHOGs3Uddpcx7rf6rL+be1+D8aUL99PovMeA920E63W6rz+hNMOg562BVmVdn5xv8Zjlaawd4GzHfL7XLdZjzjLWN3K8C4S5ugK/rJSnnMvS/cb7UEmqNIxznVUCxjtv5fw2QtZjFecbGpJUdUrQWNda6324yxmbZqkd61qfUNqxf1/29otZBsotaZR9f8X4FlFo2gMtLmTvhOiURonN7MesMiuSVDk2az6W+fxczwYAAAAAICcmngAAAACAUjHxBAAAAACUioknAAAAAKBUTDwBAAAAAKUaaqptuy7NnpmRapsd3NpZTtL5kQAAIABJREFUxqo55rQ8pR5baFppo9nPrziJXdWF7Aasm1peXzP23LbSa+NUdk3OxrTdAfMbs7ffmHISu4x94KUj5k2AsxK+sh5b2NhZeWUhfwKflXYr2WOtsT5/qq+Z0Oql2lZWKMqZoWIFkPUnAW/prMMb57WZ7O3UZ+yUNesYbBlJwJLdz2afucezlTjtDEArNbDv/tktK6fa1uaMPjvq1T7Nvt9Nljb6zOob77yZN2lSGjzpcHbrAH02k31/1TmerT5r2gHeahvHp3feitXsF2rd7143rMTp1vIXM7Nt5SRg69iUpOqc3YYszUn7MTPV103CNZYx+qzzYPbdlZbxOvv65dj2lcdZ3emz5uF8tWy9MdOaMBJFnetDK6GfTVbYbMZYOnqOf2H26sXWjhone+d80sx+i2KOMzf13Ui99lPP8yWXSideOxb7zKzl7Bx/1nHrbb9lHJ/u+w2rP8fy95k5npw29x+3x3YspuhnP7/m9Fn9iLENI7lXsus5W+9dO8tk358yNlcsqN41d0bPImZ6cf5zfW0ue4dOeqm+7ewdGpvOBMYQxuzBGTeuz37gtuy7+cQTAAAAAFAqJp4AAAAAgFIx8QQAAAAAlIqJJwAAAACgVEw8AQAAAAClYuIJAAAAACjVUMupKGSXAPAipM1IaDP7P2FdkmRFEhulLKITsd+uZ68rjtXM26Fm7IqKESFtbENySll4Ud1mP9vLWOUPBkydXq5v+4v7you3HrT8Qy8rkjtv7LZkx+KbJVPklblwyplY/dbXoYv71yy/InsMtIxyQpJ93HjHrfWYGZfv/AnMLo+Uv5RD/5jpjaK3SioZieTmWPK2740ns8yF0f9toy8l5S51JDkjsG9dy+L7zbI1RokBb5cZ+9ktWTFujCevnIr1gNFn3tgM1nmzb2z2ttMsweIcg945LXPzbp8Zm3DGk9UH3jndeqhlbKe/9EB7gD5rOiWVzFJc1vXJKydjnTcTyl9414ciLI01q2uc8gteOQ17e9n3t41j0y11ZB1rKecz77jtGwRLbTXfUzh9NmDprl5WCZrWhHMMWiVArOPW6zOzPI9Tcq/vnNbsttU8pzvjzDo2vfNJyjGYd2y6ZXsGfGTZuT5hbFj7wHxP5R3P3nukvIy5iCS1J/JNJfnEEwAAAABQKiaeAAAAAIBSMfEEAAAAAJSKiScAAAAAoFRMPAEAAAAApRpuqq2M1KqU6a8bp5cSq1ocMwEwJdXWSKzykqysl+mlvKWkxuXdfvCSS/t22WJbnZepaKRsxWpC2mdCn5n9XPAwM/uzP2etO+5jNX/UpPs6jaS3QpdJOJzdMWu9zr40ud6+tcbnsJIWzTZbZ2n32Bi0RYOtz1q3GbhsJfG6yeIrb2/Qx9xjsMjjdsDQwEH2h5uo6PVb3nUZqaop5zq3Dcb91jm9v82DvOYir2luombKOdBKry3yuM1Y19L5wupnJ/U87zhbtr1B11Xwxx1m6rmXoN3/fmOFseIfT/6yudZXXLB1wgIrvK3uf52Lt52EVnM7Vp8lnOuT3geYF67863IlXJ/M907em+FRq+Q7CPjEEwAAAABQKiaeAAAAAIBSMfEEAAAAAJSKiScAAAAAoFRMPAEAAAAApWLiCQAAAAAo1dDLqRRZtsM0hLIpblS3VUqgXjFvV6vZfwMwI+n788AHbJslJaraLPORUM0m9Edyh75/s9ZX4J9NzLa5cf0pHW2tK2FVwbid0GcpcfEpJRtSSmZYfZbS/UVyTzMFxsWnlL/IWzZIGjx9f9nrzhtXn3I8p/RzwnnL5Ay0aGzILD3gSCkbYz4/oTRL0mUz5bw1aAmaQbaTMJ5CK/+6TCmlHFJKCuV4/tLrtq7D1rlZdokyV85zurv7E/azxX2/kXP9Xp+Z9YFSxkaRJe+S3gYPfq5b8XxRdEmrApexJF3T+7usZx3Wuc4tE5h3bCSVTvMWMurjuMvkwyeeAAAAAIBSMfEEAAAAAJSKiScAAAAAoFRMPAEAAAAApWLiCQAAAAAo1VBTbWPITmzyU6kKjK5Mie1LSB9rW6m2Y1X7di17V8SKkXbrxWIZUlITk5JjrV3m7cq+7Sxu1+pLSbKC5opMhyxcStLcoG1eSjNMSC30UtasFEyvXXnHU0qanTeerDQ5J200GmFuKaxTjTeezX5O6f8yE0p7t2vtg5TzidlnznhOSjrMeU1x+8VIHO5PnO49WRmNS0o7Na9PzmssMh2xSCmX+iLHecEppOY1NSU5M48V0s3dxOOE/rSOz5SkeHfcWgpIVl7absKxmZaIn3+ZpGunta6EY+CESgrdPrOSvd3zdsL7kCQ5E/FTTkH9+6X3trkd771GgcnOMvo5VO0BHZsJb4QGjSrvGvWlBgAAAABwimPiCQAAAAAoFRNPAAAAAECpmHgCAAAAAErFxBMAAAAAUComngAAAACAUg21nIokxYwttutOFG+R8cpO5K+ZsG+VMnDKmbTGsx9rjVfM23FqIns749kN8OK9W2NGJLizt63HUsofmN3s7ea+BOd2tz0JVWMU6vZC7Xr2/dbr98ZmSrx5gcWBTrBYqiM4Y6O/n5eWbay83hPud/rG7GczKjyhZxKy/61xJkkVY++0q0Zc/Ji9HbPMhbNvrP5sW8dmLX+ZkSK0e7Z7QnmaxfuNcRYaXl5/9t3eecscg15ZghL7xtJ7PASjZESlaS9vlR/IW4JHWr7/Bl2mUFaJg74xs2x8t4xj0Lum5SxD5JU6sraTdA50ykzkfr+T8fz22GJpEGMZ5wAwjzWnyeZ7B6NvCi93ZtasGLwzF/dVaBttbufvM69khn2ud87pectqFVmKUCcOgaXXYJ2CjWNWsl9LyvHsvt+yShpZ60oo9dO/rt7zljkEvbHRyr6/ZbzfaI/ZnVatZ5+EQj1h6meVwJFTHsdaVf6tAwAAAAAwOCaeAAAAAIBSMfEEAAAAAJSKiScAAAAAoFRMPAEAAAAApRpuqm3ITu3y0vRSUs6SAjKtpD0rMM1JyG0bqaqxLx1z2e1q9guN9ezOaSUkt1qpWJKdkJmUMmewki4lKfbFfy2+Bm/z1i4wguk6j+VMJ/SSDq3GWelnkuwENm/MDrjM4j7s78tlqzLT9BJS+4xxJtnJjSlJwM5W8j/UlxjX28620W8V43Va6XOSk2rrJbRaY3PMStNLGGcFJLrG3vY0jbRRI6G14qYWGmPTS5ZOSLU112Wc7EMRMbgDJB1a6cmSk5BqJbS6ScDGA954KpJxHbCuAZJUMfaNn3ic3Z/BOG791Pf82zdTXUtOtY0rpI26aavOdcBexrjfOja993uFJrEOvq5Y73aKkV7rvqcwjqfgJOFa7yuSxqD3fiOvHLv/+DgzztsN+yRsneuCdzynJOEafWb2v1vFYLBrzbJ1JKTatqwEb6NaRXvCOaCmJjPvDl6Fj2b2xTtMTZnLtMfzTSX5xBMAAAAAUComngAAAACAUjHxBAAAAACUioknAAAAAKBUTDwBAAAAAKUaOIoohFCVdI2kO2KMzwghnCbpSkm7JO2W9LwY473+SpQ51XWTUxMSu5zAJpOVQGaty2uzlUzWmqiYt9vrxo1lslfWMhKuvO276cFWyldCoKOZBOwlxPZ19GLyX3SS4ax0PnffmEm0xgLeuqzk1pQQzAL+BLTUv84BECvGOE/pM+d15u5njzmgnPReqwv6FwnOY4ubMc5BVl962k6ipXkMWsukpEOmjM3+9OTe/rDONWbSpbMdq//d81bKyT7f092kzQE337uOYB2DCa/TTE/2+sVMnC64L60hGKxY374FetqTct6ykiutl5l23cifgunuG6sNOXbN0nbN67BzTbXa5m3f6gPrfDai1Hd3mW6/m8e612fm9THhXJ8wnkb28dEK59Gk95tGGror5bi1zoEJx2b/fl62nxLS5a0k3uZk9kIL0/Y0rnrGhsz7Kxuy024lKTSz31h7qeut8XyDME8G7i9Lul7SdPf2myR9Nsb4thDCm7q335hr6wAAAGtI8/Ah7fnr92nhrn069/d/T5K0513v1sKePTr79a9T/YwzRtzC1ad58JDues/lWtizTzv+7C1q3XtI97z/Q5KCqps36vRffL6CUVbuvqp56JDu+ovLtbB3n3a84y0K1aoOXPlPatyxV7UzTtNpL36OQoU+m739Ft31qY8qhKDx7Tu05anP1oEvfE5Hb7pWtc2bteW5L1Coep98YJgGGrEhhHMkPV3SZT13P0vSFd3/v0LSs4ttGgAAwOpSmZzS9pdfpPFzd3bvqGjrL75M6x7xiNE2bBWrrpvSll++UOP36/RZZXJCZ77qF7X11y5W7fTTNHvtDSNu4epTnZrSltdcqPFdnT6b332b1Gxp6+suUn37Vs1+8/oRt3B1qG/crHNeerF2vPw1ah07qplbvquZ3d/R2Re/RmNnbdex664ddRPRY9A/lbxD0hu0vOzp1hjjHknq/rul4LYBAACsKpV6XdXJ4wXVQwiqbsj+Whs6Qr2uak8R+sq6KVUWC9xXK/ZXsO/D+vusefc9qp+9TZI0ds52LXz3llE1bVWpbZhWpd75HUeoVLSw905N7TpPkjR13gM1dyv9tJqs+FXbEMIzJO2PMX41hHBB3g2EEC6UdKEk1TZtzt1ADM/S14f279P9f+f31Z6b1Z1/81cK1aoqExPa+oJfWDq476uahw5p7+XvU2PfPp37B7+39PWNY//1Dd3z0Y9q5//87RG3cHVqHjqk/e/9Ky3s3aed/7vTb7e+4bc0ds52SdKZL3+Zquum/JXcxzQPHdK+v3qfFvbt084/fqtCtarZG27SoU9/TopRm5/zTI3vPGfUzVxVmgcP6a53X67Gnv3a8Y63qHHnPt379x/rPHbgXm34qcdo+omPHXErV5fmwe7X+fZ0vs6nEHTPFVeqde9BqVLVGa94karr1426mThFNQ8e0tz139bGpz1h1E1Z9epbt+jw1z+nDRf8uOZuvFntmdlRN2lVmd97p1ozx1SZnJS6X0GuTEyqPTsz4pah1yCfeP6EpJ8JIeyW9CFJjw8h/K2kfSGEbZLU/Xd/1sIxxktjjI+KMT6quo6L12q29PWhHecu3T77la/W2Rf+ksa3n6OZG7414haOXmVqStsuvEjjO89ddv+xb3xDtU2bRtSq1a8yNaWtr3rl0leGJGls+1k667Wv0lmvfRWTzgyVqSmd9cqLlvqsvdDQ0X//kra++kKd9csXM+nMUF03pa09X+cb27FdW193kba+7iKNnb1Nk993/ohbuPpU101py2uP91nj9jsVqlVtfd3FWv/jj9KxL399xC3EqSo2mjrw/g/r9Bc/h9/gDWBsx3bVt2/Vvj/9C7Xn5lSZXj/qJq0arZlj2v/Jq7T1WT/fmWzOz0mS2vNznYkoVo0VJ54xxl+PMZ4TY9wl6fmSPhdjfLGkj0l6afdpL5X00dJaiaE44etDlcrxH67HqPrpBCZU+r76Ikkz3/qWJh/0IImvCpmy+q2xd7/2vuNduvdjn1BMiaI+xfX32fz3bpFC0P73XKa7//rv1J5fGGHrVqdQr6uS8UeM9vyCWoePqL6Fc1i//q/zVTdtXDqXtWfm+KMQSnPgAx/R+p/8MdW3bx11U9aMjU9/krb+6kWqrJvS5MP5Q5okxVZLe676gM548jNV2zCtie07NLv7ZknSzHdu0kTfBwUYrTyptv3eJunDIYSXS7pV0nMHWShvOQUrLt5LuE+J1za3Y5ZYsNdlxbg3+uKQe283149lr2sse0NeVLW1fTeqO2TcDtLcbbfq7o9+RKFW08bH/qS9UWddgzhhke4dKRH3bsx3znhrt2RIt4+OfOUanfniF+rIl7+88mtPmZsOuswAz0sqG5PQz+5xHqIUorb/zzeqMjWpA1d+RLPXXaepRzzMWJmzHnMbRvmFrHHuL2KXrEgJE1ypX8zHpPbRI2odPqKtv3yRjv77l3TkC1/U9BMfZz4/t5RxlrdvVjqe8vKO54qW+nvuWzdo4mEPHl7pgZTrk1tKwbpA5dzGSstUpMr0OsVmU3f+7h8rVIK2/vpr0vrNGhv9ZVMWn95/APbcLPJcn1Lqqf+x2Gppz+Xv1cKde7T3ve/V5qc/VYf+5fOa/95uNe6+Wxsff4EmH2mczzx5//6W9RpXKnPhjTOjZEIwSpd11jfYdmKrpf2XvE8Ld+zR/ne+Txuf8QTNfP2bah64V0f+5Qva8PjHaOoHH569sjLPZ4MsU3Cfmef6/utTq6X9775MjTv2aP8l79OmZz9FB6/6pFSpaOIh52n8/juz11OG/jYv3c5f6sgsTeKWr7OWiTpy7X9q/o7bdPdnPi5JOv1JT9PErvvr9r+4RLVNm7XxsY9bvu6U90GDligbZNx518F69nYWprPvP3KOPY1b2JD9LdP6MXs8V+eyB2513h7QrYl831bINfGMMV4t6eru/98jiS/ln+ImduzUOa/+VR38t6t15Jova9NjBpt83lfMfvvbGr/fLoXayfwN575p8ZOUqe97uBbuuEOyJp6Q1EmBHL//LoVKRRMPOk+HPvf5UTdpzZj5z2s1/eQLRt2MNWHuWzepMjmh7b/7a5r56jd05NOf18ZnPGnUzVpVQrWq7a+4SK2J42/gtrzsF5Y9J+aeRZ7aQrWqrb9y4bI33Tve+dbRNWgNCNWqtr7mlZKO13fc+vqLRtmkVWnDIx6pDY945LL7Jnfu0sYnPX5ELYKHAkAwxebxar6V8QmF+3iwUJbGnr2avfY67f3L96qxd5/u/eQ/j7pJa0J7fkGx3fkL2tz3dqt2xukjbtHqN7Zzhxr7Oj+lX7j9TtVOP23ELVobYqulxp79GtuxfdRNWRtiXPq6cmX9OrVn50bcIADAqYKPabBk6etDe+7Unssv1WlPfpru+dTHpRBUnZzSlue9cNRNHLnYamnvZZ0+2veXna9YTT+uk5K5551/rs1Pe+qIW7g6xVZL+9/T/crQuy/Tpmc+VQeuvEphbEy1M07T1NOfPOomrjqx1dLe93b77F2XadPPPFUT591fe//03QpjdZ3+co7Hfktf57t9j/b/2fu06b89Re2ZWU085LxRN23Viq2W9v/5Zcv6rLF3v/a9/S+kdtRpL3veqJsIADhFMPHEksWvD/U6+8JfGlFrVqdQrWrbKzt9FKvLv0q17bWvHkWT1oRQrWrrq1+57Hci2974Kz1PGEGjVrlQrWrbRa9Ue/x4n43v2qnpx3d+19k//pD9dT5JmnzYg0fToDUgVKva+suvXDaeznzlS0bYIgDAqYqv2gIAAAAASjX8TzwzU9jsv9y76bVFbLvLTnqzovGcdRm92hoL5u3WuJVem5AYVqSUT6IS9pmVNhqcAWAlPSalYxYpJVEygdln3kIJCa3WseGlI5oHbko6pcVNqbYS6JZvqDcpzyrpYh2DKW12U5KL7JsiOal9Vj+fkFC69PwCtr+aJCQBW6EzZnKt/BTzzOe76cEj/qTcPAdF87YZVO+UsDL7wErUdPq4yOttcHaOGUhUdOKztf3iTnW2YY2/Yb0RSKiikHtd3mMp/VlE1yyuw9q8842ctvFYqOU/B7rHrbEd973LMHjHYC27be3x7OcvTHvbyT5xNcft11+fzW7c2BG70f1zm5XwiScAAAAAoFRMPAEAAAAApWLiCQAAAAAoFRNPAAAAAECpmHgCAAAAAErFxBMAAAAAUKqhllOJMpKXE+K9k6SUP7Bin71IdCvCuercNmLh2/UC882LThe3kt+N+1P2pReVHVrWA/m3Y2/EKxlS3PbTykzEzNvRaYC5nYQYd7fEgFWyoMAY8+A1etDo+Z5jtW0sFJo5G6bEfjZXlrCuYZUgyTs2ij42iiwxkNQAa/sr3C5Kgcezv50Cy3y0B1woGP8/6PatMWhdn7zzWc7SLN4ybjmbIs8bloSPG5L6ZuTvUXKcA1Y6X3hle6wHiu6zvMdg2deAxfWb5dacZVNKGpnHk7OdUY/NEsvnLWqP2cs0J61H7IaZlfAa3pyHcir4/9u721jLrvq+4791nu6dufPk8cPY2GNsqDEB0gC10qS0COI2uC2KeUNCmigWJEJFVRqiRA2kL6pWqtqqUVVUNUjIeXBUmgSREKxKQSC3zYMiSAxUhWIoFIyfxh7jpxnPnXvvueesvrhn7Dt31u8/dy/vfe54zvfzZubsc/dee6+99tp73XvObwEAAADAJYSBJwAAAACgUww8AQAAAACdYuAJAAAAAOgUA08AAAAAQKfmmmorqRimVJVK1bCMahXhiDZ9K0i1XTtq4rxM+dPgzIVpYk1Fx1+TMlZTTovlu9S0NlM4W7fbmOBzr4OEPpfGHKbNtnkNtpnyVtFoLkjC3f7S1YFJNKy6ztrs6yquzb3Wakp52+y+BRXdRuLtuU3VJKQ2/PlQm0nANYIkYNc/Rf1W06TFmj6w9UTNvb4+XNrotGJbrjrn9eeOJvV8bp/ccdacs+A43bVelfo+rxR/19hrjt89hwUJ8r4PCNZpeA228hzU0TU8XS43znHPFzhZKr+3ueLXGayW35uMfEX31+1bRfzFEwAAAADQKQaeAAAAAIBOMfAEAAAAAHSKgScAAAAAoFMMPAEAAAAAnWLgCQAAAADo1PynUymkFdckOLfOzaSwy5kszmOG8+MdEcbbXycT493bcOX7HXDbcstD0dQkFZtrLCqkzR1oc2qYqvLbO5g0rThp4YHWzCnU3qaseU3b49aJqrnp9Bdta3F6oj1XM8VAjapro0VBH5DNyamZAcYXEhynvRFWlLPbMs573XAqBwVTI7jjrJmWAc37x6jNtPmnkCb31HM/GzxX+XXLi3Ob95qadaruj/Np6FXFtDk90Ryme6vmpo1ZKT/A5ysmdlNTs63JxB/o2lp5WDh63A8X951sVnH8xRMAAAAA0CkGngAAAACATjHwBAAAAAB0ioEnAAAAAKBTDDwBAAAAAJ2aa6ptUjlZNQcpnMlFg1WkT9WE9jVNuw3tLH/b62SCqXqTckG9TV9MzyRWTTeDChiYJK2ozhq/Edixzgv1G9RzTXpvduuY+k9B+pdNH4t+nePCGWuSaCvqrM3UvKp6rkin9IW0sM721+4cVCT0uv4hPMymfVDQZmyiZ035O4vJ5v/bV6lJ1nZNI7gGs+m3Lo14QqPifDa+34T9Zrmc3N/jePmdZWx/PY9g47bLqLluqzqO3ZX7Ah+CKdl+u3l57rrN/aj8ipPgdi66p+5869zPuuKjfqvmGdGuE7QNu725ZaU3K7ZiFoVwhouapPx5pOvPSW9YvnD37TdTX0haGo6Lyzc2/dBvfVA+cZNlv054TRfwF08AAAAAQKcYeAIAAAAAOsXAEwAAAADQKQaeAAAAAIBOMfAEAAAAAHRqrqm2Ujm1KkyyspFlUWzf7su+KBd0GYWQmuH8ZORfT5bcxkwyXMWvDMIUUndAUaW5OriEAyUtl+YXtk2j7cTlptuqSNWtEl4ErvwO01a3r2LKuSBVd/tLl1Lcr6i0hgG50TqtXmdtrLP9dZupgW2mFl7KfVBFcqbru223Hfb17g2/jnUp13NDcb/ZZrx9i0rFz5a5hNQoJdoeZtQ2XXqtS6gNn11qbp7NV7lgnSgBVxdJt68J4jXrVLUmex+uudc2qP+L1VmU0m1nEQi2Z9pNtBe233TtuSJ1/cKN7+Jnom2Z9afjcnTs5qa/oA4slw9oOvUHesaUM1r1O91fb9bW+IsnAAAAAKBTDDwBAAAAAJ1i4AkAAAAA6BQDTwAAAABApxh4AgAAAAA6xcATAAAAANCpuU+nkgtJvdlMYyDJT0tQMWVEmBTdNBY9mmbD1Opk3/krrR17MdL47LXldZaeLh/oYNWXv3PalnOmQ79OHpipJGp+NdFCIvp01k5SOdl562fcvADBiS61v3B50Dan7uqpaM/h1CD+rfN/bnjxn3RtIIoxt9dTPyjPvGfrc07TMuQd+ep5MN3+ZnmdzfI+2ymQFMTlB+fIXoNmedvtzO/0jpW2n1vTPzS9ziJhO3P9U03d2J+v2NbOVba3MzfNQNDX2r7GFR/Uc9U1aOfZiNYJ3ivZWUR0DmemwfU0HZjpRNy0SUEdu34z7HPtNdhi2yyZ9RduyoiUms/dFT4HuPPk1omOsc22GXF9musCwz7I7Fw0pZF9Rq04llbvqQ3Kj+pEwbRN8u0p7LfsM1rzdfx9w29r1+1s+/mouQ83nIpu//KG3dSNh54pLl+b+MHAeFKutI2hf+DJUZ9SwF88AQAAAACdYuAJAAAAAOgUA08AAAAAQKcYeAIAAAAAOsXAEwAAAADQqbmm2maZwKYo0dOlX7WZslZhZzrm+e+Z4g+Oz19w1foL/z188GxxnecGh4vL0+M+/ssnhgWJmm6dmtTCmlTbHefsXJJnlCOWTUHBqbGJjlUpnHZbLaeNOjuKeeHYom31TXJrdJw21davYuugKrUweO+l2t7uTQyfS66cBknAaVLe6Sid1KbXurqsaWdVdpSzvVy3C2bfomRtGxpY09dfJHGxvANuud/WbsP80rZzm027sec/WMcl5FYlAYftaQ/SqHfRzuKUaPOGq//o+GuSpW2qa8f3h3P7OjXXoEm9l6Q0Ke+068+k6N7p2kzzNPSonhsGakoqJP5eLKHV1KUkTSfl99I42LGaVFX7XNvi826TVN1ZUrer/xzswHRkkuKjZzfTzqJk62zKsW0z7Dd32QfuYnYBl6y99Wb5vX0H1ovLX3fVE3ZTN+57urh8HDy8LffHxeX3n1q262ycDiL+C/iLJwAAAACgUww8AQAAAACdYuAJAAAAAOgUA08AAAAAQKcYeAIAAAAAOsXAEwAAAADQqV1Np5JSelDSaW0FkW/mnG9LKR2V9PuSbpL0oKQfzzk/E29IxaFuNDWKfa8ixjzXxJjX/LyJZD60Y8qU7a9feaRcdV+BODwZAAAbpUlEQVQ5ta+4fPqUjza2c6BUxI5HVeaKsVOwNKn/3eyr+ZlpMC2BY9tZzXQBVVPQVLTNnavsajoVEy8e9QRu15pEr19MWGcVcfG73bfBtvx203BdlH4eBFMMNI2+l3wd1ExBY8to4Zydt42G03mY6Xwk2WkuWtfwGqyarmHnVEcXrzLloZ9LYDo101xsmhVqpmWI2obbXotdQNU9ILie3DQLPTcFTfgcUjMNVPN+y02zYGZ6iuc7q5g2x0331AtOtK0bJ6ozs614+gmzPNqtC9ra7IftXHjB8bvHreB6sqetzesp0kJfd9GfjerMPKOF91T77BKU49r6wPS1Fc9uO9tm2FbP/Uzf9/XJ7PORlfKUi28+9JDd1q3Lj110X3Z6cPnq4vLHri1P7ShJJx871qiMJn/xfHvO+Y0559tmrz8k6b6c8y2S7pu9BgAAAADgPC/lo7Z3Srpn9v97JL3rpe8OAAAAAOBys9uBZ5b02ZTSF1NK758tO5ZzPiFJs3+vKa2YUnp/Sun+lNL90+fPvPQ9BgAAAAC8rOzqO56S3pJzfiyldI2kz6WUvr7bAnLOH5P0MUlaOn58Xp9gBwAAAABcInb1F8+c82Ozf09K+pSkH5T0RErpOkma/Xuyq50EAAAAALx8XfQvnimlFUm9nPPp2f9/VNK/knSvpLsk/dvZv5/eTYHFNK+KlLNoHZte23ZCqWMSs5ZHY/v6yqXyx5D7w3LUo0ufk6Tepkn/avn4qxKH3bZS/LpcjtlWv3HxNuUt3A+bjhms02pC6c5tV6wzEyU62qS9MFW24TphSvUef1DCJU0G6ZA28q8qbdQsjlIDK6pst4mG238uu8bRNKFX8qnCe3z+26jL3dVZcAJMn+a2FbfNhssjwblxh7Pr+txFenLN/ckmatbUWY0wPdikjZok3tK2LpaqmaN2Zvu65m3TiurSJQ5Hm3PHW/XAU8E+b86rfLe8+bXZ6F577mdt6n3z44+uQfdcF1+37d2fqk5nxVik1yuPH0b98ljghtFTdluvGjxd3lbyqboraaO4/BUHXmPXeXxU/KaltZuP2h6T9Km0VesDSf815/yZlNJfSfpESulnJT0k6d2NSgYAAAAALISUa36dW2np+PF8/Qd/8YLl2cy3JQW/zQh/07nHf/FcKv9m4tprn5UkfeGOf1exUQAAAACXopvu+TcvvnDzpQZ/pe0PyuOH6698rrj8A6/8n3Zb3z86UVwe/cXz4c1DxeW/fuLtdp0vff6W4vLv/NIvf3HbFJwveCnTqQAAAAAAcFG7TbVFi/7mZ37lgmWvu+KJ4s/+2YOvKm/k2yt2+73N8vLoe6E13/uZuu92tPAdz91Ik/JK7vgjU/NX9+kwWMn81sp9h0hSu9/xrJA2yr9rShvRRwjM4lHwSQVXB+43fZfCdzxdI9wsL0/rwe/t3HeygraRh+a3kKbOot+advkdz12Vs17uHNLYF+Ku5+nI/3bW1mfVdxzba2dRXdo6G/v2lNx75V+Oh58isnUWXWctfo+s6kNWDa9NSUpny22wNy4u1jTqz9x7Nf1W0DbtNe36kwrZ3AMk36e5a1Pybc1+Wi26Nl2dRd+9q/iOp22DNe1srVxnvaCvc89iOerrmtZnzfcVa+61rvonQTt73l2bwTkzz5vh/cHVTUUfOK+v7C4C/uIJAAAAAOgUA08AAAAAQKfm/lHb0scvwrh8O/1D9HGNhjtVI/qIUYsfDRyYqVnGwZmzHyOpmBoknk6k4RQkFeclKj+ZAw2j393HQtzHhqOPRrb5sdGaaVvsx4X8pux1E/UErs6ijxQ3/FhQeM20OT1SxHxix00/EB2/++5+GP1e8TEzW35UTtNtRR9BddMf2GkZKnagZgqamo/mNb3OIlFcvqnPafRxRjfNRsU0I1VcSEbF1FFVu+b6+nHQoNz9yd0fwumh2vt4clhn9t7d4tcNommYXL8RzoLkrqeGy6XKOmveohp/DDxs52ZbUV9X8+zQcJ34nmoWt/jsmqfNn9GjOrPPLuH9wS1vXmdt1k20rZ55b9Qrf6/iUG/NbsuFCC0F7Xk5lb+L4MqXpNxwJMlfPAEAAAAAnWLgCQAAAADoFANPAAAAAECnGHgCAAAAADrFwBMAAAAA0Kn5ptoOsqZHNi9cXpEQ65KfWucC8ILyh6PCMUraPzQzV0taGayXly9vFJd/r1SPM8lMEF2VBBwl0DVMDIuS4WoSwyZulSAd0ibgmfTg3tBPTtyrmFTdJVqG9Wz22dVZNEH7dFKOjcvBHMzOYOhTzlwac79fXh4mpxo16Zj9nj/QbOp5c1pu6NNgUvepWSfStG5sWwremwYJkO49Vy9b75WXby6X29lk08cWTs0k7VFf69J7o7px101NG7RlVDTOzSCJeDI2fbppg1H5ybWzln8N7dqG3beKPnASTB5vQ78b3gMk+TTu4Jy59hTWs1unYRmRaZDGPXFpo+balOQTQk05rv1tvenfaiq6Buw90vXp9mbvt5WDdWxafpSUbtqn7c+iftMtr2hPNdfTdKn8Xh5UNICgD7B9XU26vjvOijrrBc8h7n7nnl16Lo5f0rCiOnsmCXcYpdo2TNHnL54AAAAAgE4x8AQAAAAAdIqBJwAAAACgUww8AQAAAACdYuAJAAAAAOgUA08AAAAAQKfmOp3KyvK6fvjW/9doHReL7yJ/JWkYvOeMs5kywSzf1/dToxwanC0uv2K4ate5anC6uHx4XTnC+OEjV9htrW6O7HtNDYK6dOfAn7OKaUZa1jMh+678KELabWsQrNM35QySX2czl6egGPXKU+osmeVtGwb77N5zy/sV12zEtU13PUfrODXbGk+bd7mubqL97Zu2OTZtKXpvbTq06zQ9n9G21k3dRPu8OfXvOe76dNty+xUJp60xkxmsT3w5a+Y91ze4vklq3s4l39bdsUSifWtqIzj/TacHGvaDvr7FfrvN449smnM2NlNqSdKZcfnZYRK0Z1c3y4Pm96GJm7qqovxoahDXBtw60ZRS0b450bRezr5B+ZlzZPqz6DlkbVLuh6O2EV1rJVGdrY5N+dF0W2Z7UV32G05NUtNmovPvylkK+pr9w/IUiq8/fKK4/Mr+Gbstd7ddi6bcM/3GNUvlMYokjY75sU0Jf/EEAAAAAHSKgScAAAAAoFMMPAEAAAAAnWLgCQAAAADoFANPAAAAAECn5ppqe7h/Vndc+ZULlo+z341hKiejuXTQaJ2I2weXqNiTT9I61F8rLj/YK6fdSj6F8qbR94rLTx1ctttyqVQ1KZjLvXLCVsRtK7IRJFc2tZx84rBL23Tnf1KR2jiUTyxrU5tJsDXnLG5P5fcm5ndd0TkbmW1FScg1x+PSsGu2tdS82Wi9YTHRbw2HFeW7s3nGJE1urdOsoChx3CVnjoMjXXNJvNmn57q26fqAmr5pGuyza+tRXzNxCaUq71vbfXCbfY07lqjOXBpydJ7dPToqp+m2oucQt881dWnTo4PnEHc+o+etqD4dtw9R6rnj7g9RsnVUB03LqXl2cvsW7XNN3bh+46B53oyeg13bfHpywK7j6uaAKX8UlL/R8Hlbklan5cTlmnR51z9GfXBNIv1yr3zOovN/dPB8cfnx4VPln694Ro+uGFdnr9/3iF1n/dXluvmmKyMoHwAAAACAl4yBJwAAAACgUww8AQAAAACdYuAJAAAAAOgUA08AAAAAQKfmmmo7Spu6cfh0o3VqUkV9aqAfZ7s0LZfAF3GpdSvJp08t2wSwchLu0X45+aqWSw7d3/PJZE2TE+PUxvJ7UWpmz5Q/qkgNdOmYde3PJ5bVJHdOzTo1XBJsdC5dPUeJjk3PZ5R2OrTl21W0nMpvTnKQhGvWkdnn/SlKLWyehDrO5XazZpZH9ieXqBldg+W6Odzz5Z+eNtu3UVC+z9MMEiVNgvSZ6XrF1sqiO4DbVtRvLAfXjTMxq9Rkzbp9c32gJK2Y+1OUnrzm+rqKe6pbJ6rnqE8pqelnw3taxb3DpstXpKC6fns1TLV16e4Vz0EN06O3ynFtxq/jE4ejBO3y8Yxq6tmUE6WtuuOM0k5Hpq9zz47Rs5u7ns4E9eyekVfM83aUOl/j2Wl5JgeX0Cv5NuDGCOFzUMV5rnHQpNS6+7B71pGkNXNPr+mbrh08Z9/7e4e/Wlz+n8zP8xdPAAAAAECnGHgCAAAAADrFwBMAAAAA0CkGngAAAACATjHwBAAAAAB0ioEnAAAAAKBTc51OpZeyDvbWLlgeRfu6qOJoHR+J7OO1XYz2xE3LUDFmd3HMUvPo9yUTrS3FU5A4+83xR3H5TU2j6VdM9Pa4IpG75rcprv59ULdvZ1H5dgqS4DinQVx2UzVT0NS0gXHDqXaWgjLcJA/R1CDOMFinb66bnllnyUxZIkk9s61+8q1jYI50ovLUIG5/JWlq+roljXz5ZnNROadNP+Sv26gPKC8eBuUvufrs+fZsI+bNrkXt35XipgDaes/tly/HcffBaFoAt29DO6WXF/WPtg+wfa3f53HFFFmN1fRzFVNmtMn155K/1wyD56C+ytNMbITTfZXfc1ODRFOGuCk7onUcN52LJN/XmHKi68m9554dpbrr1r3npk2Jrqf9bmqOYOquDXOefTsL+iB7r/GW05ni8nGv+ROfe96LprpypUTPqK4FRnt8sOem2inXznr27Xzd7Nvq1A/9XDu7JpjCsen4hb94AgAAAAA6xcATAAAAANApBp4AAAAAgE4x8AQAAAAAdIqBJwAAAACgU3NNtU3KxfSjKBnPpTPWJMZF5Tg2ndIkI0aixDJffvMUUlc3kxwkelYE8Lk9cOmQbXMpaxGXwObqxqbQKqjnoHxXzjhMDew+HTFWPtNR/btk5eWKdEK3xrjiGgwTh13apzmWdZMAuVWOSQBsMelyUtGfbIats2wtN087df1JlH23Yc7nRnCcI1OfbluS75/GZlvTaFtmnSjR0YQW2vKluO8uCn7c3VNq0qubt6bgWILya/rnNZOQ6tPI/bZcfxal2kZJsI7bN9fTRGmSLm3T1UtUfo2a5FbfozYXleP2zSX0uiTm2vJrNH2uW+5F7bks7gMaPgdEaeCmT42uGHec0XW7bM6buz/FKd3tiZ633blZnZoE+aAcd62vZT/0Wzbp5kvBs9tKkCJfwl88AQAAAACdYuAJAAAAAOgUA08AAAAAQKcYeAIAAAAAOsXAEwAAAADQKQaeAAAAAIBOzXk6lXLEdBhjnlyEss8jrpl+omn0dxQe7LYV7bNfx0z/URG97yLhJen0tBy73GbEfC+Ivrcx8kFcfU1ce9OE8+j4naj9+SlYovbc7PdDNVMNRdH/buqgmrh6z0d1uz2Lpp+wU6NUxJjLHP802Oeh21rQnIapfKTRdB6Om2plPW/YdWw9B+W7OnNTOUTtouacnZm66Sea949uao5o2iA3rdVaONVQeZ3loH+Uec+VMjL3TUlaSuW+Pp42xvXPwbQxZrm7b9z5Fx+w23LHPxr5a/DuN/5OcbmbLiCamsTen4NzNsrNp4Jz14BbJ5oaZWzem7T894a+7evam5ok4u6PG+F0Hma6q1SenCK61zU9Z9F7NVOwuKnYJqb9RaJpPlw/XDOt1zv+/OeLy6ebfgfyhmnrA3+cf3L7R4rL7/zyzxWXDwe+P9mclOt5aeinG8vmXnN2w0/csm9UboPff+WJ4vJhz+/z2DzXn9kc2XW+/tQ1xeXPPHHIrpNsP/yrxaX8xRMAAAAA0CkGngAAAACATjHwBAAAAAB0ioEnAAAAAKBTDDwBAAAAAJ3aVaptSumIpLslvUFbuYzvk/QNSb8v6SZJD0r68ZzzM9F2pkrFFLYPfO2n7Doro3IK43ji09zWN8uHtTTw6VPuvTWzrefXluy2XNJdr+fTt1ZMktWNB8tV+uTZA3Zbz4/LiVWTafPfM6Qgte+5M/sarbO56c/Zyr714vIbDj9n19k/KLeNUc+f51Mb5X1eHpTr/5ql03Zb77vyz8tlZN82nKbJtVKQkBtsa6zyOVg2aX6ST9rb3yufM8knKrrlvpalnklBHAXZ0kupnLIWJfDZREETtHc6CA10qbbLzQOH7T6vBYmiLlU2yjmM0mOblhMlwVqm/GFwzlx6rEt6lKS7v/d3istv3f94cfnx4VN2W87q1PcBp6blPuiZzRW7ztrUpyCWHBv6ftOlmj66foVd56GzR4vLN0xqoiQ9+vzh8jrmnnr8av/4MDB9wMrQ90G/89RbisuvHpV7myWTditJB/trxeVRH/jcZH9x+YmNcr1I0v5++Z7m+vRH147YbZ1YLadQrprng0g/eHbZZ+6dy/3y8o2pf+w8u1lu59HznrMRrDM2CaUuhXQzeHYaj8vHEz3vDfrl96KUZLcPbp+Xhv6e7tfx14DbN/dceXDJXxs3X/u94vJnz5b7Rkl69lT5ehqO/D7/o6/9THH59131RHH5kdFZu61HVv215rhz9rTKxyJJV+0/U1z+Nw4+WFz+iqHvN8e53DbPTH0fcHT06uLyP5mUl0vSsF9+3vqu+fndPh18RNJncs6vlfQDkh6Q9CFJ9+Wcb5F03+w1AAAAAADnuejAM6V0SNJbJf2GJOWcN3LOz0q6U9I9sx+7R9K7utpJAAAAAMDL127+4vkqSU9K+q2U0pdTSnenlFYkHcs5n5Ck2b/FWUdTSu9PKd2fUrr/2af9RKcAAAAAgMvTbgaeA0lvlvTRnPObJJ1Rg4/V5pw/lnO+Led825GjzT+nDwAAAAB4edvNwPMRSY/knL8we/1JbQ1En0gpXSdJs39PdrOLAAAAAICXs4sOPHPOj0t6OKV062zR7ZK+JuleSXfNlt0l6dOd7CEAAAAA4GVtV9OpSPp5SR9PKY0kfVvSe7U1aP1ESulnJT0k6d0X28iDq1fqZ7703guWX3PoebvOXztUjl1eCqbMOLlenmpkaiKkI88lH+/s9E3stIsdl6SbDpYj+68elevm6KgcuSxJm24qiyD6/sm1cp25eHNJ2jDTo/RMNa+bCHHJx3gfGPhI7qOj1eLyQa/5d4kPmKlZrh2dsut89Mm3FZc/cbYcYy/5fYva5tqk2VQKUSS7i7g/GExL8JNXfb64fDJdtuu4GO+emdBjGvwOzE1Z0E/lcyb56TSeC+pyaKZgsWWY60ySls3UDOOg35qYunGlrFb0Z3bKGEmTiilYStNjRX7t8R+17x0elqPsDw98xL2bZmJ/z7eNN6w8Wlz+mlF5OpVXDnwfUGPV1NnjEz9F1hkzPYu7bo70yn2j5KdhiqZUusb0gwd75WlGJElXlhe76+amUfleL0mnTF/z3Y2r7DqurUfTDzhXmzYQHf9aLvc1T478/WHF9HUbps6+2jtut+WmoHl01U/n4u5Dg2BqkKNL5WeRY2YqspopQyKnNsvPaE+t+ykr3D3VTTWzHkzN4p7E3JQlUlwHjjsH7pyNBv5+5sq/bsX3de4Z4fS43DfdsP9Zu61XLz9p9su3s5Pj8nVzxcA/C7spql6zXO7rXzs6Ybf1zY1jxeW3jMpTs0jSEXMf+tyZW4vLJT/d1TtWvlFcfvPQ3zcm2T1v+fb3xuVHisvffvgBu861g/K5fqv5+V0NPHPO/0vSbYW3bt/N+gAAAACAxVUxyzcAAAAAALvHwBMAAAAA0CkGngAAAACATjHwBAAAAAB0KuXcPF2rurCUnpT03dnLqyT5GDssAtrAYuP8gzaw2Dj/i43zD9rA5euVOeerdy6c68DzvIJTuj/nXErKxYKgDSw2zj9oA4uN87/YOP+gDSwePmoLAAAAAOgUA08AAAAAQKf2cuD5sT0sG5cG2sBi4/yDNrDYOP+LjfMP2sCC2bPveAIAAAAAFgMftQUAAAAAdGpPBp4ppTtSSt9IKX0rpfShvdgHzE9K6XhK6X+klB5IKf2flNIvzJYfTSl9LqX0zdm/V+z1vqI7KaV+SunLKaX/NnvN+V8gKaUjKaVPppS+PusLfpg2sDhSSr846/+/mlL63ZTSMuf/8pZS+s2U0smU0le3LbPnPKX04dlz4TdSSu/Ym71GW8z5//eze8D/Til9KqV0ZNt7nP8FMPeBZ0qpL+k/S/r7kl4n6SdTSq+b935grjYl/VLO+fsk/ZCkfzI75x+SdF/O+RZJ981e4/L1C5Ie2Paa879YPiLpMznn10r6AW21BdrAAkgpXS/pn0q6Lef8Bkl9Se8R5/9y99uS7tixrHjOZ88E75H0+tk6vz57XsTL12/rwvP/OUlvyDn/dUn/V9KHJc7/ItmLv3j+oKRv5Zy/nXPekPR7ku7cg/3AnOScT+ScvzT7/2ltPXBer63zfs/sx+6R9K692UN0LaV0g6R/KOnubYs5/wsipXRI0lsl/YYk5Zw3cs7PijawSAaS9qWUBpL2S3pMnP/LWs75TyU9vWOxO+d3Svq9nPN6zvk7kr6lredFvEyVzn/O+bM5583Zy89LumH2f87/gtiLgef1kh7e9vqR2TIsgJTSTZLeJOkLko7lnE9IW4NTSdfs3Z6hY/9R0j+TNN22jPO/OF4l6UlJvzX7uPXdKaUV0QYWQs75UUm/JukhSSckPZdz/qw4/4vInXOeDRfP+yT98ez/nP8FsRcDz1RYRrTuAkgpHZD0B5I+mHM+tdf7g/lIKb1T0smc8xf3el+wZwaS3izpoznnN0k6Iz5WuTBm3+O7U9LNkl4haSWl9NN7u1e4xPBsuEBSSv9cW1/D+vi5RYUf4/xfhvZi4PmIpOPbXt+grY/c4DKWUhpqa9D58ZzzH84WP5FSum72/nWSTu7V/qFTb5H0YymlB7X10fofSSn9F3H+F8kjkh7JOX9h9vqT2hqI0gYWw9+V9J2c85M557GkP5T0t8T5X0TunPNsuCBSSndJeqekn8ovzunI+V8QezHw/CtJt6SUbk4pjbT1ZeJ792A/MCcppaSt73Y9kHP+D9veulfSXbP/3yXp0/PeN3Qv5/zhnPMNOeebtHW9//ec80+L878wcs6PS3o4pXTrbNHtkr4m2sCieEjSD6WU9s/uB7dr67v+nP/F4875vZLek1JaSindLOkWSX+5B/uHDqWU7pD0K5J+LOe8uu0tzv+CSC/+smGOhab0D7T1na++pN/MOf/rue8E5ial9Lcl/Zmkr+jF7/j9qra+5/kJSTdq68Hk3TnnnUEEuIyklN4m6Zdzzu9MKV0pzv/CSCm9UVvhUiNJ35b0Xm398pM2sABSSv9S0k9o6+N1X5b0c5IOiPN/2Uop/a6kt0m6StITkv6FpD+SOeezj1++T1tt5IM55z8ubBYvE+b8f1jSkqSnZj/2+ZzzP579POd/AezJwBMAAAAAsDj24qO2AAAAAIAFwsATAAAAANApBp4AAAAAgE4x8AQAAAAAdIqBJwAAAACgUww8AQAAAACdYuAJAAAAAOgUA08AAAAAQKf+P/Odt27ebA45AAAAAElFTkSuQmCC\n", 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" ] @@ -506,11 +507,11 @@ } ], "source": [ - "string = L_strings_coord['80']\n", + "string = L_strings_coord['130']\n", "panels = string['panels']\n", "\n", "\n", - "epsilon = 0\n", + "epsilon = 10\n", "matrix_expand_bounds = [[-epsilon, -epsilon],[+epsilon, -epsilon], [+epsilon, +epsilon], [-epsilon, +epsilon]]\n", "Points = Utils.gps2pixel(string['points'], geot) + matrix_expand_bounds\n", "\n",