From 9b07413119548eef97d16ff443bcdf247c705251 Mon Sep 17 00:00:00 2001 From: obouchaara Date: Fri, 15 Dec 2023 11:46:17 +0000 Subject: [PATCH] update field validation and ploting --- notebooks/coord.ipynb | 8 +- notebooks/field.ipynb | 4 +- notebooks/field_2.ipynb | 209 +++++++++++++++++++++++++++--- src/mechpy/core/symbolic/coord.py | 12 +- src/mechpy/core/symbolic/field.py | 165 ++++++++++++++++++----- 5 files changed, 333 insertions(+), 65 deletions(-) diff --git a/notebooks/coord.ipynb b/notebooks/coord.ipynb index e236152..8f8c7d7 100644 --- a/notebooks/coord.ipynb +++ b/notebooks/coord.ipynb @@ -70,7 +70,7 @@ { "data": { "text/plain": [ - "SymbolicCartesianCoordSystem(origin=[0, 0, 0], basis_symbols=[x, y, z])" + "SymbolicCartesianCoordSystem(origin=(0, 0, 0), basis_symbols=(x, y, z))" ] }, "metadata": {}, @@ -79,7 +79,7 @@ { "data": { "text/plain": [ - "SymbolicCylindricalCoordSystem(origin=[0, 0, 0], basis_symbols=[r, theta, z])" + "SymbolicCylindricalCoordSystem(origin=(0, 0, 0), basis_symbols=(r, theta, z))" ] }, "metadata": {}, @@ -116,7 +116,7 @@ { "data": { "text/plain": [ - "SymbolicCylindricalCoordSystem(origin=[0, 0, 0], basis_symbols=[r, theta, z])" + "SymbolicCylindricalCoordSystem(origin=(0, 0, 0), basis_symbols=(r, theta, z))" ] }, "metadata": {}, @@ -125,7 +125,7 @@ { "data": { "text/plain": [ - "SymbolicCartesianCoordSystem(origin=[0, 0, 0], basis_symbols=[sqrt(x**2 + y**2), atan2(y, x), z])" + "SymbolicCartesianCoordSystem(origin=(0, 0, 0), basis_symbols=[sqrt(x**2 + y**2), atan2(y, x), z])" ] }, "metadata": {}, diff --git a/notebooks/field.ipynb b/notebooks/field.ipynb index be7f005..2d2bdee 100644 --- a/notebooks/field.ipynb +++ b/notebooks/field.ipynb @@ -61,7 +61,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "3b72a02030aa490d8c1c41ae0accac63", + "model_id": "77c42c06012648c0a58085bf4d4797d0", "version_major": 2, "version_minor": 0 }, @@ -133,7 +133,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "7e5027294bb344f39c1fb2544b4af28f", + "model_id": "f30dc3d5d92942efbf597e3fc3568254", "version_major": 2, "version_minor": 0 }, diff --git a/notebooks/field_2.ipynb b/notebooks/field_2.ipynb index de7e446..30d624c 100644 --- a/notebooks/field_2.ipynb +++ b/notebooks/field_2.ipynb @@ -27,8 +27,8 @@ "text/plain": [ "SymbolicScalarField(\n", "f(x, y, z),\n", - "[x, y, z]\n", - ")" + "(x, y, z),\n", + "[])" ] }, "metadata": {}, @@ -50,8 +50,8 @@ "text/plain": [ "SymbolicScalarField(\n", "f(r, theta, z),\n", - "[r, theta, z]\n", - ")" + "(r, theta, z),\n", + "[])" ] }, "metadata": {}, @@ -74,8 +74,8 @@ "text/plain": [ "SymbolicScalarField(\n", "f(r, theta, phi),\n", - "[r, theta, phi]\n", - ")" + "(r, theta, phi),\n", + "[])" ] }, "metadata": {}, @@ -98,8 +98,8 @@ "text/plain": [ "SymbolicScalarField(\n", "x - 2*y,\n", - "[x, y, z]\n", - ")" + "(x, y, z),\n", + "[])" ] }, "metadata": {}, @@ -108,7 +108,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "81598c81ec6249249cf1635827553758", + "model_id": "3b9bc791adca471b85626cfaa0c17260", "version_major": 2, "version_minor": 0 }, @@ -143,14 +143,183 @@ "cell_type": "code", "execution_count": 6, "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SymbolicCartesianCoordSystem(origin=(0, 0, 0), basis_symbols=(x1, x2, x3))" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "text/plain": [ + "SymbolicScalarField(\n", + "x1 - 2*x2,\n", + "(x1, x2, x3),\n", + "[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "b304c89c9efb43e697e95f720df0e06b", + "version_major": 2, + "version_minor": 0 + }, + "image/png": 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+ "text/html": [ + "\n", + "
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\n", + " " + ], + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "coord_system = SymbolicCartesianCoordSystem(sp.symbols(\"x1 x2 x3\"))\n", + "display(coord_system)\n", + "data = sp.Array([1, -2, 0])\n", + "linear_scalar_field = SymbolicScalarField.create_linear(data, coord_system)\n", + "display(linear_scalar_field)\n", + "linear_scalar_field.plot()" + ] + }, + { + "cell_type": "code", + "execution_count": 7, + "metadata": {}, + "outputs": [ + { + "data": { + "text/plain": [ + "SymbolicScalarField(\n", + "-2*m*y + n*x,\n", + "(x, y, z),\n", + "[n, m])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error occurred while plotting: Cannot plot field with unresolved parameters: n, m\n" + ] + }, + { + "data": { + "text/plain": [ + "SymbolicScalarField(\n", + "-2*m*y + 3*x,\n", + "(x, y, z),\n", + "[m])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "name": "stdout", + "output_type": "stream", + "text": [ + "Error occurred while plotting: Cannot plot field with unresolved parameters: m\n" + ] + }, + { + "data": { + "text/plain": [ + "SymbolicScalarField(\n", + "3*x,\n", + "(x, y, z),\n", + "[])" + ] + }, + "metadata": {}, + "output_type": "display_data" + }, + { + "data": { + "application/vnd.jupyter.widget-view+json": { + "model_id": "a8150f678d1c4a2fb21cb49feaab709a", + "version_major": 2, + "version_minor": 0 + }, + "image/png": 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NDYAWQI2mSxpn+/W60aNdBDAIAp5//nlmZma455572LFjR1/X102EEZT8AXRz6d3K3/Fjc1QqDq9+/Ss6nvPZIzPqnK/cDcBf/Om36+7fKCHsV1Yah1KXSqVYCM+dO4fv+3UjZ7LZbM+PFTUOXQu0EsLoeT/xxBO89rWv1RFCjeYGQAugRtMFrWb79fpm1yoCWCgUOHjwIAD79+9naGio72vspgkkkr9O9JPy3X3X1o7HNspfK/7iT7/NwWMXAHjZK3bxE//vBzuetxODGlEjhGBoaIihoSF27tyJlJJCoRAL4enTpwHqhDCTyXT8XrmaEcBORJG/WumLpLBSqdSljG3bjoVwUCsPNRrNxqAFUKPpQLvZfr3SGKGbmZnhyJEj7Nq1izvuuGPdEaC1BLBb8YP+5O+2+3axsrLS9rhuxC+iVv4A/uyzT9bdPwghHBRCCIaHhxkeHmZ6ehopZTyDcH5+nhdffBHDMOo6jNPpdNP30LUsgBG13/+1UcJIBqOVfYAWQo3mOkALoEbThk6z/XrFMAyCIMD3fZ577jlmZ2e599572b59+0Cut50Ari1/Eqg+p27lr7HWL5/Ptz12PfLXij/77JMcOKmOe/k9U/zU97+q43nhyuwCFkKQy+XI5XLs2bOHIAhYWVlhcXGR2dlZjh8/jm3bcXdxJITXUgq4He1mFXYrhNEwai2EGs21gRZAjaYFg0j5NiKEoFgscuzYMSzLYv/+/QPdSNFKANeSv9pD19vl2+616Vb+uhG/iFr5A/j0F5+qu79RCK/mGrhoJd3o6Ch79+7F9/14BuHMzEw8lDoqD6hUKld9KHU7ut1j3U4IgyCIhdAwjKYaQi2EGs2VRQugRtNAFPVbb8q3lmhszLFjx7jpppu49dZbBx7xqRXAjU75duryjcQPNlb+WhEJ4f956QIf+vnv73jOK4lpmoyPjzM+Pg6A53ksLS1x/PhxlpeX+eY3v0kmk6mbQXilh1K3o1sBbKSdEPq+j+/7lMtlLYQazVVAC6BGE9I4229Qb0Ce53HkyBHK5TJ79+7l9ttvX/c5WxEJYG/ydw4hRNcpX2gvf5F8DjrlG9GN/IESP4B7b5/iE3//NBJ46dQCJ8uH+Lnvfajj41xJLMti69atXLhwgdHRUSYnJ+Oh1C+++CKFQuGKD6VuR78C2EirPca1QtjYVFK7x1gLoUYzOLQAajRUZ/tFXbqDerNZWVnhwIEDpNNpRkZGyGQy6z5nO4QQfPXTTzI11XlzyOGnTyOl5J79t7V8nke+dTz+96UllbbbNpnjZY+sLa8bIX/dih/Uy19MTQr4E3//dPzvp89e4L/+7L/ueM4rQdQE0jiUulKpsLi4GEcJr8RQ6rWucSPqFNcSQs/z4vsbawi1EGo060MLoGZTE9X6LS0tMTw8PNCU75kzZ3jhhRe4+eabufnmm3nqqac2rB7tM7/zBVZXV+jm9IefVqNKXvbI7S2HQbeTP4DD33yh7thaITx9Nk82m73iKd+IlvLXgqfPXoj//f/8/56uu+9nX/dAx8fZCNp1ASeTSSYnJ5mcnATUppgoQnj06FE8zyOXyw10KHU7BhUB7EQ7IfQ8D9d164Swdo/xtd5Eo9Fca2gB1GxaauXvySef5PWvf/1A5M91XQ4fPszS0hIPPPBAXO8VdQEPmmrKV6C6ettTK38LCws4jkM6nSadTnPsO6fi4yLxg6r81TJ3UY18OfKdF5ldKuEHAXe+anvHvcUbmfKFteVPUJW/+25pPWz7aglhuw7bRqKvVbuh1EEQ1G0p6Wco9XqvcdBoIdRoNgYtgJpNSe06N9M0B/bmtrS0xIEDB8hmszzyyCMkEon4vo0QwNp6PyFoGwGMxA/grlffwvnz5wmCgKGhIfL5PIf++TmEUDVXyyWV6tu+Y6TluSL52z49zuxSCYAtWzOcfe4yS+ed+Lh7Htpb93m9pnyht3q/dkQvyf85dxHDMNrKXy1PzajzBt+sF8K3PbIxQtjPHMBOQ6lfeuklhBA9D6Vux5WKAHaikxACzM3NMTExQSqV0kKo0bRBC6BmU9FqnVskgOsZxiul5KWXXuLEiRPceuut3HTTTU3n6mZTR7e0bvRoHQGM5O/lr7mDYrHI2bNnyWQybNmyBSklRx8/wcjIKJ7nMbdUxg8ChkdsVldXsSwL21Z1V3MXVwElfkAsf9smcvEbb8Tc7Apf/eJBtu0c48JKUR23Y2Tj6/3acHK1xMhIoqP8ReIH8Mqbmo/9ow0SwkEMgm4cSh0EAfl8Ph5KffLkSUzT7DiUuh3XigA20iiE0WrFXC4X/2EnhGhaW3ctPheN5kqiBVCzaWg32682ktDPm7DjOBw6dIhCocCDDz7I6Ohoy+MGFQFs1+WrBLP+tlr5W1hYYGlpia1bt5LL5Xj2G88TBDJ+g1ws+Fi2zY7JXBhRcXFdj2KxyPJCBUMItu4a48JCEWEItk9UU8O1r9rcrIoQ1srf9u1Z8AOOPHMmPu6e++trBTeq3i+S7m7lr5X4NfLkrGp2CWqWlPz7B/uXwY3YBGIYxppDqV944QUSiUSdEKZSqTWv8XqQpujrnUgksG07nkHoum78h0qjEEZdxhrNZkILoGZTsNZsv9rIQa9vcAsLCxw8eJDR0VH279+/5sy2QUQAO414ic5fm/K9e9+tzMzM4Louu3btIpFI8Ow3jsX3NzZ6RNdq2wlsO8HcxWWSiQSjkzkurZQJ/IDciE0hn8eybWzLQgLLSw7l0grbdo4B1MtfA5curXLp74+wLUwzz+QLbJ/IDazeD6r1fvfePMnp05U1j+1H/h6Yrn/8jz5ZHx3sRQivxCq4tYZSnz9/nueff55UKlUnhLUlDL7vXxcCGP2RFXVHR/WBEbVC6DhOU4SwtstYo7mR0QKouaGpne3Xbp1brQD2ct6TJ09y6tQp7rjjDqanpzu+YawnAtjNbD/18LIu6lculzl79iypVIrp6WkMw6iRP8HcUgmEWLPRY/v0FkClfBO2zbZdOfzwNXVdl1KpxOqKCxJGtmUIgoDZvJLKdvIHKiU8ky8AMLF1GPyAw4fOAa3rBHtJ+dY2e3R6zQchf4185/J5vvO/z/Oqqepx/+He9ivrrsYu4HZDqRcXFzl9+jRHjhypG0odjWS51qmN8LeiGyGMSkNqm0quh+eu0fSCFkDNDUsQBHie13GdW68CWC6XOXToEOVymYcffphcrlmeWtFvBLDbwc5CCM6eWGZkZISXv+YOlpaWWFhYYHx8nNHR0bqoH8ClxbCGb035qzZ6gKr3AzAtC9OySAKXZlewTIuhUZuZlQIykIyOJrEtC9dxsGwbIUSd+AH18tfAV/7pefX44eO5GfV161X+OtGt/HUrfqDkD6iTP4D/drB+ZV2tEF4NAWwkGkq9detWQJU2REJ48uRJisUitm1z4sSJeAbh1RpKvRa9bvDpVgi/+tWvYhgG3//919Z2GY2mX669n16NZp3U/gKP3ljXejOI7o9EcS3m5uZ49tln2bp1K6985St7egPsJwLYy1aPY4cuAGq488WLFymXy0xNTZFKpepTvpH47RhpKaSt5G/bRAtJDGv9tu9U0aFzi6skk0m2bc2o6KDnUSqXCQoFVgs+pmGG8ieZyav0cCv5m72cV+cNH/NcIQ8FmBzPcuioErFX3N0sYrXz/Tai3m898teKn/7q53lwQh13buU8v2h0XsV3JUkkEmzfvp3t27cD8Nxzz1GpVHBdl2PHjlGpVJpmEF6podRrEXX290utEEY/H0EQ8MUvfpFcLqcFUHPDoAVQc0PR2OjR7baATnIWBAHHjx/nzJkz3HXXXezcubOvsR3dCmAv4helfO969S1cuHCBs2fPYts209PTmKbZUv62T402yV8kftC9/EX1fo0pXzuRwA7rx2ZnV7BMQW4sSaFQYN711JiZ8Qy+F75ZizbihxK/Rv4hfE4T4eN5afW1GGTUDzZO/p5cPFf3sUTyidPPkp5Nx7f9h7uurbV1Qgiy2Sy33HILQN0MwpmZGTzPa5pBeDVqBgdZq1i7w7hYLLJjR+fvGY3mekELoOaGoXa2X68bPdYSwFKpxMGDB/E8j3379jE83By16vYxGseltKIf+Xv5a+5gfn4e3/fjuW/tUr7bp0abzlMb9QO6lr+o0QNgJFffABOlfIUQTO4aVylf02LX1iyeq2oIy2UljislH9MwmJhU6eG15O/igjpvJH/ninkowo7RYQ6+oIStVapYCLFh9X4RneQvEr8o8hcjQVD//fpzT3xWHbt1J2+7ZX/H691oGpukoqHUU1NTSCkpFouxEJ49e5YgCOpmEA4PD1+RNHcQBBsSiSwUChu6ylGjudJoAdRc97Sa7dfrG000C7CR2dlZDh8+zMTEBHfddde63li6SQH3I38ve+R2ZmdnKRaLGIbRJH+R+EFn+VtL/KD9iBfPdSkWqzLYqd7PNE2SJEHChbkVDGEwnLNZWVlhPvwaTo4NI2WAEFXpaCl/KPmr5UvfUSvrJrdkecXeCUBF/oQQV6Ter+V528kfKgJY63/PrKiv7YNb1WaVPzr5rbrjr4YQrjUGRghBJpMhk8mwa9cupJTxDMLFxUVOnTqFEKKuw3hoaGhDhHCjupULhULff/xpNNciWgA11zXtZvv1SqOcBUHAsWPHOH/+PPfcc89AUj9rNYH0G/VzHIezZ89imiYTExPMzs62Tfm2Yu7CMgjRUv7mzs5XD0yo6F7bES81r3kvzR6z83klezvU9Z0r5LGDgLGMTblcxi/4mJbJckm9qU9OjCBEVfygWf4uLIXRwy3q2v7uyHHKlQp7tyfp9K1xNeQPqIsANspfKyIhPJI/xQPj0/zU9Hd1vIb10suYpChdnM1m2b17N0EQsLq6yuLiInNzc5w4cQLLsuoihL0MpV6L9dYAtkMLoOZGQwug5rolCAIcx+k76ldLrQAWCgUOHjwIwL59+waW9mkXAexX/vL5PJcuXWJkZITx8XFc1+Xs4VnGxpSkrSV/l2aWANg2vQUh6lO+deIHFMo+lH2GhhNcOjvPioBMLt004kXSesQLNMtfV/V+aZBBwMz8ClJKhtKC5eUlFmSAYRpMjWab3ugb5e9cSV3PeKL6q+6Zkxe4sLwaP14UEbxq8kc1AtiN/IESP4AHxqcB+PTZr9fdvxFCuJ51iYZhMDIywsjICDfddBNBEMQzCC9evNjzUOpO17kRAlgsFnUKWHNDoQVQc90RpXyjLt/1yh9U5ezChQscOXKEnTt3cscddww0ldQqAthvyndubo7V1VUmJibIZDI8+41jdV3M3cjf9t1buLBYjDOPbeUPGBpOsBIemEmYUHZ46bkZMrk023aOcflyAcd1mL5JpVvXjPr10Owxu1TANE2mdoyChLOFVcwAxlI2+bz6PMuyWCy7GIbJ5LZc/Hwi+duRG2Z5eTm+vVb+QM0XPFdRt01lO0d4upW/2kaPteQP4JRYZq7g8+qJ3WseB83y14pICE+WXuDe3B5+ePJ7Op63E4NcBReVKkR/rPi+z9LSEktLS5w/f57nnnuOoaEhxsbG4ihh7VDqtdiIFHC0Z1lHADU3EloANdcV3c726xUhBKdPn2Z1dZWXv/zlTExMrPucjdRGAPuN+nmex/nz55FSMj09jW3bccpXCFgpg7tYapvyrcrfVi4uhTt6W6R8a8UPqJO/YkFt1cjkVMfqqZOXkBIsG+bOL+KOqM9Zj/xFtX5QU+9XyiMMwa7x8LlJ9WY/s7RK4AcMJQUry8tYlsVl6WIYBlOjubqoa6P8ReIHVfn7Py+pSODMap5//fLb4/sHHfWLeGblNBLJA+Odywy6kb+Ik6UX4n//z4v/WHdfP0K4kbuATdNky5YtbNmiho53Gko9OjraduvORqWA8/k82WzzHykazfWKFkDNdUGvs/16IZ/Pk8/nSSaT7N+/n3Q63fmT+iCKAPYrf8VikdnZWYaHh9m6dStCiLp6v7klJWZrR/3UkN9I/qI0br/yly+rruahIRvHdVkyfFgtkU3YvPTCLJlsKq4F7FX+Ghs9oKHeT8ClfAnLspicyCKl5ExxhSBwGEtY+J7HyspKPKtxZnlVdSQ3yF9j1G9mtdpY8vRZJYNnHdX88gN33dH02jbSq/wB3GZ2Ti32I3/35va0vL9WCLuVwY0UwEa6GUqdzWbrhDCSvo26zmKxqCOAmhsKLYCaa57adW7Q/Wy/bs4bpZsSiQQ33XTThskfqAjgVz/9JDt3Nq85a0Vtynd+fp7l5WW2bdtGNpttO+IlO5pAVePVNGW0k7+JHLOnL9c1RrRK+cLa8pfJJFkUHr4QjCVsCoUKBbdCJqtquF586XJ8HPQx4oXmRg9orvc7X85jGga7xpRwSinxXJeZlTy+7zM2pAb8lkol5lAbHnbm6q+hVv4iIvnbOZyNhRDgfH61SQj7kb8Ht+7kpfxLa35PD1L+ajlfOcqX58t1tz26pfWg47W6gDeaxqHUlUol7jB+/vnncRwnHkpdKBS6Thd3S5QC1jWAmhsJLYCaa5ra2X7RSqZB4HkeR48e5fLly9x3332cPXu2rzVt3fKZ3/kC+fxqV48RiR/A3ftuZWZmBt/32bVrF4lEom2XbxAELC0t1Z2rVcp3IozAzZ5pjvpBc71fsVCh6Cr5zuTSdeIHqKifhLQhKESSGMrfaqX+2EXDg4JHzrJ56eQlbrple/y43cpfJH7Q3OyxY6QqdEIILpcq2JZFNqG6Uj3P47yTJ5AB45ZNPl/Ati0sy2K2WGp6vFr5q+V8Xj3eUzM1QugtM5XN9ix/QNvvi40UP4C7hm9uuu/L81+s+zgSwisZAexEMplkcnKSyclJpJSUy+VYCOfn5+O5hIMaSl0qlQiCQKeANTcUWgA11yRSShzHYXFxkVwuN7BaP4CVlRUOHDhAKpVi//79pFIpzp8/3/Oatm6JUr4qBbz2sbUp31KpxNmzZ0mn0+zYsQPDMLoa8SIlzF1Yij/uVv56SfnWyR8wbFusrpaxLHNt+QNMJ6DgVBgaTnFpdoVVx4mv5ea9KkrZSf4i8YPW8gfVer+JMdUEYpomF7wiiUSCqexw2Ejk4boe51dWQcD24SEqFYdZSvH3W638ReI3VfNY571lddxQFvx6KWysF2zV5RvJX+P399WQv0YW3AP81cUD3Jy+nQvZs7juMV7LWzt+3pVECFE3lPrIkSNYlkUmk2FxcZEzZ84gpVzXUOpCQTU1XS8p4HK5jFPzc3UtkEgk+u7s1mwMWgA11xzRbL+VlRWeeuopHn300YGlfM+ePcuxY8fYu3cvt9xyS3zefvb0dkNtvd9acwChXv6iaMaWLVsYGRnpaavHpQuq47Ux5TsxkasTP4BixQPEuuQvm7DJ56uRv0j8ao+tlT+AoeFQEsM3qeEh9fjH5qrXZzoSagSw3YiXRvGD+maPIAi4bLgUKqt19X6macZRv2QyybZsGs/1OOeuEMiAbXYSy7JxHBfLtrgQpq7byl8N54vq8eVsVQattHpdOo14gWtH/gBuTqtGmKj29qnlv6w77lUjP9LxXFcSKSXpdJpdu3YNbCh1oVDAMIwNLREZFOVymZtu2s7s7Grng68gk5OTnDp1SkvgNYQWQM01Re1sP8uy6kabrAfXdTl8+DBLS0s88MADjI+P192/EQLY3OwhUPV59TSmfC9cuIDjOOzcuZNkMtn1Vg8hBKuLDql0qmPUD6BQVlLWNOIF6uRvLfGL6v2GhpM4rtM26pezbArFSvh4reVv0VCfazoyPkc0V3DFVcfeEkptp6gfVGsMzzuhuK3R7BFxMSiSMBNMZYbxPBUdLJfLzK2UEYbB5PAQruthWSYzfpgebiN/UzXpwkv+AuRhKp2L5w1GqeLGCOC1KH/RdbaSpH+e/7+ZSt4Tf3zL8M90PP9G0tgF3O1Q6lohbBS9qP7vSqyyWy+O4zA7u8oLR3+NXPbakK2V1TK33/3rOI6jBfAaQgug5pqg1Wy/6Jd4uzeebllaWuLgwYNkMhkeeeSRlgXihmEMTDbbdfm2igDWRv0qlQpnz54lmUwyPT3ddco3Yu6CikZtnx7vkPIN6/mGk0hk31G/2nq/IJCUfIllDk7+oCp+AMPpJLNzqywa6rbbdmype/6NI16g2um7pWFkSKdmDwDbtrFtm/P5VZLJFFuHkniuR7FY4LKphHAqlcHz1LYSwRryh5K/+PFLK/zNSytMDavu5WW/yE1CXLPyB61/Dkved5qvK//xuo+vtBB2mgPYOJTa931WVlZYXFzkwoULHDt2jGQyWTenMJ/Pr0sAv/71r/PBD36Qp59+mgsXLvC5z32OH/qhH4rvl1Ly3ve+lz/+4z9maWmJRx55hD/8wz/ktttui49ZWFjg53/+5/niF7+IYRi8+c1v5r/8l//SNi2dy6bI5bRsadqjBVBz1Wm3zi0SwH4Hu0opeemllzhx4gS33norN910U9tf4IOKAK414kUI6moAa+VveXmZ+fl5xsfHGR0d7S3lWzPYeWFhUW31EKJlyjeWv6zawzsI+QPIuy7Itev9oFn81LFry99wOllzrLrNcCUnz1xmuObY4XSipfxNZjKsrq7Et3cjfxFRzd/OUXV7MpHgnLdMIkiw3U6pCGGlzLzvYpgGOzLDWJaFRCIQbeUPYCp6rPB74stzh9T1Jkd5cu48D25rnyruVv4GIX4RUlajlJH41Ub+2nF8+WcBGE/cz5b0Ozoev1563QRimmad7HmeF28pOXnyJD/4gz/IyMgI5XKZv/7rv+Z1r3tdPK+wWwqFAvfeey8/8zM/ww//8A833f+BD3yAP/iDP+BTn/oUe/fu5dd+7dd44xvfyNGjR+OI2U/8xE9w4cIF/vEf/xHXdfnpn/5p3va2t/GZz3ymp2vRaCK0AGquKlHUr9U6t0j6fN9vO/S1HY7j8Oyzz7K6usqDDz7I6OjomsebphmPmemXTvP9aiOAkfzds/82Ll68SLlcZseOHaTT6T7lT6VGlyuQSsFkB/lbFlUT7SR/kfgBGG5AwW2u98ukE1QcJxY/6FzvF4mfihA68eNBs/zVih8Qi1/tsUi4OL/Kkqmu7/bt6k3a96ti3yh/ncSvVb3frpqUbzKZ5FxhlYQp2JpM4jgOxVKR1URZratLZrGt6vduk/wBS1ymkqxwU3KC2vE9Xzx3hKmhqjg+MD59xaN+ETL8XyFET/IX+Gpn8XjifgDmSx+pu38jhHC9m0Asy4qHUt96660899xzfPCDH+Szn/0s73//+/mRH/kRXv7yl/Oxj32MBx54oKtzvulNb+JNb3pTy/uklHzoQx/iPe95Dz/4gz8IwKc//WkmJib4/Oc/z4/+6I/y3HPP8aUvfYknn3ySV73qVQB8+MMf5nu/93v53d/9Xaa6GE6u0TRybfT0azYdUdTPcZy269yi23qNzC0sLPDNb34TwzB45JFHOspf9Fj9RgA/8ztf6HK4s+D8i8scfvo0L3/NHdzx0F7OnTuH7/tMT083yd+lxRKXwq0eneTv4lKRi0tFcjmL7duzTSnfVvI3nDSb5C9fdsmXXSViflAX9TPcIDxHql7+QhlbDYN6OcvuWv5MR1IoOmQyyXXJ33BKnTeSP8OFE+fnubiQZ3Ypz0ypwsxqnh2jw+uSv1b1fkLArpERUqkU2WwWJyuxbZsJa4hKpcLyyjKrq6ucXp3HDwJ2ZKqRx6VAzUgcDZJ1571YWaKRbyw8xYXSCp7f+df2IOUPqnWKleApoD/5a8V86SPMlz5CIf9Wgsp/7XjObhj0JpBt27Zx//33c/vtt3Po0CEuXLjAr/7qr7J7d+e1fd1w6tQpLl68yKOPPhrfNjIywsMPP8zjjz8OwOOPP87o6GgsfwCPPvoohmHwxBNPDOQ6rhV++7d/mwcffJBsNsv27dv5oR/6IY4dq/5efOmll+JZsI3/ffazn42PO3PmDN/3fd/H0NAQ27dv593vfve6/8i/0dARQM0VJ5rtFwnXWoOde6nNk1Ly4osv8uKLL3L77beze/furmt2+hXAXrZ6PH/wPFKqlO/q6ipzc3OMjo7GDSnd1vu1G+w8MZFjYXGRS2cX4uddl/KFqvwlLAr5skrbjjRH/QorJYppAyoeSQlLeSVao+F6t0b5WzJ98Adb76eObS1/jeKnrqGC4/mkpFmXNl71w67kAC4sqAigN6y+1uuVP2iu9xPAdGY0vk0GknOlJQhgBMHy8jKWaVFO5TEMg4nECKvlFUDE4lcb+QMoMQvAtoQ679OLZ5lz1LE70rm6iOCg5Q/Uz1Zq+AUEowOTv4iUX60jbJRAI/lYx89veuweU8DdULsHePv27bzlLW8Z2LkvXrwI0LR+cmJiIr7v4sWL8RDsCMuyGB8fj4+5Ufja177GO97xDh588EE8z+NXf/VXecMb3sDRo0fJZDJMT09z4cKFus/5oz/6Iz74wQ/GUVbf9/m+7/s+Jicn+da3vsWFCxf4qZ/6KWzb5rd+67euxtO6JtECqLli1K5za5XybYVpml2JWaVS4dChQ5RKJR5++GFyuVzHz6mlHwHsdaWbEDB111YuXbpEoVBgcnKSoaGhdaV8G0e8lMtlkskEIDrLHzDUIuUbyx+QlOB66nWxEyaFlRKV8FpsUx2zaHggw2hesDH1ftCf/K146mpTNUKwZJVx8urYC141JTwI+YPW9X7TudH4tiAIWPDnCAJJ1jNYrayChHPFeQzDYFdmpO6xGuUPqJM/gIPhfEEfta/4u7e8kk50K38A5XWkfdcikr+0/WDrc/UhhOtNAbdCbwG5cnzpS1+q+/iTn/wk27dv5+mnn+a7vuu7ME2TycnJumM+97nP8Za3vCWW9H/4h3/g6NGjfPnLX2ZiYoL77ruPX//1X+c//sf/yPve976Bb4q5XtECqLkitGv06IRpmh0jgJcvX+bQoUNs2bKF+++/P9792gu9CGC/u3xLpRLnz5/HcRymp6exLKunLt9ut3pA63q/4YR6XSL5qx3xAkrG5twKpI1Y/FyU+AF14ue6HitDgoJbJhUIHM8nCCS5UfUmudH1fo0p37XkbzhhUwmvZ8kqtzz22Lx6/bKJBBeWVtkxmm0pf63ED9aWv6mGKOMKC1imyeTQFkD9XJwvLWAEBrlAsLyyjG1ZWJaNZ6to7lryFxHJ35i1hYPL6vtu0ZtnIjnaFA3sRf5K3neQQLq0Ezr8zA5S/voh+iNzIyKAGyWAkczMzs6yY8eO+PbZ2Vnuu++++JhLly7VfZ7neSwsLDTJ0LXMyspK3cfJZJJkMtnmaMXysvo5bBzdFfH0009z4MABPvKRan3p448/zstf/vK6qOob3/hG3v72t3PkyBHuv7/z9+dmQAugZsOpXefW60aPtVLAQRBw4sQJTp8+zV133cXOnTv7HtPQrQD2K3+FQoHZWRXJmZqa6mnESyR+0Fn+Kh54+AyH3bmton4AmdwQ+Up91G8ubO5ojPpBs/yVhk1M04jlD8CyBMXVEuXwMcdGh4CGej/HicUPBlfvl6IqdLH4hW8sUgbkkx4rFEi5JlvTQ9Vz+urYbE1EYNkqMbecJyUthlMJZlZWmcplu476QZtmj7DebzI5WnOkYM4vAIKbRrYCEs/zKXERJwgYLiUxDIOSX8KyLBZlHoGok79a8atl0at+XzyXfzH+tylO89DIw3RDyfsOU8l7lKSK86z107XR8tdN9E9KiZRyQ1PAg2bv3r1MTk7yla98JRa+lZUVnnjiCd7+9rcDsG/fPpaWlnj66afjxpN/+qd/IggCHn649ddyKQC/v7LmgbMaXsf0dP14o/e+9728733va/t5QRDwzne+k0ceeYSXvexlLY/52Mc+xl133cX+/fvj2y5evNgypR7dp1FoAdRsGNFsP8/zuk75NtIuBVwqlTh48CCe5/HqV7963Ts6uxHAfuTvZY/czuXLl1lZWWHrVpX+PfKtF6jt9lxPyreWeLBzRslMK/nL5JT8NMpfu5QvVOWPIMANgpbyZ9sqUhvJn/AlS/MFnBF1XsMBM2H2JX/tUr7qWOrO0Sh/AEtWBc+TDGHVRwjbyJ/j+7H8RTy/qOQta1c/f/3yV2322GJGjyVwrXksbHYkRpFS4nkenucxW1lASslWM025VMKybISt/qiolb9I/CYaHssU6nsya26LhXDVn2spg42dvmvN4rwWxC+iNsMwSPL5fNsIVLeff+LEifjjU6dOceDAAcbHx9m9ezfvfOc7+Y3f+A1uu+22eAzM1NRUPCvwrrvu4l/9q3/Fz/3cz/HRj34U13V57LHH+NEf/dHrqgP47NmzdeU5naJ/73jHOzh8+DDf+MY3Wt5fKpX4zGc+w6/92q8N9Do3C1oANRtCvynfRlqlgC9dusSzzz7LxMQEd91110D+2l9LAPuN+nmex/nz55FSMj09jWmaPPPVI4yNjSFEfylfWFv+kin1WnQjf8mEwfJCnvKwhZCQlBLXV5/XSv4AnBEbEzCcAAdIhMeVhSRAkDINXMcPj63KX3ydhQoloc41nqtG4gZZ71cvf2UcLyDhC4aH+5O/+NhQ/maWV1kyVVpqq12fFuxW/mqbPXzfIx/umm2s9xNCsCQLYMJNw9sIggDP9fA8Fyc4gyxLsmKEil/GsmxWpDrvWvIXserPAfBiOFomYocdXltNvZ/qAm7++b2W5A+If4YHHQEslUrrigA+9dRTvO51r4s/fte73gXAW9/6Vj75yU/yS7/0SxQKBd72trextLTEa17zGr70pS/Vbc34sz/7Mx577DFe//rXx4Og/+AP/qD/J3UVyOVyXddnP/bYY/zt3/4tX//619m1a1fLY/7H//gfFItFfuqnfqru9snJSb7znfoh5VEG5npKmW80WgA1A2et2X69UitmQRBw7Ngxzp07xz333DPQv3zbCWC/8lcsFpmdnSWTybBt2zaEEDz7jefjYwdV7xeJH6h6v3nfpWxAtqneryblO5RgZbHAvGUisjZJP8D1AhwkpqW+XuVwkPFaKd9a+QMV9XOlTykjMC1BOjCohNHE6NhI/gxfsrRYwMmp7w0ZoIRujZQv9CN/6ljbqs49bCV/cyIPPh3lT11DvfzNrK6yGkTHJepSxJ3kL0LQXbOHYRgkkgnM5ByQZESM4oYRQhX5E2wxh3FEBcuy1UadNeRva2KMWlLiJIsepI3JWAxvTt/eMgJ4rckf0FeZSTfk83mGhoY6H9iG7/7u715zD7gQgve///28//3vb3vM+Pj4phj6LKXk53/+5/nc5z7HV7/6Vfbu3dv22I997GP8wA/8ANu2bau7fd++ffzmb/4mly5dirun//Ef/5FcLsfdd9+9odd/PaEFUDMwatNV7Wb79UoUASwWixw4cACA/fv3D7wgu5UA9it/CwsLLC0tsXXrVnK5XE2tn3otLi2WEEL0nPKFNivd6rp8BRnbaBv1G0rbcdTPEIJkAG4AhiGwExZSSiqorQ+GCKhUfCpZE8PoLH8SFfVTEUKoEMTHQb38AbH8RWlcYRNvGPET6r5O9X7QLH9LVrnu2KGUjVNx1hX1i2gV+auVP1BCCFAyl0iYJrcNV8d3tJI/KSFILgGpnps9AJKmSdHMkyTFVnMY1/PUQOpiieGhWQLDZNjcSmAEGMJYU/5AyV9EKbjIkcJFhslRSpWYqawwlbznmpQ/2JgOYNjYGkBNPe94xzv4zGc+w9/8zd+QzWbjmr2RkZG6Hc0nTpzg61//Ov/rf/2vpnO84Q1v4O677+Ynf/In+cAHPsDFixd5z3vewzve8Y6OaefNhBZAzUAIggDP89ad8m3EMAyWlpY4fvw4U1NT3HnnnRvyC75WAPsRP4C7993KzMwMruuyc+dOkslkU6NHqSxIpQZX79c44iVlSooFByFEk/ylkiYriwUqw7aSPylx/fp6P0cIBCCCABlAJWthmALh+JSlagK1bRMpoWJU5Q+U/BlUU769yF/CjiKE4fdP2K9S8CWFlE/CNLus92vu8g1kQFH4WFh9y1/JLlAJPJKBTTZZPbZR/gB8exUn8LECm4yVZKaghLAgSypC2DDjr2JcgqD3Tt+Ixpo/07KAFIZ4CRnYJPwRKpUyxaKPlyhgGAZb7bG6qF47+Ysex3XdOAO84nweAEvsZKZ8mKlU6+J8uLLyBxszAxCgWCxqAbxC/OEf/iGgoqa1fOITn+Df/Jt/E3/88Y9/nF27dvGGN7yh6RymafK3f/u3vP3tb2ffvn1kMhne+ta3rhlh3YxoAdSsi9rZftEbyqDSL77vs7q6SqlU4t57723q6hokkQD2G/Url8ucPXuWVCrF9PR02y7f7FiCkZHmGphBjXhZXqpgmkaT/CVswWXPRWRtBALD9YkGwNgJs1rrB9V6v9FqvR9CYCdMpJRh1E9iSfB9FXV0RgyQskn+GsXPTlgUUqHktZO/sOTTtk0KKR9fBnhFSFjVN/Zu5Q9g1VcXdSXkr2QuQQBjVr0sFKT6+iNFLISBdZktySG2mCOU3FJ8bCv569Tp27rmT5CzJ8GGVT+PISXbxDie51EsFZGBxLRMxtIzBIZBxlQjSErBxabHUl9lwbA4Dij5A/Dkec6UzjNsqihnbUTwSssfbGwEUM8BvDKslSqv5bd+67fWHOq8Z8+eltFBTRUtgJq+aWz0GKT85fN5Dh48iOu6TE1Nbaj8gRLAb/3FQW6++Zaujq+Vv6WlJRYWFhgfH4/XzrUb8bK4uEC0WRV6G/HSzWBngKFsqqHeL8+CZWEYIuzyDTt3ExYguxrxEgldxQADgfAlgYTKsEAYgqQrcQOJFJCwlQyWwghho/x5gSThi1j8YG35s32jTv4ul4r4QYCFQSGokEkn28pfJHTpmqhQL/K3ZC5D0Nzs0Vb+aC9/Wat63sBStYGuZ3IhyOP7HnOFIlk72VfUL2Kter9tSdXFmkgkQEKS4wRBgHDH8DyXZZYhuYJpGIzZW6lv+5CMp84AiTr5A2L5A1hwnlHXKs5QAsaTP0C3rFf+YGMigFJKCoXCuicNaDTXGloANX2xntl+nTh//jxHjx5l9+7dBEHQ9V+E/fKZ3/kCrut09Ti1Kd979t/GxYsXKZfLTE1NkUqlutjqIYgeZhAp38Yu30qlQqHiIwxBOmWxvJCnMmxhCEOlfOMRL+pHvxf5q633A3Br6v18wDJBGAI/CKgYIAKBESjddUcEDj6GCwma5c/3JTYiFj8HH8MDg3r5Kws/lr/oHJdkAd9Rolj7Gy0SumE7gRM2lETNHluT9QX93TR7QGvxg9by10r8oCp/ObMqFK7hYGIipWAmmjc4lB2Y/DXV+xknAYNhawoSgISCP0MQGKS8DKuVVYQQ2JbFeOosKUPiOduwkur5tZK/iDFxBgAhpll0nkHKs6QNFV1sFw0chPzB4PcAR+gaQM2NiBZATU8MYrZfOzzP4+jRo8zNzXHfffexbds2jh8/TqVS6fzJfRKlfIUwQjFrPe4C6qN+lUqFs2fPYtt2POKlm8HO0UvVb8oX1h7xUvakivQlTVaXilTClG9L+RNSPd1wvl+7ES/QLH+NI14StoHn+ZiGQUkEGIDw1feLkxMQSMKNcU0p30b5AzDC5uZI/srhsSIglr9CylMRQs8gZdnxb7PLZRUhHLJshtMJgkBSSLms4g602SOiV/lLGCYpURVQB/U1HLaqIz/yXplLlYskTROLYS54K+xI5QYjf63q/eRFDMNgS0J9vpQSz/cYFifwvQC3Mgb4lMolDOsyhmGQterlr1b8IqQ8W/9auU/WfZy2HxyY/MHGpYCvxxrA5SCNH6Q7H3gFyAeD7crWDAYtgJqukVJSLBZ54YUX4maMQcnf6uoqBw4cIJlM8sgjj8Tzr9baBLJeauv9oufRbuBtrfytrKxw+fJlxsbGGBtTb67dr3QTXL64gmEYPY94ab/SrTriBSCREMx7LkbWJhWmfNVKtxrxAxKmgeOox3BGbCCs90PJn1PxcC31WljqRQqPbZC/hAlSUjHBFQFG2ExtJ1XK1wBEuPvXNAS+7+OYgAQjAFuIppQvtJY/oF7+/PYRQoB8yaGUdvD8gIRvMpzdmGaPbKJ6jlbyt+pVyKRWm+SvLIuAJCWqv4rzXpnR5FIsfxFnyzMADJkpLpSX2ZFSO4PXLX8tav6EEIzZLwEWlr2TsiirRhBjFs8LMJ0seWsVK1xZt82aCT+vWf6i6F8jZfMhygFQ+ggp/ztkhj/V8rhe2IgUcBAEugZQc0OiBVDTFUEQ4DgOjuNw5swZ7rzzzoHIn5SSs2fPcuzYMfbu3cstt9xSd952m0DWQ6tGj3oBrL+vdqvH7OwsxWKRHTt2kE6nu0j51tw3s0S5UmFq73Ysy153vV+rES8riw6LiJp6vxZRP6ry1yrli5R18icCiQ9UsqrGM1EK8AFMo77ZQ1YlrbHeD1FN+5bwVYzVl2rcjCnJJ118iaoN7JDy7Ub+ottLaQdPBlieevx8SVlrARfTEGypWQs3yGaPxnq/jFWf8oVI/mDISOL76uvdTv488upYsxolPFmYZSq9BIBBlmz4UqxX/oCmZg8QmIl5bNtm2NyOTAW4novneWT9U5R9iR9MYVkVLMvCNGbCx2ovf/F1+d8hbT9IUPmvdcesZw7gICkWi0gpdQ2g5oZDC6BmTaKUb9Tla9sqUjSIX7Su63LkyBEWFxd55StfyZYtW5qOabUJZD206/KtFcCI2qif4zicPXsW0zSZnp7Gsqweon7VlO/I9mGkHEy9H1TlL52yWFksUM5YCLE++QPq5A/AyZkIwHSVDBpCEHg+rpQ4FhimqvfDUCNeuqr3iyQR8KXE9sAQ4PkeAoFjSoJArkv+1HkNzBqpL4T9z0nDIl9RQuikiuDB9mS90A2q2aOd/A1bqVj+LPMioyZkzJG6Y1vJX9EvszV5GZUQV+eedZYIUPWDN6XrxavTmJdaWnX6Ynik/FGGTBUFE4ZBIpFkIjkLJAmCKVzPQ3AO1wnwvTEsy6YSC2HN1yqUv05dwv0I4UbUABaL4dfqOksBazSd0AKoaUur2X6R9HmeF8tgPywvL3PgwAEymQz79+9vO5xzkCngtUa8RFG/SABr5S+fz3Pp0iVGRkYYHx8Pt3r0Ln/bd2/l9OwiBa/MjikVnellxMtaK92iej+kJOmrjlxolj/8AMdvXe/nVNRjt5I/UPIXvkgEUmKaBk74G0Q6AVKCOyzAk9hSnaNTsweoer9EjeSpUTM+fiAxJRgW5JNqDp3pibrGkEj8kDBkVb8f86kKSMhgI031R0zZ8PADiSUFCbv6q89JhZE4mSBfVkJYNlySljXwZo9a8aslnZoHjDr5W0v8RhMWBtUIXyR+aUPVfM1WligF6rp2J+fBTMfy1y7qB23kD0jJMaSQdcfW1vyZJhjGDJAgZUzGfzQ6jkOpVMQwDCzLpiQeJJXyyfC0ut4eRsR0w0akgAuFApZl6QHCmhsOLYCaJjrN9ltPVE5KyenTp3nhhRe49dZb2bt375qp5EGkgLub7aeeo5SyLuU7NzfH6uoqExMTZDKZnlO+0Nzlu2WbkoduU77QeaVbVO9XcQJcAYmkkqF2UT+o7t1tVe/nryF/AH7SwKfaFGKYBqUhiQAMT+IjEQE4UuJGEUJfjZDp2OwhwAgERjh7sJBy8aXEcsAwVLQ2CAIqZlCNELaI+tVGCB0rQAZiTfmLKBsugZQQwGqlusjYGlLHDlL+8l6ZkeQiNgbJLuUvYVSjftAsfwCloMSkPUvCsJBylIIHBRYRYgmAncnm3art5G/Y3E65Zk4hNDd8NNb7WaaFZVrhfaqhZK5wJ6XSIuOpIwSWiSXvh3SJVDKFMNYuJ+k2HbwREcBoDdxGNJdoNFcTLYCaOmrXuUHr2X79CqDjODz77LOsrq7y4IMPxg0Ua7HeCGAvg51nTq2Snz/Hff/ibjzP4/z580gpmZ6exrbtllE/6E3+RkeTXD63WPcm1W+9X91Kt9qUbxhJWzPlG24AaV/vpxp8EmHKNzoWlPxBVf5M06CUQTV1eBIZoDaCWAI3jhCq85imaDvfr129XyAlCV/VG0oJUgaUDZ/Al5hSYFpq20dlyGspf2XDJwjApip/frqMLwNMzyRZ87UoCgckpM2G6HYqjxdASiZZDZtHjIR6Dbtv9miWv9HkErYwEF4KwssYtPxFRPKXFBkuO4sAVGSB3YkF0ka6pt6vecyLioyr75FO8teIEAI/+QjjSZX2DeQI0rmHcrnM5cuX8X2fVCpFKpUinU6TSCTr6nB7qQUMgkDNORwg+Xxep381NyRaADUxUdQviri1+4u3HwFcXFzk4MGD5HI59u/f3/Uv6fVEAHvd6iGE4K5X30KxWGR2dpbh4WG2bt26rpRvY6PH2RMzmGb1x64f+Wu50i2UP8s21E7ebuQv6KHeL/waNMqfkwujiZ5q6BBSaUKt/IVNvJimoJwJ8AOwXCVtrlTC2m2zhxBqBZ0MwBYmtm0QBJJSysUPJLYnsEwRR64LqCh2UhhYVhfyR4P8pZSMpWR9hK8sKuDCkGmz6lTIJpJ9yV/SNBFeiiDsnrkS8hdRkQV2WLOAzaqfAlREOmuGY2kaZvwJoeSvl05faK75yyQehoSqqZMSPM+lVCpRLpdZXlbjd9LpNKlUikTmnaTbdOa3YqNqAHUHsOZGRAugpufZfr0IoJSSF198kRdffJHbb7+d3bt399Q93I9s9iJ+UK33m37ZBEtLSxQKBbZt20Y2m+0r5QtrzfdTz72XES/QfqVb43w/3/dxjPBRGuv9XImDJGGvr96vlfzF5xAilr9AghlUxc9FIlwwQ0mMUtEF6RIE6tgoCtZLs4eTcZESEp5JwjIIpCTwfUpmgABShhnXdjqpoqoXlIn4saAP+UPJX4RrXCKVAOGncH2IRg12kj+LYVQbzJWTv4osALA7sQDYeLIaibfEIqUAbDHMUjhzcNTawjb7QpgN2Bsf24/8Ndb8qd3SNrZtk8vlkBIcp0KpVOLUuTextPQEiUSC8fFxxsbGGB8fX/OPx43oAi4UCgwNDQ102L1Gcy2gBXCT07jOrZvZft1KWaVS4dChQ5RKJR566CFGRkY6fk4j0Y7ebul3l6/v+7z00kuUSiV27dpFIpEYSL1fqxEvRcfHEEZvKd+hBKstVro1zvcLDEHCEHhe0DLqF8lftd5P9lzvF6d8qZU/NeTZTwp8oaJ+JlX5AxCuOqURnsOxwtvjYw3KGZ8iHlZFgIREqr7Zw5JG22aP6LeZa6oGElsa2KZBIAMkkkqyoNK70kYKiUDE9X6mrBfNVvLn+D6B5WEZBglRPTaVUlErS1bFbb5UxLBcTMPArvk126rTVwKBUcLE7Ev+6po96EX+aJI/UPIH4Er1GmTkJTwRUAnGsPw5sua2rmb8xa9PDzuBhYBkMkk6938zPqGEbnl5mYWFBc6ePcvRo0fJZDKxEI6OjsaRXdiYJhCdAtbcqGgB3MREs/163ehhmmZcI9iOy5cvc+jQIcbHx7n//vvrfkn3Qi8RwH7lr1QqMTs7ixCCrVu3NslfPylfaD3ipexKhCF6H/HSaaVbeB7bANf1KWetlinf+no/Nc8vEr+e6v1orvdzTBXZa0r5olK+oiby51hBHCGMzlvO+ARIDEcgANswcBwf1woIkJiBIJFcu9mjZaevBDdVAiFI+5Zq8JABrq2aSExp1HUrt5K/sqiAVR/1g9by54kyhgUpo2aWoFMhl5rHl5CzqtLlkScwAlIksMNzd9vpC43yRyx/7VK+0F7+IvGDqvzdZKnv55I3QhRYq/jPA2CIHKv+JbINqeJ+5S+itubPNE3Gx8cZH1d7jF3XZXFxkYWFBY4fP065XCaXy8XRQc/zNmQO4PWYAl4KMrj+tbEJpBDoBpprES2Amxjf9/ta57aWlAVBwMmTJ3nppZe488472bVr17pSJ1ENYLsNHdB/yvflr7mDxcVFFhcX2bJlCysrK0AvWz36W+mWHrK7H/HS7Uo3AD/ACyTlbDf1fur22qhfL/V+6hwN9X41g6BbyZ+6vV7+ojRwrfyZVOtPa+XPNAwc18fJeASBJOmbHeXPT5fxggDDNUjbNhhKWAths0fKsJBSjTsSQmBmioBolj+6lz+olz8Xjy2pZUxhEPgpVp0KTuBjWxVMYZA1knGKuteUL6xP/hqjftAsfw5bAIeUuYSBwBC56nXJFUpB9XeBsH+w+vqEA567pZtmD9u22b59O9u3K+kslUqxEJ4/fx7XdTlz5gyO4zA2NkYmk1l36lZHADU3KloANzFCiL7WuVmW1VIAy+UyBw8exHVdXv3qVw9kcn4kAu1SO+tJ+V64cAHHcdi5cyfJZJLD33yBS6mluMZoUCnf2kYPx3FYNQQGnUe8OK7LvN95pRsAoeg5o7aKyK1Z79csf0CP9X7q/tp6P8MHw4TKsGxb77ce+QNwMh4+AaYj1NBpV30fViwfIxB16eFqs4eBVROAKAoHAaTjY4046md7tuqEx8MQAsdSr12t/DnSJ5fOYwoDEVRFrxv5A+rkzxI2Bd8FCYF0mEwtkDDsgTd7wHrkD9LmEmA0yV8ti3I3OM/EXcJlMU238ad+9wGn02nS6TRTU1NIKfnWt75FNptlYWGBkydPYllWvLJxfHw8XjHZC3oNnOZGRQvgJqbViJduaBUBvHTpEs8++yzbt2/nrrvu6jvl2+qxoHV3X7/yV6lUuHDhAslkkunpaQzD4NlvHIvnAPYS9YPetnoUQhPpvNItTynTYsRLh60eSS/AVaG8Da33A/BTIjxW1fAJAeWMmgXYrt6vVv7KmbDu1AVkZ/krD6uOXtMV2DWbJSqWOo8lBY6rXu9guIIhBUMyQWBKgjBK1bHZw4xeDknFUPWFCQx8z0cIQTqzSpIw6he+dI7vt6z360b+InzhsyO1iCkMCm4ScHACj4xdIWFYA5G/ter9oL38JZjHAww5HH4NlfgljOrjLMrdQPOImIWK+hmNagVbRQT7lb9Gop/fHTt2MDIyQhAELC8vs7i4yMzMDMeOHSOdTscyODo62tUw+0KhoCOAmhsSnZjfxPSbGqmtAQyCgOeff56DBw9y11138fKXv3xg8gdVIagVzs/8zhf6lr/l5WXOnz/PyMgIO3bsiOUPlMDMryoJ6zble3GpyMREroeVboIhW3Sx0s0O6/16W+nmRi9Tq3q/QOLkTJycScKVLeUPqvIHUBySSCnjej8RqKifnwrPW1PvVxmGQHRo9gjq6/1wVHo4kj/XCqhYPiKABKZK+2Y8ysMuhgO2a8TyFx1rBoJEza+yYLiClGC5Jo7n43pdyl+I4/tUDAfLMBmyEliWhTAN0pkVkBLhWnH5RMX3EeuVP3wm0wuYwsANhsJjPVLhOBYvMFj1Kqx6lb7GvHSSP1fmcWWetJFuKX8AMryuXuSvVaNIyX2y7r9ByV9EbabAMAzGxsa4+eabedWrXsVrX/tabr31VoQQvPjii/zzP/8zTz75JCdPnmRhYaFtWYuOAF55vv71r/P93//9TE1NIYTg85//fN39+Xyexx57jF27dpFOp7n77rv56Ec/WndMuVzmHe94B1u2bGF4eJg3v/nNzM7OXsFnce2jBVDTM1EEsFgs8sQTTzA/P8/+/fuZmpoa+GNFaeqoLq1X8Yvk7579t3Hx4kUWFxfZsWMHY2NjPPuNY3X1fkuFAKRsm/K9NLPE9t1bO9b7Fcpe00q3ZSEZTlikLUGpGKZ511jpJkTnej/H8dSIl6bhzur/O9X7mYZoK3+VrKCSFRiuxHAl0pfxsRUjjAQ2NHsEolrvVyt/gQzlzzSamj0i8Yvkr1XKNxASw1FbRMyWEcLqHzJ+Rslf0q/KmGerwdHCB1Ma1b3HbZo9AstjyLTrOn2H0isIBDZpLFM14/hmBcN0sAMDIxBxt3EuNc+W1DIiGOoof550lfwhcIMhnMCLI3+mITCoppMDHCZt9Qa24qZY9ZQgtur0jQY820bzmBdo7vRNG2kmjHkctjTJX5T2lUId26/8NVI2H2K+9BEK+bc27f3tl7XGwFiWxdatW7n99tt5+OGHeeSRR9i1axeVSoWjR4/yz//8zzzzzDOcPn2alZWVuC6zUCgMpJwF4H3ve1+ceYn+u/POO+P7tbQoCoUC9957Lx/5yEda3v+ud72LL33pS/zpn/4pzz33HO985zt57LHH+MIXqu8Pv/ALv8AXv/hFPvvZz/K1r32NmZkZfviHf/hKPYXrAp0C1vSMaZrk83m+9a1vMTU1xR133DHw0QuNj+f7ft9RP8dxOHfuHKZpMj09jWmarbd6CBjb1vyXfr/1ftDc5RuEkta80i3PvGV1rPeLon4AzogSidp6v0rZwbMNonmDa9X7+X7rer9KVsTnVceq/zOEwE2EH7oSicTJCQwjrPcLm0IQ62/2gB7lL+PgIzEa0sNRDZ8pRZ0YBMlVFXn0bBx8EpbZfbOHAN+oIBCkzARSqiipDCQjQwvKk/00CNW4JI0itgFJoyqanlRf+53pJcruEJ4gngeYsStN4gfVZo+yP4wrw7pOeVk135DEpYxtKLntZcyLivoVY/GDZvkTRhEwBip/UO0SBpoksNfoYNQs1u3vomQyyY4dO9ixYwdSSorFYtxQ8tJLL/HEE0/wzW9+k5mZGW6++eY1G9F64Z577uHLX/5y/HFtxuQXfuEX+Lu/+zs++9nPMjIywmOPPcYP//AP881vfnPdj3s98aY3vYk3velNbe//1re+xVvf+la++7u/G4C3ve1t/Pf//t/5zne+ww/8wA+wvLzMxz72MT7zmc/wL//lvwTgE5/4BHfddRff/va3efWrX30lnsY1jxbATUw/v8x832dubo7l5WXuvfdeJicnN+DK6jEMg//xe/+bVKq7kvJa+VtdXWVubo7R0dF4lES7Lt9CId90rl5GvHSz1SOdVR2fjSvdKq1WunWR8m2c76fkr796P2gvf35S1ftJwPTVHU4UFKlAQDgI2hADk7+o2aNVvV8iaueFjvJnS0Olm4FkpoSPRDomVo0QliiDBLtmOnS3zR5CCDzhhylfE99LqrmDgUfCcjARmNixQHjSZTJVm/L18WRA2mod9YNm+Rsyi+q6qEqlpIITwJ7EAm4AQmyL71tb/lhT/uK0b7jdJBI/GIz8tesU7lUIoyxBP3+MCiHIZDJkMhl27dpFEATkcjmWlpZ46qmn+N3f/V3+8i//kte//vV87/d+77oiSZZltfy9qaWle/bv388XvvAFfuZnfoapqSm++tWv8sILL/D7v//7ADz99NO4rsujjz4af86dd97J7t27efzxx/VrGaIFUNM1+XyegwcP4nkeIyMjV0T+PvM7X+D06dNs376t47GR+AG87JHbuXTpEoVCgcnJSYaGhroY7CzitE93Wz2qNKZ8IxqbPTzPpeRKDFPUrXTrlPLttNKtWu8nEb7EF73N94N6+ZNh924U9QPV5RueRMmfEBiqgRUj/AQvAR4BwgtHvxhV8bNcUdfsUTffzzBjoYuaPWzXiIUQGuQvpFrvV39sLH+Y6jUBrExRjaXx7LriF99ya45F1Q3iMxaOhInkr9tmDyHAlQFJ28UUBqa0kFISBAG+4bMjvYghDBw/jRDg4ZOyKpiG0Vb+yn4kbu3lD5T8ARSDLK7MM2IWw89LMWSmw3/3Ln9moBpkrpT89UPtMPv1YhgG999/P/fffz9PPPEE/+7f/Tt27drFl7/8Zf7pn/5pXQJ4/PhxpqamSKVS7Nu3j9/+7d9m9+7dm0JaolFbEclkkmQy2ebo9nz4wx/mbW97G7t27cKyLAzD4I//+I/5ru/6LgAuXrxIIpFgdHS07vMmJia4ePFi39d/o6EFUNMV58+f5+jRo+zevZtsNsuZM2c2/DGjlK8QgiCQax5bG/VzXZdz584hhGB6ehrLsrra6hEFRAeV8oXmES8qBSw7rnSDhnq/FivdgOb5fn5z1C+q9/P9hvl+oT+2ivq1kj8VwQInJ5ACTAeEDLt+hcANM6dGUD2HMxyohhBHICXYVrcpX6NjvV938qewh9XXwfLq07uN8geQyaixK3gJAsDBxyPAsjxA9N7sIdRr4UmXqdQiBoKymwTp4SFJ2xVMBIZMRJl7Ahx2JuYwhdGz/C37acCL5Q/UdRX9EqBeh5vsEmC1rfeD+oaPsiyzEEwTBdeutPx1kw72fT+uGR4khUKB8fFx3vjGN/LGN75xXed6+OGH+eQnP8kdd9zBhQsX+M//+T/z2te+lsOHDw9cWlbcNJ471PnAK0BY9sz09HTd7e9973t53/ve1/P5PvzhD/Ptb3+bL3zhC+zZs4evf/3rvOMd72BqaqpOoDVrowVQsyae5/Hcc89x6dIl7rvvPrZt28alS5d63s/bK7X1foZRjcy1olb+CoUCs7Oz5HI5tmzZghCih8HOgsW5gho228eIl662eqQtCitlFpJizZVu0L7eD5pXukFtvZ96A1yz3m8N+YP6er8o5dtK/iBMgYaiKGq+LdxcgBRK/oQEw1BpOs+W8dxA0+q/2YOo2SN8v/csPz62VgKs4RLIevlrJX5QlT/h1aR8Q/kzhMCQJo6v1tIJU7J9aLWrTt9q2tfEDYawTNXpO2SWEQgITDzUMGoMj13Jy7H8RfV+WauMenVay5+K+qljG+VPUSt/cNmzsY0iQ2IVhNVW/gAulreTzTaLH/Quf4MWv/iaN2ANnJRyoE0gtXVtr3jFK3j44YfZs2cPf/VXf0U6fW1s7dhIzp49Sy5X/T7rJ/pXKpX41V/9VT73uc/xfd/3fYB6LQ8cOMDv/u7v8uijjzI5OYnjOCwtLdUJ9ezs7BXJXF0vaAHcxHSqAVxdXeXAgQMkEgkeeeSReIhqN6vg+qVVo4cQBlK23gccyd/LHrmdy5cvs7Kywvbt2xkeHu5ply/A4uUikt5TvtD9SrfVpSLlLla6dZ/ybaj3GzFArlHvF72MUvYkf40pX1FTEO+Fxwpf7dcVRhj5a5A/QMkfSv4E4AcB3nAobo5Yd7OHjVmX3rUyxfA5Vm9vJX9+IMll8yoAVyN/WA4WYGFV6yGDgG3DywjAdVOos/n4BKTCtG9r+Wse82IaBvgmwhAIYeBTYVfiMkIKCk4aX7ggIGcr0WuUv132HKYwe5a/5XBF2JBQwluRFsjwtaJct6t4Ue5GyiXGjXOAuKaifrWs1QG8HorF4obNARwdHeX222/nxIkTfM/3fM8NLy25XK5OAPvBdV1c1236WkdbowAeeOABbNvmK1/5Cm9+85sBOHbsGGfOnGHfvn3revwbCS2Am5xoeGotUkrOnTvH888/z0033cQtt9xSH1FpswlkvbTr8m2VAq6N+nmex/nz5wmCgOnpaWzb7kn+opTvlqkRfN/vKuUL9fV+Xa90G1bHrUf+gLb7fG1HfYxoMeKlhfyJqN5PjSiMmz061fvVRf2ilK8Ed0Q9iOGJ+Lzt5E8YQsmfUI0hRiiUfqD29ApEb80eNUJX3+whkOFr26v8QSh/8bFK/gwhcN2qjFlWGQsQ0iKQ4OAhhY8pDHamlwAjHvMCqtMXVMNHgE8gXIQQ7EkuACryFxjVyF8QSJA2QvgI4YGIUr6d5C9MfYsEuyzVzRzJ34ipfiaC8FgjPNYUCcrhmrkzXoqUcYkd6SUgec3KH2xMBBA2dhB0Pp/n5MmT/ORP/qSWlhry+TwnTpyIPz516hQHDhxgfHyc3bt38y/+xb/g3e9+N+l0mj179vC1r32NT3/60/ze7/0eACMjI/zbf/tvede73sX4+Di5XI6f//mfZ9++fTdELeWg0AKoqcPzPA4fPszi4iKvfOUr2bJlS9Mxa+0C7pe1Rrw0poBr5a9YLDI7O0smk2Hbtm09pnzr6/3K5TLzBY9EItF3yhfWXumW9CWOF+CGEa111fu13edL/Ho11fsNAwgCAWZFxjt6hQAvIcJ9vqEUrlHvVyt/UcOIMyKRAtXsEe0JNurFz0SJH4CTVa+nVRHxbQCuHUkk+NEF5kIZ66Ler7HZI34tWsifi89otogpBIFbUx/YQv48PLYPr9bJn09A0nLUTDcZbq0JJMLwmUqr3bl5NxW+xlHUr77TVwr1HJrGvAjIWaEoipQaNUMFKSW77QWCQDV7+LggRFv5U1G/EoUgF4+fWUv+AHzpcN7PkTbSbDfm8Q2PfDCCkHMMG2FH+zUkf7AxEcBo3umgBkH/4i/+It///d/Pnj17mJmZ4b3vfS+mafJjP/ZjWlpqeOqpp3jd614Xf/yud70LgLe+9a188pOf5C/+4i/4lV/5FX7iJ36ChYUF9uzZw2/+5m/y7//9v48/5/d///cxDIM3v/nNVCoV3vjGN/Lf/tt/u+LP5VpGC6AmZnl5mYMHD5JOp9m/f3/b+oxIAAc1Fwvgx3/5B4DOKeBa+VtYWGBpaYmtW7fGaYV+5e/iUhHf8xgdS5EdHh5IyrfVSrcoktcp6gfd1vu12ucLlmU21/uFQQzDVeIXRf1qmz2EL6srzrK0rfeT1Dd7RPV+pqNu6zrqJ6tC6NlqtqDw1a7k+Hsrp05qVgwVpfSDsJ6xtfxBc7OHtP2mY2vr/aLgaGO9H/HtHtuHepC/ISV/JU8JVkBA2lQy5/km4JMwzZpOX9XAsdaYF4SDQLAnuYhEUPCysdDljAJSCqRMIgQIUZ/yjeTPNqw47duN/E0Y80ig6OVImqpZxAlUs8iqf4lArjBi3Vr3Wl8N+YONiQAWCmqV3qBqAM+dO8eP/diPMT8/z7Zt23jNa17Dt7/9bbZtU1MOtLQovvu7v3vNuu/JyUk+8YlPrHmOVCrFRz7ykbbDpDVaADc9Kr0acPr0aY4fP84tt9zC3r171xS76JfsRvzCjUQQ6ruATxy5RDq9ystfcwe+7zMzM4PruuzcuZNkMtlXyhfq6/22bM3gOE7fI16geaVbZdgO5a+a8rXCWX3rrvdrN98vZYZz+Yhvbxrx0iB/1Xo/cHLUpXyj81Ijf1GzR229n+n0mPJtI39m7fdeTtW+WY4Zd8j6iQAPH8NXNYMBAYZptJQ/XwZg+2oMTBv5i2glf34QII2AiaFV1encr/xZFQwEUlrxdVUClz1h1G/FHSJpWl13+paCHL7wEMJgxCwiZToeSA1FkII9iRJSwkowBPQnfwCOHAfKJIR67MYRMaXgQnydi3I34+aVlz9ovS98vRSL6ntqUCngv/iLv1jzfi0tmiuJFsBNjuM4HDp0iJWVFV71qlcxNjbW8XOiX7Ib8Qu3lkgGn3vuOYQQPPP3ZyiXy1y8eJFUKsX09HTdLl/oLeoH9V2+FcdhaXaVREK98fYy4gXarHRrGvFiEgRyIPV+Lef7pczw2OrtdfV+VLd19FLvBw3NHqG81Td71By7Tvkzsg6BkAjHwKQqhF5ChR0Nv1ozCGANFVU00jXVAGnDiFO+ljSVGIVi2o/8eV61oWIQ8mcZAdPJeYQQrDpqHmDZdxm2SqC+a+LH62bMi4r6CVTa12CPpRqalv0UUgZYwiTNSnhNqgawUf7OeCkgVS9/bEEiGbJWAKt5OHSLzSDS/RtKqE7hsvMMY4n76cQgdgJvRAq4UCiQSCRIJBKdD9ZorjO0AG5ynnnmGUzTZP/+/V3/kot+yXqed0V+MRqGged57PvB2zl+/Divu+0NPP43LwDrS/lGRPV+Kq2tbusn5dvNSrcyEhn1NbSp94tSvtDdPt+m+X6+jJtAKtlqvR90P99PomoBEeDa6nRxswcibPZQK+AEUVewOmet/BmR5NXInylEHM2L6v1MX8Ty2F7+lKlagUHNzSSy4U5ctyZla6qviVlzbL+dvoOSPz8sY1DydxkhBAVvCBmGU7NhY0ggbUpBWK8YNoLcnFwCahs4OnX6ClbCQdOjlpJjL0gSyADwsE0HVVtYK380yR9AkgX1vdaF/LWaD1hyq41TrSKCg5A/2JiMRD6fZ2hoaGClLhrNtYQWwE3Offfdh2VZPf2CE0JsSCPIWszNzTE3NxdHKb9VOgTAyx7YA1RrA3uRv8Yu3+gl6Lfer6uVbhIsAYEfrLnSrduUb+N8P8NXUb6o2WOter9Y/mgx309WG0OkUFIZybEbNnvEI16EqhX0EiqSZ/hKcA2hmkqc3NrNHrXyR85Ro18qRt33ZJ38hbQSP6jW+5nhsWoDh2RsuNhVp2+rZg+odvoadaKo5G/X0DKE8heEFYUZS0nWWvIXhLdn7TKR/EXH2obH7sRlwGDRG0YpfxDKn0E3Y15Us4cgECnUshUDgxJSCpAmfuBz1kshhE/KGGK7Md+0GUQCQTi+plf5a6TkPln3cWb4U03H9MtGRQAH1QBypVnxUnV/vFxNil7rMV6aq4sWwE1OKpXqS+Q2ahRMIysrK/FWj9e85jUkEomWjSKRCAIcPlqdmt/LVo9iJcAPJJbZ24iXeKVbF1s9EqagUvGp5KzB1Ps1zPcLpMTJChXp61jvJ3Fr6v1AyZ9skD/Dq9Y9urlI/tT1hm3B+LYSzzjlKwRu1otF0ZBhilJWRXGtZo91y5+sHuubkrEhJX++YwOqVs5MemFtYIP89dDssXO4OeoHSv5qU76G4WMg2J2aBxrkzyqHXzslf5bwEAJ2J9RImFU/kr9q5K/kG4CDKQwShtfVmBdQaV9TJOOo6Bk3iWFIdltFpCyyWs4hjAqmYZI2l5BCIBgGnJ7lb60uYQibRfJvBaqRwfVEAzeiJCUaAaMjgJobES2Amr64EhHAc+fO8dxzzzE2NoYQoq38NfKyu9XQ1MNPn2b7WBqy4TaDLrZ6JFMWqdTa8heJH9DzSjfXg3LWxBpEvV+L+X5u1kClZvur94PW8ieEwMkGKn3tqMeM3hJdS1YbQyQIU9X7NcqfROInomO7a/Zo1RjSSv6kBBI+QoBRI4q5rNp761eqUW6fADupGkNEYOCH0hYYAZMb0OxRL380Rf6kBD+wCWiUP1rKnxOocyfC9HAgLXZYi/hSyZ8pOo95gTDtK2CvXQIMHLaQNCQ280gpcWvG1xhGEVvk4tewcSdwL/MBQclfq0aRoPJf43/3KoMb1QU8NHRtrFPTaAaNFkBNX2ykAPq+z9GjR5mbm+P++++nXC7zFx/4Isf+8XzX56gdFxPxcuDQ8xfbyt/QcALHcbpL+Q4lWF3Ms2BZva10G7UxgmBw9X4NzR5SUo3msUa9X+NmjzCa5yWia6jOCHRzEpAYXnRsjVgmCFPEKtIoBLiZauSvtt7Pt4nlzxCodHHWRfbQ7NFS/mqjfjWTI2L5c6q/5nwC7ERV/kBFTTElE0OqOaRcsZWgGZK07W6I/A1bJdWBL228QKV2E2Ebdi/yF6V8V2qOzRoFAgllaWHikQyPbZS/lvV+YgEQGMYItgl+sEwgJcJLUqlUEEIw7+/Eshy22RfD5pONGQ7dqwz6vo9lDfYtLZ/Pb9gQaI3maqMFcJPTb2pjo9bBFQoFnnnmGWzbZv/+/aRSKf77//fPmjaBtKOV+NUiLi8zOVT9tj+5EApeNskSAb5lYtHFiJe43q+3lW5JHyqeKpxbb71f43DnaspXmVg3zR5CqnOLBvmjRv6kER4bPp4A/GRV/Iyo5wRwR5SEGI5QQ6LD18FLqv9v1+xhEA5sFiryB901e7RK+UopGcmp+W1BmPKFqvzVRggDKdmeXVF1kE4ivE1dd9pWX+/AN+Jz9Cp/e8JO34IX1dDVy19U7zcI+TOFQdZQz7scXoctKmFw2SKQLoaQzWNeQvlLoD6u7fQVQpBkCFe4JBNJ5twdgMuIPE2lIvH8SSyrTMKexRAGaXNjhkN3w0aNgbleawA1mk5oAdT0xUZEAC9cuMDhw4eZnp7m9ttvxzAMPvM7X2jaBNKOTvLXqmP4lp2j8W1euUJFeqTWkL+1R7x0s9ItfM3WUe9nSYEvJTKQOLlQpmrr/Whd79dK/mSN/Emhmkga5U/V+6nbRJuon5etpnxFzbFQlT/DU9FAKSVixCGA+no/Ua33M32VMkZAMqvSwzgmtX+vdCd/6uWzEh5mQ3p4TflLuAhABuHMSySGETCVXgQpyLtJTKNTp2938mcb9fK34qcBPxY/TybilHGj/C2Hx7aSv5SIShWiX/MeL7nDWEIwLmZxJUgxoc7bQv7U42XCqLNgkd1YNmxLXACSSLkTw/MQnMNxAoQ7im/lsW0by7Iwa9b1XYnh0BuVAtYRQM2NihZATV8MsgkkCAKef/55ZmZmeMUrXsHExERdrZ/aV7x2F9la8tftkOgdtsW5mUXsVMDtu7dyvlRpXukWeE0jXqDzSremej9D9F3v5yNBVuWvrt4vPNYXa9f7qctskL9O9X5ryZ/RLH9+QobHivhYADGiOm+NshELobru5sifivpJcMzoqaj/SzTLn28EjGVqmz3Uua2kkqY6+TMC1ewBVGrkL5l01EMHZpxNjuRvZ3oREBScJCDxZEDGdsLH6b/TV0rJ7sQiEMkfPcgfTfJnYmCLUJrDX/HRmJeoWSSQPqvBMLZRZEis4gJJYzx8HRqbPSSXnAmGE/XNHkJAwp4FbLLJSXzfx/M8HMehVCoihIFt25TEg6RSPhmeBjZuOPRGdAHn83kdAdTcsGgB3OSsJwU8CAEslUocOHAAKSX79+9naGioqdFDCKNtCjgSP1if/AFcvrgCstoxbFZ8RjDYujXDC+dV96YxbLUf8UJDvd+IkpD6ej+ljIOo9wMlf9E6NkMIXOUmHZo91O0wePmLvp1q5c8IPx/q5S86NkhIVQfoq+7lAIkhRE3K11KfL1XUTiR99bUIwhsF5LL1UT/1MlU7ffGrUtlK/nwkqaSrUtENUb/pUPyKbrhtQyhxjuQv8E2CUNktM2BXTeSvXv5okr/dicsgBaveMDL8Avcif6Nhs0cU9etN/uo3g5SCYstmkcveTqDSdsxLVPNnmRaWaZFKqr3Fnu9xKX8npdIiW4eOsGpa2NyPSJdJJpMdf/dcK00gWgA1NypaADV9MQgBnJub49ChQ0xOTnLnnXdimmbLLt92KeB+Ur6wxno4IchuGwIkF5fU8aNjKc6dvEjOsrAsE/IBhbKHO2J1mfJtnu8nJdgDq/eDpn2+QXWUS6t6v0E1e3Qtf6CaPQxV71d3bBj1i9LDEYls+PWqWOpaDPCFxEgECBHJn7rOkeECSPBdCxHGQms7ffGbmz0ESv46pXx3xvKXiuVv2K6AEAR+9VjL8EEIdoer3ZYqKURo4TmrPvLXOOZlxRuKv8CN8mcKA1Mo0dxI+YPmTuGCv8yCnMBjnsnUPJDruuFDCIGffIQtSZX2DeQIQeVuSqUSq6urSClJpVKk02nS6TSWZdel9/sZB7NRNYATExMDPadGc62gBVDTF+sRQCklx48f5/Tp09xzzz1MTU0BtB3x0ioFPIiUb3x/NCtwegsvXVzEWSyBgGzW4uJLcyQSNkZYzxR1DE8EJpSl6hhOiR72+UpMKfFD6Vp3vV+N/EnCyF8b+Wuu96NlvV/tiJdWzR6IarOHWQ5FskW9X3RbrfwZNbnqWP78evlL5ZSIUKn+epK2p4ZLhzKHoT5nJOz0DUJTlhICEWDb1U5fpbVXTv5WnDRChVlD+QPHN5H42IaHEKK+2UN4CERDs0cQR/0EFntsJWvrkb/oc3vbCQw7zEWkhHyQAuZIME/CyPTU7ZtJPAwJyGazSAmu61AsFikUCiwsLGCaZiyDqey76CeRGwTBhgyCvl5rAAuOTeBcGyvsSo7b+SDNFUcL4CZnPSngSqXS+cAGKpUKBw8epFKp8OpXv5psNtvxc4Qw6iKAg5K/dkOit2zLcOHULJdXiFNVjdtBoLohJLOifrmN5oagBJeH5Brz/SSBBHdkHfV+shqZa2r2kJJKTn1d+633Izx3f/V+IGRV/sSIo8S0JuWrnmON/IWksxWkkASOiSFrDo5q+Pzqm7sfBIzl1IqzwLWjS8ZIupiACI9VI6fpudmjH/lbcZRgCUOStUoIBG5ghVcgSRgqdT1tzxNIWPEyCKGe24jVutM3kr/aMS+N8tfc7FGVPxU1LPUpf6pTOAgkpWCUhFltFvGkybJ3IrzWehmslb9W9X5CEO/XHR0dRQaScqXMzNwPcercAoXCP5PL5RgfH2d8fJxcLteV2G3UIGidAtbcqGgB1PRFP2NgFhYWOHjwIOPj47zyla9smtn147/8A3UfRxFBlQLuLeUL/clfLmdx/uRFTNMkkbCAZvnrNCcwVYGtmST55RIro2bLej/BAOr9EjQPd86F91+Bej91jgb5o17+oDv5S+XK6iorVn30p4X8BWbU7CHwHItI86ywMcSoaSIJZFX+KpVEeKx6boOQv2izx9ryRyh/sDuhVqste0MY4YuYM4sEUuAEFoZYe8Zf7/LXzWaQqvgBLMgJ0gbxmJhyMIYgIMF8yy5hgFJwAVADoseCvyFt7Oi62UMYgszou7ltVH1cLpdZXFxkYWGBZ599liAIGBsbi4UwnU63/MN1o1bBXa8RQI2mE1oANX3RSxewlJJTp05x8uRJ7rjjDqanp7uKPEZC6Louv/32DyOl5BWvvbPlsa3q/brZCwxV+RsZTXLx9Aq2Zcdy2s9e4OFQ/oppA6siyZSDuGmkMqaiVYOq92s930+2Ge6MmhFIb/V+0F29X+1XtJtmj4hWKV+gS/mjKn8C8AUB4SgbS7J9aBUhVcpXCAikiDt9pW+EehausTObO30xJMNWVf6C8DMsMwhTvv3Kn2TEUt+nFb86q9A2PCSw2yoSSMgH2bYz/lqNeTnjDXe1Fm6tqB8o+YvmA6aMOfX6iFF1jhYr4SCUv7BRpCwtys4zSHmW8WT9H3aNNNb7pVIpduzYwY4dO5BSks/nWVhYYG5ujuPHj5NMJmMZHBsbw7bVz9RGNYF0k6XQaK5HtABucja6C9h1XQ4dOkQ+n+ehhx5iZGSkr8d66P91N6973etIJpWI/fl/+Qegv6gfKPmLxG/7RI5CocDs6csIBKaphKMf+cMLYvkDmuYE2gWJuaoiFYVR9do31vtBJH/t6/2g/XBnpBI90SB/1Mhfq+HOdfLn1dQB5kL5q9SPc4nq/aJmDwmYPTZ7tJK/QEiMRNjpWxMlHMlFmz3sumPtcB4g0bESMKvyVw6HQQdQ1+mrhFBimAEC2JleouCklIrVdfq2kr/LRPInwicaNXusJX+rfrpO/pzAJhqymDTV99vuMB28EqQBDxBkjDwB4Ej13DvJXy/NHo0pX6gfDq3GSCrZ60b+GhtFSu6TdcfWRgY7NXsIIchms2SzWfbs2YPv+ywtLbGwsMCpU6c4fPgwuVyOsbExgiAY+M5evQpOcyMz2Hi5ZtPQjQAuLy/zrW99C4D9+/f3JX+g3gSEEHWP92P/1xuQpTIve2BPfFu3Kd9a+du6bZizx2dYvLBMKqVEr1D2KZQ9MtkkmazaCxzJn3A8CvkymdxQS/kDYvkzXB/XC5T4tZgTmFnwsX2DVBGGlqWSPyk7yl/c7IHEzSn5M9yo2UPGTSBRyreV/DUNd06Cl1S3GTXy540o+TPLIo4GShnKn1THRr9EzIZmj37kj6SHkfAxfCOWP4kM5U+0l7+armBMyfZMJH+JOOWbClO+vq/GCgXIOOq3M72kUr4AQpKxK2SsCr5v4IfyZxl+U+SvXv5okr/dictMJ+ZZ8oZYjaJxNfIX1bY2yt9qkA6fZbU5pBJYICEhnFBGN17+1IvaXv4W5e415a9Vo0jJfZKS+ySLgWC+9JGm+9fCNE22bNnCbbfdxsMPP8wjjzzCzp07KRbVa/Sd73yHQ4cOce7cOYrFYlcD5NshpdQRwKvE6uoq73znO9mzZw/pdJr9+/fz5JPVPySklPyn//Sf2LFjB+l0mkcffZTjx49fxSu+PtERQE3YZdvbL8q1BFBKydmzZzl27Bi33HILe/fuXddf5kIIDMMgCKqdwLUdw7USCHD46MW6j9ulfMfG05w7cQHTNOM0UsUD0+wv5Qv18get5wSWXQ+EUTcnECC9rJ5feiVgebtR1+zhJ0VzvV/L+X6K9dT7QRj1E2C41Xo/AD+pLkrUlH9KKTFGXHX8WvV+4e29NHsESMZyBZT81UcJW8mfMOrlLyqajOQv8NW+YCkkhiGZSi8iERSjlG9NvZ8f1vtJJGZNJA9YU/5sQ3X1qqifiFO+0Fr+opq/RvmL0raVsDFEIEgYKrXuSwNJENb7JRAY7LIHL3+GyOFLF4wCYDTJH9CT/EXUNooEleo3bq/jX5LJJDt27GDLli3Mzc1x3333sbS01DFd3C3FYlHXAF4FfvZnf5bDhw/zJ3/yJ0xNTfGnf/qnPProoxw9epSdO3fygQ98gD/4gz/gU5/6FHv37uXXfu3XeOMb38jRo0dJpVKdH0ADaAHU9Em7JhDP8zhy5AgLCws88MADjI+PD+zxfN9vOyqmlpfdPRn/+5++/DzQqtnD5sKpS9i2HdcNFcoq9DWUUW+Qvdb7QXPKF5q3g1i2SXlY3RfJX7VbGKQUDM0FCAGmaVDKCPxkc8pXfX5Uw1db7ycHI39ONeoH9fJXq/PGiKtuL4edt9FTSq2z2aOF/EX1fmZY7xfeiBQwkVURKtXsQfw6pBIuQkIQ1MifKavNHk6SaO1cxlad7YFvxkOpazt9pZSsRvIHZK0SEoHXUv5oKX8VXzWuGEJgGw5BYLDHVvV93cqfgYibPaJOYU8GrPgZTMHA5E/9o4CgOfIH/ctfu5VwQeW/1n3crRD6vo8Qglwux8jIyJrp4l66i3UTyJWnVCrx13/91/zN3/wN3/Vd3wXA+973Pr74xS/yh3/4h/z6r/86H/rQh3jPe97DD/7gDwLw6U9/momJCT7/+c/zoz/6o1fz8q8rtABq+qJVBDCfz/PMM8+QTCbZv39/XK83CAzD4K9//0ukUunOB1PtGH79999Xd3vw3AXyhQJz5xZJJhMIUV/vl0qpN/JB1PtBvfyB2g4SBIGaaddS/sAIZS6SP4ChRUkQSAwBlVGjabhzXb2fTzgQuctmj8Z6v17kb1S9Fka5RtyS6kGiFXARqZHBNnuEN3Ynf9FYmA7yJwDXN4kih+07fdVz8XwLKSQQYBtq9mBn+aumfANpclNC1TauR/4kkfypZhFPBjgygYmn5gMKsy/5i9K+FtWfu7Xkby3xg7XlrxWREHYSwagDuDbTEKWLt2xRz61SqbCwsNB1d7Hv+5TLZT0G5grjeR6+7zdF8tLpNN/4xjc4deoUFy9e5NFHH43vGxkZ4eGHH+bxxx/XAtgDWgA1A0kBz8zMcOTIEfbs2cNtt9028GLsb//Vs2zduq2rY9uNi6lUKqy+eAbTtNg9mmG25Dc1eiz4HoYhyIbiV3C8ZvGD1vV+VMUPWsufOlaqESA1L3k7+QsA21W1gUZ4u1WC4ZKSORlIyltrhztXT9o43BlCd2oY7hzR2OwR354KI4k18mfmXKRB3OwR0Un+ZCWUq5B4rVtNlLAX+cOUTNSlfNUdyaT6WkWdvlFtX638FWpSxPXyp14oO5Q/KQUrbgoVtVPyF3f6hgWaibB7dzqxgESy5GYwjLXlT0qDm+y8EsXo2Ab5SxrqefjhzuNa+Wu3Ezggkr/qcOhACgLpEtUL5qzu5c8MUmrwNq3lr5uoH/QufxHdRAG76QCO0sWtuotPnDiBbduMj4+zZcsWhoeHcRwl3RtdA/iRj3yED37wg1y8eJF7772XD3/4wzz00EMb+phXi5WVlbqPk8lkU6Agm82yb98+fv3Xf5277rqLiYkJ/vzP/5zHH3+cW2+9lYsXVYlP44aWiYmJ+D5Nd2gB1PSFZVkEQYDneTz//PPMzs5y3333sW1bd5LWC5/5nS+Ew6CDjse2k7/V1VWe+eoR0ulUHEU0Ki5ZoZpGLq6U42OHbDGwer9We4EDUFE/odK1Tjgn0AiL/mq3g5gQ51SjUTGBBLMm8mc4AssFsyJxRpQjOa3kr03KF1SzB6K62SPCT4VNJX4X8hemfIXXMOalTv7Ca0mq10zUNHoAjMYp3y47fRvkTwpZX+8XntuwJAKYSi8Ry194quEw7bu2/KHkL9zpW/HN+IVNGgEg2BNG/pa8DKahnlHOLNaMeZGh/Ilqp6+fQQglwRslf62aRcbFLJXAp8woaaO1/EUpXwcHIa5d+YPeZwB26i7+D//hP8R/FD/zzDO89rWvJZEY/FaNv/zLv+Rd73oXH/3oR3n44Yf50Ic+xBvf+EaOHTvG9u3b13Xusmcj3N5qHjeKsqeuY3p6uu729773vbzvfe9rOv5P/uRP+Jmf+Rl27tyJaZq88pWv5Md+7Md4+umnr8Tlbhq0AGr6Ivpr+4knnsAwDPbv30863V16tltq6/06RSkj8YN6+ZNScvnyZZ5/4iTDw8NxEXhjx/BkTr2xZlZXWJ2vwFBiIPV+iaRNPsxkRClfEcpfVO8nfFlX7wfNq+FayR9AJSsIhJI/AaRX1OtkllXkyxkNBtLsEQld1Owhykad5K1H/iKU/IFXMauzA9s1ezTJn6zr9K1r9miT8oXu5E8I9dpmbVW/6PpW/AImDF/N7QsjfyteGrNuzEuCqN06YXhICXvsarOHEAFSdi9//a6FA48ZfxxLwJS5QCChzKh6ynIWF1UvaMgFbGE1jXm57E2RSFyb8gfrnwHYmC7+n//zf/KpT32K3/u93+PHf/zHKRQKvO51r+M973kPDz/8cN+P08jv/d7v8XM/93P89E//NAAf/ehH+bu/+zs+/vGP88u//MsDe5xrhbNnz5LL5eKP25UJ3XLLLXzta1+jUCiwsrLCjh07+JEf+RFuvvlmJidVjffs7Cw7dlS/96IghKZ7tABq+krXzs+riEEul+Oee+4Z+AT+xmYPwxAEQWsBbBf18zyPJ/7hmfA6RzAMIxY/aB4Xc2lmCcdxMEyT2yfGgGrTSL/1fk50/Y31frZoW+9nutV6v0j8fFTAKTo+2g5iuKiZf6gxMRCmg1FNIOl5NUKnkgUvGQys2aOV/BleTbNHJH5ls+4kreRPQtzs4YWiKKWKYNq2iph16vTtKH9SUHSb6/0834wT0papavimkwtdy18c9YtSviLa7AFuEEX+RFPkb9VPh1HPcMyLhEo4469R/kwRcNrNNMlfr8OhQckfVOVvSKw2NYoEGJSDEr50yJgjzFYmSCbFNSt/MPg1cHv27OFf/+t/zcc//nFmZmY4fPgw//AP/zDQmYCO4/D000/zK7/yK/FthmHw6KOP8vjjjw/sca4lcrlcnQB2IpPJkMlkWFxc5O///u/5wAc+wN69e5mcnOQrX/lKLHwrKys88cQTvP3tb9+gK78x0QKo6YkgCHjhhRc4e1a9Adx8880bLn8QRQCbU8Dt5K9UKvHUVw5h2zaZzBAgupoTODqZw7KsWPwmJnJwZj4+biTvM5ukp3o/IBY/ANdWgtJNvV/tdhAZqEhhFPWznLArmPoB0cKX8cDmSP6kgOR8/SDnwmiLer8BNnvIShfyZ0rGMkXq5A+wk6H4xWlcxUR2RQlwq2YP2stfwY3GvHSWP6Ar+VNRP+rr/cyiirz6dnxsMo78qe+/1SCtXjcMRgx1fEXaIDvLX2OzR7cpX1Dy18uIGICzXoqKscw2c4V8sJWsua3nMS+wsfIHG7cGLpPJYBgG9957L/fee+9Az3/58mV8329Zy/b8888P9LGuN/7+7/8eKSV33HEHJ06c4N3vfjd33nknP/3TP40Qgne+8538xm/8Brfddls8BmZqaoof+qEfutqXfl2hBVDTNeVymYMHD+K6Lvv27eOJJ57oeh1cN6w14kXVANZHANvJ39LSEof++XmGhobiFEO3Q6ILhTyX8w6WZTExkWO2Rv5AdQsPl8OmkbLkQpj1blfvB9TIX1jvVyN/3db7tZI/GuQvivqBiphG4mc46vGEIBYyNylIXLAxfHUOZ6u/Ac0e0bMGoy/5q0b9oKbTt2xX07hdpH1byV9tytcyauVPsuKm4+7dRvmrbvZQx64lf6p7Vwndnnivbzo+VghBJbDU64MgYVY7fZFKvoQQIE12J/qXv36GQ4PaCTxhzOMlfCrBFkwTKr4SE0PkWPUvkTWb69SutPzBxq2BGx4eHnhDm6Yzy8vL/Mqv/Arnzp1jfHycN7/5zfzmb/5mXMLzS7/0SxQKBd72trextLTEa17zGr70pS/pGYA9ogVQ0xWXL1/m0KFDbNu2jbvvvhvTNLteBzcIhKimgNuJXxAEzM3N8cKTL5HNZuN9vt3KH8BCQc0Tayd/UD8keqgMIhS/0dwQS1aAQ/v5firtG2CYBuXhMMrTRb1frfyZ4eDcKOVbK3/Re1Wt/ImgenvTgOjwf6RrqG0iagayagqBdTd7SEG81k3UfKtU6/2qv4LayZ8wA7YP5RFAuWLHQphKhJ2+XtTpqySvseavk/ztWaPZwwln9nWSv1wkf4ESxaQRjXkx2JtQz7VW/gDKYb0fkjr5MxCc8VNhj5Cp0r5SsuIPIYRg2MgTIK+I/AGUvBEsu75RJOoQLgXVL2ra2HFV5A82LgK4kWvgtm7dimmazM7O1t0+Ozsb17ltVt7ylrfwlre8pe39Qgje//738/73v/8KXtWNhxZAzZp/4UopOXnyJKdOneKuu+5i165d8X2DFsAf/+X6pfG1EUHDUCngdvLnui5P/MMzGIZgZCSHEEZP4gdhvZ8AHKcr+YOq/EUNI6OegTWvxGRlOBS0hhEvwjAoD7eu9wNi+TP8zvV+jfInhKAyLLuTPwFONuwWrlCXHhYlEylAnjMxtkaVjL03ewjWavaokb/aer9O8mdIUrZX3+krosinZGdqESTk3QSipzEv7eSPjvIHofxBV/IX1fup412kVPInhOC0F8mZxZ7Eqmou8TMYwiBr5pFIKoGNCVjGYOWv9XzAMkmhhLpW/hobRWZ8G/xnGBNnKAHjyfqf57VYj/zB4GsAYeOHQCcSCR544AG+8pWvxKnLIAj4yle+wmOPre/10Gi6QQugpi2O43Do0CGKxSIPP/xwU/HuRkcAa4XwD37x45w8OsfQ0FCT/BUKBZ7+p2dJJpPxX+y9yF9tvd+5kxdrx/M1iR+0l7/GncC5JSik1Kw9Z8iI6/2KQyAR2C2aPaDa7CEa5E92I39ZkEK0lr/oWFDp5xr5M1Q/AhB2C1NNBQeXlSB4Iz64Jnbai+UvEr+gYtYJYbfNHrA++WuK+kkoOEnVqRw+dKaPMS/rlb8o5bvkZzDCLuBG+RNAQrhxvZ8QgrNeCiklAQZ77BWWQnG04rSvivxZQkX+JOGGEwKEEXDWzWAadl/ytyAnSBs0zQdMWysIjDXlr9WImIWK+gMuqhVsFw1cr/zBxqWAN3oI9Lve9S7e+ta38qpXvYqHHnqID33oQxQKhbgrWKPZSLQAalqyuLjIwYMHGRkZYd++fS13aF7JFPC/ettrcByHl73sZfz5f/mH+PaFhQUOf/MFMplMPKerX/mbPTOPEHEmtm3Ur9N2EIUkn1IGYvkSa9UPm0YkZj6gOB42gnTZ7NFY7wfNq+GkCMfjVaRas1ZT70cYUVTyV7MarkH+vDBjatR8WRu7hYOK+l7wk5LUiIr69St/VrgFhJotIIOSv0j8PL/m8Ux1bdPJ7se8QFX+Vrw0hiHbNntAd/KXCmsDvaBZ/vbYJQSwEkRjlQSZMO1bCWwEYIeRP4GFWmbjcdrNYEiTncYSvpSs+hlsw2RIrACipfzVpnyhWf4SzONJiRDZnuSvVaNIyX0y/nfafnAg4hexUSngjV4D9yM/8iPMzc3xn/7Tf+LixYvcd999fOlLX2pqDNFoNgItgJq6FLCUktOnT3P8+HFuu+029uzZ0zZF3G4f8EZgmiZBoN5Mf+z/egOO4/AHv/hxXNcll8vFf/33I39U3JqUrwDkminf2u0g0F7+AgkJXzZ3C0vIXPYQQpBI2lwe76/eD9Hc7CGihhPRrt5PUBlR12mWqzWA0J38xbcn1Qf589U3SAlkd6q1ZgNp9qip98NgYPK3O6m+1pH8QSf5m68b89KN/K346VD+BCOmSgO3lT9YU/6UPEbyp9bCBYCUJhBgioAz3jC2EaV9JXk/g4XJECsEAfgygSEkplEGRNfyBxD4Q0gzjxBry18v+4AXAwGlj5DyvzMQGfR9f6CrJ+HKRAABHnvssQ1J+XqOiesMNiraL941ch2aerQAamJc1+Xw4cMsLy/zqle9irGxsTWPtyzrikUAa6ONKysrfOQ/fpJEIsn09C727Kn+cjl8tHkVUNt6P4Da9W4hJTfANMyO9X7QLH+FtEAGYLoBlhBN8ud7EkMG2EkLwzDIp8DOS2yfuGFkaadRN9y5c8q3vt5Pyg7yJ6vNHhGt5C9qBDEr9X8ARPJXe2xggTXsUswnMSpKbNIjZaQ1KPlzByx/6Xr5k+AG4Zo6CQnT76rTF1rLX/ScRjvIn2UEnHKGCBDstYt18td5JzAI4XPKzSAwmLTm8SQ4jGGbhGlfAylTCAIMUUKG6+g8Q62zm5eTCNFa/qKtIIa5AC2GQ/crf42NIlDd+Qv9pYSDINiwMTAazY2KFkANoKTqwIEDpNNp9u/f39XaoyuZAjYMgyAIOH/+PJ/4z3/F2NhYKKj1cvKyu+u75/7py2psRbuUby2FskcQBKTSVvz8u633AyikBDKQmF6AaCN/ppCYtkkhLdQaN1eqcxjV55GZlUgpMaSkvFVJTLfyB9Vdv83NHrKp2SPeDtIw988b9UNR7Cx/xqiLQf2MQAkUKgmoQGk5hQC2bVnprd4PSDXt9F2f/K246fA1qcqfW3OsHaWI7eqAZ7Nv+Vs77WsZAS+5Q3GzSFX+RDVl3CB/UZdwJH9n3BEEsNteBqAQZAGPjLFKIAWIDIYoq1IDkQIh8aWDBC5UxpCyzK7kCkEgcNhC0pgP/+hQ8udHaV9R3w27KHfXpXyhd/lrVxNYK4PQnRBuVBPIzp07B3pOjeZaQgugJp6ivnfvXm655Zau515d6TEwKysrfOmP/pnJyR1djWc4/PRpto+l46aRZw+eA9rLH0A6YxP4QZ/1fhLTl3XyVzsg2hSQSNqsRhLlSgIvwAjlzw13AkfyZ5oGYcCHoYJqGHFGRb38VWSd0K2n2SPCG+lN/qBZ/mTDdhAJzC5nGcpUoJJkNF0Kk+09dPpG8mdU5S/vJlVn9Rrytzs1D5I6+YuaPWrlL2GGa93seRCh/AkVMc1ZpboxL51m/EF9s0eypfxl8APB3kQBQ0iWfTWwvFXKF6ojYoTw4+HQ0Ch/kDFWqyNiKIRViBaBdNV8QyFYlJMkk7DdmEdKg6KbI2XM4UuBkMNIw4dwy4gRJKn9DtlI+euXjZwDqNHcqGgB1JDL5XjooYcYGRnp6fOulACWy2X+9Lc+j+977N69G8vqvOC81biYl9+7C75xDC4v1x1bW+/nez55y8BkQPV+EG8HifYCBwFY4ey/RvkTgdrdW7sdxKyoocuGgExe4FhgFKEy2jzceT3NHtA67eunZMtjW8qfATIRhMdX5U9aUsmfFEjHYLGSUdeV8MMUcY/NHpXWnb4Dlz+U/EF9p69ECdnNHca8NMpf1OyBD74UYeRvffLXy3DoQMKMPw6U2Wura3fFVoYT80gshBzGDwIV+fMkpkwBEikDBAaL9C9/Gzkb8HptAtForiZaADUIIXqWP1ACWKlUOh+4DhYWFvjDX/kTkskEQoiO8tduTiDAs984Fv97csiKG0ayAoJh1SG5agoI5MDq/cyooSCUPz+QSv5kQNi+iWuJuqgfUCd/7WYEDi2EjxU2jBhmbb0fg2v26FL+Wu0ElgLSuYYZgZJY/kCwtJJhaSWj5M+U3LHtkjpfj2Ne1pK/2pQvrF/+Amlwc0I1vCj5k9WavQb5q53xdzac8edLwc12ASEkS54a8NyL/PWzFg4i+VNr4ZaDUQCGxCwukDTG1UWLPGBiiyF8P8DzXBzH5WJ5G1NDJ/FNA8PYHdabnr0m9gFfr2NgNJqriRZATd+rjjYyAiil5KWXXuLPfvvzbN26FcuymZubW/NzupU/aN8tPO44nFwsgmUOpN4vEr94O4gXUGtY/cpfdeNHtVvYKsv4a1naorpBBt3sIQWYI/3Ln4rwNW8HieRvLFPiUjGLGx6/Y2RZNWCoAsDemj1ayV/c7KFoJ38SwYhVpOJb8euXCOXvJltF+Ra9qig2yp+UkDLdlmNeAoxY/pb9IUSPkb/1yN+Uqf5qKDMKUDcfsBQU60bECCEwTQPPg1LiVnYnThMEglJ5K563Qjp1maTYjmu5WKbV8vfIlZA/2JgawGKxSDabHeg5NZprCS2Amr7ZKAH0PI/Dhw/zvz76daamdpJKpSiXS027gGsZhPwBzF/KM+y6TN+mir/jbuHGej/ZXb1fPlxNWVvvFz2PQcqfkBJhCAQC1wZrFRJLAsMQlLYEA2v2gHrxgx7lTyj5a5wRGMkfUJ0TaMDlskrBSV8wu5rj9tGL/XX6WmvL31Ioc6YI4qhfo/xBd/KXFK4awxNUX6cz4T7iSP7iMS+yZkzMVZQ/9XKX6wZDF3yHy/52HE9wW+osYGCae7Css0gJVjCF53kUi0WklFiWhWVb2JaNYRhUzIev2Eq4jUgB5/P5DV0Fp9FcbbQAagAVoVhLsFqxEWNgCoUCH373JzBNk+npXZhm2AUpDKQMWn5OO/lrFD9oL3/RqJitO8coFtWbfCR/I5VwL66ULIqAQFokfPVatZI/qE/52j51zR6eHUaFGur9QK2GE61WwwUSI6Be/qgZ+hzKn5NACZ2vhBDAcAxwwHTUsZURda0b0ewBEDTU+yHDhpUuB0RHUULbDi+g5vjjqxNsH1plyR1iIrES22xH+aNZ/qZtdeyS15zyXUv+Vvx0HCVs7PRNCvU6Rds9gDjtGzWLLPvp8Ny13b79y58vU5iw5k7gXuUPovmAkp2JZZzAwmELCVRX/Yh1K5iQsBPItCQIAlzXxXM9yqUyc4W72Dn2VRzbIpvcR7f0Ow9w0ClgKaWOAGpueLQAavpm0BHA2dlZ/vjX/pyRkRzj41vqUkpCCIKgXlD7ifpBe/nbvnsrnucCsmlOYBD4OI6LHQjGy5JMNslCuOmjk/wRyLpmDymV5JlWc9QPAbbVEPXzJGZNs0cpp5o9rEp1JAwQy59RI3/lnEpHRscCJJcFbkKQKBn4Y9VB3hvR7FEvf9WUL7QfEF0rfzKSPwHCkGwfUuJSrticdraAUDMCAfaNnehpzEu7er9O8qeus3v5a24WkQRSMGoWkOHnGz3KX8ZYJQB8qQSulfzN+ONYgjXlr9VKOKgOh5405/HDETHRYGhD5Fj1LxHIFRJGhrSxA9MwMZMmJKEoXsVNmcfxPFid38Oid4ZkMkk6nWZoaAjbTtCq6mQ9w6A3qgnkuq4BdAz137XAtXIdmjq0AGr6ZlCbQKSUHD9+nNOnT7N9+/aWnXfV1KlqZR1UyrdxSPSllQqOE5AS1QHRnufheR6uNDAMIx4QPV6WLAuJXfFJCIk7rt6MI/kzK/Xz/eKUb1AVtHWlfIUaCdM4IzD6hFbyB+AmwmhjAOZ8GMHMBRgukK63P2PEVZJX6VP+OtT7RfLXKuoX634ofxNDq0iU/BFeTjqUP98XfHP+NnXNhmTf+AmV8u212cO3Y3nsWv6kjOcBRvJnCjXjr5X8NaaM1eBpJ24WMUVn+VOP1Ur+mps9oD/5mzDmkRKKXo6cWZW/xpVwpeBC/Bovyt1MmU+BZZNL72c8C57rUSqXKJVKLC8vI4QgnU7H/5mmuS75k1JuWBOIjgBqbmS0AGqA/lLAg4gAOo7DwYMHKZfL7Nu3j+/5nqr8feZ3vlBzfeEsOCk58n/UGIpBy9/FJbWJgYoLKbUVwnU9fN/HkyaGEC23gyRE2C0curA177I0VB3xAvX1foYpkHKA8hceGz2elFDKARJsR1a7f6MZgb6si65WcuGkOAcIVzZJCe4WH0M0NHsk++v0bS1/dJQ/EXY2d5K/6DkahmTn0CJnSlvIu8n49bsrO9Ndp2+N/DV3+rZp9uhS/iQw2ih/qE7haESMul6fU84QYLA3sayGagdZTMEVlT+AshxjyJoHzJbyV0s0H7AUqBExpcoXGE/+AJZtkbWzZLNZpJRUKhVKpRIrKyvMzc2xsPqjjI+fZMuWLeRyuZ4jedGKyP8/e28eJllZ3v1/nrPUXr13T88+w76vCg4xLhEFBWGMr4mSGFF/mniJSYSoaFRQNIomGiMmmKjBvK6voMYlIggYYxgVmBmYjWVg9ume3pdaz/b8/njOObV0dXf1NjPA+V4XF9NVp6pOVXdXffq+7+/3XkwAtG0by7KiGJhIz2lFABhp3lroDOD4+DhbtmyhtbWVDRs2YBi1P47X3HhV+O9v/N0PAdj+yH6EEIsy79dwNZzlb56QEsvyW3LoiGngD6ZGxdglhzZHfYgVkur/jiar5v0UOEjmAH9MnfdrBH/lLCEoVn+M1mQETgd/vhx/CYwxrsO4Tjh5uVLlyQinqjrH/Jy+0Bz89aQmEUCx7ANTFfy5Ve1hTVcvaHVAdHVMzP5SJ46r8ww9nJfZjzbnmJfp4K+27VuJeVHwF2T8KfirVA0bRcTowkVKeMbOoCFYH1PANu6mAS80i9TC3/QxL7Aw+LPoJC6G1M9jk/AHCv6CbMCi/VDNcUnzhSQSCRKJBO3t7TjinaRHRhgeHmbbtm14nkdHR0f4XzKZnPJY9QregxazBZzLqe99BICRnsuKADDSvLWQCuDBgwfZtWsXJ554IuvXr581iuZPPng1P//5z3nZy17GD778q5rr5jvvF6h23k8gUVUKyxM1O4GhudVwwQxfAH+a7ZKyA8OIJJ8WGLZE+Bl3uq6F4Icn0VWXW51SAH++gQMhEFTm/fSqdnI5SwUUq+7Djgn/WGoyYWaCv5roF8BtdSFvopf8KqI/F5hs9eGv5MPfDGaP+cAf+PDnz0AGO4GnhT+mwh/UuoW3F5XDe018mFE3xXJ/k0asDv5mjXlZLPgDdOH6O4G1BvBHCH+WFyOmlfzH0dVsaBPwV232gFr4M4XBEU/tAK6GvxjDeID0UvOCv0b5gNVAWNIvojMZo7e3l97eXqSUTE5OMjIyQn9/P08++STJZJLOzk46Ojpoa2trWOVbCgDM59Xr/ayeAYwUaRZFABgJmF8WoK7r4fxNs2++nuexa9cu+vv7ueCCC+js7Gz6/DRNw3Vd3vRXrwovr24Tw9xbvgD58SLphPpVCD5MbKmhV837gYI/25/3m3k7iII/ZQLxpmQEZvtcNCmJJ2NMtDSu+sHsZg/dq1Tzquf9qlU97xeeQ6vnu3/rMgJngj8BeqmqpV001DrfnKqQpDuLtfBX1yJuxunbCP5Kiwh/0zmFJ51E6BReHRs56vCnCW8K/DW3GQQ81Hnst1sBh3WmArUSbQ2dvqDgL6j61cOfhfp3YPgQMoPQJgB9wfBXrSAf0Kv6edXi19HS0kJLSwvr1q3DcRxGR0cZHh7m8ccfx7Zt2traQiBMpVK+OUzN/803z7SR8vk8qVRq0ecKIzWvL33pS3z2s5+lv7+fc889ly9+8YtcdNFFx/q0nlOKADDSvBW8OTbrwCuVSmzZsgUpJZdccklT7Z1qaZoWzvtABf7OunBteNn2nf0Nbzsd/FG2Q/izbRvXdbEcgWE0D392yQmrfjAz/LmORAf0mHrtNAvMkjKMaJpQ0IeCv2nn/ZxaIKw3ewSjnA3hr0XBn2FREwjYCP48HbyMHxJdBX9uXFUutSr/z+R4EiNjg22QTii4kACG7/SVAsdqDH8zOX0bwl/VvN9M8DenjEBUTMwzpW6eKXWHbuGXphXQ1Gf8NYp5qYW/ZHNtX1z22Kkp4dAzwZ+UOhog/N66gj+1Fs5DzQumtVHAaAr+qqt+QI3b1xHjCDm18jcq1wAsCP7q5ZVvq/naiF9Hd3c33d3dYSzLiN8ufvrppzFNk87OTpLJ5KLCH1QAcLHvN1Jz+u53v8v111/P7bffzsUXX8w//uM/ctlll/HEE0/Q09NzrE/vOaMIACPNW9UAaJozr2gbHh7m0Ucfpaenh9NPP31ef1kHLef6ql+1zjqjt+br+3/xePjvRvAHU+f9wCWVUUTU0Ozha17wJySGaeB5Xo1bOJjhS05IbEOQyXuU2qmEOzeY94PGZg83rpyqzcz7SamOrwe6AP4aZgTWH2ug4M93CxfLidApnDLKIfxVwM8BRAX8YEb4m87sAQr+crYC9XkHRFPJCAzAT3qCtYkh9lopxv0ZwPOS6vYzwV/g9K13Ck8387fHSvkt5+bhTz3XqfCX95RjNTCKlD1lDDFFGQ8wteSc4C9o++r+zGGgxYC/ZoKhAyDU4tepGdx0mnQ6zerVq3Fdl7GxMUZGRjh06BCO4/DII4+E1cFsNrsgeHvWR8A8y/W5z32Od7zjHbz1rW8F4Pbbb+enP/0pX/va17jxxhuP8dk9dxQBYCRgfi3goC07UxRMsNJt9+7dnHbaaaxevXre56hpGnd9/m6SyebS+bc/so+e9mRoGNn26MEG+X4elmXVzPsViwoK5jvvp8GMq+E8T1JIaXiOh2HXAp2lo7aMIMmMKVdoMQ1mWeIkWVSzhwd4fpGzGuicBi1fKcAL9gLXw1+6NiqmOiamNJ7g8HgChMr9W9kzCgikU4E5oYYT5+z0bWT2gIXDnycF6xJDCJQBRKDMInvsVGgWAcLolyDg+VjAn8RhrZmfAn+NXMK2p85TE3rT8GfIJB6VsvB84a+kq9Zds/AXaLp4GF3X6ezsDIHvySefpLe3l5GREfbt24emaXR0dITXx2Kxph8TlAkknU5HFcBF1sTERM3X8XiceDxec5llWTzyyCN88IMfDC/TNI1LL72UTZs2HZXzfL4oAsBIC9JMRpBgpdvY2BgXXXQRra2tC3qsTd/dRldXczODjXICzz53FWejTCP9qMqlbdvY3tR5vwlB2PKFxvAXqJmqXzKhKqSq6gdaySWma2FOYG1GoIq9EQLyadXTNW1Jomq1WDE7G/xVLm/W7AFNwJ9buUzqtZW/oMJXnREoIYS/VLrMaC6NLGtIAR2t+RD+elKTVU5f5WBZbPibdBI+/Amyvvu3IfzFffhzVBu3tc4pHNMc1Y6WYkrG35zgj4XB3xrfvNIM/AVGEU3oHHRaWaEfxpY6BZkFCrRqARzWun0dzwkhqBr+hFjtn9fRh796ua6LYRisXLmSlStX4nkeExMTDA8Pc+DAAXbu3Ek2mw2dxa2trbOOrDwXKoCaLdCs4wNgNVudR30B4KabbuLmm2+uuWxoaAjXdVm2bFnN5cuWLePxxx8n0uIpAsBIC9J0UTC5XI4tW7aQSCS45JJL5vwXeL2+9ekfoWlTt4E0UjOr4VqwsNwyRRkjpQu8TAX+CqaOZznEF6nlG4tXw59EK7vV+dA120GEVnEzVsNf/Vq47OGKgaPYWe/0BSRYLZ4yZljUgOJczB6NWr5SgN5aux2kGfhDihD+EDBWShDExIxNpFjTPgKaJGH6uXpziHmB2eEP1GYQZO1auAD+1sSCYyuBz62Ggrnp4U8w4SZqM/48Q8WVi+nhD3ROMHN18Fdx+gpoCH9BOPR84W+vnWSNMYImAvhTLuGyfztNjmAKY8aZv7nC31LvA64PgdY0jba2Ntra2jjxxBOxLIuRkRFGRkbYvn17U1Ez+Xw+ioBZAh04cICWlpbw6/rqX6SjqwgAIwHzawFD4wrgkSNH2LZtG6tXr+bkk09eUDxDbRj0zGHVAfjB9PAnpSSXm8TzJGUvjq6JKY7hkSNFYrqxJPCncv8qz6MCf8pJrWlCBURLdaxpaPhZHw13AqsrBKYFMb84WWoVuDpIIVXVL7TXLtzssVjw1ygjcN9EO+3pIhMWdCVy4TnPZvaAucKfEb4oiwN/tVU/6W+riYtq+AONCvytq4Y/KWg1KvCnHmsq/O23WxHQJPxNzQd0pMUaIxfC33QuYQ+NvDuOKQxcPEbt9awwKy1fdV4H5mT2WCr4g9lNaLFYbdRMLpdjeHiYI0eOhFEzQbs4iJo5GhXAdevWsW/fvprLPvWpT9XMuD322GO8+93v5qGHHqK7u5v3vOc9vP/971/S81pKBS7vmdTV1YWu6xw5cqTm8iNHjtDb2zvNrSLNRxEARlqQqgFQSsmTTz7JgQMHOOussxb8y1pv9hBCQ0qv4bHNrIZzXZfJyUlyZYEZi7FsZduUYwcOj5EpWaw4oR3DMDhULE+Bv7nM+wFTzR5SIYJTBX+6ripEIfxZsgY2SzozZgTqVUSoFVTFLzmpUez0worgrPBXnhn+6s0eqLtFJmq3gzSCP8/SQlNHNfyFOK+jMgIl2JZOn9Va4xTuSSpYmU/MC/jzfosIfwIYbwR/cupmEAANj6etNALBCbFJhPAz/iQzwl8jswc0hr9G+4BhbvBX7RIG6HPaWR7bg+VpWHSS1Y8v+IOpFcCZJIQgm1VbSeqjZp544gkOHz7M7bffTiwWI5PJqN/PJZwD/PjHP8473vGO8Ovq1XMTExO86lWv4tJLL+X2229n27ZtvO1tb6OtrY13vvOdS3ZOx1qxWIwLL7yQ++67j40bNwLqe3zfffdx3XXzXxkYaaoiAIy0IAX7gKtXur3oRS9acPukkdN3uhZwM/BnWRb5fJ6iYxCLGTPmBLYuSwOS/rECOtBadlXJzZWM+9U4zVYfzAH8lX3QwPXQBTXw5zQwe9imhvDNHqIZ+JM+/PkKMwItiVb1AWX5Y3SGf2xyWMMRYGfAtMFNVgDaaZ0KflKAF1M3nhX+Gu0Erq/6lfSw6gegxVSPeir8FUL4C/rV1TExR3ItHMm3IDTJKa1H5g5/BG3fCvwJYPU08CcIXLT18Ffw4S85DfzV5gNWr4UTEG4XGXVSgFS3l2DJ+cGfhsCW8UWHv8AlvNwYBCrB0GV3GE20MOkOYAi3IQgeTfiD5mOoGskwjJqomYMHD/Lkk0/yH//xHxw5coR169Zx2WWXcfnll7Nx48ZFDZsGBXzT/aH8zW9+E8uy+NrXvkYsFuPMM89k69atfO5zn3tOAyDA9ddfz1ve8hZe8IIXcNFFF/GP//iP5PP50BUcaXEUAWCkBUnXdXK5HLt37552pdtcNV3MS6MWcDPzfsVigVKpTMmLYRjarNtBxsfHGRgvo+la6BYOZORtWvKQzsYZSfiO3JmqfkWPmCbqzB6geaoa2MjsoVfDn9/+nA/8gTKLgB8TAxiWenwnLqDNbd7sMYPTd74t36Cc2Z6aGf5Ct7AfEzNmp+jPt4aXn9g6ADTn9AUFf9ITrEkMAVPhr9rpOxX+5FT482f+ZoQ/ASeYCv7G3BSiauav5JmADHcCa0KgzQB/rvRo0fOLBn/1K+GqI2JcD0peG2ltqkMYkabo9YWvVVJbftThDxQALkZgsxCC1atX86EPfYiRkRFM0+Sqq67i7rvv5l/+5V943etet+DHqNenP/1pbrnlFtasWcM111zDe9/73vD9c9OmTbzkJS+pmZ++7LLLuPXWWxkdHaW9vX3Rz+d40R//8R8zODjIRz/6Ufr7+znvvPO4++67pxhDIi1MEQBGAuY/A1gulxkaGuKUU05h3bp1C26XzJTxV90Cbn7eL4fneZRl43m/RqvhxkoedtEmk6zNNsyX/DgY3y3cUZKMC4lZdiGjTd/y9VU776cidIpp1cadzuxRP+9XzCr4i9nUXNEM/IGKfnHjKl4meSjYbCGxut2Z4Y/mnb5zhj9mhj/hZ/6FGYGWGcJf0rQ5VGjHcwUHch2c3XKw6Yy/wOkLU3cCw1zgT8wIf7Xh0CKEv7I0QSqjSHBb9ZKpncB77Ay6kKz1t3scbfgDKLmtJPUxQJt1H/Bh16Td+0+KqFnBZmPeFwJ/MLcWcLPK5/OsXbuWV73qVbzqVa+a/Qbz0F/+5V9ywQUX0NHRwYMPPsgHP/hB+vr6+NznPgdAf38/69evr7lNAED9/f3PaQAEuO6666KW7xIrAsBI85LneezcuZNcLsfy5cunvFHNV9fceFX476kzgAqgmp33y+VyTJbAjMXonWbeD6buBS7nLdKJmeEPareDtOvx4LMXY9hmLMUM8KcBcmrLdxazRzGrvohVFSUbrYVTx6r/T4G/mIK/EPKkxGqVYGv43Ul1vm1uGPOy2GaPxYQ/CXhhlVCwI7dSGUZSo2SN0tSYF0/FvCCD6JaZ4W+tWSAwe6jzXxj81UfExKrhTwg0P3Nvj50FJGuMCaSECTcNwqVVL+DKBC71Tl9oFv4a7QOGxuHQCV21gGeDv0Yr4UbKlVnB6aqBC4U/aC6Ifq6arwv4xhtv5NZbb53xmF27dnHaaadx/fXXh5edc845xGIx/vzP/5xPfepTkTs20lFRBICR5qxiscjWrVsBWL58+aK/+QaqhkGAL77vazy9c5BUKjUj/Nm2RS6Xp9DEvF+j7SAJs7aKORv8NXILtzmVNu5wl1Fr9kBQSCsgXIjZw1KdQ1X1mwX+Gq2FC+FPgBGwhARPA1H0142N69BpTYE/sQD4qzZ74N/vdGvhoDH8JQL480TFKYwM4Q9gV26F+r6ZZbBhVWxEwR8V+KvP+AMV8Fzv9FXnv7jwF0TEeHXwt9fOIoD1PpGPu2llFJFQdk0QrlpJh0Bi+C+JE2b8zRX+TKGeez38xRjGlYDIzBn+oDYepmg/VHObpPnCRYE/UACYSCRmP3AOKhQK8wLAG264gWuvvXbGY0444YSGl1988cU4jsPevXs59dRT6e3tbeiEBSI3bKRFUQSAkYDmW8DDw8Ns3bqV3t5eTj/9dHbv3o1t27PfcBF0+Tt/n1KpxNlnn823v3BPeHntvF+RUqlEyTUxDb2plm/9dpCAMmat+rU2jompBrrJuCA26RCTqr2bzwgcVDUuVj/v18DsMSP8Udvy9TxJuVUBkVmeH/z5iSnoYYUQvOGYyggEjEkDrdVuAH80AX8sGvyp5+sbcqrWwsH0TuG9xW4OWh0AnJM62NDpC1NjXtT5zx/+QKPNn/cLK3+iAn/qZajAH8D62CQgGHdTlXxAGUOIilHE8QSasNVrLjUOOS24KPgr0QaSBcEfgPRSCEO9FvOFv0Ya9QSJ3FsWBQSXqgU8nxiYwFAyH23duhVN08Jdtxs2bOBv//ZvsW07/CP73nvv5dRTT33Ot38jHR1FABipKUkp2bNnD08//TSnn346q1atApQJpFgsHpVz0HUdz1MU86a/UnM5QZtYSkk+n8N1XTXvpzc379c/ViA/XiSdqP1VKFgumtDmVPVrlBGo2y66IdB1HSEEZsFDczziYx6JVIwJPxJrccweoqbqF5o9RAXoAFwNnIxEAPps8GeomBghQfe3CrjjJm5c3T7bk691+obwx8xOX5g3/HkNdwKPAZBvIiZGSsGYm2TMTYYZgWelDwFqE0hlu0ddwLM0/QifucFfawP4A/BQrmRNqJ/pvXYWIVzWmQUVEQM14dBQ6xLWwj6+xl47zTpzBIBxN6N+RnUFkfXwV93yhenhTxMtCG0U0BYV/ur3AQc7fwMtdg7gfJTL5WoiWRZbmzZt4re//S0vf/nLyWazbNq0ife+97386Z/+aQh311xzDR/72Md4+9vfzgc+8AG2b9/OF77wBT7/+c839RjCEmh13YxjJXGcbCSJVKsIACOFmi5o2XEctm3bxvj4+JSVbjOtglts1T9WAH+nnrOcvr4+Oo12li3rZdcTg1NuOxf4K9lqni7dshD489BtF8PUfWOHqHILg4gpKNEsFROTsiXltupVbwszezSCPyklni5wsp4PdOpyT/g7gWWlStgI/iSVmBiBmgHMHc6E0S+Z9uI0MS91bd9ZnL5QBX+2gr+p835TK395Ox5mHqZj08Pf2tD96wdEGyX2WZ3Y/rGduocAvClVP9WXnw7+wtVuDeDPagh/oPm3Bd2v+tEQ/qTvElbPoRIRI9DY52RZF1Mu4ZybReISF2O4HsooouVBaOjE5wR/npxAArEGdo7Fgr9GqgbCZmBwsSuA6o/JPKlUczvH56N4PM53vvMdbr75ZsrlMuvXr+e9731vzVxga2sr99xzD+9+97u58MIL6erq4qMf/ehzPgIm0tFTBICRZtRsK92mWwW3FNI0LXysAP4KhTz9/UdobW2hs7MTEJx1RmU+ZvvO/hnn/erhL19yFHCkKnON84U/09TR/A+mgqvIKplQQcS245JLiJqMwOSEAhpLh0xeYnVW7nfOZo/4VLPHtPDnf0sD+PMA2QT8SVnJ/TMyNmXLRMtVjk22F1Fmj+bhrzmzRwP4c+YAfwIm7QRIfzuIIIQ/U3d5tNSF6+8EHvNSrNAtpP/ACc2uCXiuhr/1poK/+pgXS6qfpSnwh8teO4VE44T5wp+drYmI8fBo0QsVl7AWvBbgigIIQUzE6Hc7EYIZ4U/9TCRq9wiytPA3Hy1WDEy1CoXCklYAL7jgAn7zm9/Metw555zD//zP/yzZeUR6fisCwEjTqr+/n23btrF27VpOPvnkhnOCR7sC+Mv/eIin7usDJKOjo4yOjtLd3dPwzTpwC7/itecBsO3Rg5Ury1PnFoOZv2RSuSvG/TiRRvA3Oq7agtPCX8wI21K18Oc/VlIDxyPmQvVi4KA7amoCc1Q9fj4FmGIRzB6yMu9HHfy5VAHd3OFPSLV4PjhWxjwK+QSaA33jcbo6JxrDHyhTib5A+PPvJx0rN1wLF8BfUPWbDv4EhPCnAeNOknEnFc4LrhGVn3VdqO0eIDgx1jjjbyb4e8bOIKiEQ88X/jQ0Jr30jBExQnNQL6DG7rKBZIz1sSK2J3DpIdEg5y+mpSlTRlD5mZsv/AFzhr9mW8FL0QI+GqvgIkU61ooAMFKooAXseR5PPfUUBw4c4JxzzpkxfPNoAuBP/+WXeJ46v4GBAUqlEitXriQen+oAbBQVc/a5q9j26yfo1YGUQX9BAV+92cO2bCZ1DXcWs0e1JuMCPE+ZPeIGQmgNA6IBxmMgPYi7VVZfauEvUN5/6JaJymPlM5JSizpmIU5fL+YjwRLAHwg0R30NMDCuhh3T6TLepEZ7a77xvF/ZDEFxLvA3l53A08EfKPhbH1cZgWNOEqjdDLLbyhDXHHVe/uBjNfwBM8KfLlTG3zN2Bg3BenP2yl/1PmDUK8teO8naJuEviIfRhM5eO4nQYL1ZQErBpJsmrR3BcsElQVwbRwhBvHrmz3/tFwJ/sHTB0EtlAlnKCmCkSMeDIgCMVCPLsti6dSuWZbFhw4ZZ/wo+WgD4rU//CCEEnudx6NBBNE1j9erVDd/4m9kOAtCbMhgYLZIV4GUqEJkzNBzbJa6JOZs9DF0HIaaFvzHDAw9M2wW/ahFkBGqyEgQNFfhLeBUgLGkSvQAt+Qr4FTsX7vSVgorT118N1yz8iVngT+qQSpfVXJ2/SWRkMo1mqpMN8gBLVgX+Gse8UBPzstjw580Cf6AiYoJjA/gbc9WxQNXMoOkfb4cZfwH87bWzaPhOXwnjThpELfxVmz2gAn/77VYkDmvN/BT4a5wPWAt/AOtM1ZovkiVrKKOIKxPoFHH8/r+tjWIIE4F6Hscr/MHiVwAty8JxnAWvs4wU6XhXBICRQo2NjbF582ba2tq44IILmlrpdjQAMJj3sywL27ZpbW2lq6urYUu6WfgDGBhVbdx6t/DY4DimhHRLBX7nZ/aQ0+4E9nxgsPzoF1X1m1r5q4c/qHUKSwlYAtOGmAWl1up5P6kqefNw+laATqL74Of5pzgF/gLQi6mK5kzwF8bE+PAnXBjLpRjLpZAarG0bmTbmJYC/6WJeAi01/NVvBqmGv5JnIBA12z1AtXyDyh/IsGrYqPI3F/hLa5P+46jn2Az8FaSqbFUiYpLoogRoyiVMGSkF0vPwRIkDxQQr4zvwtDSavhYpDzQ97wdLvxJusSuAuZz63kQAGOm5rggAI4U6cOAAa9eundNKN13XcRxnSc6nsglEMjY2zvDwCJqmTZuztRjwN3B4jKzj0LYsSzqpKkxPjOXmafZQqoe/QJa/+aO65TtlO4ivRvDnCrCyyuxh+qaO2JjEiQm1VKTKr7MQp2911Q/ATCvCmwp/TIG/dFoByXTwFzBv4KuYsBOM5NPhfaxsHfMPaB7+pnP6VoMfQEx3w1bufOGvPh+wEfzpfszLM1YGhNoJLGUAfx5tYRj13OEvaPnCfOGvUUSMIKap572vkGZ1QrmBR8oaKX07kKGkHabFWIauTQWvowl/UspFN4HkcjmEEEvqAo4U6XhQBICRQp199tlhzl6zClzAUsqmobEZVfL9PAYGBikWC/T09DA4ODXipZnVcIGmAz+oRMV0rmgNq5pP7xvGAFoTBriScV3UzPtps5g9xmMS6cgpZg/bVHtfp8z7SamqfsbMlT9XgJWphT9PKvhDgOGBMazOy9HAzoAX8xbs9J123s8FakBR1MKfD3j18Bdc3pEuIAHH0kP4M02XgUIW6VcC28xCUxl/xwr+mAn+7Ar8QQB/kla9SMkLImKag78xN0mL3jz8VW8Fgdngr7ISDmBl7AgW3WiaRjY+jKANz5tASslEqaw2mGg6Sb0XwzAo6xcfNfgDwverxWwBBwaQxTaWRIp0vCkCwEih5gNwwV/ei9mGCeDPcWz6+voRQrBq1WqklEhZC6iLVfWDSkxMqVRiOO/QPzQ8JSbGyNu0TrqYMY18WwIxw7zfeEwiPR/+qhSYPQxRB3/Utnxd18P2g1xrAqIb7AR2pQz3/FZX+FwdHMUepEa0sJVb7vAW1ewBU+FPgtoOMk/4A0L4E7rkycllCA+605OM2SmWxZUzZj7wFzh9BTDhJP3MwiWEP2rhLwyH9pTjOTCKuFJDSomhqds2hr/8guDPQ702s8HfMm2YCauFbGJU/Uz4DmFN84OhDXA9F8/zyNuH6JvoZkXqezi6TnvstTSrhWwCCQBwMSuAQQbgYv5BeyykW6AvzZbOOSuInYp0fCkCwEihFgKAi92GKZWK9PX1k06n6e7uRgiB4zhq5s0P5F0K+AMYzlmUchYt6dqF7PmSg+u6xBM6sViMRBnGhYdZdiGjNTR7VMNftdlDCH9+Dyik1eteDX+24+H61bxqY8d84c+wCOHPi0Esr6FNKlApdzhHBf7CcOh5wB8APvwJoGib7LM7SfrzgsuTY40z/pg+5uWow59Qho9wr68Pf/HQJawAXRceUgr22hmEsFlnFgAxA/wFb+Nzg7/ZVsKVZQcpYwAwpsTD+C8Zuq6j6zqjcg1rzH14nkax1IVtfx/d7cQ0TVLmRcTj8YbvLwtdAxdU6peiAhgp0nNdEQBGWpCCN17HcaaERM9XL77mPJ544gkuPXUDv/7WFoJBsWB+zvMkO7coR+Jiw1//WIFCrkyiboVSvmTjuC7JpEksZoIQtXuB9Xjw+cvoeBGjw6ib96PG7BGAbN6Hv7gDUkjlINYkxISq+gX+B4mKfhHK7BHerwngZwRWH9uqXrWgPVwNf0KAVgWKxqiBk/EwLDBsgZV15+n0tWqcvlKrrfoFMYbzhb+e9CRlK6ZeJ1RMDAJcV+NgvoO+kvr+npk+OGPMSy38qcdpNQrhTmCohr/a7R7V8Be0bmeCPynhxFiuYvaohz//tp7UkVL6tw3gzw3hb9xNhlXDomcQ10qoIYLZ4a+65QvNwZ9FJzExjJpcyE6FvyqFDmEh0PX1GMYBpExgeAls22Ys/2tkTmKaBoZhko1vQDf0BcMfVBzAi1mty+VypNPpZ30FMFKk2RQBYKQFSQixaE5gz/PYuXMnAwMDXHjhhXR0dHDNjWtqrv/EO/+RHZv3cc7vnz7l9osBf/nxIqlYrbElV7RxXZdUJhYuZR+y1PXtrbVrsoKA6LaJStluqNOHkCogFALyKRWxG/cECLVorBzM+3l+RqBoDH/1836BpoO/YEtaPVR6GjgZ5UnWygJXgD6p4/mmDt10w5Vuc4l5qYc//6lMC38CgWE64FaMJQH89SSr18IpZEtUwR+A7pc+pQejbppRL61WwwGnZw9PqfyNV837AVPgz/UdKwH8BRl/zcBfuBauZt6vMfyp89LRhOu/QLXwV5kVrMTL1D6mhxAuGmJW+JvrPmCVwZjCM1TVdS77gFP6ctAhZqo8Q9d1sR0by7IYKN6HpunExCha/DpaW1vnXcFbqgzAqAIY6fmgCAAjhZrvX7yLsQ6uVCqxdetWPM9jw4YNJJNT948KIbjo/5zBS1/6UpLJJN/+wj3A4oFfOmGQTlSeS77k4EkP0xQkUwl0Q33QNIK/mQKi4zmPlK4+rHNpDduTWBlR0/INKn8C1cZVnCZxhcDOzmz2CBSYPYQEvzMawp9WV/XzNNRaOMC0BZ7nZwHGpN9KVufmDsfwNAWsXtpDj9lzjnmpd/q2+/Bn2zqIStVvVvjz72om+FuZGgVBCH9ps8z+UieOpyOATj1f0/KFCvwFAc8B/NUHPC8p/MEU+JuogT9B2TNqtoKoHxsXgYYEnrbirDUnAW3B8AegkUXTRwFjTvBXHxEjEBi6gaEbEAdPejiOg5V3KE5+irFBSTKZxNP/gs7OTuLx+JTHmk7RFpBIkeavyOYUacFaaAVwbGyMTZs2kUqluPjiixvCH0ytNr7pr16FLJY468K1NcfNF/4qjwMlR+J5LqYpiMVj6IbOuJAMWY6/HaQ5+AN8+PMz8iZc4jmPnjFomag4O2qcvkI9V08T2BmBaUuMslSRFz78iengjwr8ucwAf37Vz5gB/jwpa+APgGETZ8LELhpIHTTJnOEPfPhjYfAnmB3+gBD+DM3l0cJqHs2vYcxNsd/qnAJ/nn8S84G/p61MY/jTm4e/9bHJEP5kk/AH+JtB8gjfKJJgDE+6lD1jfvAnWvCY9F+b+cNfI2lCozX1e3R3d7N69Rp6e3uJxWJ45ds4uOdDHHjmgwz338LY2NisqQRLsQc4n89HGYDPIm3evJlXvvKVtLW10dnZyTvf+c4wyzHQ/v37ueKKK0ilUvT09PC+971vyeLLnk2KKoCRFqyFAOChQ4fYuXMnJ510UlP5g5qmhY9VyQmkBgK37+yfcrtm4Q+gUFYDazHf7CG02nm/5nYCS0zXw4wZBPBXiYmpfGCZAw7ljEZcgJOqPPdas4eq9lWbPTRX+lVCgVdl9jDrzB4LhT8v4yIQYZi01MAz/cifyRiOlExOmqS6FCBNB38zzfvhaUi/tcss8Od6Wvi1Vg1/6bEQ/AAypjKiVMOfJHAKDyOEZMJOMGEnaTHV93CVOUJQ+Wu03aMR/FXP+wlRH/PCFLfvbPAHzAp/1SvhoBb+xn2jCFRWwnkSwMCT6nnGNfU6zQh/cgIkaN7UatxibgURAuLxOPF4nLa2NlzXpVgsUiwWmRz8Ox577Eo6Ojro7Oyks7NzypzxUrWAIwB8dujw4cNceuml/PEf/zG33XYbExMT/PVf/zXXXnstd955J6D+SLjiiivo7e3lwQcfpK+vjz/7sz/DNE3+7u/+7hg/g2OrCAAjhZpvC3g+AOh5Hk888QSHDx/m/PPPp6ura/Yb+Y/leV4N/NXrrDN6a76+/xePA83BX65k47oesYSuWlGCOcGfygiUqupXVflrBH9jhlTuYdcPWPYrgpYu0OOgV30/pjh9hcCThPBnlJWBREqJJ0RDs8diwJ/rw5/uqcBqUG3g/GgKI21DGTRLkGgrzcHsMTP8BU7feviTwMrEKAhB3q6AQbPwByKEP8vT2VPuwdQcDtrtnJtQMFS93SOAv2ZiXqAx/Hl+9U4TypEsa+BPMOGm5gx/680iNIiICeJhJAbCN4kIoVP2yvR57azUjwBGY/gDYiJFmSBiRmmpV8Lpuk4mkyGTySBi76a9Z4Lh4WEOHjzIrl27yGazIQy2tLRELeDnuX7yk59gmiZf+tKXwp+D22+/nXPOOYfdu3dz0kkncc8997Bz505+8YtfsGzZMs477zxuueUWPvCBD3DzzTcvmnnx2agIACMtWHPdBlK/b3guifuapnHX53/e9G22P7KPnvZk6Bbe9ujB6eEvMHukTVzXAzG72WMK/FHd8oUZ4Q9C+APwPHBMgdAELWOE95FPgZuZ6vQtV5s9hAIy6Vf+ABXO7N9kLvAndfDSzcMfgJG20coCT6hjC0VVOdI9gUwXmnL6Bhl/cPThTyAwq/b8jnoCgWSf1QkIzk2qfMGG2z2AE6ZZ7RaaNgQN4W+fk5wX/O2zs0gcH/5gzE36lUqBTbwmG7Aa/qR02e9kWGeO++ebJKUdwQbiWkeN29fzvJo/ChvBX7Pgp76Xcw+Gbm1tpbW1lRNOOAHLshgeHg6BECCVSuG6LpZlLdoHeT6fJ5vNLsp9RarVxMREzddB9Xe+KpfLxGKxmj8CghGiX//615x00kls2rSJs88+m2XLloXHXHbZZbzrXe9ix44dnH/++fN+/Ge7IgCMtGDNpQI4MTHB5s2baW1tbXrfcKBvffpHHDiwn46OzlmPnXY7yGSeXh3oSNBfUB+M+ZKD53mYMWX20DSB61pzNntALfyVUWHOKiC68jwbwZ+lC9BrncKu61HKqiG8lqr3zXxGZfyF8IcCQicuQhNJIE8qSLOrnL4e1UDHFKBzq+DPE/4MYEwN89cfq6ftyv36x0ozcDILPCR9/e0hKK7oHlW3nSXjD2aAv3Debyr82Z4eHjtf+FsXH0Yga5zCe+1UuOrtlLiCp3r4G3NTiEaOXR/+JCrmRQB7rGxNzMtc4E+tdmsEfyj4owJ/1fEwXgh/6tiC10JKm/Bf/iRlbxgQ6CJG3h0nKSoQdCzgr16xWIzly5ezfPlyPM9jcnKSPXv2kM/n+fWvf01LSwsdHR10dXWRzWbn3dHI5/MsX978cztepdmgHScBzP6PMqtXr665/KabbuLmm2+e9/3+wR/8Addffz2f/exn+au/+ivy+Tw33ngjAH19fQD09/fXwB8Qft3fP3Vc6PmkCAAjLVjNuoD7+vrYvn07J5xwAieccMKc3qCDlq8Q2pRtIPVqNiC6N2UwMFok7tg4STP8S3IcSVloJOpavnMxezSq+sEM8Mf08JeoemlLOuhFSVyCyGsU2iUu4FabPUSl5RuAn2mp9nCQNeiZEsMTPpzUmj0awR9MBUUjbas5MUsgNT/FpA7+gmMBUqkyY/kUnm8A0WIubenCrBl/0MjsUYG/tKlcyAuFPyk1PyZGNoiJ8de1aXbo9KVu5k/g0aqr+66Oa/Gk1jT8WZ6KTZkZ/mC9WcTDY8JNzwn+FDQK8jJLSgtcwkk01HlrmLiyjCFMLFnA0zwOOK2sNo4t/E05TtNobW2lra0N0zQ56aSTGBkZYXh4mK1btyKEqJkdDOKbmlHUAl46HThwgJaWlvDr6ap/N954I7feeuuM97Vr1y7OPPNMvv71r3P99dfzwQ9+EF3X+cu//EuWLVsWrfJrQhEARgq1VDOAUkqefPJJDhw4wLnnnktPT8+c7r963k8IgefJaY+dy3aQI6MFLMuipT1BNpsN3zDEoVGGdUi3V96oFmr2sMoOhbT6ejb4sz2JldXQNEGsqrNe0iGY6ApCps0RkBkwHYHpQDEra+b9NPyWrwQphGr5ItE8FTMjPTVHWO30nQn+PE21gevhDyrwJzzwkDXgByCr2sCavyJlbCIFCMaKKda0jkxx+sL84C9w865NDJNz4v53RpD14c/2DAXGVfC3dgb4AwV/oDZ2QN3Mn5C0akU17wd18MeM8BeYNo4O/EFBZkmHETEpdIpIBDomLhaGqMDSYauV1clhyh7YdBLjcTRR+b2YTUu9DzgwgcTj8Zrq4MSEmh3cv38/O3fupKWlJYTB2aqDhUIhAsAlUktLSw0ATqcbbriBa6+9dsZjTjjhBACuueYarrnmGo4cORIGeH/uc58Lr+/t7eV3v/tdzW2PHDkSXvd8VgSAkWokfCPBXDQTANq2zaOPPkqxWORFL3rRnN119WYPTZv+/OYCf/0jBayyRUdPuib1f+DwGAjoTel0JGOAYHv/GLBAs4eh14AfzAB/GVEDf64nsU3fACIFmhC4nsQVYGcFugDTPzY2LnBMMAW4mRnm/YLKn99K9tIuuiUgdBBX5v2AOcEf0BT84QKI0PxxYKyDtnSBCSdBZ1zN0DWOeZkKfwH4qXNVVT+ASScOvoGjGv7U6z4V/sacFALmBH8NV7sFbV8h0fEQQrWMBS5rjQJIGPdS/qygwPLMowZ/lXzASuVPFzE8aWGKGKD+iDhQyrIqPkGQFmYyjBBZXDnBmDMRxsNMVw1caviDxjmAmqbR1tZGW1sbJ554IuVyOZwd3L9/P5qmhTDY0dExpTq42C7gT37yk/z0pz9l69atxGIxxsbGphyzf/9+3vWud/HAAw+QyWR4y1vewqc+9amaEZlf/vKXXH/99ezYsYPVq1fz4Q9/eFZIeraqu7ub7u7uOd0maOt+7WtfI5FI8MpXvhKADRs28MlPfpKBgYGw+HDvvffS0tLCGWecsbgn/ixTBICRFixd1ymXy1Mun5ycZMuWLaTTaV70ohfNqQ0zncu3UQt4LuAH0Decw7Jsepa3kkyqtmB1TIyUktHRUaSEZ/YPkwRlGHEl47rAdjyI64ti9qj+BZwN/gypAL0a/rQq+HM9cEzVCjYQtAwYuK7E1aCwzJ3F6asuD2NeUCaS6jauYOngT0hUO1iAbRsM2G3o/gygdAU96Qkf/moz/uwmzB4B/AUtX1Dw50nl7V0XH1Tfq8WGv7q2r1a32q1FU7e1ZPPwp+JpWFT4Uz8PlcqflLC/mGF1YiKEK0mwEk7dPiZSSD8Dsuj2gajMCSa15UcF/kBVAGebI47H46xYsYIVK1bgeR7j4+MMDw+zd+/emupgKpWiq6tr0QHQsize8IY3sGHDBr761a9Oub6ZmJI9e/ZwxRVX8Bd/8Rd885vf5L777uP/+//+P5YvX85ll122aOf6bNRtt93GJZdcQiaT4d577+V973sfn/70p2lrawPgVa96FWeccQZvfvOb+cxnPkN/fz8f/vCHefe7370gA8pzQREARlqwGrmAjxw5wmOPPca6des46aST5jXv10j1Fcq5wN/AaBHHcUhmNTp7OkLXYH1GoBAwXobR/SNTnMJG3sYAukwD8BhJijmZPRrBX2XeT1Pzfj5I1cAf6v/Nwp+6XwV/dkYSL2jEHH9vs+dRbFPVwGmdvq4/wydB6ur/Rsapgb8AFKeb9wPANpBCognAnBn+bEe9IhqiBv4ABktZBktZkILzuvb5z2NhTt+5wp+GV7WebZa9vj78IQV7Gu71Vf8OK39CgbUnNTTt6MIfUAV/sgr+Kn/I6D78qTnINP6PBtL/vo+6q+nQ9oOEkjQoln/UFAgudB+w67pzcv9qmkZ7ezvt7e2cdNJJlEolhoeHGRkZ4ZZbbuG+++6jXC6zZcsWXvnKV9La2rqg8wP42Mc+BsAdd9zR8PpmYkpuv/121q9fzz/8wz8AcPrpp/PrX/+az3/+8897APzd737HTTfdRC6X47TTTuPLX/4yb37zm8PrdV3nJz/5Ce9617vYsGED6XSat7zlLXz84x8/hmd9fCiakoxUo/nMAVa3gKWUPPXUUzz22GOcffbZnHzyyXO+z2tuvGra6zStMgM4V/izbItUi0E22zIt/AH0jxWxCjapeK2BI19SH7DpTNz/4BN4Ew7mhMNyw2zK6euYArMh/NWaPQL4M6Sa+RP+ZcWsgr+4Ozv8ebqCP01AzNFwPA/H8/BiEC9opPIGyT51JlLznb5BzEsAdAYgBEbGQZQF2Gpjh2wC/jxbx6MCf5orpsBfe6rQEP4kCv40ISpOYSlYlp7gcLGdZyZ6OJjrOmrwd4KZmxX+BAr+NOGG8Le3GfjTbCQ6Eh0tDG4U7LUSrDXzrDMLiw5/mqhAUy38pVmdnKyBv5rKn5ZR3z8hEP5/Y3INHdpB9X0Qq/C8/cTFMqSUFOzfUbQfCv+r1kLhDxa+CSSRSLBy5UrOPvtsvvSlL3HbbbchpeTb3/42XV1dvPSlL+Wuu+5a8HnOpOliSiYmJtixY0d4zKWXXlpzu8suu4xNmzYt6bk9G/Qf//EfDA8PUy6XefTRR2vgL9DatWv5r//6LwqFAoODg/z93//9nBIonquKXoFIC1YAgI7j8NhjjzE5OcmLXvSiBWVp1UNgxQUskNKbm9ljRJk9WjuTZDKZsK3VCP6e3qdmx+JG7bxePfwJBEN2EBOTAKDNr7CNjpcwOgyqR5Pm6vRFB0NKhKZWnllSYmVB18RU8DMgVlf1Ezo4GYlGBf6gYuow0HBdD1cDc9xQx9ogk17TMS+ax5Q8wGr4g0rLVwQVxTr4AxrCHz78Sc2/lQ9/EpURqCGImxaHiu14noaGoL/UxhmZgywW/LlSa7zdY557fetjXgjgr2q1G/iVPyfJ2lge4UOjlJI2o4glY+r5iIXBn+evhKvAn6cqf8kcjugixoh/n9XwN9UYMcZa2rX96qzFaqTcT0JbrgxGQQXZ/31BEEJgSb+I2cOcZtdibgJJJBJcccUV6LrO97//fTo6Orj77rvnlFM6HzUTUzLdMRMTExSLxWnXZ0aKNJMiAIy0YBmGgWVZbNq0iUQiwYYNGxY9XT0AwieffJJ/fu/3SaXSTZo98lhlu7HZg8bwl04YlEoOIMmX1IdyOqNmRaaDP1DgB2AagraJCtENdQamg/k5fS0psTLTwN80Ld+g6geq5Vs5VvOPVfCnCQWKAKaj4Y6DjgJFQ2o4KXvmmBdBOAuYTKkQZmmrCyrzfgKJRBManl/hWgz4kxDCn/ArgTsmV7MyNcqYm6I3NjYt/AVO3wD+goy/6qrftKvdFgH+Gu31hUrbd62ZR/O3ewC0GwVsGVOteFFCSvVTookK/FW3i6ECfx5J/zVuDH+e9DgwL/hbQxt+PIy2GukdIKkrQ4jwhz6rITD8PxB3fotbqgRNL6YJZCGSUoYzgGvWrOGd73xnw+OajSk57bTTFu3cIkVabEUAGGnByuVy5HI51q1bxymnnLKk+Uu6rvO2T72Gc845B4Bvf+GeaVu+ruuSyAjaOltIJKaaPapVDX+B8mVlkFDw58+rNQF/1ZqMa8RzXo1hZDTJgpy+SwZ/nodjSjQhMKT6WvQn8IICS496jgH8BVU/TQoSaXWdF8Cf6forSIBG8OebPQBM/4kF836N4C8Ih54J/pBCOYWR5J04e5xekmYZpMTxdNYnh2rgL6j6NYI/ODp7fWFm+AtXu6HWEsZEGRAE692UEUOwx05gCp1V5iQFqWI2AvgLM/6WHP6qIjVE8D9V+RNS1EBgXL8Qz69KCyGQpS/WjIo0C4QLbQHXq1Qq4XnerCaQucSUzKZmYkp6e3vDy6qPaWlpmbb6Z5QlRjA+cYxllI+P84hUqwgAI9VoLvN6Ukr27NnDM888g2maR+WvXU3Twg8OAFkscdaFa4HKTCCA7TiksjqZTBrTnGner/FauLIDug7pbAX+mAP82Y6klNbRdUGcyuUF1yOegzZHByQTLWJBTl+YO/xJHZy0hyYEpn9sI/iDSmvXS3uQj6HZ/hhfuwKJAP6md/oCOnh44EFbpnn4W5acRAjmBX8aogb+NCE4UG7nQLkdgcaLW9R+6IXAX/VqN/xzmA/8Ve/1nRb+wJ/5U6+bwEETKsNnr53EFDorjQkm7DQCl4yRw5FJdDEz/HmuuyD4A6bCXyOJCgymjIsBifSkCif3/1Ovh6rSuqUvoifeM/N9srgtYFARMMCsADifmJLp1ExMyYYNG/iv//qvmtvde++9bNiwYVHOIdLzUxEARpqXHMdh+/btjI2NceaZZ/L4448flcetNpzUu4XPunAtnucxMHCEsbJBNpsNPxzmAn/5kgMCkmnTb/nCkK0esxr8YGb4U1U//zLLwdY1dEMjVnVsYsSjmBIkbImb1hbk9J0J/ly3AnRWFfy5VbOBGjPAH5V1Tl4MyMcwpALV/KRJslNV06aLeUEq+BOAbSn4Nf1j6+EPKViWmmgIf8FauGbhz5OG2pDit0oFGqsTQ+yzOpl0kmgIzkgdUM9rnvAnUCaUCvzNvtoN5g9/BPDn3y6mmazUJyjIVlrMSR96E+iiiCf97R6iDAI/568Cf5quLwj+gNnhr0op82L/XwL/KfgA6CkIlP4fCxI820bTNIQQ03YVFrsFnMvl0DRtUWfq9u/fz8jICPv378d1XbZu3QrASSedRCaTaSqm5C/+4i+47bbbeP/738/b3vY27r//fv7f//t//PSnP12084z0/FMEgJHmrEKhwJYtWzAMgw0bNmDbdtO7gBcqTdNwXbdhVIzj2PT19aFpOhsuPjmEv6AyON28X7UCs0ciYeA6Lugw6ruOm4G/ybgGcZqCv/EYEIO4J9F1HVEQWLaLrUPc0ChVzZ7PFf4U0DUPf8AU+HPSLhr+sbL+WAV/uq7h4FEYS2GkbaRtkkyUmCnjDzG18if0wDQg6KmCvwD81GtQB39+q3x5agSQFJ0EGpA0Sn6kij9fWAd/ChRTaEDaKLDP6sSVCjR1YXOCmWsIf7Pt9W0W/qpbvjAz/NU6fSGAv1qzR7HW7CFSmHoRiaa2e0gLpETzNBzh0Ge3sdwYRdd17GMCf7VSbmLdf338cBnjXXieV/O+omlaCHvB/xe7AhhsAZnvVqRG+uhHP8rXv/718Ovzzz8fgAceeICXvexlTcWUrF+/np/+9Ke8973v5Qtf+AKrVq3iK1/5yvM+AibSwhQBYKQazfbGF+zaXL58OaeddhqapiGlxPPUX/CL+cbZSLqu88v/eJhVq1bVXF4qFenr6yeTSdPV1R2eRwB/r3jteeGx9/14KyCmhb90Jh5++Ay7apYtmzb9aoNOYbKIJUXDeT+ohb+C64GuTdkJPB5TH3YJBLqhIRDkPQWcST9OJjahjp2IeXiZxk5ft0mnbzDvFwLdNPDnaqoN7KW9aeFPuOD6M4AOHroQiJRqzQoLSnYSYgr+ksnSrBl/YcyLRxj4XJzF7BHCX1KBfNFRcJ40/FnEhvCnnL95R5F12p8BrIY/gP/Or0MIjzXmEK16c/DXaK9vs/CnIG42+Jv/dg9NCAxNrZk7WG5huaGAb9LKkDYH8YTA0FqPCfzVSwiBkfzL8Ovg9zB4fwnyRoOq4GLPAOZyuUUHwDvuuGPaDMBAQUzJTHrZy17Gli1bFu28IkWKADBSU5JSsm/fPp566ilOP/30GgAL3oBd113SbKVvffpH5PP5KZtAJicnGBwcpLOzKwxunSkmpqc9SbCNuL/g1IAfqCF1TdMYcVW1rK017sfcuOQKfitNbxL+oCH8CQEJKdB1DQL4owJ/AJbrUUqCrgvSBXW/lu2Sa1G3dzJy3mYPmBn+wmMbwB9U2sMB/Om2f6wQIfwJF0q5BH1FBWc9bZM18Be2fEFV/nz4K9kmQkIs5sOfq9qAM7V8QcFfMO8HCv6k1NAETcMf6CH8TTgpHnPStBh58EzWGOWm4W+2vb777CwSJ4S4xYa/qTN/ksNWK8v1EXTdwBadZPUhPAmuncDTRhBCENPSSOkhROXn+GjBH4CRrJ37q676eZ5X818+n8d13TCCqvrY+Sqfz0d7gCM9bxQBYKRZ5bouO3bsYHh4mBe+8IXhip1ARwMAq3MAgyBokAwNDTM5OUFv7/Iwr2suGYFa2SYroHt5K0cmVPWokdPXMAwm8yU0TWDo6hwcx8OVYGUMNF2QqDN7QC38WY6kmBIh/Gm6wLI9bB3VHq6Cx2r4S8gK/Nk6JEuCuK7DCEy2uPOGvxD8UMYQjbnBn5FWcKNNA3/Vx+pCI2fH8CwTbB1d02hpGfcPahDzUgN/zMnsoWkuSDlH+FMnujY+ABImnBQIQYueBwGOF2O3ZRLznb8B0M0H/lRcSy38tfkVw6WCv0NWK8v0EdX2pVO1fYWGqWXxtEkkBoZM4Loutm2rQHBdZ4w1dBn7oOpn+2jBX72qAa9QKLB9+3ZWrFhBMplsWB2caXZwOgUAuNSdjEiRjgdFABipRvVvfKVSKWw7bNiwwY9TqVXwZus4zpLsVqye99M0Ebacjxzpx7ZtVq1aFTp957odBBT8gWRZS5zBPtV3PWtNJ4eKlf3GlXk/9YGi+zuBrYyu1ro5Lg7q9VO3EjPDn6aFQDcX+NN0H/58xUbBSwqSriApdXIpdwr8zcnpy1T4C+b9qo8N4A9LDe3ruo5rBKHP1ByrC414qqhCo3348wyH0XwKzdPQNUFLzIeX+rZvg8qfRFKw4wgf/qSUuPOAP09KPyNwdvjzkDPCX4ueR233aAb+aAB/i7ParRH8HSy30mvUwR+Vmb/qlq+uq4Bqz/XoL/fQqe+h5KgZVU3TSBsraVaLCX/VKpVKbN68ma6uLk477TT/j8La6mCj2cFmYDCqAEZ6PikCwEjTanR0lC1bttDd3c2ZZ5454xtotTt3MVVv9gje7A8ePIhhGKxatSpcW9UI/hqBH9TCXzC7ONinKlI9a9SOgpVJBbNP7xuBuN7A7KFVWr6GwCq7OAYKCDVVhRNC4HiSYkpVspJoCE0sCvyVXZdSUqLrCv4s2yU2Dm5M3S7f7c4Z/lTMizfF7FF9bDX8Ac3Bn+WDsw9/0jcl6JrAER77xzsxhEZLKkeXac0Y81Jw4gghSPktWcfT0QBNc30n6ezwpwsb1cWfBv4MZf6YDf7UarcA/sym4c/DY8JNHwX4a2ka/ioSTOjrWZHaD8QVYLsustzKeGEMXTcwTRPTNKedv1tK+Hv44Yfp7OwM4Q+mtorDc/YjZpqtDgYzgJEiPR8UAWCkhtq/fz9PPPEEp556KqtXr561JWIYxqICYCOXL0C5bOF5HqlUks7OLoQQNfl/c4U/aAx/AAP7h5n0w+26VOIvAEOSBk5fF8eoOH2lVHOTE3EAQcJTa90QLBn8Abg+uMV1nfiITtn/nuS75xjzQjPwJyAucXFD8NM0DVeo+0ul/bVws8AfEMKfJyWHJzowhEAzbDwp6Unm/Lm+qW3foPKn+/AXbKBoBH+2Z6hjq+b9oDH8CQS2Z4bwh9SVyaWJvb5wPMHf6Bzhr37mT+37zcZXQBykJ7EdG9u2KZVKCCEwTZOSfhHtsW0KzJcY/jo6Omrgr14B2AVwGlQEg87BTNXBYAtIpEjPB0UAGKlGUkp27NjBkSNHuPDCC+no6GjqdktVAazW+Pg4Q0NDAHR1dQFiAS1fpq38gV/1Q5CuM3DkSy5JoMtUrbKRpGjo9BUCJuICfKdv0LrOSw80SBiqdRxoIqZAKK3pIKkCOkGyDvwA7AzoTA9/1cc6aYgXdBJSx3JcTHSKreo6L+3NGPMCM8MfsKjw5zhmDfwJT2Ok2IYnXAaKGU5pOTJ15k84IEFDAfbqxCCTTgIhBRlTQZbTFPxRA3+G5pc4q3L7ni3wd6DcUol6mTf8KVXP/AlNEIvF1KpHCY7rMJA7jYz2IONFF809Fyc1TiqZwjDNho8RaL7wd/rpp89pRm+66mB1yzg4bnJy8jlTAdTLHrruzX7gUZBePj7OI1KtIgCMVKNcLsfk5CQbNmyYUxjqYgNgsPv3W5/+EVJKhoaGyOUm6e1dRl9fP1LCjs3zn/cDZoE/GsIfVNzCAN6ETQLfLOLAmOFNmferdvoKBAlT9z+EPBwpKacEuiZI+lAyU9UPFPwBIfxZuqoENjrW8T/LAvizdQ9d12gp+6RXhomsH51SF/MSZPzVx7w0MnvMBH8i5uHhIVy15aER/Fn+ZpB6+NM1Dc9/EF1ojDkpRu0kZSfG2sxww4y/IOA5XQV/6vY+/EkNhGRtbLAO/goLgr/pVruBgr9gr++Sw18py3JzKvwBC4K/KRLgxn+PFcZvgRZiXEChWCCfzzM8PIxhGKTTaVKpFPF4ogbajhb81Wu66mAAgj/72c+WNMkgUqTjSdFPeqQatbS0cPHFF8/5TXapKoBvuOHVbN26lbXlTp5+4EhNuLMQYt7wB83DXyPwAxquhTPyHronydow2WpM6/QVCBzHo5zGD2aWODi4Ltgm6Lo2Y8sXmDf8xbWqYz2X+LiJk5boDjhxP6B5moy/6Zy+Ll447we18KeOVT9PAfwF4Keex1T4MzBAowb+OpPjap7LTaAL6C9lAdD8tzFV+fPhr2reT4ha+JPAuphqEYfwp88Of/Wr3Y5f+BtrCH/QOOMP5hf1UtYvJu7+FqjM/LWYrbS0tOJ5HqVSkXw+z5EjR5BSkkwmFRC2/s2M91utxYS/Rgqqg57n8YEPfIChoSG+8Y1vLOpjRIp0vCoCwEg1Uqn8c3+T1XU9HLReLOVyOTZv3kwmk+FFL3oRL36xged53HPPPQzu8Gr+Ul+I2SNQs/CXz5UpxnXMhEGmKrcvV3aQnodhCEzToNsyyOfLeHGB16JPnfdLgaFrat7PAMtysX2jhi4lrusghIYt5Zzgr5z00DUtBD8LFy8GOlPhD8BJK6DTbIjZRlgJ9FIuImWh2RpeEzEvs8Gf1CUOcsaWr3Q1DP8cPeGi+3l0HYkxpATH9WN5dFW1DOBPCpeHx9UfAz2JYdJGoWHGHwLWxQYABX9SQKtewPbUsaZm+X8jqHOYea+vgq/p4K96uwcsLfxJJAdLWVaYY2jHCP6qpWkaqVSaVCoNSKyyRd/w6zj4zBCTk78im83S1dVFd3c32Wy24XtOqVTikUceWTL4C+R5Hh/5yEf44Q9/yH//939z8sknL8njRIp0vGnxlihGel5rsSuAg4OD/OY3v6G3t5fzzz8/hL3Awff6d72MN/3Vq3jTX70KWSw1vI+jCn8lB89V8BeLmeiGgr9CXGDGdXpljA7HoMMxsPyMwClmD0NV/hKmgaHrCKFheR7FhFr1FnfUHOFc4A8qrd3Z4K/+2GQxhjmYwh01ieUys8KfJyWepdq2jeAPZp/3C1q+9fAHjeFPChdZdWxPQm0G2V1YzZ5iL4esVv8Z+zN/VfCHgFajgCNjKtw7nOHTkMhZ4G/qXl84uvBnCDOEvwM+/M238ie01eFlC4W/qRKk2v6GE088kYsvvpiXvOQlrF69mlwuxyOPPMKvfvUrduzYwcDAQPhHZAB/bW1tSwp/Uko+8YlP8O1vf5tf/OIXEfw9C/XJT36SSy65hFQqNSWjNtBDDz3EK17xCtra2mhvb+eyyy7j0UcfrTnmscce4/d///dJJBKsXr2az3zmM0fh7I+togpgpCkSQvg7OZvXYgFg9caRM888kxUrVsz4WIFb+KwL14bXb39kHwOjxTmYPZqb95se/mxczyMe04jFYghNq4G/bCwWHjtpWaSBTCqO/3nOYb08deZPCGzPo5wCQxMkPA3LdZGOMntoAmJCU9Uq0Tz81YPfdMdKCSVXQU7CNCklLCjE0Gwf6FoVxEyX8Tcfs0f9vB8o+Cs7sfBrQy8hPR1dE8i6YwP4s3zoiunqBT5QWo7QlFHkYKmTs1P7VcyLn/EHCv4qMS9+5U/CmJsCJG1+S3m+8Gejfo4WE/5Aba05UMyyMjaOrutY84Q/6R0AlgL+ps77xWIxVqxYwYoVK/A8j7GxMYaGhnjqqacoFou0traSz+dpb2/njDPOWFL4u/XWW/nqV7/K/fffz+mnn74kjxNpaWVZFm94wxvYsGEDX/3qV6dcn8vluPzyy7nqqqv453/+ZxzH4aabbuKyyy7jwIEDmKbJxMQEr3rVq7j00ku5/fbb2bZtG29729toa2vjne985zF4VkdHEQBGWhQtRgyM53ns3LmTwcHBhhtHAum6jud500bFnHXhGj+GxWPHriOLAn9DtgNxvWbeD3z4cz0SCV05I4Vg0LEgLujI1ppoJi3Vssuk1P3mCgoGElmdhAstWowR7MZOX9dVGYhxVbY3/TxES0p/LZxq8S4Z/EEIf54poRAjrqm3D8/wYXAR4S+Y9wvgzzRU4PNc4U9IM4Q/pNpnMeYlGbOTFJ006xOHazL+IGj7Cia8FEIElT8oeSZxv53sSR2Bgr/qvb5HH/4yrIyPo2vaswL+6qVpGh0dHXR0dHDKKacwOjrKo48+iqZpDA4O8uCDD4at4ra2tgWvegskpeTzn/88X/rSl7jvvvs4++yzF+V+Ix19fexjHwOYdt/y448/zsjICB//+MdZvVpVum+66SbOOecc9u3bx0knncQ3v/lNLMvia1/7GrFYjDPPPJOtW7fyuc99LgLASJFm00IrgJZlsWXLFlzXnXbjSCBN07jzc3dP41KW/qo4BTlnndHLjs376WlPQLbyYTgT/DVj9siVHZASw4BYTAXjhvAHNfBXD36g4C8fBzOm02JWKoRGUWKgkUnGGfZnvKpjXmpavtJFEwI7pcJuTQfKng1C4MUFgoXAn4CsRwkrBL+YoVPyXbcB/JU9B8bTxHQDK1EiptvHBfxpQiA9w4c/CVI5kFclBkFA0Unj4tHvtCIAT5qsi/f5r2ztareg7ZvQKvCHlAjhgRRIYJ9TC3/Ve31hKeFvogb+gpgXOP7hb8pjlMvs3LmT7u5uzjjjDFzXZWRkhKGhIbZt24brunR2dtLd3U1nZ+e8tw5JKbntttv4h3/4B+655x7OO++8ed1PpGeHTj31VDo7O/nqV7/Khz70IVzX5atf/Sqnn34669atA2DTpk285CUvUX/E+7rsssu49dZbGR0dpb29/Rid/dIqAsBIUzTfFnC5XJ79wAaanJwM533OPvvsabcLgGr57t+/n66uzgbXyjD5XwjBzi1qsP2s36t1Cm//3yeaqvrB9PAnPQV/uq5jGAb5gjVtyxeag78J2z/W30DSWYqRK5ZxYqoaOJ3TVyBISgMLV0VzmGB6EoTA9TzsoEpYB38x06gCOhVNU3IdAvgDZoc/IKYbuIkSnvSwJ9LEDJ28pq5Lp8pHHf6ENJGSWvgTglXxWvjLGMUQ/jRhs9/qQkPnoAUeLi9J76fRzJ8m1Oss0JDShz8jj5CCMS8xDfwFb7UV+KtfC9cI/gLwez7A38MPP0xra2vY9jUMg56eHnp6epBSMjk5ydDQEAcPHmTnzp1NGUnqJaXk3/7t3/jUpz7Fz372M174whfO6TwjLUwTExM1X8fj8SVZH1qtbDbLL3/5SzZu3Mgtt9wCwMknn8zPf/7zcLa8v7+f9evX19xu2bJl4XURAEaKNIPmWwEcGBjg0UcfZf369Zx44okzvokHLd/GgKoqf83AH0BvqvKjPzBaAsS8nL71Zo/Fgj+AXLFMPuYRi+l0yVjADkzYFuXY9DEvycBFK6UPihI7pUBItwWWUK7gEk5YIfQ8Sdlz1GubmTv8CVugoxMzdMo+/MWFjlNM0VdQz2lZ28SSwV91yxfmDn8Amm8U8XBZExtiR2kZLh4tep51ftRL9bwfNK78CQllaSKQxDSLavjThHqMvXaSmGayUlcfiDPBH1ADf/uLGVY9x+DvkUceobW1lTPPPLPhe4AQgpaWFlpaWjjhhBOwLIuhoSGGhobYv38/mqbR1dVFV1cXnZ2dDbP8pJR8/etf56Mf/Sg/+clP2LBhw5zO89kmveyha8dHAHMQBB20YAPddNNN3HzzzVOOv/HGG7n11ltnvM9du3Zx2mmnzfrYxWKRt7/97fze7/0e3/72t3Fdl7//+7/niiuu4KGHHppT3u1zTREARloUzRUApZTs2bOHp59+mrPPPpve3pk/iKrn/TRN+G3eyn3NVvkLwK9eCv7ghBUt4WXPHJ6Y3unreZgxQcw00XT9qMBfo2OXaSkoQq5UZjLTOObFlh6aJvwqIWiWmot0TcBTMBfMSpY9d0b4C8APKvCnpx1cHETVsdXwB6pNDap6mbPjOGUTzTHoaMk3BX+anwfYCP6KThxdaLPDn78Wbi7wl3ezIfwJBM9Y7ehCvfbr/IrdXjvpV++mtn3jWhlJ0C72EJqHhsog3FcFfwWpsgxTYhKPpH8u08CfVPC3OjGBNkf4A45r+GtpaZkW/hppOiPJ008/zbZt22hvb6erq4uOjg6y2SxSSr75zW/ygQ98gB/96Ee85CUvmdN5RlocHThwgJaWynvtdNW/G264gWuvvXbG+zrhhBOaesxvfetb7N27l02bNoUzpN/61rdob2/nP//zP3njG99Ib28vR44cqbld8PVsn03PZkUAGGmK5uO6m4sJxHVdtm/fzujoKBdffHHNG0Ij1Zs9VAXQQ7V88f/NvOEvcAsDDPaNkxVwYq+67FBRtbXn6vSFhcGfnRHEmObYhG8iKfkmEmlAGVrMGKOauqx+5k+3BQiQMTUbGPNNJFJKbCERCLy0p0CxyuyhqoSN4Q+YAn8B+EEt/BmJAo7noTkGMUNnrOS3bIW672q3r6GXkLI24w8U/PUmRvCQWG4SXdAU/AkEBScVwp+UJhKmwN+q2BEEGrk6+HNlLIQ/gcE+O4vECVu39fBninJ4rBCAbxSREvZacQwEy41x8l4WBKR9+Js+4Lke/tT5zgX+1Gvz3IC/etUbSQqFQlgd/MpXvsJ3v/td1q1bxyOPPML3vvc9Xv7yl8/rcSItXEEVdzZ1d3fT3d29KI9ZKBTC+LBAwdfBGsANGzbwt3/7t9i2rea5gXvvvZdTTz31Odv+hSgHMNIiqdkKYKlU4ne/+x2FQoENGzbMGf4AhNDwvKDlG7Q4Fgf+oNYpvDIZRyu5JCyHRFwnHo8jNI1BR838dWSTiwZ/uWI5hD+gKfiz07XHtjtx9KJgmUgRM9T+35qMPwEJXUcT6g3QEZK4ruOlXfValtXr6poKHOvhL6YbU+BPxmRD+IvruppbjOXwLI0EcWKGjqPZxIQRwp8lHQ6MrWYgt4xRSz2PRvDXkxgO4Q9mhj+EnBb+oBb+PNwq+EvPCH8qynoG+Jti9lBtX4nHfjdFXI+xJpYn76ZxXJekHMd2YwhZ8KF0OvhLszo5GcKfeg4R/DVSKpVizZo1XHDBBdxwww1ceeWV/OY3vyGVSnHNNdfw+te/njvvvHPRHi/SsdX+/fvZunUr+/fvx3Vdtm7dytatW8nl1KahV77ylYyOjvLud7+bXbt2sWPHDt761rdiGEb4x8A111xDLBbj7W9/Ozt27OC73/0uX/jCF7j++uuP5VNbckUVwEiLomYAcHx8nM2bN9PZ2cmZZ545q9ljOgUVwGbn/arVCPygMfz1jxXxPI9kEjLZFOlUCoRg4MgE8bggna0YQ2YEv6xOZxNVP2AK/NWDH0wPf8Gx2YQPg26cyVGLGBpOBgrY08a8aAg0S0MKH/485UZ2pYuNMpEE836g4G+2lm991c/xSbQa/ABiPtQk4up7MFrsAUBqFp2JcXSh4fqgPy38CRU/I3z4W50YDuEvaeTV/U0Df2tiQ03DH1ADf22+S3huAc8tZI1JJODKJLooIiXg6ThaCYHA0AL481TlL5nDEV1hzMtzAf6y2eyiw1+9fv3rX/N//+//5Xvf+x4bN25k69at/PSnP2X37t1L9piRjq4++tGP8vWvfz38+vzzzwfggQce4GUvexmnnXYaP/7xj/nYxz7Ghg0b0DSN888/n7vvvpvly5cD0Nrayj333MO73/1uLrzwQrq6uvjoRz/6nI6AARByrnbPSM95OY4zZ0NHkN/1spe9rOH1/f39bNu2jZNOOol169Y19abfGAIlQ0NDTE7mSKfTHHpmAsMwpuwEXgz4c12XZBISiQSJRIKBAfWB27OytiVweCLPmHCWbN5vPvAHMFlSlzkZ9XWLEUNKyWi5SCnpTp/xRzAfKCl5KkPPEEDaxpNguFPNHrA48GegoFpqFqZ/rO0fe0qLmslpCH8cK/hbvO0eriyDBE1qyuQkBIfKLaxOTOJo3c8J+LMsi4cffphsNstZZ521pPB399138+Y3v5l///d/54/+6I+W7HGON01MTNDa2srtX/wvksmZfz6OlorFPH/xntcwPj7eVAs40tFRVAGMNEWLuQtYSsnu3bvZt28f5557Lj09PU3f5zU3XhX++1uf/lFo9GhrayeZTLL9kf3Yts3KM7oZGBgglUqxZ+shGp1+sy1fUPDnOA6plCCVThOLxRg4otyajeAP4NSuyuVPDI0CSwt/jY6dDf48TzJmFRFC0CuyCBcmRzQK2XJDp6/l5wzGDAM3UcT1JJqjoQlJCQukIKEtDvx5jknM0JH+ft16+ItpOntzK8jGRoAEQqZYnhyogz8WBH9B5t9M8OfhMeGml2S1W3Xlz5NeGPWSs1pImQO4QqCJFjwmAPGshr+lrvzdf//9/Nmf/Rlf/vKXecMb3rBkjxMp0rNZEQBGWhQ1agE7jsO2bduYmJjg4osvJpvNzuu+pZS88f1Xhvf/3c/+lD2PD5FOpzjzklMol8vk83ke/dUu5dI1DUwzhmmaaJqYG/yNFrEdm3RGJ5PJYBjGrPC3rLvyvI4MTtKGQc/yNgD2W+qYxYC/fExl980EfwH4ZVJxxnxDiII/z4c/jbZkEgRMltWxPXaWMa9EghgyqVqtUzP+JIZrEDN1ypoNUmBKgeO4OEKt2IjrBka8efhLJyZxpdcU/AE+/IGQKfVal1sQngZIlqWGWZ0Youhn48wH/lypXsNjAX9QmfkL4E+1fXto0YeRUsPzUrhyXAWQk8TVHTRNbxybchzCX3Xbd7E2ejTSr371K970pjfxxS9+kT/5kz9ZUtCMFOnZrAgAIy2KDEO1DD3PQ9M0isUimzdvxjAMNmzYUJOwPhdJKXFdF8/zEEI5O9/0gdeG13/3i78gkUiw+5F9tLa24LoulmVTLpcpFPLkLA1d01lWBW/Tw18By7JpaTXJZDJouj5n+ANC+ANYE0tzKJejHRM7VfnQaxb+qqt+MZqDPycDY5RpMdTlrusybpfQNJ3WpGqxBvCXScQY0xUgt+hxsGDCLZMgRjYWZyQxiic9dKe67Vtd+XMQUmAIgR7P43gSHANT15YM/jS9pNa6eer1lJqkv9zBiKWqy+e27AxjXmB6+Bt3k7Tok2HLF6aHv+rVbrB08HfYbqVHDNXN/Al0rQUhJgEdU6RwXQ/XdbFtGyE0dF1D1xUMCm3NcQl/6XR6yeFv06ZN/NEf/RGf/exnufbaayP4ixRpBkUAGGmK5tsCBh82xsfZsmULPT09nHHGGfN+w6+Hv0b388fvuZTvfObHnHnBGnZs3o+u6ySTOslkgiMjRXTNJdMWY3x8HF3XyY3b6LrGsjW1EQN9owWsskVbR4JMOo3QtAXDH8Ah34nW26mO7R9Wx2UycWxhzcvpW31sI/gDQvhzHIcJpzwj/LXolUrjhKseMxvzt1iMpMJzGo2p1nbtzJ8gbgRtXxCuiakLbM0CD0x0POFhCxeBWET4U3E2nuaBUJBpSYfexAiHrW5sT523qRVY7d9+Kvzljyv4O2S3skwMoes69rSGD/UNNgxNPbaUuJ76HSmXy1j2MpKJp9F1nbSxkpkUwF+z4AcLg7+zzjprSeHvoYce4vWvfz2f/OQn+fM///PnPfyJso0IIgCOsUT5+DiPSLWKADDSoigAwEOHDvHUU09xyimnsGbNmnm/CVfDX32GU7W+85kfh/8+84I1tfexsxLsKaWk/9Ao0vOIt8eYmBjHNGOMlVTLM5GEbDZFqsrpC7XwtxDwgwr8LVumhqBXVR2/rTDSlNkDmoQ/CbZjM+na6LpBi3/fAfw5aY8xZoa/SUt9nUnEmdCL6KVEePyoqaqo0838aWiYqPVylnSQUmUPpuITOFIi5wB/QctXwZ9EuH6GVwP404WogT+dGIetXlzU43Tq5SlmD5gKf9XbPeAowJ/VyjJtCF03sEVn04aPMbGWNn0/ug6x2Gpisb14nsAtZhjzxjAMAzNmYhpmDXw91+Bvy5YtbNy4kY985CNcd911z3v4ixSpGUUAGGlR9dRTT3H++efT1dU17/uYD/w10llnqF2OOzbvZ3C0xIr1PeH927bDkbECruuRbTHQNAPTNBk4Mglicat+MBX+Ah3Mq2NP76i0o3eNqhVn83X6IsGyLXKeQ2syiaap+6mGP2BO8Fd/rO4mVP6hB2WthIbWcObPxkUTGjFNJ5WYwPU8hGuiAZ5QrteYD0HV8Fc/71cDf5rAE9PDn6kpWNPxW+AEkGnyWHEVK2ODTHpplhsKYo8t/Ekf/obnDn/+ajeozPxpmk7aXAlxwhaxVbYoFgrouo5pxrCMF9HCcwf+tm3bxlVXXcX73/9+rr/++gj+IkVqUhEARpqiub6BOo7Do48+CsDZZ589b/gLXL6B2WM6+JsN/Kq1Y7P6gPyDK88NL9v+2EFM00RoGtmMTjKRwJOSvr4xkNDRm8WyLHWMEEsOf70dVceOTNJOjGXd6th9jrrtXGNeANpSyfD1mw7+6sEPKvDnpT0mmAp/9cHXWaHgtejlAZNUUj1W9cxfIj6OJ8EUSdDB08qARPM0HBxVzUMQ140Z4U/TNFzhzgv+bGmzMjaILjTKXoa9Voa4lkMQZ5XZH7Z9jzr86SOq7cvC4A9qZ/50XUfXdRKJBNKT2I5N/8QptBi/ZKh4GqnUIKlUimQyiRDTA9rxDH87d+7kyiuv5D3veQ833nhjBH+RIs1BEQBGWpAKhQKbN28mHo8Tj8cXZPbwPC9czRMYPuo1H/irD4g+8+yVDA0NkW11GMmbodM3EU/Q0ZvFtm2KxSL5fJ5xF3RNp7e34iBeSvgDQvgDWGtkOVhQUOhU7SyfCf4E0JpKhXE4c4W/oOrX+Fi/7ewHX2fj6uuikSer+8HYVoJJt0TWzOKaE1Mz/nQVeWIKEwRY0sYUOtKTZMxhpAQhlVM5gD8C+NPUHwcLhT8ghD+AA3Z7eOxB2+bs+CBtegHbv34p4O9guZVeY2ngr15CE8jk77Mm9luSxqsolYrhyjTXdUmlUuF/ul75WJgv/KVSqSWHvyeeeIIrr7ySd7zjHdx0000R/EWKNEdFABhp3hoeHmbr1q2sWLGCU089lQcffHDOAdJQafkGmeTTfWgsBvy5rsvAwACO47By5UrWmSbbHztIb1sSL60AxTAMkskkh8ZyaJpLJqMzPqbmqSZyzhRXMSwN/AEcLKjLl7dVju0bmySTro95qWT8tSaTCDGD05fZW76Nj50Kf0U/biWAv0lXPU7WVLctFOIUCj1k4zGM1FDNzF/Q8o37wJFNKMerdFVFVjcKSA+Ep6P7lb9qR/F84S+uqdc/gD/pw11wLMCE1DhirwDgVPOw/8ovJvy1LBr8zeb0hakzf8lkimQyRWdnJ7Zlky/kmZycZGhoiFgsRjqdJp55Lxl/204zsiyLzZs3k0qlOPvss5cU/p5++mmuvPJK/uRP/oRPfOITEfxFijQPRQAYaYqaeTM9cOAAjz/+OKeddhqrV68Gmt8HXK3Fmver1nTwZ9s2/f39GIbBypUr0TSN7Y8dBODMi06oOXbbjsMITbBymQI9T0r6+8fxXI9kRg9NJLGYSX9RQc984G868IOp8Nc35h/bFZhI1OWObbPdGkITGq11GX/HEv4m7XJ4LEDOigNx0loSOzYANHb6Ck1V/qQUCFdDai42LqbU8DwXB4/exCieTKu2cgP4M8O5wrnB3ypTHVuU6jVOign2OxkgAZRYY+QWCf5Gjxn81UpgxmK0xWK0tbXjuS6FYoF9h69geNdDGIZBd3c33d3dtLe3T7u+0bZtNm/eTDKZXHL427t3L1deeSV/+Id/yGc/+9klfaxIkZ7LigAw0pzkeR6PP/44fX19XHjhhXR0dITXTbcNZDodTfgrlUr09/eTyWTo7OxECMH2xw5OAb9AZ5+5grP9f2/bcZgjE3mWr+70z9vDtm1sy2bvSB4hoLsjjeM4DI2rD/568IPFhb9AlmWxPz9Gu5FgdaeC1Z2TQ8DxBX+uMUlaUz3svFeEUpasGcdxwdPV+YYzf1oJKSWaqyF1DyE04sJASo+O+KB63k4CTXjEDfW4SwV/EOx7Vo9z2O3A8YFuPvB3oNzC8uMG/qZK03Xauj9EW7f6XR8dHWVwcJBdu3ZhWRadnZ10d3fT1dVFPK5eR9u2eeSRR44K/B08eJArrriCV7/61XzhC1+I4C9SpAUoAsBIDSWEoH5NtG3bbN26lXK5zIYNG1RkSpWarQAGZo9g5m8xzR714AeQy+UYHByko6OD1tbWaat+jbRth2r/veplZ4SXbX3iMLFYnEHLZu2qLhzbwbItDh5ROXldXRks28Y0zHAO72A+11TLF5qHv3KpxIHiBKYZY3VHGwCHxydpI85y/7E8r/I9PBbw5xrq3Gvgr/5YO4vmKeOQYYzSGiuieQr+ECJs+3YmhgCBJ9PousTUCngScHWkVlbHakGczOzwVw2KzcCfIWILg79SluXm9PA33Wq3owV/UDvzp2kanZ2ddHZ2cuqpp5LL5RgaGuLQoUPs2rWLbDZLR0cHAwMDpNPpJYe/vr4+rrjiCl7+8pfzpS99KYK/SJEWqAgAIzWlXC7H5s2bSafTvOhFL8Iwpv7oNAOA9WaPmSp/zWo6+JNSMjY2xtjYGD09PaTT6XnB31kXrK25/LxT1WzYecAje/swTZPhiRKJRIKOzhS2ZVMoFJQpQ0o0XWNlZ8VEMhv81c/7QR38SUmxWORQOU8sFmdVu7rvw+M+OFaB5lpNXXegNAH6cQh/VM7JMEbxPJeJXBcy5oILPQkFboGj2JMKkmJ6ERAYIoYrLCSgS4HjOHhCsioxNC/4U+AHiwF/QcZfBf7GnjXwVy8hBNlslmw2y/r167Esi/7+fp5++mn1mnseTzzxBN3d3XR0dCw6nB05coQrr7ySiy++mH/7t3+bthUdqSJRthF+xNGxVhQEfXwqAsBIs2poaIitW7eyevVqTjnllGmBzTCMGQGwWbNHoDe+X618m6kSOBP8DQ4OUiwWWbFiBfF4fFHgr14XrlvO1icOszKTwUmr52MaBkmSHJicRLguLTGNsfExDMNkvOig6xq9Pa019zOd2QOmwl8+n6ffLrK2qyP8IGwEf4EOlBTUnJlW208OTUyCfvzBn2Ybal1bTMW8ZPQEBTtBzn+cnrjfsq2a+XOx/EgYdb62tFkVG0JDkLcSpIwJNUtIHCkqLd/w2Fngz/Dv15EWMc1kpa6OaRb+JJKDpSwrzDG0owR/wJKHPAshOHz4MO3t7Zx55pmMj4+HrWLbtuns7KSrq4vu7u55JwMEGhoa4rWvfS3nnHMOd9xxRwR/kSItkiIAjNRQQgg8z2Pfvn089dRTnHnmmaxYsWLG28xUAWx23q+RAhCEWhicyel75MgRPM9j5cqVGIaxJPAHqh0McPa5q2ou37L7MJomWNHlm0hcj8PDEypyIwETk5OYpkksZtJXUkAzG/xJz+OZCQUPa7s7Q4CeDf5WtlQuPzShjj29JViFp+7/AGPHBP4McxQkaLb6UPfMCvwBIfxlzTh9xTWkjCEgxbL4RI3TFxTQrYkPA6ryl47lAA3pGUjUCjldGEgkDg5rY+rYpYS/A6UsK/3KnzVP+APmBH/Q/F5fmDv8BTN/iUSCc845B03T6OrqoqurCyllOHIRtIpbWlrCucFMJjOn3/2RkRGuuuoqTj75ZL7xjW807DxEihRpfop+myI1lOd57Nixg4GBAV74whfS1tY26210Xce2p5b6qyt/C235VsPgd7/4iynX27ZNX18fsViM3t7eGZ2+jbQY8Adw/kkrON//90MH+hgYz2MYOiuXt+NJiW1bWJbNwcIkQgh6W9I4roOhGw3hz3Nd9kyMIDSNtV0d4Ws4HfwFVb9G8Le8fSooYmmcnlGbUg66Y3OGv2qzB8wMf2HVrwr+hBC4hjMF/oLbAT78gUmGI34sX0pP+tcdYE18uCbjD/y2r1YGNAwMtQXGs1gTG0ZKQdHLktKr4a/S8oVa+CtI9brVw18AflPgr5hlZWx8CvwBc4I/mDnjr15LDX+bN2+ugb9qVbeKTzjhBMrlMkNDQwwODvLMM88Qi8VqXMUzdQHGx8fZuHEjq1at4jvf+Q6maU577Hz1q1/9is9+9rM88sgj9PX18YMf/ICNGzeG10spuemmm/i3f/s3xsbG+L3f+z3+5V/+hZNPPjk8ZmRkhPe85z38+Mc/RtM0Xv/61/OFL3yBTCaz6OcbKdJiKgLASA21ZcsWisUiGzZsIJlMzn4DFACWSqWay4J5v/lU/mbTH7/n0vDf3/3iL+bs9K3Xth2HmwI/UPDXCPwayShLXnPRaeHXj+w5TDwWZ9CxSMQTdGXi2JbN/sFRBILujjQx01QByELgOg57JkfRNY01Pvw10/IN4G8m8Dtg+cdm/GNzkwh0TmtVMHjIHgMaw18jpy80hr8pLV9zVG33sAyEpuEadgh/uTrABAV/JuoD1UbBXUpPUnCD6tsqniyo78cpKbWVRhCfmvEnYF18FNDIuxlS2iSeJ5EyjqapHMXqeb9G8Oehnl81/AF18JdhZXwcXdOmwJ+632cv/MVisYbw10jxeJyVK1eycuVKXNcNXcU7duzAcZwaV3F1q3hycpLXve51dHZ2cuedd4aO48VWPp/n3HPP5W1vext/+Id/OOX6z3zmM/zTP/0TX//611m/fj0f+chHuOyyy9i5cyeJhPqd+JM/+RP6+vq49957sW2bt771rbzzne/kW9/61pKcc6RIiyUh662ekSKhQp4TicScWi579+5lZGSECy64oOnNHoulvr4+du7cySmnnMLq1av57hd/0TT8LVbVr15bdqtjzzlz+mN/d0gd0zc2iQQ6W5PYloVt20gpMQyDfqeIoRus6WyHJYY/gBWtDSqEwG55aMaYF5gr/KlVZY6+MPjLGInw2BazHwCNFjwm6DWP1AQ8q7YvNW1fSQIhS0gkwtOR/qq59TFlNCnOC/4mnrPwd+655y7Y5FHdKh4cHGRycpJiscimTZu4/PLLueWWW4jH4/zkJz+ZkjawVBJC1FQApZSsWLGCG264gb/5m78BVFVy2bJl3HHHHbzxjW9k165dnHHGGTz00EO84AUvAODuu+/mNa95DQcPHpx1bGYpNDExQWtrK//6yTtJJo7OazebiqUC7/zb/8P4+DgtLVPNb/PV3r17ueWWW7j//vvp7+9nxYoV/Omf/il/+7d/G/5BcfPNN/Oxj31sym1TqRT5fD78+nvf+x4f+chH2Lt3LyeffDK33norr3nNaxbtXI9HRT76SA3V2to653mbYAawet4PFsfpO52klDz99NM8/vjjnHvuuWEo9R+/51Ju+bdreeM7XjLj7Y8l/AFctHIFugWrUll6u1owTZNUOk1rayuJRII+W0FIVhfk8nkODI8ipTyq8HfIHuOQPcZJ8eUs0zpwigZJJz0j/GXN+LTwJ334M3RjRvhLGUMLgj+AcXc9B6wO+u1lYURM/cyfoAQCTC0OuofQBOvMAtKTTNpJXNcjyQQuCQV+EfzN6faNFLSKTzjhBC6++GJ+//d/n0wmw0MPPcRrXvMaHnnkEU499VT+93//F8s6Nk7WPXv20N/fz6WXVjoNra2tXHzxxWzatAmATZs20dbWFsIfwKWXXoqmafz2t7896uf8fNPjjz+O53l8+ctfZseOHXz+85/n9ttv50Mf+lB4zN/8zd/Q19dX898ZZ5zBG97whvCYBx98kDe96U28/e1vZ8uWLWzcuJGNGzeyffv2Y/G0jpqiFnCkRVPgAl6qlm+9PM9j586djI6O8oIXvIBstnHlqhoCv/Nvvwr/fazhD1Q7GODc01ZWLpSSXz/5DAdLk8RjMVa1t+J6HodGx3E9j1ZTtchM08Q0TXRdX1L4A1iZVn+1H8qr266omi1EdjChD8zu9DVHkZ5E2DqGYWLrfhTNNPAHLAj+klqKolcIjx1xVzLirqRDP8QYSZYb40wf86KRJ0vWnFBzg24cXSvgCdCI4VJGIGrgb38xw6o6+Jst4Bmef/DXSPF4PMwWfcELXsD73vc+7rvvPt761reSTCZ58sknj/q6t/5+9TO1bNmymsuXLVsWXtff309PT0/N9YZh0NHRER4Tael0+eWXc/nll4dfn3DCCTzxxBP8y7/8C3//938PQCaTqZnHfPTRR9m5cye33357eNkXvvAFLr/8ct73vvcBcMstt3Dvvfdy22231Rz3XFMEgJEaaj5vtpqmUSqVGB8fJ5vNLukbtmVZPProo3iex0UXXdT0jFA1DMr/2NTUbY42/A0ND7M6rvPCdacTj8f5Xf9hjuQKGKbJ6o4sruuqTSS2TbFYZFhX+4lXtbYgJRyePIrw56tkGehkWZlsZZTB6eHP0jFjJrZWbuj0haWBv0Ad+iH1MtNGnwPQSlxL06E9A6iZPyhSkFnSYhIQSJEiZhSRCIQ08bCQHuhoeMIFIThQzLI6MYH2HIO/LVu2LDn8AZTLZd785jczNjbGPffcQ3t7O294wxuQUnLw4MFo12+kpjU+Pl6zoapeX/nKVzjllFP4/d///fCyTZs2cf3119ccd9lll/HDH/5wqU7zuFAEgJEWRZ7n0dLSQjab5eGHHyaRSLBs2TJ6enoWHQbz+Txbtmwhm81y1llnzTsX7E1/tiH897engcGjCX/S8xgYGMCybRVf47seNQtWJbNccNIKHjp0GF1Xs3OJRIL9xXEMz6DDNJiYmGDUcdE0jRUdLSCBqpd9qeBvwFVtzpVJlW1YKMbQibEy08KoN4RhjqqKsG0Qi8WwtNKiwp/mR9nMBf4E6vnFtTRlL0+ft4y0ngQX2jXZaLdOjQAARt1JREFUMOZFF3E8LDQ0dE05iqXncbCUZWVsDIlGyWsnoQ2jiZZnNfw5jsOWLVswDKNpw8d8Zds21157LYcOHeK+++6jvb09vE4IEY51HG319qrvxZEjR1i+fHl4+ZEjRzjvvPPCYwYGBmpu5zgOIyMj4e0jVTQxMVHzdTweX1SDz+7du/niF78YVv/qVSqV+OY3v8mNN95Yc3l/f/+Mld7nqiIAjLQgBWvdXNfFMAzOPfdcPM9jaGiIgYEBHn74YUzTpKenh2XLltHa2rogGBwZGeHRRx9l1apVnHTSSYsGlo1g8GjCn+u69Pf3I4CVK1ag+VD78H517AUnqWHyF66sHSr3BiserkMTkxgI2pMmuckcQoBpxjBjJv1eEcTSw9+h4rj6OqNu2y66KObSlMtlZMcAljj+4A9Q8Odr1BOM0oIjO1hr7AUarXZTOlBuYXViEoRO0WklLoawnCS6MYYQgoTeOArkeIe/zZs3h7/PSxm87DgOb3/723n66ad54IEH6OzsXLLHmqvWr19Pb28v9913Xwh8ExMT/Pa3v+Vd73oXABs2bGBsbIxHHnmECy+8EID7778fz/O4+OLmv0dLIVksIuXxUTmVJfX7Ww/zN910EzfffPOU42+88UZuvfXWGe9z165dnHZaJV3h0KFDXH755bzhDW/gHe94R8Pb/OAHP2BycpK3vOUtc3wGz01FABhp3qrf7BE4fXVdZ9myZSxbtgzXdRkZGWFgYICtW7cihKCnp4eenp5Zc8DqdfjwYXbt2sWpp57KqlXNRbDMRwEMvgn4xv+bfZB7y+7DTYEfNIY/pyq7sKenB+G/JvXw10gXd6v7ech3E6/qalNXpMBxbCzbZl9xFAn0JlLYlsVAuQRCLDn8IaFQKGA5Fl7WQjodLI+3goS+8jiGWZoR/oKMv3r4q275wuLCX5d/rCM7MMQIh9wWDJHBkTkgwVpDnYuUHvuLGVYnc2hCAVLanEQT7bjehErwcUxKdglN01TVVtNBiAj+fLmuy1/8xV+wc+dO7r//frq7u2e/0SIrl8uxe/fu8Os9e/awdetWOjo6WLNmDX/913/NJz7xCU4++eQwBmbFihWhU/j000/n8ssv5x3veAe33347tm1z3XXX8cY3vvGYOICPdx04cKDGBTxd9e+GG27g2muvnfG+TjihkvBw+PBhXv7yl3PJJZfwr//6r9Pe5itf+QpXXnnllGpfb28vR44cqbnsyJEjz/kqbgSAkRpqtspadczLTGYPXdfD4FfP8xgdHWVgYIDt27cjpaS7u5uenh46OzunhcHA6XvgwAHOO++8o1ol+NM/qnzY1sPgguf9ULNP/X19pDMZujo7wX8dH95/eEbwq9ZDhw5zwfoVXEDl+N/1H8IwTfpkkRNau3FdB8u2OTA5gZQePakUVrmMaZohcC4m/El/ZZ3rungZGyE0BX8o+ANYZlabb4aOO/gDquAPElqKI14K13OxLYvVyRyO6Jqy3UMIQVxvAUOBout64dzmoL2c5cmnkbru/86I5y38vec97+Hhhx/mgQceOGYftA8//DAvf/nLw6+DObC3vOUt3HHHHbz//e8nn8/zzne+k7GxMV784hdz9913hxmAAN/85je57rrreMUrXhEGQf/TP/3TUX8uzwa1tLQ0FQMTfGY0o0OHDvHyl7+cCy+8kH//93+f9nNkz549PPDAA/zoRz+act2GDRu47777+Ou//uvwsnvvvZcNGzZMOfa5pCgHMFJDeZ7XcKsHLGytW/V9jI+Pc+TIEQYGBrBtO4TBrq6u8MPHdV127NjBxMQE55133nGVrn/D3/1gQfBXKBQ4cuQI7e3ttLW2ghBNVf0CBVW/C9bPfOxvRtQmlEO5SVa0ZvFcF8uysW0Lx3UxdIORWFkZSTI+0C0Q/nK5HFJKnHQZIcQU+FuZmvohUEDBXVdcwdnxBn/ArPAH08/8jXqraJF7KZW70bXDChTFMkzTxNCNmnnNRnquwJ/nebz3ve/lvvvu45e//CVr1qxZssd6PirIAfzyh//vcZUD+OefePOi5wAeOnSIl73sZaxdu5avf/3rNT+39X9UfOQjH+FrX/sa+/fvn/Lz/eCDD/LSl76UT3/601xxxRV85zvf4e/+7u/YvHkzZ5111qKd7/GmqAIYaU5arM0eQgja2tpoa2vjlFNOYXJykoGBAXbv3s327dvp7Oyks7OTw4fVB+VFF1204KXyi61/+NDrwn9//T8fanjMdPA3OTnJ0OAg3d3dZPz4mqWAPwDNUt+j1510Gr8dPISm6ySSOolkAs/zOGCN4rkeLa5QRhLpsLKlpSEEzAp/nmQyp6pg7jzgryfWDrKdAWsUSNOTyNU+lyr4S/pQdtTgz3Wx7fnB3xhraNf2I7T1pPUDQALD68K2bfJ59Tgq1ieGYRhTfq+OluHjaMDfBz7wAe655x4eeOCBCP4iLUj33nsvu3fvZvfu3VPGgqprW57ncccdd3Dttdc2/Pm+5JJL+Na3vsWHP/xhPvShD3HyySfzwx/+8DkNfxBVACNNIyllTQBrtdkDlnazRy6X4+DBgxw8eBApJR0dHaGj+HiDwEYKYHC6mJfRsTHGx8ZY1tsbrtlbKvj7Xb+CmxesmXrsbwcPccgeC1u+B3MTeJ5Lh2li2zZCE8TMmKpQGQYD3lT4C+f9UG+yuVwOTdOwk0Wog79G4Ad18Ac+/MGKRGvNcRnzKfU4xwT+HHrEEJquzwv+2tiP0FYjvQPA1Jk/x3HCaB/P8zAMAzNmEjNipOMvani/jTRf+NM0jfPOO2/J4e/DH/4wd955Jw888EDNPt1Ii6fnUwUw0sIUVQAjzarpzB5LpXK5TF9fH+vWrWP58uUMDg5y+PBhHn/8cdra2kITSfUczvGkt1z9QvV/4Kt3PxxeLqVkaGiIQqHAihUriPkD0McC/iAwkCg4/e3gIYSA1e1t/skSAkkun2PCLKDrOisTrRwqjPuO4sobueu65HI5DMPAShQWHf4Axmz1YdZhrsb2wGEHMBX+JOo5LBb8Oa7DMjGEruvYSwB/oMKDDcMgmUzieR6WbWGVLcYGVhGLHSSdTpNOpTFjJtP1io9n+JNScsstt/Cd73yHX/7ylxH8RYp0HCgCwEgzajHm/eaigwcP8sQTT3D66aeHLrp0Os26desolUoMDAwwMDDAk08+SUtLSwiDR2tf6Fz19svViijXdfn0f/wXtuOwcsWKMOPvWMFftX47qI7duO6Myu1HDmDGTMyYSc4psdbsxLIt9udHAcmyRAqrbGGaJp7nMZmbJBaLUY5X4G+mli80hr9G4AfgoM6xw1QGoBF7GOilN9GGJ0ETe5cG/hyHZdoQum5gi84lgb96aZpGIp6gI/NSvFaXfCFPoVBgdHQUwzBIpVKk02ni8UT4+3i8w9+nP/1pvva1r/HAAw/URHdEihTp2CkCwEgNJYQ4qvAnpeSpp57i8OHDXHDBBTVhsIESiQRr1qxhzZo1WJYVwuDu3bvJZDIhDKbT6eNqc4BlWWzdupXLzl7Oueeei2mafPXuh48r+KvPF7yoo5LXtSWn2v5HnDyJeJzeZBrLtiiVS+QLCq5M06QUz4czf3OBv5mqftAY/noTbTXHeHIdQ846ALqM/wUWCn/Sh7+Rowp/gYKZP03XyWZbyGZbkNKjWCySz+fDyIpUKoUWv45O02l6d/fRhr/Pf/7z/PM//zP33Xffc36m6nhSsVw81qcQ6ng6l0gVRTOAkRrqN7/5DQ8//DBXXHEF3d3dS7oJwHVdtm/fTi6X47zzziOdbvyhOp1s2w6Dp4eGhpZ0C8lcVSgU2Lx5My0tLZx11lkNX8d/u//hBres6GjDX8P7HVEQYyad8DLbUu1h0zTJ6+N40qNTSzOuWei6xqp0W8P7Wmz4q5Ym9tKiq92sE+4AHfqh+cOfPqLavswN/gItFP5mlqRcLnN4cCMDAwOUSiU6OjrC+Izp8tWONvzddttt3Hrrrfz85z/nhS984ZI9VqSKSqUS69evP+62WPT29rJnz57jdnTn+agIACM11M9+9jM++tGPsnXrVi655BI2btzIVVddRW9v76ICVblcZuvWrWiaxrnnnrtgk4fruiEMDg4OLuoWkrlqfHycLVu2sHz5ck455ZSmH7saCI8n+Luot2JmmZyc5KHhp0mn0+QNFceyzGzhcGkE1/VoQ0fXNLWJxDQxDB0Q84Y/1fJlTvDXbdbuA02I3XTph2aFP9tx6D2u4U+puu2bz+cZHBxkcHAw3MXd09NDd3d3WBF3XZfNmzcfNfj713/9Vz72sY/xs5/97Dmfp3a8qVQq1Zj4jgfFYrEI/o4zRQAYaVpJKdm3bx933XUX3//+9/ntb3/LxRdfzNVXX83VV1/NqlWrFgRUk5OTbN26lfb2ds4444xFrzJWbyEZHBxc0BaSuWpwcJBt27Zx4oknsnbt2tlvMI1u//XM1cFARxP+xsfH1a7TZb0kU5Xq2v2jjwCq7Sul9E0klnIUCwGpSXRdpzfeyYC9ePCnib0AM8JftRJCbX7oNcanwp9t02uMPqvgr16WZYUwODw8TDwep6urK5whvOCCC5Yc/u644w4++MEP8pOf/ISXvOQlS/ZYkSJFmr8iAIzUlKSUHDp0iO9///vcdddd/O///i8XXHABGzdu5Oqrr2bdunVzgsGhoSG2bdvG2rVrWb9+/ZJX5qq3kAwMDDS9hWQ+OnToEI8//jhnnnnmom44mA4Gf9d/qCnwgwXCn4SR0REmJiZY3ruceKLSZtwyvk8d262yuLZPPlN1T5Kc24fruaTtGBNaEV3TWZFswTBNRJ2r9WjAX1JbTtHrA6DN7CLDk88J+KtXUBF//PHHsW27ZjNPZ2dn03ODzUpKyTe/+U1uuOEGfvSjH9Vs2YgUKdLxpQgAI81ZUkr6+/v54Q9/yF133cV///d/c9ZZZ3H11VezceNGTj755BmB7sCBAzz55JOcccYZLF++/CieuVKzW0jmc7/PPPMM+/fv59xzz6WjY3oQWagCGDya8Dc0NES+kGf58uU1rfp6+KvX9slnKNAftn09z6NTxLH8zDvTNIn5IciuUC3vucLfhDsAMCf4azO7/OcmyRfU2rpsJssaY/dzAv5AAeCWLVsAOO+888jlcmF1sFgs0t7eHv7cL7Q9J6Xke9/7Htdddx133XUXl1122YLuL1KkSEurCAAjLUhSSoaHh/nP//xP7rzzTu6//35OOeUUrrrqKl73utdx+umnhzDoOA5PPPEEg4ODnHfeebS1tR3bk0edf7CF5MiRI5RKJbq6usIPRdOPa5lNnuexa9cuhoeHueCCC47qyrp//l3jLSTV+u3goabAD6bCn5SSgYEBrLLF8uXLMcxK1Wg2+KtWAILVbd9gu4Zl22jmAJqm0W50kBM5hBBHB/7yOTxPkslkEJpGBhU4bWor6eAx4NkPf+eff/6UP2wazQ0GfwjNx0n/gx/8gD//8z/nu9/9LldcccWcbhspUqSjrwgAIy2apJSMjY3xox/9iO9///vcc889rFmzhquvvppXvOIVfPzjH+eUU07hs5/97HGZ2yelJJ/Ph23iXC5HR0dHODc4nUHFcRwee+wxyuUy559//jEddK6HwblU/aAB/HmS/iP9uK7L8uXLayBirvAH8IKqeJndhSfDfzscQkpJRmYYdUbwPI8OPR1WBnVNAx9I5gN/SU1VmuvhL5dXO4sz6anwZ3vqtcsaqr3cxv7wPoOYF5gb/JX1i4m7vwWWHv62bt2K53lNzfw1mhsMWsVtbW2zjkj85Cc/4a1vfSvf/OY32bhx45zOdb66+eab+djHPlZz2amnnsrjjz8OKCPEDTfcwHe+8x3K5TKXXXYZ//zP/8yyZcuOyvlFinS8KwLASEumiYkJfvKTn/CNb3yDu+++m1gsxrXXXss111zDBRdcsKQmjMVQoVAIYXBiYqLhFpLAxWwYBuecc07TFcOjoX/+3UNzrvxVmz0816Ovv09V4np7a75fC4W/eg3YqtIWtH2XxVqwbRvLtrEdG03TiJkmyUQ/mtBoMeYGf9XzfuDDfk61dtMZFRU0E/zV69kCf+eff/6c5/yqzVNDQ0NIKenq6pp2bvDuu+/mz/7sz/j3f/933vCGN8zpsRaim2++mTvvvJNf/OIX4WWGYdDVpb7H73rXu/jpT3/KHXfcQWtrK9dddx2apvG///u/R+0cI0U6nhUBYKQl1ebNm3nta1/LK1/5Si6//HL+8z//k5/+9Ke0t7dz1VVXcfXVV3PxxRcvqStxMVS9hWRsbIyWlhba2tro7++nvb2dM88887gH2tu2/q7h5Y2cvo7j0NfXh2maLOtZhtAq7cDFhr9AQUXwvLZ1HCztCC8PHMW62IfrucSdFpx4Hl3T6Ul0TjGRBJoW/jyPXF61mDPpDETwN62CedmgOlgoFOjo6GDHjh28+MUvZs+ePbzxjW/ky1/+Mtdcc81RjVm6+eab+eEPf8jWrVunXDc+Pk53dzff+ta3+D//5/8A8Pjjj3P66aezadMmXvSi5vcrR4r0XFUEgJGWVJdffjl/8Ad/wPve977ww6FYLHLPPfdw11138ZOf/IREIsFVV13Fxo0bueSSSxbdmbjYsiyLffv2sW/fPtU+zGTC4OmjOfu3EAUw2Aj+bMumr6+PZDJJV3dXzYf6lvF9TYEfzB/+6hXAoCb2ktW7GbeO4HouKSeOlNI3kcQwDRMhxLROX/DhL5dD0zQVON4A/qYDP3h+wV8jBVtI3vKWt4TgtXHjRm6++WbOOuusow6An/3sZ2ltbSWRSLBhwwY+9alPsWbNGu6//35e8YpXMDo6WjNrvHbtWv76r/+a9773vUftPCNFOl4VAWCkJZXjzLyiyrIsfvGLX3DXXXfxox/9CCEEV155Ja973et4yUtecly1VAMNDAywfft2TjrpJJYvX16zhSSZTIZt4mO9haRZ3bbzN+G/y+Uy/X39ZLIZOjs6CYprc6n6weLBX70Ol38KqLavRK0qtPysQc/16Ej3oes6GWMFJanWpVXD32ROZRGmUxH8LUQPPvggGzdu5HWvex25XI6f//zn9Pb28o1vfINLLrlkSR870M9+9jNyuRynnnoqfX19fOxjH+PQoUNs376dH//4x7z1rW+lXC7X3Oaiiy7i5S9/ObfeeutROcdIkY5nRQAY6biRbdv893//N3feeSc//OEPsW2bK664go0bN/Lyl7982vVWR1MHDx7kySef5Mwzz5wyTH48bSGZj0ZHR/nkgz+nrb2tpmpyvMBfUAk8I3MiAMPWlprrYzyF67pQbsXRh9E0QZvRiWmYIAS53CSGbigD0nMM/h599FFc1z0q8PfQQw9x9dVX84lPfIJ3v/vdCCEoFov84he/4OKLL6anZ/rXcSk1NjbG2rVr+dznPkcymYwAMFKkWRQBYKTjUq7r8j//8z/cdddd/OAHPyCXy/HqV7+ajRs3cumll5JMJme/k0WUlJKnn36agwcPNhVhcyy3kMxHweaSU045hVWrFOgFlcG5tn2bAT9YGPzVa9jaUjPzJ6UkJbPYto1jq/3Fuq6TSqVUhdBvEz9X4M9xHC644IIlh78tW7Zw5ZVX8pGPfIT3vve9x90fNS984Qu59NJLeeUrXxm1gCNFmkURAEY67uW6Lr/5zW9CGBwaGuKyyy5j48aNvOpVr1ryuTvP89i5cyejo6Ocf/75c368o7mFZD46fPgwu3bt4qyzzpo2IuPLu2d2Ts6l6geLC3/VCkAwaPt6rhu2fQUC27HpTh5E09WuYk3TyBrTx4JE8FfRtm3beM1rXsP73vc+PvCBDxx38JfL5VizZg0333wzb3nLW+ju7ubb3/42r3/96wF44oknOO200yITSKRIviIAjPSskud5PPLII9x555384Ac/4ODBg7zyla/k6quv5jWveQ0tLS2L+nhBxp9lWZx//vkLbkMv1RaS+Wrfvn08/fTTnHvuuXR2djZ1m3oYPJ7gD+CE9KkAWOUyff19ZNv3qtgeIcjwJK7n4bkurusRc1swTRPTNDF8E0mgCP4q2rlzJ69+9au57rrr+OhHP3pcwN/f/M3f8NrXvpa1a9dy+PBhbrrpJrZu3crOnTvp7u7mXe96F//1X//FHXfcQUtLC+95j3qNH3zwwWN85pEiHR+KADDSs1ae5/HYY4+FMPj000/zile8gquuuoorr7yStra2BX1QlctltmzZgmmanHvuuUuyN3UxtpDM97GDlvb5559Pa2vr7DdqoC/v/t85t32bAT9YGPyVSyX6+vtpbW2lvb09PC7uPhDGvGT0blzXwbJsbNsKHcWmGaPH7AMhIvhDVc5e/epX8/a3v51PfOITxwX8AbzxjW/kV7/6FcPDw3R3d/PiF7+YT37yk5x4ovp5CYKgv/3tb9cEQS/mfu5IkZ7NigAw0nNCUkp27drFnXfeyfe//3127tzJS1/6UjZu3MiVV15JV1fXnD648vk8mzdvpr29nTPOOGPJ27Tz3UIy38d6/PHHGRwcXPS1dV/f98tprzta8Fcqlejv76O9vZ3W1raaYwu2ArSVibPwnKpKppS4notl2XRoB5BS4norSMQHSRsra3IQG+lowt9jjz2GbdtHBf52797Nq1/9at70pjfxmc985piPK0SKFGnxFAFgpOecpJTs3r07hMGtW7fye7/3e2zcuJGrrrqKZcuWzQiDY2P/f3t3HhdVvf9x/DWDoiggosNmIqCiuKKoRCVaeUVEHVzKXHGprmu5XbXFlnuta5ppaeXPX6Xd1FJh3M3cccMyiVRU1MLQhGETEJBt5vz+8MdcETVUYEbn83w8eDzqzJk53zOA8+a7fbKIi4vjscceo2nTpmbp8ahIFZL7YTQaOXXqFNeuXaNjx45Vupjm5jBYXeHv+vXrpKSk0MDZGcdbejVvDn+3Kg2DpcO+Co0wlPwBRfUwGEqwsalBTdsb+w3eGoKqK/wZjUZ+/fVXiouL6dChQ5VvkXTx4kV69epFeHg4ixcvlvAnxCNGAqB4pCmKwsWLF4mKikKn0/HTTz/x+OOPo9Vq0Wq1NGrUqEzA0+v1xMfH07x5cxo3rtiwZlW7XRWS0jB4LzWVb57P2LFjx0rtVfwrUck7K3Teg4S//Px89Ho9DRs2xMHBocy5dwt/t6pnPIRivGQa8lWMCkUlRRQXFVNSUoxabWMKgyW2TzyS4e/y5cuEhISYhk0l/Anx6JEAKKyGoihcvnwZnU6HTqfj8OHDBAQEEB4ejlar5dtvvyUmJoYvvvjCbHuZ/ZWioiJTGMzMzMTe3t4UBu82lFtcXMwvv/yCWq3G39/frNVW7hQGHyT83Rg+16PRlH8f7iX8wY3eQGfbDgCmcFdKURSKS4opLirmcqY3bo7nsbWtSV3bx6lVq3aFeovvN/yVBveqDn/Jycn06tWL4OBgli9fbvFlGoUQ90cCoLBKiqKQkpLChg0biIyMZP/+/ahUKoYNG8b06dNp1qyZxUx2v5Pi4mLS09PR6/VkZGTcsQpJQUEBsbGx1KlTh7Zt21rUB3ppGLxcEF+h4Aflw19ubi5paam4uLjeKO92kwcJf7dTGggLbQKpVfLjjTCY34K8vDwA6tSpQ926dbGzs0OlKt9rZunhT6/XExoaSufOnVm5cqVF/awIISqXBEBh1YqKihgzZgwHDx7kpZde4vDhw+zdu5cWLVqY6hP7+flZfBi8UxUSR0dHzp8/T4MGDfDz87PoobxdaZv/8pxbw9+1nBzSMzJwdXUtNxxe2eHvZuWHfRUKCgrIy8sjPz+fkpISUxisU6cOarWNxYe/9PR0evfuTevWrVm9erXF1+QWQjwYCYDCqr377rts2bKFbdu24erqiqIoZGVlsXnzZqKioti1axdNmjRBq9XSv39/2rRpY9EhCv5bheTPP/8kLS0NGxsb3N3dLbYKye3cLgzeGv5ysrPJyMzEzc2t3GKWewl/pQtA7j/83UqhqKjIFAaLiorIuT4cFxcXNBpNhRbxVHf4y8zMpE+fPnh7e7Nu3TqLrMEthKhcEgCFVcvLy0NRlDvOn8vJyWHr1q1ERUWxY8cO3Nzc0Gq1hIeH07FjR4sNU1evXiUuLg4vLy8cHR0ttgpJRX3357vAf8NfdnYWV69exc3NvVygMm/4K6+YF03vf3Z2Ng4ODqah+luHrOG/+1sWFBQQEBBQ5WEsKyuLvn374u7ujk6nq9bFQUII85EAKEQF5ebm8v333xMVFcX27dupX7++aZi4S5cuFjNfKjU1lVOnTtGiRQsaNWpkOm5pVUjuh6Io7Ly4jOzsbNzd3ctVZrG08HfrsG9RURFpaWmmRTy1a9c2hUFHR0cURanW8JeTk0N4eDj16tVj06ZND7TFkBDi4SIBUIj7cP36dX744Qd0Oh1btmyhTp069OvXD61WyxNPPGG2+VMVqesL5q1Ccr9K93e8cuUKHTt2xMHBgZ+yvjM9bunh71YlJSVkZGSQmppKenr6jXrFKhUqlYrOnTs/cNnBv5Kbm8uAAQOwtbVl27ZtVbonpBDC8kgAFOIBFRQUsGfPHnQ6HZs2bcLGxoY+ffrQv39/unbtWm1hqrSur7+/P87OzhV+3s1VSPR6PXl5eTg7O+Pq6opGo7GIIUFFUTh37hx6vZ6AgIDbDp2ev/ZlhV7LEsLfrUpKSoiNjSU/Px+VSoXRaESj0aDRaKqkdzY/P59BgwahKArbtm2r1GowQoiHgwRAISpRcXEx0dHRREZGsnHjRoqLi+nTpw/h4eF07969Snp1Kquub6mqqkJyv0rL/GVkZBAQEFChza/vFAYtMfwZjUZOnjzJ9evXCQgIoEaNGmRnZ5uGigsKCmjQoIEpED5oIC8oKGDw4MHk5eWxY8cOHB0dH+j1hBAPJwmAQlSRkpISDh06ZAqDubm59O7dm/DwcJ599tlKGXK7ORx17Njxtj1jD6KyqpDcL6PRyOnTp8nOziYgIOC+AujNYfDBtnr5aw8a/m7tLS7tnS0Ng9euXTMFco1Gc88/Q4WFhQwbNoz09HR27tyJk5PTPT1fCPHokAAoRDUwGAwcPXrUFAbT09Pp1asXWq2WkJCQ+wpu1VnXF+6/Csn9Kg1HeXl5BAQEVErvaVrekgqdV93hr6Kl+UoDeVpaGlevXjV9DzQaDfb29nfdr7K4uJiRI0eSlJTEnj177mmaQFX59NNPWbBgASkpKbRv354lS5bQpUsXczdLCKsgAVBUyHvvvce2bduIi4vD1taWrKyscuckJSUxfvx49u3bh729PREREfz73/8usyBi//79TJs2jfj4eBo3bsybb77JqFGjqu9GLIDRaOTnn38mMjKSDRs2cOXKFf72t7+h1WoJDQ2t0JBcSUkJv/76KyUlJXTo0KHa5+lVtArJ/TIYDJw4cYLCwsIqrVt8u0BYneEvPz+fgICA+7q/4uJiU89gRkYGtWrVMn0P6tWrV+Z7UFJSwpgxY0hISGDv3r1oNJp7vl5lW7t2LSNHjmTZsmUEBgayePFi1q9fT0JCgsWWYhTiUSIBUFTI22+/jZOTE5cvX+bLL78sFwANBgP+/v64ubmxYMECkpOTGTlyJC+99BLvv/8+AImJibRp04Zx48bx4osvsmfPHqZMmcK2bdsICQkxw12ZX+mGv1FRUeh0On7//Xd69OhBv379CAsLw8nJqVyYKioqIi4uDhsbG9q3b2/2ig13qkLi6upaLohU9PXi4uIwGAx06NCh2hbRpOUtoZbhx3sKfnB/4e/UqVOmns3KCLcGg6HMimKVSmU6FhoaypQpU4iLi2Pfvn13XR1enQIDA+ncuTNLly4FbrwvjRs3ZvLkycyePbvKrms0Gsvsf6koisVX+hGiKkgAFPdk5cqVTJkypVwA/P777+nTpw9XrlwxfcAsW7aMWbNmkZaWhq2tLbNmzWLbtm2cOnXK9LwXXniBrKwsduzYUZ23YZEUReH06dNERkai0+k4c+YM3bt3Jzw8nD59+tCgQQMSExOJjIwkJCSENm3aWNzefaVVSErDoEqlMoVBJyenv9x4uqSkhF9+uVHxo0OHDmYLtyXXKzZUbAnh73bXKK1m884775CZmYmdnR3z589n2LBhFrHoo6ioiDp16hAZGUl4eLjpeEREBFlZWWzatKlKrltSUkKNGjXIzc3l5MmTdO7c2ex/QAlhLg9HGQBh8WJiYmjbtm2Z3oWQkBBycnKIj483ndOjR48yzwsJCSEmJqZa22qpVCoVrVu35u233yYuLo5Tp07RvXt3vvrqK5o2bcrTTz/NE088wU8//UTbtm0tLvwB2NjYoNFoaN26NcHBwbRpc2NPvpMnT3LgwAHi4+NJS0vDaDSWe25xcTGxsbGo1Wo6duxo1g/mGnaTTV93O+deVEf4A1Cr1Tg7OzNy5Ej69u2Li4sLo0aNYunSpWg0GrRa7W3f/+qUnp6OwWAo1xvp6upKSkpKlVzTYDBQo0YNMjMz6dq1K9999x0nT54EbvzxJYS1kT99RKVISUm57T/mpY/d7ZycnByuX78uG9HeRKVS4evry+uvv85rr73G1q1bGTJkCA4ODvzwww+Ehoai1Wrp168fjRo1ssghLLVaTYMGDWjQoAEtW7Y0VSE5e/YsJSUlZTaeNhgMxMbGUqtWLdq1a2dR4fbmoFfaM2ip4e/m682cOZPdu3dz+PBhvL29ATh37hzHjx9/aEoAViYbGxvy8vIICgqiQ4cOzJo1Czc3NwDT78+tw8NCPMrkJ92KzZ4921R54E5fZ8+eNXczrd6hQ4cYPnw4b731FleuXCExMZGBAweyZcsWWrVqxbPPPsvHH3/MxYsXLbYnQ6VS4eTkRIsWLXjqqacICAjAzs6OCxcusH//fg4dOmTqAbWk8Herv+oVvB1zhL8333yTzZs3s3v3blP4A/D19WXIkCFVev2KKN3cWq/Xlzmu1+tNoexBXbx4kYyMjDLHFi1ahIuLC9999x0eHh6kpKSwatUq5s2bR3JyMmq12uy9o0JUFwmAVmz69OmcOXPmrl8+Pj4Vei03N7fb/mNe+tjdznF0dJTev7uoV68eH3/8MTNnzkSlUuHp6cmUKVPYv38/SUlJjBgxgt27d9O+fXuCg4P58MMPOX/+vEWHQUdHR5o1a2Za4WtnZ4fRaOTAgQPExsby559/UlRUZO6mPrDqDn+KovCvf/2LtWvXsnv3bpo3b16l17tftra2BAQEsGfPHtMxo9HInj17CAoKeuDXLyoq4plnnkGn05U5bm9vT0lJCb///juLFi1iypQpTJkyhfXr1/PEE0+QmZkpPYDCasgQsBUrrSxQGYKCgnjvvfdITU01beGwa9cuHB0dadWqlemc7du3l3nerl27KuUf/EdZu3btaNeuXbnjKpUKDw8PJk6cyIQJE0hPT2fjxo1ERUUxd+5cWrZsiVarJTw8nJYtW1rcMHF+fj7Hjx+nQYMG+Pn5oVKpTFVI/vzzT86cOYOTk5OpJJ05qpA8CKPRSHx8PLm5uXTq1Klawt+8efNYsWIFe/fupWXLllV6vQc1bdo0IiIi6NSpE126dGHx4sXk5eUxevToB35tW1tbjhw5gpubG4qicPXqVZydnfH09KSkpISuXbtSr149xo0bx/vvv8+lS5d49dVXycnJsYj9EYWoDrIKWFRIUlISmZmZbN68mQULFnDw4EEAmjVrhr29vWkbGA8PD+bPn09KSgojRozgxRdfLLcNzMSJExkzZgx79+7llVdeseptYKpC6Qfe5s2biYqKYteuXXh7e6PVaunfvz+tW7c2ey9HXl4ex48fx9XVFV9f39uG0ztVIXF1dbX4HuPS8Hft2rVqC3+LFi1i0aJF7N27l/bt21fp9SrL0qVLTRtB+/v788knnxAYeG/b8NxJ6fYugwcP5sSJE0RHR+Pi4sLx48dJTk4mODiYunXrYmNjw4YNG5gzZw6bNm2iadOmlXJ9ISydBEBRIaNGjeLrr78ud3zfvn10794dgD/++IPx48ezf/9+6tatS0REBPPmzSu3EfTUqVM5ffo0jz32GHPmzLG6jaCrW3Z2Nlu3bkWn07Fjxw7c3d1NPYMdOnSo9jB47do1YmNjadSoEU2bNq1Qz2R1VyF5EIqimCq0VFf4W7p0KR988AE7d+6kU6dOVXo9S2cwGMrMI01ISECr1eLk5IROp8PDw8P0mF6v5+jRo0RERPD2228zdepUczRZCLOQACiEFcnNzWX79u3odDq2b9+Os7Mz/fr1Izw8nM6dO1f5AoycnBxiY2Px9PSs8PzSW1V1FZIHcXP4q6zydX91veXLl/Puu++yY8cOHn/88Sq93sNk5syZjB8/Hm9vb5KSkggJCcHe3p7IyEiaNGlCcnIy77//PgcOHGDo0KHMmjXL3E0WolpJABTCSuXn57Nz506ioqLYunUrdevWpW/fvoSHhxMUFFTp+/BlZWXxyy+/4OPjQ5MmTSrlNW+tQmJra3vHcmhVTVEU4uPjycnJqbbwt3LlSl577TW2bdtG165dq/R6D5PDhw/z7LPPcunSJdM85z///JNevXpRs2ZNdDodXl5eHD16lMLCQrp162bmFgtR/SQACiEoKChgz549REVFsXnzZmrUqEGfPn3o378/Tz311AOXY8vMzCQuLo7mzZvTuHHjSmp1WQ9aheRBmCP8rVq1ihkzZrBlyxbTNAxrdeuw7/Xr1/H392f58uV069bN9HhKSgp9+/bl2rVrbN68GV9fXzO2WgjzkgAohCijuLiY/fv3ExkZycaNGzEYDPTp04fw8HC6d+9+z3Pa0tPTOXHiBC1btiwz/6oqGY1Grl69apo3qCgKGo0GFxcXGjRoUKlh0Bzhb926dUyePBmdTkfPnj2r9HoPkz/++IMmTZpgNBpp1aoVY8aMYebMmWXOSUtLo0uXLkyfPp1JkyaZqaVCmJ8EQPHI8vLy4o8//ihz7N///neZQvMnTpxg4sSJHDt2DI1Gw+TJk8t9YFizkpISDh06xPr169m4cSN5eXmEhYWh1Wrp0aPHX27NkpqaysmTJ2ndunWlbfB7rxRFMVUhSU1NLVeF5EHmPZaGv+zsbDp16lTl4Q9Ap9Mxbtw41q5dS1hYWJVf72Hxxhtv8NFHH9GqVSvs7OxQFIWGDRvy4osvEhAQgIODAw4ODgAUFhZWy/dKCEsmAVA8sry8vBg7diwvvfSS6ZiDgwN169YFbixI8PX1pUePHrz22mucPHmSMWPGsHjxYl5++WVzNdtiGQwGYmJiiIqKYsOGDWRmZtKrVy+0Wi09e/Y0va+lUlJSiI+Pp23btqa9Ic1NURSuXbtmCoMFBQVlwuC9DHUrisLp06fJysqqtvC3detWRo8ezerVqwkPD6/y6z1MYmJiqFmzJomJiRw7doxjx44RHR1N06ZNKSwspLCwEHd3dz755BOCg4PN3VwhzE4CoHhkeXl5mXb6v53PP/+cN954g5SUFNOw5uzZs9m4caOUwPsLRqORY8eOmcLglStX6NmzJ1qtltDQUFasWMGxY8dYtGgRDRs2NHdzb0tRFPLy8khNTUWv15OXl4ezs7Np4+m7DXWbI/zt2LGDkSNHsmLFCp577rkqv54lq0jN3hUrVvD+++9z+PBhLl++zKlTpyguLmbs2LHV1EohLJsEQPHI8vLyoqCggOLiYjw9PRk6dChTp041rW4dOXIkOTk5bNy40fScffv28cwzz5CZmUn9+vXN1PKHi9Fo5NdffyUyMhKdTseFCxdQFIVx48bx+uuvV/tq3PtVWoUkNTWVnJycO1YhuTn8BQQEVEuFkr179/LCCy+wfPlyhgwZ8lC8n1Xl5gUfO3bsoKCgAJVKhVarBW7MYa1Zsybnzp0jJCSE6OhoPD09zdlkISySlIITj6xXXnmFjh074uzszJEjR3jttddITk7mo48+Am4MUXp7e5d5jqurq+kxCYAVo1ar6dChAx06dKB+/fr885//ZNCgQRw8eBBvb2+6d+9OeHg4ffr0wdnZ2WLDS506dfDy8jL94VDaM5iQkGCqQuLi4kJiYmK1hr8DBw4wZMgQli5davXhT1EUU/ibNGkSO3fuRKVSoVarWbNmDWvXrjUN4zdo0IDs7GyOHDkiAVCI25Cq1+KhMnv2bFQq1V2/Sodvp02bRvfu3WnXrh3jxo1j4cKFLFmyhMLCQjPfxaPpq6++Yt68eezbt4+vvvqKuLg4Tpw4Qbdu3fjyyy/x8fGhb9++fPHFF+j1eix58KF27dp4enrSqVMngoOD8fDwIDMzk8OHD5OcnIxGo6GkpKTK23HkyBGef/55Fi5cSEREhFWHP8B0/++88w6bNm1Cp9ORkJBA//79Wb9+PT179qS4uBi4EQAfe+wxcnNzzdlkISyWDAGLh0paWhoZGRl3PcfHx+e287fi4+Np06YNZ8+epUWLFjIEXMkyMzNJSUmhVatW5R5TFIXExESioqLQ6XT8/PPPBAUFodVq6devHx4eHhYdbhRF4cyZM2RkZNCkSRMyMzOrvArJTz/9RHh4OHPnzmXixIkW/f5UpwsXLjBz5kzGjRtHz549WbNmDRMmTOAf//gHn3/+OW3btmXDhg3Url2bbdu2yUppIe5AAqCwGqtXr2bkyJGkp6dTv3590yIQvV5vGjZ6/fXX0el0sgikCimKwqVLl9DpdOh0Oo4cOULnzp1NJek8PT0tKuyUhr/MzEw6depkGvYtrUKi1+tJT0+v1CoksbGx9O3bl7feeospU6ZY1PthbkajkW+++Ya+ffty8uRJhg8fzrx58xg2bBgzZ87kww8/pFmzZpw6darK6zAL8TCTIWDxSIqJiWHx4sX8+uuv/P7776xevZqpU6cyfPhwU8/e0KFDsbW1ZezYscTHx7N27Vo+/vhjpk2bZubWP9pUKhWenp5MmTKF6OhokpKSGD58OLt27aJdu3YEBwezcOFC02ISc7pT+AOwsbHB1dWVdu3a0a1bN1q0aEFxcTFxcXEcPHiQs2fPkpmZidFovKdrnjhxAq1Wy+zZsy0i/Hl5eZWbZjFv3rwy55w4cYKuXbtSu3ZtGjduzPz58x/omqXf91t7+xVFQa1WExERgbOzM/v376dr164MGDAAgMaNG/P3v/+d8PBwCX9C/AXpARSPpNjYWCZMmMDZs2cpLCzE29ubESNGMG3atDJbdty8EXTDhg2ZPHmyFIU3E0VRSE9PZ8OGDURFRbFv3z5atmxJeHg4Wq2Wli1bVntt3zuFv7t5kCokp0+fJjQ0lMmTJzNnzhyzhz8w336aJ0+eJCwsjJ9++umOm4iPGDGCkydPEhcXR3Z2Ns8//zy9e/fm1Vdfve/rCmEtJAAKISyOoihcvXrVNNF/165d+Pj4oNVq6d+/P61atary2r5nz54lIyPjnsLf7V6nolVIEhISCA0NZezYscydO9ciwh+Ybz/NI0eOMHjwYE6cOHHH+bhHjx6lX79+1K1bl9q1a1O3bl1+/vnn+76mENZEAqAQwuJlZ2ezZcsWdDodP/zwAx4eHqaeQX9//0qv7Vsa/gICArCzs6u01721CsmpU6eoVasWnTp1YsiQIQwdOpQPPvigSsPtvTLXfppFRUU0b96chQsXMmjQoDueEx8fz4YNG6hfvz5Tp069r2sJYY1kH0AhhMWrV68ew4cPZ/jw4eTm5rJ9+3aioqIIDQ2lYcOGpgUknTt3fqDwVFXhD27MfXR0dMTR0ZFmzZqRl5fHL7/8wrJly0hKSqJJkyb4+vqSkZGBRqOptOs+qOrYT/PWyh5GoxFFUXB3dycxMfGOz7O1tTXtQSmEuDeW82emEEJUgL29Pc8//zxr165Fr9fz0UcfkZGRwYABA/Dz82PGjBkcOnQIg8FwT69bGv7S09MrPfzdSqVSYW9vz+DBg1Gr1QwePJjx48fzxRdf4OHhwfjx46vs2mB5+2mq1WouXLjA+vXruXz5MteuXaNWrVoMGDCA2NhYgDt+P2UQS4j7I0PAQpjRp59+yoIFC0hJSaF9+/YsWbKELl26mLtZD6WCggJ2796NTqdj06ZN1KxZk759+9K/f3+efPJJ01Y/t3Nz+OvUqVOVhr9SycnJhISE0K1bN5YvX26aD3jp0iWSk5Or9OfAkvbTVBSF/Px8+vXrR2xsLBqNhuzsbIKCgoiLi8POzo7jx49Tp06dMmXghBAPRgKgEGaydu1aRo4cybJlywgMDGTx4sWsX7+ehIQEXFxczN28h1pxcTH79u0jKiqKjRs3YjAY6NOnD+Hh4XTv3r1MsFEUhYSEBNLS0qot/On1ekJDQ+nSpQsrVqx4qEJNVe2nmZGRQb169Th9+jQ///wzmZmZ7Nmzhz/++IO2bdvyxRdf4ODgICFQiEoiAVAIMwkMDKRz584sXboUuDHvqXHjxkyePJnZs2ebuXWPjpKSEg4ePEhkZCQbN24kPz+fsLAw+vXrxzPPPMOkSZNwd3fnzTffrJbwl56eTu/evWnTpg2rVq0yLaawRDExMfz44488/fTTODg4EBMTw9SpUwkNDeXrr78GbizQadGiBT179mTWrFmcOnWKMWPGsGjRonvaBubWeYAAhYWFREVFsXjxYho1asTXX3+No6Pjbc8VQtwbCYBCmEFRURF16tQhMjKS8PBw0/GIiAiysrLYtGmT+Rr3CDMYDBw5csRUki4lJQW1Ws3cuXMZNWoUderUqdLrZ2ZmEhYWRtOmTVm7du1dh6UtgTn201QUBZVKZQp5RUVFrF27luXLl6MoCtu2baNevXqVdYtCWC3L/dNTiEdYeno6BoPBtFqylKurq5Shq0I2NjZ07dqVp556CqPRyPr16+nTpw/Lli3jnXfe4W9/+xvh4eH06tULBweHSr12VlYWWq0WT09PvvvuO4sPfwAdO3bk6NGjf3leu3btOHjwYKVcs3T/Q7VajaIo2NraMnToUIqKiti+ffs9V1YRQtye9KELIazO3Llz2bhxI4cPH+Z///d/OXfuHAcOHMDPz4958+bh5eXF4MGDWbNmDVlZWQ+80jQnJ4cBAwag0WhYv369lCmrIJVKhaIo2NjYMHr0aFatWnXf+woKIcqSIWAhzECGgM3rt99+Q6VS4ePjU+4xRVGIj48nMjISnU5HQkICTz/9NOHh4YSFheHs7HxPVTpyc3MZMGAAtWrVYuvWrdUyz/BRUzosLISoPBIAhTCTwMBAunTpwpIlS4Abk+A9PT2ZNGmSLAKxEIqicO7cOaKiooiKiuLEiRMEBwej1Wrp27cvLi4udw0m+fn5DBo0yDR3zd7evhpbL4QQdyYBUAgzWbt2LREREfzP//wPXbp0YfHixaxbt46zZ8+WmxsozE9RFH7//XfTApLjx48TFBSEVqtFq9Xi7u5eJgwWFBQwePBg8vLy2LFjB46OjmZsvRBClCUBUAgzWrp0qWkjaH9/fz755BMCAwPN3SzxFxRF4dKlS0RFRbFhwwZiYmLo3LmzqSSdq6srw4YNIz09nZ07d+Lk5GTuJgshRBkSAIUQ4gEoisKVK1fYsGEDOp2OAwcO4ODggIuLCzExMTg7O5u7iUIIUY4EQCFuUforIZPOxb1SFIW0tDRmzZrF9OnTadOmjbmbJIQQtyUBUIib5OXlUbduXXM3QwghhKhSsg+gEDcZO3YsL774IoWFhaZjpRvPyt9KQgghHhUSAIW4ycSJE1m3bh0FBQXAjdCnVqtJSUmxiiHhd955B5VKVearZcuWpscLCgqYOHEiDRo0wN7enoEDB6LX683YYiGEEPdDAqAQN2nUqBGNGzdm+/btwI1NfD/++GN8fHz4/PPPzdy66tG6dWuSk5NNX4cOHTI9NnXqVLZs2cL69euJjo7mypUrDBgwwIytFUIIcT+kFrAQ/89oNOLj44OTkxOnT58mOzubESNGcP78eT788EPGjx8PPPpVCWrUqIGbm1u549nZ2Xz55ZesWbOGZ555BoAVK1bg5+fH0aNHefzxx6u7qUIIIe6T9AAK8f/U6hu/DhMnTiQqKoo2bdqQkZHBt99+y4QJE4AbIfF24U9RlEdmjuD58+fx8PDAx8eHYcOGkZSUBMDx48cpLi6mR48epnNbtmyJp6cnMTEx5mquEEKI+yABUAj+u9AjOTmZ+Ph4zp49S/fu3dm6dSv+/v6m80pD4q1K58sZjUYMBkN1NLlKBAYGsnLlSnbs2MHnn39OYmIiXbt25dq1a6SkpGBra1tuU2NXV1dSUlLM02Ar9d577/HEE09Qp06dO24ynZSURFhYGHXq1MHFxYV//OMflJSUlDln//79dOzYkVq1atGsWTNWrlxZ9Y0XQlgEGQIWVs9gMGBjY8PFixd57rnnaNiwIQCdO3emfv36FBcXU7Nmzds+t6SkhJ07d5KWlkaPHj1o1KhRdTa90oWGhpr+u127dgQGBtKkSRPWrVuHnZ2dGVsmblZUVMRzzz1HUFAQX375ZbnHDQYDYWFhuLm5ceTIEZKTkxk5ciQ1a9bk/fffByAxMZGwsDDGjRvH6tWr2bNnDy+++CLu7u6EhIRU9y0JIaqZ9AAKq2djY8OBAwcIDg7GycmJFStWMGbMGHbv3o3BYLhj+AP47bffOHz4MF9++SV+fn48++yzHDt2rNx5dxsetuShYycnJ3x9fblw4QJubm4UFRWRlZVV5hy9Xn/bOYOi6rz77rtMnTqVtm3b3vbxnTt3cvr0aVatWoW/vz+hoaH861//4tNPP6WoqAiAZcuW4e3tzcKFC/Hz82PSpEkMGjSIRYsWVeetCCHMRAKgsGolJSX8/e9/Z/jw4fTu3Zvt27fj5ubGwIEDOXDgAHl5eXd9vq+vL2+99RYHDhzgt99+o3bt2ixbtsz0IZudnU1ycrJpeLiU0WgsU3Hk66+/pri4uOpu9D7l5uby22+/4e7uTkBAADVr1mTPnj2mxxMSEkhKSiIoKMiMrRS3iomJoW3btri6upqOhYSEkJOTQ3x8vOmcm+dzlp4j8zmFsA4SAIVVU6lUtG3blkWLFvHZZ59Rs2ZNFEWhRYsWuLm5mbaDuR2j0cj58+f5z3/+w759+9BoNCxYsIDvv/+e33//HYDU1FQCAwP55ptvyswfVKvVpsUker2euXPnWsQH74wZM4iOjubixYscOXKE/v37Y2Njw5AhQ6hXrx5jx45l2rRp7Nu3j+PHjzN69GiCgoJkBbCFSUlJKRP+ANP/l87XvNM5OTk5XL9+vXoaKoQwG5kDKKyajY0NkyZNKnfcx8cHZ2dnoqOjeeGFF2679cvixYuZP38+zZs3R6/Xc/XqVVq2bElGRga+vr4ANG/enMDAQPbs2cOIESMA+Oqrr0hNTWX8+PE4ODjg6urK+fPny/QQmsvly5cZMmQIGRkZaDQannrqKY4ePYpGowFg0aJFqNVqBg4cSGFhISEhIXz22WdmbvWjYfbs2XzwwQd3PefMmTNlNuYWQoj7JQFQiFuUBr1//vOfbNy4scyxUgUFBSxevJhx48YxYcIE7OzsOHHiBCNGjCAkJARFUTAajajVakaNGsXo0aM5d+4c33zzDR9++CEvvfQSKpUKtVrNe++9x5gxY3B3dzc9B24MT6vV6juuPK4K33333V0fr127Np9++imffvppNbXIekyfPp1Ro0bd9RwfH58KvZabmxs//fRTmWOlFVtK52u6ubmVq+Ki1+txdHSUBT9CWAEJgELcQY8ePcrNkSpVUFBAVlYWHh4euLi4AKDRaMjLy6Nbt27Y2NiYevR8fX3x8/Ojf//+1KxZkzVr1tC/f38A4uPjmTNnDp06dcLd3R21Wk1qaiouLi7UqCG/ntZEo9GYelofVFBQEO+9957pZwlg165dODo60qpVK9M5t05x2LVrl8znFMJKyCeMEPehbt26vPrqq7zxxhskJibi7u7ORx99REFBgWkrldKeu6ioKA4ePIifnx/ffvstfn5+pq1nVq1aRatWrQgMDCQ3N5c1a9bwn//8h6SkJIKDg3nllVfo0qWLOW9VWKCkpCQyMzNJSkrCYDAQFxcHQLNmzbC3t6dnz560atWKESNGMH/+fFJSUnjzzTeZOHEitWrVAmDcuHEsXbqUmTNnMmbMGPbu3cu6devYtm2bGe9MCFFtFCHEfTEYDMrq1auVvn37KkuXLlU6d+6stGvXTsnPz1cURVH+/PNPZdy4cYpGo1EmTJigtG7dusxzFUVRvLy8lKlTpyqKoihr1qxRmjVrprz77rvKzp07lSFDhijBwcHKvn37qv3ehGWLiIhQgHJfN/+sXLx4UQkNDVXs7OyUhg0bKtOnT1eKi4vLvM6+ffsUf39/xdbWVvHx8VFWrFhRvTcihDAbCYBCVJLo6GglMjJSURRFWblypdK8eXOla9euyqFDh5SEhATlscceU6Kjo03n//bbb4pKpVJ27typKIqifP/990rTpk2VCxcumM7Zvn2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+ "text/html": [ + "\n", + "
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\n", + " Figure\n", + "
\n", + " \n", + "
\n", + " " + ], + "text/plain": [ + "Canvas(toolbar=Toolbar(toolitems=[('Home', 'Reset original view', 'home', 'home'), ('Back', 'Back to previous …" + ] + }, + "metadata": {}, + "output_type": "display_data" + } + ], + "source": [ + "field_params = sp.symbols(\"n m\")\n", + "n, m = field_params\n", + "data = sp.Array([1*n, -2*m, 0])\n", + "linear_scalar_field = SymbolicScalarField.create_linear(data, field_params=field_params)\n", + "display(linear_scalar_field)\n", + "try:\n", + " linear_scalar_field.plot()\n", + "except ValueError as e:\n", + " print(f\"Error occurred while plotting: {e}\")\n", + " \n", + "linear_scalar_field.subs_field_params({n: 3})\n", + "display(linear_scalar_field)\n", + "try:\n", + " linear_scalar_field.plot()\n", + "except ValueError as e:\n", + " print(f\"Error occurred while plotting: {e}\")\n", + "\n", + "linear_scalar_field.subs_field_params({m: 0})\n", + "display(linear_scalar_field)\n", + "try:\n", + " linear_scalar_field.plot()\n", + "except ValueError as e:\n", + " print(f\"Error occurred while plotting: {e}\")\n", + "\n" + ] + }, + { + "cell_type": "code", + "execution_count": 8, + "metadata": {}, "outputs": [ { "data": { "text/plain": [ "SymbolicScalarField(\n", "r + 2*theta + 3*z,\n", - "[r, theta, z]\n", - ")" + "(r, theta, z),\n", + "[])" ] }, "metadata": {}, @@ -159,7 +328,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "68a90a6c50cd4c518b8b4a90f91b040b", + "model_id": "fb93b220c48e47e7b3a4b650ea9e095b", "version_major": 2, "version_minor": 0 }, @@ -192,7 +361,7 @@ }, { "cell_type": "code", - "execution_count": 7, + "execution_count": 9, "metadata": {}, "outputs": [ { @@ -200,8 +369,8 @@ "text/plain": [ "SymbolicScalarField(\n", "3*phi + r + 2*theta,\n", - "[r, theta, phi]\n", - ")" + "(r, theta, phi),\n", + "[])" ] }, "metadata": {}, @@ -210,7 +379,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "f1e8c614bdcc49ca8ab752bca25a9e21", + "model_id": "81efbf345c6447d7b8d987c8b1ed5b09", "version_major": 2, "version_minor": 0 }, @@ -243,7 +412,7 @@ }, { "cell_type": "code", - "execution_count": 8, + "execution_count": 10, "metadata": {}, "outputs": [ { @@ -251,8 +420,8 @@ "text/plain": [ "SymbolicVectorField(\n", "[3*phi + r + 2*theta, 6*phi + 4*r + 5*theta, 9*phi + 7*r + 8*theta],\n", - "[r, theta, phi]\n", - ")" + "(r, theta, phi),\n", + "[])" ] }, "metadata": {}, @@ -261,7 +430,7 @@ { "data": { "application/vnd.jupyter.widget-view+json": { - "model_id": "ad2332a9dee349558a9796a46b77d543", + "model_id": "44974ab30e294fb8b312595e294535f3", "version_major": 2, "version_minor": 0 }, diff --git a/src/mechpy/core/symbolic/coord.py b/src/mechpy/core/symbolic/coord.py index bc5b19a..58495da 100644 --- a/src/mechpy/core/symbolic/coord.py +++ b/src/mechpy/core/symbolic/coord.py @@ -12,8 +12,8 @@ def __repr__(self): class SymbolicCartesianCoordSystem(SymbolicCoordSystem): def __init__(self, basis_symbols=None): - origin = sp.ImmutableDenseNDimArray([0, 0, 0]) - basis_symbols = basis_symbols or [sp.symbols(_) for _ in ["x", "y", "z"]] + origin = (0, 0, 0) + basis_symbols = basis_symbols or sp.symbols("x y z") super().__init__(origin, basis_symbols) def get_basis_cylindrical_exprs(self) -> dict: @@ -59,8 +59,8 @@ def get_spherical_coord(self, values): class SymbolicCylindricalCoordSystem(SymbolicCoordSystem): def __init__(self, basis_symbols=None): - origin = sp.ImmutableDenseNDimArray([0, 0, 0]) - basis_symbols = basis_symbols or [sp.symbols(_) for _ in ["r", "theta", "z"]] + origin = (0, 0, 0) + basis_symbols = basis_symbols or sp.symbols("r theta z") super().__init__(origin, basis_symbols) def get_basis_cartesian_exprs(self, cartesian_basis_symbols=None) -> dict: @@ -97,8 +97,8 @@ def get_cartesian_coords(self, values): class SymbolicSphericalCoordSystem(SymbolicCoordSystem): def __init__(self, basis_symbols=None): - origin = sp.ImmutableDenseNDimArray([0, 0, 0]) - basis_symbols = basis_symbols or [sp.symbols(_) for _ in ["r", "theta", "phi"]] + origin = (0, 0, 0) + basis_symbols = basis_symbols or sp.symbols("r theta phi") super().__init__(origin, basis_symbols) def get_basis_cartesian_exprs(self, cartesian_basis_symbols=None) -> dict: diff --git a/src/mechpy/core/symbolic/field.py b/src/mechpy/core/symbolic/field.py index 016c0f0..5b18ec3 100644 --- a/src/mechpy/core/symbolic/field.py +++ b/src/mechpy/core/symbolic/field.py @@ -17,24 +17,124 @@ def __init__(self, data, coord_system, field_params=None): if isinstance(coord_system, SymbolicCoordSystem): self.data = data self.coord_system = coord_system - self.field_params = field_params or [] + self.field_params = list(field_params or []) + self.validate_field() else: raise ValueError("coord system must be a SymbolicCoordSystem") def __repr__(self): - return f"{self.__class__.__name__}(\n{self.data},\n{self.coord_system.basis_symbols}\n)" + return f"{self.__class__.__name__}(\n{self.data},\n{self.coord_system.basis_symbols},\n{self.field_params})" + + def validate_field(self): + self.validate_field_params() + self.validate_basis_symbols() + + def validate_field_params(self): + if self.field_params: + field_param_symbols = set(self.field_params) + basis_symbols = set(self.coord_system.basis_symbols) + + if not field_param_symbols.isdisjoint(basis_symbols): + raise ValueError( + "Field parameters must not overlap with coordinate system basis symbols." + ) + + def validate_basis_symbols(self): + """ + Validates that all free symbols in the field data are either part of the + coordinate system's basis symbols or the field parameters. + + Raises a ValueError if there are any symbols in the field data that are + not included in either the basis symbols of the coordinate system or the + field parameters. + + This ensures that the field data is properly defined with respect to the + coordinate system and any additional parameters. + """ + basis_symbols = set(self.coord_system.basis_symbols) + field_param_symbols = set(self.field_params) + valid_symbols = basis_symbols.union(field_param_symbols) + + free_symbols = ( + self.data.free_symbols + if isinstance(self.data, sp.Expr) + else set().union(*[element.free_symbols for element in self.data]) + ) + + invalid_symbols = free_symbols - valid_symbols + if invalid_symbols: + raise ValueError( + "The field data contains symbols not in the basis or field parameters: " + + ", ".join(str(symbol) for symbol in invalid_symbols) + ) + + def subs_field_params(self, param_values): + """ + Substitute the provided field parameters with specific values, and + remove them from self.field_params. Raise an error if a parameter in + param_values is not in self.field_params. + + :param param_values: A dictionary mapping parameters to their values. + :return: None. The method updates self.data and self.field_params in place. + """ + if not isinstance(param_values, dict): + raise TypeError("param_values must be a dictionary") + + # Perform the substitution for provided parameters + for param, value in param_values.items(): + if param in self.field_params: + self.data = self.data.subs(param, value) + self.field_params.remove(param) + else: + raise ValueError(f"Parameter {param} not found in field parameters") + + def to_cartesian(self): + """ + Converts the scalar field from its current coordinate system + (cylindrical or spherical) to the Cartesian coordinate system. + + Returns: + SymbolicScalarField: A new instance of SymbolicScalarField in the + Cartesian coordinate system. + + Raises: + ValueError: If the current coordinate system is not cylindrical or spherical. + """ + if not isinstance( + self.coord_system, + (SymbolicCylindricalCoordSystem, SymbolicSphericalCoordSystem), + ): + raise ValueError( + "Conversion to Cartesian is only implemented for cylindrical and spherical coordinate systems." + ) + expr_dict = self.coord_system.get_basis_cartesian_exprs() + cartesian_data = self.data.subs(expr_dict) + cartesian_coord_system = SymbolicCartesianCoordSystem() + return SymbolicScalarField( + cartesian_data, cartesian_coord_system, self.field_params + ) def to_cylindrical(self): - if isinstance(self.coord_system, SymbolicCartesianCoordSystem): - expr_dict = self.coord_system.get_basis_cylindrical_exprs() - else: + if not isinstance(self.coord_system, SymbolicCartesianCoordSystem): raise NotImplementedError( "Conversion from non-Cartesian systems is not implemented" ) - + expr_dict = self.coord_system.get_basis_cylindrical_exprs() cylindrical_data = self.data.subs(expr_dict) cylindrical_coord_system = SymbolicCylindricalCoordSystem() - return self.__class__(cylindrical_data, cylindrical_coord_system) + return self.__class__( + cylindrical_data, cylindrical_coord_system, self.field_params + ) + + def to_spherical(self): + if not isinstance(self.coord_system, SymbolicCartesianCoordSystem): + raise NotImplementedError( + "Conversion from non-Cartesian systems is not implemented" + ) + expr_dict = self.coord_system.get_basis_spherical_exprs() + spherical_data = self.data.subs(expr_dict) + spherical_coord_system = SymbolicSphericalCoordSystem() + return self.__class__(spherical_data, spherical_coord_system, self.field_params) class SymbolicField3D(SymbolicField): @@ -47,6 +147,24 @@ def __init__(self, data, coord_system, field_params=None): else: raise ValueError("Input data must be a SymPy Expr or SymPy Array") + def lambdify(self): + """ + Converts the symbolic field data into a lambda function for numerical evaluation. + If the field is not in Cartesian coordinates, it first converts it to Cartesian. + + Returns: + function: A lambda function for numerical evaluation of the field. + """ + # Ensure the field is in Cartesian coordinates + if not isinstance(self.coord_system, SymbolicCartesianCoordSystem): + field_in_cartesian = self.to_cartesian() + else: + field_in_cartesian = self + + basis_symbols = field_in_cartesian.coord_system.basis_symbols + data = field_in_cartesian.data + return sp.lambdify(basis_symbols, data, "numpy") + class SymbolicScalarField(SymbolicField3D): shape = (3,) @@ -74,24 +192,17 @@ def create_linear(cls, data, coord_system=None, field_params=None): return cls(scalar_field, coord_system, field_params) def plot(self, x_limits=[-100, 100], y_limits=[-100, 100], z_limits=[-100, 100]): - x, y, z = sp.symbols("x y z") + if self.field_params: + raise ValueError( + "Cannot plot field with unresolved parameters: " + + ", ".join(str(p) for p in self.field_params) + ) x_vals = np.linspace(*x_limits, 100) y_vals = np.linspace(*y_limits, 100) X, Y = np.meshgrid(x_vals, y_vals) - if isinstance(self.coord_system, SymbolicCartesianCoordSystem): - data = self.data - elif isinstance( - self.coord_system, - (SymbolicCylindricalCoordSystem, SymbolicSphericalCoordSystem), - ): - expr_dict = self.coord_system.get_basis_cartesian_exprs() - data = self.data.subs(expr_dict) - else: - raise ValueError("Unsupported coordinate system. The coordinate system.") - - f = sp.lambdify((x, y, z), data, "numpy") + f = self.lambdify() fig = plt.figure() ax = fig.add_subplot(111, projection="3d") @@ -160,19 +271,7 @@ def plot(self, x_limits=[-100, 100], y_limits=[-100, 100], z_limits=[-100, 100]) z_vals = np.linspace(*z_limits, 10) X, Y, Z = np.meshgrid(x_vals, y_vals, z_vals) - if isinstance(self.coord_system, SymbolicCartesianCoordSystem): - data = self.data - elif isinstance( - self.coord_system, - (SymbolicCylindricalCoordSystem, SymbolicSphericalCoordSystem), - ): - expr_dict = self.coord_system.get_basis_cartesian_exprs() - data = self.data.subs(expr_dict) - else: - raise ValueError("Unsupported coordinate system. The coordinate system.") - - # Convert the symbolic expressions to numerical functions - f = sp.lambdify(sp.symbols("x y z"), data, "numpy") + f = self.lambdify() # Evaluate the function at each point in the grid U, V, W = f(X, Y, Z)