{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "# Non-uniform fast Fourier transform (NUFFT)\n", "TensorFlow MRI provides an efficient NUFFT operator for both CPU and GPU, based\n", "on the algorithms by the Flatiron Institute (see\n", "[this paper](https://doi.org/10.1137/18M120885X) and\n", "[this paper](https://doi.ieeecomputersociety.org/10.1109/IPDPSW52791.2021.00105)\n", "for more details). The operator is available as\n", "[`tfmri.signal.nufft`](https://mrphys.github.io/tensorflow-mri/api_docs/tfmri/signal/nufft/).\n", "\n", ":::{note}\n", "The `tfmri.signal.nufft` function is an alias of the `nufft` function in the\n", "[TensorFlow NUFFT](https://mrphys.github.io/tensorflow-nufft/)\n", "stand-alone package. Please direct any issues about the NUFFT function directly\n", "to the TensorFlow NUFFT [repository](https://github.com/mrphys/tensorflow-nufft/).\n", ":::\n", "\n", ":::{warning}\n", "The current NUFFT implementation uses the [FFTW](https://www.fftw.org/) library,\n", "which is released under the GNU GPL. If you are using the NUFFT for commercial\n", "purposes, you will need to purchase a license from MIT or adapt the code to use\n", "a different FFT library. If you do the latter, please consider\n", "[contributing](https://mrphys.github.io/tensorflow-mri/guide/contribute/)\n", "your modification so others may benefit.\n", ":::\n", "\n", "The NUFFT function can be used to efficiently evaluate the Fourier transform\n", "when either the input data or the output data does not lie on a uniform grid,\n", "in which case the standard fast Fourier transform (FFT) algorithm cannot be\n", "used. There are 3 transform types depending whether the input is non-uniform,\n", "the output is non-uniform or both input and output are non-uniform.\n", "\n", "- A **type-1** transform evaluates the Fourier transform on a uniform grid\n", " given a set of arbitrary points (i.e, non-uniform to uniform).\n", "- A **type-2** transform evaluates the Fourier transform on a set of arbitrary\n", " points given a uniform grid. (i.e., uniform to non-uniform).\n", "- A **type-3** transform evaluates the Fourier transform on a set of arbitrary\n", " points given a set of arbitrary points (i.e., non-uniform to non-uniform).\n", "\n", ":::{tip}\n", "The type of the transform can be specified using the `transform_type` argument.\n", ":::\n", "\n", ":::{warning}\n", "NUFFT type-3 is not currently supported or planned, but contributions will be\n", "accepted.\n", ":::\n", "\n", "The NUFFT may be **forward** (signal to frequency domain) or **backward**\n", "(frequency to signal domain), regardless of the transform type.\n", "\n", ":::{tip}\n", "The direction of the transform can be specified using the `fft_direction`\n", "argument.\n", ":::" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "## Guided example\n", "As an example, let's take an image of the Shepp-Logan phantom and evaluate its\n", "Fourier transform on a set of sampling points defining a radial *k*-space\n", "trajectory, using a forward, type-2 NUFFT. Then we will see how to recover\n", "the image from the radial *k*-space data, using a backward, type-1 NUFFT." ] }, { "cell_type": "code", "execution_count": 1, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "\u001b[33mWARNING: You are using pip version 22.0.4; however, version 22.2 is available.\n", "You should consider upgrading via the '/usr/local/bin/python3.8 -m pip install --upgrade pip' command.\u001b[0m\u001b[33m\n", "\u001b[0mNote: you may need to restart the kernel to use updated packages.\n" ] } ], "source": [ "%pip install -q tensorflow tensorflow-mri" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Now import both packages and create an example image using\n", "[`tfmri.image.phantom`](https://mrphys.github.io/tensorflow-mri/api_docs/tfmri/image/phantom/):" ] }, { "cell_type": "code", "execution_count": 2, "metadata": {}, "outputs": [ { "name": "stderr", "output_type": "stream", "text": [ "2022-07-21 17:25:43.649824: I tensorflow/core/util/util.cc:169] oneDNN custom operations are on. You may see slightly different numerical results due to floating-point round-off errors from different computation orders. To turn them off, set the environment variable `TF_ENABLE_ONEDNN_OPTS=0`.\n", "2022-07-21 17:25:59.264266: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.268928: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.269048: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.269524: I tensorflow/core/platform/cpu_feature_guard.cc:193] This TensorFlow binary is optimized with oneAPI Deep Neural Network Library (oneDNN) to use the following CPU instructions in performance-critical operations: AVX2 AVX512F AVX512_VNNI FMA\n", "To enable them in other operations, rebuild TensorFlow with the appropriate compiler flags.\n", "2022-07-21 17:25:59.270142: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.270251: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.270327: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.612269: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.612401: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.612481: I tensorflow/stream_executor/cuda/cuda_gpu_executor.cc:975] successful NUMA node read from SysFS had negative value (-1), but there must be at least one NUMA node, so returning NUMA node zero\n", "2022-07-21 17:25:59.612559: I tensorflow/core/common_runtime/gpu/gpu_device.cc:1532] Created device /job:localhost/replica:0/task:0/device:GPU:0 with 14239 MB memory: -> device: 0, name: NVIDIA GeForce RTX 3080 Laptop GPU, pci bus id: 0000:01:00.0, compute capability: 8.6\n" ] }, { "name": "stdout", "output_type": "stream", "text": [ "image: \n", " - shape: (256, 256)\n", " - dtype: \n" ] } ], "source": [ "import tensorflow as tf\n", "import tensorflow_mri as tfmri\n", "\n", "# Create\n", "image_shape = [256, 256]\n", "image = tfmri.image.phantom(shape=image_shape, dtype=tf.complex64)\n", "\n", "print(\"image: \\n - shape: {}\\n - dtype: {}\".format(image.shape, image.dtype))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Let us also create a *k*-space trajectory. In this example we will create a\n", "radial trajectory." ] }, { "cell_type": "code", "execution_count": 3, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "trajectory: \n", " - shape: (119296, 2)\n", " - dtype: \n", " - range: [-3.1415927410125732, 3.141521453857422]\n" ] } ], "source": [ "trajectory = tfmri.sampling.radial_trajectory(\n", " base_resolution=256, views=233, flatten_encoding_dims=True)\n", "\n", "print(\"trajectory: \\n - shape: {}\\n - dtype: {}\\n - range: [{}, {}]\".format(\n", " trajectory.shape, trajectory.dtype,\n", " tf.math.reduce_min(trajectory), tf.math.reduce_max(trajectory)))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "The trajectory should have shape `[..., M, N]`, where `M` is the number of\n", "points and `N` is the number of dimensions. Any additional dimensions `...` will\n", "be treated as batch dimensions.\n", "\n", "Batch dimensions for `image` and `traj`, if any, will be broadcasted.\n", "\n", "Spatial frequencies should be provided in radians/voxel, ie, in the range\n", "`[-pi, pi]`." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, we'll also need density compensation weights for our set of nonuniform\n", "points. These are necessary in the adjoint transform, to compensate for the fact\n", "that the sampling density in a radial trajectory is not uniform." ] }, { "cell_type": "code", "execution_count": 4, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "density: \n", " - shape: (119296,)\n", " - dtype: \n" ] } ], "source": [ "density = tfmri.sampling.radial_density(base_resolution=256, views=233)\n", "density = tf.reshape(density, [-1])\n", "\n", "print(\"density: \\n - shape: {}\\n - dtype: {}\".format(\n", " density.shape, density.dtype))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Forward transform (image to *k*-space)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Next, let's calculate the k-space coefficients for the given image and trajectory points (image to k-space transform)." ] }, { "cell_type": "code", "execution_count": 5, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "kspace: \n", " - shape: (119296,)\n", " - dtype: \n" ] } ], "source": [ "kspace = tfmri.signal.nufft(image, trajectory,\n", " transform_type='type_2',\n", " fft_direction='forward')\n", "\n", "print(\"kspace: \\n - shape: {}\\n - dtype: {}\".format(kspace.shape, kspace.dtype))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We are using a type-2 transform (uniform to nonuniform) and a forward FFT\n", "(image domain to frequency domain). These are the default values for\n", "`transform_type` and `fft_direction`, so providing them was not necessary in\n", "this case." ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Adjoint transform (*k*-space to image)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "We will now perform the adjoint transform to recover the image given the\n", "*k*-space data. In this case, we will use a type-1 transform (nonuniform to\n", "uniform) and a backward FFT (frequency domain to image domain). Also note that,\n", "prior to evaluating the NUFFT, we will compensate for the nonuniform sampling\n", "density by simply dividing the *k*-space samples by the density weights.\n", "Finally, for type-1 transforms we need to specify an additional `grid_shape`\n", "argument, which should be the size of the image. If there are any batch\n", "dimensions, `grid_shape` should **not** include them." ] }, { "cell_type": "code", "execution_count": 6, "metadata": {}, "outputs": [ { "name": "stdout", "output_type": "stream", "text": [ "recon: \n", " - shape: (256, 256)\n", " - dtype: \n" ] } ], "source": [ "# Apply density compensation.\n", "kspace /= tf.cast(density, tf.complex64)\n", "\n", "recon = tfmri.signal.nufft(kspace, trajectory,\n", " grid_shape=image_shape,\n", " transform_type='type_1',\n", " fft_direction='backward')\n", "\n", "print(\"recon: \\n - shape: {}\\n - dtype: {}\".format(recon.shape, recon.dtype))" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "Finally, let's visualize the images." ] }, { "cell_type": "code", "execution_count": 7, "metadata": {}, "outputs": [ { "data": { "image/png": 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EkdFejDa9vBvACQBecZi9XA7364sssiPSjDFvB/BZTJ3dFVlk87JDFjKbyPJ5CdopzT9vrf3wITlRZJFFFtksFr2PIossstnskACiibwRD6KdKXkngDsBvHJCoBdZZJFFtmgWvY8iiyyyudihysR7GoCHrLWPAIAx5mtohyxCX0DGmCh0EVlkh4/tt9YuNFvvobAFv48mV6AI3Q/GGFhr3X8OMP2BJsvhdr9cf7t+5+dYLIZWqzXls+6jn2mxWCxQNz12umPCrp/X6VvYsbPVabrzzFbWXLbPtXz/2uZT7nzrNN31+fvP1m4z9Ue16erv33u/H+mxft+eqSztY/41+GVq2dPtF3a90x3r7++Xa62d8/voUAGioxDMjLwT3jRmY8wbALzhEJ0/ssgiWzpbbsnm5v0+6ujoQCwWgzEG9XodHR3tJMN88RtjkEqlnENoNBpoNBqw1qLVarnfx8fH0dHRgVarBWstGo2GK7vZbLry6vU64vE4EokExsfHHdjicdlsFuVyGcYY54gSiQTi8TgajQbi8TiazSbi8ThisRhisRjGx8eRSCTc52az6erCc7OsRqPh6sI6sKx6vQ5jDJLJpKtTLBZDR0cHGo0Gms2ma7NarebajXUHELguXrsxBvF43DkxlmOtDdQzkUi4slhH7sfv8XgcADA+Po5YrC2N5X3gd7YVt+t90fvGukrfQCKRcHXktfGcbF+ei5/j8bgrk+Wwvs1m07W1XifbXfcdHx9HOp1Go9Fw5SYSCdTrdXcveO28D/wcj8fd/WM7pVIpNJtN1weSyaTrQ+wPrVYLHR0d7vx6HfF4PHCNvBfso7FYzF279if2WRr3qdfrSCaT7n6y39ZqNbcfz+X3b9479p1ms4lMJuOexwmb8/toyUTV1trPWmufaq196lLVIbLIIosMCL6P1AHSmdBh0dnzJd9sNlGtVt3Lm44kk8kEwAtBB1/sdNx8mbNsgio6AaDtEEqlkjuvnp8ABADS6TTi8bgDXqxrrVZzDk8BDIDAfgACn5vNZgAYNRoN1Ot1d75KpYJWq4VsNotMJuOcPAEDARi/K/Ch0+R5uE1BBeujQE8BCcvgdp6f9dO6AEHGhY6U++gfza+jnlPBDh14MpmcUm+ewwdCvL8sl/eNzp7bWW+CIrZztVp1bdVoNAJAsFarufYg8NPrYl9le2jfYB81xjjwmEgkkEqlAtvZbgreCIbYxrwm1o2/6UBD+xbvCy2TySCRSLg2Gx8fd/2XgIyAK5lMuvaqVquIx+NIp9OuTeZqh4oh2oX2Qpy0TVhY2vTIIosssgO1eb+PlDWJxWKOjSFA4guc/3WEm0wmAy9xjsDpTFmGOhcFAwACDrHVarkyCA7oZAikgLajI1Okx9LJcEStDAdZHmUk1GHT8SiTocBOHWkymXTOHIBzegSFLFMBgIIz1rWjo8O1H8uhg+dvBCoEmwoeeYyCANadv/mskB/q9LexLG1PXkMikXD3kUCa5bJ9WCbL473jtShQ5H3ywUi1WnX9sNVqBe6nMoHAZDiL16wMGuvof2bd+FmvlW3PshVwsS0JCJVJU4DEcrhvq9VygJ7PWyaTcWwS0Ab5BHCsPwcQbM96vY50Ou0Y2UajgWq1ikwm4/rLXO1QAaI7AZxgjDkO7RfPKxBcSiGyyCKLbLFsXu8jDWHR2Wh4SJ0mQxAaeqFDYLhMnRJH43Ty6nj53WdUFJgQhNCR8n+1Wg1ohOhQdRvLU7BE1kOdmF5rIpFwjltDHnRadIB0anRYLIftybpqvWkaXmIZrB/bnyBSARpBCPfV8rROrAOBo7aDgh22vTJdNJ9lYp3r9XrgHjEMR9Pwp163npvgliEqBS/KGFprUavVAkCDbczzpFIpxxDx3tVqtUC5CgwVuPislO7Dv3Q67VhDAkD2dR1A6D1QgKgDAWUDGeZj+EwHCgp+GJbVawDagwEOStgnKpUKksnkdI95qB0SQGStHTfGvBnAD9Ge5voF214+IbLIIotsUW0h7yPqfMjOaBhCQzV8Wfuj6Var5XQffPmrzsRnEfh7WAiHQIrfNdxGB8zfVOOkWhqeT0MXCow0FKfOSsMZGtZjGySTSVSrVQCT4TdgUi9DB846KfBSkMJzqN6HDIZu7+joQL1edw5RNUSst/7GsvT++M55prCatin7g99+yrLxfGRUFNyp3of9SMNqLMNa61gh1kVZJjKQvNaOjo4poFX1R2RuNOToA0EFbhpyVPCnrJWyWaoDYxvps8CyGLpTMKx9H5hkMVOplAt9aR3YT9keCuIIinyd3nxsWSzdYaJZZpFFdjjZXXYFawPj8bgl66PMBgGCH5bh6FhH9hrSUQDDUTUwNRTDMtWBh2loWBeGO9Rx+Q5Pnb3WmY5PxdQa3lHh6kSbBJgrFViraNd3eCzLD02xLvpfTUf6vE69Ptbfv0daljr2sPNrPfRe6L3yGTsFar7AWuuoomvWgefS++HXwWe1FIxwH7Y9mUyfVVKgrKBNQRhBFfueAj1tJ21jZXyUSeMzodftzz5Tgbt+5/m1bfh8KODjMalUKsAm8hitC49jeLFYLM75fRRlqo4sssgi84xAoVKpuBFrMplEKpUCMOlESPMTwPgjf2BylpIPUHwmQn8ncKKjUm0Gy1SNiJ5by6KzpDPSEAJnzxH0KAvlMxp+eInnVsfHP35nPf3wk5rP1ISFV/Q3bRNeO8W/WqaCVr0PrBsBj4I1rY9eg94vZWa0LixLr1vbUZkX3qOwttC20tlVfihKAaPfF3yASEaF4F1ncBE8KShmXcNYH//8CowUjBPUhPUbbWsFQ/qMcF+9zxST81nQ+uuzWa1WHTs5XztUGqLIIossshVprVbLAYVkMunEwgxraPiCDtwPy5C6J5vCcjX0QFPnqOCITpfhDDoGOmJgUpdEB0YnwvqoWNt3jMBkKEbP7x+jDk3DThpmYZlkruh0ec0KQni8ggReK3+jcZuKetmG3K7shYInra+2c5iD9oGqD1D1WB9IKdtGvRnbV39XwKrAVgEYgQ3BKzVZ7JO8hwo6fHCl/cNnpBhG43/2L2V+9J6zPmxjnSKv7cq+wPPzGpTpVLDvt732bZap4VuCNX8QQGMf475kaRnOnatFgCiyyCKLTMyYSWFxKpVyo18yQT440Jk/vuNkqIIOQ50AgIDT8DUrAAK/+aEQDa+oI1NAo87B1yj559Tr1xAIAZayAOrolLkiaFGtlWqPVHMCINBuPrsSxuwQGOm0c18XRUZNGRI/TBPm+GkKNv3p8BqeYfhKw44KlHy2Lgwc8poIIrWO3G6tdRo2HsPrY30JRH1R+3ThUr1Wra+GZ3VfPcYHUL5WR8OT2o8UHCpg5W8MO+vkA16/9hWfWWW/Yigxk8mgUqk4YKo5pWazCBBFdsB21lln4U/+5E8OSlm33XYbfvCDHxyUsiKLbCGmzotACJhkjvyQDk2dK1/aOoVYnQjP44c+1EH4AMvPVaQAQnU2rVYrIHAGEHBYLE/DJH44hI5SBbP8HuZ4yY5wX07DJ1ugs9Z8QKltSbaA16TtSkG1AhkFowQFZ5xxBk499dQAQ6aATWf60ZHyHiv7BAB333037rjjDncPlbFimxCokhHz9Vca7lIg6Pc3Ag3qe+r1uruv/E/WiKBVga6G7xSUKPjj9el1+qBQ+wCBmtbBB+wKgvX+aejYZ+185pHn13prskgNB2odWa9Go+EE/B0dHa5OnBAxV4tE1ZHNy7Zs2YJ/+Zd/CWx7+tOfjic+8YkHpfx77rkHP//5zwPbPvzhD2Pbtm0HpfzIFsVWtKg6FotZ5knRl7fmSFEdCEfAZEW4jccRFAAIOG/up9t9kKBOxNd1KHAjS6N6I92HZapDI6DQMERIWzhHxXAQnTfrTb2G6nbozBXYWWtdrhgNH/H62FYabsrn8xgZGUEymXTl83wdHR045phj8PKXvzwgND755JNxyimnoFqtuvCOL/blefVeKHhgbpt7770X999/vyu7Xq/ja1/7Gnbs2OEYRNr4+Diq1Sp6enpQKpVcmf41hQFMOnPuwzZnVmn2lXQ6Hdr+yhiFMWzKeiloYR31vw+q2G4KTrTvc+Cg59TytE5h9fABj7KpPij2Q2M8v+qidALEhA5wzu+jiCGKbEZLpVL40pe+5L6vWrUKz3nOcw7Z+Z74xCdOAVdbt27F4OCg+/6a17zGjegii+xQmAIKAAEdkL6M+aJWQOGHZfhdp2druMqfNQNMdUosT0GFakB0dK9hOJbF4xUYKBDSsInm+FFApwkB6azI/rB8ZaUATHFWPljTcBsZEE45B9rC71QqhVQqhUqlgr6+PrzpTW/CqlWrYExbn/WsZz3L1ZfhNF6n3k91ssraaZsog9NsNrF161accsopgQScRx99tDvf4OAg/u///b8YHBxENpt1oIn9hedUEKHAjiFNtrWf0wqYnGVHFoRtqlnHWRa3E+ixzyno0b6nGjV/H95P1ocMlua/SqfTLvmmTiTQEKOGB3msgjWGQTVhqT4/vFfKQGlYmMyj5khSwf98LAJEkYXaDTfc4F7WhxIAzcX8869atco9VC94wQuWqFaRHa7Gfs8cOxyVU8ehzsMXIANTQ0GaEVgZGZ4HCDIVLEP3USdELRNH03Q8OprWsAbrye/qnJXtooPUcIaGKHR5CAUy6sQYqlNNDNuSTp1lEJQBbZCQSqUc8Ein00gmkxgdHUUmk8EHPvAB5HI5GGPwrGc9C6VSya2dpSBTp2mzrRi6Y1jPFxn7OY9UOKzT0xmuPP3009258/k8jjrqKABAsVjEe97zHlQqFXR1daFerzutUy6XQ7VadXoy1T2xzn54lPeKbaiJFX0wrveaIIgAT6ets91pylz5IS5lFBWws600aSRDZ6yvlsHyFRipiJr3hMfze1heLh6rgn6C0I6ODqc/ymazLrP3fEJmESCKzNkNN9yA3t5eAMBpp522xLWZ3hQg/eIXvwAADA4O4oUvfOFSVSmyw8wSiYRzZlwzjC9zXzirI2plitQJE8z4DInurw4yHo8HlkpgsjlNPqh14ehbpyQrUFMmiL8Bk4CAbIs6SIIBdbgKlFgH39mqsFnPR4dFJoAgUadtK7B773vfi40bN2JsbAzPf/7zsX//fscAAXD6HwWnBA+1Ws0t51CtVpHL5RyrxmzOAAKfE4kESqUS0uk0gHaiP81HxWvXdqpUKnjGM56BRqOBVatWobu7G7lcDnv27MH5558f0BIR6NCR855wzS2y3ipa9tMsKGui4FSFyVzbq16vO4DJdvCZIH/mG3VqyrAQrOikAoIenQGnmh8tX0G1gkteqzJVfFbY9xQw63PlM7LMBcbBS7VaDYQb52qRhigyfPvb38aJJ56IE088MdDxVpI1m008+OCDeOCBB/AXf/EXS12dI91WtIYoHo8H3kd0Euo4FAzoqFpFtjpS1pAAMKlzAIKaDwVdfBbDlqggY0AnqACHwAAIgix/dhOdO2fp+PVUhoBlq66E9VHxtWpBFDjyvKw3hd+JRAK5XM45bGst/v3f/x3HHHMMnvKUpzgQQ8fe2dmJYrGIzs5OjI2NBcTkGhIjo5VMJlGpVJDJZNBqtVCpVNDT04OxsTFX3sjICDKZDPUmyGQyAQ2Un1iTAJV1yOfzKBQKrj0Zqrrrrrvw2GOP4f3vfz+AyXW5yuWyc/46c419Qe+baoUABNgl1o3XT9O+QJaL4JRAmwkddX+CF78v+oyjAtmwemu7+WyRhuz80GkqlXJZyDXFgLYH+572TdXKUUvF3/L5PEZHR+f8PooA0RFql1xyiQMO69atc6PRlW6NRgN79+4FAHzjG9/A2972tiWu0RFpKxoQGWNsOp12L2YAbgpvq9VyzsTX6gCT4InhIQBTZgapMwKC64zp+l8aNlNGikyQ6l7ogDS8oKE6ghmdXcVrVKdFRkNDan4oUI3hGGWsGPKo1WquPYDJxWd15XS28T/+4z/iz/7szzA2NobHP/7xqNfrKJfLaDab6O3tdWxNsVh07UxnT/DCmW26CKq208S9dXVXIKEsE5kShma4BAtZDJ6T7QgA+Xze1XFoaAgdHR1ucdH7778f+Xwe119/PT7zmc84JoXnZCiWKR7Yd1KpVIBpU12UAiEFKz47qCEt/qZCeIIXBTbsKxpeJLulQEbXIFOWlOfQcJmmKvD31bxFysxSE8T66LWpkJuCen1G2Rcm2jYCRJGF27ve9S788z//M/L5/LwXvltpVq/XUSwW8eEPfxgXXnjhUlfnSLIVDYgSiYTN5/OB8BadI01/AyYFwcr80KlxRpTORPPF0nRgut3P7UIwpOeloJWOT8+vTp7XwH00cSTP6c/4oXNUEbDqfmgEHrRYLObCThRd811DZ9jT04PVq1fjec97Hs4++2xs3LjRgcGRkRGkUil0d3ejVqu52VuJRHvl946ODsfMFItFGGOQzWZRKpWQTCbR0dGBcrns8tHw3PV63Wl/wrYRkHCGWbVaRTabRaPRQL1eRy6XQ7lchrXWnbuzs9PVj6CG9RwdHUWtVkNvb68DObt27cJ1112HG2+8EYODgygUCoE+oOtwAUC5XA60tT/Li9v0PirA1fvji7nJFOksMj9NBPueApBWq+XaT/uMhhYJoPTaNMTG7/4zwJl0BM9k4xKJhOvreq1+niIFbQTjIyMj0SyzyKbam970Jrzvfe87JGzQhz70IXzve987oDLOPvtsvPOd7zxINWqPzPv6+nDBBRegWCzisssuO2hlR3Z4W7PZdECGTokvXNXAKNuiM68IPhR0+KEHmupSVIOjL346ID+ztIYSlLHyQ1jq8AA43YwyIjyfgi5lIuj8NIMyR+uqCbHWupw8nZ2dMMa4hTdTqRSy2SzGx8fxpCc9Ca95zWuwZs0ajI2NYXh42OlwOjo6sG/fPjfDrK+vD5VKBbVabQqQIzghCCsWi/jSl76EW2+91Tl33jcAgbxDqiHidgLIZz/72Xj1q1+NTCaDdDrtRNTFYtHdw0ql4liurq4u1Go1VCoVjI6OYvXq1Uin0zDGYHBwEPl8HieeeCLOOeccDAwM4KabbnJT9KlTI6AbGxsLAFLVMKkOh/1NQQavRe897y/7jwr7yfQoGFchtt+3NCTL/kqfojMO2RcYpvNn8ikgUu1YrVZz/ZJt22q1kM1mHVAiQCNj12y28zZRO8bQogLHuVjEEB0BdvbZZ+Nb3/qW69gHaj//+c/xT//0T4FtfuhgIRZWv0svvRSnn376AZULTNbv7LPPjhI/Hnpb0QxRLBazwKQehy9q1V5oeImzY/ztGm7g8TorjC9yhib4p4BGR/bAJLDR/QAEAIvOhPMX+eR/XguAALOkU5YVbKneg+fWelMDwrqxjGw2GwhXjY+P4/nPfz7e/va346ijjkKr1XJMSzqdxsjICGq1Grq7u9FsNtHV1YXdu3c7DRDXlCsUCs5B3nnnnfjUpz6FQqHgllohUEmn06hUKi78NDY2ht7eXgdquru7MTg4iM7OThfmy2QybqV16onq9Tq6urrw5je/GU95ylOQTqdRKpXcbDKCqlqt5oTgsVgMo6OjAbZrbGzMgcSdO3fiYx/7GG666SbXbmQ1isWiux/sT7xfyvjpPfHvmfYXsiY0//4pe0Tg5IfcwrRkWg/9TXVGCppZNgcLfBYoyqaRMVIQz2eRM8o09Kb9WfvkRJgzCplFBpx66qn41a9+teDj2TdGR0dx5plnHqxqHZD96Ec/Qnd3N4DwVbLnaqeeeip+/etfH6xqRRa0FQ2I4vG45YgWCOpo/Je2Cp/5YlcBqzoLHWVzRM0XPB0Jy1VnpAJVOgWOlOn0VXzKOiuY0ZAEMHVqvo7a1cnyNz9MQ4dEgKfAjuCDYvBMJoO1a9fihBNOwLve9S6sW7cOmUwGpVIJ1lrkcjmMjo46UEWQwutNp9PIZrPYuXMnjjnmGPzv//4vPvKRj2BwcBAdHR1Ip9MoFouORaM2Rp0kQ4RsL86YYrhMxca6P2elsdzOzk4Htvr6+vCud70LT3va07B9+3Zs2rQJ5XLZLQgci8WwatUqjI6OOlaxq6sLpVIJxrSn4lcqFezduxcf+tCH8NBDD2Hfvn2B+hCksQ/w/irj4+vRfG2RhjOV7eH91oSLPgAmmFKmTfseUyUok6UAXMET66dJT8n26XlUD6WaOdULqaCbInYer5Mf4vE4yuVyBIiOZEsmk9iyZQt++9vfzvtYvlittXjGM55xsKt2UO32228PULzztcc97nHYtm1blOTx4NuKBkSJRMKm02m+TAMvWH0JK9AhU8S+pEBDQx8qVvUF1joq9nP86BpgdFq63hMwuZyEms4KU0Er60inQ82M1t0HdDqFmo6H4S8KmzUfDAXU5XIZT3rSk/D+978fT37ykzEwMOCmwmvYI5/PY+/evU4QvXbtWvz2t7/F8ccfj/vuuw/nn3++m05NDRHDmay/nlP1JRTrMpyi7RiLxVwCSE07MD4+7lgoAinOhJuYveSYn3Q6jQ996EM4+eST8cgjj+Ckk05Cf3+/AyTr1q1DsVh07RSPx90U/zVr1uBXv/oV/u3f/g333HOPy1nEsGSj0UAmkwksHlsulwPOn/1D9TMqsidQ5T1WdsdPBaDsD80H5zyOZRGMKHupYEb7HUER+xaZIn5XFpX1IoOk67ORgeL91RxfZBQ7OjrmpSGKANFhZkcddRR27tw57+M46jnrrLNQqVQOQc0OnWUyGfzgBz9wFPd8bePGjdizZ88hqNkRaysaEMXjcasziVTYqTNifF0OX9AcmavD5e8UX9MJ63buq85aZ+foKur+ulJ6PBkFbvNDHr44ltOVgeCMODV/lpYyAdZaFxpjWfF4HGvWrMGWLVvwn//5n9i8eTMSiQT27duH3t5eGGPcFHdrrWN4VNjc39+Pf/3Xf0WlUoExxgmreS909piGYAhCCCx8JohAT9tUAQ8BYqlUCmirGBoFJkGwAlzmRMpkMvjgBz+IdevWOUajVquhXq8jn8+7a2ebjYyMYM2aNWg0Gti+fTve+9734pFHHsHAwEBgCjrLoSnjqNtoGqrVcJuyfzRlhRRYG2NcLib2GxXoK8PDz9qPWa7qibhdtT9+n1dGSYGf9j19BtnvFAjyeS2VShEgOtKMD9/27dvnfMzY2JhjhF796ldj3759h6p6i2IbNmzAlVdeCQBuxDlXYzp+TtmP7IBsRQMiY4ylI1OgwJc+AMfOAAiAFn1J67RgvrA5atYwGB2IzuJSPYg6NpbNmVvGmIAWSKf3sxx1TH5ITYWu6mRoOgPJd6Qsl+fjOl50lps2bcLHP/5xnHzyyRgYGEA2m3WMkE5rJxDq7+9HV1cXHnjgAXz5y1/Gzp07sX//fhd24vIM8Xgco6Oj4EzAarWKfD4/Zbq9L9jlPSA4AoBcLodisehmdqkzJtOi0+8p3k4kEigWi+jp6XFLaoyPj7tw3+rVq3H00UfjNa95DU444QSUSiWsW7fOASPWk8wUQdKaNWtw//334+1vfzt27tzpwOXo6KjrR7x3vH8a5vJnCgIIABgFPexzqvXhdatOyQfjKqBWXZzmw9L+pmUpsNaUDco4aR4hBXwERayzirk19xSvlcdG0+6PMNuyZQsefvjhOe8/OjqKsbExfOADH8Avf/nLQ1izpbPTTjsN559/Pjo7O53maDaz1mLr1q145JFHDnHtDntb0YAoFovZrq4ux0xQ20KGwV/Cwhez0gHri5kOWV/uKl7WEbICIh0hk10iA6QOw883pOBFxbPK/PCcct0BZ6qjb60LHbFOtSZgXLt2LTZt2oSPfOQj6OjowNFHH43+/n4HmphpmkwQ0J5avmfPHnz5y1/Gfffdh2QyiZGRkUDG5a6uLhQKBYyPj6OnpwfDw8NOCM1p8tSykL0hQ8Ap+NZalMtldHd3u8VXuXhsLpcDAMfcMCEk244OnAvGxmIxFAoF9PX1ucVnmaCRdWZd6/U6nvCEJ+Cv//qvsWHDBmQymQDjQ00T0J6lt3HjRjz22GMYHx/HO9/5TuzcuRP79u1zeiIF1pq/RwGHMjy+rifs/muIy0+GyL5OAKdAqtVquWny7DP6G8vUeilQ0ufBB2YKUBWsKwPFZ4taL12ehYxfrVaLANGRYqeccgruvvvuwEyU6WxkZAT79u3Dl770Jdxwww2LULult7POOguvec1rsHbtWvT09My6//j4OJ785Cfj3nvvPfSVO3xtRQOiRCJh+XLlKFSXd9DRp2YS9kXRqtFQZ62ghQ7LzzisITC+8Blm08zZdKSqFVFGyAdGKqrmf98R+voSAIGQEIGe1tlMCIb/4A/+AP/+7/+Opz71qdi5cyestQFGpbu7G4VCwelgtm/fjhtvvBG/+MUvHIjgNbPckZER9PT0oFKpIJ1OBxwnHaVOv1Z2DkDAWQLBaff6mfeZ1wwEnbICJF/0TmDDutLxk7Ho6OhAMpnE05/+dJx55pnYvHmz0wV1dXVhdHQUnZ2daDQaLjHhpk2bcOedd+L9738/fvvb36JQKAQYQ71eAFPWdNN+SkBHtkuZHPZf1amxbyiAUaygAJ/tq8yfL8L3w7fa93yNnPY7v64KyBWksy9q8syOjg4kEolIQ3Qk2Omnn45UKoUbb7zRzYKYyYaGhnD55Zfj6quvXoTaLT97xStegde//vVurbaZrFqt4vnPfz6q1Sr+93//dxFqd9jZigZEsVjMqnaEL119SQOTWhwdafMznbIuagpMrm/GzwRHwFQhNhBcw0kZJS3HZ3ZYlpZDU6aIQtWwevjaIwVxdO5kZjo6OrBu3Tps3LgR559/Pk444QTs3bvX5dghe0NgAACFQgH//d//jZ/97Gcuv1A+n58SEuJIH4CbMj88PIxcLjcl7Kd199k6ZVWY7wdAQEytITItQ++LniMWi6FUKrk6dXZ2AoDTIameJhZrT/lPp9PIZDL44z/+Y7zqVa9yxzAESxYql8theHgY69evx4MPPogPfvCD2LNnD/bt2+cWjVUmSsE075NqyxR8a2Zvv7/pvn6/1Kn0/K4soYIm/e/rzzRs6w8IGEbj/mFhXx7LEKCG8AioqHuKxWKoVqtRYsbD2Z797GfjmmuuwerVq2fdt1Ao4O6778add955xIIhAPja176GeDyOpzzlKTj11FPR1dU17b7pdBq33norBgYG8Fd/9Ve45ZZbFq+ikS0L4+jbZ1tUsEzznQBH4hz5qrNR4SkQXHneBy86CtdRv27XclgGz6sjcJ+RAqYma2TdlfUCJh2YtgHBQyaTwROf+ET827/9Gzo7O9HT04PR0dHAEiSsXzabxdDQEO677z789re/xS233OLy8mjCS+7f09ODffv2Oe2MTuvX6+fq9MpQEIj44U11qP79Y/sRyCrgIoPBcxEIsC4KuhqNBlavXo3R0dGA4JeC6qGhIfzkJz9BKpXCSSedhMc//vHo6+tzM+P0XhQKBRx77LG46KKLMDo6igsuuAC//vWvnW6JmaZVW0PhOMNbnCqv95z/9b76beOHZTXvkWqY2GYsS8N5YeySzmwD4MTwPDfPT4ZHUwv4YIn9kakeVFQeLe56BNhZZ52Fyy+/HBs2bJhxv3K5jB//+MfYvn07vvCFLyxS7VaGve51r8MxxxyD5zznObPOStu5cyfe8IY3RMkc52crmiFiyIwAhI4lTDQKIMCgqDMAJl/+DG/xhe2HAQBMcS6+3keFsDrDiUBHtT96nD/lXtef4vlVnAsEGSaWp+G7TCaDfD6Ppz3taTj33HNx6qmnOt2P6krq9TpWrVqFHTt24N5778WOHTtw3XXXOZZG9VKNRsOJo/m5UCggn8+7tmc4hOBD9UI+s8PrUN2Xhh0BuPJYDy1H20HLUU2WhtnYtsxozVlqFGNTFK/1SKVSePGLX4xNmzbhlFNOwdFHH+3WQvNXqM/n87jnnnvwuc99DnfddRfGxsackJz9Qe+bzxrxP3/zmUZ/koBfhurUCBBV+K/9LIw11X7k4w4FvNrPeW26zb8/8ty6e8I0GKlUCsPDw1HI7HC0l7zkJfjEJz6BY445Zsb9qtUqrrjiClx++eWLVLOVaeeeey7+9m//dtaQ47Zt2/C2t70N3/72txenYivfVjQgik+sdp/JZJzmIixsogJPGh27P13YD18oi6GhAz/E4Icu1BlP1BUAnIPS3DNavl93/71PVovsCIGcAic60Y6ODuRyOfzRH/0R/v7v/x4nnHACyuWyG9Ez83Sj0XChsu9973u44oor3ErznNVFkEjQkMlk3Iif4TzWi1mndbFVZYeUZVDGhtes4ED3nW4fvwxu03NqiIsMD0EawVIqlUKlUnFgD5h03mSORkZG8LrXvQ4vetGLXBlcD62rq8utp5bP5/G73/0On/3sZ/HTn/4U5XLZad38vkSgyzbmZ72XYTofDVVpv9awsfZftg3NB1Lapjyvsm/8TYGchmr9CQn8r+Fk7c8Ealx/rlAozPl9dODrOES2KPaXf/mXuOiii2YFQ41GA5/+9KcjMDQH+/znP4/LLrtsyvpQvpGy/su//MtFqllkS2nWWjcLSp2NPyoN011oiEAdE/fzj1VWiWEJHUnr+bgPj9Pp+9ym4ThN5KhskIIpOg8ND4Yll2QdmUn66U9/Ov7u7/4OW7duDYTcWGcCtGaziauuugrf+ta3AExO1ea1cjCioSjWTRk1gj2uPebPMgqbQcVrUH2VAlVtf2ByoVItQ8vVc7FNCHi0rnTGGpLyxduqWeL2a6+9FldddVUgn462KUOuW7duxbnnnotnPOMZ6Orqckum+ODGWhtYEFVZFgXf2md9kO9rdzStg4aj/H6m5WnoTNvUfwaUrdRnyB8g6DPggzZf40QAOleLNEQrwF7+8pfjAx/4ALZs2TLjfhdeeCEajQauvfbaRarZyrevfOUrqFQqSCQS+Od//udp9zv++ONxwQUXAAC+/vWvL1b1Ilsi48tUQw1ho151NjqCpukyHn5oTZkavsg5alYn7oeAgODim8oCKXDzQ29+aINGViudTgcYIoIaXjunwZ9xxhl44xvfiM2bN2NsbAzd3d0wpp1HJxaLoaenB3v27MFNN92EPXv24Oc//zkqlQq6uroci8JyfaZH8+hw+Qzuy+n3FGprRmMFI6qfIlPD6+c0fIIIZq9WwMSQmoZENRmnzsAj88Pp9pojSq9Fw21kEFlerVZzaQVuvPFGjI2NYePGjTjzzDOxYcMGJ6LOZrNIJBIYHR3FiSeeiDe/+c247LLLcNttt7m2JBghwCX4YroGDVdp3/Vn5bEcBTraFtoHFYSz3ykomi69hM9UsZ9ptnD+VyCmoFRDwRoyZnZvTWQ5F4sA0TK3v/qrv8L73/9+bN26dcb93vOe90Q6lwXaN7/5TQBtAfr73//+afc74YQT8IEPfADWWnzjG99YrOpFtgSmeiEdLatuRV/GfMn7Ik59cZP10O06c4fOAYBzUgRHOqLXOtCR+KNvngNAANTwelSrwdlfrBsdGOvHa+/s7MTTn/50vO51r8PmzZvRbDad0yFDkUqlMDAwgG9+85v49re/7abJk9lRPRVn4NG0vVmnarXq6uavyK6i8DBdSpipXoptMxdTgBXG+hF4EPAw3Kr18sXKbAOG1hiG++lPf4p6vY7R0VG84hWvwJo1axzTUa1WXdnHHnssXve61wFoL7hdKBRcff2cRLxHmlWdwFTvt8/0+Eynhrx4n1Ts7+vYNGzLY7ifPjs6iUHP7Q8a/MGBplhQoKWh6/lYFDJbxvaSl7wEH/zgB3HCCSfMuN/b3/72CAwdBPvBD36At7/97TPuc+KJJ+JDH/oQXvKSlyxSrSJbbNOXK8GHjmT1he0LWYFg8jlgclq8ZrfWkbyGifwRvAIqBQOqv/DPr3VSsTQdoNaP5fAcKg4mUIvF2muWnX766fj7v/97nHzyyY5laTabjl0C2oOKyy+/3IEhnZqtITudxUWQojPz+J3aIdVIMZxE3ZOCSD9spO0ZFrLU9gs7hvsq0CRY0zrxfzqdDoBNBa0KKrQN9L7y+pLJJL797W/j8ssvd0CH7UD2rFwu4+STT8Yb3vAGnHbaacjlcoFzEED6bBf/a9sri8Z+rm2ijA/7qt+u+lzos0JAz7YjgNLQLkGt/3z5QMfv31ov3Z+TDeYKeGkRQ7RM7c/+7M9w8cUX49hjj512n/POOw+lUgl33333otXrcLef/vSnOPfcc5HL5XDJJZeE7rN161Z87GMfQ7VajYDoYWx05HRYdLj6sqVTAYLhKh7P/TT0oyNimoYM6EAYltFwgB9KAxCohzpv1pMOm+dRJoA5eDQfEQCXjRlAAAxRQM0wU6PRwJo1a9xs1kKhgF//+teBZIzZbNa1h4qJ6cwYnozH4wHhNM+vM6mSyaRjYVKpFEqlksspRCOQVBExwQlZKWUdmJtIWTaCFZ9h0LLJXlHbo3og1XdxTTVqpnh+TUKpob1isYh8Po90Oo2f/OQnGBoaQldXF17/+tfj6KOPxsDAAJLJJNLpNMrlMk488UT8wz/8A1qtFu68804UCgWkUqmAVknBJBkpvTZlfthPFaizrpqWQZkiBVcEwfxdwY6CLLaXMmiaE0tDZuyvypr6zJE+G7VazQn352MRQ7QM7cwzz8Rll102Ixh64xvfiNtvvz0CQwfZrLW4++67cfvtt+PNb37ztPsdd9xx+OxnP4tnP/vZi1i7yBbDrLUu9wlZFb5YdZaXMkR+6ExfxK1Wy43W6TQ4+8oPSymIUZCkI+IwQSzBG50fHQvBEK9JQxp0epoigL/R2edyOTzpSU/CW97yFjzucY9DqVRyK4lXq1X09vZi+/bt+NrXvoYf//jHuPfeex2YYWZq6n/U8cViMTetnACEuiVtYwI2siMaitF8Qbw36oh90S4/K2jVkKNqsfQ41onbfA0LnX42m3VT6VVTpqwOw1fMm6P1YX6nnp4eFItFxGLt2Xe/+c1v8OMf/xhf+9rXsH37dvT29qJarcLa9kKypVIJJ510Et7ylrfgCU94ArLZrAs3qgYOgKuLD6AV5Kjg22e1fFCjgwD2U+7HMrV/K1AkUNK28kNtqofjM6DPhKa1UFaU/YMAda4WAaJlZs94xjNw1VVXYdOmTdPu88Y3vhF33XXXnGLmkS3MrLW48847ZwRFmzZtwte+9jWcccYZi1izyA61WTu53ISOfsP28zU+yuaE0flkAYBJBocz2VgmEJwh5gMldRp0WArCwhw+nTvLpXaFrAkAB0hYx87OTjzlKU/BO97xDpx44omBMFmtVkNfXx/27duHL3zhC7j++uvR2dmJjo6OgDMvlUpuarnO/uE0cobalEVQLQrbxGdTOLNLnbGaAhkVhStgIWPDmVi8zwqstD01RKTlaAoBP7RGMKD6Ha5dpqxcs9l0bcQFZAkqk8kkOjs7cf311+OKK67AwMAAenp6AqxTqVTC4x73OLzjHe/AH/7hHyKfz7uwmfYZ1pn3n3XzdWZ+HyLDqIlFFQxqH9U+C0yCMfYv9gH2W7JsPvBX8KPPU5iGi22o/YCDkPlYBIiWkZ166qn4/ve/j7Vr1067z1ve8hbceeedU8SbkR18azabuPPOO3HeeedNu8/atWvxgx/8AKeccsoi1iyyQ2l0jmRUlCXyw2g6KlZWSKeU8zvBj86iUaEp9+N/n7mh8fxcekNnVdFZKMDiH4GPskPqwDo6OpyTTKfT2Lp1K9761rfi5JNPdtmnCU56e3uxc+dOfP7zn8ftt9+ObDYLa60DCpr8kGBAZ4V1dHS47WxjAj5lzjhNn/dFUwIoEFV9kDIPmptJw0bKLnCban2UaWKb8RwKVgEE0nZwZpx/PcAkg0XWThM18j4SeCh4IxuUTqdx++234/Of/zz27NmD3t5e15c6OjowOjqKJzzhCXjrW9+KrVu3ukVkmR/Kn4mnTIvOWlRmje2hfUnF4n5oi/dOwQ/38QETnzHeH03fQIE521gZT7aZ9mPuo0yggvu5WgSIlolt3boV//M//zPjyuxvf/vbcccdd0TM0CJas9nE7bffPuOU/J6eHvziF7+YNS1CZCvDWq2Wm0LO0bOOiOkUua+vdaAT4ppWCniAyZlNyij4U5mByRe8DxToTP3p0fpfz8Xzc3SvoTIFMepMenp68P73vx9PfepTMTAwgHQ67ZiIXC6HoaEhXHXVVbj55puds2Nm5nw+j2KxCACBvEGZTMY5NNaBbcvviUTCgRRleBTIkOXQ+8H2Z7vRaXKbP5uO7cjZawrWuL+CXP5XtpCglyE/zR6u9feF5TqzS8NtsVjMLRILTGqJ2LZ07j/60Y9w1VVXYWhoCLlcDsViEalUCul0Gnv37sXpp5+O973vfeju7g6wJtQO8RoUFBPAsr/4gmXeJx0EENSyLTiri/1B91PgwhCqiqhZP55T9Vlsdz2/Hzrmb6lUyu0zPj6Ocrk8r2c/AkTLyCg+DLN/+7d/w09/+tMIDC2BWWtxyy234D3vec+0+/CFFtnKN4aUCGJqtdqUacLKygBwTo5ghc6dWiTN+EwWh84SCOovVASr4TBlKKjJIdihQ1YRrYYzNJTHc/H81lpUq1U3Dbynpwfr1q1Db28vhoaG3NT5sbExrF27FkNDQ7jyyitx4403unaqVqvI5/Oo1WoolUqBRUvJTFUqFQAIiKDVIZIV0TCeCn3JPPhhmzBAo8yL6lZ8cTnvnc8ihZVFxkGdM9uc9VcQxXuibBmPpflto8Js5lzSJU14r2+66SZceeWVGB4expo1azA2NuZYpMHBQaxatcrdQxXOqw7N10uxbgTfCnYUMBHAMvmkAlJ9PnSmIs/BayRISiaTAR2THsv/fliYZSrY47Oj4nwOZuZj0Rt8GdhRRx2FBx98cNrfP/ShD+GGG26IwNASmrUWP/jBD/CRj3xk2n0efPBBbNy4cRFrFdmhMgIOOkrNE0SH4o+eCYroPOjYORqnY6fT5EvdF4JSfKsMgo6MlRniO0H1KhqK8/VNGmJRHU0qlUJnZye6urpw7LHH4sILL0Qul0O9XnfLcGQyGQwNDeHqq6/GD3/4Q+ecqXOhw02n06hWq4Gp8c1mE7lcDgDc+lxh4meWqSJxtjnZE1/Eq8DUF+MqcGG2aNV1MQxH8KJAyWfb1BmrURNE09AOAaNqXpS9Yn6hXC7n+hjBAGfbUYSfSqVcWycSCfzwhz/ENddcg+HhYWQyGXevarUa8vk8LrzwQhx99NHo7OxELpdzuiFl4xSsA5OMos7YAibDfbwGtofmgOL9VPZL8wtpWJiAS2ceqtaL10sW1QeyYbPWFATzPvkzEGezCBAtsa1ZswY7d+4MjBpo1lpceumlLnFgZEtvX//61/HJT34yFJwaY7Br1y6sXr16CWoW2cEydZSaYA/AlFEqgADzwpcyM+RyFK0sTpgIW51BGDPkv9z5m+amYYhGHZmKfXUaso6u6Xzj8ThWr16NCy64AKeeeioqlQpSqRSGhoacY7vmmmsCqSY0bw6vg+3jpxZgPRgSUhDHuqp2iowEHTYBjTpTdbi+3scX1Koj57WHCdHDyuD3ZjOYF4kAWEFsPB5333lvFFjxHhE8km2hKSgm6GC4T/sHAHz/+9/H17/+dQdsh4aGkEqlUC6Xceqpp+KDH/wgVq1ahWQyiUql4sJavoCZwFWXIOF1s74KoBm+I5BhGJP9kuBIheMKelTkz5AtGR0CGjJiCl59tklBEcEQASrLmI9FgGgJbdWqVdi3b1/ob81mE1dccQW+9KUvLXKtIpvNvvjFL+LKK6+cVtg+MDCAvr6+Ra5VZAfbstksyuVyQDfCEbDO2NJRv26LxWKBcI6GIVRPwhc+P6voWsM6PlDgC191SnQcKlwlqFKmiiN21runpwebN2/GxRdfjD/8wz/Egw8+6K6B7MU111yD66+/HrVaDblcLuDsmG+IehSCFzIedPIqntU66fXTQZfL5YA+R5kfPyRI089sF4I2ZspWrQtDevyN5/GZIS2fgET1NjwPGUEudqsaJAUFqnNhiJagh7outqExBtlsFsViMcCgML/R9ddfj2uuuQbNZhPZbNbV68EHH8RTn/pUtyB4d3d3ILSrzKeCGe07vEeqLyKwTSQSTrOj4Uh/cgHvl/ZzDUn6SS4ZJlPQqs+YbvND2cYYlMtlZDKZAPCdq0WAaIksHo9j//79ob81Gg1cffXV+NSnPrXItYpsrvbJT34S3/jGN6ZdGHZwcHDe8evIlo8x6R0duoIXvoj9UarO3KFTJ7NBJ0xnpjO81AGrM9LQhjI6qnVRMOHPOAOmOieOwuPxODKZTED0++EPfxhPe9rTsHPnTvT29iKdTqNWq6FcLuM73/kOvvOd76BWq7ncNxrG4KjcB31sA11GQcGPhlV83RW1SzxGna7qjNTUAWo4zm+Lmcxnl8KcqoqolcXi/qy7JuQkKPQBIM/J61ZhvbJQZNa4nTmhqtUqrrvuOlx//fWoVCoutNjT04MdO3bgqU99Kj70oQ+5uiYSCQcYNGeVMi38z3Yn+NUwrt5/Zcd4HfobPysQ0nJ538mMcUKBTgDw74+ykawzmatyuRxILTBXiwDREtnRRx897W8//elPcfHFFy9ibSJbiF144YX4n//5n2l/n+keR7a8jSN01X/oyF6dgYZ96FhI3+vsG2Dqwpc83tcUESRxO0fodKIESGEOjedR8SkwGZLiCJ0C1DVr1uD444/H8ccfj127dqHZbK9RNjw8jFQqhV//+te46qqr3Ewn6jt4vQpWlG3R2UKcPk7wqEJjOkWasmEEnporyb8nar4DVpBFYKpJMjnrLJVKuXrwHuj9VOM1azgJgAM7Wne9LtaDn8n+UB/FUBTbSVktzWPE62Odmfvpy1/+Mu69914XOstms2i1Wti9ezdOOOEEHHfccVi7dq0TwWv/Yrtp+FY1QwQhyt4o00c2jP3A74tkVXXqPVkelkMwxfCv6oRYHo9nf9b7o8CbbeP3j9nsgACRMWabMeY3xpi7jTG/nNjWZ4y5yRjz+4n/vQdyjsPRHv/4x+PRRx8N/a1SqaC/v3+RaxTZQq2/v3/aOPWjjz6Kk08+eZFrdGTbwXonKUChw+AfX/h8YZMZoWPQafoEH5qJ2dev0AEBk6JWHU3r/nQ6dBj+7DJ1FnQG6qDotHVm1JYtW3DxxRe7fVatWoWRkRHk83k0Gg1s27YNABzroVO1NQUAz8u6EBQxxOKHobRd2Q7K6rAMsicaMgvTAIUxOSr29UMoPujx6+iXw/21zj4AJpDxmSplE31WQ+8XNTwEUgz38TP7F8EUgS/Zo0cffRTj4+3lQkZGRlzo3hiDiy++GFu2bHH9gYBBWRRl7nx9FfsZwQ/Bvg4OeL0aNvZZSn122Bf12pSJJeDnsQSUOmDwAasCqqUImT3bWnuqtfapE9/fBeBma+0JAG6e+B6Z2K9//evQ7ZVKBdddd13EDq0gu+iii3Dddde5abO+3XPPPYtco8hwEN5JqiXxtT4KUvQzX/AauuIfnY+CIGDqzCVf76MMkB+mo3hb9RMsQ50Bna9m7rW2veyDtRbvfve78bSnPQ0jIyNIpVIoFAqOkbj22mvxve99z00f53kBOI0LhdIUklN0TFZG9TZ63WqsI8+rYTdqa/zRvpbHNlFTZsPPOaRhTl2p3p9JFVa2tquCAGqllPFQRk6P076gfY3lNBqNwKK5ZJBarRZqtVogLQHBTaPRwPXXX49vfvObjp0qFApIp9MYGhrCaaedhne/+92w1rpEmiqA16n4fihXTdd9U10UAaw+K9oXwxgnPlt8bliOhuoUYPF82o7cn+BZmSf/Ps5mhyJk9mIAV058vhLAnx+Cc6xYe97znhd6k6rVKr7zne/gwgsvXIJaRXYg9tGPfhTXX399KFNkjMHznve8JahVZGLzfif5L3ENkwGTo37fwStj4DsN/q7hM386v5anGgr9DExOm1cwpk7DdwbqcAhgVq9ejac//enYvHkzHnnkEWQyGXfueDyO73znO/jWt76F4eFhx/b4YmZ1ohpKIeuggnKGmLhdNTSqw9GwlWaSDgs9+m2vpgCE5bM83iPdpvWZriz2C7/ufqoFsjcERQry9HqBSdaOIEnvseaV4n3ULNgEe2Qnh4eH8a1vfQvXXXddANCk02k88sgj2Lx5M8444wysWrXKLdBL5kVDwgCcFshnxPhcaKiXddTrUGZSgRH7sbJlvDZ9fnw/qeDMHwTo/WA5YWXMZgcKiCyAG40xdxlj3jCxbZ21ds/E534A68IONMa8wRjzS9LaR4K99KUvxXe/+90pqLtWq+Eb3/gGLrrooiWqWWQHah/96Edx7bXXTllMMBaL4bvf/S5e+tKXLlHNjjhb0Dsp7H2kIR1/hKv6BiA4DZjf1ZGpg1VHoQyT7qegStkhghBlOdRpqa6CxzMMoaCm0WjgaU97Gt7//vc7zQX1KwBwzTXX4Nvf/jYKhQIymUxALKshDA2naH14LXSS6sTJmBDo0UlyXwWGbCO2mR/WIvDwt/H/XMJher99XYo6VA3z6T3XWYcKRDX8p2BB66zHUBvlAzO2q/Y/nXFIBpJC+UKhgG9/+9u45pprAMClT2AOpw984AN46lOf6u7FdH8aalRwoeyaAlQCtLBQln7XexsW8lSGiaaDCj1Wz++DVr2PczUz3xhb4GBjjrLW7jLGrAVwE4C3ALjOWtsj+wxba2eM2RtjjoiMgyMjI6FLcwwMDOCss85aghodfNPEaXM1a+efL2K52g033BCah2hkZAS9vUeMnO4uCVctqh2Md1IsFrPqRDU0Q0CgL1z975UTcPDqbPWFH+bANZyh4TMAgbL8/xpe0FAV6x6LtafRj4+P4+qrr8aTn/xkbN++HevWrUN/fz/Wr1+PRx99FOeddx4qlQry+TxGR0fd1HuWo3Wl8XrI5rRaLeRyOYyNjbnQD8XqChiVLaDAWXMP0aGTmUqn04EZWcoc0VQbk8lkAvoesjnGTCZ71N8Z/p6pXN1fReSchcccOvF43P3ONtJrBoIz5qrVKjo7O1EqlVyYUzNMa1v794Azz7q7u1EsFpHJZHDppZfi2GOPdfd27969OOaYY3DXXXfhVa96lTtG2SECcAUWfroI/U+wp4BG+5vWOazfcz8yavpdr9m/Xh+M6zPH/SaWK5nz++iAGCJr7a6J//sAfAvAaQD2GmM2TFR4A4DwRDtHmJ133nmBaZO0er2Or371q0tQo4NrqVQK+XweXV1d6OnpmddfV1cX8vl8YDHMlWpf/epXQ6fip9NpvPWtb12CGh1ZdrDeSRzRhulUVMujL2i+yP1ZNn5YS4GTsk3KBvigyHc6ytSoo/GZK07Z1vrmcjm85CUvwebNm7F3716XU4hrlN18883OCY+Pj7uke2EzuvT8dN7A5ErjmiEaQCDXDzDpYNWpaZvqTDA/3KZtq21NIJHP55HL5dx7KZvNoqenB9lsFp2dnS6Dc09PDzKZDDo7O5HP591xFA9PFz7T2XAKtLSdNA8Pr1HDomTPtK3Y1hp25FR8H0zQGIYimDSmrSu6+eabMTQ05ATy+Xwe/f39OPbYY/Hnf/7nyOVygVllnOWl/VWfAdUK+SE2nWzg9w+9Zp9FDGtb7svnye9zrIuycP7Aw39252ILBkTGmJwxppOfATwPwL0ArgPwNxO7/Q2A7yz0HIeLvetd78IHPvCBKQ6/2WziE5/4xIpOvphKpdDV1YWuri50dnYuKPdOPB53ywZ0dXXNO3fEcrIrr7wSH//4x6ckbUyn07jgggvwrndFcwwOlR2sd5KOLqdjc/hZwYg/fd6n7VUA6oMXBQgaqgsbJfvASnUbCrB0xpo6vRe96EV485vfDGsturq6nBi62WziK1/5Cq699lrHfqjYW+vA86qAlQ5Mp5ZrZm6yDsowsB1Yvo7wNaym4RtaWBiMQCifzyObzTo2T1kZH8Rym4qgCaTy+fyU9xHr7wMbvU6daaYOWllCtoEf5uT0f4IaHqfaJz9Eq+fh+Y0x+MY3voGvfOUrjnGrVqvo6uqCMQZvetOb8KIXvWgKuFcQon1J32kKRLRP8/zKUuqzE8YiTcc2apiYYFjbXY/X58sY4xg36rTmagfCEK0D8DNjzK8B/C+A71lrbwDwYQDPNcb8HsCZE9+PaHv961+PfD4f2Gatxfve9z4X511p1tHRgZ6eHjfK0nwbC7VEIoFcLofu7m709PSsWGB0zTXX4H3ve9+U0U8+n8frXve6JarVEWEH5Z2kQMfX+ND8l7wyMjxGAZA6B3U8fhiBRmDkO08yMSzf13ZofVU/xOnxnZ2dOOuss7B69WoXlrG2rUG54oorcP3117tj/ZlXfgiFdeSzz3CXv10Bgs8q8FrDmDN1upwhRofo5yJKJpOOaVYgFAZ89Fx+GFPvaSKRQDabRS6XQ1dXlwv1sW6aqFCzSvt112sMc+bKumhbU5PDNb18kOrP5uJ5FIgaY3D99dfjiiuuCMx+KxaLWLNmDV7wghcgn88H8lwpkA4Lcylo5Tta2RnefwVa+p/X5/f3sHOyLD0mbICh2/UZXLTEjNbaR6y1T5r4e7y19oKJ7YPW2udYa0+w1p5prR1a6DkOB7vooouwfv36Kduttfje9763BDU6cOvo6EB3dzcymcwhAS0dHR3IZDLo7u4+KEBrKex73/teqCPdsGFDNJPwENnBfiep0yT7oyyMvowJKggWdKq1T+vrC11nZvkAxwdVAAJZjOksdEQf5sS4r7UWr33ta3HssceiXC6jt7cXw8PD2LRpEwYGBnDrrbcGRuL8r5mydbFWza3kLxoKIACotC4+UCETxHOpzohhJGU+tG5Am31Np9Nu2YowYMX76AMSljOTKJvAiOfRfqEAxFrrEgICk2kJlDnUEFwY2+hfI9uP7cB1zXR9MV1VXpkpLeMnP/kJBgYGsHHjRgwPD6Ovrw/lchnHHXccXvva1wb21z6jmjQVtmsb8/5om2r/U5CkYNpvA32m2Kd5LJ8tbT8+j8piaVuGXdNsFmWqPsT27Gc/ewo7BAD/+I//uAS1OTCLx+NYtWrVorE3HR0d6O3txapVqxYUiltqC7vH+Xwef/qnf7r4lYlsXsZFN/kSpnNQWp4vc18DpA7bn21DB8p9NaGilgkE87VQF8Mkdn54QUNC6ggTifbCq2Q6nv70p7uJD5VKBclkEo8++iiuvvpqFAqFQFZnOnGWRceszIgfGvLNd4oaYgtjWDSZI+8B9TQ8hs4/n8+7JSrC3kfK/KjAXeupIbwwtkiN76NMJoNsNhuYEq/gj2BRkyxWq9XA9HqCKNZBZ8r54Xa2v6/f0XIUDGnSTrbp2NgYrr76amzbts0t/mpMe8mVM844A7lcDtls1mVn1+SirJOvpyKLxczlPsumYn5u88tS8OfnbwKC7KEPxMLYJAVVC5ngEwGiQ2if+cxn8Ad/8AdTtp9zzjm46667lqBGCzdjDPr6+twDs1jGF3pfX9+8O/dS21133YVzzjlnyvaTTz4Zl1122RLUKLK5GMGCzyzoi5mMhjJBCg40tARMriPG0bSKZ3UUruuTsS6sg2Zr1j+yNjw/9RNMEFmv11Gr1fD3f//3OOWUU1yyPk7Tvvjii/H1r38dPT09rhyKoFUorc99WIhJTcEPP2sYDphkkFR/pNtYtrImCh7z+bxLCcD9FHgpC0EWi9m12e5hCRtZf627zoTLZDLI5/MBsKugjfd8Ltfn/846KVDQPuWHAPnZz2bdarXcdTWbTfT29uLrX/86Lr74YqTTaXcdhUIBT3ziE/F3f/d3qNVqqNfrDuQAk+wPy6HQXN/FbMOwjNU6qFAAQ9DIsqcTr7MszV7th+X8AQifUU1gOVeLANEhtBNPPNElO1P77W9/uwS1WbgZY7BmzZolDV8lEgmsWbNmxYGisHudzWZxwgknLEFtIpuL8SXLWaE6kqfzJRAhM6EhAX2R++s9cfaW6k10JE2diDoQ6nJ8bZLvYJQh4vmSySQymQxyuRyOO+4458yLxSKSySS2bduG/v5+rFmzBpVKJVRro0kEFegpG8XrJVugDtkYg2q16jJYc+aaCq59vZJmrNYwCo/VWanKHCkgooNlDqV0Oo1KpRJgnnSbLkMRVpYCGa2DLhOhISEFw5r8kdfGY5lKgGuYMR8U9UPah9jX2Hc0NKXtpQDCWotKpeJSK5AlGhsbc6DyuOOOc5+5KKr2JbJhbDfVLPFP0wcQ4Kl2TI0An2XzOAU6en08P9AG6RSN83nRtAAAXNLJcrk8r2c/AkSHyC6//HI84xnPmLL97LPPDqVjl6sRDC2HkFU8Hl9xoMhai//zf/7PlO1//Md/jM997nNLUKPIZjNjjBOy+gyOOhk6fV3dWx2UvtCNaee8UVAUpvHxwwO6mCUwyTSRkaBjIqvAkbyWaa3F2972Npx22mkYHR11A5t4PI5LLrkEv/vd75DL5dzirQRhtVrNsQLaNgR0wGSYjICj2WyiVqu56dz1eh2ZTMYxVfysOpjpWA9gkkFRjQj1i8zv44e5VAOk94H1Veeszl3Pr8yc/sZ7wnxDzCtHgKihwDAGTfdhCDKTybj18Pi51Wohn8+jWq2i2Ww6wKZ10llnrCPvP5f64LZKpYJMJoPf/e53uOSSS1xbJhIJjI6O4owzzsBb3/rWAAPK/kYAouwkWShlz/w21meHba3A2VrrFqfVXE0+2NNnS9NI+OBdATqBecQQLRNjeMm3/fv3L0FtDsyWAxiiLae6zNUGBwenbEsmk0dSosYVZ2QIqKWhrkVf6ioE5sKUNL6wCVQ06ZwKlxUw+RmgVaPhOwkCNjpf/q/VaoEZZQyNMaVFNptFqVRCZ2cn9uzZg+3bt2Pt2rUolUro6+uDtRZjY2MuVB2LtZMN8ty63ASdJ1mMVquFbDYbcOK1Wg2tVmsKEGIbqwjaDz+RdeBnTkf3hbUEGRra1HATGYhqteraTe9pKpVyGh+dpu2HYpQp1D5C0KZhM70GvTYNowJBbRYZNOqnxsfHHbgkk6RJLXVqOevCdcYobRgbG4O1Fj09PSiVSli7di22b9+O/v5+lwAym826/hGPx5FOp9HZ2RlILMl+qyFVanTYJ6k/C0uvoJokDX0po0Vw5BMGPJ7PmbKxvD+8p+ybymDNxyJAdAjsM5/5TCgr8LznPS80ad9ytrAZcktty7FOM1mtVsPzn//8Kdtf8pKX4FOf+tQS1Ciymcxa60AAwQiAQF4iOmbVo6gj8ENnGt7hy5xOGQhPWKdOjyCC4moV7lLQSidDx1UqldBsNnHeeefh+c9/Pvbv349Wq4XVq1dj+/btuPTSSzEwMIBsNotisYhiseiAVLlcDuhsgEkWig5fQ38dHR1uGj8BBp0rmSYFgmEz8Hguvy3ZbsrIkPkgAAgT/PI+ablhwm/V7vA/74/2Cd5vMn08X3d3twMwQHBFewWr/I1AWtkqnbGXSqUQi8UcSIvH4y5bN8EfwQZBkt4jtmW5XHZ5lHh/s9ksBgYGcOmll2L79u1Ys2YNms0m9u/fj7POOgtvectb3LGsO9vBGOOYKgVHvEcEUOyzvvZJWTdtBw1Dan/T+8l9ec5EIhHo92QxCXLZN+frbyNAdAhMqWzaC1/4QgwNrawMBBs2bFjqKkxry7luYTY4OIgXvvCFgW10bpEtP/NDMWEhGSCYzE6FvQQGdPjq3OnM9FgyEHy583wMLeiq9mRLVNhNETjLyeVy6OzsdO8izsZqNBoYHBzERRddhB/96EdYs2YNhoaGcNRRRwFoLx2h4Sr+J3OhjEgqlUIikUCxWEQ6nXazqegUlSkiU8Nr9QGSZuJWPRDDJNRBsWw6OoIXAgsFRupQVRPkm6850mMVGCnrB8AxGkzkmMlkAmBXxeAKgMgGal+p1+uO+WNbU8tTLpcdY6egUwXqFEMrY0ijHmnTpk3Yv38/1qxZg5tuugkf+9jHsH//fjQaDfT09Dg2kaCYzBTrXalUAgMA1pltVavVHJPlM6y8xz7wVz+pzxCfAV6PHxrUe8Py9B7yfPOVV0SA6CDbRRddhL/9278NbFMl/EqxlQA4VkId1cLEheeee26Ul2gZmmpAKIL1752KTP3s0gAcaADgAIzfB3g8HTyBgz+aBtprcvGlz5BVd3c3yuWym23F0XmpVEKxWMTrX/96vOIVr8Dg4CCazSa6u7tRrVZRqVSwfv16x+wwtMWQjDr9ZrPpkh3qEhrUfSgQUgYpk8k4BoDOjaBKw1xsMxVV++EWLqdBrY2GndQxasiMoEQBjebACdumx2hZyvrQCMa47Ek+nw+IzTW0qo4dgGMx2E/I8pBBpPCbQm+2Mdub2cX1nlDDRX0Xr0vXSatUKujo6MD69etRqVRQrVbd7MKhoSG88pWvxN/+7d+iWCyiVCq5vsZZaeVyGd3d3YE+SCaQ5+Q9Yf/hZ9UlaV9XPR71e9yurBufST4zOkDRlBC8r3rv52oRIDqIxhinby996UtXlHZoJYmWV1JdBwYG8LKXvWzKdr7kIlse5ot8/fCNhi1UBK35Y/wRq2adJgukugrOPvIdLlkgzjximQzflMtlx6LQUZKtyGazLrSUzWYBtJnKj3zkI7j//vuRSqUcY6BAB4BzuGQJyuWyG+FrskRfEwVMTtVXwKPTzFXDo6JqbXuagh/VE+nvKiQHMAW4aNkaxpxum38PZzqXziDTe+afl+X5IVdlYDQbNbVjyWQyALI1/Kaap3g8jmq1ivHxcZcSgOFEbfc1a9Zg//79SCaTuO+++/DRj34Ug4ODsNY60Au0Z8Jms1nk83kXImQd2Bc0DElwrOFUvV693+y7/jPg64uURVIgxGeI4JFtCGDKQrgRIFpCe+c73zllAU/GYleSrSSNzkqqKzAZ21f7p3/6J7zjHe9YohpFFmbKGDC0yZc1WQVNYMf9VPxpjHHMi++EVUeiCfXoaJRl4CBLWQaem2yC5kDiFPyXv/zlOOecc1CtVt3xtVoN5XIZPT09bqV3FTsXCgW3FA+BEPPWaNiJQKXZbDrHDUwyApqygKETvT5lgrRcP6yVSCQC7BAAl09IMzRr+/oMErdR9Mu2UiGwslM0H9zwvpEdYR2ANuNDlkiBpV6TToVn2/A+qnaI7AjvjeYEIuAguGB4jG2YTqdRLpcdwM1msygUCu5YFW9TaE3AQ1H+3/zN3+BlL3uZ21/vBRf6ZX9nP2UdNEGjao9UaM52USZUASzBFdNaKLji86LPHssgk6WDlPlOwokA0UEyrnfj2xve8Abs2rVrCWq0MFtJjAttJdV5586d+Id/+Icp2zkDKLKlN77Mle3laFtZIQIPHhMm6qVT1fCbjoBVFwRMOgrVyBB08FypVAqlUskdo1Pxu7q6kEgk0NPTg1wu5+pKYe3HP/5x3Hvvveju7nban0ql4jQqDM20Wi3kcrnAddE5KltAUS3BCqeNq1CWzBYdP9vQD135YTLmLiJ7ojl5VIPDdlbhspat4S+aOlI9xp8pqIJvBYV+gkku2dFqtXMbMVGhH8bTPqbH87ycCUcQQTE5ANfGBMaaEsHPE8V7x3vLP+ZcKhQK6O7uxr333otPfOITTlBP4JHP510G8K6urgAA5nko9GYfZH3Jfum+/K/bVPjObcqYqY5P//jcaV+x1jrgz75GbdZ8LAJEB8nOOecc/Mu//Etg2969e+d9Q5ba1q1bt9RVmLettDrXajXs27cvsO3d7343XvOa1yxRjSILM9UN6awefqfxRa2iUWUddHoxQ0l04j5Q4nbmftHfGdagk6NOh+czpp1hu1Kp4E/+5E9wzjnnuBF2s9nE6OgoqtUqstmsE+oCkwCHs5CASWCmSRPVEfPaCBTIQPC6GaIhw6WhHWXftC2VOSELxmSBejzFzNTXqAYpzJSlUUcNTC4jEfabmrJzYXUA2uyYn8Xa17H4wnoFYSomJsNDATnDlKwrgYSyRGT1VItEcFQsFgMMTSKRQKlUQi6XQ7VaxejoaICRfO1rX4tnPvOZKJfLqFQq7vqMMU4bRjE/wZfqh8iUhommFVyqfk5DsjrJQJ8fnYzA50VBNu+3zxrO1SJAdBCsr68PmzdvnrL9ve99Lx555JElqFFky9kefvhh/Md//MeU7Zs3b45yEy0DU8pddYFK2QOYwg5x5Ep2iYCAv2mYQc+lZemLnUwLHRunmfuaC56Xs7k2bNiAo48+2s0MSiaTqNVq+OxnP4t7770X+XzeJVJkOIXOS4XSBDeq11CQRtDC/EyabZhhJU0myDadbiYYgRfPRxDCa9dFX+l0VT/is0JatjI0vpPmsXpffP2Qlq0ZoXndOhWfdde8Rb6+TM/P61EdDDVamveJTJlOdVdgpECS905TExBgcemW8fFxZLNZ3Hvvvfjc5z7n2pczFo855hhs3LjRAXH2M1/vU61WA+FLzpLTwQTBIZ8hbWsCHgXYXKZG0zBo+/F3bQt/IKF9cq4WAaKDYM997nPxzne+M7DtoYceQqFQWKIaLcxW8hTwlVb3kZERPPTQQ4Ft7373u/Hc5z53iWoUmRoBgopT1XkquOEff+cL3Xf+HAErqNAwDBBc4Z6/8ziOmjXBo4pM6VAe//jH41WvepXTAjUaDfT392NkZASdnZ0YGxtzjpNlVKtVJ6BVXYiGqHjtOhLX0EZYuMQPOamTVE2WXp/qURT0ECj55fhAyK+n2nShupn284W5/jVpOgEKv5lygW3I31VwTFMNlZav7CJZRZ3G79dTQ3A8L1lDZr1WNskYg2KxiHw+j5GREfT39zsglcvl8OpXvxonn3xygHHxNUP+9ftgh31S7zmZJPZBfbb0mnjNPI+CKdUK6XPIyQAsO0xcP5NFgOgAbd26dTj99NOnbP/0pz+NBx98cAlqtHDr7e1dUXocmjFmxTErDz74YOjSHaeffjrWrl27BDWKjKaUPJ2KjoqBSSfJEbOGy1RvBEwmNCTQoXNRBkBZFxqdIfelYJkOiC//WCzmMjAfc8wxeNKTnoR4PI5SqeQA0bXXXot77703kHlbp3HrVG2dDcS6hTlyBUx0Uuq4/SnTrKsPFBUU0YwxyOVyrk7KBKk2i+0axhJpux6I+XUnI6MhTwWrQFtTqtfo65gUBCnA0rAhHXpYkkoNDyqwDAParBPZJerE2A8SiQR+85vf4Nprr3WAqFQqIR6P40lPehI2bdrklgJhO7OP836zbyqA533UfqNAh981dKjPkWqA9DrYTqrD0zbV9ooSMy6yPfnJT8bb3va2wLZf/epX2L179xLVKLKVYrt27cLdd98d2Pb2t78dp5566pLUJ7Kg0QHpVGc6Mb7UFdj4I2G+nOmoNDTiAwIgGKbRsvWlr46AjplshLUWW7Zswctf/nIXOhgfH8dDDz2E3bt3o6ury4XI6NjpGHVxUTpchiW0fmHsEL8Dk1onDa8pQNLEfr6GyGdNqG1SsKWr0ocxRmHmAxk/ZEZn7IMy35QR0vMrC0Smzl+Cwr/XPC/PrSBH763f5tof/f7GzwS4Wi/Nes3PDCmNjY2hq6sLu3fvxsMPP+zq0tHRgVe84hU4/vjjXf/lLDPeWwXsrLt+9kNkYX1dgRzZKIIf1R3plH5lRLV9mIjU71tztQgQHQK7/vrrVxw7xKRvK9VisZibjbFS7IEHHsB3v/vdpa5GZNOYaon4UtbRL1/WOnNMQYx+Vn0Ev9M0ZMTzAUGA4LMzPCcdm4Y0lFGx1uLWW2/F/fff74TPzH7MBVi1LnSmBCNh7Az303qqcDosNKbH++JndebcV5dxUOEywYbWaTpTlkRFtj7A0//KYM1Wtp8XSetK8OBPtfcZKz98quyHH0pUkKVg1Gep2Fepu+J+GsplkkUCL+Yluu222wKhMJ3azj7M3Ej+lPYwNk5F0Nq/lR1lHfzEpToIYYhPw8f8TduYQJF1nq+tXA+4DOyYY46ZkpX6Zz/7GX77298uUY0Wbp2dnSsyXEYzxqCzs3OpqzFvu//++/Gzn/0ssO11r3sdjj766CWqUWTA5EiVL2g6Br6QFdSE0fmqtQjTSfA4fxudoDHGjXYVWNEx8MXfbDZRLpfRbDaxYcMGt2Yeww133303HnnkkcACpiyHITOeF5iaaVids4Y/WE+GrnQ/np/Xz9G9n+vHB0LaBp2dnQE2TWeDhTlef9tcQmX6vvO1RVoG66HALuye+WHGzs7OQJnTASNN7ujrjrR8ghKdzq/hXfZTv/6+/ovLqlB3qQvfPvzww7j77rsDi6U+//nPx7p16wJ9TYGHL7SPxWJutpx/b/UZ8tuF/Um1cWwfXgfvg7JFCo7YJgR+kYZoEW3jxo34q7/6q8C2X/7yl/j973+/RDWKbKXZgw8+iLvuuiuw7eUvf/mKW5bkcDM6njDAAgSFthzpEhgwaVyYA1RgoX/KqGiYwHfSCrxYBzqQvr4+PPe5z3ULhWazWdxzzz34/e9/71gV6kOy2SxqtZpjjZjjR7UxZIvUyfshHD/hoQIrDQkpe8Gy/FCP316a90YZE+6rOiIFLSxPTX/Ta9Hv/r32y1C2ydcP6f1g3Wa7Nv19ppAjQRLZJz+E6n/X5JNk+PQex2Jt/Vkmk3Fro5GBevDBB/Gb3/zGzSpLJpN43vOeh1WrVgVYKT9lhJrPCvGatY/7fV/bSMOKOuvQZzNZtj/zDQjq2+ZjESCKLLLIIhPTlzVfsr5TV+GnOmgViQKY8pLW8nSUDUyCLQ3RqRMl0GEZ6pxzuRxSqZTLjD0+Pu40Qf4UenXAdI6ql9KEkxrmCDtWna6Gdwio6MQYavEBXhgoUn0N6xOmI5oPY+S3pR9SmYkh8replkjrwvuhGh+2kX9uvw2VbWNYkG2njt/XQfn3xdfmaH4mY9qCfwXVFDJrHwHglgGx1rqUAhSK837wfAROCph1H/858EGzhlF9oKo6IQWgCrYYHlSwyH3nO/s4AkQLtM2bN+OSSy4JbPvhD3+Im2++eVHr8dBDD+H3v//9lL9t27Ytaj0iW7j96Ec/wo033hjYdumll0ZhsyUyvkw18Z/vPJXh0DCTAik6Bh80AMHpyPqi19CIPyLmcdxfswNv2LAB//AP/+BmW2YyGfzv//4v7rjjjgDTwuzP1JYQaAFwDpDO2Z9BFsaOafbscrmM3bt3Y9euXdi2bRt27NiBnTt3YteuXdi5c2cAcISBEW0bJj0EJmeZKSvBdpuN1eF+YYJqLcPPsTRdmaqF4fG8v9pfmLjR14r5ZfH3eDzuckDxepWRYY4gBat6L5Q9AxAAaarX4b0m+8dwGds9Ho/jjjvuwJ133olMJgNrLXp7e/GmN70JGzZscH1OgXlYigVuZx20btxHARzPrYMJ/5oUBGmfUS0fw3Ws03SJNqezaEXJBVo+n8dpp50W2LZr1y7s2bNnUc7/0EMPodFoTFkXi2ZMO/9ENpsNTRqp1tPTM4X2XIkWj8fR09ODkZGRpa7KvGzPnj1TZiWefvrpbtpxZItvHDErsCGwIKNCkKBZlHXBTZqGDRRY6BR335Er2LLWumn1/M4Mw9ls1oW1nvKUp6BcLqNWq6GzsxOPPfYYdu/e7dY6YxhB60HGw1rrVkvn+f28Ngom6IzS6TSKxSKGh4fdauq8Ls5S4/6PPvoostks1qxZE2CT+LleryOdTrvUAKo5UpDpi5591oX7q7ZHNTa6n27jfVbNlO7nn0PZHWWB2F7xeNxl2Va9loJp1ckQiGpyTC6PofdCAazqZ/TcqjVj0k5eh58pXe+1tRZ79uzBY489hmc+85koFotIpVJ4ylOe4n7PZrMub1WlUnH3msuXaP/w9UPKHCq7xeeLYFDbhwBeWTe9NtX1aZ8gYzofixiig2Q//OEP8dWvfnVRzvXQQw9hdHR0WjAEtDtEuVzG4OAg7rvvvhnXU1tpSQ1nspV6LVdddRVuuummpa5GZBOmYRFlA5QBUqfJmTc6/V6dlL6s2Ud15K6OUVkgFYlyf7IxLJsOs16vuzXMbrnlFtxyyy3IZDKo1WqBZTWoHQLg1qJSx0HBNa9BQ106Km+12gkdR0ZGUCwWA5okdWo8plKpYHR0FI899hj27dvnGAo/3Ma6+Vob/x7oNP7pNEOqM1JgpECN/8PyC6kpqNKp975wWhlDZoRmnXgeBUM8XsNWsVh7qryGs1SkThCsAJthSV6bgjB+13vOLNYsnxmm0+k0brnlFtx6663I5XLo6elxjCJ1SMYYlMvlwPpy7KMKtJXR4vUSNBljnPiafd8PSWtf0nc7nxEFR2wjtk1Yv5jNIkC0ADvqqKOmhMbGxsYwPDx8yM9NMDRXs7a96N2+ffui3EjL2IaHhzE2NhbY9pOf/CQSVy+R0UmT9eHLVbPsKk2vzgCYBDb6wuZxOooO09DwM3UZmiNH877QcR9zzDH4yEc+gs7OTsdQl8tlbN++3TlYXa6DDqxerwfWzNLr5gw36pAUCOkio3v27EGxWAxoj1QrRVNWpFqtolgsYmRkxJ1fQYEmOFRmju3NcJSyOz5jpOdke/rsArdr+VqGzzrQyfKcYeupsSwez2vRevpCcWV/tI15X8rlsgNGBNe8X3T+ynwxt5TmogLglmjhfec50+k0Go1GILP5Y4895tYw27NnDzo7O3HhhRfi6KOPnsIuKdPJ+8YBgn8/lHHl+VWrx3ZhXyIo4qCA16r3W2fRkZkDEGAo52oRIFqAxePxJVtQdL6ZN2mtVgv9/f24++67MTAwcJBrFdmhsPXr1x8WocyVZqoZUidZq9VQq9UC2hVdq8sXlsbjcZfd1xdFMyQEBGfpxOPxwAKfyrBYa50TpsCVzMsJJ5zgwhl0VqtXr3YAjCEHddDZbNaVr2ExrqGmddQZZyq8pVOn0+aInk6TDkyZA4aF9u/fj0ceeQSDg4MBnZMv8CXzwanimmPJD0P694zHK7D0WS4/lObrfLQcP/xJYbUmO2RYSPP4+FPyVVOmdWLbMMRFliiZTDoQw/xCPE8sNrkGHe8PQbreM/YB9hPVirVaLdRqNbeA65o1a1y7cMHfE044AeVy2bVdLpcLgFO9JwqsVcyvMxjZFmQ59TnyRdYEWMqW8p7xufR1Sr72by4WAaKDYDfffDMuuuiiQ36ehx56aMYw2WxGoduOHTswODh4EGsW2cGwCy+8ED/+8Y+XuhpHvHGkyjATQw10bvyNI1iGrOhMlBHgfnSQfEnTmeoIW3UsKrgmiNJZZNVqFc1m04U4hoeHnZO45ZZb8PnPfx5DQ0POKQFt3SOTLirLTNaITowJTlk/zkxShiKRSGDfvn0YHR0N6EDoZJX1IGjUUBgA58z27t2LoaEhly2bx7LdOMvJBzK+HkiNbUmgp+3ppwQIY4H8UJia6oz0GIagKOrlNgVLeo+BSUaMvxNgAHD3lloiarbYnv5isvF4PJBt3BjjEu4S9BBoAUChUHAAO5/PB5jBwcFBfO5zn8Ott97q2oj3iMCKi8ByWQ/WhSBGBdJsMxWN60BAE1oy9MXniCC9o6MD6XTa3RvV6hEM6YLI092/mSwCRPO0vr6+KSvYM/Z5qC0srr3QcrZt2zav0Ftkh94ajcaUWRHbtm1DX1/fEtXoyDU/mSL1EzQ6DzohZUb8rLvZbDYQJlPWhdt87QQwGTbjNhXHUp+yadMmXHbZZTjqqKNQKBTQbDYdK5XP5917SeuYz+cdE0Wnpss6kG1QfRLrr+wQgU+9XnfCXLabXhMZLzplgoJkMumyOe/atQsjIyMBZkUBkA8q/ZBcmIWFy8iQ0JSBU43RbMyChi3JZumsKoIcvRbNNq2gWOtB0MjZgAQeBDYEwgQmZA2BSVBBXQ/BpLJMLI99l32Ewm8Aro+QrRkfH8fo6Cg2bdqET3/60zjqqKPcs6A6KV4Tr4Ft6DNRrLMyRqw/s6er/ojPlIrTVStF4bXPkKVSqYghOtSmOgLawQIqM9kjjzyCQqFwUMt86KGHpuhWIlta8/tSFDJbGlO9CUeeDFkoS0T6XrULBEt86XMEraJSncHGzzwvz6HiXI7cCajy+TwKhQKKxSKOOeYYlMtldHZ2IpPJYGhoCAACeYgSiYSbRVYsFp3zp8Oj08xms1McMzDJZHBK/MDAAIaGhlx9NIGehsyAyRQDvEYybcoexWIx7Nq1K8CAs91Vq6PhStp837/ThcTmYqqHYb3JZpDd0eUyCILYpmH6Ih8EKmOkIvNyuexm4ZFF4f3jfaDYGYD7jWFUsicMP2lfSKfTDiQZY1zfGR4eRjabRT6fR7lcxubNm1EqlVAoFNDZ2enqSYDNdlExN8Gr6oDIJilrymzq/vMDTC6QzDJUqG6tdc+nhiwXQlREgGiexs5Ju/322/Gv//qvh/SccxkNLdQefPDBAwrDRXZw7fzzz8cdd9wR2Ob3ucgOvSn9ry9wpeITiQQymYwDGmQHGDpTxkFnnwGT604p8AKC08s13wtf7gzhjY6OIpFIoLe3F3v27EGpVEKz2cRtt92GK6+80iXLAybDe9Vq1Qlnk8kkisWi02ukUimXtVhDcapxYVikWq1OESwrENKRu84Ko8PW0JrOFksmk9i3bx+KxWKARdEydQaTgpn5iGd9sfR8jvNZJwVIrIPOkPLTMBAgkcFpNpuBMBnBBcNEPmMEwOm1mIqB91q1YPyN/atYLDo9j3/vOY2e/QSYBFNf/OIX8bOf/QytVgulUgl79uxBb28vEokERkZGUC6XHUDR3D8+k8d7qc+SzrJj3dmefHb0uWo2m+55IzjmeQkQ2fb8HjFEh9ByudySzNTavn37Ic2tc99997nR70q3hcSNl7vt2bPHCRsjO/RG501nlEwmA5S8MjcENQQRmlUZCK4NpnS+Ogh9cWtYiSNkFeNSF9LZ2Ym+vj5cfvnlOPXUU13IiyN5IPgsMKxBATRDMK1WC8ViEblcLpBkkcAHgHPgdOYDAwMOkAGTzkv1UWwTXjOdG5k0dZpkLwj2du3aFZo/RmcxKVs0k95Hje2o5fi/zWR6DmXAqFEKq4eCZw378Zzj4+MuVxEBFNuGIElFxwS1AFw+LIbPlE2i+F81Q7lcDsVi0QEHLvBKMKL7st7lctmFWJPJJJ785CfjC1/4Anp7e9HZ2YlsNuuADzDJuJEVYz9QBlSBLllKfU7YX1SMT3DHtlG2kYxSKpVy7cdQrzJVc7EIEB2AjY+PHxYhp8HBQffyW8nWbDYPC7H42NjYomjSIpvZOLqls2FoS1kbnR5MIAXA6TTq9bpzZhouIeABEABPHN3TgVJMrboLa60bma9Zswb33HOPC8Pt2LHDzR5jmQo8qEvhyJr7MszDa9VEjgypMFyhI3udWk1A4It+mVCSo3y2gWpo6BBbrZZL8sgQkgIfZWbmCoRomg9H68HzztUUoCoDwrL1fCMjI86pqylLRDDEnFE6M4/sGctg2IjskQqp9d7q/eNMM2qOGBYlQKaOC0BA7Mx9t2/f7vr/r3/9a6xevdolBea1815rX9e+rOFkXr8+C2wfisYpJKewmv1enzmeR8NoHNj7oc0539t57R1ZwH77298e8nDZYtkDDzyAUqm01NVYNONUTf4tJ3v3u9+NBx54YKmrccRamDBaqXsd2ZId4EtbF0Olc+RoXcNG3JdshYptGQKgs+UoXnUYtHw+j9WrV6OzsxMPP/wwvvKVr6BUKjnHSTaADo25iHgesg9kF3QaNzDJLBEw+YyWMiOqHWLIiGEa1UbxOHWI3EbHuWfPHgwPDwdYEp3mvhAm2NcOzTRLbSbTaybI43/dh+Vrzh7VjSlDCLTZn1Kp5HRn2o94/RpKI3NC8MOwlybbJEPHLNIMpREkE4BwQocKzxOJ9kLAV111FR5++GF0dnZi9erVyOfzASG0ziqrVCqBfsrBgursyKbyevhMtFotF45VAMy6sh+pqNpnWtmWDJnNN01NtHTHPOwJT3jCop9TBWSH2h544AGcdNJJh+2SEczYCwCPPvpoAAgt9+t+4hOfOEVbFNmhMWUelJXhy1/DNHwhqzCas7J0tKpMgM6eoiMl+PI1KhqKosNiTpotW7ZgcHDQObt6vY6xsTGkUqmAcybjQAYCgBNQl0olZDIZN3uHoRNlFOg0dZaQAhsNE+psKR3Jc18FRwoyVW9CvdOePXsQi8XQ2dnp6hxWh4XagYbXfZADYMp/f18awR2n5DNMyL6yZs0arF+/HmNjYw7waOJLZYIABJb7IBDhd7KVZPq4pJNqd5hqQY2hp9HRUTQaDTdNf2xsDFu3bsU999zjUkGoZkjBIttYWTJNhKmMj59cEoCbKadMo2pq2efYbgSRGkKcjxwkYojmaIlEAj//+c8X/bz79u1b1LW5HnjggUMm4F5Kq9VqeOyxx/DAAw/ggQcemMIKPfDAA8s6/Pnzn/983vHwyBZmPssBBMND/M8XuQ+e6EiAqavFc199kZOtoAPjuVV4rLlzjDHo7u7GJz/5SaxevRrWWnR2droV7zWER/DAkbcKqAlaaBx1V6tVtFotFyZj+CoWi2H//v0oFAoBRkhDSJrckW2l2iECKDpMti23sT7UFe3atcu9jzScc6BgyL/fC7HpwA/vkTIuPmtYrVaxe/du7NixA4899tgUsDg8PIz+/v5AtmneU9ZZ0zaw3f3lOXSaOo0zBcvlsitf+4gCcfblXC6Hzs5OWNtO+Plf//Vf6OrqcufXZ0ZBbli/1vbmM6DMFO+xLgtCFkmF1NreWg+GdTVdxFwtAkQLtHK5jF/96ldLXY2DZkThAFZsfqLpdFDVahU7duyYFfA8+OCDy2Zh2F/96lfR7L8lNj+8oy9yahvUEShToswPv3Nasx7nh02UcQGC4l1qNcbHx1EsFrFhwwaMjIyg1WqhUCgEBmw6guYUZoYQ6DzJMHBfTnmmI+KUdxUCc38V0bKOZHDYPiqqpmPyAZS2rQKMcrnsZjqNjY3NSzw9X1sIuJqLRoWDLn/farWK/fv3B3RSem8YTt27dy/GxsYcWAzLpq3tqayQTsuPx+MuwzTBk39vqGljegf/2m6//XYHhEdGRrBx40YUi0UXwmR9NK8Qnwnt28qMsu6JRMKdl8+Nsq+8NgIsAG5fnsfXgil4nI9FgGiB1t/fj0svvXSpq3HQbHR01HXkhx9+GPv371/iGs3Pms1maJ6mSqWCnTt3zhnkPfzwwwe7aguySy65BPv27VvqahyxprNddERKx6wsh45W+RszC/MYmoYSNGSgOgwAU8rXmVGJRAJdXV0oFApuBtzevXvx/e9/3yVJVDCn7BD1KQwlMCThZwBmckfNE8RwFttHWSwVcdN56TIbBE50/j6o8q1UKrmR/u7duzEwMDCnmWCLZdOxQ7RWq+U0mbpvtVrFwMAAxsbGXGhLmT8CVbbVjh07nFiZ7cF7oWUroKQ+SWcH6vIf+p8z1ZQl8kFFvV7H9773Pezbt8/lQSoUCujq6nLaN953ZcVUg6csH/chIFKxu+qCKpVKYHAATII+tjH39ZlHsm3z7TPLp4ctc3vLW96y1FVYVHvssceWugoHbJVKBbt3754347VcgciR1geXyjgSVZGwijzVCQGTeVRoPhBSx0AhrIbjeE4fKPjhFjqdeDyOF77whYHlHowxbpFVlkEQpAuB6iwezVXkL6/hAyF1uKqj0hALnZdOQ1dA6V8v/yuD4mtyGDobHBx04Gq5h/S1jlpXMkMKlOjE2Uaao4lljYyMOJCj7azlqwaL/WW6e6riZIrsGeKksN7vQ8Vi0QFkMk8vetGLXB/V+vpARIE+jSFATTMBBFM4AMHEtD5LqwBKmVmG1ZRFmvO9m9feR6gZY3DxxRcvdTUOuTEhGo0rZ68E82fIMZ/JQkJgu3btOki1Orh2JPTB5WLq0NW5+c7Yd06aZ0hfynxJq+PwaX11bn54gLOtCK7OO+88N9JnYkhOz+exykDpzCwFIyrG5ew2AkAFQgpUptPM0JHy/HSedPJ+e/rX7Fu5XHZ1JyhSLddytVarNSXcXa1WMTg46N6xet0KoHm/dKX2gYGBKawIEGSF/Puk4ShdCJaMoH88Q2aaH0rLozaN4CmZTOK8884L6L403Mb+FwbcFMCwXn52c9ZB+z7r609A0H4a1rfmYxEgWoAVCgV84QtfWOpqHHTzQcWePXuwc+fOJarN3M1aG6h7rVabV5hsudrll1++rIXeh6sxNOQ7GAIFFUb7AMEHQgACS1sACOTX4ehZz6fsC00ZnXK57JLspdNpDAwM4LrrrguE7jji1ySIZL040udyIgyr6HfVRvnOTOtnTDv9gDphzeg9HegLa3Mt01qLSqUS+G3//v1u5tlyNoae2IY+GNIQkpoPQrgv+xIzWocxdv5nzWNEUKHZm5lOgX2C/zUkRUaPz8N1112HgYEBpNNpl8yzUqk4cb6/XIfP4LBP6LURRLOOLIMsmea98ttKRdhhAN6f5TgXm7VnGWO+YIzZZ4y5V7b1GWNuMsb8fuJ/78R2Y4y51BjzkDHmHmPMH86rNivEyuUybrjhhqWuxiE3ay0GBgaWuhrzMs4mW+lgCAB+8IMfRMLqEFuMdxKdkoIZBQRqGkLSbTqa1VEtmQAFEXosnaCej6EFjpxVMFuv1/HTn/7U1ZszexiKIGChk+R3zTUEBEMqxkzmVPJBEZ2ZJlNUHYffNj64C/vuG49T8NlsNl3S0oWEzmba/0DCcLyHfpjMmKBmSNMF+OCPfQVAADCxrSuVimMCCT6mA0bsL2TtADhgoUuBWGsDGiD2DfYbzgxjf7/11lvd1HfuByDQN/1+q9eibCmAKYMOBWDaDnpdYW2sz6SueRb2rM5mc9n7iwBe4G17F4CbrbUnALh54jsAnAXghIm/NwC4bF61iWzJbXh4OPDdWotHH310iWozN2OdG40Gtm3bdsCsSqvVwiOPPHIwqhbZobEvYhHeSart0FGtflaHoQJRHb3608x9gTYQXPcLQMChqRA1Ho8jl8u57MQUVhPMjI+PO6BDh8S6ELCQadCkizyXtZP5XshKsX4+k6WOVBPw+YCJjkx/pyk40v/cPjY25lgrMgb9/f0LCp3NtP98y5ru2Fgs5iaojI+Po7+/32V01mv3Qzssg22lM8rGx8cxMDAwJZEmMDmrS9tD+4qGy3SBVy7mqsJulqOslOZuI6tYKBQc2OOyHuz7nLnIe6bXpO2ldVVGh32P/Y3b2R9UxM/+SEaT/VC/zxfozgqIrLW3ARjyNr8YwJUTn68E8Oey/Uu2bXcA6DHGbJhXjZah3XbbbUtdhUUzPz+PtTZ09tZyMta51Wqvy3QwbLle85HUF6ezxXgnKfjhaJmjbTosgh2+dPmdRoemoQR9WQNBZ0pHwO2q6WF5qVQKH/zgB9HV1eWW7uDK461Wyy3eqswK/8diMTebrFQqBWaTUezNsAUBlgIW6qPoYNXpKfDi9SqbpGyPXvd0Dou/M5u3MiJcyFZnt81k04mcabptoeE41kdBQaPRcGuHKdMRxupoG+nvvJd8r+mSLn46BC0PgBPPU4NFBoeAilmxmYjTnwzA68jlcmi1Wujs7EShUMCaNWvQaDTQ1dWFCy64AKlUyt1bglbV1pG15GdfcK19TfuuH1pj22l6AZoyQwBC+9xcbKHB2HXWWipu+wGsm/h8FIAdst/OiW1TzBjzBmPML40xv1xgHRbNnvnMZ7rPxWIRb37zm5ewNofe/DBZs9nE73//+yWqzczGuo6Pjy/bOh6IvelNbwqAPO2LkQXsgN5JYe8j5mVRLQ2Fqn64y5jJFbb5Mlan5VP4YYyLMlI600hn4RSLRTznOc9xi13u3r0bF198scsJQy2dairoVGq1mkvUl8/n3Qw1YHJ2kSZh5LG+HkVn4IUBIV6ThtK8tp4VyOjvo6OjgVw89Xodu3fvdizabKbsSdj+frhyIUYAy0kcpVIp8B5VMMTv/jaeX1MX+CyLglMKr31RsvZNapgY5gIml7XI5/PuntdqtQBw4/G8Fua++tjHPoY9e/Y4AH3mmWe695P2U5810mdCcxPpvvyNfUaXn1EtkQJHzetFUMfndrr7PZMdsDrNtu/QvAOw1trPWmufaq196oHWYTGt2Wxi27ZtS12NQ2rj4+OBqefW2mmTHi6l7du3zzmQ+++/f9mtSXYwbNu2bQt+SR+ptpB3kv8+ojNSx8/lK/wZMQQ2ftgom80GwJCcy33WhTSB4EKvHKFriI0Opl6vI5PJIB6P49FHH0U2m0VXV9eUxHj8SyaTzgEWi0XHHtCZcgkJTa5Ih8QROUModEZkKjSrt4pile3wZ0fNZsqkjI+PBxhbOmM6QXXe09l0miMFKAcq1h4ZGXHvyV27djn9n39eP0zKzwoafJaI/UjviYa1CIyUPQLgGMZUKuXWOtPkjUzVkM/nkUwmA32GdY/H4+jq6kI6ncajjz7qloEh68S6AJN5gvwZlSwrrHwfHHI2m27XfF06sODzoKE/1ius7WezhfaAvaSdJ/7Te+4CcLTst2liW2QrzHxxZKPRWHYLjmod55uiPbLDzg7qO4mOgKEQDUkokNCwGPchvV+tVt1LXJ0tnQFH7L7+Q2dtkQlSNodhDmaXT6fTGBkZcete+aECay2KxSJGR0ed8wPgwB3X8CuXy4GM05qFmCwDwyPKjrHOOnJXlkgFtrOxQz5I0NAZjetz7dy5c86hkek0R6zbQsIrQDCTODU2yrjw3NzXvz69Zq2H6tG4PxMpApNAmgCHTJAxJpCQkb8xU3UulwvoxgiSR0dHp6Rd0XQKY2NjKBQKSKfTjm1k+JXXzn5KsGqtDSwPo/1Bw6r8I2httVqBtcz4X/s2AZcCcLK5ql9bLIboOgB/M/H5bwB8R7afY9p2BoBRobEjW2HW39/vPrOjLhdj3ZrNJu65554lrk1ky8AO6juJjkQdPZkWX6jM/6onAoLLC/AY3UenphOI0BGqE9XQHYGY6lTGx8fR19eHjo6OgKCa500kEujp6UE+n0e5XA7MOGo2myiVSkin0y5nDUfoPhCq1WpT8i4x9wwzHqt4XJ2c2kxOSlkfBSnWtrWMdOTApB5rPsxOGBib79RsNYZKh4eHnR6G2aV5Pp8R4XF6bTRtP14bt5HtoSYImAQMBCgKjDgrjRnJ0+m0019xZmG9Xke5XEY+n0dPT0+o/qxWq6GjowN9fX2OjWHf42fWS/Nd+YkmVSytYFFZV/YZfwo/nwn/j6BL247toO0+V5vLtPuvAvg5gMcZY3YaY14P4MMAnmuM+T2AMye+A8D3ATwC4CEAnwPwxnnVJrJlZdbaACiqVCrLgiXq7++f8hKJ7MixxXgn0ZHU63VHx1PkTACkM8xUw0CwoVoQHVBwhEz2iYwMHR5/o3NQEBKPt1epp6ans7MTjUYDlUrFjaL1XLFYewkErnlGoMPzcSV5XRSUIfJ4PO5WRwcQYK40JOPnJQoTCKtzD7mf7r8PJHSfRqOBUqnkxN/lchk7duwIAJrZQiS+g/RTHsxUxnQht9HR0cC0eIJDvQb/WAVyfhtp//LDaNT86KwxggJrrasHgZG11i30yhAe+ww1YWR9RkZGAkvOqDaMrFyj0UB3d7cLSeVyuQAbwz7N+896MrSmkxE0iSmvD5icJcfFhn1gzd+UkSKD2mg0UKvVHJs6X7A76/LZ1tpXTvPTc0L2tQDeNK8aLHOb68NyuJq1Fnv37sW6detm33kRTMGQtRZ333330lZoESxshH2k9UO1Q/1O0jDK+Pg4MpmMA0I600rZHToD5oDRsBGZFAIezR5NYKNOUYEQAPfyz2QySCaTGB4edutIPfzww8jn8xgeHnZOhiNjjpg5I41ZqekEmQma0+8ZAqRzLZVKyOVyyGazDiBp2WSrCIp4PnVc2k/V4Xv3yP1XcESHrPelXq+jUCigu7s7MKuP59fp6tMZw1wqavfv/3T9gseTTSsWi6hUKsjlchgZGUF/f/+cQ3Bh7cT/mrxTwRJDRWTl2DfYpwiWee/YZrxf1JC1Wi1ks1kHKhg67ejocOuZKfNWrVZRr9fR29uL/v5+bNmyxTFj+Xwe9Xod1WrVsVf6DBHsqDCeYT1ev2qPgDYrxTbgAMFnAlWjRMY0mUw6AK/P8Fxteaf8XAZGtA+0GZIzzzxziWu0+NZqtZzIulQq4aGHHlqSeuzbty/wgvx//+//LUk9Ftue85znuBF8LBZblgL3w8noMDmyZp9jOIBMET9zH4IkOimOZFWorA6cIASAGw3raJpME51rKpXCtddei7Vr17ps7O9973tRrVaxfv36gM5JzzE2NuacuLUW5XLZsUtAkB2KxWIoFotOX8IZRiq4pQPXxI0AAiBMR/xhTMlMIMQHQepUCSCZ66dcLmPnzp2uXWdiBHydDhCc4TRbn+B/gqFCoRAAATt27HD+IgxozVa27q+zqHxgpYJ71dMkk0k30zCfz8MY49YgY4iM97qzsxPj4+MuRxL7hia+1LolEgmsX78e1WoV73nPe7B7927UajWsXbsW1157rdOWsc/yGlg3giBgUgjtM2QcMLCvcSChecB4vIqsObjQfsK+PB8wBMyBIYosMqDdCQcGBrB69WrX6eYTn52OOp6LWWuxf//+wMvuQOL+kUU2m1FLw88a7grLFKxggYkPKawlQOIzwJc8P2toApjU/QBwACAWi2FsbAwbN27EyMgI8vk8UqkUdu3a5dgCjpA5Ek8kEshmsy70x5w06XTaZU4mO0TnlU6nkc/nMTY2hnw+j3w+HwivaFgEmEwgOZP2RZ2ZHx6h+b/721VXxLJHR0cdqGM7z/ReUNaJbJeG/GYyDV81Gg0UCgWnxaLoWFnDsGuZyTTU6IcYFYQqE8nr5jpj3Jd5g0qlErq7u51ImdqcRCKBUqmEVquF7u5uB/AZiiSw0rQGnHnMcteuXYt4PI6RkRFs2LABY2NjAZ0T+4fmDCJI1DxXOjOO10mGiQJ1Mql+nwAmQ7a8F3xOyXLN1yJAFNmcbXx8HIODgwDa08GPO+64WY/hg7t+/XoAk2LouXZWa61b6VrtSAiVRbZ0xnAMR6sUj1Kv4TM96rCste4FTQem4SINkXGkr8dw1AtMMk/U8rAeFBivXr3a6Tu0ntSycPFXXs/Y2BjS6TSy2SwajYbTo3CEzSSPnZ2dzonSkWrCPTpLFVAzHKK5laYDPtOZ/3uY7ohOttFouKz08Xgc69evn9P0+1gsht7eXgDA0NCQK3Mm0/Dn6OhoACxwIWmW4YcOwywM+Gk4Un/3GSf+17ClsilkGDs7O9FsNlEsFh1wZIoF6sM4Iy6dTru17MgaUcjfaDSczoipJIaHh9HR0YFUKuW0OwzDKihkv2bbszy/n+vMRp21x/30GSOANca4a2afJOPXaDTcczqfwXMEiCKblzUaDQwNDbmRBTuvb9y+du3awOhr/fr1aLVaLmnZTJ212WxieHh4ypT6wzHfUGTLyzSUwpcvMMnY8LP/mzoDrgyuDkxH/wRTusI8R/90hplMxjkta9ti5+7ubmSzWYyOjrpEgNQGAXBsUS6XQ71ed2ApnU6jp6cHpVLJATvWjWGWnp4eN72azIO17XXPGIZQloamjMXB0riFhZLYRsrekc2aieXxgRDbeNWqVWg2mxgdHQ3MfvJNAZiyEclk0ulryPLpTMLp2mK69mHf0H38bbxOvQdkJMnOEGBUq1X09PS4UBpnE1KQrSyRrm+WTCZRr9ddjiPuS2F2Op122dFHRkYCIVQCLW1nTe7J9tT2VhDN8kul0pRs5D7j6OcEYxvxeZhvOpYIEC1zY+ddTiGier2Obdu2IR6PY/PmzaGgiNOAwywWi2HdunVoNBqhi8fyhUJa2rf777//wC8isshmML7cgUk9B1/gPiBQVkKFpHxZA8GQiwp6+RuP0aR2PlvAac0chcdiMSecBeC0PkxMx++ZTAatVssl4eOonlO3Ozo60NXVhdHRUWQyGSeS5QiezIFOsfYzKPtA7mCYlsc28NkXiob37t2LeDyOo446KjD1m9bb2+tAkeqRyFpwSjkZIzUC0UqlEtCUcsbX9u3bHTvms4VzYYv0+ng+ZRT1dwXfyhjpvVFmJZ/Po1aroVKpBMJjbJ9UKuXCZ1zCQ4GP5tyiNojnLhQKTifHMJsyhcAkmxfW95XhUVDDOvIaCIp08oKysXqvVW+kZczVIlH1Mrd169a5Uc1yslqt5lZxJpVOY26S2SwWiwVAEx+EsbExDAwMRExQZEtm1PCkUqlAjiA6HX/2jIZUfJqeGh0+E5q4jpoKYDLfig+Y/BXIOzo63MwvoD3ZgwCI4Q4yAePj46hUKmi1Wm4hTopQ+fxROM3p1NRlMAWA5jZiPiN1+ECQxfFDOws1P/QSFobj9kqlgtHRUZTLZcd0+PfSZ7X0HrJsP/8NszmPjIwE2kGZDn+w6oe7Zgud8Vy6fxiICgND/K7sIO8dGRK9t6VSKXDv2d8440yzWTNbNLexL/E82WzWrX1HIKKCag2hst05C5LtTlCuMzcJ6nhtqp2ir1HNkU5I0PvNc83HIkA0R7PW4he/+MVSV2NZWb1ex/DwMPbv349SqYRarYZareaWEJjNmBKex5VKJezfv989dGHG2SVHmt1xxx1LXYUjxjTEpbS+Tm/2tQwEB/rip3NQnQ2/8zeO7pVx0fCIrkRPh8AQ2z333ONG4ABcmAuYnE1Ex8Z8LarVIIOlzyBnIwGTLBk1TnoNM4WB/P9+u85mYeBHBdFh+zOsMzIy4rIuM4cUszH7AItGoMQs3mTPCIQUYLEeLE+zgytInM+1Ttc2CnTUwkAUvzNUpJm9mVSzWq2iq6vLsZeq2WFILJVKuf6ksw/ZL9gP77nnHgdcCFLYDgT8bFud/q5rkjEECwSn0AMIPDsaIuM2HXxoxnh9Rqdr15ksCpnN0VqtFt7xjncsdTWWlZFiP+qoo1AqldzCkj09PXMWTVcqlVCaejp79NFHFwUQLTdW7h3veAd+8YtfzAloRnZgpiEg1YOEjcwZBuBIW2cAEVDQcaiD436qG9Jz+4JsMlXMSr1r1y587nOfcxoR5pahU6PDIAhiHiQ6czIEZJdyuRzK5XLAsTMMEjYLyw/x+Nv0uzICc7HpGJaZnJu17eVJMpmMm52kU8zDhMp6D5Vpoi5Lf/cBD9m3vXv3BvIwaZhsIcDIbzeW1d3dPaX/hfVFYDJ0SgCpOYq4nEwmkwlM3Sfo1gSKZEPJOrVaLeRyOYyOjuKzn/0sTjrpJGzYsAHDw8MOSPmaHhWfq/4MgDsP+wb7LoETr1HbW7VHCoy0f/E5m0njOp1FgGgGO/fcc+cU+jmSrVwuuyRgtEKhMCPLozYf0dvg4OCigKFYLIbNmzcf8vMs1OLxOM4991x8/vOfX+qqHJamL22dRs/RtDo6Oh11rDyOYIL//SnfGiLTsIs6bTJIXV1dOPPMMx1I6u3txcjIiJt9RtaJbBOPpV5I874Ak2E8AiEKsYGpi4mG5dSZiSHyWZIDeWb9dp1tX16LMl2lUmnOubv891EYoNFp/wSZYUtFLCRk6AM0On5OTvFBkX8uvWf8TEDBuuZyuSmiZzI4BN/sj+zzBNTMhD0yMoLe3l7XN1760pfipptuwtDQ0LT3i8+VzqBUXR4Bv35n+cq++vop1l1nhmoagvlY5O1nsI9//OPRiHwWKxQKKBaLgW2cxTKbNZtNxyrNxXbt2rWg3BKHm8XjcVx88cVLXY3D2pSOV2ejL3MNmXEbX/r8ryyShp/4u+pROCpXsEWBcLFYxJve9CZ0d3ejUCi44+mIY7H2Eh38zvpQbKtOirOjYrGYW+VeHQdH4tx3NqfiO2ofxByolsgvZ6bylKmmUVc1l/PMBJx8RmZwcNABFp1yP1cAN1M99JyqP5vLvdB8PyrsB9qhKAqmNT8W7xmBk7Z5PB53MxXZh9nHx8bG0N3djTe+8Y3uva95g1imzjLTMBrBGvej6Ww5bVf+6XZ/Vp9qWud7HyJAFNlBN4o457pvZJEtNyOTo+CGL2jf8etLms7Fn5qvo1sFRUD4elrczhd6tVpFOp1Go9FANpt1+1AHQrG16p5Yb9ZFQRgT3qkzV2c1l0zLcwVAB4vVnU6bNJvNNUkfp6nPpQ7TfQcOHADOVPZcTENn7LcazqO+TfNM+ccoK0Ngrku1sH7MZ8Wp9mRLw4iEsMGCLiarfY7PkAI1fdY0RKaTHvQcC2m/CBCtAFu1alXgJbjcbGhoaApLVCgUZuyQ1ran1c/VNPFZZJEdStOXrU6915lffsgMQIAlUE2QOiOO4LU87uMzUsAkW8NFV5lBm7oVOip1RpwqrWkBWEdqinQmD8/HKfu6Lcy6u7uRyWSmDd/M9NwvFCz4x83EFhUKBceCsD5MVRBmBID+7LSZ6jEwMBBINeBPtT8QmwsTNhdTLZuyL9zGfsB7rho3AifNyK5JPAm0m82mE1H7OiJeA/djn2dYTIG7Phusi7albtdn0H+e5prmYNo2W9BRkS2qMU3/cjVOdVWrVqsYHh6eVmswPDw8rzW5uFp3ZJEdatMXLYEHEGQo1HnQdKaN5k4BJmfR0MFouIvfNSzisy+0TCbjQmvWWqcf0vMSNCk7xDpwGr0xxi3iSp0UQ2l6rTT9ns1m3X7+Php+8bUeYeXO1ebDPlUqlYCTN8Y4rWMYy8TQPcNCM9WB+iGu+aVMhK/9mq/5ITl+1/XMZhtkhn1naIx92drJpJzUjimjQ5aIYIf9lKGySqXi+nY8HkcmkwlcA58PbQcyN9o+/K5pEZQ90vPqYNh/PnQAo1qphfiLSFQd2SGzWq3mlvrwbT5i6u3btwemkR5q27p166KdK7LlaQwTqLiaObOU9VFAA8DpLyiW5miZztMfrfuhMyCYvZ3AiudjLhyO4HWGG0ffOnOIa5UZY1yYjOENzW2UTqedAwyr30xAhM5rOgb3YIXMtCxfZ6Pbw8J3DBOq+FbZEJ+ZCzOC5H379rn3kWpwlJnw6zFTmf41KfCKxWLYuHHjnDREYaFcYJINYoJOZSXZP9g3ALhtZBs1lDo+Pj5lFiOBjJ9gke3j92FfX8TUEiqEVmE4z+HP3FPxNe+xf6/mC4oiQBTZQbE9e/YglUq5NXNo802dHmbMpLpY5l9DZEeWqXPTnEMKgnTWGDCZIZcOhHQ/gYqGVnRBUQVVOouNeiA/pEZmiXmDGErjSJ9sETCZsJEz0Bha851atVqFMSaUhZ4uJEYHxev3xbk81gcK87kHPmOiYSn974Mfa9uC546ODuTz+UAZfi6c+RrZJp0dqLOhtJ5ar+mu399Hw0f8jdcwXYjSL88HRmTzGBIko8N7D8Btq9frU/YjOOLSIATmCqg0PxefA2OMa2t/aQ6dnUkAzz6lzxp/J7jx+5vmH/LLXYiOKAqZrRA7+uijAw/3cjNdHTyyyFay8aXNFzyZImWLFBjpd2WVCGyUzvdDTX7oBkAADCkIi8fjLjeQaoeSyaRLPgi0w8uVSgW5XM5lrC4Wi6hWq8jlcq6MYrGIRqPhtnG9NLbBdM7EGIM1a9Y4HVFYapIDmXYfFjKcqayw31QPNNv5wxia6fbR/DfqhH0WzQcmM10r9wljtXQgOBcQ57cbwXS9XkcymXTr2xWLRZeviPmJuLRLOp1GLpcL5GRi0spkMolKpeK0RCxD0w6oTojASK/Dby8ez3qz//P50tUMuE2fCdYPCIYXAcxbahIxRCvE5rocxuFmjzzySDQTLbJFNx25AnBghwJS35HRedER86XNvssRtK7mrcYwgY5w6Ry4Ej0AFItF95khs0ql4sBUOp3Gxo0bUS6XXbLGVCqFnp4eVKtVjI2NORapp6cH9XrdLeZKsOYnYwxjazhtX9vADx/OBVyFtYOvQQnTpGj5PpAApjpG/V1ZCmX0/P3C6tXf3+8YNZ/9ChNZz3b9ut1nmtjOyjDOlSHy92M5vNfsD2SECKorlQrK5TJisRiy2SxWrVqFQqHg9FeJRAKZTMaxPwxp8Rw8P1kj1sUXdbNd4vG4SxbJ0Bq1XAzp6pR/X0vks0xsR7Ko841QHHkeNrJDZo8++ijGxsYOapmaY2Ix7NRTT120c0W2PE1f6hztctV4flcKX1/MBDvcRiZHc7ewXO6vITE6Py60CQSXI8jn8+jt7YUxBsViEc1m0zm41atXo9FoYNeuXahUKshms+jp6YG1kzM6s9msC3NwogKZZy7fEAZo1HwNhy+W9Z9X/T4b8OC+/uDP1+eE1UdZFmst9u7d6wBk2DuEDnYmfY5fdzLhWqYCYP9ccwGDYe3JvnPMMcc4lnG+DJGen+J6rkM3MjKC8fFxpNNpN4OZM4N7enqQzWZRqVSwa9cuNBoNrF69Gr29vU5rxlnFvb29yOfzrn/qzEYuzaF9G5hkc1S7RZCuM9tUdG1tMAcY/9M/UEjPZ5Nau/n6joghiuyg2eEwCyxKxBkZX+JkGXTqMRdG1Rc0QQSnxwOT1D5ZJQAO5PiJA+kAVTukzBTQfrGnUimUy2UMDQ0hn8+jp6cHY2NjsNY6nR0XXyUbVS6XkclknA6DYupMJuPyGnEUrcs9qHOfDij4yRs1FDLd9Gf9Pl34yw8fKWM2W5kKQJQd8Nkun3Xx/093nIJU/3dlsvQYv14+SPK3s+zx8XFks9nATMH5sET6mewT24TAiGxQPB532b0LhQKSySQymYzbb9++fQ7kjI+Po6enB4lEAv39/W4NPZ+d4nUwy7WCRm0/gizdX58pZmP325fh6kajEQhFK8jNZrPzGqRHgGiOtpgsxXS2detWPPDAA4EcG5FFFtnBNZ29QielM7n4wjVmcmYNP9dqtQBQKpVKbikBDSHQKWiYDJhkROn8NWtwpVJBd3c3stmsC4lxRXI6LoZz6ICoF+K1cLq1Jmuk89H6TRd6oRljsH79ereCeph+xndgYWVMB27CmBbdR2dh+efz76HWCQiyTbPJELifzhjU+ihbNF0baDlhv+l2/sZQnmqx9Lyztau/D+vJWYgERtSBab4f9pl6ve7Af2dnZ6DPUoPU19eH8fFxDA0NOVaG9de+rPXRPmfMpECbvxGk8ZnR31V8zfusjK6ms5hLok3fIkA0R5sLXXkk1GE2O5gs0SOPPDKv5I2RRXYwjC9mnVqtDpQvXt3GzxoC4CwcOhbm/9EZaj6LwVxGPK+yR774FIBjgijYpjA6m806p0qNhg8e6NyU8fKB0EyOV5mzMGc3G5sx0yBTHam/fxjr4v/G+9JoNKbkyfEzIs/EhvH7+Pg49uzZ40Jw/jXyuwIYn3may7X799s/XsuezXyAFo/H3Tpl7A8KWgiS0+m0C6tSv8P8Vrqsi9ZZV6f3AY9mbQ8TVxP0c909Mpesv07t19mfZFL9Z1VDc1HILLIltYceeggnnXRSYLHXlWJ/+Id/uNRViGwZmM+Q0DEBcDO86FiBIIvAJRGASUeho3Hmw6GT8fOq6BIFANwMGzoV6oby+Tzy+bxjiSqVCorFIlavXg2gnSx1ZGQEsVgMXV1dLjM1dRsM31WrVed86CxVRzSb41XH5zNMYUyO38az3Qc/vKLnDaubgrNWq4Xdu3cjkUggm83OCvb87Vo/BbEzMWfcN4w5CrtmH1zx90QigeOOOy4gtA671rneH+b7ITDKZrNuEgDF+R0dHWg2m24Qmk6nXQqS/fv3I5VKIZ1Oo1aruRlnw8PDrs8ytQMwCWJ4LTqZQPsFAFcX3lNdY42/ax469jeWx/X6lHEiwMvlcoGQ42wWAaIVZkeKxmWxxdSRRUZTcStf1JrwEIADRX7oiWGVVqvlAIiCJx0hU4+koRGG5ugI1VmOj49j7dq1iMViGBoawsjIiAtvdHZ2orOz0wmlM5kM1q1bBwBuVfaOjg4kk0mkUik3My2bzSKTyWB8fNzlmdEw3nTMCTA524xibB8IhTEkfmiLNh1AYlnKBGmYy/8dCIbBdAbZdEDIZ3vCWBiWM10YzC+P2+YSLlQRO+87WUW9D9PV028vbXeCEeaeYrisUCggFou5kFm9XkepVEJHRwfWrFkDoA2+h4aGEIvFHNCuVquIx+MYGRlBrVbDunXr0Gq1sHfv3gBryeuiyFnbmeFHZd8UyJZKpYBWj/XXa2f/IrtEtlUF2a1Wa97ykggQrTA78cQTcd999807NrrSbOfOnS4HxmKY5rqI7Mg2P4TCEboyJwx/8Y+Oxn9x0yGRKeLLmiELblPnpknu+PLnCHh4eBhAu7/mcjnE43GUSiWUy2WXZ4ZC7oGBAQDtEXZXV5ebYk1HmEgk3DRrju41JDhbuCsej2PDhg3YsWMHSqVSYMq5AqTpxMt+eWH3IQwI+SG6mcCWD8y4n9p0OiKt6/79+1EoFKbU3a+j9glfPqDH+Z/9ayFI5T0Jq3eY+deoIa5arYZSqeRmJVInxNBuV1cXyuWy6zf5fB59fX0ubxFBWi6Xc6wSVyJgHwUmw1ZkasJCXdpXCI7IYhEIApPaLQIp9iuCKNUTsXx+Z52obZqLRYAosoNu9Xod2Wx2Tg/wcrEnPOEJK6q+kR06UyYBQOAFDSDwEgYmAQwwuUCqMcblEFKQRLEpX/AaZiI7xDrQuav2KJfLuXNR45HP5xGLxVwGZa5v1tvbC6AdUuBIn7OWmLE6nU6ju7vbZXBWB+ZnF/aNIT5dbFOBB8tgW/rtOlP7K7AJA1HTsSNh969arboZVLqvljGTfkjBzXR11/r5OqLpZtyFnZezGzdv3uxCR34bzOU95d9Hay3S6bTLzzMyMuKmuCeTSSfSz2azrt+USiWXoygWi6Gvrw+tVgvFYhEdHR2OyYzH425tNz91AOvqp3PQpV50eRAAjhki08rBBNkyPjv+vVExNc8ZtubeTBYBohVomUwmkFV2udkjjzyCxz/+8VNeQpFFthLMd2gEPByh8oXOGWdAUORMs3YyyZwuwcHfqN3x9TbUcxBYsexGo+HqwZld6XQaxWLR6ZXoBPzp/cw1RIaIz2ar1Qoka6RNp1uhKejIZDJOn8Jtc9HPTGcz7TeXcnzGaM+ePU4oHFZ/BX3TAY/pzuuDtzAQFdaOPmhTJk1nH/qgU69xtvvjM1ZMGqpLmpA1zOfzTlOkiRZVoMxEn+l02jFABNgEQ3rtnG6vM8T4O9dX02eCoInPDK9PM7YzhEYgpkyRskN6nvlYlJhxBdqWLVtCM38uR+Mo2f9bTracl0SJbPGNI1z+qXBYR6EEL9wfmBzh62r3GuJRJ6WjXD0fX/rcj1mkNZeQjnwzmUzAOegaW8lk0o2wueQCl/zg7DPmJGL9WSdg9plgDJtReD7ddPiDZWHAwzef1VJ2gowI/1NXNZdy/d99AMjPer/9eod913IAoKurKxC2DJu5O1s4U/fh8RRFW2vd/Wd/KJVKLp8PZzNq9miCEJ2x19HR4fJacQabgk7VErGPs066pI3PJNG38RgVhiv7xAEFw4q+1syY8PX5ZrKV4VUjW5GWSqVcVl01ay2Gh4enje1WKpV5xX0P1LZu3RqFyyILmDq2eDwemAWkwMgXE9OBcJsuXKk6GCA4xRoIrvGkrJAOIjhqJ+NEcKRLVag4miCJwIpsF1kksk48j4Y1wpgT3/T6gUkw4jMlusL8fADSdIDKBxFhv2kZrVZ7CZOurq7Q8xQKhWnfOcqaTMcS8bfp9Ehhx4SBpFgshg0bNrh+4wO0ubyn/HumujeCDbI8ZAI5zV71PI1Gwx1D8K6CbwCuH1WrVRceJnjS58APpfrXo/mFwhbL9df10+fRD9NpCHe+aWAihmiFWl9f37J24plMJhQMAe2OyjTwYTY0NHTQlwCJLLL5WNhL1nfCqh1SdoS/kbKn49HfW62W+03Px2M5O4ejc4ZPGPZgyIEJGbUsAiRqjziy1pxF1AzRCIZ01pzaTGEfAOju7g6AMoYW56t98W2h7JLPEmWzWTeF3Ddqs8ie+Ma1vHzGxwc1s4FHtZmuS0HpbPvOZD7YUOaFS5CwL7C/sq8QCOn6dgyL5vN5l8aBoFxnY/J50ezTCk7I7vC6VCjN50L39zVYmuSUxmdMgdVCZipHgGiF2qZNm+Y8GlkK40MynRljph2tLaZximlkkdGUAfJDJErNkxHSEJiOWHmcH95Wlon76Ln1N02uyKVBVLdTLpdhrQ2sfUZnp86MjoFZs1m21slPCjkX47WsWbMmECajY/IZpNn0QfP5P1u99Fwzzcql3iWdToeWrWzhTOfjf58x822m69BBpALJhYAj7qvggNs0GSf7CcE3MNlPyIxRd2Zte7mPer3uvnM6P4X6Gtryr1OvKSys6mcW12tgOfqc+UytGkPX87Hl61EjW7GWzWYxMDAw60uV03+X0jZs2HDE5HaKbG6mI1dfJE3H4s80U6oegNP7aF4UXzOkI3gNlWlogcblOsj88FzZbNaFvujMlBGiJoNlcx8KXlk3Pb+GfmZzwGHh8INpPhAI051MVy/+pdNpjI6OTskwrsZ2OpCJINOBKX+fsG0EwX19fY5pC6vrXMGgnkvDnyxb1//SFA8M1SljBMAxipypyOMYni2Xy2671lP7NIGLH8pjvfyZmJpp2te2sTxlaWlkq/S4uVoEiGawt771rVMaeznZ0UcfvSzDZnxJz2bGmCXNaL1x48ZlzbJNZ81mE+edd95SV+OwNr6YCWIUtPClzhevjmJpdL50Ln6COl0+QUe5foiJ58hms7jkkktQKpXculJ0RNR9qDBaHRyBEZ0O0NaTcGaav0aXX5e5mM8SqRg2bPQ+XZuHlTuXc89kCnK0LmFgIwwQzbUN5gIedR8Fd7FYDKtWrQosbKpi8Pm853ke7bM8D3NiUffD/XXWpAJoAgqyZ1wwmH22s7MTxWIRl1566ZSM09qXuY19UHNtabiNnzU/kbaTDkr8a9Rz6EBkPrbyvMEi2hVXXDFvhLmYtmrVqmUJiFaKcTS20qzZbOKKK65Y6moc1kZhpw8KlOpnyEypf/+P+7AsXZZAX/Y+GNLwRjqdRrlcxnXXXQcAgazCiUQCuVwOrVbLrQjOHDEAAoyQajoY5mDOIp3mrYzWTKEif/TOFdDZTmE22/sqLDyk98D/P1PdlB2Za13CWJkD1fAoKAn7DWi3oeqw/Nl6c61HWL/U6fuc1s7wK8/NzNDAZJ9h+gdq11qtlkvK2NHRgVKp5EJq3/nOd1Aulx2g9NtfwRXL5n48r4Zs9Rny8xcpc6RMq4IknSE3H4sA0Qq3LVu2LHUVDqoNDw9jaGhoqasR2RFuyvwoxa+gQV/EKpgGMGUqML/TgfhZfVU3FKZDqVQqbpp8PB5HZ2enC2NQ8JvP52FMWxDLPGVkuTibTJ0eHRj1H2SMeF0Ut4aFecJCe8YYrF+/fsrMuvlqYHyWTNkyv6zpQmBat+lA3XShMwUvhUJhygSPsHBQ2H//HDNduyax1GvVPuWDwOnuiTHB/DvKCDEsSGYRmATLjUYjADjYjyg6B9ozgBme5Rp5BEy6TIbfDmSUCMoVCJEJIoDhc8N66PPmDxx0woICeAWC87EIEK1w6+7uXuoqTLGRkZE5hRqbzeaU5Tlqtdq8k2ktxI499tgVk8spssU3joI1p5DOPOMLmS94pf/j8bgTmGrYSx2e5gzSMvk7/ziVmS956j5qtRrGx8fdEhxAe+0prlnFkTxnB1H7QRDFBT4BYGxszGn5dDKEirKnY1M0vBGLtReS9Zk1P+wzE0vkAwvf+JsPhMKYI7Z92IxVbW9aq9XOwqzlNhoNBwyns+nYK62vX1cf1Kxfvx6ZTCYwe2o2NiyMdVJRNI9haCyTybi2YO4qghuK8nVF+1wuh1QqhfHxcRSLRddPuawIy9VzEXSrLo11I2tFoKOJR/UZMaa9RhkBHI/XULMOUpQJIzAiezpfiwBRZAfd+AL/3e9+Nyswms9KxAfTstnsigyXRbY4Rr2F5vHRESdf9gRM6vwJFKjPUafARHi+6FPBEs9Px88XP8MXDI2l02knjGauolQqhVqthmKx6KZOM4xRKBRgrXWj/XK57FYuByaXuODIndOs6fB8tsIP7dCR+bPX+D8MHGh5090Hv130f9j+YUCn0Whgx44djk0Iy/zMex5WF79crZd/jT6TNR2w0T4zUwLB2YAQrxGASzLJQSVnzxG85PN51Go1lw06l8vBWotisQgAjjHUPpRKpVz/srY9ZZ59qlwuu1l6Cu6VYWV9CXZUS8fnQQcBBPW+kJrXw4WV2TbKGrF8zZw9H4sA0WFgp5xyylJXYYoNDg5i+/bt01LV+/btc4sILrZt2bIlWlYkslnND/vQaenMFr50CSJarfaSBppZms6CjtnXhqjDUHDhM1PMUt3b24t8Pu9CaHRoZGqSySSy2axLvsep+fl8HplMxiUhzGQyyOVyaDQaKBaLLqcRy6KzonMh0PGfaf5GpuG4446bEvbR/9MBDm0LX5eloayZQlNh26y1KBQK2L17d8DJaohlZGTEsdV+mEvLme48YeJx/zr1WL2WDRs2OB1YGFierjwtk8eR3WGIlkAnn8+jWCyi0Wggl8shk8mgWq2iUCggk8m4e0+Ak06nkc1mHahnWWSBqtUqcrkc+vr6XD/UkJaCI2V1lF1ln+YzoZolapw0X5EPzHk/yKSG3Yv5ToqKANFhYPNNT74YxtF0f38/+vv73fb+/n7s3bt3QUmzDpbpCCOyyHwj40I9BfsK2QN9+dJBEDQoVa+ZgZkEMQwQhCWZ48ucyRUJyNLpNEqlEnbs2OGYna6uLreYcq1Wc5oOJnHMZrNOJ1QsFt2Crs1mE6Ojo2i1Wujp6XHLe3R3d7uROp0hdSZ0dvrsKiPAa9FMxbxubV/fpgMP/Mzfw2asTcfc8I+gstFoYHh4GAMDA44NGhoawtDQUCCxZRioCQNq3K6OOUwzpMDOL5d9zGcKw7I5+6bn1FCVZpzu7u52odSenh60Wi2Mjo6i2Wyiu7sb6XQaY2NjLjyVzWZdmI3hU/bBbDaLnp4eAG2AtXPnTpRKJaTTaaRSKVdnpoXwgSwQzInlp57gUhxMLQHAPYd8xnzmh88nj1UWVtt1rjYrIDLGfMEYs88Yc69s+w9jzC5jzN0Tfy+U395tjHnIGPM7Y8zz51WbZWzxeBw/+tGPlroa09qpp5661FWY1qy1DhhNR5kvlm3ZsmVJp/ov1G6++eYoxDdhh/qdRDDA8AAdjo5qGRrzhcgEENRJaIZf/mmIQGcDcT0oOjl+16zVXLPspJNOwn/9138hmUxi9+7dzgl1dXU5ITXrxSUYkskkMpkMYrEYhoaGUK1W0dPT4xaIbTQayOfzbhYbwycAAs5KARyfZTJTZImOP/74KYkZZ3LwYayODz7CtEN6jA+MfN0O6zE+Pu4mbygrN1099L+WR5suAaH+9+tDR71u3TrHzmjKAg3dTVcX7SfAJOhmmJSzwLq6ulCv1x0Y7unpQbVaxdDQkNOWJZNJ1Go1d5+Z7TyRSDhdWK1Ww86dO5FMJvHJT34Sj3vc4wLLdFCfRnZUmdWwdfsIXvSeURuns+I0bM3BrLJPbA+2KScQsG7zsbkwRF8E8IKQ7R+31p468ff9iYs9GcArADx+4phPGWNW9FtcO/FyZGJoyz2fzlIDIVqYmHIl2HLue0tgX8QhfCcpeKGRzufLWIXOug9f6uVy2TkVjtxVg8E+qOCKL3F13MBkEsV0Oo3h4WF0d3dj165dTty6du1aN+usVCq5PDEaWqDj4bpc+XwePT09KJfLGBsbQyKRQGdnp3OK3d3dAeEs3y++o+ZnhswUxPjZvmcDFz7roueYLszoAyYtczrWiYksFdj57NB0LJQ6X2Wf/GnyYeCFTpz/NZOyD/b0fT5T+7Avao6pSqXiZoFRnEygXCwWUS6X0dPT48Av77GfCJF5rjgjrbOzE2vXrnVi/l27dqG7uxvDw8OuLyoI570hoNdwGeuuGjg+IwTz1LgpcApjlPQ47RMcvMzHZvWi1trbAMx1HvSLAXzNWluz1j4K4CEAp82rRsvMmCp/uZsxZlmzRMvBjj322GU5K28+1mq1jnhwtBjvJL5QqVtgKIAvWw2laeiMjomCZzorZZZ8pkhnr9HB8neGcqit+Iu/+Avs2bPHhbzoOAqFApLJpNOHtFqTa6UxfFCv1502o16vY2xsDPV6Hb29vUgkEi6Uksvl3PRqMkrq+H29jM40I9OQTqexZcsWB/Q05MT2lPsZaMfp2CQ6U01x4IeptEw/dYIe5zvn6QaUPmDSbVpP/1r8lAOsj9aJQJb7K1NF88GWasz0XGRVyPg0Gg2Uy2WnTSoUCkgkEujp6Qnce+ajYt9gmIl9J5PJuJBroVBwQH98fBzd3d3YvXs3/uIv/iKgf2JZeg/4DLBNfPCnqSf43DBdgObx4v4KJhnWoxGU8TzzsQOhFd5sjLlngr7undh2FIAdss/OiW1TzBjzBmPML40xvzyAOkTm2UpkPyKL7CDZgt9JYe8jsj06nZdTf+ncfCfHF7uGHCqVijuP6oMYSvNHzTwXy+H5yuUyisUiuru7Ayvcc10p5hbiqDufz7vjlbFieZlMBt3d3ahWqxgZGUE+n3c5alqtdhK+er3upkdzlE6HJ20XuD5tP4Y9pgtdhDExCiIU7ISxLv5xagq+wsry2aWZBr6+3kXL5P0MawfWy/8DgmvJ+UaGxjcCaAAufMqyOG2+Xq87WQBnDmazWYyMjKBaraK7u9uBZoJ4AmuCbIbxCKwotCZQ4jHUKJVKJTcoICDRXFx8RgiEyNDxGFqlUgmwRARVvEf67LGdtJ/pc+WXPRdbKCC6DMDxAE4FsAfAx+ZbgLX2s9bap1prn7rAOkTmWTwex5Oe9KSlrsayM2MMjjnmGKxatWqpqxLZobMDeifp+0jZCQVCxphAJl4dqWvmX2utC0WoI+WxfvhAhbT+S58jXzo+OuD+/n7HCuTzeSfm5qgaAEqlEorFotOUxGIx57g4yh8dHYW1Fn19fQDgmIRUKuVEtay35rjhjCaeSxkCMg7JZBLHHXdcIPzngxofhCjIUHDks0N++EwBTViIzgdMM30PA0a8H9zPZ3O0HfhZGSk9R0dHR0A7pMep7sX/Tdkt3nuCBrYvZxZWq1UndC4UCojFYujr64O11q3rxmNLpZJjNePxuAur8VzUBHV0dCCfz7t739/fH2A8qWHiIEJXvCcbyvAZny1eG58dskQM7bINqEPSe8n7kclkHCjV0CEwM+gMswVlprPW7uVnY8znAHx34usuAEfLrpsmtkW2iMZ4fmRtW79+fbSq/WFuB/OdpCNdFVPzZa4hMDppAE7vQDChoYBYrJ0pmA6R06NVM8TQAv/rTB2yTbVaDdVqFRs2bHCzh+gAGS4hQFMnpA6TM4tSqZQLh5RKJQBw4GpsbMwBIbICqVQqoHMiMPLrCwRDUAyjhU1N901BkDIxeqzPqPmiaAVQuq8PkMJCXixT+4JeT1hYS/fzmSOtI4FOPp93ANQHX2xH/1xsYwVCvBcU8ROIMMxbqVTQ2dnpgDAA5HI5V49arebWxVMdkQI19htliQjCc7kcBgcHUa1WA8tvECQx7QQHFHofCZ4ZvmX/1TIY0qvX66jVak6Dx/6nujiej+dQ9mw+tiCGyBizQb6+BABne1wH4BXGmJQx5jgAJwD434WcYzlaLBbDhg0bZt9xCS0ej+Pkk09e6mosG6MjWcm2YcOGZS+aX2o7FO8kvnzVaemImKNZ5lKhVSoVxONx5HI558C0HGV9yBQRYHE/gi2O2nksGaCxsTHs378fxx9/PFqtFtauXYvu7m43MufMMmYeTiaTbhSuWYcJsIwxbvRfLBadyJXhMTJKGj6kw/HZC2U0kskkNm/ePEUjExYqoynwUeZGwY3eIwVQut3fh/XT8vz9p2Ou6NDDgFZYecpg0UlT/JtOp6cAN9VaKcjWemj7qZCa/YtMDjOTd3R0oFgsOgBD5oXg1Bjj8hSlUil3jwlAGNZqtdrrrK1duxatVgtbt27FwMAAisViYDYjQRuvj33YnypPhguYfBb8/Vlf6vZ4zcDkVHtl7ViGsmVss/nYXKbdfxXAzwE8zhiz0xjzegAfNcb8xhhzD4BnA3jbRIXuA3ANgPsB3ADgTdba5btc/DwtlUrhK1/5ylJXY1ZTav9Itng8jvXr12Pt2rVLXZUDsquuusqN+iJbnHeSLoQ6UY4DAgpO+RL28xbRMQEILFkQBmxVg0SQxZd8vV534TAFSbFYDJs2bcL555+PRCKB/fv3u5xCzCzMkAnZBJ2WTeEtHRi1TrocCHPTUKeko3KCOV/gPJ0ImOkEtM14DLfx+3SsznQWxkrpdi3Pd5DTgRr/vw/kfIbKB2t+ufzc29uLrq6uKSG7sGsMY7KUsfIBgoroee84+4uL+FJH1mg0HDsITE5VJ+DWPtRqtXMX7d+/H4lEAueffz42bdoU8DNkgjo6Oly/9/uyan/8+8RnhOwVgTgZVYbsFJgS1CvIZRtplvn52KxDZ2vtK0M2Xz7D/hcAuGBetVjmdtttt+FZz3rWUldjzpZIJLB161bce++9s+98GFt3dzfWr1+/1NU4qPbTn/50qauw5LYY7yS+bJUFMsY4UMEXvc9mqI6BI3Fu01G96iAm6jiFJdHwCfft6OjAT37yEzzrWc9CsVh065ExSSPZAj2XapR4Lq61ls/nUSqVHFhLJpPOOTKfEXMYkX1i2wBwWiFlN3itDAmmUils3LgRjz32mLuuMBDB+vsztPSehG2fSY+kbRcGRsNCZmEAxP/v33v+ptemZRnTTmyoOkZf2zQde6b7x+NxBxY0xMQQJsNMAFz/o+DeWotKpYJcLueyTiuwIEtjzOSMSoZedV27bDaLYrGIZDKJn/zkJy4ErLO+2Hf1OaH5YVN9bgi0dX01htDYRtpH2LfJojJsRiA/X0AU8fBzsGc/+9lLXYV5WywWcy/JlWTMenqgxlHw4WZ/+qd/utRVOKKML2tlQXzHype2OlLqiTSrtQInfxaSjqR950t2hiGN888/3y2dMDY25vRJDI8ZYwKLvgKYItTt6OhwQKbZbCKTybjpzs1mMyCkpnPxHT0wuWQEHZof4mH7dXR0uAVkp9PusD3UZgJAsx0/3Wff/PJ0Xw01zlQvfvdZRd7fjo4ON/MrjD2azXR2oL+EioaPVD9KvQ8TJnLxWDJB2jd5Dr1uipUZRqtWq4jH4xgbG0Mul0O1WsX5558fmCJPdkjbhf3Az0vlDya0bxK0azuFJQT1Z/8pMA97VmezCBAdptbR0YFNmzYtdTXmbT09Pejt7Z19xxkskUhg/fr1WLdu3UGqVWRHkukLmN+nm9Wko2KGxcjMcLkLPUbLA4KsjbIO1PDwGIIVCqiZrJFLdvB8DCGQAeL56BjpTKlXIvjhjB46f7JM6ny1Pqw72yFsIVv9n0gksGbNmgA7Np35IMNvv7Dy9dgwYKns1UwAyLeuri6XK8ivy0x1Y38wph1m7Ovrc8tezMQA6X8gmBCTs8JUY6T7KUhV3Q5z6TE9g957f3/WjUk5VfvEujMM19HR4YTcBE2sP5+FsDbiM8Oy9R7x3OzLqgFVYbbfPj7IVn3bfCwCRIexJRKJAwYXK80SiQQ2bNgQgaHIFmwKXPTFzN8U5NC5AHBaGx88qGaGTtmftaQOQ0fC+j8sRKPCV+pIAExxJNzG+qumic4yk8k4kSuBnZbtm5arepZ6vT4lhw5BUy6XmzaHUdh90OsOY5bC2KKZGKT5hFDmyuRoyMvXQnV0dGDVqlXo6+ubFQiFlauhKD8sFVZPZet09iNBjIIVMpsMj2q5vP/sU8rCcDFWvU6f7WF7kDnV2Zbs3/56Y3xOfBClwmq/P2rCRtaXGeV53vlYBIjmael0Gn/913+91NWYk6VSKRx11FFHDCiKx+PYuHHjihdRq7361a8+4jNTL7bRsdG50JHoS11f/tOJi+lsgODoXx0Tj6Mz4J8ufaDrQvE4andSqRRe/OIXI5FIuLCIhqr8EbVOedYwGEXb1G4QWLE9WPcwdkTL4IK2voCWvzP/DrdNZ3NlkWY6Xj/74Mq/J2FlhpWh7UDzdU/8IzPEKfazXYOyWCpa10SYWn+9Lg0h0cgIETSz3+q998NvvpZIw6mJRAJnn302UqmUmw7v10EzUrMP+wMDXhf34bXw2vjsaHuybNXgqaCa59B1/6y1855cFAGiOZi1Fv/0T/8EoA0yXvnKME3n8rRUKjXtA7lcrbu7e94LsMZiMRx99NGHXb6hV77ylQ4QsQ9GdmhNX/D6Qtdt/mwXHqczyjSUBWAK+NEXupZDR+SH2wim0uk0PvOZz2BsbAydnZ0488wzHaBRxsqvW5gT1+/A5HpWDFv4CSH9dqKxzmSmuMinXiun4edy///2vjxMrqpM/z1VXV17p9PdCUk6e0yIWSQgLgjCDEwAUYMKIsg+rIKO/FhkcRRHlEHBUUcwARRkdmdEkHFFmRlnHBZhkCWBICEsWTrpdHqrtZeq+/uj+z393pPqpBuSVCq53/P007Xce+53zzl1v/e833KSvntVkOm6OPRcBZ1jGUP3tQsOR3PvuZJKpWz8k+pbqU81uLelpcUuRiuBrkruJPZjLBaz4FIBUqX7c9vQsfM8z84/N/W90tzWe2RbyiItX74c6XQavb29WLVqld182HXl8Ryd22xTA62VsVRGljoaY3z78ilAUnZotLk53lpEASAao9xxxx3VVuFNSzweR0tLS7XVGLPoA2gsYozB7Nmz9/tK1LU8B2tNNB5D4yc0iFPdCMoEMf2ZRkQf2up+q+RqcQEVA0xZFJEuqfvvv98CEKZR63YhvK4aThoWBR+61xq/Z7yK62rj/e0KGLFUgAIr1sYBYLcMYd+N1pZ+pkzErlxYrlQ6h9dRd81okkgk7J5uapDdttSoT5482cYMUQf97wIkuscIJglkuIGpe56267pjeV9aO0rHWMEVx1xdnAT8nEesNcQyDXSl3n///fazUqlkY5UYYE1w4y4YXH1doEed1AXNuaTMkbrYeA3d5HW88wQIANEBIdFoFFOmTKkpUDR58uQxZ8nNmzfvgHELBrJ3RLOs1P2jwAXwgxwtUKeG032Ac2WshQ4p6grQuisALAuUzWbR29uLiRMn2uyfeDyObDZr6w2x2KKyGbwmja8yMrqi11owmlJP/dgP+lqvobErZBDYZ0zDb2lp8dXjUT3ZprbrpuLvitWpJOy/SkG5owEVyoQJE2yxQPee1aUYCoUwZcoUHxiqJHofbpwQ2SE9bmdAyGUWmX4PjLAxGkRNkKJzQfubY1EsFq27LZvN2swybgjc29trCz8qC0UwpeOqeusCQt1bZAA1K436EuwrwFLwx98VAT3dZUFQ9V6Q5uZmfPnLX662GuOSaDS614s1zps3b9wTkhKPxzFr1qxdps4ffPDBNb+D/Why00031Zy7c38QAgcAvtW1xvy4Boafk8Uhy8MVvuuaUCCgrI0+0Pl5KBSyhokBo/X19bZQ3syZM3H++efbRUE8HrerdDeWR3cCpz5ac4gMD90+arDVheiCId67gjjGEtHIMw6FBpMZcuo+YX9SNxeI6nc7Y3Xc8SRQoX4us0JxARclHo9j0qRJtl8VOGjtGzJD7Cd194wGtjhPWC9IY3sINtx6VHzN9ngt3daCbCXfExC67kot+sr5QhBCpr6pqQnnnXceZsyYYQuBci7RPadsFnXSIGgNqFb92Zf8TtP4mQGnYE3ZIv2N8D7ZV6zWPh4JANEYZXBwEO95z3sADNFyCxcurLJG45fm5ua9yhJprMCbkVgshrlz52LRokW+H+3ChQuxaNEiLFq0qCZrLY1V3v72t9uV17ve9a5gf7q9KC4zw9UpH8xqsDTOggaLgbCuceV7jZ8A/Ntf6F5pNDRkNrTY4zXXXIOuri6Ew2HMnj0bxWLR/mlNIrbPa+XzeZ/hoLjF+DzPsyCGuqtrRV0tGqytAIj9p64b/k+lUpg4caLdckIZIPYD//M77WPt1109Z0qlEpLJpG8MK7k+VVy3WCwWQ2trK2bMmGFdmKFQCNOmTcP8+fMxc+ZMNDU1+YCBMoDu9RRsumURBgYGLLvGviXI0Mws7R/2daVxdIEBQTA3cVXmjHqRfSwWiygUCpgzZw7C4TC6urpw9dVX23HUOcnfggIzd7youwtMFajzPjS4m6Bbg/iVRdJK8e74jVVqe5OnvSxr1qyptgpvSerq6tDa2grP87B9+/ZqqzMmYUDxggUL7GdcmRxI8sILL1RbhQNKyCQMDAzYvcn4wK5UIE+NLI2EFpaj0dL0ZC0ix2vSMDFuiAUeGVMSDoftFhsvvvgiJkyYYFfzdXV1vjozAOw2DtxwNh6P27ZzuZw1usoiDAwMWKNOnQjw3MBcFwC5Lp9oNGr3RotGoxgYGLDnMdamra3NMhnsFwVwCpAUELEdFxjtzL2k52sbOpaV3HFqqKPRKGbMmGH15NYSmh5OITBhtW/G7/A6GoBOIJ1Opy27QdaIY0FXKMELx0Oz0TimfX19djsNBQnUJ5lM2veFQsFmjrnXJPPEmKAJEybgxRdftPObmY3atwSM+nviONBN5tbw0mDrfD7vYxx1bPinrlj2e6FQ8P1WAoYokJ1KXV0dZsyYsUsf974mTPXUPZECCWRPCVenanj4IKdLzN0iAxipDcRK0XQn6L5KbEvdLVrbhawAGYN4PG63bCC4KZfLdn+q3t5eawy3bNniywyj+0srYff19aGvr8/qroZLdz1nsDYDdDUIm+2zP8gM0ID19/fbbUG4ctdCf+oCmzp1KpLJpI8h072tlB3idSkuG+Cm+vOzSq4wzWZyK42raAwP9eAmrbqlBVk33cqCAEAD2tlOJTBTV1eHXC6HZDJp+56g1C3OyHFiuxwHBjpTN44pMLLnGAGTpr1zXHTODA4OYsuWLTaYv7e3F6FQyAIPgnbWnorH4745T2ClAdJkcTRLjG4wMpIEdm4mmbJp+vshQ6sMrN73WCUARG9S5syZg5UrV1ZbjTclbmT/npCFCxf6CrAFMj658847MWvWrGqrcUCKMgo0Ntx1XlPAueqle0rjawqFAvr7+62bhg9pukCBkSKPGqek78nM5HI5C6JKpRIKhQJSqRRisRg6OzvR0tKCgw8+GJ/5zGcwb948APCxPvF43FdFuL6+3qa/q5ECRrLq+vv77Ypf2Qt1i6l7Qlmicrnse51IJFAoFOyqXQs3kllTtkBdL7wHLZDJ/q/EBKnbRZm3mTNn2iwoBRRaokDHpVK7bhAzjTgBi8aM8Xtlm9T4K5AkAMjn80gkEhZIkOlh32o1aZ4LjAAqYCjMgPNINwbm2BLwJJNJn6uSfUEgb4yxrrB58+bhL/7iL7BgwQJMnjwZXV1diEajSKVSlskhGMnlcnYxoWCFYEZdyxxvBu6zn1KpFAYGBnbYBoTzDhjxEvC3EgqF7GbGZP8418cjASAah+RyOUydOhXA0MDV8o7ys2fPRkNDwx5rX1ekgYxflAmbMmWK9fUHsueFRprMTLlctu4QfscHPY2Kum8U+HBFDcB3jKbWk/7niltdFBMmTLCrZQ18DoVCyGQyOOuss/Dqq6/CGIPm5mZs3LjRB8T6+/utcUkkEra2TT6ftyyR7nkFwLq1FPDRDQKMsCHAyK7kunKn8eY1C4WCBVZ0zdBokUWZPHkyJkyY4HMHKdiigSMoUreTjpv+53es66OB3xQyLi6L5IIXbY+f6V5gynhpMLWeo/FTvGZ9fT3y+bxl4Ah2CbLJFJFxIlMDwPeafUqXGgEkGSD2Icemr68P+XzexqUlEgnfXAmFQhbwbNy4ES0tLTDGYN26dTjjjDOQzWbtWNEtxz/OWc4jAmo3po3jSLaUf5lMxoI+YMQlxt8MSwDod5yL7F+WSRgvSxQAonEKB6LWxRiDt73tbft1UPL+IvvLnKs1oUuKIIegRVe5NFwEBepmoxtIa6kAI8yBugMA+AwfMPSA567inufZ1bsG2+ZyORx88MHo6+tDNpvF9OnTrSFgDAnBFPXlqpnbaDDolsZGU7eVwVDmAoCNcaHLD4Ctcq0sEQEJDT8AH7PC8yZPnoyGhgZ7PR4HjGzZ4JYH0NguoHIxSrr6gCEARNBAhkcXbzS8FJcdIrOjcVoER+qCVJeTAiACAB5PwJDP5238FzPOCMSZcq59zNgYxiWxPwk+isWibyzdYGtm73K8CEAIyBlMXVdXh+nTp6O3txd9fX14+9vfbt1lrD3E2DW2kclkLFNGUKYJIRpHpKBWmUHqx/N1DhKwsa/0PAItAqEg7X4PC39EALB06VL87d/+bZU1evNijMHBBx88riKIY5GFCxfWNHtWbbn99tuxZMkSAOOvtBrI7hE3syUUCvke0jSi6l7QsRocHEShUAAAW7+GbdJouYyGslEAfLFC4XAY2WwWAOzqngbppZdeQl1dHd73vvfhrLPOssaJu5XT/UXjymDxUqmEYrFo2yGQUheFG6St7wluCoWCTaFX1w2vy9dc4VMPBQ7FYhGJRAIHHXSQLUio8Saa3UYWRvuQ/ahMDQ1ta2srUqmUz8WkYMpN+XeZHRUac21DY1rU/ajxOjTmGlfEuCq2UywWdwBFam/i8bhlirXoogJUzi/Vl7FbjMkhYNX4MJ7LIH6OZywWw9lnn40jjzwSdXV1WLt2rW0nn89bcMm5SSBCnTiO6hLl74v3wf6sr6+3v5V8Pu8bF02h1zlBwENGiH2iAd7jkQAQjVM6Ozutn35/kUWLFu02ABO4yXavzJkzB52dndVW44ATt74JYy80kwwYelAzNobHA/5NYBk/Awz9PniOy2rwmmpMotGozQwjm8Mq0PX19di2bRsuvfRS9PT0YGBgwBp+BmDToHLRQ0DC99Fo1BcIDQwxR1qHicZbGTEyGMo4MWuNhp4Gle2SnVEXCoEC3SB1dXWYNWuWj70ii0Cmg/2rfcxjXKanvr7ex96wj+kaUhcOz1PRMdLjlGGinhpfpdlrmpXIsVfGqq+vz86P/v5+6y7nvGFGIPtAGTit/0NwocH5HGeeQ7cWALuZL/uU84wgioCJLryenh5cfPHF6OjosGCd7CXbZKA5WVG67ggyFcRo3SQuLhQIEdRo3ytY1t+iGxyuZSzGIwEgCgQAsHjxYkuXvlkJhUJYsGDBuPchCySQfU006FMzzWgEyX5oQCtpfcYx0DWhbpJK7bouGa1NxAc9Y5rIqmiMUD6fx+TJk61O9fX1iMViFpzwOoVCwRplgha9Hx7PrCGCHtfQk50gi8G2WXeMdY4ikYh1OzJlXF1hbhVs9qcxBq2trdZAs3/U9UJD6TI6HCMazIMOOsjqqGCJ7iUXAFFc9o6iAd3KQhEsapAy43MIXHg8771SaQSydOw/MkLJZNIyjmyP7SgzwrEiEOVY8z3dvrwGv6cbDIAFYQzIJvCdPHkyCoWCZWoYbkHgTrDDLDeXfdP/WrCSzCFjjgiGCXQI4rgoIdNKlpPxaGxLWajxJvYEgOhNSKlUQltbG4ChFVatpbCPJkuWLMGyZcve9O7qc+bMCWKS3qI0Njba/m9ra9uheF4ge0fUsCr1riCGoIcPd9bvodBo8WFfLBZtu9qmBhIzRkZf9/f3W0NEIEC3GUHJs88+a4EQY1JoNHhNGjhlcQmYCNby+TzC4bB115AVU1cQV/9qmHl8Pp+3weiaWcZ4JgYCa2aRupUIvJLJJFpbWzF//nyk02lfhhnHRxkCZR147KRJkzBx4kTLDml8Fo0p+0DdWSqVYos4dgS+upEtv9fAc9dlRv3JpHAOad0ggtd4PG7BivY3M+YUjFNHMijMjCSoIlujIIGggeNP8EN3an19vS138uyzz9paUoxR02sys1Jj4wjUODYaKM/xZMwTmUgGfeuxygpx4aFjrgwr3amuS3UsEgCiNyGbNm3C8uXLAQDvfOc78bnPfa7KGu1eWbJkCWKx2JjdaBpUF8hbk2uvvRaHHnooAODYY4+1wDuQvStuRhFfK4uhoIauGT0eGNktnN/zPA2+5iqXVL8CJv4nSNaAVNbCaW9vx5e//GVks1m8+93vxnnnnYfm5mYLYgg+6urqbHaQGm8CHBpuMk9kN6gjr8+UZ41BIXAjq1MsFi0AIxvBOBkCHzIFuvEr22dsTSKRwKRJkyxjoen2dOfxP4Usll7HzUajPjSeFM0C47H6HceObet4EnQp46Gb5JLJ4blkdNgn+pqgiMH0Gh9E8E03GXVkH2htIOpCZkjdhNSfjB4ZJ7pQm5ubcf755+Nd73oXMpkMvvSlL2Hbtm2IxWJ2riv4IWCjLsriaco9MLJdCcdd2VW60fgb0XnMuauZm+om1PF+M/YoAESBVJTFixdj0aJFSCaTO91PLBKJYPr06Vi8ePF+u6dYIAeeqDsE2HHHdBoDPuDdFSwNJIGGVnFWo87ruJlNamyBEQNDwKFuuFwuZ5kdsgGZTMYGP9OAMnjXrSIMwBpaVrTmcWQMCJR05e8aWzIPDA6mPgRV2g6BAcEF22R77BcGW8+ePRszZsyw9ZfYT+7/uro6TJ06FXPmzEE6nbZxM5oBxv7V1/yOOlVq22X2XLAMjGwgy3OY/aUB3e59EhwAsNl4ZOnoniIAUdCqWW5sR0skEGwyK9GtyUPXGlk2nSvlchmZTAYAbFB/Pp+3mYJab4n2gZ+5AdQ6r9kHCjQ1UJ/Xdhk/zg+2yzmn41Lp9xoEVe8lyWQyePzxxwEALS0tmDt3bpU12v1ijMHChQuxYMECNDQ0VPxrbW1Fc3NztVXdL2Tu3Ll2r7nHHnsMuVyuyhodmMKHqWYyuYGhFE375orWDfQFsIPriO3R+JIdclPAFYAMDg76DBIAW+OnXC7jueeeQyQSwUEHHYQ5c+bY+BJeHxhJbdYYGBpmZQ9opJWdIuNAg6XsDsEfXXia1UYWikBGWRJgBCRoULAyLHTDJBIJTJ06FbNmzUIqlUIymfT9T6VSaGlpQUNDg48FYV+6tYF0nN04Lve9Oz90/DV4msydbmRLZof9TL0IigDY+yTrQ5ceXVTUn+PkFgl16xHp9XWMyb4QlLiuQ45HfX095s6di4MOOgh1dXV45plnbL/k83nbJrdm4fzk70DdwcoU6ffuHOL1df7rb4q/Pf7+3DY5ZhpDFsQQ7SV544038P/+3/8DABx22GE47bTTqqzRnpNwOIz58+dX/AvA0O6T008/3brLrrjiCmzYsKHKGh2YogZQV5pqJBW46MNdXV56vOv2UiCl4Mtd0fKBT6ZDi/vR7ROPx7F161asXLkSvb29WLJkCY455hgAsOAHgDWSNCxuXJQCPRoYrbmjNYQU+KmLi0aarjQAO2SWqWvRdUGRRXMDlDUou76+HtOmTcOcOXMwc+ZMzJo1C7NmzcLMmTMxceJE3xiq8R9tjNkHowGfnbleFJCQCSIoUnZGQZMabp7D/tKtU9iPnFsEmBwfDSAm4NKMQGUBObbqJuRxylCRhTLG4JhjjsHixYvR29uLlStXor293aa3c+6RCeVYcW65oF7nmgIkCudHJcaH7eucc8dVFyw6XuONwQwA0W6SefPm2doxgQQyXlm6dOl+yTLWqmjQrhpXfqcuM9d14rqXCGiY4uxS/hRd8XKFq23QINKQcGXNTDMaZWOGiq7OmzfPt6IGRgwHA5v1vwamupl1NFgKdJTlMMZYZgQYCVRWV5q6yfi5Mjb8jAAhEonYPmMfEzSQhaK4bI72q8ZijQZy1E2zK+H4uHFCBDg6zgQo7lxgP2ggMfuNfUVWj5lW2oduVhXHxQUfChQUtDHd371vzpe3ve1teNvb3mbHlXOMDKcGVLubEGub1EGBkLosCe5VF53/jGdStpbATz9z54GCxfFIAIjegmzatAn/8i//AgA49NBDcfTRR1dZo0BqVY455hgsW7YMAPDP//zP2Lx5c3UVCsQ+lNVg0IipcdXvtUAf4GcZ1JWm32lbahRUCJZ2toVIT08Pfv3rX6Ovrw+LFy/GYYcdZo2PGkECGs344vc0rtRX40FoyNmeZp3RtQP43T8KZvQ13TejuZA0JZz9SsOsMSU0mKMBnUqxQDsb750do2BG6+ewDxUMqu7ab4A/jqhS35Bh0bHq6+uzu9HzGtpXyi66sVKqM+cAddM5QSBqjMFhhx2GRYsWoa+vDw8//DB6e3t9wE8Dz9UN7Pazy7xpSQntc51rbp8ry+m6ON0gapd5CmKI9qJs2LAB9913X7XVCGQ/kx/84AfYuHFjtdUIBCMuMz6sdcWrBoCGxDXQ/I4PZhpS9xoac6EZM7rCB0ZcGspAsE5LW1sbfvnLX/pYLVeUkeDqXK8JYAfDpEZM2QgFWuoOU9cXg4IZtMvXyo6pwSZD4QIGNcCaQq8gw2WJRvtfaYz5f2fnKnhz0/h5Dwpw+D2NuoIiXovn67Fau4hMmfa7utjUraZjRVGmRt1vCmoruZUUePziF7/Ali1b7DzjgkCLJPIc9o2yOgpeXNH4IE1S4JioC1DZHy2Eqr/RSqBsPBIAot0o73//+3HEEUdUW41AakyOOOIIHHXUUdVWIxARGjZlhAA/G+TGR2jNFY15oGGhQWRMBNvTuA73Ie+61QiIuGqmMWENGBqWUCiEd73rXTjkkEMAjGylkUgkfKnvdFcQzBGwVcoCo0Fy3V4ALEuiIImxR5plpewK4Ad9BAgKDtzKzhq3om6w0ZgAjgEBk8tY8DP2hZZDcMV1vbFtBT0ECTTQLmhSV472M+cP+0cDsQl+3JpDOxsbzWKjXqFQyMZ6EcAxi0+D3g855BC8853v9IEV1sLi/CIYr+T6dV12PIfzhfOd4FeBOTASv6a/CwIlzhMdQ+1f6ua67sYqASB6i/KHP/wB3/jGNwAA8+fP3++29Qhkzwv99QBw22234ZlnnqmuQoEAGFnxKktQ6Y/HAvA9kDVzTA0WjXullbO6PYARRkmDrnW1r26caDSKV199Ff/0T/+EwcFBzJgxA3PnzrXZYnSNaAyO6shCjvxOGRiX0dGAYBpvz/NsMDTBDAPJCZJ00081WGQcCOrUFTVaTJGWNtAxcJkBN5bGdeEooHINqNsmjboGnXPrDWVx3PuoFPfD8WMcEucFXWNsX7c+UZCpc0fvS8GdbrCrzCa/Y8A79+IbGBjAvHnzMGPGDAwODuIf//Ef8frrr9sq5uzDSm45ZXp0DrsuYb7nvbuAUd1peo/6m+P1Kh2j82o0VnA0CQDRW5StW7fiySeftO9PPfVUvO9976uiRoHUkhx11FE45ZRT7Psnn3wS7e3tVdQoEMDvMiAVTyMEYIfv+BkDf2m4NMCaRknrFOl11Oi6BlrddrqaDoVCvu0UNmzYgDVr1lh9jznmGLznPe+xgMkFA1rbhSCHLI/qpLrxuiysx37p6+uz2/bo/lwaIEwXn8YPKbNC9ozMEPuCIIGMSKWaQWoUVXg/rquOfakuOZdpUpDBflAmBxiJxWJGGecA44hYzbpSPSK6oAD4stTU3ZhMJu02K2R6tKhhJUBIPQkk9R4IYvUeo9Eo6uvrccQRR+Doo4+283bNmjU227Wvr89uxaKsJwFupfge7TfVT92iyhAqWGY/8nfF71x3tfaLAmztk7FKAIh2gzz88MO45ZZbAADTp0+3tWQCCWRX0tLSgunTpwMAbr75Zjz88MNV1igQYKQgnLrOaMS1DoqukPm5u5WDuyLmypYGS4NDgZHdvPXaurLWDBsaxvr6euuCeO655/D9738fxWIRc+bMwYQJE9DT04NQKIRMJoNEImEBAhkcLUyoxRRdw6l6KYPBOkGDg4OWgaKLhvejWU5q+DSOhen1zJZT9sSNNdK+VXeY677R+jZuDJd+xmMVFCnwJHBSFk/r/SgL5t4L+5LH0qBrsLgyTgAsgzM4OIhEIoFSqeRj4HQcXDegnk+AyT5jFW+2m8lkEAqF0NPTgwkTJmDu3LkoFAq4++678fzzz9t5xQxHxg1xbrKfFQBReO8KkOiGZp/rfn3KgGpfKkhSMMTfqeva5ncBIKqCdHV14Y033qi2GoHUuLzxxhvo7u6uthoHvCjtr0Gp7qoX2LEeEQAfKFBGABhhkbQ9igu8WHdI41xoULmy5kp7YGAAmUwG5XIZmzdvxoYNG5BMJpHJZGytIoIUZawAIJ/PW2ZIA1aLxaJltNTtwT7ivfIYbvdBliibzSKZTMLzvB1Sx9XlomwJiw4SmMXjcWs0Gf9E/RR4VmKF2Dea1aVjqYHSbsyNuuL0PxkuAlHG4SSTSeuajMfjdjsMFh5UdojzSwPNtWRBMplENpu1r7kNB8dc46l0PBT8cez0frlZLIGYunVjsZjdMLi3txepVAobNmzA5s2bUS4PVa0ms8Rz6LokoNW+JOjS0hQK4vjeBTm8v0QigUKhYO9VmUmNm1Ig5oJX7Y+xSgCIdpPcd999+NrXvgYAuPLKKwO3WSC7lKOOOgpXXHEFgCF26O///u+rq1AgVtTYaHwEH/L8jPVTaKz0wU7jzvbULaBVk92smXK5bONGeC7PoyFWtoTX5C7lyWQSv//977Fq1SrEYjGcd955WLp0Kbq6ulBXV2c3XaWRVKPB+2SWGA0UAYYyMjRkathpwBmsC8DH+NC1pCyLBmEDI7u/M5aJAb8aVMw2tRCiaxQJ8JRV0s1qqT8/c1046uKh60lBEdkXADYzjGyZsjPASAyVMonl8siu9Bw/br1C8KcAk/eggJa6aeZYKBSy7jsFUOw7HXtuItvV1YWlS5fi3HPPRSwWw8qVK/HUU08hmUzafeTUFacgWXe3177lNiL6u1AXsrqM1bXHQH8tXsoFAmPhOCcJLDVYnnrxWuORABDtJsnn83bvl1QqtcO+MYEE4ko0GkUqlQIwtBUMH4aBVF/oFlAAwAdwXV2dXf3zgavbK/AhrgwFwRHZARpVN2ib5zG2hG0q0KLxUyBEQ5zL5TAwMICOjg7rJgOApqYmywJorAcrIxNoccVP40pjqttqaFxTKBSygc7hcNi2RzCVzWbtHFeQQ+PO/uEqX+OLFBhRH+7DpkaQRl+ZOgVEWvW6Uq0bfkaWS11wbuyQXpMsl1ajViCkzJcG++q9E3iy39LpNLLZrGVtgJG9xOhOU5cRx4KB7cBIjBBBM8eJDFSxWPTNgWQyiXg8bqt8G2PQ3d2Njo4ODAwMIJvNWvDP9nQOKuhwU/o1zofgTeO/lHFi36tLlMCGc1SBNH+HyhIpEzswMGDveawSAKLdKLfccgu+/e1v29eHHXZYlTUKZF+Vww8/HF/96lcBAN/61rdw6623VlmjQCgM5tRAUDeomg92ADYDh7EMlMHBQcTjcXs+ABuHwVW9bq5JA6KFHzX+SGMwmMlEI65B22R9HnroIdx7772YMGEC/vzP/xxLly7F1q1b7QaujPnR3cvpKqNx1a0i1GWn/aAsDA1sPp+3918qlVAsFn0ZZ8oS8Vyta1NfX49cLmdBQbFYRCqVsoycutcA7DBWamgZj0LXIBkhGuFoNGr3iFNQq24gbZ9ME/uCLI6CwVwuZ9vTgGot1kggxTlULBZRKpVsn+XzeSQSiYrsFeepgj/OPR07BT9kEOmS4phs3boVS5cuxfnnn4+Ghgbce++9+OlPf2qBucZN0f3HjEWNgSNQI/ghoOf8YL9y41/ObTJDlHg87nMvqiuXc0hrFhHEa99wXgVZZlUUzdp4M3RdIAeOqC/czfoIpPpijLGuAgC+AGYVurfUzUIDRnePBvtqGj1ZHQbn0oCwXRpksg/xeNznQtDraZG+XC6HwcFBFAoF+0wql8tobm5GKBRCOp227ASvzePp5tIsJc3woW4EFBr7w2ylXC6Huro6G0PFVH4yUmR53Lghts3PlHWiAQdGDL3+flxjyD7WLDT9zamoSwfADjEves/6fHcrSWuME4EqWUBgBEhpuQICIQIFjgVBdj6ft/2l5yrYoz7KZCpjpvE4Gr9VKpWQTqcRDofR3Nxs+4tgjHOJYJjgSIE6hbFeOhbuXKZrjWyT+5vgWPB3wRINeoxbCFLbUFdZNBr1udHGKoHF3s1y9dVX49577wUArFq1CgsXLqyyRoHsa7Jo0SJ897vfBQB873vfwzXXXFNljQJxpb+/36Y6A/CBAQ1GZbqvrtQ1TX9wcNAaMg1k1swjY4xlpAD4XA3ASDAvjQhBAt1qNBQaT0J3wr333ou/+7u/w/Tp03HuuediyZIldpNOAhLGv9Cg83o09hozRJZIWQEFTNQlkUhYlogBx4wFIhjSuCGNydGYEt0WgnWN3JR9zdzSsWBf6nF6DTILmonFczTwndfXuC3OCepEsKwp9uoecrPNdDPWeDyOYrGIgYEBJJNJDA4OWnZIs89cV566N9mPnDfsW8/zLKBkKj+ZuFgshvb2dixZsgTnnnsupk2bhh/84Af4wQ9+YMGoZuipS8utCdXX1+cD9Owf6q1znHNW+4NzoL+/344Vs9sI4pRRUsZOXbkcVwaiB4BoHxAGkwHwPegCCUR94mQdAtl3RVOMAX+tFzf4loZSx5RGWoN4ddzJFPFcd3XP67CGEMGH7hgPwLo3CCay2Sz6+vosUMrn8yiVSpg5c6atWE1DEovFkM1mrS5083HVTT30nhUoKgvj1tvRQGOyWFr8kSCDgIEBtTyP91UoFGwfEFi5MSPUWXXUFH/2kyv8jIBO0/A19kbvmf2mLi8GqwOwOjItXwEfAYwWTXQDyHkvTD1XN5TeMwGX2hjOIWCIuSEwyGaziMVi9jwCrpkzZ1qGkIC2v7/fxg4ReKl7Ut1U1IWsjIIVxv2wXxWkaKab/j70fAVh/FxreAEjCwjOVf39BIBoH5BLL70UDz30EADgnnvusXVmAglkxowZuOeeewAADzzwAC677LIqaxRIJSFopdtMH9oArPtB4yRoDNV1oRk3ZBBoWMg+aIYOr8NVMtvRgFJ136jxV/ccr1VXV4eVK1figQcewMyZM3HWWWfh4IMPRk9PD1KpFHp7e21MB902dE0x9sY1KjSG7ActDaDHsC/IoijgYt+R5dLAWb1vMjf8XjPOlLFRUMM+53io21EZCn2t7h5gJLOP5/MzZaQYf8S6QdRVg+XpOuP3es+MseL3ZJoqGXMtIKluO8BfK4pjxrnCoHTGqcViMd/YH3zwwTjrrLMwc+ZM/OhHP8KqVavsnNTsRuqoWYgEw+4cpZ7622B/6/znffE9wRLHQ+dUJZcgddHsxEgkYu83yDLbh2T79u12EjU3NwcsUSAwxqCpqQnAUMxBZ2dnlTUKZDRRIAOMMD2Av2o0j2WsDIOmtcCf1k3RgF81jBo4DYxk69BguJ+TZaFUYnCKxaJ1W+VyOXR3dyORSGDmzJk2c0ljc3ivjGEhkFDDrMaO9+bGcCiYIyjQ42nQ1G2kYIMsEd0+mpWkYNIFQy6gIVChMBBdt9mgm0azggkAtN/VTabB0bwWdaO+3A6DoFRjd/Te1QVJsKT9pmwHXysQqsR40X2n7kWOLd1nxgztfzdr1izEYjF0d3dbFpGVzxXcsF8IOAnelKVTd7H7OYXjrQkEClpcMExXm84vDW7X2CNlldjGeO1uAIj2kFx44YV49NFHAQzFiRxyyCEBKDqAxRiDZcuW4Xvf+x4A4He/+x0uvvjiKmsVyGhCY0mwA4ys0hXEKDPBDC0aTXUbKAPCc9QY0HWi6eTqPlMXGv8Xi0VrhPjwV/eOsk633347fve732HSpEn4+Mc/jo997GPYuHGjZWsYBM3sJwUTrntOXWbAELhn9g8Nubr33IQBN1uN16MBdNPzGfvC/tbA9Ept6nsFNWqYK423/tc6O5Xe89paToHslZuCT72VKXP1pXCuqTuMx7vjws/5mqwYdeS4UC8yWPF4HG1tbfjoRz+Kj3/845g8eTJ++9vf4rvf/a5lFtVWadIA5ybT/4ERYEJQQleoxtppnBMXBTxXY7d0rzuCOV5Lr8c29LcJjATEKwgfj+wSEBljZhhj/tMY84IxZo0x5rPDnzcZY35tjHl5+P/E4c+NMeZvjTHrjDHPGWMO2NzztWvX2toy3/ve92yBrUAOPEmlUrj77rsBDNWseumll6qsUW3K3noeEVzQQGiMg7q2yDRwdU8WgABIH95qZNQlo6tqjXehHgq+3HgXgg4XMNFQso7M4OAgNm3ahC1btmD+/Pm44IILMGXKFNsujU4ul7MAiLoQjPBPXRka2Ou6S9SlpYZdQYrLuGjfkalSF5HuZ+YyV9pn6trkuRqTwzHUrUF0HNimtlXpelr+QHVWI8+xVyPPMWJfKCOkLjfOE/avppJrQDv/tKAhARL3HyPoBICpU6figgsuwLx587BlyxZs3rwZAwMDyOVy1h3pBmq7c8519XL83Hmuc1vHTlk2ZYvU7cs+4hgRKCpbpC42vuciZE8wRIMArvI8bxGA9wK43BizCMB1AB7xPG8+gEeG3wPABwDMH/67GMDKcWm0H8mnPvUprF271r4/7LDDApaogugPZX8UYwze+c532vcvvPACLr/88ipqVNOyV55H+rDVB7UCAn3gqquIr/nw1u813sLNXHPBD6/lsgXAyEqYDJYaR43rAGBjoFauXIkXX3zRrqyPPPJIdHZ2WiZlcHAQqVTKBv8qg6WGWcGcurvoBiSAcjOyXDeK6gz4XV6uK0zbYj9pdWp9rmqbbuyXfucCHvYdM/QqsXI0vronWyUdNdZHgZDOHwWF2jc6j5gVxjbUXUnAVMm1pVl1LLPAOdvd3Y0jjjjCAovVq1fjzjvv9M1pnXcKgjiHOe+U7VJmCPC7U9lPLjPkBr8r4OG1Wa5A54vGByk75S4q3Pi3XckuAZHneW2e5z09/DoD4EUArQBOBnDf8GH3AfjI8OuTAfydNySPA2g0xkwdl1b7kTzyyCN2X5q/+Zu/2a8N/5sRYwxSqRQaGxt3KNC1v0h9fT1uu+02AEP7Oz3yyCNV1qh2ZW88j9QgyHXtitvNtALgM2Z87bIo2r4aWY1/IOhRUMTjNLVc2yF74Lou1K3DrLNnn30WPT09aGhowHnnnYdp06bZatLZbHYHBkCNsBpyde8pq6NuEb136sjj1cWh8UM0oG5GmjI9GlPkMmLsF16b/zVAWAGQfsZ+SyQSSKVSOzyrNeNOdVB2iJljDG5WIEL3mus6Yp9WYoC0TxWkKgtHoKB9qYAaGHrusAr21KlTcd555yGdTqOnpwfPP/+8jTdzK7RzPhF46efsM3XZsn80RkjjnJQB0rHSuQ/43XAaaK7sHe9dXY/ub2KPBlUbY2YDOBTAEwAO8jyvbfirLQAOGn7dCmCDnLZx+DO3rYuNMU8ZY54al8Y1Jp/73OewZcsW+/7kk08OWKJhIRhKpVKIRCJoaGjY70CRMQYf/vCH7fu2tjZcd911OzkjkLHKnnoeKfVOY0Tjo1s7uMyCMSPp8NLuDitXNSr6IFdWR1fSypRoQCpBCzASc+K6WXRFDQzVRnv99dete+/973+/ZSJYA0eLBbqiLi72iTJGgD9w2nU3ap+pMee96u7xmjFFsMHgYDfjSwEY+1i/cwO5aZj5Gfub2y7F43EkEglfRW1tVxksN3ZIi2QqEHL1c3VmP7F9nk9RRojzQAG4O066wTD3mDPG4P3vf78tZ/Daa6/hzjvvtH2qc1uvx7nEzxQoMeOS19VYInVn6TzV+V+J3VEApMVRXbBvjPFVaudvR13b45ExH22MSQG4H8AVnuf16nfekHbj4qY8z7vL87zDPc87fDzn1aLcfffdliW67rrrcM4551RZo7cudXV1SCaTvr9KGQ8UHqMSCoXsPkcA7INof5JzzjnHAqBsNmvjiAJ5a7Knn0dkP4av5XO1AP4dtXkMDRWNhhp7nqMPcxoAFyS4BtJ9qDOwVo9R/VyWiExLoVBAf38//uu//gsbN25EMpnEWWedhXPPPRfZbLaigVcWg/q598YYJII33Zld+2e4n333MporTRkHprcr4OD1eE59fb3dq41FJl3QpRWwY7GYDTTWwGju+E5gqCUXVC/eMwETj9esRL2XSvcqc8/XR8oIUTfGALnAStkZHSsNRmdb2WwW5557Ls466ywkk0ls3LgRv/3tb+1mvFot3QUmqqe653QTYp6j87ESE8QxY1t6njuv2B86H1RHtu22rwzneGRMgMgYE8HQw+cfPc/78fDHW0k9D/9vH/58E4AZcvr04c8OWPn617+O66+/3qa3fuYzn6myRm9ewuEw0uk00uk0GhoadvjjdzpB9dh0Ol1F7fe+cKyLxSKuv/76YM+y3SB7+nmkq1tg5OGtsRs0FvqfBklXwK7ouQQrCqRcdxxfa1Vfxly4acc83o3HUAMVDofx4IMP4s4777R7li1fvhytra02LV9jkgDs4J5SZksDnTU4m5/rvSq403vVPle3ifYfr1nJPZJKpaybiwuvdDqNZDKJhoYGC44o7kKObVW6roIA9rOyQ3QJuYBZzx/Nvadt6hgpC0cgxLgmDeB23VTqvmP/Dg4O7VvW1dWF1tZWLF++HPX19SgUCrjzzjvx4IMPVowb4vkEI9rfCr6UhXSZQv2Oc9x1bSqD6I63MSPlHAgK3d8cRXXR387OFumVZCxZZgbA9wG86Hne38hXDwE4d/j1uQB+Ip+fY4bkvQB6hMo+YOX222/3pUzWotvEGIOGhgakUilfDRRKLBazLrAJEyb4jqekUik0NDSMeo1oNGpTeGtddIyLxSJuv/32Kmqzf8jeeB4RcGh2EB/CaoAIAtTIqwGlMdSHvUv7V1qF04DQ4GlFXzVOjFVRPXhdZSUoZBN6enrw05/+FFu2bEEsFkM6ncaKFSvQ2NiI3t5eG1it9XpURzcWyA2q1TgadXNpBWsa8ErBr8pyqP4KJGjo+LyJRqM7ABIyRfF4HA0NDfA8Dw0NDb4Nd2OxGBoaGuw9KkMHDD2PuNuA9qm6AxVM6ffsIx1bfq9zggHiwAg7p/FT6iKjkdfYI4rOG1bGZgHGxsZGrFixAul0GrFYDFu2bMFPf/pT9PT07AAcFFy7gIfjzSw6HUd1h+l5/K9gZjS3sTJ62kcKVlnbyWVgNaicC4Pxpt6PhSE6EsDZAI41xjwz/HcSgFsALDfGvAzgz4bfA8DPAawHsA7A3QCCUrzDcv7559uJdOqpp+Kmm26qskbjk3A4XBEIVRI+dLhZpEqlzyisNlrrctNNN+HUU08FMJT6fP7551dZo/1G9srziCvySmAHGNlt2/3cpfXd+ig7cym4Ljg1NjQgLCCo7iKNn9A6NLqiVxBTKBRQKBTw/e9/H+vXr0c8HseKFSvwqU99yhe/4sbhKJgBKht2prWzOKHbDkGiGnI3nkYNPwGhG5TO4+iy0r50XZKMl4lEIrZwJr9nSre6bFzww7gwt1yAy4ZoIUUFigqE3Pt2CxFq7FSpVPKVBeC9K5DUvtdrcgzZd5dddhlWrFiBeDyOV155Bffcc4+dB9RZQYqOMeeUy8BQB85JBWvaR6Mxfi7oUdbR1UeF/cXflLZH0EXwttsZIs/zfud5nvE87x2e5y0b/vu553nbPc87zvO8+Z7n/ZnneZ3Dx3ue513ued48z/OWep63XwdNj0ceeOABnHTSSXbgjz322CprND4plUro7e3d9YEAuru7d4gXOJDkuOOOAzD0I//ABz6ABx98sLoK7SeyN59HGpSpAMVlcfi9uroouuJVhkPZJ21fV8T6x7YVHLgrexcUuMBLM4gikQiefPJJ3Hrrrchms+jv78eyZcvQ0tKCjo4ONDU1wRjjK8rH67IfFPwpk8PPNV1aY4uAEVZEQYvWK9KgYT2H1yEblclkfKCP57slCjKZjM/VyD5iMUAFI/qdji3nhIJLdXEB8OmsRQLVxcn+d+srkeXTkgwKBtx4Lh0DLUTItpqamtDR0YFJkyZh2bJl6O/vRyaTwW233YYnn3zS9j/71p3HLvuk4IN94AJoXSQos6iLAR0vna+czzoG/FzbcsGQtukyUXuCIQpkN8pvfvMbO5D19fV21/NaEM/zkM/ndwqKuru70dHRgUKhAGBoCxNXKn1GKRQKyOVyb13ZKsrKlSsty+V5XpBmX4NCBkhXmsosKDCiodVVLzCypQMNoLJAClY0jsL93s0ycg2l1mzRrC/NDtIYDBr0YrGItrY2/Md//Ac6Ozsxbdo0NDQ04Mwzz8S8efOwefNmew1uCEpAMlqhRTdLjKBGzwH8O9QTxGgRTNbeCYfDyOVydnsRtsX9woChRAWyHARV6mbM5XLo6elBX18fPM9DJpPZoTZUNpu1Bl77d3Bw0Kaja8o7DTZBDYEBt8XI5XIwxtiaTAp03Pt2gZQGSrOfWN1c+9pl0uh5IPtujMHmzZsxb948nHnmmUin05g2bRq6urrwH//xH2hra7N9om5hjcWhK1Y/UzcaRdkk/tfjlbFTJlABKADLirluMwW2+ptTXTgG7D83XmmsEhTFqYIsWbIEL774IowxOPzww3HXXXfVzDYOBEXuPkEURe7AkLto27ZtvmN2FvlfaZVdS3L33Xdj2bJl9iGxZMmSKmsUyJsRPpCZZk9x40XczzWFWwvS0eWiD3UaXTVGrotAgZMbm+FmZqnBpmFQ4ERWhrEzbPvmm2/GZz/7WSxcuBDHH388IpEIVq5ciUwmg7q6OuRyOZ8LUe+f98XftLIOsVgM+Xze595TUKb9zNfKInHX+1AohEKhgEmTJiGbze7AOBWLRbtlCoEGwSw/pwEdHBxEV1eXj+1QMKb9S500Loa6uRu7plIpbNu2zcZXEvxocLkab51nNOzUIZ/P220/lEnTe6PQNUm3Xi6Xsxl5U6ZMwUUXXYQ//dM/xeDgIB599FF8+9vftvNCgSPZQ4JpF4wo4NSyDurW0nPcFH7O10rMETBSqoHHKEvmumvd358yoK7rbLygKGCIqiBr167F7NmzAQwN9rJly2oqHZurxUp/lYyFewylVCrtVxuc3n333b4962bPnu2rVB5I7YgLQjT1181yIQOghlhdXLpiZYwcgQHP1TgYl0FS46wuJsaa6IOfuvJ3Rh0A2F3AyRDR4L722mu48cYbUS6XsW3bNhx11FG48sorLVgjeAqHw8hmszaAuVQa2bndXflrXRp1ZShbQHHBkcuCcUNWsiwMclZ3FK9ZKpXQ39+Pvr4+X80iHs/UeDJqbJv9lMvl7L2yLykK2HgfBD8AbFq/6u7ek3vfGivD89Slp/8JzjRrLRqN2pIJnudZADk4OIgrr7wS73//+9He3g7P8/DFL34Rr732mmW+isWirx11V3F8lR3i3GZ/abzVaDFYLkPE++Mffw+cs+qWJvulbBXji3gdji31VGA5XncZEACiqsnGjRvt61AohObm5ipqUz3RB0ShUEAmk6miNm9NWlpafKs/HeNAaksYrEvWp76+3hdkDYxk4dD4c4VKdoAPZj7Q9UGvD3F3EaErY42H0eBXLj50mwwaUo0rikQi1oj09/dbxosAbmBgAJs3b8batWuxceNGtLa2Ip/P46CDDkJTUxM6Ozt9oDCZTPquT0CidW9CoRASiYTdQwuAbz80ZVr4Wl17bJ/3QfBIVoZB224MkzIDGv9Dt5UyPS5AobGnngxo5nuNgWG7BFRkZNStSjZF70nvFfBXnub4sO1CoYB4PG51Yl0oMkacD+VyGclk0gfYOzs70dTUhMmTJyOXy2H69OnYsGEDXnrpJWzatMnHFBJk6s71blwadeXnZMV4fbahiwTep35G0d+AMk0cM+qg26Mo68q5qKCTbBwZWtaFGq+3IQBEVZJSqeQDQTNmzLA7oR9IMjAwgC1btmDLli01HYh9zz33YPr06fZ9U1PTm1qhBLJviBbdo7GguKtcZStKpZJ9ELsP8UQiYR/kXO26dXfULcYVuutKY/s8Vw2OMkvlctnGidBoaJE/Ajdmj15yySV444030NLSgnQ6jUsuuQTz5s3z1SfSOKX6+npb0VrjYeiKUYCgump8CYGDug1DoZA1bMou8PxSqWQBgud5vuBsZfPYDwSEKspKKTszODiIzs5ObNu2DT09PbYKMttWMMKUeI2Z4hjQlaX3ROZGGURlV1xAoGy6blbK+lHKYrEadXd3N+bPn49LL70U6XQaLS0teOONN3DRRRchGo3a8SaLpuymAm/2hz6PeQ8a90b2kPetzKiCfY0J4mJBQSmzkhX0l8tlCzaVNdR4IdddR7aOTGDgMqsh6ezsxKRJkwAMDfSyZcsOyFo16quuRfnud7+Ld7zjHfbB2tzcjK6uriprFchbkXK5jEKhgGQy6Zuf6ubig1/jLDzPsyBBGRsaLYImdUe4QAiAD7ywLRoFprfTAA8MDFR0i2lMB6+v8T18nclkkMlk0NHRgYsuugh/+MMfMHv2bBx33HH4xCc+gaamJhvcrKn1asy53UcoFLL7ohHY5PN5ex8ahKyuIvc19Y9EItZNpiCBfanGk+CUxlJBGgGFMk+AfyNUshyM+QHgK3OgMTOqC4+vr6/3ueDcoGG+1vR4Ml809Pl83gIp7jFHAEsgTFDJ4HIWX8xkMmhubsZpp52G4447DrNnz8b//d//4aKLLkJnZycymQx6e3utbsqCcg65gJKlDdgvmlHGiuEcJ41bY/9z/mn8mM5FlxVUkMPYMc5fHq/gWBcknD9kKpUJHKsEgKjK0tHRgenTp9sH4Xvf+158/etf32FFE8i+J8YY3HbbbXj3u98NYAjYTZs2bb+KizoQhQ/uSCRi3T4EP3QvkLUZbQVNsBKNRn3p0DREBEQAfGwR3ys7osYAGIkTYiwNrw3AGigCCNUJ8BedZJvxeNwa+u7ubtx000145pln0N/fj6OPPhpXXHEFUqkUuru77YpdjZYxxgKmcrmMbDZrY1kIEJTFoZ7KGmitHdYvUkZIXZOM2yHjooZWY4PU3TOW5ynBFPuTIIFtuiwPCyeyXzWGhe/ZHseLxp0gh0ad7BPjkBi7xQw4zV5T0EBGkhv2XnHFFTj66KPR19eHP/zhD/jKV76Cnp4eO1dZmVuzE3UOq5uS4L1YLPrigxTssN+4GOB/3r8CJWYOKlhnEV66JvUcLWugTJC6nHW7Ef2dEVSOt8hvAIj2Adm0aRMWLFhg3x977LH4whe+MO6iUoHsPQmHw7jxxhvxJ3/yJ/azBQsWoK3tgC/KXvOirpFKmUc8xhjj2+tKV6R8QOfzecTjcftgpxHicXyoE2S4sUbqllODrQHBen01bgqC+Lm6WjSAdXBwEN3d3ejs7MQbb7yBG2+8Ed3d3QiFQjjyyCMtUwSMxEpFIhFkMhnfnmBkE9gXNFIaNKvAT40cdSZ7wCw1zXBz45cUJKpbULPdqK8GuFMYO0Td6HLhHCBY5bX5nZYdYF9ST2aJ6Xc8j/NIgQfZFwXAvB4DnnUPtkwmY8s4UN+JEyfi9NNPx/ve9z4LbG+88UZs2LAB27dvR3d3twUPGpfDPlMdNVaKY+KCJs5ZPV/7inNOMy0513nfvJ7GA8ViMRQKBZ+bWtvj2PJc7S/+RjjG4XDYln8ZqwSAaB8Rz/PsBrAAsGLFCnz605+uokaB7Ew+85nP4EMf+pB9z5VcILUvChSYScU/XbG6rICulNkOmQbGSNCgqwHXGAx1lfF4/tf4DnU7qWuCxkNjKRQwuWwLABuTQrZj27ZteOONN1AoFDBhwgR0dXXh1FNPxcc//nGf64aghS4nZm9p/IZmodH9xLo6WgoAgM2gUkBF9ojuGuqoBp394d4bj2e7bE8XmtRDGRHeE3Vlm8oeaYA2jyczwXFwQS4wUruIBpvjRABF95PneRZgEvzS5afHMvX/tNNOw8c+9jF0dXWhsbERhUIBb7zxBtrb22GMQSwWs25NZd507rE/OM85nrxP6k93mbI0+ltQ97ICJnXDcdx4LnUk86euLvajLij098X2mUDAMVOGbqwSAKJ9RF555RUcddRRvtiTeDy+3+3+vj+IOy5dXV044ogjsH79+ipqFcjuFBolANZVRmOqzIsGO2smmgaeArCxIcoyuQHHAwMDvp3XeQ1Nd9b4JQIKBWD6v1wu+1LPlTWhcYlEItYNpgHTXV1duP766/H888+jqakJ2WwWDQ0N1sBEIhFffaLu7m40NDQgFoth+/btSKVSdj8tGiy6HwmStGgj+4F6aIYRDTDvibEzNIzKLhFcESzqGNbV1dmij5qxpWCDfa4xPmTh1G1JHZXJULcgs5w0dox6KPhi24VCwY5tsVhEOBxGKpXC9u3b7X5r3d3dtr9zuZy91/r6ejQ0NCCbzaKpqQnPPfccrrvuOnR1dfncrwMDA3ZvNo25Yj9wvnJOue4q3rfnjWQ3ksF0yz/oHKebmeOiwef6e8vn8/ZzNxaJ48829VzqyutwsaKZcWOVABDtQ/Lss8/iQx/6ELZu3QpgaL+ziy++2Pp9A6m+JJNJXHLJJTjllFMAAFu3bsVJJ52E1atXV1mzQHaXaJyHPnxpRAD/VhsENO7u7pplxhU3Y2v0WmoAaMRpaCga76FxJ26cjLqfaMDV0AOwBkyZMIKnYrGIvr4+lEolvPLKK/jrv/5rvPrqq2hoaMB73vMe/Pmf/zni8Tiy2SwaGxstWOSGsARA9fX1yOVy1o1CsE9WEgAAMY9JREFUAMT+oD7KcDFgW4PByQ4BsAad/cT+UfBK4Kqp+MqkcUxcFoKASLPhCBBdNxr7UF1aGpBd6R5cN5+6lHh9NeIE0Mzk40atdFU1NjYik8kgkUjg/PPPx3ve8x40NDRg/fr1uPnmm7F+/XqrO89nn2t2nhvQr8HOLnOpbBzFBUp6vNZT0uuwL9mP3ABYY++UwVSXIgGkxhSpm5nHc+w5d8YqASDax+TRRx/FmWeeiQ0bNgAAzj77bJxzzjlIp9NV1iyQdDqN8847D2eddRYAYMOGDTjjjDPw+OOPV1mzQHankLVQ9sWl62nQyACoi4usAjDycOZDnIG0upp2XTlkHdyAaXURKSDTFGddtVM0vojn0ABp7BMZLq62C4UC1qxZg6997Wt48cUX0dzcjOOOOw4f+chH0NTUZNO2C4WC3TKC6d/q4vI8z7f1BoEPdVNhH5MBYpwU2QuNSdJCiApgFVyoYSUg1UBs6kJmjvegbbjjRZ1UF44fXYdqqF3WhOOgKeWMPfI8z+eC0/ICjK9hbaLm5mZ85CMfwbHHHouJEyfihRdewNe+9jW88MILdjsTYAgwEojrHOBcVHGBvvZJJXcV55vOZQVJlVL49Telc1GzKqm39jvnujvftf/ZPufOWDcjpwSAaB+URx55BJ/61KesC+aCCy7AGWecEYCiKkpDQwM++clP2l3r169fj0suuQT/+Z//WWXNAtkT4gYfUzSGR9kgfSDT7eMGYfM4dcfoqhwYyfLhQ16DdzVmA/CDLQqPIYNSKd5Jg0+ZQq/HMNU6l8uhWCxi9erVWLVqFZ577jmk02l86EMfwsknn2xjWeiu6e/vR0NDA4rFomWN+vr6LDCi8SNQoOuLBozMCuDfty0SiSCbzdq0f/aRxoioa0hBkI6VptfzM03HZ3+ybR1vdXu5RQeZ9p7NZi3Q07EnS0T9COTImhEQEPz09fVZNqivrw8NDQ0YGBhAPp9HQ0ODjXP6yEc+gg9+8INIp9N4/vnnsWrVKqxevdruB8k5zCw5Al0CTJ277pzld24NIPYBj9OSD+wz9o8CGX7vZlZy7JVR429J9Vb3sxvH57rgOPfJJo5HAkC0j8rPfvYzXHXVVVi3bh0A4OKLL8bpp58egKIqSENDA8444wxcdNFFAICXX34ZV155JX7xi19UWbNA9oQw3sJlY7hi1eNcpojHAyOGWOsRaYCzts32FICpQdDVOI2DujrU6FB0tU/jwVW2xoJUOp8GjTukP/nkk7jnnnuwZs0apFIpnHjiifjEJz5hDTr30yJjw/gaDTZnu9RfDafWoqELhWBDA5/Z1wQxBDXaJvtJs7X0Guw3fa26KGPHtjiemu6vGYh0sWnGmjI8en0FusqusE1eR4ObI5GIdZ9Fo1GcfvrpOOGEE5BKpbBmzRrcc889eOqpp5DNZn1BxexznWdksCoxh5w3OwtqVtDqlnZg3yh40dfaNnXQBAG25TJXbFMXFqorGVmKq8dYJdjcdR+WBx98EJFIBF/5ylewYMECXHLJJQiFQti0aRN+85vfWL9wIHtG4vE4jjvuOEyfPh0XXnghAOCll17C5z//efzkJz+psnaB7EmhEafBpMFTQKPuAo2PoGFhRWBlOyg0fhpboawDH+Q0sjyGGWturR2uuJXtIZhy4zfc++R/PZeBvQwUzufzePLJJ1FXV4czzzwTS5cuxYknnojBwUG8/vrr+MMf/oB8Po9EImH1ojGnawjALt1ICsw0K40p+MlkEj09PUgkEju4H8mOsc/YrjI6HEuKumQYI0TQQ0ZDdVIGieAnmUwil8v5ti4hUFQXEO9RmQyNrSJ71NfXZz9jP+TzeaTTabz3ve/F7NmzccIJJyAej+PZZ5/FP/zDP+D3v/898vm8vQfWD2I/EFRpH7h9roDHZYvYh1qygOBct49RFyzb1tg37XvON967Cxjd+ak6u9dRwKTgdLwMUQCI9nH5t3/7NwDAV7/6VcyfP9+yFNOmTcO9995r6fNAdq9EIhGcc845tr8B4I9//CP+8i//Evfff38VNQtkTwtdHNyzSRkHl55XwKErX2CkojTjUzR2Qt0E/Izn6p/GD6lLTpknzXxy2SN+r8aPhkWZIa3lQkNPpkyDs//3f/8X5XIZF110ERYsWIDjjz8ejY2N+OEPf4h/+Id/sLEunZ2daG5utm1ou8YY60JSVoH3SpaIbAjdVTTw1IcAMB6P29IBysToWNBQUgcN8NZ6RjoHlB0iwFHXmDJPmg7P7Dreg4IbdRNptXHOL7Jd0WgU27dvt1sA1dXVYcWKFfjEJz6B7u5uJJNJ/PGPf8R9992HJ554Ar29vZaJUlcYx9qNxXHHW8GfgjYeo7FD7ucEOnq+slI677SfNTBer+uCZgVXCqBcptUN4ia4HI8ELrMakH/7t3/D9ddfj1deecV+dvHFF+Oyyy4bd52FQHYtdXV1uOyyy3xgaN26dbjhhhvwox/9qIqaBbK3RF0ifFCry0tdZYA/VRjwx/JoAK6uctX9APgLFbINirrvaLx0xa3GAfAHYOs1XIPmtj84OOjbeoRAhfeTy+Xw+OOP484777TuM2MMTjrpJJx77rmIxWLo7e1FIpHwsU5agZnt8p51B3kaTR5DhopxOix6SCCjIFCF/azZY+wXBVUKntQNp2CCouOmNYHIjBGQMK2feqkuvFedY+oW0z5LJBLo7e1FPB7Heeedhw984AMwxiCVSmH16tW488478cQTTyCXy+0ATNguMwZ1HnMeVJof+p2CDX3N+LdKTJ/btrKeOv+UbVNgr25RFTfj0o03UmDFz1iIcjwSAKIakfvvvx9XXXUVXn/9dfvZ2WefjWuuuWbctGAgo4sxBtdccw3OPvts+9lrr72Gq666KmCGDhAJhUb2l9Kici7T4q5YlcWhoXB3Ztd4FD1XV+hunJKu5t0VthvPocyPywpVYoZUF7algcHqhiqVSigUCujp6cGjjz6Ku+66Cxs3brR6n3LKKTjzzDPtHlmAPy5GQSbBCA2WBneTnVNXG1m7QqHgS2Pn652xQpVAjb52v6/EGFFf7qvmeSNlAqiTywzS9UWQw36t1A/K+mm8VSwWwyc/+Ul87GMfsyBkw4YNuOuuu/DYY4+ht7cXhULBzh/X1eXW73HvW2ONXNDhsodsU+e3xvVovBavUSmon+24gIjt0evB/nQBr8teUUfqqbFXQZbZfiw/+clPcOmll2Lz5s32s1NOOQU33XRTFbXav+Smm26yNYYAYOPGjbj00kvx0EMPVVGrQPameJ5ni+rxYa4Pe3eFqm4CGkNli3icZpPRELqxRYDffaDuOnVD0ACq4XGBjhrcSveo16NonRyN8VDXDmvbPP744/jWt76FtWvXIp1Oo1wuY/ny5bjooovQ0tJiCwmS6QiFQrZmj7IZmuXF6xUKBaTTaZtmTpeZBrYzQ6yvr88HSJRl0nignd03v9PMM2UxCL7I8OgWFFqAMhQaKqyYTqct08Y/ZbWUJeJ+W2TWWOiypaUFF154IZYvX45SqYR0Oo21a9fim9/8Jp544gm7xYW6VTkHNKCYmXzKYrr3roDdBdoKqt3FgQJtndMu6+T2u1ZoZ0JCJdcuAS/nv9uu3rfGHWlph/GIqXSBvS3GmOorUUNyzDHH4Ec/+hFaWlrsZ7/73e9QKpVw1VVXVVGz2pVvfOMbCIfDOOqoo+xn27Ztw6mnnor//u//rqJmNSn/53ne4dVW4s2KMcbjyl7ZGRpLl11RdxUDY3msull4ngb58hyXkVCmSWOJ1Gjr9fW/xnxQNK6iUn0lNZ6aHk4jp0wVgWI0GkUikcDixYtxyy23IBqNIp1Oo1Qq4amnnkI+n8f3vvc9bNu2DQ0NDRYwlstly/4MDAwgnU4jl8tZcMGA4KamJrS3t6OxsRHhcBjbt29Hc3MzstmsryI1Y43IyPBe+F0ymbR7olWKV9KK0txEldtIKJjhNdytPdLpNDo6OtDS0oLBwaE94SZPnozOzk7EYjELzMrlMpLJpN2LjGCOQdihUAi9vb2YNGkSLrzwQiQSCRx++OEIh8PIZrPI5/O44YYbsGbNGuTzeZshyDF056xm+WkMkMs0MpDcjTXiPNT5q/95rluHiyDeZYs43xTw8xxljvgd558WXXTdfNSFgNhdBAyfP+bnURCAUoPy29/+Fh/4wAcQjUbxyCOPIBqN4qijjoLnebj99tuDPdDGKXfccQfe/e532x9tsVjEn/3Zn6Gvrw9PPfVUlbULpBriZh8BI24pAgI3PkLdZGQ1XIMAjLAtjDeh6LHKPul1dFNNirJY1FPdJqq/ZpLROGnqvMaaEDgpW8CVeCgUsoUZn3/+eVx44YWYMmUKrrvuOhxyyCGYM2cO5s6di4GBAfzrv/4r1q1bh6amJuticuNcyuWhHd2LxSJKpZKtfM0UfBq8eDyOnp4e22+s6Kx6KYOn40LQ0N/fb6v/8xrsU2UFlanQQo28Jo/XjVzppmFlabqzuHM92SwNrGe/b9u2DfPnz8dpp52GD3/4w3jllVfQ3NyMp59+Grfeeiva2trQ1tZmizbyPI6Tzitli6g33XbsHwInt26TVn5WIOIykpzrCoDc344SLnQJqptNgQ1/X3yvjCo/c38bvDd1F2pb4yV8AoaoxmXx4sV49tlnfRH2Tz/9NC655JIqa1Ybctddd+HQQw+1BmRwcBDLli3DmjVrqqxZTUtNM0ThcNhTkKMskD7U9cGucSduqnwlFkmDiNUlVumh7sYqMSZFU8TdeBiXYXJjZ7TujhtjxGBmuo7YDl0vypro+Y2NjViwYAG+9KUv4dBDD8X69evR3NyM3/72t7jzzjuRyWR8G92SiSGTowki4XAYPT09aGlpQTabRSqVQnd3tw+8xONxG7/DDDRly/Q3zSrP8Xh8h8zcSCRiv1M9XEBK8NPf32+P1eKKZLpSqRQ6OjowYcIEH1NHJoOB6wRluVzOsmuXXnopjj76aGzfvh1z5szBM888gxtvvBEvv/wyenp6fEyPzkPGvWkmogZ3U9wkANdNxbYplWJ3eB9aWFPj03gMzyFjozrzugp43Mw1bYdzQt3G1JW/G7rr9Pc37MIc8/MoAET7gcyePRuvvvqqfV8ul7FlyxasX78eV1xxRfUU24flO9/5DmbNmoUpU6b4VtZz587Fa6+9Vl3lal9qGhAZYzwtDsgHOd0bbmyJ/tdATze4lAGz6i7jOfpfK1HzgU9jQGbENerKXKk+/I7igi7ei67y6eKp5F5RvZQxYiB1S0sLpkyZglWrVqFYLOLggw/Gq6++ikwmg1deeQX33nsv2traEIlEMGHCBPT09ACALw2/WCyioaHB9hVdYozVmTBhAjo6OpBMJi1LRaChwv5SFqhUKu1QF4lt1NXV+UCTG99F4MM2stksJk+ejK6uLntOX18fEomEdQuyZhLjh1i4kvc+MDCAKVOm4IILLsDcuXORTqcxe/ZsvPzyy6ivr8dll12GtrY2dHR02Pgkd/4QWGgcED+jC1JdhVqw0gXDBNs6NxVkK6Aic8ZzdD4RbCu75jKuOj91UeDGG/F6btyTfu55I1ue8FqMTSuXywEgOtBk0qRJqK+vx8aNG+1npVIJvb29eOyxx/DFL36xitrtO/KVr3zFboSohmL69Ono7+/Htm3bqqjdfiM1DYjC4bCnBn/4MwuK5Dj7mscq60MjoatnxkVozATgT8enO4MgRVPUKwEeXVXrytwNnqV7RtORldlyXUYECZpCroaOOms/NDQ02AyxqVOn4pvf/Cbmz5+P3t5eRKNRbN68GWvWrMEPfvADbNq0ybrRuru7EY1GkUwmfUxQsVjE9OnTsXnzZiSTSWSzWaTTad/msqxBxP/qhtG+qKurs+dlMhkYYyzzlEqlrDF1+9iYkYwlFpqMRCL2vN7eXssOTZs2DZs2bUI0GrXutaamJuRyOfT19aGxsRH9/f3o6upCa2srzj//fCxcuBCtra32+7Vr1+LKK6/Eli1bLBjs6enxxT3pPHEzFukeU3Ci+7rpOAMjGX4K8hVgKTDW+eK6pXSeUjd1Y2qfaqyRgjAF9loPS+c/3yv7phXB2T7rOeXz+TE/j4Iss/1Etm3bhk2bNmHatGn2s3A4jIkTJ+KEE07ADTfcUEXt9g35y7/8Sxx//PGYOHGi7yE+depUbNq0KQBDgQAYAQ5crerqNR6PW3DkusIoBCh8eCsAIlNAYESgxPb5vQbI6gqam1sSXCkQA0Z2Ted96DUI0qLRqG/XeP3jeRTG91TKBGL7BImlUgnbt29HPp9HV1cX2tvb8YUvfAHr1q2DMUMp4IlEAieccAJOOeUUTJs2DeVy2WZXxWIxtLe32/tnRW7u1k5WiZWrM5mMrdbPjCR1u7ibuxLY6VYU+pkepzWOQqGQ3RyVsVPZbNYGXjc2NtoigPl8HqVSCYlEwmbVtbe3IxaL2RpN5XIZU6dOxamnnorjjz8eiUTCjsfLL7+Mz3/+82hvb0dnZyfy+Ty2b99u+511hRRYMDid46HgRl1TCvCMGQqwZ9afghgFFQRYynpqeQkyZlpegdfhZsEE4DoXOX81oFv1pEtW0/15rxxvXi8ej/vmuALg8dYhChii/VAikQjmzp2LtWvX2s842e+++258//vfr6J2e18uuugiXHDBBb4VNgDMnz8fr7/+elDte/dLTTNExhiPmWJ8KFdaFbuAR+vtDLfji7dRlwbdU27dGDcmqVQq2aw1bpGgadYERRrU6rrOKj3jGX/DeyNL4AItt0Kxxq14nuerEh0Oh5HL5SwoS6fTiEajyGQyWLp0Kf76r/8ab3vb25DL5TAwMID+/n78+7//Ox566CH09vYimUxad1RXV5etIdPQ0IBMJmM3Pe3q6sKkSZN8+50poGF6vFaKpjsslUohk8nYQOiBgQGbhabZZjyXbWnb2mft7e1oampCNpu1cUDd3d22L5qbm61LLpfLoaGhwW7Kyv3fkskk1q1bh+uuuw6rV69GOp1GX1+fZbFKpRKSyaQFPtFo1I6djnOlmDB1Z/E8zi3WSnKZtEouUWCkPpcGrpNtYt8wBo2ASeOBdI7TlcZgaAVrygwR2Lj3pvq6cWP6fvjZHrjMAgGWLVuGp59+egffq+d5+OIXv4hf/vKXFR+W+4MYY/DBD34QN954Y8X7X7ZsGZ577rkqabffS80DIj7ctdKy1gJSBgHwZ/a42S3qatAH/2jxQOqS4gPeNXw0VjR0un8YV+V6jBouTdGnLm7dGk3rdwGhusmoI4N4Pc+zdXWYEZdIJDB58mTMmTMHX/7yly2jwhX/4OAg7r77bvzP//wPuru7kUgkrAvK8zybsZXL5dDa2oqNGzfaLDSyMbwPYGQjUM2WikQiyOVyFlhov4ZCIbtPGu9bayNpkDVjmsLhMOLxODKZDKZPn462tjaf2y4UCtltPvL5PBobG3HMMcfgggsusACNWYPd3d34whe+gFdffRXt7e0WtLCODusZaRCzxvJUiq/heDGwWuecblCr51UKsub5HON4PG5ZKnWZKoDSlHuNt6MO7E/d50/BjIIaXpf6uYHkCpyUyWXfDf+GA0AUyIh86EMfwgMPPGAfbiqXXHIJnn322R0CEmtV6urqsGzZMqxatcr3OX+cK1asCHap3/NS84DINQZ84GrAMwAfsFBXFR/ONMo83s3yYVsuo6N/BFOa7q4uEY3v0RgaZonRYGgdIXeVrQCPLhS2r0yYMgjqaqKbkfddKg3ty8UA41gsZj9bvnw5Pve5z2Hy5Mm2T8LhMAqFAu644w489thjGBwcRKFQwIwZM9De3o6JEydi69atSKVSyOfzNgaQrjQGGxNkMnOMG64ShHCbDQLG+vp6ZLNZNDQ0oL+/37bBekMEmgQRdJPxfug6KxQKaG5uRm9vL5qbm7Fx40bE43HU1dXhiCOOwOWXX25dgByT9vZ23HLLLfjNb36DaDRqg6bD4TDy+byN4WKfaskE182nDKXOCZdFVNca21Vgo+4q9qVmsPE7nRfsC4IfF0y7gE1BF0Xj7DRurVKqv/7O+PtRMKdtDF8vAESB7CiXX345vvnNb/pqn1BOO+00tLW1ARiqEltLwjTeadOm4Yc//OEO3w8MDOCzn/0sVq5cubdVO1ClpgFRKBTyaFgYY8G9uDTTZvhYnzuJjAcf4ApkGOjKY9UwqQED/K45GmndB4tGwg1ydoNVlQ3RtGWNFaGuGqirZQMIsug6clP6lSFQQAQMZVMNDg7awojRaNQa0BNOOAHXXnst4vG4DwzkcjnccccdePzxx9Hc3IwNGzagsbHR9ncoFLJB2gQu1N8Yg0KhYDPJNHOPrJTLHGnFa2bLKTCIxWK+GBfduJX3Rzva3d2NGTNmYPv27TjiiCNw2WWXIZlMWvBVLpeRz+fx9a9/Hb/61a9soH6xWLQAsq6uDr29vbavNdBYGUIdY7bPAHB1M+n4qOtJx9JlAd1aRApOlAFVVk6Ds10GShmcSmn1XIDQ5aauNWVoKbrIIMjnAkYZznA4jP7+/gAQBVJZrr32Wlx99dXWv19JTjzxRLsK4A9zX5OGhgbrh/7lL39Z8RgGP95yyy247bbb9rKGB7TUNCBiDFElYEOwoMaDD24aEq1QrfWGlE0ZbfWrK2q2q646HkcWQ4/jsTRy+myn7tSDYILn8//w/e+QfaauCsAfoMyAZqa1h0IhW7GahQlprGnUYrEYJk2ahA9+8INYsWIFpk+fjkKhgIkTJ6JcLuP111/HggULsGnTJtx888146aWX0NraihdeeAHNzc1WLwA2roUZWTT+kUjE1jAiUGWBRG4+y7geAjZmoqVSKR8jQ+Cl7hje+/bt27Fo0SJs3rwZCxYswA033IDW1lb88Y9/xOzZswEAPT09iEaj2LRpE37yk5/g5z//Odrb2221aQ1SZqBwOBxGJpOxoIZp+zp/NDnEBUya/q5zi/+1ujev4VYxV9Cuc90tX6AgzWWeFDypPvo74hzV3xSvtbNFiMb5uYUmpXBlAIgC2bl861vfwkc/+lEAQ1lWlVijUqmEk08+2b6udhbW5MmT7UPwoYce2sH9BwytBMl0/ehHPwq2MqmO1DwgUjYFGEkH1pgMisZccKVOtoMrWc2+0Xblmj4jpp9p8KkCEzfQWY2LG4ehsU+apdbX12dX37wHvT/Vh9dys+uUAVM3ILO1uLhSN2JdXR2SySQKhQKMMbjsssuwYsUKdHR0YOHChVbXbDaLcrlsj7322muRy+UQDoexfv16TJw40TJCagzJWLDPyG4lk0lbG4iAqLGxEdlsFgB2OIdGmqChr68P8XgcnZ2dWLBggWWJbr75ZlsWgICQ11y7di1aWlrw4IMPYtWqVfC8oWD0XC5ngZqCCHUZUTj3lH3TIH4XMOiYaakHsicum6PB8wpGNF6HLA/diDr3XdDmPpsrzXlX3Dg3ZZVcRkqvTVegBns7DGsAiAIZu/z4xz/G/Pnz8fa3v933I1Tp6OjAZZddZt9ns1m0t7fvUb0mT56MVCpl369cudKuDl0plUp48cUX8dJLL+HUU0/do3oFskupaUAUCoU8YCQ+yF2hKlMDjMSn6eqbhtWNlQCwQ1s7i0NSoFEJ8KgxUiPmsgIuY0UD5e7WrsHheo/aLhkhZmTRpaFZSARD6krT2JRyeWibi0gkYl3edFl9+ctfRktLCw477DDLzAHwbeuxceNG3HHHHbYoYldXFzo6OgDAxt2Q/RgYGNghCDufz9v7KBaLNgg6k8nYIHXNOgOAlpYWNDY2oq+vDxMmTMBf/MVfYOrUqbYtpn+TsXj66afR0dGBL37xi3arDWBouxFmi7HPNFhaXZcEw9rfBLNaKFIBis5LzlWOBZkut/inBicrW6iuVAIWnXt6HTJMCsB4LIXn6bXcYGoNCNeCj+oKVuGcVTaX9zY8vgEgCmT88rOf/QwTJ04EABxxxBE7Pfb3v//9DoHLlJdffnnMcUjxeBzz58+v+N2nPvUpvOtd79rp+Y899hgAYPv27fjwhz88pmsGsselpgERGSJgx1gePi812FXjfvQBT2Ps7mmmLgldmbuBzq5xowtAY0NcFkvdPNqmMjQ8Vg1HuVxGKpWyGUQEIlr3RYOqtS80oJWvI5GITesmiGJ8jjIIeo/KCEQiEdx2222YPHkytm/fjuXLlyOTydggbQZA00Xz9NNP46GHHvJt5REKhZBKpfDUU08hGo3C8zyb8eUWZtQtRA4//HBks1kLbLndyMknn4xly5b5QE8kErFB0Ol0Gg8//DBaWlqwZcsWXHvttTbl3q2HwzGj64kB4gQedGeR+VAGT9kSBRHqbuXcI6Cnq3C0+acMFeeLgh5lRl1wxGtU2vhY56/LNCr413b5++I8cRlRArydpexrAlGQZRbIW5af//zndoItX758XOfeeuut2LBhw5iOnTlzJq6++upxtf/rX//aPrQ/+MEPjuvcQPaK1Dwg4tx3qXpdjWtWjz60K4EFBRL6kNcHvWtM1H3Aa2vwMOCPYQL8QaqjtV/JuDCeiCyGG0Ct11IdlRXj9WmQNZ6K1yczwYw01tapr6+3gcqanUZ32V/91V/ZrK/jjz8emUwGjY2N9vh4PI58Pm+ZKrIq2WwWP/zhD7Fx40bbH5pSr4xCKBRCa2srPvGJT+wQQ8QNYQuFAiKRCGKxGLq7u5FOp/GrX/3K6v6FL3wBuVzOGmQ9vlgsWjccDbpmu+nYkB3RLEf2ocbn6Dn6p3E0HE9ehy5MBblsxwVb8pvwzScXOLFf3UWDAkFtn3NLXXLKAmkZCZ2rukBxyydUAnvDbGUAiALZPRKNRnHvvffa9y0tLeMGSG9VHn74YWzfvt2+P++883zF0gLZ56TmAZFL+6tBGD7GR+ETLCg4UQDD16O5spzr77DyVyBGw6NGkmBLjwN23ANKAQH10IwkZYYYG8R70d3VgSHWgPdGQ8/+YRyOtgX46+MA8AVil0olxONxX2YU+4HVsJubm/HpT3/axug0NjbiyCOPtHqQlaLeBF3qunOZEDeLS9mzcrlsXWg0xP/zP/+D3t5e1NfXI5PJ4Dvf+Q46OzthjLGJKhxbjhMZK46n7gHGcWB/UGfqxjEmc6YB2BxPulbZz3SvKShRBkVBi1uPqNKcJMBzATevpW41BSg65tq+C+DZtma3qXtX5wOvqYsK/Z0pkBqe0wEgCmTPyOzZs3HNNdf4PjvyyCNxyCGH7Jb2n3nmGTz66KO+z2699dZgw9Xakv0CEKlR01gKNw5i+BxrqEjZa0wIRQ0RgB0of0cP+9p1mdBgVHLHKHPgskHuil0BnXsOmQrNcuM9Uh+yZAwi5/3zOzdbT+NeeG19TR0Zi0K2gOAKgC1cGAqFMHfuXHzsYx/zpWW/4x3vwJIlS6zerDatutPY6r0yEJuumnA4jNWrV9sCrgQT999/P1555RXLUsTjcQtueL2BgQGb6q/MiZs+Hw6HfawNx1Vjg9TYs5aRG+elri8NInfBDa/tzks3c9JlpVQIotx5xzmmc5CgRMGRMqsaZ6QskSYDKJh2mUiXHdI+YSxbAIgC2aty4okn4sgjj9wtbf3v//7vqGn0gdSM1DwgqpTOrO4CXf0rTa/GQkGPuiXYpuv20lUtZTQmie0w2FbFZaEqfcfrqCFU9oTAxM10cnUkMGFgMNkUshWaSk0jrm41jcMiu8PX1FeZMcbZsF0eR/3C4TDe9773YfHixb77JltSyUXD98pkUVavXo3HHnvMx/wB8O3fRmaoElNC5kxBGa+tLB3/K5Bm4DULT/I9z1WXn4Jb7Qv2uftaQbvqQFEg485BslHu/OR5+pvgZy6TowCcx3C8OQbKUhLcuosQPc9lY/ldEEMUSCCBVFNqHhDRpUHDoKwQ4M+6UgNLZkE/dw0I4ActfO+uzF3WxnV/uCt3PaeSsdR4D42xUGOvOrsG27UVDCqmC8bzPJtpxfgXBT00dtofytrwNYGauo0URBGMKANFdxbvm6DUHTs19KOxJ2yDrJS2QaDLDUs9z7NZW65LjueqO0zHmwxcuVz2BUDrfdMtySSVSm4vnQ/qRiIAdF2ElRgZZedcEKTH6tgro0SddL7oPNZ+VT30dwSgopuMc0XvVwGPC6rcvhhPDNEud7s3xswwxvynMeYFY8waY8xnhz//kjFmkzHmmeG/k+Sc640x64wxLxljThiLIoEEEkggu5K99TxSt4YaB67w3VgFBS/qBlMgoNtoaPtqHNiG666o5L6o5EpwjQ7gD36mQVXXgwa38vpqKHnPfE2Qw/vj58AQc6KZZTymUu0m1UGNrQIEzazjeWyXYIiMCWOotHihXk+ZGPaVggHtQ/YJXVccV16LMVAKxNhvWjFajfho98zPNJ6Kc4z9qQyQMnoa56XjwOPUVeeCerah96+Mi4JjvQe9TiWmR+eqLiAUoOs4ACNZm8p+UW8X+CvLpPPddQfzPsYjdbs+BIMArvI872ljTBrA/xljfj383Tc9z/OVADbGLAJwOoDFAKYB+I0xZoHneTs6HAMJJJBAxid75XnkBpq6GTSuIVRjorE6aigZ36G1WhQ8uWBJawspu6PZWepmcYEWdQH8LgV+rkbWLYCnrjXer5sxpyUHeI4yOozD4r0R6NBYM9PMBY8MZOZ5vF+61JRVceNTKjFurtFWhqVSDJaOP9tWw6zsDIEP44Z4z8rkaFYYP+d5BDvuHFJXpm6uqmDDdbXpuCmQZx/rnHXde+z3Smygsmr8cxkxHkf9dA8/vT+26xbzrDRn3ZpGCupdFssYf40ttz/HKrtkiDzPa/M87+nh1xkALwJo3ckpJwP4F8/z+jzPexXAOgDvHpdWgQQSSCAVZG89j3T1qoZfA4zJ0Kgh4DHKuhD4aCq0GzBLd8nwfflWxzQ8Gn+ix/G1G6Sq13fb1awx6uemfrsrb1218z2vpyyXxn24Bf9Ufw3MZX/V1dX5KjKzXQIEzULieWxX/ziG7DP2rQtWCeDYlsu6sD0dK40z0gw5DRKnjgyqZvsAfPFDylxRH/aLGXapaeC79jX7UFkQ1+XF62msGfvRZY90juifxn5ReC5BFPuM4+y69Nx+pK5akFJdnBwXDR4fjR1VEKjZZ29GdgmIVIwxswEcCuCJ4Y8+bYx5zhhzjzFm4vBnrQC0CM1G7PyBFUgggQQybtlTzyM1lK6LQ1fQNOB8z/80kIz/UNCgzI6mplNowCnKFCnoUBeE6yrRdhQc6SobGDHmeo+s48MYKv6nwVJDrG5DNfxc9etu6XqPqrvLfLFf1K2iTJbLbtDwsi3qpeBBAazrMnLBrQsqaWT1O4IZtu+6IhXAqAuM5/OeNQhax4zzKhwe2Z2egdkuO6cMFvXk+PJ4siw8z/M83357OgacH5XYRH6m96RjNlps1miuMbJkBHWuG8xlYHUuua43l23l76HSllQ7kzEDImNMCsD9AK7wPK8XwEoA8wAsA9AG4BvjubAx5mJjzFPGmKfGc14ggQQSyJ58HvFBrEGwFBpJ7kFFZkXZFRomNZwAfAaFgEtX0soK0HirAXVjjXg9t222qUbNdTFQNBtuYGDAFsRToEFXhIINYITV4f3wetSZbWm2lOs6oXHljvIsEMm2CB61v9mWjJ3VoRLbEYlEbLwRgSrP06wtsjFqbAk0+KeAuK6uzmaXMSuMRp5jAsC6xWKxmA/wKbPBwpTahsbTKKDiHKkEdnUzYbY1ODho45mU+VKGR0GQMp563wpqlfHTuauMTSgUsgBbwY2yapXcYGyP/9kex51zQYP5VW9d0Iy3Xt2YAJExJoKhh88/ep734+EJsdXzvJLneWUAd2OEht4EYIacPn34M594nneX53mHezWcjRJIIIHsfdlbzyMacGVf9AFOI0TjxYe/MgbqUtC4Fl3RK8uj7AZZAV1xM3vLNYA0AMpKafo/P6PQIBF0EPioS4vXIDDk6l77QXexV3cF3U/su0Kh4EuHVkZpcHAQxWLR9gOBA+/LjTuigVfXDzASZKyuHrZDRsQNElZWRoGkC/xUH84LlhegO0rdcRyzWCxm+6dYLNpr0DXI9kulks0kU3ZPgQnHob6+3sfaaJA72+fY8j40IHs0kMy2dCyNGapeznIS6mLUhYG2ya1IOJeot+qj4E6ZS/Yh5wZ14u+AGWfKjrlA0fM8e/x4ZSxZZgbA9wG86Hne38jnU+WwjwJYPfz6IQCnG2Oixpg5AOYD+P24NQskkEACcWRvPY/4IKeBcF1SbhCrshfqblFDxYe/ru4VdNAAkVnhNTQ4mQAE8G+lUWllToCm7hF17fA1QYQGyrIdGle6+tgn3FpCCx6q4eX9qrFW/XR1r6yaMcbW3GEgtTIiNIhsR9kcjpkyRGq0yciRLSmXh3avd6tDa5uAP4aKY6l9pPuaEUCwz4rFoo+1oHDM3WwtjgmvqwCNLiq3zhPHQecAwa2OIeeejgWvyflI8Mm2dTyVOdWxUxZIFxE8VjP2eK8Eha7LVkEux4Hsq4IpBYsU/lZZmkHvcawyliyzIwGcDeB5Y8wzw5/dAOAMY8wyAB6A1wBcMnyza4wx/wrgBQxlhFzuBRlmgQQSyO6RvfY8ojGNRqPWALmsjj6ggaEd2RXAALCbjQLwgQVd5Wr8BAC7UzuNSzwet/V3KAo01MXnuspoBBUg8Hx1C6q7grpEIhFfGnsoFPK5X3gdrfBMBqNQKNj7AuC7H36mxl7vRQOhqTOZFN32gwwCjb4bmE7DS9ZDmQdlgDS422V5CLwUqHA+hMNhO1bcMkSZCmUFeS8aRK3jznEhU8RtTBQoKDAheCEAo3sxGo1aAKsAVwGjywxRD91+Rdk1jhH7QQEexzCRSFi2ke5LBWQK5NmPyoSVy2XE43Hf/ncEfOoeZN/pXGEGom5rw74eD1MUFGYMJJBAdrfUfGFGVlzmg1izoDSA1A0O1qDYUChkY2Ki0SiKxeIOLi4NEB6+ts94urWLGI9DQ6V7hdEgaluqM6+nRp/X5+7qeo4CJwA7AC6+1grPnuftANy0irMyamoMFcCoi5FtUmhc+b0aTGcMbXvMpmO8lzJSBHnceoT3w2spmKFoBqGyIa6wLZfRcNkVHst7Z8wR70FZR9676s9rKFDkewUTsVjMglRlHxV8k1GsNBcVkBKgRiIRFAoFu2hQF5/bTzo2bkmJUqmEWCxm752gTsed4rrveJ88Tlnc4d9qzVWq3gYgB6Cj2rq8SWlB7eoO1Lb+taw7UNv6j6b7LM/zJu1tZXaXBM+jqkugf/WklnUHKus/5ufRPgGIAMAMZXfU5KqylnUHalv/WtYdqG39a1n3XUkt31st6w4E+ldTall34K3rP646RIEEEkgggQQSSCD7owSAKJBAAgkkkEACOeBlXwJEd1Vbgbcgtaw7UNv617LuQG3rX8u670pq+d5qWXcg0L+aUsu6A29R/30mhiiQQAIJJJBAAgmkWrIvMUSBBBJIIIEEEkggVZEAEAUSSCCBBBJIIAe8VB0QGWNONMa8ZIxZZ4y5rtr6jEWMMa8ZY543xjxjhjenNcY0GWN+bYx5efj/xF21szfEDO383W6MWS2fVdTVDMnfDo/Fc8aYw6qnudW1kv5fMsZsGu7/Z4wxJ8l31w/r/5Ix5oTqaG11mWGM+U9jzAvGmDXGmM8Of14T/b8T/Wui/9+MBM+jPS+1/EwKnkf7pP67r/+1kuTe/gMQBvAKgLkA6gE8C2BRNXUao96vAWhxPvs6gOuGX18H4GvV1nNYl6MBHAZg9a50BXASgF8AMADeC+CJfVT/LwG4usKxi4bnUBTAnOG5Fa6i7lMBHDb8Og3gj8M61kT/70T/muj/N3G/wfNo7+hbs8+k4HlU1b7f48+jajNE7wawzvO89Z7n9QP4FwAnV1mnNysnA7hv+PV9AD5SPVVGxPO8/wbQ6Xw8mq4nA/g7b0geB9Bo/Jtm7nUZRf/R5GQA/+J5Xp/nea8CWIeRXc/3unie1+Z53tPDrzMAXgTQihrp/53oP5rsU/3/JiR4Hu0FqeVnUvA82r+fR9UGRK0ANsj7jdj5De4r4gF42Bjzf8aYi4c/O8jzvLbh11sAHFQd1cYko+laS+Px6WEa9x5xB+yz+htjZgM4FMATqMH+d/QHaqz/xyi1qn+tP4+AGvxNOFJTv4fgeVRZqg2IalWO8jzvMAAfAHC5MeZo/dIb4utqop5BLekqshLAPADLALQB+EZVtdmFGGNSAO4HcIXneb36XS30fwX9a6r/DwDZb55HQO3pixr7PQTPo9Gl2oBoE4AZ8n768Gf7tHiet2n4fzuABzBEw20lnTj8v716Gu5SRtO1JsbD87ytnueVPM8rA7gbIzToPqe/MSaCoR/vP3qe9+Phj2um/yvpX0v9P06pSf33g+cRUEO/CVdq6fcQPI92rn+1AdGTAOYbY+YYY+oBnA7goSrrtFMxxiSNMWm+BnA8gNUY0vvc4cPOBfCT6mg4JhlN14cAnDOcXfBeAD1Cpe4z4vixP4qh/geG9D/dGBM1xswBMB/A7/e2fhRjjAHwfQAvep73N/JVTfT/aPrXSv+/CQmeR9WTmvhNVJJa+T0Ez6Mx9P9bjfx+q38YimT/I4YiwD9fbX3GoO9cDEWuPwtgDXUG0AzgEQAvA/gNgKZq6zqs1z9jiEYcwJAP9YLRdMVQNsEdw2PxPIDD91H9/35Yv+eGJ/1UOf7zw/q/BOADVdb9KAzRz88BeGb476Ra6f+d6F8T/f8m7zl4Hu15nWv2mRQ8j/ZJ/Xdb/wdbdwQSSCCBBBJIIAe8VNtlFkgggQQSSCCBBFJ1CQBRIIEEEkgggQRywEsAiAIJJJBAAgkkkANeAkAUSCCBBBJIIIEc8BIAokACCSSQQAIJ5ICXABAFEkgggQQSSCAHvASAKJBAAgkkkEACOeDl/wMzhrd2ns5AKQAAAABJRU5ErkJggg==", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "import matplotlib.pyplot as plt\n", "def plot_images(image, recon):\n", " _, ax = plt.subplots(1, 2, figsize=(9.6, 5.4))\n", " ax[0].imshow(tf.abs(image), cmap='gray')\n", " ax[0].set_title(\"Original image\")\n", " ax[1].imshow(tf.abs(recon), cmap='gray')\n", " ax[1].set_title(\"Image after forward\\nand adjoint NUFFT\")\n", " plt.show()\n", "plot_images(image, recon)" ] }, { "cell_type": "markdown", "metadata": {}, "source": [ "### Use the linear operator\n", "You can also use\n", "[`tfmri.linalg.LinearOperatorNUFFT`](https://mrphys.github.io/tensorflow-mri/api_docs/tfmri/linalg/LinearOperatorNUFFT/)\n", "to perform forward and adjoint NUFFT. This might be particularly useful when\n", "building MRI reconstruction methods, as you can take advantage of the features\n", "of the [linear algebra framework](https://mrphys.github.io/tensorflow-mri/guide/linalg/)." ] }, { "cell_type": "code", "execution_count": 8, "metadata": {}, "outputs": [ { "data": { "image/png": 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", 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" ] }, "metadata": { "needs_background": "light" }, "output_type": "display_data" } ], "source": [ "# Create the linear operator for the specified image shape, trajectory and\n", "# density.\n", "linop_nufft = tfmri.linalg.LinearOperatorNUFFT(\n", " image_shape, trajectory=trajectory, density=density)\n", "\n", "# Apply forward transform to obtain the *k*-space signal given an image.\n", "kspace = linop_nufft.transform(image)\n", "\n", "# Apply adjoint transform to obtain an image given a *k*-space signal.\n", "recon = linop_nufft.transform(kspace, adjoint=True)\n", "\n", "plot_images(image, recon)" ] }, { "cell_type": "code", "execution_count": null, "metadata": {}, "outputs": [], "source": [] } ], "metadata": { "kernelspec": { "display_name": "Python 3.8.2 64-bit", "language": "python", "name": "python3" }, "language_info": { "codemirror_mode": { "name": "ipython", "version": 3 }, "file_extension": ".py", "mimetype": "text/x-python", "name": "python", "nbconvert_exporter": "python", "pygments_lexer": "ipython3", "version": "3.8.2" }, "vscode": { "interpreter": { "hash": "0adcc2737ebf6a4a119f135174df96668767fca1ef1112612db5ecadf2b6d608" } } }, "nbformat": 4, "nbformat_minor": 2 }