diff --git a/notebooks/luminescent.ipynb b/notebooks/luminescent.ipynb
index 916326e4..b348ce14 100644
--- a/notebooks/luminescent.ipynb
+++ b/notebooks/luminescent.ipynb
@@ -1,912 +1,785 @@
 {
-    "cells": [
-        {
-            "cell_type": "markdown",
-            "id": "a25f9c82-f989-4d22-a431-ef79cbf1c80a",
-            "metadata": {},
-            "source": [
-                "# FDTD Luminescent Simulation and Inverse Design\n",
-                "\n",
-                "v0.3-beta  \n",
-                "2024/12  \n",
-                "Paul Shen <pxshen@alumni.stanford.edu>  \n",
-                "<!-- **Undergoing maintenance. Check back in 2025 :D** -->\n",
-                "Open https://colab.research.google.com/github/paulxshen/Luminescent.jl/blob/master/Luminescent_AI_docs.ipynb if you can't see ouput figures or table of contents."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "b21851d9-82d7-4d88-b6f8-ba28c78d731b",
-            "metadata": {},
-            "source": [
-                "# Synopsis\n",
-                "\n",
-                "[Luminescent AI](https://luminescentai.com/) empowers photonic and RF engineers to simulate or inverse design complex electromagnetic components in just a few lines of code! We created an automatic differentiation (AD) and GPU compatible FDTD engine and geometry generator for photonic integrated circuits (PIC) and metasurfaces, as well (in the future) RF microstrip circuits and patch antennas. Experimental release 🥼. Expect bugs 🐛🐞\n",
-                "\n",
-                "[Follow us](https://www.linkedin.com/company/luminescent-ai/about) for updates! Star us [GitHub](https://github.com/paulxshen/Luminescent.jl) if you like our work. We respond to issues within a day  "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 1,
-            "id": "94918b9d-e6b1-4e80-9d0d-502a0fd119ff",
-            "metadata": {},
-            "outputs": [
-                {
-                    "data": {
-                        "text/html": [
-                            "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/n_O1r6wggLU?si=x2tKzw4hzrIz6h7C\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen></iframe>\n"
-                        ],
-                        "text/plain": [
-                            "<IPython.core.display.HTML object>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "%%HTML\n",
-                "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/n_O1r6wggLU?si=x2tKzw4hzrIz6h7C\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen></iframe>"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "6662e768-1847-4cc7-9a85-29be3939aae1",
-            "metadata": {},
-            "source": [
-                "# Features and conventions"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "a01ca52d-e06e-47bf-aaad-f6e8359bd486",
-            "metadata": {},
-            "source": [
-                "We do simulation and generative inverse design in 3D or 2.5D, with multiple wavelengths and modes, and on CPU or GPU. However, GPU acceleration is guaranteed only for simulation and not inverse design because the later requires significant VRAM. \n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "e5603c66",
-            "metadata": {},
-            "source": [
-                "## Technical features of FDTD backend\n",
-                "- Automatic differentiation (AD) compatible for adjoint optimization\n",
-                "- Optional GPU acceleration \n",
-                "- Length scale controlled geometry optimizer \n",
-                "- Nonlinear and anisotropic materials \n",
-                "- Tensor subpixel smoothing for accuracy \n",
-                "- Adaptive graded grid and Float16 support for speed \n",
-                "- PML, periodic, PEC, PMC boundaries \n",
-                "- Modal sources, plane waves, Gaussian beams\n",
-                "- Modal monitors, DFT fields "
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "9e00c5f7-dceb-43a7-9acb-5a86758c3732",
-            "metadata": {},
-            "source": [
-                "## Geometry layout\n",
-                "We layout using Python  gdsfactory which is integrated with KLayout. Can also import .gds into gdsfactory . Internally, gdsfactory component and layer stack let generate a 3D mesh which is clipped vertically some depths above and below `core_layer`. By default,\n",
-                "we apply a SOI 220nm node (Si, SiO, SiN and Ge layers) implemented by [`gdsfactory.generic_tech`](https://gdsfactory.github.io/gdsfactory/notebooks/03_layer_stack.html#layerstack) layer stack.\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "66a94ddf",
-            "metadata": {},
-            "source": [
-                "## Materials\n",
-                "We use Tidy3D's open source `materials_library`. We map gdsfactory layerstack layers to Tidy3D materials via the layer's material property while taking into account common name variants (eg \"si\" or \"Si\" mapping to \"cSi\").\n",
-                "\n",
-                "Dispersive, anisotropic, and nonlinear materials are by default not simulated but can be implemented upon request."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "ba01adc4-f654-4f79-aaba-ea155653fc6c",
-            "metadata": {},
-            "source": [
-                "## Margins and ports\n",
-                "We automatically extend waveguides and adds margins during simulation but port locations remain fixed thus not affecting sparams. Port numbers map to gdsfactory component ports. Specify port pairs as eg `2,1` which is equivalent to `o2@0,o1@0` meaning optical_port_number@mode_number."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "be9a5dc3-2b6b-4af2-bd62-b00492794e14",
-            "metadata": {},
-            "source": [
-                "## Reciprocity and symmetry\n",
-                "Usually only a subset of sparams is needed because of symmetry or reciprocity, specified as `keys` in sparams study or inferred automatically from inverse design study. We do a run for each port excitation. If `keys` is omitted in sparams study, all sparams will be calculated requiring more runs."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "d86e95f2-1c11-497a-9c1e-a35e59e6e5d3",
-            "metadata": {},
-            "source": [
-                "## File workflow\n",
-                "Each simulation or design optimization run is saved to a folder path. Can access saved runs via `load_res`, `finetune` "
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "e4b9152b",
-            "metadata": {},
-            "source": [
-                "# Installation\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "bf4d4ae4",
-            "metadata": {},
-            "source": [
-                "## Frontend\n",
-                "If on Windows, Install Anaconda distribution of Python and use  Anaconda Prompt for pip installs.  \n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "3f34c9ea",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "%%shell\n",
-                "pip install -U luminescent &> /dev/null"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "f6a24645",
-            "metadata": {},
-            "source": [
-                "## Backend\n",
-                "Install latest Julia. If on Windows, use [julialang.org](https://julialang.org). If on Linux, can do:"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "0e32e02d",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "%%shell\n",
-                "URL=\"https://julialang-s3.julialang.org/bin/linux/x64/1.11/julia-1.11.2-linux-x86_64.tar.gz\"\n",
-                "wget -nv $URL -O /tmp/julia.tar.gz # -nv means \"not verbose\"\n",
-                "tar -x -f /tmp/julia.tar.gz -C /usr/local --strip-components 1\n",
-                "rm /tmp/julia.tar.gz"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "3d5f8003",
-            "metadata": {},
-            "source": [
-                "Install FDTD (20min)"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "ea74cebb",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "%%shell\n",
-                "julia -e 'using Pkg; pkg\"add https://github.com/paulxshen/Luminescent.jl\"' &> /dev/null"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "3f6382a9",
-            "metadata": {},
-            "source": []
-        },
-        {
-            "cell_type": "markdown",
-            "id": "7c65c32a-55d8-42f1-99da-4167e330e216",
-            "metadata": {},
-            "source": [
-                "# Tutorials: PIC S-parameters simulation"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "0861be7f-0c9e-4022-ae76-1e176748531f",
-            "metadata": {},
-            "source": [
-                "## waveguide bend"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "c0140f63-e249-49eb-b465-e16c05b6eab9",
-            "metadata": {},
-            "source": [
-                "### 5um inner radius"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "a3ec9120-3bc6-4226-9945-ebb35363d830",
-            "metadata": {},
-            "source": [
-                "#### Single wavelength 3D\n",
-                "We characterize insertion loss (IL) of waveguide bends wrt radius. We set R=5.0um, the often cited minimum radius in silicon photonics. First, we use `gdsfactory` to make the bend (note `gdsfactory` uses inner radius). Next, we simulates and saves results, which are retrieved and visualized by `load_res`. \n",
-                "\n",
-                "`nres` is the maximum resolution - the number of points per wavelength in free space. The grid is adaptive so border regions actually use a lower resolution for speed. Remember FDTD scales as O(n^4)! `nres` has a huge effect on simulation time! Here, `nres=40` is accurate but can take half hour on CPU. `nres=20` is 16x faster and offers a reasonable estimate. Finally, Because of reciprocity we only need S or T param keys of \"2,1\". \n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "1c1f7b89-e584-486b-adc5-a70195d7912f",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "loading solution from c:\\Users\\pxshe\\OneDrive\\Desktop\\beans\\meow\\runs\\bend_R5\n"
-                    ]
-                },
-                {
-                    "data": {
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jH2jJYyTn6lAB7Z6c59m8deLG8G6Jb6glmLsy3kVtsMmzG/POcHpjpQB09FZPifWT4d8MalrCwCc2cDTCItt34HTODiub1/4ijQfAGieKZdPDpqJtjJCJD+6WVN5IOPmx9Bn2oA7kkAEk4A6k1i2fjDw1qGo/2fZ6/ps95nAhjuUZifQAHk/SvHvin438U/2FbWeqaONE0bV5QpkW4El15IILBlHCkgjI+oNcV4h8VeGLzSY7XSvDOm6bbQSIYLu3mH9oRAEYkJAG4kDldxI7kYyAD6xoqtpzF9MtGaf7QxhQmbbt8z5R82O2euKr67rdj4c0S61bUZfLtbZC7nufQD1JOAB6mgCW41bT7TUbTTri8hjvbvd9ngZwHk2jLYHfAqzNNFbwvNPKkUUalnd2CqoHUknoK8D0+HWrn40eD/EOvForvV1uZYrM9LSBYmEafXBJPufXNdR8VLuDVPFnhnwlf3i2ujzmS+1N2k2K0UQJVWbsCVb8celAHf6X4r8Pa3cvbaXren3k6gkxwXCu2PXAPI962K8hOnfDjxZqemR+D9X03Sda0+4WWCSzt/LaQL1Qr8u8H8T17E12974sa0+ImmeFRZhlvbOS5Nx5mCm3PG3HPTrmgDp6K5jxb4sbwxeeH4Fsxcf2tqUVgSZNvlBzjd0OcenFZvin4g3Hh/xjZeHLTRJNSur60M1uscoUtJuICnIwq4UsWJ4A6UAddqOp2GkWhu9SvbeztwcGW4lEa59MnvUGk+INH16N5NI1SzvlT7/2eZXK/UA8fjXgnjPxBqMPxG0yf4heHYXtYbNzY6fFcK9vLKzYDOzHaOcBs9NoOMdYNH1xX+NXh3+ztM0TS5XYxXH9jXSywTRsD8rbPl3DB6dTj0FAH0pVLU9X03RbT7Vql/bWVvnb5lxKEBPoCep9qu15K2nWvjn446rb6xCt3pnh60jSC1lG6MyyAMWZTwerDn+6vpQB6XpWt6XrtsbjSdRtb2FThnt5Q4U+hx0P1qrceLvDVncyW1z4h0mCeNiskUt7GrIR1BBbINeealpdp4E+Mvhq60WCOysdfSW0u7WAbYy6gFWCjgHLL09D6muzvvhx4O1K+nvb3w/ZzXM7mSWRgcsx6k80AaNt4t8N3tzHbWniDSp55DtSKK9jZmPoADk1sV494J8I6BrnjmfxPpOlwWeiaTI1tp/kgj7VMOHmJ7qOi/n2Nd14Y8WN4i1vxHp7WYgGj3n2YOJN3m9ecYGOnTmgDp6K5iHxY0vxKuPCX2MBYtNF/wDafM5J3qu3bj/aznNc4nxH13Vtd1rQvD/hlbu+0y7eF5ZrrZCsYOAzHH3mIICj0JzQB6VRXlWl/FHxFrFzdaDa+ECfE1nKy3MT3IW2iQfxl/cnAUZz1zXQeCfG19r+ratoWt6SNM1nSyhljSXzEdGGQyn8vXqKAO1ooooAKKKKACiiigAooooAKKKKAPMfBH/JZfiF9bT/ANANdl4l8W6T4Tis5dVkkRbucW8WyMtlz646VrpbQRTSTRwRpLLjzHVAGfHTJ70lxaW12FFzbxTBDuUSIG2n1Ge9AHmHxJWPw98QPCfje8geXS7MyWt46IW8jeGCOQOwLk/gO5FZ3xQ8V6L438O23hXw1cx6tquo3MXlLbgsIVByXY4wvHH0Jr2SSKOaJopUWSNxhkYZBHoRVOw0XStKLnTtMs7Mv9428Cx7vrtAoAtxIY4UQuXKqAWPU4715p8GvueMf+xhuf6V6dUUNtBbb/Igji3sXfYgXcx7nHU0AeWa9q9l4X+PlnqWsTC0sL3RDbRXMnEfmCUsQT0HAH/fQ9az/E3irT/E3xW8ER6PKLuzsryRZLyMZiaR1B2K3RiAuTj+8K9fvtOsdUg8jULK3u4c58u4iWRc+uCCKSHTLC2ihigsbaKOA5hRIlURn/ZAHH4UAefwf8nHXX/Ytj/0etGqf8nDaF/2BJf/AEN69F+zQC5NyIY/PK7DLtG7b1xnrj2oNtA1wtwYYzOq7VkKjcB6A9cUAedeKv8AkuXgH/rjff8Aolq9KqJ7aCSeOd4Y2mjzskKgsueuD2qWgArz/wD5uF/7lT/27r0CvP8A/m4X/uVP/bugD0CiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArz/4Wf8AM6/9jXff+yV6BXn/AMLP+Z1/7Gu+/wDZKAPQKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooA8x+B/wDyLniD/sP3P/oMdektcwJcJA00azOMrGWAZh7Dr2NZnhzwxpvha0urbTFkWO6unu5PMfcfMYAHHt8o4qK98I6Vf+LrDxPOkp1KwiMULCTChSGByvf77UAeb6Z4f0qX9onxF/bNvDNK9rHdWEdwoZXyqhmAPBIwR+Z7Va8ZWNjpXxg8DzaJDDb6ncyyJdx26hfMt8DJcD234J9Pau18V+BND8Y/Z5NRjmju7b/UXdrIY5ox6BvT6g1F4Y+HmheFb6XULVbm61GVdj3t9MZZSvoCeB+AoA0/Fn/Im65/2D7j/wBFtWD8If8AklOgf9cW/wDRjV199Zxahp9zZXAJhuImikCnB2sCDg/Q1V0LRLPw5olrpGnq62lspWMO244JJ5P1JoA4T4fOo+KHxGjLAObq2YKepG1+f5VDHewXf7SbxwyK7Wug+TLg52v5m7H5OK6DX/hnoev64da8/UdO1J0CS3GnXJhaVQAAG4PYAfhVnQ/h94e8O6tDqem20kd1HbNbl2lLGQM25mcnlmJ7n6UAc98MQP8AhLPiCccnWm5/76rB+HsemeNvG3xCfVNJjeCS5tQ1rdKH2MglQ/jlTXqOj+G9O0K91S7slkEup3Bubku+4F/b0HNczqvwk8P6nrt3rKXeq2F7dtumexu/K3Hvxjv3oA5DwVp1t4e/aG8RaPosCw6YNPV3hViRGcRNxn/aY8e5r2eO6t5XkSOeJ2iOJFVwSn19Olcz4U+Heg+Db65vdKW5+0XKBJnnmMhbnOee+ataX4L0jSNQ1y+tFnWfWm33ZMmcn5j8vp980AcTFdeIPizc3X9n6lJovg+GZoBNb8XN+V4Yhv4U/wAkHnHbafouleA/ClzFounEQWsLzmJDmSdlXPLHqxxj/wCtXJD4CeCFGBFqAHtdmuh8J/DjQPBd7Pd6QlyJZ4/Kfzpi425z0P0oAbp48NfFLwrp+q3ulwXcDhtkc4DNC2cMMjoflHT2rh/BkkkGm/ErQrO6ludD00SR6fvkMnl5jk3Rqx6gYX/Jrprv4OeGZ724uLSfVdNS4YtNbWF4Y4nJ65XB/IV1mheG9I8NaOuk6VZRwWYyWT728nglieWJ96AOc+Es8I+EuhymVBHHbvvYtwuHbOT2xXH/AA7uY734U+PrqE5inv8AUZEPqrQIR/Oumj+DXheG4k8qbVY9Plk8yTTEvWFq59Co5I/Guj0zwbo+kaPqulWULx2epzTTTxhuhlUKwX+6MAYHagDidFi1eX9nO1h8PhRqUmn7Y8sFwC/zkE9DsLEH1rzjTr7xZH8AZrWDQLI6A8cpe/8AtIEp/fHJKdSQRt+gFfRWk6FZaLoEGiWauLOCIxIGbLbTnv8AjWbD4G0W38EN4QRJv7JKshUyHfhnLn5vqaAOH/Z9uLweALgXUEUVjFcu0M/mDLnnfkdgMD866H4sa5e6b8MNT1HQ7nEh2R/aIWyURnCsVI784z2z7Vs6N4K0jQvCk/huzWf+z51kWQPJlyJBhuan0fwppGieF18OW1uZNMCuhinO/crklgc9RljQBy1n8MvAMvg+ItYW0sElsJW1Nn/etlcmXzM5Hr6e2K4nTP8AhNPGnwTtLKwLX7NqDW80kk4ie4s07F2Pc/Ke+B9a7Q/BTwqSYln1dNPLbjp63zfZzznG3r+td9YWFppdhBY2NulvawIEjijGAoFAHgPxIu/GcfhPSLHUvCunaXp9vqFutt9nuw/zqrBEwDwMZ59q6T4nXmtXPwysbnxFp8GnXi6xAXihmEiqgJw24V6T4k8Mab4qsbez1NZGiguEuUEb7TvXOPw5NWNd0LTvEmjz6VqtuJ7ScAMhJBBByCCOQQaAOd+K19b2Xwv16SaRVEtsYY8n7zPgAD161xHjMA/BHwICMgy6ZkH/AK5V1Vt8HvDUULw3dxquoxeS8MMd9eGRbdWUqTGuAFOCcHnHat/UPBej6l4d0zQrhJjZaa0LW4WTDAxLtTJ78UAeY/tJ2Usnh3RL5QTFBdPE59C6gj/0A1u/F/QdBtPhJqEkOm2EDW6w/ZWjhVShMiD5SB3BP4Zru/E3hrTvFuiS6RqiyNayMrERvtbKnIwa4s/A7wrJEILm61m6t0/1ME18SkP+6ABigDp/Bt4Yfh74en1KaOKRtPt9zSuFyfLGMk98Vy/xJ0XxXrHiLRJdK0q31TR7H/SZLSa5WJJJ8kKWycsFGCB05NdX4h8FaP4n8PW2h6kkzWVuyNGI5NrZRSo5+hNdAoCqFHQDFAHgHiHVvHcnxT8J3F54asYdVijuPsdqt4GSYFDu3Nn5cDJrV8a6VHqfxT8AXPiq1hit7y1MNzAW3RC4UFhGT0I3so969Sv/AAxpuo+JNM164WQ32mq625V8KA4IbI78Gl8S+GNJ8W6S2m6xaieAsHUglWjYdGUjkGgDzv43aVpGneDrW/srW3tNZgvIRp0ltGElL7vurjkjHOPUCrurOyfHzwqZ9qSPpMy4zwW+ckCtfRfhR4d0fVYNTkk1DU7u25t31G5MwhPYqMAcdvStTxZ4G0bxktq2pLPFc2jFre6tZfLliJxnDfgOooA5H4sXsC+J/h/YeYv2h9egmCZ5CB1Gfzb+dWNWAP7Q2gEjposuP++nrTtPhV4btpbW5kN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AaTE3a6Rdv/HGGwQteholiDSYbMlNszRRlfGRRx6hEEtU0uXofEgCJJevNBbIIm677bbC0b0QiNbcaiW0UngT51988UVo1hBCyBxUnS/KTT9JObUcS2gqiVYyTquuuiq5JmpOsj36r4IjVisj061tg//uNn3Mb7z88supeoIp/ARMhsAcSLHM8r/QwkU4LC+U1vfff58ipUk+CCDSSpoxVCiVmaLnn38+uUcEiHIhNA5MMpiFH+qFsYA8Dru5zSx2kNHptdDu1Ymqnx4cLp/hMP+W60gwJnz52XBlhKaeJ9m/KF85lEt1E63wmcwZncLKUkzWgrJLhyoKtpyW9vl0/y4wTopbLRthCBgChoAhYAgYAq0bAQsIW/f1rd7RkXZzNwBQR6mzQuChp1GCWosaojBFk3xLlq0RdAmWZsOilimtwSxKnVyKAFmj2NCCkE3jH27KQwEh6T3NFEV7EQ5ZMmZIUnBSTlm1yEFFFtzbbrvt2GyAoLdglJtkXBcHIsDOCiExxuhyNLSGyURZ9r1wW11aF2G6TKXdDDA5W+ULwbjYJkHiJebWMgXXnecZEs5+ykTfo446im0YSAxecMEFMvOTcqbMI2U2b3Y7RJK6nhMt9hcpqMsQeARAhU9mihJgR8u9xFogwI7lKzNJgHiV+jFcIEqwMt+YhLaqRIkSPp/u34X+sUQtG8cQMAQMAUPAEDAEWh8Cta1vSDaiVowAIRNVHGWAJLig2Rchy3g1CeauPIwqUo/EZRKVxcYt5Aw1iSRZGmIwDcOyhCJMbmSOX3SvPPwktmGlH1HuLbfc4jqTndb0Jip0lK5INJUuoK3pAaEbosSC5uagNBJW4yUTJAlJqbHcjtKjasSN6pWZQriIUWElJSoWIzwmQIYZm+xsSUVQjQbdZGxsdwUvR6wAyUA+KixtZaUf+VWFOpQg1R5L+HySOtacrbv3pto0whAwBAwBQ8AQMARaKwKWIWytV7YVjoudx6nBqANjWVrBmZkqrAvn2NpbmSGCaX4nn3yyy6TiKDkokpYuE5q7dpJ4DzzwADRhEovrtDYjd9WhKaYhXT0lF0RWkGzn7bff/vDDD4fmapKzYvEbSxlJGKpKRsINvQpme9yCnBTbZFOEpF5S5oui4kbazDlkEmzIDnVTlaOXQzkZCdDW2J48pDvrWDf3w5QG5xnN8tFSSTx3x6J8JXgEcPzxx+sps3yZQsyHZOONNyZmc8sFqUw5BLgxNN3anpWfpJeZ0slGFOykEpvBLuHzSXJVJ52mD7+csZiuIWAIGAKGgCFgCFQhAhYQVuFFMZdiEKDoBXkzYjZpo+7/2WefHSOXwKJcirRoOBEVJMVEAQ+XTzmWQw89lA0Jo5kfHJCAEHnCOXI4osi8U+3LNZVEU1CEg00OWTzJ9FfWoblzOMl0lRAQuovQZLmg2zvhK1V5hEMESIChrUSSbsit/CyEm1VjO8GQ24S7GhB27ty5KIjc3qkioyEQiLn5YU3TIa8bbLi6STSx0A033KCtKSGxyLAIU4UJDgkC9VTXECqnfILPgEaDv//976lXRG5czLrTdEMdFfv5dP8uSr46IR/s1BAwBAwBQ8AQMARaBAI2ZbRFXKa27iT32ZTioACmAEFOhp0DiwJF82As/YpVpG7HaaedJk3kncj5CP3ee+9RVTKqQhigUQfrIXVZY5b5olhjoz+CMQ46YvUat/jQdET8pgEPYqG0YdSNWI4b4+Gbe69PX+x5QKcc7D1IoMvcVCI0sUOIJcvw1KwULyHc5UgJP5Cn9olqXXXVVaFMLHshaDBP19EAW3XTCd0EErH777/fFWb2pp5Gk7raFCL4PBDDK84keNnkMCQTOtUYG2ESxdrKGj+N3JRZPqHdYYpPnUaDTOzUhazRXor9fLp/F/rHEjVrHEPAEDAEDAFDwBBofQhYQNj6rmlrGxGhBXe3bGonA2M6HNEFOyuwVbp76MKq2PEzv074BHg6NU4liVWOOOIIrW7KNFEm42nQcuGFF0bnAbKGkKBOLFCmX4JVitz84he/ULMpBDEn0RcH25SfccYZWuKS7c7d9XVu/JNiLdTEJniaoGNQBC1Sd5SbfsqN6K0/qKJIgEFdFrFA+MeO6uRF5ZQIEJktg4NpiopPqDs5ZeBaS4b4iviQ4kAMhzmrLPC78sorRYzuzjnnnFgLWZgU7GGNn0iSqSNLTC9cHeYPu7lNkq6x1rhSXE058Ipk4IorrujuFM+lL1gQSONnPkiEvlwvCAJmd3+L2N5LY2p3qPOxlLCcNDL1Y5lXnGSz2M8nSV0xxSdzjTXWSDJrfEPAEDAEDAFDwBBohQhwK2yHIdAECITyS+wDEdupezPKZDlkKNqR5Q/vjjvuiDUoTOJANQIdknTrkRBwMqMSATdTxO6Fuq2c6lIVRm0KQREabU0nmGWqqR50KenBCj2OUGVRZqWKndj9BmlK4rM6UQNa8Q3Lbo9MC6ScjBgnhdi7d28dC03kYEO1W9nIUYRT3oms3C4wuOiii6pZIQi8Qxa0lknGjel/97vfhWyGTslAEqFpL9njNFYP8vRBFZOI0BpRAlQeBIR84JRcq1hw9yGkKkzUrBu+8mkPCbgZY+nFDRG1XwqQhhSL+nxSvFdMgV7Ijp0aAoaAIWAIGAKGQOtGwDKEekNlRGtGgOSVrozS6Z0yYOKiU089VQdPvk72KOc+njhN+NT6//Of/6wyQpAEc/evh5lxviiSu+66K3kqNUgcItlONwtH5MO2dSpTFEFRyuuvv179RxfLfJeJEWq6MJVUU2HEwITTugsIOT1KWboBPHlFd5Vdkiek7+jULRijs3xFhSJAl112WZJ6Rv5FF10k+3zEyq+00krMHdUsYqxMLJOojCxfbKwVkh8+fLgb6JIFlQTvDjvs4G7f98EHH4QUSzslFGdQrq7skMGGIvvtt5/yo90V9fl86aWXxBSpYLVphCFgCBgChoAhYAi0BQQsIGwLV9nG6E+MpMyGAEFVTxcR9uXT6abESGyqLq0ESKeccopKEgZQjkVPIbDpRoAEQgXrkbjqbEH+yiuv7LPPPrqDhbRillt5Csy4xUtcxYz0YYcdRrqJtZcS34oWTpKjY8IhXbh2WEfHxEsCPzfZhSdMF2WpHiFW0g4HrhFowCQ5yWRaN2SCz9xX6q/ceeeduvAypJj9FMus1sMlZntq4IerVLUBMeKi5ZdfPos1MpNsvkdWlrpBjz76KNFglu0HsUywTTrOjf369etHtZtHHnnEzfVpzi2LMykyxKiPPfYYyWeVIdnL1FYeUrgBIZ9Psu4qA5H988lWip988gkq4Kl/Jq4pow0BQ8AQMAQMAUOgFSNQo0mDVjxIG5ohAAIsO6T8JvkcaNJxhBPlw0IBUi10edBBB7l1TbIb52+QpBxFOMmnEVqwgXvG6Ct7FyzqY/jMAg2lNKMW8IEFhxRHobII4XEorovKJ3GYMEnYSeET4hnsNFKdElJzXEp84GqW7GrSEAryWXJJLSLyq0SVGpoW1CpZgBWDQEocS8Iw42Azfj5/+9vfshgSx0hcM5m5ZA9N0RAwBAwBQ8AQMARaIgIWELbEq2Y+l4gAhU8efPBBlE8//fTY2qHF2n388ce1ziRpnB133LFYCyZvCDQeAlk+n2zXwWMC2a+SZYfkhBvPH7NsCBgChoAhYAgYAlWIgAWEVXhRzKXGQoAik5QbJUnILEqWDoYquBTbK4VPWTYm5WpYoEi+KFTHpViDJm8IVBCBjJ9PSjdJmVn2Iwktr62gM2bKEDAEDAFDwBAwBKoWAVtDWLWXxhyrPAJrr7223PsyldGtLFpsT2ycQGBJVQ8tXsrKQ4sGi4XR5BsJgeyfT8qxXnLJJbjBTNRrrrmmkfwxs4aAIWAIGAKGgCFQzQhYQFjNV8d8qzwC1KiU2iF/+ctfdPe/Yrv54YcfKOkhxR7RpYqJlqIp1pTJGwIVRyD755MyP6NHj8YBqtSUtullxZ03g4aAIWAIGAKGgCHQxAi0b+L+rDtDoHkRYLLozTffTMVL3KCyIjnDcvxhF2/WELK5XPfu3cuxY7qGQGMgUPDzSWFS9mmkIs7555/fGA6YTUPAEDAEDAFDwBCofgRsDWH1XyPzsOoQILVIEQ5qgRJecs9ddf6ZQ20bAft8tu3rb6M3BAwBQ8AQMASKQ8ACwuLwMmlDwBAwBAwBQ8AQMAQMAUPAEDAEWg0Ctoaw1VxKG4ghYAgYAoaAIWAIGAKGgCFgCBgCxSFgAWFxeJm0IWAIGAKGgCFgCBgChoAhYAgYAq0GAQsIW82ltIEYAoaAIWAIGAKGgCFgCBgChoAhUBwCFhAWh5dJGwKGgCFgCBgChoAhYAgYAoaAIdBqELCAsNVcShuIIWAIGAKGgCFgCBgChoAhYAgYAsUhYPsQFodX9UvX1NRUv5PmoSFgCBgCJSBQV1dXgpapGAKGgCFgCBgChkAKApYhTAHHmgwBQ8AQMAQMAUPAEDAEDAFDwBBozQhYhrB1Xl17jt46r6uNqhUjQO5LXoxRidB4yf/LC77MBWgzMwJs7kPos2CnhoAhYAgYAoZApRCwDGGlkDQ7hoAhYAgYAoaAIWAIGAKGgCFgCLQwBCxD2MIumLlrCBgCrQcBd0Uc9MKFfm6QQwi3VfOBELXBgzzeoaMyrQcdG4khYAgYAoaAIWAINAUCFhA2BcrWhyFgCBgCPgJu/BZChCZehIIiJqdCa+An0aAY4Z1T9xC+yxE6JBYVMI4hYAgYAoaAIWAItGEELCBswxffhm4IGAKNikBShJbSqQRvrqJw3HdVj8aE2uQSrjXhW4jo4mO0IWAIGAKGgCHQthGwNYRt+/rb6A0BQ8AQMAQMAUPAEDAEDAFDoA0jYBnCNnzxbeiGgCFQcQSi6biMXZC1Y1mgqEMn2aGp/Pye9pLRNxMzBAwBQ8AQMAQMgdaLgAWErffa2sgMAUOgKRFICuEy+iCRXnqwJ11oR+nCBfu1sLAgRCZgCBgChoAhYAi0AQQsIGwDF9mGaAgYAo2KgEZo5fRSU0NBmYULfBOhIqMSKsJnL76gtqhfS8YvNVqRfjFSZmDpu2yHIWAIGAKGgCFgCLRUBGwNYUu9cua3IWAIGAKGgCFgCBgChoAhYAgYAmUiYBnCMgE0dUPAEGjDCJSfo8tl57C0YIE3f74PJoQkCaElgSdS7dp58oLvpw192UocliSsBIpmwxAwBAwBQ8AQaKEIWEDYQi+cuW0IGALNjUDlokFGQgSoASFhocSE8CVY8yeIen402KGDT3DAadfOCQnLd0bs2rshYAgYAoaAIWAItDEELCBsYxfchmsIGAIVQaDMACyXGFRfsOevIQz2pZfIUGgJCAkF5SAOlOAw3D8Gwyy1nYEQ3YhXGTRNxBAwBAwBQ8AQMARaNgK2hrBlXz/z3hAwBAwBQ8AQMAQMAUPAEDAEDIGSEbAMYcnQmaIhYAi0SQTKScSlAqb5OQh5ibjLdw3giDb5fDlpNPfcro02BAwBQ8AQMAQMgVaDgAWEreZS2kAMAUOg8RFotHCLaI65oO1zX8mcypRRGZJMEw0VlYkfrYWF8bgY1xAwBAwBQ8AQMATiEcjdfcS3GtcQMAQMAUMgh0AFo0ExJcFbYF6iQQn8CAtpd3sTQd4REBlHNeee+39ss2vRFTbaEDAEDAFDwBAwBNowAraGsA1ffBu6IWAIGAKGgCFgCBgChoAhYAi0bQQsQ9i2r7+N3hAwBBobgWiyTjN1QgQCFAlt5y3kFbizMNhksK7eNQTEiBA1wYM8SRQW5bwYKUrFhA0BQ8AQMAQMAUOgtSNgAWFrv8I2PkPAECgfAQ3hMppKD71odQ0KzV4Tc+Z48+b5PfDOqfB5R17CP9mIsGNHX4Z33YzCP7fDEDAEDAFDwBAwBAyBUhCwgLAU1EzHEDAEDIF4BNJDQdURMTcslIBw1ixfRCJD9qfnkIBQqs0QBC6ySH21GaJBosSM3fmG7DAEDAFDwBAwBAwBQyAGAVtDGAOKsQwBQ8AQMAQMAUPAEDAEDAFDwBBoCwhYhrAtXGUboyFgCDQyAuVk6iRPyC4Tc+d6kiGcMcObPduTDCF8mSnKCDp18hOGki10d6UIBuemG6OjLcfBqDXjGAKGgCFgCBgChkCrQaAaA8IFCxbMmTOnc+fOZaI8derULl26tNeNvco0Z+qGgCHQNhFIj7TAJDnYSlKt1+A/lSDAY9aorCEkMtT1hAgQEIoYBFGihIKqGFyU/LOY6yQCyZ7GqBjLEDAEDAFDwBAwBNoCAlUUEE6fPv2Pf/zjY4899tlnn82dO3fZZZdda621zjnnnLXXXruoK/H2229j54knnpg5c2Ztbe1qq6121FFHHXPMMTXOrdAXX3xxxhlnZDF72223deKpvB2GgCFgCEQRcL5V3MaM4RkqDd9LmGJNICEfB4+xOnSoN0j4B1+KysiiQemU95oatyOXrteNxKoWFioyRhgChoAhYAgYAoaAIMD9RK6yebNCQhS3yy67TJgwIeQFEd1ZZ5113nnnhfhJp3fcccevf/3refKU3RHC+AMPPKDZwtdff32jjTZy2hNJwtSuXbsmNldfg9xfVsllrT54zCNDoHgEUr4kSw0I1QnfgNhnsujUqd706X6TTBmV7zEJCCU+XHRRr0sXr3t3X6ZHD2aQuq65tC8QHLEOxjJzGlX6v32zVemFMbcMAUPAEDAEWj4CVREQEnSRDBw9ejQzPE877bQdd9yxe/fu77///gUXXPDhhx8C8kMPPbTbbrsVRPvjjz9ed911Z8+evdRSS5EA3HLLLT///PMbb7yRbCG6p59++sUXXyxGPvnkE9KGKQZxhuh06aWX/uqrrzroo/oUhappstumqrkU5kh1ISDxUimxUGykxeASbIXEQ6chULBRb4Zpoj//7IeCHASHTBnVKqMkBmXqOyVGmUtPTMjRpUtd+w7pxn2x3BFyNnSak6re/+2brXqvjXlmCBgChoAh0MIRqIqA8Nprrz3uuONAMhT4ESiuscYahGTMGiWFWBDqvffe+95771100UVffPFFIkORZ/bpNtts89JLL8HHVN++fQvaIRRkounkyZOfe+65zTffvKB8VQnYbVNVXQ5zpnoQkNip6EAoJeSKs+WKuzQ4hE4VGTFTW1PnLyAkLOSA0LWCNPNyp5JKcNihA7nDJJtiPORg+qn6U52EfbNV53UxrwwBQ8AQMARaAQJVse3Em2++CZQsGgylAbt163bQQQfRRJ6QvF863FOmTHnwwQeR+e1vf6vRIKcdO3a8+uqrIWbNmnXXXXdBFDwOPfTQiRMnnn322ZWKBmfMmPHyyy8/8sgj77zzTmgy5wcffPDoo4+++uqrxJ8FHTMBQ8AQMAQMAUPAEDAEDAFDwBAwBCqIQFUEhN999x1D6tWrV3RgSyyxBEzWBP7444/RVpfz9NNPzw9mWJEndPnQpBmXW245CJk7GmoNnRI9IkYoyNpFbfroo496Bwc5RmUqsdlmm9H4l7/8RTmkKOGsv/76CxcupMINU1iR2XXXXddZZ50hQ4a89dZbSJJ+HDx4ML6xvnGTTTYhdcl0WeTViBGGgCFQQQQk01Yxg6F0W5AA1HwdRIiWU+HrO3/u+pozt2bGvI7TFnblNaVmsUnt+vzUvq//arfET7V9JnmL85q8oPu0eYvOmNuBF6lE1VWD0ouOMXSqfCFEK8S0U0PAEDAEDAFDwBBoawhURZXRFVdckXCOdX1EfX369HGvwYgRIzglVUhM5fKjNGsOYVIRlBAr2rr99tuzmJB0XLTJ5YwcOfLUU09lcinFRdvJHK2gmVDzp59+gmRLDFdeaJJ7tFLUVJuYpwqnZ8+eJ5xwAhNiF198cSJM1iUS+o4aNWqHHXa48MILaSL8Y24qPr/33nsEvZdeeilp0uOPP17tGGEIGALVhUAkDhT30kOvkIwKuyEZawanTfNXEXKwkFCXEHKqSwg7dvQoKyNVroKaMmLYDz413BW6viH/v5SmfEHnDB05EgbuiBppCBgChoAhYAgYAi0SgarIEBICUU6GIGq//fYbP368AEno9de//pU1gZyefPLJWiA0CWZ2kqCJgMoN5FR40KBB0OPGjXPDNm1V4pRTTmFu6u9+9zvsKLNkgnQi0eC5555LoPvCCy98/fXXJ554ItaIFdkGY4UVViBA5fjf//7HVFKCRpqIWkvuzhQNAUOg8gi4gZBLJ/ekMRQiLi2nwuFdX5LoY1I808bHjfNfY8Z4o0Z5n33mvz75xPv4Y+/TT/3X6NEe0ykmTfJf1J1BUYyIL0pDZD+yCmeVy96zSRoChoAhYAgYAoZAVSBQLRnC//73v/vuuy+zKIncSPFRZZRZmsRvFBI46aSTiKkKojWJWyTPkymmUWHhs34PsaQt7+mdXRBJUTJ1M2qhBA4JwP3333/48OGiS6R6ySWX3HLLLT///DOVS++7776VV15ZmlZddVUShuyuQVlUnJTyCUk9YiSpyfiGgCFgCBgChoAhYAgYAoaAIWAIZEegKgJC3GVG5ZFHHslyO0q/sEmgDoD6on/4wx/SAyQRpnALRNIm8swCdcXUvhKEYXTE6TnnnEM4qvwyiWOPPda1gHtEvMxu3WqrrTQaFAFiQgjyk6RG09Oh7J/h2jTaEKhOBKIppWwJtuTRhCyWay65o1BLoY5CfoW05TRWBiYvEn0cZPyYlk56kOOHH/wtCWUSOiujmTLKZhMcTCPglL0nOFhzjSJNcrg+unR9c0X+kzE0lvWKuGhGDAFDwBAwBAwBQ6BoBKoiIGR7CfYefOWVV3B/u+22W2+99QjJPvvsM+aLstvE0KFDH3744S222CJ9cFK9Myl0lFYsSOGZqKnbb7+deZvLL7/80UcfHW0tmROK+rAjIWsSP0tH6QlMyx9mwdBkGhuBpPhH+61AWNGi4hPGi78yahccaDlleTJ1YggLOVhJyPRR2ZIQvu6ESlioawvd5cxi1n0XnIWjmFeG0GFUxpxZMQQMAUPAEDAEDIFmRqAqAsIDDzyQaJBIiYmj7BmokLCP/F577cWGDdThpORM+ro+ViGimLQ7xRxuo4JDxLQLJSjoAn3EEUdUdht6Nr3QLlwiie/KJNF/+tOfkprgW0CYAo41VQ8CEgU1SsTShIOUUaR0yABVJjpYye+JAJsLyrbzWKNsDN9Y0krgx7eI7EUPQa0rscM7L5HhXY0rkeJVqAkHitMqWiHUoZ0aAoaAIWAIGAKGQBUhkJtv1HwuUVWFOJD+hw8f7kaDcFj4d8cddyyyyCIsurviiivSfaSkJwKykjAqyb6CwhSxkADhKG6wxu+QQw4JNdmpIWAIGAKGgCFgCBgChoAhYAgYAq0VgebPEMqmfOC70047RVFeZpllVl99dXaupxRntNXlsKcfp998801sUZaxY8fSyt6AsQHhddddRytbUyy99NKuzYw08WpGSRMzBAwBFwFJjhWXnnL1q4+WEbl+RUcHR8Tcd+aFkgYMig37eT+ShNQd5SBDSFawUyefhsnSweDZl8+BL5vjYDDai69Q/iF2o6Mq37JZMAQMAUPAEDAEDIHqQKD5A0Ldin2xxRaLxUT4SWv/VIUN/aCJzSjUycaGyheCtYgQUrgl1MSeELK5xeGHHx5qynLKbhkSbWYRNhlDoAUgEHv3X2TAgXismbKG3yhGS/co4wBd5FyajrFA7MeLg2CP51HEexzz5vlxoBSb4RQBWUZIEEh5LAkOmT7KLFNg9hUwFPzv09JHrqeMTopYTsk3Y4chYAgYAoaAIWAItBEEmj8gXGuttQRrYjbygSHcCRfZtB0m5UZDTaHTbbfdtra2FvlHHnkkFBAS8kmCMTYJedddd7HCkImpsa2hXqLJQDYY1Jg2JGynhkDLQyApgFB+IwQN2C7dajOFMoqHXmKX4w6ngUZiYS5uC6RrCN/8eI83r1v7Od1qpnoLgukGc2f7+UGKzHBIXChR4yKLfDx+/B1PP/35l19++d13Sy655KqrrLLj9ttvsfnmPoLSkxKBZ1pny3UvaCnmDZshfTmVHouxZLKGgCFgCBgChoAhUG0INP8aQjJ7Mo3zzDPPjJaEoa7MD5Rg97xNN91UsaMq6cjg+P7775XJ/oE77LADp1dddZVsQaFNl1122bx586jjwsb3ylSCvQehKW2atGUFrZq9fPHFF1URgi0i2KbC5RhtCBgChkBjIDB33rzTrrpqzT32uOiqq+555JG333330ccfv+Syy4Ztu+3+Bx0k35ON0a/ZNAQMAUPAEDAEDIHWjUDzZwiJ0/7+978Tqn388cfrrrvuhRdeuMEGG1ALlIjvmmuuue2227gA7EXBDu96JZ588sm9996bU7aIQFf5559//lNPPcUywj333JNim2uuuSYR47/+9S8CQmTYEjBap5RtD0eMGEHrZpttpnaiRP/+/Vl/SGUawj/o3XbbjefubIxxzDHHsGsiic1vv/02qmUcQ6AVIpA5NSTZo1BiKQkQxDJlm5KMajeZrCR5kYmvXbnSLtN1oYFGQl6okfQTBSGEpvDVF1+wDNo3O368x+m0aT5NnpCVgt26XfbWW5e+9hqMAUstdfD22w9ea62vf/rpvocffue99+68++7x48c/9+STzJLwJ5jSq3TsvENKP77NhAMB0Yhpz6Ifo2YsQ8AQMAQMAUPAEKh2BJo/IAShfffdlyKfhHDEhL/4xS9CmBElEtTpxKdQq3u6zjrrkB487rjjCAs5SOtNZjOv4Nhyyy1j92MgGiQmRGRz5lylHn/5y18OPvjgqVOn7rHHHp07d2aKqRg/66yzuBW7+eabU7WtsS0hIPfdiXfWrQIKjS0KDTN7HFEEbG6n6ongyqnbWmmwQ71pn7H91DsiOry7caBMBGWloC4W5Mtq1CjvnXd8Ux995I0eXRfMgJjPnFLP+65Ll4uCjeo369370aOP7sYOFeuu6w0Zctrxx//+nHP++ve/v/DSS1ddc81Jxx/vq0tM6FNFH2n4yXhiISi6H1MwBAwBQ8AQMAQMgWpBgDuNqjguuuiid999l8wbq2LEIYIu1g3edNNNb7zxhjKlidmh7FPPMWTIkJD3pOyefvpp5pcSQErARlYQ48SHsVv/UQ8GO8OGDdt4441DpkKnBx100P33309ZGizPnDkT46usssqdd955wQUXsGQRI2QOVYVY1Pdviy3YykKZQjAo+AMHDgzxe/XqFWhskSX0DenaafMjwF2yvsQbOW0Sz7TnEFFK58VGU9plcmdFmcRecQfWi+qgOOt50iHfMgxdyr04nw3iQHlJKMj7/Pl+DnDu3Bljx8774APvued4/fzqq199//0Hnsfrfc/70POumDFjZl0daw2vXLiw2+efex9+6P34I5sVtqur+/PZZ68UfBM+xP496pMQee5X6EQAb0LYK+S3mTEEDAFDwBAwBAyBeARq2KQhvqX5uFOmTGGVIPMwywmNWEZI4q579+5sZljZoZBR/O677wj5COEqa7ki1gS0KrysFRld9RpJ+jtqklilwp0nmUtHP3WkRZlMtZTghNtBKfoJZvPZbie0hE5VVvv3CYREjncJBZGDIBTkWLDg448+Oufii5996aWpwQTRpdu337VLlzOmTqV5WmBxnucxkeN3njfC85b3vK/4QttmG79ln338JGFQfvT4//u/v918c/du3aaMH1/DQyiZOIqMO3002WHfmnOo/w6v+Un7Zmv+a2AeGAKGgCFgCLRSBKpiymgIW2rMSJmZEL+oU1YhrrDCCkWpZBRedNFFG8lyRgdMrOoQSIoMcDS2qanuuEOdN1W3MddHug75EyMXsBAr2tWCChn7TrAT1Y5ykoYTw0c50L/+5pt/d+aZs2TDwUDuu/nz/z516kOed5HnDQ04VBrla3pCQPszIojxZN8JNp0gqgzmIHRmMwo2qyDZGHKL00IjiraLjSg/cMHeDAFDwBAwBAwBQ6C1IVCNAWFrw9jG0+oR4N45dCOePuSQcFPdemu3BTqUZpVOH4u2Il/Aroo2IVHCKMS75LEUazJptI899dRvTjmF1mX79Rt+8skbLrbYDNY0v/DC8G+/Hb9w4XGe97znMb1hTrCG8L+kFT2vL9K6Mz3LCHOZwGeC6sdDhwypyU8JulfEdTtKJw83yX3jGwKGgCFgCBgChkArQcACwlZyIW0YzYxAaUGUOK235011Vy4dFuiNZnUsI7gqn2Ba2CqV0WqzixXrMPINADRQwZbxchrsmHrG8OEMbcigQS8+9FDfPn28MWPYe3C9zp23njhx0wcemLVw4b/at7+WGaHMLyX269bNx6FvX4+JDzINnqwg/Pbtr7nxxndZfEjV5SOOaJgjSmTIQXeuAwkZawRljK5s3ih8W3YYAoaAIWAIGAKGQOtEILhpaJ1Ds1EZAoaAIVClCDz5zDMfUErU88459VQ/GnSOtXv3PpTAz/Numj9/cmowOn/+/OGXXPLbM85AeP111z304IMdM0YaAoaAIWAIGAKGgCGQCQHLEGaCyYQMgUwISIYl9SY+zU5I0c3XpKmV2Ka9Vb4fMZ1gV9nqQHQAqQai4k3HifUZpg5KXHHFGopjSdYOiZqaj0eO5H+WOu9LbRjhEwSutx47ScA/YsiQa085hXIyX5x++vorrugvFOzY0bfcpYvXtavXvTvk4++9d8rhh3/62WfQa6y++mMPP9yxc2dfBlfkJXQu+8eZ65UvaYchYAgYAoaAIWAIGAJBtQKDwRAwBFo2Atz/N8q9fmPZrUc7i3mNtZSonkvlYu7SjEsO8Vma6sNCif3q6kYzQZSqof37tyfGC44FXbpP6txfdk6d0m59z/OXF94/a8XJi+3H5FCpI8MEUuiffvr8zDNPeOGFpxBgY5tTTj75/PPOW0QkxFbOA+na9U3ak97FYW0NnSrfCEPAEAgh8MUXXzz77LPCpAg5uyuHBDidO3fuLbfcovwDDjiAQuh6WiniiSeeGBN8vfzqV7/qyvOj6j4oKf+f//xHfOzbt6/uRM0ojpddVT0PoM4///zqHkeid3wwPvroo4kTJ1KPkK3F2AgtUdRp4KPy1VdfUXJ/0KBBvXv3dloayBdeeOHTTz9tOM9R7du379GjBwX22cSbZ445dtv6//XXX3/vvfcY8y677MKeBW1r8KWO1jKEpSJneoZAEgK52/FyozS9kVeDST0GaSEVT5aKb1HFmH6EpRLxBhK4ohVjtEFeG2N7EKY2KaFaDYaqiXL9hFYI/Zgw5/rX33yDy8ssu+zCdh1Eftw4j5WAQeLQ+/LL7u3bd58/f9rdd4+hXgzZwcUW80e47LJ133xz6aOPnjN/PsVHvZ133vXCCy9eeeVVCDMXLFTbpAJ94dhD+sp5EStiTEPAECgaATZMZhtkUWNr4tiAkB2MVQbJbbbZpuIBIeHH7rvvTjixwQYb/OY3vyl6GE2u8NNPPykm+KwB4c8//zx69Ghx54cffmhyvyrQIbt/HXnkkTwC0G3Abr31VqL0dNMvvfTSH/7wh7feemuBbE3k8eW/2NFHH3366acT5rm6WLv55ptdTogmMtx2223ZK3udddYJNbX6Ux6VyufqsceYPfNwqx9vRQZoawgrAqMZMQQMAUOgCARkF9PJkhCM6C1cOH/Bghmw27Vz7wDqnnzyVw89dDrR4MCBq99//4v33vsw0WBE2xiGgCHQRhE48cQTiQYZ/JlnntlGIaiaYd9xxx0EbBoNZvHr7LPP3nzzzXm4oNEgWvxM/OlPfxoyZMjXX3+dxYjKsMj88ccf32ijje68805lthFivfXWIxhmsP/973+JCdvIqMscpmUIywTQ1A2BZARIxGi2KFkqU0vLzezgeYaElIqIeDps2UxmwtUXks7UA9Fz+nAvo0sX7EBsiHntR7QGDhwEwQ/8vHn1e9T/+KOfIRwxwm9/+eWxdXULIEaN6jBq1BtByq9nsDfh7TCHDfu/rbYavuKKHbjxC7YhrN9+QqajyjjkHeHYwxlcbLsxDQFDoOUh8OCDDzLTEr9XX311Zsq1vAG0Lo91CjHDGjp06HbbbZe+hfWrr776xz/+UTEgx9WxY8dZs2YJhzTpfvvtR/6QvJ/KZCHmzZt30EEHEU+uvfbaWeRbjcz//d//Pf300wznt7/97dZbb70IRbntSEXAMoSp8FijIVAmAtyYy6tMOxnUy+9HQ5dwb+nhRVi6rPOMXeGqvMrqLHHAZVl1lUM9iM9sJDFggB8Qfv/99++88x77yfOaMoWZot7bb/uvmTP/nTMyxfPe8zwWivCM8zaYiyzy5wEDLvrqqw7Tp3sEk6LL3CJs6kt6kfecHfvfEDAEWjMCZKK4A5YRnnrqqQ21rFrmoJn4SmZMjiuuuKIlDuLbb79Vt//2t79deeWVG264oXKiBEndhXyJB8dVV101IzjIbnWWamGex7q4t/l5iDsOPvjg8bmDqbb33XffoYceqoKkCjktKlepui2XGDZsGJOQ8X/UqFHpc2tb7hgr63lxTxoq27dZMwTaFgIS64RChCwQuCrQGWOmLJYjMonm6dR1I6KYxkg0mqikQyzYpwgotKpYb1rPCxpK9MVvUPupUn5jdKxuz0LzvsMOO7MgZOrUqX/60wW33nqfmKUXysbU1c32vBsDzgqet7TncdrJ8x4NOKt0736KPCDGiESA8MkNcirGdcRiE2aII/zQexaZkIqdGgKGQEUQ4E7enSIYtdmhQwcKrkT5LufJJ5+UEiN8sey1117SRMkWvmSEjjVCsZPZs/mG8Q+Kl5B9mjBhgpwmvVOopmfPnkmtLp/cFOVtiE8ISAYMGLD88stnr3GCLssIxVptbS0VWVzLQiPwzjvv/Pjjj4svvjgpuKWWWioqo5w5c+YQTQE1mSKcWWWVVbSpKIIw7d133+VZHhm8JZdccq211kpKPbnXFA8L9vJBsJ0sYsOGDTvhhBNEfscdd2QhIsGknDIECXJC1sAHZ5Q5cODAPffcc/3119f1mRgne4w1lUknWNvJBJZvvvmG0VGUhWvXTfbCddSAFPCFQdQqYwQZFkCuuuqq/fv3nxYcIsBKSLn6n3/+OVV28MS9plzusWPH0uOkSZMYCD0ut9xy7kONYj/JnYIqa4cddhjzb3GAABsoXIPOOIzMIcAzAztaEwJyYVvTiFrJWBYurB8IRMkvTKidBFxKtq2KCYaDrlWoWCLRaIGGjP2IFYQTj1hDCxb4ePIuREgmYkvaRZz3+fNjXvPmxTBVklZec+fWzZlTd/75F8lf64EHHjJu3PRnn6UCQV2fPmM6dFg/9/V8jucxR5SyhP8hNRgwN+7a9eqNN/Zfp5xy9cUXX33JJf7rssuuvvzyq6+//pZZs3zL2JeO5F17dwkdhRChoetpBINmY9g3W7NBbx1nQIAKH7k/W4+iMrEa5LtUBoICMCImK4rdphCdZNDtZfvttxeto446Svnu6ilu2Zl/qE1CLL00j5z8g6CLjNaHH34opynvFDgJGYmeMtKzzjorFELQBZMeCQZceWppal+EOtr0j3/8Q/mnnXaa8oXA/iGHHEKIqzIQREH3339/SJJTgg2cCcWixBvXX389MVtUPolD8EwijmmcbqdENQRvhCuu1h577EEdF3f4K6+8Mhx6dMVcmkhVzZLgdZvILmrT8OHDtenwww9XftJF2XTTTVWGxwSqm0Iwc1U/S6rLqAH8s88+cxWff/55FcA46U2SnIIPfw5InnvuuSpw9dVX82yCxK9wCP/EFNAxUTZaSZUI/4YbbsCmiBX7SRYtyrRKZEinjzzyiDDtPQkBHirb0aoQkD+2VjWk5hiM3BDTc+7rqIEo1x2xKB0U++46lOpHsYZd+VTD5YWFdFPk4TqWhU40H6vM3QB83oWIlXEsSruI8+7GVxlpNyCcPHnGFltsKX+wPGweNGj1nj0HymnwfqTnvRC8Hva8hnsjRyBMLrFE32hAGOuYDkGJ6NCdcVcFKaOtClfMCUMggkDzBoRkcjT7wTIz9Y5YiO0H9JuCAhvaBPH+++9rE1kpOBUJCLnFX2mlldRyiCAJ+dxzz6kbJQSEDFDj2JBxTkOhEciQKIuKCYcAleylOpNCEE64SIYMEl66sLNXREhATs8999ykLog2r8sdZCBdsd/97ndqzY14swSEFLZRXfx3zcbSZBGJ21UlRJC7++6771Tx+fyAUGcsoxUNCElyutGpBIR8PimiE+rFPaXKjnRX7CdZndR6v0TpyjQiFoHEC+9eEqMNgbaGADPoeDXKIXalA5fO0plMCswiWYaMTj6MtyGex7dVnisIZbcrzsfgVKwh7TLGVn1bCSYFPN75ze3atfMTTzwzfPiFPFLlQfXo0R9MmfIlphdddIm11np4xRVv6Np1c15spOR5A9SddAKz0oWIZfQwo1h619ZqCBgCggBBCPe+0SP7hL1ikXzmmWe4w0OLNKC7UI3oS2+IaSUgdC1TglJPCY2ULpOg0qm7Px7pzY033pgZg2KWAGzvvffWqYbF9sU0RdJ0hCWqyNREd7YkWbi77rpLW9nM8H//+5+cEhGRodpiiy14ACccym+6O0OqVohgGuSBBx7o7n7Rr1+/Pn36qBhXnM0S2VZEOKuttlpshhAtVQkRZInZJkSONddcU1sJnhmRnFIVZtddd9WmLIT7YcB/2aAySZG8K8PUdYzkVElsUghHnzUwnZgtMWLVWaf35z//ObZJmISIL7/8ckiA3OCLbKyUO9ikEejcCckXXnghaUnaS/4kU05GzBO+upN4c33a/w4CsWGiMVsuAnJtW67/1eY5mRM5lGgsD6UD3rO/MriS3VhUMs28SCMRVSvISbOb2FbQakigCEOSJgvpu6c5Wy5Pc2sQsVm4KNNVEVpkJk2aRmXsa6+96cor//Wvf7303nvzXnyxjkf5//mP//rHP+r++c86JuDwuv32uocfrnvzTf81dWod+cDZs/1XaJpoqOtov8Jxh6N0bqxV9799s1XdJTGHHATcDKFzh5VG6pRR1sKRVXMPd8IkJi699FKnqxiS+3jpiXxLqJlKJOoEAYnOwUNsiy22kCbutslQweGO2XVDaBZiqQWeXrmpsFBfcqqREkHOl19+KUxmqxIyqR0iMeEXmyFkAwY1QriCutj5+9//rvzBgwcLk63blbnJJpswgVD4rCvTGaQsV4vOpBUxfXc3DyT7x8JFaSKYcRcukiJTFQgNRfAhlPRzxWJpcNtqq63cqqRcWeIxVzhLhpD4WRGAeO2111wLIZpSNCpM5MzHUgRwXtdJMnzVet7JEIoimWFmlvJEgHmniJ3rTBkVAUbBWj4O1goiQPgnfGb/UpRVLLNvigu4JBtpKuqTLKZ4d5PeXHflGxFFwIrK6OffCEPAEDAEmgEBlprssMOO7CFB9YeffmoGB6xLQ8AQaEYENDgRH8hoHXvsseoP8VhSWkZlXnnlFaGj0yNZmEdcQQIHgXHjxlGVZN1114Wm3gd37aLFjgiyjpHpgtSMEaa8s/TLzaHdeOONZD5dgRBNF5r9Y/mWxkvQxEu6kx7xQEgx4ynTKlXynnvuodiJnDJT9O677yafximRNm4Q/f71r3+VVt4pK6Ibu4PS73//+/POOw8+Kyd5Doe6SoYIBG677TZhgs+jjz5KzlNON9tsMyJbjauphkoIJIvoQkaKPWW5nYxFFYkP3dSZ8tMJnKHWi6IdWsUa0qXcC+lWYZ5xxhn6sSRjSU0jsqA0Eany1EBTrK4FPqWE60kzTkkzsi3KbrvtpiokVKnQIz2yWSIDlCaCQ2jFnKsp/KI+ydoLTw34SEuBIv5Mon8gKmmEBYT2GTAE0hDQ2XRKpEmX0+Z2AJ08U7GcTorSxQXXqTxdt0Ho7A6LpGshz3T8CeLZe8BEEZ1k9sT1IYmOeu+aF7qBg5e8anyl9lMmdJ4wYSl2k+BgH4meHb1+nX26SxeP8m5yl9a583yvPY0clDZwfYBTFD4NPvjGki900GpvhoAhkB0B5m1ygxuVZ7akm7OKCsDhtpvkDDkraSXYcHNfsSowtSSJBmCuJKm5888/XzgPP/ywBITMMmVdljD3339/V15pKnm4C9iI6Jiuqa2xhKaSaGViJ/U8Gc5OO+3ELT6FPaOTBmONJDHJd7H2TFqpY8m9vitJRRNqfgqHcJeAcOTIkXJKKEhc5E6YdHXfe+89106IJiOqHHZ31GhQmKS8mMlJzpBTrhrxduylVwsZCSIuIiudvYnW8OHDmeL71FNPde/ePaMREdMqspy6Vydq5PTgcPnEfjxKIHMo0SBNklZyZYQmYrzooouSokFkWMLnRoNw+DOhAm3IFFlcMNSqqrS68zxL+CTjEr5JQMhjglB3duoiYAGhi4bRhkBzI6D36Uqk3OZrkwpH3NcWlY2IpDFES43EiLpt0KpQWn8xHTSw1HwDqxCl7jQIlmYlN0xXO0RLF+64c0r1nXNaz0FI9puSjSNEhxsd9pj65BNfGppcodwUEvlRFkKKAS69dPsBA9rL8+mhQ9mWvkZ3pucBrFgP3l036rtP/q/eq2QBazEEDIHsCLAUinArKs/Nri6li7bCYYomIYdu/EBmjyIioVqaUUW0dGZgrH0m4GlAyDJCoXUBIXUyidmiZtmogIWFejtOGUkWdEXFQhwyjQSxGvcyFpbAcZCqInYiMmQBIbM0Q1oZT4kfNEaipmhIi5iTQ5lIks6SUxJuhKbaFCKiYYkroCEozNVXX91tEprQVAJCTgmcKhIQMpeScJ1cK8VsLrjgAsmsMuORLBxgRn1I4vCR05WNyEgeOElY+Ewe5rPBB5iZoqzfYwJnury0AkL6B5WwOdYOESZzQSlmQ76a6Z0s14wVE2Zpn2T9o9DcdUoXbbnJAsK2fPVt7C0BAblbL+oGP25YFTITZ1p40oHGFkrQmuR8LN9VjPQmjbF6EdkGBvKpVhsk6ynpwNVxOK4PLi26rpJrF77fJHZ0A0GSffJClIkxrPYZMQJyxtixk3gP9Bd6HlO4egd052WX9YYNC0gKzQxgob3/4iAspJ4ML46gp/rg0D9PhN/3J3qIh1F+vHRUzjiGgCFQCgKEXhSA0SVP3MUSDGTZv86dBxibPmJNHTPlpLYK2TAiHEJWDQgJQd0NEsR1AjnqlxBqyilJxX//+9/ut0rKCO+99162Qcd5V4a4ghiDgz0VWEL2l7/8hYWLrkAW2t3qveD8SYagcXK68fSAUEHASOxukG5WVnd9TO8xS6uktlgoSCDN2jyJzJndes0116SHXq5xFzEMpkTFosUWF6QJJZ/m2uFikd92OSG64OWIFSDQZc3hiOBXzzXIADV97fJL+CSjrlOFdeqsa9NoRaDoP0jVNMIQMAQMAUPAEDAEDAFDoHwETjrpJA3SuP8mrArNTkzqwg3nWJQVK0bVGS22SahGhRUt1BmdL8rUR3KGOkuQhB4TTZngF2s5ymRPOfKQLEgjemHZ2Ccy6yEnR1zBukSWdVFhMsfL+r8behXM9uAGEy8ljiKQo9xoUjfuDulRGTfGjp1zqEii616LqKkUDiVAFXDCNjeVRxTEBFd5UiCTZqPZ0STLLLPUJpJ47liUrwRXzUWJVCeLJFlASJFYnhqwgaRKVoQghUu6+M033xRr1CLadtttefRALhFItU5SqK+iPsmiq38U6cMPddQGTy0gbIMX3YbcAhGQ/ExS9sbJX6WPLd1Mki7my8oPqbLrv0u7HWfoDHtJ2q6lRDrWn0Tp+AbXB5eOSmtvfpP6LQTvZAvlySvLGz77bGawQuY7z5vMipScLW7xyBNyLDd2bO3EiZ7M4RGtPOuBkOQJA9J/y80kVUY8oY7FNweeR/tKEja+IWAIFIMAMRKZH9W49tpr3dmPyo8lyL1oAsfNFrrCTP48+eSTJToiumOJnbSSPGEapyvJFD4WCmr0SGUR5N1IzBVOoYcMGcKiMg4WoREWcmjlG7QoTlNCQChbIOAhFmQ3AtcBojWdI0pKjZiK7QGliin5Sfamd4Wz025WjeVtUUWdL0qTFmWJiqVzKFhKdCQyl1xyCXlUV96dt6n5LlcgliZ6ZG93bdp5552VjiUuv/xy5RMcEgTqqQaryimfYMgaDRJ5PvnkkxqZU54nyX72T7Ja0D8KrX+rTUa4CARTjFyG0YZAa0KAX46Cd7otaLzckafclMtgM4w33UwsHhmsxurlMzN2XJnO8rqON5kCZp527gQrjiFX26Vz0nH/KwJC8E78RmVwXh06sAUhj+h4cb/Dug0CQl5Eg0zb4vaNlz9/64cfvJ9/9l/ijK5ClFP10CXiHGngqWQDK4HKLplgwNiGgCEQRSBUu4XI7cgjj4yKJXF45qN3uiwAixVjCz7SL9LEbgGkH4X+xS9+ESo0QuUYbWWS4X/+8x+t1BJrOcQkzGPvOzlknwCiOEp6Uk6GaEorcP7000+xcwJD1kKnBAy6JT2xHxNQXYEjjjiCuEIO1s7RpClWQoJQgouVdcxUlEOn6brWlMYgOMgpNV3eeustbYIg0NUUKGnP9dZbz23NTusGDKg88MADEvSKOksHSbcKTbbWTR6m2OeTsM022+h6VJKlbHKYIk+TxtgIu48J2BBCnyCkWyiqVbtDiy06NBrkFASSTGX/JKsF/aNAV5lGRBGwgDCKiXFaOAJy2xq6eeW07RyKQOqQNSRJlWpoVKtKNLQVRWlQlKKlfUBU6BCTYWM4U+zhGHKHUhBPfygixO2FvNq18xcBCpPfqkGDOg4YwGtJz+vjeYsFrx7BGsIuVBv1vE64StHRTp38Fxa0Swj3CIEmDie9u4pGGwKGQNMi8PHHH7u1W5gvx7IxymOGDknuJbmmcUhsCku0dA4eiSONakLzRVko6G70R4hFTBXyxN05MOoPEzUJYOQgDnQndhJU6Dq0oUOHZl8I5/bC+kM9pcQIezOADAk0Ct7ohFvSg2yXh5gbAqGozjCHkNMtcwe786nNKMF0U9cOkRI7T4AhISXR8kEHHaQqxNKlDQoLhM2ahiWQ3meffSiyQnKVabdM39X4ULe40E6FIEsJAnJQbZVkIBfOrel63HHHkS8NaYVOdVYwkLJLB+shIYiZ3Q0PQyrlnGp3GKF4EmE5w2SZH9sYupVdo11k+SSrFssUefogp/pnoq1GuAjYlFEXDaMNAUPAEDAEDAFDwBBoIgTI17llS7izZ3uGaN9sLLHkkjwpij+YX8rETtqIJbirjq3+QjKQ+Z+6ngphEibu5ulwxIj2wYRDd86h8CVEVJkQQbzEFFZJ0DFHlL0f2CqQJCRr5DQeQ2X77bcPKWY8PeWUU2666SYJSqlIKZklko0aapLNu+yyy8QaoRQCJLg4JTpi8ieL8aiYQsJNA2ymtlICJ713Jr6SNWUIiDEK5lKS6mQJnHYKnyiUADjdTkorSTn2F9Fyr3THEZInN6hDCzUx91KnX4aaOGX14MUXXxzlhzjrrLOOzrlluxGgZpjurhUir4VeQ+rFntKdqlDSlgquhIhuTdSk7rJ8ktWyRvt8CFk6q3wjoghYhjCKiXFaMgJubkTTJi6zuQcnvrjZmkb0SLop1IHmmQoJhtuzmQ9rFX0e103JPmftXT88SQp4lTtCsiHfxH15r5/g6dXU1bbj5acHmSkqGT+qhlKYe8cdefXYbruhQ4Zs2L07r01ra9fv2HHQssvyWoS7qC224GGy/2I7CnTJMfKSfKN2HHIo52fh/11fk6SdgSeJGN8QMASaEgGN65gbmTQBkmhQ4w3xjUVrxCGV9ZM5jcz306mhhEykuciCutEg1UqyxCexjnFbf/vtt7vr+iiBo4EZ0SCW3emOLFaUfRexRjBM1PTpp59qNLjGGmuQASuY1iPEJYUlWUfxipykdgqHvC7xW0E7sSNSJtv0sXQwNphHhnqzt956a8pDAbUTIkgqMkY3HRcS0NPhw4e78zYJ/CQa3GGHHdxpwwRvqlIOQXAe2tZSokFcpcCSWo52V9QnmZWKYopPnTs6tW+EImABoUJhRKtAQO+J3dG498dVcDsbckFvwnFZaNf3CtBuB6nmBLxUkZhG17z6D1HhQ02XZzfGTHTY7geG7nQwSogPzmlIQ9pdpvQrAaFuNjF/Qc28BbUzO/bktXDDjb0DDvB++1v/Rf2DCy7wLrrIf517rs858ED/RUDIU9Xll/dfiyxSHxNKWCgxocwjpfvooMSn6Lt4Ju9ua5TjthptCBgCVYMAKSC9ZSdeSvJL59qJQGi+aJJWsfxhw4Yxy5SVkNE9M8gusrEBa/868RSs1IMFigQJTCx09zMkBGXJHFNhQ+VYCB3JEZ133nmhpXfMWWVWJDlMnaiZ7g7JJSJtjDMn1pVkTeOll15KDR7CG5dfGk05GWaK0pe7sJMFokxwJau5I48LMxwE+exZwgDJfDK7lWgwNPYkGwyByi76QUKMBC/1XShL605VPfroo5MsFMu/7rrr2FlRB4vnTHZl2vMZZ5yhzxQYQihxTS8ZP8mkjrXOqju5t1g/24h8jU5NbiMDbvXDlMdLdlnDF5q7W/f2PNzcdOc4UvDA00z+ZrHldpYNgWKtuj24dKbeiu0szmixNuKdjFoRjlwMV0do1xOXduJHBLGhhpWGIDLU1m++8WneqYMg/K5dPe46+rCO0H8w7C3WfYHfxsFW9SQVe/XyaeJANe2fxx1Jzruy6Ubyh1avF8t0bTYCbd9sjQCqmWw9CLDYjC3dGA8hCjUhtQ6KO0KSWsQGUiCEFWVjxoxJyke5WuXQzB1lCwEWhjE9lc0Ps+SpiuqOsRB8ksEjfZee7STf9cUXXzDtkyqdjB2VojpSYW6uyHliB4TJ17m5SpUpnyCHyexNcGNGq+6rXr7ZjBao18pnA4iIKmM/SBntZBQjD8mlYSovg80Yu2b8JJOs3nPPPXGDoJrtNzXyzOhYWxOzNYRt7YrbeA0BQ8AQMAQMAUOgVSFAuu+0005jWR0B2NNPPx27SI/ZlbqGkEo2jR0Ngi9BBUfjAc3Ocuuvv34W+wQ25Cc5sginyAAaGwNypMiU30Rw29hdpDhJYpAjRaCyTaSL3SKrWYxn/CT/85//FGukWC0aLAisBYQFITKBVoFAc+Q0SgYuPWdTstmGhFIqGtpYphuqrgZL91w1xWi+Rc60LxUsmohaye8lzWC+V6rnegUtL+yQBmTWqBLffefTbHDFxr9ff+3TpAMRJk/IQTqwX792gwb5WcGVVvK4D1k6mGzFjNF27WqYIspBj/LyT4JTIfJOXG9oCJ02KBhlCBgCLQ8Bptgx0U4WX7GhXDQgZNnbCSecoMvnDmCCuh2GQAtEIOMnmW0tmOzK+Eix8slvgQNtapctIGxqxK0/Q6AqECAe0MAlwSFtr7rYIYPzCWNKZTPg6FCjHLER9UElFbhIbyLCuxCEhfPmeV995cu9+SZ18ChhNzlQopzdTNlmgtkuXbr0Xn11n80eYyjKjFFOmT0qJSF4p08NDpFRF5QIzNqbIWAItFoE2FqACpxsuEeGkOopWmSfTcbPP/986u9rZReK0FBPpdUCYQNrpQgU9UmmvJAURKVIbGjlZyuFp9xhWUBYLoKmbwgUhQA36BIMZNRyb+7DKsXaUn3Xg7QO6hVK7kf0tbfGC07EsnakA3UJaS3ah5TBu/25duHnTnP/NyAJBVP4vLMj/fff+61ffCHR4KhAdFywC73sLthrxozlX399KPzu3f0MoWQXiSTdQ6JBOGpc6AYZGlyHGxqMMgQMgdaAQPv27SnZIvU/2CBed/dmmqhuPMg4maFHa2sYsI2hjSGQ/ZPM4w92iQQeauRUsApO68bbAsLWfX1tdIaAIWAIGAKGgCHQJhDYfPPNqVRJRUqWzFGlo6vMO3eGTolOtp7PuO7O0TPSEKguBNI/ydSh/fWvf43Hv/nNb5qgLk51QVOqN1ZltFTkqlXPavFV65XJ86uoVI1kk/L0QydFmVNdseuks7Qlliitk5Cp+LGUYzrfYoolaUIcIl/J9zGPE7ISOg0NKXTqGgpo0eZdXojrGkJyfcwCfegh3wTvzz8/1/M+DuyN8byfPG92QLNkcBnP8+eMrrZaP37j9tnHZ8s2hMwa5WDKKC+dMgohXrjvvpw7EJf22xIOdzgqEsvU1sYh7JutcXA1q60fAdYNUhWTd/aBqHidz9YPn42wahCwT3KjXgrLEDYqvGbcEKhiBDKGBLkRSBRQpFJOOfc/6jHRBKwku/EKOXOZ/1fzSqSppviTpha0uQ4HnUkkIyald0VAiCWW8BUpGPPDDx0//liK13XwvN6eR3zIsYjn9W3fvh8Uuw8uuWR94Bc0FXhzffFF3XG5dAEz+c3qfT7bzgwBQ6A6EaBkZcbd9qrTf/PKEBAE7JPcqJ+EKt2Yfvr06bIYtPzBszHlhAkTZOOddGsV7DS9I2s1BAwBQ8AQMAQMAUPAEDAEDAFDoBoQqK6A8O2332ZvHLYNZW+ZLl26rLPOOv/+97/LhOnwww/n2djJJ5+cZKcxOk3qy/itEAFJ+vCuRIZBkmWRVwbZJhFR/wv1Vn5+KHNX+a4IvPk8/6xEc1FD+ZxyxikuicO8M0M0eNXULaytqePVrraOXeV5Me2zRw+/TgyvjTf29tjD2333rrwGD161U6fNPG+L4LXxYosNXnddj9fQoV7//r4iLyaLytTQ0j9I6Zrprflo2ZkhYAgYAoaAIWAItFwEqmgN4XXXXXfiiSfOnz8/hOZuu+324IMPyrSrUFPB09tvv/3AAw9EjLCQcsxR+cboNNpLU3JspU1Tou33Jff9bq9FxhJRA64x6Kz2ChoK2Y2eZu0pZtBRY+mcmK5i/YcpokKITFQ5wgkZC51GxOudzeOHdBCJctIH6aqIbsgCp5Mne/Kl163b7I7dZU/CUaO8kSM9odmTkHByscX8nphWutVWnuzzTDQoL/hCiPO8ywu+cnxlOUIOwAxxRCcnnvd/SlOeXKOc2Ddbo8BqRg0BQ8AQMAQMAW4Y6kJ3A80EymOPPbbrrrsyTZS9cdhLZ7PNNvv+++8vu+wy2VaSEsnsuFqsa19++SUFZ2WyaGxA2BidFutkxeXttqnikBYwmPIXVMwNdAXMpJgoMIZcczEOi045fcb3FrLIqci5/KhmhOOKJ7kaUarHIY+fxVAOv/D/oqvvEEJLzhBpQkH2Hxw92lf8+We/Mkznzj69+OLecst5y1BLxmNbevaloJGDdhYcinu8ywu+coSW0xCfU/8QB4Qu9l3tFqtYCXn7ZqsEimbDEDAEDAFDwBCIQaAqAkKygkOHDh09evRqq602YsQICmGJpwSrO+200xNPPNGzZ09qZHVgmlTmA5ubbrrpG2+8IRrRgLAxOs3sXSMK2m1TI4IbazrlDruYG+gKmEkxEet5lFmMw6JdTp/xvYUscipyLj+qGeG44kmuRpTqEcnjZzEURdLtUizwLi+aLCBMQiyZb99sydhYiyFgCBgChoAhUBYCVVFl9P777ycaZBzM6tRokFPuAM4880wCwilTprz00ktbMVkq83HuuecSDa666qrofvvtt1G9xug02otw2Ezz3XffxZN+/fqRtJQ7G2lis5SxY8cutthiK620Eu9JFoxfvQgQPURjBnFX+XkRRvxQREQ14oXSudpLWVbS+wi3pow+LFrauQ4K9ZTOZMiOsJAuElFOaR7FBKgphvBAnBCCUJCD7SaEmDrVGzPGk+dWn37KzvT100fJE1JOdOBAX3jIkL4rrdR30CCfJm3YqbM/QzQIKnnXATpDr3fQl88lD4VuOFe1hoZClNtBIVlrNwSKRcD9WSxW1+QNAUPAEGgLCDTupE6sN/tBIRku5JAhQ2I9+TE4Zs2aFdsay3z++efZibJTp04ffvjhoOBGigxhSLKoTrHTKziYhhqywympSBovv/xybXrhhRfgrLfeeuyactFFF3Xr1k0/qSussMKbb76J5LPPPgutfPKfp556KvJqpDRCDJama1olIrBwYV3BVzGmQ8aKUc2XDRkqeJqvXexZQfMhgUT7ITk55U8DgnclYsXyjUZFxICaiQoIJ89MrJBrKImeP79u3ry6uXP915w5dXyJzZjhv6ZNq5syxX/97391J59cN3gwr6meN8rzPgpen3oeD7HmBa+6Ndao+81v6m691X99/rmvPnu2/8Iy/ca4m+d7/EnsiFKY8VaalGvfbE0Kd5N3pj+FRhgChoAhYAjEItCoX8ztY7tsYibTROlxD0rsxR29e/eOYyfyJk2a9Ktf/YrliJdeeikZwiS5ojplfulPP/2EKQK2qMHJkyfTOnPmTG2aO3cuHGa6nnDCCddeey1pz80335ws6HfffTdq1KgddtjhwgsvpAknmSVL4Pree++xPQYOL7vssscff7zaMaJREUhJkxSXDkE6xVbxYyiu9xT7Ykh8EyeVI6eqK3w9bRJCMQt3HvJNnBGhsGjEUYw6MkJqR0g7jRHdJAY6rgkRi2VKByoc6oxT4Sh//HhvwgSPNYIsIfS8yZ5HWMhBKMjmgz8G9NLvv9+HzKFMmB8wwOP7UHaj5501hUG20DerxgOtAuNEWJ0Uefdd3XOZRhsCjY8AtzuN30nr76HxUGxZ3w0VwaFRhlwRz4r9IJc6kso6W6oX+aMt6FNlusnvtFnPmmAORfMHhEykZJ9AcF6O2VA8Ix816r///S+zKNkrggIzG220kZtey3I5SAYSd7H4kIgrSb7incZ29NVXXxENnnvuueeccw4ZS4JJdr+46qqriBWPOeYYlk3ee++9q6yyCrofffTRFltsQSh74403WkAYC6YxDQFDwBAwBAwBQ8AQMAQMAUOg4gg0f0A4hiU0wcEcS8Kk66+/3n1GSFjIzhC77757xpEjzB4VSyyxxD/+8Y8Ulcp2mtQRCcD9999/+PDhItCuXbtLLrnklltu+fnnn5kget9996288srSRCaT8PW88877nClhdXXpTwJOP/30pB6NnwWBgo+WMCIyRTxjEtEU0zQVYS7LODLLaL8hQk9TLOmIMgiriCqlGK5Ak3ajHVfAaL2J8OXSLrRTBJUZ6lf5rhVlIgxf1hDyznzyPn3gdZ02rYvnzQ5MsdCQRMn8gJ7L+6xZ/rJDjkUX9Qkx5RqUPGEg77/R5PopfFdeZIRv74aAIWAIGAKGgCHQthFo/oBQtoXgKpx//vmffvrpoosuyn70yy+/PKlCtowfP348U0nJmx1xxBEFr9THH398yimnIPbPf/6TmDBFvoKdpvRC07HHHusKMDuUNY3vv/8+BXI0GhQBmd06e/ZsEontZUqYq+nQRJXOmZHFIRC9T07RF+HQjXSKfP2delF9pJlr7jZ3IEoXAUdW/2Nwll6006yWArmIOYwVtIRAaGQRM4FxFUq3qGIoKU3YJnEgUz1FvW9ff2/BYMpo98mT502a5JeLCaaPQvQIaL/SFPtPyBca29hjQXR5lxcCMDUmpDv42mlgxH+LZWqrEYaAIWAIFEKAbxGO6LdLIT1rz0cgFkEBN1+wkmelXjzX2cb2sZLjNVtFItD8AaEuvSMaJEwisydzRxkIgdPee+/9xRdf/P73v995553JFqaMjlCKdBy1Z9jdfscdd0yRpKlSnab3Qmso6oNDTJjCL2gQgT/96U8pYpY/TAGHJr7aiv1GU3n3azGtF5VTTZGWU21NM1HFbe6gEsYibFewxPFgqGQrKCa4V5Qz0n9hS7ESNezrkz+CmnZ+7zVebZfgu3f11f01gawM5Fh33V7vv9/rk098evToebNnS3DYjnKjyy7ri3Hw7UFHbl/qn45XCOX7anYYAoaAIWAIGAKGgCGQiEDzB4S6u+CSSy7Jmjp36wXWEBIfUsNz6tSpzLRkC4rEcXjeH/7wB2qBUqMlSwKtUp2m+CNNHTt2jJVJ4scKh5innXZaiOOeWkDoomG0IWAIGAKGgCFgCBgChoAhYAikIND8AWHXrl3Fv3333deNBoW5ySabDB48mCQh+/WlDOOTTz655pprECA9SMVOV3LOnDmcsnXF66+/DsFOgGQgK9Kp24vRLQgB8iuSPinWZ9VyMzRpRlRONdOkW2Bbahqq2NErSKroI8KJNhSLEIo5WxnNJA0ohi+WYxp8L4UNETvBk9Zx43yxSZNYNji4+9DB0EttuVu3GRO8zz7zG0aN6sDi6ilTfJo9CckQrraaT7OGkKmhzDjlgMCH3AAbCL8t7lDJuEZ1ONSYqhSStVNv+vTpxVZBKxM1lhjwG9eZD4kdhkAOAfmzTfqjzknZ/5kQEBib4psw2oddwkyXyIQqg0DzB4TLsDwmOKi6GTsmCQipthLbKkxdE3jkkUfGij0cHDSxyPCyyy6rSKfaEUVilDaiRSCgX7xN9H2r/bUIdIp1UkFspGGKWe1F3IPpcoSOOuDwY80UNVaMhXsIn/v21C8IecGUvehlCeHcuRQW9iV5zPXDD/XrCnkyNmDAkkOHLgm//9ZbLL/cQu+773whKsqwqLhXL59mxoE6Qdfygu+64dK+ToFDvY2V09YircYaa51Mvv/ZRuipp57iwSU0y9dZEH7ooYey+1H2AR9wwAFsVpQkz6wQdrV1W4k8//jHPz722GOfffYZiuxXtNZaa1HOeu2113bFjDYEDAFDwBAwBLIg0PwB4dJLL92jRw8mhVI/JtZj2QBQFxbGyhTLrGCn/BizSUaxDph8lSDAba7e8mZ3SVRa/y2yjrAEjLKjGZHU3rR/XyR6qaRZpSN2YhlJSsKX91jFopiuU0LzTjQoAeHkyfUB4dNP+8SkSbK76SzP6zJoUA0dsRnNOuvUbrDBskIvvXQu4kMfQ651dSvkunvq0jn5WBu5xpj/kY8zEyPZplivvvrqPvvsw0ZHOuoffvjhueC46aabWASRZR/d77///o477lALUYLY0g0IKbe2yy67yHZNIvxNcLBj01lnnUW16qgF4xgChoAhYAgYAikISNmCFIGmaKKWDN2MGDEi2hmpP/bog7861ReSjw033JDdGmIPqnqix+aE0kp6UMyU1mk0GfjCCy+wvUSya9ZiCBgChoAh0AoR4GngIYccQjRIXWiWuP/vf//j4eCTTz65ww47MFp+GpJmrISwILUoHPbdZZVE9GBPJlUhN8jyCqLBLl26UJr7zTffJEl49913s36eXyI4zIZRYSMMAUPAEDAEDIEsCDR/hhAvmS3zwAMPvPjii7fffju06zdTZWbMmMG+fDwQVT6/iPJEljWHfanbXtJRVKe6uBEn11xzTe2Q9RvM0tFTI1oiApL3KDZh0hJHis8yTIbcKAkfBTE/lyTdVQCxWEPSV36P4b4qN9qMlsQdxSPkD5MhZD7EqFGkB1lN+G0gMInrM3p0T+jRo5d/442lZJr81lt7m27qbzzB0b59LesHa9v5dGKqkKZ0NHIfg8BKEW8ynEK2izDY0kWvuOIKieXY6OjAAw+U4bAeYbvttmPDIdkUl/Bst912Sx8peywhwOJD8o3pkrTeeuuto0ePhuDnUi0PGTKEKJQybF999RUZQuUXtGYCrRiB6J9q0jdSdhCiNrPrNr1k1NuCCERVmt7thh4LelNwPA22Cv8uuLJJtHrU5D0neWT8iiFQFRnCvfbaa91112VMBx98MEUyKRZKIu6NN9745S9/+fe//x3+cccdt8EGG+igeQS7UnCce+65yiyWKKrT/v37y8wfwr+HHnqIZCPd8Vx22223pVaNrkgs1geTrx4E9Gsuu0t8CuSVXaV5JfUbXInG8ifSAfCWjHCek6UZyjPhn5RjpuBF15FKLxR/kZfyJ03yWHcsL8+bStGr4DXR8773vLHB68vvv5/4xhseL4pkTZjgURuLF6vM5s3z5s/3Xwvr2LzCMS2dybs7Xu3VZRpdCQTIy2GG2Suh55gwmYrCnroQPEMs2JVElSuuuGJBSQRICfLOosFQ1Ec8edBBB9HEDyibMGUxVVCGp7Evv/zyI4888s4778ivnqpQ5u3RRx8lgp3MBGg7DAFDwBAwBFo4AlUREJIAZK0FYRUJNzaN4PeV3zZmgd53333Au/vuu1988cUVx7nYTv/yl7/gA2sd99hjD4qULr744lTBef7551mzsf3221fcPTPY9AhE76Uz+iARQiQIyqjdRGJR99RtJSrpSrS/Slov3lacP40SKwVokoL1XzV+QVCJ2iA6dKh3G/5ii/mv5ZaDs4TndQ1erB6kJPK04EWU+DPhHy8KynTv7tek0ZesRZR3uXb1Aa58gmVULu2gVS/vcEJkHE4hETv1EWB+ptS+3nzzzfk1CYFC2U/mcMIMVb0OicmpZAgzBoQyO8adRKo2qWcDPW/ePKpqC5MFFzzK5CBzqGJKbLbZZjTJT5swCV/hrL/++oyOojXs/YvMrrvuus4665CEfOuttxBjgSSV3shGMm2H2a1M0mEij62bUFSNMAQMAUOgJSJQFQEhwJGCYxv6E044gV8jwZEFEsSELLV/8MEHdZcIaerTp88WwcFPVEHQSS0iG/tbW1SnPHy9//77KR/Hbz/72vNYdJVVVrnzzjsvuOACjNMF1tQZppiKh+24Dcw/qAJH08CBA/PZFBHsJSrRe4uQpJ0aAoaAIWAINC8CrFwgKCJSImSK9YT0GvzuRPOFDjdDSHE1Fh+yHJFfmVg9+S1jpyWN+lRsxIgR0DxOJZAT5vz586nKxsHDVhVTgl8xmtyOWBUJZ9KkSfwWsyqSDXsJd6nBhgpRK7NSmbPDA9Avv/yScJc6NwgQf1566aXXXnutmjXCEDAEDAFDoOUhEFuIpRmZ/G7xi8jjTIgmc6OoTvn55Pd74sSJTeZeUR3JR7AoldYgvHBhXcqr1BGmmExpKrW3xtJLcTXaFO9EVC4LJ85Wih5/8fJKksmzlySUws/TbzhJ0UhvajAhlCutg1GC1rq6OXP81+ef1913n/86/fS6zTcnkei/PO9Lz3udWiTB613Pm7zWWnW8Lr20buzYOr5veE2ZUvfzz3WzZvmvuXPr5s/PQyzsT+TcdTBEK/IQoabQacRqEzFa1jcbzzfl0R5PDAsCRAjH6H73u98Rfek9RG1tLTtJvPTSSyH1kSNH8rQUMeqijRs3TloJ/FjQKLrnnnuuqrz7Lh8k/+A3S5lK8EyTJtfDp6l76+9w6T8pxo78CmOcDX7hyMHUGBKPYoTpqUyWgc+8HjVbGiHGS9NtMVqhv6WiTis3yKK6DQlXzovWaSkEV9Jpkw4+yQn4drQcBJrgG7IGNKQbe28dCMhdSMu7rHwOZdqVEqHrUcEPamR+V6ir0GlpPRfZSajPSp4W63+i58UakkFEzCWZcfkRJd9WmOkqFAVYvqHKmFErQug7hDYxy1P2mm/Xbm6PPrj86af+VoSsEhSavehZXigHdSWlfNUee3DrX78XPRMO5IUMN+2MI7h19zV0TEqIHfddHXGZQksTuhApFhBOb41arhSnBX2zkXkjtCNqYm7LmDFjYqd3KizsObHkkkvqKQSTMNm7Qr7DGfXZZ58d2kni+eefp9AoGUKWKZKlJAlJXwSHCJ900kmXX365YIUpJqwSVUIQEK6wwgpuL9BMePn4448JCFn4IE3PPPMMC+Oh999/f4rWqDyLEpmYw9p+UoLYXHnllbVp+PDhuNepUycelWq/2uoSN9xwg3saoo8++mg4Le+XKzSM9NOUv8B0RVor94dXHV4UHHCLFMiIbeUuZgaUUnxqUj8yuGoiyQjIt2ujfkO2T+7dWgyBJkRAv5iUkM75LgtxyndKvx+zWRYpVcrYf2M4nrHrkFhp/oeMlH5aOSD0EmS7blldrjw+OCq+6mo/fIHDJMAPP/Td+u67jhSH8bw1evVaY60h+++/KjRhIY2ypymCLDgMVhh63M8vsoivxEH4J3GgnFYQhwqaEt/a7DvR2mGHHUYcyO83EyzTo0FQkvmiEKwAvPLKK6lQSs6N6aZsOk9eju0lCNi23nprN3kIzYYWrPGbNWsWVc0UatYj/OEPf0iPylQ4naBKqitAvMcGTqQ9SUu60SAyRJW8EzGSTmT7DVcrREvIF2LaqSFgCBgChkA1IJD29V0N/pkPhoAhYAgYAoZA9SPAKrtTTz2VLZRwldzd1VdfrXtRpDjPGjxW5bHanMweszFFkkmhe++9N4v0iL6I+qizzeRMaWLt4o477vjKK69wSvSIDBlCSl5TmI0N67HARhcsR0/pMUtTKOpDhZiQ9yR+FptHHXVUilh6/jBF0ZoMAUPAEDAEykfAAsLyMTQLjYmAm7lQWlNFZfYsdtRsqjWkiu1W5bP1kNp92Y3Z/U9ERYahoyrbpRQDiT64OgprsS6pvFoIJmQp2+2kRFps8S5JQqxQ1ePrr/19JDjeecf75hufmDXLW3zx9sFcvnXXWmvdjTf2DvYn+H03od20aV7Hjr5Iv37+NFGxh7/ygu/4nkf7OmUcrtkyzLQtVWZLXnjhhUR0FGVh5JSZuemmm7LUPEN4y+CIxWv55Zc//vjj//znPzMjdMqUKT179kSMIJNokPDsv//97zbbbKOK1OJmLyV2iaD4JyVn2JdCm0ogOsqHL6KZxI8IxjCuv/76GG6O1WoDwkp9rUTtlPq36upFreYuSP3/rnCoqS2fFsQtHZyi1Mu9BOgn9RfLL7e/9KFba/UiYAFh9V4b8ywPAfdLSujY77I8nWwnasftIk5V21UjTiqGF5JXOzGi1c/C+9B4CvqMvDNmIbPYyNcr2E25AsWOLM+9FGViQg7miI4c6U8M5Xj99TnBzvQ/E9eRe3n5ZXid77/fYzvWjTaCXnrDDZdefXVPakUySbRdO4ErCpqDq4ux30n0SPExKmycjAhQuIUVfTLzkwQdgRlbE2XULSi2UfB5QIwMIXEmG10QB3I6fPhwNxqEw4xTinKzUJCVfhSYcTeTKNiLCRgChoAhYAi0cQQsIGzjHwAbvoOA3m67d9lOu5Juuyppa0FCVVw7BbXKF9Du1IEUm8iofIpYyU0Yz+JGrP2wb+posRbDhhqGnNGSiNX3r27gNFEch9gXmn3oCQKDNYIzx4//NhgYFWTmExAGdM9p0/o991znIFD0N60nLSgbF/bowV6ENYER/51e3I4C3aZ5a6Zum2ZwJfZCNDhs2LBp06ZRP+aiiy5ibmd0q6ESTQdqupsRXcCQnQAhdtppp6hZ9vKl2ic717NrRbQ1yiF0jDKNYwgYAoaAIdAGEbCAsA1edBuyIWAIGAKGQLkIfPPNN2zNR6jG3oCPP/74gAEDSrB4zz33UI6F0ixSnSVkgS6EI1tE6P7vbHUbkpRT4bNRRGyry2R261gpYeRyja4IAhmfJ5XZV7SX4p/ZFK9RptOtRF1wi16BxhhebC+NeOFi+9OBNWLH2ocRzYOABYTNg7v1WgEEGu8rWb8QM3z3IaLixQ4KxQw9FGu1sLyLXCn+l6AjGKWOVhuz4Fkx6BIMFTVE12G/xmNIWQY2e7ZfLTTYca4DucPgKs3wvOnBrFHOoGEOYCcKz2vPwsGVVvJWW82XYlkaHUj9RghJEsIXs/Luy2U6VNz1OZOmCUUQYEN29odgP4YXX3yRGZuR9kyM6667jsKkm2yyCcv/ogpSPIaNCiVVKHtIIEb9GPKBIXnCRfaEgEm50VBTNBn4wgsvaHgZErZTQ8AQMAQMgbaGQDCvqa0N2sbbmhDgDldfFR9XtrtmvckuoX96cF8lWChZRWBLUU8bfUHlFLu5phTcXPOCT04p9f8Ui6l6sY2uD7ECLlMvYv1OE3U1C+tq6mqDaZ/M/ORFNNi/v7+34Jprdlh7bXJJvAZSM8bzegYvosSGg75RkT0HqUajL7GunaGgNEQxh4yuqDEWY771y1Lt89///jfjZKeHjNEgKmwrz8HegwoQO/5BE/hRJlSZQiBJqVJo9rGQzSRWW201KS1z5plnstNDSJ7liwSoMDfddFNp0kQiIasrTE7ynHPOcTlGGwKGgCFgCLRlBCxD2JavfqsbO7e3HEXeGRdAQa2J8QTpSvWcrbcEJ5StVuCkuq0aTUTgWL4/sbjliyS6JqMMC3PuDj9RO2tDuj23K6Hd96CPmnnz2kHULjWgE+nBzp19ZufOHbt35/8Bb73VK5e7WeB53cgNSnFI6o6yA4EsPkQOo2pXad9Q/vUVmRAzkEp/UwwxEDteFUi306ZaWapHgMeQqfLyhhSPjRs/sRmbxUvLk08+yWYS0OzIxxaFwiQgpAAMsd/BBx9MdVCKiPbr149tDBE+99xz58yZQ71QSpiKMEU+Udxvv/3YUH7dddeFv8EGG7BHBerXXHPNbbfdhhh7UUiQCU1esXfv3hMnTiT8g95tt90ILNmj4phjjmEDQ3KM3377rVi2d0PAEDAEDIG2jIAFhG356tvYDQFDwBAwBEpBYPTo0aL20ksvpein79WOItVoHnrooQ033HDy5MlEgByuNfau+M9//oOMMqloSq3RSy65hJjwF7/4hfKFIEr817/+JelE4RBtEmpOnTqV2qedO3deZJFF6Iims846a/z48TfffHPIgp2Wi4A+lynXUPH62nUbf4SjOCRB2Nz4xDpYlFNiIauKyMX2mgRREl+NZO07yZDxqw4BCwir7pKYQ+UiUMHvPtcVvgcLfQOG2vWb0zWTkc7QW8RSbH/KDDnnaGuLymqjclRGm3xCuCqU11bECWZibYj5+K6LMF9IVPtO6Mllq2zIKHxpEkJ2moBms4nPP/dlmSRYU9N7qaW2hV7lrG07vvO6zx0xovvbb3cfM8anuU1njuiKK/o076wQ45SDPKGuG/TP8w/p1XUxv72oMzFTIWNF9dzyhKkmmmX/d3cnd1Ybikpoi0JOP//8c1YkMgdVZpN26NCBHSx23XXXs88+W3aEdwGinClJQiI6qolOmDCBJiI95I899thDDz20VhPLgc5BBx1EPEmGkACS/RI5qE+DWQJLdjjEH1mdKPaZYioeRmulsi4RTwYOZJpz3tGrVy9RcaPQPAk7MQQMAUPAEKh6BGrq5H6i6h01BzMiIL/Kdlnr4Wqkj3eRt8zleFFEV+ndZDOUbgNUE80U1NRPcJyJ7NpqRok4eyXNHI43pP3kEa7D0PJCon4NYbD1IPSkSd6zz/qKH33kTZxYb6FXL39CKAdLvVZeYqL37rv+CSUfiQkXXdSn11jDW3XVeqzxSmJC+G5wCF8dVsJXjlwk8RUZiJCkyLeE9zbyzUbARozHNFFiwiyXhQ3rmbnK5M+C8disWbO+++47Qj5CuCyWm1im9Vxf+XNrYvhC3bXYP/PQOEo8LXgJKoRPwX6S/I9VLMGp4lRie01ysSC/uL4LmjOBAgg0wTekBYQFrkGLa26CD02LwyQ+/VTmMIr8NizzqzhTb0X1UchikrECeklqUbQjhrKrZjAWiJRgMeJVtC+Xoz1ACE0QKCVgEKP4/9tvew884GuMGOF98YU3Z04ddLduNX37+syVV/Y239zbYgufpqToIlN/8GbM8E9oJh6QPKN/novxcE9eLidoz3sLjUI8g6nuqnqeWlWf2DdbVV+esp1rPdfX/SsrG5YSDYS+AUq00mLVCl6CCuFTsJ8kBGMVS3CqOJXYXpNcLMgvru+C5kygAAJN8A1pU0YLXANrNgQMAUPAEDAEDAFDoMUgILf+xd+yl6rXrMCUEOfEqhQPVwnDju1Z7LhNGX0RlYzCJXhrKm0KAQsI29TlbpGDdb8lYwdQ+NtQJAoairWexFRrhbv3TSClGkkmU/iqm623FEu5plItil4F3IgYEpvqV87RMv5XL7MbjXiV3r32oGJw5AWHHQRHjfJfHB99NN/zPvY8f1eA6dPbTZ/eE2LUqKVee22pYOs4b6utvHXWWWLQINheh/Ze+3ZebXs/neh/blz/3S5d2hdNPVwjCLqn2JHTogym9maNhoAhYAgYAoaAIdBSELCAsKVcqZbqJ/eZJd9kuresKeMPiSV2pw0hhRTTWZrEmhpPVlGRcvpHV+2Eu5KGcqw7FjFWiiV1rhRlv/vS+pXetHNnHJUmE8bFhic1tcGuJ0GH4sm0aX5RmY4dfVaHDu2D/SemBO0/ed4iATHuxx8H3nvvytDML2Xz+S5dfDabnDNdtH1732BtbU1Nbe6iJ/Rej1rJ41ezTYejP0w7DAFDwBAwBAwBQ6AaELCAsBquQuv0IXSTySAz3q+qYmm4FL6nxY8y+4h6pgYzDFJFVClqL4VTeIApytGmZHMpOKnnOpao4UycOENqUxszmQqSXqqbpyLcYs3lmYg7UYNKEL8RvrWr8YJYDp2ePb3FF/d1e/f2xo+nmEefwBALBecGxCzPmzF79kzoiRM7s9O4FBYljOQQq3C0poysIkgbY2C03DcdTnxP5Zo3fUPAEDAEDAFDwBCoKgQsIKyqy2HOGAKGgCFgCBgChkALRECfpLQo36NeRzlV+mgo6mg5yEetVXTYUfMpzrrCFfDCNZfSa1FNYrMCzhXVqwk3IgIWEDYiuGY6hABfIAW/PSr1xeXaielUWK5QyNeST9VmTK9ho4ioeLit0DmK8T2UY7RQp9F29T/sjJ6rRFS5EKdph+J4kwhuvgxnMjre5SXt0CT7PG/QUh26bdu5UyefS+nRZ55Zavz4doEIe0swa5SDb2Ca/UmlzCwll8isUQ6ESQxKkVEFEj60YhLi+2oVPxiI203F7ZtBQ8AQMAQMAUPAEKgCBCwgrIKL0Bpd4E6yeo7E21q52W0kX12zyXfVtLiCRYGWOK6irIiwOBHxs1ERynNTUcj3oVh8EswEXallFcrzoPgT7Igp3oneJIDjnWIyn33mm5s+fYmOHfdaeznIDTYYsNlm3tNPLwH99ttLfPllMCvU+5lNKFZayf8eZsdvKsrIlFEZtdrWfhDjkHHAjB2QMkW43HdxosJGy3XK9A2B6kJA/kyqy6dM3mR0vPm/BjI6mmnQTS1Upu8FwS8o0IgDbs6+G3FYbdO07UPY2q57E+xVkgWypG/AgjeWSYpZOk2XKdh16ZFZesfSWqj7cgYeY7tkczG2igAmTjuXRsuCEjLxJorwoTDeKeBI7wgkuNEwCGR4aRAIQV6Pg/dvv63fjX7cOF9ACsUMGOBtssln8wYi8sornlQW/fprPwLs39/XW399f09CqUADU17wIVhDKO7wLi/4roMuHWritP5IGXVOJPH/UAeJco3YUCXfbI04wrZtumVf33L+uBrvuif82ZbjbILJ3BhSTBfQzFlI+j/FcpJKpfiFPE9xLaWpWO8KeZH3ixA2XkE/wqaD84LOxWoZsxgEmuAbsrYYf0zWEDAEDAFDwBAwBAwBQ8AQMAQMAUOg9SBgGcLWcy1lJE3wFCELZKEHUsU+PwqpZ+kxu0xhZ5qp+3K6jR9UaRbjbGW0FKdaZIYw9zmOXtCMPiQbiJh0LeI6p/EDqFfMa+dEXjRKepCNIzhYPfj009599/n06697P/3EjhM+vdRS3qqrettu69PbbTeuk58q/PBDiot6sshw3XX9kqSY5JCyorwLjVPilxDqoxKIuXT01Dckpn2q+CNkvXgD5WtUyTdb+kAuuuiiW2+99b777ltllVXSJaOtX3/99V133fXee++NHDmye/fua6yxxq9+9av11lsvKhnlTJ48eccdd5wyZcoLL7zQt2/fqED1c1rE9Y2BsZw/qxhzFWIl/MGmOOs2JWj7vsU0uZoVcr8azcSMvN7NFABSmkobY7IXcZdG+6i4H2rZJVKcc8WMLgmBJviGtICwpCtTxUpN8KFpstE39pdY2tdXc/RdZp8xwynHYr65oizlqwafl6L00Ygx4dvJbibBQOCMvmEOOTEqRIJabL++rE4ZZaao0F995f33v96DD9LJzNdfn+B5c4LuqBvTg80nevDmB4T+i2OzzeYNXPEHf7N6f18KepGOeMe4+CKE0kgK7RK+vsMP0UFjMdjVKzj/aZcOr4nJ6v9mq6urW2655b799ts333xzXeL7zAeK11133Wmnnfbzz6wpbTgY8m9/+9u//OUvMvaGhgj1y1/+kigU9tixY5dZZplIewtgVP/1jQcx9qshXrQJuQl/sCnOuk0J2r7/MU2uZhMOsam7ihl5vQspAKQ0leZ/shdxl0b7qLgfatklUpxzxYwuCYEm+Ib0ixnYYQhUJwLy9dJ4X2VYTvwG04ZG6l7NakfBb62yU66IyDh69bIxfISyWEzprKQm+oy6V5wldTvfkJxpY4pNkcnXjogXaK6X1+6UkAZO/T3juXBsPIgp2T2QBYRkBWexwaBHto9io1JOdKHnTSJEnDoV/nIPPOAXnuGYO7fDrFlLs7yQo7YzuURZhyihpc/MHeqpErmW+P9jho9maADxqsYtEYFLLrmEaLAE5SuuuOKUU05BsX///mQFV1xxxc8///yOO+4YPXr0X//6127dup1//vkpZm+88UaJBlNkrMkQiEUg9ishysz4tRPbRatnCjhR0Fr9wG2ArQwBCwhb2QW14RgChoAhYAg0HQJTp0596623brrpprvvvruEXr/88suzzz4bxW233fbee+9lsqgYOf300w888MCHHnqIOPPQQw8dIE8NIh0wv/Skk06KsI1hCBgChoAhYAgUgUCwSKUIeRM1BJoaAR6/Nd7jycJP9aT7pvIgfbB4qw67tHtJVKCeWbLn+YZKNtPgRrkmGkZZOUsNNjNSoEL6Tl5k8+pfC2vm17XzK4TyYgUXL27ru3dnmijfsOwvwWua5030PCaH8vqe1YYff+y/mF86ZYqfWuRFznDevHY1C3mxG6EUF9XFhAxZXupnKSCUoqMdGhGDwOGHH96zZ89tttnmzjvvXBhN7MZohFnXX3/9zJkzF1100ZtvvlmjQYS6dOlCkLn44ovPnTv3lltuCasF53PmzNl///1RHzx4cKxA+Uyms4YmsqrNGTNmlDZktdCyiaSv4Kocleus0CW8MzLXTt5JirmqBKRop/JGnlU79KWdVc3kDIHmQMACwuZA3fosHoHG+2IN/ZAluiYeFOtHqb8iiW7kN8Sah9nsR7wPoFfsEW+oWCsVkxfAeefmn2iQyI4XodzMmd6342p5TR+4hrfHHt6ee/LqsNVWKzAPMHj14RY/iA/5zvVni06a5L+mTfNjSDEqtoL3moULamvqotFgaZ/Big3eDEUQ6Ny5M/M85Sitmsv777+PVdYcLrvssiHzvXv33n777WH+l1WpcQfLDilCs84665xxxhlx7d6YMWNYXsgxYQKrWcPHySefTJM73fTDDz+Ec8IJJyD64osvbrXVVh07dmTOao8ePQh9KV0D//vvvz/iiCOIVLt27UrUiuePP/542LSdGwKGgCFgCLQoBCwgbFGXy5w1BAwBQ8AQqBoErr76aoIuOUgSluDXJ598gtYKK/DoIOZYaaWV4CIznycF+Qdh2FVXXUVIdvvtt3eQSrb5ApxRd5R4jyM2y/fUU0/R9Omnn6oewR4cLFMrlWjw+eeflxzgtGnTyFLCIWJcc801SWZimSIHs2fPfvvtt3faaaenqaxrR5UgkP/cTR43iWtRWji868QHJbTJJWKGKM0xDTlWAf2cWNP/X7WONT0UZfZY7IPyMrsz9cZBwALCxsHVrDYOApohaRzzvtWCv26+UP4vrs9JP9wfHujQoa0OP7aHWCZKSSbr7QlqjvGsZL7dYs3IsLL2lSIXZygJipAZUc0fR0gkdypCcQqhvkREbpskq0eGcOxYb+RI//XGG96HMwd5Rx/tv044of1hhw0aOJDX6p7HrD5yQLz60ueQIf6LMIDtKARZ7JJz1NuxhQspAuO/cpNFhci5m/d/UpOMKZNonpBzkmTaETGyHARIA6I+bty4WCPCnzdv3jfffOMKkPE75JBDmM9J1ZkhfJAqemCcHOCwYcPeffddJqwSMW6++eb0INlIgkNqok6cOBGC+a7tmd/seellbyrqnRkzBAwBQ8AQqDwC/le5HYZAi0OA21Q5Ym55KzEYMau9xJjUthI8QEXVXdNJfFcmgS6sSo8luBrprlwz5eo3OCQQVmBMsYbUrrTmutUz2ondiOA4WAY4YgRpHJ9m44CuXYn1FoXeeus9Vj11JW/NNaE7jxjRmVQMOhyLL+5tsIFPbLSR17lz3odB+uVdOkCmttb/sAcdw1MHfPWSD6xIRyVbMMUKIbDaaqsRd5FnI4nHJEzXKsHYs88+KxxK12gTceCvf/3rH374Yc899yRyU36lCBYHsv8h+cPaYCvMoUOHkvxkWixxKcf999+/yy67SF9HHXXUO++8Q1j40UcfFez9mWeeKShjAhVEwP0TF9p9l47gRJnSJF81oS+c0GmDt2Kl4dyhXB0RczmOYGORKb5pl8hk8SqjmJptI0SzXNY2gm0TDtMCwiYE27pKQiD6fZ3lqzmwhmBUO6mfYvmZvuVK8yDJtMMXDLKPTiUVPMdYqWCFTRQLoX911J+ilV2FihlyjWagAwTcjeBkOPIuO02wvzyJQbndHT+eCjI1PXr4X60PP+ztvPOKO+20IvTQnXf2XnrJGz/e75LEomR1Bg3yt60XW9x8K1J0quMVwnEjIH0zWQ41ExZ2+wq32XnTIbDbbrv9+9//JuHGgsBrrrlGP2kLFiz4/e9//8UXX4grBGnq0+WXX060xn6DbDihzMoS55xzjkSDYnappZYaNGgQFU3XX399jQalabPNNiMgZAYpk1olW5jkCWVUk5qMbwgYAoaAIdC8CFhA2Lz4W++GgCFgCBgCbReBvfbaa9ddd6VszLXXXvvBBx/ss88+7G4/atQoVgaSfKP66KxgT8tFFllEMIJ55plnEq0RRlLZpZGAW3vttUOWqSsDhwI2sfwQM/aUWqyxfGFa/jAFnKxN+pTHUZDnRynvMmsh+phJjMl7kCpmskL949f6fqJGnX59UuRErF4nkIhyQoqVOo2OKsVyeV65Yw11ktIUkmyU06JAKM0D9+KWZsG0qgCBqg4IWdrOPJndd9+dH8WisOLZKlv6srfvEksswaJ8iqRlVy+50+xdmGQDAklfVbH8hC8d2LHiDb2UR7nG410o2QMxHTUKP8cM2Q6dFj0yMesOqWgTvmtlGaiED+p1RY2p1YBwBxnQZG9qgvmbKheUXfRGjfL3oh8/PpgO6n3FvNGpU/3l2c891/eLL5aSmh077zxwu70Hdv7xa1/3xx+9ZZbxiS5d/Hc5GIm8OI2OSjm+E/UaroP1rNL+w2LFbJXmQZvWokbLYYcd9sgjj7wcHIrFWmuttd9++5E5hCO/YuQJ2WeCqaQwt9xyS5WsOOFugOEaT+K7Mkl0euGZho91kr7xMyMgf83u37TLcSNAaPfUVZHvGXlnFxw59MunwRfXtNAxQjlxt6mgcE6pSf8v6FWqgIxPRJrMbRfUJuvUOmp9CFRvQPjggw/+4he/APGxY8cyNyYj9DxMvTQ42JpJVajcfcUVV0i5NmXGEqV1GmvKmIURKPZbU+Uj338uQ6UKO1C8hBp3e/TN6LlKZDeuKmokXxe2iuS3xJ+psNiT0zzbJVjM048JWOJdSeEW60OKqULw5/ueYCjkj4IohJ76IaEfkNW090M+mQE6caLHi7WE/PO8bz2PEv9zArrb2LEr3XbbKtCsLWR+6frr94fuv9Yy9Qgyd5TbMfcKJfmqMhA5mZDLQY8xb47vMa311nI2Gz5qyolTMl4FEejTpw8ZQnalJyYkScj0UbahZ/uH3/zmN8wOlY6WXHJJCLaX4EEnOz1ccMEFFXTATBkChoAhYAi0cQSqNCD87rvv2PWo2GtDNLjhhhvyg4oijxuXXnrpn376CeaTTz65+uqrP/HEE1tvvXWKzdI6TTFoTWkI6F1qmlBCm94cx7XrfWw5PcQZzuNhXDvKa4DrdixCLidPOv/ENerS+VJFmVTVsL2QnyqXRIT1k+Ri+ImqxfoQY7tJWAxAnqLTW24wNQsXdli4cIUVOsMbM8YbPdr74IPFoWfP7kkG0PNmQQfvHWfP7gj1zDODKScpkxUWXbTdYov5zR3YhJC6NNjkkHefCg7AkSudY8T+ryIh7VjhTEy1mEnahCqGABEgR8jc+OCRA0v4evbsSRPRIO9U+wxNe9EN4nX7Cn772JEiZC10SqYxxLHTloqA82cb+ipwv12Eli8zeefrRypjyakrrNNEwURtCrMeJdecSoi040/e95iIua0tFfGi/ZZBuzgVZaJKMatSt4qC1oTrEfAfclfbwW/br371q0ns2lzkccopp0g0eOqpp7LGndQiddt48tqvXz/Wux900EH8RiaZLLnTJIPGNwQMAUPAEDAEykHghRdeQJ1SLq4Rfs7m5B8U/xQBZVOJ1FWJ0vzkhbayiMoYxxAwBAwBQ6CNIFCNGcKLL754xIgRpPgK/qS5F4l1gyyyh8MSi0suuUSaWHlPSbR//etf1DfjUStJwgMPPNDVUrq0TlXdiGZAQO94Ep5RKVsFK+ukmtWO6u3LuTbDheOeZvRDVAJrUZNZbGBAFEU4dFrfVoJjub6zD8sZSk5Z/i9tYPk2KnYWGo84zbu86Ian6EpT6mP8+H5Bym/nnZen5Ic8O7///rVnz2bN89jAq+ksE/Q8P0PIbm2oSmUQFuTkbuC9du3a1dbmMoRqHAX3ygW2Gt4QiwiouDQ2CDsUTSrmsI1sTgRYp8BegvxUPfTQQ6G8H7vAv//++zhHJVJxkfUQp59+etRdluf98Y9/hH/33XczARUitPBeI0bVZbN7okc9NaI1ISBfAtH3UG6QIctOqkLwLtlCgUK+K4JtJhtmSOhiQl/GNed2hqYo5+UTA6vRL6Dq/FaS4US9FWh4LyigkkbkIyDI5fP8sxSwo8JpHLeDihlN67DVtFVdQPjGG28MHz68Q4cOxx13HD+T2YFm81wpzL3HHnuEtJgpyg/t9OnT33zzzdiAsGCns2fPpuwbZtkCuCOzvPIPmhDo27ev/BLTiCdfffUVdeEGD2Yzau/F4CBpSa4S9wYOHCgGxowZ8/DDD5PJXGyxxZjUuvPOO9vC+nxos53p33/CH7/LVtlspjNJYdPtol4HlttZ6DTJsKi45hzrrg2XTjIG39H2paLmU3TDTaIM13FPSW0Ma2U5zziYLKbKlNHxqB0GJi843ADxCqo++tsOsht9cEvUq/+YfffcpFu3Dohw//TIIytNmtQjMMDKQr4uekP36+dvQb/00j6bTuTGq/5+qZ2/KNHfblA78qUKHQhHvQ2M05J0SFOcXpKG8RsXAXb5kzTgbbfddswxx2hnZPDOO+88TiklqlNJ+ZlQAZf49ttv5XSjjTZyl9xrWEhsGVpFLwGka8RoQ8AQMAQMgTaLQHUFhNOmTTvggAOYD0OKj9ipqKsitblRIVUYUiTTKMlGwrZQE6dZOmX/JQq+IcyuULpIQ00R43388ces8j/rrLOE+dprr5GTZOMmQk1GxJ5RKkx1OMqLH3nkkciff/75DFabNthgAyTLKeOmptookeFuV26FU+6YS4NODebdanOiDdjN3jdariHn1DXp0iluiwsJ9goFECl2K9uUcTCFOtVhCmYy9nSlqIxvRA1BKI0oqT0pG/rggx7ZG9kunIr8a6yx04470tGmV29Pdf0nnvC/vt56qx/tSyzh97/qqh6V/Lt392kO6ZRwkpgwCCp9pmxB71McUbeE774jo765/EJ0qXqF7Fp7KgLUjJF95NlWXqexEBDyzc8vxR/+8Ac2nOCxIDZkW8L77rsPmp+Vkn8U+LWSjSvOPvvsTTbZhHX1GCTU5Kkre83zyNKShKlXrCU0Ot8Asd8ZwnTf5QtHbj34PpM8sawnFaYIyOMq9knlyG164j/wajjEqLsGUdrQFGXXUINajlLPxY6e5tpb7v8yFBlWaBTuKGMFQvKcuirR1hbESR9vq/sUtKArU+9qda0h5Pnol19+ueWWW7Ihb7FY6vYSzJkJ6T722GMsJoQZWokhYuV0GuoodMqSffbMYHsl3tnnd99992VeEBHgscceSzFxOPz8n3DCCdwHEDqiyz0BP9shI3ZqCBgChoAh0AoQ4Ink98HBdkrucP7zn/8Q8jGvhAUOyy+//GqrrcaGSbfccgsy/FKcdNJJrnBRNBOS+blBhWo0RJ477rgjtbuXXXZZHkeyKyDGi7JmwoaAIWAIGAKtFQH3aU8zj5EVgGzFy/SYW2+9lcCpWG+6du3KHBjiK5ZkHHXUUWzd279/f+LA+++//+STT8Ya0SDJupDZMjsNWQudMhf0xx9/ZHXHVlttJU383lPbhpjwrrvuIq/IfUDnzp1pGj58OJXEmfVK7HrllVeG7LTOU556pT8vKnnYajb5wZq2qGyW3kLCasTVRSaPLychTVchiQ4ZEgt5pn3N7OZD9vK6xUpRHsbZyuJJwiByvrijU1HtSzg52YL/izHXZKxKrFWea6NYP3+b7yL1AS638m+95Zt65x3vtddm5DL8Xd54w/v4Y9jdd//ioD32WGONZaBfesljKl/wJ+7xzIfpfjLfHJPqGLbFByHqO9Ue/Z6KPjAuNlM0XQF1JkXemhoPAR4IvvLKK0RuL7300tdffy0dsY6A6SQ8LixzHQHL41lAeN111/FryCp6jBMlHn300azIOP744xtvUK3fctKfjfun1agoJDmQ69R1RGjJ2Mm7JPZIDMoUeNmoS7KF8q3G1xSH5AalYC0dyjeYWKsRE25WMeSSmKiXZt5FSzsa2XNBSzqJhSYEZ1SmgECK6ait5uYUGEu6e0kjbeQrmO5Ui2strnBL4w2PZXhrr702y/yYJLPnnnvSEQsqiJ0gitqH8MYbb+R5qmxCKFNlxGfWYNAklbt1FNk7pcx3ypTRVVddNTRllKwgU0bpiDSgrAPRTllnyHQg4l5mn/KufH6ef/e73/FTTV4xPR7mt1y1osQNN9wAU6bIRlurjpP0Z1xxRwt92WRxJEkm1naY6Sq7dMGRuoYcOmQjdBpr1dH22/NOs+hHjeaZyGsuaC9ZNc9OY5+4fiqtBL37wZuX23aCOeevvuo9/bTv1YMPTvnii+8D/2Zw2+R5wcxQr8/yy3v77uvtuists9be5KOP6meEwuamSiwzdrlTEkJov6Pc7FQfHNeJoJe0N18h5ijKBvoJZmIsNz1L4qIW881WEkCfffYZPyWsYmDyCDM8mdJZkpkYpQkTJvArxlJD4kwsy66GMXLNx2o917fYv7qSMY/8uWrPQkjgJ7TEbm4EJ3NE+UqTUDBLQEgJLZn03rWr73TN7GBzHTEknYlLVJ7RLzXkXFoE3HcdfmQ42lI6oYiUbiL1azHV54ydp4ilmveHVEAgxXQ5gLi6BTxwRQv8phVjKc+sf5I+0rJMR/pqJkYTfENWRYaQ55fk7ogGWVkn0WDJgFPxhThQAkJdVYi1Xr16he4kKthpirfMzwm1MiOIgHDLLbd0o0Fk2ImYdxZAssAjPSCUkC9ktqWe6h9q+t9z+cPDvvYVZ43Gkl2ItR1muh24dJwzeTzXkEMXZUMMOto+g1MO7DT8J6yAkektZDGTTr1QGarFdJNZVoau70KgzX1OsLSvHXQ7uekRm/PnsyJ5UkBPBEbP+ymgfx4zZgAPZYKN6hedOHG9rbaau0g3X7edX0jGNQAT8OUVqOa/FXWBqw3N/KHYWUYEVgyOjMJFiREB7rDDDkWpmHCJCBT1l1tiH2lqfBno1xdyLi1qwpHvItYQSig4ZYrfOG2a/y4hHuPgWHRR/z3YBdP/surUyT+tPyQ36AaEssQQOVHOCfr/S68uP8px5StCS3dRCCpiPHZQxVtubB+L9yibhnspUzUywl/KxyG76czepg6llTdWRUDIonnqf/JTWFRZ0eiVYQLM3/72N/islDj44IOp8PnDDz+8/PLLmL3++uuff/75ESNGsMOvKFaq06gbLkcWB7occoCcJvFdySSasSQ1wU/PH6YoWpMhYAgYAoaAIWAIGAKGgCFgCLQ1BJo/IHz22Wf//Oc/s8+ELqgr7RqwKk+iwYsuuuj//u//1AjBISXdWKHHqvrDDjvs8ccfp6lSnWovSUTS8o8kfpIdl88KSfc0RLfUgFCf32R85BMadpZTtax95WspWwXz29POVEWNIA3TPc3TlwZVy2uLnLiGHBobasClI/oNDJFP80otNiilUo4/rpx2kWJPm1TYtdA0tIsb/ohLvPP43KXlIXpNTbfe663HrjK+b+PGLTlhwpxg/c1CZodyuQOPZ3re7MmTO40e7Z998YU3eHDHZZf16c6dazvUpxhDeUK/Nf+gax8TwUX8yBewM0PAEGi7CES+MTN+ScSKSfH1H37w4ZwwwX+XbzifYlF0UBi5b1+fZu5n/WRRmVeis05pE9PB827/iyvioa/fxg4wiAU8FgYVbhnItQwvHaTlSrQ4t50RNAHZ/AHh5ZdfzmRO6qpRfIVDx8yCB6HZpEGKbp9yyinEjSoQIiQaZJ/A6L69MAkRzzjjDJbUjx49muxcpToN+WCnFUBAvxcrYCvBhH5JJ3w7JLmQxHe7wbZrNe9bSBq0d9SyWBTrriGXdvqOmncaE0mMuQ4nyqU0JPiTohFqqoAPIYvpp+KwyPBsRm5uglNp4Z2YTcI25nkyjYqlgBxUXFhqqZ7r77KLf8JN09Spyz7yCCRzR5kvusDnevOD4LCTO/VKDM2bV9PBr+eBTOxld90ILFXmLbavJNMy/EbyJKlT4xsChoAhYAgYAoZA8yLQ/AEhS+aA4J3giMWCImnCZ0ZoSkDIVoGIbbjhhrEL8DbeeGMxQiVPAsJKdSo2KSUqhL1XBgG9IXVv3CtjOt+Ka187DUTkzG0XzSS+a1e11CQcpeOjAVcfOk/BaXP5AZ3FH0e/nnTNhHvDIs0lHCGjRVooT7uYzkKjy51KXNhwmXKPvIn7KBb69tt+Fz/95BeGeest/2tz110PXHbAgNr+/aFXvO++aRMmkBvkYIlNTyrxUUOGg9KibFEoB190BJdBB3xHSbe5zutF3N7rWfyX8YpgK6IfYTRYNcoQMARaEgKV+GMWG/Iuy/2kfCg4UA+ZQ/ZYnRSsjZYHWVL5boUV/FYeZ/Xu7RP1vxFSn9TNJ4q0FMhCzPXZpQMbTfcmXYe+bZuu+6w9NSNCWV0sUq7qIBeHWh/QRV6XJHH/zqZ5j9VXXz12v3i2a9IYT4qtycP1JG8pnkZgRonOWAHl9wjuzyrVKX1Ry5uVirGdGtMQMAQMAUPAEDAE2hYCWSIQZLLfL2e7hc1oT4xJ7U/CQik9Onmyf4m++85/l4mj1Jvh6NPHf5eZotAyeb4+0pOiMrJVhZgT0zJx1NcLjmzO56Rb4P/JYYYMPeN1KWrkVQ5qYww5D59G7yCvtzZy0vwB4aWXXhqLtW47cc899yyzzDKxMi6TXStYJfjaa68R+1Fr1G2CHjFiBO88mJfdI4rtVGeVEfutIM/Kch3ceeedOdL+rzQCjfdtGvVUv1+cL9oy+8ekGnNpn+t2p7R6pWrKUcI1lKND9pCNmlQDQuRUQ+zgVHovaCKqGmfU9S2q0cyc/DH6s0eD6aO885L7pM8+89hikCQhB0sCeeIk30bvvuvtvvvGu1ywkt+wxhrdn322O80cfPnwFH3DDX16rbXqt/GCpi9e8tSdR+dy/+QLVe6Q4cgYKmfVLBkChoAhYAgYAoZA60ag+QPCEvD98ssvn3rqKRRXWWWVzTbbTCzsvvvuxGbs6stOvldccYU7cZQo8bLLLkNsyy23ZP/6EnrUiJToVGefYmfcuHHnn39+CQbbpkr+7XcDBgXuYN3mJBMNxsqm6MLtMTftxe2Zdvc0pUsRE3suXd+Fy4padFvdPuL4IZfcHl3VJDrOZJJs0fyQb0n6jepDuFPpzH1HooYwrdaXbOdHhvKY/JNP/GlUsqJ54cIvKcw+enQXREaPHvzNN9706YtB73PYke2WXtrfopCDkI9pCNtt59O9evmzrORiuJeEfoOuJQAVL3z5pCMjgknqxjcEDIHqQUC+CjL6U0g45dsj2iTGQu8iJqVlZPOJqVN95yRDKHth/vyzzyEXKE+05L1W/nO3sfelgp9MMVrIeRFvonfXmSg0TeREU3XTfANs9J4bvYOmukbV10+LDAhZb3jMMccAJhU1NSDcb7/9Hnjggbvvvvuqq6569dVX2dSeVB7zTl988cV///vfLBpkTuk//vGP0i4B2xgSfLJlMMaxQF+dOnV6/fXXhw8fPnXq1PXWW49tM0qz3Ea00v+EpdX9uk6EJSqUbjrRUGoDNiMdwXC7Cp2mmvMV1Z5L+1w16tLp5txWUQ+sSxdqz5WKpR3VuPYUf9CUzqJ6BYxGFcKcsg2EDRY4pz/pUt6DW5xaArV27eXeiHsgboYWLgz25/LGe97YXPmYMU89NeibbwZin4hxjz12Wvv4tf2+mHrFNKwll/RpQUnfIRQ36S6QieP52nYYAoaAIWAIGAKGgCHQBAi0yIAwCRd2bGdXesK/t4LDFSOco3VZqf/uNmSm//nPf26xxRZsec+uhhyiR76R7S4eeughCwgzA2mChoAhYAgYAoZAa0dAnvToox+Gq89+ZOhRAReSkLDblEq7HYYEY5tcL9w+ZbaEvEsuEHWZSC9JwY4iHdWhV5cZckJPs8gkCceORIULEm7XKaZcsYI2W71AI6PRyOadyyNXvOn6c7qubrJ6A0Lqvpx77rmgJ3tOuDCuvPLK0sTugi6fgjGEbccee+ytt95KNdFRo0b16dNnpZVW2nzzzQ855JD2UlTLVYjQKZ3KToZ/+tOfiP2+/fZb8o3EhyeddBJ5SLbNYE4pvai9gQMHiofR1YxHHHHEDjvssOmmm6qwEOyNISruZNeQTAs9Tfm+dUcUFcv0BxsSilpx+8hOqx3HPqSysSQtLifFPGJqyaV9bpIJV0FMK4dT14pDu/ZcOsU3bXLMKC+BUJ9dl1Q2YkikVEkFm4EIgYJPerMDLS7OnVszb97AgX45BaosDB3KlNHu0DNndgN3Zo3m3G4/cuRS0G+8sSiTQ3v/ws8KLjloSb5pauuCTSi4b8KgDJ53IXLK0f8LtUc14jjaY65RzcrgcuxK/B/pqxJGW7ANdsHl1+e+++7jEWSxw/jpp59uvPFGfrlYDM8MlFVXXXWjjTZiNkrsLwI/Ovfff/8rr7zy/vvvM0uFHyB23P3Vr37VRatGFtu9yRsChoAhYAi0YQRq+F1pw8NvhUPPrUqqosta5kdMb2eLvlpldqz9RTwIGQ6dql4s4Rqrp119l1Z9l+nqI+Ce5mhX3KXVXojI6flsl/bPY/VdZljBV6o/Ik2uXk4o7f+IgTTh4trEFUJBXvLQWwgpoU55GCaM9uuHzdmrrPPww94tt/jmn3xyhucxOXyMf+J18Lwenrca1NCh/bff3vvVr3zugAH+1hRS1qrWC7a312HreCBc2tfzj6ig8PPaGljJlBrPF1H7+ezwWYK2I+YaKiztKJZBVuE3W2g0/Jgut9xyPC7koWHoYWVIMnrKxJaTTz6ZmDDUtM466xAlSi00bfrqq694sPjcc88pR4gBAwYQJa655pohfos4rf7r27gwun9T0lO2vyxXT2jelcCS0PolB0doff/8c7+/oCwDG4D5tNRNF0XZZ2LIEJ+/2mqefLggODp8N8b/b/p0/10yiXz9ccRWGZXhRN+RTx9peivq4qjfcRlHipGCDki3yWIptkv2OLm3wGQzdFk/lJJ7LjAiRarkDtSCEFn7C6k122kTfENWb4aw2VC3jqsMgdg//0x/ywjFKscOEEkxqoSKqZFcryHDoVPViyWi5hv6RUF9iFWGGaOfExU/+dpwxu3SObm0/1PMp6llayvWmWxW828IBMB8TQHG5cl3q4+2vGhDiG21pDDM++/7mcGePWF32uDLfXbYvq7OzxB26NDlkUfI7ftFZcgXcuODGhS3VlRjly1vMMOpTKlq37621hcJns64TsQ5Gdisf0M2LCLnrhFXIUTH6IckKnfalH1VzuvGsHTJJZcQDZZgmUQfc1iIJ8nvHXXUUUxUmTZtGvEeixHefvvt7bff/sMPP+zbt69YponZKNLRPvvsA82GTCyVp6YagSLTT1hj3y94llGCJ6ZiCBgChoAh0DYRsICwbV53G7UhYAgYAoZABRBgxiaL1m+66SZKmpVgbsGCBSxzIBrs3bs3BbF1W6MTTzyRqad77703++tSPu3BBx8U46eeeirRIEEg4eLOO+8szN/85jeHH344p9RRY+kBScUSPDGV5kTAfeITfhpUll/uQyShZY68PLTiMZb0xqR3juWX99+DR2E+wSFbzcteO+xDKGXaJR1YPxFC6pCKFUk7oian7ntgrbg3US+o44q5oy2o6Aq4Rlx+JWixXbJrURcKO1vxLqNORDhlDlDU04ZWZgcRh40RQsACwhAgdtoyEAh9MyR+iWhDSCF2lCqjhKqLPPwch/9VikZhu5zYHkJMx15golh9zKlKzjHpwvVHW1Q2zY1Qm2tImwpaVMkIgWqSGxHZbIyQOU7VPQeekJSY9jcDVHkItpiQDQffesuTeVTIMYnq3Xf3PeQQyGWWGbLCCu3vvns96HHjeKvr29ffuJA9Jrbc0pOSVZiUiajw5e5IspE1tb5kyhHrYVi+PPgUmEx9hfu28xgECMNukfnEMY2ZWNTE/uCDDxA988wzNRoUzb322gv7hJqPP/647K87Y8YMCfaIADUaFOGtt96aWPGCCy5gC182Xiptg6Wox0SqdBprDT5V3GKXOEbtGMcQMAQMAUOgmhGorWbnzDdDICMC3ODqK16Fe2F5xTcncKM3ztJNIF6CPenGterSDZGM3rmLQsh5x4cYvx2LITMxwnGsGPMVMxTXX8m8GEcDWwl8YUu0RqgmrzrmdLLihRfbRbB0cNQo//Xuuz/+8MM3wWvq8897f/+7x34zV121Sdf3jzvOIzbktcsu3lZb1VA6hNdKK/lLaxZd1H8JVNIX73SnNETsIQKxTTHMjNci1WhGGzG9Gysfgc6dO/fPHTqrM1+kwBnbF4kE4V9UlPmiMIkGP/roIwjmjrKFEsSee+4ZFaaoDMzZs2c/88wz0jpmzJhfBscE2VUzX4dVizSSh1Q29uGccMIJcJiGutVWW1EXrVu3bhRsIzSdzN+I55GEZAXj4osvTpTIHFdWSxKvqgUjykKAv8zMf5ypf+LxXoiKvMsXINsPSp9LLeXx4quM1+qr+6811vBfK6/svwYO9F9LLOF17uy/6g85IWnIS2gSjrxIPupTsZxscf8Xg0OeZVEsWT3PVsVOSrhS5fbdDF2W67LpNzsCliFs9kvQ+h3gy5lvpyY73L7oOnwU642ac23BzJ269lw63G/+uVgVGy7dEE8UtOX44Nt2Tx3aNePS+e7UXyDxR5ocGyFZ59RVcNhVQQYDEAch5YVjEqG5Hi7SIfiUUE6G+5igqMzcGTMmed7EQGiC53WbPHnw3/7GWfvJk1fYbbczz9wXmsWG7E/4/fe+0FZb+ZOsZBqVbkQP3+3Xl2v6IwAhttukD0M1X9LYgTQv8+rgEB9GjBixJZniIo9xQa6ZoCt2VyQCTrE3L9gm/BOS2MERyiUqs0OHDkiSctxjjz1gTpkyReI96mOLjPv+1FNPsbmuW4SGYA/5QYMGUSv10EMPZTqrJABZuEgilNWJFL/ZbrvtCC/9pco1NQSfrHLcaaedMLXtttu6xo02BAwBQ8AQaEEIWIawBV0sc9UQMAQMAUOgVSFAqDZ9+vTYDB7jlFwfUdmKK67IKesMZfASRoaAmDhxosSNbLkUairqFGfIAQ4bNuzdd98lOclOGLKp0nvvvUfVU4LD6667jr4grr/+etnP6fzzzy+qCxOuEgR4ANSpk/9ifSAv5r3zknzgoEEer/79/deSS/ovHnuJcL3zHTpQaKuexUpCXjwVkwdjScOjv9Azp9BpkmIJ/MazXIIzplIIgehHo0FDH+g2sMqmGsNm2U41rwHLEDYv/m2ld/1m5m+wKQ/tTh3we+dEG9SbWKa2QqDiWnFOXVWXdrVjacdG2LwvL925roasu/qxHRTJTLMX6tq1LB6Kty5f6IjR6LCiSpk4UUPiiavseCWNvOtsJiZNTZ3KDYz/XGxpyilw+7PcctAdO3VqP3v23MDODM/jRa1QjiFMjWvXrnNQfmGLLbYhoUhdUg5ukoJ5fD5Nh/ISmnd1Cr7QjlO+SuyBZKKYNKjdWP0MTLVftqUMnZlIAgKLBEdsI9tX/J3pyp5HNdGeQaGP1aTev+eRjdxwww1DWo8++qhwqHMTairqlMWB6623Hkk/+dMYOnQoJUyZGEu0ycHOFrswYTo4qIlK2pCwUGa0pvfy5ZdfpgtYa2MjIH/y8i6BGwFdLgntd85XGQdfjBwiIDvoiAwzQ+W0/qtD9naW7z55V9OiXC/nW8v7OnP5QWPDW0pTg1BmSqw19xdcxb1I+3UQbCrbZWUvSuarZ4JNjIAFhE0MeFvvTr9YmvgrOvwFGutHwe9QddqVDOgIoyEMSL/krmMNNObcvpTGltsUMi1iUVdCYplPG/xJV5Ee02VKas3qQMi4C1dAUzxGfYTBrUsw/87fWuLdd+vpAQM6bb7NdrWyA9c33/R9/vkpgVnurFmzJffXMyZP7jJypK/DFhRrrtmhZ89FO/mh4vwFNdxCabf0Jd0pEVhqpjfc0sEnuKDtOoQEwRwbhayiORX7v0gE7r33XsKtWbNm9erV68ILLxTt5ZdfnpiQlX4XX3wxywiHyPZwQdvIkSP/8Ic/iBgRXZG9hcXPOecciQalYamllmIeKV2sv/76Gg1K02abbUZAyNzU+fPnS7YwbCt3joUcaf8bAoaAIWAIVBcCFhBW1/VoO97oPagMueTbyyTFkH16UcloU9GwY0utODQ8txel0+2LmNqrF3ZtpesXahXLbi8ZHQsbdg2F24o+zzI+6bCA6ZAhHRsELzGxcCF3t9JCNMhr7FjfKqU33nvPmzbNp9m57Ztv2Fz+V9C106d3nTmz/xtvQFNMlFShzK2fwxaESMs6rk8/9YstsAk9aws7dsS+PCLX/uFL55lGgXTjHeJTZf0Qa4pw4znf9iyzUPD3v/+9VGpZbLHFIDSUYtnezTffTG6Q6ZrsVn/ccccxh5Os3RtvvEH10Tlz5nTq1Il1fSQdy4Rt7bXXDlmgrgwcuovlh5ixpwOZiZh8WP4wGZviWvQP3f27F6a8S/aO1c4cZAhFTJiSIXQVEeCQDxStkhT0WRxiws0TCh9bbn/qkLTqe4gfOlWx8gmxLKMq31rUQiHPG6/nqC/1nKbtsml7Sxy0NZSJgAWEZQJo6oaAIWAIGAKGQAUQIM929tlnM02UbBvmdt11V5JvZOdc00zmpOLL8ccfT83PP//5z9pEdu7aa6+99NJLqSxKiRrll0Z07949VjGJHyscYo4ePTrEcU+Jdd1Tow0BQ8AQMASaEgELCJsSbesrEQH3ZqAiT5tcI65xPKCpgaOUKsBROtHffCuORVfbpVMsSZPYkJ7VqXqtkCFtjvXTcSZ/qA0uhOw1NOQPC368P65CFtp1KYt8LreWTTYiJU7zLgTtwYDZyxsS3sSJ3nPP+VovvOBR8//77/0VM507t3v7bU+K8x9//DGde/bsfcMN8HuOGME6wWBNjdeT++ytt/bWW89XXnpp36ystpk/v7Z9+9r2fh6RPKF264uVMRa1oxdcDFbRe/V6VkUgZXTlscceO+yww6jziTzzQik2Q/XOWN0DDjiADSGuuuoqir5Q8YXNADfeeOPf/va3q6++OjtJoBKKIWONGLPVI+D+dQotaUD5YtFcnzTJqXyfiUAokQhcZAuFWQ+daEqe0DUNX5qS3kPQi1iIWfFT6UW/VStuvwkNFgassoMV0Ar32oQQhLqKXtZq9jbkfNWcWkBYNZfCHMkh4P4hR//Mc1JF/B/9NotyJGaoN4oHWTp2rTi0+J/FQNIY0PWNuIZcWtWEqaepBLKuS6FTV9UZisvO0SmaOZEy/y9mWEFXIZdkALy7wRn3K8HNzoK6jl995X37ra/IvoPffz/Z876Gnjmz7o03+o4f3y+w6B1++P692FWQ6aA9enRjraFU6aC0AsUeN9jAlwkmi/pdcGA557TOTYXtAs5pTsTXqMARGnUFLJqJZkOArOCxxx7LLvDUESXL9+tf/9pdwhd1a8kll/zjH/8Y4pMzZL4ozJXYSy7DQQXRDFImYggYAoaAIdD6EbCAsPVf4+YfoXtfXORNsYq7NtwRZb8rFgtqECNw3FPXbBG0a8WhxTGxL10XtOloO7JiSBgu7YiESdeQS+fLZfctbCOjG/ndZTwTrwoK45J7NMw30wYIojUJ2KCJ2YLb30W6d+/Zs5MsiQlunqkX811gCmLcN99Mgv7731dFfJ999oAedFRHf6t6MTtlijdsmLf44r48z8XVV1qlO78Bdv0Dcv4XvYDdCG+N3kEj+GwmIwjcc889rAYkGiQl+M9//rMP5f9LOl4g5R0clH4paIAN7r9h1awdbQMB+a6S97wsX+5BleT53O8rV1jyh7zn6bpZQVdTIXV7FVqakmhVjBBq3lWNSGVguPpqNINevIhrLV6iVXCbcZgFr1GSgPCb0fMWeOX9OU52GAKGgCFgCBgChkDTIzBz5syjjz6a8Gz33Xd/6KGHCkaD7Dg/bNiwa665JuoqawthLrfccu5e8yJG4ZmQPKVrKEITYtqpIWAIGAKGQNtEwDKEbfO6N9qok57WaIcpAqnPcqQxVpumWL726RIiqV2pos9x+3BpVz+WxoprUemcMAztKMeL/1/dc036xlXfpeNtJHKLUs1zIGoSWxzqVVSgMTluty5dn5oT38Q9yRCSChw3zpvkZ/+8Hj1WW30dJotyUEb0yy+pnRjU0fOmB/VE/WIeX321+LPP9hMzJ564U+cl3/GCvQfrt2DWLnlA7vYlfG31e6A9ACqgectvzHGb7H+6z/cn1HNqY0jWTiuDwG233cZUz44dO95www3p2zZIf9QRJRNI5ZjDDz+c1YPqxP/+979HHnmEUzarUKYKsFNFaB5pdMapahnRQhGQv9+Uv3IRyMvy5fYb1LkUjN39HhBhXSfoNtWjFJsndOWS6EIox35bCtM1WchMcrtYie0mWakaWlIucTW4V0kfCl6jggKV9KaV27KAsJVf4CYdXplfrFH1yLe+MkKyxX4niLpaAyU49af8p9ZdOh1K12KOzq4daztnJmgU59SxWAWX6Sq7tCtTDI0NcaEYpcaVlWG573jYsPJKQ0G8eOst7513vB9/9B3q3r3DDz/stdeOkKwkHD16sa++Wt7ne7SyIFByJt999VW/jz7yuSNGeDtt0L9+82Zuiyj/KJb9xtzNlAuNOCSt7nsg4wrSmCTr6hWg1WJBWwUFCvRkzeUiQMB2xBFHYIUlgpdccomYY593iL59+959990pHbAhiuxNf8ghh9x1111ff/31gQceyBYU7EtBdvHFF19kW0LWBC699NJUl1E7K6ywAjEhmxlSvHSTTTahlSbkhw8fzl7z7E5hSULFyghDwBAwBNoyAhYQtuWrX9GxN8btpmtTb3wDr/UsJOKeFhwewmoHYdH1OfxTQy5drMXco1bpSE0WZUZ081TE6ezm8pRb2ok7TBl4MALY0qKEDIxTiQlrCN5mzvSoHMrxxBP+hoMUk+Fg+eA337RnNaDHroP7U1b0P/8ZAj1+/NRg/3m/EinXjbhPHnxTKv/b1Xv16uxzF+0YRIBBcRq/e17iEu+Ob74oTRwwVUYJv6H+ECWRzfFi/o9TjREzVpUjQMUXKSI6VWoUBe6OYoWqx8aYY0844YQU/7fZZhsJCHfYYQfKz7DDxAMPPPDkk0+uuOKKZAvJMaLbpUuXBx98sGvXrmqHyroIX3755Z9//vnQoUM33XRTEozkEseNG7ftttv269fvX//6lwob0bIQyPjtIYMSYflOkydaQstXFDJyGkVAxURG7NSL5Z3kq0absnByNrJ8JeZkE/+PdhgvKnIFuwwpZ7UeUrPTpkVALqtdrGyo2xrCbDiZlCFgCBgChoAhUFEEFixYQK6vWJNXXnklCUbCP9YfsvOERINbbLHF22+/ve6664asXXzxxSeeeGKHDh1+/vnnJ554goiRoJRViw8//HCWGaoha3ZqCBgChoAh0CoRqKGyWascWJsdlKxZatLL2vQfofznPaH+Q6cZPwmuyQbateXSKUYblHP5wUBYtZVIsSFNakkJn+/qu3SsOVfToV09lw7ZcDT8ltCpz0pR9pudI0Y5XjtPMMl+TQ0PuaURQmn6Q10sdOxQ5334oT/jk+PBB71XX/0pKKExz/OWRGKzzXz+Mcd8uf5+MlPvr39lC4opbDPh8725m222+H77+dSGG3r9+3uyVqtjR8+vticZQrdX5NRv9cBlptA0OUfyiB2hWDJJMySsfob4VX/aDN9s1Y0JacYPPvjgiy++6NGjB1VkBg0alOLvhAkT3nvvvW+//ZYppswdZdeKFOFmabLrWxrssX/3LlPoJA78aJP7JSG0vJMtVAJv68Wi+jqSegk9zxFJ/Fy7azLHK/r/Qp1EDGbptUijWUxG/MjEyORIpbov1FmZ/aSZL2g6XSDNdIBzQYFMV6MphJrgG9KmjDbFhWzNfaT/NWYceZKRpL9Vkc+18r9rQNguR7xQTk4vzzlald9Au6ZdOk81/6RBOYiX1GhOKqOZnLj/v2vS5fse01bekd2GdBUZUHndR7RjBhs3Rr4chc07L53FSZgmpRN79aqpxVcprjhlyvQ5c74P+prieVPq6vq9+CJn3RcuHLjkkkcdNQx61izv8cd7yuaCTOgbPJjNwWF7Syzhw4xZDnqBlg3uG7h+S4YDLxU7l85XdUXcFjQ4tNVtMrptIkAcuFlwZBk+ESBzTbNImowhYAgYAoZAG0TAAsI2eNGrachyn5vkUag1dDvs3CNri2rAUTpkXvmqJQKOPUcjxZAjlUe6hnK0a8al8xTzT3Kq+dyMyoiFDsxFmYFMkslkjZzpJM1ce2n/x/crcOQs+tFeboi0SMBGMVHWBMqm85QFXX+9VSka42v061fz7rsLAt0pnsfW3X4tUc9b/uWXu95zz+KsF/S8Y4/dhrVXnTr5fDKBq69O+f56WkdJL7yk3/rqNfle+QoZD1HUMWTUMjFDwBAwBBwE5Csk5XvI/Y6J/dZxBRzD9aS06nuMsLBiTSeZi/JznJSB5ESy/o+pGG9TtIuTTjFUNU3upSnHqUIXt8x+Cpkvx3XTLQIBCwiLAMtEDQFDwBAwBAwBQ8AQaBQE3HiojPgk6QY9ahKO26c7KFfYpVUm7z5eJGJtxSqrFSNKQiAP/JIstAklg6mYy2wBYTFomWzzIuD+2OhvTP4fPGyVcmkcFw1thZOvWj82mKooKg2a2hDCQXRSmIFA1IGQRsppnquuoXoXc4NJMeE0RcfhmnQE4yFyBSpI541R7cKVBiVoCgZQSx3RXNVP6olyfPCB9+ab9btLLLaYN21azTbDhvkNI0d2ffnlHkFpx/Geh+w0n+t963lDn33WnxVK3f9FFtltt81kq8K+fdmcov6y05W8Ag3fF3WnhiU1ekKz0CIngAqd8o5KRskUI9qj60CSvMhk67SC3iW5Y3xDwBAwBAwBQ8AQaHYELCBs9kvQwh3gzjLLbWjFR6mdyq2tc5sbYeQ5GPU3ZAlP4agRIXz3RVMbQiOKWnENhYTjotOISD1DnQnbE39S1Ghq8D6Qc20lKTYSX/AJ+eP0pfgpQaM/K1TPIWRiqGjlTLGib/p075VXfC4LA19/ndowPk0ZmDFj0O4Jve3ee7P/xLL33gs9JdhwkP0jOObyjzmlP/3kn4weveJqq81ZvickXbH2UHrmXUsp+GK5uE9a8+at5lwSsTLf3aFjSmzTaUU7KexjbpiFJU3CEGjFCMgfggywwn+DrmkXQZdfqEv9fnANuEzXQMY/alcl68CjOq5DTU5nHGkj+eVewIp3UWVIlzW+tLFIWwqUBQXKcq1tKVtA2Laud6OMNu2vOXf7nNRx+X/M7le+Q2NYv0NcOskR+I52Aw0zZnwhi+5pvEJgPTDkyrp0imON0VSxrosylACOIC/v7mCx7aMvcSDNvJRGLqgkU9Op05gxNV984etRVfSNN1gQ+ENgZMFnny0rNWVqDxm09SGHSBWaVe67bxQ7tgUS/q47pBlZMshBPZmZMxcJqsosqO1At1qoBtr3xInKoF1vG8LCUIOvVOjAkFiPCArb7Sgiks9QO0Xo5FtwzlwbyT46CkYaAoaAIWAIGAKGQMtEwALClnndzGtDwBAwBAwBQ8AQaHIE5FmJPn5piv6zPZKJfYQUZbqeFzTsCjPS0GlTjL3sPprhepXtc0EDrXJQBUedKJD+KU9Us4Y8BCwgzIPDTiqPQOgHRL7GQt1E/5hDApxGFV3L7rdjjqZdlZLo2H7UMOqq6DP1BDWXjlpRTs4Zn5GjXVWXVqUQIW4I06XzxGINJUrnqaacYLXAIYMqIOQ0Oy65LqsZJdAhHVhbm0vP0cC5pO0g2Fxirj/l0+vWrUuXHpI4DBYJTvC8r4P+pi5c+O3dd28kdla+bOel2FmCjOAiiwy+/fZazQqyyWC/fr48u0wwzTQw1K7dQq+9v2kFB92qS8KJx0QHo2q+drZDOoi3m/WDFu6pBDfCJvLO8THBwTwxOzEEDAFDwBAwBAyBFoeABYQt7pK1cIf1plLvsnVASbewUUlRUX7IptphJl/unl47yUK4975K1xNJFl2+OCYcddU9zT1ndQWFzuJegww2XTXtAqbSDdJVQ7nDdpwSNu/qPoMIXsFVlBEFW0R4Eyd6n35aHxz27j14080oA8PRsydvbNg3wz/xJ46Onzu3G9Q996y6yireGWf8Erqmd29/pmgQHPqhIDt0b701DG/xxf3FghJZLlzYrr0vxQFDHJNTF9cwX9qE68qJpr0bAoaAIeAi4H6DuPxYOvMXC989UcPul5NrvqgvqpBw6NQ1W4V0Zvyq0PfqcKkQgkmfsabzvmV9IpsOl6w91d/0ZBU3OUPAEDAEDAFDwBAwBAwBQ8AQMAQMgdaCgGUIW8uVbHHjSHqaBD/0eDNJUoes8q6k2Ak4Dllv2xVUMy7hPgtTGkIU/f/0RJpd5Vjala+3kicnJvNYJZ/E2Y8aEynX/ZAPhc24ytEO0jkKSCDGmRhzM3LiQLt2/nMrf48HSsRI9RjKib7/fr35Pn1qpkzZcstdOf3yS+/ZZ5f0vG+CJjalmEiSEHrevC6PPTZggw189nrrDeu+33Rv7Fj/hPmiK63EpFOfbt++/rJC4wRJQuk3V9TGl0k+GkYThTVZK2NL6EIIUCFmRlMm1hgIzJw586GHHvr4448hlltuuV122WWFFVYooaPZs2c/8sgjH3300YwZM4YOHbrpppuuuOKKUTs//fTT+PH+Bzv2WHTRRQcNGhTbZMwKItA8f4bZek36EnK/NMRSCiCucIpYy2rKhl/LGlN1eZv02asuL/GmVX6+y0PZAsLy8DPtBARSfmzy/gzdE9WBqXSC/Xi2+2UPrXaCuaPamN222JC+XNrnOMYbvFUmAmEFMRO855pccdekI+qTiCUe0obBFnFE/JRJvcLWdzcmVLoDc0E/+cR74QV/oK++6m80wTJCjj592HlwAKGd5+2+++ojRnR45ZXlfb6/qYTMHYWe8/HH/i6FHKwT3HjbbT25n+7Rw68yKh2DpLu/BMyAj4ewRcTXjzto1UtZf7Ga97rUOxH4qp7FeW688hF48MEHDz/88EmyhWVg7ne/+92RRx551VVXderUKbv9e+6555hjjiHYUxW2VDn++OMvvvhiYjxlQvzlL3/54x//6HJceo011njvvfdcjtGGgCFgCBgChkA6AhYQpuPTZlqjN7zuPWUqDFHVVPG8e+u8TuREzLm0mIMT25MrL5LKgVA7QUxIu2sjyaTrv9oI2XZlEukMyiEf1N9Em7khiGSKWMamkANoZfEhD8eknpIM6TWAINjye+SotwKPwjHEgRxCk7rj6NFujkfRGJKAHJ98wv33TJ/yFpkxo8+333rLLgu93iGdDjhgyNixS0N/8w330MSEvX0hrw/9TJvmUyxCnDa3U/fll/dPKEujnXEaGxBS1cY51Hd46rPT7vvcwIdyFVy5Yug8m8UoVlZWhtIwuspab5nWnnzyyV/+8pcLFiyora1dd911l1xyyREjRkybNu3GG2+cOnXqXXfdlXFY//jHPw477DCEO3TosMEGG/Tr1+/VV1/99ttvr7zySrKON9xwg2vnC8mTuyyjWxwC5XwzZPtTlD/VpH7K+UMuRzf9QqX7nK5bPa1JmFePh43nSQljz/ZxbjyXzXI9AhYQ2kfBEDAEDAFDwBAoGoE5c+aQGyQa7NmzJ/HbSkw/9ucnz9tzzz2Z+Xn33XcfcMABu+++e0G7o0eP/s1vfoPYWmut9cwzzyxOfSPPY/roUUcddeuttxJb7rPPPttss43akYDwoIMOOvjgg5WpRDeZAq3nRhgChoAhYAgYAoUQsICwEEJtob2ERzoBLKXqNWCqFhqeOEK5XKUblHKU26S0GoKjpoTINSk7Z6jA/2LbtSG26zNBbkdYymhdjeYSTcIQV3KeFnCsoTljpw0KiVTRXcdacq0IrcODEFo5IMDmEjkVaZfZoBQTZa2f3N8OGdK1NxVB5Zg8eZLnydQ6MoyT588fcvfdfkuHDkeedd7XX/vk668v/uKLG8KCHjCgMxnBoAap17t3UEy0zs/71cq6QU1H4oO4kXPGN1RX5/rmtvitcQdDaBBTyhlvnFIBnmorgUJeRwUMVKy5WTqtmPcVNfSf//znu+++wySERIPQpPjuuOOO1Vdf/auvvvrzn/+cJSA8//zz586du9RSSz311FMSDWKH6aaEgsSHLBe888473YCQABIBOC4Tjh1tCwH3u0C/ZyIQRFtcvYh4PCNqJF6uQlzprgQ/K9R/uWZauv/ljL+EsRf+dJVgtJwxtFXdqgsI+X397LPP5nOHN2QIq/OZh1PCpVm4cOHXX3/9+eef85u66qqr9urVK91IRTpN76I1tRb1NZ0urF8EKuZzXG6IVrkkQFUARWhRVyIXr7ls1VCTLie2f9e234WroFaEkCa1AhOOe5qTTzeTkyr7/6g/OUyipt1hxbkcaCQLxXUVDF8aNAzDTF1dLSVccpMzZ8zw3nrLN07hGO63g3yJN3myt/32a7YfMsRv6N27fW7K6IJgpeASwS1yz6ef7rDaanvt9UtEllrK69ixh0wTXWMNv3aMpFjYoIIvFdnOsLYDhWdyn7eQu3EDTrlGaMdp+ObrjxTlnEjl/y/gU+U7bFMWWT3IeKn+stNOO7kD79q16957733ppZe+9tprP/74Yx+WuSYfs2bNYvUg7b/+9a9787jCORZZZJFLLrnkjTfe6CvbqgRN33///fTp0yH5iXRk48mJEycSTNJGOrEHK2bzDwJXlixuuOGGTHaVFiapMigSnr/61a/Qvfbaa1988cUpU6YwhZURYQSxuro6AuD7779/7Nixiy22GKHv73//e+bK5tu2M0PAEDAEDIGWhEANX+7V4C9usIji9NNP5+dT/eFZ6dlnn33cccfxzFWZ6QRzeP70pz/xS8y6C5UcPHjwZZddtttuuylHiEp1GjLbvKeSzSjiskY/AAk3kVHB9JEWK+9220C7VpQWQk+T/FArEC4dRCUoJZkJGVZVVJTOI1RBCbUuvql09DS/yTUgsinveapFaWI0T7keCukr1pKK+4RKKCGajlB8C0GgvJAnJlMhQrT27eva+c+nSAkSDT73nG/xww9ZCkiqxKfZLHCHHbxder/un1x22fT77nvfp7zZwUrBFQJ6SNeu3r77euefz9nnP/d74w3vhx/8Bio1su08jRwkBXnJNwpEbU2w3z0N6owvFeAjw+G9hu9J4Yal6rnOf4qB2HBaAlINhRvCV8RtL0nJMRDVx0uYrq+OuJBRJRVJ1VOpChNFf7NVuP8Yc4RDBEv8Ql1zzTWh5ldeeYUaoTAJnH7xi1+EWt3TRx99lKqkcCguugrbZRY61DLLaHEgXZzqMkxDRYZZptHCpzwtpTLqBRdccNZZZ4kdEpLbbrstRUqJUXfeeedQLVNC1r/97W/kPJ999lm33+7du7/11lv8zrrMYukqvL7RIUT/KEr5W4haifZUDqcUn8rpr+l0K4VcYyNUKT8LIptpIJX1JlOX9Y4X1XNWw0UZjUUwa0+xys3GbIJvyFLyb42Bx4EHHshiDIkGmTmzbFAigh88yrXxs5QxvCEIXHvttYcPHw4Bdv3795fpN/wW8ht2xBFHhDyvSKchm3ZqCBgChoAh0OoRIFNHNMgwCauig11vvfXk95uJKtFWlyMVQZnMotEgqxDZdsKVcWlZQEjWkekzFCClpA2R56GHHnrFFVeQ33MlS6Yph0OMys8uNp977rnrrruOH2Ws/etf/6KEKdHgvvvue9999xHK7r///vAponPaaaeV3F0LUuROMnQzyd1p0TeoUSuVhUB8KtqtUp3Q7ooliu8wBH7xBuo1xNOS1QsqNvYVxoEm6CJ+mI2NXXyvDrfZRu740ErJqggIn3jiCeaugPBee+3FI8lx48Z98803TOPcY489YD799NPR56+xl4MnnZ9QmN7zjj766MmTJ48ZM4b5MO+++y5TYmDefPPNLNBXxUp1qgZbN8GXQPlH0u+FWNZWThu+c+SPn3cOeVfC/V5QZQg9lG4wl5cIUqtqWFVdIqQtVtW2Lxmrn9260xlKscYckXoyo1hUsTIcBUUIfXesC0+Tgv4UUTKB+K3CJAnZWpAX+fwpU2jgxX4QVBJ9+23/9dJL3pgx348c+S2vBx7wmFg3vv+GvLzttuu26qpLeB4vUiSdqR0avCjE4bGCkJr77703ZMC8zTf39tzTf228scd0OckNhlwgTeZ7JS9BX96dgUAqDyL7wUDDhxoKNxQ4T9ITLEtULqBmzWkIMGFSmpdZZpmoXMeOHWWmKL9l0VaXM3LkSE6ZckkARjXRNddck5miFIYZOHAgszTlF82Vl4CQNYcI/N///R+BGTnDf/7znyeffDIh5d///veMz09dmyGayaIY4afzpJNO2nLLLSl48/DDD0t8y/JFVjwyDZXCOUyUvf3223cgce95zGsNGbFTQ8AQMAQMgRaEQFUEhBdeeCGQMaGFsFCXIrBogVOZ5cKKhYKYEkayOxNi/Erxo6jrJfh9JaSUjXrPOOMMtVORTtVaiyQy3UumjUxv7GMtJd3CRi2G1DmVI48vd+JZjIqaWHFNOHTUjJiXfl1avRV7eqpEHj+kGTpVnUJE0Xp5ThSyHtdOj+mdxvcAN/TKGYfthoJKN3SDBPEbOQ1eb77pvfuuv83gJ58ssYQ/n5MVg7zq6sh4UD/jfV7jxo1+6CGPMv5+JX/m4P3ylwM9j9eyLBf0vK7By184yI5t7AgXvJZbzuNenReTTokG2XGQlwSEMl7xvT7aE5b7nhtL6H8RCTGLO9VeUIMudGQQKWTC2iuNwM8//ywmWTEYa1v4st4vVkCYMi+G6JHnoTzKfP/99wnGOKhJc++99zLh869//aurPmrUKE5J4pFFRIUlEiyIYHUfISiZOnYyZOGfK18azdNV/S3GAosMZdoOv6TuzyhNRIa88/tLtdX0vggpU450XWs1BAwBQ8AQaFQE2jeq9YzGWTuBJOsTQmsFmUXD00fSgx9++CF1YtILzDCzhYem2OGhaahffphPPPHE3/72t2QdyUDK7JeiOqUCuPwMs46f392QfZoQYN2/Fg/gp5qfcx70yrIK1uXr0nzSnjzZFQvkMHnyqkvzmRzL72XIeDWcct/sHqFTtylKM6D62+5cW6y6iIlILO0DE9uQMxvzPz35asGRQIdMIhrrXsiGGBNJ7UFkSnmPM+Q6VorNJJ1i3HWhcP3JYepmcnP95cbC/0ISCkJItz7RPlc6hhKiJAFlt3hKx3Tv7gV/FwMOXHqFFXoSFnJ89hmfPObOSSqmdurU2gceGAB/3XX7bLrffu1RJ0n4wQd9vv6a7KN/sARr5ZU9qcDRoUPNvLnt2vt/rfQrbkDjibyE5r3hcAfZwC2L0rGXZSWDcpN1lMGXNiFCMRgZJ9/zsQMWvruaPVZMAkvW4L355pv8XrCcj4UPlFV7/fXXzznnHMLFU045Zf3119+YNHdwSIaQaI2SpKuxNDZ3MGmTeZ78phCwsWBe4rdcY9H/b056Pf/gd5Ns5yabbNKehyvOIb+nMAhiHbaRhoAhYAgYAi0Jgbxv9mZxnCeLPOyk69gl6bIIkJ9ellUk/e6K2zLxhoBK1tCHxqLLMyhhyg9YsZ1iPGVpPjFeaGk+xeVkaT4TadiKil9u9YefbZ7gHnnkkTyCZe4NP/zaxH7ESLJAXzlGGAKGgCFgCFQhAjyvFK/kQWTUQyqcwYw+QAxJyk8A0RRR3wsvvKBmmdtCXLfyyivz+0jej8yhKLL2AcuskNdITPj8xlHxhaeK5CRvu+22UB4v1GnB05BxlU/iq0AKkR4xVufD0NjhyOOt2KbqYkZD9JJdj5oqf6his0iXouIlu1ZS/0UMG1dL9i29mygI6fKVbG3Ovp1xqBtFQaxajiUjFYHmDwh50sl6PxyKnXjDc1OamDiaHg0iw1NVnqQSTXXu3FmHpwS7UAgt6z0q1anajyW4UaCYDcEh76zFJxaldBs//8ceeyzr8u+66y5Shfx+cwdAJTrWZhA9UlX1yiuvjLXWRMxCfzBJf30pejSplhKh4SjfFXZp5P0u/H/BEatAi8uvFw2YrmKO5n/E5czVizJdS9CuYn1TyIoqRAmRjPLVA5oCmXST6mTUUiIn1HVcjy4PO6HTnGu5BprlJV2qfZ+or8wpk0WlHVla2pMb5Hj1Vb+cKJNFOb74wt8lUDLnyy679nq7SbXFl17qGawQnOvL+PsOjnv55QFQ1Dhc8sAVVwgKWvAkqWbcuHZSVXiLLbxNNvHYc5AjyOTXen7usH37WtcNfFBPfUk5YIl/nEJwqFCOLyKuuNDue0iVpijHla8ILV0UNuUOoLC0SaQh0KVLF2lOKgAjucHY3zXXrv5gEc5pNCgCrJtgRwd+FD744APWw8v+SbFPPEWe5RKo8LiTOTVuF0YbAoaAIWAIGALpCDR/QMhEUHY9inrJRMqrr776scceoynLw05WMshihqgp1jbwWwufjQ0HDPBvKCvVabQvl8MQmPDDCsatttpK+EzpYbEHMSHRIHlF1kbK3cDw4cNZpPHpp58y3mYOCN0B5O5lhZflplNvoV0zqiiEnroyqiitchqlRSXvWbJrLkTr7a9ad7vMp1UWtkvnS9Wf0Y9rMnQaq1Ic07FY0JnCll1fk6QFOkcShrxEQz3yidysT18iFGmJNFeoph2NHCwsYm6dxICsGSRYW0ym2LHM77PP/Fmjnvf9zJkdJ0zoGlTX6LDkkksNGLDNNv5cuEcf7TZ2bD/P8xdN8WFkj4mFC3+A+uyzJd55x1shqGbhl4uh2KOka9Zc0596qlPacr7Vtq9FSwYnXgnNuzNiv4/6I56ba839j5RYyzEa6396yeZRhR2IHWCzeFLhgVXC3NJLLy1mCMCi9viS/yHY84QILdrqcmQWzKKLLsozTZcvNNVKhSDGGzZsWFQgxGFTRPzhpyTEjz1NT9nFqhjTEDAEDAFDoFUi0PwBYQjWESNGsNiPp6H8qvFzRW2Yiy66iJraIbHsp8w1ZX7mO9w/et6ZZ57ZjrISkaPinWoPp556qkaDMNntl400qOHGTQAzf/TZMMRRRx1FEysPC66WZDKq2q8GQm8QlQjdJrvxm95AK8EQUNRTMeKeKu0O1rcZ2+AKIdDgk9vQQLtmVFYNu63KRNnly2mDRaVCvat1EZBT16gqChFSD7WmnIrNUHeBfJ5J7VqJQEYvlrDddzUJUSMO0EzQJcUkoGkQBVrbtyP846DqPusEJSCknigJvPXX7w2/C5n8KVNmBZm9CZ7Hn2UHX9xbkc2+Bw7c8//8gPCJJ7x77x0wZQrtHDM8b3Gwh2JfboqRjvppMegVNtjAd4BaMnKIG9DirvgTrEAWUh1UkXrFRv5P/crrRzHN49pJC0CAgJDsHysAmfoRdZeF5XyTw19ppZWirS5H9pfnJyB2kbyEi8izTN3VSqLFSMaJnZXapiLJGeMbAoaAIWAItBQEqi4gZGcnpscofEyqXF4mgCmrGIJJmKy+oHw2SkSVRIax2pXt1O0iuiUxwyEg3HLLLfWXXuQldUkys2BAyN7BbhdGGwKGgCFgCDQ9AhR6YdX3S+yOEjmUqcVgIiL1jHXWWQeKZ6BsbEhlspCY5vpWX311mthkgseaRH3PP/98VBgBkY9ujRhNBlJfjaqkoe7stHERcB9HNW5PCdab3YGoX+pSqU/HXD01Fu2nWTjuY8mKOOAOtiIGG9VIxYcf420UkeiHICoTY8hYXtUFhBQxY44lERpPWG+55RZiOaZZsoiC+itFXS7qoTHRlI0r+CEkK8hKDDKNmv0ImapUpyGznMp2Fy5fUpRJfFcyiQafpCb4ReQPi/ljjf6JhXzwjakQhNL1f4r1KSW0tEUtwNE/WJeOFVathqvpWnRpNao6cURIynVAjLkmxYArE2NSFUJyoZ7QhOMKu7a0ydFSWVVtaHTbaJbThuZ6RoQddBnSdfJ/0hKkOhquUbBzQ+6CuhlCpEkCcnToMP7Hjh9/7JOvvOJPC5U7T3bbptCGODVsxRVZNyhWfmZmqRes9vO8npMm9X3uuZqgfOLuu+9GXuS22zb0DXlMFu3aqZO/cGvJJf0lh0HNDm9Gp15kB2sXBP1SoknHQjc6fJh1dQ0fmMCcvKlIg6LTGiWR1x5oFXWXE1UpzGlworBsk0lUpVNNNvpMHbE4nICQx46EYaFMIHu4Y0J3a0gxt91227FCnjoxLBb44x//6Ery43XTTTfBIfaTqacU/2S1OfNR2Vrp3HPPdYWhH3roISppQ2y00UbSpDNiqD4aKtuWcXffUBd2aggYAoaAIdAqEai6gJCdG7bZZhvBmijul7/8JT9yFOSEkEekBS8DP5bsy4SKrOmndBtrEXlPUSy/0yTjsfegCCfxk+y4fMXHZZZOu3e4Ge4B3XvfsHhw2+17ogQ0Qr6cP1NX2K4FXzgXFqm1qICIwVcZX0tWsrnSQss7otqUp5aLZMSovueEQ5cmx24wphpC1NsWOd5VwZVDKOeD257juaI5Gjmn2dUSifz2gOcKqW5NfXEXtxFpf5gS59GgbRA0BNOqaedMRHhXEdnHr7a9A6NUymVbNhZNyZTs3r3nLOgW3Jp6FEckpS0VF5nsWVPTW5b4DTt3Y2/o0E5BdqV22rQ5nidV/An7+rKz/PPP4+T2l+7G8sCff/b7+uKLvt261e8owWIrXn36BKOW4NddN1jP1s9ecJ4bQOj6+m25JtUzwhDIggBbJbH8m4XibN3+5JNPakkYojU2i8fCH/7wB9cOoeMVV1wBh8d2hx9+uDSxBz00paf52VpxxRWxKXwWO5x++umSadTnofxU7bjjjv/973/ZR5dCZSxEF2HekaRcGcSWW26pM1N48khMyMQTNundeuutdVYqTxWrarG6jsIIQ8AQMAQMgWZBoOoCQhcF9jviKSYBIUymymQJCJl1Q2mZVylgGOxjQVZw7733dm0WpEvotKDNaheQe/+SvESVl39wVy0vaDeA4JQgIRc+qIiv4hz1RhyOkHqvDqFuQhCWSFP9/b0rp3SSUZevwvTn0GIWhnaa3+57J2ZExj/nEAtqx+0ov7FBN6oVWGp4c4yoYVoddj74DZr1QiGnpL1BnWZ5aUN9Wy0M0WWNnl5S/2JSKTQICGto+P77+kqh33zjL+xjM3iOQYN6bdFflhYSJM6ZwyLAnwLzE95+e91FFukBvemm3tbrruvvR+95vZ57bkqQJIRmpdTCSZNqWXpIovGDt7fcch0JSilESlnHVVeFTSDpERyyf70cdCTXq1acE6dpaxhkvaT/n7Y6vKJIseqaiXKKMlhZYRyLHXdlezFrIEChUX6h9t13X7aZZUtAwjMCNqb0y6z+XXfdNfTrQ5kxyomhSB01DQg5Pe+88x5//HEWkB9yyCE8vtxwww15molNkoG0Esi5ix2uv/76t99+mzX2RH3MbWHGKfEe2+oiL6vuEUBLDpYmspfvo48++sQTT1CfZp999iFqZYdD6l1TYg2f2Qg3J2v/GwKGgCFgCLRdBJo/IORRJc9NeUpKLZnodWCXiN69e7PoLsvyd1ZE8OP33nvvscE980VZa5G0B1QFO8VnnhBHPTeOIWAIGAKGQOtGgBCLff9OPPFE1jiQ4tPBEiUy2zMmHa0SDsFvHD9J+++/P3vTE+xxSCNPJ9m3lu3pXTsUjKEY9dFHH83vJnlISUWKPNtOEA3K1kpqnpUX22+/PT+LVFaT4mo08XSVZ6x/+tOfVMyIpkCgqh4dNcWAm7qP2Gdh7sM7cShWrPF8jXYXdSml96h6inAjNlWLH4WG2FL8LDSOpm9v/oCQ31GWCDKV5YgjjtCdnRQInn3yc8tpweLdyPCDys8eWxHy1HMLdiRLPirYKVXmpLx4cm8toUX+hMpJLqDLS7JCkk6S77zAcl07/5MGQxNNnOqfrRLKFFXe5SUIChNa0oNy6urWdyDS8q7NEELnplDSXt+odoXgPafFfZjbqLTYltN6wwvr6ruVfFb9Sa6PwI7Iu+8MxO9L7UIILQ7Iu89Jmvap3eSShA7DJ/1SEg26Yhu2ANhwl4nP6nb9eDzZqkFUaGRaqHtt+/Vl0Z/nffWVnx5kW0AOshlMEpUNBL/7rsc66yy++NKwg0FMYWsJX8Yb43ndXn11bainnmq/9YmbecFWE8s89xzZPkn48UHxU5NSU3HMmKUHDtxii8VgkBXs1cuTTUZJBDIEhQcnxf2adrU17XJ46mhRFlGI2MOVdAVcLZFxOa6kQ2cQcaSFLGS8FJuRTmIYhfpVFRxIAkll2ixBro+F7qT+Pv7441mzZpF5Y22hbhfhwsKvEsVg4ER/zpjbSeLuueeeIzKk3AshIjNCN9100+hqc9RpQpg85P/+9z8WBzIplACP/QlJLbrdCb3EEksQYT7wwANEmzxXXWyxxXCDLe95WsqMVgpfSz0zESbfKB6yDUbIFJNaeeTK6EJ81iuKiq5XDAnYqSFgCBgChkD1I9D8ASHL7oGJ0povvPACDzhDkPEQVFYfrckOY6nH+++/L5sW8lw2PRrETLGd6q0zsd8KK6zgOnLnnXe6py2e1vu+4CZU7kSFpy3hMUqDBBVyY07oACF8P+jx6vw3n6dsTjGu9oXwhfIPbIgZIVQeqXoVdyWhWBcFmiXuUYOBAiLukZvKmj/NVXTpIjCuDri6Idv1XoYcqHfR7xAjoq7eCbNBRCW0wRX1bfhGeKlKAy0NIf8CFdHinUZeoos4R7vgotR7Jrq8B9fLb+YhTa2/nzsHJWGI9Yj+OKgaw85/m2ziLwrtQ/PXX/v7y2N/5MiJnrfE2LG+ENKbbDJ48C8gg93aEJ7v870pbC7PFFGol14a9OXRSw8M9lDp/OST/V9/3Q/7RI4d6pdayj/B3enT+y/XE3KppWqoIiM1a6RFPEVERg/THxd/q3JRpQGuHPXc3Kn8L0Dk8xrOpDVWsUGogUoXTG/1rdBdYaGG7pqYwrV0tJrYn6rqjqIvJAkLusSE0mHDhiWJ8efG+vDsS8SzC2N5r+AIdc2SRQ6XSbiY5GHsNono9urVK0nFtWy0IWAIGAKGQDUj0PwBIQ87eVzKiohTTjmFCt0srlC8pk6detxxx3HKDg1ujPfll19S2w3+Kqusstlmm4n8ddddB8Hzy9CyDWkNvRfbqU7CYemFW0Yct88vsvxpyJPqPY3cnnJHyAFbW+oJ/pMGwgPJIpFOgpZgIoicFvrhg9/IS8Q5xSCpHg7hiH1597m5vsQM7/XdBYq0iqRvgQYVEkKbnfBGRbSxnpDu1Uh+cy68qO9EZF1XhVM/BvFShXKDEdvigDbSj3Ql8YtvQV7aIERtrahzJua195z5HALaAQ3ShmaudowE6TmTAr5zRUUXIa6d6C5YMGthF0rCcBDxEQ2OGuXTLN4jWFtiCZ/u06+bx0aCQRDItOmxnjeTHqkK88EHi7766mq77gq91lrt77kHaaJFDmLQGZSWgWLrbGbGDdxrI5+92261XbpQX9SnCftIdARVRlmL6HXtKlFgu3YdtXBM0El96KoDRZVB+Bc8YAnfN9g4B/bFjbLM+xeo/vr7dtSiy8zcgWoX1nBFQz7kK7uOuHS+lJ0ZAoZAZgT0D8n9M8ysbYLFIqB4F6vYePJV6FLaYMtztzztNL+srbIINH9AyMQV5qKwHH/kyJFDhw49/vjjqd/NXTjTb/72t79RJIYBE+wxhUZHzkIIdhfklHUUGhDKuguZbKOSUYKZNqT4iu2Uh6AEn7h01VVXYXO//faTpfnDhw8namV2ELNxon0ZxxAwBAwBQ8AQMAQMAUPAEDAEDIFqRqD5A0LQYcUFeTYqghL+sZ7QxYuEIfW1WbjvMmNp0obwKdXNDr+xAsJkUwohiu30n//8J1lKir/9NTjESNeuXVk6Qh3U1hkQ5p5fSpYsd+YPXei8Bz+wJL9EMyBLkhAaobq6BcEHTdiqSzJHLEgaT2h5174gNHelTJHX7KKfYVEhIaRf3nOduXZgiwX/HWWRcTNoSIh1vKlpJ+0YlpfYhimuxqQoRQHrSAQ9kTVDlx44xEFxgFNfSjtAQuj6hiB35HMaRELt4qavpR1Ai2dixBkf5qVFRETXzz+S5QuevHhjxvjpOBEaPLi2/8oTJmDFzxCSzRs5ciZ0ly6dl13WW355n7/esct3YP4o6sGmESQBgyH674NefFGmkm6wwYZ9+/b4/vv+voL3tect6nmLQE2ZUvfVVzVfjOYaeIOHDfOBkI0FcYtNYpg1ytG9O/VMBRPYkOIaY9VRwhGmL58brNCa3W1AVRqKeteexLrbWVF2koSxX6FDXCvFnjvGCjljZgwBQ8AQMAQMAUOgpSBQFQEhYBEHHnDAAeTfyBNSa5sMHnlCimIzZZR1FyE0V155ZdmTV5YC0krtGZZw+BU0Ch1uprGoTunr888/pyybuzT/pJNOIt9Iv8wpZctg7XzgwIHiIQNRphDUzqEUKtUCQvwhQ4aICus9Qk0VPw3h1HCLC6VtQjTcYwbBSb4riPCqb4DSmGTuXD+ukNib4SxcOC/4oMGGJ4Zhc4sv5kO0bzMwCsFL4igNMHFBEBK+v/cAQhJmwRKuCDnDUdekHQ0OvxeVUQnapPvASE37+oAQRXWeFpwXN3xT6oDrpWNH2qVr3rVPJXxvxAEZiHQgbgQfa2GjC5Fj+w74vUu8KP6JHfEsMFJTH0/5igRcUquFCI6aEf36+bq1BIFMDJVd5D/6yOvUyd/egWPYsC7LL79gQWdI5oSOHDnP8z6AnjGj98iRPV57zf+rZL722szqJCbEhylTZgfzQaH9abz/+19NUCxx48M3ZJfsl1/2O5s4cVUe2rAeELpXrxqckQK9g9dey99EYhE/UPSDQP5qZAigzCGDXLBAq1bk4eZL1B8O5Dlk5NOZpJBTbNT/5Xo1ahdm3BAwBAwBQ8AQMAQMgZIRIPMQ3FGWbMAUqwyBXDYv7bJGr3nDPStt0WbGSJ3MIPQjrlARtLhvJ+DzMSAC5AZfAo5Zs/zgg/gvUORG//vugyHhSVAEjeJ111103323/uMf962xxiqEALKtXK3fT43EP5jEhpiBlq7RJUxAmMiFg7KTNXNme/TIoVEotCu0yCLzFrajkQMH8F8CDYz4Abt0oM7RDQOT9WodO9Z1XETGRLv44Fvx/HYJ9nGjQ+2C+oGLA4KmOBAEOfO99qKOoiAgDmCBV3spuCIS0izISgcdO6IuPvKO8zRefvlFd91165133rfmmqtgs3ZegLY4iv8iR0OnTnN6LMEOfhwUAYUIknk++IMH+yv1OPr/9I53773e66/7J5RABFCW7XHsv793yCGPfrcmJGn7d9+d4HnP+ny/JEyn5ZYbBnXuud5hm37OFGroqe+++5rnyfOPLhQF9bwespHMYYdd/cLqI0YgQmVRdplfsOKKfphHCnDPPb311vP5K63kdVw4u/5CSFCtGAqMCIF4+/YCj3wS9HOKrIgjpbQSwuQ95oOtJvzm1EM7QCpHZ9TOicfZTzKRoPP/7J0HnFNF14eX3kRQQBQVFVFAEQv2gr333nvvvb2Wz67Y22vvvffeuy92BewgCoIiCChFmnxPctjDcG+STbLZTbL554fr3LkzZ2aee3dz//ecmUlX3ExbJcqkrm0n0plIXSdVn4uUl81ftiJ1Tc0WgEDlXt90v5IFgFpWJkr+T1BZ0Zy7s3nfY7ooc4Ms4lE9/IUsFQ9hESmr6aIQ4E3EPffcNGrUiH/+SWq5onSiPBsF3R133DRy5AjWuC/PEajXIiACIiACIiACIiACpUJAgrBUrkSB+xG+EKp+x+N5JDxt7VqAXqIgzhf+8TEvjJ3mBP6ZxgnHDv4b98NRBP9N8+aJGNdWzXF0zaiaMCFRY8yYqnHjCC5MpPm0bz+iQ8JDOH58oq45xx57rD9qkEy8WYQvNv1nYtWffycKI3KaNm2cdKy1mH/+GY2bmVOLmaHugMQphx+LXen4kG5CFZvrRlHSNhhOsCDmggtSZtrMJqNH45tKlDcvmgVF4gljtcwmuOb4UMI6TBf5WIm2bRt16TJ1aiLu0CxYdVrgPLGNfLDQrGpa4jQf9sykD+ZdZFTEUiZ7OW1WU2IjkxtqJs5DwKIjWVJ3/vnxECY7ADS2d7DOUAIjnOPTrt2UWfPYApyMkuoPPtgfNcgZ2gQ5n+bEdDKHNrmn32xnaefOiRPLLTejzQKW/eGHVW+/PXv4uEbXXHO2+cUWaZUICf38c4r/iKnJk5vSBlulvf8+K4Qu1ncF0gYDLyDp5DzBxr/88hepgQPn/Xvnpdvi4KOb33/fYdIkm0PYCm8cWdbpIUPWWaeP3W8QGzeuyRJLcC6xgCguyuSmFMkr1qjJ7DuDc9xYdtPy064mmcm7trHtMhIUIdvKUsQTpPmEpxLHdtq6kjiu7Qd7hTNW286ovgiIgAiIgAiIgAjkR0CCMD9uJV/LIw/pqT0HJ3cv8Ii7UO7xyG0SpmnjZLShiR6EmpXGAgKideuZLYgETCg+tB7KhQ8FUS62UcgiizSZl2MLT/zii6qvv64aOTJRCGG25JIvLrgJSaIWx4yZMGnSJ0OG3DZ8+COJs8kn+6Yjf0ksQGJ1UU70xkRDnz5tVltt4K8Jwcn5776brakIpWR75JVWSlRH1LVjFtxnnyUOBg5M9MwkxGKLJSIRk6Ltp5FtBwxItM6HTtGjpE5E77AjZdUCo39OnGDCGzsh8EG2MioTVLTRsuXwkQnpyZiYYYdq4wNROrjMMok0s0FbjR9R9cEHiQOGQAMW6snmDOydkIzL/H1qK9ZY+f77RJFRoxIdsEVz6QD/2swkGjM5QqCZsMQCYpK1Vfgsv/yIifPQ+uTJE1588ZPPPrtt2LDZ6Bh3UrtVNSfFCN94I1EeAvSfkFA+LVq0WL7viIR4rPrqK4bIZUuKz0Tkaqell07kb7xCR2TlNEad3CKwuWm5qqoFP/mk8eefL7P3vuQncbVNzg3kCMHMv1Gkvv9+Xq7L+tbP335b4o037B1AM3an4LRdiKlTuQ6mc5F/3Eq2tTUEUPUczv6YBuYAuNyd9iFt/+xw1izbGZI8bIdijJwMn6gyzFA05an01u1M2JOUBqKZOVeIGtCxCIiACIiACIiACBSKgARhoUiWmB1/pLaH8mTvyDOJh1uJhBXhiZZH8dmlmL+HDrRARKQGafugYJo0+bdZQhDiZ8NPZQ45XF5oN9uSDmE277/TJ//wQ2vETNIbNTHpkuOBv8VSS725aMLQO+8cOGPGHWbSfyaejdncHDFj09jY8A6H1LLLJgpwrmfP336bj+RHH1F99lqYCAmklsmuvn2r2tEb3Fl8cIGxJbqdQOoxwrXWIhuNxhmkCx9EHY4305sURBQtYMIVSZnc3DJRGhzWARK9ev3xR0IQsrHIiy/OdnpBCKFnYowVUxIq7r33EtZNtgKUD3oRGbTCCiTH/pk4n3TCJRZwmW++2fuuUzDRk+l//j15cpuPP2787ruJ/vFBZKMnbS5f166/jV304osPHDgwig5UtqRue/r8zTcz33qLqpMQYuhku0LduzedOP6vv9qTD+Oqqq+Tq4GSmDZw4LpfftkykTq8U/MWLUyB/Z3UfCYZEaldBg9uPHggZbp1W65jxzZjxixAOmmBFhKlkMdsTri+TQQcO7bjsGEd4c+HG4Y5grZqzbzztpj2d69eCYXYvXtC35ka4id05wgqDowb5bwQCftnmfxMVrZgeo7iHzMYz5+T48bnZNVVqubOZGiZkcbq12PfM/RMp0RABApHIPZrXjjTdWDJ/nznbbi8Bpv3MEutorCX2hUpyf5IEJbkZSmrTk2bNuWFF2465ZR7fxn2/d+TJrVv1apHixZHz5ixdVKZhENp1Kh1VVVXnvfJbNbsn+nTfw/PVmD622+ffuaZKwcN/HDa9OlNGjXq2bLlXjNmnNysWVJQzsWjadPW8867GEI0GSP6z6xZlY5uLjo6EAEREAEREAEREAERyJeABGG+5Eq8nrv/SOB7SX54tWfZuAeZKGdpzhC2Nztyr/GshOAwDyH+PUJA7cUSFdq0sTeDuMXwC1kUIrGj06aNvfvu1UePZvbZ7M/4KVMG8K+qarOqqosxXlW1+A8/DBiZODt9+uFVVbsyJS2ZHl9VtUEilw9upQ8/nJgM+/yD6Yh//rmgRU7iURo/fsyYhIeQaMqff0YFjSb9zz8tPvpo6R49ElUTsYhEmeJ3I9hz6NBxrEaZDE9clBBKYhOT+gljOBgHDeIkn+/GjOkwZswipFZaqVVizqNtffDtt38lJ9uNT8ZMLmYuR7bb+/tv88LhuvvxR1rHi8ZnyoABvZO7LSTdqMRbJt1//3zxxYjqlTa7fPRRU0Ikk/G3RHHSwU8/NY/rF3/8Mf8ff+Ax+89XX81x+s2cNWvwlCmnV1U9On36bZMnLzNyZIukdxFfJHPxunS5jn/PP0/vfk5u/7APncDpxyVIfLhYw4bRNJ+/kv1fkmmBgGZEo0bNmNGedLIkl2Ei6WSphQcN6k2KIn3at2+ezMVZ+091UClguhCJSqRpFW7O5ZZfvur115dMlvoz6SRMePy4OxKhpuZN5bbgn3UI3+YiixDsmijfuze31zzJBrgy4Y2HR9BfXCb8YXajZngDnSjUyNpNWM7lU101lzpFLJsBQvpe5VUpvTmdEQEREAEREAERqAwCEoQN9Dq7IKxWgzZOF4RIPP7ZhyKzxSFPlCgoixRFFpoypBAlpk+3x00EDiLKNBQ/X3/9QNRgkybN9t//zKO2WbHDE08MmTDh/CeffL2q6iUUV1VVv+RO5JMmEYHI53vkFzvNJdOJJ/vZH3ZFHzTol+QB5ZAajZOibgEEyaRJychTi3j8Ce2YLNV8ypS2I0cuRDqh+BBMyfmH1B2DIEyWaDN58vzozGSnUXToyWTr/BxUVdXZVM/PP/dOGLeFcIYMGZWsiAV0UctkujOSa8oUWwyGvjALEmGVPDN58uTOI0Z0Ip3oKVaSEwTpHHKtdbIEXr6F0c3JuFLOJ2cwUp0PHViwqurhqqp7OOjdu985m66ywuKLD7v00nuGDyfrM3Z8qKp6sapqiaSoo3uILovETHYACMMSZpKhsMmpf8mVef74g57z+Ysjm8KHBQI6hw9v1apX8gw/JlUvDIOoG8nwyUoIwiWWaJwM/G07ejQl/k2WnsFPyCT7sOJ2if0hXn99ueQZriDUFiGdWJKnSdW4f9uRng/5xy1ldxLxrsw7tFV3WD+n0WytZ1NV/cZD3PntyYWaHQjqWRhN5iYbTfsDI3Znpixhp1x2RstkrhwtXevjLIZT6zZqZ6D0e1i78am2CIiACIiACIhAnEDTeJZyGgIBf0YmUZ32JA/tLgh5JOawukhyjZekVy0hC5OqLEGDZ/qZeLASSbLROLaozNix04YPf4nMtdY6Z489/rP8wt/zUL9I+/Y9q6rw3uFi+gjBk5QoSR1IQTTX6KqqyQlDST8h/0uYnTBh4rRpaBQ+qI1/qiXjAii5adOSPraE86mq6veqqt+SpfA3jR07diHSCXUxefK0pGgbjzasFoS0Pj96JtlpTv77L2esLqqNOq2o+8cfvRPGTfCNHm0dGJc83TnZTGck74wZhiHpJ6R39IEPumnsn392SqYTonBq0giNjk32n/y2CMJk/0mjrP/8E4XF2PmMwJdZVfUQqXnn3fHssx/c8e97SS85efICyW7djBOzquqRqqpTk2OmMnpytvBLWKADCRZ8MG8LeSYOpk0zrPSMBKPgswQ6ctQoW6wUp92YMfy+M3Y+dOZvU/UJxde7p62Q03n06PHVl6clpXAcJ8fFTEumZG66aSPyfv99gXHjFmDJHj6sucMcSFuWNTFj0BQgJ8DOP5sTaGosKRSbNGlMtmVYwtL2c/YJDtCEnLbP7HNJd6Snk6fsyA1as7NrZf4fNUP7nk5Za+5GZ3cyZclsMjO3lY0FlREBERCBYhGI/D0sVjfUrgiIQKEJNC60QdmrIAJTpvzy779TGXDHjsuEw25VVXV8VdVeSTUY5itdTeC1pBuvSefOl+Ncrc5M/H/T5CRLEgnvoT4iIAIiIAIiIAIiIAIiUMcE5CGsY8AlaR4vhf2z3s1xWliuRf2ZG9FeB5K2zGoPojmFGjdetFGjJrNmzXzvvfO2265P1cKJaYLY5L9ViSdMWp+SlD7VbjPcV/yzu272vZdoYepUqiSUZbIcCsnSCc/a9OnmsEzmYczcYDi4ppnjLuEh/PffRKvJupRonkwncqiZDE9M/sCk1Z2YjHhMpHEPWvVEjalTcRYm/p90ok1LphPOUIwnrSfjZylC//lQffa28Al6//5r5flJCRtYYghUT8JNBuFyxoZFXbxyfJabOXPxxOisgYkTOU2hflVV91VVDeW87Ys4ZQrsq5211vnZvaNL5t1M7OTYpEnCf0dfkv9ml8DCn3926Z7Ix4E3bFjnZAscMaQWs2ZRFrdh48QeFX36kO761lvzVo+wE8cWEkoE75jRvXotsMkmZCXCSBnOoosm0kxyxFVoi6HOatqsEcu/2liSxOd4/Cia5NCo8ZwY0UT9pNvPEnN+xt9Ax3OSFZMm59RLbS04b+VTGQsKlUiSXsaHV1PfymNoNY1C50VABERABERABOqZgD271nOjaq7IBHhwtH+p+2HPlfz02VxBacu2M82atVhyyeN+/PGK0aM/33//Hnes3HfjqVPXXmCBpZK7F9i9xVS6pFDh/3zIQ+7xj0/gnW7alNNWnnMkrHRiUwvvQ6K8nTQ7jW1CWuI8qjRp0Yx42geZLEm2tctP+5eIhE08dZsh+pDUbZSjw7M7ZztYmPEmiB1ONk8eIahYFjSRTPxkjlwyl5903gfi/U/GTnLSOsD5McniCxOSmWjcOpA0grEFk+dQhr/NnLkgp2bNQu5ZW9UErA8JNZuUqSi3+di3cJ5kReQmGtn6kJDxkybZ5u8otw8+WDw5OMq1rapaqG3bRK8TCo5zbN/B7MdVVmnNfhUWqormQ/CxNgyfKVNYXmezzRJJiLEtCOj42HJE1jfyGzFOkzHV3U0U4gpVH/J/P7KCiQLG0FL+s7qKZ7iROTnJFAVDU/GzkZwUh95WxJDnp6hTQ1YtqtZgWadFQAREQAREQAREoLAEZj83FtaorBWfgD2Qzv1YypFn81zuT7/+jJ44zYFN/bKHfRsJsoT85Ickm8whCfi0bVu12mqXLL54p7ffPn/69ElvDRjwVrIMymS1qqr12XcuqWBaJzLbJ8/Mn3RftUum56ga5p5RxXInsYde9RzCqg4daMy0R6tWzaZMma/ay8d9O69NWEv0q1mzlsk+t505Ex1lqivRQeslOifRA1xfnZLt4iVboKqqQyJr3uRY0Vt82rdvm1wAZgaaxyc4sns6xlsmzjMTb+TI9sn+c0RWezYL5JNA2rx5myTZtrNmkZc0l1w5hw0Hk2IPCy1btv7nn2SFRDf+TNSs6oqFxOhshB07th0xAqGW9L0lTg9r1mxBhoDxJomtC/mMHEnP/0pOQUwcJv2CiURi38IuXTqwe31155PFk/ksocOIq9jQEVdet4kTDTMdWIgcPlQd/3eT9qwFymerrRLLhCY5JFyKlGA3RT7t2rVuNatbN4aacA+iIe3mgXpy3IkiiZxQEPrtRYmgkG8hSB5F/IwnZmdZ9Tm5iSbmlE4e5fpjLmN24J00W3OVSGW+xgKpKtVDHv2KDKUuGk15TeqiIdkUAREQAREQARGoTwIShPVJuwG21ahR07XWOnXVVY9q1eqlHz69763XXvsluSH961VVb1RV7YfEaICDrv2Q0H1jq3ewiFpDEtunnSnz6kP9XwREQAREQAREQAREQAQKTkCCsOBIS8OguTL4Ocf9l+iY+fkQGtVTAhNOlzl+HjuwOEm8Wu50IN2smZnEm4VjENcdH4xQN7mIZZu1195xpd2Wr7r55mETJjx9990XTJs2JjkXbgdzxlV1SVSoWjLpCJwnmbYJdcmedOjQeMkluyR3ZmiS3LZhwWSJxEy11q3Nz4e/asgQnGfm/8OttjBbG/BJjIgeJFe97DR0KNXtnk50sJO5BM1/1nLkyMUTFRIT+fCfdSXFFDnGkvyPbRQW6TxyJJn49/B14YlLfIi2bNXK5sjRl5Ejl0gGW3IC1bagRVMmOkAJVtvEFzd0KNbpHJ+O/EeJpPsRFyUhl99+m2g0uQLr4klB+BdbMyTOT036UBdZpNOIEX9XVX2cLITVbgwK661b00e2VOQzePCSyWjWickiifHNdoKyJeKSSy6SzMXWP9Y6hywPOu+8tsoomwVuuikbSCbAjBvXAXqrrZaosOSSibjT9rarI/5MJjWaS5RBkbCbgas+a1bjxgkPoalUdxbRQbsxEjmkEjiSH795yLQSyewgGWbPrpTf/7DprYUWwrbC/EKlaTRlEykzC9Wo7IhAAybgEQQNeIwamgiIgAiUIAEJwhK8KIXokj2X82Rq/5ImSVo2z/Q8y3qRICA0EX45O4IREZMMd0xURbVUC0KyERg2dW3UqHeGDPngjz+abr31SYkATiwusMDiCyxw7PLL9/r4402TS5egXRZs0aJXN2Isq775pk9yQ4REulOnr23bg4R9dFffvgskjc43cmQz7Nie5kk9Y9GSJH/+eakZMzonylc1W2aZFkkNmBQsBHYmIxvZ96/9tGlNrAThjoiw5BDQXeya8O67i3Fm3DiCSdsvskjizmff+4QgNMHUs2eX5GaFHSdORNq0oD0+3bohuRJlqhILr3z9dbe//144cVA1pVev5kgpPokW0GPJkMv5J05sPnp080R2VXP6R4mkIAQO5ydNSoix4cP7VlXB4dPGjQd07fpP27bQaJ+osNRS7X/6qfvvv3+VOKhatHHjFvSPT7t2HZpWmV4bNKjz8OGoWaAmPoyPlhMfhtCrV6MNNyTZwTY/REDzYdiLLprsQqIvCEJbhIYbADHJ4PgAB1X5b6tEjG1jmmGlHVsYxuS+3SWcmzXLpSA3kr1QsDuKn/ZJCKSg/GyVxmn7N7vUbBEVkXBuZHYpOw4LRUtUm0v+P8fic9Wt+SB902EHa7ZToBI+WBIF7kD6kRao7zIjAiIgAiIgAiJQcgQSj8X6NEAC9vDOwHjCq37I4//2uG4KMHymn/0Yz/8QhMkpd4mi1et7JlRXixZWBvGAY82k4ldfDX3uudNpZJNNNm7XbvmqKU0T0o7PKqvMh7obNIhkd1xRyy+/TtLBxSy5sWPbms+pY8evX3stUTbRU5RNv37m0Gs2alRCkSYdbomlL9u2Re7xYdETOvDXX+jORHdQLibZEmqHSXKrrpoo1KxZG/bms/GiptCEDIfZcguxU2LCT8hnyJCOGGQIfJLmq+fYsYBKUgg1R6fSJ/Qfn+WWowPmaFxxxcT0uQkTEv6/SZNacIZ/fBIdwNwaayQO5ptvHjawNwWGexAVmHThoWmRZtaBr7/uNGvWnh9+eOe///4+duyt8813dFXrpMqlgUaNhg8c+PTnn2NpV0aIU49Phw6dms8WyIi1UaPoYNMPPkicwbx5DhOCEElsQo49IiFljaECkX3J/O7dm6H9/JJS3S4ihPxmSVS0XE5zf3DIPz5JpJYMMmafqb6/EuJkdtr+5ycSBas/1YVSnqwuVP3/jIXsZKiI4jnVhvR/ERCBkiYwK/xNLume1qpzX3/99bLLLrvMMssMHjy4VoZKvvKgQYOWW2653r17Dxw4sOQ7W6sOfvXVV8svv3yfPn2+/PLLWhkq+cqff/75SiuttOKKK3722Wcl39ladfDTTz9deeWV+/bt+8knn9TKUFlVro7vKqtOq7MlQmDppZMyrKrqkksOHT36N+/VT3/9dTS6iPDKRo1WMP3n55RIbNu44UILbQyJhx464d57r59p0ryq6u3ff99w0KB/0YDNmp1uq7kIlwiIgAiIgAiIgAiIgAjUJQF5COuSbhFtmx/HOlDtZiHPkiR4G+svZMmcXZwU+s0OcNNVC5WEC6l5c/MjEf2ID8miLBdffJl99jnqnnuuHzx4wAorLNq7Z895mzUb/eef3/3yC697CSS8e6edmuKm69x5kwUTXVlppcTWemYHP9wcDyH+wI02SmxywIegRhqwUMiuXac2amnBj2uvnXDamQ+MDuKTY1Ifn0Q8J6l11kkc4DSkug0SC7jPktPhsIB5c+j9+Wciz5ygOCYTA2m6UKLummvOdrclN5+Y7UPEOdiunTW0+uqJKYF2kl0B8Tqa5zDhAmzauWrddRNG8OnRQNItmVjDFH9pMt60c/Mq+p+MKk24Eqmy6abXnHvu5n/88fN55x19+WWtlu3Zc9hPP/0xfjw2WjdvftPhh7dnRBbTufDCCzaZ7QElgyJ4Xs1DSFytOTKrmrdNWDefKYz8inI1GW0SCEk8l7afoV1YuxD85LzlNIasewjt/rCbIWkh+SN0GSZGzMfy7efsAzsR3mGWE+bPrhCeyCKdRa0simTREEXSGLJhpTmZneX6LEV3va9+RcIOcDZlflhGaREQAREQAREQgYZLQIKwgV5be46fe3A8+NmToT8fzn0++QSMHjBJwDNi+ChZPdkfKYWu8AfIG2+8vGvX9tddd92ECRO+SMaIms3Vllvu7IMO2oJITYo2b74qE9+SW97ZjuWk3Q+PUJkwqWnLxXs0W6oH+Y0bJZ5frRjSZtrU2dKMqEv3mTE45KoFZibEF0vcmMJD7nhMJEKHQkltNl+rf+dZLjE/jo+dNzw0zb+qlsn4UWIsbc4eHea0iTp+tmw5f3KOHCqOAEzXyJxJ1E1OuqxqMa9t7J7Qi94BMCarU2beFonzpmY5D/8mTXptueWXJ5982GOPPTR5ypSPk2GilFypT5/7b7ihJ9KO/ifVLKNo8+9srUrMJ2S8D8ldORJ9qEJ905afIMdGaGovWYQMemQXzvBaEX7OuR84oIp9zFp4xyQrcyNQyuzYzznVZ9dM/i91blgix3TBDVr7mLVh5NidvCrl0kYdjTeXLnhZBltK3fF+KSECIiACIiACIlAAAhKEBYDYAEykftojt/oED4T+BOwJTrJN4PnnnnvKSScN/uqr4T/99Neffy7apUu3BRfsjlfOpRGSJrFkScI9hRSx6v36rffbb7NQMXwC2TKXWwb7aA/Xp6TtY7LFDxOFTMZQtLrDiRy3i7syuZgq1a11q0tmorhVIctbIsdKNG5M+fC8ay4zP7tD/M/KWzcsNyiBBY6sabPG4fzzt7vnngevuOLyTwZ8MIa5lS1bLtezZ2+TrVighPcyME910I0dm1jiBXpmjTEkyhtNy/JmzEjSAkV8+D4uMquNsLxqoPY810eXHFeYbQO1HPtZPcakyooXtQo1/sy7Yo2WIwUyNJThVMRIaRyWW39Lg5p6IQIiIAIiIAIiQKybIIhA7Qm0bdt29VVXXZ0QRpY94cNPi62svemGbmHhhRfuuv32iVFCDB+iK86GPnCNTwREQAREQAREQAREoBQISBCWwlWo7z5k5UwIC5FmK4bkxz1LdpgoVX0q4dEyJxvBlKQtMJESzZsTvMmHJF7DaifSnOLmxLJ8+2nGrQouLD7k+ylrx2olzmHXCtE6uVaOHNKJ/iU+JK2IHVr2bAt24Kep7gbTeAg5T12rnqhtx5jGSOI4+bESyUOyOGP9svNWl5/V55NdpP8uCKlQ3QBlLGl5Zoec6uo0lyTgQZ42BLKD/mAk7IMXCYwkepgIDbbGrBkbC5n8S36q/29HiZ+eE5Sac7ZERGKrzgABAABJREFUUt7JrPqTW+msTJZ0oUobb0lfDHVOBERABERABOqbgARhfRMvp/aqHxORBvaPzpPnSqH6fHJMJlBMEJLBoZWjULNmlk1GWN1qmE1+WnETNV7VzWDBMs12IJfm1mNewaxbF9lUvVqPUd0/FEl8rMzsg+qTNMAnmRme91IkLD9RjJSdCARYIqe6hJ0PTM7dphUzC5a2CpYzt3mHYEUSrduHY2uABIX4yQcLgRGvYkW8npW1wzljwUjY2OzTc/0vrBimE4XCNuaqVLAD712NFqN9i1So4fSc0s51TlZhU1n3pLDNypoIiIAIiIAIiEAlE6ielVXJDDR2ERABERABERABERABERABEahIAvIQVuRlzzzowE2RzgkTFKn2sJGFM8qcVNgnbZXJb9rU3FR20m1aDcqaNc8nx9NhGTKtJD8xNdv1ZUW9AQ+5tJpWIWmxcePqYE4Ok5/ZJ+1/s81Vn7BDTlU3ahnWGtn88yJzDryLmPESSZNung5yxj5mZ3bM7Rxz1RWsXPKnJSliHaAEaf5ZPo0lDvzcbPPJQpSoLuRFKOhlg/OJauRXLyjrVpKJaiOWO/fR7JIpM+e2Un9HJdWZKCCnX388ki0BpVhN1/NI1ZwIiIAIiIAIiEDWBFg60meAZV1JBUuYgD3NF+qy+t1BwtM+eh4vE/9M0CB0fEsE0vyzCpRo0mRGs1bUsvOWzU+rTj4J1zak+XgZEp62kl7e5GVimwrs2nxFazdhIGnU7JI2+UgbSctm0IvMnrbnLdmJZGF6Fo7JK4ZFKJjoCU3zsW5YORue2Wnc2HnEjcwBGPaBisYiWdfMx88bhETr3tF4A9V9ALnZsZ+JDld/rCnrsqejl9xOJKuEjZiN4GS10Xih6jNz/m/VKJmi/pxSKVMpzeduJqXt1JkpW4wXrbkPEUO5QHBUnoh3YK4cL2cJfkY+GbvrxSll6YzFI6YLeVjYv2yF7JlsiYAIiIAIiECZE5CHsMwvYL103x8KU7dmT4j8NOFBIdL+2JjMtyM7b9bCh0svS9WwrTDf0v7T5dJcT6mc9j6E3cCo/Ut0LfFgGbY+V1dthJRIthQWS2bY6dk1LCfMn8tNx4ngXJCcbcQ6GD3wcmmqpzkfMKeE9TvaQKIpqw4kL2IdcLN2OPtn6tzEyfRnqg1EGqjOTv3/ms3NVS8n23PVLLUDBt5wBlNqcNUfERABERABERCBrAhoDmFWmFRIBERABERABERABERABERABBoeAXkIG941LdiIIq4L8+JEMuc0xmn3zlEo9PlU55Pn2Z7AQpieYzCZCqt4ScucXSuMgIsY8kNLeNeTTsI5DXkxz2pEKHXiwGuQphT/LMfSc9WzA057rieShhJ+ydhndl6qU7Pbq+5DvAg5c2VGj5ONzZ3JkY8oTMf6lcgIh5KyQKZMbyZDIXqQ/mMGMhaZq3L2JeeqVqyDlN1NmVmsHqpdERABERABERCBiiEgQVgxlzrdQMNn9zSPpGSHpUJLnj9b8Jj2I9dPULp6ORfy0rQwJz9dAWvUzvIz0Y41ETZEobA+6fDQ+52yH0FJzkeselUrFf85uwAnQuOBzUjX3OBcibnLz3UqeRCen50OO2pZ6TuADbcQlvKG3ICVTFnGC6dOhP1JXaKG3AwGMpyqwWjm02bX0WQuXPCz2bVbmD5GCGZsOlK24OOWQREQAREQAREQgRIhIEFYIheiGN3I64kv3TMkxuZygoXlSAd+PDsTNh6WjYAIT3k6kaB+ShOe6aUjFuc+9OJzZ88+Cs+G9sJ0yoopMrGVrMaP0OyckjGjqYvNqZC0F4CdfSZih8NITrUsrNE+Bq1MzEDQibpMZtPDYvUtPm7rSTZ9jtdVjgiIgAiIgAiIgAgUi4DmEBaLvNoVAREQAREQAREQAREQAREQgSITkIewyBegtJrHuxE4XEhm4+6wMrPrBdXnDC1hKHFkJ+cqX10orBemvVY0EfeMmamwcpiubqjG/2cespsk4em5bJKbzkT1yMOKmcvOZTl54HU9MaeMZaWzSLlZs8yLW92RRNV0xcn3JsL0nOYiqXSGIsVqOqxxEGaAYgVqsPq+rKljkXbTdcChZWevXkrFSZViL+sFhRoRAREQAREQARGIEZAgjCFRRioC6R5/w7L+2DlX7GhMcmR+FrWzYRlPeyIhBewfzXurYVdIxw15gWpDYdUwHbFaXdzrz1FK3s6ccylTWI9bqS4Zabo6e67/W+1sSiYaytic2bVSpNP3a64OZGFyrvIN8iDOKp5TKgO3e8X6Zz/tElp+Xr0s3cHmNRxVEgEREAEREAERMAIlGjL69ddfP/TQQ+PGjcv7Ov3+++9vvfXW888/P2TIkH/j+3Cnslv7RlNZLe88HgH9KTBMx0cVPmeSjvzz8m7Ncyxhxu2sl7FML5BIhHbtRPjTrbgJOxsaCssn02bSsyOHnm8JtzRXC9Sps09oe65GIy2G59Klq6uE56vzUvw/bJrTqclYbqRoCmOxrDyqBDZqV7vaUF5WoGcAs8RY3ViB/1/c1gs8GJkTAREQAREQAREoHoESFYQnnHDC7rvvjpbLg8zQoUO33HLLLl26rL/++ltttVX37t2XWGKJp556qkZTtWm0RuMqIAIiIAIiIAIiIAIiIAIiIAKlRqAUQ0Z//PHH119/PT9SH3/88YYbbvj3339TvXnz5u3btx89evQvv/yy/fbbX3/99UceeWQ6s7VpNJ3NBpmPXyIvt8ocGOk8G2G+pz0xu9Ww7TA9x3yQovKc+nMFR3rVeCKonzZpVkPbqYtiPV4oZWasvncsdiYwmaFQvFosx7pWKxu1qRwnU93D2littjH3/7FIc2bXEulbn7tmgzuq2IE3uCupARWEAJFEY8eO3XHHHfOzNnPmzIEDBw4fPrxjx47LLrvsvPPOm42dRx99dMEFF1xnnXWyKVzLMvSQt+Q//PADfVt66aUXWGCB/Az+9ddf33///ahRo3jJvtRSSzVtmunpccqUKbT4888/82qeRtu2bZtfo3nXmjp1Km6AeeaZB/dArkaITSNejPH27NlzscUWa1y9kXKNdrgN3n///SWXXHKVVVapsXAtCxAE980330yaNIlO4vPIvpPp2n3xxRcnTJiw7bbbtmrVKl2ZgjeariHP5+7FM8SNx33bq1evvG+kX3/9FVyTJ0/u2rXr8ssvH5nW5M1VemJWiX34PVxuueXsqqDucurd+PHj+etD3fnnn/+ZZ57hV4XqgwYNWnHFFcls0aLF4MGDUxqsTaMpDRYx09Bl1YF//52V8l+qyikLzpw5K/IvXiwsMGPGrJT/wjKhhdkd8SwvZ1amT5/l/6ZNm+X/PJOElbSKZidp1JJuj0TKjkUyvXxgadZshn4uYsvzfRQkgk+Y7Wmv5Ak/NVdtz/VyJLLq9JwrH1aNp70FTwR9rx67n8spMZehOQc52aBwVh8rZ6ap4NU8kZWVYhaK9z3b3vgYPZFdTWvRf2ZXqQ5L5fCXrQ57IdMNisA///zTrl27Nm3a5DEqpqJcc8019shhNydPmfvvvz/voDNb+/DDDymPUMlcrPZneQQ6+eSTefKx7tlP9MOzzz6bk/FPPvlktdVWC43wtv3AAw/8448/4nYQgdtss03kgXvTTTflSSxeuO5yjj32WDqMNsupif/973+rr756ONL55pvv6quvns6zRE2fadOmmQ6ETE1la3UegbTFFluEChCR8+STT9bGKNVt1GjalHbqotGUDXkm4u2cc85p3bp1eDm4kXhc9zLZJH766SdqhTckuO6///5I3V122aVDFp+zzz47UrEhHfLSvCQ+L7zwwnHHHbf22muHly1XQXjWWWdx63ADffTRR+GoRowYwV98Tp166qlhfkEaDQ2WQtp+ebLqiT/rRRJpKkdKxQ9dTnDK09kn3OBc7XuuGXK1E6q+dGkvTF23E6iYiEkvnjJhhQMz1d20LDsdt+j5XpNE9SfMI+1l44mwZHXt2EgytM4pM1Fd2Q3G2wpzvJgnqg0k/++5eSTmMjTnIFdLc2pmSGGUj5m2hBW2fEuX9s9437Ptb75j9BZpKF8b2fYxm3I5/GXLxpzKiMCsWXfeeSf3VR6CEDXIrBa7J/nZuXNnNJIdIkLwtGSgu++++1KyrgUhcVL48axLTZo06datGy/K7ZCfF1xwQYYehqduu+021x443Bgd1swOBr/44ouw8KeffkoZO9uyZUs64A/01MIZGxauuzSPdvYkmZMgvPfee/35k1EstNBCjou4M1xVmTt8yimnWPk6FYQ83LqXjFsu9PcSBJe5h+nO8oTs90ZKQVgXjabrjOWjBvv06WM8uSiLLLKI+y1xTb/22muZq/tZQv9QeWaHish7v6aXXXaZFyOBaPRTGRInnnhiWKuBpUtFEO66667xa5CTIOTX1X439ttvv/hFQm0SzrHTTjuFp7JvlPgHwkL4EIcQWrA0oRGcCt8LTpw4kRzc3Fbg7bffPv/887mTrrjiCl60uAVeXfCK8aSTTrrwwgt5acd3jJ/KO2EYs6puT3zxn2kqxwtGclxIkO/p7BNuba72PdcMuVZLJwLDfC9MXbdTrQu8k14qc8LaD8xUd9OywnGGhjzfa5Ko/oR5pL1sPBGWrK4dG4lVS9k6p8xEdWU3GG8rzPFinqg2kPy/5+aRmMvQnINcLc2pmSGFUT5m2hJW2PItXdo/433Ptr/5jtFbpKF8bWTbx2zK5fCXLRtzKlPxBF566SV7ts5DEF566aV2Q/K8YV/0OIjINEWx9957p6SLQ5LHUKtY14LQ9AlaDjcLDzDWH56peBCiAzwcI95SdjLM/O233/CgUn7RRRd99dVX7RGFh/VLLrkEvUc+1tw4Z829hrp45JFHTEGRyQKBZoTwS2RqaL8u0gS1ukzKXhCiHEzKEuD6zjvvWMeIkMTla9eLh7QMvQWOi8m6E4R5B8Fl6DmXab311rMx8jMuCOui0Qz9sVOHH364dYnb2F6v0E8eks0hj1YfM2ZMjUYosOqqq2KH34KbbroJOxgZMGCAvSgh8/PPP3cjd9999xnpP4cccgh2uMT80fAqDS9RKoKQV0e8q7MPfjy7FXIShIRuWy3mH2Z5nbJvlPvGjKP94sbtLyySz0/x14Hy/DHirt1kk02srv3kD/Ett9xCyfPOO490eIqojMxvFt1+hoQZzFAgesqe++I/o+VmH8cLpssJdUW6dLxuima8cih1QuGXMm2Fra41kzRtyZQmQ/Nh2guTCCxVCwyywhKkM1emfPXHrNnPiI3IYViyunaaDmRuvbpyaDDSVngYFrN0tYHq/0dKWOVIZsrDagOR/6csG8+klmVGqmd1SE37eCKrasUs5IOtty57i8UcdtB2zn/ZgrpKioATuOGGGw4++GAiJ/3LN1dB+Oeff5rCIczMZI8bt0hFXDfhVzlz0vDI4VF0oULTdSoICRY1jyXeSO+bJZhJZQ8ekYCpSDE79GUXeIyOFLjxxhsN4K233mqn7LGHTB7kIoUpY4WZqBY5VdhD9Kc9cZk8y14QXnzxxfQQkRCJSMSgTfVk5mS6rhI6a+5Ea7TuBGGuQXDpOhzmc2cycFezcUFYF42GHYinZ8yYYTF9/MpEzvo9dt9990VOxQ+52eyu4/1FeJY3OPb7G3ERhWUiaaKgMdWw3YMMeS5BYuyK8nPd5MeaRqf1798/127wB4sq/KUL33ZkNlL7RjPb55UhM3SZMMBPprF+9913TCXnXj/iiCNQrQ8//DBRHHwr8KbtiSeewHPIEPjdw2eY2Wxxz7ImRZZrfvjqFZHynh8OZK7MsEKYDiukS4eG0qXT1a0pP7SXtmy6DmdVOa1VP1GzmZpLuLE6S4QQSqE/dTbQOjVsFOEX4qzTFkPjxWo37IPSIlBwAueeey6en9qYZQISeo9naB5UkBChKRQU8Wzk4H9jnXM7hZ/tzDPPDItlSLPCDT6uZs2a9ejRI1IM8YmcI5MnBw/FJM4I+YcHj2dc6j7++OM8SyBZefyg5EEHHcRPpsC9/PLLvGHHRUldZBJPI19++WXEfvwQfwiZG220kXlawgKHHXYYDhUawqy1QlQUBZiyiIM0LEmaVf0Q4SRodLPNNrOzrPbHwi2s/EdAYKQ8+ZyFsL1tt7MpR4ru7du3L89REKMYTtpXXnkFmwTxMkYetyKW0x0yT5JTMGflkrAMfUAMvPvuu7gQEfZhzKEXw4vIJdthhx0YHfA93xMFGSkDJCgUm7yGYLJi5JoS78YDZMrWvRvxBFVwIGOZ+5apkvEC6OGbb76ZfGs0LLDwwgtzTVFoYaMFGSm/XNzStLXddtvxMxwpy+egFTnLXbfnnnuG/YmnecYmk7cw7CAQnsVDiBS8/fbbn3vuOfzbHowalgnTuHBYlGTllVe2twZ2qiAjjdy94Uj5PeU3Bad62JM6T0d0cCkcvvnmmzbsnDyE9ucGhzJD4A8TL+qYkcivDb+r/BYR5JB5aJkbzc9DyCgQe6HHkiB1v6Lc69zW1isS9mcow1uozP33s2bfD7NKmC8g8jOLmpEaeRymaCS0EvqqQscX6QxeQSsZcVVVO5Qw71YjJlMeemES3rVEt/0gLBExEZ7y8sGYLS8slS6dqnaaPmQ2Ud26G8zch0gxDqOfeImIxXQFooZmH6crHslPUzu7bGyVw8eGTE997OXQ67rqYz5/2eqqL7JbxgSIYKyORrqTd7XcV7l6CDfeeGNq4TjKkgJBd94iCVN66TyEV111FcZ52o4bxxNlvwXoEz+71lprkcmjxYMPPujz96wYP/F3ffvtt75Qn+WbiF1jjTXcSMoEkhI5RJV0vkQesTi77rrrWnV7BsP1GrfGk67NPDz99NP9rMHnsd5zPMGrcyxTxXNIZBgpD+vA4cW6ddiGyU8O4+7K0KanWaaF8sSLeo4n3D+B6vNMT1x33XVU5HqhxlHapOMewgKOFPsMM35NUTVZjtR7ju5CdWCQAfqjacRDmGvkXWFHihaNj5QO8zn00EN9IOkSXBRKpozf9o3oeH2Qrrrl407k7wOx5bwRCEsWcKR298ZHmsc1DXuYR7pUPITJS1yrHyNHjqQ+SznznoOVtfzNEKqS3xPcbvy0Pyi1aibHygRAb7DBBl5pr732Ov7444kjJcie9xP+ko8EMcqc4h0Yr2QiLx29uiW4eyI5OhQBERABERABEaiRQLh2wLBhw55++ukaq0QKsMYGOfjNIvnpDvHdMdXQz9511104r/ywIAmmVz322GOLL744b8B5Dc2ikTy/Yvmoo47iQRMXJc+vhCmRphjPGJzC2ZK5aVZMMNeKOWrihXGSkOn+PR69cNBFJsJYLV6p494k3bt377idnHIiI+XJnok8+Pfw+aBeeAhGkeLOQuHwNMUhvi+ulHcyXVtM2GEpGkzRVVuX3krSbQQYaXw1eB0j1fE98LTJA9s999zj67JEyuR9GBkpt429EUCCcv9ErimerixH6v1hnh77keDHZhmLBx54wPPDRB6Rd2H1LNORkVrEHHXxq+O9DEfKmwKuKad8waR0TTBbla0mOBteTS/s3nt+I+z9jp8KE7RF0DUOGxSEqf3wbB7pyEj97uWPUvz3NI9rmkeXwioNRxDa3oP8EURW4Yflz+JKK62ELGQdYeY383u++eab87asxr8LIZ3ap4mUiBjhTzaCkNsx8ufD/jrz16dGQUgsSsRmbQ9TBofxW5d8O5jBuJ3PL54tajtiJTwM0yl7E7Hlh/FEVW7Rd26AZi0d5qTsy5zMjEVrHNMcO2Wayjj8Io+plPuWCk259TfVGJQnAg2CAK+eca0wFKaN4fhCCRBOhl+FQxQX2ikeXVkP4+Yhh6aJZbW3zITF0g12enjjjTfQh8T12Yvpzz77jOfOr776ii7R28wdw994+eWXpyuD5jRBuN5661kZmrbWwyo8g9G6Ta20UL3wbB7pdCNl6T6sEWJK3CauRcQA79zJITqMUzWGF6KcmZbGgyIYr732WiYiwg3dRVgsogjJx4qAEfcjz+tMciMKFw9q+N4/j0GlrBIZKc+NeDUo+eabbxKXSz9ZyJBpcmjsPfbYg85nOVJri/sWEchTKMo5gwfCQpSJuqQMtxNLzvL8yZsCGiVS94ADDqgx3jLl0CKZkZFy96K+8McigLmUDA3OrNSIUES0k6C6rx0aMeWHHsiaMuqSPTmJK8Z178W8Ypgg6JQ5X3TGF7kJz+aRjo805e8plrnW4M3pmubRn0iVhiMI+bVkbISe83eZP4LhlHGwEg+AYuQNSh6vAyPIcjqMv1SwwIl0+dkYt2D3dCXr338YPq3WqHPCwnOGEKkWHobpORWq9VmYQzq0bunqnIiZyGHETOSw2kZg3urnZCVitPqwEDaqbaX7vw8gKEBefTQdtJhl0jpbmn3LcggqJgIi0FAJWCwSo+PVLd+2Jq44xLPE0yrRd8cccwxzjZAT9UmAuW08rLse4zGdOX6IHPpw2mmn0Td6haeFsEZyeLin8/bIlF8n8ZHyWEVdnrb32WeflEZ22203NqVgSwMcLBRYb731ECG21E3K8llmZhgpMolZYfaIZdZspJkf+q0k0gihhW5EPaK1qEhXDVHHjh1ZFIfMSA9xn7K1NbqIBQUjpwpyGBkp8s/N8ibC/JbkEATHz+xHSmEcJ3ZvMC6Lq3TLkUT9RN5FRsrdiw63HuIjQe4ShYv8tr5xXQhmtpcRkd6Gh2gBO0T4hfmeNkFoL3c8M0zQyn/+8x9y+HW2Garh2fzS8ZGGv6fhawViCljDhmmr2dy9+XUmXqvhCEJ/UYE/PVSDjJmXPUx6JhyZPxYIbv+jGcdR8JzIKyW3ny7fC2RI8Acow9k8T9ljOJVr9yTuZrLqRsq2UmbWaC5s2NPVCTOZk+HqqoEIzNyHzNbdXGYjOisCAQHdNQEMJUWgJAhYLBJdYT4ID5342bbeemsCf3jI5vU/MXi2OIdNBay3Hvfr1y/iM6FL1vqOO+6IVkS6eGeYEMVzsK0645lZJniCQvTyiIwm4ZGaN+zpNB6uSI+M5XmaBR0KIpLjI/UnOlZu91HbcGgXd1aWI0Uk87xuFUPBDK74GAn2YycDZpfhZyuUWohcgshI/cajGKKXUMYwCI4Ok48XMWIkfsiFQ2JhjTmfLIQTLxDmWKN1HXkXGSkdiFxHV4Oc4nLwXqPGa8qNagNJd9eZZLC3FeGQPY2UIOqYWOKdd97ZM2uZyDBSfk9D42gE3rYgCGscaVirlumGIwi5S2DB7wlzteNQ2HQSQcjvDH8W+cMUL6AcERABERABERABEchAwB1rqEEmX7GivbukmPLETDZW5iTmEF9TfUbrZIg54hQLm2+11VbE4PH8w4MQkXIMkKf8DMOMn2I+FcF7rApjU7NYBo/DDHGn1tDPP//8wQcfUJINGBHMRG/ZQiZx+1nmREaKB8njWo8++ugsjcSLMZ9ovfXWI0YRVyGXladEogoRtGxSwrQjnippBY+NVYQAPivSTC1jHZq4tYLkREbqNx7G8dCusMIK3greWlak5AKxlqxnpktwl+JUZGWjlMuKRmpZo3UdeRcZKX3g5rGe4M5h/hfBxjhI33vvPfpsXm4LHI30Njz0uazcIWG+pxHGpNP5ZhgyO09SgPhVr1L7RHyk/tcjw6nat5ulhcZZliv9YkazU6dOKd8HeBixx3sUcEQ207eABotpCq+E/6vTfsRdauTEM2vsg/XWikXSSX9nfibjzWI78amxkxnoVXcv1y7NbjrepzrOqat2qzlk6L4ViXcgXX4GUzolAiIgAoUi4LFIPJGHahD7+IvwGuFN4tUz2z8UqsVs7KR7rqUupxAtLKzCcot0mGly5u96/vnn8Z5lY5wyzB9jTVGiQ9FCeOTYH4swVDxUGarjWuFFPKvlsRoKy6LiRkMcsgRLhirZnIqMFK8gWs4qRk5lY83KIKVYh4YHOeInmTWH6LWdNiDGFDKC+iiGSrQVVri4rA7Ifhu4dEwWZt9QTiUjw/EbDyPxIDjiWsnn4rpnLGVbLHqPMuda+HTTlMU80xtNF3lHSYu88yp5JCIjZeYei6+YHVzQxB4TFsciICg07jpTUDSauSF+Ga1AKKTDKpYfX5jXyhDejHcO4ZBhyZnQWpbpyEjDWhlOhcXqNN1wPIS2sDL7C+HjNm9hCA7Prx1GNpkJy+SX5kVFGNudn5EKqpVODKXLd01AAU/HeYWnqtOhyXTp0FJ1vTl5ljMnP4MVKxQWMDNe2RNzzNcuFbaF8fAwNJxdu14KM54OzRQsnaP1HIsXrJsyJAIiIAJxAv50gdfI3+57MZ4geVhnYqHPLfRTJZJAOSB7eCLi0QXf3frVmyVm6B4Rp0zoQj0yXpxR7FzH/l4ZysdPscUFYpJVXni+Z5kZ997ES+aag7zxKjjx3LLxN+8Qw7z77ruJsfSSkQSzBy2kllVSWUAlcpboX7Yqwa3KBmaoXBZxYK9syuDqRGCHhc31StOWT+Fs8IYWMqT9xktZBn8mghZlmzkIjqVxKMPTMiv98HFTzPa0NB5RTJHGHYpuLErk3X//+1/vWCTBqw22EuCtBDPr+MS9al4e55ClU246CgR7bjch7bU8wZsd0jgnmZzpmQ0+0XAEIR5zFDaXmTdz4RLPdgntfQNvttjoL4+L6tqdeyhigb8UeRisuCrp5Er2INIpg0h+9WGGBikSP1tdb3aH/NATWfU0UjpymDQRNh2m09kPbYTpdOUz5WdRP4sic7dAhWyGMXclHYmACIhAORLwZ1D2gk/ZfzQhkqC4sUhIOJxyKbtHprt9WPElXRnPx1WCl48nKzyid9xxR8pF/CmMXDRthk5OWcYyUWhErqZD541mH3Vlc+esIn5Lt2AJ234MvUcEYAZByHRHK49wjVjgkKAzOo8RW3LTWwy1aFiLgEw+5KCpahSE2Y/Ub7ywLU/7LMfMN551nsVm+XjdMOF7r/MKAEFYwMi77EfqlyPsmKfdp8flyMCEdfthwgQ8pvV6XU8gKW1uXsTXagVYWAhdjRSMSwm3kCGR/UgzGCnKqbIUhFxgdpOEF0sMszmsgeOlF5qQRXiZ6r366quHl5mXUvxRoxh/1/KT+75ZBbugrLnmmn6p+N0jYsEPlRABERABERABEWioBFhJhecBpBTheSnHaOFIBY9Foi1cIilbjGfi/GHCXjzfcnxWVY2OPgImiYpEDbKuBvMAXXXELbPCJw40C9FKKQgJwKMWHry4Cy5uLfuRskoHq6eyHyBGeBr0BzzbqY9DJFDXrl0zL8Xna8mkW8DD8tlPklZwoK277rrxPpNDTCmBiLiwmKHHYQa54tWzH6kFwXnFSMKjfzPfeH369EkZQsmFMxnGwzOXEuPm/S5g5F32I+VyZNBULsjtckQ4+CH9Z4IrypwpoJ7pCYv+5TBl2PONN97IqQ033JCXO14l+0T2I83eZv2ULEtByLsN2xXk0EMPdUEIL9z9uPK5k7jGzKLmziac+rXXXuMPGX/ReGFwwQUX5IeV9bsQn7wzYLI4Fohp5qUR9xmxE6zWxfxjeyGUn/GGX6tGD1KNBSKM4m6sICduLJ4TFI+YTh8wGVoJ01EDqY4ztJeqeMHy6qddayVXJgUbpAyJgAiIQP0RYDoT6/Wz/eBFF10U0Uis1GIP1hlWW8ncUQtHYooasi0Skpp9OBLr2WQQhL4gR7gwScpe8UyFk42xsJamR2OmLEkmoouNN/CkpSzwzjvvkM+betMbpG2k8Rk34Z4KKU2FmfgGWMWHK0ImaR7M7CwLyxOhio8LpcRUwMzPfq4KeIA0LRc2QSAoexuSY6pymWWWsZDRsIylCR9DDOAjxUMbni3ISD0ILrTsads+gfFGQti8gCW4oJEcO+QhGUqk8Xm4/4NDbzTLyLuCjJTL8f3336fsJ5l299JQyvcOYS0uBE/mTJtkHZrIGrz228GbgvjvKSua8quNHbupQoNhuiAjDQ2WQrpxKXSiUH1gr0wuM+9vuKKESvNOiyABtt1EDaIb+WPh00zzaJGJ0USc8nKCZY6QmvwlZaoxtybzX3npkofBSqmSjU7IRrdQxv+F7CyzOifSGoeRnOqCKf4fWpqrqdBKmE5hI8jCxNyfsGqYnrvUnKN4f+acqzEVVk5VmA7k+qnJZBb2YkyyqKMiIiACIlAcAjxRMJuIT7jwvS0lgoeQcCT3V9A/1i/gFAqKmVes7J9fj+1xnOYiy2YQxvbggw9maZPVXOyBlfLuD7S6vNcmaJM0cZvhU3J8pITV2VwbtpWvUQ1ikN2e+ckjuC8RaS3ykyl8NmNt++2390wbKU7ISOQq21r4og9euICJ+EiZmWYxZew7F3H84htEW/KkB09Was2vGwUZKUFw7uf0/TysPwTB2dqbaCT3kXIqPtJc+2+Rd9TiVo9EcqaMvCvISLfddlvvZ/j7RSZ3Cw5hEvjuPHaUw5QjZb6rRY2ysKobJIF70NZ8wm8U5lsatW+/7KG3KV6sICONmy1uTil6CNmB5P/+7//gki6egTc0ViC+rDO/sSw5hcOXvz781WPCKC8ACOPm5Yf/fUxJvMZGaYuXFswV5u8df79wahM2cNxxx/E+BsHJzUHogltmtrH1MPL6kAL8ceGlCwt2eWFL8CfJqoS/z5EyZXaYk+bIVSqkKh9pMHKYjl7c0lw5WVpx63NVTrwF9TM5JTLVS9mlTBWSLc9dgKOUZtJ1cu7aqUrVXCJVLeWJgAiIQKkSYEoICoresS+5T71jsRDWmcSpwq4DPA8QMUT8EcXQjcOGDaMwkqbGaXLpRszrZnuK5XU2rfP0gvOHQCe8kTxsMBfOHojTVbd8XlLzVM1eeRyutdZaPBkTvkjQJtsVoNbsIZvtE0Mj8ZGy0IiJyeOPPz7D6qDsZXfLLbdgilfkvDdnzRUSvH/nOYfnouHDh+PBe/LJJynAw1j4aM4TFFGmaC2W9GRvd/rMbCBWv+TDKQRw2L0CpuMj5eEQsc1lxTFLNwg9I43/AAmEK9j252Ab+vAZL6f+FGqkvG4AL00z1zESBGf9WW+99cKOxUcans0ynVPkXUFGyi8Uz/DmUkaV8YvAnU9QKzlM/uJ5m57XePdSht9B1oblF4dfTG4zzLLSDL9KTP7kxuaRO+U+Jcw7oy5qM7MHsiAjzfIS1F8x4OrTkAjYrVMSI/r331l19y/VCCOtzZw5K5t/kVoczvWJnK7RYqR8YCs8Uwszs/KkGvTEkmF/akzHaitDBOqVQAn9ZavXcauxOiTwf8lXzzz6p2uDqSJ24/F+OSyDD8EcYpFnNcKIrrzyShRXWDiS5lGSWsSzRfL9kFUW4++vUXQ4r2xaGgvGeGH0HtZYv8RzLGEaLNI9O7S4yjPOOCOsEh+pTZBJaSHM3HXXXd0OCirdYzQbyqH3vKQl2OwhNGVplKS56YiYDcunG6k9wVOXi+LlzYtr4ak1jtRq4Q4lhjDeH+IwkcSEnrrxdAm7OjQdL1DYkcY7ae6yLEca7x6RdGYTAR8/CxlbejTSLmqNKxUpX5CRPvbYY5G2/NDey2Q5UoSfhcJ6dUtwpXDwRHpuhxZzy+2a8myYWZCRprx7rRVzCEdGGnag4OlS9BBGrpwORWAOgVRuqJw8XXNMpfHezdVC9qbnqlbdSJCZvSUqB/USpiKH1db1fxEQAREQgfwJrJf0qMQDedwifhib5BbGp3EWTcU+fk888QTuLHyDLNRB4BIesIMPPrjGjddZupB2cVB4K5EEjRKRxG4HhDvhsyJUCn/IMcccw0M5P8kJdQvePzxs4Vp3Zo0ZNMhd81iixNgDkNVcCIy0hTQZVMTfFR+ph2JFuhc5pCHPYQIeLqw777wTPwyONbw6+E5pFPW7zTbbeDFPMCuSIFLUCLqCqYM8puN6xSNE8C2dj0RLpRspT/Am7MO4VprDP4lApfUaR2r9Ib6MdUTwJuFHZQVL+sA1AgKLEcYnFvoQwoRdHZ+RGJ4q4EjpGEKXqXFhEBximMMsRxp2zNL4RY1hSuGXU+RdQUbKrxL9IWiZ303iY7mXcO6xXg4DJCQbJ3mWI+UWwqnI9DHuSX5PocTvDs5zViGJ/EYbB36R99xzT9L29iEOKswpyEhT3r3WCjce61ZGRhp2oODpxD4NBTcqg0UkYG8WS+iy1v4GS6OHMhvOcDaNvbl1V7r68fyszKWOz4wYS2kpmhmpk82tFjUxu072ltIYyKZtlRGBwhAoub9shRmWrIiACIiACIhA8QnIQ1j8a9DAe4CYyF55OIuaJEiuJjPYy3DKuzMnkU3pWJl0vY0VnNMOqcxn5yqa4aAwVjI0oFMiIAIiIAIiIAIiIAJlTKBBrTJaxtdBXRcBERABERABERABERABERCBeicgD2G9I6/ABt1Jlc5TZky8WE2IMpvJyVjqNrNpIF0n57aYt6W5zVQ3lqu51FaqrdX0/9rVrsm6zouACIiACIiACIiACJQAAQnCErgIldOF2imMXNVQBq6ZOpJfM6ks5meJbqcylmE0BT5V3NYLPBiZEwEREAEREAEREAERyEhAgjAjHp0sGQJ5i6v4CNIKnrzbSGsx3ngNOWkt5dq3tIZSdCCXsimqK0sEREAEREAEREAERKB8CWgOYfleO/VcBERABERABERABERABERABGpFQB7CWuFT5XogkKtvLF2XavCD5d1MGrt52EtjKd2A0uRnbSXrgmkaUrYIiIAIiIAIiIAIiED5E5AgLP9r2KBHkIesivOoQfnk10Z6o4W2Fx9Qmpz0XUpTQdkiIAIiIAIiIAIiIAKVTkCCsNLvgFIef37KykeUlT7Kr42sTHtHMiWyspRNJ7MylKknOicCIiACIiACIiACIlCBBDSHsAIvuoYsAiIgAiIgAiIgAiIgAiIgAgkC8hDqPmhoBHJwlWXjeYvgqcl6TiZrMpZsOxuLWRmKjESHIiACIiACIiACIiACIiBBqHugARHIQRZlo7IiZLKwnqXVLCxF2k5zWDBDaewrWwREQAREQAREQAREoKETkIewoV/hch4feieDxMpfDWUwmhJX/i2lMJeDscz9zMFQim4oSwREQAREQAREQAREQAQgoDmEug1EQAREQAREQAREQAREQAREoEIJyENYoRe+XIZdeDdYZrdbhEvWzWdjNWtjyU6ks5iblch4dCgCIiACIiACIiACIiACcxGQIJwLhw4aMoF0EivlmHPRXTUazsVYyt5UZxbMULVB/V8EREAEREAEREAERKCyCShktLKvv0YvAiIgAiIgAiIgAiIgAiJQwQTkIazgi6+hpyRQUC9cYYwVxkrK0SpTBERABERABERABESgoglIEFb05a+gwddfWOccqLXVcbWtP6cnSomACIiACIiACIiACIhASgIShCmxKLNiCNSB6CqMycJYqZjrqIGKgAiIgAiIgAiIgAjkRUBzCPPCpkoiIAIiIAIiIAIiIAIiIAIiUP4E5CEs/2uoEWRDoC4dbnVpO5uxqYwIiIAIiIAIiIAIiIAI5ElAHsI8wamaCIiACIiACIiACIiACIiACJQ7AQnCcr+C6r8IiIAIiIAIiIAIiIAIiIAI5ElAgjBPcKomAiIgAiIgAiIgAiIgAiIgAuVOQIKw3K+g+i8CIiACIiACIiACIiACIiACeRKQIMwTnKqJgAiIgAiIgAiIgAiIgAiIQLkTkCAs9yuo/ouACIiACIiACIiACIiACIhAngQkCPMEp2oiIAIiIAIiIAIiIAIiIAIiUO4EJAjL/Qqq/yIgAiIgAiIgAiIgAiIgAiKQJwEJwjzBqZoIiIAIiIAIiIAIiIAIiIAIlDsBCcJyv4LqvwiIgAiIgAiIgAiIgAiIgAjkSUCCME9wqiYCIiACIiACIiACIiACIiAC5U5AgrDcr6D6LwIiIAIiIAIiIAIiIAIiIAJ5EpAgzBOcqomACIiACIiACIiACIiACIhAuROQICz3K6j+i4AIiIAIiIAIiIAIiIAIiECeBCQI8wSnaiIgAiIgAiIgAiIgAiIgAiJQ7gQkCMv9Cqr/IiACIiACIiACIiACIiACIpAnAQnCPMGpmgiIgAiIgAiIgAiIgAiIgAiUOwEJwnK/guq/CIiACIiACIiACIiACIiACORJQIIwT3CqJgIiIAIiIAIiIAIiIAIiIALlTqBpuQ9A/U9JoFGjRinzlSkCIiACIiACIiACIiACIiACTkAeQkehhAiIgAiIgAiIgAiIgAiIgAhUFgEJwoZ2vWfpUzgCffr04f748ssvC2eyci2ddtppwLz44osrF0HhRv72228Ds1+/foUzWR6WGtrfa41HBERABERABEqAgARhCVwEdUEEREAEREAEREAEREAEREAEikFAgrAY1NWmCIiACIiACIiACIiACIiACJQAAQnCErgI6oIIiIAIiIAIiIAIiIAIiIAIFIOABGExqKtNERABERABERABERABERABESgBAhKEJXAR1AUREAEREAEREAEREAEREAERKAYBCcJiUFebIiACIiACIiACIiACIiACIlACBCQIS+AiqAsiIAIiIAIiIAIiIAIiIAIiUAwCEoTFoK42RUAEREAEREAEREAEREAERKAECEgQlsBFUBdEQAREQAREQAREQAREQAREoBgEGs2aNasY7apNERABERABERABERABERABERCBIhOQh7DIF0DNi4AIiIAIiIAIiIAIiIAIiECxCEgQFou82hUBERABERABERABERABERCBIhOQICzyBVDzIiACIiACIiACIiACIiACIlAsAhKExSKvdkVABERABERABERABERABESgyAQkCIt8AdS8CIiACIiACIiACIiACIiACBSLgARhscirXREQAREQAREQAREQAREQAREoMgEJwiJfADUvAiIgAiIgAiIgAiIgAiIgAsUiIEFYLPJqVwREQAREQAREQAREQAREQASKTECCsMgXQM2LgAiIgAiIgAiIgAiIgAiIQLEISBAWi7zaFQEREAEREAEREAEREAEREIEiE2ha5PbVvAhkQeDXX3/97rvvZsyYsfTSS3ft2rVx43xeZEydOnXIkCFDhw5dcMEFl1lmmdatW2duuSCNZm6iWGd//PFHUDRp0mTZZZddaKGFatkNwD711FPzzDPPlltumcFUYRvN0FB9nvr3338Z17fffjvvvPMCs1OnTvm1PnPmzIEDBw4fPrxjx47YwVoGO4VqNEMTOiUCIiACIiACIlBBBGbpIwKlSoAH39tvvz3ykD3//PNfddVV06ZNy77Xo0aN2n333UMZSXr99dfnETxupFCNxi2XQs6rr766/PLLh3/g1lprrS+//LI2fTv22GMxuOSSS6YzUheNpmur3vInTpx49NFHt2nTxmEisLfaaiveOOTUB+63a665pkuXLm6nUaNG+++//+jRo+N2CtVo3LJyREAEREAEREAEKpZAVcWOXAMvfQKoOH9KxpG16KKL+uHGG2/Mk3Q2Q/jiiy/c39KsWbPu3bu3atXK7DRt2vSOO+6IGClIoxGbJXJ4ww03IDZs7O3atXMszZs3//TTT/Pr5AsvvGA20wnCumg0v64WsNb333+/xBJL+F3UrVs3bi07nG+++QYPHpxlW9zD4f3WuXNnroXZgeeECRNCO4VqNLSptAiIgAiIgAiIgAhIEOoeKFECL774oj0Z77jjjrj4rJeEcW633XaWf+2119bYdR6411xzTcojAq+77jrzKxJ6+uSTTy688MLkEzhKvJ/bKUijbq2kEh988AECmCH37dt3wIABQKB7zz77bIcOHchEJxP5mWuHuS4LLLAA1fmkFIR10WiunSx4eW6qddZZhyFzU+HcmzJlCk38888/N954ozkMe/fuTQhoNu1eeumlSXhV++23H3qPKtyiZJrG3nvvvd1IARt1m0qIgAiIgAiIgAiIAAQkCHUblCgBQhl5VkaoRKJDef4mk1OrrbZajV1/9NFH7YGbh+xIYTyH5o3Zc889/VRBGnVrJZUwDdOzZ88xY8aEHUMbGyLEcJhfYxqJsskmm1A3g4ew4I3W2Kt6KHD33XcbsTvvvDPSnMN8+OGHI6fih3/++Sd+WkztsssuEQFpUbjcn+4kLFSj8W4oRwREQAREQAREoMIJaFEZe7TTz5IjMGjQIPq07777ejCedbFly5abbbbZ9ddfzwxANEk4MzA+hpdeeolM1jthulfkLFPpWASFJ/iPP/7YT+XUKE4hFhShLkvdeKSfm+IUBQgC9DmQzArjwxxIJozhjsM7x+Q95C7V8YK2b9/e6n700UevvfYaamGRRRZBoK6yyipuM+8E43r33Xepftppp5lL0E1tu+22yDaa++qrrwDr+TUmrrjiildeeWXxxRenhy68w1q5NvrNN9+gi/DcEnUZ2iGNK3Ls2LFcR5qzU5MmTfrpp59atGix1FJLkfNO8jN+/HjY4kMmhtOKDRs27JlnnmGxFmz26dOHK+5Bs1Ygj59vvPEGtfCIcnNGqtP0Gmus8eGHHz7yyCPIvMjZyOH999+P3qM//fv3j9zGRx55JPcA5QnlZbIriVwb/eWXX/766y9uKu6iSLvkc5Z2Wb3GTwETpERlo1FB/fjjj7PsEHc1/mSg2e/g9OnTX375ZX5fuLEhzN2y2GKLuQUlREAEREAEREAEypVAhQtiDb80CRAaar9RDz30ULyHZ599Nmd5ouXBNH42zDGPXzpf4plnnokdnsUtfjLXRj///HPr5A8//BA2aml72j7//PP91BlnnEH5Aw88kIrICatrPwm8JIzz77//3mGHHcJ80ocddphbyDtx4YUXYor4WMRA3kbCiggV1ALLqLz//vuMCOPxkNFcGzV32a233ho2ZGkEEk1suOGGfoqFaqxRHJ7mqOTQPkTG3nLLLZQ877zzLEq2+kzCq+w+NzeVa2KFFVbAIBo+ZcXjjjuOs7wFSHk2zGQeLCVR42FmunSujaLzMR56v92yqXeuneeQsN+Ue++998EHH0R4U9c/K6+88h9//EFk9XLLLeeZJIiYjftIQ5tKi4AIiIAIiIAIlAUBeQjDJxylS4UAO0OMGzeO3kSeTa1/n3zyCQkCR3EQZe4xj8Wrr776iiuumLLYzz//TD7L1fBwTKJQjaZsyzPxWSFgcLbgX2ILjbfffhvnFp7DnXbaiXVKSNNhnEI4u/Agod9uuukmym+//fZuIY8EapNayKG2bdvmUT1SBVcSS6Hg2zznnHOYosnCPJECdljYRlM2QR+4xHjk+InLl71JUDvI+yOOOOL1118nbhNHFg4uvMpPPPEELi+6dNZZZzHxL6W1LDPxplIy3b1nshYFhZ8t4oyN2McVTM5GG20UyU95WKhGUxr3TLzWjz32GG5YljkFGruJ8LKDX7ddd90VQfjbb78ZZ9IUI3gboU7/405IN6iECIiACIiACIhA6ROQICz9a1SJPcRr5yGU4fiJ/WNtGFa2JPP0008PT6VMn3zyySnzyRw5ciRxcSTWW289K1OoRs1aup8IFWJECb3z6MeDDz74tttuY2h8LrroIh/XMcccg1+I4FLGW0tBSDQm/bEtB2kaqYl24okfEbXuuuvi7ErX25T5xN+yAgpS0FysKcuQWdhGU7YCMaQX3sINNtjACrDxA2uxoAlRgwRwMlLbcBLtiqeLLgGzloKQTSwJuUQUpewSc1MtH/mUQRBy++GrpCQXhbcD99xzj4W2cshFoeerrrpqaL8gjYYGU6aJdA2hnXvuuXSD0F8CVrlbQs74Bg844IDJkyfzRgM/ZEpryhQBERABERABESgPAmXhx1QnK5zAm2++yQQwZpcRJsrvFU4Y5hDWhsnvv/9uMXj4Br/++uuUpmpsNL+QUfrP43XYok1cJB9pGuaTxiFDPg7DSH6uh7b6JQpzt912w2DkgwcShZOlTYJ4qc6WFcw6syrpQkZzbTSPkFF6QvxwpOfs7U4+czXx0YWn2L6SfK54ZAWXsEw2aVfsaKFIeZxpHqSK3zJyNjz0mat4gLm36Vj44d0Eoae2fqnVyrVRu3NyDRllpmVkzSF+0axjKOqw/0zftameiMYwX2kREAEREAEREIGyI9A4fApRWgRKkwDxkyx5whw/fsHoIXGA7l7LtcNYeOCBB9gYAE8O8hLXXK9evVIaKWCjoX08n7ZMiGf6WOKeOtvsjsBIL5xHgiHjyaHiXXfdhZxjnZvjjz+eWXYXXHDB2muvTT5rwzB3EZlUo3GCbA899FCKscWCdztlrQI2mtK+Z8Z9p9YxIKMJvRgJg8kwETNhfq5plgA1y3vssYdNZcQC43366ae32WYbnJNmMDNP5otasVNOOYV7G68g7lbuRlb94famh1dffbWLQEoWpFFrMcPPfv36RbyafpUjNye/O7aiTC1vzgyd0SkREAEREAEREIH6ISBBWD+c1UqtCLDiBU/eTA+7+OKLWVUS1xyRgba0TE522RaPRSBxmxBniH+DeEL2f0tnoVCNRuzzuB/JsRmMZEZWmiHHT0Wq5HRoS+9QhRmJyCTCJq+88kriVFnkhimLhhHXFvs6ZjaLwkECEei41157kchcuFCNZm6Fs+mgpcuv0WCNBVDUxC1zaXhDgXMVBcUkVdybBFsSCGpLxWAk83RN+FhDXJSTTjqJRXpYfwhfK3e4L/fKFbHpspQsSKM1Di0DtAynajSrAiIgAiIgAiIgAqVMQIKwlK+O+jabAGs2snYFy67gPyHC08LheIDm0TlLRkQPsk4GGo9lRXBuEDk5ePBgVkbJUL32jaY0blGvuZ5KWT7LTGZ/WaMsC8l2dhbpZ3XJRxAyP41D5o9lNsiinShq/Gz//e9/M5fkbKEarbGhdDzT5ddoMJsC6GFQ4GemMMu94G3G48eiRDDESWgWLAI2nTWuhZ0idPmSSy4JlT+htsSRsogrfkKb5mola99ous54fgZoGU55dSVEQAREQAREQATKkYAWlSnHq1bRfWaOFvOaCM+DAo/L8flXcTqIQALebFcJVh9hk3p2V4sXy5CTR6MZrNXzKR7l0RgTJ05caaWV2Ggu0jpSBLGNzGYqI3GPGZ77L7vsMuqC7oYbbgiNmCwnwhZhQz7LorCAaqEaDRsqqTSrrbATJmvGMnzm3aGT2UCC+8Q2F0EPx1GH/Xf/IYughmrQyhCN2bNnTyzzCWvVstHQlNIiIAIiIAIiIAIiYAQkCHUnlCIBAkRRcTw0M3Uq3j+WuWfhEJ7CR4wYET8byeGpnR20kSt4/Ij0YwH9SAE/LGCj2CQq1S0XPUG835dffplOothkMBQj4YsZ/Fo29Y79BvjER4QP1ua8oRhtx/aCNGoNlRTMcOxMsfNZdpbP5hYkkHMsDBOWjKQ9AjPDRUENEoMaqchhss3Fw/wsG7UqJQszHJHSIiACIiACIiAC9UZAgrDeUKuhHAj8+OOP7BfHI/VBBx1ki1WGlZnMZmtydOnSJcyPp1E4m266KWqQbeLZboF1SuNlPKdQjWIQccXWgm656Am2FEcQsqdcyp6wXij5ePYyqEEKsOJIyhVE2MGCLRbwibHPIcV69OhhrRSkUTNlgsfSRf/JyjoQ4+YESKQz7ND4/PPPk8ncwsipyCFrC/FegzcamS+Kr3hUkEatDyUFM4JFhyIgAiIgAiIgAvVPINM77PrvjVoUASPAlnEkcEmxsn+cCc5Dducj37aOiBfwHHZLGzVqFJLyueeey6wGqZJrox5dGdd+tjeDd6Poic0335w+4HFi/8BIZ9B4rDJKJgtdRk5FDin2VqoPQY+UBK+dvPnmm61iro0azzhMBKdv7hfpUlEOkdaszcP+jb7viHcD3ynvAjhkvqtnpksYH7YfjMts3k3YPod+UXJtNB1M9jx84okn0nVJ+SIgAiIgAiIgAhVIQIKwAi96GQyZ52Dz/p144on498Ies8rlkUceSQ5L//NQ7qfee+89luLgEzpA2B2BAkwgjMT1ea0wkWujeHisOsufhnYI82P9lTCn6GlWOiFiFjHAOpYhTyYN/uc//zGVeNhhh3k/hw4dajDfffddz8w1kWujxhO5Em7YgPI/4YQTwpxcu1Hw8ky5tCVhTj31VAujtSY+++wzi3DGPbjKKquE7bLYjPFka0HPt/0b8RCy80RoB+83p9i+gpBpX80110YNJnshRsKq+/fvbw5h74YSIiACIiACIiAClU6AJ0J9RKAECTz11FP2y8mC+ywoiu+FJWQQWhxa/sMPPxx221Qipx588EHLN18NOa1bt2ZvgHQf1th0O7k2SiQq9m0b8f/97384snjuZ7VJBINJAnruxm25EabYeY4lXCS8+OKLkVPoYeyzOGokP49D9rjDFB8mrV144YU4plgslHVQLHOXXXYJbbrEZdfBMD9l2oQNk+LiZ3Nq1K8gcz5ff/11tsfA0coyKvTQlP+GG27oTTDh03qOfPJMS1jkKmotkv/ss89aFYRx5FSuh7a+DtZoCy80N+fRRx9tmxMSC4rAjhi0+4Ty+KvDU2zgYV1ac8012WSCHrIwj7+8YPGesHBOjfoVJIIXOYq/8YUXXmDDFZozmKxkExrnHuMU91uYSZp70nrIXRo5ZSszcVdH8nUoAiIgAiIgAiJQXgQS+ynrIwKlSQD516JFC3seDX/yzM1Co5E+u5xwQRhZoTG0EKZRmKGpnBr9+OOPUZuhNdLzzDMPcstkUukIQsb4f//3fylXOmGiJpMtQwguJ2opCHNqFNclm0xGYBL6yMYY9957L/mlIwhx6B1wwAGRrnKIW/v9998PSVo6nSBEZW2xxRZxO9xU7BVJK6GpXBtF5MctI7Zt1qIEYchWaREQAREQARGoZAJaVCb+yKScUiHAujKEzOE5wb9BICg7s7HGBkuVoP0IgIz0kgdrlh4l03aHI8FTNRIoUix+iH4LM3NqlGmHuIPw6qAMic1jiz/cL8cdd1z37t35s0LYXrjuCDtesC1BfCEcMq2f1Ap7QprgQ7rXtWvXSH5+h+ecc85WW211yy23MAmTRUG7detGlCyz3cLIW7OM19S6ZPMqMzdHaCgjNf9YvGT2jbKkDS5WLjeTFbncrFJD94444oj11lsPbU9/6LDbJ2095K7wTEugb5E9a6+9diR/6aWXtiopVXGkcOZDZOrtt9/OzYkLlA0tkdNcI9jSdEoOjMLmRkZuNsbIIjREyd5///3YYbd6yDPqgw8+OBysdSbXRvGvbr/99mhpFCBOUVy4OCRZABafKhwiENC3RKXiqIwMnHvSoHGXRk4dcsghREeHd3ikgA5FQAREQAREQATKgkAjHlvLoqPqpAiIgAiIgAiIgAiIgAiIgAiIQGEJaFGZwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwIShGVzqdRRERABERABERABERABERABESgsAQnCwvKUNREQAREQAREQAREQAREQAREoGwJNy6an6qgI5ELgpZdeGjZsGDX22muveeaZJ5eqRSv75ptvfvfdd9b8lltuueiii1p6iy22+P777y39v//9r2PHjkXrYi0anjx58kcffcRF+ffffxdccEEGlaWxP/74Y8iQIfPNN1+3bt2aNWsWrzVp0qR77703nt+oUaPWrVu3b9++R48eSy+9dLxAJeRMnz79jjvumDVrFsy32267ShiyxigCIiACIiACIpATgUY8KORUQYVFoPQJ/PDDD7179542bdpqq62Ggir9DlsP99tvv7vvvtvSL7744mabbWZpxjJ48GBLjxo1iid7S5fRzw8//HDXXXcdPny49XnJJZf88ccfM/d/4sSJF1100Y033jh+/Hgr2aRJk1VWWYXM9ddfP6w7YsQIF89hfpheaKGFjjvuuGOOOaZly5ZhfiWkebnwwgsvNG7ceMCAASuvvHIlDFljFAEREAEREAERyJ6AQkazZ6WSZUOA537UIN0944wzyqbTDbejvHXaf//9XQ1mM1AK49O7+OKLXQ1Sa+bMmcj7DTbY4NRTT83GSFgGIU2tjTfeeMKECWF+JaTttwDH7FFHHaU3gJVwxTVGERABERABEciJgARhTrhUuAwIPPXUU8SL0tE+ffpstdVWZdDjht5FPHgeCouXjyDePffcM/OgDznkECScl4kE/V566aXPPvusn80+8d577x1wwAHZl28YJddcc811112XseAhJHy0YQxKoxABERABERABESgUAQnCQpGUnZIggAPkP//5j3XllFNOYRZZSXSrdp0g3nJc9adz5861M1aE2ghCbxVxwny/c88913PiibffftskPadWXHFF5k/+/fffY8eO3WGHHbzwDTfc4OlI4quvvkJM2ueDDz647rrrwoDSJ5544vHHH49UafCHp512mo3x7LPPZlZhgx+vBigCIiACIiACIpA9AS0qkz0rlawnAjzKM2UOBcRkOSabdenSJfuGX3755W+++Yby7dq123HHHa0ii45gzY106tSpRYsWfvjbb7/NmDHDDlmzhMVLRo8e7WdpnclXfkgCceJhh23btqWh8Gy69JgxY1gZBWmEoltiiSUwm71Ypf/eQ5ZIiTfB2S+++OLXX3+l/yyggv1InyNVfvrpJ1x2DAQUKK4shxAxwiFSbejQoX/99Zct3LLYYovFy5BDqKfnzz///J5Ol/jyyy/91FVXXbXUUktxSMXbbrvtySeftKDHTz/91MtEEgzKp1mSWGONNXbaaafNN98cRFYSB6PfG5G68UPkE/GrP//8859//om1RRZZpGvXrvFrx8o3U6dOteoUa9q0KSGadJJ8Wz7HVTE+UiY0UpLL+vHHH7Pszaqrrhq2i/SluV9++YW7lOYWX3xxbrOwABfaIz87dOjQqlWr8CzB0n4DN2/efIEFFuDsJptsgin6MHLkyEcffXSPPfYIqygtAiIgAiIgAiJQ0QR4sNBHBEqEAFpu7bXXjvxCMmfsrbfeyrKHm266qVUn5tCr8EA/77zzulmbSWVn8SaF2gmpgHQM5SLeKrdjifBh+oEHHoicjR++/vrruMW8dUugnVguBQkRlt933329GIvK+KlQaE2ZMsXzSSAF+/fvH44OCxySGTFutRBFK620krdCAg2JOmKJl9BsjWmEGbIztEN62WWXfeONN8K6rGXSt29fNKqXRDqSwycsFkkfeuihXp61ScOziD07haxi7HYqMjuRFwphFUu/9tprbpPEwIED42UiOQhmFrCJr+nas2fPW265Bb0XlreYTGsC49xXyy23HIe80bBi3joSjpxHHnnExnLggQe6HfyZfgN7eUQdqw0h4L1YKCDxtXq+Jeib1w1/C04//XTLZ2GeSBUdioAIiIAIiIAIVDKBqkoevMZeUgQIAky3AiT+lnvuuafG3uJUcdfNu+++G5YPn5KRQK5/WIDRn555UDaNsf3223vmiSeeGNrB2eUKoU2bNqyEGZ6Np3Fqual4gjVOXNVQN1dBiKdo9dVXj5u1nBVWWCGipq699lrURcryOAnff//9eP/jOQx55513TmnEMg866CAfVMrdIKxY3LLnEC+KWuZz6623eiYJtLpfXyaI+qlsBCGFEXLe7f/+979ePWUCx2C/fv28fDxx1llnhRVDQUj/zS9HrZSCELWPoDWbLgipFb6biLSI19EcgzR6zTXX+Nm4tA7v3vBNinnOrSLvBcLOKy0CIiACIiACIlDJBCQIK/nql9DYiRFF9fljLrqFx3cUl+dwlgDFzD32BTMIw+OBPlJ4ww03dGu77LILZ9955x3PocVBgwZZlXCOGWtdhnbCTSx222238FQ8TYdDZyOBf/g/caN5oyRCXZGrINx9991DU7ie2KkvFBWHHXaY94rwRVdT1EJJMiUvnFxHaGJKp6JbsERkhU+4EdLp8sb6g/K0wvl5CCMt2iHLjXLVzD4D4Rp5sSwFYYiXtFdPmYjMcgQUHr8wXpc+fPvtt143FITh1g5xQYj27t69u184E4TEo3L5PJM7f5lllqFYeMlwTVtzv//+u/+yUMCFImeJF/X4UsKSeX/hPSTh0deXXXZZmK+0CIiACIiACIhAJROQIKzkq19CY/c993gm5mHdXFvoE+QHAY32uf322zP32NeuxLcTL8nEOV+sksdopm+FkZznnXeeV/nnn3/CR/8wWu///u///Kn96aef9iopE9dff70XPvnkk91vxiIxSFY7he71uqFiqTFkFGnqagENQEik2WHzd5cENMG0McsP9+5jFpllMlLW/PROsv6KdyZlAi8T/lUvTxSihbDiNiQ60fOhxzQ2t4C31k9tu+22np9lgkuD89avHVPmIndCloLQYybpDJGZmVu3gE9KMl6Cfq0wcivEhf/TjYSCkFq8CNhmm22OPfZYtnywMk7AErgQ2ZiRrRHvuusuCoTvIEDknufPP//c3ym4tqR8+Pty8803ezfefPNNb+j444/3fEvwe2RnmVEZOaVDERABERABERCBiiUgQVixl76EBo5U86dY5suhUvLrHD4us3PSSSeltIDg8YZYY8PTyy+/PM/6YRX8Nn42dKf49C00T43+tIMPPtiNuNPMWjnhhBPWSn7WWWcdD+zMSRCGhSMBkCgob9dmOYbLtGy99dbhSFkgxwUkcYnhqXiacFC3jPyOFAg15/nnn+9naykIEUjeKAlcrJ988okbJ5GlIOQSuB2uY2ghkma5F3yt3Ip8In5g90JjihU7vWIoCFk36IcffvBTlvCmSQAK7GEBdly05viJ1A9PsYaN1UX/+zuFMBaXsGcvz8q63hCvBjzfEkyRtbPMMo2c0qEIiIAIiIAIiEDFEpgTpOePEUqIQD0TILTSW0SuuEvEM7NMsJqIlbRVHOO1jjzySJxjFinqqz4SfXfnnXeGji8qonZwQ5mFZ555BoVJmpVCkSKWibMl3Xw8K8DPcCD4gtjwgH0RWXOyV69eV1xxhRfLLxFC81hKM7XPPvv4Oqi23gzBjd4Ki8oMGzbMD0n07t0bpyUJFlwlHDHDzhZhkC2zK0MjpHFJuYcqFIGRYrkeRjgTXbzaaquhiCIRszWaxZnpZcJL45mewH/LkrB+aAliVgm7DefvhaunhoXZ+CQMCg1PWfrqq6+OrAPEthC+M4SVwTgzXfEcMjPWcuxbytJMFCSsFOHKIQ5M3imYzxnHshXAnYhb1dL+038vWBiWumFItpdRQgREQAREQAREoNIINK60AWu8JUiAB1/vFUvLoND8k/nB2muRYE1IXHaWw9YR4SlP42NB5kWW6Scqla0XvIwl1ltvPZ9fx9qPTPEinz0tWFvSCmSjRsJ986jICh8IS+aG4ck84ogjeHZ3a5HWszl0aEgLX+fGKuJlurz6Y6vm4LBym8yOY4HQ8GNq0ArEhZBXJOG+OGYqRiZDchZh6YVdxnhO3gkW5ES94O/af//9zQhiCQdprk2w44L3IZyw55mRBAIMMgQJs/YPvlNuqo022ij0tUbK+2FkHVfPtwT6No7OTvHGAaHL0FgyB4FHODERp5HqdoiWc8cpHvVXX32VfCYTssCpFUh5f4a/F+yHkdKyMkVABERABERABCqNgARhpV3xUhyvO+voHBqJx33/ECOXZY/DnQYj7pfQAgqTPdk8B4kYbnIQ5vsjNZ1hcRROufsFeYBi9MLpEkQG8nzvOyV4MXaZYwlNXIWsWIPO8fzsE0hff6APpzums0CL6U5F8jMIQji4kw1pEXHcYccdUKTdRRmxn98h6gh/F+GaOD/NAosGMfsuJ2vhbYYDLXNdiLHfCbNMib9lfiaOUysf8SSnNJL5ihCgG1mDx4wQ94tKZ4AsqIuuI4bZ8nk5krKVcDbjs88+Sxm/P0n73RvWDTectHcc4VmlRUAEREAEREAEKpNA6keNymShUReLQCgkeJgOH1vDmX6Zu+cT4ShmoXQpyxPTSAion8ILROgjPijP8QRRoz7nigdu1njEQ2hnCdFM+UzvdT3BUzuFCRYlVJXqkY6hvvA+4euLi0a3kDJBxCMbtdszvSvDlCUt03dB4BCpgJcyXeFwb4ZIGYaMMCM6kXyaxjEV2SYED5VXCS+HZ2aZYFMEexHAMH1xF6uLWwy9ZGn3kWZjFgfyK6+84iWZv+npeIK3EmytwbJDdoqrw2Vi7VBcf4zR1y6KV8w7hxuM7TG9+hprrMHkUjYOQZESZsz6t37KE3SJy2p70D/33HPcyfbaggI4GFNe4vD2y/DSxJtQQgREQAREQAREoBIISBBWwlUu9TGGcaGszXj33Xfn0WOUJL4UExKhtzA0xQOxrfIfZiLVHnvssZ122inMJM1TNTGQ9izOHnFs00dEn5VJ6X6JVPdDPGksTMIHBYWvibVJn3rqKTfFbC7kKJMbvXyWCaCZdxGvHZGcHuBKdYbJ6pRmh50GWB8FV6SbZcOJY445xg9zSuDCYgofVZAfNIFuCaszxc4PCVv1dK4JVLS1gv5kvU1fTBU77jcjHb44qLEJvItoQiuG2XD9m3hdpkq6GkSYoeQ9zPiqq66Kl699TjinFHGICHSb6SJjudt512Ar2eLA5P5kMqHVSnd/hr8Xub6D8P4oIQIiIAIiIAIi0MAIKGS0gV3QshxOKFd4Gs7G5RUfJ7LBn3FdbkWKMV3QVzQlINC37EOPpaziUXnINt+0AFGUYTt4bxHXDcXsY4tz4k/jQZ/N1tFvbpnyLOXitbJPhNDYeCCsSPAhMsY+tspLjx49vEC4MIxlfv3118xvtI+rJi8fJsJAWRbGDE/hVbvkkks8B7yezjXhXkG8ke6VNSPh6po40LK0TK1w+U2cvZmjOtloxC2zfaWrQTKffPJJP1XAhLeIG5ZYYreMxuPe88NIIryLWJPGS/L2IVLSDv0mx/Wak5xOaU2ZIiACIiACIiACDYQAb/r1EYGiEwjn9aFkbNV+/B6sI2LbM/Czxl3y8C7ar2XKbdYQPO5rwkfEEiN77723/xrjVIlDwDnjVbwkyjBeMmWO7wOO8rz//vuRTFYM0eUrgmD24YcftvxwJwnmg7nN0Ntm+/5x6r333vMu4SxiMR6caTSBomZ0dorOs/IqhZn+5yudkEln3DieJY8epKHMe2mwPKkbpwlb2QVTRG+GMoZ1SnFGeRPhiqMM3PPTJRiLDw2Rf9ttt6GXWN8ldHwhnNgU0Sz4UjdWC9nPphf2QYpHdCOxrIwiXdOW71GpGMRR/NVXXwF27NixRx99tHeMhO8xSK1w2wlmAMbte0XWs4mfxYvrBXBCsqIpvm7EfHjpKcDMyUjd0LtuFnDbRsr44X777Wdl+G3yTCVEQAREQAREQAQqnID2IazwG6BUhk+IYGTxDN+I3B5h0SG+x3q6TrOavxVmyRNXX1aYKMpwHZGzzjqLfBYOCbcfIJIzbpk97s2m/0QexIulzLHNKrwiSoDlJXmCDxcmYVxMS7PqOQlCqoQCiVbQSKEvixykkXcsVGWcws+JcgiXnSTTNkn3KikTF154ISXDTygRLf++++4L64ZNZyMI0ULxLRPCFkmztYM3ERGEkZKRw2zGaAGrYcX4GDkbvhqopSBkymLYHG8QIvMz7WxcrrMXYliRdGTHS6dEwh3Fdv+Hp5QWAREQAREQARGoWAIShBV76Utu4GwIkW5jNFxYeEtq7LGvuc9jMdsDhOXDWXMsxUFwnZ0NN9Nj7VDWSglrkb7lllvCB24UXaRAhkOEDb7KsHokzXM/IYhuIVdBSKxphrlwSC864MZJsBVFfGlQ6xI9qdEBa6bQJCx/QvnIWOwQ+yzLGTZKOldBSBW8f0jWlE2QiSuYyYTeSpaCkFcMbDjptTInfDnTsA/IQvaT9JxwR/haCkIkaETMWyubbbZZuCcKMxsj3Q63o6QKLwW4KyJl7JB8d3fjLU9ZRpkiIAIiIAIiIAIVSECCsAIveukOeejQoTzrs36mP3PjJyHqzyJIs+m3Pz2HzjFmzfmjMJaZYuemiAMMp5MRROqnLIFEDEXUBRdcECmQ+ZAYPyJCidCLKCg8k7T12WefhdVzFYTUxRHKsiJ4flACBo2GUK0skxNa9jQ6mYjcsDP0hKlocaXhVVImCDTFwRjawe1J3C/TEePl8xCEGGECITGZqHS/GbgQBL6ySGykiQyCEJVF4C4TGrlwzOqMVMxwiEv55JNPdgcyeJF/yFTCmMP7gSWCzEgtBSFGuEv97mXIdJvYUSR9KEEZfrzPoTeVnRLjBSznyiuvNJJsgxl5U5CuivJFQAREQAREQAQqgUAjBunPW0qIQIkQwJuBOGQqGnOoIqGkmXvICqU2UWrhhRdmBmCoWDJXzHAWJeAL+rNRRDjdK0OtyCkewZnOR3Qo0oK9NBhaQfrmreC4Y6IdcwXZNyKlr8lLkkDlgpcq9ARQOREO7TDVjUV6mBLJCiVE5EaifMOStUnTCkMjupUmXPfWxmD2dVkYlpcRTM5kCZ9s9rLP3nK6kkxtZYojLym4jlneIZdddpkvmYOb/YADDkhpnLmUvA7gFCuannDCCSnLKFMEREAEREAERKACCUgQVuBFb8hDJpKwa9euto04e0VsuummtR/taqutZhs8rLrqqgMGDKi9QVkQgQISwBluG2biuuTODz3e3gp7hNiqQqypg0NVS4w6GSVEQAREQAREQARSTwQSFxEoUwI8E/v+EOHebnkPhzmEpgaxwHYFedtRRRGoCwKffPLJjTfeaJZZ6DWlGuQs00etDAGoUoN1cSFkUwREQAREQATKl4A8hOV77dTz1AQIzmQulm0oj5YLZ1ilrpAql70QN954Y4IhCa2084QsEsvnOzSkqqQ8Eag/AkQys+4uq9EQJ2ytMguRCaLxHhDnzCxTihGAzTTIGiOK4xaUIwIiIAIiIAIi0IAJyEPYgC9uhQ6NGXEsG2ODv+iii/KjwNMzE65cDWLknHPOkRrMD6Zq1QUBZB47oLga3GGHHVKqQZq+5JJLrBir1EgN1sW1kE0REAEREAERKGsCTcu69+q8CKQkwOaB/fv3Z0V+luVgRZBaLnbCWibsKHjYYYelbEuZIlBcAqzKy4q1No0w3hPWuSWO+sADD2TZ0u233z5eQDkiIAIiIAIiIAIVTkAhoxV+A2j4aQmMGTOGvQeYlKU5V2kZ6UTxCBDPzGqxbN2JIMxyPdLidVYti4AIiIAIiIAIlC4BCcLSvTbqmQiIgAiIgAiIgAiIgAiIgAjUKQHNIaxTvDIuAiIgAiIgAiIgAiIgAiIgAqVLQIKwdK+NeiYCIiACIiACIiACIiACIiACdUpAgrBO8cq4CIiACIiACIiACIiACIiACJQuAQnC0r026pkIiIAIiIAIiIAIiIAIiIAI1CkBCcI6xSvjIiACIiACIiACIiACIiACIlC6BLQPYelem/x61qhRo/wqqpYIiIAIlDiBWbNmlXgP1T0REAEREAERKDsC8hCW3SVTh0VABERABERABERABERABESgMATkISwMx1KzovfopXZF1B8RyEzg3HPPzVwgfvb//u//4pkNNUexDw31ympcIiACIiACRScgD2HRL4E6IAIiIAIiIAIiIAIiIAIiIALFISBBWBzualUEREAEREAEREAEREAEREAEik5AgrDol0AdEAEREAEREAEREAEREAEREIHiEJAgLA53tSoCIiACIiACIiACIiACIiACRScgQVj0S6AOiIAIiIAIiIAIiIAIiIAIiEBxCEgQFoe7WhUBERABERABERABERABERCBohOQICz6JVAHREAEREAEREAEREAEREAERKA4BCQIi8NdrYqACIiACIiACIiACIiACIhA0QlIEBb9EqgDIiACIiACIiACIiACIiACIlAcAhKExeGuVkVABERABERABERABERABESg6AQkCIt+CdQBERABERABERABERABERABESgOAQnC4nBXqyIgAiIgAiIgAiIgAiIgAiJQdAIShEW/BOqACIiACIiACIiACIiACIiACBSHgARhcbirVREQAREQAREQAREQAREQAREoOgEJwqJfAnVABERABERABERABERABERABIpDQIKwONzVqgiIgAiIgAiIgAiIgAiIgAgUnYAEYdEvgTogAiIgAiIgAiIgAiIgAiIgAsUhIEFYHO5qVQREQAREQAREQAREQAREQASKTkCCsOiXQB0QAREQAREQAREQAREQAREQgeIQkCAsDne1KgIiIAIiIAIiIAIiIAIiIAJFJyBBWPRLoA6IgAiIgAiIgAiIgAiIgAiIQHEISBAWh7taFQEREAEREAEREAEREAEREIGiEyhFQThz5szJkyfXHs2ECRNmzJhRezuyIAIiIAIiIAIiIAIiIAIiIAINkkDT0hnV33//fdFFF73wwgvffffdtGnTFl100RVXXPHss89eaaWVcurkp59+ip2XXnoJVdm4cePlllvukEMOOfzwwxs1auR2fvjhh9NPP90PMyTuu+++li1bZiigUyIgAiIgAiIgAiIgAiIgAiJQpgQazZo1qxS6jorbaqutfvvtt0hnUHRnnnnmueeeG8lPd/jggw/uu+++06dPjxTA+JNPPtm06WwB/L///W+NNdaIlEl5iEydZ555Up4qzUzTvSVyWUsTkXolAiVIIPu/ct75//u///N0g0/oL1uDv8QaoAiIgAiIQLEIlISHENG16667ogbbtGlz6qmnbr755vPOO++XX355/vnnDxw48Lzzzuvbt+8222xTI6PBgwcfcMABqMGFFloIB+D666///fff33rrrXgLn3vuubPOOuviiy82I9hfa621MhgcMmQI/Vl44YVbtGiRoZhOiYAIiIAIiIAIiIAIiIAIiED5EigJD+ENN9xw5JFHAvHpp58OhR9Ccfnll//pp5+IGsWFWCPlnXfe+bHHHmvVqtU777yz8sorW3miTzfaaKN3332XfEx17ty5RjtIQQJNx40b98Ybb/Tr16/G8iVVQO/RS+pyqDMikCUBeQgzg9Jftsx8dFYEREAEREAE8iZQEovKfPzxxwyASYOhGiSnbdu2e++9Nwn8hP/880/mQY4fP/6pp56izLHHHutqkMPmzZtfd911JKZMmfLwww+TqPGz//77jxkzBo9iodTgpEmT3nvvPbyUn332WSSY86uvvnr++ec/+OAD9GeNHVMBERABERABERABERABERABESgggZIQhL/++itD6tChQ3xgCyywAJlEgf7xxx/xs2HOq6++amuK4icM80njZuzatSsJYkcjp+KHqEeKIQWZu+hnBw0a1DH5wcfomZ5YZ511OHnllVd6Di5KclZdddV///2XFW4IYaXM1ltvTezr0ksv/cknn1AS9+NSSy1F35jfSPwqrkvCZSnvRpQQAREQAREQAREQAREQAREQgTolUBKCsEePHgzy66+/jqu+t956i1O4CtFUmUEw55ACrAiKxIqX3HTTTcnEHRc/FeZ8++23p5xyCsGlLC7apEkTP4XUHJv8sCWGZ3oC5x4nw60yiFMl588//zz66KPPOOOMZs2aoTCZkUiVH3/8cbPNNrvpppvo0tChQ4lNXWWVVSiA6L300kuJnnWzSoiACIiACIiACIiACIiACIhAnRIoCUF41FFHsZwMImq33XYbNWqUDRjpdfXVVzMnkMMTTjjBFwhNh4OdJDhF3Gko5LzwkksuSXrkyJGhbPOznjjxxBOJTT3++OOx45l5J3AnIvBYCRCh+/bbb//888/HHHMM1tCKbIPRvXt3BCqfjz76iFDS+eefn1MsgZN3c6ooAiIgAiIgAiIgAiIgAiIgAjkRKIlVRvEQPvvssyw0ShQlyg0XH6uAEqWJfmMhgeOOOy6b1dVxxzFyCzGNI7B85u9RrHXr1vEC5NA6uyB26tSJ0M2UBXLNJP5z9913P+ecc6wiSrV///533HHHxIkTcQk+/vjjyyyzjJ3q3bs3vkRWlWBZVDppyyekaw4j6U4pXwREQAREQAREQAREQAREQASyJ1ASgpDuElF58MEHM92OpV/YJNAHwPqiJ598cmaBZIVZuIVEuk3kiQINi7l9TyDDaIjDs88+Gznq+bVMHHHEEaEFuofiJbp1gw02cDVoBdCEJPBP4hrN7A497bTTQptKi4AIiIAIiIAIiIAIiIAIiEB+BEpCELK9BHsPvv/++4xhk002YU4dkuy7774jXpTdJnr27PnMM8+su+66mUdoq3emk452Fgu28Ezc1AMPPEDc5uKLL37ooYfGz+adE1F92DHJmi4/m4YyOzDlP8yGocqIgAiIgAiIgAiIgAiIgAhAoCQE4Z577okaRCkROMqegX5h2Ed+xx13ZMMG1uFkyZnM8/qYhUjFdLtTTJ061cxaMW/CEyzoQvqggw4imNMza59g04uURtLlpywcybzkkksiOeGhBGFIQ2kREAEREAEREAEREAEREIEMBIq/qAyrqqAD6SJz7UI1SA4T/x588MEWLVow6e6qq67KMAxOtW/fnp82kzBekn0FLdOKRQogR+kGc/z222+/yCkdioAIiIAIiIAIiIAIiIAIiEBDJVB8QWib8sF3iy22iFNeZJFF+vTpQz5LccbPhjns6cfhL7/84tGh4dnhw4dzyN6AKQXhjTfeyFn2gbCdIcKK2aTRq9kUUxkREAEREAEREAEREAEREAERKCkCxReEvhX7fPPNlxKN5aeb++dV2NCPNNqMhTo90xPMRSRtC7d4piXYE8I2tzjwwAMjp7I5ZLcMU5vZFFYZERABERABERABERABERABESgdAsUXhCuuuKLhMM0WQYNc/OKLL8hkudHIqcjhxhtv3LhxYjjPPfdc5BSSzxyMKZ2QDz/8MDMMCUxNeTZiKu4MZINB17SRwjoUAREQAREQAREQAREQAREQgVImUHxBiGfPwjjPOOOM+JIwrCszevRoCK699trOkVVJv01+fv/9d89k/8DNNtuMw2uvvda2oPBTl19++fTp01nHhY3vPdMT7D1ImqVN021ZwVn3Xr7zzjtekQRbRLBNRZijtAiIgAiIgAiIgAiIgAiIgAiUC4HiC0J02k033QSvwYMHr7zyyk899dSoUaP++usvfHr77LPPWWedxSn2omCHd2f68ssv90p+IhvWn3feeezgxzTCHXbYwfyKKEaWD0UQUpctAePrlLLt4VtvvcXZddZZx+3HE4stthjzD8lH/j399NM2TZGNMXBLsmsiEx3jVZQjAiIgAiIgAiIgAiIgAiIgAiVOoGkp9G/XXXdlkU/2S0ATbr/99pEuoRLvvvvudBsMhoX79u2Le/DII498JfnBrTdu3DgrsP7666fcjwE1iCakTL9+/UJT8fSVV16JQJ0wYcJ2223XunVrQkzN+JlnnomCvf322+NVlCMCIiACIiACIiACIiACIiACpUyg+B5Co3PhhRd+/vnn22yzzYILLmg5iC7mDd52220DBgzwTDtFdCj71PNZeumlI3APP/zwV199lfhSBKQJNryCGEchptz6j/VgsLPeeuutueaaEVORw7333vuJJ55gWRosT548GePLLrvsQw89dP755/fo0QMjeBG9Clo00b9112UrC8+0BIMiv1u3bpH8Dh06JGusm430jdTVoQiIgAiIgAiIgAiIgAiIgAjkQaBRyk0a8jBUwCrjx49nliBxmLWRRkwjxHE377zzsplhAfuGKTyKv/76K5IPCVdYywWxZtBK8LIWZHQyIgINlcC5556b69AiMfO5Vi+v8vrLVl7XS70VAREQAREoIwIlETIa4cUaM7bMTCQ/p8M2bdp07949pypZFm7VqlUdWc6yAyomAiIgAiIgAiIgAiIgAiIgAgUhUCohowUZjIyIgAiIgAiIgAiIgAiIgAiIgAhkT0CCMHtWKikCIiACIiACIiACIiACIiACDYqABGGDupwajAiIgAiIgAiIgAiIgAiIgAhkT0CCMHtWKikCIiACIiACIiACIiACIiACDYpAKS4q06AAazAiIAIiIAIiIAIiUCACrCJ+1113TZ06lXXU99hjjwJZrUMz33333ZtvvmkNrLjiiquttpqlWVr53nvvtfQ111yz5ZZb1mEn6sw0+5B99NFHw4YN+/fff9kjbYsttsiyqYkTJ/74449czaWWWmqeeeZJWevBBx9k++v4KbbCZvFFtlVbYYUVmjat0Cd5toIbPXp048aNDzjggIqFEL838s6p0Nsob16qKAIiIAIiIAIiIALFInDPPffwBEzrp556alkIwg8//JA9og0XfXZB+McffwwZMsTy2WysWDxr0y5D23XXXdnR2owsueSSNQpCdOPdd9993nnnoSG96SWWWOI///nP/vvvH9m8+qyzznJEXjhMoCT32muvs88+e6GFFgrzKyENmVNOOYWRIq1POOGEShhynY5RIaN1ilfGRUAEREAEREAERKAwBPAXoamwxQ5YegguDNN8reDcQ8K5GszGzMyZMzfccEP0fKgGqfjTTz8dfPDB66677vTp07Ox42XQQjfddFPfvn0HDRrkmRWS4C3D/PPPz2BxNf/2228VMuq6G6YEYd2xlWUREAEREAEREAERKBiB//u///v9998xd9BBBy2wwAIFsytDuRMYMWIE0bBWD88enro999wzs5lLL730rbfe8jItW7YMYx3ff//9008/3c9mnxg1atRWW21Vpl7W7IcZKYl39Oijjybzr7/+OvnkkyNndZgrAQnCXImpvAiIgAiIgAiIgAjUNwEUyH//+19aZd7USSedVN/NF7q9yy67bFz1Z8cddyy0+Tq3x+XwNtZcc03mQ+Kq8px4gmmfXgDX1quvvjop+bnwwgu9MO4+Ykr9MExwCuFnn4EDBzKPdJ111vECP//8M0GnflghiWOOOQZXOYO97777Bg8eXCGjrqNhag5hHYGVWREQAREQAREQARGYi8C33347dOjQKVOmdO3aldVEWBpkrtMZD66//voZM2ZQZKONNqK6lf3111+JXbR0hw4d7PnYzUybNo2FN+ywefPmOBXRIKgwL5AyEbeTshiZhCwyHD64a5gIR6+aNWuWrnAk/59//qEzlhnptpc0XEip7t27L7300iym4qfiiT///POLL74YO3Zsu3btevXqxZor8TLZ5OCDJQITO23atFlsscWWXXbZRo0axSsS/+mZFrvohykTuBMZiJ1CyXARSXNREHKPPvooPecQIAx5mWWWsWLhTwbFojWWQ6J3797MID3wwAN9YZ7bb78dwZlNTzDCPYO2JHJ15MiRVFlkkUUWX3xxOhO2SJp5nt5nGsWfiV799NNPybfZkjUWcIMMDdXKh3ty4YUX5laJuLjHjBnDLWHluZ3ivxrhrY4FLgo932677Vh6h1qsS3TLLbd4c0rkSkAewlyJqbwIiIAIFJiAvzYusF2ZEwERKBkCzz33HJIJocJymjvttNOqq67auXPn/fbbDzWVTR9ZzfLWW2+1ktTyKjvssAPKxz743DzfEqxfUn1yUVYoIfPOO+/0nHSJp59+OmInfvjDDz8QJIlKWX755bfffvuNN94YzcYD+mmnnYZIiJeP5xx//PHeAV+G1IuFuBhjnz59kGdMtHN96yVJoCV23nlnBAYz9HbZZZdNN90UvcHqNXGzYa14Gh3Yr18/FmhBrbFaDHGYyy23HJfpxhtvdNVNrRdffHHllVcmatctvP322+Tw8Zx44uuvv/ZMrr6nSfBqwA+zpEd5tPd1110HFqvLW4YHHnjA7aRLoOhQUKhcNNVaa60FN6D16NGjS5cuLE4zfvz4sCJn/RqhVPFMsq4pnUfQWrEaC1AMEXjYYYdxb9AoMhIJt8oqq0AVyK+//ro3x93rbXHFPd8S3G+oVitAh12i++8CTkJug0gtHWZPQIIwe1YqKQIiIAIiIAIiIAK5EcCVxDoiW2+9dWQpEVwlCLY11ljjyy+/rNEii+zjAaMYzhMeqb18OG/tmWee8XxLIF08p4BLkpowuP/++yPxjTgM+/fvz94StVnkIx0u8m+77TakC8rEB0UCMYZcfOyxx0KXHfnsBoFywK0aFs6Qvuiii1ZaaaV333031H6UR6EdccQRrPiCM82q4zzES+YTCMlER5HDJ4N95BDC0j4sAxOWZP8JO8QFxyuD8FTmNIIcWe5l3nnnHU+nS5x55pncCd98802kAIM6//zzUWLmhY6c5RAHHRKOSx8/ZTkpC5CJ/Lv55pu52yMVUYNId0JnLT+8k7kKEWma7k6mS0hZLKCHuSEjTegwewIShNmzUkkREAEREAEREAERyI0AsXz45bwO+wcS/eihlbi8mEFX4/KS/tyMgAwDLHfbbTdfmOSzzz5z0UJz2HzttdesXR6awyln3pk8EohAZAMeS6vLQMw55vGcaADcdHlYtioRXAy2Z8+ebhydwJA9jpFuIG+IfrS6gMX7itPSDpF2xx13XERApuzYSy+9dMYZZ/hVwAHFHhLufKMKEsWWMCFNSC2KDmnqpohvJIeP58QTOBtxlNnHoyURsZdffvnnn39u5VGefipuIWXO6quv7vloYE+nTCCeL7nkEj/VsWNHemWCyjLxqYb3qpckgZJM6Z71MikL7L333u7z5EbFjUxALKvpWC2G7y4+VD2dsXxEaagAyQwPuQG8UebTrrfeenbovyN+VonsCUgQZs9KJUVABESgVAiw2GCpdEX9EAERSE+AtR8tVpMiyAxWhWHrCJxLeAv33XdfpCAfwvDQcultJM688cYbVgBBGJZEP+AksRz0D5GWfpZVK33lSQIgeXTm1KGHHkpm+OEp3xUUBZhLtsEGG7iReALnknu0EJnMSPw4+SEy0L1byCdbDTVePXMOHXNclLzyyivBRYtszIDj0eriUH388cctjZpyDUwcIyVtPp6tvkMZJAdCxQqn+4m8dLFHmc022wwPJ2OkaVxbPrMOJ61Jjs033/yTTz7BXekG8R+Sw8dzakzgzoUecZu+Qib7KDDeGitGCoRyrkbHLNzc/8liNlyjr776CgGP39LNDhgwwNNhgtEhy7fZZptjjz02lGReJl4An7avqsp9RXQ0kZ+s/kKLfqtw+Xx5ntBJ+Oyzz7plvH9uh9sglOKU8d8IHKTp3JtuSol0BJqmO6F8ERABERABERABERCB2hDgEdz9KqgyXEBmjed4ForM0jJayx+aI9PPsMBjNA4uM4XMOOSQQywdOlV23313y8Shx8fS/EQesJmex6ziveRBPLOTygtTnZLuRmNWGOujsBimGUfCkeMNZZkIcTE/jXmGVpF5fawawgQ/O8TTZRGwV199teV06tSJaFUTveTA+ZFHHqEYaWziJMTNaCXjPwk3dYmLboGhIWIzCWCisvwFHE0wWzJuIY8c1NF7773nFfEx4umKbEzvZzMkwi3pUbZop9CBHKn4yy+/sEwOmUg7hKjjInTTS6LZPB0muJp0GBdfmBmm4wVQm776Ea5aZgBaeeYTEkfqYas2P5BTXFM23jDJyt2LujPvN2rQ15vxO9mbZrKopXmbQESrvzjwAkpkQ0CCMBtKKiMCIiACIiACIiACORP4/vvvvQ7RjJ7OKeEhkdQKBYAZYU0XVJmt2Mm8LKIoW7duzSkXhEQ/8vydskXiJJFDdgo18vDDD7N8ZcqSnunRm+SgtSi/7bbb4jTDUcN8tnBKm1fJPhHiQj+HFddee21WrLGoTpMZKG1fMZXpfxH/GDkmCDGCiM0gCMOpd7gZQ8FMXZyH5513nk1Q/PDDD0nkIdvCgVg60gqhsIyXDrtvM14lZQ4K0PNxQbs/0zPDxFNPPRUekkZo4bLD0er5NlI/9ARqP4MapFi8ABI3Mm+WYrgEEXihA9BbRDHiNbXLARAS5qz2O5kBRu4KDIa/ERiXIPRLllNCgjAnXCosAiIgAiIgAiIgAtkScNcTFSLPsoSMMl8uG0M+C4vC8803X6QKahBJZitM8nxPWCOHROX5+h9xp4pZwEV58cUXu7WrrrqKaEk/TJdgpRbWMiGc0gogJ/iwIgsd22STTVhGkhmGrHyTrnrm/BBXt27dwsKIgbC3nAp9WS+//DKLuIblw/SQIUPCw0h6+PDhnsNMNk9bgnER2IlvjUPENktZ5uH5jNjk8Mgjj8T9iO8XEc5qLjYr8oYbbkD3prtecSPkeMQsaa5LNmIVbi+88AKqDA8egi2yMlDKVshEYKc7ZfnpCnBP8p6CC0RMKeu44sfLYIcXCq7PEY0RQciyqO5ydCPhb0T4m+IFlMiGQONsCqmMCIiACIiACIiACIhArgQ81JOKeEIinyytuR+M8kR1xmuFfjnzvbhThcIpBQbOKA8upQwxluE8ungTnkNwIxMa43vl0Um0DSoXP88dd9zh5XNKhLjiO9FFTKGmIjnpDjMLwlCipBR7oQ/KlXC6trLPx0mIzw0nbTiFzzcXydJOSAxXcOZauBOZqcgcPAI48RYStmpqMOKuTGmkxsuRsgCyk1uFDTzYIQP/qqNO1yJxwu6CtjuZdwT+miDlncwLEZfBthJvyv4rMzMBeQgz89FZERABERABERABEciTQKgl2NrbH3YxxxqPWRpt27atlyQ0lFUu/dASTGxjOp9NVmRdGWZh4QKyU7i84uKNyEz8eL6oJp49ZuhFbGY4xBeEVxBJiVuSGXeRWE2C/dgwnV3jMJvBSMpTIS68PRmcflQP5zqy2CYbPKa0SWaGeFHOhhobh1s8aBZ3q1sOr4VnZpNAlLqw56KEsZ14dN2Cix/PyZxgER0vgAPN0ykTrK/jkzxZ6hNnLxPwbJkWFmhNWaU2mXBjaH/99ZcZoQlapDkCmFmSJ2VwLKoSJ/OTTz5JFYgxz9DXDkX1IRfj/cG5ynsWyw8vZbykcjIQkCDMAEenREAEREAEREAERCB/AuG0K+IqWcElD1usmOK1EBXxqDnW3mCnB9tzj6UjWV/Ut/yOO1XwouCxcV8K6z2y/orvXeEN1ZhgaU0+CAzWpWQve+YThjGceLryEIQhLtZijayg87///c+WkcQphK4INQxKssbVRNONKJSd7CUY6TZy1wUhkzPDa5HOYMp8InJdAkEsHFq4Rx9hnymrp8xkbqQHWFIggyTmLPofN53ZYVkXFra1BWbI8X0v7GyhfnIPuBo86aSTLr30UuJ+zXgYphtpjkWSTBCSz+sGfIxWgNV0U8J3mU2xlAWsun5mJqCQ0cx8dFYEREAEREAEREAE8iQQihZ2eLMVFHO1FbrCmMOWsnoYNcriK/4gHtkhAO2Bb9CVG15KPIo5iRCWxsEdx4f1P5hTxyM+aWb3od9c8NDDiNswZZ/jmSEutnwIC7C3BevW0Cgf256B2FRbPodiSCybhudVbPES5ASfDPKD8qx94rWuvfZaW57Hc9i4z68aTeehnM2Ub7LHITtYuH0S99xzjx+yB4mnMydQdKECBF3mFVAJEHWfMC5KV4O0EulP5nazP8st4YV5B+FqkJcRoY71MpagpN+QvlQsp+KvNqx8+BsR/qZEzOowMwEJwsx8dFYEREAEREAEREAE8iSAfHKvBbvzsZQIEZXYYj0PQuNYQcQ++PQyNIDfzFfOwIWVsiSxf+5ec2soKPZRCMuzMbqvvUk+Qg6JyK4M4SfzFoLEOqK++LAJAZsE+H4AzEYL59eF+ifsQOZ0iItRsGuiLRNChOo+++zjdbfeemvSCAyfBon8Yx8FFzwoQHTF+skPYYoTJ070uvEEy7T6WjLoWPQhnjeGQ9NM8PNgWpo7++yz49WzzCGe07d5uOKKK9hukVZYZOXcc88NfZs4XVMaxGl2QfWH3Tgotuaaa7rrkipcSldcKS24eOYs67u88sorXHpmFRK9Ga4ymrJufplhi7RispyXEey9ab8FKc0SVu3r8SJ6bRlVAly5TCnL+28Ed2a4o2bKwspMR0Aho+nIKF8EREAE6oMATwP10YzaEAERKAYBfB08xiNsrHGWDyHGkgfl0A2FUwjllqF3CAkEgO0ZwMoc6UqyjRsbJIRn404VYvDCAgcffHB4aGl66zPN4mex+dBDD5nTDH8aC6XiqaMYq5uEuisSeBm3kzInguuW5Ic1S0PLSGjXBuwQeN9995mPiHhIOoYqpiehSxAl6dugp2yUyWks74n3zwaFWOKKsJtfuKMDFZkYiQZLaSGbTKYmsqU7gaMUJvDVxF2kIn044IADIpl2iK+MT8pTZFILx2+6s5bPZeLdhAlseLL3ICoLCe0T8KyYLTOT2VSWZ/v27evLC3GZ+HDn41WOVI+3SNRoZAFe3p6kmx/ovxG8EwklaKQVHWYm0DjzaZ0VAREQAREQAREQARHIm8BBBx3EGp7uvUF1hGoQrcJqiu47StcKbi47hd8s8gTvVcKoUTLROUws9LOFSuCdQ8y4NcZi3sVQs+HC2m677bxMTokILuqGltF7LKPia1SyBsmDDz7Iaj3WBGoHeRCqQZggKmvsAO47IlTDBWMiapAtQ2rvRrvwwgttH4WU/eFOIHa0xjshUpfyRx11VJZrk/bv3z+sjnfX7iU8vX5/suCQe33Dwnmk99tvv4gUNzXIhiJhJDPe8ohxnLQsShRmxl9t+Fkc75b23xE/pUT2BCQIs2elkiIgAiIgAiIgAiKQGwEe2ZlcxyoveDDwO3ll5jsRIPDBBx9Enn29QJhA2tkKpWgeX3cxLEB6qaWWCjegJ14y5SYKkVp5HLIFObrUu+QWEBU8yrPADCGRnplrIh0ulo1hOh8xli7/zDJrjZCJ8MPf5W3RE4bP1DgklqtHP5sygbOUwFSCFcNrREliX1Hs+B59YlvK6tlkYpnbgC6x8YMLP7rKqjYQQxdF4nvT2SQ2El/fyiuvjPD+4osvcI26tXRVLJ81jZDHIUBiLFmQluWOPNhy7NixBMpmtpPlWfx1GA9dlzh7iZrGBxsKwnPOOWfUqFGhTZiEChChHs6WDEuyHM7XX39NDgTwK4anlM6JQCOfKZtTNRUuWQL8FtE3XdaSvUDqmAhECOQRMkqUVMRIgz/UX7YGf4krZIBEx/3000/sD8GSHigcu7GzHDtP82wlT2EepnGLpax12WWXnXLKKXaKoLt08Ycp6+aRycMGApWZbPjTunTpwgbuWaqvLNsyXDTBiiksjJm5Fn3Au8VqOihtFmKN6LrMdcOzLE7DPDcWPkHPYKeO1inBC4dnlXYRh3l3Nex29mm8guxHjwYjiDRcWiZ7C7mWZMYgSHFZ4zDMcrCsIeQLse69997hujth60ThErdMDo7rSDh0WEzpGglIENaIqMwK6LGpzC6YulvxBCQIs7kF9JctG0oq07AJsAaJLUGJK4yn+ZT7gJ966qks7g8HnEisDZOyTMOmpNE1DAIvvvgi8wZtLLgZN9988/i4WBQH7zrvCzj1xhtv4BOOl1FOlgQUMpolKBUTAREQAREQAREQgaIRIKjPJubhXGIRlHg/iMRj0RrL52FaajCOSDllQYB3GYQlW1cJjk23ncbdd99tarBfv35Sg7W8shKEtQSo6iIgAiIgAiIgAiJQHwRYo9Ii7q6++upwtUZmWCEX2Q/w77//tn6ccMIJ9dEhtSECBSXAxh7Mg2XVGeZGmuFjjjkm5d6PBL7aGjlEol5//fUF7UUlGpMgrMSrrjGLgAiIgAiIgAiUHQEWHWHTebqNYyRcWHLIkCEsSeKrj7KMBxsYlN3o1GERYHotjm5/2cENjyBMiYVlfrjtOcUqNfltepnSbMVmah/Cir30GrgIiEDxCeQxgbD4nVYPREAEikeANWMIqGPhk3HjxsV7wcorrMBh0wjjZ5UjAuVCgEmwhD2zgGq67QeZRsvOkCwuGtl7s1wGWGr91KIypXZFatsfLb1QW4KqLwL1SCA/QahVRuvxEqkpESgDAkSKsipmmzZtEIRZ7kBQBqNSFyuPAPNj8X6zVi13Mpqw8gAUbcTyEBYNvRoWAREQgTwIVKAazIOSqohARRFgozY+FTVkDbZBEmAFXTbDaJBDK/FBlegcQt51sflMQdhNnz79t99+Y1+aGq0VsNEa21IBERABERABERABERABERABESg6gdIShJ9++inbrbZr146IYSIf+vbtm24nyuzBEWHM3q8Zltuqi0az755KioAIiIAIiIAIiIAIiIAIiECxCJSQIGTzHFZMfvjhh82bRxjxZ599tu+++2677bazZs3KD9ADDzxw7733ZqhbF41maE6nREAERMAJ5DeB0KsrIQIiIAIiIAIiIAK1J1AqgvCFF1446qijZsyYwUY6t9xyyzfffPPWW29ttdVWjPCZZ5655JJL8hjq0KFDDz/88AwV66LRDM3plAiIgAiIgAiIgAiIgAiIgAiUFIGSWGUUHdizZ0+2E2EjEXQgKwsZIxyDrDn70ksvtW/fnp1JWHQoe3bYXHvttQcMGGBVCBy97bbbwup10Whov1hprTJaLPJqVwRyJZCfh7AyF5XRX7Zc7y6VFwEREAEREIEsCZTEKqNPPPGEbS6JZnM1yAB4AjjjjDMQhOPHj3/33Xc32GCDLEdFMZ6ZUIO9e/em7ogRI+IV66LReCuWM2nSpM8//5yedOnSZcUVV7QnGzvFTrLDhw+fb775evXqxc90FpQvAiIgAhCoTDWoS9/gCYRfiw1+sBqgCIiACORBIO8JdNm0VRIho08++SR9XXrppVddddVIp/HysSEJnzXXXDNyKsMhbkaiTFm79sEHH2zRokXKkjk1OmjQoI7Jz08//RS3ts4663Dyyiuv9FPvvPMOOQyHtVIvuugiVrWhzNZbb80yOQzzk08+oeQbb7yx1FJLESJLZOxaa63VuXPnU089tVBrq3pPlBABERABERABERABERABERCBdARKwkOIfqN/2223XcpeoqxS5qfLZG/WvfbaC2V16aWX4iFMVyynRokvHTt2LKZmzpwZNzhu3DjOTp482U9NmzaNHCJdjz766BtuuAG3Z79+/fCC/vrrrz/++ONmm212wQUXcIpOEiWLcP3iiy/YHoMOs/sKcyndjhIiIAINlUB+8aINlYbGJQIQqNP33yIsAiIgAmVKoB5iKIovCAmkZJ9ArlDXrl35iV569tlniaLEq4b3bI011sh1r1WmC6K7mHyI4kp34QveaMqGcCeiBgnxOvvssxs3boyYZPeLa6+9Fq3IajdMm3zssceWXXZZ6uKBXHfddZGyt956qwRhSpjKFAEREAEREAEREAEREAERKDiB4gvCYcOG2ag6dOiATLr55pvDd4TIQnaGYOeJLEdO4aeeemqBBRa48847M1QpbKPpGsIBuPvuu59zzjlWoEmTJv3797/jjjsmTpzIAjmPP/74MsssY6fwZCJf8Rh8//33DD/zm4DTTjstXYvKFwEREAEREAEREAEREAEREIHsCRRfENqug/T4vPPOY7eJVq1aMdFu8cUXx1XIlvGjRo0ilBS/2UEHHVTjqAYPHnziiSdS7K677kITZihfwEYztMKpI444IixAdOiSSy755ZdfskCOq0ErYNGt7L6II7Fp00zXBVUZ2lRaBESgQghoRZkKudAapgiIgAiIgAjUJ4FMwqN++uFT71CDyCQ8exY7SusIp5133vmHH3446aSTttxyS7yFGbqElMIdN2XKlGOOOWbzzTfPUJJThWo0cyucjag+ctCEGfJrNEiBzLsyyn+YDUOVEYHiEtAEwuLyV+siIAIiIAIiIAJOoPiC0HcXXHDBBZlTF269wBxC9CELjU6YMIFIS7ag8H7HEyeffPLAgQNZoyUbB1qhGo13I5LTvHnzSI4dpstPWTiSyWKkkZzwUIIwpKG0CIiACIiACIiACIiACIhABgLFF4TzzDOP9W/XXXcN1aBlsh8DezPgJGS/vgzD+Prrr6+//noK4B5kxc6w5NSpUzlk44r//e9/JNgJEA9kQRoNW1FaBERABESgwgn8/fffua6CVktiTDHgO65169a1tKPqIiACIiAClUyg+IJwkUUWsQvAqpspr4QJQlZbSXnWMn1O4MEHH5yy2DPJD6eYZHj55ZcXpFFviEViPK2ECIiACGQmkF+8qCYQZqZarLP8/WcboVdeeYUXl6SZvs6E8P3335/dj7Lv0h577MFmRenKExWyyiqrhGdRnuxw+8ILL3z33XdUZL+iFVdckeWsV1pppbCY0iIgAiIgAiKQDYHiC8KFF164Xbt2BIWyfkzKHtsGgD6xMGWZXDML2ChfxmySkWsHVF4EREAERKDcCXzwwQe77LILGx35QEaPHv1G8nPbbbcxCSKbfXR///33Bx980C3EE2jLUBCy3NpWW21l2zVZ4V+SH3ZsOvPMM/N73RBvVDkiIAIiIAKVQ6BxKQyVtWTohu0UH+kPrj/26COzT58+kVPh4eqrr85uDSk/rOpJSTYntLO4B61ifo3GnYFvv/0220uEnVFaBERABESgwRPgbeB+++2HGmRdaKa4f/TRR7wcfPnllzfbbDPGzldDuoiVCBlci5bDvrvMkoh/2JPJq+AbZHoFarBNmzYszf3xxx/jJHzkkUeYP883ETlEw3hhJURABERABEQgGwLF9xDSS6JlnnzyyXfeeeeBBx4gHfabUJlJkyaxLx8vRD2fb0R7I8ucw86dO3t+TomcGvXJjXRyhRVW8IaYv0GUjh8qIQIiIAIiUCEErrrqKtNybHS055572qiZj7DJJpuw4ZBtios822abbTIDYY8lCjD5EH9j5pKcvffee4cMGUKCr0u3vPTSS6NCWYbtp59+wkPo+TVaUwEREAEREAERgEBJeAh33HHHlVdemd7ss88+LJLJYqE44gYMGLDTTjvddNNN5B955JGrrbaaXzBewfZKfmozqSanRhdbbDGL/EH+Pf300zgb6QzvZTfeeGPWqvEZid5DJURABEQgJYH8Ivpq87cuZTeUWXsC+OUwQvRK5D0mmYSisKcuCd4h1tiQqcoePXrUWJICuAT5yaTBiOpDT+69996c4guUTZiyMVVjGd7Gvvfee88999xnn31m33pehWXenn/+eRTsuHHjPFMJERABERCBMiVQEoIQByBzLZBVONzYNILvV77biAJ9/PHHwbrttttefPHFBeeba6NXXnklfWCu43bbbccipfPPPz+r4Lz55pvM2dh0000L3j0ZFAEREAERKFkCxGfa2tf9+vXj2yTST5b9JIaTzMiq15FidmgewiwFoUXHhEGkbpP1bEhPnz6dVbUtkwkXvMrkg+fQi3linXXW4ZR9tVkm8pWcVVddldGxaA17/1Jm66237tu3L07ITz75hGJMkGSlN7yRhO0Q3UqQDoE8mjfhVJUQAREQgXIkUBKCEHC44NiG/uijj+bbyDgyQQJNyFT7p556yneJsFOdOnVaN/nhK6pG6LgWKZvyuzanRnn5+sQTT7B8HN/97GvPa9Fll132oYceOv/88zFOE1jzzhBiaj1s0qSJZ1qCVeA41a1bt0g+X/BWJf5sESmpQxEQAREQgeISYOYCogilhGRK2RPca+TPO++8Kc+GmaGHkMXVmHzIdES+ZcIynrbvMnZactXnp2wePq9TEXKWOWPGDFZl48PLVi/mCb7FOBU2xKxIcv7880++i5kVyYa9yF3WYKMKqpWoVGJ2eAE6dOhQ5C7r3FAA/XnppZfecMMNblYJERABERCBsiPQKBIHUvQB8KKRVdqIeGFZ0caN60mv5tTolClTeEeL5Ev5jrboAE1PltplLToWdUAESoFAfvGi9Fwho+X1lw3nIbPN+TvMG0OiSDLfe4hG5OXxxx/P8qEeYsrXH4Lz2muvXXvttcPqTFVAhaI2WRftvvvuM+2H3rvuuuuwYLfKOeecY1XwT7IdBWk0Z/fu3S3Tf/J+c/DgwWEPX3vtNeZB0DTfidxyTJEgjfETTjiBnlhFQmOI6OF9KId4IHmPiYAkrodXum45j0R5Xd88BqgqIiACIpA3gXr4C1kSi8qEgPj6WXDBBcOcekjn1CgzQ+LfrPXQSTUhAiJQmQSkBsvruuN5Y40Z1CCxLYcffnjmzrPnBGqQMixRYyUJwuStKJLs888/x0F31llnhe8R8BCyvQQLjRK6yRraiEb0JMJs5MiRPDEcd9xxtb9baHr33Xd3VUmcC1M57rjjDub24xJkKscyyyxjXUVS4kuke2wUzHjtkSXdeG+55ZZ0p5QvAiIgAiJQXAIlJwiLi0Oti4AIiIAIiEDeBJhYfsABBwwbNgx1RIBljYEkFi9Kc8wAvOaaa1ihlAnqOADZdP6YY45hewk8eBtuuCHK0LtEmg0tmONHuAqrmnk+8xFOPvnkzKrMC2dOsEpqWKBly5aIT3yAuCVdDVoBNCEJgnpwJLL9Rlgrkj700EMjOToUAREQAREoEQKZ/nyXSBfVDREQARFoAARCP08DGI6GECHALLtTTjmFLZTIJ5CEGE7fiyJSMjxkDh6z8vDCXXHFFURj2imm0O+8885M0kN9ofpYZ5u1Q+0U7sTNN9/8/fff5xD1SBk8hMSREsZJxCkW2OiCMM6wiTzSEdWHBTQhP9PlZ9PEIYcckqGY/IcZ4OiUCIiACNQ1AQnCuiYs+yIgAiKQP4HaRwDm37ZqZkeAdVkuuOACFB2LslCDZWZuu+22bNY8o/D6yU/KdhZffPGjjjrqsssuIyJ0/Pjx7du3pxgiEzWIPCNwdKONNvKKrMXNXkrsEsHinyw5w74UfiqPRPPmzVPWSpefsnAk8+abb47khIcShCENpUVABESgngnU06ot9TwqNScCIiACIiAC9UCAmX6sH4MeQw3ioMNDyMIwWarBGru3xhprWBnzELJWDTqQHCb4hWqQHCJOWZS7RYsWzPTz6Yg12lcBERABERABEYCABKFuAxEQARGocwKKF61zxMVoADW43nrrMQ+Q9WOYAYgrj41qC9gR383or7/+wqztBEhiiy22iLfCXr6s9kk+u1bEz8ZzkI7xTOWIgAiIgAhUIAGFjFbgRdeQRUAEyoOA4kVL+Tr98ssvbM2HVGPlzxdffHGJJZbIo7ePPvooy7GwNIutzhKxQBOWY9s8sP6nHbLvUaRkmM/2gynPhpn4M4cPHx7mKC0CIiACIlCxBOQhrNhLr4GLgAiIgAjkT4AN2dkfolOnTsSI5qcGafvGG29kj4fDDjssZT9s8Rj2mjdXoW0qSEnWj4mXRy6y8SD5LDcaORt3Br799tsuLyOFdSgCIiACIlBpBCQIK+2Ka7wiIAL1TUDxovVNvO7bY7XPe+65h3bY6YH5e9k0SJVvkx/2HvTyqEHSCD+WCfVMS1CWpUpJs4+FbSax3HLL2dIyZ5xxBjs9RMozjxGBSqbvZe+ORN/v3qrgk2TT+Uh1HYqACIiACFQsAYWMVuyl18BFQARKmoDiRUv58nz88ce2oTyrvAwYMCBdV9FmbBZvZ19++WU2kyDNjnxsUWiZCMIrr7wS7bfPPvuwOiiLiHbp0oVtDCnMDTB16lTWC2UJUyvMIp9U3G233QYPHrzyyiuTv9pqq7FHBdWvv/76++67j2LsRWEikzR+xY4dO44ZMwb5R3qbbbZBWLJHxeGHH84Ghsw5HDFihFnWTxEQAREQgUomIEFYyVdfYxcBEahzAnIP1jniYjQwZMgQa/bdd9/N0H7mvdqpyGo0Tz/99Oqrrz5u3DgUIJ/QGquV3n///ZTxzF133ZW1Rvv3748m3H777T3fEqjEu+++O9ybHrWJ1JwwYQKr3bRu3ZplSGmIwmeeeeaoUaNuv/32iAUdioAIiIAIVCABCcIKvOgasgiIgAiIQK0IsJV8Nvu/hzu5M9vQqkQ2peDw+++/Z0YiMagWTdqsWTN2sNh6663POuss2xE+7OuFF16IkxBFx2qiv/32G6dQepQ/4ogj9t9//8aN55oJsvfee6Mn8RAiINkvkQ/r02AWYckOh/THZieafUJMrYeMLmyRNPMS6Um3bt0i+R06dLAqoQqNlNGhCIiACIhAiRNoNGvWrBLvorqXEwH7VtZlzQmaCotA3RHIz0MY8RTVXffKxXKF/GVDsKHxCBNFE2ZzadiwnshVgj9r1GNTpkz59ddfkXxIuGws13OZCrm+9UxVzYmACDQMAvXwF1IewoZxq2gUIiACpUggPzVYiiNRn+qFAL6+uBcuQ8usMWPLzGQoY6datWrVvXv3GoupgAiIgAiIQAUSmCu2pALHryGLgAiIQKkRkHuw1K6I+iMCIiACIiACDZiABGEDvrgamgiIQDEJyD1YTPpqWwREQAREQAREIDsCEoTZcVIpERABERABERABERABERABEWhwBCQIG9wl1YBEQARKgEDe7kHFi5bA1VMXREAEREAERKCCCEgQVtDF1lBFQAREQAREQAREQAREQAREICQgQRjSUFoEREAECkBA7sECQJQJERABERABERCBeiEgQVgvmNWICIiACIiACIiACIiACIiACJQeAQnC0rsm6pEIiEA5E8jbPVjOg1bfRUAEREAEREAEypWABGG5Xjn1WwREoIER0HIyDeyCajgiIAIiIAIiUBYEJAjL4jKpkyIgAuVBQO7B8rhOddPLCy+8sGfPnoMHD87D/M8//3zppZfuscceK6200nrrrXfsscd+/PHHWdoZN27c6quvTtO///57llVUTAREQAREQAScQFNPKSECIiACIlAsAnIPFot8odqdNWvWTTfdNGLEiClTpuRkk4o33njjqaeeOnHiRK/49ttvX3fddcjCK6+8slGjRp6fMnHwwQcPGDCAU9OnT09ZQJkiIAIiIAIikIGABGEGODolAiIgAjkQkHswB1gNrmj//v1Rg3kM66qrrjrxxBOpuNhii+211149evT4/vvvH3zwwSFDhlx99dVt27Y977zzMpi99dZbH3/88QwFdEoEREAEREAEMhNoxLvJzCV0trwI2LtkXdbyumrqbcMgkLcglHuwxhugZP+yTZgw4ZNPPrntttseeeSRf//9l4EQ6rnyyivXOCIrMHTo0OWWW27y5Mkbb7zxY489Nu+881r+pEmT9txzz6effrp58+bffvvtEksskdIgp/r27Ut1Ozt8+PBFFlkkZckSzyzZ61vi3NQ9ERCBSiBQD38hNYewEm4kjVEERKDOCeStBuu8Z2qgzggceOCB7du332ijjR566CFTg7k2dfPNNyPnWrVqdfvtt7saxEibNm0QmfPPP/+0adPuuOOOlGanTp26++67U32ppZZKWaD2mbxbDANZQ4NI1vyGHBpRWgREQAREoBQISBCWwlVQH0RABCqXgNyD5XvtW7duTZynfTp37pzHQL788ktq4VFcdNFFI9U7duy46aabkvnss89GTtkh0w6/+OILPISnn356ygLDhg3bKfn57bff4gVOOOEETobhpgMHDiTn6KOPpvA777yzwQYb4J8kZrVdu3ZIX5auIZ91aw466CCU6jzzzINqpecvvvhi3LhyREAEREAEyoiABGEZXSx1VQREoEQJyD1YohemjrvFui+ILvvgJMyjta+//ppa3bt3T1m3V69e5FNmxowZkQLIsGuvvRZJ9sADDzRr1ixy1g7Hjx+P3uOT0sv3yiuvcOqbb77xuog9crB87733ogbffPNN8wH+9ddfeCnJQTGusMIKODOxTAjTP//88+mnn26xxRavvvqqG1FCBERABESg7AhIEJbdJVOHRUAEGg4BuQcbzrXMayS4Aak3cuTIlLUtn7VDf/nll7AAHr/99tuPeE5WnVl66aXDU7VPYxwfIFtffP755wSsohj79euHWfNGIg5ZE3XMmDEkiHdt2rQppzIve1P7LsmCCIiACIhAnRJI/CnXRwREQAREIG8Ccg/mjU4VWVEG3YWfDSceQZghEMTY66+/bjksXeOn0IH77rvv6NGjd9hhB5Sb5xcqweTAVVZZBf9h48aJV8Zsb4jzk7BYdCmfJ554YquttrK2DjnkkM8++wxZOGjQoBpbf+2112osowIiIAIiIAJFISBBWBTsalQEREAEquQe1E2wzTbb3HPPPTjcmBB4/fXX21JyYJk5c+ZJJ530ww8/GCJEmrO64oorUGusJsqGE55Z2MTZZ59tatDMLrTQQksuuSQrmq666qquBu3UOuusgyAkgpSgVvMWpusJy6imO6V8ERABERCB4hKQICwuf7UuAiJQ3gTkHizv61fs3u+4445bb701y8bccMMNX3311S677NK1a9cff/yRmYE431h91La5b9GihfWUzDPOOAO1hoxkZZc66v5KK60Uscy6MuSwgE3K/EhmykPWYk2Zb5nyH2aAo1MiIAIiUNcESloQMrWdOJltt92WL8WcQPBulS192dt3gQUWYFI+i6RlXz3vRrNvQiVFQAQaBoHaqEG5BxvGPVD7UbBGywEHHPDcc8+9l/y4wRVXXHG33XbDc0iOfYvhJ2SfCUJJyVx//fW9ZMET4QYYofF0+WGZdOnMC8+4azRddeWLgAiIgAjUHYHEDIHS/Dz11FOsXcaX39ixY7PvIS9TeUTjS6tHjx68dl1ttdVIb7bZZuFCahms5ddoBoM6JQIiIAIiIAIZCHTq1AkP4aOPPsrMQEQg+0+wiAsriA4YMMA3+ltwwQWxwPYSvOhkp4fzzz8/g0GdEgEREAEREIGcCJSoh/DXX39l16OcRkJh1ODqq69O1A1pXjcuvPDCiEkyX3755T59+rz00ksbbrhhBpv5NZrBoE6JgAg0YAJyDzbgi1v/Q7MNAyPtjho1ihym8LVv354EapCfrPYZCXtx3ejbV/Ddx44UFM7wwdOY4axOiYAIiIAIVA6BUvQQ8t221157/fnnn7lehhNPPNHU4CmnnMIc9+HDh7NuG29eu3Tpwnz3vffeO4OzMe9Gc+2kyouACDQAArVRgw1g+BpC/RB4++23aYilXMLm+DqbOveHxT+tgGezEmlYJZ7mKy+ylUW8jHJEQAREQAQqhEApeggvvvjit956CxdfjV9p4UVi3iCT7MkhyrR///52ipn3LIl29913s74Zr1pxEu65555hLU/n16hXV0IEREAEsiSg2YNZgqqEYsxTYC9BvqqefvrpiN+PXeC//PJLILASqaG49NJLTzvttDgWpudddNFF5D/yyCMEoJKITLx3xeh12ewe9eiHSoiACIiACFQygZIThMyaOOecc5o1a3bkkUfyNZn9tWGWoC3Mvd1220VqESnKF+3ff//98ccfpxSENTb6zz//sOwbZtkCuHnz5hH7nKJA586d7ZuYs/Tkp59+Yl24pZZaisN3kh+clvgq6V63bt3MwrBhw5555hk8mfPNNx9BrVtuuaUm1kfY6lAESpCA3IMleFHKtEvs8mduwPvuu+/www/3UeDBs9uMpUSJJrV8via8QJgYMWKEHa6xxhpsR+GnXBaiLVlfzfNJmIAMc5QWAREQARGoWAKlFTL6119/7bHHHsTDXHDBBfHlrTNfJFubmzK4CiMl8TSasxHZFjnFYTaNsv8S2wfzSRljg8bjFHsxufEPP/yQnM0335wg1U033XTdddc966yz2DyKoFZWu7HNo1gVALl47LHHXn755SwjzhI4fJfTGTeihAiIQAkSqKUalHuwBK9p/XSJdURZG4aPLRxqjSIIWfyM9Mknn/z8889bJtsSHnzwwY8//jiHZ555Zt5rezKl0DQhX0BMkjfjSE22GWSved/KwvL1UwREQAREoGIJlJYg5P3o0KFDWU2bDXlzvSS+vQQxM5G6L7zwApMJyYzMxLBitWk00lDkkCn77JnB9kr85At41113JS4IuXvEEUewmDg57Dd19NFH8xzAnr/UxVHJ13bEiA5FQAQaDAGpwQZzKfMYCG8kf09+2E4prH7//fcj+YgrYYLD4osvzstENky64447KMM3xXHHHRcWzindpEkTvm6owmo0KE/eUW6//fasYsrrSHYFxHhO1lRYBERABESgoRIoIUHIDEC24iU85t5770U45Up8nnnmsRgYpmQccsghP//8MxbQgZjdb7/9SKMGcT9GzNay0Yi1yCGxoJ9++imzO+gSXgXeyDKbkTJowocffhi/ImE8rC3OtBDWwrF4HrRrxIgORUAESodALd2DpTMQ9aR0CPBC8P33319nnXXoEt9cgwYNIqSFeQSXXHIJWrGW8wiYHn/MMccwC4NvQ2bR82WEJj300EOZrdC0adPSgaCeiIAIiIAIFJFAbgu31F1HmYa30korMc2PIJkddtiBhphQwbqgJJBV4aSIzH0gGpP3qZMnT6YYoTIeR8ocDE7Zyt1uIftGWeab7aGo+MMPP/i63m6nd+/egwcP5p0rsT2WiVeQZWxI4waMPEEyz5BwIHQvpvjpRpgwefzxx/NCF79iZj3Md7nXiiduueUWMi1ENn5WOSIgAnkTiPwu52pH7sFciYXlTRc17L9s3333HV8lTBwgeGSttdYqYEjnb7/9xrcYUw3RmVgmbDVkWwrpSri+pcBZfRABEShHAvXwF7IkXhCyABq+O9QgsyZMDeZ9tVjxBR1ogtDVINY6dOgQeZIoYKMZekt8TuQsEUEIQsJiQzVImSWWWIKfTIBkgkdmQWiSL2JWhyIgAqVMQGqwlK9OifSNGeZ86qIzKMDNNtusLizLpgiIgAiIQAMgUBKCEMca63/yRZjTsqJx+kcdddR///tf8pkpsc8++7Bky+jRo9977z3MsuLLm2++yW4W7PBrFQvVaLwbYY5NDgxz8AFymC4/LJkuHa5eEy+T2X8YL68cERCBbAjU0j2YTRMqIwIiIAIiIAIiIAL1T6D4gvD111+/7LLLmOHAZInWrVvnjYBZeaYGL7zwwv/85z9uB3G47777rrzyysyqP+CAA1588UVOFapRbyVdIt30j3T56eyE+cyQDA8jaQnCCBAdikDtCdRSDco9WPtLIAsiIAIiIAIiIAJ1RKD4gpDNGAjmZF01Fl/h4+NkwoOlb7jhBlt0mz0b0I1eIJIwNcg+gfF9e8lEIp5++ulMqR8yZAjeuUI1GumDDkVABERABERABERABERABESgjAgUXxAyZQ5enyU/KcGxSJrlExGaQRCyVSDFVl999ZQT8NZcc00zwv71CMJCNWo2//jjD0vopwiIQMMjIPdgw7umGpEIiIAIiIAIiIATKL4g7NOnT8r94lka2zWeLbZms++865EEi6chzFiiM5Jvh57frl07cgrVKKZYy5uZiikbVaYIiEC5E5AaLPcrqP6LgAhkJlDLv3KhcYXHhzSUFoEyIlB8QcgufCl5+bYTjz76aDbbTrBrBbMEP/zwQ7Qfa41GbLKcDDk4D233iFwb9Sl/aL/IthPsLhhpS4ciIAINg0ABn5MaBhCNQgREQAREQAREoOERyHn/91JAMHTo0JuSn3fffdf7s+2225JmV9+TTz7ZIkL9FCrx8ssv55DNHti/3vOzT7giRZ2GtUaOHHneeeeFOUqLgAg0DAK1V4N6Wd4w7gSNQgREQAREQAQaNoHiewjz4Mt8w8MPP5yKrKi5zjrrmIXddtvtySeffOSRR6699toPPviATe1x5RF3+s4779xzzz1IRGJK77zzzjyaowrbGC677LJsGYxxDmmrZcuW//vf/84555wJEyasssoqbJuRn2XVEgERaJAEpAYb5GXVoERABERABESg4REoS0GY7jKwYzu70iP/Pkl+wmLIOc4uuuiiYWZO6bvuumvddddly3t2NeRjdfE3st3F008/LUGYE0wVFoESJ1BL96DUYIlfX3VPBERABERABETACZSuIGTdF3uosj0nvMcklllmGTvF7oJhPgvGINuOOOKIe++9l9VEf/zxx06dOvXq1atfv3777bdf06Y1DzZDo7aT4SWXXIL2GzFiBP5G9OFxxx2HH5JtM4gppRXvTLdu3ayH8dmMBx100Gabbbb22mt7YUuwN4ZVSblKaqSwDkVABOqOQC3VYN11TJZLnAC74PLt8/jjj/MKMteujh079tZbb+Wbi8nwRKD07t17jTXWIBol5TcCXzpPPPHE+++//+WXXxKlwhcQO+7utddebdq0ybVdlRcBERABERCBRnyviEJDImDr3+iyNqRrqrHUJ4Haq0F7s1Offa6Etkr/Lxt/dbt27crrQl4aRl5W1niBCGw54YQT0ISRkn379kUl2lpofuqnn37ixeIbb7zhOZZYYoklUIkrrLBCJL8sDkv/+pYFxvw6Wfs/et6u/vo5CiVEoIAE6uEvZM1OswKOR6ZEQAREoJQJ1P7BSM9DpXx967Rv/fv3Rw3m0QSOPmJY0JP49w455BACVf766y/0HpMRPv3000033XTgwIGdO3c2y5wiGsUa2mWXXUizIRNT5VnvGqFI+Alz7Lt06ZJHN1RFBERABESgYglIEFbspdfARUAE5iJQezU4lzkdVAYBIjaZtH7bbbexpFkeI545cybTHFCDHTt2ZEFs39bomGOOIfR05513Zn9dlk976qmnzPgpp5yCGkQEIhe33HJLyzzssMMOPPBADllHjVcSOBXz6ImqiIAIiIAIVCyBstx2omKvlgYuAiJQygTkHizlq1MXfUOGtW/ffqONNsJBF9nuKMvmWBP7q6++ovAZZ5zhatDq7rjjjtgn/eKLL7K/LolJkyaZ2EMBuhq0whtuuCFakTRb+E6cONEya/8TpZrOGp3Jb8i175UsiIAIiIAIFJaABGFhecqaCIhAWRKovXtQarAsL3ztOt26devFqj8e1ZmTSbYvsvLIv3hF4kXJRA0OGjSIBLGjpsF22GGHeGEWlSHzn3/+ee211+zssGHDdkp+fvvtt3h5Zi1yEj+kn8I+OUcffTQ5hKFusMEGrIvWtm1bFmxDmo4bN458nJDMYJx//vlZZJsYV2ZLolfdghIiIAIiIALlSEAho+V41dRnERCBQhKQGiwkzUqydV3yYyN+66231l9//VxHP3LkSKogulLuioTgNIPTp08n8fXXX9thxJfomc2aNaMkLsftttuOzPHjx5veY31sKxP+fOWVV9hcN1yEBrFH+SWXXJK1Uvfff3/CWW2NUyYu3nHHHcxOZPGbTTbZBHnJCgd8EJ/Mctxiiy0wtfHGG4fGlS4jAnqZVUYXS10VgToiIA9hHYGVWREQgfIgIDVYHtepgfYSqfb333+n9OAxYvP1ocp69OjBIfMMDYPJyAiSMWPGmG5ky6XIqZwO6Qw+wPXWW+/zzz/HOclOGLap0hdffMGqp4jDG2+8kbZI3Hzzzbaf03nnnZdTEyosAiIgAiJQUgTkISypy6HOiIAI1CuB2qvBeu2uGmtwBFokPymHxfYVN910E6dYTZSZiiSWW245K4k3cvXVV7e0/3z++ectzTo3nplHgsmBq6yyCk4/cw/27NmTGZIExqI2+bCzxVZbbWVmWRMVtyGy0CJaM7c1dOjQzAV0VgREQAREoFgEJAiLRV7tioAIFJlAQdSgoq2KfBUbaPOPPfYYcmvKlCkdOnS44IILbJSLL744mpCZfhdffDHTCJdeemkf/bfffnvyySfbIYrO8/NLnH322aYGrfpCCy1EHClNrLrqqq4G7dQ666yDICQ2dcaMGeYtTNciFtKdUr4IiIAIiEBxCUgQFpe/WhcBESgOAanB4nBXqzURYKLgSSedZCu1zDfffCRcSjFt7/bbb8c3SLgmu9UfeeSRxHDitRswYACrj06dOrVly5bM68PpWFMjNZxfaaWVIiVYV4YcmkuZH8lMeditW7eU+ZYp/2EGODolAiIgAnVNQIKwrgnLvgiIQMkRkBosuUuiDiXXgDnrrLMIE8XbBo+tt94a5xveuZANwZys+HLUUUex5udll13mp/DO3XDDDZdeeikri7JEjefnl5h33nlTVkyXn7JwJHPIkCGRnPAQrRseKi0CIiACIlCfBLSoTH3SVlsiIALFJyA1WPxroB7ECLzwwgvM1rv++utRg8SFMiHwmWeeiahBq7THHnvgRTz99NM322wzpvZR64ADDmC1z8MPP9wWp0lZK9agMkRABERABERgNgF5CHUriIAIVBCBgqjBCuKlodYLAbyCRxxxBLvAs44oXr599903nMIX78KCCy540UUXRfLxGRIvSmavXr0ip1Ie2mb3KU8pUwREQAREoKIISBBW1OXWYEWgogkUSg1qIZmKvo0KPfhHH32U2YCoQTb0u+uuuzp16pRfC2+//bZVZOmXGi2wwf0vv/xSYzEVEAEREAERqAQCChmthKusMYqACFRJDeomKEECkydPPvTQQ5Fn22677dNPP12jGmTHeXYIJLI0PhbmFpLZtWvXcK95K8bCM5HyBJ2yCE0kU4ciIAIiIAKVSUCCsDKvu0YtApVFQGqwsq53+Yz2vvvuI9SzefPmt9xyS+ZtG2xMrCOKJ/Dyyy9nR4pwlB999NFzzz1HDptVeH6rVq0szU4VnmmJeMRppIAORUAEREAEKoeAQkYr51prpCJQoQSkBiv0wpfYsBFsBx10EJ1iimD//v2td+zzTqJz586PPPJIhv7utddetjf9fvvt9/DDD//888977rknW1CwLwXexXfeeYdtCZkTuPDCCx977LFup3v37mhCpCOLl6611lqc5RTlzznnHPaaZ3cKOQmdlRIiIAIiUMkEJAgr+epr7CLQwAkUSgqCSfMGG/i9UvfDY8WX33//nXYmTJjgrf3444+khw8ffvTRR3tmPLHRRhuZIGRlUZafYYeJJ5988uWXX+7Rowf7TOBjpEqbNm2eeuqpeeaZx6s3adKEwldcccX333/PYqRrr702DkZ8iSNHjtx44427dOly9913e2ElREAEREAEKpaAQkYr9tJr4CLQwAlIDTbwC1z+w5s5cya+vlzHcc011+BgRP4x//Dzzz83Nbjuuuuy88TKK68csXbxxRcfc8wxzZo1mzhx4ksvvYRiRJQya5E9LbKJUI1Y06EIiIAIiECDJNCIlc0a5MAqdlC2va8ua8XeABq4EZAabGB3gv6yRS4obsavvvrqhx9+aNeuHavILLnkkpEC4SH7E37xxRcjRowgxJTYUXatCM+WQlrXtxSugvogAiJQmgTq4S+kBGFpXvr8e1UPN03+nVNNEagXAlKD9YK5XhvRX7Z6xV3vjen61jtyNSgCIlA2BOrhL6RCRsvmblBHRUAEsiEgNZgNJZURAREQAREQAREQASOgRWV0J4iACDQQAgWUghDRKjIN5LbQMERABERABERABDISkIcwIx6dFAERKBMCUoNlcqHUTREQAREQAREQgdIiIEFYWtdDvREBEciDgNRgHtBURQREQAREQAREQAQgoJBR3QYiIAJlTKCwUhAQihQt47tBXRcBERABERABEcidgDyEuTNTDREQgdIgIDVYGtdBvRABERABERABEShjAhKEZXzx1HURqGQCUoOVfPU1dhEQAREQAREQgUIRUMhooUjKjgiIQD0RKLgUpN+KFK2ni6dmREAEREAEREAESoyAPIQldkHUHREQgYwEpAYz4tFJERABERABERABEciNgDyEufFSaREQgWIRqAspyFjkGyzWBW0w7U6ePPnpp58ePHgwia5du2611Vbdu3fPY3T//PPPc889N2jQoEmTJvXs2XPttdfu0aNH3M7YsWNHjRoVz7ecVq1aLbnkkunOKl8EREAEREAE4gQazZo1K56rnPIl0KhRIzqvy1q+V1A9T0lAajAllsrJLNm/bE899dSBBx74559/htfi4IMPvvbaa1u2bBlmZk4/+uijhx9+OGLPizVp0uSoo466+OKL0XieSeKMM8646KKLwpwwvfzyy3/xxRdhTlmkS/b6lgU9dVIERKBhE6iHv5DyEDbsW0ijE4GyJyApWPaXsOEO4OWXX95pp51mzpzZuHHjlVdeecEFF3zrrbf++uuvW2+9dcKECQ8//HCWQ7/zzjsPOOAACjdr1my11Vbr0qXLBx98MGLEiGuuuQav4y233BLa+eGHH8JDpUVABERABESglgTkIawlwJKrXg9vEUpuzOpQwyUgNdhwr21uIyvBv2xTp04lOPPXX39t3749+q1Xr14Mafr06TvssAORn6RxHm677bY1jnPIkCHLLLPMtGnTVlxxxddee23++eenCuGjhxxyyL333kv61Vdf3WijjdwOxfAB7r333vvss49neqJt27ZISj8sl0QJXt9yQad+ioAINHgC9fAXUoKwod1F9XDTNDRkGk9JEqgjKchYNWmwJC94DZ0qwb9sd9xxB8Gi9Pv555/fYostfAATJ07s06fPTz/9tNZaa7333nueny6x77773nPPPQsttNBXX33VsWNHL4bgXGKJJZguSCu33Xab588777x///333XffnVIQerHySpTg9S0vgOqtCIhAAyZQD38hm5YaPt62fvfddzNmzFh66aWZnU8cTh49/Pfff3/++efvv/+eKRy9e/fu0KFDZiMFaTRzEzorAiKQJYG6k4J0QGowy6ugYjUSwAFIGVZ/CdUgOfPMM8/OO+986aWXfvjhh3/88UenTp0ymJoyZQqzBymALAzVIDktWrTo37//gAEDOnfu7BZ+//131CCHfEV6ZrrEmDFjHnroIc7iTmzXrl2k2IMPPsiUxdVXX51gVztFkCqDwuG51157UfeGG2545513xo8fTwgrI8IIxZigfv/99z/xxBPDhw+fb775kL4nnXQSsbIR4zoUAREQAREoIwKl4iHkO4ZJFKeddhpfn46PyJmzzjrryCOPZFqFZ2ZO8Er1kksu4ZuYeRdecqmllrr88su32WYbz7FEoRqNmC3uYT28RSjuANV6AyYgKdiAL24th1aCf9mQQ4glvqGuv/76yOjef/991gglE+G0/fbbR86Gh3gXWZWUHBYXXXbZZcNTKdNumWVs6EDKMp5JZCnxpRwy7TC+8ClvS1kZ9fzzzz/zzDOtCgGrG2+8MXGwaNQtt9wyspYpkvW///0vQbCvv/66N0ECj+Unn3zC92yYmWu6BK9vrkNQeREQARGoIwL18BcyH/9bXYx2zz33JCrG1CCRM4suuiit8IV3/PHH87WU5ZqZiMCVVlrpnHPOIQG7xRZbzCZj8F3Id9hBBx0U6XlBGo3Y1KEIiEB+BKQG8+OmWkUhgKcONUjTyKp4B1ZZZRX7/iZQJX42zLEVQQlmcTXILES2nQjLhGlbUQavI+EzLEDKkjYoz/333/+qq67CvxeWzDvNcjhoVL52sfnGG2/ceOONfCljjSBVljBFDe66666PP/44Unb33Xcnn0V0Tj311LybU0UREAEREIGiEygJQfjSSy8RuwKLHXfckVeSI0eO/OWXXwjj3G677chkPn38/WtKcLzp/Prrrzl16KGHjhs3btiwYcTDfP7554TEkHn77bfbBH2rW6hGU/ZEmSIgAtkTQApKDWaPSyVLgQABk9aNRRZZJN6f5s2bW6Qo32Xxs2HOt99+yyEhlwgwVhNdYYUViBRlYZhu3boRpWnfaGF5E4SsQEOB//znPwgzfIZ33XXXCSecgKS86aabsnx/GtqMpAkWxQhfnccdd9z6669/2GGHPfPMM6ZvWf/mvPPOIwyVhXMIlH3ggQc222wzqhPXGjGiQxEQAREQgTIiUBKC8IILLgAZAS3IQp+KwKQFDi3KhRkLNTJFRl555ZUU41uKL0WfL8H3K5LSNuo9/fTT3U5BGnVrSoiACORBoK6lIF3SpME8rouq1EiAlWOsDDMGUxa2fJvvl7KAZVpcDOqR96G8yvzyyy8RY3xYk+axxx4j4PPqq68Oq//4448c4sTDi0gVpkgwIYLZfUhQPHXsZMjEv7B8fmnervp3MRaYZGhhO3yThl+jnEIZ8pPvX/beyNwWkjLDJ3NdnRUBERABEahTAk3r1HqWxpk7QUnmJ0TmChJFw9tH3IMDBw5knZjMC8wQ2cJLU+zw0jTSLl/MxxxzzLHHHovXEQ+kRb/k1CgrgNvXMPP4+d6N2OcUBZj374sH8FXN1zkvem1aBfPyfWo+bk/e7JoFfJi8efWp+QTH8n0ZMa5DEWiQBOrUJWjEJAUb5J1TIoNiMRjrCX/nU3bJ8sPZ7CmLmbBkDt7HH3/M9wXT+Zj4wLJq//vf/84++2zk4oknnrjqqquuueaaVt08hKi1V155ZbnllnObBG0S58l3CoKNCfOm3/xsrol+/fpFqvC9ibeTdVObNp3rscG+TymMiI1U0aEIiIAIiEC5EJjrL3tROs2bRV520nTKKek2CZCvXqZVpPvetW5b4A2CyubQR8bi0zNYwpQvsFwbxXiGqflovMjUfBaXs6n5BNLssccefHN7f/ja5g3uwQcfzCtYYm/44vdTbB5FSSboe44SItDwCNSDFASa1GDDu3NKakS8r7T+2IvIeN9Y4YzM+AvESEn7CkBNofrefvttN0tsC7qO/Qn5fsTvh+fQKjL3AcvMkHclZvl8x7HiC28V8Uned999ET9epNEaDyPGvXy6fC+QIZFZMeplaAZ0OiUCIiACdU2g+IKQN53M92OcKQNveG/KKQJHM6tByvBWlTepqKnWrVvHqbELhWXafI9CNRpvKMzhQYHFbBCH/GQuPlqUpdv4+j/iiCOYl//www/jKuT7mycAVqJjbgbqkVVVr7nmmtCI0iLQYAhICjaYS6mBtGnTxiCkWwDGfIMpv9dCev6FhZxzNWgFmDfBjg58KbA/IfPhbf+klG88rTzTJajC605iasImlBYBERABERCBzASKLwgJBGXXo3gvCaS87rrrXnjhBU5l87KTmQw2mSFuirkNfNeSz8aG7PNLolCNxtsKcxgCAT/MYNxggw0sn5AeJnugCVGD+BWZG2lPA6yMyiSNb775hvFKEIYMlW4YBOpHCsJKjsGGccOU/igWXnhh6yQCLN5b/siPHj2afBRa/GyYY1EwrVq14p1mmG9pViu1BBpvvfXWixeI5LApIv3hqySSn/Iws8suZRVlioAIiIAINEgCxReEEaxvvfUWk/14G8q3Gl9XrA1z4YUXsqZ2pFj2h8SaEp/52WefUeWMM85o0qRJvG7BG/UmTjnlFFeDZLLbLxtpsIYbDwFE/vi7YRKHHHIIp5h5WONsSYJR3b4SIlDiBOpNCsJBarDEb4aG1D0EId4/ZgAS+hEfFxPL+UtOfq9eveJnwxzbX56vgJST5E0uUp5p6mGtdGkzkmVgZ6G2qUjXGeWLgAiIgAiUC4GSE4Ts7ER4jOMjqHLxxRf3w1wTBGEy+4Lls6mIqkQZprRQ2EbDJuJbEjMcBCFrefs3vZU31yXOzBoFIXsHh00oLQIlSKA+dSDDlxQswXugwXeJhV6Y9f3uu+/GR+qZvhhMvIzl9O3blwTvQNnYkJXJIsXc19enTx9OsckErzVRfW+++Wa8MAWsfHxrxLgzkPXVWJU00pwORUAEREAEKpNAyQlCFjEjxhKFxhvWO+64Ay1HmCWTKFh/JacrxHpoBJqycQVfhHgFmYmBpzHdtPVCNRrvoW13EeabizJdflgyXRo+6U6RL/9hBjg6VQ8E6lkKMiKpwXq4rGoiToDJ4QhCXjsiwyKeQPZwp7zv1hCv6zmbbLIJM+RZJ4bJAhdddJHnk+DL67bbbiOB9rPQUxb/ZLY58ahsrRS/7Z9++mlW0qb8GmusYXY8IobVRyPLtmW5u6/Z0U8REAEREIGGTaDkBCE7N2y00UYGHRW300478SXHgpwk7BVpjdeDL0v2ZaKKzeln6TbmIvIzQ8XaN5rOeDoJmi4/nZ0w3/mEmUqLQHEJ1L8OZLzxZ+LiQlDrFUWArZKY/s1EcbZuf/nll31JGNQam8WD4uSTTw6BIB2vuuoqcnhtd+CBB9op9qAnzdLTfG316NEDm5bPZIfTTjvNPI3+PpSvqs033/zZZ59lH10WKmMiuhXmJyVZrowE4ScemcKbRzQhgSds0rvhhht6VCpvFTVZ3dEpIQIiIAIiUHKCMLwk7HfEW0wEIZmEymQjCIm6YWmZDz74gCq8EMUruPPOO4c2a0zn0WiNNlVABBowgaJIQXhKDTbgm6oshsZCo3xD7brrrmwzy5aAyDMEGyH9FtW/9dZbR759WGaM5cQYGuuouSDkkN+gF198kQnk++23H68vV199dd5mYhNnIGcRcuFkh5tvvvnTTz9ljj2qj9gWIk7Re2yrS3mbdU8Bp8fURPbyff7551966SXWp9lll11QrexwyHrXLLFGn9kI1wsrIQIiIAIiULEEii8IeVXJe1PekrKWTPwysEtEx44dmXSXzfR3ZkTw5ffFF1+wwT3xosy1SLcHVAEbpc+8IY73XDki0LAJFEsHQlVSsGHfWmU0OiQW+/4dc8wxzHHAxec9RyUS7ZllJAjfcXwl7b777uxNj9jjY3Z4O8m+tWxPH9phwRgWoz700EP53sQPaa5IK8+2E6hB21rJe8LMi0033ZSvRVZWs8XVOMXbVd6xXnLJJV5MCREQAREQgUomUHxByPcoUwQJZTnooIN8Zye/JLz75OuWwxoX76YMX6h87bEVIW891113XTcSTxSwUVaZs+XF460oRwQaHoEi6kBgSgo2vDuq3EeEr4+J7rj+Bg8ePGXKFDxvzC307SLC0fGtxGIw5MS/zojtxHH3xhtvoAxZ7gWJSETo2muvHZ9tTnVOURg/5EcffcTkQIJCEXjsT4hrMWzO0gsssAAK88knn0Rt8l51vvnmoxtsec/bUiJaWfja1jOzwvgbrYdsgxExRVArr1wZXSSf+YpWxecrRgroUAREQAREoPQJFF8QMu0eTCyt+fbbb/OCM4KMl6DMtidzhRVWiJyKHH755Ze2aSHvZTOrQSrm2qi/oEX7de/ePWz6oYceCg+VFoGGR6C4ItB4Sgo2vPuqwYyIRV9wEtY4HAJKM+wlyFtR5odnP0U8+8JY3jH5ifSQKYt8wkzkYroeptwmkbodOnRIVyW0rLQIiIAIiEApEyi+IORlJ69LmRFx4oknskJ3uEn9hAkTjjzySPCxQ0Oo8YYOHcrabuQvu+yy66yzjvG98cYbSfD+MjJtw85GfubaqAfhMPUiXEacbvt0/0gTOhSBcidQCjrQGEoNlvu9pP6LgAiIgAiIgAiULIHiC0ICV4hFYTr+t99+27Nnz6OOOor1u/HIEX7z3//+l0ViYIfYI4TGITIRgt0FOWQehQtCm3dhwTZeMp4g0gYXX66N8hIU8UmXrr32WmzutttuNjWfJeZQrUQHEY0Tb0s5IlBeBEpHATo3SUFHoYQIiIAIiIAIiIAI1AWB4gtCRsWMC/xsrAiK/GM+YThOHIasr83E/TAzZRq3Ifks1c0OvykLWCabUlgi10bvuusuvJQs/nZ18mNG5plnHqaOsA6qBGEG5jpVygRKUAQaLknBUr5t1DcREAEREAEREIEGQ6AkBCE00YF77LEH/jf8hKy1jQcPPyGLYhMyyryLCO5lllnGHhZtKiBnWXuGKRwsuh0pGT8MPY05NUpb33//PcuyhVPzjzvuOPyNtEtMKVsGe3PdunWzHjIQz7QEa+ewFCqrBUTyl156aaviW0VFCuhQBGpPoGTlXzg0ScGQhtIiIAIiIAIiIAIiUKcEGmUjouq0BzJeWAK2/o0ua2Gplqm1spB/IVtJwZCG0iEB/WULaTS8tK5vw7umGpEIiEChCNTDX8hS8RAWCpnsiEDlECg7vZfh0kgKZoCjUyIgAiIgAiIgAiJQdwQkCOuObTEtNySpUEyOarvuCUgK1j1jtSACIiACIiACIiACaQlIEKZFoxMiIAJ1R0A6sO7YyrIIiIAIiIAIiIAIZE9AgjB7ViopAiJQAAKSggWAKBMiIAIiIAIiIAIiUCACEoQFAikzIiACNRGQFKyJkM6LgAiIgAiIgAiIQH0TkCCsb+JqTwQqjYB0YKVdcY1XBERABERABESgjAhIEJbRxVJXRaDMCEgKltkFU3dFQAREQAREQAQqj4AEYeVdc41YBOqYgHRgHQOWeREQAREQAREQAREoGAEJwoKhlCERqHAC0oEVfgNo+CIgAiIgAiIgAuVIQIKwHK+a+iwCJURAOrCELoa6IgIiIAIiIAIiIAI5EpAgzBGYiouACCQJSAfqRhABERABERABERCBBkBAgrABXEQNQQTqiYBEYD2BVjMiIAIiIAIiIAIiUF8EJAjri7TaEYGyJSAdWLaXTh0XAREQAREQAREQgRoISBDWAEinRaAyCUgEVuZ116hFoIgEGjVqVMTW1bQIiIAIVCwBCcKKvfQauAhECUgERonoWAREQAREQAREQAQaOgEJwoZ+hTU+EUhDQPIvDRhli4AI1DeBWbNm1XeTxWjv66+/XnbZZZdZZpnBgwcXo/36a3PQoEHLLbdc7969Bw4cWH+tFqOlr776avn/b+884yUpyr7tEkQQMYEkyUFEXCTnoCtJEAQUJElQgvCQEQEBUUFEBMkZEZGccxBQooG4RCUHJYtKTspzyf0+9dZ2z/SZmdNnd8I1H86vuqq6wlU9c+rf911V888/evTosWPHToj6x1+dd9xxx4ILLrjAAgvcfvvt46/WCVHTbbfdtvDCCy+00EK33nrrhKh/wtSpIJww3K1VAuOZgPJvPAO3OglIQAISkIAEJNATBBSEPTFMNlICQxNQ8g3NyBwSkIAEJCABCUhAAuMSUBCOy6NfrtQG/TKS9kMCEpCABCQgAQlIQAIjSGCiESzboiUgAQlIQAISkIAEJCABCUigiwkoCLt4cGyaBCQgAQlIQAISkIAEJCCBkSSgIBxJupYtAQlIQAISkIAEJCABCUigiwkoCLt4cGyaBCQgAQlIQAISkIAEJCCBkSSgIBxJupYtAQlIQAISkIAEJCABCUigiwkoCLt4cGyaBCQgAQlIQAISkIAEJCCBkSQw6t133x3J8i17fBMYNWoUVTqs45u79UlAAiNJwF+2kaRr2RKQgAQkMNAEtBAO9PDbeQlIQAISkIAEJCABCUhgkAkoCAd59O27BCQgAQlIQAISkIAEJDDQBBSEAz38dl4CEpCABCQgAQlIQAISGGQCCsJBHn37LgEJSEACEpCABCQgAQkMNAEF4UAPv52XgAQkIAEJSEACEpCABAaZgIJwkEffvktAAhKQgAQkIAEJSEACA01AQTjQw2/nJSABCUhAAhKQgAQkIIFBJqAgHOTRt+8SkIAEJCABCUhAAhKQwEAT6FJBeN99951xxhn/+Mc/Oh6cZ5999ne/+92ll1768MMP/+c//2mlnOFX2kot5pGABCQgAQlIQAISkIAEJNAlBLpUEO60007rrbceWq4DTI888siqq646wwwzfP7zn19ttdXmnHPO2Wab7YILLhiyqOFUOmThZpCABCQgAQlIQAISkIAEJNBtBCbptgbRnoceeuiaa67prGG33HLLmDFjXn75ZW5///vf/5GPfOS555574okn1lxzzSOOOGKbbbZpVuxwKm1WpvESkIAEJCABCXQtATyJ/v73v6+99tqdtfDf//733Xff/eSTT0499dSf+cxnpppqqlbKOfvss6ebbrplllmmlczDzEMLeUv+4IMP0ra55577E5/4RGcFvvTSSw888MDTTz/NS/a55pprkkmqZo+vv/46NT7++OO8mqfSD33oQ51V2vFdb775JmaAKaecEvNAu4Xgm4a/GP2dZ555ZplllokmatVwwmNw0003zTHHHIssski7lbabHye4+++//9VXX6WR2Dxab2Szii6//PJ//etfa6yxxuSTT94sT+2VNqsoxfP0YhniweO5/fSnP93xg/S3v/0NXK+99trMM888//zzjxo1KlVh4P8TeLfLPnwPP/vZz0b7UHdtte6f//wnvz7c+7GPfeyiiy7iq8Lt99xzzwILLEDkZJNNdu+99zYscDiVNixwAkYGugnYAKuWgAQkUDsBf9lqR2qBb7zxxoc//OEPfvCDHaBgKcqhhx4aU454OJllbrrppryDri7t97//PfkRKtXZhp/KFOg73/kOM59oXvxFP1x88cVtFX7rrbcutthieSG8bf/mN7/5/PPPl8tBBK6++uqFCfdKK63ETKyceeRitt9+exqMNmurij/84Q+LL7543tOPfvSjhxxyyNtvvz1kOW+99VboQMgMmXk4GRBIX/rSl3IFiMg5//zzh1Mmt0ev0bQNyxmJShtWlCIRb/vss88UU0yRDwcPEtP1lKeVwKOPPspd+QMJrlNPPbVw7zrrrPPxFj5777134cZ+unxfl3Tmsssu22GHHZZeeul82NoVhHvttRePDg/Qn/70p7xff/3rX/nFJ+m73/1uHl9LpXmB3RCOL083tMQ2SEACEqiLgL9sdZG0nETgpJNO4rnqQBCiBlnVEs8kf6eddlo0UlwiQrC0pCrKgY033picIy0I8ZPCjhdNmnjiiWeffXZelMclf/fdd99ywxrGnHDCCUl7YHCjd5QW5VDgnXfemd912223kSdSP/CBD9CANKHnLoyxeeaRCzO1i5lkW4LwlFNOSfNPejH99NMnXPidYaqqbvCuu+4a+UdUEDK5TVYyHrnc3osTXHULm6UyQ07PRkNBOBKVNmtMxKMGR48eHTwZlE9+8pPJbolp+uqrr66+PaXi+ofKi3K4EXmfxvTAAw9M2QggGlNSRWDnnXfO7+qzcLcIwnXXXbc8Bm0JQr6u8d3YZJNNyoOE2sSd46tf/Wqe1Hql+D/gFsIHP4S8hAjjGkFS/l7wlVdeIQYzd2S47rrrfvSjH/EkHXTQQbxoSSXw6oJXjLvssst+++3HSzv+x6SkjgOBsePbvVECEpBAFxLwl60LB6Wnm3TFFVfE3LoDQfjTn/40HkjmG/GPHgMRkaEoNtpoo4ZkMEgyDY0bR1oQhj5By2FmYQIT7WFOxUSIBjA5Rrw1bGQe+cwzz2BBJf9MM830m9/8JqYoTNZ/8pOfoPeIp7RUOKlhXkNdnHXWWaGgiGSDwCgE90tkal7+SIRxak0yqXVBiHIIKYuD6/XXXx8Nw0MSk2+MF5O0itYCJ4nJkROEHTvBVbScYVp++eWjj/wtC8KRqLSiPZH07W9/O5rEYxyvV2gnk+QwyKPVX3jhhSELIcOiiy5KOXwLjjnmGMqhkD/+8Y/xooTIO+64IxVy8sknf6/5Z4sttqAchpgfjXRL/wW6RRDy6oh3dfHBjhePQluCENftuIv1hy2OU+uV8txE4Wi/cuHxC4vkS0n8OpCfHyOe2hVXXDHujb/8EB933HHk/OEPf0g4T8Iro/rNYiq/IhAFVmQwSQISkEDPEfCXreeGrDsbfNRRR22++eZ4TqZ/vu0KwhdffDEUDm5mIXtST8NTEdNN/q+cNWlY5LAoJqFC1SMqCHEWDYsl1sjUtgiwkiomHgWHqUK2uEzbLjCNLmQ4+uijA+Dxxx8fSTHtIZKJXCEzeSIzC9UKSfVeoj9jxhXyrHVBuP/++9NCRELBI5ECY6knKyebNRXX2TAnRqUjJwjbdYJr1uA8nieTjic1WxaEI1Fp3oBy+J133gmfPr4yhdT0jP36178uJJUvedjiqeP9RZ7KG5z4/hZMRHmeQhgvaIrqb/MgXR5HkAS7CfJ3ufc+UTU67YADDmi3GfxgcQu/dPnbjupChl9pdfm8MmSFLgsG+Msy1r/85S8sJedZ33rrrVGtZ555Jl4c/FfgTdt5552H5ZAu8N3DZlhdrKkSkIAEJCABCXRA4Ac/+AGWnw5uTLewAAm9xxyaiQoSIsUTQEHhz0YA+xv7nEcSdrY999wzz1YRZocbbFyTTjrppz71qUI2xCdyjkhmDskVEz8j5B8WPOa43Hvuuecyl0CyMv0g57e+9S3+sgTuyiuv5A07JkruRSYxGxk7dmyh/PIl9hAiv/jFL4alJc+w1VZbYVChIoqNWvCKIgNLFjGQ5jkJs6sfIpwAla688sqRym5/bNzCzn84BBbyE08qhONte6Q27Cm6d6GFFmIeBTGyYaS96qqrKBMnXvrIdKtQcrNL1kmSBHN2Lsnz0AbEwA033IAJEWGf+xymbFgRGbK11lqL3gE/xadALT2lgziFUiavIVisWBhT/N2YQDasPTWjHOAWDMiUzHPLUslyBvTwscceS3xUmmeYccYZGVMUWl5pLT3ly8UjTV1f+cpX+Jv3lO1z0Iqk8tRtsMEGeXvKYebYRPIWhhME8lQshEjBE0888ZJLLsG+nZxR8zx5GBMOm5IsvPDC8dYgkmrpaeHpzXvK95RvCkb1vCUjHi7o4G64/O1vfxvdbstCGD83GJTpAj9MvKhjRSJfG76rfItwcqjuWnWlnVkI6QViL7dY4qSeRpRnncc6WkUgfoYq3kJVtz+lRvnp0oAEJCCBPiDgL1sfDGI3dAEPxv/zRjqJd7U8V+1aCFdYYQXuwnDUYndwuks1Egil18xC+POf/5zCmW2XC8cSFd8C9ElKXWqppYhkanH66aen9XuRjb/Yu/785z+njfoiPkTsEksskQppGEBSIoe4pZktkSkWqbxYj9tjDobptVwaM91Yebj77run1IDPtD7FpACvzimZW1IMgYqeMlkHDi/Wo8HRTf5yWTZX5mWmMNu0kB9/0RSTAsk+gepLkSlw+OGHcyPjhRpHaRMuWwhr7Cnl083ymKJqWuxpajm6C9VBgXQwTU0LFsJ2Pe/q7SlatNxTGsxnyy23TB1pFmBQyNnQfzsdRMfrg2a3RzzmRH4f8C3njUCes8aextNb7mkHY5q3sINwt1gI3xviYf156qmnuJ+tnHnPwc5a6c0QqpLvCWY3/sYPyrCqafNmHKC/8IUvpJs23HDDHXfcET9SnOx5P5Fe8hHAR5kk3oHxSqbw0jHdHgGenkKMlxKQgAQkIAEJDEkg3zvgscceu/DCC4e8pZCBPTaIwW5WiG92ie2OpYYp9Ze//CXGq3RZS4DlVeecc86ss87KG3BeQ7NpJPNXSv6f//kfJpqYKJm/4qZEmGzMMUjC2FJdNTsmhGklDDXlzBhJiEz2PaZeGOgKC2HiLl6pY94kPN9885XLaSum0FNm9izkwb6HzQf1wiQYRYo5C4XDbIpLbF+MVGpks7pYsMNWNBRFU2Nf+shJsxFghLHVYHUs3I7tgdkmE7Zf/epXaV+WQp6OLws95bGJNwJIUJ6fwphi6Wqxp6k9rNPjPBLs2Gxjcdppp6X4PNCB511+e4vhQk/DY457satjvcx7ypsCxpSktGFSsypYrcpRE6Tmo5kyJ+s934h4v5OS8gB14XSNwQYFEWo/T+0gXOhpenr5USp/TzsY0w6alN/SP4Iwzh7kRxBZhR2Wn8UFF1wQWcg+wqxv5nu+yiqr8LZsyN+FnM7ww3hKFArhJxtByONY+PmIX2d+fYYUhPiiFMr0UgISkIAEJCCBkSbAq2dMK9TCsjEMXygB3Mmwq3CJ4kI7lb0rR7pJlM8kh6rxZY23zLjF0gxOerj22mvRh/j1xYvp22+/nXnnXXfdxS20trph2Bt/9rOfNcuD5gxBmBbpUHXUnt/CHIzaY2lluOrlqR2Em/WUrfsoDRdT/DYxLSIGeOdODN5hJA3pXohyZlkaE0UwHnbYYSxEhBu6C7dYRBGSjx0BC+ZH5usscsMLFwtq/t6/g041vKXQU+aNWDXIiTsbfrm0k40MWSaHxl5//fVpfIs9jbp4bhGBzEJRzhUWiHBRxuuSPDxObDnL/JM3BVSKp+5mm202pL9lw64VIgs95elFfWGPRQAzlHQNzuzUiFBEtBPg9rR3aKGodJkcWRt6XXImJ37FmO5TtnRjHsDplDVfNCZtcpOndhAu97Th95SSGWvwtjWmHbSncEv/CEK+lvQN13N+l/kRzJeMgxV/ABQjb1A6eB1YQNbWZfmlQjhONItvpfBwdm+WU/thMzLGS0ACEpCABIZDIHyRKIFXt/y3DXHFJZYlZqt432233XasNUJODKeWdu9lbRuT9aTHmKazxg+RQzm77bYbbaNVWFpwaySGyT2NjylTuxVFfmykTKsIM9v+xje+0bCQr3/96xxKwZEGGFjIgG5EhMRWNw3ztxhZ0VNkEqvCYooVpUVPqyf9kRNphNBCN6Ie0VrcSFMD0dRTT82mOEQWWoj5lKOt0UVsKFhIquWy0FPkXyqWNxFhtyQGJzj+tt5TMmM4iWeDfoVfZSq5EBg/nneFnvL0osOjhdhIkLt44SK/o22MC87M8TKi0Nr8Ei0Qlwi/PD6FQxDGy50UmQeoZY899iCGr3OsUM1TOwuXe5p/T/PXCvgUsIcNy1ZbeXo7a0z5rv4RhOlFBfb0XA3SZ172sOgZd2R+LBDc6UezjKP2mMIrpVR+s/iUoSLAD1BFqkkSkIAEJCABCYwEgfBFomTWgzDpxM725S9/GccfJtm8/scHLzbniKWAI9GAhmUuu+yyBZsJTYqca6+9NloR6ZJuZEEU8+DYdSZFthhgBoXoZYqMJmFKzRv2ZhoPU2TyjGU+zYYOtYjkck/TjI6d21OvozvUizmrxZ4ikpmvx425YAZXuY84+3GSAavLsLPVpRYKQ1DoaXrwyIboxZUxd4KjwcRjRSwUUr5k4JBYlMaaTzbCKWfIY6LSkfa8K/SUBhTGMalBkhgO3msMOaY8qNGRZk9dSIZ4W5F3OYWREngd40v8ta99LUUOM1DRU76neeFoBN62IAiH7Gl+1zDD/SMIeUpgwfeEtdplKBw6iSDkO8PPIj9M5QzGSEACEpCABCQggQoCybCGGmTxFTvaJ5MUS55YycbOnPgcYmsan946FT5HJLGx+WqrrYYPHvMfJkJ4ytFBZvkV3SwnsZ4K5z12hYmlWWyDx2WF32lU9Pjjj998883k5ABGBDPeW7GRSbn8FmMKPcWClPxat9122xYLKWdjPRE2THwUMRUyrMwS8SpE0HJICcuOmFVSCxabuBEC2KwIs7SMfWjKpdUSU+hpevAoHAvt5z73uVQL1lp2pGSA2Es2RTYL8JRiVGRno4bbihbuikpH2vOu0FPawMMTLcGcw/ovnI0xkN544420Oazc4ThaaG1+mday8oTk8SmMMCbczDZDlzl5kgz4r6Zbhh8o9zT9elQkDb/eFkuYqMV83Z8taE4zzTQN3wckN+Lk71Fjj2Klb40FWpQEJCABCUhAAt1GIPkiMSPP1SDtxF6E1QhrEq+eOf5hfLa82byWNpCEaGFjFbZbpMEskwt716WXXor1rMVGsn6MPUXxDkULYZHjfCzcULFQVdyOaYUX8eyWx24obIuKGQ1xyBYsFbe0klToKVZBtFzcWEhqpbTIg5RiHxomcvhPsmoO0RsnbUCMJWQ49ZENlRg7rDC47A7IeRuYdEIWtl5RWzkL3UkPHoWUneDwayWewU2WsYZ1sek9ypyxSMtNG2ZLkanSZp535AzPu3RLB4FCT1m5x+YrUQ4maHyPcYtjExAUGk9dKCgqra6IL2NkyIV0fkvElzfmjTy4N2OdQzhUbDmTl9ZiuNDT/K6KpDzbiIb7x0IYGytzvhA27rAW5uCw/MZl4ZCZPE9nYV5U5L7dnRXiXRKQgAQkIAEJdDmBNLvAapTe7qc2M4Nkss7CwrS2MCV1SQDlgOxhRsTUBdtd2m6xonl4nLKgC/VIfzFGcXId53tV5C8nccQFYpJdXpjfs81Mst6Uc7Ybg7xJt2DESyUH/7AO0c2TTz4ZH8uUsxBg9WC41LJLKhuoFFLx/uWoEsyqHGCGymUTB87KJg+mTgR2njlMr1Qd8WRuBW9eQkU4PXgN82DPRNCibKud4NgahzzMltnph08qitWeEcYiSlGEMYeiGyeI592RRx6ZGlYI8GqDowR4K8HKOj5lq1rKj3Eowg0PHQVCzNtDSKe7UoA3O4QxTrI4M0X2faB/BCEWcxQ2w8ybuXyL5xjCeN/Amy0O+utgUJN25xkqlMAvRQcFeosEJCABCUhAAr1FIM1BOQu+YcvRhEiCCeuLhITDKNeweUQmsw87vjTLk+IxlWDlY2aFRfQXv/hFw038yYxcDG2GTm6YJyJRaHiuNkOXKm3d6yrWzsWN2C1TCRGI48fQe3gAVghCljtGfoRroQQucTqj8RQSW26mGnMtmt+FQyYfYtBUQwrC1nuaHry8rhROqxyrH7xoPJvN8kn35oF09jqvABCENXretd7TNBx5w1I42fQYjgom7NsPExbgsaw33ZsCSMpYm1ewtUYGNhZCVyMFy1IilVARaL2nFYVMkKSeFIQMMKdJwosthjkcNsDx0gtNyCa8LPVefPHF82HmpRQ/amTjd60zuZ8Oq+AUlCWXXDINFd89PBbSpQEJSEACEpCABPqVADupMB9ASuGe17CP4Y5Uuy8SdWESaVhjORLjDwv2yvERk1ZVDWnow2ESr0jUIPtqsA4wqY5yyezwiQEtXLQaCkIc8LgLC17ZBFcurfWesksHu6dyHiCFMBtME7w4qY9LJNDMM89cvRVf2kum2QYeEc95ktSCAW255ZYrt5kYfEpxRMSExQo9LivkSrq99Z6GE1y6sRBI3r/VD97o0aMbulAycCHDmDwzlBQe1u8aPe9a7ynDUaGpkiCP4ShwSJe0nwWuKHOWgKbIFAjvXy4buj0fffTRJI0ZM4aXO+mW1gOt97T1MsdPzp4UhLzbiFNBttxyyyQI4YW5H1M+TxJjzCpqnmzcqa+++mp+yPhF44XBvvvu2xlW9u9CfPLOgMXilIBPMy+NeM7wnWC3LtYfxwuhzgr3LglIQAISkIAEeoIAy5nYr5/jB3/84x8XNBI7tcTEumK3leo+hjsSS9SQbQWX1NbdkdjPpkIQpg058o1JGraKORVGNvrCXprJG7NhTiIRXRy8gSWtYYbrr7+eeN7Uh94gHD0tr7jJz1RoWFQeiW2AXXwYESIJMzGLVDaWx0MVGxdKiaWA1XO/pAqYQIaWy6vAEZSzDYkJVTnvvPOGy2ieJ8K4jyEGsJFioc1Ta+lpcoLLS07hOD6B/hZc2FKGCDCghZi4ZJIMJcLYPJL9g8tUaYued7X0lOF44IEHGraTyHh6qajhe4f8LgaCmTnLJtmHprAHb3w7eFNQ/p6yoylfbcqJhyovMA/X0tO8wG4IT9QNjairDZyVyTDz/oYRxVWad1o4CXDsJmoQ3ciPRVpm2kGNLIzG45SXE2xzhNTkl5SlxjyarH/lpUsHBXqLBCQgAQlIQAJdS4AZBauJ+OQb38dWIlgIcUdK9gq6wP4FJKGgWHnFzv6ddSqm41RX2DYDN7bTTz+9xTLZzSUmrORP9sC4l/faOG0Sxm8znyWXe4pbXay14Vj5IdUgBXLaM3+ZgqctIqNG/rKEL1asrbnmmikyeooRsuC5yrEWadOHlLnGQLmnrEwLnzLOnSsYfrENoi2Z6cGTnVo7a0YtPcUJLtk503ke0R6c4GLvTTRSspGSVO5pu+0Pzzvu4lEveHI29LyrpadrrLFGamf+/SKSpwWDMAFsd8l3lMuGPWW9a3iNsrFqKpAA5sHY8wm7UR4fYdR+fNlza1M5Wy09LRc7gWMQS9324bfg++99+D1q2DZ+0SIDv1blDPy4cKjloosuyu8dXw+cgPkx4qkq58xjhqyUzJSMXzULhfmSID455p7fDuL5YtAefq9TgbwlihbydipFRoA3iyTx41iI5xset/DzXUhq6zKep7ZuMbMEJCCBLifgL1uXD1AvNo//uTxXvClu1ng8g+LBQ0TledhnMuJZQoLfEFMR9hFJh6exM0eeuRAOh0PMF4X4uGSaEVZHPOI41YDliKwGpJ0Yf2JHDeolJt271FJLEcNytRQTgXSQOjYQykFe8nKcgxmSSZPZcH5LuadJkdISpGOzD8fZRTko4XTSBgfcHXfccRgMEYdJBNKSfEaEMSoYYpRjQo/eID/HdRAZiDCQ5i1s1lMWCkU5zONT/hDtYY1kQpjiCZR7SiTbVwYZbIwIYCyizOuQpsngViaclxnh8BGl6kJSXT0NV0Y6yypQ2kOxTG6x7CXxj2zLq27Y0zxDCvNsBMMnn3wyRUYAd9xYdNqwUjzvUMvplrp6iidwtAdrIU8vO+KyfpXJfJK7PMmpUgLNehony1MUX1ieZ6QgW5XGUfV8mziEMC8kwnF4CWqT57mcmmLq6mnDpzdqCf1feHpTA0Yi8L6RKNQyJyCB+BZNwAZYtQQkIIHaCfjLVjtSC+xYEKI9wiAWj2X6ixvRwQcfXP0CuloQMijsspim+KlkxAYvoENytCIIzz///HRvIRB+lYWJZnlKHQtkCveWL9ddd930ICHqmjnycaAcuz+knBHgsIdygbgphplufApC2oOqx4ew3B6k+I477phL2UIv0mUzQUiGentabmSYy4Yc09TUQqBCEJITMrH1aKFebGhhFMlLq6Wn55xzTqGudBnqtMWeYl8JV9h0ewQYKbxS82ancLwC4HFNMc0CtfS0qwRhT64hLAytlxKQgAQkIAEJSKAtApxFTv5kNCvfixktFrnl/mlkQ1NhtTjvvPM4zw2XJTbqYGkZFjDMZUMevI6hg3oxUJSrixgqxdTGaQecsMdiQrZ++fKXv7zddtsxKecvMbluwS+OQ/Pyve6iEJyYkLuPPfYYlygxzgBkNxccI2MjTTqVjDCp0kJP6VEI5sjQ7C8VpSRsfZzKcNJJJ7F3A8sp2aoECxKVYg5dffXVU7YUYFUk9kPUCLqCpYNM07HksNIH51uqTuagyN+sp8zgo525XyvV4dSHQKX2IXsa5eMRyj4iuAdz7Ds7WNIGxggIbEZYXliYupAHYnTSisQ8qcae0jAsnyyNw2rNqQk8dexlyhsKLlvsad6wCLPuKRg2FH6Q4VHEPolrW15pbpxMZdbSUzpFe3AS5LuJ9xzPEsdIsF8OHcRwh9doiz3lEWJHSZaP8UzyPYUS3x1cUtmFpPCNjvbzRQ4bdZijU6caBmrpacOnN6rjwWPfykJPG7akrsj/ntNQV1mW0w0E4s2iw9oNY2EbJCCBugj4y1YXScuRgAQkIAEJFAj01aYyhb55KQEJSEACEpCABCQgAQlIQAIVBBSEFXBMkoAEJCABCUhAAhKQgAQk0M8EFIT9PLr2TQISkIAEJCABCUhAAhKQQAUBBWEFHJMkIAEJSEACEpCABCQgAQn0MwEFYT+Prn2TgAQkIAEJSEACEpCABCRQQUBBWAHHJAlIQAISkIAEJCABCUhAAv1MQEHYz6Nr3yQgAQlIQAISkIAEJCABCVQQUBBWwDFJAhKQgAQkIAEJSEACEpBAPxNQEPbz6No3CUhAAhKQgAQkIAEJSEACFQQUhBVwTJKABCQgAQlIQAISkIAEJNDPBBSE/Ty69k0CEpCABCQgAQlIQAISkEAFAQVhBRyTJCABCUhAAhKQgAQkIAEJ9DMBBWE/j659k4AEJCABCUhAAhKQgAQkUEFAQVgBxyQJSEACEpCABCQgAQlIQAL9TEBB2M+ja98kIAEJSEACEpCABCQgAQlUEFAQVsAxSQISkIAEJCABCUhAAhKQQD8TUBD28+jaNwlIQAISkIAEJCABCUhAAhUEFIQVcEySgAQkIAEJSEACEpCABCTQzwQUhP08uvZNAhKQgAQkIAEJSEACEpBABQEFYQUckyQgAQlIQAISkIAEJCABCfQzAQVhP4+ufZOABCQgAQlIQAISkIAEJFBBQEFYAcckCUhAAhKQgAQkIAEJSEAC/UxAQdjPo2vfJCABCUhAAhKQgAQkIAEJVBBQEFbAMUkCEpCABCQgAQlIQAISkEA/E1AQ9vPo2jcJSEACEpCABCQgAQlIQAIVBBSEFXBMkoAEJCABCUhAAhKQgAQk0M8EFIT9PLr2TQISkIAEJCABCUhAAhKQQAUBBWEFHJMkIAEJSEACEpCABCQgAQn0MwEFYT+Prn2TgAQkIAEJSEACEpCABCRQQUBBWAHHJAlIQAISkIAEJCABCUhAAv1MQEHYz6Nr3yQgAQlIQAISkIAEJCABCVQQUBBWwDFJAhKQgAQkIAEJSEACEpBAPxNQEPbz6No3CUhAAhKQgAQkIAEJSEACFQQUhBVwTJKABCQgAQlIQAISkIAEJNDPBBSE/Ty69k0CEpCABCQgAQlIQAISkEAFAQVhBRyTJCABCUhAAhKQgAQkIAEJ9DMBBWE/j659k4AEJCABCUhAAhKQgAQkUEFAQVgBxyQJSEACEpCABCQgAQlIQAL9TEBB2M+ja98kIAEJSEACEpCABCQgAQlUEFAQVsAxSQISkIAEJCABCUhAAhKQQD8TUBD28+jaNwlIQAISkIAEJCABCUhAAhUEJqlIM6l3CYwaNap3G2/LJSABCUhAAhKQgAQkIIHxQ0AL4fjhbC0SkIAEJCABCUhAAhKQgAS6joCCsOuGZJgNetdPfQRGjx7NcIwdO7a+Ige3pN122w2Y+++//+AiqK/n1113HTCXXXbZ+orsjZKG+fPo7RKQgAQkIAEJlAkoCMtMjJGABCQgAQlIQAISkIAEJDAQBBSEAzHMdlICEpCABCQgAQlIQAISkECZgIKwzMQYCUhAAhKQgAQkIAEJSEACA0FAQTgQw2wnJSABCUhAAhKQgAQkIAEJlAkoCMtMjJGABCQgAQlIQAISkIAEJDAQBBSEAzHMdlICEpCABCQgAQlIQAISkECZgIKwzMQYCUhAAhKQgAQkIAEJSEACA0FAQTgQw2wnJSABCUhAAhKQgAQkIAEJlAkoCMtMjJGABCQgAQlIQAISkIAEJDAQBEa9++67A9FROykBCUhAAhKQgAQkIAEJSEAC4xLQQjguD68kIAEJSEACEpCABCQgAQkMDAEF4cAMtR2VgAQkIAEJSEACEpCABCQwLgEF4bg8vJKABCQgAQlIQAISkIAEJDAwBBSEAzPUdlQCEpCABCQgAQlIQAISkMC4BBSE4/LwSgISkIAEJCABCUhAAhKQwMAQUBAOzFDbUQlIQAISkIAEJCABCUhAAuMSUBCOy8MrCUhAAhKQgAQkIAEJSEACA0NAQTgwQ21HJSABCUhAAhKQgAQkIAEJjEtAQTguD68kIAEJSEACEpCABCQgAQkMDAEF4cAMtR2VgAQkIAEJSEACEpCABCQwLoFJxr30SgLdSOBvf/vbX/7yl3feeWfuueeeeeaZJ5qokxcZb7755sMPP/zII49MN91088477xRTTFHd1Voqra5iQqU+9NBDoJh44ok/85nPTD/99MNsBmAvuOCCKaecctVVV60oqt5KKyoan0n/+c9/6Nef//znqaaaCpjTTDNNZ7X/+9//vvvuu5988smpp56aciitopy6Kq2owiQJSEACEpCABAaIwLt+JNCtBJj4nnjiiYVJ9sc+9rGf//znb731Vuutfvrpp9dbb71cRhL+/Oc/zxS8XEhdlZZL7oaY3/zmN/PPP3/+A7fUUkuNHTt2OG3bfvvtKXCOOeZoVshIVNqsrvEW/8orr2y77bYf/OAHE0wE9mqrrcYbh7bawPN26KGHzjDDDKmcUaNGbbrpps8991y5nLoqLZdsjAQkIAEJSEACA0vgfQPbczve/QRQcWmWjCFrpplmSpcrrLACM+lWunDnnXcme8ukk04655xzTj755FHOJJNM8otf/KJQSC2VFsrsksujjjoKsRF9//CHP5ywvP/977/ttts6a+Rll10WZTYThCNRaWdNrfGuBx54YLbZZktP0eyzz86jFZcf/ehH77333hbr4hnOn7dpp52WsYhy4Pmvf/0rL6euSvMyDUtAAhKQgAQkIAEFoc9AlxK4/PLLY2a89tprY+KLVuLG+ZWvfCXiDzvssCGbzoR7ySWXJD8i8PDDDw+7Iq6n559//owzzkg8jqP4+6Vyaqk0ldZVgZtvvhkBTJcXWmihP/7xj0CgeRdffPHHP/5xItHJeH6222DG5ROf+AS382koCEei0nYbWXt+HqplllmGLvNQYdx7/fXXqeKNN944+uijw2A433zz4QLaSr0//elP34P3vk022QS9xy08okSGxt5oo41SITVWmso0IAEJSEACEpCABCCgIPQx6FICuDIyV0aoFLxDmX8TSdJiiy02ZNPPPvvsmHAzyS5kxnIY1pgNNtggJdVSaSqtqwKhYeaZZ54XXnghbxjaOBAhhvP4IcNIlBVXXJF7KyyEtVc6ZKvGQ4aTTz45iJ100kmF6hLMM888s5BUvnzxxRex01LUOuusUxCQ4YXL85mMhHVVWm6GMRKQgAQkIAEJDDgBN5WJqZ1/u47APffcQ5s23njj5IwXTfzABz6w8sorH3HEEawARJPkKwPLfbjiiiuIZL8TlnsVUllKxyYozOBvueWWlNRWpRiF2FCEe9nqJnn6paJIIgNOgGkNJKvC+LAGkgVjmOOwzrF4D7nL7VhBP/KRj8S9f/rTn66++mrUwic/+UkE6iKLLJLK7DhAv2644QZu32233cIkmIpaY401kG1Ud9dddwE2xQ8ZOOigg6666qpZZ52VFibhnd/VbqX3338/ugjLLV6XeTmEMUX+/e9/ZxypLpJeffXVRx99dLLJJptrrrmIuf69zz//+U/YYkPGhzOyPfbYYxdddBGbtVDm6NGjGfHkNBsZOvh77bXXchcWUR7Owu1UvcQSS/z+978/66yzkHmF1MLlqaeeit6jPQcccEDhMd5mm214BsiPKy+LXQm0W+kTTzzx0ksv8VDxFBXqJZ5U6mX3mpQETJDilY1GBfW5557LtkM81diTgRbfwbfffvvKK6/k+8KDDWGelllmmSWVYEACEpCABCQggV4lMOCC2O53JwFcQ+MbdcYZZ5RbuPfee5PKjJaJaTk1jwmLXzNb4p577kk5zMXDf7LdSu+4445o5IMPPphXGuGYbf/oRz9KSd/73vfI/81vfpMbkRNxb/zF8RI3zpdffnmttdbK4wlvtdVWqYSOA/vttx9F4R+LGOi4kPxGhApqgW1UbrrpJnpE4WWX0XYrDXPZ8ccfn1cUYQQSVYwZMyYlsVFNVIrBMwyVXMYHz9jjjjuOnD/84Q/DS/b/Uv5rVU42t1RUu4HPfe5zFIiGb3jjDjvsQCpvARqm5pGsgyUnajyPbBZut1J0PoXn1u9Ucqh3xi7FEIhvyimnnHL66acjvLk3fRZeeOHnn38ez+rPfvazKZIAHrNlG2lepmEJSEACEpCABHqCgBbCfIZjuFsIcDLEP/7xD1pTmJtG+2699VYCOI5iIKpuMdPixRdffIEFFmiY7fHHHyee7WqYHBOoq9KGdaVIbFYIGIwt2Jc4QuO6667DuIXl8Ktf/Sr7lBCmwRiFMHZhQUK/HXPMMeRfc801UwkdBFCb3IUc+tCHPtTB7YVbMCWxFQq2zX322YclmmzMU8gQl/VW2rAK2sAQY5HjLyZfziZB7SDvt95662uuuQa/TQxZGLiwKp933nmYvGjSXnvtxcK/hqW1GIk1lZzNnr2QtSgo7GwFY2yhfEzBxHzxi18sxDe8rKvShoWnSKzW55xzDmZYtjkFGqeJ8LKDr9u6666LIHzmmWeCM2Gy4byNUKf9ZSNkKtCABCQgAQlIQALdT0BB2P1jNIgtxGqXXCjz/uP7x94w7GxJ5O67754nNQx/5zvfaRhP5FNPPYVfHIHll18+8tRVaZTW7C9CBR9RXO+S9+Pmm29+wgkn0DU+P/7xj1O/tttuO+xCOJfS32EKQrwxaU8cOUjVSE20EzN+RNRyyy2HsatZaxvG43/LDihIwTCxNsxDZL2VNqwFYkgvrIVf+MIXIgMHP7AXC5oQNYgDJz2NAyfRrli6aBIwhykIOcQSl0tEUcMmsTY14pFPFYKQxw9bJTkZFN4O/OpXvwrXVi4ZFFq+6KKL5uXXUmleYMMwnq45tB/84Ac0A9dfHFZ5WnLO2AY322yz1157jTca2CEblmakBCQgAQlIQAK9QaAn7Jg2csAJ/Pa3v2UBGKvLcBPle4URhjWEw2Hy7LPPhg8etsH77ruvYVFDVtqZyyjtZ3qd1xgLF4lHmubxhDHIEI/BsBDf7mXsfonC/PrXv06BhQ8WSBROi2XixMvtHFnBqrO4pZnLaLuVduAySkvwHy60nLPdiWetJja6PInjK4lnxAs7uOR5WgknxY4WKuTHmJacVLFbFlLzy7RyFQswzzYNyz+8m8D1NPYvjbvarTSenHZdRllpWdhziC9aNAxFnbef5bux1BPRmMcbloAEJCABCUig5whMlM9CDEugOwngP8mWJ6zx4wtGC/EDTOa1dhtMCaeddhoHA2DJQV5imvv0pz/dsJAaK83Lx/IZ24SkyNSXsqUuDrvDMTJl7iBAl7HkcOMvf/lL5Bz73Oy4446sstt3332XXnpp4tkbhrWLyKQhC8fJdssttyQbRyykZje8q8ZKG5afIsu202gYkNGEKRuBgEk3ETN5fLthtgCNktdff/1YykgJ9PfCCy9cffXVMU5GgdU8WS8a2XbddVeebayCmFt5Gtn1h8ebFh5yyCFJBJKzlkqjxoq/yy67bMGqmUa58HDy3YkdZYb5cFY0xiQJSEACEpCABMYPAQXh+OFsLcMiwI4XzLxZHrb//vuzqySmOTwDY2uZtsrlWDw2gcRsgp8h9g38CTn/rVkJdVVaKJ/pfiEmVjASWdhphpiUVLilrcvYeodbWJGITMJt8uCDD8ZPlU1uWLIYGDFtca5jdbEoHCQQjo4bbrghgerMdVVaXQupzaA1ix+ywCEzoKjxW2ZoeEOBcRUFxSJVzJs4W+IIGlvFUEj1ck34REUMyi677MImPew/hK2VJzxt98qIxHJZctZS6ZBdq4BWkTRksWaQgAQkIAEJSKCbCSgIu3l0bNv/I8CejexdwbYr2E/w8Ax3OCbQTJ1bZIT3IPtkoPHYVgTjBp6T9957LzujVNw+/EobFh5er+0mNczfYiSrv6JStoXkOLvw9It7iUcQsj6NS9aPVRfIpp0oauxsRx55ZHVOUuuqdMiKmvFsFj9kga1kQA+DAjszmdnuBWszFj82JYIhRsIoITxgm5XGWEQSrss/+clPcuWPqy1+pGziip0wlrlGzuFX2qwxKb4CWkVSut2ABCQgAQlIQAK9SMBNZXpx1Aa6zazRYl0T7nlQYLpcXn9VpoMIxOEtTpVg9xEOqed0tXK2ipgOKq0obTwnMZVHY7zyyisLLrggB80VakeKILaR2SxlxO+xYt5/4IEHci/ojjrqqLyQkOV42CJsiGdbFDZQravSvKKuCrPbCidhsmcs3WfdHTqZAyR4TuJwEfRwGXXe/mQ/ZBPUXA1GHrwx55lnHkrmk981zErzogxLQAISkIAEJCCBIKAg9EnoRgI4iKLimDSzdKrcPra5Z+MQZuF//etfy6mFGGbtnKCNXMHih6cfG+gXMqTLGiulTLxSU8kTPIC/39ixY5tJlFgMhmLEfbHCrhVL7zhvgE+5R9hgY80bijFObK+l0qioq2DmfWeJXVplF/EcbkEAOcfGMHnOQjh5YFYMCmoQH9TCjVy+V+eseXyLlcYtXQsz75FhCUhAAhKQgATGGwEF4XhDbUVtEHjooYc4L44p9be+9a3YrDK/mcVssSfHDDPMkMeXwyiclVZaCTXIMfEct8A+peU8KaauSikQccXRgqnkCR7gSHEEIWfKNWwJ+4USj2WvQg2SgR1HGu4gwgkWHLGATYxzDsn2qU99KmqppdIoKgRPhCf4X3bWgRgPJ0AKjeGExksvvZRI1hYWkgqX7C3Eew3eaFQPStrxqJZKow1dBbOAxUsJSEACEpCABMY/gap32OO/NdYogSDAkXEEMEmxs3+ZCcZDTucjPo6OKGdIMZyW9vTTTyMpL7nkkmo1yC3tVpq8K8vaL85mSM2Y4IFVVlmFNmBx4vzAQmPQeOwySiQbXRaSCpdk+12jD06P5ARvJB577LFxY7uVBs8yTARnOtyv0KQJcom0Zm8ezm9M546kZmA75V0Al6x3TZHNAsGH4wfLMpt3E3HOYRqUdittBpMzD88777xmTTJeAhKQgAQkIIEBJKAgHMBB74EuMw8O69/OO++MfS9vMbtcbrPNNsSw9T+T8pR04403shUHn9wAwukIZGABYcGvL92VB9qtFAtP3M72p3k5uPmx/0oeM8HD7HSCxyxigH0sc54sGtxjjz1CJW611VapnY888kjAvOGGG1Jku4F2Kw2eyJX8wAaU/0477ZTHtNuM2vOz5DK2hPnud78bbrRRxe233x4ezpgHF1lkkbxeNpsJnhwtmOLj/EYshJw8kZeD9Zskjq/AZTrt5tpupQGTsxALbtUHHHBAGIRTMwxIQAISkIAEJDDoBJgR+pFAFxK44IIL4svJhvtsKIrthS1kEFpcRvyZZ56ZNztUIkmnn356xIethpgpppiCswGafdhjM5XTbqV4olJ+HCP+hz/8AUMW8352m0QwhCSg5anw2G6EJXYpJgJJJFx++eWFJPQw5bM5aiG+g0vOuKMoPixa22+//TBMsVko+6BE5DrrrJOXmSQupw7m8Q3DIWxYFFdObavSNIKs+bzmmms4HgNDK9uo0MJQ/mPGjElVsOAzWo58SpERCM9V1Foh/uKLL45bEMaFpHYvY38dSqMurNA8nNtuu20cTogvKAK7UGA8J+THXp0ncYBHNGnJJZfkkAlayMY86eUFm/fkmduqNI0gHrzIUeyNl112GQeuUF3AZCebvHCeMZJ43vJIwjyT0UKe0kJS7MzEU12I91ICEpCABCQggd4i8N/zlP1IoDsJIP8mm2yymI/mf5lzs9Fooc1JTiRBWNihMS8hD6Mw86LaqvSWW25BbealEZ5yyimRWyGTukcQ0sfvf//7DXc6YaEmiy1zCElODFMQtlUppksOmSzAxPWRgzFOOeUU4rtHEGLQ22yzzQpN5RKz9k033ZSTjHAzQYjK+tKXvlQuh4eKsyKpJS+q3UoR+eWSEduxalFBmLM1LAEJSEACEhhkAm4qU54yGdMtBNhXBpc5LCfYN3AE5WQ29thgqxK0Hw6QhVYysWbrUSLjdDgCzKqRQIVs5Uv0Wx7ZVqUsO8QchFUHZYhvHkf8YX7ZYYcd5pxzTn5WcNvL9x3hxAuOJShvhENktJO78pYQxvmQ5s0888yF+M4u99lnn9VWW+24445jESabgs4+++x4ybLaLfe8jZKxmkaTYl1ldXW4htLTsI+Vc7ZeKVvaYGJluFmsyHCzSw3N23rrrZdffnm0Pe2hwal8wtFCnooUGQH0LbJn6aWXLsTPPffccUtDVVzIXH2JTD3xxBN5ODGBcqAlcpoxgi1VN+RAL2JtZOFho49sQoOX7Kmnnko5nFYPeXq9+eab552NxrRbKfbVNddcEy2NAsQoigkXgyQbwGJThUMBAvoWr1QMlYWO80wGNJ7SQtIWW2yBd3T+hBcyeCkBCUhAAhKQQE8QGMW0tScaaiMlIAEJSEACEpCABCQgAQlIoF4CbipTL09Lk4AEJCABCUhAAhKQgAQk0DMEFIQ9M1Q2VAISkIAEJCABCUhAAhKQQL0EFIT18rQ0CUhAAhKQgAQkIAEJSEACPUNAQdgzQ2VDJSABCUhAAhKQgAQkIAEJ1EtAQVgvT0uTgAQkIAEJSEACEpCABCTQMwQUhD0zVDZUAhKQgAQkIAEJSEACEpBAvQQUhPXytDQJSEACEpCABCQgAQlIQAI9Q0BB2DNDZUMlIAEJSEACEpCABCQgAQnUS0BBWC9PS5OABCQgAQlIQAISkIAEJNAzBBSEPTNUNlQCEpCABCQgAQlIQAISkEC9BBSE9fK0NAlIQAISkIAEJCABCUhAAj1DQEHYM0NlQyUgAQlIQAISkIAEJCABCdRLQEFYL09Lk4AEJCABCUhAAhKQgAQk0DMEFIQ9M1Q2VAISkIAEJCABCUhAAhKQQL0EFIT18rQ0CUhAAhKQgAQkIAEJSEACPUNAQdgzQ2VDJSABCUhAAhKQgAQkIAEJ1EtAQVgvT0uTgAQkIAEJSEACEpCABCTQMwQUhD0zVDZUAhKQgAQkIAEJSEACEpBAvQQUhPXytDQJSEACEpCABCQgAQlIQAI9Q0BB2DNDZUMlIAEJSEACEpCABCQgAQnUS0BBWC9PS5OABCQgAQlIQAISkIAEJNAzBBSEPTNUNlQCEpCABCQgAQlIQAISkEC9BBSE9fK0NAlIQAISkIAEJCABCUhAAj1DQEHYM0NlQyUgAQlIQAISkIAEJCABCdRLQEFYL09Lk4AEJCABCUhAAhKQgAQk0DMEFIQ9M1Q2VAISkIAEJCABCUhAAhKQQL0EFIT18rQ0CUhAAhKQgAQkIAEJSEACPUNAQV9Oe3YAAACrSURBVNgzQ2VDJSABCUhAAhKQgAQkIAEJ1EtAQVgvT0uTgAQkIAEJSEACEpCABCTQMwQUhD0zVDZUAhKQgAQkIAEJSEACEpBAvQQUhPXytDQJSEACEpCABCQgAQlIQAI9Q0BB2DNDZUMlIAEJSEACEpCABCQgAQnUS0BBWC9PS5OABCQgAQlIQAISkIAEJNAzBBSEPTNUNlQCEpCABCQgAQlIQAISkEC9BP4X89oKWnKFLzUAAAAASUVORK5CYII=",
-                        "text/plain": [
-                            "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1200x900>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "{'S': {'1.55': {'o1@0,o1@0': (-0.008444337-0.033069704j),\n",
-                        "                'o2@0,o1@0': (-0.7575937+0.6521667j)}},\n",
-                        " 'T': {'1.55': {'o1@0,o1@0': 0.0011649121, 'o2@0,o1@0': 0.9992696}},\n",
-                        " 'dB': {'1.55': {'o1@0,o1@0': -29.337067, 'o2@0,o1@0': -0.0031732256}},\n",
-                        " 'optimized_designs': '[[...]]',\n",
-                        " 'path': 'C:\\\\Users\\\\pxshe\\\\OneDrive\\\\Desktop\\\\beans\\\\Luminescent.jl\\\\runs\\\\bend_R5',\n",
-                        " 'phasors': {'1.55': {'o1@0,o1@0': {'mag': 0.034130808, 'phase': -104.32435},\n",
-                        "                      'o2@0,o1@0': {'mag': 0.99963474, 'phase': 139.27681}}}}\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/png": "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",
-                        "text/plain": [
-                            "<Figure size 800x600 with 1 Axes>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                }
-            ],
-            "source": [
-                "import luminescent as lumi\n",
-                "import gdsfactory as gf\n",
-                "import numpy as np\n",
-                "import os\n",
-                "\n",
-                "radius = 5\n",
-                "c = gf.components.bend_circular(radius=radius)\n",
-                "# c.plot()\n",
-                "\n",
-                "path = os.path.join(\"runs\",f\"bend_R{radius}\")\n",
-                "wavelengths = 1.55\n",
-                "keys=[\"2,1\"] # same as keys=[\"o2@0,o1@0\"]\n",
-                "nres=30\n",
-                "dtype=\"float32\"\n",
-                "\n",
-                "lumi.make_pic_sim_prob(path, c, wavelengths=wavelengths, nres=nres, keys=keys, dtype=dtype)\n",
-                "lumi.solve(path)\n",
-                "sol = lumi.load_res(path)\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "13c566ae-b363-4fc6-ad94-87451c767185",
-            "metadata": {},
-            "source": [
-                "Loss is -0.02dB, similar to [Tidy3D example](https://www.flexcompute.com/tidy3d/examples/notebooks/EulerWaveguideBend/)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "50c71402-9f7b-4e04-a65f-1777b4adcefd",
-            "metadata": {},
-            "source": [
-                "#### Wavelength range 3D\n",
-                "We can repeat the simulation with multiple wavelengths in a range. Closely spaced wavelengths may require longer integration periods to resolve.\n"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "6266fae4-5f16-42e6-b0cc-0e3b8b523b93",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "loading solution from c:\\Users\\pxshe\\OneDrive\\Desktop\\beans\\meow\\runs\\bend_R5_multi\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/jpeg": 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",
-                        "text/plain": [
-                            "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1200x900>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "{'S': {'1.5037313432835824': {'o1@0,o1@0': (0.015846074-0.08780179j),\n",
-                        "                              'o2@0,o1@0': (-0.042941052-0.99874145j)},\n",
-                        "       '1.5265151515151516': {'o1@0,o1@0': (-0.0528027-0.0342206j),\n",
-                        "                              'o2@0,o1@0': (0.91801596+0.39546382j)},\n",
-                        "       '1.55': {'o1@0,o1@0': (5.896507e-05+0.0038929335j),\n",
-                        "                'o2@0,o1@0': (-0.7569857+0.65100145j)},\n",
-                        "       '1.57421875': {'o1@0,o1@0': (0.039105274-0.052942395j),\n",
-                        "                      'o2@0,o1@0': (-0.24907827-0.96790797j)},\n",
-                        "       '1.5992063492063493': {'o1@0,o1@0': (-0.058728512-0.06369084j),\n",
-                        "                              'o2@0,o1@0': (0.97622365+0.20399441j)}},\n",
-                        " 'T': {'1.5037313432835824': {'o1@0,o1@0': 0.007960252,\n",
-                        "                              'o2@0,o1@0': 0.99932843},\n",
-                        "       '1.5265151515151516': {'o1@0,o1@0': 0.0039591743,\n",
-                        "                              'o2@0,o1@0': 0.9991449},\n",
-                        "       '1.55': {'o1@0,o1@0': 1.5158408e-05, 'o2@0,o1@0': 0.9968302},\n",
-                        "       '1.57421875': {'o1@0,o1@0': 0.0043321196, 'o2@0,o1@0': 0.9988858},\n",
-                        "       '1.5992063492063493': {'o1@0,o1@0': 0.007505561,\n",
-                        "                              'o2@0,o1@0': 0.9946263}},\n",
-                        " 'dB': {'1.5037313432835824': {'o1@0,o1@0': -20.990732,\n",
-                        "                               'o2@0,o1@0': -0.002917552},\n",
-                        "        '1.5265151515151516': {'o1@0,o1@0': -24.023954,\n",
-                        "                               'o2@0,o1@0': -0.0037151896},\n",
-                        "        '1.55': {'o1@0,o1@0': -48.193466, 'o2@0,o1@0': -0.013788022},\n",
-                        "        '1.57421875': {'o1@0,o1@0': -23.632996, 'o2@0,o1@0': -0.004841562},\n",
-                        "        '1.5992063492063493': {'o1@0,o1@0': -21.246168,\n",
-                        "                               'o2@0,o1@0': -0.023400683}},\n",
-                        " 'optimized_designs': '[[...]]',\n",
-                        " 'path': 'C:\\\\Users\\\\pxshe\\\\OneDrive\\\\Desktop\\\\beans\\\\Luminescent.jl\\\\runs\\\\bend_R5_multi',\n",
-                        " 'phasors': {'1.5037313432835824': {'o1@0,o1@0': {'mag': 0.08922025,\n",
-                        "                                                  'phase': -79.76963},\n",
-                        "                                    'o2@0,o1@0': {'mag': 0.9996641,\n",
-                        "                                                  'phase': -92.46192}},\n",
-                        "             '1.5265151515151516': {'o1@0,o1@0': {'mag': 0.06292197,\n",
-                        "                                                  'phase': -147.05336},\n",
-                        "                                    'o2@0,o1@0': {'mag': 0.9995724,\n",
-                        "                                                  'phase': 23.305456}},\n",
-                        "             '1.55': {'o1@0,o1@0': {'mag': 0.00389338, 'phase': 89.132225},\n",
-                        "                      'o2@0,o1@0': {'mag': 0.99841386, 'phase': 139.30473}},\n",
-                        "             '1.57421875': {'o1@0,o1@0': {'mag': 0.06581884,\n",
-                        "                                          'phase': -53.549007},\n",
-                        "                            'o2@0,o1@0': {'mag': 0.99944276,\n",
-                        "                                          'phase': -104.43118}},\n",
-                        "             '1.5992063492063493': {'o1@0,o1@0': {'mag': 0.08663464,\n",
-                        "                                                  'phase': -132.67876},\n",
-                        "                                    'o2@0,o1@0': {'mag': 0.99730957,\n",
-                        "                                                  'phase': 11.802849}}}}\n"
-                    ]
-                }
-            ],
-            "source": [
-                "path = os.path.join(\"runs\",f\"bend_R{radius}_multi\")\n",
-                "wavelengths = np.linspace(1.5, 1.6, 5)  # number or list or array\n",
-                "\n",
-                "lumi.make_pic_sim_prob(path,c,  wavelengths=wavelengths, nres=nres, keys=keys, )\n",
-                "lumi.solve(path)\n",
-                "sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "ea88e49d-4ce8-4453-9c2b-5ae875629ee7",
-            "metadata": {},
-            "source": [
-                "#### Quickie 2.5D approximation \n",
-                "Set `approx_2D_mode=\"TE\"` to do a 2.5D simulation using (Ex, Ey, Hz) on a 2D plane with an \"effective\" refractive index integrated from a vertical modal profile. This is significantly faster but not accurate. Nevertheless it's a good way of exploring various geometries."
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "c0db7f65-4772-4bb6-bdcf-790bb820f8ad",
-            "metadata": {},
-            "source": [
-                "### 1.5um inner radius\n",
-                "Let's try a tighter bend"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "9d2e9410-ef61-4bc1-9e8d-8db6771978c1",
-            "metadata": {},
-            "outputs": [
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "loading solution from c:\\Users\\pxshe\\OneDrive\\Desktop\\beans\\meow\\runs\\bend_R1.5\n"
-                    ]
-                },
-                {
-                    "data": {
-                        "image/jpeg": 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QISilooAKKKKAA0lLSGgBCaRuRmkbgVka1rUOkWbTTOB9SPQnuR6VpClKo1GO4XscH8RtRnt2YwTzoVBHyOQP4/Q15OfEmqQzblv7sHOeJm/xr1i88YeFtdD2l89qkxyquTEOenJLHuTXJ6r8O5bkm60i5tLuBx5mIHMhUHJwdq4HGPzrhx+W4qhLmqRdj7fJs0wkqCo3UZLv1Dw14+1FrqGC6neaNmVQJHZu4HdvrXt2kzpcWMUnlIu9QflXHUCvCvDvgy+TWIBPCVVZFzlWHRh6rXu1hb/ZrWGIfwIq/kBWeElU1u9Dj4hhhly+zS5utjQ2KeRRjFCZxTzXfc+VasIKWgUUhBRSZoBoGKaSlpKYgpaSlFAC0lLSUgCgUUUAcB8U/wDmSv8Asa7H/wBnr0CvP/in/wAyV/2Ndj/7PXoFABRRRQAUUVx/jnSfFeqWjpoHiGDSrXyGEwNvvkY8/db+Hjjjn3oA6bT9SstWtBd6fdRXNuWZRJE25SVJBGfYgirVec/Av/kk+l/9dJ//AEa1ejUAZ+ra7pOhQrNq2p2ljG5IU3EypuPoMnn8Kfpmr6brVp9q0u/tr23zjzLeUOoPoSOh9q8u8LaVp3i/4p+M7zxFbQ31xplwlrZ21yodIofmAYIeOdoOfc+tItvp3gv496Zp2iJHaWut2L/bLOHiNXUOyOFHC52449/WgD1+qen6tp+rC4On3kN0LeZoJjE4YJIOqnHcZFcn491++M1r4R8PSY17VQcyjpZ2/R5m9O4X39wM4HwGtFsPDviGzRmdLfW5olZupCogyfyoA9XormPBvixvFa60Wsxbf2bqctgMSb/MCY+boMZz0o03xY1/8QNa8MGzCLpsEMwuPMyZN4BxtxxjPrQB09FeY2PxJ8ReIp9TsvDnhaO4utPvJYJpbi72QqqnC84BLNg/KOmBzzUOj/FHxF4kS403SPCJOvWUrR6hHcXIS3tyDgfN1Ykgjb7HkigD1SiuO8CeNLnxU2q2Op6Z/Zur6TOIbqASb1+bO1gffafXpnPNddLLHBC800ixxIpZ3c4CgckknoKAH15/8LP+Z1/7Gu+/9krq/wDhJ/D/AP0HdM/8C4/8a5L4Tyxzw+MpoZFkifxTesjochgdhBBHUUAehUUUUAFFFFABRRRQAUUUUAJRRRQAUUUUALRRRQAlFFFABRRRQAUUUUAFFLiigBKWkzTc0AOzRmm5pM07APzRmm5oBosA+im5paQC0UUUAFFFFABRRSUAFFFFABRRRQAUUUUAFLSUCgBaKKKACiiigAooooAKKKKACuf8d/8AJPPEv/YKuv8A0U1dBXP+O/8AknniX/sFXX/opqADwJ/yTzw1/wBgq1/9FLXQVz/gT/knnhr/ALBVr/6KWugoAKKKKACiiigAoooIyCD3oA8xg8e+LvFN1ey+C/D9hPpNpM0AvL+4KfaGXrsAxgdOT/8AWHQ+BfGh8XW1/Dd2D6dq2mT/AGe9tGbcEbnBB7g4P5d+CTU7TUvCPh6Gz8C+G7S5xIxNs1wIlQEElsseTnHGa5f4PSxz6j4pudReWLxRc3avqdnJF5YgA3bAnJ3Ly3OfT2JAPVGYIpZiAoGST0ArzC08feMPFcl1d+DfDtjNo8ErRR3V/cFGuSvUoBjA6df55A9MuII7q2lt5l3RSoUcAkZBGDyK4rUPEfhL4W6PbaJao/mLn7JpdqWmnkLMW6Ek8knlj9PSgCfwl4/t/EGlarLqVo+lX+jErqVrId3k4BO4EdVO1vyPsTz9j458f+I7Btb8PeE7E6OxY263lyVnuFBxkAEAZIPX9etWvAXhTULlvEuu+KLFbebxIwD6cTnyoACoVsdyGwfp2JIGp4lm8TeGdJtbLwP4ZtLy3hhZdrzhBDj7oCkgt370AaXgnxdbeNfDkerW8D27iRoZ7eQ5MUi9Vz36g/j2roq8T8LNYQ/AXxSbG7uH1Apdy6iJo/KkiuSnzLtycAADBz69DkD0nwA7SfDvw47sWZtNgJYnJJ2CgDo6K8R8LXM7fs6+IZmmkMqreYcsdw/GhPhxp2r/AAlj8RardXt1ro0gXdvdtcuPICxbo0VQdoUAKDxk8nOTQB7dRXimgfD6z8afDeDxB4mvr/UNZuLRnguXuWH2YKCECqDg/dBJIOSSa7b4Sand6v8AC7RLy+mee4KSRtI5yzBJXQZPc4UUAdrXP+O/+SeeJf8AsFXX/opqseJLvXbLTo5PD+lwajdmUK8U1wIQqYOWye+Qox715/4s1r4hy+DdcjvfCOnQWj6fcLPKmpBjGhjbcwGOSBk4oA7jwJ/yTzw1/wBgq1/9FLXQVz/gT/knnhr/ALBVr/6KWugoAKKKKAEooooAKWkpCaAFzRSA0ueaB2GmkpxptNCClzSUmaYEgNIaaDT+opNAMpRQetIKkocKWkFLTJEIpKdSGmAgpwpuaUUALRRRSAKWkzQKAFooooAKKKSgAozRSHp1oAa7KFJYgD3rzf4m2l9d6TK9mGdAh/1e4jO1/T8K1vGfiGTTLd1jyuAcnp2b3HpXndn8SZUnMN2omt3OCrgsME46FsdM08NmccHiIzavY9mhkWIxVB1IHi939pt7txLvWVWOc5BBzXTeFPHGs6Pdwwx3TNC7qrLJI5GCVB43AdBXoWs+DNB8ZW7aho8yxXjDc8AZFy2CxAVVJ6sBXL6Z8Mr+LW4Iru2uVj81RkIwH3h1yn1r9DoZlhMdB1HJOPVM+frYarh58k1Zo928LahDq2nw3T29uHKrlo0HJwp65PPNdOuwjisHRNKj0nToLaJcBEUHjuAB6D0rYTIr4XExpuo3TWhupya1ZZBA6UmaYDSg1z2AkFFNBpxqWAylBpKKRQ8UGkFKaZIlFFFMBwpKBSmkAlFFFAHAfFP/AJkr/sa7H/2evQK8/wDin/zJX/Y12P8A7PXoFABRRRQAVXv/APkHXP8A1yf+RqxTZY1lieN/uupU49DQB538C/8Akk2l/wDXSf8A9GtXoP2mAXAtzNH55G4R7hux6461neG/Dmn+FNDh0jS1kW0hLFBI+45Zix5+pqB/COlP4yj8VMkv9qJB9nVvM+TZz/D68mgDkNV8OeGfFvjzURpms6no3imwjRbySwkMLSIQNpORhxjbyPUZ7VzWm+FbCx+PGkWenXd3qNxp1pLeape3c3mytIylFDN2IymB6GvRPE/w60PxVqEWpXJvLPUok8sXlhOYZSvoTyD+Wau+FfBmi+DrWaHSoHEk7bp7iZy8sx9WY/U8Djk+tAHnOh2HxL0LWtY1VvC1hqGoajOWe7mv0UiMfcjUA/KoHb8+gqv8Fb7xN9u1aD+x7b+y5dYuHvrn7QN8EuwfIq/xDIUZ969urG8PeGNN8MRXsemrIq3l093N5j7syNjOPQcDigDjPg+67vGkW4eYviK5LL3AOMfyP5VD4SvYL747+NpLeRZEjtreIspyNyqqsPwII/CtrVfhVoGpa5c6vDc6ppt1dnN1/Z12YVnPcsMHr3xj161q+H/A2g+F9QmvNItTbvLAluyhyV2ryDz3J5JPJoA5j4NgfYvFpxyfEd3z+CUfDAD/AISv4gnAydabn/vquz0Dw3p3hqK+j05ZFW9u3vJt77syPjOPQcDijRvDenaFe6pd2SyCXU7g3NxvfcC59PQc0AcZ4D/5Kv8AEf8A67WX/ot69FuraC9tJrS5iWW3njaOWNxkOrDBB9iDWbpnhvTtJ1vVtXtVkF3qrRtclnyCUBC4HbgmtegDlf8AhWfgn/oWNM/78CsT4RW0FlaeL7S2iWK3g8T3kcUaDARVEYAHsAK9Frz/AOFn/M6/9jXff+yUAegUUUUAFFFFABRRRQAUUUhoAKKKKACiiigApaSloAKTFLRQAUYoooAKKKSgAJppNKTTCaaQAWxTC9MeTA/+vVSW4C55Hf8AirWMLiuWzIKTzRWY14vPzD/vqmi9XP3h/wB91r7Fiua4kqQNmsuO6DfxD/vqrccme/61nKm0O5bBpwNRqcinismhjqWkFFSAtFFFABSUtJQAUUUhoAKKKKYBRRRQAtFFFIBaKKKACiiigAooooAKKKKACuf8d/8AJPPEv/YKuv8A0U1dBXP+O/8AknniX/sFXX/opqADwJ/yTzw1/wBgq1/9FLXQVz/gT/knnhr/ALBVr/6KWugoAKKKKACiiigAqOeLzreSLe6b1K7kOGXI6g9jUlFAHkfh3xpr3giwfw/4u0LxDqd3bSuINRtYTdC6QsSpLFs55wBngYBxitX4e6Tq954s8Q+NdY06TTG1Xy4rWyl4kWJFA3OOxO1eDzwe2K9HooA5HTfFurahpniK4l8MX1jNpnmC1jlV2N7tDEFBtBOSBwM9a8u8D67f+GUm1HU/h34p1HxHdyPJd6i1i5Y5PCplflXGOB/LGPf6KAOFstf1Xx5oGt6fFout+GrsW+23ubyN4CZGDYKkYPBAzjsawtE+JOraHodvpHiHwj4ln1y0jEJe3tTMlyVGA/mZ5J6k885PNer0UAeUeG/BetyeAPGL6jbpa6x4ma5uFtNwxCXVtik9M5J+gIzzmofC3jnVdP8ACFh4ai8Ia4fEVpbraIklrtg3KNqu0hOAnAJP/wCuvXaKAPGvDGg6vZfADXdJudPuxqLLdqsBgcSSE9CqkZOe3HNdlZWN2nwWgsGtZheDw+ITbmM+YJPs+Nm3ruzxjrmuzooA4zwHY3dn8JtMsrq1mguksWRoJYyrq3zcFTyDUXwfsLzTPhbo1nf2k9pdR+fvhnjMbrmaQjKnkZBB/Gu4ooAK5/x3/wAk88S/9gq6/wDRTV0Fc/47/wCSeeJf+wVdf+imoAPAn/JPPDX/AGCrX/0UtdBXP+BP+Se+Gv8AsFWv/opa380ALRSZoJ96ACgUZzTSwHUigBWNRlqexBGQarPKqnlgPxpMuKuWF5oJ+cio45F2Ftw496hjuVllIVgfoaOlx8t20XD0pBzUck8a8GRQfrSxSK/IYH6Grs7XMyTFRucUGdAeXX86ZO6hC2Rj1zSjq7DaaAPzUyHIrK+2RB8eanX+8KvwSq0eQwIx1zWk4NK5KJCeaVearPcRhsb1/OponVlLAjHrmsU7mri0rk3FB4FVmuog+DImf94VL5imPcGBHrmqcWkZrUdupT0zVU3EYbHmL19am8xTFncMfWpTuy5RaDdzUiniqBuog+PMTr/eFWopFaMkMCPXNayi0iESFqXPFVWuIw2PMX86mWRTGTuGPXNZJ3LlFpDi3NOU5qi11GHwZE/76FWYZVZCwYEY65rSUWlchEuaXPFVmuIweZFH40/z41hLtIoX+8TxULV2KcWlck3c0pOKyJdesIpxH9pjZj2V1Pf61V13xAunWXnIVKmLdn8CfX2qqsHTjzSVkVQpSrTUIbs3mlVUdiR8qlj+FeeeJ/iJFpN20QdVC+pAPU/7Q9KqaX4/hu9RFvPMAkreWfmHcgd2rzv4wafLa6nHdRMxtplDKQTjlpCO2Olepw/Tw+MruFQ1zHBV8FZVFuehvqul+PtDljhniW/WM4Xeo3nb0ABYliXrx/WtJu9Lv3hmikQqxHKkdyO4HpXOaHr15ouow3FvPInlyKxVXIBwQexHpXvNgNN+Imj27tEkeoois5CqN4CjOfvEsWepz7IVT/2nDax6rserkedqivq9f4X17HnvhG+vrTU4vINwcMMrHu/vL6V9C6VIlzaW80sH70opYyJznAOa5Lw78PY9IvWuZBuHOAee4P8AdHpXaxReWAoGAOABXz2FhOnds6c8xmHxUoqnrbqXtityMCk2YpqHFTA5Fdykz5lxsR4oFPIpMU7iAU+mU8dKTAaaSnEU2pKFFO7U0U6mJiUUGimIUUtJS0gEooooA4D4p/8AMlf9jXY/+z16BXn/AMU/+ZK/7Gux/wDZ69AoAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACiiigArz/4Wf8AM6/9jXff+yV6BXn/AMLP+Z1/7Gu+/wDZKAPQKKKKACiiigAooooAKSlpKACiiigAooooAKWkpaACikooAWikzS0AIaSlNJQAhpjU80xhVICncNtQmsC+1FIicsv8XY1u3/y2jt6Y/nXkvizWJLZ5QrsMGXpJjpXr5dhvrEuVGc3Y6KbXYlLfOn/fLVEmvwlh86df7jV4tfeKbkSyKJJu3Sc+1VYvFN2JFy82MjrOa+qjkL5TD2p9DWmrxyDhl6H+E+tdHaTCTpjr/SvCPD/iGWdRmR/uE/64n+KvaPDk3nwEnn94Ryc/wivnszwLw25rCVzoUPFSio1GBUleAzYcKWkpagApaKKACkpaKAEpDS0UAJRRRTAKKKKAFFFJS0gFFFJS0AFFFFABRRRQAUUUUAFc/wCO/wDknniX/sFXX/opq6Cuf8d/8k88S/8AYKuv/RTUAHgT/knnhr/sFWv/AKKWugrn/An/ACTzw1/2CrX/ANFLXQUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFc/47/5J54l/7BV1/wCimroK5/x3/wAk88S/9gq6/wDRTUAM8Btn4f8Ahof9Qq1/9FLW3LLtNYPgH/kQfDf/AGC7X/0Uta9xnNVTV2OWhYhk3nrVee5KHrTrTO6qN7ndU1dGa4eKlLUvW05kPWsHVNZa2kIDkfj9PetTTs5/z71xHiUv5xxn/OK7stpqrO0iMSuWVkdVo2qtegqWz+P19/auI8VeMv7IkZpLjy0HcvjsPf3ra8Hb/MO7P+d1ePfFC2ubjVLaWOLzlgfc0RP3vlX/AD+NcebwVKtyJ2R6+SQ5lOfLzNLb+tdN9D0jwr8Q9O1mC4gi1ON7kAFYmchiMnOATz26Vj6X8TZrHR2uk0rU9TuHXKC1iLopyw+dsnbn8a4Dw/eeH7m4txqMNzYarDIhsmKbFc7jlSwHI6dcV1nwvL/8IpqQGf8Allj/AL7et8NTUsDFvd1Ir/yWQsTTi8RX5WmlC+ia+1Ho9VucdY/FLxAbQG4vpppWkdmZ5G6E8AYYcCvZvAfi2XWNBnuZJWLpt6scjLMPU+lfLluT5K49TXtvwoMh8O6kOcfusf8Afb19JiadKeUOSjaUYp3PDw6viIxezf6k+qfEG+S+dYp22jH8beg/2q7LTfFkl74M1e8aQl7eDeCW5HLe/tXhV4X+0NnOff6V33hwyf8ACu/FXXH2Pj8pK+FyyUp4ylGT0bX5n6BneEoRwNTljZwtr8zl7r4kap/aLFJ38oMeN7ev+9Xr3hzxRLdeC2vnkO8JnJY5/wBWD618xvu849a9r8Ks/wDwrG5POcMB/wB+Vr9C4hp0o4KbhGzifB5bD2mKhCWzZBeeP7/+0HCzPsDkfeb1/wB6u/svFEh8HPfNIdwQnJbv5YPrXgcxf7U2c53f1r0m3aT/AIVhckZyA+P+/NfAZQnUxkISejZ9xn+HoxwUnCNnE5W++J2qjVZAk7+Ws5H326bj/t16x4Y8Vyal4NnvmlJZA3JbkERqfX3r5inLG6cnOd5z+dey/D5pD8NdWJ3cPNj/AL8rX3+e0aP1CcoRs4nw2Xx58VCL2bEu/H1+uosqzPsEuPvt0z/vV6Dp3iWS48EXmoGQ7okfnd0xGG9a8CuC5vDnP3/616ZorSf8Km1vrnbPj/vwK/PsqbnjIQk9Gz7rP8NRjgZShGzi0cbe/EzVBqb7J5PKVyPvtz83+/XrfhPxRLqPgm61B5CXjVzkscjEat6+9fMMhbzuc5zzXtfw+aT/AIVZrOc9Z8fTyEr9Cz+jSWBm4Rs4s+Ey+PPiYRezaILzx/fDUTsmfywem9vX/er0DS/Eslx4Lu79pDuiic53HgiMH1rwKcv9q7/5Nel6G8o+Futdf9VPjr/zwFfnuVNzxdOMno2feZ9hqMcFNwjZxOR1D4maoNUPlXD+UpwRvb+8f9uu98P/ABY0RNBlj1HV0ivih2RtuOTsGOeQOc9TXz3ds4Lnndjr+Neu/DnSrKb4X6009nBKxWY7njBP+pUjk+54r7vP1TVGdOnBLk1b69lY+CwUXOtBd2W734h3Zvd0U7NCDn5XJyMnphueKoal8U9W1CbSrO2t76yswZpJZZlKfaCsX3Rz0HXr/EOlee6WXie4tgSUgnZEz2Ga6DUi89loMfJIbUMf+A8VfDZe2sZCEne7R9jm9KnVy720I8vLuvO9t/Urz+NdR/thZxO+xH6b25AbP96vWU1NvEnw0mv0fLw7o2GeRiHJ7n+9Xz3OrLcEHOQ2D+de0/B9/tvhjV9LlyySCYqOvzFI1H8/Sv0LiHDRrYKaUbOOx8jltf2GKhN7XOCW7kt7xHUkMsgIOT1Br0y0gTx94PexlXfe25JVmGTtWPAwfmPV64vVvDl3Dqc0awOQLhlXCH1PtXo3w40O+0yfz5VZEkTGCGHUofT2r82y7EVMNiI1Ke6P0PO6dKvg5e0a7o8XuPBeqxatPZpaysY5GUHy2OcNj+7Xtvw88Nz6NZwTTNIkxjUFckY4Q9CB3Fd7LoViZjdC3jMr8lii9Tz6Uq2wQ8DGK+3xWdfWaPs4xtfc/NVS5WaVu+9AGOT6mnmPFV4cririncK+cnHU3jKxGBinClK0grMq9yQHNIRSCndqaJY2lFJSimIU03FOopDEFKKKKAA0lLRQIKWkpaAEooooA4D4p/8AMlf9jXY/+z16BXn/AMU/+ZK/7Gux/wDZ69AoAKKKKACiiuS8Z/EDTfBcYS5tb26u5IjJFDbQFg3blui8/j7UAdbRXF/CrX9R8TfD+y1bVZxNdzSzbnCBRgSMAMAAcAAV2lABRXmeqeIvFPijx3qHhjwnfW2lWukxob7UZYBM5kYcIinj16/3Tz0y7RfEfijw949s/CXiy6ttSj1KF5LDUYIRExZASyOo4HAPT1HJzwAelUV5cNd8YeOvEmsWfhfU7bRNH0mc2j3klss8txMPvAK3AUY/IjrnjQ8HeJtfg8XXvgzxbJb3Gow24u7S+gTYtzCTg5XoGB9B2PpkgHoNFVrTULK/877HeW9z5Mhil8mQP5bjqrYPBHoeaI9Qspb6axju7d7uFQ0tusgMkYPQsucgH3oAs0Vj3fivw7YWrXV1rmnRQLK0BdrlMCRfvJ1+8MjI6ilm8VeH7fSY9Vl1vT00+U4juTcLsc+gOeT7CgDXoqppuqafrFmt3pl7b3lsxIEsEgdcjqMjvVugArz/AOFn/M6/9jXff+yV6BXn/wALP+Z1/wCxrvv/AGSgD0CiiigAooooAKKKKACkpTSUAFFFFABRRRQAooNApKACiiigAooooAWm06kNADTTGp5pjVSAoalzYyD6fzFeJ+NLZ3kmIK9Zq9tuwWiZfXH864vWNH+0s5O/kv0Yd69zKcQqE7syqK6PnG8tJFmckr271VWFmcKCM5xXtlz4UDsxxNzj+Narx+EQHBxN1/vr/hX2sc4o21Ob2bOO8L2kiqMlf9W3f/ar3/wuuyAj/pq3/oIrj9M8PeRjiT7pHLL613emQmFcYP3iefpXy+c4yOI2N6cbG2p4qQVCnSphXy7Nx1LSUoqAFooooAKKKKAEopaSgBKKWkpgFFFFABS0lLSAKWkpaACiiigAooooAKKKKACuf8d/8k88S/8AYKuv/RTV0Fc/47/5J54l/wCwVdf+imoAPAn/ACTzw1/2CrX/ANFLXQVz/gT/AJJ54a/7BVr/AOilroKACiiigAooooAKKKKACiiigAooooAKKKKACiiigAooooAKKKKACuf8d/8AJPPEv/YKuv8A0U1dBXP+O/8AknniX/sFXX/opqAI/AS4+H/hs/8AUKtf/RS1tSxlj0rI8Cf8k98Nf9gq1/8ARS10BFOLsD1III9pqtcW5c9K0AKCAe1KXvFwk4u6KVrAYz0rntW0hriQkIT+H09q64ADtTSiseVU/hW1Cq6Luiaj53dnN6HpbWe5ipH4fX2968u+IXgzVtTu7e80psTwMSYn3BJQQvBwPavdGVVGAAPoKqSW8Tn5okP1UVjipOvLmZ2YLEPD3t1+R4Hp/gPxVrlvb2+p21nYaZa3EdzIEJeWVlLAAcYA+Y5/Cut+HXhqWw0ma0kRgZNvUHszn0969VSCPymQIoz6Cq9vZx28h8tAn+6MVpTqezw6pRX2lL7k1+o54qVSrUnJ3co219U/0PlI/DTX7FFimt8yAnO1XI7f7NexfDzwxPpehzwyxsGfb1U84Zz6D1r1CaxtnOWtoWPqUBp8EEUQwsaKPQKBXr182dXBLCqNlZL7jz6ceSop9j561XwRqAvnMUDFOMfI3oP9mu40fwtLaeCNatWQ7p7cqAQcn7/t716a1nbsctBEfqgpJ4Y/KZFRQpHIA4NfO4SgqNaNVdHc+hx+e1MXh3QcbX3Pk+68C6p/aLpHbvsLHnY3TP8Au17J4a8NyweBWs3jIcqcjaf+eQHpXc/2bamTd9mhz6+WP8K0reCNIdgjULjoBxX0+aZvLGUPYuNj5/DXo1VUXQ+drzwXfjUXCwNtLnnY3TP+7Xodn4blHgl7IxncynIwf+eePSvQHsrcvkwRZ9dgqxFDGIyvlrjHTFfMYSl9XrKqt0fQ5lnU8ZQ9k42PlK+8A6t/a0gW2fy2nIBCP03H/Zr2Dwl4Xl0/wRc2bxsGkDZBU8kxqPT2r0VtOtWk3G1hJznPlj/CrQgjSHYsahfQCvpMyzmWMw/sXG19z57Dr2NVVF0PnS78F351MgQNsMvXY3TP+7XoumeHXg8BX1i0Z3SrIMEdcxAeld6bK3L5MEROeuwVY8iMQFBGu09se1fN4Sj7Csqi6H0GZZ1PGUPYtWPlC98A6oNTZY7d/LL9djcDcf8AZr2Pwd4alsfAV5YvGQ8ivwVPOYlHp7V3zafal8m2hJz18sf4VdhgjSEosahT2Ar6XMs5ljMP7Fxtc+fw69lUVRdD51vPBV+NRISByhbrsb1/3a9F0jw5JD4EvrJozvlikGNp7xAeld81jbl8mCIn/cFWEhjERQIoUjpivmsJR9hWVRdD6HMc7njKHsmrHyfqfw/1P+0HjS3cxsTzsbjk/wCzXYeGvD3xB0fwreaTp+naZPazq/8ApM7srRhkAPy98DGOD+Ne5vptqz5NtCTnqYx/hVyCCOOIosaquOgGBX0WZZp9cppONn37+p87RTpzUk9j5ptfhxqdhthKNNIzbpZAjfMxPOPlrqk+G2qXcmhzRJEsFkbl7kSEhmEkSKNo28n5TXtBtIN2fJjz67RU6xhIyFUD6CvnKNH2dX2t9T3cXmzrYVYWMbR0/A+dtQ+E15c6qWijdI2fJJUgDLH/AGK9L8A+BP8AhGYW3OrFskjOf7v+yP7tdo0XzZxViFcCvpMXnOIxFH2cnoeBGmk7mJc6HZNcNK1vGzFy3KKec59Ks20CxYCqFA6ADFaEqZPSolTBr57lSZ6TrylG0mWY/mjwaheLB6VNHxTnXNbQdjiluV1XFTpTNtPWrbuSPPSm0/tTSKyKQgp46UwU8UAxDSUppKoQ4UUgp3akAlFFFAC0lLSUAFLSUtABRRRQB5/8U/8AmSv+xrsf/Z69Arz/AOKf/Mlf9jXY/wDs9egUAFFFFABVe/8A+Qdc/wDXJ/5GrFQ3cbS2c8aDLPGyge5FAHn/AMC/+STaX/10n/8ARrV6NXGfCzw/qPhf4f2Ok6rCsV5E8pdFcOAGkYjkcdCK0Xn8Ujx1HAlpaHwwbfLzk/vhLzxjd06dqAKfibxX4d8CuZHtA+raiwKWljADcXbDIBIHJ5J5PvjPSsTw54e8Q+I/Gdv418V20enCziaPTNLR97RBgQXkP97BPH04GMVhNo/xE0z4i694jsvDem6i13J5VpPdXShooFyFCAMNu4YJ/wD111Wgat8SbnW7aLXPDel2mmsT588N0GdBtOMDcc84HTvQBg2dr4p+GviHXF0/w7Lruhapdtewm0lCywSN95WU9R0H0AOeorJ0m48Qaj+0Jpl7rlimnyyaVI8dmkvmNBB84UOw43Fsn8RXUX0Pj7wt4p1O90ezbxLo+osJI7We/wDLezfuFLnATJ6D26Y5teCPC2tR+I9T8YeKRAmsX8YgitYG3LawDB27uhJIGcenXngAp/B/7njH/sZLr/2Wjw7/AMl68Zf9eNp/6AtUdN0/xv4E8Qa/FpXhuHXdK1S+e9glW+S3aFn6hg3XHA4HbrzitDwN4V8S6Z4+17X/ABB9ndtTt4iXgb5Fcf8ALNQTnCqAMnrigDE+FXhbRtVuvFmp6nYW99Kut3NtGt1GJEjUEMdqtkAndyfYVD8MvBegy+LfGf2nT4bmDT9Te3s7e4USRwKSSdqtkZICjPXCiu0+G/h3UvDtp4gj1KFYmvNauLuHa4bdE4XaeOnQ8UeBvDupaJr3i66voVjh1LU2uLYhw25Dnk46dehoAw/hlZQaT8QfiDpdjGIbGC5tXigThYy6uWwOw6fkK9Jv1u3065SwkjjvGicQPKuUWTB2lh3GcZrkvCnh3UtK8f8AjPVbuFUs9UktmtXDglwiOGyByOSOtdrQB5//AGb8VP8AoYPDv/gHJ/jVf4Ordpp3ixL+SOS8XxLeCd4lwjSYj3FR2Gc4r0ivP/hZ/wAzr/2Nd9/7JQB6BRRRQAUUUUAFFFFAAaSlNJQAUUUUAFFFFAC0lLSUAFFFFAwooooAKWkooEIRTGFSGmkU0BUljyP/AK1UJ7UNn5R3/hrWZc1C8efWt4TaFYwX05ST8g/74pg01QfuD/vitww59aTyPrXQsRLuTYzYbJV/hHT+5WjDFt7d/SpFix61KqYrGdRyGkORcCpRSAYFOFc7ZQop1IKWpAKSlNJQAUUUUALRRRQAlJS0UAJRRRTAKWiikAUtJS0AFFFFABRRRQAUUUUAFc/47/5J54l/7BV1/wCimroK5/x3/wAk88S/9gq6/wDRTUAHgT/knnhr/sFWv/opa6Cuf8Cf8k88Nf8AYKtf/RS10FABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABXP8Ajv8A5J54l/7BV1/6Kaugrn/Hf/JPPEv/AGCrr/0U1AB4E/5J54a/7BVr/wCilroK5/wJ/wAk88Nf9gq1/wDRS10FABRRRQAlFFFACNUZWpSKTFIpMavFG35zTgKXHNAXEYU0cU402qRI7dUb8inUmKaAiCc1MgwKQCpO1DYEZHNKvFKetJUFDsA0EcUClpiG7eaVumKWmmhBcj281Io4pKcKpsQ0rzTgOKWipGMK89KcopaKdxCY5obpilzTTSQEZXJqRBikpy1TYDHGTTNtSsKbioLTBRTz0pAKU00SxmKUUUCqEPHSkNKOlIaljQlOFNp1IGBptONJVCAU7tTad2pAJRRRQAoooFFACUtJS0AFFFFAHn/xT/5kr/sa7H/2evQK8/8Ain/zJX/Y12P/ALPXoFABRRRQAUUUUAFFFFABRRRQAUUUUAFFFFABRRRQAUUUUAFef/Cz/mdf+xrvv/ZK9Arz/wCFn/M6/wDY133/ALJQB6BRRRQAUUUUAFFFFABSUtJQAUUUUAFFFAoAWkpaSgAooooGFFFFABRRRQAUEUUtAhhFNK1IRSYp3Ai2D/IpNn+cVLijFO4EYWnAUuKWi4CCnUYopALS0lLSASilpKACiiigBaKKKAEopaSgAooooAKKKKACloooAKKKKACiiigAooooAK5/x3/yTzxL/wBgq6/9FNXQVz/jv/knniX/ALBV1/6KagA8Cf8AJPPDX/YKtf8A0UtdBXP+BP8Aknnhr/sFWv8A6KWugoAKKKKACiiigAooooAoa1rOn+HtIuNV1S4FvZW4BkkKlsZIA4AJPJA4q6jrJGrqcqwBB9q8R+OHhXUh4Zv9cufE97cWkdwjRaaUCwpuYKOh5xngkZr2qz/48bf/AK5r/KgCauX8QfEbwl4XvhZavrUMF1gExKjyMuem4IDt/HFb2p3o07Sry+YZW2geYj1CqT/SvDPh74z8HeH/AA4b/XJGvfEGrSS3V+0dqZ3jUuwAY4wowM4/2unSgD3HS9VsNa06K/0y7iurSUZSWJsg/wCB9u1RavrmnaFFbSalciBbq5S1h+Utvlc/KuAD6Guc+HOn+GbfTb/UPCeoyXOm6jdGcwZGy3k7qq7QU4I4PYCvPPiJ4V1LS/EfhTVdQ8T3uq+brcEUdvMgRIQW3ZUKcZ4A6UAe70VkeKtVn0Lwnq2rWyRvPZ2kk8ayAlSyqSAcEHH40vhbVJtc8KaTqtykaT3lpFPIsYIUMygkDJJxz60Aa1Fec6L8QNU1L4T6r4rmtrNb6zFwUjRW8s+X0yC2frzWW/i/4j6h4PXxbpunaJbafHai5a1uPMaadVXLuMHCqcEqM5x3oA9aoryi38YfELxP4a/4SXw9pmj2WnJCZEt75nkmuSo+fbtwAuQQM4JxnjNdx4J8SDxd4O03XfJELXSHfGDkKysUbHtlTigDfrn/AB3/AMk88S/9gq6/9FNV3XPEOk+GrJLzWb6OztnkESySZwXIJA4Hop/KuG8X/E7wXf8AgrXrO18QWstzcadcRRRqGy7tGwAHHckUAdZ4E/5J54a/7BVr/wCilroK5/wJ/wAk88Nf9gq1/wDRS10FABRRRQAlFLSUAFGKKKADFFGaKAENNp1JimAlFLilAoAAKU0UhpANNFLRikUKKWkFL2piYhNNNONJTEApwpop1ABSUtJSGLRQKBQIQ0lONNpgFOFNFOFAAaTFLRSABSGl7U00AJSikpRTAcKKBRSASloooGFJS0UCAUtJRQAUUUUAKKKKKAEpaSloAKKKKAPP/in/AMyV/wBjXY/+z16BXn/xT/5kr/sa7H/2evQKACiiigAoornvFPjbQfBsEMms3nlPOSIYY0LySEdcKO3ueKAOhorm/Cvjvw/4y89dIu2a4t/9dbzRmORB6lT1HuM10lABRXPeKfG2g+DoYX1i98uSc4hgjQvJJ9FHb3P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",
-                        "text/plain": [
-                            "<PIL.PngImagePlugin.PngImageFile image mode=RGB size=1200x900>"
-                        ]
-                    },
-                    "metadata": {},
-                    "output_type": "display_data"
-                },
-                {
-                    "name": "stdout",
-                    "output_type": "stream",
-                    "text": [
-                        "{'S': {'1.55': {'o1@0,o1@0': (0.053495325-0.0026502106j),\n",
-                        "                'o2@0,o1@0': (0.26264098+0.9519006j)}},\n",
-                        " 'T': {'1.55': {'o1@0,o1@0': 0.0028687734, 'o2@0,o1@0': 0.97509503}},\n",
-                        " 'dB': {'1.55': {'o1@0,o1@0': -25.423038, 'o2@0,o1@0': -0.10953055}},\n",
-                        " 'optimized_designs': '[[...]]',\n",
-                        " 'path': 'C:\\\\Users\\\\pxshe\\\\OneDrive\\\\Desktop\\\\beans\\\\Luminescent.jl\\\\runs\\\\bend_R1.5',\n",
-                        " 'phasors': {'1.55': {'o1@0,o1@0': {'mag': 0.05356093, 'phase': -2.83617},\n",
-                        "                      'o2@0,o1@0': {'mag': 0.987469, 'phase': 74.575165}}}}\n"
-                    ]
-                }
-            ],
-            "source": [
-                "radius = 1.5\n",
-                "path = os.path.join(\"runs\",f\"bend_R{radius}\")\n",
-                "c = gf.components.bend_circular(radius=radius, allow_min_radius_violation=True)\n",
-                "\n",
-                "lumi.make_pic_sim_prob(path,c,  wavelengths=wavelengths, nres=nres, keys=keys)\n",
-                "lumi.solve(path)\n",
-                "sol = lumi.load_res(path)\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "1798648a-3c40-47ed-b310-e23f846ef789",
-            "metadata": {},
-            "source": [
-                "Loss increased to 0.11dB"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "37771b0d-2f35-4ed5-aee6-3fe3efe75496",
-            "metadata": {},
-            "source": [
-                "## customizing materials, layers, and modes"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 1,
-            "id": "4c41c1f0-aa3b-44d5-8b1c-bcebc3e6cf35",
-            "metadata": {},
-            "outputs": [],
-            "source": []
-        },
-        {
-            "cell_type": "markdown",
-            "id": "4d829e0b-80b6-434f-967b-0267db421a0b",
-            "metadata": {},
-            "source": [
-                "#### Defaults"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "2a7dadd8-9f21-4bfd-9441-6b7d24946b96",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# import luminescent as lumi\n",
-                "# from gdsfactory.generic_tech import LAYER,LAYER_STACK\n",
-                "# import gdsfactory as gf\n",
-                "# import pprint as pp\n",
-                "\n",
-                "# core_layer=LAYER.WG\n",
-                "# bbox_layer=LAYER.WAFER\n",
-                "# layer_stack=LAYER_STACK\n",
-                "\n",
-                "# N=3\n",
-                "# dtype=\"float32\"\n",
-                "# gpu=None"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "4d6b9de0-c1b9-430d-bca7-8091604d2d35",
-            "metadata": {},
-            "source": [
-                "#### TE1"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "ebe5b68e-869a-40a8-970a-2462e39a3cea",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# c = gf.components.straight(length=1.0,width=0.5,layer=core_layer)\n",
-                "# wavelengths=1.55\n",
-                "# nres=30\n",
-                "\n",
-                "# path=\"TE1\"\n",
-                "# keys=[\"o2@1,o1@1\"]\n",
-                "# lumi.make_pic_sim_prob(path,c, wavelengths=wavelengths, keys=keys,nres=nres, dtype=dtype, gpu=gpu)\n",
-                "# lumi.solve(path)\n",
-                "# lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "9964bac3-3033-4323-84f4-5d263216080e",
-            "metadata": {},
-            "source": [
-                "### Si rib waveguide\n",
-                "only need to modify bbox_layer to include 90nm bottom silicon slab"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "43ddd8ca-e448-4de9-9bb2-a513da684f3a",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# path=\"rib\"\n",
-                "# keys=[\"2,1\"]\n",
-                "# bbox_layer=[LAYER.WAFER,LAYER.SLAB90]\n",
-                "# lumi.make_pic_sim_prob(path,c, wavelengths=wavelengths, keys=keys,nres=nres,  dtype=dtype, gpu=gpu, \n",
-                "#                    bbox_layer=bbox_layer)\n",
-                "# lumi.solve(path)\n",
-                "# sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "4f0074d2-6ac4-4449-ab7d-cc52757378eb",
-            "metadata": {},
-            "source": [
-                "### SiN strip waveguide"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "01a40efb-966c-405a-93e6-9e500031ef84",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# path=\"SiN\"\n",
-                "# core_layer=LAYER.WGN\n",
-                "# c = gf.components.straight(length=2.0, width=1.0, layer=core_layer)\n",
-                "\n",
-                "# lumi.make_pic_sim_prob(path,c, wavelengths=wavelengths, keys=keys,nres=nres, dtype=dtype, gpu=gpu,\n",
-                "#                       core_layer=core_layer)\n",
-                "# lumi.solve(path)\n",
-                "# sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "61f06d88-d0f2-426f-9ca5-2eec996df8e3",
-            "metadata": {},
-            "source": [
-                "# Tutorials: PIC generative inverse design\n",
-                "We introduce GCells (generative cells), a natural evolution of PCells (parametric cells) in semiconductor design . Given a set of inverse design objectives, a GCell will generate optimal geometry using adjoint optimization while ensuring manufacturability by enforcing minimum feature lengths.\n",
-                "\n",
-                "In examples below, `mimo` (multi in multi out) is just a gdsfactory component with configurable waveguide ports, simple slab as pre-optimization geometry, and overlying rectangular design regions. Dimensions `l` along x and `w` along y. Ports are numbered incrementally: west (SW->NW) -> east (SE->NE) -> south (SW->SE) -> north (NW->NE). By default, they're spaced equally on a side. Example: `west=1, east=2` places port 1 on west, ports 2 & 3 on east. But can also individually specify their locations and widths. Example : `west=[1.0, 2.5], wwg_west=[0.5, 0.4]`.\n",
-                "\n",
-                "Optimization `targets` is a dictionary organized wrt target type & wavelength. Types include T-params (`tparams`, most common), phase difference (`phasediff`), S-params (`sparams`). Multiple types & wavelengths are possible & often necessary . Loss for each type is scaled automatically to vary from 0 to 1 usually . For example , `tparams` loss of 0.5 roughly means 50% of power going to wrong places.\n",
-                "\n",
-                "`lvoid` is minimum length scale for voids. No void features smaller than it (currently this isn't exact - contact us for a more precise algorithm). Similarly for `lsolid`. \n",
-                "\n",
-                "Setting `approx_2D_mode=\"TE\"` (or \"TM\") optimizes in 2.5D which serves as a fast initialization for 3D optimization. Examples done at low resolution and lax convergence in 2.5D on CPU. For accuracy, the result must be finetuned in 3D at finer resolution, a feature that can be requested from Luminescent AI .\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "25ef5a6b-0ba2-4356-be57-c6e6b685bc84",
-            "metadata": {},
-            "source": [
-                "## Generative cells PDK for passive devices \n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "b5be5b14",
-            "metadata": {},
-            "source": [
-                "### wavelength domain demultiplexer"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "ccf27d90",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# RAM: 20G\n",
-                "import os\n",
-                "import luminescent as lumi\n",
-                "\n",
-                "path = os.path.join(\"runs\", \"demux\")\n",
-                "c = lumi.mimo(west=1, east=2, l=3, w=3, wwg=.5,taper=0.05)\n",
-                "targets = {\"tparams\": {\n",
-                "    1.55: {\"2,1\": 1.0},\n",
-                "    1.20: {\"3,1\": 1.0},\n",
-                "}}\n",
-                "\n",
-                "lumi.make_pic_inv_prob(\n",
-                "    path, c, targets,\n",
-                "    lvoid=0.15, lsolid=0.15, nres=15,\n",
-                "    approx_2D_mode=\"TE\",stoploss=.05, iters=80)\n",
-                "lumi.solve(path)\n",
-                "sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "b1d94284-9892-406a-962a-63b9bda51883",
-            "metadata": {},
-            "source": [
-                "Can optionally optimize more using `finetune`"
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "f585b2c3-8c7d-42b6-b83b-bfa57dac8433",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# lumi.finetune(path,iters=40)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "8b4fbada-59e8-4dc9-8150-d241436a17ad",
-            "metadata": {},
-            "source": [
-                "Lets see simulation fields and optimized geometry. Note the lax convergence criteria (`stoploss=.05`) means the solution isn't perfect."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "332fe108-3f4d-422c-8007-a0bd034b38e2",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "190efaf0-1cbe-479e-b47c-c0b1bf4fecb0",
-            "metadata": {},
-            "source": [
-                "### 1x2 splitter MMI\n",
-                "1.55um wavelength 1x2 splitter. We set symmetry about y so only need to specify T21=.5 as optimization target. Data saved to `path` folder inside working directory. We start iteratiions of adjoint optimization."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": 1,
-            "id": "b95e430a-51fd-4019-8f5f-9d2b2e1a2548",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "import os\n",
-                "import luminescent as lumi\n",
-                "\n",
-                "path = os.path.join(\"runs\",\"splitter\")\n",
-                "c = lumi.mimo(west=1, east=2, l=4.0, w=2.0, wwg=.5, taper=.05, )\n",
-                "targets = {\n",
-                "    \"tparams\": {1.55: {\"2,1\": 0.5}},\n",
-                "}\n",
-                "\n",
-                "lumi.make_pic_inv_prob(\n",
-                "    path,c, targets, \n",
-                "     nres=15,  symmetries=[1],\n",
-                "    lvoid=0.15, lsolid=.15,\n",
-                "    iters=50, stoploss=.05, \n",
-                "    approx_2D_mode=\"TE\")\n",
-                "lumi.solve(path)\n",
-                "sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "35580d22-1728-49a7-8151-4d7794f5db6f",
-            "metadata": {},
-            "source": [
-                "### 1x4 splitter MMI\n",
-                "1x4 splitter at 1.55um with same phase on outputs. Because of symmetry, only need 0.0 phase difference between first 2 outputs."
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "7291eaf8-b99b-4fd4-8608-b9c7b178f293",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# finetune(iters=10,path)\n",
-                "# sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "5cc42b06",
-            "metadata": {},
-            "source": [
-                "### mode converter\n",
-                "We target \"o2@1,o1@0\", converting optical port 1 mode TE0 input to optical port 2 mode TE1 ouput at 1.55um. Mode converters are notoriously hard to design, but generative AI does it in a pinch! "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "18a1bb68",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# recommended RAM: >16G\n",
-                "# import luminescent as lumi\n",
-                "# import os\n",
-                "\n",
-                "# path = os.path.join(\"runs\",\"mode_converter\")\n",
-                "# c = lumi.mimo(west=1, east=1, l=5.0, w=2.4,\n",
-                "#                      wwg=.5, taper=.05)\n",
-                "# targets = {\"tparams\": {1.55: {\"o2@1,o1@0\": 1.0}}}\n",
-                "\n",
-                "# lumi.make_pic_inv_prob(\n",
-                "#     path,c, targets, \n",
-                "#     approx_2D_mode=\"TE\",  nres=15,\n",
-                "#     lvoid=0.15, lsolid=.15,\n",
-                "#     iters=100, stoploss=.05, )\n",
-                "# lumi.solve(path)\n",
-                "# lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "900bb6e7-904c-4d90-bc08-16ad2ca52eaf",
-            "metadata": {},
-            "source": [
-                "### symmetric crossing "
-            ]
-        },
-        {
-            "cell_type": "code",
-            "execution_count": null,
-            "id": "8a3336d1-c23d-4e11-b8ba-316d45e42d9d",
-            "metadata": {},
-            "outputs": [],
-            "source": [
-                "# from pprint import pprint\n",
-                "# import luminescent as lumi\n",
-                "\n",
-                "# path=os.path.join(\"runs\", \"crossing\")\n",
-                "# c = lumi.mimo(west=1, east=1, south=1, north=1, l=4.0, w=4.0, wwg=.5)\n",
-                "# targets = {\"tparams\":{1.55: {\"2,1\": 1.0}}}\n",
-                "\n",
-                "# lumi.make_pic_inv_prob(\n",
-                "#     path,c, targets, \n",
-                "#     lvoid=0.15,lsolid=0.15, nres=15, symmetries=[0,1],\n",
-                "#    approx_2D_mode=\"TE\", iters=40)\n",
-                "# lumi.solve(path)\n",
-                "# sol = lumi.load_res(path)"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "4a17ac28-2ecd-4880-9fae-fa5f1fbf3988",
-            "metadata": {},
-            "source": [
-                "## GCells PDK for active  devices"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "cbc85f5a-76c2-46c9-9841-c15e95293c16",
-            "metadata": {},
-            "source": [
-                "### Thermo-optic phase shifters \n",
-                "Please request "
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "ff996afd-c99e-4a65-9e99-058b4b899c99",
-            "metadata": {},
-            "source": [
-                "## GCells PDK for nonlinear devices\n",
-                "Please request "
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "b9eb48e9-ff16-4717-ab47-58949e66b052",
-            "metadata": {},
-            "source": [
-                "# Collaboration and research opportunities \n",
-                "We can publish or keep it proprietary, depending on your needs.\n",
-                "\n",
-                "Algorithms  \n",
-                "- Reduced basis geometry generators for length scale controlled topology optimization\n",
-                "- Automatic differentiation and GPU compatible FDTD for inverse design in photonics and RF\n",
-                "- Algorithms for reduced memory usage in time domain adjoint optimization\n",
-                "- Neural surrogates for FDTD\n",
-                "  \n",
-                "Photonic applications  \n",
-                "- Energy efficient and compact photonic phase shifters and resonators\n",
-                "- Energy efficient and compact photonic modulators and MZIs\n",
-                "- Inverse design of nonlinear photonic devices\n",
-                "- Inverse design of ...\n"
-            ]
-        },
-        {
-            "cell_type": "markdown",
-            "id": "2309f384",
-            "metadata": {},
-            "source": [
-                "# Links\n",
-                "[GitHub](https://github.com/paulxshen/Luminescent.jl): Star us :) We respond to issues within a day  \n",
-                "[LinkedIn](https://www.linkedin.com/company/luminescent-ai/about): Follow us for new features and bug fixes  \n",
-                "[Company](luminescentai.com): Consulting, collaboration, publication opportunities available\n",
-                "Email: pxshen@alumni.stanford.edu info@luminescentai.com  \n",
-                "WhatsApp: 650-776-7724  \n",
-                "WeChat: pxshen1230\n",
-                "<!-- [Youtube](https://www.youtube.com/playlist?list=PLaK09N11V08geHeqyLJLDAW0tiDeJtnd4): Video tutorials   -->"
-            ]
-        }
-    ],
-    "metadata": {
-        "kernelspec": {
-            "display_name": "base",
-            "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": "3.11.7"
-        }
-    },
-    "nbformat": 4,
-    "nbformat_minor": 5
+ "cells": [
+  {
+   "cell_type": "markdown",
+   "id": "0",
+   "metadata": {},
+   "source": [
+    "# FDTD Luminescent Simulation and Inverse Design\n",
+    "\n",
+    "v0.3-beta  \n",
+    "2024/12  \n",
+    "Paul Shen <pxshen@alumni.stanford.edu>  \n",
+    "<!-- **Undergoing maintenance. Check back in 2025 :D** -->\n",
+    "Open https://colab.research.google.com/github/paulxshen/Luminescent.jl/blob/master/Luminescent_AI_docs.ipynb if you can't see ouput figures or table of contents."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "1",
+   "metadata": {},
+   "source": [
+    "# Synopsis\n",
+    "\n",
+    "[Luminescent AI](https://luminescentai.com/) empowers photonic and RF engineers to simulate or inverse design complex electromagnetic components in just a few lines of code! We created an automatic differentiation (AD) and GPU compatible FDTD engine and geometry generator for photonic integrated circuits (PIC) and metasurfaces, as well (in the future) RF microstrip circuits and patch antennas. Experimental release 🥼. Expect bugs 🐛🐞\n",
+    "\n",
+    "[Follow us](https://www.linkedin.com/company/luminescent-ai/about) for updates! Star us [GitHub](https://github.com/paulxshen/Luminescent.jl) if you like our work. We respond to issues within a day  "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "2",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%HTML\n",
+    "<iframe width=\"560\" height=\"315\" src=\"https://www.youtube.com/embed/n_O1r6wggLU?si=x2tKzw4hzrIz6h7C\" title=\"YouTube video player\" frameborder=\"0\" allow=\"accelerometer; autoplay; clipboard-write; encrypted-media; gyroscope; picture-in-picture; web-share\" referrerpolicy=\"strict-origin-when-cross-origin\" allowfullscreen></iframe>"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "3",
+   "metadata": {},
+   "source": [
+    "# Features and conventions"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "4",
+   "metadata": {},
+   "source": [
+    "We do simulation and generative inverse design in 3D or 2.5D, with multiple wavelengths and modes, and on CPU or GPU. However, GPU acceleration is guaranteed only for simulation and not inverse design because the later requires significant VRAM. \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "5",
+   "metadata": {},
+   "source": [
+    "## Technical features of FDTD backend\n",
+    "- Automatic differentiation (AD) compatible for adjoint optimization\n",
+    "- Optional GPU acceleration \n",
+    "- Length scale controlled geometry optimizer \n",
+    "- Nonlinear and anisotropic materials \n",
+    "- Tensor subpixel smoothing for accuracy \n",
+    "- Adaptive graded grid and Float16 support for speed \n",
+    "- PML, periodic, PEC, PMC boundaries \n",
+    "- Modal sources, plane waves, Gaussian beams\n",
+    "- Modal monitors, DFT fields "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "6",
+   "metadata": {},
+   "source": [
+    "## Geometry layout\n",
+    "We layout using Python  gdsfactory which is integrated with KLayout. Can also import .gds into gdsfactory . Internally, gdsfactory component and layer stack let generate a 3D mesh which is clipped vertically some depths above and below `core_layer`. By default,\n",
+    "we apply a SOI 220nm node (Si, SiO, SiN and Ge layers) implemented by [`gdsfactory.generic_tech`](https://gdsfactory.github.io/gdsfactory/notebooks/03_layer_stack.html#layerstack) layer stack.\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "7",
+   "metadata": {},
+   "source": [
+    "## Materials\n",
+    "We use Tidy3D's open source `materials_library`. We map gdsfactory layerstack layers to Tidy3D materials via the layer's material property while taking into account common name variants (eg \"si\" or \"Si\" mapping to \"cSi\").\n",
+    "\n",
+    "Dispersive, anisotropic, and nonlinear materials are by default not simulated but can be implemented upon request."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "8",
+   "metadata": {},
+   "source": [
+    "## Margins and ports\n",
+    "We automatically extend waveguides and adds margins during simulation but port locations remain fixed thus not affecting sparams. Port numbers map to gdsfactory component ports. Specify port pairs as eg `2,1` which is equivalent to `o2@0,o1@0` meaning optical_port_number@mode_number."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "9",
+   "metadata": {},
+   "source": [
+    "## Reciprocity and symmetry\n",
+    "Usually only a subset of sparams is needed because of symmetry or reciprocity, specified as `keys` in sparams study or inferred automatically from inverse design study. We do a run for each port excitation. If `keys` is omitted in sparams study, all sparams will be calculated requiring more runs."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "10",
+   "metadata": {},
+   "source": [
+    "## File workflow\n",
+    "Each simulation or design optimization run is saved to a folder path. Can access saved runs via `load_res`, `finetune` "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "11",
+   "metadata": {},
+   "source": [
+    "# Installation\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "12",
+   "metadata": {},
+   "source": [
+    "## Frontend\n",
+    "If on Windows, Install Anaconda distribution of Python and use  Anaconda Prompt for pip installs.  \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "13",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%shell\n",
+    "pip install -U luminescent &> /dev/null"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "14",
+   "metadata": {},
+   "source": [
+    "## Backend\n",
+    "Install latest Julia. If on Windows, use [julialang.org](https://julialang.org). If on Linux, can do:"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "15",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%shell\n",
+    "URL=\"https://julialang-s3.julialang.org/bin/linux/x64/1.11/julia-1.11.2-linux-x86_64.tar.gz\"\n",
+    "wget -nv $URL -O /tmp/julia.tar.gz # -nv means \"not verbose\"\n",
+    "tar -x -f /tmp/julia.tar.gz -C /usr/local --strip-components 1\n",
+    "rm /tmp/julia.tar.gz"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "16",
+   "metadata": {},
+   "source": [
+    "Install FDTD (20min)"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "17",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "%%shell\n",
+    "julia -e 'using Pkg; pkg\"add https://github.com/paulxshen/Luminescent.jl\"' &> /dev/null"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "18",
+   "metadata": {},
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "19",
+   "metadata": {},
+   "source": [
+    "# Tutorials: PIC S-parameters simulation"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "20",
+   "metadata": {},
+   "source": [
+    "## waveguide bend"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "21",
+   "metadata": {},
+   "source": [
+    "### 5um inner radius"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "22",
+   "metadata": {},
+   "source": [
+    "#### Single wavelength 3D\n",
+    "We characterize insertion loss (IL) of waveguide bends wrt radius. We set R=5.0um, the often cited minimum radius in silicon photonics. First, we use `gdsfactory` to make the bend (note `gdsfactory` uses inner radius). Next, we simulates and saves results, which are retrieved and visualized by `load_res`. \n",
+    "\n",
+    "`nres` is the maximum resolution - the number of points per wavelength in free space. The grid is adaptive so border regions actually use a lower resolution for speed. Remember FDTD scales as O(n^4)! `nres` has a huge effect on simulation time! Here, `nres=40` is accurate but can take half hour on CPU. `nres=20` is 16x faster and offers a reasonable estimate. Finally, Because of reciprocity we only need S or T param keys of \"2,1\". \n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "23",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import gdsfactory as gf\n",
+    "import luminescent as lumi\n",
+    "import numpy as np\n",
+    "\n",
+    "radius = 5\n",
+    "c = gf.components.bend_circular(radius=radius)\n",
+    "# c.plot()\n",
+    "\n",
+    "path = os.path.join(\"runs\", f\"bend_R{radius}\")\n",
+    "wavelengths = 1.55\n",
+    "keys = [\"2,1\"]  # same as keys=[\"o2@0,o1@0\"]\n",
+    "nres = 30\n",
+    "dtype = \"float32\"\n",
+    "\n",
+    "lumi.make_pic_sim_prob(\n",
+    "    path, c, wavelengths=wavelengths, nres=nres, keys=keys, dtype=dtype\n",
+    ")\n",
+    "lumi.solve(path)\n",
+    "sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "24",
+   "metadata": {},
+   "source": [
+    "Loss is -0.02dB, similar to [Tidy3D example](https://www.flexcompute.com/tidy3d/examples/notebooks/EulerWaveguideBend/)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "25",
+   "metadata": {},
+   "source": [
+    "#### Wavelength range 3D\n",
+    "We can repeat the simulation with multiple wavelengths in a range. Closely spaced wavelengths may require longer integration periods to resolve.\n"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "26",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "path = os.path.join(\"runs\", f\"bend_R{radius}_multi\")\n",
+    "wavelengths = np.linspace(1.5, 1.6, 5)  # number or list or array\n",
+    "\n",
+    "lumi.make_pic_sim_prob(\n",
+    "    path,\n",
+    "    c,\n",
+    "    wavelengths=wavelengths,\n",
+    "    nres=nres,\n",
+    "    keys=keys,\n",
+    ")\n",
+    "lumi.solve(path)\n",
+    "sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "27",
+   "metadata": {},
+   "source": [
+    "#### Quickie 2.5D approximation \n",
+    "Set `approx_2D_mode=\"TE\"` to do a 2.5D simulation using (Ex, Ey, Hz) on a 2D plane with an \"effective\" refractive index integrated from a vertical modal profile. This is significantly faster but not accurate. Nevertheless it's a good way of exploring various geometries."
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "28",
+   "metadata": {},
+   "source": [
+    "### 1.5um inner radius\n",
+    "Let's try a tighter bend"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "29",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "radius = 1.5\n",
+    "path = os.path.join(\"runs\", f\"bend_R{radius}\")\n",
+    "c = gf.components.bend_circular(radius=radius, allow_min_radius_violation=True)\n",
+    "\n",
+    "lumi.make_pic_sim_prob(path, c, wavelengths=wavelengths, nres=nres, keys=keys)\n",
+    "lumi.solve(path)\n",
+    "sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "30",
+   "metadata": {},
+   "source": [
+    "Loss increased to 0.11dB"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "31",
+   "metadata": {},
+   "source": [
+    "## customizing materials, layers, and modes"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "32",
+   "metadata": {},
+   "outputs": [],
+   "source": []
+  },
+  {
+   "cell_type": "markdown",
+   "id": "33",
+   "metadata": {},
+   "source": [
+    "#### Defaults"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "34",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# import luminescent as lumi\n",
+    "# from gdsfactory.generic_tech import LAYER,LAYER_STACK\n",
+    "# import gdsfactory as gf\n",
+    "# import pprint as pp\n",
+    "\n",
+    "# core_layer=LAYER.WG\n",
+    "# bbox_layer=LAYER.WAFER\n",
+    "# layer_stack=LAYER_STACK\n",
+    "\n",
+    "# N=3\n",
+    "# dtype=\"float32\"\n",
+    "# gpu=None"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "35",
+   "metadata": {},
+   "source": [
+    "#### TE1"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "36",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# c = gf.components.straight(length=1.0,width=0.5,layer=core_layer)\n",
+    "# wavelengths=1.55\n",
+    "# nres=30\n",
+    "\n",
+    "# path=\"TE1\"\n",
+    "# keys=[\"o2@1,o1@1\"]\n",
+    "# lumi.make_pic_sim_prob(path,c, wavelengths=wavelengths, keys=keys,nres=nres, dtype=dtype, gpu=gpu)\n",
+    "# lumi.solve(path)\n",
+    "# lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "37",
+   "metadata": {},
+   "source": [
+    "### Si rib waveguide\n",
+    "only need to modify bbox_layer to include 90nm bottom silicon slab"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "38",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# path=\"rib\"\n",
+    "# keys=[\"2,1\"]\n",
+    "# bbox_layer=[LAYER.WAFER,LAYER.SLAB90]\n",
+    "# lumi.make_pic_sim_prob(path,c, wavelengths=wavelengths, keys=keys,nres=nres,  dtype=dtype, gpu=gpu,\n",
+    "#                    bbox_layer=bbox_layer)\n",
+    "# lumi.solve(path)\n",
+    "# sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "39",
+   "metadata": {},
+   "source": [
+    "### SiN strip waveguide"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "40",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# path=\"SiN\"\n",
+    "# core_layer=LAYER.WGN\n",
+    "# c = gf.components.straight(length=2.0, width=1.0, layer=core_layer)\n",
+    "\n",
+    "# lumi.make_pic_sim_prob(path,c, wavelengths=wavelengths, keys=keys,nres=nres, dtype=dtype, gpu=gpu,\n",
+    "#                       core_layer=core_layer)\n",
+    "# lumi.solve(path)\n",
+    "# sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "41",
+   "metadata": {},
+   "source": [
+    "# Tutorials: PIC generative inverse design\n",
+    "We introduce GCells (generative cells), a natural evolution of PCells (parametric cells) in semiconductor design . Given a set of inverse design objectives, a GCell will generate optimal geometry using adjoint optimization while ensuring manufacturability by enforcing minimum feature lengths.\n",
+    "\n",
+    "In examples below, `mimo` (multi in multi out) is just a gdsfactory component with configurable waveguide ports, simple slab as pre-optimization geometry, and overlying rectangular design regions. Dimensions `l` along x and `w` along y. Ports are numbered incrementally: west (SW->NW) -> east (SE->NE) -> south (SW->SE) -> north (NW->NE). By default, they're spaced equally on a side. Example: `west=1, east=2` places port 1 on west, ports 2 & 3 on east. But can also individually specify their locations and widths. Example : `west=[1.0, 2.5], wwg_west=[0.5, 0.4]`.\n",
+    "\n",
+    "Optimization `targets` is a dictionary organized wrt target type & wavelength. Types include T-params (`tparams`, most common), phase difference (`phasediff`), S-params (`sparams`). Multiple types & wavelengths are possible & often necessary . Loss for each type is scaled automatically to vary from 0 to 1 usually . For example , `tparams` loss of 0.5 roughly means 50% of power going to wrong places.\n",
+    "\n",
+    "`lvoid` is minimum length scale for voids. No void features smaller than it (currently this isn't exact - contact us for a more precise algorithm). Similarly for `lsolid`. \n",
+    "\n",
+    "Setting `approx_2D_mode=\"TE\"` (or \"TM\") optimizes in 2.5D which serves as a fast initialization for 3D optimization. Examples done at low resolution and lax convergence in 2.5D on CPU. For accuracy, the result must be finetuned in 3D at finer resolution, a feature that can be requested from Luminescent AI .\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "42",
+   "metadata": {},
+   "source": [
+    "## Generative cells PDK for passive devices \n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "43",
+   "metadata": {},
+   "source": [
+    "### wavelength domain demultiplexer"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "44",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# RAM: 20G\n",
+    "import os\n",
+    "\n",
+    "import luminescent as lumi\n",
+    "\n",
+    "path = os.path.join(\"runs\", \"demux\")\n",
+    "c = lumi.mimo(west=1, east=2, l=3, w=3, wwg=0.5, taper=0.05)\n",
+    "targets = {\n",
+    "    \"tparams\": {\n",
+    "        1.55: {\"2,1\": 1.0},\n",
+    "        1.20: {\"3,1\": 1.0},\n",
+    "    }\n",
+    "}\n",
+    "\n",
+    "lumi.make_pic_inv_prob(\n",
+    "    path,\n",
+    "    c,\n",
+    "    targets,\n",
+    "    lvoid=0.15,\n",
+    "    lsolid=0.15,\n",
+    "    nres=15,\n",
+    "    approx_2D_mode=\"TE\",\n",
+    "    stoploss=0.05,\n",
+    "    iters=80,\n",
+    ")\n",
+    "lumi.solve(path)\n",
+    "sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "45",
+   "metadata": {},
+   "source": [
+    "Can optionally optimize more using `finetune`"
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "46",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# lumi.finetune(path,iters=40)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "47",
+   "metadata": {},
+   "source": [
+    "Lets see simulation fields and optimized geometry. Note the lax convergence criteria (`stoploss=.05`) means the solution isn't perfect."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "48",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "49",
+   "metadata": {},
+   "source": [
+    "### 1x2 splitter MMI\n",
+    "1.55um wavelength 1x2 splitter. We set symmetry about y so only need to specify T21=.5 as optimization target. Data saved to `path` folder inside working directory. We start iteratiions of adjoint optimization."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "50",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "import os\n",
+    "\n",
+    "import luminescent as lumi\n",
+    "\n",
+    "path = os.path.join(\"runs\", \"splitter\")\n",
+    "c = lumi.mimo(\n",
+    "    west=1,\n",
+    "    east=2,\n",
+    "    l=4.0,\n",
+    "    w=2.0,\n",
+    "    wwg=0.5,\n",
+    "    taper=0.05,\n",
+    ")\n",
+    "targets = {\n",
+    "    \"tparams\": {1.55: {\"2,1\": 0.5}},\n",
+    "}\n",
+    "\n",
+    "lumi.make_pic_inv_prob(\n",
+    "    path,\n",
+    "    c,\n",
+    "    targets,\n",
+    "    nres=15,\n",
+    "    symmetries=[1],\n",
+    "    lvoid=0.15,\n",
+    "    lsolid=0.15,\n",
+    "    iters=50,\n",
+    "    stoploss=0.05,\n",
+    "    approx_2D_mode=\"TE\",\n",
+    ")\n",
+    "lumi.solve(path)\n",
+    "sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "51",
+   "metadata": {},
+   "source": [
+    "### 1x4 splitter MMI\n",
+    "1x4 splitter at 1.55um with same phase on outputs. Because of symmetry, only need 0.0 phase difference between first 2 outputs."
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "52",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# finetune(iters=10,path)\n",
+    "# sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "53",
+   "metadata": {},
+   "source": [
+    "### mode converter\n",
+    "We target \"o2@1,o1@0\", converting optical port 1 mode TE0 input to optical port 2 mode TE1 ouput at 1.55um. Mode converters are notoriously hard to design, but generative AI does it in a pinch! "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "54",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# recommended RAM: >16G\n",
+    "# import luminescent as lumi\n",
+    "# import os\n",
+    "\n",
+    "# path = os.path.join(\"runs\",\"mode_converter\")\n",
+    "# c = lumi.mimo(west=1, east=1, l=5.0, w=2.4,\n",
+    "#                      wwg=.5, taper=.05)\n",
+    "# targets = {\"tparams\": {1.55: {\"o2@1,o1@0\": 1.0}}}\n",
+    "\n",
+    "# lumi.make_pic_inv_prob(\n",
+    "#     path,c, targets,\n",
+    "#     approx_2D_mode=\"TE\",  nres=15,\n",
+    "#     lvoid=0.15, lsolid=.15,\n",
+    "#     iters=100, stoploss=.05, )\n",
+    "# lumi.solve(path)\n",
+    "# lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "55",
+   "metadata": {},
+   "source": [
+    "### symmetric crossing "
+   ]
+  },
+  {
+   "cell_type": "code",
+   "execution_count": null,
+   "id": "56",
+   "metadata": {},
+   "outputs": [],
+   "source": [
+    "# from pprint import pprint\n",
+    "# import luminescent as lumi\n",
+    "\n",
+    "# path=os.path.join(\"runs\", \"crossing\")\n",
+    "# c = lumi.mimo(west=1, east=1, south=1, north=1, l=4.0, w=4.0, wwg=.5)\n",
+    "# targets = {\"tparams\":{1.55: {\"2,1\": 1.0}}}\n",
+    "\n",
+    "# lumi.make_pic_inv_prob(\n",
+    "#     path,c, targets,\n",
+    "#     lvoid=0.15,lsolid=0.15, nres=15, symmetries=[0,1],\n",
+    "#    approx_2D_mode=\"TE\", iters=40)\n",
+    "# lumi.solve(path)\n",
+    "# sol = lumi.load_res(path)"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "57",
+   "metadata": {},
+   "source": [
+    "## GCells PDK for active  devices"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "58",
+   "metadata": {},
+   "source": [
+    "### Thermo-optic phase shifters \n",
+    "Please request "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "59",
+   "metadata": {},
+   "source": [
+    "## GCells PDK for nonlinear devices\n",
+    "Please request "
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "60",
+   "metadata": {},
+   "source": [
+    "# Collaboration and research opportunities \n",
+    "We can publish or keep it proprietary, depending on your needs.\n",
+    "\n",
+    "Algorithms  \n",
+    "- Reduced basis geometry generators for length scale controlled topology optimization\n",
+    "- Automatic differentiation and GPU compatible FDTD for inverse design in photonics and RF\n",
+    "- Algorithms for reduced memory usage in time domain adjoint optimization\n",
+    "- Neural surrogates for FDTD\n",
+    "  \n",
+    "Photonic applications  \n",
+    "- Energy efficient and compact photonic phase shifters and resonators\n",
+    "- Energy efficient and compact photonic modulators and MZIs\n",
+    "- Inverse design of nonlinear photonic devices\n",
+    "- Inverse design of ...\n"
+   ]
+  },
+  {
+   "cell_type": "markdown",
+   "id": "61",
+   "metadata": {},
+   "source": [
+    "# Links\n",
+    "[GitHub](https://github.com/paulxshen/Luminescent.jl): Star us :) We respond to issues within a day  \n",
+    "[LinkedIn](https://www.linkedin.com/company/luminescent-ai/about): Follow us for new features and bug fixes  \n",
+    "[Company](luminescentai.com): Consulting, collaboration, publication opportunities available\n",
+    "Email: pxshen@alumni.stanford.edu info@luminescentai.com  \n",
+    "WhatsApp: 650-776-7724  \n",
+    "WeChat: pxshen1230\n",
+    "<!-- [Youtube](https://www.youtube.com/playlist?list=PLaK09N11V08geHeqyLJLDAW0tiDeJtnd4): Video tutorials   -->"
+   ]
+  }
+ ],
+ "metadata": {
+  "kernelspec": {
+   "display_name": "base",
+   "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": "3.11.7"
+  }
+ },
+ "nbformat": 4,
+ "nbformat_minor": 5
 }