BioEmu.ipynb

{
  "nbformat": 4,
  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "machine_shape": "hm",
      "gpuType": "A100",
      "authorship_tag": "ABX9TyPq04riBPA7KjkNSenEXTOM",
      "include_colab_link": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/pablo-arantes/making-it-rain/blob/main/BioEmu.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# **Hello there!**\n",
        "\n",
        "This is a Jupyter notebook for running Biomolecular Emulator (BioEmu for short), a model that samples from the approximated equilibrium distribution of structures for a protein monomer, given its amino acid sequence.\n",
        "BioEmu outputs structures in backbone frame representation. To reconstruct the side-chains, several tools are available. As an example, we interface with HPacker (https://github.com/gvisani/hpacker) to conduct side-chain reconstruction.\n",
        "\n",
        "BioEmu is based on the paper:\n",
        "\n",
        "📄 Scalable emulation of protein equilibrium ensembles with generative deep learning\n",
        "\n",
        "👨‍🔬 Authors: Sarah Lewis & Frank Noé (corresponding), et al.\n",
        "\n",
        "📌 Read it here: https://www.biorxiv.org/content/10.1101/2024.12.05.626885v1.abstract\n",
        "\n",
        "The main goal of this notebook is to demonstrate how to harness the power of cloud-computing to emulate of protein equilibrium ensembles with generative deep learning model in a cheap and yet feasible fashion.\n",
        "\n",
        "---\n",
        "**Bugs**\n",
        "- If you encounter any bugs, please report the issue to https://github.com/pablo-arantes/making-it-rain/issues\n",
        "\n",
        "**Acknowledgments**\n",
        "- We would like to thank the [BioEmu](https://github.com/microsoft/bioemu) team for developing an excellent and open source model.\n",
        "\n",
        "- A Making-it-rain by **Pablo R. Arantes** ([@pablitoarantes](https://twitter.com/pablitoarantes)), **Marcelo D. Polêto** ([@mdpoleto](https://twitter.com/mdpoleto)), **Conrado Pedebos** ([@ConradoPedebos](https://twitter.com/ConradoPedebos)) and **Rodrigo Ligabue-Braun** ([@ligabue_braun](https://twitter.com/ligabue_braun)).\n",
        "\n",
        "\n",
        "- Also, credit to [David Koes](https://github.com/dkoes) for his awesome [py3Dmol](https://3dmol.csb.pitt.edu/) plugin.\n",
        "\n",
        "- For related notebooks see: [Making-it-rain](https://github.com/pablo-arantes/making-it-rain)"
      ],
      "metadata": {
        "id": "lvLjtJaDkmDv"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Introduction\n",
        "\n",
        "In terms of inputs, we wil need:\n",
        "*  An amino acid sequence of your protein.\n",
        "\n",
        "In this notebook, we will emulate an equilibrium ensembles of a chignolin protein.\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "rugMMhC-lsmU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Using Google Drive to store simulation data\n",
        "\n",
        "Google Colab does not allow users to keep data on their computing nodes. However, we can use Google Drive to read, write, and store our simulations files. Therefore, we suggest to you to:\n",
        "\n",
        "1.   Create a folder in your own Google Drive.\n",
        "2.   Copy the path of your created directory. We will use it below."
      ],
      "metadata": {
        "id": "kpgws4nkmH6W"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "---\n",
        "---\n",
        "## Setting the environment for our calculations\n",
        "\n",
        "Firstly, we need to install all necessary libraries and packages. The main packages we will be installing are:\n",
        "\n",
        "1.    Anaconda (https://docs.conda.io/en/latest/miniconda.html)\n",
        "2.    BioEmu (https://github.com/microsoft/bioemu)\n",
        "3.    PyTraj (https://amber-md.github.io/pytraj/latest/index.html)\n",
        "4.    py3Dmol (https://pypi.org/project/py3Dmol/)\n",
        "5.    Numpy (https://numpy.org/)\n",
        "6.    Matplotlib (https://matplotlib.org/)\n",
        "7.    AmberTools (https://ambermd.org/AmberTools.php)"
      ],
      "metadata": {
        "id": "FhVINh3bIajx"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Install Conda Colab**\n",
        "#@markdown It will restart the kernel (session), don't worry.\n",
        "!pip install -q condacolab\n",
        "import condacolab\n",
        "condacolab.install()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "cellView": "form",
        "id": "zzLj5yzBgbaK",
        "outputId": "006f3abb-561b-409e-db7e-9e4fcd3e218f"
      },
      "execution_count": 1,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "⏬ Downloading https://github.com/jaimergp/miniforge/releases/download/24.11.2-1_colab/Miniforge3-colab-24.11.2-1_colab-Linux-x86_64.sh...\n",
            "📦 Installing...\n",
            "📌 Adjusting configuration...\n",
            "🩹 Patching environment...\n",
            "⏲ Done in 0:00:07\n",
            "🔁 Restarting kernel...\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "eKAcWCOHh2fJ",
        "cellView": "form"
      },
      "outputs": [],
      "source": [
        "#@title **Install dependencies**\n",
        "#@markdown It will take a few minutes, please, drink a coffee and wait. ;-)\n",
        "# install dependencies\n",
        "import sys\n",
        "import os\n",
        "import subprocess\n",
        "\n",
        "commands = [\n",
        "    # \"pip install bioemu\",\n",
        "    \"pip install git+https://github.com/pablo-arantes/bioemu\",\n",
        "    \"pip -q install py3Dmol\",\n",
        "    \"pip install --upgrade MDAnalysis==2.4.2\",\n",
        "    \"mamba install -c conda-forge ambertools -y\",\n",
        "\n",
        "]\n",
        "\n",
        "for cmd in commands:\n",
        "    subprocess.run(cmd, shell=True)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title ### **Import Google Drive**\n",
        "#@markdown Click in the \"Run\" buttom to make your Google Drive accessible.\n",
        "from google.colab import drive\n",
        "\n",
        "drive.mount('/content/drive', force_remount=True)"
      ],
      "metadata": {
        "cellView": "form",
        "id": "SMyFGjQvHEAx",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ef31c224-1a91-4bf7-e559-a79275c4f0d3"
      },
      "execution_count": 2,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Check if you correctly allocated GPU nodes**\n",
        "\n",
        "gpu_info = !nvidia-smi\n",
        "gpu_info = '\\n'.join(gpu_info)\n",
        "if gpu_info.find('failed') >= 0:\n",
        "  print('Select the Runtime > \"Change runtime type\" menu to enable a GPU accelerator, ')\n",
        "  print('and then re-execute this cell.')\n",
        "else:\n",
        "  print(gpu_info)"
      ],
      "metadata": {
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ONYdnuf9HHVu",
        "outputId": "4bca31e4-1551-45be-f05b-3a0f074bf9ff"
      },
      "execution_count": 3,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Sat Mar  1 00:39:06 2025       \n",
            "+-----------------------------------------------------------------------------------------+\n",
            "| NVIDIA-SMI 550.54.15              Driver Version: 550.54.15      CUDA Version: 12.4     |\n",
            "|-----------------------------------------+------------------------+----------------------+\n",
            "| GPU  Name                 Persistence-M | Bus-Id          Disp.A | Volatile Uncorr. ECC |\n",
            "| Fan  Temp   Perf          Pwr:Usage/Cap |           Memory-Usage | GPU-Util  Compute M. |\n",
            "|                                         |                        |               MIG M. |\n",
            "|=========================================+========================+======================|\n",
            "|   0  NVIDIA A100-SXM4-40GB          Off |   00000000:00:04.0 Off |                    0 |\n",
            "| N/A   29C    P0             44W /  400W |       0MiB /  40960MiB |      0%      Default |\n",
            "|                                         |                        |             Disabled |\n",
            "+-----------------------------------------+------------------------+----------------------+\n",
            "                                                                                         \n",
            "+-----------------------------------------------------------------------------------------+\n",
            "| Processes:                                                                              |\n",
            "|  GPU   GI   CI        PID   Type   Process name                              GPU Memory |\n",
            "|        ID   ID                                                               Usage      |\n",
            "|=========================================================================================|\n",
            "|  No running processes found                                                             |\n",
            "+-----------------------------------------------------------------------------------------+\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Please, provide the necessary inputs**:\n",
        "\n",
        "Google_Drive_Path = '/content/drive/MyDrive/BioEmu' #@param {type:\"string\"}\n",
        "workDir = Google_Drive_Path\n",
        "Sequence = 'GYDPETGTWG' #@param {type:\"string\"}\n",
        "number_of_samples = 1000 #@param {type:\"slider\", min:10, max:5000, step:10}\n",
        "output = 'test_chignolin' #@param {type:\"string\"}\n",
        "import os\n",
        "from bioemu.sample import main as sample\n",
        "sample(sequence=Sequence, num_samples=int(number_of_samples), output_dir=os.path.join(workDir, output))"
      ],
      "metadata": {
        "cellView": "form",
        "id": "Fk9bZi5MiD8h"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Concatenate and align the ensemble trajectory**\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "import MDAnalysis as mda\n",
        "from MDAnalysis.analysis import align, rms\n",
        "import pytraj as pt\n",
        "\n",
        "workDir = Google_Drive_Path\n",
        "Skip = \"1\" #@param [\"1\", \"2\", \"5\", \"10\", \"20\", \"50\"]\n",
        "stride_traj = Skip\n",
        "Output_format = \"dcd\" #@param [\"dcd\", \"pdb\", \"trr\", \"xtc\"]\n",
        "\n",
        "\n",
        "workDir2 = os.path.join(workDir, output)\n",
        "pdb_ref=  os.path.join(workDir2, \"topology.pdb\")\n",
        "traj = os.path.join(workDir2, \"samples.xtc\")\n",
        "\n",
        "# traj_end = os.path.join(workDir, str(Jobname) + \"_all.dcd\")\n",
        "nw_dcd = os.path.join(workDir2, \"samples_fix.\" + str(Output_format))\n",
        "nw_pdb = os.path.join(workDir2, \"topology_fix.pdb\")\n",
        "\n",
        "\n",
        "\n",
        "u1 = mda.Universe(pdb_ref, traj)\n",
        "u2 = mda.Universe(pdb_ref, pdb_ref)\n",
        "\n",
        "u2.trajectory[0] # set u2 to first frame\n",
        "\n",
        "align.AlignTraj(u1, u2, select='name CA', in_memory=True).run()\n",
        "\n",
        "nw = u1.select_atoms(\"all\")\n",
        "with mda.Writer(nw_dcd, nw.n_atoms) as W:\n",
        "  for ts in u1.trajectory[::int(Skip)]:\n",
        "      W.write(nw, )\n",
        "not_waters = u2.select_atoms(\"all\")\n",
        "not_waters.write(nw_pdb)\n",
        "traj_dcd_check = os.path.exists(nw_dcd)\n",
        "traj = nw_dcd\n",
        "pdb_ref = nw_pdb\n",
        "\n",
        "\n",
        "traj_load = pt.load(traj, pdb_ref)\n",
        "print(traj_load)\n",
        "\n",
        "if traj_dcd_check == True:\n",
        "  print(\"Trajectory concatenated successfully! :-)\")\n",
        "else:\n",
        "  print(\"ERROR: Check your inputs! \")"
      ],
      "metadata": {
        "id": "U33XEKeehTkk",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "cellView": "form",
        "outputId": "632641c0-cb07-4e79-df8d-bf70492aaf2a"
      },
      "execution_count": 43,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "pytraj.Trajectory, 1000 frames: \n",
            "Size: 0.001051 (GB)\n",
            "<Topology: 47 atoms, 10 residues, 2 mols, PBC with box type = cubic>\n",
            "           \n",
            "Trajectory concatenated successfully! :-)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Load, view and check the ensemble**\n",
        "#@markdown This will take a few minutes.\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "import py3Dmol\n",
        "import MDAnalysis as mda\n",
        "#py3dmol functions\n",
        "class Atom(dict):\n",
        "  def __init__(self, line):\n",
        "    self[\"type\"] = line[0:6].strip()\n",
        "    self[\"idx\"] = line[6:11].strip()\n",
        "    self[\"name\"] = line[12:16].strip()\n",
        "    self[\"resname\"] = line[17:20].strip()\n",
        "    self[\"resid\"] = int(int(line[22:26]))\n",
        "    self[\"x\"] = float(line[30:38])\n",
        "    self[\"y\"] = float(line[38:46])\n",
        "    self[\"z\"] = float(line[46:54])\n",
        "    self[\"sym\"] = line[76:78].strip()\n",
        "\n",
        "  def __str__(self):\n",
        "    line = list(\" \" * 80)\n",
        "    line[0:6] = self[\"type\"].ljust(6)\n",
        "    line[6:11] = self[\"idx\"].ljust(5)\n",
        "    line[12:16] = self[\"name\"].ljust(4)\n",
        "    line[17:20] = self[\"resname\"].ljust(3)\n",
        "    line[22:26] = str(self[\"resid\"]).ljust(4)\n",
        "    line[30:38] = str(self[\"x\"]).rjust(8)\n",
        "    line[38:46] = str(self[\"y\"]).rjust(8)\n",
        "    line[46:54] = str(self[\"z\"]).rjust(8)\n",
        "    line[76:78] = self[\"sym\"].rjust(2)\n",
        "    return \"\".join(line) + \"\\n\"\n",
        "\n",
        "class Molecule(list):\n",
        "  def __init__(self, file):\n",
        "    for line in file:\n",
        "      if \"ATOM\" in line or \"HETATM\" in line:\n",
        "        self.append(Atom(line))\n",
        "\n",
        "    def __str__(self):\n",
        "      outstr = \"\"\n",
        "      for at in self:\n",
        "        outstr += str(at)\n",
        "      return outstr\n",
        "\n",
        "\n",
        "stride_animation =  100 #@param {type:\"slider\", min:0, max:1000, step:10}\n",
        "\n",
        "workDir2 = os.path.join(workDir, output)\n",
        "pdb_ref=  os.path.join(workDir2, \"topology_fix.pdb\")\n",
        "traj = os.path.join(workDir2, \"samples_fix.dcd\")\n",
        "\n",
        "u = mda.Universe(pdb_ref, traj)\n",
        "\n",
        "# Write out frames for animation\n",
        "protein = u.select_atoms('all')\n",
        "i = 0\n",
        "for ts in u.trajectory[0:len(u.trajectory):int(stride_animation)]:\n",
        "    if i > -1:\n",
        "        with mda.Writer('' + str(i) + '.pdb', protein.n_atoms) as W:\n",
        "            W.write(protein)\n",
        "    i = i + 1\n",
        "# Load frames as molecules\n",
        "molecules = []\n",
        "for i in range(int(len(u.trajectory)/int(stride_animation))):\n",
        "    with open('' + str(i) + '.pdb') as ifile:\n",
        "        molecules.append(Molecule(ifile))\n",
        "\n",
        "models = \"\"\n",
        "for i in range(len(molecules)):\n",
        "  models += \"MODEL \" + str(i) + \"\\n\"\n",
        "  for j,mol in enumerate(molecules[i]):\n",
        "    models += str(mol)\n",
        "  models += \"ENDMDL\\n\"\n",
        "#view.addModelsAsFrames(models)\n",
        "\n",
        "# Animation\n",
        "view = py3Dmol.view(width=800, height=600)\n",
        "view.addModelsAsFrames(models)\n",
        "for i, at in enumerate(molecules[0]):\n",
        "    default = {\"cartoon\": {'color': 'spectrum'}}\n",
        "    view.setStyle({'model': -1, 'serial': i+1}, at.get(\"pymol\", default))\n",
        "\n",
        "view.zoomTo()\n",
        "view.animate({'loop': \"forward\"})\n",
        "view.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 617
        },
        "cellView": "form",
        "id": "b1twGd2EiOv2",
        "outputId": "0ecaa958-d009-40dd-837e-9564dcd58bfd"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "display_data",
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1          -6.02   -1.41   0.739                       C  \\nATOM  9     O    TYR  1          -4.64   -3.91  -1.201                       O  \\nATOM  10    N    ASP  2          -2.98   -3.07   0.998                       N  \\nATOM  11    CA   ASP  2          -2.09   -4.12   1.488                       C  \\nATOM  12    C    ASP  2          -1.29   -3.64   2.698                       C  \\nATOM  13    CB   ASP  2          -1.15   -4.58   0.378                       C  \\nATOM  14    O    ASP  2          -0.83   -2.51   2.558                       O  \\nATOM  15    N    PRO  3          -1.09    -4.0   3.468                       N  \\nATOM  16    CA   PRO  3         -0.359   -3.63   4.688                       C  \\nATOM  17    C    PRO  3          1.131   -3.42   4.428                       C  \\nATOM  18    CB   PRO  3         -0.579   -4.83   5.608                       C  \\nATOM  19    O    PRO  3          1.651   -2.44   4.968                       O  \\nATOM  20    N    GLU  4           1.93   -4.17   3.687                       N  \\nATOM  21    CA   GLU  4           3.34   -4.05   3.317                       C  \\nATOM  22    C    GLU  4           3.54   -2.97   2.257                       C  \\nATOM  23    CB   GLU  4           3.88   -5.39   2.817                       C  \\nATOM  24    O    GLU  4           4.65   -2.47   2.427                       O  \\nATOM  25    N    THR  5            2.9   -2.29   1.067                       N  \\nATOM  26    CA   THR  5           3.15   -1.45  -0.093                       C  \\nATOM  27    C    THR  5           2.01   -0.45  -0.302                       C  \\nATOM  28    CB   THR  5           3.33    -2.3  -1.363                       C  \\nATOM  29    O    THR  5            2.0    0.25  -1.312                       O  \\nATOM  30    N    GLY  6            1.1   -0.35   0.538                       N  \\nATOM  31    CA   GLY  6          -0.05    0.52   0.358                       C  \\nATOM  32    C    GLY  6           0.24    1.98   0.648                       C  \\nATOM  33    O    GLY  6          -0.66    2.75   0.968                       O  \\nATOM  34    N    THR  7           1.31    2.32   0.568                       N  \\nATOM  35    CA   THR  7           1.83    3.67   0.788                       C  \\nATOM  36    C    THR  7           1.87    4.45  -0.522                       C  \\nATOM  37    CB   THR  7           3.24    3.63   1.408                       C  \\nATOM  38    O    THR  7           1.72    3.94  -1.632                       O  \\nATOM  39    N    TRP  8           2.03     5.4  -0.392                       N  \\nATOM  40    CA   TRP  8           2.16    6.27  -1.552                       C  \\nATOM  41    C    TRP  8           3.42    5.94  -2.342                       C  \\nATOM  42    CB   TRP  8           2.19    7.74  -1.122                       C  \\nATOM  43    O    TRP  8           4.25    5.11  -1.973                       O  \\nATOM  44    N    GLY  9          3.519    6.47  -3.232                       N  \\nATOM  45    CA   GLY  9          4.589    6.31  -4.203                       C  \\nATOM  46    C    GLY  9          4.589    7.37  -5.292                       C  \\nATOM  47    O    GLY  9          3.759    8.28  -5.342                       O  \\nENDMDL\\nMODEL 1\\nATOM  1     N    GLY  0        -11.279  -7.207  -2.959                       N  \\nATOM  2     CA   GLY  0        -10.633  -5.969  -2.561                       C  \\nATOM  3     C    GLY  0         -9.234  -6.183  -1.995                       C  \\nATOM  4     O    GLY  0         -8.644  -7.134    -1.5                       O  \\nATOM  5     N    TYR  1         -8.883  -4.786  -2.297                       N  \\nATOM  6     CA   TYR  1         -7.488  -4.909  -1.871                       C  \\nATOM  7     C    TYR  1         -7.022   -3.65  -1.159                       C  \\nATOM  8     CB   TYR  1         -6.591  -5.196  -3.083                       C  \\nATOM  9     O    TYR  1         -7.669  -2.652  -0.826                       O  \\nATOM  10    N    ASP  2         -5.055   -4.06  -0.935                       N  \\nATOM  11    CA   ASP  2         -4.506  -2.852  -0.331                       C  \\nATOM  12    C    ASP  2         -2.993  -2.965  -0.141                       C  \\nATOM  13    CB   ASP  2         -5.177  -2.559   1.009                       C  \\nATOM  14    O    ASP  2          -2.37  -4.025  -0.095                       O  \\nATOM  15    N    PRO  3         -2.243  -1.347   0.002                       N  \\nATOM  16    CA   PRO  3         -0.781  -1.358   -0.04                       C  \\nATOM  17    C    PRO  3          -0.16  -1.645   1.331                       C  \\nATOM  18    CB   PRO  3         -0.433   0.059  -0.511                       C  \\nATOM  19    O    PRO  3         -0.281  -0.888   2.291                       O  \\nATOM  20    N    GLU  4          0.521  -2.776   1.388                       N  \\nATOM  21    CA   GLU  4          1.276  -3.273   2.531                       C  \\nATOM  22    C    GLU  4           2.46  -2.362   2.855                       C  \\nATOM  23    CB   GLU  4          1.774  -4.699   2.261                       C  \\nATOM  24    O    GLU  4          2.638  -1.961   3.994                       O  \\nATOM  25    N    THR  5          3.636  -1.862   1.436                       N  \\nATOM  26    CA   THR  5          4.694  -0.879   1.656                       C  \\nATOM  27    C    THR  5          4.131   0.386   2.314                       C  \\nATOM  28    CB   THR  5          5.394  -0.502    0.34                       C  \\nATOM  29    O    THR  5          3.636   1.317   1.671                       O  \\nATOM  30    N    GLY  6          4.231   0.377   3.798                       N  \\nATOM  31    CA   GLY  6           3.88   1.639   4.413                       C  \\nATOM  32    C    GLY  6          4.384   2.846   3.635                       C  \\nATOM  33    O    GLY  6          4.634   3.808   4.358                       O  \\nATOM  34    N    THR  7          4.682    3.16   2.035                       N  \\nATOM  35    CA   THR  7          5.246   4.216   1.209                       C  \\nATOM  36    C    THR  7          4.163   4.896   0.385                       C  \\nATOM  37    CB   THR  7          6.339   3.665   0.272                       C  \\nATOM  38    O    THR  7           3.07   4.505  -0.033                       O  \\nATOM  39    N    TRP  8          4.701   5.879   0.298                       N  \\nATOM  40    CA   TRP  8          3.944   6.656  -0.674                       C  \\nATOM  41    C    TRP  8           4.68   6.712   -2.01                       C  \\nATOM  42    CB   TRP  8          3.698   8.077  -0.155                       C  \\nATOM  43    O    TRP  8          5.905   6.804  -2.099                       O  \\nATOM  44    N    GLY  9           3.98   6.677  -2.934                       N  \\nATOM  45    CA   GLY  9          4.367   6.729  -4.332                       C  \\nATOM  46    C    GLY  9          4.188   8.105  -4.952                       C  \\nATOM  47    O    GLY  9          3.752   9.078  -4.331                       O  \\nENDMDL\\nMODEL 2\\nATOM  1     N    GLY  0         -7.768    -4.1  -5.049                       N  \\nATOM  2     CA   GLY  0         -8.244   -3.16  -4.062                       C  \\nATOM  3     C    GLY  0         -7.759  -3.468  -2.655                       C  \\nATOM  4     O    GLY  0         -7.937  -2.672  -1.739                       O  \\nATOM  5     N    TYR  1         -7.166  -4.589  -2.443                       N  \\nATOM  6     CA   TYR  1         -6.894  -5.103  -1.106                       C  \\nATOM  7     C    TYR  1         -5.527  -4.657  -0.612                       C  \\nATOM  8     CB   TYR  1         -6.988  -6.632  -1.087                       C  \\nATOM  9     O    TYR  1          -4.71  -5.477  -1.048                       O  \\nATOM  10    N    ASP  2         -4.569  -3.409   0.347                       N  \\nATOM  11    CA   ASP  2         -3.398   -2.72   0.853                       C  \\nATOM  12    C    ASP  2         -2.283    -3.7   1.196                       C  \\nATOM  13    CB   ASP  2         -3.756  -1.884   2.089                       C  \\nATOM  14    O    ASP  2         -2.265  -3.819   2.425                       O  \\nATOM  15    N    PRO  3         -1.334  -4.471   0.731                       N  \\nATOM  16    CA   PRO  3         -0.259  -5.458   0.764                       C  \\nATOM  17    C    PRO  3          0.632   -5.32   1.995                       C  \\nATOM  18    CB   PRO  3          0.525   -5.17  -0.514                       C  \\nATOM  19    O    PRO  3           1.43  -6.126    2.46                       O  \\nATOM  20    N    GLU  4          0.114  -3.198   2.781                       N  \\nATOM  21    CA   GLU  4          1.018   -2.97   3.903                       C  \\nATOM  22    C    GLU  4          2.308  -2.306   3.448                       C  \\nATOM  23    CB   GLU  4          1.328   -4.29   4.623                       C  \\nATOM  24    O    GLU  4          3.417  -2.367   3.978                       O  \\nATOM  25    N    THR  5          1.852  -1.388   1.955                       N  \\nATOM  26    CA   THR  5          2.954   -0.62   1.371                       C  \\nATOM  27    C    THR  5          2.727   0.882   1.552                       C  \\nATOM  28    CB   THR  5           3.13  -0.942  -0.122                       C  \\nATOM  29    O    THR  5          2.158   1.597   0.727                       O  \\nATOM  30    N    GLY  6          3.588   1.624   3.607                       N  \\nATOM  31    CA   GLY  6          3.319   2.995   4.007                       C  \\nATOM  32    C    GLY  6          4.125   4.019   3.215                       C  \\nATOM  33    O    GLY  6          4.371   5.102   3.733                       O  \\nATOM  34    N    THR  7          4.611   3.752   1.843                       N  \\nATOM  35    CA   THR  7          5.315   4.638    0.93                       C  \\nATOM  36    C    THR  7          4.345    5.28  -0.056                       C  \\nATOM  37    CB   THR  7          6.414   3.887   0.155                       C  \\nATOM  38    O    THR  7          3.277   4.779    -0.4                       O  \\nATOM  39    N    TRP  8          4.887   6.716  -0.605                       N  \\nATOM  40    CA   TRP  8          4.065   7.266  -1.671                       C  \\nATOM  41    C    TRP  8          4.001   6.306  -2.858                       C  \\nATOM  42    CB   TRP  8          4.616   8.622  -2.131                       C  \\nATOM  43    O    TRP  8          5.032   5.702  -3.142                       O  \\nATOM  44    N    GLY  9          2.556   5.985  -3.891                       N  \\nATOM  45    CA   GLY  9          2.124    5.13  -4.988                       C  \\nATOM  46    C    GLY  9          1.563   3.805  -4.528                       C  \\nATOM  47    O    GLY  9          1.478   3.477   -3.34                       O  \\nENDMDL\\nMODEL 3\\nATOM  1     N    GLY  0         -6.466  -0.563   0.183                       N  \\nATOM  2     CA   GLY  0         -5.605  -1.621  -0.342                       C  \\nATOM  3     C    GLY  0         -5.799  -2.952   0.367                       C  \\nATOM  4     O    GLY  0         -6.128  -3.071   1.541                       O  \\nATOM  5     N    TYR  1         -5.535  -4.152  -0.618                       N  \\nATOM  6     CA   TYR  1         -5.826  -5.439     0.0                       C  \\nATOM  7     C    TYR  1         -4.549  -6.233   0.253                       C  \\nATOM  8     CB   TYR  1         -6.775   -6.26  -0.889                       C  \\nATOM  9     O    TYR  1         -4.673  -7.422   0.523                       O  \\nATOM  10    N    ASP  2         -2.982  -5.612   0.198                       N  \\nATOM  11    CA   ASP  2          -1.69  -6.275   0.332                       C  \\nATOM  12    C    ASP  2         -0.955  -5.812   1.585                       C  \\nATOM  13    CB   ASP  2         -0.826  -6.018  -0.905                       C  \\nATOM  14    O    ASP  2         -1.711  -5.218   2.359                       O  \\nATOM  15    N    PRO  3          0.198  -5.864   2.041                       N  \\nATOM  16    CA   PRO  3          0.813  -5.748    3.37                       C  \\nATOM  17    C    PRO  3          0.903  -4.304   3.851                       C  \\nATOM  18    CB   PRO  3          2.201  -6.352   3.165                       C  \\nATOM  19    O    PRO  3          0.887  -3.901   5.013                       O  \\nATOM  20    N    GLU  4          0.993  -3.638   2.816                       N  \\nATOM  21    CA   GLU  4          0.824  -2.236   3.173                       C  \\nATOM  22    C    GLU  4         -0.351  -1.621   2.421                       C  \\nATOM  23    CB   GLU  4          2.098  -1.446   2.886                       C  \\nATOM  24    O    GLU  4         -0.757  -2.054   1.342                       O  \\nATOM  25    N    THR  5         -0.884  -0.622    2.99                       N  \\nATOM  26    CA   THR  5         -1.915   0.218   2.391                       C  \\nATOM  27    C    THR  5         -1.297    1.19   1.396                       C  \\nATOM  28    CB   THR  5         -2.691   0.991   3.466                       C  \\nATOM  29    O    THR  5         -1.004   2.321   1.777                       O  \\nATOM  30    N    GLY  6         -1.078   0.883   0.167                       N  \\nATOM  31    CA   GLY  6         -1.007   1.968  -0.805                       C  \\nATOM  32    C    GLY  6          0.366   2.108  -1.445                       C  \\nATOM  33    O    GLY  6          1.096   1.162  -1.731                       O  \\nATOM  34    N    THR  7          0.874   4.229  -1.785                       N  \\nATOM  35    CA   THR  7          1.992   4.437  -2.698                       C  \\nATOM  36    C    THR  7          2.855   5.603  -2.238                       C  \\nATOM  37    CB   THR  7          1.508   4.689  -4.133                       C  \\nATOM  38    O    THR  7          2.338   6.684  -1.948                       O  \\nATOM  39    N    TRP  8          4.071   5.452  -2.152                       N  \\nATOM  40    CA   TRP  8          4.824    6.61  -1.674                       C  \\nATOM  41    C    TRP  8            6.1   6.804  -2.476                       C  \\nATOM  42    CB   TRP  8          5.159   6.451  -0.181                       C  \\nATOM  43    O    TRP  8          6.797   5.797  -2.583                       O  \\nATOM  44    N    GLY  9          6.477   7.628  -2.945                       N  \\nATOM  45    CA   GLY  9           7.59   8.085  -3.747                       C  \\nATOM  46    C    GLY  9          8.945   7.817   -3.11                       C  \\nATOM  47    O    GLY  9          9.077   7.266  -2.011                       O  \\nENDMDL\\nMODEL 4\\nATOM  1     N    GLY  0         -9.974  -7.173  -2.775                       N  \\nATOM  2     CA   GLY  0         -8.742  -6.745  -2.132                       C  \\nATOM  3     C    GLY  0         -8.843  -6.696  -0.616                       C  \\nATOM  4     O    GLY  0         -9.736  -6.273   0.105                       O  \\nATOM  5     N    TYR  1         -7.952  -7.116  -0.394                       N  \\nATOM  6     CA   TYR  1         -7.954  -7.175   1.058                       C  \\nATOM  7     C    TYR  1         -6.591  -6.774   1.614                       C  \\nATOM  8     CB   TYR  1         -8.325  -8.578   1.541                       C  \\nATOM  9     O    TYR  1         -6.047   -7.28   2.598                       O  \\nATOM  10    N    ASP  2         -6.055  -5.749   0.843                       N  \\nATOM  11    CA   ASP  2         -4.692  -5.365   1.213                       C  \\nATOM  12    C    ASP  2         -4.393  -3.928   0.803                       C  \\nATOM  13    CB   ASP  2         -3.681  -6.322   0.584                       C  \\nATOM  14    O    ASP  2          -4.73  -3.386  -0.238                       O  \\nATOM  15    N    PRO  3          -3.64  -3.328   1.891                       N  \\nATOM  16    CA   PRO  3         -3.348  -1.936   1.526                       C  \\nATOM  17    C    PRO  3         -2.107  -1.814   0.649                       C  \\nATOM  18    CB   PRO  3         -3.129  -1.258   2.879                       C  \\nATOM  19    O    PRO  3         -1.287  -2.705   0.472                       O  \\nATOM  20    N    GLU  4         -2.034  -0.608   0.089                       N  \\nATOM  21    CA   GLU  4         -0.748  -0.298  -0.535                       C  \\nATOM  22    C    GLU  4           0.41  -0.543   0.433                       C  \\nATOM  23    CB   GLU  4         -0.727   1.153  -1.017                       C  \\nATOM  24    O    GLU  4          0.316  -0.539   1.659                       O  \\nATOM  25    N    THR  5          1.537  -0.763  -0.244                       N  \\nATOM  26    CA   THR  5          2.735   -0.88   0.575                       C  \\nATOM  27    C    THR  5          3.213   0.489    1.04                       C  \\nATOM  28    CB   THR  5          3.862  -1.592  -0.197                       C  \\nATOM  29    O    THR  5          3.253   1.503   0.336                       O  \\nATOM  30    N    GLY  6          3.615   0.418   2.409                       N  \\nATOM  31    CA   GLY  6          3.807   1.644   3.178                       C  \\nATOM  32    C    GLY  6          4.807   2.585   2.552                       C  \\nATOM  33    O    GLY  6          5.012   3.664   3.118                       O  \\nATOM  34    N    THR  7          5.627   2.278   1.175                       N  \\nATOM  35    CA   THR  7          6.425   3.183   0.362                       C  \\nATOM  36    C    THR  7          5.723   4.541   0.223                       C  \\nATOM  37    CB   THR  7          6.687   2.607  -1.046                       C  \\nATOM  38    O    THR  7          4.798   4.884   0.957                       O  \\nATOM  39    N    TRP  8          6.482   5.756  -1.285                       N  \\nATOM  40    CA   TRP  8          6.066   7.149  -1.104                       C  \\nATOM  41    C    TRP  8          6.667   8.046  -2.171                       C  \\nATOM  42    CB   TRP  8          6.464    7.65    0.29                       C  \\nATOM  43    O    TRP  8          7.882   7.876  -2.314                       O  \\nATOM  44    N    GLY  9          5.999   9.323  -3.297                       N  \\nATOM  45    CA   GLY  9           6.45  10.423  -4.141                       C  \\nATOM  46    C    GLY  9           6.04  11.781    -3.6                       C  \\nATOM  47    O    GLY  9            5.4  11.939  -2.564                       O  \\nENDMDL\\nMODEL 5\\nATOM  1     N    GLY  0         -5.716  -0.136  -3.845                       N  \\nATOM  2     CA   GLY  0         -6.591  -1.155  -3.292                       C  \\nATOM  3     C    GLY  0         -6.163  -1.636  -1.923                       C  \\nATOM  4     O    GLY  0         -5.733  -0.893  -1.041                       O  \\nATOM  5     N    TYR  1         -6.272  -2.748  -1.797                       N  \\nATOM  6     CA   TYR  1         -5.971  -3.399  -0.522                       C  \\nATOM  7     C    TYR  1         -4.664  -4.183  -0.618                       C  \\nATOM  8     CB   TYR  1         -7.111  -4.337  -0.118                       C  \\nATOM  9     O    TYR  1         -4.539  -5.216  -1.274                       O  \\nATOM  10    N    ASP  2          -3.62  -3.585   0.141                       N  \\nATOM  11    CA   ASP  2         -2.377  -4.283   0.475                       C  \\nATOM  12    C    ASP  2         -1.914  -3.935   1.884                       C  \\nATOM  13    CB   ASP  2         -1.285  -3.929  -0.548                       C  \\nATOM  14    O    ASP  2         -2.112   -2.81   2.338                       O  \\nATOM  15    N    PRO  3         -1.177   -5.02   2.747                       N  \\nATOM  16    CA   PRO  3         -0.883  -4.892   4.179                       C  \\nATOM  17    C    PRO  3          0.507  -4.329   4.449                       C  \\nATOM  18    CB   PRO  3         -0.994  -6.327   4.692                       C  \\nATOM  19    O    PRO  3          1.052  -4.147   5.538                       O  \\nATOM  20    N    GLU  4           0.94  -4.097   3.394                       N  \\nATOM  21    CA   GLU  4          2.389  -3.892   3.422                       C  \\nATOM  22    C    GLU  4          2.781  -2.662   2.606                       C  \\nATOM  23    CB   GLU  4          3.111  -5.124   2.893                       C  \\nATOM  24    O    GLU  4          3.338  -1.766   3.233                       O  \\nATOM  25    N    THR  5          2.611  -2.421   1.312                       N  \\nATOM  26    CA   THR  5          2.974  -1.282   0.484                       C  \\nATOM  27    C    THR  5          2.547    0.03   1.153                       C  \\nATOM  28    CB   THR  5          2.318  -1.371  -0.908                       C  \\nATOM  29    O    THR  5          1.362   0.345   1.249                       O  \\nATOM  30    N    GLY  6          3.363    0.68   1.536                       N  \\nATOM  31    CA   GLY  6          3.019   2.077   1.788                       C  \\nATOM  32    C    GLY  6          2.213   2.694   0.668                       C  \\nATOM  33    O    GLY  6          2.291   2.275  -0.494                       O  \\nATOM  34    N    THR  7          1.306   3.827    1.03                       N  \\nATOM  35    CA   THR  7          0.292   4.411   0.152                       C  \\nATOM  36    C    THR  7          0.929   5.403  -0.818                       C  \\nATOM  37    CB   THR  7         -0.808   5.119   0.974                       C  \\nATOM  38    O    THR  7           0.16   6.016  -1.558                       O  \\nATOM  39    N    TRP  8          2.203   5.669  -0.935                       N  \\nATOM  40    CA   TRP  8          3.019   6.698   -1.57                       C  \\nATOM  41    C    TRP  8          3.917   6.102  -2.647                       C  \\nATOM  42    CB   TRP  8          3.874   7.432  -0.525                       C  \\nATOM  43    O    TRP  8           5.01   5.594  -2.377                       O  \\nATOM  44    N    GLY  9          3.456   6.152  -3.902                       N  \\nATOM  45    CA   GLY  9          4.127   5.716  -5.116                       C  \\nATOM  46    C    GLY  9          4.935   6.816   -5.78                       C  \\nATOM  47    O    GLY  9          5.016   7.962  -5.336                       O  \\nENDMDL\\nMODEL 6\\nATOM  1     N    GLY  0        -10.096  -2.785  -3.173                       N  \\nATOM  2     CA   GLY  0         -8.814  -3.451   -3.31                       C  \\nATOM  3     C    GLY  0         -7.998  -3.437  -2.034                       C  \\nATOM  4     O    GLY  0         -8.274  -3.123  -0.872                       O  \\nATOM  5     N    TYR  1         -7.011  -3.833  -2.519                       N  \\nATOM  6     CA   TYR  1         -6.116  -3.861  -1.373                       C  \\nATOM  7     C    TYR  1         -4.679  -3.559  -1.789                       C  \\nATOM  8     CB   TYR  1         -6.171  -5.232  -0.677                       C  \\nATOM  9     O    TYR  1         -4.129  -3.741  -2.872                       O  \\nATOM  10    N    ASP  2         -4.127  -2.968  -0.519                       N  \\nATOM  11    CA   ASP  2         -2.737  -2.575  -0.784                       C  \\nATOM  12    C    ASP  2         -1.758  -3.495  -0.051                       C  \\nATOM  13    CB   ASP  2         -2.505  -1.122  -0.371                       C  \\nATOM  14    O    ASP  2         -1.985  -3.912   1.078                       O  \\nATOM  15    N    PRO  3         -0.561  -3.846  -0.778                       N  \\nATOM  16    CA   PRO  3          0.393  -4.884  -0.365                       C  \\nATOM  17    C    PRO  3          1.362  -4.393   0.712                       C  \\nATOM  18    CB   PRO  3          1.138  -5.221  -1.659                       C  \\nATOM  19    O    PRO  3          2.407  -4.973   0.986                       O  \\nATOM  20    N    GLU  4          0.973  -3.324   1.297                       N  \\nATOM  21    CA   GLU  4           1.94  -2.894   2.305                       C  \\nATOM  22    C    GLU  4          1.903  -1.383   2.499                       C  \\nATOM  23    CB   GLU  4          3.357  -3.332   1.907                       C  \\nATOM  24    O    GLU  4          1.823  -0.517   1.622                       O  \\nATOM  25    N    THR  5          1.965  -1.178    3.89                       N  \\nATOM  26    CA   THR  5          2.015    0.25   4.214                       C  \\nATOM  27    C    THR  5          3.281   0.887    3.66                       C  \\nATOM  28    CB   THR  5          1.938   0.477   5.735                       C  \\nATOM  29    O    THR  5          4.326   0.389   3.244                       O  \\nATOM  30    N    GLY  6          2.844   2.419   3.797                       N  \\nATOM  31    CA   GLY  6          3.839   3.403   3.406                       C  \\nATOM  32    C    GLY  6          3.257   4.542   2.582                       C  \\nATOM  33    O    GLY  6          2.152   4.474   2.057                       O  \\nATOM  34    N    THR  7          4.037   5.631   2.472                       N  \\nATOM  35    CA   THR  7          3.623   6.746   1.627                       C  \\nATOM  36    C    THR  7          3.525   6.313   0.166                       C  \\nATOM  37    CB   THR  7          4.617   7.928   1.747                       C  \\nATOM  38    O    THR  7          2.932   7.052  -0.619                       O  \\nATOM  39    N    TRP  8          4.032    5.18  -0.299                       N  \\nATOM  40    CA   TRP  8          3.976   4.825   -1.72                       C  \\nATOM  41    C    TRP  8          3.189   3.537  -1.921                       C  \\nATOM  42    CB   TRP  8           5.38   4.688  -2.297                       C  \\nATOM  43    O    TRP  8          3.057   2.608  -1.113                       O  \\nATOM  44    N    GLY  9          2.554   3.629  -3.498                       N  \\nATOM  45    CA   GLY  9          1.879   2.439  -3.999                       C  \\nATOM  46    C    GLY  9          2.518   1.875  -5.253                       C  \\nATOM  47    O    GLY  9           3.51   2.369  -5.786                       O  \\nENDMDL\\nMODEL 7\\nATOM  1     N    GLY  0          -7.48  -7.534  -1.902                       N  \\nATOM  2     CA   GLY  0         -7.682  -8.278  -0.665                       C  \\nATOM  3     C    GLY  0         -8.578  -7.557   0.325                       C  \\nATOM  4     O    GLY  0         -9.139  -6.465   0.433                       O  \\nATOM  5     N    TYR  1         -8.528  -8.041   0.626                       N  \\nATOM  6     CA   TYR  1         -9.179  -7.349   1.735                       C  \\nATOM  7     C    TYR  1         -8.263   -6.28   2.324                       C  \\nATOM  8     CB   TYR  1         -9.582  -8.348   2.825                       C  \\nATOM  9     O    TYR  1          -8.77  -5.164   2.451                       O  \\nATOM  10    N    ASP  2         -6.866  -6.382   2.744                       N  \\nATOM  11    CA   ASP  2         -5.948  -5.334   3.191                       C  \\nATOM  12    C    ASP  2         -4.942  -4.994   2.098                       C  \\nATOM  13    CB   ASP  2         -5.208  -5.785   4.458                       C  \\nATOM  14    O    ASP  2         -4.192  -5.936   1.872                       O  \\nATOM  15    N    PRO  3         -4.617   -3.86   1.241                       N  \\nATOM  16    CA   PRO  3          -3.65   -3.44   0.225                       C  \\nATOM  17    C    PRO  3         -2.341  -2.931   0.835                       C  \\nATOM  18    CB   PRO  3         -4.377  -2.316  -0.512                       C  \\nATOM  19    O    PRO  3         -2.248  -1.844   1.397                       O  \\nATOM  20    N    GLU  4         -1.708  -3.447   0.749                       N  \\nATOM  21    CA   GLU  4         -0.406  -2.938   1.189                       C  \\nATOM  22    C    GLU  4          0.294  -2.185   0.063                       C  \\nATOM  23    CB   GLU  4          0.477  -4.093   1.676                       C  \\nATOM  24    O    GLU  4          0.289  -2.685   -1.06                       O  \\nATOM  25    N    THR  5          1.019  -0.803   0.237                       N  \\nATOM  26    CA   THR  5          1.619   0.101  -0.736                       C  \\nATOM  27    C    THR  5          2.834   0.801  -0.151                       C  \\nATOM  28    CB   THR  5          0.605   1.148  -1.235                       C  \\nATOM  29    O    THR  5          2.902   0.948   1.068                       O  \\nATOM  30    N    GLY  6          3.716   1.219  -0.813                       N  \\nATOM  31    CA   GLY  6          4.958   1.867  -0.422                       C  \\nATOM  32    C    GLY  6          4.773   3.322  -0.048                       C  \\nATOM  33    O    GLY  6           3.67   3.703    0.35                       O  \\nATOM  34    N    THR  7          5.862   4.302  -0.133                       N  \\nATOM  35    CA   THR  7          5.927   5.678   0.348                       C  \\nATOM  36    C    THR  7          5.781   6.652  -0.822                       C  \\nATOM  37    CB   THR  7          7.241   5.947   1.093                       C  \\nATOM  38    O    THR  7          5.325   6.383  -1.923                       O  \\nATOM  39    N    TRP  8          6.157   7.655  -0.506                       N  \\nATOM  40    CA   TRP  8          6.027   8.794  -1.416                       C  \\nATOM  41    C    TRP  8          7.377   9.485  -1.609                       C  \\nATOM  42    CB   TRP  8          5.005   9.794  -0.875                       C  \\nATOM  43    O    TRP  8          8.343   9.565   -0.85                       O  \\nATOM  44    N    GLY  9          7.183  10.089  -3.099                       N  \\nATOM  45    CA   GLY  9          8.335  10.898  -3.448                       C  \\nATOM  46    C    GLY  9          9.472  10.093  -4.062                       C  \\nATOM  47    O    GLY  9          9.414   8.872  -4.252                       O  \\nENDMDL\\nMODEL 8\\nATOM  1     N    GLY  0         -5.954  -1.941  -4.103                       N  \\nATOM  2     CA   GLY  0         -6.791  -1.754  -2.939                       C  \\nATOM  3     C    GLY  0         -7.013  -3.024  -2.145                       C  \\nATOM  4     O    GLY  0         -8.128  -3.529  -2.265                       O  \\nATOM  5     N    TYR  1         -5.931   -3.89  -1.109                       N  \\nATOM  6     CA   TYR  1         -5.901  -5.322  -0.813                       C  \\nATOM  7     C    TYR  1         -5.696  -5.569   0.678                       C  \\nATOM  8     CB   TYR  1         -4.804  -6.013  -1.626                       C  \\nATOM  9     O    TYR  1         -5.961  -4.678   1.479                       O  \\nATOM  10    N    ASP  2         -5.331  -6.505   1.038                       N  \\nATOM  11    CA   ASP  2         -4.924  -6.734   2.421                       C  \\nATOM  12    C    ASP  2         -3.716   -5.86   2.793                       C  \\nATOM  13    CB   ASP  2         -4.584  -8.209   2.649                       C  \\nATOM  14    O    ASP  2         -2.985  -5.566    1.85                       O  \\nATOM  15    N    PRO  3         -3.449  -5.506   3.666                       N  \\nATOM  16    CA   PRO  3         -2.499  -4.469   4.087                       C  \\nATOM  17    C    PRO  3         -1.069  -4.756   3.637                       C  \\nATOM  18    CB   PRO  3         -2.611  -4.493   5.616                       C  \\nATOM  19    O    PRO  3         -0.505  -5.724   4.139                       O  \\nATOM  20    N    GLU  4          -0.26  -3.892   2.576                       N  \\nATOM  21    CA   GLU  4          1.034  -4.026   1.926                       C  \\nATOM  22    C    GLU  4          1.839  -2.737   2.026                       C  \\nATOM  23    CB   GLU  4          0.851  -4.419   0.453                       C  \\nATOM  24    O    GLU  4          1.424  -1.581   1.986                       O  \\nATOM  25    N    THR  5          3.272  -3.205   2.206                       N  \\nATOM  26    CA   THR  5          4.255  -2.137   2.297                       C  \\nATOM  27    C    THR  5          3.886   -0.98   1.378                       C  \\nATOM  28    CB   THR  5          5.661  -2.644   1.947                       C  \\nATOM  29    O    THR  5           3.61  -1.413   0.264                       O  \\nATOM  30    N    GLY  6           3.71   0.953   1.392                       N  \\nATOM  31    CA   GLY  6            3.2   2.151   0.742                       C  \\nATOM  32    C    GLY  6          4.194   3.299   0.753                       C  \\nATOM  33    O    GLY  6          4.978   3.396    1.69                       O  \\nATOM  34    N    THR  7          4.242   4.161  -0.164                       N  \\nATOM  35    CA   THR  7          4.958   5.432  -0.154                       C  \\nATOM  36    C    THR  7          4.187   6.484  -0.947                       C  \\nATOM  37    CB   THR  7          6.371   5.277  -0.734                       C  \\nATOM  38    O    THR  7          3.205   5.948  -1.447                       O  \\nATOM  39    N    TRP  8           4.19   7.365  -1.185                       N  \\nATOM  40    CA   TRP  8          3.569   8.445  -1.946                       C  \\nATOM  41    C    TRP  8          3.748   8.218  -3.446                       C  \\nATOM  42    CB   TRP  8          4.163   9.797  -1.547                       C  \\nATOM  43    O    TRP  8          4.898   7.975  -3.807                       O  \\nATOM  44    N    GLY  9          3.054   8.249  -4.171                       N  \\nATOM  45    CA   GLY  9          3.098   8.413   -5.62                       C  \\nATOM  46    C    GLY  9          3.698   9.747  -6.051                       C  \\nATOM  47    O    GLY  9          4.102  10.589  -5.256                       O  \\nENDMDL\\nMODEL 9\\nATOM  1     N    GLY  0        -11.522  -8.949   0.229                       N  \\nATOM  2     CA   GLY  0        -10.706  -7.762    0.44                       C  \\nATOM  3     C    GLY  0         -9.487  -7.704  -0.468                       C  \\nATOM  4     O    GLY  0         -9.037  -8.703  -1.033                       O  \\nATOM  5     N    TYR  1         -8.994  -6.591  -0.594                       N  \\nATOM  6     CA   TYR  1         -7.671  -6.461  -1.188                       C  \\nATOM  7     C    TYR  1         -6.594  -6.428  -0.117                       C  \\nATOM  8     CB   TYR  1         -7.595   -5.19   -2.04                       C  \\nATOM  9     O    TYR  1         -6.828  -5.836   0.938                       O  \\nATOM  10    N    ASP  2         -5.158  -7.131  -0.279                       N  \\nATOM  11    CA   ASP  2         -3.995  -7.242   0.609                       C  \\nATOM  12    C    ASP  2         -3.477   -5.87   1.006                       C  \\nATOM  13    CB   ASP  2         -2.884   -8.05   -0.07                       C  \\nATOM  14    O    ASP  2         -3.769  -4.898   0.315                       O  \\nATOM  15    N    PRO  3         -2.657  -5.662   2.189                       N  \\nATOM  16    CA   PRO  3         -2.446  -4.379   2.844                       C  \\nATOM  17    C    PRO  3         -1.808  -3.341   1.924                       C  \\nATOM  18    CB   PRO  3         -1.503  -4.723     4.0                       C  \\nATOM  19    O    PRO  3         -0.851  -3.748   1.255                       O  \\nATOM  20    N    GLU  4         -2.201  -1.818   1.703                       N  \\nATOM  21    CA   GLU  4         -1.491  -0.648   1.175                       C  \\nATOM  22    C    GLU  4         -0.045  -0.617   1.641                       C  \\nATOM  23    CB   GLU  4         -2.206   0.639   1.604                       C  \\nATOM  24    O    GLU  4           0.26  -0.749   2.826                       O  \\nATOM  25    N    THR  5           0.96   -0.43   0.635                       N  \\nATOM  26    CA   THR  5          2.408  -0.269   0.729                       C  \\nATOM  27    C    THR  5          2.821   1.138   0.321                       C  \\nATOM  28    CB   THR  5           3.14  -1.306  -0.155                       C  \\nATOM  29    O    THR  5          3.006    1.41  -0.864                       O  \\nATOM  30    N    GLY  6           3.02   2.286    1.48                       N  \\nATOM  31    CA   GLY  6          3.325   3.709    1.44                       C  \\nATOM  32    C    GLY  6          4.334    4.08   0.371                       C  \\nATOM  33    O    GLY  6          5.495   4.372    0.63                       O  \\nATOM  34    N    THR  7           3.88   4.074   -0.85                       N  \\nATOM  35    CA   THR  7          4.778   4.542  -1.907                       C  \\nATOM  36    C    THR  7          5.417   5.868  -1.516                       C  \\nATOM  37    CB   THR  7          4.032   4.696  -3.244                       C  \\nATOM  38    O    THR  7          4.629   6.776  -1.258                       O  \\nATOM  39    N    TRP  8          7.524   6.379  -1.371                       N  \\nATOM  40    CA   TRP  8          8.314   7.597  -1.249                       C  \\nATOM  41    C    TRP  8          7.744     8.7  -2.141                       C  \\nATOM  42    CB   TRP  8          9.775   7.333  -1.622                       C  \\nATOM  43    O    TRP  8          7.414   8.193  -3.203                       O  \\nATOM  44    N    GLY  9          7.542    9.64  -2.193                       N  \\nATOM  45    CA   GLY  9          7.482  10.913  -2.893                       C  \\nATOM  46    C    GLY  9          8.822  11.324  -3.487                       C  \\nATOM  47    O    GLY  9          9.842  10.648   -3.38                       O  \\nENDMDL\\n\");\n\tviewer_17407906760692415.setStyle({\"model\": -1, \"serial\": 1},{\"cartoon\": {\"color\": \"spectrum\"}});\n\tviewer_17407906760692415.setStyle({\"model\": -1, \"serial\": 2},{\"cartoon\": {\"color\": \"spectrum\"}});\n\tviewer_17407906760692415.setStyle({\"model\": -1, \"serial\": 3},{\"cartoon\": {\"color\": \"spectrum\"}});\n\tviewer_17407906760692415.setStyle({\"model\": -1, \"serial\": 4},{\"cartoon\": {\"color\": 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 4           4.65   -2.47   2.427                       O  \\nATOM  25    N    THR  5            2.9   -2.29   1.067                       N  \\nATOM  26    CA   THR  5           3.15   -1.45  -0.093                       C  \\nATOM  27    C    THR  5           2.01   -0.45  -0.302                       C  \\nATOM  28    CB   THR  5           3.33    -2.3  -1.363                       C  \\nATOM  29    O    THR  5            2.0    0.25  -1.312                       O  \\nATOM  30    N    GLY  6            1.1   -0.35   0.538                       N  \\nATOM  31    CA   GLY  6          -0.05    0.52   0.358                       C  \\nATOM  32    C    GLY  6           0.24    1.98   0.648                       C  \\nATOM  33    O    GLY  6          -0.66    2.75   0.968                       O  \\nATOM  34    N    THR  7           1.31    2.32   0.568                       N  \\nATOM  35    CA   THR  7           1.83    3.67   0.788                       C  \\nATOM  36    C    THR  7           1.87    4.45  -0.522                       C  \\nATOM  37    CB   THR  7           3.24    3.63   1.408                       C  \\nATOM  38    O    THR  7           1.72    3.94  -1.632                       O  \\nATOM  39    N    TRP  8           2.03     5.4  -0.392                       N  \\nATOM  40    CA   TRP  8           2.16    6.27  -1.552                       C  \\nATOM  41    C    TRP  8           3.42    5.94  -2.342                       C  \\nATOM  42    CB   TRP  8           2.19    7.74  -1.122                       C  \\nATOM  43    O    TRP  8           4.25    5.11  -1.973                       O  \\nATOM  44    N    GLY  9          3.519    6.47  -3.232                       N  \\nATOM  45    CA   GLY  9          4.589    6.31  -4.203                       C  \\nATOM  46    C    GLY  9          4.589    7.37  -5.292                       C  \\nATOM  47    O    GLY  9          3.759    8.28  -5.342                       O  \\nENDMDL\\nMODEL 1\\nATOM  1     N    GLY  0        -11.279  -7.207  -2.959                       N  \\nATOM  2     CA   GLY  0        -10.633  -5.969  -2.561                       C  \\nATOM  3     C    GLY  0         -9.234  -6.183  -1.995                       C  \\nATOM  4     O    GLY  0         -8.644  -7.134    -1.5                       O  \\nATOM  5     N    TYR  1         -8.883  -4.786  -2.297                       N  \\nATOM  6     CA   TYR  1         -7.488  -4.909  -1.871                       C  \\nATOM  7     C    TYR  1         -7.022   -3.65  -1.159                       C  \\nATOM  8     CB   TYR  1         -6.591  -5.196  -3.083                       C  \\nATOM  9     O    TYR  1         -7.669  -2.652  -0.826                       O  \\nATOM  10    N    ASP  2         -5.055   -4.06  -0.935                       N  \\nATOM  11    CA   ASP  2         -4.506  -2.852  -0.331                       C  \\nATOM  12    C    ASP  2         -2.993  -2.965  -0.141                       C  \\nATOM  13    CB   ASP  2         -5.177  -2.559   1.009                       C  \\nATOM  14    O    ASP  2          -2.37  -4.025  -0.095                       O  \\nATOM  15    N    PRO  3         -2.243  -1.347   0.002                       N  \\nATOM  16    CA   PRO  3         -0.781  -1.358   -0.04                       C  \\nATOM  17    C    PRO  3          -0.16  -1.645   1.331                       C  \\nATOM  18    CB   PRO  3         -0.433   0.059  -0.511                       C  \\nATOM  19    O    PRO  3         -0.281  -0.888   2.291                       O  \\nATOM  20    N    GLU  4          0.521  -2.776   1.388                       N  \\nATOM  21    CA   GLU  4          1.276  -3.273   2.531                       C  \\nATOM  22    C    GLU  4           2.46  -2.362   2.855                       C  \\nATOM  23    CB   GLU  4          1.774  -4.699   2.261                       C  \\nATOM  24    O    GLU  4          2.638  -1.961   3.994                       O  \\nATOM  25    N    THR  5          3.636  -1.862   1.436                       N  \\nATOM  26    CA   THR  5          4.694  -0.879   1.656                       C  \\nATOM  27    C    THR  5          4.131   0.386   2.314                       C  \\nATOM  28    CB   THR  5          5.394  -0.502    0.34                       C  \\nATOM  29    O    THR  5          3.636   1.317   1.671                       O  \\nATOM  30    N    GLY  6          4.231   0.377   3.798                       N  \\nATOM  31    CA   GLY  6           3.88   1.639   4.413                       C  \\nATOM  32    C    GLY  6          4.384   2.846   3.635                       C  \\nATOM  33    O    GLY  6          4.634   3.808   4.358                       O  \\nATOM  34    N    THR  7          4.682    3.16   2.035                       N  \\nATOM  35    CA   THR  7          5.246   4.216   1.209                       C  \\nATOM  36    C    THR  7          4.163   4.896   0.385                       C  \\nATOM  37    CB   THR  7          6.339   3.665   0.272                       C  \\nATOM  38    O    THR  7           3.07   4.505  -0.033                       O  \\nATOM  39    N    TRP  8          4.701   5.879   0.298                       N  \\nATOM  40    CA   TRP  8          3.944   6.656  -0.674                       C  \\nATOM  41    C    TRP  8           4.68   6.712   -2.01                       C  \\nATOM  42    CB   TRP  8          3.698   8.077  -0.155                       C  \\nATOM  43    O    TRP  8          5.905   6.804  -2.099                       O  \\nATOM  44    N    GLY  9           3.98   6.677  -2.934                       N  \\nATOM  45    CA   GLY  9          4.367   6.729  -4.332                       C  \\nATOM  46    C    GLY  9          4.188   8.105  -4.952                       C  \\nATOM  47    O    GLY  9          3.752   9.078  -4.331                       O  \\nENDMDL\\nMODEL 2\\nATOM  1     N    GLY  0         -7.768    -4.1  -5.049                       N  \\nATOM  2     CA   GLY  0         -8.244   -3.16  -4.062                       C  \\nATOM  3     C    GLY  0         -7.759  -3.468  -2.655                       C  \\nATOM  4     O    GLY  0         -7.937  -2.672  -1.739                       O  \\nATOM  5     N    TYR  1         -7.166  -4.589  -2.443                       N  \\nATOM  6     CA   TYR  1         -6.894  -5.103  -1.106                       C  \\nATOM  7     C    TYR  1         -5.527  -4.657  -0.612                       C  \\nATOM  8     CB   TYR  1         -6.988  -6.632  -1.087                       C  \\nATOM  9     O    TYR  1          -4.71  -5.477  -1.048                       O  \\nATOM  10    N    ASP  2         -4.569  -3.409   0.347                       N  \\nATOM  11    CA   ASP  2         -3.398   -2.72   0.853                       C  \\nATOM  12    C    ASP  2         -2.283    -3.7   1.196                       C  \\nATOM  13    CB   ASP  2         -3.756  -1.884   2.089                       C  \\nATOM  14    O    ASP  2         -2.265  -3.819   2.425                       O  \\nATOM  15    N    PRO  3         -1.334  -4.471   0.731                       N  \\nATOM  16    CA   PRO  3         -0.259  -5.458   0.764                       C  \\nATOM  17    C    PRO  3          0.632   -5.32   1.995                       C  \\nATOM  18    CB   PRO  3          0.525   -5.17  -0.514                       C  \\nATOM  19    O    PRO  3           1.43  -6.126    2.46                       O  \\nATOM  20    N    GLU  4          0.114  -3.198   2.781                       N  \\nATOM  21    CA   GLU  4          1.018   -2.97   3.903                       C  \\nATOM  22    C    GLU  4          2.308  -2.306   3.448                       C  \\nATOM  23    CB   GLU  4          1.328   -4.29   4.623                       C  \\nATOM  24    O    GLU  4          3.417  -2.367   3.978                       O  \\nATOM  25    N    THR  5          1.852  -1.388   1.955                       N  \\nATOM  26    CA   THR  5          2.954   -0.62   1.371                       C  \\nATOM  27    C    THR  5          2.727   0.882   1.552                       C  \\nATOM  28    CB   THR  5           3.13  -0.942  -0.122                       C  \\nATOM  29    O    THR  5          2.158   1.597   0.727                       O  \\nATOM  30    N    GLY  6          3.588   1.624   3.607                       N  \\nATOM  31    CA   GLY  6          3.319   2.995   4.007                       C  \\nATOM  32    C    GLY  6          4.125   4.019   3.215                       C  \\nATOM  33    O    GLY  6          4.371   5.102   3.733                       O  \\nATOM  34    N    THR  7          4.611   3.752   1.843                       N  \\nATOM  35    CA   THR  7          5.315   4.638    0.93                       C  \\nATOM  36    C    THR  7          4.345    5.28  -0.056                       C  \\nATOM  37    CB   THR  7          6.414   3.887   0.155                       C  \\nATOM  38    O    THR  7          3.277   4.779    -0.4                       O  \\nATOM  39    N    TRP  8          4.887   6.716  -0.605                       N  \\nATOM  40    CA   TRP  8          4.065   7.266  -1.671                       C  \\nATOM  41    C    TRP  8          4.001   6.306  -2.858                       C  \\nATOM  42    CB   TRP  8          4.616   8.622  -2.131                       C  \\nATOM  43    O    TRP  8          5.032   5.702  -3.142                       O  \\nATOM  44    N    GLY  9          2.556   5.985  -3.891                       N  \\nATOM  45    CA   GLY  9          2.124    5.13  -4.988                       C  \\nATOM  46    C    GLY  9          1.563   3.805  -4.528                       C  \\nATOM  47    O    GLY  9          1.478   3.477   -3.34                       O  \\nENDMDL\\nMODEL 3\\nATOM  1     N    GLY  0         -6.466  -0.563   0.183                       N  \\nATOM  2     CA   GLY  0         -5.605  -1.621  -0.342                       C  \\nATOM  3     C    GLY  0         -5.799  -2.952   0.367                       C  \\nATOM  4     O    GLY  0         -6.128  -3.071   1.541                       O  \\nATOM  5     N    TYR  1         -5.535  -4.152  -0.618                       N  \\nATOM  6     CA   TYR  1         -5.826  -5.439     0.0                       C  \\nATOM  7     C    TYR  1         -4.549  -6.233   0.253                       C  \\nATOM  8     CB   TYR  1         -6.775   -6.26  -0.889                       C  \\nATOM  9     O    TYR  1         -4.673  -7.422   0.523                       O  \\nATOM  10    N    ASP  2         -2.982  -5.612   0.198                       N  \\nATOM  11    CA   ASP  2          -1.69  -6.275   0.332                       C  \\nATOM  12    C    ASP  2         -0.955  -5.812   1.585                       C  \\nATOM  13    CB   ASP  2         -0.826  -6.018  -0.905                       C  \\nATOM  14    O    ASP  2         -1.711  -5.218   2.359                       O  \\nATOM  15    N    PRO  3          0.198  -5.864   2.041                       N  \\nATOM  16    CA   PRO  3          0.813  -5.748    3.37                       C  \\nATOM  17    C    PRO  3          0.903  -4.304   3.851                       C  \\nATOM  18    CB   PRO  3          2.201  -6.352   3.165                       C  \\nATOM  19    O    PRO  3          0.887  -3.901   5.013                       O  \\nATOM  20    N    GLU  4          0.993  -3.638   2.816                       N  \\nATOM  21    CA   GLU  4          0.824  -2.236   3.173                       C  \\nATOM  22    C    GLU  4         -0.351  -1.621   2.421                       C  \\nATOM  23    CB   GLU  4          2.098  -1.446   2.886                       C  \\nATOM  24    O    GLU  4         -0.757  -2.054   1.342                       O  \\nATOM  25    N    THR  5         -0.884  -0.622    2.99                       N  \\nATOM  26    CA   THR  5         -1.915   0.218   2.391                       C  \\nATOM  27    C    THR  5         -1.297    1.19   1.396                       C  \\nATOM  28    CB   THR  5         -2.691   0.991   3.466                       C  \\nATOM  29    O    THR  5         -1.004   2.321   1.777                       O  \\nATOM  30    N    GLY  6         -1.078   0.883   0.167                       N  \\nATOM  31    CA   GLY  6         -1.007   1.968  -0.805                       C  \\nATOM  32    C    GLY  6          0.366   2.108  -1.445                       C  \\nATOM  33    O    GLY  6          1.096   1.162  -1.731                       O  \\nATOM  34    N    THR  7          0.874   4.229  -1.785                       N  \\nATOM  35    CA   THR  7          1.992   4.437  -2.698                       C  \\nATOM  36    C    THR  7          2.855   5.603  -2.238                       C  \\nATOM  37    CB   THR  7          1.508   4.689  -4.133                       C  \\nATOM  38    O    THR  7          2.338   6.684  -1.948                       O  \\nATOM  39    N    TRP  8          4.071   5.452  -2.152                       N  \\nATOM  40    CA   TRP  8          4.824    6.61  -1.674                       C  \\nATOM  41    C    TRP  8            6.1   6.804  -2.476                       C  \\nATOM  42    CB   TRP  8          5.159   6.451  -0.181                       C  \\nATOM  43    O    TRP  8          6.797   5.797  -2.583                       O  \\nATOM  44    N    GLY  9          6.477   7.628  -2.945                       N  \\nATOM  45    CA   GLY  9           7.59   8.085  -3.747                       C  \\nATOM  46    C    GLY  9          8.945   7.817   -3.11                       C  \\nATOM  47    O    GLY  9          9.077   7.266  -2.011                       O  \\nENDMDL\\nMODEL 4\\nATOM  1     N    GLY  0         -9.974  -7.173  -2.775                       N  \\nATOM  2     CA   GLY  0         -8.742  -6.745  -2.132                       C  \\nATOM  3     C    GLY  0         -8.843  -6.696  -0.616                       C  \\nATOM  4     O    GLY  0         -9.736  -6.273   0.105                       O  \\nATOM  5     N    TYR  1         -7.952  -7.116  -0.394                       N  \\nATOM  6     CA   TYR  1         -7.954  -7.175   1.058                       C  \\nATOM  7     C    TYR  1         -6.591  -6.774   1.614                       C  \\nATOM  8     CB   TYR  1         -8.325  -8.578   1.541                       C  \\nATOM  9     O    TYR  1         -6.047   -7.28   2.598                       O  \\nATOM  10    N    ASP  2         -6.055  -5.749   0.843                       N  \\nATOM  11    CA   ASP  2         -4.692  -5.365   1.213                       C  \\nATOM  12    C    ASP  2         -4.393  -3.928   0.803                       C  \\nATOM  13    CB   ASP  2         -3.681  -6.322   0.584                       C  \\nATOM  14    O    ASP  2          -4.73  -3.386  -0.238                       O  \\nATOM  15    N    PRO  3          -3.64  -3.328   1.891                       N  \\nATOM  16    CA   PRO  3         -3.348  -1.936   1.526                       C  \\nATOM  17    C    PRO  3         -2.107  -1.814   0.649                       C  \\nATOM  18    CB   PRO  3         -3.129  -1.258   2.879                       C  \\nATOM  19    O    PRO  3         -1.287  -2.705   0.472                       O  \\nATOM  20    N    GLU  4         -2.034  -0.608   0.089                       N  \\nATOM  21    CA   GLU  4         -0.748  -0.298  -0.535                       C  \\nATOM  22    C    GLU  4           0.41  -0.543   0.433                       C  \\nATOM  23    CB   GLU  4         -0.727   1.153  -1.017                       C  \\nATOM  24    O    GLU  4          0.316  -0.539   1.659                       O  \\nATOM  25    N    THR  5          1.537  -0.763  -0.244                       N  \\nATOM  26    CA   THR  5          2.735   -0.88   0.575                       C  \\nATOM  27    C    THR  5          3.213   0.489    1.04                       C  \\nATOM  28    CB   THR  5          3.862  -1.592  -0.197                       C  \\nATOM  29    O    THR  5          3.253   1.503   0.336                       O  \\nATOM  30    N    GLY  6          3.615   0.418   2.409                       N  \\nATOM  31    CA   GLY  6          3.807   1.644   3.178                       C  \\nATOM  32    C    GLY  6          4.807   2.585   2.552                       C  \\nATOM  33    O    GLY  6          5.012   3.664   3.118                       O  \\nATOM  34    N    THR  7          5.627   2.278   1.175                       N  \\nATOM  35    CA   THR  7          6.425   3.183   0.362                       C  \\nATOM  36    C    THR  7          5.723   4.541   0.223                       C  \\nATOM  37    CB   THR  7          6.687   2.607  -1.046                       C  \\nATOM  38    O    THR  7          4.798   4.884   0.957                       O  \\nATOM  39    N    TRP  8          6.482   5.756  -1.285                       N  \\nATOM  40    CA   TRP  8          6.066   7.149  -1.104                       C  \\nATOM  41    C    TRP  8          6.667   8.046  -2.171                       C  \\nATOM  42    CB   TRP  8          6.464    7.65    0.29                       C  \\nATOM  43    O    TRP  8          7.882   7.876  -2.314                       O  \\nATOM  44    N    GLY  9          5.999   9.323  -3.297                       N  \\nATOM  45    CA   GLY  9           6.45  10.423  -4.141                       C  \\nATOM  46    C    GLY  9           6.04  11.781    -3.6                       C  \\nATOM  47    O    GLY  9            5.4  11.939  -2.564                       O  \\nENDMDL\\nMODEL 5\\nATOM  1     N    GLY  0         -5.716  -0.136  -3.845                       N  \\nATOM  2     CA   GLY  0         -6.591  -1.155  -3.292                       C  \\nATOM  3     C    GLY  0         -6.163  -1.636  -1.923                       C  \\nATOM  4     O    GLY  0         -5.733  -0.893  -1.041                       O  \\nATOM  5     N    TYR  1         -6.272  -2.748  -1.797                       N  \\nATOM  6     CA   TYR  1         -5.971  -3.399  -0.522                       C  \\nATOM  7     C    TYR  1         -4.664  -4.183  -0.618                       C  \\nATOM  8     CB   TYR  1         -7.111  -4.337  -0.118                       C  \\nATOM  9     O    TYR  1         -4.539  -5.216  -1.274                       O  \\nATOM  10    N    ASP  2          -3.62  -3.585   0.141                       N  \\nATOM  11    CA   ASP  2         -2.377  -4.283   0.475                       C  \\nATOM  12    C    ASP  2         -1.914  -3.935   1.884                       C  \\nATOM  13    CB   ASP  2         -1.285  -3.929  -0.548                       C  \\nATOM  14    O    ASP  2         -2.112   -2.81   2.338                       O  \\nATOM  15    N    PRO  3         -1.177   -5.02   2.747                       N  \\nATOM  16    CA   PRO  3         -0.883  -4.892   4.179                       C  \\nATOM  17    C    PRO  3          0.507  -4.329   4.449                       C  \\nATOM  18    CB   PRO  3         -0.994  -6.327   4.692                       C  \\nATOM  19    O    PRO  3          1.052  -4.147   5.538                       O  \\nATOM  20    N    GLU  4           0.94  -4.097   3.394                       N  \\nATOM  21    CA   GLU  4          2.389  -3.892   3.422                       C  \\nATOM  22    C    GLU  4          2.781  -2.662   2.606                       C  \\nATOM  23    CB   GLU  4          3.111  -5.124   2.893                       C  \\nATOM  24    O    GLU  4          3.338  -1.766   3.233                       O  \\nATOM  25    N    THR  5          2.611  -2.421   1.312                       N  \\nATOM  26    CA   THR  5          2.974  -1.282   0.484                       C  \\nATOM  27    C    THR  5          2.547    0.03   1.153                       C  \\nATOM  28    CB   THR  5          2.318  -1.371  -0.908                       C  \\nATOM  29    O    THR  5          1.362   0.345   1.249                       O  \\nATOM  30    N    GLY  6          3.363    0.68   1.536                       N  \\nATOM  31    CA   GLY  6          3.019   2.077   1.788                       C  \\nATOM  32    C    GLY  6          2.213   2.694   0.668                       C  \\nATOM  33    O    GLY  6          2.291   2.275  -0.494                       O  \\nATOM  34    N    THR  7          1.306   3.827    1.03                       N  \\nATOM  35    CA   THR  7          0.292   4.411   0.152                       C  \\nATOM  36    C    THR  7          0.929   5.403  -0.818                       C  \\nATOM  37    CB   THR  7         -0.808   5.119   0.974                       C  \\nATOM  38    O    THR  7           0.16   6.016  -1.558                       O  \\nATOM  39    N    TRP  8          2.203   5.669  -0.935                       N  \\nATOM  40    CA   TRP  8          3.019   6.698   -1.57                       C  \\nATOM  41    C    TRP  8          3.917   6.102  -2.647                       C  \\nATOM  42    CB   TRP  8          3.874   7.432  -0.525                       C  \\nATOM  43    O    TRP  8           5.01   5.594  -2.377                       O  \\nATOM  44    N    GLY  9          3.456   6.152  -3.902                       N  \\nATOM  45    CA   GLY  9          4.127   5.716  -5.116                       C  \\nATOM  46    C    GLY  9          4.935   6.816   -5.78                       C  \\nATOM  47    O    GLY  9          5.016   7.962  -5.336                       O  \\nENDMDL\\nMODEL 6\\nATOM  1     N    GLY  0        -10.096  -2.785  -3.173                       N  \\nATOM  2     CA   GLY  0         -8.814  -3.451   -3.31                       C  \\nATOM  3     C    GLY  0         -7.998  -3.437  -2.034                       C  \\nATOM  4     O    GLY  0         -8.274  -3.123  -0.872                       O  \\nATOM  5     N    TYR  1         -7.011  -3.833  -2.519                       N  \\nATOM  6     CA   TYR  1         -6.116  -3.861  -1.373                       C  \\nATOM  7     C    TYR  1         -4.679  -3.559  -1.789                       C  \\nATOM  8     CB   TYR  1         -6.171  -5.232  -0.677                       C  \\nATOM  9     O    TYR  1         -4.129  -3.741  -2.872                       O  \\nATOM  10    N    ASP  2         -4.127  -2.968  -0.519                       N  \\nATOM  11    CA   ASP  2         -2.737  -2.575  -0.784                       C  \\nATOM  12    C    ASP  2         -1.758  -3.495  -0.051                       C  \\nATOM  13    CB   ASP  2         -2.505  -1.122  -0.371                       C  \\nATOM  14    O    ASP  2         -1.985  -3.912   1.078                       O  \\nATOM  15    N    PRO  3         -0.561  -3.846  -0.778                       N  \\nATOM  16    CA   PRO  3          0.393  -4.884  -0.365                       C  \\nATOM  17    C    PRO  3          1.362  -4.393   0.712                       C  \\nATOM  18    CB   PRO  3          1.138  -5.221  -1.659                       C  \\nATOM  19    O    PRO  3          2.407  -4.973   0.986                       O  \\nATOM  20    N    GLU  4          0.973  -3.324   1.297                       N  \\nATOM  21    CA   GLU  4           1.94  -2.894   2.305                       C  \\nATOM  22    C    GLU  4          1.903  -1.383   2.499                       C  \\nATOM  23    CB   GLU  4          3.357  -3.332   1.907                       C  \\nATOM  24    O    GLU  4          1.823  -0.517   1.622                       O  \\nATOM  25    N    THR  5          1.965  -1.178    3.89                       N  \\nATOM  26    CA   THR  5          2.015    0.25   4.214                       C  \\nATOM  27    C    THR  5          3.281   0.887    3.66                       C  \\nATOM  28    CB   THR  5          1.938   0.477   5.735                       C  \\nATOM  29    O    THR  5          4.326   0.389   3.244                       O  \\nATOM  30    N    GLY  6          2.844   2.419   3.797                       N  \\nATOM  31    CA   GLY  6          3.839   3.403   3.406                       C  \\nATOM  32    C    GLY  6          3.257   4.542   2.582                       C  \\nATOM  33    O    GLY  6          2.152   4.474   2.057                       O  \\nATOM  34    N    THR  7          4.037   5.631   2.472                       N  \\nATOM  35    CA   THR  7          3.623   6.746   1.627                       C  \\nATOM  36    C    THR  7          3.525   6.313   0.166                       C  \\nATOM  37    CB   THR  7          4.617   7.928   1.747                       C  \\nATOM  38    O    THR  7          2.932   7.052  -0.619                       O  \\nATOM  39    N    TRP  8          4.032    5.18  -0.299                       N  \\nATOM  40    CA   TRP  8          3.976   4.825   -1.72                       C  \\nATOM  41    C    TRP  8          3.189   3.537  -1.921                       C  \\nATOM  42    CB   TRP  8           5.38   4.688  -2.297                       C  \\nATOM  43    O    TRP  8          3.057   2.608  -1.113                       O  \\nATOM  44    N    GLY  9          2.554   3.629  -3.498                       N  \\nATOM  45    CA   GLY  9          1.879   2.439  -3.999                       C  \\nATOM  46    C    GLY  9          2.518   1.875  -5.253                       C  \\nATOM  47    O    GLY  9           3.51   2.369  -5.786                       O  \\nENDMDL\\nMODEL 7\\nATOM  1     N    GLY  0          -7.48  -7.534  -1.902                       N  \\nATOM  2     CA   GLY  0         -7.682  -8.278  -0.665                       C  \\nATOM  3     C    GLY  0         -8.578  -7.557   0.325                       C  \\nATOM  4     O    GLY  0         -9.139  -6.465   0.433                       O  \\nATOM  5     N    TYR  1         -8.528  -8.041   0.626                       N  \\nATOM  6     CA   TYR  1         -9.179  -7.349   1.735                       C  \\nATOM  7     C    TYR  1         -8.263   -6.28   2.324                       C  \\nATOM  8     CB   TYR  1         -9.582  -8.348   2.825                       C  \\nATOM  9     O    TYR  1          -8.77  -5.164   2.451                       O  \\nATOM  10    N    ASP  2         -6.866  -6.382   2.744                       N  \\nATOM  11    CA   ASP  2         -5.948  -5.334   3.191                       C  \\nATOM  12    C    ASP  2         -4.942  -4.994   2.098                       C  \\nATOM  13    CB   ASP  2         -5.208  -5.785   4.458                       C  \\nATOM  14    O    ASP  2         -4.192  -5.936   1.872                       O  \\nATOM  15    N    PRO  3         -4.617   -3.86   1.241                       N  \\nATOM  16    CA   PRO  3          -3.65   -3.44   0.225                       C  \\nATOM  17    C    PRO  3         -2.341  -2.931   0.835                       C  \\nATOM  18    CB   PRO  3         -4.377  -2.316  -0.512                       C  \\nATOM  19    O    PRO  3         -2.248  -1.844   1.397                       O  \\nATOM  20    N    GLU  4         -1.708  -3.447   0.749                       N  \\nATOM  21    CA   GLU  4         -0.406  -2.938   1.189                       C  \\nATOM  22    C    GLU  4          0.294  -2.185   0.063                       C  \\nATOM  23    CB   GLU  4          0.477  -4.093   1.676                       C  \\nATOM  24    O    GLU  4          0.289  -2.685   -1.06                       O  \\nATOM  25    N    THR  5          1.019  -0.803   0.237                       N  \\nATOM  26    CA   THR  5          1.619   0.101  -0.736                       C  \\nATOM  27    C    THR  5          2.834   0.801  -0.151                       C  \\nATOM  28    CB   THR  5          0.605   1.148  -1.235                       C  \\nATOM  29    O    THR  5          2.902   0.948   1.068                       O  \\nATOM  30    N    GLY  6          3.716   1.219  -0.813                       N  \\nATOM  31    CA   GLY  6          4.958   1.867  -0.422                       C  \\nATOM  32    C    GLY  6          4.773   3.322  -0.048                       C  \\nATOM  33    O    GLY  6           3.67   3.703    0.35                       O  \\nATOM  34    N    THR  7          5.862   4.302  -0.133                       N  \\nATOM  35    CA   THR  7          5.927   5.678   0.348                       C  \\nATOM  36    C    THR  7          5.781   6.652  -0.822                       C  \\nATOM  37    CB   THR  7          7.241   5.947   1.093                       C  \\nATOM  38    O    THR  7          5.325   6.383  -1.923                       O  \\nATOM  39    N    TRP  8          6.157   7.655  -0.506                       N  \\nATOM  40    CA   TRP  8          6.027   8.794  -1.416                       C  \\nATOM  41    C    TRP  8          7.377   9.485  -1.609                       C  \\nATOM  42    CB   TRP  8          5.005   9.794  -0.875                       C  \\nATOM  43    O    TRP  8          8.343   9.565   -0.85                       O  \\nATOM  44    N    GLY  9          7.183  10.089  -3.099                       N  \\nATOM  45    CA   GLY  9          8.335  10.898  -3.448                       C  \\nATOM  46    C    GLY  9          9.472  10.093  -4.062                       C  \\nATOM  47    O    GLY  9          9.414   8.872  -4.252                       O  \\nENDMDL\\nMODEL 8\\nATOM  1     N    GLY  0         -5.954  -1.941  -4.103                       N  \\nATOM  2     CA   GLY  0         -6.791  -1.754  -2.939                       C  \\nATOM  3     C    GLY  0         -7.013  -3.024  -2.145                       C  \\nATOM  4     O    GLY  0         -8.128  -3.529  -2.265                       O  \\nATOM  5     N    TYR  1         -5.931   -3.89  -1.109                       N  \\nATOM  6     CA   TYR  1         -5.901  -5.322  -0.813                       C  \\nATOM  7     C    TYR  1         -5.696  -5.569   0.678                       C  \\nATOM  8     CB   TYR  1         -4.804  -6.013  -1.626                       C  \\nATOM  9     O    TYR  1         -5.961  -4.678   1.479                       O  \\nATOM  10    N    ASP  2         -5.331  -6.505   1.038                       N  \\nATOM  11    CA   ASP  2         -4.924  -6.734   2.421                       C  \\nATOM  12    C    ASP  2         -3.716   -5.86   2.793                       C  \\nATOM  13    CB   ASP  2         -4.584  -8.209   2.649                       C  \\nATOM  14    O    ASP  2         -2.985  -5.566    1.85                       O  \\nATOM  15    N    PRO  3         -3.449  -5.506   3.666                       N  \\nATOM  16    CA   PRO  3         -2.499  -4.469   4.087                       C  \\nATOM  17    C    PRO  3         -1.069  -4.756   3.637                       C  \\nATOM  18    CB   PRO  3         -2.611  -4.493   5.616                       C  \\nATOM  19    O    PRO  3         -0.505  -5.724   4.139                       O  \\nATOM  20    N    GLU  4          -0.26  -3.892   2.576                       N  \\nATOM  21    CA   GLU  4          1.034  -4.026   1.926                       C  \\nATOM  22    C    GLU  4          1.839  -2.737   2.026                       C  \\nATOM  23    CB   GLU  4          0.851  -4.419   0.453                       C  \\nATOM  24    O    GLU  4          1.424  -1.581   1.986                       O  \\nATOM  25    N    THR  5          3.272  -3.205   2.206                       N  \\nATOM  26    CA   THR  5          4.255  -2.137   2.297                       C  \\nATOM  27    C    THR  5          3.886   -0.98   1.378                       C  \\nATOM  28    CB   THR  5          5.661  -2.644   1.947                       C  \\nATOM  29    O    THR  5           3.61  -1.413   0.264                       O  \\nATOM  30    N    GLY  6           3.71   0.953   1.392                       N  \\nATOM  31    CA   GLY  6            3.2   2.151   0.742                       C  \\nATOM  32    C    GLY  6          4.194   3.299   0.753                       C  \\nATOM  33    O    GLY  6          4.978   3.396    1.69                       O  \\nATOM  34    N    THR  7          4.242   4.161  -0.164                       N  \\nATOM  35    CA   THR  7          4.958   5.432  -0.154                       C  \\nATOM  36    C    THR  7          4.187   6.484  -0.947                       C  \\nATOM  37    CB   THR  7          6.371   5.277  -0.734                       C  \\nATOM  38    O    THR  7          3.205   5.948  -1.447                       O  \\nATOM  39    N    TRP  8           4.19   7.365  -1.185                       N  \\nATOM  40    CA   TRP  8          3.569   8.445  -1.946                       C  \\nATOM  41    C    TRP  8          3.748   8.218  -3.446                       C  \\nATOM  42    CB   TRP  8          4.163   9.797  -1.547                       C  \\nATOM  43    O    TRP  8          4.898   7.975  -3.807                       O  \\nATOM  44    N    GLY  9          3.054   8.249  -4.171                       N  \\nATOM  45    CA   GLY  9          3.098   8.413   -5.62                       C  \\nATOM  46    C    GLY  9          3.698   9.747  -6.051                       C  \\nATOM  47    O    GLY  9          4.102  10.589  -5.256                       O  \\nENDMDL\\nMODEL 9\\nATOM  1     N    GLY  0        -11.522  -8.949   0.229                       N  \\nATOM  2     CA   GLY  0        -10.706  -7.762    0.44                       C  \\nATOM  3     C    GLY  0         -9.487  -7.704  -0.468                       C  \\nATOM  4     O    GLY  0         -9.037  -8.703  -1.033                       O  \\nATOM  5     N    TYR  1         -8.994  -6.591  -0.594                       N  \\nATOM  6     CA   TYR  1         -7.671  -6.461  -1.188                       C  \\nATOM  7     C    TYR  1         -6.594  -6.428  -0.117                       C  \\nATOM  8     CB   TYR  1         -7.595   -5.19   -2.04                       C  \\nATOM  9     O    TYR  1         -6.828  -5.836   0.938                       O  \\nATOM  10    N    ASP  2         -5.158  -7.131  -0.279                       N  \\nATOM  11    CA   ASP  2         -3.995  -7.242   0.609                       C  \\nATOM  12    C    ASP  2         -3.477   -5.87   1.006                       C  \\nATOM  13    CB   ASP  2         -2.884   -8.05   -0.07                       C  \\nATOM  14    O    ASP  2         -3.769  -4.898   0.315                       O  \\nATOM  15    N    PRO  3         -2.657  -5.662   2.189                       N  \\nATOM  16    CA   PRO  3         -2.446  -4.379   2.844                       C  \\nATOM  17    C    PRO  3         -1.808  -3.341   1.924                       C  \\nATOM  18    CB   PRO  3         -1.503  -4.723     4.0                       C  \\nATOM  19    O    PRO  3         -0.851  -3.748   1.255                       O  \\nATOM  20    N    GLU  4         -2.201  -1.818   1.703                       N  \\nATOM  21    CA   GLU  4         -1.491  -0.648   1.175                       C  \\nATOM  22    C    GLU  4         -0.045  -0.617   1.641                       C  \\nATOM  23    CB   GLU  4         -2.206   0.639   1.604                       C  \\nATOM  24    O    GLU  4           0.26  -0.749   2.826                       O  \\nATOM  25    N    THR  5           0.96   -0.43   0.635                       N  \\nATOM  26    CA   THR  5          2.408  -0.269   0.729                       C  \\nATOM  27    C    THR  5          2.821   1.138   0.321                       C  \\nATOM  28    CB   THR  5           3.14  -1.306  -0.155                       C  \\nATOM  29    O    THR  5          3.006    1.41  -0.864                       O  \\nATOM  30    N    GLY  6           3.02   2.286    1.48                       N  \\nATOM  31    CA   GLY  6          3.325   3.709    1.44                       C  \\nATOM  32    C    GLY  6          4.334    4.08   0.371                       C  \\nATOM  33    O    GLY  6          5.495   4.372    0.63                       O  \\nATOM  34    N    THR  7           3.88   4.074   -0.85                       N  \\nATOM  35    CA   THR  7          4.778   4.542  -1.907                       C  \\nATOM  36    C    THR  7          5.417   5.868  -1.516                       C  \\nATOM  37    CB   THR  7          4.032   4.696  -3.244                       C  \\nATOM  38    O    THR  7          4.629   6.776  -1.258                       O  \\nATOM  39    N    TRP  8          7.524   6.379  -1.371                       N  \\nATOM  40    CA   TRP  8          8.314   7.597  -1.249                       C  \\nATOM  41    C    TRP  8          7.744     8.7  -2.141                       C  \\nATOM  42    CB   TRP  8          9.775   7.333  -1.622                       C  \\nATOM  43    O    TRP  8          7.414   8.193  -3.203                       O  \\nATOM  44    N    GLY  9          7.542    9.64  -2.193                       N  \\nATOM  45    CA   GLY  9          7.482  10.913  -2.893                       C  \\nATOM  46    C    GLY  9          8.822  11.324  -3.487                       C  \\nATOM  47    O    GLY  9          9.842  10.648   -3.38                       O  \\nENDMDL\\n\");\n",
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "---\n",
        "---\n",
        "# **Principal component analysis (PCA)**\n",
        "\n",
        "Principal component analysis is a common linear dimensionality reduction technique that maps the coordinates in each frame of your trajectory to a linear combination of orthogonal vectors. The vectors are called principal components, and they are ordered such that the first principal component accounts for the most variance in the original data (i.e. the largest uncorrelated motion in your trajectory), and each successive component accounts for less and less variance. The frame-by-frame conformational fluctuation can be considered a linear combination of the essential dynamics yielded by the PCA. Please see http://www.springer.com/gp/book/9780387954424 and https://doi.org/10.1063/1.4885338, for a more in-depth introduction to PCA."
      ],
      "metadata": {
        "id": "V_VhWMA9f7hg"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Calculating the Principal component analysis (PCA)**\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "#@markdown **Provide inputs below:**\n",
        "Selection1 = '1' #@param {type:\"string\"}\n",
        "Selection2 = '10' #@param {type:\"string\"}\n",
        "\n",
        "import MDAnalysis as mda\n",
        "import MDAnalysis.analysis.pca as pca\n",
        "\n",
        "u = mda.Universe(pdb_ref,traj)\n",
        "pca_calc = pca.PCA(u, select=f'resid {Selection1}:{Selection2}')\n",
        "pca_calc.run()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "cellView": "form",
        "id": "YafEviKJt27t",
        "outputId": "b3e2c5f1-f056-411d-b8fe-d3fbcb5d5dee"
      },
      "execution_count": 45,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<MDAnalysis.analysis.pca.PCA at 0x7bb3a9e4b650>"
            ]
          },
          "metadata": {},
          "execution_count": 45
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Calculating the Variance of Each Principal Component**\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import warnings\n",
        "warnings.filterwarnings('ignore')\n",
        "\n",
        "n_pcs = np.where(pca_calc.cumulated_variance > 0.99)[0][0]\n",
        "atomgroup = u.select_atoms(f'resid {Selection1}:{Selection2}')\n",
        "pca_space = pca_calc.transform(atomgroup, n_components=n_pcs)\n",
        "\n",
        "for i in range(10):\n",
        "    print(f\"Cumulated variance for PC{i+1}: {pca_calc.cumulated_variance[i]:.3f}\")\n",
        "\n",
        "transformed = pca_calc.transform(atomgroup, n_components=n_pcs)\n",
        "transformed.shape\n",
        "df = pd.DataFrame(transformed,\n",
        "                  columns=['PC{}'.format(i+1) for i in range(n_pcs)])\n",
        "df['Frame'] = df.index * u.trajectory.dt\n",
        "\n",
        "plt.plot(pca_calc.cumulated_variance[:n_pcs])\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks(fontsize = 12)\n",
        "plt.xlabel('Principal component', fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel('Cumulative variance', fontsize = 14, fontweight = 'bold')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 637
        },
        "cellView": "form",
        "id": "_nUGyc9Jt-Ug",
        "outputId": "d78d6090-5561-458a-e696-0f58ce2b71ef"
      },
      "execution_count": 46,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Cumulated variance for PC1: 0.419\n",
            "Cumulated variance for PC2: 0.551\n",
            "Cumulated variance for PC3: 0.635\n",
            "Cumulated variance for PC4: 0.693\n",
            "Cumulated variance for PC5: 0.726\n",
            "Cumulated variance for PC6: 0.758\n",
            "Cumulated variance for PC7: 0.780\n",
            "Cumulated variance for PC8: 0.800\n",
            "Cumulated variance for PC9: 0.818\n",
            "Cumulated variance for PC10: 0.836\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Plot the Principle Component Analysis (PCA)**\n",
        "\n",
        "#@markdown **Provide which principal component you want to plot:**\n",
        "\n",
        "PC_x = \"1\" #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\"]\n",
        "PC_y = \"3\" #@param [\"1\", \"2\", \"3\", \"4\", \"5\", \"6\", \"7\", \"8\", \"9\", \"10\"]\n",
        "\n",
        "\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from scipy.stats import gaussian_kde\n",
        "\n",
        "PC1 = df[f'PC{PC_x}'].tolist()\n",
        "PC2 = df[f'PC{PC_y}'].tolist()\n",
        "\n",
        "# Create the figure\n",
        "plt.figure(figsize=(5, 5))\n",
        "plt.scatter(PC1, PC2, s=5, color=\"gray\", alpha=0.2)\n",
        "\n",
        "# Plot a KDE contour map (no fill)\n",
        "sns.kdeplot(x=PC1, y=PC2, cmap=\"viridis\", levels=10, linewidths=1.5)\n",
        "\n",
        "plt.xlabel(f\"PC{PC_x}\", fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel(f\"PC{PC_y}\", fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks(fontsize = 12)\n",
        "\n",
        "plt.savefig(os.path.join(workDir, f\"PC{PC_x}_PC{PC_y}_2D.png\"), dpi=600, bbox_inches='tight')\n",
        "\n",
        "# Compute KDE\n",
        "xy = np.vstack([PC1, PC2])\n",
        "kde = gaussian_kde(xy)(xy)  # Evaluates the density at each point\n",
        "\n",
        "# 3D plot\n",
        "fig = plt.figure(figsize=(8, 6))\n",
        "ax = fig.add_subplot(projection='3d')\n",
        "\n",
        "# Scatter plot with Z as density\n",
        "ax.scatter(PC1, PC2, kde, c=kde, cmap='viridis')\n",
        "\n",
        "# Labels\n",
        "ax.set_xlabel(f\"PC{PC_x}\", fontsize = 14, fontweight = 'bold')\n",
        "ax.set_ylabel(f\"PC{PC_y}\", fontsize = 14, fontweight = 'bold')\n",
        "ax.set_zlabel(\"Density (Z)\", fontsize = 11, fontweight = 'bold')\n",
        "ax.set_title(\"3D Density Plot of PCA Data\")\n",
        "\n",
        "# plt.show()\n",
        "plt.savefig(os.path.join(workDir, f\"PC{PC_x}_PC{PC_y}_3D.png\"), dpi=600, bbox_inches='tight')\n",
        "pc1=pd.DataFrame(PC1)\n",
        "pc1.to_csv(os.path.join(workDir, f\"PC{PC_x}.csv\"))\n",
        "pc2=pd.DataFrame(PC2)\n",
        "pc2.to_csv(os.path.join(workDir, f\"PC{PC_y}.csv\"))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 982
        },
        "cellView": "form",
        "id": "RTYuE42buKmD",
        "outputId": "795c6541-4e54-4984-eeac-51709386a235"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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fYbPaCYkM5rFv72HgxPS/87JE/oGIgtvFiIJ7+mCsMrHmh02smreePasP+CKLpTIpGZP6Mfai4YyaNZTQqJBOPe/JCHw6k/EnolVVVR2+54VHinn2ktfJ3pOHVCrhhhevZPb/nXtKWfsiXYsouF2MKLinNk6Hk82/7WDZl6vZ/NuORlmR+o/vw6TLxjDmwuEEh3fdsxUt3JPPid5zm9XOf277iGVfrgZg8hVjuffDm1EFiEkzRETB7XJEwT31EASBI9uzWf7lalbNW4+hwuh7r9vAZCZeOoYJc0YRlRRx0vpzKq+Rnor8lXsuCAK/vLOE9+/7HI/bQ48h3Xj6pwcIj+uaSHSRUwdRcLsYUXBPHYzVJpZ/tYbfP1lB7r4C3+v66BCmXDWeqVePJ7mvuPVDpH3sWrmPZy5+DVO1GX10CE/+eD99Rvb8u7sl8jciCm4XIwruPxuPx8OuP/ex5LM/Wf/TFt9eWaVawajzhzHlynEMmTYAmVxM5Qeitd1RSrLLePKCl8nZm49CKefOd29gxvWT/+5uifxNiILbxYiC+8/EWGXi90/+ZNEHf1CaU+57PXVAEjNvnMqky8egCQn6G3vYNTjsTirLTVSW1VJTZcZQbcFsrMNssmGzOrDZnLicbtxuDxKJBKnUmyZRpVYQGKRCoZKAxEmQTkVYpIY+6d2Ijj3uWj+VBPlk9bXOXMdL17zD+p+2ADDzxinc9p/rOi2bmMipgyi4XYwouP8cBEFg//pDLPpgGWt+2ITT7rVmg4IDmXT5WM6aO5Eeg1P/sQLRXgRBoLLMSM7RMvKzyynIqSQ/p5zSwhpqqjq/Ak9waCBxSeGkdo8iNjmUkAg5kbFalEpFhwO8TqZgn8xgNI/Hw7cv/MQXT8xDEAS6D07l8e/uJbZbdJecT+SfiSi4XYwouH8/DruTld+uY8Fbv5G9O8/3elpGCrNun86ES0ef0qXXKspq2b01k0N7C8nLrCA3swJTbV2L7ZUqOaHhQejDtejDdehCAtFo1agDlagDFCgUcqRSr8i53R6cDhd2mxOrxU51lYnykmpqa+qorbZiqrX5PYdKLSelRzgDh3djwlkZJHWLaJdwnkwR/Du2W237YzfPX/4mpmozgdoA7vngZiZeOrpLzynyz0EU3C5GFNy/j+rSGn59bym/fbgcQ7m3WIAqQMnEy8Zwzs1T6TGk2ylnzXo8HnIzy9m3I4/9O/M4sLuAitLaZu2kMinxSWEkp0URFhWIJlhGUrdoPBIb6kAZWq22Q4JWb3nabLZGGZhkUgUlBTXkZ1eQc7SUg3vyOXqgBFuds9Hno2JDGDOlLxOm9yOtdwwSicSvNVtZWUlBQQFqtRqbzUZCQgIREV0TDf53bbcqL6jkhSveYt+6QwBMuWoct705F22opsvPLfL3IgpuFyMK7smnOKuU7178meVfrcbpcAEQHqfn/DvPZsYNk9DpT509rIIgkJdVzq4tOezZmsOe7bmYjY2tV4lUQkxCMN37xBAVp6HfoG4MGNzdt0bYUFgsFgtSqZTo6OgOWXXtFSdBEDAaTWQeKuLovlL27Shk99Yc33MASEyNYNqsDAaMiMNgrEQmkxEUFERsbCxms5mDBw/6ztO7d29f5qfOpqWsUSfDpe12ufnqmfl8+/wCPB6BsNhQ7v3wFoafPajTzyXyz0EU3C5GFNyTR9buXL59YQFrf9iEx+P9uvYe0Z2L7j2X0ecPRa6Q/639a+/6ZElhNbs2Z7NrSza7t+ZgqG687qoKUJDSI5yUHuF06x1F34HJOF22FsWw4XmdTidGoxGPx9Mhq+6vuF9tdQ62rT/K6qX72LzmMA67V3zlCim9BkYw/uyexCXpSUhIwGKxkJeX5xO/xMTELrNw/dFVVm9Lz/7ApiO8cu07FB7xpgedeNlobnntGvTRoR06jsipwRknuGazmVdeeYXNmzezZcsWampq+Oyzz7j22mubtT148CD33nsv69atQ6lUMnPmTF5//fUODQCi4HY9Ofvy+eKJ71j/81bfa8POzuCyhy8gfUzvv7FnjWlpMDcarOzaks3OTVns3JxNaVFNo8+p1Ar6ZiQyYGgKA4amEBKhpKam2ve9Cg8PR61Wt2sQPtEBu7OEyGysY80f+/nlu43kZVb4Xu81MIo5140lQOehqqoKgPDwcFJTU09qVq2uWtdt7f7ZrHY+/9d3/PTWb3g8AoG6AOb++zLOvWVas+1oYtaxU5szTnBzc3NJSUkhMTGR1NRUVq1a5VdwCwsLycjIIDg4mLvuuguz2cyrr75KYmIiW7ZsQalUtut8ouB2HcVZpXz2r+9YPW8DgiAgkUgYP2cUlz18Aan9k/7u7vmoF7nS0lJMJhPBOj27t2ZRmG3i8N4Ssg+X0vDnJZNL6dUvnoHDUskYnkrPfvEoGljnf8eg29mWldFoZP3K3Sz7eR8Hd5VQf/n9hsYz68rBKNQuoqOjSUw8sQpLJ0pX3dvKykrKy8tRKpVUVVX5vbYj27N469aPfBWnktMTuOW1axg8dUCj44h5tU9dzjjBtdvt1NTUEB0dzbZt2xg6dKhfwb3tttv4/PPPOXToEImJiQAsX76cqVOn8sEHH3DTTTe163yi4HY+phozXz09n4XvL8Xl9OY2Hjt7BNc8PYek3vF/c++aU11Vw6a1+9i3I58je0spzjficTf+OSV1iyRjeCoZI7rRf0gyAa1ETZ8ObsWG11BRYubXb7ex6vc9CAJIJBJGTu7G3DunkZB0crfNdNW9NZlMZGVltWm9u91ufvtgOZ//61tMNd6lhKEzMrjp5atI7psgWrinOGec4DakNcGNiopi/PjxfP/9941e79mzJwkJCSxfvrxd5xAFt/Nwu90sfP8Pvnzqe0zVZgCGTh/Idc9fTtrAlA4dqytFy+FwcXhvIXu257J3Ww77d+XjdLgbtYmI1pExvBsZw7sxYFgK+vC/f9D8u4U8N7OMT95cytZ1mQAEalRccfMEZl06Arni1M70JQgC+fn5lJaWEhYWhsPhIDIyskXr1Fht4n/P/MCv7y3F7XIjkUiYctU4rnziYrQRgaf0ZOtMpr168PdGm5xkioqKKC8vZ8iQIc3eGzZsGIsXL/4benVmc3RHNm/e8uFxd1vfBG55vbG7rSOYzeZOsxRsdQ4O7ytk7/Y89m7P5eCeAl9gUD3aYDVpfSLp2S+GMZP7k9bz5OZkbiim9cshDoej0aDdmffkREhOi+LZd65m3848Pnjld44eKOaj15ay9Kcd3P7ITAYMTT1pfelsJBIJer3eF7gml8tRqVr2Yuj0Wm57cy7n3T6dTx75mnULNrPsy9Ws/HYdM26YwuWPXoD2HzBJE+kazijBLSnxRgz6244QExNDdXW1b4bZFLvdjt1u9/3baDQ2ayPSfmxWO1899T0/vLEIj9tDUHAg1z13OTNvmvKX8hvb7Xbcbrdvtmm329stLmZjHft35bNvRx57d+SSeaAEl6uxBRuiD6L/kBT6DU6m/5BkQiPUjQTuZNBQZC2WOvIKyqmusVJVbcZscWJ3eLDZXEhlStwesFpt2Gw2VColHo+bYF0Qer2OYF0gocGBREbqiI7QodXIcLmcXWZhpWck8db/buKPX3by2X+WkZ9dwUM3fs7Es/tz431n/SO8ASeCRqMhJiam2Tak1ojvHsOTP9zP4a2ZfPr4t+xYtoeF7y9lyad/cvYNk7n04fPFKkSnIWeU4NbVefc5+hNUtVrta+Pv/RdeeIGnn366azt4hnB4ayYvXvUf35aJCXNGcesb17a4ZaIjqFQqZDIZtbW1yGSyVq2N2hoL+3bmsXdbLnu355J9pIymKyxhEVrSj4lr/8HJxCeHd5mrryXXr8vtoai4hrz8KvIKq8jOLSMvv5KKKgtGk73tA7cTuUxKVGQQSQmhDExPYvjQHiQl6Dv1eqVSKdMvGMzoyX344p0V/DZ/KysX72HLmiNcc8dkZl48FJlM2mnnOxlIJBK0Wu0JeQ16Dk3jpaX/Yveq/Xz+xHfsW3eIX95dwuKPVzDzpinMeXCWKLynEWfUGm79619++SVXXXVVo888+OCDvPLKK8csgfZZuAkJCeIabgfweDx8+/xPfPn093jcHsLj9Nz9/k2MOGdwp52jtfVKs7GO3dty2L0lhz3bcsjNLG/2+bjEMNIHJ5GekUS/wclExYZ0+VpafZ+rq6spLqmgrMJKUYmZqhoneYVeoXU2sbQbolTICA1Ro9Uo0QQp0WnVBAWpiAgPRacNQi6X4rDbMVssuFwepFIFLjfUmmxUVZsprzBSXGrA4Wh+jvAwDSOHdmPMiDSGZCQj7+TqSkf2F/H2cws5eqAYgLTeMdzx6Dn06nfmlUsUBIFdK/fx5VPf+7JVKZRypl/vtXgjE8So5X8q4hquH+pdyfWu5YaUlJSg1+tbtIhUKlWr1pJI6xgqannxqrfZ/sduAMZfMpK737+p09PeNbQ23C43B/cUsH1DJts3ZHJkf5EvcUY9Sd0iSR+URP8hyaQPSiYs4uS5Nc0WO0cyS9mzP4+9+wvIyauiqsZ/DuMAtYLEhDAS4/VER2oIUAmE6dVEhmmIjg5DqVS2uIYLbW+Lqa01sv9gFvmFBgqKjOQXmTl0tIzKKjMLl+xm4ZLdBOsCmDy+N7POHkhyYucM/j36xvHmVzex+IdtfP72cjIPlnDPVR8x9bwMrr1zykl9Hn83EomEjEn9GDgxnZ1/7uOrp73Cu/D9pSz5ZAXTr5vEpY9cIArvKcwZZeECREZGMmHCBL9RyvHx8axYsaJd5xCjlNtP5s4cnjj/JSoKqlAFKLnz3RuYds2ELrEcrRY729YdZeOqQ2zbcLRZsv+ElHAGDktlwNAU+mYkIVcKJyUy1G53cjS7nENHSzl0pITDR0vJL6z22zY0WEVSop6+veLp0zOe1OQIoqOCfYUHTiTquK19nv6OWV1tYPX6fezcU8zOvaWYzMc9PIMHJnHFxSMYNKDz9tPWVJn59K1lLPt1JwABgUpmXzuGi64ahTqgffvjTycEQWDP6gP879n57Fq5HwC5Qsb06yZx2aMXisL7D0LcFtSC4N5666188cUXHD58mIQEr9tqxYoVTJkyhffff59bbrmlXecQBbd9rPlhIy9f8w72Ogdx3WN48sf7SUlP7NRz2OocbF5zmNVL97F13dFG+X01ugAGjejG4FFpDBrZjYioYN97XbX30eF0kZ1bwZHMMg4dKeHQ0VJy8iqbWdcA0ZE6UpPDiY5QEx+rJToygPi4KPR6fadOADp6rU23u9TV2Sgpd7J6Yy4bNmf6rqVPzxhuvGYcgwZ0XkKSg3sK+O/Lizm8rwgAfYSWy28cz7TzB6FUnlFOOR+7V+3ny6e/Z8/qA4DX1Tzzpqlc+sgFhMX89dgHkb/GGSm477zzDgaDgeLiYt5//30uvPBCMjIyALjzzjsJDg6moKCAjIwMQkJCuPvuu30pIePj49m6dWu73cai4LaOIAj88PoiPnzgS8C7r/bRb+7ptOLvgiCwf2ceSxbsYP2fB6izOnzvxSboGTWpNyMm9KJ3v/gWo57/anYfQRAor6jmaFbpMTesgaNZZeTkVeJyeZq1DwqUExsdRFpKOMOH9CRjQCohwYF/eZ9sez7f0XOYTCays7OprKwEICwsjG7duqHVaikpq+X7n7ayaOkeHMcmN8OHpHLHjRNJjP/rAT71hRLW/LGP7z/dSEWJt2pSRHQwF187hrPOH4RK3XaR9797/3FXsHv1fr586rjwqgKUzLpjBnMemnVKFe843TgjBTc5OZm8vDy/7+Xk5JCcnAzA/v37ue+++xrlUn7ttdeIiopq97lEwW0ZQRD44P++4Mc3fwPg/DtmcMsb1yCT/fWAG6vFzvKFu1j0/Rbys4/n7I2OC2X8WemMP6sfKT2iOj2PsNvtoaTUQHZuJdl5FV4LNquM0rJa/P2CgnUB9EiLokdaNLFRgSikFoICZUgkEuRyOd26deu01H1dYam3J2VhdY2FL7/byK+/78Lt9iCTSbn4/CFcc9lI3C7HCQtdw+vxeGD/1nJ++XoLVRUmwLs165xLhnH27CGtbiXqSCWkU0mYBUFg55/7+OKJ7ziw8QgAQcGBXPrwBVxw1wxUAWKsycnmjBTck4kouP7xeDy8dcuHLP7YuxZ+0ytXM/u+c/7yAFZVYeLnrzfy2/ytWC3etUSVWsGEGf2Ydl4GfQa2vZbYdGANCgrCYrE0Gmg9HoGSUgO5+VXkFlSRm1dJTn4l+YXVPmuuKaEhAcTHaOmRFsPAfil0T4siOlLXKGCpJWuxM6isrKS0rAyFKpCKyho0wSFotTpfHmqVQo5aJUcbqEbVTpdsR0S8sKiadz5eycYt3uQlUZFaLr+wHz3Twk5oAuDP86DTBvPHLzv5/rN1lJcYAJDLZYye3JuzZw+h/5CUZs+/vR6MUzWtoiAIbFm8g08f+5bsPV5DIyIhjLn/vozJV4xFKj21tledyoiC28WIgtscj8fDaze8zx+fr0IqlXDfx7dy1rUT/9IxqypMzP9sLb/9sM23NhuTEMqMCwdx9kXD0OgC/H7On9XSMOOSRCJFptBQXmElO6+S3PxKcvOqyC+swuH0vwVHpZKTnBBGSnIEqckRxEZpCFS7CAyQt2lBmUwmamq81YJCQ0PRarXtnoRY6hwUlRsoqqilpNJIaZWJ8moTlQYLVbUWDCYrFpuz7QMBASoFkXoN0XodiTGhpMaF0Tsliu4JESgauN5PxOrbsCWTN95bRvkxS3Ti2DTOOyuNxITYDlnzrQmgy+lm3YoD/PLNJg7uKfB9JjZBz5TzBjJxRn9i4vVtHqchp3rhALfbzZ9fr+PzJ76jPN87qes5tBu3vXUdfUb0+Jt7d2YgCm4XIwpuYwRB4O07PmHh+0uRyqQ8/NVdTLx09Akfr85q54fP1/PDl+uxHxOTnumxjJ/Zg579o1Eo5K1aIg0HW4lEiocA9h8qYt+BAkrKLOQV1GCz+7dYlUo58bEhxMcEk5wUTs/usSQnhhNzLFK4rVSKJ4LHI1BSZSSnqIq8kmpyS6rJL60hv9RAVa2l7QMcQyGXoVbKkcukSCQSPIKAw+mizu706/quR6WQMaBHHMPTk5gwOI2EqBOr22qx2Hjtnd9YscZr7epDA7j/jqmMHtGr3dfQXrHPPFTCb/O3sur3PY3W8Hv3T2DCjH6MmdIHpVrS5nFOVQu3KfY6Oz+9tZhvX/gJq8kbnT997kSuf/EKQiKC2/i0yF9BFNwuRhTcxnz2+Ld88/wCJBIJD315J5OvGHtCxxEEgdVL9/Hha0uoPmYp9eofz9W3TiIhLZjKyso2LRGXy83mbYfZsi2T3AIjR7IqsNY1twDlcinJCeGkJIeTnBhOSmIYyUnhBAVKKS8r8zsA/9XB2eMRKKmsJbuoqtFfbkk19hZc1gAh2gBiw3XERgQTHaYlSq8lPFRDWHAQobpAgoPUaAKULSamEAQBs9VOjamO8hoTJRVGckqqySyo4EB2KUZL44xVPRIjOHdcOmeP6o02SO17va3rLykp4eDBgxzJquT3P4swGL33ffaswdx0zThUqraDnTpKndXO2mUHWLl4N7u35vgiqKVSCf2HJDN2ajqjJvUmNMz/nu9TbQ23LapLa/j00W9Z+vlKALShQdz0ytWcNXfiKX1d/2REwe1iRME9zuKPlvPGzR8AcPf7N3HOzVNP6DilRTW8+cwv7NqcDUBMfCjX3zON0ZP7IJFIWh3sawwWNmzJYsOWLHbuzsPSwOIBrzu4R7coUpPDSIoPoUf3aHp1b1yPtp7WXIztdT/aHE4KywzkldaQV1JDbnEVOcXVrQqrQi4jKTqUpBg9KbF6EqNDSYwJJSEypJHodTaCIJBdVMXWA/ms25XN9oMFuI+JlkohY9qwNC6dlkFaUgxVVVWtXv/Ro0fJzc0lMjKSwsISNu8ysnpDLgCJ8Xoe/b+Z9O7RPJd5Z1FVbmTNH/tYtWSvb1sReJNKpA9KYty0dMZM6dOi+J4oLYl2Z4p5R491YONh3rrtI7J3e9d3Myb3476PbiE6OfKEzi/SMqLgdjGi4HrZ9sduHpv5PB63h6ueuJirn7qkw8cQBIHFP27jo9eWYqtzoFTJueDK4Zx10QC02qAWBy8BOavWHebPNYfYva+g0T5XnVZNeu8YenWPpF+fePr1TfIrrm2t9bZk4TqcTkx1LpAHYqxzU1xZS3FFLYVlBgrLaymrNrV4vUqFzCeq3eLDSY0LIyU2jNiIYOT/gDzCBlMdf2w6xI9/7ian2JucQyqRcPaonlx99iAMlaW++5Wamtro+19v4dbfu969e5NXVMfLb/1OVbUFmVTCpbOHc+3lo1D6eR6dSWlRDWv/2Me6FQcaia9UKqHf4GTGnZXOmMl9CA7961vVWpoMdqa7+kSO5Xa5+fGNRXzx5DwcNicBGjW3vnEt06+bJFq7nYgouF2MKLhQeLSEO4c/gtlgYcpV43jw8zs6/CM21Vp546lf2LDyIAD9Bidx0wNTEaQ2vwOLIAjs2V/Iz7/tZN3Go40CnHqmRTFqeBojhqbSPTWqXUnwG21BESBAE4LDI6WkvJqKGhMWmwuL3U2N0Uq10UqlwUJFjYkaU12ra6IA2kAVSTGhJEbrSY7RkxyrJzXunyOsrVlMgiCQl5fHmu2HWbW3jH053mCcAJWCmcOTGNM7gqCgQFJSUhp9/z0eD2VlZZjNZjQaDVFRUUilUmqNdbz13+WsWO19zkkJYTx413TS+8SdlGstKzawbvl+1vyxr7H4yqQMHtmNSTMHMHJCrxPOaNWS56MzA7L+yrGKMkt49br3fDmax84ewb0f3NzpqVXPVETB7WLOdMG1muq4Y/gjFBwqos+onryy4kmUHVyfO3qgmGf/71vKS2pRKGTMvWsq518xgurq6mYDS0ionpVrDzFvwRaOZh0vOpCaHMHUiX2YOLYXMVEtB4a4XG6KK40UlhkorjRSVmWkvMZMUVk1FTVmjFZHuyN965HJpESGaogO0xIbEUxseDDxkcHERYWQGBVKsEbd4QQUJ3M9sTWLqelWpuo6GYu2FnIw13vvE6OCmTu9D8P7d++QgKxZf4TX3/uDGoMViQTOOWsAN14zjuAORJv/1ftRWlTDmj/2sXrpPrIOHc+rHhikYuy0vpx1/iB690844b3D/yQLtyFut5sfX1/Ep499i9vlJjIxnCd+uJ+eQ7qdUH9EjiMKbhdzJguuIAg8d9kbrP5+I+Fxet7d+mKHS+stX7SLt575FafDRWyCnkdevoTuvWOB5hHGh7JMfPfjdkrKvBmHlAoZE8b24KLzhtAzLbrZwGipc7A/u5SDuaUczi0nq7CK/LIa3O7m2Z+aIpVKCNUGEqoNIFR3/L/64ED0ukDCgoMIDwkiPESDXhfoy2/c9P40FQnAVxHIYDCgUCiQy5tHWp/MZA1trVU3TXwRFxfPt79v4rNFOzDbnEglEi4/ayC3XTyu9WCtJv00mW28/8kqFi/bC3jd/9ddOZZzp/dvdpyuiiCu71dOZimbV2WybtlByooNvvcTUyM4+6IhTDl3YItbz9q6zr97DbclDm/N5PnL36Q4qwyFSsFd797A9OsmnVCfRLyIgtvFnMmCu/D9pfzn9o+RyWW8vvpp+ozs2e7PCoLA/95fydcfrgJg+LgePPjcbIK06kZtzGYzW7Zn88V3W8kr8K4jBuvUTBidwtgRiei0anQ6HQqFAqlMztEiA5v357PtQAFH88t9QT8NUSnlxIZpCdUoCdOpCQsOICU+mrDgQDRqOZFhwcREhjVyRZ/IIOdPJMC7vllTU4PZbCYpKQmn09nMLdjeIgNtCXd7aMvC9XcNxcXFlFUa+HblEbYf9Wb66p0SxXO3ziQ+KqRD59i9r4A3319Odq73OAlxoVx31VgmjO7pm8i0x43aGc8oKiqavKNV/PHzTtYu3+/biqZSK5h8zgBmXTaCpG5dG2x0Mr0blloLL13zDht/3QbARfeew02vXCUmyzhBRMHtYs5Uwc07UMBtQx7CYXNy86tXM/u+c9v9WbfLzVvP/sofv3irwcy5bizX3DG52Y+8vMLIW/9dzrpNmQBoglRccfEIxo1MpLy8BLVaTVVVNZmlFnZlV7Mrq4K6JntqY8J19EmJpldKJN3jI0iNDyMyVEt1detRtk1pSTBaGxz9iQRARUUFCoWCvLw8NBoNoaGhHbZw698vraikvKaWkPAoLDYbARqt73sol8kIVCoIDlKj1wQSoGzu6m8rGYe/62saoXyo2MK7P27GaLETFKDkseumMWVY40QLbQmmy+1h4e+7+fyb9RhqrQCkJIVz5SUjmDC2F3VWS5sW7olYwa31y2Ky8efiPfw2f0ujmslDR3fnomtGM2Bo86xWncHJ3g/s8Xj4+tkf+fJpb+W0sRcN5+Gv7kKpbryOfbptm+oKRMHtYs5EwXU6nNw54lGyduUydPpAnvvt0Xb/8JxOFy898gPrlh9AKpNy56PnMOOiIY3aCILAz7/t4oPPV1FX50Qmk3LhORlcc9lotFo1JSUlrNuyi82HK9meWY3FfjxgKlSrZvSAbgxLTySjZzxRLSRy7+ig1tLAfCLWYUlJCS6XC4fDQWhoqN+KQPWDm9lqpdJip8LiIL/SQEGlgaJqI4WVNVQYLdS1kA3LH6GaAJLCQ+gRG0F6YjRDusURrJR1eHD3d11WBzz+/m/sPuotIH/J1IHcfel4X9aq9t5vi9XO/J+38f1PW31bumKigrnwvEGMG5mCXEaLg/2JBBO1p1+CILB3ey4/f7OJTasO+aLge6bHcflNExg2tkenCk9r19GVovfnt+t4de67OB0uBk7syzO/PESA5rgb/XRJDNKViILbxZyJgvvFk/P437M/oAvT8tHe19q9butwuHju/u/YvOYIcoWMOx+fzqhJfRoNGlXVZl5883e2bM8BIL13HA/cdZav0PmBnFI++nEdG/bmU/+F1QYoGNk3lpF94xkzuDfBwW0/hxOpmuNvsKkfHHU6HWVlZWi1WqKjoxut1/pbw216XqvdSU55FTllNWSXV5NdWkV2eTUFlQa/bvGGyKQSNColQWolaqUCuVSKADjdbqx2J7WWOuwu/8IcE6JhUEI4U/unER0gIzIysk2RauneuVxuPliwgS9+2wpAerdonr/9HKLDdB1Oa2ky2fhx4XYWLNxBrdGbLSlArWDy+N6cO2OA3zX7Eyk92NFUm8UF1Sz4agPLft3pczf36BvHVbdOZMjo7p0ifh2dxHWm6O1auY8nz38Zq6mOvqN78vzixwjUekW3te+6aOl6EQW3iznTBDdzZw63D3sYj9vD49/dy/hLRrXrcy6nm+cf/J4NKw+iVMm54YHxdO8b2WjQ2LE7j2deXkiNwYpSKefmueO58JxBSKUSjuRX8MGP61m7K9t3zH4p4UwalMTQ3rFIoNH2EwCr3UFOeTWFVbUUVRupMlmpMVsx2RxYbQ6cbjeu+mxEEglKuQyVQk6gSoFGpUQToEIXoCI4KABdgAqVVCBALiUiWEtMeBhBaqVvr67ZbMZgMBASEoJGo2nmcrbW1WF3g9klUFZrpqi6lsKqWnLLa8gtr6G4xtjivQtUKUiKCCUpPITEiFDi9DpiQrRoFFI0Shl6ncYnFC0GatkcFFQZyC2v4WBhOXvyStibV4rLczyALDlMx+VjB3LRqIGN8il3lLW7snnqg98xWe3ogtQ8ffN0Rg9IPSGxsNmc/LFyPwsW7iAnr9L3ereUCGZM6cfUiX0ICQ4EOm8S5Y+mx3Y54McvN7Bw3haf8PYbnMQN906nZ/pf2+LU0WWKzs73fGjLUR6Z/hxmg4V+Y3vz/O+PoQ5U+e5XS991EVFwu5wzSXCdDid3DH+E7N15jJ09gie+/792fc7j8fDK4wtYuXgPCqWc+549h+jEAN99Cw8PZ9mqbD76cg0ej0BqcgRPPHguKUnh1BitvP/Den5ZsxdB8ArjWSN7MXtiH2L0QTidToxGI263m1JTHblGJ4dKq9mXX0phVW2X3g+ZVEKQSkmAUoFcAlKJgEqhxONxI5XJEJBgsTsw19mx2J209QPTawJJjdKTEhlKalSY9/+j9EQFt9+C8Cci9Uk8mlvVDjYczmPxtgOsPZTns4Lj9DpumTaC8T3jcTmdJ+S6LKqo5dF3F3EwpwyAq84ewsUTelFTXdVusWgoPEqlkuw8AwuX7GbN+iO+fdcymZThg1OYNqkvo4antbsKEnRMvFoSZ0O1mfmfr2PhvC04jsUPTJo5gLl3TSEiKrjTXcAN+yGVStHpdMjlclwuF3K5HLVa3SkW5+FtWTw09RkstVaGnZ3B0z89iEwuw2w2U1paislkIioqCqPReMoVeehKRMHtYs4kwf3m+QV89vi36MK0fLzvdUL9RKP648PXlrDgqw3I5FKeeP0y+mTE+gYNQZDww8LDrFhzGIDpk9O597apqFRyFq3dz1vfrfbl950yrAc3XziKpBhvFRiPR2DlzgMs2XmIHQWVVJiszc4dEqAiShdApC6QhMgwovUhaANUBKqUKGUyZDKJ71gOlxu704XV7sRsd2Cqs2Gqs2Ow2Ki12jBY6o7914bT3f6103okgFatICZUR0JEKPFhwSRFhJIcGUq3qDBCglredtJ04A4MDKS8vLxZYgl/IqJSqdq05GotNn7ctJevVm+nyux14aZFBnPTmHRSI0NOyIpxOF289d0a5i/fBUDPpAhuPLsvEcEB7bJwWxI5o6mOFasP8vvyfRw+WuprrwlSMWFMT2ZM6UffY1vLWhO7jli4bYlzRWktn7+znBWLdgOgDlBy1a0TmXxuOuUV/vNxnwgNvwf1k02LxdIlFue+9Yd4eNqz2OscTL9uEvd9dEubqVXPdETB7WLOFMEtySnjhr734rA5efCLO5h61fh2fe7nbzbx35cXA/DAcxcxeeaA41taaky88vaf7D1QjEwq4c6bJzPr7IHkFZXz4pcr2XnEm4ygR2IE9181iYE9vK66KpOVHzft5afN+yiqPu6KVcikDEiKZniPJAYkxxChluGwmDp9K4kgCNicLoxWO1a7A7PNgc3hpLSiAoPBgFQmIyI8HJ1Wi8TtpLSoELfNSmRoMIEBahITEztsERiNRrKzsxv1Mz8/v1HqxJiYGL+Dod1u94mFwWAgKCiIoKCgZtdrMpnIzS/kt73Z/LQzizqnG5lUwjl94pk7cTApycknZDmt3HaU5z79A6PFjkoh49qZg5g9aQA6Xevrpe2xQHPzK/lj5QGWrzxAWcXx70JCXCiTx/UkvVcImiCFX2HoyLNvr8gc2V/Ef1/5nQO78gFI7BbOhddm0H9wt053AdffH0EQKCoqIi4uDolE0qnn2LhwG09d8DIej8CNL13JJQ/MEqOVW0EU3C7mTBBcQRB4/NwX2LJ4JwMn9uXl5U+26we2dd0Rnrzrazwegbl3TWHOdeN879UYLDzwxHyOZpUTFKjkqYdnMWxwCkvW7+Xlr1ZhrnOikEuZe84Qrj1vFHKZlIJKAx+v2Mpv2w/iOOb+DFIpGJIUyZCEcMalp5GUEO9bw23PINlZs/WWistrNBpKS0spKipCKpUSFBREbGxsh8+Rl5dHZmYmarUam82GWq3GarUSGRlJeXk5ycnJdO/evc2c0Ha7HYlEglKpbHa9DQXuYHYen286xO5jSSB6R4Xw8tVnkxQT1eF7A1BWZeLpj5ew7YC3dm2/tBgeumYKPRIjWhzAO/Js3G4Pm7Ye4Y8/D7BxWy72Y+5dqVTC8MGJjB2RwPAhPU5YiDoiMh6Ph2W/7uLjN5Ziqq1DIpEw6dxenD1nIImJ8W0++/ae62StqS546zfev/dzJBIJz//+GEOmDei0Y59uiILbxZwJgrvhl608ecHLyBUyPtj9Gom92g4KKcip4O6rPsRqtjP9gsHc/cR5jSKR73nkO/ILqwkNCeTlZy6mW0oE7/+wni+PRbimxoZy08x0+vdKQVCqeff3jfyydb8vYjc9MZoLh/QkQS1grjUAoA8LQxKsp9haR05lDflV1ZQaaqlzuXAJEqQyKXKplCClEl2AikiNBp1cik7ioW9cLGq3s11Ruv6oqKjgwIEDOBwOZDIZgYGBpKWlER4e3ikWQVPBDQ0NxWAwNLNw/dHw/BaLBYvFQkhISDOLq+n6oMvlYvHOw8zfU4jN5SZCG8jbN5xPn4QTE12PR2DByj288/0arDYnMqmECyf259Ip/agzG5oJ64laoE6nh6O5Fpb+eZDDR8t8bXqmRXLlJaMYM7K738xgnY2h2sJHry1hxW9eN3NStwgeen42qT1br5LU0SxjNpsNp9OJw+FAIpG0K9q6IwiCwBs3fcDvn6xAF6bl/e0vEZkY0SnHPt0QBbeLOd0F12FzcH2feyjNreDShy/g+ucvb/MzFrONu6/8kMLcStIHJfHCB9f4KvQ0FNvICC1vPDeHkNAgHnl3EZv3ecuHTR+WwsXjeyCVyVidU8mXa3dhtXsjQUf3SuamqcMYmBxLZWUlq3fvZVd5NfuqaskxmrG1I21jS2iVCvrFRjGyWzIjkhNIj41C2s5Bq6SkhN27d1NbW4tEIiExMZG+fft2yNJoTWCMRiM5OTk+6zYpKYm6urpma7ht0dpg3vT8JpOJQ4cOUVJr5bMd+ZRb7KgVcl666mwmpp943t2yahNvfLOKP7ceBSBQreCsIUnMntwfl72uXS7Rpn212WzNaiSHhYWxZ18uP/+2izUbs3C5vN+NbikR3HTNOIYPSW0mSi0VXfgrrP/zAP959ldqa6woFDJufmAGMy8e2qIgdtV+4r+Cw+bgnrH/4uj2bHqP6M7rq59B3sVVnk5FRMHtYk53wf3fsz/wxZPzCI/T8+mhtwhoox6rIAj8+/55rF9xgPAoHe98ewsheu/WlFpjHXc99A25+VVERmh564XLkCql3PPaT2QXVaFWynnsummMSo9jT24xry3eRGaZN51jemI0D8waR0ZKHOUmMz/u2s8vuw+QU21odP5AhYLukWHEa4PQSCFOH4rU5SRCH0qwLhiXx4PF7sBQZ6PMZCavsorsymoKak2+LUL1hAUFMr57CtN6pTG6WxJKWctbZSoqKsjP967b1adsTEpK6pTE9/X3tTPWzTpynIqKCgoKClCr1VQbzXy+LYct2cVIJRIeuXAic0b/Ndfi1gP5/Oe7NRzO82ZxClTJmTokmStnDicp7rgV3Z7SifUFAloSnOoaCwsW7mDBwu2+hBoD+yVw502TSUs9nqrRX1nBljwHHcFQbeaNp35m85ojAIyZ0pe7nzgPrZ/8zJ2dMauzKM0t55aMB7DUWrn80QuZ++/LOvX4pwOi4HYxp7PgVhRWMbfnXdjrHDz6zT1MvHR0m5/58av1fPTaUuRyGa9+dh29+iUAYK1zcN+j8zh4pITwMA1vv3Q5dsHNnS//SHmNmfCQIF6/93y6J0bwyYqtvL90I26PQGhQAP933jjG94hnf3Ep3+w+wMrMPN/+UYVMSr/wUDJiIuidGIdUraTUbKGgupqK2lpsLhcyqZQQjYbIYB0RgUEkhYbQPSwMLVBaWuotyQcY5UoOV9WyJa+QTTkFWBzHi9eHBgZwXr9ezM5Ip0dk84GsMyyMzhg0OzOgpek1RURG8dbSLSzYvA+A284ayc3Thv8l16XHI7B8y2E++mkDeaUGAJRyGdNG9OKSqQPplRzVZiBY/dYytVrd5nXXGuv45ofNLFi4A4fDhUwqYc6Fw5h75WiUCjlHjx4lNze32dp4ZyAIAj/9byOfvrUMl8tNTIKeJ9+4jOS0qGbtOiNvd1dEDq/+fgP/vvQNJBIJr616mn5je3f6OU5lRMHtYk5nwX157jss+2I1fUf35I01z7b5oz+8t5D75n6M2+Xhtodnct6lwwFvntxHnv6RLdtz0GnVvP3y5dg8bu585UdqzTZSYsN46/4LkCmkPPDlYnZke+uUTh/Yg4cvnEh+RSWvrljL1uLj+WwHJcQyPCmGanMtB2qqOVBjwN7BrTqhajU9g4MZlRBPf62W3g2ihx1uN9vzi1h+KIslB45QaTm+5WhATCSXZPRlVkY/FMes3s4Qur86aAqC4DdAq6V9uO05nr8kGu8v3cR//9gEwOVjBvLg+RP+8pqoxyOwavtR/vf7NvZlHd/q0zc1mqlDUugTryEyIqxDW51ao6zcyLsfr2T1eu92tNTkCB5/4BwCVa4usXAbcnhfEc89MI/yEgMqtYK7/nUek2f+NW/ByYwcfuW6d/nj81XEpEbxwa5XGqV/PNMRBbeLOV0FN3NnDrcNeQhBEHh70/P0Gtb6LN9itnHHpe9TUljDmCl9eeyVS3yZj15/9w9+/X03apWCN56fg1Qt4/aXfsBktdM7JYq37r+Q3Ioa/u+LRVQYLQSplDx20STG9E3h9RXrmL9zHx5BQCqRMDwugrgoPdvKy8isrm7UB6VUSkJgIDFBQaRERhKu0xIgV+AWPNhdLqrr6igzm8mpqSGnuganp/F6b0ZkJJdlDOScXr1QyY+vT7k8HtZl5vLdtt2szsrDc+ynEqPTcP2oIczOSCdAcbwwQHtq3fpLKQit7xtti/o1V4PBgEajQaVSkZiY2CFxau/A/e3aXbzw00rAOzH69+VnoZT7X9PriBgIgsDerBLmL9/Fii1HcB1bk1cr5YzsG8OkjGRGDep1wpOIpqzZcITX3vkDQ60VtUrBw/fOoFda8Amv4bY3XWRtjYUXH57Pzs3ezGkXXDmS6++ehlxx4hm+ThYWo5Wb+v8f5fmVzLp9One8ff3f3aV/DKLgdjGno+AKgsD9k55iz+oDTLxsNI9+fU+bn3n1XwtYvnAXkTEhvDfvVl/t0Pk/b+Odj/5EIoF/P3YBkXEh3Pbi9xgtdvqnxfLm/Rew5mAO//r2D5xuN92iw3jj2nM5UFHOv5esouqYZdkvKhSNRsnG8nKfO1kulZIeEsygsDCSlUqC3W5CQ0Kw2WykpaWRlJTUYn8ra2pYe+gQmwsK2V5ZSU5dnS8TVFhgIFcNHMC1gwahVamOf6aykkP5BawpquDnA0eptXtdzvrAAK4alsFVwwaiVavatFRNJhNZWVlUVVUBEB4eTmpqaocsNLvLxe7CUrbnF3G4tIz8mlpqrHWY7Q4kgFzi7Vf36Eh6hIWQFqSmT3xsm5mB2up7Q/Fcc6SQf/+0Gpfbw7DuCbx+7TnoApqv8Tc9ZnS0Nw9yW2JZbbSycO0+flm1l8Ly41nDeiSEM31Ed84a2YtwfUiHhbbpBMDpkvDca4vZtjMXgBuuGsuVc0ackIB35Nm63R6+/mAl33y4GoC+GYk8+vIcwiL++Ukkti/bzcNn/RuJRMLrq58mfYzoWgZRcLuc01FwNy3azr/OexGlWsFnh95qcwvA+j8P8Ox93yGVSnj5k+tIz/AK3baduTzwxHw8HoHbbpjIqFFp3PjveVQbraR3i+Gt+y9g/sa9vPnbOgAm90vj4Qsn8PKKdSzadwiAGG0gMfpAtlVWUG+P9o+K4vyePegXEAAOh28gr6qqQqJWYqyrIyEpie7JyWgUKuR+LJT69VKPx0Nubi5otGysquLPsjLKrF6RD1WruX3kCK4cMACFTNZIOFwCbKs28tWOfRQZvAkXQgLUXDdyMNNT47HW1ra4FltZWUlWVhYul3evqFwup1u3bm2u15rtdpYfzmL5oSzWZeVS53S12r4pScEapnVL5IoRQ4gJD/Pbpq115KbiWWB189i8FVjtTlIi9bx9/SwSI0IaHbNh8JXNZkOv1+No8NzasriNRhNbD+SxbGs263bn4DwWbRykVnDOmN5ccfYwgpRtC3hL1xATE0NAYBD//WQl83/ZDsDVl47kuivHdFh0T+TZrltxgNef/Amr2U5ouIYHn7uIjOEdiwL/O5JRvHb9eyz5bCWJveN4f8crKFXNyz+eaYiC28WcboLr8Xi4ddCDZO/JY86Ds7jhxStbbW+otnDzRe9QW2PhkrljuO7uaQCUlNVy8z1fUmusY/rkdG6YO5Ybn/ue4opaeiZF8t5Ds/lk5VY+/dNb+Prq8YOYPrQXd/2wiCKDEakE+sWFs6+2Cvsxi3ZkXBz3jBnDkPg4Kioq2JqXzSGHmb1VpeTUmSits2DzNF7HlQAxQVpSdHoGRMQwNCqekdGJOOvqKCkpobKykqKiIgIDAwkICKB7z57sMpl4e+Mmso65rHuEh/Hc1KlkxMQ0G9TcgsDv+4/w/trNZFV62+tUKmakJTCzWyKhgQHtsnBTUlL8Wn2CILAhO5/vd+5l5ZHsRlV/IjSB9IuKID5QRWpkOCq3C71OiyBAhcFArcNFqbWOI7VmdhaV4jzmng0OUHPDyMFcPXwQ6iZbO+rFyOVy4XQ6CQkJaVQ+0J8gV9o93PnJL5QZzOgCVLxwxQzG9knxHbNp5G/9muiJ5DC2u+CPLUdZtbuQsmoL4M1pPTo9nnNGphAbrjvhUosA3/+0lXc/9rrKr7tyDNdc1r7iHK092/Z4L4ryqnjmvm/JyypHIpEw5/qxXHHzBN92uvac92SnWzTVmLm+zz3UlNVy9VOXcNUTF3fp+U4FRMHtYk43wV321WpevuYdgoID+TLrHXQt1JOt54WHvmf10n0kdYvk7W9vQamU43C6uOOBbzh8tJSe3aN5+dmLuevVBRzKLSM+MpgPH5vDx39u5Zt1uwC479yxhIQF8sSi5dhdbiK1gUgDoNDiHVC763TclJ7O1PS+5NktLMjaz8Lsg1TYmudOBq/IyiRSXIL/PbkahZLJCd24KLEnUQ6BqipvQn273U5CQgIRERG4PB5+2LePV9euo8ZmQyqRcNfIkdw2fBgyPxaz2+Nh0b7DvL92MzlV3vW7AIWcC/v1Yu6ooSToQ4Dja3zV1dXU1dUREBCAXu/NDV0fMS2TyVAHh7A8u4B5O/aSe+x4AKnhemb06c6Unmn0jo5otj2mPoK3vLwcpVJJVVUVUVFRyAODWLT/MAv2HSGvxuueTQkL5aVZZzEg/nhQkC/tZnU1NTU1KJVK5HK5bwA3mUwUFxdjsVjweDzExcURHR1NpcnCPZ8uZG++N+Dp6gmDuXPGKFQK+V+ycJuKY2BgoDePsMvF3uwqVuwsZHemNwWoVCphwoAErp81nO4pCX6PB21vv/pq3no++WoDAP964BymTOjT4rGaciIl/+qx1Tn478u/s+Qnr5XdrVcM9z97ISnd2040cjK2Bflj1bz1PHfZmyiUcj7c+zrx3Ts3wOxUQxTcLuZ0ElyHzcHcXndTnl/J9S9cwaUPnd9qe58rWSblzS9vpEdfbwaqN99fzk+LdqDTqvnwzWt44/vVrNqeSYg2gE8ev5R5W/by5artSCTw6IUTKbAY+GjTTgQE0mLCyLEYcLjdaJVKLk9J5tzu3Tkk2Pg6ax/byot85w+QyRkUFk1GRCyDYhKIkCnx1JpQCF5XXnhUJG6lgnyTgaOGSraXF7O2KIdSq9l3jPTQSC6P6UaGLtzv4F9TV8ezK1fyy0Gvi3t4fDz/OWcm4UFBvjYN3XlyhYKNhaV8sH4rB0srAO8EYGhSPOf168WQ2Eicxlq/dXUzC4s4WGtm2eEcdpVX+rJqBSmVXDCgDxcN7Evv6Ai/heobWsYmk4kDBw5QXl6OXC4nNDSUgIAAVCoVSKTsMVp4e902KswWpBIJd4wfwa1jhzdK8tHSAF4fCV1YWIhMJmuUqtLhcvHar2v59thEKjVKz1OXTKVbuPaE1nChfeu/W/Zm8fHPG9md5b3fgWoFN184mounDKDOavXrNWjJ/Vp/vvm/7OWPVVmolHLeefUKenRreV9wUFAQFoul09y5a/7Yx9vPLcRUW4dUJuWCK0Zyxc0TCAxStfiZjlSJ6kwEQeCxmc+zdckuBk3tz4tLHj+j8yqLgtvFnE6C+/Pbv/Pu3Z8SER/GZ4ffQhXQ8g/cYrJx44VvU11hYs51Y5l711TAG/X5r+d+BuClpy5iV34pn/66GYVcxnsPzWZ9dr5vS8m/Lp7MluICft1/BAGBhAgtuVYTAIMiIrinXzo5DjNfFR3hcK3XRaeQSpmW2J0LuvVlbFwyKtlxl1t7ZvkeQWBnRTHfH9nDT9kHcBzbSjQqIo4nhkygZ1Ss3wHjpwMHeHL5CixOJ/E6HR9feAHdw7zroC0Ndmsyc/lyy07WZeU1OlasJpDE0GC0chlKlQoHEg6XVVBQU9uohF/fmEguHdyfmek9CVIq23p8PoxGI3v27KGqqoqQkBAA1Go1CQkJvvsiD9Lw7yUrWbjXO5GY0rMbL50/HY1K6bsmf5ZsS27lhvd51f4snvl+OZXHqjedndGTGyZmEKJWdHjgb8/aZH2bbQfy+HTRDg7ne/NZ906O5PoZfYkIVrc7Oru+9FxERAQvvLmC/YfKSYzX8/F/rkF1bI2y6fNuK+nGiVBVYeLdFxax4c+DAISGabjylomcdf4gv5HM7UkO0lVu5uKsUm5Ivw+n3ckTP9zP2AuHd/o5ThVEwW2BVatWMXHiRL/vbdy4kREjRrTrOKeL4Nrr7FyddifVJTXc/f5NnHPz1Fbbv/P8IhZ9v4W4pDDe//42lCoFFZUmrrvjM4wmG5deNIw+A+N54K1fAXjyxunUyVw8M38FAA/MGseOylIW7z+CRCKgDwukrM6KTCLhgbFjGJsQyws71rK6zJu9SaNQcm3vwVzdO4PIQI3fPnV0HavKZuX9PZv44uAOnB4PQXIFTwyfzJwe/f22z66u5oaffibPYECrUvHmtKmk6/Vt5ifedTSLNXlFrCssJafG2Gpd3B7hesZ3S+KCQf3oFuE/sKkpTevGVldXk5eXhyAIOBwOAgIC0Gq1qFSqZvdlwa79PPnbChxuN72iIvjwsvOJ0mlatWTbc59rLTZeX7SWn7fsQxC8ySxmj+jHtROHEB3avkH/RAKBPB6Bn1fv5e15a7DUOVArZdxy/lAyUkPbtVbcsBCARKLkmddWUV1j5eJZg7njpslA84ldfT3arnDnbl5zmP++8jslBd74gNgEPZfdOJ6JM/q3uYXoZLqZP//Xd3z93I9EJobzyYE3UQe2PFk/nREFtwXqBfeuu+5i6NChjd6bPn16u7+Yp4vg/vD6Qj64/0siE8P5/Mh/UChbjjg8sr+Iu6/8EEEQePHDaxk4LBVBEHjwyR/Ysj2HHt2iePShc7ju2W+x1DmYMzWDoYOSuOuTX/EIAjdNHc4RcxVLD2YilUkI0MqpdTrQKZW8OnUKVVIHT29egcXlRC6RMrfPYG7rP4JQdesb7E80UjPLUMUDa35jR5V3/fHKXgN5avgUv9HN1dY6bvnlF7YXF6OSyXhqyGB6Hku070/Qmg56So2WLIOJguoajA4XgQFqgpRKUsJC6RkVTrgmqNk526KhADocDurq6jCZTFitVtRqNd26dSMiIgJnC8Xk9xSVcut3v1BpsRKt0/DR5RfQIzK8Vbdye+/zgcIyXvtlDVuzCgFvgNO0AT24fGwG/ZOiOxxN3FoS/4b9Ka828/h7i3zru+eOSuOuSycQHOz/N1p/rTqdjrKyMrRaLdHR0ew/VM5DT/2IVCrhgzeuokda9EmxcBvidLr4/cftfP3BSmprvF6DqNgQZl8zhmmzMlCp/f9WOzoB/SuRzjarnet6301FQdUZHUAlCm4L1Avu/PnzmT179gkf53QQ3DpzHVd3uwNDhZH7PrqFGddPbrGtx+Ph3qs/4vC+Iiae3Z+Hnvfeu4VLdvPq20tRKmS8//pVPPPFMg7lltE/LZYHr5vE1e98j9XuZNbQPtjVAr/sPYhMLkWhkWF2OojXanntrKl8krWL3/O8+WaHRMbx3Khp9AxtuYSbPzo6cJhMJoqKi/m24DBfFhxCAMbGJvPBpPMJVDR35dqcTq7/4Uc2FRejlsl4cshghicktFhjtqvdeg2FsaCgAEEQCAwMJC8vD51OR3R0dJslAQsNtdz4zc9kV1ajU6t4b8559NIHd0rfBUFg89ECPlq+ha2ZBb7Xe8VFcOHwdGZk9CLYT47u9lpoLd1jl9vNu/NW8/XSXQBMGdaDZ26egVze3DJs7Tk98/JCVqw+SHrvON55xVu8oyvXcFuizmpn4bwtLPhqA4ZjEdqhYRrOv2IEM2cPRaMLaObtAHA4HCe8Xaojz7s+7aM6UMVnh98iPK59HprTifbqwV8rh3GKYzKZfPvmzkQWf7QCQ4WR2LRopl0zodW2y3/dxeF9RQQGqbjh3rMAKK808f4n3q0UN1w9lqXbDnMotwxdkJpHrpvC/335G1a7k6Hd4lGHKvll70EkUpBppJidDvpFRfHGrLN5ePsKfs87gkIq5aHB45k34zJ6hnr3ANevR5WXl5OVlUV+fj4mkwl/88T6thUVFT43oT/qI0pLS0uxWizc1Hswj/cYglomZ21xLtcvX0Cdy9nsc2qFgremn8WQiAhsbjfPbt9BpSAQHh7eLCK1vj5pRESEb223s6m3rGtra1Gr1ajVaurq6ggMDCQuLg6Px4Pdbm/1GPEhwXw7dw4Z8TEYbXbmfvUjK7IL0Gq1yOVytFotQUEdt74BJBIJI3ok8slts5l33xWcO6Q3SrmMQ0UVPL9gJZOe+pD7Pl/Iyn1ZOBtse2p4XTKZzBv0xfHnVllZiclkwmaz4Xa7CQ4O9tX8BZDLZNx9+SSevHE6cpmU5VuO8Ph/F+NqcI56WntOt143AbVKwb6DRazdcBSJRIJWq/U9b6lU2ujfXRU0FBCo4pK5Y/li8X3c9vDZhEfpqKky89l/lnP12a/z+dvLKSmq8H33S0tLkUgk7e6X3W73ex/by7iLR9J3dE9sVjtfPDHvr1zqac8Za+HWBxfIZDLGjh3LK6+8wpAhQ9p9nFPdwnXYnVyTdgeVRdVtWrcWs40bZv2HmiozN9w7jdnXjEEQBB59ZgEbtmTRp1cs118/jttf/gFBgBfvOIef9xxk1f5sYkN1XDihP6+tXIcgEVAFK7A6nWTExHDXuBHcuXohtQ4bUYEa/jvpfDIiYhudu97akcvlZGZmolQqCQsLIzIyEqVS2WgG31HLqGkB7zKlhFvWLsLicjI2NplPp16EQtrYKhIEgSqDgZsX/cau8nIiggKZf9llJAQHd86D6QD+rJqamhoMBgMKhaLRtp62sDldPPjz7yw9mAnAnD5pXNKnG8oOHKM9GCx1LNp+kF+3HuBQUYXv9dCgAM4a2IPzhvahT3ykX8vxRFy663dn8+B/FuJ0uZk2vCfP3HJ2h/I/f/LVWr78biMJ8XreeeliXC7/7vmuoKWAqMKCIrauzWblooOUFHi3egUEKhk7vQezLh+Gw9m+Uof1dIY35sDGw9w9+nGkUgn/3fUqKemJHb7eUxnRpdwCGzZs4PXXX+fss88mPDycAwcO8Oqrr2KxWNiwYQMZGRl+P2e32xvN/IxGoy/681QU3MUfLeeNmz8gLDaUL7PebTVbzBfvruDbj1YTlxjGf3+8HYVC7otKlsulvPPqFTzywWKKK2o5d1xfUrpH8PLPq1HIZPzfReN4dtkq3HgIDFFhctgZEB3N9SMHcd+6xdjdLjIiYvlg4iwCPPgdZIuLi8nPz6ektAR5VABV1GJV2nHJPHgkAjGhUcTrY9HZApBVulHIFI2CfZrS0rqdRqNhW3kR1/wxH6vLyWU9BvD8qGn+q8/YbFw273sOV1bSPSyM+Zdd2igdZGdwImtrf2U9ziMIvLZiHR9v8CYlGRIXxR2D+tA9If6Eg25a68/hogoWbj/I4u0HfZHNAKmRoZw9oBszB/cmNiLM177phKq9lYLW7srmof/8isvt4eqZQ7njkrF+++fPFWuxOrjs+g8wmmxcd/kghg2KO3kJJtqollRTYyD/qImF32wn+4g3DkGjUzHj4v5cdOU4QkLbNwnsrGxVT89+lXULNjNq1lCe/unBDn/+VEYU3A6QmZlJ//79GTduHEuWLPHb5qmnnuLpp59u9vqpKLhul5u5ve6mJLuMW1+/lgvvmdli2+pKE3PPeRO7zcnjr13KmMl9qLM5uPqWTyivMHHlJSMwytzMW7aT6DAtT94+gxv/+yMut4dbZ4zg0507qbXZ0ISqqHXYSQ0N5fZxw3lg/WKcHg+T4lN5d+IsXHU2/+txHjercjaytGANBdIy7LLWlwBkyEgRYhipHcCk5FEE64KbDR5tzehXFGRyw/IFCMAzI6Zwde9Bfs9VajJx4TffUGa2MCYpiY8vOB+FTNZpA1h7LI/OTu0nCAJfrt3Ea2u3YHd7CFWr+Ne0ccwcmH5Cx2vPNbjcHjYdyefXbQf4c28mjmOuX6VcyowBPZg7ZRipUWF/yRL7ff0BnvzQ+9t+7LqpzBrfr1n/7HY7EokEpVLZ6Phff7+JD79YQ2R4EK//exZms+mkJJjw57HxV5AiKCiIdcsP8Nnbyygp8CbeSOsdw52PnkvPfvHtPt9f/S7lHyrixvR78XjaV/jkdEIU3A5y2WWXsWDBAqxWKzI/BcdPJwt37Y+beObi19CFaflf7nutFpd/94VFLJy3hV794nnjyxuRSCR89vU6Pv9mA9GROh56cCa3vjQfQYDX7p3F63+sJ6u0ivF9UykRLOwpLkUbosbgtBEeGMjDU8by0IYlODxuzknpxRvjZiKXSMnPz6e0tJSwsDAcDgeh4aHsdB/h56JlVNiPZ1ySC1JCXTq0LjUKtwy3042gkuBSeyiXGqjj+DOKloVxWcJMxsYOazNpRNOB5cO9W3h+2yoUUikLZl5Jv/Bov/dnb1kZl8/7HqvTyZx+/Xhu6pRO2wfZHhf5XxEhf4kcysrKKCgoIM9g5P19mRSZ6wA4J70nD04dR5S2Y2vRHd2ikltYzM+b9vDnkWJyK48XLpjcL42bpw0nThdwwoLw4U8b+PjnTSjkMv5z37kkRekabe0qKPAGdjXctxweHo7VamfOdfVWbgYjhyb9bRZua0ktXE43i3/cxpfvrsBssiGRSJh9zWiuum0SSmXjVJFdtX+3vrTniHMH8+wvD3favfinIwpuB3nwwQd55ZVX2i2gp/Ia7n0TnmDvmoNc/uiFzP33ZS22Ky2q4fpZb+F2eXjpo7kMGJpCeaWJK2/6CLvdxZMPncfny7dxKK+cGaN6E5ag4+PlW9BrApkwPI1vt+9BESCjTupCIZXy7+lTeGLbMqwuJ9OTevDOhPOQS6WYTCays7OpqKjA7rBTFFDFBtV+agVv0FOQNID+yu5098QTI4QRrvduXcnPz8fpdBIbG4tSqcTtcVPirGA/uWSqi6gTvOI7XD+A29OuAJun3YO1IAjc/OfP/JF/lERNMF+PPY+QII3fz63IyuKWX7xbnx4eN44LUpKbiUxYWFiXFBf/K3su/a2JFhUVUVNT4z2PTMbSkmq+230QjyAQoJAzd8RgrhkxiBA/1YE6cg0tTXoa5nQ+Ul7L8iMlrD2cR/0oNSOjJ3fPHEOsvuO/OUEQeOA/v7JmRxaRIYE8fe0o5FLBt7WrJQsX4Kt5G/n4y7XEx4bw3quXotO1HozUGZ6HEz1GTZWZj15fyp+/7QYgpUcUj79yKXFJx6OH23JXn+j+3YLDRVzf514EQeCDXa+S2r/lyl2nE2KUcgfJzs5GrVZ3STTpP4nMXTnsXXMQqUzKubdOa7Xt95+txe3ykDE8lQFDvUnpP/96HXa7i3594qh1OziUV44mUMU5E9P5/FhBgjnjB/Dt9j0IUgGb1OsC/r9xo3ltz1qsLiejY5J4a/w5vv2udrsdhUKBJkLHEtUWflduplYwE+hWM8GdwS1cwDkBYxkUmU6fXn1ITU2lT58+9OvXj8TERHQ6HYGBgSgVSqJl4Yxy9OU25WwmBAxGJpGxuXo39+18gR0Fe5tFMDeNfK2ff0okEl4eM52ogCDyzbW8vnN9i5HPk7t149Hx4wF4cc0alucXNIuybW8EdUPaE+msVCqx2+0UFBQ0WodsD02jU81mM1Kp1JcmUgbcNLQ/r00dTU99MHVOF++t3czEtz7mpWVrKDTUtnmOlq6hpftR3z4yMpLJg9N5+8YL+PGBq5ie0ROJBH7feZjzXvycj5ZvaRTZ3B4kEglP3HAWUXoN5QYrX/95xJcCMyIigtTUVFJSUvze7wvPHYQmSEVhsYHtu4vaFL4Ted7++nsiUdChYd7KQ0+8fhnBoUHkHCnjris+YMvaI742/iKTW4oO7wgJPeMYO9ubPOjHNxd1+POnO2ec4FZUVDR7bffu3fz6669MmzatQ0WnT0UWvPUb4A3lb22/XFW5kWW/7ATg8psmAJCbX8Xvy/cBcM0Vo/lggTfR+/XnDeftJetxeTyM75vK/P37ERBQaRUIwHm9e/JbySFKrCa6Bet5b+IsX2pGQRBwOp0cNufwjul7CtWVSAUJA23dmJybTpophuKCIq/1e8wCkUql6HQ6evXqxcCBA0lKSkKv16PT6UhLSyMyMpKo4Aiu634xL/b7P6LU4VQ6a3i/Zj4FzlLMZjM2mw1ofWAMUQXwaD9v1ZifS7PZVJRLdXW13y1J1w7KYO4g71rvk6tXk+1yNRq4T2TrRXsH3PrXO2pBNR1gNRqNb09xaGgo8fHxyOVyUoI1vH/BWTw4ciBpYaFYHU4+3bidKf/5lOv/t4Cf9xzAfKxGcHuvwW6343K5UCgU1NTU+O6rv/Zp0eG8fNXZfHvv5QxNS8DhcvP24vXMef1rjhQ3/z23hi5Izb+um4xMKmHdnny2Hi5Hr9cTHh6OTqdDp9P5vd9BgSouPt+7i+GLbzfgdvsvkFHPX91q0xmMmtSb976/jT4DErCYbTx519cs/sE7KfYnrp21lW32fecC8OfXa6kurWmj9ZnF6a0ufpgzZw4zZ87kueee46OPPuLee+9l1KhRBAYG8uKLL/7d3etSTDVmVs/ziuQFd53datufv9mE0+mmz8BE+g1OBuCreRvweATGjOzOzpxiqo1WEqJC0IYHsiu3hAClgpDIQIoMRtQaBVaXk8TgYHR6FbsqStApVXw65SKCVcfdkWazmTUVW/mfcwkWSR0hHg3nGUfRqzIOlUzpEzeNRuMbuOqt0vpSaGFhYej1euRyOUajEY1GQ3R0NFqtljRtEq8OeIhu6gTsOPjU+AtZtXm+/dcNB0aXy0V1dXUja3dSYhoT9bEIwIdFh6msqfZrrUgkEh6dMJ7zevXC5fFw7x/L2Gs0+gbuhgOcVCrF6XQ2s6ob0pLl3RSHw4FSqSQhIQGlUonD4V/4/B1XEASio6N9A2xUVBSxsbEkJibSs2dPoqOjUau9+YiNRiNjk+L49qoL+eDSWYxOTUQA1mXn8dDPSxn56n+55duf+X7HXkqNplb7AN4B3+l0kpvrncTUr+G3tsLVJz6Kj2+9iBeumE5oUACZpVVc/ua3fL1mZ6ufa8rQ9FSunOGdHH35x36szbdc+2X2rCFoglTk5lexfPXBNq/vr1qLnUFYhJaXPp7L9AsGIwgC//n3ryz4aoNfcT1Ri7opvYd3p/eI7ricbv74YnUnX9GpzRknuOeffz6VlZW8/vrr3HbbbcybN48LL7yQbdu20bt377+7e13Kn9+sw2FzktIvkd7DW44gtJht/DZ/KwBzrvNuoSgsqubPNd6E9xfOGsQ3S7ylxK4/fyRv/74egFkj+/Djrv14pAIWwYkEuHxIP744uAOAV8acTZIutNG5fi9dw3empXjw0FuazJWcRXJQHHq93rc2K5fLsdlsSKVSVCqVr/ZoZmYm+/fv9+UPbigeDWfnGnkgd8dfSbw0ErvEyW+qjdglXmFqODDa7XZKSkrIysoiKysLk8mERqPhnj7D0MrkFDrr+L2qsEVrRSqR8OJZ05iUnIzD7eaWX35l0SHvPWs4wOl0OoxGY6vuxva6JP0N7K2JdcPjlpaW+o5ht9uxWCxoNJpGA27TgVmr1TKhRyqfXnkRy+6Yy53jR5KsD8XhdrPyaA7/WrSc8W9+zDnvf8nzS1ex8kg2Zj/3S6PREBISgkKhICAgAJvNRlFRUbtcr+N6xPPJDecwuofX2n3p51U8/L/fsTnal8RGIpFw84Vj6J0ShbnOwQufLWuXYGuCVFw+25ug/9P/rcPhbPl8JyPxSXtRKOTc/cR5XHztGAA+fG0JS37a0aVJO86+YQoASz79s0OTodOdM05w77rrLjZv3kxVVRVOp5Pi4mK++uor0tLS/u6udTnL/7cGgOlzJ7X6A1uxaDdWi52ElHCGjvEK83cLtuLxCIwcmsqWw4VYbU56JkVSbrdQZjATHaLliLEGl+AhQOtdR5zdL51PD3uF+epeGZyV1Fjkl5dt4NvyxQAMlvRiums4IYHBpKWlodfrCQoKIiAggKioKJRKJTqdDo1GQ01NDVVVVVitVvLz88nLy2szu05IYDDXh15AmDSYWsHClxULEQSh0cCoVqsxm824XC6qqqqoqalBIpGQGh3DDSnebTHfFB2l1tPyQOuoq+Pevn0YGxONy+Ph7t8W8+q6dQjgG+AUCgUej6dVd2N7XZL+BvbWxLrpcWtqaloV9tasnkR9CHeMH8H8qy/knenjuKxvGj3DQpAARyuq+GLzTm757heGvfw+l3zyLW/8uZ6NOfk4XC4kEgl6vZ7AwECcTicajQapVNqm67X+2pxWE/dM7Mc9M0Ygl0r5fedhrn1nHpVGS6ufr0cul/HUTdNRKmRs2JPLorX72/W5C88bRJg+iNKyWhb8uqPFdp1lLfqjvd6Ppv257u6pXHr9OADeeX4hOzdndVqfmjL+kpGoApQUHS0ha1dul53nVOOME9wzlfxDRRzafBSpTMqES0e12E4QBJ91e+6c4UilUmoMFpau8K7dnn/uIOav2AXAFWcP5rNjgVKTB3dnY04+UoUEi8uBPiAASZBAidVEkjaER4ZOaHSerdV7eT/zGwBGKfozRToUpcLrEs3MzKSiogLrsZqmOp3Ol6bQZDJRW1uLw+HA5XL5RLOhKPkbkDQaDd3iUrg14VLkEhk7jQdZVrah0cAYGBjod2DUaDRcO2AEfUPCsbpdvHlgS4v3z263IxEEnh03jgtTvIFm72/ewpzv5nH4WPyASqVCKpVSWlqKxWLB4XBgNBob9bc1l2TD6zObzc2s0tbEuulxAb9rqR3B4XAQrw3kppGDeWnSCH677hLenD2TSwalk6QPwS0I7C4q5b/rtnDtVz8y7JX3ufnbn1l0OBt1aBihoaG+bUltuV4brv0aDAYm94jlg1suJCRIzYHCcq5+ex6FVYZ29TslNoybLvD+Fl7/ZhVl1W27wgPUSm642itaX363garqli3yExHG9nCiAVkSiYRr7pjMxBn9cbs8PPfA91SVGzulT00J0AQwdIY3idDq+Ru75BynIqLgniH8+c1aAIacNQB9dGiL7Y7sKyIvqxylSs7kmQMAWPzHXhxON716RJNTWYPZaicpJpRKex01ljri9Dq2lRQjICAN8H6lrhjcn3lH9wDw/KizCJAfz2RVYC3l9cOf4kFgTPAgZmrGkpiYiFwux2q1YjKZsNvthIaG+tb56muWZmdn43Q6fcIYfCylYkNR8jcg1Qvr4Pj+XJk0C4Cv8n6m1nl8kA0NDSU8PNxbxD48nNBQ732SSCQE63S8NPZsJMDCnENsKT2ejL8h9YJmNpm4Mb0vz02cSJBCwY7iYs7739c8tmwZtR4POp0Ot9uNVCqlrKyMnJycRv1tzSXZ2oBbH4RWf7/q3fD1ND1uaGgoDoeDvLw8X6rLjkbUNhXxyGAdM/r04NlzpvLHHXNZeff1vDhrGuf160V4UCB1Therjubw1OI/mf3NLzy3dT9ryw2og0PadL3Wr/3W97empoZeUSH8767LiNPrKKyq5Zq3vyenvLpdfb9ixmDSu0VjqXPw3Kd/+ESxNbGcPjmdnt2jsVgdvHcsl7g/OiNS2R9/JSBLIpFw71Oz6N4nFrOxjrefX9RlLt/R5w8DYOuSnV1y/FMRUXDPAARBYNWxYKnJl49tte2Sn71ustGT+xCkVePxCCxc4t3Pd96MgcxfvguAS6YM5Ks13rbjBqSyp7gUmUqK3e0mNTSUbYYiPILA2ck9GR17fC+ew+PktcOfYPM4SNd157rEi5DL5dTW1vrKywG+wVSj0fgiR6urqykpKUGr1RIREUFycjIDBgwgMTGxkSi1NSCdEzuB5KA4zC4r3+Qt9L2u1WpJTU2lW7dupKamNtvzmh4ezaU9vJOQJzevwOlx++5vS4FIczIGsnTutUxN64bL4+G7PXuZ9MmnPLB6DZsNtSiDQ3A4HNhstkb9bc0l2dr1mc1mjEYjMpkMzzFhbyhiTY+r1WoJDQ1Fo9GQlJSEQqHocERtW+uVscE6LhjQl1cumMG6+27il5uu5J6Jo+gT6Y2SP1BRzXtbdjPj42+5b8FituUXtSgC9Wu/9f2t3xaVGBHCl3fNIS06jAqjhRve+4G8iuYRsk2FVCqR8OSNXtfypr15LDzmWm5NLKVSCffdPhWJBJavOsjmbdl++9pVkcp/NSBLqVLwf89cgFwuY9OqQ2xceahT+tWUwdO8v5WsXbnUlLe9hexMQN52E5FTnfyDhRQdLUGhlDPi3JYLNDidLtYu8w4402Z53UF7DxRSUlZLYICSkAgNheW1aAJVaMMCKakxERoUwBFDNQICEpUM3B7O7tudtw5sQC6R8siQ8Y3O8U3eQvKsxQQrtNzXcy4hCh1yiQy73U5dXR0lJSW+wTYwMJCEhARKS0spLi72ralmZmYSGxvbYiactgYkmUTGjamX8NjeN1hetpFZcVOIDYj0iVFr2XXuHzyWxbmHOVhdzif7t3FLv+F+M/Q0TBgQo9Xy31mz2FpYyH82bmJDfj4bi4rYWFTEG3v2EBcYSKpWS1J5OZGBgaQJAmF2O2q5HAkSBAScbjc2l4s6p4tKYy3FFZVYsrNxeASUxSXI5HKkEglOux0cdqKCgwkSBGR1dUQIAvJWthTp9XrsdjtOpxO5XN6uAdxfUob2ZCWSSCT0io4gLkjN0AAZOaXlHLTY2VBaSU6tmcX7j7B4/xEGxEVz85hhTOqR2miy0Vp/I3QaPrntYm54/weOllRy/bvzeeuqs0iM1PuicP09q6QYPTddMIp3vl/LG9+sYnjfJGTCcbGsD6hreH29usdw0XmD+eGX7bz01u98/t516LSN6zZ3VaRy/QSn4b3vKMlpUcy+ZjTffbKGz99ZzvDxPZHJOtf+Co0MJrF3HPkHizi8JZMR5wzu1OOfioiCewawaZHXEh04KZ1AbcvF3HduysZsrCM0XEP/Id71x6V/egV4wpieLNnsnQlPH9mLX7Ye8L7evxvfHdyHIAe720VCcDA7DMUAXNy9HwnaEN/xcyyFLCz+E4Db064gVOl1B9eLnNlsRqvVIpPJUKvVREZGEh0djcPhoLq6mujo4+kV660yf/gbkJoKRG9tNwaHprO9Zh/zC5Zwd4+r23Uvw9SBPDZsIg+u+503dq5nelIPNA53q4NzPUPj4/nq4tlkV1fz68FDLD16hCNV1RRZrRRZrawtK/M23LW7XX1pH1tRymR0DwsjPSqKgTHRDI6NI1Uf6hOyExnAO5oGsOn9r486jw8LJURlZkZqPNKwCH4+cJRf9hxkd1Ept837lYz4GB6eNp6B8TG+YwUFBfm+L/V7h+sJ1QTw4S0XMfedeeRWGPi/r5fy3Pmj6JGShFarbWR1NnxWV8wYzKrtmezLKuHfn/7BczdPbVMsb7x6HFu255BfWM2rby/l6Udm+S3R+FeE0R/1E8P6ALmqqqpmmajak6Xq4mvHsGj+VvKzK9iy9ggjJ/Rqdx/amwWr59A08g8WcXR7tii4iIJ7RrBjhXctdeh0/5WQ6tm02iuooyf2RiaT4nK5WbvBm51m/JiePPShN2nGyIEpfPPFrwB4VCAgEBikxOxyML13Gv89shmpRMJt/Yf7ji0IAl/k/IQHgVFhGQzV9/O93rBaS73AKpVKlEollZWVviCZ6upqZDIZERERhIaGthj56c9S9ZfKbk7C2Wyv2cfayq1ckXQu4aqW17YbcnFaOj9n7WdDST4PrV/CB6PP7pAlk6rXc8/oUdwzehTV1jp2l5ZwuKKS7JoaysxmqqxWrE4ndpfL6zlAglImQyWXE6CQE6RUEqRQolEqCVAoUMllyCRSBATsLjc1FgvVVivlVivFZjM2l4v95eXsLy9n3t69AISq1QyOi2NQbCyDY2NJj4rsUN7cloSrJZoKdMM6uwqFgri4OKKjoxmcmszdE0bx+aYd/G/rLnYWljDn0++4aGBfHpw6jpAAbyR5eXk5NpsNq9VKUFBQo3R6YdpAXpozids+W0yxwcILi7fy1jVeF3pLVqdMKuXJG8/iyn99xeZ9efyxNZuzhnXzK5YNv7P33jqR+5/4idXrj/DTop1ceO7xQhft8Zj8FVqb9LRnQhSkVTNtVgYLvtrAysV7OiS47Z1wJfVJAKDwaPFfuNLTB1FwT3McNgf71no36WdM7tdiO0EQ2LruKADDx/cEYPe+QowmGyHBgVgEF3V2J9FhWnJravAIAv2TolmZmQNSMLscKGUyqj3eMmtTE9J81q0gCGwp3cXu2kPIJTKuOha0BI1/uFKplOjoaBQKBU6nE6PRiMViwWAwAODxeAgMDEStbl8e34b4E4ju4Un01XVnv/Eov5es5vywyc0G2KbJ/evrtD4+YAyzK+azubSAz7P2cn3agBOyZEID1AyJiKCfTtfsHG3lz22PleERBApqazlYXs7u0lJ2lZSwu7SUGpuN5VlZLM/ybg1RSKX0CA+nb1QkPcLCSdWHkhgcQqxOi0oub3Y+p9OJVCpttv+3pf40vP8GgwG73Y5arUatVhMaGtponTpcE8T9U8Zy1fAM3ly5gQW79vPjrv2syczhpVnTiZd7c0ir1WoqKysJCQlplr82PkLP4zOH8fgvGzlSbuDV3zfz9OyJvomBXC5vlso1KUbPHXPG8dr/VvLWd2sY2ieRpJjmuYQbfmc1gTLmXj6Cj7/awDsf/Um3lAgGpCe0+/n/FVqb9LQ1Iap/VhmjElnw1QY2rT6Ew+5stUxne8/dkJjUSABKsss64YpPfUTBPc05sPEIDpsTfXQISX1aLtVVnF9NRWktCoXM507est0bDDJiaCob9uQAMGFwGqv2eV/vnRLN1l2lKAJkuHEzKTWVPwq8on1Fr4G+Y5vNZn4s+AOAYap0glxq3w++tNSbajEqKgqj0YhCoSA83FucwOPxoFKpqKurQ61Wo1KpfOt39Qn2/YmRv4G/pUxPk0OHs994lGWlGxhs74nEg2/GDrRY8Fwuk/F4xlge3fonb+3awODIeMbGJbd4f1sSI3+WX1tF1euPV1paSlFREVKptMX6v1KJhKSQEJJCQpjeowcADrebfaVlbMzNYUdxCXsrKqiqq/NZwU0JVqsIDwxCq1CgRCBQJidIISc4MAidWkVwQACRLhcBgNtiIVguRx8YSHyD/jTcCmW1WjEajeh0OuRyORKJxO9zjNJqeOG8acwe2JfHFy0nu7Ka679ewJx+PRitbd2LoNFoGNa3B88qVDzw7XJW7MsmTC3jooxurd7XiycPZO3OLLbsz+eJD37nk8cvRS5vXD2sqdhMn9yT7DxvYph/Pfcz/339KmJjQlrtX2fQ2hpxS9/3ppWBgoK9NXTNRjtZh0vp3b99k4X2rk+HRHqXjUytbJ86kxAF9zRnz2rvWuuAiX1b3Xy/a4tXRHv1T0Cl9s5yt+3KA2BoRjKvLfBuKxrUJ4GvvvauMdbhREBAppSCy01yZDC/VdmIDAhidMzxyOQ8UxFHnflIkDBaNcAXrVlcXOxLMGGz2QgLC/NZSvVbW8xmM1arFafTSV1dHS6Xy5f8Qq/X+x00/bm7Gq6n1VvPHo+HaGkIIXItBpeJvXVHGRs5xDdjBxoNrGazudG/p0Uns6dHf747sofbVv3Cd9MvpW9YlN/725ILrung3fQc/iyHerE9dOgQVqvVt32pLbduPUqZjO46LZqICCbp9UilUgStllyzmQMVFWRWVZFdXUOR0YjV6aTWZqfW1rEIW5lEQlRQEKlhYaSGhpKk1RDm8aCx25ECNpuN8PBwnE5nm/0enBjHTzdewfN/rGLe9r18t/cIR6LCuCU9jbCwMN/1N6TenTtlcDqPOwWe/n453287Su/4KPpEaFo8p1TqLXBw+eNfcjCnjA9/2shtF49p1Kap2KjVah66ewaFRTUcySrjgSfm8+6rVxASHNihe9aQ9ngvWlsjbvp9r62txWq14nK5CAsL8xWriIqKIjEtjAM7ijl6oLjdgtve9emgY/fAaqw7wTtxeiEK7mnOoa2ZAPQd1fr6zL6dXnHtPyQZAIvVTnauN1FDeJSWqloLSoUMl1TA7RFIighhT0kZSMDicqKQSql0ebP8TEvqjqxBEYhtFm/gVYoklkCXyreVw2LxthcEAaPRSGhoqG/bRv3WFoDw8HAiIyMpLi5GIpGQlJSEw+FocdBsyd1V/1dvPde/P0qXweLqNexwHKKfIQ2n04nFYkGpVDZym9ZX0Wk4q39q+GSya6vZUlbI1X/MZ96My0gLaV4UoqU+1Q/eBoMBp9Ppa2swGFqMGDabzRQVFfkG0JqaGqKiojoUBdu0PxFKJb169PBZwfXPxVBnI6+ygtJaIzVWK+XGWswOJzaPG4lShRMwObyCXGkxU2m2YLDbcQsCxWYzxWYz6/LyfMdUSqX0Dgmhu1rFWIWCHjEx7eq3WiHnmZlTGJGcwMO/LGVHWRWvuD28feGMNicZF43ox4H8EuZv2s/Lv23kxQvHEB/f8jkj9VoenTuVh99ZxBe/bWFYeiKDeyX4jTVoKIYvPHkht9//NYXFNTz45A+88fwcggJPLDK5pQlae6PDG64fV1ZWYrVacTgcVFVVUV7uLdhQX8AjPNL7+eqKthN/+Du+P+r7aagxdPziT2NEwT3NObrNu0bXc2i3Vtsd2lsIQO8B3hnu4aOleDwC0ZE68iu8e+j6pkazJ78EgPSkaBZkHkI49g0aFBfLhpJ8ACbGpwLHf3Sbqr0WcR+SfbN0lUqFx+PBYrGg1WqxWCw+kVUqlVgsFtRqNTabDblcjlQqJSIiAolEgtPpRCaT+RI2AI3WAdtydzV9f6J+GIur13DUmY9LLSA4BCwWCzabDZ1Oh0Kh8K2vBgUFUVNT47s+lUzOx1Mu4vIl37GvqozZi7/mvYmzGNXAwvd3zvo+1VsK1dXV1NTU4PF4q9DUX4cgCL4qOvXnrK6uxmKxEBgYiMViISAggNDQUN8A2p66qQ1dvB6Ph5CQEN/zaDiYy90uAm02kuQyUkKC0SUm+O5H0/PUP29rXR0mt5tql4s8Qy17CgvZX1ZGltGI2elkd3U1u4EfiksYEhPDVYMyOKt7dxQyWZuW3dl9exIXrOPWeb9ytLKGW3/8nS+vnk2k1n9QU/0xHrpwEpmlVezMLeX1Fbv4bkDfVu/PpKE9mDU+nV9W7+OJ//7OBw9dQJ3Z0OLWL4DwMC2vPHsxdzzwDYePlvLgEz/w8jOzT0h0W5qgnUiReJVKhdvtxmQyIZFIqKurQ6lUolKp0Gq1RMV4J4imFqzQE6nLW9/PyopKACSyzs3VfKoiJr44jakpr8VQYUQikZCcnthiuzqrnZICb2ae7r1jATiS6Q1y6Nk9msN53nW9PinR7C/w/n9IsHd7UVCAN29yr8gICsy1SIBhUV7RNpvNHCw8QpmrCokAQ8P7+yraBAUF+QZ5g8GAIAjo9XpfxZ6SkhJycnKoq6sjLCysWb1SnU5HeXk5mZmZZGZmkp2d3aymakuJGJq+3y0smV7aVAQE9ruyUKlUvr7VrylrtVqkUqkvdaLVavWtP+uUKr6YOpv++kgMdhtXL53PJ/u24mmQvKGlPtVbCg3L4tULX8Nz1FOfDcrpdPqSZSQlJeFyuaisrOxQrd2G2a6MRiNlZWXNkj00HPib3o+mg279tURFRpIWE8OwhAQu7pfOg2NG8+KokXw9eRIvDhzAFYmJ9A3x5lzeVlLC3b8tZuInn/LVzl3UGI1tZmcaEB/Dd3PnEKPTklNVw5Wff8+R/AJfRih/SSuUcjmvz51FpC6IvMpanv2h7aT6910xkZRYPZUGC89/8SdOl6vNJBaJ8WG8+uzFaIJU7DtYxAP/mo/JbGvzeTSlpQnaiSTT0Gg0xMfHExAQgMPhwO12U15ejlwuJzo6GpnUO2tWKGR+P282mykuLiY/P59Dhw61WdWpYT9xHtt6FhLUavszBVFwT2PyD3it1uiUSNStzLLzs7yuY32EluBQ7w8jM8crrGmpkWQWeN/vnhDOoSLv607JsULtcu8PKjDA+6PtERKOVnl8cMiye1MgRgqh1NVYfIOHxWLBbDbj8Xhwu737WI1GIw6Hw+dqVqlUBAQE+DJNNaxXWp8RqT7S1W63+wafthLH+3t/XMRQALaY97VqHbc04CldHp7rMZwJYXG4BA/Pbl3JxYu/Znthbos5jxvScICtF0F/g6rdbkehUJCcnIxerycxMdGXa7qjtXYVCoWvlKHH42m0ftyeouTtzRVcP9mIjopiWFoal/btw39nTOfTiRO4fkB/wgMDKTGZeOrPP7nsxx/ZX1nZtrDpQ/jy6tlEaQLJq6nlrp+WkJ2f32yS0PAYYdpAXr56JjKphMU7DvHjpn2t3qMAlYLnbpuJSiFj+6FilmzJbTVIqP5+6EPk/Puxc9EEqdh/qJg7Hvgf+QVlHUqh2HCCFh0djSAIVFZW+o0ObwuJREJ0dDQJCQlER0fTu3dv9Hq9L2OX2eSdEKgDlX4/X7/843A4MBgM7arqVP+9Kc71VqSqD5460xEF9zSmPhQ/rnt0q+2Kj1m3cYl632tFJQbAO2MvKPP+vz40CFOdd/CqtdsRELAcW3d0Sbyu0B6hx91sKpWKMo/32Ikqb71VjUZDVVUVOTk5GAwGtFotkZGRBAcHo9PpCAkJQSqV+tZ5ZTKZL3duXl4eRqPRl9y/3uVss9lQqVTtzpDkTyRGhmUgRUJuXRHo5T5LNCgoqFF7pVLpW3OtnxyYTCav6xt4bvAE7kjpR6BMzvbyYi5e9j2PblrG9uzMVgephgNsfHw8QUFBLUafyuVynE4noaGh6PV6X83ajmY08leAvulx6pNMyOXyRntnwX/6Q3/3t+EEp75ucW1tLdEaDXcOH86aG2/gqUmT0AcEkFlj4IGNm3hz82Y45lZviVCFjAcG9UYjl5FTa+bFtduw1tW1OEkQBIHuETquH+/dj/7STys5WlLZ6j1KS4jg/66cCMD81YcpNXpaLLfX8H4EBbj41/1T0GlV5OZXc9/jP3DoiP/82/5oeM8kEgmlpaVUVFT4ors7WvavPkOXXq9HoVD4/l8ikVCU570HMfF6v59t6JJub1Wn+u+zqdS7TTCpd8s7JM4kRME9jSnN9VqjUUmRrbYrK/auSUbHHf/BlZQaAIiI0FJp8FqcnmMep8hgDSW1RpCAW/Agl0oxOL3rPynBx4+h0Wgwyr0/uN4R3dHr9ZSXl5OVlUVhYSFGo9FXqCA4OJioqCjcbrdvjVIQBAIDA/26joOCgoiIiCAiIoLY2FhSUlI6lCGpqcsyWKEhXestH7i+ZidhYWG+teWG7QGfEAuC4Hvf5XL5CrWfF9uNn8+6lMkxyXiAPyoKmLtjGXetW8yG4jy/lk7DATY6OprY2Fj/tX39uKZPtPZq089FRUU1O079hMLlcmEymXzeB/Bv7beVsN9fX1VyOVdlDGTptddyQZ/eCMCP2Tk8u2MnHrncJ+L1x6yoqPBNcuJ0Gu4d1BuFRMKO8mq+2nmgxftR37eJ3SIYmBCB3eXmoa8WY2+lri3ArPH9mDGqNx6PwCvfrMPhkfpdw2x6P8JClTxw+2giwzVUVFq4/18/sWd/YbueTUvHbcutX09LFbOa3hdBEMg56p2YJ6Q033MMx13SHanqVP99Ljl27PoEGGc6ouCexlQfs1LD4/zPXH3tqryDYliEN/jC5fZgqPUKpVTu/YrIZVIMRm8UY6QuiAqLFY791sMCA6is87aPCmg82Ne6vMcOVeh8bl+1Wk1wcDDBwcHExcWRkpKCTCZj9+7d7Nmzxye49fVa66OTG7qO613SCoUCmUzmW1/1R8PBp7q6GpeftTiz2UxfvMFeayq3YjR5y5Y1HUQdDkejNdeQkBDvvly5vNFg1j0yhjdGTefFHsMYGBSKAKwszePypfOYtOBj3t61gXyTwW9/W3OJN32vvu8dCWhp6VhSqbTZeTtS6q++kH19+/r1+Jas3YbXJggCCreLO/v04f/S01FKpWwuKeHK7+dTXFVFSUkJBQUFHDx4kIKCAt8kJygoiD6RYdzQzztZ+njzTtZl5fk9R33fQkNCuHVcOqGBajJLq3hz0bo279PD104hJTaMSoOFx99fjMvtadbOn8cgOkrH/bePIiUpFLPFzn2PzuP3ZXvb9Xxau89t0VrFrIb3pSCnEkO1BaVKTtqx+I2mYg0QHR1Nz549SUxMJDY2tl2TOrfbzYGN3kx1fUb2aKP1mYEouKcxhmPRxaFRra+f1FZ7rZYQvdddaDTWUW+EWeq872kCFOSVHguYCgrAYK1DODauhwYEUOvwrgOFqI5ngTKbzRgd3h+s3eDdQ1ufR9dmsxESEkJKSgqCIHDo0CEOHjxIZmYm1dXVVFRUkJ+fT1FRka9IemVlJQ6Hwxcw5HK5kMvlvgCrendzUxoOPjU1Nb59iU2DUXrJkwmQqjB4TOypOQy0PNj524vpb5DvrQnlkaT+vN17NBen9EGjUJJjrOG1nesY98OHXLDof3x2YDuVde0rnN7atTW0KDujFmv9fmiLxdKuUn9NE4w4nU5qamraVZ6u/jpKS0vpKZfx2pgx6JQKDlRWcs+SpdgcDtRqNW632/dfuVxObGwsiYmJXD95HJcN7o8APPzLUmqszSNuG/YtTBvIoxd4C2t8vXYnm4/mt3ovAlQKXrzzHALVCrYfLODDBRuatWnJY9AtNZ5XnrmIcaO643S5efHN3/nw89V4PMefSWvPq36dPTAwsFHkemu0N7hq23pvopo+AxJQKuWNnkVbYt0WR7ZlYzXWEagLIKVfy0GbZxKi4J7GmI+5gjWhrc9GrWbvjzEwyDuY1tkcAASoFVisXiENVCmxObzrtQEqBXbXcTecSibH4faWqlPKjkc62u324/VFPQJyuZzU1FTS0tJIS0sjKSkJk8nE4cOHqa2tRalU4nK5cDqdKJVK30Ch0Wh8g01gYCBGo9HXLjMzk7KyMgoLCxtFKjek4eCjVCoJCQlp5m5UqVSo5Sr6KbyW0gbTLt/AVn/e6OhoX/v2uHHrc0InJCSQFqznofQRbJ5zG6+MmcGY2CSkEgk7K4p5evMKhs97j7nLfmBRziFsrtZdnC1dW1OLvT6y9PDhw80iSxsO8EajEaPR2Gywry/1J5VKcbvdbZb6k0gkje5LfZ/qI4frty35E5f66wgL825RCfO4eXHkSG8t4bIy/nvwIDabDZlM5vtv00nOI2eNJy1CT6XFyr+XrGp2r5o+s2mDenPxSG+60ye/W4a5jeQeKbFhPHbdNAA+X7SFNTuyGr3fmscgIlzP04+cz9WXjgTg6/mbefTZBVjrHL573ZIrvj4TV9Po+NZor1W8boU3Mc7Iib19r3VWWcGNv24FYOj0gcjk/iOgzzREwT2NsRxzCwe1kfHGZvMKqfrYFh+H45h4KuUg9f5QpFKB+gm5XCrF3WB2LpVIgOYzbpVKhUzi/bwg9QqXRCIhKCiI0NBQKisr2bx5M2VlZZhMJkwmky8AyOVyIQgCVqvVl5IuMjKSmJgYPB4PcrmckJAQlEol4eHhBAcHN4pUbtaPY4OPXC5Hr9c3m6nXD8bTokcDsM24j305B8jJyfHtTW2YgrA9M35/g16QQsnF3fvxv7PmsOmSW3li2CQGhEfjFgRWFmZzx6pfGfH9e7ywdRUFprZriLa2faS+3zU1NRQWFjbbXlQvyHv27OHAgQOUl5c3Guztdrs3G9exiYZCoWjTsml4X1QqFbW1tRQVFWEwGHAdm0j4E5f663A4HL517FE9e/LOuecilUhYml9AoVRK7969SUhI8DvJUcpk/GvKWKQSCYv2HWJjdn6LfatPb3jNqL7EhmoprjHyn9/Wt3m/pw7vyZyp3qCrpz5aQkFZ85q7LSGVSrj+qrE8fv9MlEo5G7dkcddD31BRaWpT5P6fvbOOjupa2/hvPDKZuBtJsODu7lKsLdCWCi11t1vvrd+6u9KWClBaoGhxdwiaQIgSd5mZZHy+P07OITJR6Nd72zxrse5t5pw9+8jsZ7/2vK0lwZZsCPOyS0k8fgGZTMawcRcJ93K0FXQ6nexacQCAYTMHtvr8vyvaCfdvDEvN7lnt1rQgub0mHiXGa0XIZDI8PASyViiU+Pr4CMc7HKhqWbIWux0PpUDWVTar9HetVouvm+DOVnoLP1pxoU1PTycpKYmSkhLUarVU3iNmT4olNF26dMHb2xs/P786mbvisQEBATidziYzlVuy+IiLcf+IXsR5RGFz2tmQv4vi4uI61nZr0Nz3BnlouaX7AFbPuJGtVy7i3l5DCfXwotxs4vPThxjz6xc8vGsdGZWNL+qNfYcoLFK75WH98iKRkEtKSigqKmpwnS1ZeJtyhYqbovDwcHx8fFDWNEFwRR7idQQFBREbG0tUVBReXl6MiunAzf2EDjxvHz6Cb0AAgYGBDTY5otyloryECdGCDvaL67diczSMtcJF0jdWlnPr8G4ALN17goT0nEbvtYj7rxlFr45hGKrMPPHRWsnz01JMHNud91+9Bh9vD86nFnLXw0vIKzS0SqylufKslmwIN/52FIB+Q+MIrBV2amsSXm0kH0kl53weGnc1Q2c23oP7n4Z2wv0bw2YRLAqlunWCYuKP0253oKpxBTmc4O0lxHhNVhseaiU1pbhUms1418Ruy02mOuMEewiZj5Uyo1R07+3tjclkkjIuRSGM6OhotFqttKB6eHhgMplwd3eXFo7a5SlarZaYmBjJRR0bG9skmbY0/jTZZxgAxzhHNQIhtWWn35rvjfP259H+I9kz9w6+Gn8lI8KisTud/JZ6hokrv+a1Izupslpa/B1arVYiOrVa3SCztDYhi9mvFy5ckOp8xSxgceyWlMLUd4WK3XhEV7PY5ckVeTR1rx4YNpQQrZbsykrWnjvn8v6Jcpfl5eXMjglHq1KSVlrOisPHXW4GapN+91BfpvYWlNhe+mUrlpqM7Mbc7Sqlgv/cMx0/nQfnLxTx5vfNi2jUR7euYXz2zvVER/pTVGLgqZfWYDQpWyzWUvtz8RmIFQAXLlxoNm5vsdjYuFLokz31yrp9atsSr62P9V9uAWDY7IG4axvvwf1PQzvh/gPQ3A9GVJix1hC0h7tgEZtMVjzdBMvVWG3B20NYMCurTPh5ekhe5CKjkTBPIWM21yhk94q77gCnsHNOLk+vUzzv5uYmxflEshVF1a1WK06nE19fXzw8PPD19aWyspKioqI65SkymQydTkd0dDTR0dHodLo2LQ71Mdi/N+GKQMxOKwmaFHQ6XZ34rYiWJCa1NnlJIZczIaojP0yez+8zbmBUeAxWh4PPTh1k4qpvSChqvq+oGDNVKpVEREQQGRnZILO0NiGLUo0KhQKZTCaVOolzFmOlLSmFqW1FN0YSrbWgPNVqbuzbB4ClJ11n+JpMJiwWCzKZDFNlBdNiwgH4Yt8RCuq5yqEh6d83ZSg+nkLW8ndbD5GXl0dBQQEJCQns27eP5OTkOoIPQX5evHjnNOQyGWt2n2H1zqZFNFwhNMSHj968jvjOoVRWVvPMy2soKbO1WKxFhPgM1Go1JSUl5OfnN7je+u/hrj9OU1FmJCBY16o+uC2BodzItp+EzO8r7ph0Wcf+X0c74f6NIatpIOBsxK0mQuwOZKoWXGOeNclTVpsdjUqwjiuMJnw9hZ1qUaWRYC8tOIXKIJPNhp9GcD2nVpQAF3fdPmbBKk6qTJWEETw9PYmJiaF79+707duXQYMG0alTJ5RKJWq1Gg8PD9RqNU6nU2o9V1ZWRnl5uSRHaDKZXBLZ5cjO9fLyYnbgBACOy86T7yhx2UKuuZrTlh7TGHoFhPLdxKv5cvwcwrU6cgyVzF//Mz+fO9HkeZKObROEKaoPde3alaCgIIKCgujYsaOkY93SeGFjbeDEchJXJNEWC2pON8Htm5CXh97FfGw2G9XV1VKi3rw+3dCqVeTojaQaTA2uo76gR1igPw9MF7oCLd6ZQLmxWrL6CwoKpJKy2mMM6h7FnVcJMf+3f9gmKbK1Bjovd95+ZR49u0dgMJp54vlfyStoPnZfG+IzKCkRfnvixrX2XGu/h7m5ufz2gxCvnn71wMue0LT2882Yqsx06BFJz5HxzZ/wD0I74f6NIbqSbVZ7k8dpdQKRVtVovnq4q1HXWL0yhxOZTHAve6gEYs4v1xPl64MMmSTj6C4TPkssFUqHxF13L7+uKFGgd1ZR5WmRCud1Op2kA+zv74/BYMBms+Hm5oZMJkMul6PX68nOzub06dNSl56UlBSpNMgVkV0KwYmQyWT01nWhmyoWBw6W6zehr246+7kxYmquLrUxiBuHkpIShviGsGHmQiZHdcLisPPkvj/45OSBRs9taYKNSHyi9S42j3ClONUYalurXl5eFBQUkJqaSlpamiRscimbHxFBWi3hNU3mTxc0bGauVCrx9fUlJiaGsLAwQvz9mRrfEYBVp881uA5Xgh6zB3Wnc2gABpOFlcfTKCwsRC6X4+fnR1VVlVTrXBs3Th/I0J4dMFvtPP7hGozVDd3+zcHTQ8Prz19Fx5ggSsuNPPH8CqlSoCWQpDNDQggICMBisTS43trvREpiAWnnClBrlEy96vLGV60WK6s+XA/A1Q/PuCwep78T2gn3bwwxWcpc1XSyj66mEUF5TT2uTCYjwL+mZVeZkcCasiKz2YabWond4cS3Jh6nrslCrq62oZDJyDXqyTVUSrvuKr2RWIXg3ttXktDACqpdEhISEkJQUBD+/v54e3tL2cdKpRDbUigUUplJ7XhwbVK5XCUNbm5uXKUbj6fMnXx7CUuLNzQgjJYkFdU+RnSnt6YuVTxWZrHy2bjZPNhHsKjeOLqLZcknXRJaa7NMW6I41RhqW6tWq5WSkhKpkUJubu4lb35qeyxCPAUvSomLGltX8eJ5A3oDcKygmMCg4DrX4eo9kctk3DlBIKBNiRfQ6Hwl+UMvLy+ioqIa3Au5XMYLd0wl2M+LrIJy3lyyrdXXCALpvvr8VQT4a8m4UMIHn21t8bm15xcbGytl89eea+13YvcfghjFuGm9pdr7y4XN3++iJLcMv1Bfxl47ovkT/mFoJ9y/MTy8aixXfdPdSkSFqZJa/TBDQ4TYa25eOVEhQoPv7PxyOoYISVDqmldHrCNMLCykZ4Cg2bw3L7POIj4xXPjhnbCdx9NLS0VFRZ36UFGfWHRLijW3JpNJEvEXrd+oqCgpyaYlghRtEdsHgYQ6hcdxe/hcZMjYXXaU7zNXNRAkaI6Yah/j6+uLUqlEpVJRVlZGaWlpo3NwZRmXlJSwqGMv7uo5GICn921iR3JiA0JrbYy0sfpRsSa2pKSk1Raq2OO4rKwMlUqFzWZr0+an9sbDUF0jsq9smATo6pp7hIXg5+FOtdVGaoW+jrXl6j0xGAxEesjpGuyL1e5gW2oRffr0oUuXLvTr14+YmBiXFpuPlzsv3SXEc9fvTWTdnsRWXydAUIAXz/7rCmQyWL/5FIeOprfq/KZc9eL9kTvdOHlY0HSevWBIm+bZGOw2O8teXwnA3EdmoNY0XR3xT0Q74f6N4ekjWATG8qZVjAJqyFXUVAaIrJGDzMgqITZcWHiTLxQRHyHoMpeVV6FRKjCbhUSrA1lZDK/pAbvlQkqdH/+o8EHolFrKbJUcrz4ruefE+lCn04mXlxc2mw2TySSpCYWHh9OtWzd69eoluZ5Fd5mvr2+rE3Lqx7Hy8/MbJV9x/qOiB3N77HwAVuVs4ev0X7A77XWOaSoWWV+432azkZmZicFgoKysTCJJh8NBXl4e58+fJy8vT5KsdKXYdFfnvkzr0AWb08G7KQnIFIo6BH45skzr36+WWKi+vr74+/ujVColnV6DwUBmZiZms7mBZ6MlEDcebp6eZNTEhUXXMtR1vQOSBrZMJkMuk9E3UpArPFtQXOccV4ImYt3xjaN6AbA2IRlPH186deokkJW84XIpfn+En4YbpwnlS28u2UpOYXmLrq8++vSM4qqZQtbwR19ucykh2RaI78ShHek47E56DehAh47Bl2VsEVt/3E1uagHeAV5Mv33CZR3774J2wv0bQ1fjFq4o1jd5XFikQKh52RcJNy4mEIDU9EK6dhB+mEkZBfTtICxgJzPz6R8ZDg7B4qgwmengIVjCO3LSMVgvWjNquYqZ4eMAWFu6C6vdWqc+tKysjMLCQkl4oaCggNzcXJxOJ1FRUYSGhuLn54evry+enp6EhITg5eXV6oQck8kkJW6VlJSQlZXlkkzqW8KTQ0ZIpLsubycvnvmYcktlq55F7UbySqWSqKgoqSMSQEFBAUlJSWRkZJCUlITRaJQ2DmJpT20955eGTsRbrSGtqpJvzxyR+uS2xW1bH1VWK3+cP8+be/fy3MFDvJxwnBcOHeK13XtYevIkaY1Y5l5eXsTFxREXFyc1RhdLvdzc3KisrJRKVzIzM+s0ImiMgEVLdEtKCma7nVCtlq6BF0X2m9sURPv5AJBZVl7nnPz8fGnjJybEid8V6+1GlJ8XJquNVQfPNHmvan//uF4h9IgNpspk5fkv/6gj3dgaLLxuON46dzKzSli/6WSbxnAFu93BH6uEUqDpcy+vGIXdZufHV34FYO6js9pLgRpBO+H+jeFb04OyrKa9XmOIiBYIt7RIj75SiI91ihVINjmlgO4xgqs4KT2fnlHC/z+TVcCAqHBkyNAphNKhxNwiYr39MNtt/J6WVOc7poWMxlvlRYGlmGRtbp360OrqaoqLi7HZbOTl5XH27Flyc3Ml2cbaC6TJZMJoNLbJzWmz2aR+no01MQDXi/jU0FE82mURbnI1JyvO8UDCK+wsPORSEtEVxGuw2WxSqzOlUim5vMVetEFBQdjtdoxGo8uWdqL709/Ng8f6C1rAfxgKCYuMlHoEtxVWu50fjh9nzFdfc/fva/jxTCKHCgs5kJfHgYJCliYl8fTmLUxc/C0jvviSF7Zt40h2jnTd9a15lUoltRH08PDA4XBIpSuZmZl1GhE0tlHQarW4+fry9Tkh7ji7WzeXJTGNxex93IVcA6PZ0uw5tcU35g0TrNzfDzftHq49ltPp4OFrhuHhpuJEcg7LtyS05vZL8NK6ccN8QQJy2W+H20zc9ZFwIJXiwkp0Ph51pBwvB7b9vIfclHx0/l7MvLu9FKgxtBPu3xj+YYJbuDi3tMnjPL3cCAoVyDkzRcgAjYsNRKmUU1FZjVomx8/bA4vVTkmpgdhgPxxOJz5KgSxKKwSSXnvuHHM79gDg+6SEOgTkrnTjhuhZAKwv341/bJDUecTdXdgNi3FZsUZXFGaovagZjUZycnLalIgjKh+FhYXh6emJyWRyKcrf2II8PKAfb/R+jCiPMCptBt47/x0vnf2EU3lnm52LOGZwcDA+Pj54eXk1cIUrFAoKCwulTGHR0m5MgGJup54EunlQZrOwIeMcFosFi8XSpqzgaquVRb+t5Lmt2yipqiJcp+PaXj15dOAAHunTh4cHDOCWfv0YHBmBWqEg32Dg+4TjzF+2jHFff8N7e/eRVXGxnKW+a9/X17dO6YpWq6W6uhqr1VpHZ7k+DBYL/9q6jaKqKmJ9fblz0ECX/YkbSxCz1rhkFfKm47dQd8Mwe0gvVAoFyXnFTfbMrT9WdFgA980fBcDHv+xps2t5+uReaD01ZOeWcfhY62K5jWHzmuMAjJnaU2pUcDlgt9v5SbRuH5nRbt02gX8k4ZrNZh5//HFpsR88eDCbN2/+q6d12REQIViuRVklzR4b10WQw0s+IwgrqFVKunQUrNmTZ7IZ2E3o9rH3RDqjusUAcDw1l27BATjtTtwVCkqrq9FaFXgoVZwtK2JHdlqd7xgbNJiuXrGYHGY+zV6Gt59APKKco1wuR6vVolQqMZlMUuZp7UXNbrdLiVT1LZrmkqLE8cRYnZubGw6Ho4Eof1OJV5EeobzV+3Gui5qBUqYkxZrFh5VL+bVyCwVG13WYYtcdg8FAQUFBHbe4aK0FBwcTHx9Phw4diI+PJzg4uI6lXVBQQFVVVZ1x1QoFczoIogX7K4swmUwUFha2ejNSbbVy26pV7L1wAU+VihfGj2PLLTfz+JAhjA8JYWxYKBNDQ7h/QH9+mjeP4/few5ezZzOnWzc8VSouVFTw4YEDjPnqaxYs/4VViYmYbLY6rn1xgyGWrphMJkknu7bOcm0cz8tj5pIfOJKTg1at5sMZV+C0WFz2J24sQSyrxpUc1ExP4frQebgxtIvwzu9Jymj03rka68qxvRjQLRKzxcZbP2xvUzmUh7uaSeO6A7B5e9uSsGrDVG3h4E5BpWv8tN6XPF5t7Fi6j+zkPLz8tMy8Z8plHfvvhn8k4S5cuJB33nmHBQsW8P7776NQKJg2bRp79jTdF/N/DSEdhDhsQU0j+qbQpYdQunP21MUG2X16CQvOsZMXGNFb6BW753g6k/sIvS13JqYxPi4aGTLcnMKOeVXiOa7v2geA90/sq7PYyGVyHu5yM1qlBymGTL5JF3bFYi2oj48P0dHRhIeH06FDB3r16kVwcLC0qNVOPHJlmTbXIUccx8vLC19fX6Kjo/H09Gwgyt/cgqySK5kbOYVXOz9ED3UcTpwcMp/h6bQP+PnCWqrtda01seuOQqFwSfAAcrlc6KNbK0GnJQpCo4OExt4njWVYa0qsWlsS9eyWrey/kIWnSsU3V13J9X36oK7RXnZl6WuUSsbFxfLW1CkcuOtO3pk6lSHh4cgQkuce2bCRgZ98yv1r17H+XDKVJlOD0pXAwEDCwsIIDg6WdJ7FOPeRnBzuW7OWuT8v5UJFBWFeXvw8fx5dAwMb7U/sKmbvdDo5kZMPQPfQIOnvLU0qG9JZeP8PJGc2eu9cjSWTyXj8xvEoFXL2nkhnz/G0Rs9vChPHCGIfew6cx2S2XlJN89H9KZiqLQSH+dC55rd+OeBwOFj6mpCZfNVDV0iVEe1wjcvnV/gfwaFDh1i6dClvvvkmjz76KAA33ngjPXr04LHHHmPfvoZ9Lv9XEVoThy0rqKBKX93kjyG+t7C4nEnIlJJ7BvSJ5sflBzh8LJ177xiHUiEnPbcED7mK6EAfMovK8UCFRqGg0mBG4SnjeGEhdwwbzBLlcY4X5bE+4xzTYy5KxwVq/Li/0438J+kzNubvIlDjy5URk1AqlSgUCvz8/DCZTERGRhIYGCidJzZbLy0tRalUuiSu2oL8YnKUVquVzhUXR7hYtuLKDSkeJx7bGOL8o3lMcxunypJZVbKV81WZLM/awOb8fVzfYSZjAgchl8nrdN2pqKhoQPBiNm/tJvKAZBVXVVXhdDrx9/fHarViNpulufUMDMVHpaHcaibXYaarh2+rurwczMpiZWIiMuDLObMZEH5xMW5JPa+HSsW4yAjilQryOndiW04u23JzyTUYWHfuHOvOnUMhk9EjOJh+YWF0CQgg2tcHlUaDQa4gLb8Ao93GYaOR4sQk9mRnk6e/mOQ3K74rz48bh64JHebGkJCdR3pJGWqFgv5RDUnG1X2XyWTS32NqsvwTs4RuVuJzcXVOfUSH+nHdlP58v+4wHy7bzdBeMSgVrbNv4ruEEuivpajEwOGjKQQHCHXoCoVC2ji2FKJ1O2xs/GUVozi47hgZZ7Lw0Lkz+95267Y5/OMId8WKFSgUCm6//Xbpb25ubixatIinnnqKrKwsIiMj/8IZXj5ofTzxCdRRXlRJzvk8OvWLbfTYLj3CUSjllBTpKcgtJyTcl17dI/D0UFNWXkV2dhmDe0Sz90Q6mw+dY86gHry3bg9bTqczs0dnfjmRRIDGg3yTkSXHTnBbj4F8cHwfrxzezqjwGDBbpEVqgG8Pbuowh+8yVrIkczUauZp+si6Ul5fXWVDqozZxlZeXY7FYKCkpkRa+xjrk1F+YRAtWnI+npyd6vb7JRbSxxdnLy4thXv0ZEtGX7TkHWJq3nmJrGR+eX8K2vP080OUm3JohCdF1XP/axV60VqsguVleXo5SqcRoNEpz8PLyondACDvzMilzVxETE4PFYqlD3I3B4XTy4vbtAFzbuxeD67339e9TY+OJVmenkBC8gOnBQeTZ7ewtKCChpJS08nJO5OdzIj+/yfmI0CgUTOvYkUWDBhIfFFTnM3FOJpNJKiMDQapR3GyJz/TjnYIa14yeXdG5aRo8Y1f33cvLS/q73KRHBlRUmzmblkHX2A4ALs+pD6fTyVVjurFqx0ky8kpZt/sMs8b0dHlcYwQuk8kY0C+GDZtPcTghg6njOuDt7U1FRYXL97oxOJ1ODtc0mh84snOLzmkplr2xChA0kz29L6+Ixt8RbXYp2+12iooaxqxOnjzJhx9+yEcffURKSsolTe7PQEJCAp07d0ZXq5YPYNCgQQAcP378L5jVn4fIeGFnn5mY3eRxbu5qunQXjj1+SHCBKZUKhg4Suqhs332WyUMES3XdnkRmDIhHpVBw+kIBI2NiUchkFJUaUcrl7LtwgZ66ECK03uQa9bx6cFuD+tcRmj7MCBoLwFfpv7C+fDfe3t51WrnVd6E1p9qk1WoJCwvDzc1NKvdQq9UNrrW+G1AU6y8sLCQtLc1lt5Xmyk+MRiOR1QHcppjFMFsPlCg4Y0jh4eOvkmzNbNJF7cp1K24uvL2FZDaVSoXJZJKytMU5yGQyuvoLnox8iwmdTtfi+tsNycmcLSrGS6PhkeHD63zmcDjIz88nPz8fq9WKp6dno+PVfi5ir+KB0dHc3KULP8+aya7bbuXdaVO5sW8fRkZHE+XjjZ+7O25KJTqVimB3d/oGBDC/SxdeGDSQH8eP4/qIcDyqqxs8B/HZubm5Se+HWEpW+/n8ePAYe9IyUSsU3DpsgMvn15jLXPq71hO3GonTcmM1paWlUvN3UdPbldtebBWYnZnGxH4RAHy79iB2F5rmzdWG9+4unJ+aXuJy09YSMZeMlELKig1o3FT06Bfd5DvRGiQeSObM3nMoVQrmPDDtso37d0abLNwPP/yQZ599Fr1eT2BgIJ999hmzZ8/m9ddf5+mnn5YeukKh4OOPP+a22267rJO+FOTl5bm0nsS/5ea67sZSv7l5ZWXr6jD/KnToFsmpXUmkn7rQ7LF9BseSeCKLhAOpTJkjFN+PGdGVLTuS2LHnHLfcMBKth4a84kpSLxQzrV8XVh9O5I9j55jZK56VJxIJ1niSU63nzV17eGH8eBZt/Y2fU07RS6VlVFQc+fn5kiu3hy0Ku89I1pfvZm3pTnI0+UyuHoLcIaOyspLS0lIcDodkSdS2uIxGI0ajscGOX6vVotPpJJWqlqB2rDQvLw+TyYTZbK5jvdRenF1ZGOLnWndP+pR2pLdHF36zbKfAXsorSZ9xX6cbGBs02OX3azQa5HI5+fn52O12fHx88PT0lLJ6ZTIZ4eHhlJSU4HQ6pZiu2ODBt0ZeM9vQOtH7H48LTRAW9u2Lj3vdcINYFyxacoDL3w3UtYR9fHyorKysQwwBXl6E63TMjK9bilLfuquuriY7OxuHxUJhYaHL51D/fovPQyyr8vb2Zl9KOm/tEXq9Pjh2GLEBfhQXF9c5XrSQjUYj1dXVddoXihsIg8GARiGn2mpHX1VNfn4+JpOJ6upqSazFlUu7dqvAIV0C2HAok5yiSnYnpDGmf8dGryM/Px+9Xi89+9DQUDp3EhIX0zOLCQkJaeC9aMxKr42EA6kA9OwffVmzk1d+IGgmj1swkoCaioh2NI1WW7g7d+7kgQceoLKyEqfTSWFhIQsWLGDz5s089dRTdXZYNpuNe+65h+Tk5Ms66UtBdXW1yx+J2KuzurqhTivAq6++ire3t/Tvf8XtHNu7AwBpJzOaPXbAsE4AHN2XIjU8GNQ/Bq2nhqJiPWfP5TJtuLBo/rLlODeNFUh5y8kUpnftjEqhIL9Yj5daQ2ppKYk5xczv1BMn8EbKMTKKCqX2exaLhYqKCvpWd+Tm8DnIkZNgPscXVSvJsxRRXFwsEapoSdSv86xfmwpgsVhQq9VERkaiVquxWJoWga+dQZyTkyPFSsXvFC0IsbVgWVkZFouljmVSuzxFXMirciqZXNKfXrKOOHHy0fkfOFjiusuPuEkQNxcigWg0GnQ6naSwJb6jolJVQUEBaWlpyGuE7kurWl4ila/Xcyhb8HrM69mjwef164Kbyniu/VxCQkIICwtrtQ6zl5cXdrud8vJysrOzJeJpzIqsH8sVy6oOpmbw8p6jmGx2RsZ1YOGQfi6Pt9lsksvebrfXyQcQNxCRkZFYampgvWvCDmL+gEqlavT6zGazlHFvMVUxvLtAmmt2NWzh11wGfmS4LzIZGKss2OyKBt4Ls9mMzWZrUi705NEMAPoMajyk1FqUFZSz51fBZT/73qmXbdy/O1pNuJ9//jlQt8dqdXU1N9xwg5RlKP4DwfX8xRdfXKbpXjrc3d1d/oDFWJC7u+vEoieffJKKigrpX1ZW1p86z8uFuD4dAEg5lt5sZmOXnhF4+3pg0Js4nSBkZmrUSsaM6AII+q5zx/cBYM+JNFQomNhbIOnf9p3mpsF9kSHD3SHsoj85eJDrOvahk48/pVYzb2WeJCQsTHIXa7Va5HI5w7R9eDx2EZ64Uyqv5Hs2sNd2Aqvd1mjcs7FMYpFks7KyJPKtj9puuPz8fOk7FAoFnp6eVFRUYDQasVqFzNC8vDyMRqPULlBUqqot3ABIi3RwcLCwcGp1jKjqwSCPHjhw8G7ytxSaGpZoyWQyVCqVVC5UVVVFTk4OVVVVyOVygoODCQoKIiYmRpIhjI6Olho/BOoEt7Pe2rKsZICN58/jBPqHhRFWL7wi3t/6dcEtwaXISop10hEREZKrv7HEKFcNF46U6vn3riNU2+wMjYnko3kzUNR4OWpnunt5eUmbKDELvnYim3gNGq0XVTU9osP8faTPNRoN3t7ejV6fGEPWaDT4+voye6xQhrPvZDrl+rob+trXERERIb1/4nWrVUoCAwSL1VXbPrVaTWVlJUlJSZSUlNSRCwUhNHC6hnB79o9p8bNoDhu/2Y7Naqfr4E5N5oa0oy5aTbiHDx8GhJfy1ltvpXNnIQhfWFiITCbjxRdf5MSJE7zyyivSy7hr167LOOVLQ2hoqLRA1ob4t7CwMJfnidZG7X//C4jtFYVCqaC8qJKirMYL+AEUCjlDappR7958UdLuisnCgrFzzzl8PN0Z0ScWpxOWrDvM3ZOHIpfJ2HoqhaERkQR5eVJSYSRa543FbufJPzbz/qgr8FSqOFaSzwdpJ4iIiMDX17fOwhSriuB2tznEEIYdB7s5wfdsoNhD79KSaGphr90b1xVqW6fZ2dlUVVUREhKCn58fPj4+OBwO5HK5JL4vunk1Go2kDuXu7i5pPtcvT3F3d7+4eCNjvu8UuuniMDssfHFuqRRrq038VqsVuVwuxUEVCgXe3t6SNRUQECBZu76+vlitVtzd3QVXrFif2wpy254miClM7tTJ5eeu6oL/bIh10u7u7oSGhkr/XJG9+Pz9/f0xWiw89us6Xti0C4vdzphOMXx6zSzcVMoGx4uxX1EKs6CgoFFSP5qaA0B0oA/hIUGSTrT4DMB1DFXMJYiKiqJLly4M6NmZjhEB2B1ODpzOcHkdTXkHfH2EZKTyirp12CJsNhsOh8OlRyAjpRCD3oS7h5qOXUNa8TQah8PhYP1XWwC44o6Jl2XMfwpaTbi5ubnIZDJmz57NF198wTfffAMIL87o0aN55pln6NmzJ08++SQTJkzA6XSSmpp62SfeVvTp04fk5OQGMdiDBw9Kn/+doHHXEF2TeJF8tPl6wFETBffini2J2G2CW7lr5xC6dAzGYrWzduMJFl4hJJit35uIu0LJnMFCgf5H6/fyzOQxyJCRl1+Jt0bDueJifjp2ig/HzEQuk/FLyml+zE0hPDwcLy8vdDqdRLrB2gAWuE1hpnIknnJ3ci2FvJP9HR9m/UhGVY40x6YSRcQYV2RkJBqNxqVLuXbcTC6XU1VVRVZWlkRiWq2WkJAQHDVJLq5clyaTqc7/1pZoNJlMKJVKKVs6wM+f64KvQIaMo4ZEDp9PkBZ9kfgrKyvR6XQEBgYSHh6Op6enlIkt9m4VF3PRIoqJiSE2NhZdTWKVQt6yRuJVVqvkTh4b69rqcVUX/GejtrRiXFwcUVFRzVrJG04mctXi5axJSkEG3Dm0P59eMwt3letONc0pftXG5pNCZu+gTlF1dKLj4uKkOKmrZCxXm8GhvToAcOh047kUjW0idV5CKEFvaKjGZbFY8PDwICgoSGpZWbtJxOljGQB07Rlx2RrNH992mvz0Qjy9PRg9b9hlGfOfglb/isQSBZGYahPU0KFD6xwrZv7q9U2L5/9/4uqrr27g5jabzSxevJjBgwf/z8RmW4PO/YVM4+QjzW98eg+MQefjQUWZkeOHBCtIJpNx5QwhXvvb2mPEdwhmYLcobHYHX606wL1Th6F1U5OYXUhZWTVX9OiCwwnudiUy4OeTJykur+LlocJu+ONTB/gs8Uid5t+iVRAdHc3V3abzSf/nmBY6GjlyDped4uHjr/L62S85r89sMrOzOak/qBs3k8vlKGvavYkJSbXPr9+VSOwVGxkZSXx8PJGRkXUWbDEBqFOnTgQHB0uKUtpqDWF2QXQ/oSKJnJycOhmvtS3ZkJAQQkNDkclkklZzbm5ug8Vc9LQoPYQwiKfqovu8qU3J0ZwcLHY7YV5exNRYapeC1rQ9bAqtcUenFZdy+0+reGj1JoqrTIR6efLC6IHc0Lcb8przXM1LfPaVlZXSxsrVd+WUVrDh2FkA5gzq3ujcWtp/uUeckHB2Psu1GllTEOt3XWkqix2PnE4nKpUKd3d3KioqpA2AWHHQo3+HVn9vY9j0/Q4Axl4zHDeP5mu923ERrSZcPz8hG038UXl4eEifif0zRYifNRYX/SswePBg5s6dy5NPPsljjz3GF198wbhx48jIyOCNN974q6f3p6DLQCEz8uyh5su0lCoFoyYKFuvWdReTfMaN7oqfryfFJQY270jkrquFMpL1exMpKavivqnCf7+/dg93DB1ImLcXxRVVxGp9AEHNKNrNj8drBPe/u5DEjznnKS0tpbRU0HquvaDp1F7cFjuPD/o+w4gAgewPlBznsZNv8Mr5zzhdnYKXTtdAWxmalvqDunEzPz8/dDqdZBGLyTDi+fW7Eom9YsXPAwIEEhWbKajVapRKpSTaLzYwB4hyCDWlORRRUlIidc9JSUnBbDZL8WZRrchoNGIymbBarVKNqStUmgXLR1uLcJsqYzpYY90OiYq8ZBEEsQTm7NmzXLhwQdoYXOqYjRF4TnklT/2+iemffs/OlHSUcjlXxcfx7oSh9A0NaqA8Vn9j1pgudf3vf/W37dgdToZ2jqJHVOOu2JYKcXSKFERc0nNL2rwhcXWeVqvF29sblUqFTqejurqaqqoqqY9y4gkh16RH38tTDlRtqGbvb4cAmHjj6Msy5j8JrSbckBDh5SsoKJD+NmzYMIYNG0ZERESdY8XEInFR+m/B999/z4MPPsiSJUu4//77sVqtrF27llGjRv3VU/tT0G2oEGc/e/A8dru92eMnzuwLwJ4tZzDUdA9Sq5TMnyO09Pph+X66dghmwqDOOJxO3v1pB3OH9aRvTBhGs4U3V+3kxcmjUcplZBSUE6fVYXM4uPv33xkdEsPDPYXG1z9kneXTrESKS0saXaTDPYJ5pMstvN/3aUG5CTnnqjNYYljHvy98yB7LcUwyS4uk/kQ0le3s5uZW53ygSeut9qKek5MjlbOAEAcVRTWcTid+Gh8AnCphE6rT6XA6ndhstgbzrJ3pqtfrsdvtjS7mBTXZycEedVW3GrO8TucLv92+jZT5tAa1S2BE93dzkpL1CdXhcNT5bzFRrfZmIbO0nGfWbGbSR4v59fgZHE4n4zrH8vsd1/PklLFEuoj3ump6IX6H+JxdvR9Ldh5jV2I6aqWCR2Y2TSqukvdcbRj8vAXjw2K1U2221rkP4nWK7SnrtyysqhbCIu7urmvKVSqVZK2LWdQVFRWUFBopLzGiUiuJ7xXR4Ny2YM/KQ5iqzIR3CiV+yOUV0fgnoNVFWX379uXkyZMkJFxsPdWYBvGOHTuQyWTE16u/+6vh5ubGm2++yZtvvvlXT+X/BdHdI/DQuVNVWU3aicxmswo79winQ6dgMs4XsHXdCWZdKxDkzGl9+GnFQXJyy9m07Qz3zR/F7oRUjiZlsf1ICi9eM4m5b/3AwfNZ9IkMZFGfeD4/lsiFgkpiw7xJq6jgphW/8sPcq3GYLbyffIydhmIM6Sd4KyRYIpeyMqEvr6+vr7QoRnmEcUvolQyxd2ev8TiHzWcoc+jZzlF22RPomdORIR69CFe3Tie2OTUlvV5Penq61EwhJiamTsJc7UU9IyOD0tJSyerx8fFBLpeTl5eHzWYTYmgWcPNwQ+uppbS0FLVaTXR0tCTZKKohWa1WyUOkUqkIDw9vNFM41yjkI4R4Xqy/dFXbKy7gZwoFbe3u9VSc2oL6GwMxuawp1K8dFbOGxbIYh8NBZWUlfn5+nMov4u1Dp9iZdgFxqzMsJorbBvehs583Go3Q4lGcCyCpNdUvuRET0ZpSalq29wRv/S4keT48YySdw5o2FlzJgIobhtq1sYJwCDidUFhcRnR4kHQfxAQuNzc3TCYTPj4+dXS/K/XCBs5L6+ZyDrWv09PTE51Oh0ql4sxhwX0d3ysCtcZ1TLslqF0v/ce3gjLZ+OtGXlaJyH8KWm3hXn/99dxzzz0N4rX1cfDgQc6ePYvT6WTEiBFtnmA7Lh0KhYIeI4Ts4xM7mm6oDcIiMv1qwZpds+yQZIFUGSu5akYfABb/uAc/L3duqkmgevvH7fi4u/GvWYJF8NWOBOK8dEyMicCJjPxCA3G+fpRWV3Pjil8ZHdGJf3cdhEYu52hFEQv3rOVE7gXS09NJSUkhJSWFtLS0Opav2WxGhyfXhE3jCd+bWRgym1jPSOw4OG5J5rPyFTyb+gHr83ZgtDWsp3ZleTQXNywrK6OoqAij0UhmZiYpKSl1LJD66lcymaxO7apIyD4+PhTJygHo6NNBEu739PSkuLhYItnaSVRivXd4eLiUhOXKrZhaIbjkY3UX47H1a3srKysxGAwUGY2UVlcjl8kIc3O7pLirWMNst9txOp1SSU9zJUT1rW8xgUwst8orKGRrWhb3rNnKk9sPsqOGbEd3jOGnhfP4YPYkArBLlmF9lSnxnWmu5KY2HA4nn286wCu/bgPghtH9uHZEnyavvTHPhyvvQll5JeIh5aXFdd4NMdNdrAkW/1usA88vFMqBggNdSznWvs6wsDCpI9OZY0LooN+QuCafR3MQNwbnT6dycofQuWjCDX9Pb+CfjVZbuOPHj2f8+PHNHhcTEyNZwR06dGj1xNpxedFnbE8OrU8gYdsprn54RrPHj7+iN4s/2Ex2RjF7tp0mJEpYBPr3CuD3DZ4UFulZvvIIN141kE0HzpGRV8rbP2znhTumcjg1m40J53h/20k+vGkyVcjYm55FabGRmABf0svKWLRmLa+PGsWrnQfzWtpxMg0VXLv1V24OjmO4VrAqRHUv0XqoTW7uSjfGBQ1hVtxEUvSZ/JG/h13Fh7lQlceXab+wJGM1o4MGMS10NFEeQqmXXq8nLS1NsmZjY2NbVN4lWp9Go5GMjAzg4iJX20JWKpUkJSVx9uxZ3N3d8fDwkOZcVl7GOatQ29zZqwNeXl44nU5J9Ugmk0lZpqIVplKp0Gg0TSoJOZ1OzpUJ5V6hKneKi4slS12s7a1t1Z2tIaMonY6yoqI2i+FD3S5IABEREYSEhDRr+dSPeyoUCsrLy8nRG9mdV8zRMgMGq1D/qpLLmdGzK7cM7U+nIOG9KC4uxmazSYpbYla4j49PHeu1tvUpZni78mQUVhj499JN7DsnPJ9F4wdy/7ThTV5HUwpPruK6OQXCpkguk6FUXEyuExWtxE5SYua7qA1eWmakutqKXC4jOMjb5VxcWdkWi01KmOo/zHXpV0shbgxOb0nG6XTSdUhHqTFKO1qHPy3XPygoiN69e9O7d29JD7Ydfx36T+wFwMkdiVhqYkhNwcNTw+TZgkrP6h8PSkSgUMD18wYA8MPyA5RXVPPsrZOQy2Rs3H+WrYfP89zcCcQF+1Gsr+KV1ft4a840+kaEojdZqCippmtAABVmMw9s3UpGXhFPBXaip9aParuNT3LP8WF2EqVVgkB/bUtEjFOJNbBi4lGcNop7Oi3gm4H/4daYuUS6h2ByWPgjfw8PJLzC86c/5GjpaUpKSykpKcFms0kiAc3Bx8cHlUqF2WzGw8MDlUpVxwKpXQ8qk8kkpSnRehYJOde9lFJHBR5yN+LVMTidzgaqWDKZrMFC3VwWbKa+nAqLCZVcjrbKUsfKc7Xwn63RP+/o69Oi7NqmULuZRH3xiKZQ2yLT+vqxLSuft06n8fKJFHYWlmOw2ghwd+P6np1Zf9u1vDprskS2gFTuJSpuVVdXS8pljSUuufJkOBxOfjtwmjlvfM++c5m4qZS8eM0kHpg+Quoa1Bor1tX1iZuyvFKhhjbYzwN1zUaqtqJVfHw8HTt2bJD5npwixNujI/3RtEKW8eSRdKqrLPgHehF3ifW3YnhizwqhdHLstcObOaMdjaHVFq7NZpNa2AUGBjYan01KSpKaG4wYMeL/pY6vHY0jpmcUfiE+lOaXc2bvWfqOa9i5pD5mXTeE1UsPciYhi+z0MogR3NPjR8ezdVcKpxJz+OCzLbz8zBxuumIQi9cc5JVvNvHDi9fz/i2zWPD+z5zOKuCF5Vv47JpZ3PbTKk7m5iMrhB5BAZwuLuaT9Ayui47myYju7HQY+DL5OAeqSkm3m/hPbCS9a1kiYvZuRUUFxcWCVVdeXi7VRXoqPZgeNoZpoaM5U3medXk7OVRyghMVZzlRcZZAuS/xjkj60bqcApFIxOSmoqIiKTO0dsz1woULOBwOSRrSaDQKC7ebjKVFGwAYoO5GaUEJGrm6ASH6+voik8kaWGFNZcEeLhDchl29/ZE7nXWsWX9//wbx6XM1961LQECL29yJqK993JISLFcw2+zsy85n7amzbD+fjrUmkU8ukzEgNJDZPbowIjYKj5qa6PrQarX4+vpK12g2m9FqtVI9d0tUsY6l5fDGqh0kZtfEsyODefnaycSFXKy0aK0VK8KVxZmSI2zuOkZczI5uSRvIU0lC/Xnnjq2zKPduTQJg8Ogul7z2arVaqgut5CYXoFQrmbCgPTu5rWg14a5atYp58+Yhk8n45ZdfmiTcq6++GplMxrp165gypb1X4l8JmUxGv4m92LJkF0c3nWgR4YaE+zJuWi+2rDnOtt+TeeTlK6QF7aG7J3LbA9+ze/95du1L5rbZQzialMXJlFye/HgdXz49n/dvmcntn/3K9tOpeP/uxrszJ3Dfyo0kFhRjzrXRL8SfY6Ul/JiZSY7FzGtTpzKxYzwP717PBX05i3at4YbCbJ4YMFqqMTWbzVICU+3/Fv+/OL8e3p3p4d2ZQlMJKzM3sb3kIEWOMoo8yjjiOMcwr9501zV/D8rLy7FarQQEBFBWVoZaLRClWLYjag6L5Oru7k55eTlarRatVovdaeeD80sotVbgL/dmVvA4zHpTo4RYu2cvNJ/UtTdXcIMOCY5sQACuFnTRwu0ZHk5ocHCzrfdqoz4BifXCLRnDbLOxOzWTdafPsuN8OlWWi16WToH+TI+PY3xsFKG+Po32mBUhk8nw8/OTNjoqlQo/P78WucRT80v4aMM+tp4SSuQ8NWrunDyEBSP7NuhX21TDipa2LhSx94RQ0z6qf+dWue6PHBPO69e75WU9NqudvVuFWOvImhK/S4FMJmPPcsG6HTFnEDq/1oUe2nERrd76rFy5EhDisldeeWWjx1155ZVERwsvyfLly9s4vXZcTgyc3AeAg+uPtfica28djVwhJ+FAGoXZVZI7Li4miGuuEhKm3vl4EwajmVfuno631o2zGQW8+u0W+saE8dr1U5HLZKw6dIYP1+7mmaG96RMcgMlq53ROKWPCIpADO/LyWbR2HYEaLetn3cS1nQU5ySVnE5i06ht2ZAvxKI1GI2VzmkwmNBoNNput0ZrTIDd/rvKfyP2aaxhNXzwcblTJzWyxHuKhs6/xTdoKl/rGtSFmvKpUKpRKpdSarXaHGrlcjqenJ4GBgZIsope/jv8kfcbRstOoZEqu956OWS8oU6nV6hY1Mm8qqcvqsLMjR7gv4zp0brb+2GyzkVoixBK7BQW1WvO4vhu1uRIsq93OzvPpPLZqI8Pe/px7lv3O+jPJVFmshHl7ceuwAay+43rW3nUjd40ZTueoyCbnUtvF63Q6CQkJaVGTBICs4nKe+mkjV725hK2nUpDLZFw1pAdrn1rITWP6o1TIG7iQm7LgWyPSkZFbSmJ6AXKZjOG9W65nXFhUybmUAmQyGNi3Q4vPO7z3PJXlVfj4edKrnuBFW0RKqo0mtvwgZG5Pvnlci+fRjoZotYV7+PBhZDIZEyZMaPbYSZMm8eWXX7J37942Ta4dlxcDpvRBrpCTcTqLvLSCFiU+hEf7M3FmH/5YeYzFH27hja9ulhaXm64dxr6DKaRnFvPmBxt5+Zk5vHzXdB58+zfW700kJtyPm6YP4sVrJvHMz3+w4XQmSqWKJ4b14fPj59iensWe8zlM7dmZvbkXOFNYyMwlP/D65Em8OnwyV8R05bG9G8gxVLJw8wpmx3bjmUFjiYmJwcfHB0ByLTbVOk+j0aB2KuleFc1AbTznFFkckZ0lz1LEmrztrM3bwQDv7kwNH01vn67IZRf3ob6+vgQEBGAymfD29pYaC4glJkCDcgyNRkOes5inz7zHhapc1HIVj3ZeRFd1B4lgnU5nixqZN4WD+VmUm034adwZGByBskaUozGcLynB6nDg4+aGF9RJsGoJ4TbmRq3vas6vNrPs2CnWnDpLefVFOcJgLy1Tu3Vmeo8u9AgLlhShRDTVjB1cu3ibq/HPL9fzxaaDrDp0BluNVOf4nh25d+qwOu5jV+O3xoJvCr9tPwnA8N4xBPi0fIztuwWlq57dIvD3a/q82vdu/a+CMMW46b2pqq6qM/+WtPOrj53L92OsqCI0Nph+E5r3CrWjcbSacHNyhJhCSzKPRQs3O7vp5uft+P+Bzs+LXqPiOb79DLt/PcC8f81q0XnX3zGWbetOcupoBvu2JzF8XDdA6CT01CPTuevhJew5kMKva45x9cz+PHjdGN7+YTsfL99DqL+OmUO6oTcaeeP3Paw5nkK53sBtQ7sQ7K5haWIKf5w6z4AO4VT72DiRn889a9ZyTa+ePDV6NL9NmMd7J/azNP0Mq9IS2Z6VyqO9hjIzugtWq7VOvWVt8YXaC7ZWqyU8PByn04lCoWC4Z1+uDp3GSX0yq3O2kGLN4nDFaQ5XnCZQ48uowIGMCBhAtEcYXl5exMbGYjabMRgMlJSU4O7uLikWid2nxO/LqMrh++w17C4+AoCvSsdT8XfS0Uv4LYiLW/3+rI3VhTaF31KEEq/J0Z1RtiBOdyo/H4A4nY60tDRJFaulZN+YG1VcxE8XFPPr2TSO5F2UL/T39GBqt85M696ZvpFhDUi2Npojg+Y2VrVRbqzmq62HWbrnOJYaTfDhXTtw39RhdIt0vdGsP77FYqkjgALNbwrqo7jcwKodAuFePb53o8fVH1utVrNhi9DOb9yo+BZvRooLKzm6V5BwHTGxS4P72Zp7KM7p9082AjDttgntuTiXiFYTrqhU1JKsRlE4XhSBb8dfj9HzhnN8+xl2LNvbYsINDPHmqhuHsfSrXXz59h8MGNYJjZtQSN85Lpi7F43lg8+38ulX2+kQ4c3c8b3JKihj+ebjPP/FRrw83bhu9ADUSgWvrNzF7tR8qqx2np0zinAvTz46epojGTmEe3txVbdu/JaYyNKTpziQeYGHe/XkxuBY+qu9+CjzNBkmA88e3cGycyd4MK4PUVpvyRIpLS2tI4MoLtgymUzqdmMwGKT4aldLB/y9ZmFwN7Gt+CAnrOcpMpfxa/Ymfs3eRKDGj17eXeikjSZY7ofaoZBKYLRaLRo3DWa1jVx7MYllqSSkJZJsyACELkFjgwZzffRMfNUNs/RbKglYH+LCW2yoZF26YAFNCoqU2h02tfgfq9n4BiF0x+rYsSM2m63FZN9Ykk92SRmv7T7CgZyCmmuHQWFBTO0UzZQ+PfFtYZWC2NtVLPepTywtuWdmq40fdyfw1ZZDGGr6BPePDee+acPpF9u0KEpLxm+thfjpr3sxWWz0iAtlSM8OTX5/7bHTL5STnlmMRqNkwpj4Fm9Gju3OxuFwEt87nKAwLynBTyTX1r53SQfPc/5oGiqNiqmL2t3Jl4pWE66/vz/5+fns37+/2WPFY3wvg0B6Oy4PRl41mI/u+5rzx9LJOpdDZJeWKTPNv2UkW34/Tn5OGT9/tZOF914MKUwc04k9+5M4djKXF99czwevzeOha8dQWFLJjmNpPPb+at575ErmjuiHv7eOx5as5+iFIh77eSuPTx3A4mtm8tjarWSXV1J0LJmbB/djXco5MioqeGjPXm7p2YNRXl68EtOXvXYDX50/wWlDGXef2sk14Z24y8eb0CAhAUjUka2/ezcajZL4Q35+PuXl5Xh7e2MymXBUWpisGcKijnM5Z8tgZ+FhjpcnUWQuZWvhfrYWXnzX5cjQVKlBBuYiKw7qbiblyBnq34crIyYRq228EUZrk25EGAwGcnNz+T7tNGaHnSiNJ0EWwT3d3OKfkCtoTXfw9ECv15Obm0toaGijruH6BC7G/2orgR0vLOGRXzdQaTYjl8kYHRHEzI7R9ImLERSerM2XoIkQy31ETezy8vI6yVBN3TOn08n206m89fsusksEoYiu4YHcP20Ew7tGt6pcqbHxxXfHYDAQHBxMZWVlk5uVo0lZrNkleCEevHZ0s3OobX1u2i60QR03Kh4vrRvFxYZmwyY2q5Nt6wSreNrV/V2Sa2vfu1/e+l2Yx7Uj8A7432hJ+t+MVhNuz549ycvLY8uWLWzbto1x41zverZv386WLVuQyWT07Nnu9/9vgXeAjn4Te3F4QwLbftrDTS/Mb9F57h4a7nx8Gi8/spQV3+5lzJRedOgoSANaLBZunNebwmIj2bkVvPzWel57fg4LJ3WltFzPybQiHnpnJe89ciXjenbk8zuu5P6vV5NcWM6zvx/ko1tn89ttC3h89R9sT07j+30JTOzakeoACzsyM/ny5Cl2eXtzf/duzPCLoE83LZ9cSOS4voTvs86xr6KQN0dNp6ObV6O7d1G4Qq/XU1hYSHl5OYGBgqC8WG6klqsYHtCfXprOZCoukGK6wAVHATn2QvItxVQ6jThwUu00I+oMypET7OZPR200Pbw7M8C3u6SZXB/1Ca0xSUJXx4qfmc1mSvWVrC0S2ryNUXuj0WgkcY7GFv8Kk4n0mpaU3Xx9kZlMUiek+q7h2jHM2mVKTqeTtLQ0SkqEJLNDFdV8fyYFh9NJfFAAT4wZTKBKQUlJCfn5+VKZTktRv9zHYrHUuabGLOyc0gpeWbGNPWczAAjSeXL/9OGM7hyJ1WqRvBrNEV5TZTr1ZRjF+TZ2fYYqM698swmAOWN70atTWLMbGpEgzyZnc/y04P6/5spBdT5rzDLVarWcOVJIlcFCcLgPY6f2RaGQN5oF3xKPRnZyLntXCvHguY82L5bTjubRaof8pEmTAGFBmDVrFu+//770AoKQQPLBBx8wa9YsKQOuvSTovwvjrxsJwObvd7bK3T98XDyDR3fBZrPz9r9/k/rlCuSh4Y4b++PpoeJ8WjFvfLAJp8PB0wtH0yMmAJPFxoNv/8ahM5n0j4vghweuJdLfm9wyPTd+uIwT6bl8Mn8m/5owEqVczuazKVzIq+DOvv3wVKk4V1HBvw4fYV9ZOYO7dOO7iVfzUt/R+KrdSKks48q1P/Bu4iG8AwMIDAwkJCQEp9NZJ+PUbrdTUVGBWi3o74qlPKLwhMViwel0UlpairHcQA/PTkzQDOLuwPk85b+IJ9xu4nbnLG60TWGBaQILTVN52vMWXu/8CA93uZlJIcMbJVto2MGnMUlCV8eKn2k0GlYXZFBhtxKgVDPQ3ZeSkpJm3YN7MoXyoQgPD/w9PAgNDaVDhw5NtporKyurM4eysjLMZjNubm7sLirn29PncTidXNWnO1/Pn0Gouwa9Xi+pJul0ulYlGonlPr6+vlitVpRKZZPX5HA4+WHXMea88T17zmagUii4dcIgfn9yIWO7RlFQkO/y3rYFremj63A4+ffnG8gurCDE34v75gm/t6Y6ODmdTkkqdOO2VJxOGDm0Ex2ihMSu2mIa9d9tp9OJ1WJjzc+CVTxv4UiUSkWrMqldYelrq3A6nQyZ0Z/obn+/tqV/BVpNuLfeeqtUoG80Gnn44YcJCAggLCyMsLAw/P39eeihh6SXydvbm1tuueWyT7wdbceIKwfh6e1BQWYRx7acatW5tzw4Dg+thvOJufz8lVAqIC4G3eI78Oy/pqFSKjh4JJPlq89QbTTw8NyBDOwWgcli46F3VrH9yHligv344YFr6RsThsFk4b6vV7N422EWDe3PDzfNJVTnxYWyCr7bd4JbevVnYHg4VVYr/9m/n39t245VpeKGPoPZdtVtXBnXHSfwTeJRrtryC8lWgUjz8/PrtO2LiIjAz88PjUaDw+GQLJTaVoNowRgMBjIzM7FYLPj6+qLT6ZA7ZHjYNSgqnPjJvAlw88VqtrRYpak+odUuK6qvVtSYklG1HH4vEWKx14d2IjI8XIphN0Vu29OEes6xcXGEhIRIYZ7aZSH1rSigzhzEY7Zm5PBzsmBh3zq4L0+MGUJJUSH5+fmUlJTg7e2Np6dnk8pTjZWnuFJpcoW8skpu/XQFb6zaiclio39sOCv+dT33TxuOh0bd4j61LUVL++gCfP7bPvYcT0OtUvD6fTPR1vSMbWpOors6OSWPg0eFLms3L7io6FSbPOu/2waDgY0rj1FSpCcgWMfEWX0v6VoBCjKLpFKga59svPyzHa1DqwlXp9Px5ZdfAkjyZw6Hg/z8fPLz8+tYTHK5nC+++KJd2vG/DBp3DRNvENRiVn+8ocXnGQwGzFY9Vy4UJB9/+nIHiccv1FkMhg7qwtOPTkcmgx1709myK4voqAjeeWgO4wZ0wmqz8+RHa1m14xS+Wne+uutq5g7tidMJ76/by7++X0eXoABW3XE9k7p2xOpw8Omug3ha5NzWuzcquZytaWlM++57tqel4evmzjujpvPtxKsJ99SRbajguo3LeP7wdirNJqkvaFlZGUqlkri4OOLj4+nUqRNdu3YlNja2zuIu9p91c3OTskVF2UIx21mpVFJVVSUJcLTUbVqf0LRabaNuwsZciC8c2kaV3Up330Cu6z2IuLg4oqKimrRgqq1WNqcIQg9jO0RLsW4xHimiPtn5+vo2UMLKl6v5OU2oVLi+f08emThK0oAW+2GLzRhEF76rWk9R1zo1NZW0tDT0ej3QsvrWzSfOc/VbP3AkNRt3tYqnrxrH13fPJSbIr879E7slGQwGrFZrm/vQuro3jbXh+3HjURavEUQinlg4gfiYixnRTbmFxYSx39adA2D44BjiYlx3c6pP3BXlBn7+cicA828ZhboVEpCNYckLv2C32ek7vifd2tvwXTbInG18C5ctW8Ydd9xBZU1cqHbsCYTyh88++4xrr732Mk31vwtiN5eKiooWCeD/tyHrXA63xD+ITCbju/Mftqgmt7i4WMp6/PiVDRzdm0lgiDcf/Xwn3r6edY5dtS6Bdz/ZDMCtN47khvlDsdkdvLp4M2t2C4kkt88ZyqJZQ5DJZCzbe4LXV+3AZnfQMcSf92+ZSYS/Nz8dOcFrm3Zhsdvxd9ewoHcXfs++QEpN4s4NfXrz5OjRaJRKDFYzrx7eyY/njgMQqHbnobjedHPTCTHaGiGDppKL8vLyOHHiBBUVFUJbwKgounfvLn1ms9mwWCxoNBo8PDzqtBBsDq5iuGJGdf2YnnisqM2sVCrZVpjF44e2oJDJ+H3GjXT3D25yfHG81UlJPLx+A5He3iyfNZOS4mLp3Q0MDGy0lrX+eJn6Km5asgKD2cKVfbrznxkTkclkUju62vfGYrFIQiGu7ndGRgaJiYmoVCqsVivdunVrttTQarPz9u+7+GnPcQB6RIXw+vVTiQzwcTn3/Px8cnJyJFGSsLCwRp97a8t9oGEbvoPJpXz4iyB7e8eVw1g0a0iLv0Ov17Puj6N8uvgQSqWcd16eRXior8u51P/e/Zsz+fnL3YSE+/LlqvtQqS6NcC+czeG2Hg/hcDj5YP9/iB98ac0P/gloKR+0uahq/vz5pKSk8NprrzFx4kTi4+OJj49n4sSJvPbaa6Smpv5tyfbvgMgu4QyY3Bun08lv769r0Tm1d+jzbhtMaIQvRfkVvPbEL9jtdWPBs6f35c5balr1fb+bH5cfQKmQ88yiSdw8YzAAX6zcz38Wb8ZqtTGtVyzvLJiIv9adlPwSrnn3J/aezWTBwD58cdUUwr08Kak289HBU0wIi2ZhP8FttuT4Ca786SfOl5SgVWl4Zdgkfpo8nygvb4os1TyVdIDPc85SYtCjUqmkMpj6EK0VvV4vLdAeHh6SdKRo4QQFBREXF0fXrl2Jjo5Gp9M1uTDXtoLE5B3RepPXCFW4suZES8/NzQ29Xk9CVjrPHRF6kd7Tawjd/IIaWFeNxQiXJBwH4Kru3XB3c2tUvKKp1oVGJ9zx8yoMZguDoiN4Yfp4ab71701AQABqtRofH59G3bnV1dUYDAbpX3V1w3aKtVFUaeDWT1dIZHvLuAF8d988l2Qr3j+xW1JISAgOh6NJt3JT8dXGIFqaOp2OZduSJLK9cfpAbpkpvONNPf/az1up1PDrGkH/eMaU7ripHY3Opba17eHmzaqfhMSmG+4ed8lkC/Dtsz/jcDgZOnNAO9leZrSZcK1WK6dPnyYqKoonn3ySY8eOcfr0af744w8ee+yxZhVg2vHX46qHhMzDjd9so7JE3+zxtX/osXHR/Pvda9G4qUg4mMbiDzY3OP7aqwaz6AahF/IX3+1iydL9yGQy7rp6OI/dOA65TMbqnad58O3fSMvIIlgj49U5w+geEYS+2sw9X63km62H6R4WwruTRjA6KhSH08lXh06QnV/BR1dcgZ+7O2eLipn9w4/8ekawnIeFRbNh1s3c0FUg5Q2FF3g09Qgbzp3CarU2WV8pWpUVFRVUVVVRXV0tNS1oSwJKWxby2jCbzZSbq3k1JQGTw05//xDu7zPc5biuYoTHcnNJyMtDJZdzTa9ejcZIm5pnebWJ239eRbGxis5BAXx6zUzUNTFeaOgGdmuE1GvDvaYxgfjP3d290Xtw+kI+177zEwnpuXi5afhg0UwevGIkqlpzcIXW1Jy6uneuNiG1/2a1WrHYHLzxwy7W7BfEJm6fM5R75o6Q3o+WPv8ly/ZTWKwnKNCLuTP74nA4Go0/177fv/90hGqjmbiuoYydeunVIEkHz7P714PIZDJueeW6Sx6vHXXRJsLdtm0bHTp0YPz48SxYsIDx48cTExPDli1bLvf82vEnov/EXsT16YDJaObXd9c2e3z9hTWmUwgPvzAbgBXf7WXLmuMNzrnxmmHceqOQpfnVkt18vWQ3TqeTq8f34c0HZuKmVnI4KZuXvt+LDRXebirevm4CVw8R4rrvrdvDK6v3EBYSyivTx/PMhBFolAp2nE/nnU17eH/qNEZER2Oy2Xhs4x88vvEPqq1WPFVqXho6kc+GTiVE40Gp3cLbhef5LDuJYn1lo+3WgoOD0el0+Pv7ExcXR2BgIEpl262GS03ecSoVvJh8hHRjBf5qN94cMgmlXO5y3PoEo1areWPXbgBmd4sn0NOz0Y1Do0laViu3/7SScwXF+Lm78eYV4/FUqy/OzwUptSTxyc/Pj/DwcHQ6HeHh4fj5+TU4BmBjwjlu/mg5hZVG4oL9+OmhaxnTvWUN1VuagAWuydkVWdb+W1JqDi9+v5/9iXnI5TKevnkit84eWmczVv++mkymBvfrfGoBS2vkGB+4YwI6nWcD5TRXsfALaUWs/UXITL7t4cmXrALldDr57OFvAZh402g6dG/PTL7caHUMNz09nZ49e1JVVdXgM3d3d06dOkVsbOxlm+B/K/7XY7gi9q46xPNXvom71o0laR+3qbj924+2sPSrXahUCl77YiHd+zbsbPLTLwf5/FshseOaKwdy5y1jkMlkJKbl8+A7KynXV+Onc+OxawYzsJfQUWXZ3hO8vnIHNoeD7pHBfLBoJoE6LWfyCrjvl7XklFfiplTyysyJpOvL+WD/fhxOJ10CAvhk5gw6+PoKyTnZWXyVfpo1BRkABKjdeKhjX2Z26yPF9GrHxcTyIHERFmOQ9aX3AClm2VjMr368zVU8s7HYnslm5e7tq9mWnYZWqea7sbPpFx5dJ25ae1xRK1ccZ09uHveuXYtGqWDrLbcQ2kTtpavxlG5u3LtsDXvSMvFSq3hlzCBi/HzqXENLrs8VWiKy8ekfB/hs0wEARnWL4bXrp6J1a3ldb2vgaj4lJSUUFRWh0+koKCjAy8sLtVpNpV7PzlMF/Lz5FFa7gwAfT165ezp9u0Q0GLf+/fHy8kKv10v/HRQUzGPPreJcSgGjh3fhxadmSXMpLS2VOlS5ioU/e88SDu89z9AxXXnuvUu3Rncu38fL17yLm4eGxckfEBDmehPUjob402K47777LlVVVS4XF5PJxHvvvdfaIdvxF2LYrIHE9elAtcHE8jdWt2mMG+8ex7Bx8Vitdl546GdyMht237lu7mDuv2M8AEt/O8x7n27B4XDSLTaExf++lshgb0orTby8ZD/J2eUAzB/emy/uugpfT3fOZBWw4L2lnMspontoML/dtoCRcR0w2Ww88tsG7CYH3111FQEeHpwrLmb2jz+xLTUNrVZLbEQkzw0ax3t9xxKq8aDYYuLpxP08tn8TJSZh41jbGoqJiWmQvQx13YNpaWmkp6c36ypsiZWl1+tJTU2V/un1egxWMws3r2BbdhoahZKvJl5J/4gODeKmtcetbb2iVvPidiHme+uAAU2SravxVG5u3PnzavakZeKuVPLk8H70jIpocflSc2jKRW+y2Hh8yXqJbG8c05/3b5n5p5FtY/MRN1wFBQWUl5ej1+s5dDqd577dx/cbT2C1OxjYLYIlL17vkmyh4X1VKpV17tfS3w5zLqUAraeGB+4cX2cuonCIq1j4od3JHN57HqVSwa0PTb7k67eYLHz1xA8AzPvXrHay/ZPQasLdunWr9P8XLFjARx99xHXXXefy83b890Mmk3HzS9cAsOqjDRRmFbd6DLlczr9evpK4+BAqy6t46u7vKCtpSEBXzujHvbeNRiYTspjfeH8DdruD8CAfvv73dfTqGIah2sIDb//GzmNCGcuAuAh+eOAaOgT5kl+uZ+FHyzl0Pgsfdzc+v3YWtwztD8Cnuw+y/PApVlx7DX1DQ9Gbzdy2ahWfHjokJaqMj+vKZ33HMSskBhmwISeVib99za8pghyeuODqdDp0Ol2Tblcxmao5omlJ7LesrIySkhJsNhslJSUk5mYxd91PHMjPwlOp4tMR0xkcfNG91xLr8Pmt2yg0Gung68M9gwc3+wxrz9OhVHHrjys5kJGFh1rFh1dOoWdwQKvKl9oK4RkvY+PxZJRyOc/Pm8ijM0eh+AtE80Wy9PLywmhTsnjzed5cfozsIgOe7mruu3owz908BrXcgcPhcFlX3FR8Oydfzy+rjgPwwJ0TGnQEauzeWq02Pn9LKOebdd0QwqPrdj1qC359dx35GUUEhPtxdbuq1J+GVruUvby8qKqq4oorrmD16osW0axZs1izZg0eHh6XrOryv4C/i0sZhAX6kTHPcWp3EuMXjOSJJfe3egy9Xs+5pDTeeXojpUVG4uJDeOvrRbh7aOock5eXx/7DmSz+OQGnEyaO6cYTD09DqZBjslh59tP17DyWikIu4+lFk7hihFCSU1ll4qHFazicmo1KoeDVBVOY1EeoD1x54gzPrtmC1eGgf2QY7109nU8OHWTJ8RMATOvcmdenTMZdqZSIKtlYzosJuzlbJnS2GRISyb8Hj6ebX8PaR1cuPovF0qJSo5aUm2RmZpKSkoKbmxtHygr5uiyTSpsFH5WGF7oMIt7bv1Vu3GUnT/HU5s0oZDJ+mjePAREt08sGKDIYueWHX0kuLEGrUfPZNbMYEBXe6DW0pZymMRxLy+GR79ZSoq/C20PD83NGM6hzVIvHvJxzEXEmNY9vVu9nz4kMnIBMBtOGdWXRjIFU6csadRU39z7o9UaeeHEtmVmljBrWmRefmtVgro1dz4rv9vDVu5vw9dfy1er78dS6XdI1FueWcnOX+zEZzTz+/X1MuH7UJY33T8Sf5lI2Go0ADB06tM7fhwwRas6aS+9vx38fZDIZd7x9EwBbf9xN4v5zrR7DbDbj6aXmkVdm4KlVk5qUz3/+tVySfxSPsdvtTBzbnVuv749CIWPzjkRefWcddrsDN7WKV++dwfQR3bA7nLz45R+s2iEoYek83Pjk9jlM6NURq93OY0vWs+ZIIgBzenfnywVz8NJoOJqVy80//MpdAwfz0oQJKOVy1icnc92y5RRXVUnWxrDojvw+40Ye7z8aN4WSA/lZXPH7d7xwcCvl5rrvsOhKFqUgPT09iY2NJSYmptmEnNru4pSUFKGFWj0ryNfXFy8/X34szuDdovNU2ix08wnggx4jGRge3So37pHsHJ7ftg2AR0YMbxXZnskrYO5XP5NcWEKg1pOfFs5nYHREk1b6pcoHgkAs3+84yq2frKBEX0UHfx0PDI3F3VxBTk5Oizfwl5oRLsJqs7PpwFkWvfQzN7/4M7tryHZk72i+fvpq/n3bVNxUsharhtW+TpFAf1xxjMysUnx9PHjk3kku75ure1tarOenL4RciJvvm3DJZAvwzdM/YTKa6Ta0M+MXjLzk8drRONrsp1HXylR09d/t+N9ClwFxTLl5LAAf3f+NJOXXUojuLw8vGXc8OQ61Rsnhved5/6XfJWKp7SIb1C+SJx6cjEIhZ8uOJF57T3AvKxVynl00mfkThZKe/yzeLJGuRqXkzRunc9WQHjicTp75+Q9WHRJKgYbGRPHzzfMI9tKSUlTKdd8uY0RkFD/OnYuvmxunCgqY8+NPJBVe7NWqVii4q9dgtly5iGkduuBwOlmceJRRK77gs1MHqbYJnW5EgvPx8ZF0mBtzO4sQs3czMjIkUYj8/HxSU1MbEEJCRTGPJB9kfamg4HRd5958P3YOIR7aVrlx00pLuWP1aix2O5M6duS2gQNb9OycTifrjp/musXLyKvUE+Pvy08L59EluG2lfY3JNrpCmaGa+7/5nbd+34XN4WBobAgLuvhg05dTVFREaWlps3Fh8ftEVSmdTtemjPDcogo+WbGHGQ9/yTOfrudUSh4KhZxpw7ux9D838fbDV9GjU1Sd+G5LVMNEiBuCzdtPsvYPIYzx5EPT8PH2aPEcv/1wC1VGM526hTFhZp9WXZ8rnDucwubvBAK/692Fl+wRaEfTaLVLWS6XI5PJmD9/fp2mBBs2bGDZsmXIZDIWL17c4Lwbb7zx0mf7X4S/k0tZRFlhBTd3uR9jRRX3fXQrM+9ueTJGfffX6SPZvPTIUhwOJwvuGMMNd41z6SLbtS+ZF177HbvDyZwr+vLAnRMkydB3f9rB0k0JyGTw8l3TmTi4C06nk8pKPW+t2c3qY8nIZPD69dOY0rcLANnlFdy85FculFUQotPyw01zsePk1pWrSC8rQ6tW88XsWQyObFjysDsng1cOb5fczEHuntzbeyhTQjpQXiQ0jJfL5eh0OlQqVYMm7LWvS1xcxSYFAQEBGI1GdDodnTp1oqKiggqNgq/STrElS6jh9FNpeLhjX2Z179sg47g5N252ZSXXLF1GvsFA75AQPps2Fbnd3qxr1e5w8PbmnXx98DgAfUMCeGfOVLzcNG12zbY0c3n76VReWL6FUkMVaqWCm4bGE+8lkzKCq6qqCA4OZsCAAU1mPovfJ+pg+/j41Im/NgWb3cHeE2n8tu0kB05nIK6GAT6ezBnTizljexLg09B70RrVMBHFxcUkns3gtff3YKyyMHNqDx65d1oL7qiAc6eyeeCGLwB49/vbiO91aWU7TqeTB0c+S+K+c0y4YRSPf3ffJY33T0ZL+aDNhOsKtRMF6qO1FtN/O/6OhAtC4tTH93+Dp7cHXye+h39o23sZb/j1CO+/JPTTfPj52Uya3c/lcVt3JvHSm2twOgXB9oXXCaLtTqeTN5dsY8XWEygVct59eA7dov0ki3HxviT+SLyAUiHno1tnM6yLUI5UZDBy0/crSC0uJczbiyU3zcXLTcMdq1ZzOCcHtULBm1OmcEXXLg3mYnc4WJmayHvH95JtEPqq+mncuSomnlnhHfFXaaisrMThcEhkAjQgGLPZTFFREUqlkpSUlDqazGm2alblp7G3JA8noJDJmBHcgXu6D8RmrHYpt9hUfDKnspJrly0np7KSOD8/vpw+DXN5ebOEV15t4rGVG9mZIjQ2mN2tI9fHx6LTaiWrvrGSo6ZIuLYEqCv5yBK9kTdX72L9sbMAxAX78fgVQ/GW27HZbCQmJqJQKHBzcyM+Pp7Y2NgmCV/8vtrlOyEhIU3OsdxQzeqdp1ix5QQFpRdFX/p0CmHmqO5MHtr9sqg21UZRcSkPPrmc7NxKYqJ9eeeVufj5+rToXIfDwUM3fsm50zlMuKIPj7586Q0Fdq3Yz0vz3hHKgM69T0D4pSdf/VPx/0K4tU+tnyUp/k2UiGsn3P8N2O12Hhj2NOcOpzLyqsH8+5dHL2m8xR9sZtk3u1Eo5bz62U30GhDj8riVa4/x3qeCcMozj05n4lghWcrucPDsp+vZcigZrYeGd+6bgkZmwdvbm7Kycr7Yd5btSZl4atT88MA1xIUIi0aRwcgN3/1CekkZ0X4+/HzzfDzVKh7ZsJGN588jA16dNIm5PXu4nI/ZbmNZ8km+OH1YIl65TMawwAgGe/kzMaoTzmqT1FNXJJjy8nKpz215eTlKpRKr1YpBreBAWQHrclJJN1ZI3zO9Qxfu6NIXN4OpSYJszGpMLSnlxhUryDcY6ODjw5dXTMdeKQh7iE3SXRH48ew8Hvp1HbkVejQKBfcO7MnIyBDJHVpVVVWHMDUaTYvrbRubq9VuZ+meE3z2xwH0JqFh/U1j+nP3lKFYTNXk5eVhtVrR6/V4eHgQGBhIcHBws4IOrakFzswr5fu1B/njQDKWmvwCb60bU4Z0ZlBnfwJ0bq2qJ24pnE4nL725lq07k/DWufH+q3PpEB0CNPSOuNokbFqdwDvPrcTdQ81Xqx/AP/DS5mYxW7m1+0PkpRVww7/ncuPz8y5pvH86/lTCbS3aCfd/C6knMrhn4BPYbXaeXf4wo64e2vxJjcDpdPLakyvYufEUOh8P3ltyO2GRrmv8Pl+8k59WHEStUvDB69cR30WwHi1WG/e88SsnknOIDPbm2euHoFHJUSgUBAQG8ehPmzmSmk2kvzc/PngtPp6CTGCB3sC1i5eRU15Jj7Bgvr/xatyUSp7buo2fT54E4JmxY7i5n2vLG8DmcLDpwnl+OJvAvrwL0t9lQIynjr5B4XTS+eFutqFVKLFbrdiASoeN3Co92TYhIzrbWCmdq5LJmdmhC3f0Hkpn34AWZdfWthpFUs8ymXhwy1bKTCbi/Pz4ZOoUHJWVTbpWnU4n3x1M4M0tu7E5HET7+fDuldOI8vKo02g+Pz/fpcVe+/s9PT1dCoAADdyt20+n8f76PWQUCk0n4iOCePbq8fSICpHm1dYM45acm5pdzOI1B9l88JzkNo4M1DJ7dHfmThqEQV/RpFV+qVj84x6+/WkfCoWcd16ZR5+eUUDLNgtGvYlFs96nvNTIogcmMvfmS09sWvHOGj5/9Hv8Qnz4NvkD3LWNS2u2o3n8aYS7c+fONk1o9OjRbTrvvxV/Z8IF+PbZpfz4yq/4BHnz9Zl30fm3fUdtNln516JvSD6TQ2znEN79/jY0bqoGxzkcTp5+6Tf2HUolOFDH1x8uxMtLyMIsqTBy0/M/UlhqYPyAOB65dri0uJYZq7nuvZ/JLa1kXI843r15hrTgppeUce3iZZRVVTOuYwdenDgCtVrNe4cO8f1JIRnr2TFjWNi/cdIVkVJewpq0JNalJ5FSWdaqe6CQyeju5ceUiDgGePgSGxreqgW99sJsNptJKCnlrVOnMNntxAcE8N3cq3FWVdVxrWq1Wry8vFAqlUK7QZmcp37fLLmQp3XvzEtXTEBbL8HHFYGJMWnx+8WSqNr/v74ql16vZ/vpVH7Yd5pzuUJ9t6/WnfumDmfO4O7/L7W1GbmlfLFyH1sOJUt/69nBjzG9Qgj2kuPr60vXrl0ByM3NxWg0YrfbiYiIICQk5LIkEa374yRvfLARgEfvm8yMKb2lz5pzvwN8/tYGVv6wn4gOAXz6y92X7Oo2lBu5Me4e9GVGHv7yTqYuGn9J47XjTyTc/3V8++233HzzzS4/y8vLIyQkpEXj/N0J12K2cnf/x8hMzL4sCRXFBZXcc82nVJQZmTynHw89N9vlccYqM7fd/x05eeUN6hNPpuRyxyvLhJKhO6YyZVi8dF5SdiHXv78Uq93OM1ePY96wi4vasaxcbvjuF2wOB9d178TM2HDMZjO/XLjAqiyhmfvz48ZxQ98+Lb6ewioDhwuyOVdWxNmyYgqqDJSaqnA4HDgdDnxUaoI1nvQKCadvaCRdPbypLC5ptQSiiNokuPz0ad49loDD6aS3vz/vTJpIdGgoeXl5pKWlSeUpQUFBUrlKYkk57x48SZGxCrVCwROTRnHdgN5tsiKNRiNGoxEfHx+ysoRm6ZGRkRJhePv68vuBk3y74yiZNU0x3NVKrh/Vj4VjB+Dl7loc43LW0RaW6vl69QFW7zyNo2aJGzegE/PG98BRVUJZWZkk1RgVFYW/v3+r2vm1FNt2n+WlN9bgcDi5ft4Qbrupbo1rcxZuRkohd8//BIfdwSuf3Ej/YR0vaT4AXz/1E0tfW0l0twg+P/EWimaaQLSjebSUDy5vVsD/EF588UViYurGE318fP6ayfwXQq1R8fBXd/Hg8GfYsmQXY+YNY/D0/m0eLyBYxxOvXc1Td37PHyuPMXB4J0ZM6N7gOE8PDf9+fAb3PPoju/Yls333WcaNEoi1V8cwbpk5hC9X7eetH7YzpGcHfLwEV1h8RBAPXjGCN1fv5O3fdzMyPoZQX+HF7xcZxqOjBvHajgMsTUwhXCUjCDtzwsIwmy1sKCzkhW3b8HF3Y0aNtdMcgjy0TI/pyvSYusc3RhpOpxNPlbrO31sDmUyGp1bLJwkJfHH0GABjw8N4qE8f/L28MBgMFBQUUFlZic1mk3rSWqxWVqZm8+PxRJxAXIAf7109nc5BzVvXrq5Fq9VitVopLCzEZDKhVquRy+VUVFRgtNjZdjCJVUfPUlAulDy5q5RM6hbJTWMG0DHatfyhiNpWdFvjqMZqC0vWH+bHjUcxW2wAjOoXxx1zhtEpKrDGXe6G0+lEoVBI8om12/mJC6fZbL4kwt22K4mX31yLw+Fk+uReUhOP2hBd/q7eC6fTyUf/WYPD7mDY2PjLQrYleWWsrGnHefPL17aT7f8z/rGEO3XqVAYMGPBXT+O/Gt2GdObKB6fz67tree/OL/jq9Dt46DzabIX0HRzH/FtGsvTrXXzw8hq6943G178h8XTtFMoN84ey+Me9fPj5Ngb2jZFcyzfPGMT2I+dJyS7mo+W7eWbRJIkYJneL5I+EYE5eKOA/v23nw0WzpDGv7tuDQxnZbMvI5uukDB7tJjQBmB0agtpLy+rUNB7dsBEfNzdGNtMIvSmIYgX1F+rG/t5SGC0WHl6/gS2pQgnRnf37sbB7d9zc3CShfYtFSCYTv6+oqpr/7DxMYrHg/p7WJZaXZk9BWxOnbe45uiJAEHbzCoUCh8NBaGgoFyqq+fFgItsSM6REJD+tO5PiI5nYNQJvT3eC/bybvcbagh6tJTyHw8n6fYl8vHwPJRWCOE/vTmHcM28kfTpfFP+QyWRSBnN9krucMpWr1iXw3qebcTphyvgePHJP0+IWrq5z8+/HOX0sE42bijsfm9rmudTGjy+twFxtIX5IJ4bNalmddjsuH/6xhAtI2ZDtu7zGsfCla9i/5gi5Kfl88a8l3Pr2gkuyQhbcOYZDu5NJS87ni7c28virV7s87rq5g9m6M4kL2aUsWbafu28VRDmUSgWP3zSe215Zxprdp7l2cj+CvC9m0N48pAuPZhey80wah85nMaiTUKuo1Wp5bvo4kn9YSXaFnu2lRm4IEuJlzw4YgF2pYu25czywbh2/XncdMb5tL4e6HBBjoGVlZRRVVfHcwUOcLSlBrVDw+uRJzIyPr3O8RqORWsoBZFidfL7zKBUmM+5KBbf16syETjE4zGb0FgulpaWUl5ejUqlcdqIB1wQIQomKzs+f9UfPsmPraVIKLsaz4yOCWDCyL5P7dMJiMrXKohdjwllZWdL/z8zMxOl0olarUalU0gajNnkdT87hnR93cDajAICIIG/umz+KMf07torkalubarUap9NJcXFxqzaWNruDL7/dydLfhLZ5E8d04a5Fw5HLW+caLy818tW7fwBw/Z1jCQr1adX5rpCXXsD6rwSt+0WvLmgXufgL8P+vCP5fgrFjx6LT6fDw8GDmzJmcP3/+r57SfyXcPDQ88tVdAKz/aitHN5+4pP6uKpWSh56fjVwuY/uGkxw/lObyOLVKyT23jQPgtzXHKCi8mOXbu3M4Ywd0xOmEL1buq0MMYd4eXNFX0Fh+b92eOiVqIf7+/GeWIOaxJTOXcoUaX19fFHI5r0+eRJ/QECpMZm5duZJKk6l1N+oyw2AwkJaWxtaTJ7l902bOlpTg6+bGD3PnNiBbEMgiNjaWDrGxbCuv5o1Dp6gwmeka6M87E4czp18vHA4HZWVl5OXlkZ+fT3FxMWq1utHnWJsARRJKL9Hz5Z4zXPfpar7am0hKQRlqpYIr+ndlyf3zWfrQdcwc2A2NStUmycfajSKysrJISUkhKSmJkydPkpWVVUehq6BEzzOfruP2V5ZxNqMAT3c1984bydL/3MTYAZ1aTSi1pRRlMhn5+fmtkoksKzfy2LO/SGQ7a2pXrpzeicKCglbLTH7+5gYqy6vo0CmYOQsuVgm0RsWrPn56+VfsNjv9J/Wm9+iG4Zx2/Pn4xxGuh4cHCxcu5OOPP2blypU89thjbN26lWHDhkkJIK5gNpuprKys8++fgl6jujHjLoGovnnsZxw2xyW53Tp1C2P6XMGd9fV7m3A4HC6PG9w/hj49I7Ha7Cz97VCdz26fMwyA7UdSKKow1XEF3jquP25qJacv5HPwfN1nOrhDJDN7dsUJfHroBEajkfz8fKwmE5/NmkW4TkdGWbmkR/xXwWw2sy83lzdTUqmw2Yjw8OCb6dPoHx7m8niZTEa1TM7T2w+y4oyweVw4uB+Lr51JhLeXdG9AqLX29xfqlYuLi5tsci6TyTDb7Ow8n8eiz1ez6PNVbEnKwmS1ExXgzaMzR7H537fy5MwRhGvVGAyGVpFAbVgsFtRqNZGRkchkMoxGo9Rdx2w24+bmht1up0Jv5MuV+7n6icVsOnAOmQzmjOnJr2/cwo3TB6K+xCxep9MpNapQqVTYbLZmN5a7959n4d2LOXoiE3c3FQ/fPYap4zu5bK3XHPZuS2T7hpPI5TIeem42StVFD1xb9aKzz+ex6XuhwqS95vavw/+0S9nhcGCxWFp0rJgYMW/ePObNu/jCzZ49m8mTJzNq1CheeeUVPvvsM5fnv/rqq7zwwguXZd7/i1j06nXsXXWIvLRC9v54lCsfndam5B8RC+4Yy5Y1xzmfmMueLYmMmtRQgEImk3H9/KEcP5XF+k2nWHjdcLx1QpJUXEQAw3vHsPdEOuv2JXPH7IF13JdzBvXg5z3H+X7HUYZ0jqoz7qPjR7Ix8TxJxWUkVVbRzdsTs9lMYEAA70+fxryly1iddJYevr7M7dHjsnSdqQ1X8VOoW7u68nwK7ySdxQl089LyVP/+xPg3rgR09EIOD6xYS5GhCi+Nhv/MnMik+E44nU5UNYQl1tiazWYsFgv+/v5oNBop89hsNtdxLWcUlLD0WBo7k3MwmAVdaZVCwcTenbhqSA8GxAmNDVxl2rZGmUpE7RiquJETs6w1Gg3V1dWcyqxg+Y6dFFcIfYx7dw7jkQVj6doh+FIfiwSDwUBZWRkGgwGDwUBAQECjG8uiYj2ffL2dbbsE1ayY6ACef2Im/r5CmKO1G9PyUgMfvLQGgLkLR9ClR93mE22Nc3///DIcdgdDruhPtyGdWzSXdlx+/E+XBe3YsYOxY8e26NikpCSp3s4Vhg4dSlFRESkpKS4/N5vNdXaplZWVUinE37EsyBV2/rKfl+e/g0qt5MvT7xDeMfSSxlvyyTZ+/GIHsZ1D+HjZXQ3UygwGAyaTiX899zvpmSXce9s45s6+mOi2/1QGD7z1GzpPDevfv6OOZXOhqJwrXl2MTAZ/PHMrIb51F6WX121hydFTxAf48saEYVLNpdls5pvjJ/j8xAncFQo+GzOG3nGxl1V1qD5BhYSEYDQaycnJQSaT8Wt2Dstq3sPpMR14oG9fAv3967hma5P2hvMZvL51L1aHg85BAXw0bwbRfj4uv7s+2ZtMJoqLi6UFPCAggCy9he93HGX7mVRJJCJY58FVg3swf2Q/fDzdmhyjtcpUruYmxlDLy8txOp1k5Ov5Zv1xzmYKOtf+OjeuHd+N2eP6odPpLmtJUXFxMYWFhajVakpKSggJCSEqSti0id/hdMpZvzmJn389RLXJilwu49qrBnHTdcOwmE2YTCZsNptUA92S+TgcDp699weO7kuhQ8cgPvjpTtTqujZRa1S1RGScyeL2Xo/gdDr59NgbdOzjWu2tHW3HP6IsqGvXri4bJbiCmGHZGCIjIzl3rvG2dGJSyj8Zo64eQr+JvTi2+SSfPvQtL6958pLGm3XdEFZ8v5e05HwSDqbRqXuQS7WjoQPCSc8sYd2mk3UId1D3KIJ8tRSWGdhyIJFB8WHSYhsZ4E3fDiEkZOSzYt9x7pk2os6Cd+vIwfyUcJqk4jJKZUpCuKiHPMZbxw6djnOVlbx37Bhv+/rUKe+51IW9vpVSVlZGYWEhpWVl/FJYyPaCQgAeHDaMe4cMdjm+wWAgJzeXxQmJrErOAGBKt078Z+YkPJvo3OUqYUihUFBeXs6JnBLWbjzGqaxC6bMhHSOY2a8TI+Nj0em8XFq0Xl5eDbJ722KJuZqb0QIf/7KHzQeF36abWsm0wTHMn9gbU5VR8nC1paSosWep0WgkSU5fX1/8/Pyk687IyGLHvjQ2bU+lUi9swHvEh/PAnePp3DGkVYRY//vX/5LA0X0pqDVKnnhtbgOyhabLiBrD9y8sx+l0MvKqwe1k+xfjf5pwQ0JCWLhw4WUZKy0tTdLFbYdryGQy7v3gFm7r+QgH1x0jYdsp+o7r2aJzXS1uOh8PJs7sy9rlh1iz7ADX3jVQWqg0Go20YA/oE8by1adJzywm40IxHaKEGlKFXM6koV35Yf0RNu1PJCZAVad8ZUiHIBIy8vnj+DluGtWnzsIXovNievcu/H7qLKuTUujoq5O+r7q6mpuio3j29BkSysr4I/k81/r5SU3G09LSpOuIjY1ttYejfvmJ0+mk2mzm2+xsDpWVIwOeHTWSm5por6evquLNfcfYk5UPwC0DevHY1HGtJn8PDw8SC/V8u+sEacWCxrNKoWDmwHhuGN2P2OCGbuz6ZCpmOdcngUspsakwVPPtmkMs33Icq82OTAbTh3fnhim9sVZXYqoy1hm3LQTfGEm7IrWyciM//bKfdZvOYKwS3OvBgV7cvnA040fH10n2amoetX8HVqtVaoRx/kwh334k5A3c9dg0OnR07SJvbXlZ8tFUdq84gEwm44bn2mO3fzX+pwm3LSgqKmpArOvXr+fo0aPcf//9f9Gs/ncQ2SWcK+6YyOqPN/LlY0v46NBrLdLXbmxxm3bVANYuP8Sh3eeZdk13wiODqKgQFn5xwfbSutG3ZySHEzLZseccC6+7KNowpl9Hflh/hOMphXhqvTAa9JLrv39kAHKZjMwSPWl5RfSut/DN6taJ30+dZd3ps9w3tJ/0fZ6envRyd+eKsnJWZ2fzdXIyU7p3AyAjI4Pc3Fy8vb0xGAz4+vq22qVZf0Evq6jgg7PnSKioQA48OWAAc7p0abQkpcpi5fH1OziUlY9CJuOBwb24bujAVpPtycw83li5nZMXhHIaN6WCKwd3Y9HEIQTqGrec6m8Y3NzcGpBAWywxALPFxvItCXy75hD6KuE5DugWyYPXjKZzdFDNffaUXLammmxyUVqyNQTfGDnWJrVz5/NZuW4PW3cmYakR0gj092DKuM5cOWtQg24/zdXy1v4dGI1G5HI5Tpsbi9/dhdPhZNKsvky5smUCMy15575+8kcAxl8/kpgeUa6Gacf/I/5xhDts2DD69u3LgAED8Pb25tixY3zzzTdERkby1FNP/dXT+5/A9f++ms3f7+T8sXR2/3qQ0XObb27Q2OIW2yWEjvGhpCTlcepwNlqdsGD5+vpKMVWNRsOYkdUcTsjkwOE0qX0fQPe4ELy1blQYTCQkZRLfIVBa5Hw83ekW6svp3FKOZhbQu3OsdJ7BYCAQOxFenmTrjexMzeSK7p3ruLRvBg6UlFBQXc3PiYnMiYqSkmnc3NzqXF9rXJq1F3Sr3c4LG/8goaIClVzOI927MS46qkHzAHEsg9nC7T+t5GhWLh4qFa9MGcXIjjGtSl4rrDDw3trdrD0qJPqoFHJm9evM5K5hxEWGE9AE2ULLyLS1lpjN7mDt7jN8tXo/haVC5m3HiADunTeSob06SEQijgsXtY9tNht+fn6o1WpkMhm+vr4tuh+NkaPZbGXbrrOsXn+cpOQ86fiunUKYObUnA/qE4+4uPP/6myJX96a+LKbNZsPHx4fq6mqh3vaNzVQbrXTuEca9T89o8capuXfu6OYTHNtyCqVKwU0vzG/RmO34c/GPI9z58+ezbt06Nm3aRFVVFaGhodx2220899xzBAdfvkzHvzN8Ar256qErWPLiL/zw0i+MvGpws1ZuUzv/MVN6kpKUx+kjecy8ZkidBUxcQAb3F8jy7Pk8yiuq8PH2AAS38sBuUWw5lEx6YTXjhoZKi21oaCjDu3bgdG4ph9PzuKXWfMxmMw6HgwmdYvj22Gk2nk3h2iH963TV6RARwT0D+vPv3Xv4ITGJ4f7+hIWFUVVVhdPpJCAgAN8agYzWuBLF67M7nTy8fgM7LlxAKZfzdL++9PLxkeQZxfZ64lhGi4Vbf/yNhOw8vDQavlowhz4RdXMTmrJ6HA4nv+w/wbtr91BltiKTwdTenZjVIwofd1WLLcOWkGlLLX6n08nWw+f5dMUesgrKAQjy03LnVcOZOiy+0QYHInlZLBZKSkooLCwkLCxM+p6WkFZ9ciyvsPLd0m1s2HwKg1GwrpVKOWNHdGX29L50jw+Txm1NrNZV44eKigpwKPnpo6OUFhoJDNFx/7+nYjZXo1K1LC+gqXfObrfz5eM/ADDz7imEdAhqdrx2/Pn4xxHuyy+/zMsvv/xXT+N/HqLkY8bpLA6tT2DIFU27wZqyikZO7MFX727i7MlsVAp3vLw8G5wfGOBFTHQA6ZnFHD+VxZgRF5vHD+ouEG7ShZI6i56XlxcT+3Xj823HOJqWg9VmR6UUahrFDcDAIB++BQ5n51FRbcLbva7lOjEmhl/OJXOqsJBvzp7j0d69CAsLw8fHBz8/vxbLAta3RoKCg3lp7z7WJyejkst5e9JEemi1lJWVYbPZJLe6VqsVkpBsNu5Z9jsJ2Xl4u2n45vqr6BHWcIPYmNWTU1rBv3/exOFUoVlDx0Bvbh3ZgxG9utbxJLS1zKul8xDhdDrZnZDGl6v2cy5TSNLy9XLnpisGcdW43mhcJAzVhhjj1+v1UpKWWKfb0lIZmUyGp6eWM+eK+HX1UQ4dS5c+Cwn2ZuaU3kyb1BNfn4bvY2Nk5+q6ax8rtjZ02OR88NzvZGeU4uvvyZ1PjcVqryIvz9xi9bam3rk/vtlO6vEMPL09uO7pS29W347Lg38c4bbj8kDr48kVd0xk+Vu/s/zN1c0SblNWUXCYDzGdg0lPLuDIvhTGT7/Y6ae2pdQjPpT0zGKOncisQ7h9uwryjWfS8jFbbGjUSuk8HxX4eLpRbjRxIjOP/rHhUrmRl5cXvX19ifU/Q1pJGZvOpjC3r1APXHvhvL1LFx4oKmJnbi5ze3RnRGxsA4utOTdr7UW3rLyc53fsYE1KKgqZjNcnjGdat26UlJRQVVWFTqeT7ldISAjuHh48+Ot69qdn4aFW8dWCK12Sbf3vEYlgX2ouzy/bgtFswU2l4JoBnZk7tAcGvR6LxSKpQV1ONEZITqeTQ2cu8PHy3ZytIVoPNxXXTenPgikD8HRvPMO6NrRaLRERQh2wxWJBJpNhMpmkDUpzsNnsbNmZxM8rDpJxoQQAmQyGDIhl9hX9GNQvpkk5xsbd0Q2vu/axSqUSHGpef/xXMlIK8fb15Ik35qD2sEttFfPz86VrbMrSbeydM5QbWfzMzwDc8O+5eAf8M8oW/xfQTrjtaDPmPDidX99bx6ndSSQfTaVz/7g2jzVwRGfSkws4tr8u4dYmvohQQfTixOm66lFRwT74e3tSUmHkTFo+/bpG1Dmve6gfe1NyOZh8gS5B3g0skNm9u/HOtr2sOXVWItzaC2cMcFWXzvxy9hxvHDrEiM6dGyyEzblZxUW3tLycj06fZnNWNnLgkd69ia/RQBaPqaysRKvVEhISgpeXFy9v3M7msymoFQo+nT+LXuGNt5Csvbg7kPHJ1qOsOJgIQN+YMJ6YOQKF2YhBr79kgf6mUJ+Q1Go1e0+ksfj3Q5xMyQUEop07vg8Lpg6Quj61FLWbELiqeW0MNruDP7ac5vtl+8kvELwIHu5qpk/uxZwr+hIe2jIN7cbIzhUR1z62KM/Avx/8mYLccvwCvXj1s5vwC3InLy+PgoICysvLAWGj2Zyl29g7983TP1NeVElUfDiz7p3Soutpx/8P2gm3HW1GQJgfo+cNZdtPe1j98Ub+9c09bR6r/9A4ln+zm2P7U3E6nS7LLGKjhbhaxoWSOnFcmUxG3y7hbDmUTMK5bPp1jZDO0+l0dAnQsjcFdielMW9ApwYWyBU9uvLOtr0cysjifE4evhoVVqtVajunUCi4f8gQ9ubkcqG8gofXb+CzWTNb1UBdq9XiGxjI01u3sTUrG4VMxiO9ezMjvqs0D39//waL+JJDCSw5dByAN+ZMYUhMZLPfExoaSnF5Jc+v3E1ChpD0s2j8QO6ZMgyFXOZS5epyQ5yHyWTidHoxr/y0hqR0IRtarVJw5dhe3DxjML46jzZ/R2sTsw4eSeOjL7dxIbsUAF8fD+bNHsjMaX3QerZu49GSBgj1cxHOny7glX8tx2gwERbpx38+u4mQcF+JXEXLtn7svjVIOnietZ9tAuD+j29DeYkyl+24vGh/Gu24JMy4azLbftrDruX7uef9W/BopaUiIr53FBo3FWUlBjJTi+jQUUjyqG0x+Hh7EBnuS1ZOGacScxg5tJN0fr+uEWw5lMyxs9ksmnXxvIKCAqI8hdc8KbuI4kpDAwskwMuLQdERHMrM5scDR5nfLQ65XI5Op0OlUkkL58czZ3DNsmVsS0vj31u38uL48S0m3UKjkbs3bOB4Xj4quZyXx46hl4dHnXnUX8R3pWTwnz8E/dtHx49gajfXknz1E5QqLQ4e/HEL6YWleGrUvHr9FMZ0v+h9uJQ2gS2F3eHkQGIuS9Yfkbr4uGtUXDm2Fwum9ifA588helcoKKzkg8+3sOeAoN7lrXNnwbwhzJraBzc3VaPntUXkxBURO51Ofvl2D99+uAWHw0m3PlE89+61ePt61jlHPFZsf9ha74PFbOXtRZ/gdDqZcMMoeo9pb1Dw34Z2wm3HJaH7sC5Edgkj61wuO5fvY+qi8W0aR61W0r1PFMcOpHL8UJpEuPUthj49o8jKKePE6ax6hCtYfifP52Cx2qTz8vPz6QDEBvToVgUAAFchSURBVPqQVlTO0YwCZg3q3sDCm9+/J4cys/kj9QI3D+qNsSa+qVJdXJB7hYTw9tSp3LtmLUtPnuJCeQVvT51CUBNWosPp5JdTp3lt1y4qzWZ83Nz4dNZMBoaHN2lpphaX8tCv63A4nVzZuxu3Dmu8d7PoPrfZbFworuCNLScoNlQT7K3l49tm0zmsZYIul0NFy2Z3sPVQMl+t3k9mntC2T6NWMmdMLxbOGITfJVi0bcHGrad5/9MtVFVbUCjkTJsYz/XzBhMc5N/stbVFvao+9BVVvPv8avZtTwJg4sy+3PfMjMumIlUbS55fTmZiNj5B3tz1zsJWnduO/x+0E247LgkymYxJC8fy9ZM/snnJzjYTLkCfwbES4c6+bog0fm2LoU/PSNZsPMHxUxfqnBsT5keAjyfF5UaOJ+cQH+WH2WxGq9XicDjoFxlAWlE5e89nc/34IQ0WzkldO+Lv4U5JVTW/nUhkbEQwVquVqqqqOovt1M6d+eCK6Ty+8Q/2XbjA2K+/4dpevbiyezc6+fujqlGOulBRwe6MDL49lkB6mUA8PYKDeW/6NKnXbmOWZkW1ibuX/Y7BbKF/ZBgvTB/fJDmI7vNCo5mXNhxBb7YR7uPJR7fMIK6FZAuXRjCVRhO/7zzN8i0J5JfoAfDWujF3fB/mTuhTx3V8OXWPG4PJZOXdTzezcctpAOI7h3DNnG4EB3pSWVGKp4em2Wtri3pV7WtLO1vEhy+vpyi/ApVKwZ2PTWPa1QMavdbWushr49TuJJa9sRqA+z+5DZ3/n+vBaEfb0E647bhkjF8wkm+e+olTu5LISy8gNKZt9cx9Bgm1tiePpGO32VEoFQ2O6dtLUMtJSStsEMcd3COadXsS2XkkGR9VNHa7XXINT+sfz4pjKRxMzaHMUI2vVnB9114gbx7Um7d2HOCXs+lM6hyLSV+JSqWqk9UMML1LF7oEBPD4H39wPC+fxceOsfjYMdQKBW5KJRa7HZPNJs3ZS6PhviFDuKlfX5TNuKCtdjsPrFhLRkkZYd5efDhvBmpl8yUyxUYzz67ci95sI9pfx9NT++Pt1rqfd1sIprjcyK/bjrN0UwLGakHX2NfLnXkT+3LNpH4us44vh+XYFMorqnjsuRWcO5+PXC7j5gXDmTyuI6UlJa26tuZKvVzBYDCQlZXNuqXH2bYmCacTwqP8eeL1uXSKd91a8VJRWaLn1evfx+l0MnnhWEZeOfhP+Z52XDraCbcdl4zACH/6jOtBwtZT7Fi6j2ufnNOmceK6hqLVuWOorCY5MZf4Xg0ThPz9tMR2CCQto4gjCRlMGNNN+mxEn1jW7Ulk9/F0pg8Mx8fHh4qKClQqFQPiOxIfEURSdiGrD59h4VjBRVt78R8W6EOUj44L5ZX8cOocE309KC0traPPLM3Vz4/FV1zBrvR0lp87x8nCIvRmMxa7HQC1QkF8YCAz4rsyr0ePJhsKiHA6nTy3bqtU/vPpNbPw92zeBVtlh1c2HKHCZCXCx5Onp/bHT+vR6hhgawgmMS2fZZsT2HIoGatNuOa4CH/mT+zHlGFdcVM3Hhtta4u5+nBlKRcW6Xn02eVcyC7FW+fOC0/Oom+vKPR6PRWtJM+2uHjPncni41fWk5cl9MseOSmeh567Eo9WJmW1FA6Hg9dv+pCirBLCO4Vy9/s3/ynf047Lg3bCbcdlwZj5w0nYeopdK/a3mXAVCjm9B8awd2sixw6kuiRcgEH9Y0jLKOLA4bQ6hDusVwwatZL8UgOZhQZkMlmdxXX+sN48v3wzP+85zoKRfVEpFQ0W/4dHDuLBNVtYeeY8kb070y/YH4fDITVvF2EwGMjPzydOreaZPn0ICQlBD5htNuQyGWE6HWpFQwvd6XSi1+spq3Ez+/r6SmTz1tY9/Hr8DHKZjPeumk7X4ObdwfpqM/d8uYrcMj1RAT58uHAaXmpFm2KAzRGM0+nk6Nksvl93mAOnMqW/9+wYynVT+jO2f6dGa1fri/bXzgBva2lSfUvZw9OHx55bRU5eOcGBOt5+ZR6R4X4tujZXaI2L126z88u3e1jy2XbsNgduHkqmzOvCrPmj/jSyBfj51ZUcWp+ASqPi2eUPtzlpsR3/P2gn3HZcFgyfPZD37/qClIR08tIKCI1tm1u5/9CO7N2ayJE951lw+xjX3zW4I0t/PcT+w6lYrXZUKoHY3DUqRveLY9OBcxxNKWFgj9g6i+u0fl35eOM+8sr0rDp0hrnDejWw6kZ0jODaAb34+chJPjuVwr0WM2HuavR6PYGBgY12hbFYLIQHBLicb32yKSgooKREEFvw9/cnJiaGrw4e56sDxwB4Yfp4Rndqvo2axWrjga9XkZxXjJ/WnU9vn0NkgE9rbncdNEYwdoeQCPXjxqNSaY9CLmPSkK7MndCHHnHN90WuTY6uMsDbgtrPoKi4lLc+Xk9OXjkhwd58+Pq1BAVeFHy4lPhoc8hMLeStZ3/jfKJQX9ytbyjzbx+MSoMgdPEn4eC6o3z372UA3PvhIuJ6d/jTvqsdlwfthNuOywLvAB29x3SvsXIPMP+xWW0aZ+AIIfP43OlsykuN+Pg1lNXrER+On68npWVGDiekM2xQR+mzmaN6sunAObYeSeXBBePQul+0LtzUSm4ZN5DXV+3gs00HGNkpHAUOvLy86ogmPD15DOfzCzmSnc/n57O5JS6MoJISgoKCpAW7KfdrfVen2NvXZrNRWlpKZWUlbm5uqNVqqk0mXt64g9/PpQGwqG88Uzt1aDCOusYlbbFY0Gg0eHp68sxPGziSloubSsETk/vjo2loUV8KnE4ne06k8+kve0jJLhauW6VgxqgeLJjSn/AgnxaPVX+DolKpCGhkg9JS1H4GK35P5FxKIV5aN9544eo6ZPtnweFwsOrHAyz+cAtWiw2tlxsL7x9Hp16+klekfpOLy4XMxCz+s0CI2864cxLTbm17smI7/v/QTrjtuGwYedUQya3cVsINDPEmrmsoqWfzOLDzLFPmNJSMlMtljB8dzy+rjrBxy+k6hDsgPpIOoX5k5JWyescpFkwdUIe4JvfowM97fLhQXM7bv+/klmHxDRJ3VAoFb86YyC0/riS90sCn57Oxu3sSE3MxcaopF2V9V6dGo8Fms2G32ykoKMBms2EwGJC5ubMit5TjhaXIgLuH9GFiZIhLXV6LxYLT6ZRIZm1SLhtPpCCXyXhm5nCi/TzaHAt1hVMpuXywbDcnknOE6/XQcN3kflw1rneLxSr+DDdybYjPYO/B8+zan4FMBs8/MZPoyIY9fC83CvPKeevZ3zh5JAOAgcM78eBzs/AL9PrThUXKCsp55opXqaqspueoeO56b+Fl/452/DlouVROO9rRDEZcORi5XEbykVRyU/PbPM7w8fEA7Np0utFjpk4QJBj3HkyhpKadGwhkvGCqQNJLNhzBWG2RiKuoqIjS4iIemS60E/zjTCaJhXopHqvX63E6nQCEBvjz8ZWT6Rvkh9Xh5OPjZ3ly406yygQ5QNFFWVuHWK/XU1xcTGlpKTabDW9vb+w1SVQWi4WMjAzp72l2OW8mXeB4YSkahYLHh/djYmRIo7q8JpMJs9mMt7c3G0+l8+3OBADuGNWDTn4el43Eyg3VvPLNJha9tJQTyTloVApunD6QlW/ewq2zh7ZKGar2fa+srESn0xEYGEhoaOhlISKZTIZK5cZXSw4CMG/2QAb07SB9LsbLi4uL6zzbS8W+bUncPe8TTh7JwM1dzf3PzOTFj67HP0jX4L243OVO1UYTz8x4jfyMIsI6hvDcikdRNZGg1o7/LrQTbjsuG3yDvOkzTiDCncv3t3mc0ZN6AnD8YBqlxXqXx8TFBNGzewQ2m4Pf1hyr89m04d2IDPahtKKK79YdqkNcdrudnuEBzB0iqPC8sf4A57LzpXZrBsNF8g708eE/k0dzfe+uKOVydqdnMfXjb3lu3VZSi0rqfGdtcikvL8disUjWnK+vr9Cj1cuLYpU7HyRlsvh8FhVmCx0D/Vh6y3yuHtSvARnVdpm6ubmh0Wj4I+EcX+8VtJHvnDSY68cNviwk5nQ62bgvibmPL2b1TmGjc8WI7vz6xi3cO28k3trWJ+OYzWZsNhsqlUq6J/7+/peViJb+doiiYj0hQToW3TCizme1n0n9Z9sWWK02Pn19PS8+/DMGvYkuPcL5ZNldTdbWXk7YrDZenv8OyUdS0fl78craJ9sbE/yPoZ1w23FZMepqwXrctaLthBse7U/XnhE4HE62rjnu8hin08mMyQJprlx7jPKKKukzlVLBffNHAfDjhiOcTc/DYrFQXl4uWYKPzxlHz8ggqq12PjuUjl3jKbV2g4tZyGZTNfPj4/j5+jkMi4nC6nCw9OhJpn36PTM/X8K72/ayJzWD9Nw8SktLUalUKJVKfH19CQgIQKXz5lh+MYtPnuPfR87ywelUUvVVaBQK7h01mN9uW0C30GCXVpHoMg0MDCQmJoYci4IPt5/ECcwd2pO7Jg+9LNZUpdH0f+3dd3hTZfvA8W+60r33AsoqS6CA7D0sKigoRQWRFxH3wD3AieKroOLPLYqoKCBu2bL3kD3KLKV7t2naJuk4vz/6NrY0LelKA9yf6+p10XOe5Nw5NLnzbF76ZCUvf76aPK2O1qE+fPHSRF6+7wb8vWvf87a2GqRarcZgMBAfH49WqyU3N7fBSa+yPE0RS3/eC8D904agVlet6V36Ravi/7Y+crMLePGBxfz+424AbpvSj3mL7iU4vOmbr6H8Xr9332fsXXUQtZMDb/zxHKHtmmZer2g60ocrGtWA8b358OGFnD0YR8KpJMLah9TreaLH9yD2aCKrft7Pbff0r7bBvVarpUWIIyFB7iSlaFj8wzYef/AG4/nBUa3p3SmMPccTWPDTHp6bGFVlD1uVSsWH08fxn4+WcSEjl2eXbuTlm3sTGvpvc25JSQkODg5kZWURGBjI15PHsy8+ia93/8O2sxc4lZbJqbRMPttefk0nW1tc7W1xcrCnTGVLnk5P/iUf8i72dgwMCSCmSzuua9MadS2jWCuPrN149Cyzf9pISVkZ0d3b8+Jtw2pMsHVZyelAbCIvf76K9GwttrY2TL+lD/fc1As7E4uOXOpyC1i4urri5eVl3JjBYDA0aj/zit/3U6Qrpk2EP0MrbddYoT4LV5hy4WwaLz+6hPSUXJxd1Twz5zb6DolsaPhmUxSFz5/+lvXfbsHG1oZZy56kY9/qr1dYP6nhikbl4etOj5HXAbDh+231fp4h0V1wdXMkJTGHXZtjq53X6/UoShmTJpT31/6x5igXE/9t5lWpVDxyW29cHO2JT9OwfOs5XFxcqtQEfdyc+eqhCYT7epBVoOPF33byz8XyPVprqp1d3zKUz+64hR1P3c9bY0dxy3UdCHYvb8otKi0lQ2fgoqaAxDwN+Xo9NioVIW4ujGwVyhNRHfhkRB+eGzEAb0e12TWupdsP8eQ3f1FSWp5s37orutZNE8xpSi0pLePzX3bw4NvLSc/WEhbgyVez7uDeW/qYlWwr/g9qq0GqVCq8vLxwdHQkKyuL4uJi42jr2lSuOWs0GjQaTbVadJHOYOxKmHJHX5NfKCq3ENS3yf3YwXie/s9XpKfkEhzmzQffzrBosgX44a1f+Pn9vwB4auGDl917WlgvqeGKRjfqniHsW3OIdd9u5u5XJ1RbNKIml9bMborpxbKvtrF04Vb6De1Q5UO1ovbSKsyFzh0COHYyjXn/t5YP5t5pXHwh2N+Lh27pzrxle9l8KIGOrc8wdWzVqSh+Hq4sfvQOnvzmTw7GJfPYV39w9+AoHo7uW2vtzNPJkdu6deK2bp3QaDScOnuWizl5lKhs8Pbzx8fTA3dHNU6lxWhycvDwKN+Ht7CwkISEBOO0oNoYSkp4789t/LDtEADjendm9u3DsbOt/Xvy5VZySs3SMPuz1cYRyGMGduLJSUPN3vz90v+Dy9UgK5KkuYOW8vPziYuLQ6fToSiKsf+6ci16zd/H0RboCQn2ZGBf07soNXTu7Z6tp3jzmWUY9CV07BbOawvuws3Dspsv/PnpWr6ZvRSAB+bfw6h7hlj0+qJxSQ1XNLp+t/TCzcuFjIQs/ll3xOzHXVozG3lLF9SO9pw5kWzcbaVCRe3F39+fmQ+OwNHRnsPHElmyfHeVMtEDuzL1pigAPvl5F9/+ubNaf6OPmzMLH7ydOwd0A+C7LQe4fd73HE3T4OnpSXFxMXZ2drU2Sdrb2BDq6kx7bw96twihe2gQAY4OlOj16PV6Y/9xxe5DlZOQqX7Q82lZTF6wzJhsH7uxP6/GjKiWbE09vrZEuPmfs0ye/R2HTyfh4ujAmw/dxKx7R1FWoq/zaF5zapAV84bDwsKMrQaXk5OTQ2ZmJiUlJaSnp5OXl1elFl1WpvDzH/sBuG1MjxpXt6rp/phTZs/WU7zx5FIM+hJ6D2rHW59OsXiy3fjDNv7vka8AmPTSbdw282aLXl80Pkm4otE5ODowcsoQAFZ+sb7a+Zo+BC9tonR0tmPc5PJBWF+9v47i4n83BKg8/aJN6xCeeGAEAF8v2c6Bw/FVyjwwYTAThpWPfP5oxW6+/m0H+flVRz/b29nywvihfDT9FgI8XUnMyuPFpX/z5poDXMgvJjAw0GRCURSFnJwcY03YwcEBg+HfqUgFBQWoVCpcXFzw8vLC3d29SvK59EtGRnYOn6zZxYR5S4hNSsfTxZEF08YyfcT1JptNtVotycnJXLx4kVOnTpGamoqLi0u1RKgzFDP/+008++EfaAr0dIoI5Ps3JjOyd3vy8/M5f/48586d4/z589XuTU3MmQLT0H5UOzu7ao/fdyCOhKQcXJwdjNPDamJO8/qlZbZvOMobTy2lpKSU6we14YnXbkZdy765TWH3X//wztSPURSFsQ/dwD2vT7To9UXTkIQrmsSN95WvfLP7z/2k/G85wAo1fQia+nCO+c9APL1dSE7I5qdvykcnmUrYo0d2IXp4Z8rKFGa/+RvnLmQYr6dSqZh6Yzeie7UEYMnfJ5i/ZAvZObnVkv6gjhH8/tw9zBjZG7WdLYfiU3lu6QamfvYbS7cfRlOkq/ZaKvp34+PjjTW6yoOudLryx3h5eWFnZ1fl9VV8ybB3cuaXA2eY8P4yPlu3m+LSUvpHtmTF03cztHNraqLX6ykoKECv15OTk0NiYiIFBQVVEmHshXTueWUJy9aXz92dFN2DL16aaFwpqnKNMjMz07jOc03qMr+1Pv2oXl5e+Pj4YGdnR1BQEBEREVUev/y38trtjSO74OxcewI3Z6Ry5TLnTqYxb9ZvlBSX0q1PODH39SAjI71RR1dfztFtJ3kjZj6lJaUMnzSQhz+cZpFpR6LpSR+uaBItOobRY1RX/ll3mF8+WMnDC6YZz9XUx2hq9SaVSsX9T4/mvy+u4McvttBvaAfULmUkJiZia2uLi4sLwcHBuLm58eTDI0lKyeHoiSSee/kn/u+duwgK9ATA0dGRSSM74eGqZvmmU6zefYbTFzO4f8x1BPu6Vxlh66x24JHR/bi9Txe+3fIPP+8+xtnULOb+uol5f2ylb/twhnSKoHfbcByVYuzt7WnRogVZWVnl821dXY1JKT09HTs7OxwcHPDy8qry+uzVjuw+k8Cq/SfYcS4ZXXH5Ihkh3u7MvHkgI7u2vewHrVqtpqysDK1Wi5ubG7a2tsb7qTeUsHjlXhb9uZfS0jJ8PFyYde9I+neNaND/ranRya6uriZHRpvbj3rpMpYRERHGLy+VR1mfPZ/G/oMXsFGpuGF4JIqi1HqPzKlhV5Q5feIiX76zBb2uhC49w5n0cB+8fbwatKNRXZ07fIFZY+Zi0BXTZ0wPnv76oWoj9MWVS6U01vIr1xiNRmNMGO7uMvnclP3rDvNC9BzUTg58e+4jvAPLN16vWGTC3P1QFUXhlceWsHfbacJa+TL1qV7k5mWjVqtxdnambdu2+PmV76yjyS/i0Wd/4MLFLHx9XJk/J4aW4b5VPtAPnknjrcWbKCgy4Ohgx20D23JHdA8C/P1NXl9TqGPlP7Gs2H2UMymZVc75ujkT4eNGmLcrYV5uRLYMIzzQD4oNnI49QXZONi6u7tg4OOLk6Y2mGM6lZnHkYipHL6agM/zbTN7C14PpI3pzY49I7Osw0Cw1NbXaF5BTiTnMXfQ3CWm5AAzr1Zbnp47As9ICFhX3JCsri9TU8pXBHB0diYiIMPk3XVG+YlWugIAANBoNfn5+qNXqBu1xm5+fT3JyMgUFBZSWlhIaGkpgYGC1ZDprzi9s23WWqOuCePA/vc3626lpilTFOZ1OR2Z6Hm8++SuZaflEdgnlpfm3kZOb1Sh79po7TSslLo0n+s8iOzWXLgM7MHfNS6idmm6nIdF4zM0HknDrSRLu5SmKwuP9X+Lk7jPc9sRNPPDeVONxc+eJVsjJ0vLQxE/IydRyXe9g+t8YRFFREW5ubkRFRVXZrzYrW8tTs5YTF5+Ju5sjc2aNo2vnqlv9nY1P5vWF64i9mA1Am1BvZtzSix4dwmuN52xqJhuPnmPnqXiOxKdQUlrWgDsE/h6uDOrQihujIunROqReTYeV76emsJjFqw+xemf5IDNfTxdm3jWEEde3q/bcFV98SkpKMBgMeHl5VZmnfKnKq3Hl5ubi6elpbJXQ6XTG0dc6nY6wsDDjlyBzZGZmcvHiRQwGA/n5+Xh5edG+ffsqSS4uPpP/PPw1igJvv3ITnm42+Pn51XsThIrXU1ig46PXN5IYl01IuA/vLZ6Ou6dznf9GL3ed2pJ3bkYeTwyYTdKZFCKua8F7W17DxaP6xh3COknCbWKScM2zb+0hXhz9JvYOdnwdu4DAlqZrkeY4vO88z9+/GKVMoc/IUPqPaoWLi0uVGm4FTX4Rz72yghOnUrC1teHh6UMZPyaqSu1Go8nn963H+PrPfyjUFwPQvY0/M8b3o0enyze7FuoNHDgTz9H4FBJztCTm5JOepyVTU4D+f5uyV7C3tcHHzYUwHw9a+HnRKTyA61oE0SbQ57If5OZ8QdEU6Ph25T6WrTuA/n9N0+OHXscjMQNxraGfMzMzk4yMDOPf8eWSV0V5d3d30tLScHNzMw4mS01N5eTJk8ak0qFDhypfgi73uoqLi0lISCAvLw9XV1fUajXh4eFV4nn+1RXs2neeqOuCmTGlR4NrnpmZmaSmpvHtgl0c2XcRd08nPvjufoLDvOv1fLVdp7b7XFSg49nhrxG79ywBLfz4YMccfIMbNwbRtMzNB9KHK5pUz1Fd6T68Cwc3HGXh898za+mT9X6urr0ieOi5G/l47kp2r08kNNyfgaPCTW6B5u7mxPtv3cE7H65hw5aTfPj5Bg4fS+TJh0fi6eGMSqXCw8OdKWP60adTGF/9vpstRxI5eDadB9/5jT5dWjBxZHf6dmlV47STUoMefweFIRF+2NoGVvnwN5SUkJWTh8Ggx8XJCW9Pj3r3xdW2olOetojl6w+xbP0BNAXlA4K6tQvh8TsG0eky+9TWdQRxRXmNRoOrqyuBgYG4ubmhKAp6vR5bW1s8PDwA8/aBvXSPXB8fH2xsbLCxscHFxaVKPHv/iWPXvvPY2tpw/9TB+Po4NXg3HgcHB3779iBH9l3E3t6W598e3+jJFmq/z6WlpcydtIDYvWdx83Zl7pqXJNlexSThiialUqm4f94UHurxLFuW7yJ62mF6jupa7+cbM7E3KYk5/PLdTn7++gABAQG0a2d64QNHR3tmP3MzkW0D+WzRFrbsOMXhYxeZ+dBIBvdvb6wlBvl5cu9NXbmhV0v+3HWeXceT2X00nt1H4wnx82DMoM7c1L8jAT5Va1K1LTDhYGdHkF/1dXbr05xu6jqZ+QaWrz/Eyu3Hjf3AESE+PDxhAAO6RZjV/FnbFoOm4q6Y4wsYB4fBvyO1S0pKyM3NxdfX16x9YC99Xe7u7vj7+1eLp7DIwPyP1wEw/ubuRLYPq+1pzbZ6xSG2rzuNSgWPv3Iz3Xub/jtqqJrus6IofPzYInb9sR8HR3ve+OP5ei+FKq4M0qRcT9KkXDefPLGIXz9cRVBEAJ8feheneuw+U6GsrIyP565k5U/7UKlUPPzCTdwcc32VMpc2Vx49fpGvlvxDanr59I4+PSN4+L6hhIf6VEuCeYUl/LThMH9uO4628N9pJF3bBjO0Z1sGdIsgPNCrzoO/oO4Dxio/Jje/iINn09l7KoOjlbY/bBfux9QxvRnas02tSz42RG1xZ2Zmkp6eXmXd6fDw8MsmfY1Gw/nz5433vabBWvM/Xscfqw4R6O/Ooo//c9mpQObYsPIw7770MwAPPDOaW+7q02h9tub6ad4ffPHsd6hUKmYvf5KBt/Vp0uuJpiN9uE1MEm7dFOYXMb3zTDISsrhx+nBmfvFAg55PURQ+eXslfy4r3y3mtin9uPeJUcZm28oJoqCgABsbG7x9/Fj2y37WbTpHSWkZtjYqxt7Yjbsn9sXHu3rtrkhfzMZ9Z/hz2zEOnkqk8jsl1N+DXh3D6djSlzYhXoQFepu1Y0/l/rzc3FxcXFyMzaeXfsiXlSnEJWex++gFth44y+GzKZSVlQdho1IxoHsEd46KIioytMGDrS6XZGrrh6wtGdd2DY1GY1zC0dHRkVatWlV7L23aFsurb/8BwLw5MfSqtN9tfe3ddppXn/iBstIyxk3uy/1Pj67XF6GG2PLTLuZMfA8oX7JRVpG6sknCbWKScOvu0KZjPDvidRRF4eWfnmrwN3pFUfhx4Ra+/XgjANcPbMczc8bj5uFcJUGkpqZSWlqKq6srtra2lCqOfLt0Hzv3ngNArbZj7OhuxIzrhb+v6Q/Z9Ox8Nu4/w9aD5zh4KonSS0Yne7s7066FH61DfGkZ7E2IvwdBvh74erigdvi356byB7ter0elUmFnb0+BrgTsXcjS6DmflMWpi+mcOJ+GpqDqQhvtwv0Y2bs90f06EFDL1nnmMDfJVEw9SkpKMvavBgUFoVKpjPNmAZPzZi9XM65tMNH5Cxk8/PQSCosMTJrQmxlTBzfo9QIc/ecCsx7+Dr2umGE3deXpN8ZhY2Nj1gCy+nQHmHJsRyzPjnidYn0xtz4ymocW/EcWtrjCXVMJNyUlhQULFrBnzx7279+PVqtl06ZNDBkyxGT5nTt38uyzz3LgwAHc3d2JiYnhrbfeqtMADEm49fPlc9+z/N3fcXZz4qO9cxulz2rTqiO89+pvFBtK8A/y5MV3JhDS0rPKgBx3d3fs7e2rfFAeOBzPwm+3cTw2GQBbWxuGD+7AbWOjiGxb84AjbZGeg7GJ7DtxkYOxCZxJzDLWPE1xcXTAxdkBF0cH7GxtUZQyiktK0RuKKdAVU6grprSGxzs62NG1XQj9u7aif9dWhAV4NexmVWLuKGVTc2RdXFyMX2RqS9Z1qRlXzLvV6/VoC0p45pVfSc/Ip1uXMOa/OfGymzZczolDF3nxwW/RFRnoNaAtr7x/F3b2tiZjMfV6GqMWfDE2iScGzCI/W0u/W3rx8oqnzN7cQ1ivayrhbt68maFDh9K2bVt8fX3ZtWtXjQn30KFD9O3blw4dOjBjxgwSExOZN28eQ4cOZfXq1WZfUxJu/ZSWlPLsyNc5suUEYZEhLNgxBzev+o80rXA2NoU5Ty8lNTEHGxsV46f0YfyUPpSVldZaG1EUhX0HLrDkp90cOppgPN6hXRBjorsydFAkzjXsomOcx6kzkJxVQG4RpGQXciElm5RMDalZGgzFpSYfeykV4OXuRMtgH1oEedMu3I8OLQNoF+5n9nZ5dWVuAjGVNAGzk7W5zc0VNemc3EIWfLGbpBQN4aHefDxvEu5u5vX511QLPX4wntmPfk+hVk/33hG8umBSlfWRzam91nUaVbX7mJTFEwNmkxafQWTvtry74RUcG6E/WjS/ayrh5ufnU1xcjLe3NytWrGDChAk1Jtwbb7yRQ4cOERsba7wxCxcu5L777mPt2rWMGjXKrGtKwq2/nLRcHur5HJlJ2XQd0om3Vr+Eg7rhi8OnJmfw4Zw/OLCzfPOC8AhfnnxtHJFdzBvVevJUCj//8Q+btsdSUlLeZOyotmdg37aMGNKBHt1aYm//b/K73AewoihoC/Vk5xdRUKSnUGegtFShrKwMg0FPXm4OhqICDEX5hAX74+/na1ymsspzNNFgHnOf21TSBMxujq5LP/G584ks+GIPSSl5eHk68en8u43Lc5rDVKznYzN55bEl6IoMdOnRgjc+uhvHWrYirCnmhtRw83O0PDn4ZS4cSyCkbRALdszBw1c+N64W11TCray2hKvRaPDx8WHmzJm88847xuMGgwEfHx8mTpzIwoULzbqOJNyGOXf4Ak8OepnC/CKGTOzH898/1uCmtYoEGHsog+8/3kqB1oBKpSJ6fA+mPjIcDy/zVu7Jzilg7cZjrFx7hISkfxfyd3VRM6BPWwb0bUvP7i0oKdbX+wO4IlZFUUhKSiIkpHyVqUuTtqUH85hiKgEBjf5F4OSpi7z81p+kZxbg6eHIf18ZZ5wCZG7ivvRL0MUz+Xz85hoM+hKi+rTm5ffvrDXZQs33vL5ffoq0RTw36g1O7j6Dd5AXC3bMadACMML6yMIXJhw9epSSkhJ69uxZ5biDgwPdunXj4MGDzRTZtad115bM/ukpZo+Zy+ZlO7FX2zd4ofaKBQYiu/nx0gdjWbviJFvWHGf1z/vZtu4Yd84YzJiJvXFwqP3P3tvLhTtv680d46/n5KkU1m06wZYdp8jOKWDNhmOs2XAMB3tbruscynWdgunYzp92bUxv33e5WLVaLba2tuh0OuMKS5WZmoNb00YBTcXUBgSN/T39wOF4Xn7rd/K1Ovx9XZkzayzt2vzbv1+xSMbllqGsvMjE3i1xLP1iD0qZQu9B7Xjp3YnGlpTakmdN86vrs6G9rlDP7LH/5eTuM7h5ufD22lnGZNuUrRfCOl1TCTclJQXA5JJzQUFBbNu2rcbH6v+3kXgFjUbT+AFeY3qO6sqLP85kzsT3WP/tFgCeWvggtvXss6yywEComu5zuzAmJp5P3l7F+dOpfDl/Lb//sIfJ9w9h+M1dL3sdlUpFx8hgOkYG8+iMYRw5nsj23WfYvvssqWl57D8Yz/6D5c3XHu5OdOkUynUdQ+jUIYS2rQOqjE6uKVadTkdQUBB2dnY4OjpWS9qmVimqbeUpS2msGEpLy1jy024WLdlBWZlCx8hg3po9Di/Pqq0RFUnQwcGBlJQU4/vx0uu6uroSEBDIj19u5bfvy6eMjbqlO4/PHlvl/7u2+C+95w4ODuTn59e9Zlug45Vb3+Hw5uM4uzkxd80sWnUOb/R7KK4cVpdwy/u3DGaVVavVdfpGWFRUZHzcpRwdHY3nTZk7dy6vvfaa2dcS5hk4vjcvfP8Ycyd/yPpvt1CYX8SLSx7HwbH2Zj9TTNVAOke15P9+fIC//zzEtx9vID0ll/de/Y1lX29j4rSBDLupq3Gkam1sbW3ofl043a8L55H7hnExMZs9+89z4HA8h44mkKcpYvuuM2zfdcZYvlULX9pE+NO6pR+tWvrRKtwHH++6bVtnapWirKysGle4amxlZWWkpaWh1Wr/l8wCsLGxqXWVLXOlpOby1nurOHI8EYDo4Z158uGRqE3051ckwaysLAB8fHwoLi6udl2DvoRP3lrDlrXHAJg4bSBTHx1R7XOitvgvveeKotQ5MRbmFzFrzFyObj2Jk6sjb656kfa92pgdg7g6WV3C3bp1K0OHDjWr7MmTJ4mMjDT7uZ2cykc6mtqEWqfTGc+b8sILL/Dkk/+uA6zRaAgLa5wl5q51Qyb2x15tz5t3vM+OX/fywug3eeXnp3Fv4DzTCra2NtxwaxSDb+jMX8v3snzRdpIuZvHeq7+x5IvNjL+7H/2Gt0Vlo1x2RHNFE6C3p5oJt/YkZlwvSkpKOXU2jcNHEzgem8Tx2GRycgs5ez6ds+fTqzyHk5M9ocFeBAd6Eujvgb+fG74+bvh4u+Dl6YKnhzMuzg7G65tKzI1VAzNHWlpalU0JoLw1qK7rMFdWXFzKij/2s/iHnRTpinFysueJB0YSPaJzjY+pSIJqtZrc3FwMBgN2dnZVrpuRmsfrT/7ImRPJ2NrZ8PissYy6Ncrk89UW/6X3PDMzs06JMTcjj5dumsvp/ef+V7N9iY5929cpBnF1srqEGxkZyaJFi8wqe7ndSGoqX9G0XFlKSgrBwcE1PlatVssbogn1v/V63lz1Iq+Oe5cjW07weL+XmPPXC4S0qdv/cW0cnRy4/Z4B3Hh7L1b+tI9fvttJWnIun/53FYs/dqDvsNYMvrEDHTq1NvmBeuli+5Xn9nZsH0SnyPK/H0VRyMjMJ/ZMKufi0jkXl0F8QhaJyTkUFRVz5lw6Z86lV3v+Cra2Nri5OuLqosbVVY2L8/9+XNTl83mdHXCwV+HoaIePlyvaogxKiwtwdrLD3t6uUZsmtVotpaWl+Pv7k56ejlZbvjRmXdZhrqAoCjt2n+Xzb7ZwMbF8W8TrOoXywswbCQ7yrPWxFUnQ1dUVb2/vatc9sj+ON59ZTl5OAW4eTsyaN5GuvWre8aku8dclMaacT+PFG98k8XQK7j5uvGWiZlufGMTV4ZoapZyXl4evr2+No5RjYmL46quvzLqOjFJuGuePxDNrzFwyErJw83LhpaUz6TGy/psd1EavK2b9HwdZvmgr6SnlffI2tiquH9iG2+8ZRKduVdcDvnT1qrKyMlxcXMxuZjQUl5CSmkdicg4paXmkpuWRmZVPRqaW7JwCsnMK0P1vm8D6sLW1wdvTkZBgL9pEBBqbtCNa+uFgX7/v1ikpKXXedu9SpaVlbNt1hh9+2s2ps2kAeHk688B/hjBqWKcad2MyR1lZGSsW7+CbjzZQVlpG6/aBzH7vTgJDGm+BEHMHNx3feYpXx71DboYG/3Bf5q6ZRXikbEZwLZBpQTXMwx09ejSHDx/m1KlTxg/Ir776iunTp7N69Wqio6PNuo4k3KaTlZLDq+PeIXbvWWxsVNw7dxITnh7bZCM4c3Pz+Puv/Wz66wTnYjOMx1u09mf0bT0ZfnNX3NydqkwXqRhdHBgYWK9FEGqi1xeTl68jP7+I9Iwc8jQFGAwKpWUqCgsNFBTqyS/Qo9Xq0OTryM0rJDtHS05uITW9k+3sbGgT4U+XDiF07hhK5w7B+PqYVwOuqQ/XHFnZWtZuPM6fqw+TnJoLgJOjPePHRHHXhD64ujSsxSgvp4B5s39h3/byfvNhN3XlsVljLjvtpyms/WYTCx74gmJDCW26t+KNP5+XbfauIddcwp0zZw4Ax48fZ+nSpUybNo1WrVoBMGvWLGO5AwcO0K9fPzp27GhcaWr+/PkMGjSItWvXmn09SbhNy6Az8OFDC1n7zSYA+o+7nme+fggXD/Pm0tZF5RpM8sVcNvxxjM1rjqLXldc2HdR2DBrZmZG3dKdVex8MBgPFxcVoNBrKysqaZIRpbcseXlrLUhSFvDwNKWk55OTqycrRkZCYzbkLGZw5l0aepvpgwMAADzp3CKZzh1A6RQYR0bLhK1opikJ8Qjb7DsSxbddpjhz/d8MHdzdHxt0cxbibu2NnW1ZrbdGcGuU/O88y7+VfyMnUYu9gx0PP30T0uCiLT6sx6Iv5bOY3/PlZ+faBA8b35tnFj+DkcvntCcXV45pLuLW90S59idu3b+e5557jwIEDuLm5ERMTw9y5c+v0gSkJt+kpisJfn63j05nfUGwoISgigBd/eJzI69s2+bUL8nVsWHmYVT/v58KZNOPxoFAvht3UlZFju+Hibt9kcygvXcDB2dnZOKq1LgleURRS0/I4FpvM0eOJHI9N5nxcBmWXvCfUajtat/SjTYQ/YSHehAR5GgdzubiocVTbo1KpKCtT0BuKydfqycrWkpqWR0JSNmfOpXM8Noms7IIqz9spMpibRl3HsMGRODk6mFxU4tJ5xRVLPJp6rXpdMYs+XM9vP+wGIDzCj+fnTiCifWAj3XnzpcSlMWfi+5zeX74JxpRXYpg0+7YGzSUXV6ZrLuFamiRcyzm17yxvxLxHWnwGtna23PvWXdz25M2N9sFWW41KURRijyay9tcDbFl7lKLCf6esdenRkuE3d2XA8I64utd/f19TKicmGxsbysrKjCulGQwG/P3969WEnZ+fz/m4i5w9n8npc5kkphQQdzGbgoLLT8WzsVHVukkD8L8FQcLo0zOCQf3aEeBf9b1hajlMtVpdJQmr1WoKCwurLZl57GA877/yG0kXy6cG3RxzPdNnjmqWJuSNP25nwYNfUKgpws3blee/e4zrR3e3eBzCOkjCbWKScC1Lm1vAezM+Y9uK8ppNt6GdeHbxo/iF+jT4uc1dPlFXZGDnxpOs++Mgh/fGGVtO7B3s6NW/LUOiu9B7cPsqi+LXV+UvAcXFxaSlpVWZg9q6temR1JdTkfDs7e2Jj4/H1dUVDw9PUDmTnKblbFwGiUk5pKblkpmtJTe30ORORra2Nnh7ueDn60Z4iDctW/jQsX0wkW0DTc6jrWDqXuv1+lpr8+5u3vz8zW7+Wr4PRVHw8XPjiVduodeAdnV+/Q1VkFfAx48vMi7U0rFfe1764XH8w/0sHouwHpJwm5gkXMtTFIXVCzfw6cxv0BXqcfV04YnPZjA4pl+Dnrc+u8Ckp+SycdURNq06QnylKT7OLmr6Do1k0KjORPVtjX09RwdfGl96ejoODg5kZWURGBhIeHh4vZqwKxJeTk4OWq2WFi1aUFxcbHrjBa0WnU6Hgi22tg4UFBSQnp6OnS04OjoQEhJcLelfrv/V1PlLV1yq6K/W6XTs3x7Htx9vJiezfDrSDeOiuG/mDY3eomCOQ5uO8e5/Pib9YiY2Nirueuk2Js++vd4ro4mrhyTcJiYJt/kknknh7ckLOLWvvO9s2F0DeOT/7q33Nn8N2SBAURTizqSxec1RNq8+QnpKnvGci6sjvQe3Z+DITvTo27reOyJVxFdSUkJxcTGenp4m1xE2N16tVkt2dja5ubnY29tjZ1d97q5Go+H8+fPGxBgREYHBYLjsF5P63EtTSfjcqVQ+f3c1R/+5AEBIuA8Pv3gzUX1a1+n1NoYibRELn1/CH5+UD6oMigjg2cWP0Lm/+YvuiKubJNwmJgm3eZUUl/D9Gyv48a1fKCtT8Avz4emvHyZqeJc6P1djLSJfVlbGycMJbFl7jO0bTpCdkW885+yiptfAdvQbGknP/m1xcTV/FGvlJJmTk4ODg4PJJFkXl3vN8fHxnD17FkdHR3Q6HW3atMHb2/uyybShe8amJuXw7Scb2bjyMABqR3sm3juQ26f0N/sLS2NuCrB/3WE+uP9z0uLLp4vdfP9I7nvnbpzN3J9XXBsk4TYxSbjW4eSeM7x994ckn00FYMwDo5gxb0qzb+xdVlbGicMJ7Pj7BNvWHycz/d/NLuzsbOnSowV9h3ag96D2BAR7mvWcDU1mdVE54RYVFREcHIyzszNFRUU4OTnh7e1t3EGnsvq2FmSk5rHs622s+eUfSkpKARgS3YVpj4/E/zKrUF2qMbY01GTn8/nT37Lum80ABLb0Y+YXDxA14ro6PY+4NkjCbWKScK1HkbaIL59bwp+fljf5hbYL4plvHqFjH8sPqjGlrKyM08eT2LHhJLs2x5J4IbPK+ZZt/OnZvy09+7elY7fwKtsHXjp4qinn/lam0WiIi4tDp9MZX0NhYSEAvr6+RERENHjDeYD4c+n8/O0ONqw8TGlJGQDde0fwn8dG0q5T/VZpasgXE0VR2LR0B5/O/Ibc9DxUKhW3PBzNtLfuxMlVarXCNEm4TUwSrvX5Z/1h3v3Px2Ql52Bjo2Lic7cy5dUY7Bph4FJjSozPZPfmWHZvOcWJwwmUlZYZz6kd7bmuR0u69Ykgqk8bvP2dSEtLNbl+c1Pun1o5cRYUFBhrjAB2dna0bt263rXr0pJS9m4/w1/L9/LPzrPG4x27hRIzrT+9B3ZEpVLVu2m4vjXc5HOpfPjwQv5ZV96c3aJjKE9++YDJjQeEqEwSbhOThGud8nO0fPzY12xYUr63cbuerXnu20cbdU3bxuwjzM8r5J9d59i//Qz/7D5rHI1bwd3TiVbtfekc1YLgFq50iWqLv79lp6Dk5+dz7tw547Skmmq4l7svCXEZ/P3nITb8ddjYxK5Sqbh+UBv6jYwgvLV3lQRZ38RZ1/+fYkMxK+b/xfdv/IRBV4y92p5JL93GhGfG1nugm7i2SMJtYpJwrdvWFbv44P7Pyc8pwMHRnvv+eze3PBLdKDXCxugjrKzyFJy0RA2xR1I4uOc8xw7EG5eXrODiqqZj13A6dAujw3VhtOsUUqcBWPWNLz8/n5ycHAC8vLzM6r8NDAwkM7WQ3Vti2b7+BOdPpxrLeng5M2JMd26a0AsHpzKTTcCW6LM+svUECx78gosnkwDoNqwzj39yH6Htat45TIhLScJtYpJwrV9GYhbv3fcp+9eWNxH2Gt2dpxY+iE9Qw3aSaWgf4eXmoVYk8OLiEmKPJLBry3FOHEog7nQGel1JledTqVSEtvShXacQ2kQG0ToyiIh2gc0yTzUzM5PTsRdIjS/g8L44zh5PJyvj3xq7rZ0NPfq2YeTY7vQe3N7YV13TF5jG/mJTWXZqDl88+x0bvi9vCfH092DGu3czYvIgi6/HLK58knCbmCTcK4OiKPz+0Rq+ePY7ivXFuHm78tTCB+l/6/X1fs6GJAJzVlqqnMArlwcVeq0tF85kcfLwRWKPJpKWnGvyOv5BHoRH+BHWyo/QFr4Eh3sTFOqNr787dvYNX6jBoC8mNSmXi3EZxJ9L51xsCqeOJZKVnl+lnIPaju69I+g7tAP9hnbA3dMZqPrFw8GhfGlGg8FQpQm4MZvuK5SWlPLHJ2v55uWlFGqKUKlU3HjfCO6de1e953ELIQm3iUnCvbJcOJ7Af6f8H2cPxgENmz7UkERgzlrClRP45WrTOVlazpxI5vTxJM7FpnDuVEqVxTcuZWOjwtPHFR8/N1zd1bi4qXFzd8bDyxW12h57B1tU/9uftqS4FIOuhMICPbm5WvKytWhydeRkasnO1FbbFATK9xNu0dqPzlHh9B7Ygc5RLUyuddyUtdeaHNp0jE9nfsP5I/FAef/+Yx9Pr3GDeCHMJQm3iUnCvfIUG4r5ZtZSls/7A4Cw9sG8tHQmrbu2tFgM5uyWUzmB1ycxaTVFXDibxsXzmSTEZZB0MYuki1mkp+RRbCip9bF14eyiJqSFDy1a+9OqXQDtOobQOjIIZzP2ubXknOKUuDS+fPY7tv28BwA3b1emz51E9L3DZGcf0Sgk4TYxSbhXrv3rDjNvWvn0IXu1PdPnTuLWx0Zb5MO3rrXjxmxWLSsrIyergOyMfOLOJZKckE5psYqcnHxUih22NvYUF5egKOXXtXeww97eFlSllCnF+AV4YWtfRlCoD6Et/PD19zQ5eMoclqjhanML+HHur/y6YCXFhhJsbFTc/MAo7nltIu4+TVubFtcWSbhNTBLulS0vU8O8aZ+w+69/AIgaeR3PfvNIgwdUWbv6LBNZOTnq9XpUKhUODg4NSpRN0T9bQV+k589P1/HDW7+Qn10+aCtqRBcemH8Prbq0aJRrCFGZJNwmJgn3yqcoCiu/+JvPn1qMrlCPu48bT3x+PwPH926U526qhNIQ9dkI4dJFMAoKCvD09GzypuC6KjYUs+6bzXz/xgoyk7IBaNkpjHvnTqL3TVFWcf/F1UkSbhOThHv1iD+ZyNuTPzQOqBo5ZTAPL/gPLh4u9X7O5hgUZI6G9p1a4+sy6AysW7yFH+f+QvrF8mUz/cJ8mPJKDCPvGYytrWyfJ5qWJNwmJgn36lJsKObbV39i+Tu/UVam4B/uyxOfzaBXdPd6PZ8lBwXVRUMTpjXV3LW5Bfz1+Xp+XbCS7NRcALyDvJj47C3cfP9IHByrj44WoilIwm1iknCvTsd2xPLfKf9Halz5pvKjpg7h/nlTcPeuWy3OGmuCYF0Js74STyfz+0drWLNoI7oCPQB+oT5MeHosN943HLVT8+4UJa49knCbmCTcK0N9EkyRtohvZi/j1w9XoSgKnn7uzHh3CsMnDzR7JPPVkNisSbGhmJ2/72fVwr85sP6I8XjLzmHc/uQYht01AHsHWfdYNA9JuE1MEu6VoSE1zWM7Yvng/s+JP5EIQMd+7Xn0/+6lTfdWTRmy+B9FUTh/JJ71izfz9/dbycssX8VKpVLR+6YobnlkND1GXidfZESzk4TbxCThXhka2pdabCjm5/f+YsmbP6MrKJ8SM2zSAKa+fgeBLf2bMPJrV9LZFDYv28nmZTu4cCzBeNw7yIvo/wwl+t5hBLUKaMYIhahKEm4Tk4R7ZWisvtSMxCy+ePY7Ni/dAYCdvS03zRjJHS+MwzfYu7HDvqYoisLF2CR2/raPrSt2GUeLA9g72NH75h7cMHUovaK7YWtX9xHH0rwvmpok3CYmCffK0Ngftqf2n+OrF5ZwcMNRoDwhjJwymAlPj5Ut3eqg2FDM0W2x7PnrH/asOkDSmRTjORtbG7oN68yQmH4MvK0Prp71n54F1juATVw9JOE2MUm417aDG4+y+JVlHN9xCijvV+wzpge3Pnoj3Yd1lhqUCWnxGexfe4h9aw9xYP0RirQ64zl7Bzu6DevMgPF96H9rLzx8G+89Za1TtMTVQxJuE5OEKwCObT/Jsnd+Ny4RCRDaLojoacMZOWUQ3oFX91KRtcnNyOPQxmMc2niMgxuPknwurcp5rwAPrh8dRe+bougxqivObk2zh6/UcEVTk4TbxCThisoSTiXx64er2fD9Vgrzi4DyptFe0d0YMXkQvW/ugZOLY6Ncy5xm8ubot9Rk5XN020mObDnBoc3HOH84vsp5G1sbOvRpS89R3eg1ujtto1pZ5YYRQtSVJNwmJglXmFKkLWLT0p2sXbSRE7tOG487OqvpdWN3Bo7vQ++bohpUmzOnxmaJWl16QiZHtpzg2LaTHNsRa5w+VVmrLuFEDe9Ct2Fd6DKoAy7uzo0agxDWQBJuE5OEe/Vp7JpQ/MlENi7ZxsYftxtXrgKwV9vTbVhn+tzUg17R3QiKqNsUF3P6JBu737K0pJS4Yxc5ues0x3ed4vj2WFIvZFQrFxYZQtfBHek6pBNdh3TCK8Cz3tcU4kpxTSXclJQUFixYwJ49e9i/fz9arZZNmzYxZMiQamWHDBnCli1bqh2/4YYbWLNmjdnXlIR79WmqWqGiKJw5cJ5tK3az7Zc9VUbkAgS3CaT7sC5EjehC1yGdLjtgyBI13MykLE7uPsPJ3aeJ3XeWM/vPoyvUVyljY2tD26hWXDeoI536R9Kpf3s8/TzMvoYQVwtz84GdBWNqMqdOneK///0vbdu2pUuXLuzatavW8qGhocydO7fKseBgmdJxrdPr9ZSWlhrfOHq9vlESrkqlol2P1rTr0Zppb91F/IlEdv+5nz2rDnBi12mSz6aSfDaVlV+sB8q3lOvYtx0d+rSjbY8IWnQMxc7+37eqq6srQUFBVWrilzKnDEBpaSmpcelcOJbAuUMXOHPwPGf+OU9Wck61ss7uTkRe34ZO/cqTa8e+7XBybZqBTkJcja6KGm5+fj7FxcV4e3uzYsUKJkyYUGsNNzMzk2PHjjXomlLDvfo0x2jWgrwCDm85wcENRzm08RgXjidUK2Nnb0tYZAgtOoYS0jaIkDZBBLT0wzfEG09/D5xcHWts+i4rKyM/W0tueh4ZidmkX8wk5VwqSedSSTqdQtKZFPRFhmqPs7FR0bJLOB16t6NDn7a079WG8A4hFhnkJMSV5pqq4dbnQ7GkpASdTlfjN39x7TG3VtiYXDxc6De2F/3G9gLKp9Ic33GKEztPcWr/Oc4cOE+hpoi4oxeJO3rR5HPY2tni7OaIvaMDdva2KGUKpSWl6Ar0FGl1XO47tYOjPWGRIbTu1pLWXVvSrmdrWndr2WijqoUQ5a6KhFtXp0+fxsXFBYPBQEBAAPfddx8vv/wy9vay28i1TKVS4ebmhpubW7NNJfH086D/rdfT/9brgfIaavrFTC4cSyDhVDIJsUmkxKWRHp9BdkouukI9pSWl5OcUAAU1Pq+rpwu+Id74hfkQFBFAcOtAQtsFEdo+mMBW/rJJuxAWcM0l3NatWzN06FC6dOlCQUEBK1asYM6cOZw+fZply5bV+Di9Xo9e/++gEY1GY4lwRTPRarVWsViCjY0NgS39CWzpT5+be1Q7X6QtQptbSGF+EcX6YkqLS1HZqLC1s8XRRY2zmxNu3q5V+oCFEM3D6t6FZWVlGAzV+5RMUavVda51fPXVV1V+v/vuu5kxYwZffvklM2fOpE+fPiYfN3fuXF577bU6XUtcuZpqAFVjc3J1koFLQlwhrG4ExNatW3FycjLr59SpU41yzaeeegqAv//+u8YyL7zwAnl5ecafhITqg1vE1UOtVmNra0teXh62trao1ermDkkIcYWzuhpuZGQkixYtMqtsUFBQo1wzLCwMgOzs7BrLqNVq+dC9hjTFACpZYlCIa5vVJdzAwECmTp1q0WueP38eAD8/P4teV1ivygOoGou19AsLIZqH1TUpNyWNRlNl4BOU1zrmzJkDlK82JURTqdwvXFpaWu1vUQhxdbO6Gm59VSTN48ePA/Ddd9+xfft2AGbNmgXAgQMHuPPOO7nzzjtp06YNRUVF/Prrr+zYsYMZM2YQFRXVPMGLa0JT9AtLM7UQV46rYqUpoNYPmYqXGBcXx3PPPce+fftITU3FxsaGDh06cN999zFjxow6fVDJSlOirpoiOcper0I0v2tqpSngsqvpALRq1Yrly5dbIBohqmuKfuErZfqSEOIa68MV4moj05eEuHJcNTVcIa5FdZ2+JH2+QjQfSbhCXMHq2kwtU5OEaD7SpCzENUSmJgnRfCThCnENkT5fIZqPNCkLcQ1pjj1/hRDlJOEKcQ1piqlJQgjzSJOyEEIIYQGScIUQQggLkIQrhBBCWIAkXCGEEMICJOEKIYQQFiAJVwghhLAASbhCCCGEBUjCFUIIISxAEq4QQghhAZJwhRBCCAuQhCuEEEJYgCRcIYQQwgJk8wIhrmKKoqDVaqvsDqRSqZo7LCGuSZJwhbiKabVaUlJSKC0txdbWlqCgINkpSIhmIk3KQlzF9Ho9paWleHh4UFpail6vb+6QhLhmScIV4iqmVquxtbUlLy8PW1tb1Gp1c4ckxDVLmpSFuIq5uroSFBRUpQ9XCNE8JOEKcRVTqVS4ublJv60QVkCalIUQQggLkIQrhBBCWIAkXCGEEMICJOEKIYQQFiAJVwghhLCAqyLhbtiwgWnTptGuXTucnZ2JiIhg+vTppKSkmCy/c+dOBgwYgLOzM4GBgTz22GNotVoLRy2EEOJaolIURWnuIBqqZ8+eZGdnM2HCBNq2bcv58+f56KOPcHZ25tChQwQGBhrLHjp0iL59+9KhQwdmzJhBYmIi8+bNY+jQoaxevdrsa2o0Gjw8PMjLy8Pd3b0pXpYQQogrgLn54KqYh/vee+8xYMAAbGz+rbBHR0czePBgPvroI+bMmWM8/uKLL+Ll5cXmzZuNN6Zly5bcd999rFu3jlGjRlk8fiGEEFe/q6JJedCgQVWSbcUxb29vTp48aTym0WhYv349kydPrvItZMqUKbi6urJ8+XKLxSyEEOLaclUkXFO0Wi1arRZfX1/jsaNHj1JSUkLPnj2rlHVwcKBbt24cPHjQ0mEKIYS4Rly1CfeDDz7AYDAwceJE47GKQVRBQUHVygcFBZGcnFzj8+n1ejQaTZUfIYQQwlxW14dbVlaGwWAwq6xarTa5mfbWrVt57bXXiImJYdiwYcbjRUVFxsddytHR0XjelLlz5/Laa6+ZFZcQQghxKaur4W7duhUnJyezfk6dOlXt8bGxsYwbN47OnTuzcOHCKuecnJwATO4JqtPpjOdNeeGFF8jLyzP+JCQkNPCVCiGEuJZYXQ03MjKSRYsWmVX20qbhhIQERo0ahYeHB6tWraq2Q0pFeVPzc1NSUggODq7xWmq1WvYSFUIIUW9Wl3ADAwOZOnVqnR+XlZXFqFGj0Ov1bNiwwWQ/befOnbGzs2P//v3ExMQYjxsMBg4dOlTlmBBCCNGYrK5JuT4KCgq48cYbSUpKYtWqVbRt29ZkOQ8PD0aMGMH3339Pfn6+8fh3332HVqtlwoQJlgpZCCHENcbqarj1MWnSJPbu3cu0adM4efJklbm3rq6u3Hrrrcbf33zzTfr168fgwYONK03Nnz+fUaNGER0d3QzRCyGEuBZcFUs7tmzZkvj4eJPnWrRowYULF6oc2759O8899xwHDhzAzc2NmJgY5s6dW63PtzaytKMQQggwPx9cFQm3OUjCFUIIAebng6uiD1cIIYSwdpJwhRBCCAuQhCuEEEJYgCRcIYQQwgIk4QohhBAWIAlXCCGEsABJuEIIIYQFSMIVQgghLEASrhBCCGEBknCFEEIIC5CEK4QQQliAJFwhhBDCAiThCiGEEBYgCVcIIYSwAEm4QgghhAVIwhVCCCEsQBKuEEIIYQGScIUQQggLkIQrhBBCWIAkXCGEEMICJOEKIYQQFiAJVwghhLAASbhCCCGEBUjCFUIIISzArrkDuFIpigKARqNp5kiEEEI0p4o8UJEXaiIJt57y8/MBCAsLa+ZIhBBCWIP8/Hw8PDxqPK9SLpeShUllZWUkJyfj5uaGSqVqsutoNBrCwsJISEjA3d29ya7TVK7k+K/k2OHKjv9Kjh0k/ubUHLErikJ+fj7BwcHY2NTcUys13HqysbEhNDTUYtdzd3e/4v7wK7uS47+SY4crO/4rOXaQ+JuTpWOvrWZbQQZNCSGEEBYgCVcIIYSwAEm4Vk6tVvPKK6+gVqubO5R6uZLjv5Jjhys7/is5dpD4m5M1xy6DpoQQQggLkBquEEIIYQGScIUQQggLkIQrhBBCWIAkXCGEEMICJOFaqa1btzJ27FjCwsJwdHQkMDCQ6OhoduzYYbL8zp07GTBgAM7OzgQGBvLYY4+h1WotHPW/NmzYwLRp02jXrh3Ozs5EREQwffp0UlJSTJa3pvhTUlJ4/vnnGTp0qHElsc2bN9dY3ppiB9Dr9Tz33HMEBwfj5ORE7969Wb9+fbPFUxOtVssrr7xCdHQ03t7eqFQqvvnmG5NlT548SXR0NK6urnh7e3P33XeTkZFh2YAr2bdvH4888gidOnXCxcWF8PBwYmJiOH36dLWy1hb78ePHmTBhAhERETg7O+Pr68ugQYP4888/q5W1tthNefPNN1GpVHTu3LnaOWt7b6IIq/Tll18qt9xyizJnzhxl4cKFyrvvvqt07dpVsbGxUVavXl2l7MGDBxVHR0ele/fuyqeffqq89NJLilqtVqKjo5spekXp0aOH0qpVK+XZZ59VvvzyS+WFF15Q3NzclICAACUlJaVKWWuLf9OmTQqgtG3bVunbt68CKJs2bTJZ1tpiVxRFueOOOxQ7Ozvl6aefVj7//HOlb9++ip2dnbJt27Zmi8mUuLg4BVDCw8OVIUOGKICyaNGiauUSEhIUX19fpXXr1sqCBQuUN998U/Hy8lK6du2q6PV6yweuKMptt92mBAYGKo8++qjy5ZdfKm+88YYSEBCguLi4KEePHrXq2FeuXKnccMMNyquvvqp88cUXygcffKAMHDhQAZTPP//cqmO/VEJCguLs7Ky4uLgonTp1qnLOGt+bknCvIAUFBUpAQIByww03VDk+evRoJSgoSMnLyzMe+/LLLxVAWbt2raXDVBRFUbZs2aKUlpZWOwYoL730UpXj1ha/RqNRsrKyFEVRlJ9++qnWhGttse/Zs0cBlHfffdd4rKioSGndurXSt29fi8dTG51OZ/zytW/fvhoT7oMPPqg4OTkp8fHxxmPr16+vliAsaceOHdWSzunTpxW1Wq1MmjTJeMwaYzelpKRE6dq1q9K+fXvjsSsh9okTJyrDhg1TBg8eXC3hWtt7U1Ek4V5xOnfurPTu3dv4e15enmJnZ6c888wzVcrp9XrF1dVVuffeey0dYq28vb2V8ePHG3+39vhrS7jWGPszzzyj2NraVvmQURRFeeuttxRAuXjxosVjMkdtCdff31+ZMGFCtePt2rVThg8fboHozBcVFaVERUUZf7+SYr/55puVgIAA4+/WHvuWLVsUW1tb5ciRI9USrjW+NxVFUaQP18ppNBoyMzOJjY3lxRdf5NixYwwfPtx4/ujRo5SUlNCzZ88qj3NwcKBbt24cPHjQ0iHXSKvVotVq8fX1NR67kuK/lDXGfvDgQdq1a1dt0fbrr78egEOHDlk8poZISkoiPT292j2G8tdkTX8fiqKQlpZm/Pu29tgLCgrIzMzk3LlzvP/++6xevdr42WLtsZeWlvLoo48yffp0unTpUu28Nb43QXYLsnoxMTGsXbsWKP9juf/++5k9e7bxfMUgpKCgoGqPDQoKYtu2bZYJ1AwffPABBoOBiRMnGo9dSfFfyhpjT0lJqTEegOTkZEuH1CCXu8fZ2dno9XqrWMZvyZIlJCUl8frrrwPWH/tTTz3F559/DpTvfjZ+/Hg++ugjwPpj/+yzz4iPj+fvv/82ed4a35sgCdciysrKMBgMZpVVq9VV9td9++23eeqpp0hISGDx4sUYDAZKSkqM54uKioyPu5Sjo6PxfEM0JP4KW7du5bXXXiMmJoZhw4YZjzd1/I0Re00sce/rqqioqMZ4Ks5fSS53jyvKNHfCjY2N5eGHH6Zv377cc889xrjAemN/4oknuP3220lOTmb58uWUlpYa3yvWHHtWVhYvv/wys2fPxs/Pz2QZa3xvgiRci9i6dStDhw41q+zJkyeJjIw0/t6tWzfjvydPnkxUVBRTp05lxYoVADg5OQHlU0EupdPpjOcboiHxQ/mH0bhx4+jcuTMLFy6scq6p429o7LWxxL2vKycnpxrjqTh/JbncPa5cprmkpqZy00034eHhwYoVK7C1ta0Sl7XGHhkZafx7nzJlCqNGjWLMmDHs2bPHqmOfNWsW3t7ePProozWWscb3JkjCtYjIyEgWLVpkVllTTSAVHBwcGDt2LG+//TZFRUU4OTkZy5ua35qSkkJwcHD9gq6kIfEnJCQwatQoPDw8WLVqFW5ubibLN1X8jXXvayvflPe+roKCgkhKSjIZD9AsMTXE5e6xt7d3s9Zu8/LyGD16NLm5uWzbtq3K/bX22C91++23c//993P69Gmrjf3MmTN88cUXfPDBB1W6R3Q6HcXFxVy4cAF3d3erfG+CJFyLCAwMZOrUqY3yXEVFRSiKQn5+Pk5OTnTu3Bk7Ozv2799PTEyMsZzBYODQoUNVjtVXfePPyspi1KhR6PV6NmzYYDKhNXX8jXnvL2WJe19X3bp1Y9OmTWg0mioDp/bs2WM8fyUJCQnBz8+P/fv3Vzu3d+/eZn09Op2OMWPGcPr0af7++286duxY5bw1x25KRTNrXl4e7du3t8rYk5KSKCsr47HHHuOxxx6rdr5Vq1Y8/vjjvPbaa1b33gRk4QtrlZaWVu1YTk6OEhYWpoSFhVU5Hh0drQQFBSkajcZ4bOHChQpQbZEMS9Fqtcr111+vuLm5Kfv376+1rDXGX+Fy83CtLfbdu3dXm4er0+mUNm3aVJlOZm1qmxb0wAMPKE5OTlWmNP39998KoHz66acWjPJfJSUlytixYxU7Oztl5cqVNZazxthNfbYYDAYlKipKcXJyUvLz8xVFsc7YMzIylF9//bXaT6dOnZTw8HDl119/VY4cOaIoivW9NxVFUWQ/XCvVo0cPQkND6d27N/7+/ly8eJFFixaRnJzMsmXLuP32241lDxw4QL9+/ejYsSMzZswgMTGR+fPnM2jQIOMIZ0u79dZb+f3335k2bVq1PlRXV1duvfVW4+/WGP+cOXOA8mXwli5dyrRp02jVqhVQ3odkzbHHxMTw66+/MnPmTNq0acPixYvZu3cvGzZsYNCgQc0SU00++ugjcnNzSU5O5tNPP2X8+PF0794dgEcffRQPDw8SEhLo3r07np6ePP7442i1Wt59911CQ0PZt29fszRtPvHEEyxYsIAxY8aYrC1NnjwZwCpjHzduHBqNhkGDBhESEkJqaipLliwhNjaW+fPn8+STT1pt7DUZMmQImZmZHDt2zHjMGt+bUsO1Uh999JEyYMAAxdfXV7Gzs1P8/PyUMWPGKFu3bjVZftu2bUq/fv0UR0dHxc/PT3n44YerfLOztBYtWiiAyZ8WLVpUK29t8dcUu6m3jLXFXlRUpDz99NNKYGCgolarlV69eilr1qxptnhqU9vfSVxcnLHcsWPHlFGjRinOzs6Kp6enMmnSJCU1NbXZ4h48eLDZfyPWFvuPP/6ojBgxQgkICFDs7OwULy8vZcSIEcrvv/9eray1xV4TUytNKYr1vTelhiuEEEJYgKw0JYQQQliAJFwhhBDCAiThCiGEEBYgCVcIIYSwAEm4QgghhAVIwhVCCCEsQBKuEEIIYQGScIUQQggLkIQrhBBCWIAkXCGuQZs3b0alUpn8cXV1pWPHjjz66KOcP3/e5OPz8vJ47733uOGGGwgODkatVuPs7Ezbtm256667+OmnnyguLjaWT0xM5PXXX2fs2LEEBwdXud6rr75qoVctRPOS7fmEEFUUFBRw8uRJTp48yddff83vv//OiBEjjOd/+eUXpk+fTk5OTrXHnj17lrNnz/Ljjz+yadMmhgwZAsD+/ft55ZVXLPUShLBKknCFEEycOJGePXtiMBjYtWsXf/31FwCFhYXcfffdXLhwAbVazbJly7jzzjupvAT7iBEj6Nu3L2q1mgsXLvD3339z4cKFatdwdXWle/fu9OzZk/fff99SL00IqyEJVwhBdHQ0U6dONf4+efJklixZAkBqaio7duygS5cuzJgxw5hsnZ2d+e233xg5cmSV51IUhZ9//hk/Pz/jsdGjR5OXl4eNTXkvliRccS2SPlwhRDV9+/at8ntqaipff/01Go3GeOyNN96olmwBVCoVt99+O506dTIeU6vVxmQrxLVK3gFCiGp27dpV5ffAwEA2bNhg/F2lUlWpEQshLk+alIUQrFmzhszMTAwGA7t37+bPP/80ngsICKBfv34kJSUZj/n7++Pt7d0coQpxxZKEK4Rg2bJlLFu2rNpxR0dHFi9ejKOjYzNEJcTVRZqUhRBVODk5ERkZyUMPPcTRo0e54YYbAAgJCTGWSU9PNzktSAhRM0m4QggWLVqEoigoikJhYSEnT57k448/pk2bNsYyw4cPN/5bURQWL17cHKEKccWShCuEMMu0adNwc3Mz/j5r1iw2btxYrVzFtKDjx49bMjwhrJ704QohzOLn58dnn33G5MmTURSFgoICRowYYVz4wsHBgfj4eNavX8+FCxfYtGmT8bHnzp3j008/Nfm869atQ6vVAtC6dWsefPBBi7weISxNEq4Qwmx33XUXdnZ2zJgxg7y8PBRFYf369axfv77WxyUkJDB//nyT53bt2mWchjR48GBJuOKqJU3KQog6iYmJIS4ujnnz5jFixAgCAgJwcHDA0dGRNm3acM8997By5UoGDBjQ3KEKYVVUSuVFUYUQQgjRJKSGK4QQQliAJFwhhBDCAiThCiGEEBYgCVcIIYSwAEm4QgghhAVIwhVCCCEsQBKuEEIIYQGScIUQQggLkIQrhBBCWIAkXCGEEMICJOEKIYQQFiAJVwghhLAASbhCCCGEBfw/Dx33D0uHVIUAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Emh0vU5UjgB6"
      },
      "source": [
        "---\n",
        "---\n",
        "# **General Analysis**\n",
        "\n",
        "Although visualizing your trajectory can be quite useful, sometimes you also want more quantitative data.\n",
        "\n",
        "Analyses of ensemble trajectories vary a lot and we do not intend to cover it all here. However, one can make use of MDanalysis or PyTraj to easily analyze simulations.\n",
        "\n",
        "Below, you can find a few examples of code snippets that can help you to shed some light on your ensemble behavior."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "wBrBMF4Puyv6",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "26cb3146-8b11-4037-9c1f-ff9024e2bcbf"
      },
      "source": [
        "#@title **Compute RMSD of protein's CA atoms**\n",
        "#@markdown **Provide output file names below:**\n",
        "Output_name = 'rmsd_ca' #@param {type:\"string\"}\n",
        "\n",
        "import matplotlib.pyplot as plt\n",
        "import pandas as pd\n",
        "rmsd = pt.rmsd(traj_load, ref = 0, mask = \"@CA\")\n",
        "\n",
        "# Plotting:\n",
        "ax = plt.plot(rmsd, alpha=0.6, color = 'blue', linewidth = 1.0)\n",
        "plt.xlim(0, len(rmsd))\n",
        "#plt.ylim(2, 6)\n",
        "\n",
        "plt.xlabel(\"Frames\", fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel(\"RMSD [$\\AA$]\", fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks(fontsize = 12)\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')\n",
        "\n",
        "raw_data=pd.DataFrame(rmsd)\n",
        "raw_data.to_csv(os.path.join(workDir, Output_name + \".csv\"))"
      ],
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "ZHyMpikjuaLT",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 465
        },
        "outputId": "b56b9a63-c933-446c-a051-ac0e3703065c"
      },
      "source": [
        "#@title **Plot RMSD as a ditribution**\n",
        "\n",
        "#@markdown **Provide output file names below:**\n",
        "Output_name = 'rmsd_dist' #@param {type:\"string\"}\n",
        "import seaborn as sb\n",
        "ax = sb.kdeplot(rmsd, color=\"blue\", shade=True, alpha=0.2, linewidth=0.5)\n",
        "plt.xlabel('RMSD [$\\AA$]', fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks([])\n",
        "plt.ylabel('')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_visible(True)\n",
        "ax.spines['left'].set_visible(False)\n",
        "\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')"
      ],
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "CvOFrXGXwXrV",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "7dbbaad7-128d-49f3-d229-705791d7e11f"
      },
      "source": [
        "#@title **Compute radius of gyration of protein's CA atoms**\n",
        "\n",
        "#@markdown **Provide output file names below:**\n",
        "Output_name = 'radius_gyration' #@param {type:\"string\"}\n",
        "\n",
        "radgyr = pt.radgyr(traj_load, mask = \"@CA\")\n",
        "# Plotting:\n",
        "plt.plot(radgyr, alpha=0.6, color = 'green', linewidth = 1.0)\n",
        "plt.xlim(0, len(radgyr))\n",
        "#plt.ylim(2, 6)\n",
        "\n",
        "plt.xlabel(\"Frames\", fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel(\"Radius of gyration ($\\AA$)\", fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks(fontsize = 12)\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')\n",
        "\n",
        "raw_data=pd.DataFrame(radgyr)\n",
        "raw_data.to_csv(os.path.join(workDir, Output_name + \".csv\"))"
      ],
      "execution_count": 50,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "2Q7FKg8Fuxr9",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 466
        },
        "outputId": "ffd0d779-afe0-4631-f15a-372eda74890e"
      },
      "source": [
        "#@title **Plot radius of gyration as a ditribution**\n",
        "\n",
        "#@markdown **Provide output file names below:**\n",
        "Output_name = 'radius_gyration_dist' #@param {type:\"string\"}\n",
        "\n",
        "ax = sb.kdeplot(radgyr, color=\"green\", shade=True, alpha=0.2, linewidth=0.5)\n",
        "plt.xlabel('Radius of gyration ($\\AA$)', fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks([])\n",
        "plt.ylabel('')\n",
        "ax.spines['top'].set_visible(False)\n",
        "ax.spines['right'].set_visible(False)\n",
        "ax.spines['bottom'].set_visible(True)\n",
        "ax.spines['left'].set_visible(False)\n",
        "\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')"
      ],
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#@title **Plot RMSD X radius of gyration**\n",
        "\n",
        "#@markdown **Provide output file names below:**\n",
        "\n",
        "Output_name = 'rmsd_radius_gyration' #@param {type:\"string\"}\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from scipy.stats import gaussian_kde\n",
        "\n",
        "# Create the figure\n",
        "plt.figure(figsize=(5, 5))\n",
        "plt.scatter(rmsd, radgyr, s=5, color=\"gray\", alpha=0.2)\n",
        "\n",
        "# Plot a KDE contour map (no fill)\n",
        "sns.kdeplot(x=rmsd, y=radgyr, cmap=\"viridis\", levels=10, linewidths=1)\n",
        "\n",
        "plt.xlabel(f\"RMSD (Å)\", fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel(f\"Radius of Gyration (Å)\", fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks(fontsize = 12)\n",
        "\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 476
        },
        "cellView": "form",
        "id": "e3HOvtVaw3J2",
        "outputId": "3d29fa50-b297-4e80-f300-859839b8c225"
      },
      "execution_count": 52,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 500x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "p2Y0DgwTxLWc",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 458
        },
        "outputId": "ba2c04bc-323b-4784-ddb6-2faf0c8c8bb0"
      },
      "source": [
        "#@title **Compute RMSF of protein's CA atoms**\n",
        "\n",
        "#@markdown **Provide output file names below:**\n",
        "Output_name = 'rmsf_ca' #@param {type:\"string\"}\n",
        "\n",
        "\n",
        "rmsf = pt.rmsf(traj_load, \"@CA\")\n",
        "bfactor = pt.bfactors(traj_load, byres=True)\n",
        "\n",
        "# Plotting:\n",
        "plt.plot(rmsf[:,1], alpha=1.0, color = 'red', linewidth = 1.0)\n",
        "\n",
        "plt.xlabel(\"Residue\", fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel(\"RMSF ($\\AA$)\", fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.xlim(0, len(rmsf[:-1]))\n",
        "\n",
        "#plt.xticks(np.arange(min(rmsf[:1]), max(rmsf[:1])))\n",
        "plt.yticks(fontsize = 12)\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')\n",
        "\n",
        "raw_data=pd.DataFrame(rmsf)\n",
        "raw_data.to_csv(os.path.join(workDir, Output_name + \".csv\"))"
      ],
      "execution_count": 53,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "pTDb7CEfkLq1",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 464
        },
        "outputId": "e094573b-13bd-4509-bd97-1979b8c10a58"
      },
      "source": [
        "#@title **Pearson's Cross Correlation (CC)**\n",
        "\n",
        "#@markdown **Provide output file names below:**\n",
        "Output_name = 'cross_correlation' #@param {type:\"string\"}\n",
        "\n",
        "from pytraj import matrix\n",
        "traj_align = pt.align(traj_load, mask='@CA', ref=0)\n",
        "\n",
        "mat_cc = matrix.correl(traj_align, '@CA')\n",
        "\n",
        "ax = plt.imshow(mat_cc, cmap = 'PiYG_r', interpolation = 'bicubic', vmin = -1, vmax = 1, origin='lower')\n",
        "\n",
        "plt.xlabel('Residues', fontsize = 14, fontweight = 'bold')\n",
        "plt.ylabel('Residues', fontsize = 14, fontweight = 'bold')\n",
        "plt.xticks(fontsize = 12)\n",
        "plt.yticks(fontsize = 12)\n",
        "cbar1 = plt.colorbar()\n",
        "cbar1.set_label('$CC_ij$', fontsize = 14, fontweight = 'bold')\n",
        "\n",
        "plt.savefig(os.path.join(workDir, Output_name + \".png\"), dpi=600, bbox_inches='tight')\n",
        "\n",
        "raw_data=pd.DataFrame(mat_cc)\n",
        "raw_data.to_csv(os.path.join(workDir, Output_name + \".csv\"))"
      ],
      "execution_count": 54,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}