Tutorial_AlphaFold.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "G4yBrceuFbf3"
      },
      "source": [
        "```\n",
        "# 13/12/23 por Felipe Zuñiga, Andres Peralta, Sergio Guzman\n",
        "```\n",
        "\n",
        "##Tutorial AlphaFold \n",
        "\n",
        "Este cuaderno interactivo permite realizar predicción de estructuras y complejos proteicos utilizando [AlphaFold2](https://www.nature.com/articles/s41586-021-03819-2) y [Alphafold2-multimer](https://www.biorxiv.org/content/10.1101/2021.10.04.463034v1). Las alineaciones/plantillas de secuencias se generan mediante [MMseqs2](mmseqs.com) y [HHsearch](https://github.com/soedinglab/hh-suite). Para más detalles, consulte la parte inferior del cuaderno, echa un vistazo a la ColabFold GitHub y leer nuestro manuscrito."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kOblAo-xetgx",
        "cellView": "form"
      },
      "source": [
        "#@title Introduzca la(s) secuencia(s) proteica(s) y pulse `Runtime` -> `Run all`.\n",
        "\n",
        "# Importamos las librerias necesarias\n",
        "from google.colab import files\n",
        "import os\n",
        "import re\n",
        "import hashlib\n",
        "import random\n",
        "\n",
        "# Verificamos la versión de Python disponible\n",
        "from sys import version_info \n",
        "python_version = f\"{version_info.major}.{version_info.minor}\"\n",
        "\n",
        "def add_hash(x,y):\n",
        "  return x+\"_\"+hashlib.sha1(y.encode()).hexdigest()[:5]\n",
        "\n",
        "query_sequence = 'MAAHKGAEHHHKAAEHHEQAAKHHHAAAEHHEKGEHEQAAHHADTAYAHHKHAEEHAAQAAKHDAEHHAPKPH' #@param {type:\"string\"}\n",
        "#@markdown  - Utilice `:` para especificar rupturas de cadena entre proteínas para **modelar complejos** (admite homo- y hetro-oligómeros). Por ejemplo **PI...SK:PI...SK** para un homodímero.\n",
        "\n",
        "# Quita los espacios en blanco\n",
        "query_sequence = \"\".join(query_sequence.split())\n",
        "\n",
        "jobname = 'test' #@param {type:\"string\"}\n",
        "# Quita los espacios en blanco\n",
        "basejobname = \"\".join(jobname.split())\n",
        "basejobname = re.sub(r'\\W+', '', basejobname)\n",
        "jobname = add_hash(basejobname, query_sequence)\n",
        "os.makedirs(jobname, exist_ok=True)\n",
        "queries_path = os.path.join(jobname, f\"{jobname}.csv\")\n",
        "\n",
        "while os.path.isfile(queries_path):\n",
        "  jobname = add_hash(basejobname, ''.join(random.sample(query_sequence,len(query_sequence))))\n",
        "  os.makedirs(jobname, exist_ok=True)\n",
        "  queries_path = os.path.join(jobname, f\"{jobname}.csv\")\n",
        "\n",
        "with open(queries_path, \"w\") as text_file:\n",
        "  text_file.write(f\"id,sequence\\n{jobname},{query_sequence}\")\n",
        "\n",
        "# number of models to use\n",
        "num_relax = 0 #@param [0, 1, 5] {type:\"raw\"}\n",
        "use_amber = num_relax > 0\n",
        "#@markdown - Especificar cuántas de las estructuras mejor clasificadas hay que relajar utilizando ámbar\n",
        "template_mode = \"none\" #@param [\"none\", \"pdb70\",\"custom\"]\n",
        "#@markdown - `none` = no se utiliza información sobre plantillas. `pdb70` = detectar plantillas en pdb70. `custom` - cargar y buscar plantillas propias (formato PDB o mmCIF, ver [notas más abajo](#custom_templates)).\n",
        "\n",
        "if template_mode == \"pdb70\":\n",
        "  use_templates = True\n",
        "  custom_template_path = None\n",
        "elif template_mode == \"custom\":\n",
        "  custom_template_path = os.path.join(jobname,f\"template\")\n",
        "  os.makedirs(custom_template_path, exist_ok=True)\n",
        "  uploaded = files.upload()\n",
        "  use_templates = True\n",
        "  for fn in uploaded.keys():\n",
        "    os.rename(fn,os.path.join(custom_template_path,fn))\n",
        "else:\n",
        "  custom_template_path = None\n",
        "  use_templates = False\n"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iccGdbe_Pmt9",
        "pycharm": {
          "name": "#%%\n"
        },
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f25c93e7-6a0f-4d72-86db-ede21ea2dc8c"
      },
      "source": [
        "#@title Instalar las dependencias\n",
        "%%bash -s $use_amber $use_templates $python_version\n",
        "\n",
        "set -e\n",
        "\n",
        "USE_AMBER=$1\n",
        "USE_TEMPLATES=$2\n",
        "PYTHON_VERSION=$3\n",
        "\n",
        "if [ ! -f COLABFOLD_READY ]; then\n",
        "  echo \"installing colabfold...\"\n",
        "  # install dependencies\n",
        "  # We have to use \"--no-warn-conflicts\" because colab already has a lot preinstalled with requirements different to ours\n",
        "  pip install -q --no-warn-conflicts \"colabfold[alphafold-minus-jax] @ git+https://github.com/sokrypton/ColabFold\"\n",
        "  # high risk high gain\n",
        "  pip install -q \"jax[cuda11_cudnn805]>=0.3.8,<0.4\" -f https://storage.googleapis.com/jax-releases/jax_releases.html\n",
        "\n",
        "  # for debugging\n",
        "  ln -s /usr/local/lib/python3.*/dist-packages/colabfold colabfold\n",
        "  ln -s /usr/local/lib/python3.*/dist-packages/alphafold alphafold\n",
        "  touch COLABFOLD_READY\n",
        "fi\n",
        "\n",
        "# setup conda\n",
        "if [ ${USE_AMBER} == \"True\" ] || [ ${USE_TEMPLATES} == \"True\" ]; then\n",
        "  if [ ! -f CONDA_READY ]; then\n",
        "    echo \"installing conda...\"\n",
        "    wget -qnc https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh\n",
        "    bash Miniconda3-latest-Linux-x86_64.sh -bfp /usr/local 2>&1 1>/dev/null\n",
        "    rm Miniconda3-latest-Linux-x86_64.sh\n",
        "    touch CONDA_READY\n",
        "  fi\n",
        "fi\n",
        "# setup template search\n",
        "if [ ${USE_TEMPLATES} == \"True\" ] && [ ! -f HH_READY ]; then\n",
        "  echo \"installing hhsuite...\"\n",
        "  conda install -y -q -c conda-forge -c bioconda kalign2=2.04 hhsuite=3.3.0 python=\"${PYTHON_VERSION}\" 2>&1 1>/dev/null\n",
        "  touch HH_READY\n",
        "fi\n",
        "# setup openmm for amber refinement\n",
        "if [ ${USE_AMBER} == \"True\" ] && [ ! -f AMBER_READY ]; then\n",
        "  echo \"installing amber...\"\n",
        "  conda install -y -q -c conda-forge openmm=7.5.1 python=\"${PYTHON_VERSION}\" pdbfixer 2>&1 1>/dev/null\n",
        "  touch AMBER_READY\n",
        "fi"
      ],
      "execution_count": 2,
      "outputs": [
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          "output_type": "stream",
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          "text": [
            "installing colabfold...\n",
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          ]
        }
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    {
      "cell_type": "code",
      "source": [
        "#@markdown ### Opciones de MSA (carga personalizada de MSA, secuencia única, modo de emparejamiento)\n",
        "msa_mode = \"mmseqs2_uniref_env\" #@param [\"mmseqs2_uniref_env\", \"mmseqs2_uniref\",\"single_sequence\",\"custom\"]\n",
        "pair_mode = \"unpaired_paired\" #@param [\"unpaired_paired\",\"paired\",\"unpaired\"] {type:\"string\"}\n",
        "#@markdown - \"unpaired_paired\" = emparejar secuencias de la misma especie + MSA no emparejado, \"unpaired\" = MSA separado para cada cadena, \"paired\" - utilizar sólo secuencias emparejadas.\n",
        "\n",
        "# decide which a3m to use\n",
        "if \"mmseqs2\" in msa_mode:\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.a3m\")\n",
        "\n",
        "elif msa_mode == \"custom\":\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.custom.a3m\")\n",
        "  if not os.path.isfile(a3m_file):\n",
        "    custom_msa_dict = files.upload()\n",
        "    custom_msa = list(custom_msa_dict.keys())[0]\n",
        "    header = 0\n",
        "    import fileinput\n",
        "    for line in fileinput.FileInput(custom_msa,inplace=1):\n",
        "      if line.startswith(\">\"):\n",
        "         header = header + 1\n",
        "      if not line.rstrip():\n",
        "        continue\n",
        "      if line.startswith(\">\") == False and header == 1:\n",
        "         query_sequence = line.rstrip()\n",
        "      print(line, end='')\n",
        "\n",
        "    os.rename(custom_msa, a3m_file)\n",
        "    queries_path=a3m_file\n",
        "    print(f\"moving {custom_msa} to {a3m_file}\")\n",
        "    \n",
        "else:\n",
        "  a3m_file = os.path.join(jobname,f\"{jobname}.single_sequence.a3m\")\n",
        "  with open(a3m_file, \"w\") as text_file:\n",
        "    text_file.write(\">1\\n%s\" % query_sequence)"
      ],
      "metadata": {
        "id": "C2_sh2uAonJH",
        "cellView": "form"
      },
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@markdown ### Ajustes avanzados\n",
        "model_type = \"auto\" #@param [\"auto\", \"alphafold2_ptm\", \"alphafold2_multimer_v1\", \"alphafold2_multimer_v2\", \"alphafold2_multimer_v3\"]\n",
        "#@markdown - Si se selecciona `auto`, se utilizará `alphafold2_ptm` para la predicción de monómeros y `alphafold2_multimer_v3` para la predicción de complejos.\n",
        "#@markdown Se puede utilizar cualquiera de los mode_types (independientemente de si la entrada es monómero o complejo).\n",
        "num_recycles = \"auto\" #@param [\"auto\", \"0\", \"1\", \"3\", \"6\", \"12\", \"24\", \"48\"]\n",
        "recycle_early_stop_tolerance = \"auto\" #@param [\"auto\", \"0.0\", \"0.5\", \"1.0\"]\n",
        "#@markdown - Si se selecciona `auto`, utilizará 20 reciclados si `model_type=alphafold2_multimer_v3` (con tol=0.5), todos los demás 3 reciclados (con tol=0.0).\n",
        "\n",
        "#@markdown #### Ajustes de muestra\n",
        "#@markdown -  Permitir abandonos y aumentar el número de semillas para muestrear las predicciones a partir de la incertidumbre del modelo.\n",
        "#@markdown -  Disminuir `max_msa` para aumentar la incertidumbre\n",
        "max_msa = \"auto\" #@param [\"auto\", \"512:1024\", \"256:512\", \"64:128\", \"32:64\", \"16:32\"]\n",
        "num_seeds = 1 #@param [1,2,4,8,16] {type:\"raw\"}\n",
        "use_dropout = False #@param {type:\"boolean\"}\n",
        "\n",
        "num_recycles = None if num_recycles == \"auto\" else int(num_recycles)\n",
        "recycle_early_stop_tolerance = None if recycle_early_stop_tolerance == \"auto\" else float(recycle_early_stop_tolerance)\n",
        "if max_msa == \"auto\": max_msa = None\n",
        "\n",
        "#@markdown #### Configuración de guardado\n",
        "save_all = False #@param {type:\"boolean\"}\n",
        "save_recycles = False #@param {type:\"boolean\"}\n",
        "save_to_google_drive = False #@param {type:\"boolean\"}\n",
        "#@markdown -  Si se ha seleccionado la opción save_to_google_drive, el zip resultante se cargará en Google Drive\n",
        "dpi = 200 #@param {type:\"integer\"}\n",
        "#@markdown - Establecer dpi para la resolución de la imagen\n",
        "\n",
        "if save_to_google_drive:\n",
        "  from pydrive.drive import GoogleDrive\n",
        "  from pydrive.auth import GoogleAuth\n",
        "  from google.colab import auth\n",
        "  from oauth2client.client import GoogleCredentials\n",
        "  auth.authenticate_user()\n",
        "  gauth = GoogleAuth()\n",
        "  gauth.credentials = GoogleCredentials.get_application_default()\n",
        "  drive = GoogleDrive(gauth)\n",
        "  print(\"You are logged into Google Drive and are good to go!\")\n",
        "\n",
        "#@markdown No olvides pulsar `Runtime` -> `Run all` después de actualizar el formulario."
      ],
      "metadata": {
        "id": "ADDuaolKmjGW",
        "cellView": "form"
      },
      "execution_count": 4,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#@title Correr predicción\n",
        "display_images = True #@param {type:\"boolean\"}\n",
        "\n",
        "import sys\n",
        "import warnings\n",
        "warnings.simplefilter(action='ignore', category=FutureWarning)\n",
        "from Bio import BiopythonDeprecationWarning\n",
        "warnings.simplefilter(action='ignore', category=BiopythonDeprecationWarning)\n",
        "from pathlib import Path\n",
        "from colabfold.download import download_alphafold_params, default_data_dir\n",
        "from colabfold.utils import setup_logging\n",
        "from colabfold.batch import get_queries, run, set_model_type\n",
        "from colabfold.plot import plot_msa_v2\n",
        "\n",
        "import os\n",
        "import numpy as np\n",
        "try:\n",
        "  K80_chk = os.popen('nvidia-smi | grep \"Tesla K80\" | wc -l').read()\n",
        "except:\n",
        "  K80_chk = \"0\"\n",
        "  pass\n",
        "if \"1\" in K80_chk:\n",
        "  print(\"WARNING: found GPU Tesla K80: limited to total length < 1000\")\n",
        "  if \"TF_FORCE_UNIFIED_MEMORY\" in os.environ:\n",
        "    del os.environ[\"TF_FORCE_UNIFIED_MEMORY\"]\n",
        "  if \"XLA_PYTHON_CLIENT_MEM_FRACTION\" in os.environ:\n",
        "    del os.environ[\"XLA_PYTHON_CLIENT_MEM_FRACTION\"]\n",
        "\n",
        "from colabfold.colabfold import plot_protein\n",
        "from pathlib import Path\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# For some reason we need that to get pdbfixer to import\n",
        "if use_amber and f\"/usr/local/lib/python{python_version}/site-packages/\" not in sys.path:\n",
        "    sys.path.insert(0, f\"/usr/local/lib/python{python_version}/site-packages/\")\n",
        "\n",
        "def input_features_callback(input_features):  \n",
        "  if display_images:    \n",
        "    plot_msa_v2(input_features)\n",
        "    plt.show()\n",
        "    plt.close()\n",
        "\n",
        "def prediction_callback(protein_obj, length,\n",
        "                        prediction_result, input_features, mode):\n",
        "  model_name, relaxed = mode\n",
        "  if not relaxed:\n",
        "    if display_images:\n",
        "      fig = plot_protein(protein_obj, Ls=length, dpi=150)\n",
        "      plt.show()\n",
        "      plt.close()\n",
        "\n",
        "result_dir = jobname\n",
        "if 'logging_setup' not in globals():\n",
        "    setup_logging(Path(os.path.join(jobname,\"log.txt\")))\n",
        "    logging_setup = True\n",
        "\n",
        "queries, is_complex = get_queries(queries_path)\n",
        "model_type = set_model_type(is_complex, model_type)\n",
        "\n",
        "if \"multimer\" in model_type and max_msa is not None:\n",
        "  use_cluster_profile = False\n",
        "else:\n",
        "  use_cluster_profile = True\n",
        "\n",
        "download_alphafold_params(model_type, Path(\".\"))\n",
        "results = run(\n",
        "    queries=queries,\n",
        "    result_dir=result_dir,\n",
        "    use_templates=use_templates,\n",
        "    custom_template_path=custom_template_path,\n",
        "    num_relax=num_relax,\n",
        "    msa_mode=msa_mode,    \n",
        "    model_type=model_type,\n",
        "    num_models=5,\n",
        "    num_recycles=num_recycles,\n",
        "    recycle_early_stop_tolerance=recycle_early_stop_tolerance,\n",
        "    num_seeds=num_seeds,\n",
        "    use_dropout=use_dropout,\n",
        "    model_order=[1,2,3,4,5],\n",
        "    is_complex=is_complex,\n",
        "    data_dir=Path(\".\"),\n",
        "    keep_existing_results=False,\n",
        "    rank_by=\"auto\",\n",
        "    pair_mode=pair_mode,\n",
        "    stop_at_score=float(100),\n",
        "    prediction_callback=prediction_callback,\n",
        "    dpi=dpi,\n",
        "    zip_results=False,\n",
        "    save_all=save_all,\n",
        "    max_msa=max_msa,\n",
        "    use_cluster_profile=use_cluster_profile,\n",
        "    input_features_callback=input_features_callback,\n",
        "    save_recycles=save_recycles,\n",
        ")\n",
        "results_zip = f\"{jobname}.result.zip\"\n",
        "os.system(f\"zip -r {results_zip} {jobname}\")"
      ],
      "metadata": {
        "id": "mbaIO9pWjaN0",
        "outputId": "4fd7fb24-0474-4952-f495-0b9fc2c4f325",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "collapsed": true,
        "cellView": "form"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "Downloading alphafold2 weights to .: 100%|██████████| 3.47G/3.47G [01:45<00:00, 35.4MB/s]\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:34:25,219 Running on GPU\n",
            "2023-02-13 10:34:25,315 Found 4 citations for tools or databases\n",
            "2023-02-13 10:34:25,316 Query 1/1: test_d3585 (length 73)\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "COMPLETE: 100%|██████████| 150/150 [elapsed: 00:01 remaining: 00:00]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x500 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:34:27,205 Padding length to 73\n",
            "2023-02-13 10:34:27,206 Setting max_seq=2, max_extra_seq=1\n",
            "2023-02-13 10:35:01,497 alphafold2_ptm_model_1_seed_000 recycle=0 pLDDT=81.3 pTM=0.597\n",
            "2023-02-13 10:35:01,979 alphafold2_ptm_model_1_seed_000 recycle=1 pLDDT=86.4 pTM=0.661\n",
            "2023-02-13 10:35:02,484 alphafold2_ptm_model_1_seed_000 recycle=2 pLDDT=86.7 pTM=0.662\n",
            "2023-02-13 10:35:02,987 alphafold2_ptm_model_1_seed_000 recycle=3 pLDDT=87 pTM=0.666\n",
            "2023-02-13 10:35:02,992 alphafold2_ptm_model_1_seed_000 took 23.7s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": 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LJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiogALJCIiIiIiooBxsHcgrN0Nl4hhxsaLaP09z3nZsstetufNVAd7v4iIiA6E3XMbxPi3OV7apb9X4b1svWK/bN89jzlIRFRiotShfWxNTppa4Trpe0TTPqFputXxvOc677hu+hvlf5/1+4O5f0RERD0pOWVShVvj3CMt2ie0dm1fDpa777h93G+UX/d35iARUQkdsgVSctLUagBXKaWuE5FErnmUUnCd5PSyx+/92QHePSIioh6VnDLJz0FNXSdenhyEgjvImV72g8eZg0REJXLIFUjJSVOPAPB1AFcDqCo2v1Ie0qm2MyoW/uGZHt85IiKiHpacMilaDpoK6SGpMyq+vpA5SERUAodMgZScNLUPgGsATANQHmXZdKp1k5NODq1eNDvdIztHRETUw5JTJnU9B4emNjlHp4dWX7SIOUhE1E0HfZCG5KSp/QF8E8BUADm7EBQjmnE0kLwewA9KuW9EREQ9LTllUvdz8F3taADMQSKiEjhoZ5CSk6YOAvBtAJcDsLuzLiedRDrV6gE4o3rR7GdLsX9EREQ9KTllUulysH8a6RNTfg5etIg5SETUDQe8QEpOmjoYwHUAvgDAKjx3OOlUG5x0OwA0ARhRvWh2cynWS0REVGrJKZMGo9Q5eGwKzrFpoCMHL1rEHCQi6qID1sUuOWnqEADfBXBZKberlILjJDv+WQfgVvitcURERIeM5JRJPZODuoIz0On4J3OQiKibevwMUnLS1GEAvgfg0wC0Uq8/lWyFu69A6vDR6kWzHyn1tohK5akVA3WIfEt07QpoWm8o5cLzGpXrXXXmKVtXHez9K7WvPVktt52z+9AYEYboAEtOmdSzOXh8Em6tk/30R6svWsQcpEPWwBNX6CLyLU3Xr9A0rbdSyvU8r9Fz3au2vnzKYZeD1cc8Kbv/fQ5z8D2ixwqk5KSpvQDcDj8QpNTrV8pDKtkKz805YM8bAE6qXjT7P6XeLlF3PbVioC2G/rJmmnXZ05RS8FKpn5w5asv1B2PfSuXqRdWVYmizNEOfCE2zoADlupuV495029lvzziQ+/KhJTXy2PhdDCU64JJTJvVsDhoKqROT8Pq4uSb7OXjRIuYgHXIGnrjC1g3jZTNPDqZSqZ9seWnUezoHqwcvqtR0Y5auGxM1TbMABddxN7uec9Pbr519QHOwZsgS2bVhPHMwgh4pkJKTpp4I4FEAg0u9bqU8OOlkxzVHhcyDfyaJHwg6pCxZXbtGs6zh+aYHRdLUM0dtuftA7lepfG1x9VGaZa4XXe900bn/2tJzbjvzrUt6ch8+tKTmfaLrD4iuDYWmWfC8duV6LynX/fhj43dt7cltEwFAcsqknstBU8E5Kg2nNl2so56fgxctYg7SIaX2favXWEVyMJVKTd3y0qj3ZA5WH7P4KNO01ut5cjCdTs15q+nMHs3BmiFL3qfr+gOapg/VNM3yPK/d89yXXNf9+K4N45mDRZS8QEpOmqoBeA7AKaVcr1Iq6aTbbCfdqTtdIZdXL5r9m1LuBx146+4ZdqRhG59SSsUBWW6X20/WXriqyx/cVQ8PEtHkJs3QLhRN+kGhzXO9tRD5zvsnbXq6lPuebfHSvlONivK7RAo3JivPaxFN63N6fVNbT+4PANy5tK+BmF0Fx3nryjHbu3VAuPqJSk2LWTs00+hTaD4v7fzsf894c3p3tpXPh57ufY1mmTeLpnV6k5XneV4yfdFj4998uCe2TQQAySmTeiYHdZV0jknbzqCihVGmy6svWsQcfI8b9ul1Rxqan4MCLLd1+8lV99V2+Xg96KRVIiI3aZp2oYj0A9Dmed5aAb6z6V/v79Ec7Hvc0qnlFRVFc9DzvBZN0/o0razv8Rzse9xSw47FqhzHeWv7mjHdysHKo57QLDu2wzDMgjnopNM/e3PDGT2Sg72HPH2NaVk3azly0PM8L51KXvTmhvHMwQJ6okD6OIBSvunbAdyUSrbMcZ3UMgCDIizbAn9Uuw0l3J//Gk3fre+lG/rDmqGP1nStTLle0nW9V92087m6nzX+q6e3v/au43rb5bEFhm2cIhl/407KecdNuVOGTG6cHXWdKx8a1M+IGc8blt4v13TP9VZruvYDAI/Xn9vkdX3vO3tySU2tZlvrjEQiHmZ+pdQvzzjptW+Xavt3Pt1bANQCeB+Ak6Fp42CZZ0LXy0UESinA816D43zpyrE7FndlG1f/s/KbRnnil8XmU0opEWm4tYvbyef8f1ZN1CsS80XLf5mHct2Ul0wPfOzMXW+WcttEHZJTJvVMDp6QnOMOcLqWgxctYg52Qf19Tb10pT+sK220Bq3Mg0p64r7qiPu5xsvqejwHj/v02t4xzV5giHFKZkHheM47rnKnNN4/JHIODqpf2c8wjOd1w8idg563WtP8HGxaWV/SHKypW1Jr2fa6RIQcfG3VSSXLwd5Dnt4vBzVNG2da1pl6Rg56nvea4zhf2rF27OKubKPy6H9+M5EoD52DXd1OPlVH/3NioqxivlYgB13XTaVTyYG7ms5kDubREwXSj+DfrK67tgD4OYD/s+fNbAeA3Q2XNAD4Z8T1PAdgfPWi2Z2uYKX8Xpt+UoMZsx7XDd3MnuZ5nkq1pb5/7E9fvLGntv/y7UNOSxxRtsiwjViu6cpTSDa3f37oF9fcF2W9z887+mUzZpwQYtb1AH4NYFb9uU3dHi73ySU1GoAnNNs+xwiXC1BKOSIy8vT6ppeibm/mwnLxLPMsCM6HptVAZCj8QOgFANB1IGYjVwueUgpwnK9eecq2O6Nsc9qCuK3F7W1GInZEyEXeAjD21rE7SvLF7byF5Sdr8dgyPW4XvZ+Ml0o/smDczo+WYrtE2ZJTJpU+B++e5+fg3Iau5+BFi5iDEZx032sNlmc+riNHDsJTKUl9/8XPH9tjOTjk0pdPK9MTiwwtTw4qhXYv+fk19w+NlINHn/z8y4ZpRsrBppX13c7BmrolGoAnbNs+J54Idz/kjhxsWlkfOQfLBy0U07TOAuR8TdNqJCsHdV2HHYvlzUHHcb667eVTIuVgvP8C27bj22LxRKQc3LF2bElysHzQwpNjsfgyOxYvmoPpdOqRnevGMQfz6IkC6R4AX+nGKjYC+BmAWfa8mZ360+1uuOQWANdEXOf11Ytm/6Qb+/RfZcN3TkxYCXunYRpl+eZRSsFzvUtrr1/1p1Juu/G2Og3AN6wy66Z4daLgaE+e66WVp44YfOkLoQ7cKx8adFms0p4VcZfeAfBbADPqz23aGHHZvZ5cUnMNgFs0y4JRFi4YAssAnH56fVPOq7BzuXNxrxugyXXQtNwHSAGQSOQMhQ7K8xQc59grx2zfGHa70xbEv67F7V8ZiZxZns8rAE67deyO3VEWynbewvJjASzVKxJHaman7zKdKE8lRZNej47e2qWuG0MW9xKVSl8JTfs2RI4AIIDaDMhjomv/APD8hrPf3tGVddN7X3LKpNLl4N3zOufg3Iau5eBFi5iDIZ1434aE7Vk7DRTIQSh48C5dNbm2pDlYd2mjn4OadVNCjxfOQeWlFdQRL/xhcKgcHFS/8jI7FutyDjatrN8Ycdm9auqWXAPgFsuykCjL+7bmsgzA6U0r60PnYK9jFt8gol2n5c1BQaJIDnqepxzHOXb7mjEbw2433n/B1207/qtYPFLOvwLgtB1rx3YrB8sHLTwWwNJEWcWRZpgcVF5SROu1tXF0l3Kw1zGLJZ1KXalp2rclyEEFbBbBY5qm/wPA82//++z3bA6WfLhRACu7uNyr8G+ad5w9b+Y9uYqjwPcANBZfnYKIAqAA4Ie7Gy4paV/ww5mmazMLFUcAICLQdO2P224c88FSbbfxtrreAB4BcLNdbhf9bGq6ZipPhR4JRgRf78JuVUHDtZqlvbbmqaHPrHlq6MWN/6iLNBrVk0tq6uF/2YGXTiNio8RYAFPDznzn4uoHoGs/zFscAYBpFgwFABBNE2j6b8Nud9qCeDWA78OL3BtjGIDZ1yzr1+V7wpy3sLwfgIUAjizUtS6TaGLDvxdNZHV/L9NV2lknljlDDP0o0bVy0bUy0fVhomvfALAAItuHPNNn95Dn+jUNea7fo0Oe6zexK9ui96zu5+Dd8+7JVRwFQuYgILp0jJ/3w91zG5iDIWnQZhYqjgBAINCg/XHMvdtKloN1lzbuy0EtRA6KZioVPgch0rUcBK7VNO21oWPWPDN0zJqL60Y3RsrBmrole3Mw3cM5WD148QOapv8wb3EEwAyRg5qmia5poXMw3n9BNYDve6prOdhv+LIu52D5oIV7c7BQ17pMIlqXc7Bs4N91x0mvMy1rhm4YR2m6Xq7pepmu68M0Tf8GgAUisr3P0Gd29xv2XFO/Yc892m/Yc++pHOyJM0hHwT/Ih707+FoA/wNgjj1vZqjT/7sbLjkZwAoAnUpkEQXTVBAN6Pjsex7gudil6WhIPDb3xZD7Fd4lFxsAhiuo0YD6FCCj4R9QXAW1DVDTtdkPPdjV1b/2sZOqRJOzDNPYrZv6DgB7ADQDaBnwxxUl7R/cOK3OLKsqe8sui5WHXKQNwPkDpi9/qlvbva3uTAAPABgIAJUDqooevABAKdUmIgNrL1z1dqH5ls7q29+utLfY5Vb4RgENMMtMaOb+i3hpb5ty1cRhp68r2v/8ySU1NoDl8E/rAwD0eBx6rOjZ70x7AAw/vb6p4Kgzdy2q+pAyjQUo9r7FYhBDL7rRoGtD9RUjNrUUm3fagvjPAFwHEZjVFZDO14UW8+tbx+74WtSFzltYXgVgMYARAKCXxaHZYQ89eBXA8EdHbw3dKgkAdf+oeFpM4/S8M9gWYJnY7/egFOC4rwE4dcPY7W9E2R699ySnTOp6Dt49L1wOzm3In4O6wCwzIYa29zjquR68lLtLM/WGxITHSp+Db+zLwaSuPiVKRgtQJQpuUlfb0pqa3quq6zl40ms3V4nEzjKMfrt1vWa/HFwx4JyS5mDd/Y1mmVP2VkzZkXJw+eQB3crBuksb98vBKqMyUg6uuq+2YA72PW5pf9u2t1h28cIrk2mYyP7S7XneNqXUxHXLhhXNwZq6JZ1yMB6Pw45F6m2wB8DwppX1BXOw6uhFHzIMc0Gx9y0Wi0E3itcjHTm46YURRXMw3n/BzwBcJyKoqKyGSORzEL/esXZs5BwsH7RwvxyMJ8pgWaG/Y7wKYPjWxtGRcrCi9h9PG4aZNwcty4ZpWvt9fpVScF3nNQCnbl879pDPwZ4a5vsKAMX6bb4IPxAesufNjHxw291wybcB/CLzOU1TMC1V7PvhMgB/APCn2Py5u6JuF5dcrAEYCn90otHB4/0ACp5P9eA+os1+KFJfz42fOLlBM7U/6Ybep8Afe3Pw2KNZujU9uboAACAASURBVNItw9YMzVBKvaY8NS+9J3nzgD+uCP1LbpxWd1l5r4pZVjz0l8yOfTh3wPTlz0VZCAAab6vTAUwHcAM6zmiKoGpAVZTV/Lz2wlXfLTTD0ll9rzcT5o/i1eEOyKIJzEoz7xd95SrXTbpDh49f/+9C63lySc1NAL61/8oFZmUFwp7tCPzl9PqmTxSa4c7FvZpg6McWXVM8BtGLF0iBKVeM2HRPoRmmLYjXwu+rHgMALWbBKAt3nVWWK24du2Nm2JnPW1geA/A4gLM6ntNsC3q0bX/i0dFb/xJ25rr58XFI2M/k/XuM2X5xlI/j/gfJ1MAN49+MFEb03pOcMilaDt49L3oOzm3onIOmBrPCKvbFel8ONsyPnoNvdC0H37bcR3pVRcvBkzfe0aBpvf+k6737FPjCuTcHdc1Whm7bmmb4Oai8ecn0OzevGBD+Bp119zdeVuGUz7JU9BxcPnlA5Bysu7SxUw4KgCozWg6uuq+2YA72PW7p9aZp/igWD3eMFEjBMy1KKdd13aHrlw8vmIM1dUs65aBfRFR2KryK+EvTyvqCOdjrmMVNum4UzcFYPA49Qg5uemFEwRyM91+wXw5adgzxeKRuhB2u2LF2bOgcLB+0sFMOWpaNeCLStj+xtXF06ByM95s/zo4l8uagbcdgmvn/dlzX+U8qlRz45obxh3QO9lSBJACuAvBj+GdSMq0G8BMAj3SlMOqwu+ESHcAiAGf6zyjYsaLFUaY0gAUA7gMwPzZ/bueuDJdcLACOwb4AOAXAKAAVXdlnD+6N2uyHvhdm3n9/4n1XWnHrjjCtRxDAqojBiHf+YuamnO2e453V566nXy22msZpdRqAl+IV8RPiFZH6zwJ+H+WGAdOXrw67QONtdf0B/BFAQ/a08j7l0K3QZ5vbANTVXrhqe66JS2f1NQFs1AxtQFmfwn2OO5gVnc8cZfPS3sbjT33lmHzTn1xScxaAJ5HjBpFimjDLIx88P356fdNfc02YubB8qGdb66GHCBvbgoTonxx4GcBJV4zYlPdAMW1B/PcAJmc+Z1QkoBUqFHJzAUy4deyORcVmPG9huQFgLoCPZU8zqiujnMF69tHRW8eFnbnu8cQqidkjc07UNKAsjqIHobRz54ax278adpv03pScMilcDnahMOqwe27D/jkogF0di/L53z8HG+Z3zsE3SpuDuy33xuqqcDn4vn/ffqVlDb9DJMwXWUHMqoJpdM4ux01u9zznrKf7jCyag3X3N/o56MZPSHiRG3reAdCwfPKA0DlYd2lj/hw0ymGEeu0AghxcdV9tzhzse9xSPwc1bUCirCxcDuY4c5TN87yNrzx3fN4crKlbkjcHTdNEWXnYk3R7fbxpZX3OHCwftHCoZdnrNa34e2bZNsJcpxN4GcBJm14YkTcH4/0XdMrBRKICphWpyAaCHNyxdmzRHCwftDBvDlZWRTqD9ezWxtGhczAx4PFVth3LmYOapiEeL/75cpz0ndvXjj2kc7BHCqQOyUlT+wI4F0AdgHcB/APAGnvezJJsdHfDJUcDeAlAhW74Xeu66G0AszUDj5k2NBHJbBULOxJJUQpe2tGcSvPBvxa8y+2mC0f01U19q6ZroSoEqyoGI5b/D91NubuV59X0vmNJwSBunFY3CcAjhmWgsneklqsObwE4e8D05UVHm3np1mMvhYa7RSRnyNrlNmJVkcLpztoLV+X8Y1s6q+8nAfwZAOxKG3Z5kQOWBtjV4U5PK1eNOW7M2hXZzz+5pKYKfuvwUfmWNcrKohYRWwGccHp907vZE2YuLL/Ds60rQxVIhgGJ1sWv4YoRm57MNWHagvhJAP6FHOFnVJVDK9CVTwHwALgQKAAaFDTgXR045daxO9bnW+68heUCpR6AyKdyTdfiNvR4pK4bZzw6euszxWaqe8Q6FabxrOQbHMi2/EcxnmqHJtUbRm6OdFM3em9KTpmUOwfvnleaHJzbsC8HYwbMssgNEx38HKzSHzNr7R7LwTbdS2+scCqHm4VzcMSme/vqeu+tmlYWKgdjVi+YRv7McN3Ubk+5NUt6jyiYg3X3N/o56BmocivDbDrbWwDOXj55QNEcPPayly5FGncL8uSgZiOuRzqW3bnqvtqcOdj3uKX7ctC2YRUf7BN2yG5aSqkxa589rlMO1tQtKZqDZWVlUYuIrQBOaFpZ3ykHywctvMOy7CvDFEiGYUTt4tew6YUROXMw3n9B3hwsr6iCrhf/CHcsGBwU3gVwyo61Y/PmYPmghaKUekDy5KAdiyMWi/Qd6oytjaOL5qDV55FTDcN81s6zbsuyQ3XvU8prF9GqN7808pDNwZ4YpGEve97Mnfa8mffb82b+2J4383/teTNfLlVxBADVi2ZvAjANADTp2mpFAMNCLzuBqVZM/iYif4F/qnsCShgKACDQTFFybbH5lKd+GbY40iy9YHEEALqlV8MfgaaY7wCAk3KQbC2YXfkcAeCJbTeOGVZophdvOeZh0eWBfMURACRbkvCiXfB/+eY/j8p3Wn1vYCTfTSLVkiq4Ii1MkdFB8KM8U2agQCgAgNPWGvVC1YEAfpr95MyF5TUAvhB6gATHibrdqwtM+wVyhAIAOHtaoPLskwcgCUFSNDgicEWQFg1J0SqTkOVXLes3MN8GNU/Ny1ccAYDXnor6+r5VbIa6RywBcCMKrTdsVxFNYshqaaTDl333vJ323fPut++e92P77nn/a9897+VSFUcAUH3Ron05qEe+9g8AIKbA6Gf2sofFp1pHxXo0B+OuZsadEDmoWn8ZtjjSNbtgcQQAum5Fy0HNQbt06bvbEQCeGHPvtoI5eMwXXnxY0vJAvuIIAJJeEhEv+L981GWbi+dgMolUqkgORrt+pss52NrWVpIcLB+0sAbAF8J+b3AOUA62NO8p+F1GAGgikOCh+Y9KAZb3G74sbw4q5c3LVxwBQCrZXvIctPo8IgBuVMi/3ggDRBzyOdijBdIB8gcAf8790SxM0wErARiWdOWi8i5RUNPSl36sYHktmpwfdn26Ha4bmm7ql+y+tiHvzI3T6s4AsPeCu5Z3WuCk0mF3I1NfAP/cduOYulwTX7z5mLmaoX286FoUkNwTKZwM+F1Z9rN0Vt/hAM7JfK79nSRadrXCSZbgliCCCa+uOmFw5lNPLqm5GMBn/ckFeApuW+RC9KvPNNaNzXpuCoC4OBG686Yj/W4vuOuFo4/OfnLagvgHAHwo71KegrOncxGoAKQg8PKcgndFqlzIklzTJj6e+K6nyYcL7q1SUNE+uxd8ZOXA44vM80EA58BxC4ROpDCaPmR1beS+F0R5+DnYhRzTynVYx8Vh9LEgRboVl4oratradJEclHjoHDRCnmXRdeuSht3r8uZg3f2N++eg3oK0dCkn+gL455h7t+XMwWO+9OJcrT1EDsIvkiLImYN9j1vaKQeT7e1obWmB45Tk1lgTThj36uDMJ2rqluzNwUKU56G9LfIo01+tG92YMwddN/zrSUfMwaNHvNApB+P9FxTMQaU8tLbsyZkbAuTtiiYiVQLkzMHEgMe/K6IVzEGlFNJFiuAsFwysXxkqB90CxWXETmnTa09afcjm4Hu+QKpeNFsBmKo87ImynGiAGcv/4ewJQdXdD8CX8s2z7rxhxyil+oZdp2aErNZ1LQHgkwVm+c5+/1LAnl174KS7dPAcAGDRthvH7Ndy9K+bBh8jhlwYdiWp5iQ8N1Lr2ac3/3nUSVnPXZlrRjfponVXG5rfaEGqdf8hRz0n/DbF7xy/tzX0ySU1tRrk9xY02NBhQYcFDSa0nMWSl0zCi5ZQAuA3zzTWmQAwc2G5Df86B4hSkLCFQTpS65mGrPdx2oK4BuCmYgsqx4XbvH/4OUDe4qiDJ3LMV5f136+ryEcXxKs9kU7hn4vbFulLhaDAPWX2nj3qkMzzHkcpUP1W1c9FWYAon+qLFvk56HjRctAWmEfbB6yBEPBz0JXCOThs3ZePUSodPgfDdbiAJnq0HBRgj74HDrqeg2Pu3bZfDg6e8q9jpDV8Dia9VNSzSJ8eddnmcDnoumhrbUVLczPSqf3PvEfZZnYO1tQtqRWR32u6Bt3QoRs6NF3Le3YhmUzC6UIO1o1uNAGgfNDCvTmolEI6Ha4wcKINN94pB+P9F4TKQdd10Nba+TZVRW+3IXJM/+HL9svBeP8F1RIyB5PJSIVnwRzsOHvU8e90KnfGRilQcYjn4Hu+QAKA6kWzdykl10apXHXzwBZHQFAg+Zv8boGzSBdFKQqUG+0U6u5rGzq96MZpdfUAPtJp3Uphz653u1okHaWglm+98ZQBHU+IyC+jvuft70Y6wyLIOPW+dFbfcgCfL7SAl/bQvrsdzf9pQao1vQrAG1D+8xF86dVVJ/R5ckmNZkCeNqElJKMc8u+VIfmLpFTq2/AvzAzrJOwLo0vhF90+x/WLJC/H50IpQKlXAMyAUl+BUk9E2OZX7nrh6Myrny8BkHuwgixeKg23Lbl3SE835OleD/hm5r8VcLMSCfdNyPPgRTuL9PmPrBx4ZJ5pH4d/HYYvlYZK5ghgx4nafDZ9yOraLt/3gihT9UWLdilPXRulW43eO/9InT2l2VBw/W8e3y1wFukiz+t0iUleSkVqnPhWw+51nV503f2NuXNQFN41ulwkHaWUWn7K77fuy0FXfikRu7y0u13Pwb7HLS2eg56H9vb2jkLJz8Hg+Qi+dMK4V/vU1C3RRJOnNV1LZOa9iN9TR9O1nF0rUiXMQdd1kE6noHIUeUopqCAHlVJfURFz8OgRL3QpB9PpFJLJtr05GOET8M2sf98sIXPQ87zQxWLg8wPrV4bKwXQ6hVSOIqkLXRen1560+pDMwcOiQAKAin/M+Y3nYl7Y+UNcM1dSCgqe7P3bHwTgi3lmvcRJOlC5vuDm4KUjBcMo7B31bz/fzreA8vwiyY3WOg4AEMiREGzY+otTaoOnTou6jnRrCp7jRvmmO2nzn0d1jMbyWYQcaUl5Cu27278Iv0XjC27SfS3CNuMArjIgN+nQ8va3lqBIyvK7s8Zs/xWAX0XYHpRSP33qxWOPR1aLjwAQx4W0JyHtKUgy5f9sa4e0JV/X2pInXXnGm1ddecabvxVNC9UKFegF4NMAMG1B3EbmGZUQ3Nb2yQD+AoTviKaAwVOXDzgWAD66ID5K+TfQDM1rT0ZJdxvBdRyZ6h6xdPjDMO8vmYZqboVKpqFczw8EBSBaUXYsgveUqBQqLvjHb7yUGz4Hqw5sEHpQeDMWMgedjVAq3N+T60X6Ehg9B4MiyY30/d0nIkdCYcMp/7e1yzmYUmm4youUg6Mu2xw9B5VCe3tGDnrRc1A0uUnTCuSgSK4zSb/bvmZMl3Lw2JEvdspBwC+Sksl2pFLtSKWSSKXa0d7ehmSy7fVksu2kNzeccdWbG874rdbFHIz3XxA5B9vbWicjyMEIBg84YfmxwTZHIWIOJtvbu52DVp9HcuZgOpVEa2sz0qkkPK+j+3n4M3iBQzYHD5sCCQB0Ax91HMxSha4gOwj8LgUO1P4DSUzPPou07rxhQwCMVJ5CsiVcFyGnPXK1vl9rROO0uqPgt77kpTyFd9/sYpGkJA6Fp1746dFHKaUGFF+ikz9A5CsRl7mx8YEhgjzdCvJ4etznd75Yf25Te/25TfeKLkOUUqHDQSk1TYfW6cCSreNsUuA1AB13Nb8BwKaw2xMRzYNaCr8VLcd2APE8iOv5P/2Tl7+eOqE5sxn0aQAvhN0mgKvveuHojvd1sKFpsHT/UaQ17EkAj8E/lf5C6JYzv/XxKx/1u/PdKRGPV8pxr4B/I82wrvzIyoHZY69/FsDwnHN7CkimgJY2YE8rVEsb1J6WdRGbs78/ZHVt6HF8iYrRbeOjTrszS3khguEAnjxyReH1cgftxv45mH0Wadi6L/s5qNqRTD4fat2OE/mC9P1ysO7+xuI5KArvGu92rUjSJA7gqaO/+cJRSutaDgoQOQeHNDRGzsGd68e92LSyvr1pZf29ItFzUJMQORgMSBDoVg4qhbw5CPhnUTzPDc6GKQD4dfOWCd3KwaNHvLA3BzVNg6bpCDFy3n45GHZjwfv0laA7352ImIOu60TOwYH1K0PnoPI8pFJJtLW2oLVlD9paW9DSsmedipiDtSetPuRy8LAqkGLz56ryv8+drDz0dV3coRTy3/Ogh0soBQUPHhxx4Eg6uzgC/Naz7JaAizv+J92eRts7bcXPJCkFpy1Sq/VHdl/bkPlBvwb+hZ2FN+N52LPrXSildkbZGACIJ4Mr9MrbInYHbAUwuf5rTZdpuvYHRDuAnaWLfg0KHDRzuCPzH8PPWK9E5IdhFxaRXnEj3NjZQSx4AC47Z/yuPQBwen1TC4Arwm4PAExNO6Iq/HDWe5A1glNwb6PbI2zypGTamWjp2o8rbQvltomE5T8qYxYSZt6P0bdnTGxTt47d0QLgAs3/3Yb1JRGZCmCMwL/OKhSlrv/7hOZ7APwywraOQEaLdt0jlo38ozN15npAe+pSiMyIsM2h8LtpEJVErGG+Kp/498nK9fq6KfcO5an8ORjtmByZIwrNhoftcQevVqbRZkTMwfSraGv7f1CqcIOhgoe0E+Wwgo807F4XOQe94EySQhdyUJfBlf0rblN29BxserD+Mk26kINW93Jw/bLhkXMwFs93H4TsmQEEObirafweAGhaWR85BzVdOyLCcNadcjC4t1GkHHSc9ERN039sWTZM04ZpWjBNC5YVg2HkHVX4223bJ6oda8e2ALgAXcxBAKEbA5RS1zdvmdCtHLT6PBIpBz3PRSrZfqkcBjl4WBVIHRKPz32z7PG50+IL5h4H4Dj4o7rsd6fnaNeRFfUOgH8qqNsdcZJpScGRNFzNgRKvUCtd9lmkizMnOikHzbua0fp2K9qb25FsSSLVmkKqLQU37b4I/wZ/Tzmt6TURW8+uAYDGaXU1iNAq5bneMyJyBoAdUTYGAJZmTYQXbgAE5akdAEbXf61pFgDUXrjKgz/kbGgxPRbqRoSB/wB4OMfzsxGhNSteZJjZDsHH4efnjN+13z0HTq9vegzAn8JuDwB6l5eFvTnyb6ZOaH4nx/MPAtgVdnueUg8kLLNcy7puQURgGTrK7U7h8OCMiW0rO/5x69gdmxGtRbNPzDL3XgRrul7R63w0Ty2DSEd3gIfht1CGdc1HVg7s+KJ0OYBOoxYVMLvpgtTz8C/ajTJKBM8iUcklznv8zbLzH58W/+CC/Dn4dkmD8B0A/3RF3b4l4SRfrUzh1co0Npc72G17UAVyMOss0v456GxBc/PDaG1diPb2VUgmX0IqtRap1Aa47q69OZh2WrqUg3X3N0bLQfGeEXQxB8usibAAzw6Rg5qfg00P1s8CgFX31UbPwcqDkIPR7r3z811N4/fLwaaV9ZFzsKysHCFPh/6mecuEbueg8tQDpmmVZ9+IVUSg6wZMs1ON+GDb9ol7c3DH2rGRc9A0rb05uK87W4F9VN4y6UYODqxf2eUcTL1xQZdy8FA7i3RYFkiZYvPnvhqbP/eH8G/SNx7AbwC846QR+jqfLC3wh178Ffx+k8cBOAKz53xQZs+9Wol3u9+/KdS6ahGMA7/uvGHHAzg510yu4yLdlkaqNYVkSxLJ5iRad7d+YsAfV3x4wB9XnNV/1rITg/tWhHXZ7msb+sHva9r5tuP5/WLA9OWvAvgAgDcjLAcNmmXrNrykV3BgCS/twW13z6//WtParEmPI8+Ql7kYmtErroc+UP9m3Od3duo0O3TUmjSAW8KuRNd02HrxxjPP/5KSr0Xm6wB2h92mpgkqE0Vfpwvg17kmXDFiUxv8v4lQYqZRqReoyDq63QXSADoF9Iyx22dBqbw3wMsWj1l7T/drAAxP5S6SlILueW8bntfw9wnNCgAeHb3VBXBr2G0BGKyU+mTdI1YZgO9HWM4FcD0AbBi5eRvC3W+lw3AUHlmLqFtiDfNfjTXM75yDuxyoVKQL8TvkzsE+cz6o95579R7Lu93REDkHh637cp4c9OC6byCdfgWp1ItIJlcjmVyG1tbHP7FiwDkfXjHgnLOW9R8fOQcbdq/rUg4unzygazloaJZdbsOr9qAK3NjeS3hwa9zzmx6s714Oxoxe8SPC5+DO9eM65eCapUOj5aCuww5xE1qo0uWgaBri8aK/wrw5uOmFEZFy0DDNykIDTnV0uwvkzMHta8fOUhFy0LJi+3V7U8rLWSQppeB53tue5zU0b5mgAGBr4+gu5aDV55Eu5+Dml0a+53PwsC+QOsTmz1Wx+XOfjs2fezmAflC4ONWORV6BIkn55/WXwT/tPBlAPYAqzJ5zJmbPuQaz5zyI2XNexew5mQnzSwBRxlacnr70YxayWs2KWHX8319pynru5gjLW57yvgGFq3RPh+VasF0btmvD8Ix83Q9fBjAfAAZMX74GwAcV1NuhtyhAwioDFOC2uXCTLpSnOkaUged4cFodeElv7YjvbvpX9uK1F65SAL4b4TWi2qpGiNGCPAD3FJj+O0RoWUqYhcNI+f9dcs74XTmvYjy9vuk/6DxqTUFlMRuGXrDh5c9TJzQXagG8C/77UJSIoMwufNsC29i7L3fMmNj275wziRQdGnXv+kwTRsbNew2lYLsedM+D5imIXxjBcj2YnvrsvIlt2V0Xfo9oZ8lmGrr2A/j3Mgnr900XpDLD7hfwgzGsHwxZXftfczymgyPWMF/FGuY/HWuY7+egoy5ObUou8goUSXlzsM+cM9FnzjXoM+dB9JnzKvp0LwfXpqPn4CvH/7Z7Oeiqb0DDVXpfDdYJJuyTTdgnmTBqdSB3T6m9Obh88gA/B1WEHFRAWU0C0AG3xoVb4UIZQSqIghfz4PR24FV7azf9ekSnHFx1X230HDyqOsxIhSXNwXiscLGilJ+Du5rG58zBppX10XJQAbYdg14kB5u3TChZDlpFikB930hgd7Rtn5gzByVCDpqmud91Tn4h5F9b1VEsdVxvpZT32bbtE7uVg0qpmZqmR87B1BsXdCsHa09afcjk4CGzIwdSbP7c9tj8uXPteXM/kG7HQCelZrqOesV11GbXUSs8V90IYKSIVGD2nFMxe840zJ4zC7PnvIzZcwpeeGY++Ned8C+kC+so+KETpf/lnOwnqm9ZtBTA0rArEOAq24vVWMqCDh1a8J+pTMS8GDTV6aNxU/2Mpr0HjwHTl/9LIOcpqKLDlSgoQAcMzUDM8K+ZUWkFt9WF2+I/vHav49CU6xQ/AKD2wlXPIAinMAzNQE38CFTaFYibMeiS8+D5t3Gf37k53zqGjlrTggj9kw3NgKXnLyAU8Oezx+8qdsHk71yl8u5TppTnQURQXV4wkAq2HF0xYtPriDCyTrECSfNb1t5BrtHf9vkTgNDj+CayLu8SAKanYHkebL8wggb89W8T2xZkL/vo6K2tyOpbX4iuadV9K8u+E7dCj/CVRNbNGTeM3LwZ/peKsOoBfCzC/ETdEmuY3x5rmD/XHjfvA+lNyYHOG+mZbrP7irvH2ew2uyu8FndfDvaZcyr6zJmGPnNmoc+cl9GncA4ONw9ODi6qPj5SDgK4KnaCWWMda0Kv1KDFNWhlGsyBBmIjLGjlnQqLm5o+U783B5dPHvAvETlPqRA5qBTgAYZlIFYZAzRAVSi4fV24A1y4/V14R3iAf3jNm4Or7quNloMxA0ccU4OK3pWIVcShm7lzcOf6cXkzZ83SodFy0DBgmQVz4s+7NowvmoPKC5eDXpCDiUR5odkK5uCmF0ZEykHLKlwgSQ/koG13vuZYKS+zMAKAv7Ztn9gpB7c2jo6Ug5qmVZdVVH7HKPx7zNQpBze/NPI9nYP/lQVSJnve3G3GX+ZeoT80d7j+0Nyj9IfmjtH+PPd7mD3necyeE2n0gwyRWs+UUjcAODHC+jsFQyB065mIFk8Yub9UCwSWZ0H2dRrfDL+P7n4GTF++AjomFx000MDeT1rCzB4cpZO8wRCYjghDbNgS81t7dAtlViJX8RLmgDEDES6oTOS5FklBvatBvlxs+dPrm1TK875YbBCqtOfBCeaxTQOJ3IXL01MnNC8vutMRwk/TNCSsvBeidvjFjIlteVurZo7Z1gLgvrDbjNtWsXOBrdg3ElIudwAIfTMR2zBQlYjhiPI49OKtr3c2XZDKFeQ/ByLdPOX6IatrD+xNaYgA2OPmbTNO+MsV+jEPDdePffgo/ZiHxmiDH/oe+sx5Hn0OTA46CjcYUAc0BzVd4oneuf/kRBdYw0zIvu/BOXNw+eQBK+BhctHrn1zsTa6yIxLFuh+WNAdjvWz/9cQtJKrLYMV7PgfzdXlTSr0rUjwHm1bWK8/zvljsffXPoPjzGIaZr3B5unnLhJLnoGkVLR5+0bZ9Yt4c3LZmTKQcLFaUocQ5aBgGYvEE4olySJ6b/Ga4M/XGBSXJwdqTVh8SOfhfXyD1BPPBv/4H/unaUESkf4VdFXb25cf//ZWNeaY9AmBD2BXF8hRIgF8k6WpvS9Mt9TOacobkwO+seBA25uUYpQ8AoAy1X1cFXdMLDWawCUDBcV1rL1z1InKEVD6aaDDF3wERQdyMwdh31/V1ABYVW8fQUWt2IUL/ZFM3M7exl0CuHzd+Z64LRDv54Mkbn2h13d/nC4e056E568bjlWXxXDc/Dtt3/CkAL4acF2UFuhc4nmoH8L8hVjMz7PY0TUOs8Jmrn/xtYlve7hOPjt66E8CssNvr6NJnGTp6VyRQ1nnwiQ7NAH6Wa8KGkZs3Rtkm/GsvJgHA8PXDjeHrhx81fP3wM4avH37piI2j7zhl6xkrx2wdv+yULWf8beTrY+sjrJfogBtuRstBQ9D/nIrQ13Qvf+X4327MMy1SDiZi/r1bchFDoB+5LwebPlOfMwdXfGngg0hjXr7rmpWj9vuKqJs64lVdz8FV99VGy0FDg1m+LwdjYvgyiQAAIABJREFUFXEYVrQcXLN0aLQcNE0YRo4cFLl+57pxoXJw4wsnP+E6+XPQ87xON7KPx8sOWA4WutZKKa9HcrBIkfSTtu0T8+bg1sbRkXKwo0ufbhhIlFXAzL/tvDm4+aWRG6NsE5k5eNp6Y/hp648aftr6M4aftv7SEWdvvOOUc7euHDNh67JTzt3yt5ENr/doDrJA6jmRWs+qY73Dzjo77zpuWRTpQjxd02EVGFQgKJDeQrEL7XRcjRjSylJQuoLSlN+v2lZ+d4GsY1XCKuv8pO8vI763KUyr2PWI0CJhyP5fbm1j72u+c9znd4Zthbs1yjYTZqfi89+IcCAEgJTnTdudTm9udRw4ngfH8/YWRnscp1Ok65qGqv0HbGgCwt08OeqQ35ahw8rT39tT6vYZE9uKfvZnjtn2MiJccJzdzS7DKwj3ub8l7ChXmZ9OEUFF3Eavss7dG8x41V1DP/CVT05snfaD85u/+vHTd345+4P9MxS4O7xoGjTThGZZ0G0bRjz+wLB1w16H311hk4i2pLLiyAfKy2qutK2yUZaVGGPbZRfEY1UvnbL1jMUjXz/1kGhpI8ojUg5eWN0KI9yJkbw5uKj6+Gg5qAOF2l70I0LmoIerkUJapRWUo6Dc4GdS5UyOsl6JfCOQ/mXTLSNKnoNmYv9ixS7bl4M714/rmRzsfBYpcg56njctnUpvdhwn6Erm7S2MsosjwC8iss5ehc7BqEN+67qR97onpdTtbdsnFv3sb1szJlIO5upmFyh5DmYSEdixOGKJzr2AEon4XQ0f+MAnJ3669Qfnf6r546d/eGekHNQ0DaZpwrIs2LaNeDz+wLBT12XkoCyprKx4oLy87ErbtkZZljXGtu0L4vHYS6ecu3XxyIbXeyQHWSD1EPPBv+5AhAOBqZsIeRZpbpHpsxDhQrxiZ5EAzKif0dRSaB0Dv75iIwT3wIB/H+YY/MIoz/WSmmj5BjMo1q0AAFB74aomRBgdRc/aEUPTIZBWRDi1PXTUmtcRocXO1q3sa56mjxu/M8qQl5g0cnOrAqa1ex7edRy8GxRGKS//daSJmAV936nwX02d0BzlZm0PwP8iEIqd475HKdd9+pfn7sl7R/ocQrcwW6YB08j5obrybxPbil4D8Ojora+6XrhRg9wcLcG2aaC6o0gSwVGjPpI+seEz36xI2HeVxa0fV5TZD/c9orztQy1fvbZjmQ0jNzcB+GP2usQwYCQSMBIJ6LYN3bKgmSZE18tEpBaAJiKoLO8L0+hcGIoIbKvsLF03F4Z5PUQHw3AzWg72NT2cHe4sUklzsOBZJP9wOqPpM/UFc3DF1IEbAdwDF34JkQ5+5vkuqhka4tU58zdUDq66rzZaDlr7Hzt104BItBxcs3RopBy0LDu7gJi+c924SDm4+aWRrQCmee6+oshJO8GNX/NtNwYtIwebt0zosRzMdd8j13Wf3rP53B7JQcMwMweAyHRl2/aJRXNwa+PoV5XyQuVgcE1Tp+3H4n6RJCIYNXpU+v+zd+bxUVXn//+cc5dZsgcCBFEQIWFRVpVNQcAquGDV4tKqVQpVq21t3b5atVVr+9NqtS7VitJarVaj4oICIogpsogoGCWAbBElJkjIMuu995zz+2MmYTKZ5d7JBEHO+/XipcycuecmwH3nOec5zzP11Ck35OV5H8/J8dyVl5fzao8excHpF/vbPLiralRCD6qqCq/XC6/XC5fLBV3XoWkalHgP5udCS/DzBiEELpc+SVGULvGgDJC6lvvgIN+zyFMChaQ8GL6yfPGmlIcWCx9Y5uggXiQdLHH6kIjUUra7mnIPHKwUejRvfIW5ejg7XHu33U7NPEFhGkLIa+N/Wm+7jGgU2xVnALQVpACwDsnz5VNy9qhdbwBYYHc8IaT1LNI+AP9yMtfVI2oCcCBcLUZ8QgiYjD/PuZjoZE5EfhjYY3dwgl2k518/I/ie3c9zwX9jZ/XMsBIvkro1FapCccz4mejeu59G4xpCqQp15Xj0+88MXhu7kvcnxFRHopoG1e1Om9Pt0nOhqqlz3HXNc+qoL8eMTPPlSCTfJY48eHFRC4qVIFIcsVm5qfyplB5cVljuzIMakKzPtbC6zoPeIk98hbmu8yBL4EGFvFa/ZXzXetDVeQ/uqhrl2IPRVDTHHqxZP8KRB5U4D3LOnheCd6kHE+wiPR+sPcO+B7mw5UEriQfVaEW98RPGo0+f3h09qCqunBzP/Wf+JJjUg5qmwe1uF8gmxOXSE6ZqxqLr2qmjpnyZdQ/KAKkLcbqLpFIVJbm9UOguhktJuI1q9+Hi6CCeJ8kuEid8xbGPbrPV5+GI69bWwskBR0LhaZ+G9tqI39XYXuU58kfrdjOwJXbGsjh/CCFACHFSYQkAMHD0xs/g4CGtKW2B503jT67PqNlIlF/BwZ+nHjH9E1ed5ku54pmEv9vdfufR1SUhxF4AP7j31Oaf3B/tP2SXJ07cHYaDKjdulx6bX94MhyXR3xlb97bB2OJUYwzLgplidbJn2TgUFCevfEoIgcel/eZc67pJALB11K4taF11JQQ0/cFeAIDblbIiU9tciqLb7nQvkRxonO4iFasEl5fUYXLhDhzpakSCQKlLPOj1JDnn0iJWbPvJsbY8uPaqI5x5UKHwFrXLpnit5oERtj247t9H7mYhmx4MZ8eDG1cOdOZBbb8H6zePP2AejO7sPOH76rQu9mBkXKsHm7889Set/YfssnvjiY48qOuuTnmwbtPYt1kaD7amNCajrLwM3bsXJ32fEAKPx/Wbc6+wJgHArqpRbR6MBLA2PZg8tb7dXIqiZN2DMkDqehytnrkVDxSqINeVh3xXYexbAsDLdq5R+MAyRwfxdNUFGlcCW0AwOOtJAUS+VvulmzVP7C6SrbSCOC7jgqfMhxZCwBDtd/QZZ3VjLq39IMlH0nGv3YFKJDdj0fiT69MegE3F2aN27UBkZdIWIvJkfzSTua4eUVNjMJa4d1EchsUB4ENCyMh7pjS9m8l8UZ6EzYpMlJDWABAAbn/9jGCt08lcqnpG2LJejq8SKIRA0DThN1IX7covHZh2DkIIKCGvzRS/bY2k7gEgqKYlOkCc4PMUipK2UmArTrqcSyTfBY48ONztQY5iYnhuHcbnfwm6f+HZtgeXFZY78qBLBxQa90wwBYPoWg96Cr0gSic9aKbxIBcIN7bPvmImq6v9fEyXezB60H9R/ebxnfLgrqpRB8yDNetH1DCbHuTMAqIebKqZckA8SAiJTe27PVh7hmMPqqp6hmVZL8cHgkIImKYJ00ydrXfEEaW27pNS8trMOaKdBzXbHiTpelvFknUPygCpi9FeeK0WwD/sjqdUaQtWNEVDjp7X+taK8sWbvnYw9YNwUAY0fheJg19V/vdN3ziYD0dct3YvHHTcJoTCEzmL1ATA9vZwK0fP3LDHFMYFIslSjxACQR5AbBlyLgS44Jc4nauVgaM3rmCcfWVnLOMMAG7OdK44/sI4tyVdIUTVVaf5dmc6kWmxK9KVGLcYQ9AwngQw8Y+TG231qkjGEyfu3i6ESLmaFUv0HNJ6OOuz0saC47/mS8bWzQwYxiRf2PgiYBjwhcNoCoYQSnDotz0ErvQd2wEAlJJCAC/OFL9Vt47aVQ2gwkapVACAmqKXVsc7Ik4ackokB5zBmjMP5lMF3aIVtIq1EI7LqWt9a8Wm8qe6zIPxu0jcL67aNGGQIw+uveoIRx6klLRWtMvIgxsqjt5j+MwLRJKHtuACgfogBBMxr3FwlrkHN64cuIKx78aD3IEHfV+dlrEHGbOuSLeLxBiDEfVg487JnfLg7o0nOvJg9BxSxh78+rPjed2msTMNw5hkGOEvDMNAOBxGKBSEZaWv7O/1Jq3C2A5KacSDc4S6q2pUNYCKdGl1raiJzxwnhBBHjaltIQOkA8O9Qgj7W8MxZ4LcqhskshORtGpPIgofWLYZkXKnttBifiATEA+UPV5tOwc3jofg4HBstIremyN+V5P2cGEiBlzw+fywCI02hbmeC85FJACCwQ34uQ9WTMEdLjgzmfGLkT/5sjOrPDC5ZatCEhPss/En19suGZqKs0ftChumlXYbXQgBw2I/78xcN4795v2gYSZNMWCcwxc27rp7cuOVf5zc6OjAbTIIIY4qGyFSmMFJb4UOLJ/wbaXJ2JCwxW4wGQ/a+ilKz0OSSr7JOAX7y5+mahjYjnRnj9pBYKe/h0TyXePIg71iDr8f6W6Gi1iAQw8uKyx35MFIe7e2lKkHqkeXHxAPunJ0AHiz5oERGXnw8zcHzA/tC482/eZ6bkU9yDiMFgO+r/2wAjEeZJwZIfMXX64b2SkPWpZpz4OMfVa/eXxWPLiralTYskxbHmTM6pQHv6ke+75pGkk9yDmHYYTvatw5+crGnZO/Mw8Ga8/olAe//WJCJWNsCGPWDZwzW0GGS9fBnYnwFGTkQdvN2gGQrHtQBkgHAO2F12oFxH/sjo9vvKpTXQB4JYOpbTfMU6gCGgnE1hKQWzOYCwBwxHVrm5GkHn6yeZFZWkEbAy/Y+En/mZ+O9PEWzcdb+vt4yzQ/891uMGO5yaxtJjM/NSxjXsgMdx/1k122q8Uk47gx2x40mPFlqjGRYMw8u7NzxXLBuLq5/lA4aQd1IQQCYWPepRP3runsXDeMqb2mJRS+xLCsutaFSca5CJvWF75Q+IRbxtdnO9/3Lca5rYaUnIslr58RXJWNST+Y2GB9MLHhAQDHCSEq0423tLxGluCwcxpumCl+O3PrqF1VQoiNdj6gONhB0lS37WeLRPJdMVh7rTYs7HvQivvBtIfu63oPKkB0cXstIZl7cO1VRzjzoNZ5D258a+Ann77Sf2TLlz6t5Utf/5YvfdN8tf7bDb+x3Aqb28yw+akRNOaFfaHuuz4e1WkPblt33IOGkcaDnDPTzK4H6zaPmxsOh1J60DDC8/Zum9hpD9ZuHHNNOBS6xLKsutZAiXMuLMv8IhwOnVC/eXzWPchtelAIviRYe0ZWPNiwbaLVsG2ibQ9qmtbImJPCgACAG2bOETN3VY1y4EH7O0iapmbdgySTeugS5xgXndMbwFfERuKlz2gCi0kpDhj+LUe99XG50zkbr59COGfbKVX62RnfENjjExAjjnn8s21O54rl64dO8HDB6ymhaU+ZW9wS+4INuSN+V2O7Q/fBwKerj+6hUvUTTdF6x7/HODPDzLhw+Ngd87ti7hdX9nhQ19Rr1Zhan6bFwoZl3XXR+Po/ZXu+Oyu7efI9rm5uTfs62i+pS7issts/vG5XylU/izHuC4SO/u/UpnZinlD3p+6KQh9QKDkDBKoQCDDGnwbwx/+V3GJrVXZCZTExLHabqtA/0Oi2bSymxRrVQTOednm813cv7NgLIg1+ACds+Pz1vlTTFqZ7DBTm905WyrUdQghGCMldUbLY9sq8RPJdUWWc05sAXyk2PPiWrwnfsP0e3BzotuXNo15z7MEpjZsJ49iuUPSzM35PA/EJQUZ8dszATnnwhCe+9nDG66liw4OGJRpq9uXWPDDikPLg0SM/7aGq6iealsCDjJmGEb5wxyfDu8SDPcpWPqiq2rVKzIOSMStsWdZd9VvGZ92D3Y6p9Ljcnm6apn0d7ZfUJXQ7pvIfLpc7pQcZYzwUChzdVDO1vQfPrOuuKMoDikLPAIgqhAgwxiIefLPElgeLj6kkzLJuo4ryB5LAg4xZjYPKBz3t9Xqu7969MNElUuEHcMLHH3/eV7PjwcJ8W0FSmwcXlGTVgzJAOoAELpheqSmuk1ONsbgJv9E+xTZg+h8/asHHv8hkzvrrTvqtruhp86G5YNgX3PvjYx7/zHaPg1TsuH/YQ7rq+nW6cYYV/uLoGz4ty8acB5qV/+tBc7Wc2yhVLqIgpQKimQu+EiBXHzdmm9PSqY54aVVPyoU4nXNeRin9rNEXWHaVwwpyBxvnL87RCnJzduiaekSi94UQCISMq5+dtLddGsJJ9X+e4nIp7yjxlUYAMMYDAjhrWeHNtnP7hy3O6atQeq+q0FMJoAqgxWRsnkLone5hF1QAOK8o3wOPy3YRhVY2Azhxw8Y37lM07cpkgwihKC7sY/eaVStKFg9zeiMSyXfFwsD0yn5aag/WWybe9Lf34BeB4sdfP+r1jDx4Uv3m3+p6+nNBjAN799Eff3bMwKx4cNgDOx5y5ehpPRj2G198ev3Rh6QHe5SvpDk5ubcplF5EKC0VQjRzxlcSgqu3rTuuSz3Ys3wVFTEeDAR8y5xWkDvYyDlisZaTk7tDVbWkHjSM0NV7t01q78Gz6qe4XK53lGhaTiyMsYAQOGvZq4W2PZhzxOK+lNJ7qaKcCkCFQAvjbB4l5M7jjhsW8WBRPjye9FXm4tgM4MRPPtl4n5bSgwTFxbYDsKoVC0qy7kEZIB1Amn/0A7euuL5RqJqwI6wQHH6juV1Zai44D5qBPn3f+sRxlRIAaLx+imJxs1GlWspVrKAZWFP68OqxmcyRiC33DfHoiv6Npmj5ycZEqoYFxgy8aaM8QyEBAFz6frFOCFnocelTYleXLIu1BMPG1f+ZvK/dNvpJ9X8e6HIp1YmCo1aiz7i/EUJueyfvRl9n7m9C/exNAMoJAUoKcxwdIo3yKoAffbrxjVuJotxOKG1nFyEE1zXPt/l5PZLXEW/PMytKFl/u9CYkku+KfzX/wH2M7vqmu5LYg2HBscjfjG9jUnjCXOHbg0V93uo7PyMPTmncrJgWGjUVKT0YCGLN6tLyrHlwyD1bPHqO/o3mTuFBLhBoDI7ZeOtA6UEJAKC4//s6IWShrrvaeZAxq8Uwwlfv2zG5vQfPqh/ocrmqEwVHrbTz4Et5nfPgmfVRDxKUlBQ6PCsEIOrBTz7ZeKuiKLfTRB7UtW/z8/Pse3BByeVObyId8gzSAST/5SUhkxtDTRZeEx+YWtyMpNbF9ewxWHhepsERABQ+sIyZzDiDi+Qn6ixuNpjM+EGmcySi7KaNQYMZ4xlnCfNpueAIWcG7ZXB0eDCm9jll4t4XLjyl4YVnJu194S8T9z5/aqJxz05qMP49ce9UfzCc1xII/jwQCt/c5AtMUlWlID44AgBKyV9TBUdAZCWKEPJrAFWntfwl47/nE+pnuwAMAAAhgIbmINJV+0vAeQBu2jx06z3csnKYaZ7MDOMX3LJmAjiKEOLKz+th+8wEgE+c3oBE8l1yef6S0C7TGLrTDK9hcf9+6iwTr/ua2gVHAFBn5MzLNDgCgGWF5cwwcQbnySvamRYaDJNk1YMbf1cWNALGeGYm8SDnCDaH7pbB0eHBmNNrlYkz9l54yg8bnpl0zt6/TJyxN6EHG7ZPMvZumzg1HA7mBYOBn4fDoZsDAd8kRVEL4oMjAKCU/jVVcATEefCClsw9eGZ9jAcFGhqanRZsAKIe3PrR0Hssy8oxTfNkwzB+YcV6MD/vO/eg3EH6jmj+0Q+GAGIWF/wci1kDQDrWog+z0BN93vzo6mzM9/UvTzxJV/QXNEVvy90RgguDGauYYKf2fnhNl5QK/uK+IfmUKs+pVD2VEuoSQnCLW9WMWzcNvGnjoq6YU3JwMXHvCxe7dPovVaFtlQcivRZ4jcnEWZXdLv4s02tPabw3qCo0YVflWDQVaF2I4wLvCo6fLMy5sd7JXBPqZw8DsCH2NbdLRXG+vbLfMXAAp1WQvy5N9OZJe05/AcBFNq81cUXJ4v85vQGJ5GDgX80/GGJBzApxck6dFR4QjItfmCD4Opz/xEt9FmTFgyd+veUkXRcv6BraPMgFhGFgFWM4dU3v8i7x4JA/f5GvKPQ51aWeSpWoB8NWtWWymzbeMlB68DBg4oy9F7tc+r/UmB4O0Z5DNabJzqp8o1vmHjyvMaiqSnoPampb/yHOxbtC8J8sfCHHmQfPrO/oQbcLxcVJN0mTEfHgXJLYg2ftcebBBSVZ96AMkA4C6s4Z39Pi5u0AGUYIunMhVnHBHjlqwcfrsz3XV9ceX6ZSdZyAEEywij6PfCR7qEi6jEl7X7ja7Vb+TpMcxrQsHjZMftT73S529JAGgJE1dxcWFej7VCX5RriqAi4NHZrScS6YxXDuAveNb9qdb0L97IsBPB//en6OC7lex3nY3wIYXUH+2qEK1El7Tt8MwO55hPwVJYtbnE4ukRxsXFM3uedey3u7Aj5MIaJ7mCurQlx95PWjXs+6B4//akuZqopxQkAwRio+6lMmPSjpMiads/dqt9v9d0qTedAKG4Z51Puvd3Puwck1hUVFBftSpXurqgqXq2NzVs45syx27oLn3PY9eGZ9Yg/m5yA31/FiYcSDc0lHD561x5kHF5Rk3YMyQJJIDiP6Vy0hebn6eSA4hwABzsX7n/Y/JSsHkuMZW/ucnpejNalq6h0ew2SblhZcNNjp9UfW3D2lMF9fqqmJAyRVAdyu5FVyhBDCsnD2m+4bk5aMjWVC/ey7AdyW6L1uBV64dGd52EKILQAf8TL9W9sPZyftOT0PgK1GiAC+WFGy+JA82C2RSCTfFf1HV5G83NzzQEjUg/z9Tyv7d40Hp9XqeXk5TaqqpvagYW5a+kqBcw9OrplSWJi/VNMS+0dVFbjdyRfwIh60zn7zWbc9D55Zn9yD3Qrgcjno4YdWD2LEy0/R/R48a48zDy4o6RIPyjNIEslhwvAd759WXOzxeb3ay16PdqnHo12Zk6M/f/xX/9t33Pbl07I9n6bR29MFRwCga8qgaf6XMjkYPTpsJO/FkO45TQghioL/nMfuT1uGN8rQ/f+rANCivyj2NQfhtD8SIaRMCF57rvXzq861ft669DbcwSU+djShRCKRHOYMn7TjtOLiYp/X633Z6/Fc6vF4rszJyXn++FO/2nfcxO1d4EHt9nTBEQDoujZo2kX+zDwYTl7BO13AEvGg8p/zZrEMPNieffua4bQ/UsSDovbcK6yrzr3COqg8KAMkieQwYNj25We73OoiTaUd9sA1TSn0uNW3hu98f0I25xQC5zkY/vfpgYq0vVHiGB0KM7AEB0QVpWNaXSIoJQVCiH+cx+63M/fQSGDkBSEeEOKK/vKCCzcamoNwuiNPqVZAoDwOYNe51s//pCr6KQ4+LgMkiUQiscmwidvPdrndizRVTeBBrdDjdr81/JSdWfagcObBiwPOPRgKJ1ygUxTFpgdpxIOzmE0PRogWfmj7xXmkaINzD9ICQhDx4BXWn1RVOcXBx2WAJJFIMkfTlaeVZAeBACgKpbqmvD2ubqXj5j6JGPXlv/sJIWynCxBCRsL+gcxWRgsBNDYbYKz9AzlJqneyuX8M4PJUYybUz3YDygDAjQS980CIAtNyockXtj9xFBqpXVEM4JbCvF535nm7IeYcbypkgCSRSCQ20XT9aSXZQSAAiqJQXdPeHje9LjsenPLlAfKgQGNjx92bFF9qornTe/DMejeiFewSBV6EEJimhaYm51XEKaVAqwcL8+7My/PabaMhAySJ5EDQ/6UqMuCVz58of2PT7iFvf2ENXrDFX/76pk39X6pK2djwYObYbcun6ZpSkm6cqtJ8zsXvszTt5YbBna6E3Ts9UGHrlOfImrsLEH1Qcy6wrzmMUHi/HDI4WvnYeez+pKkDgDYZcNNUq3GEUARCBCHDqnEyMYmpUk4IoW5XLoryS1GQ2xO65kn1UVniWyKRZJ3+x1eRASd+/kT52E27h0z4who8fou/fOymTf2PP4Q9ePK2abqm2fCgms85z6IHDecevDhgz4OTa2I8yLFvXzNCof2LdBnUGHjsvFkshQcxGUAaDxIEAiGEQoZDD5LY/6dutwtFRfkoKMiFrqeMV7vMgzJAkkii9H+pqlRza1978jxX6m69VFEVRdVVr+7Ry70F3soBr3z+1Hd9j5kghDjf7lhCcNO4upWpHpBpGfXlvymAKxgXMExH53KOBPBbu9PE/kYIoMVvoqklspvEuGM5eABUnMfuz4l/46Q91ymA9lc7qQqAin3NwRcQVwY1PR2vrWtuFOT2QFF+b7j1DunhX64oWbzX2RwSiUSSmv7HV5Vqqva1x+W5Utf0UoUqiqqoXl3Ty71ub+WAEw8HD5Kbxk2v65wHp3wZ8SDjMIyEbbCS0QkPCrS0+NHU1ALGGBjjmXlwFuvowbP2KABsehDYt685Aw92RNc1FBTkoqgoH253h8yKL1csKOkyDzpufyuRHEh63/JhT8uwzqYKdTGTLd3z4IRNXTWXqquLdbdemug9Qgjcue6fDXj58/e2/mhoh0ZtmXLk8o811aVMJ5Qeo7rUOqqQXN2tDqcKKQJQLbh4ecOAAdWdmYNzcYLdsYQQDcC8cXUrx6/qOd7Zacv9TAVwFAD4AiaKCxyVwL5leqBi3kLvzN1pxo1O9KJhcuxrCiPHq0LXVCQp7JOMwQAeBXBF3OvXE0IH2bkAIQRC0O0AzhdCrCeEpD34GhFYcompioa8nG5w6Tlo8X8LHmkmLdPrJJLDhN7Xf9jT4tbZlFAX42zpnoe60IOquljXUnhQd/9swAmfv7d1bRY9eNzHmqoq0wmhx6iqWkcpzdV1fTiltAgQ1UKIlze8f3QnPcide3B63fhVC3t23oO+AIqLC5x89pbpFwfmLXzBm5kHDRP79jUhJ8cLXdeQrMJdElJ4kDjwoMjAg8lRVQV5eTlwuXS0tPhbm9N2qQdlmW/JQUnp/63pCWCh5tZHkmgerRACzLB2m0Hz3Pq/js9q5/H+L1bN8BZ6X0+3OsJM5lM0paDqtP7OSpbF0XfF+lxFUxapLnVC69enuxV4cjSQmLxhwQVMk7/DLf7DDQMGOO7V0b9qSR4haCjp7lXtrvxEuXFVz/FOOlm3MbLm328Tgumtvy/I0+F22colbuVfC70z4x/OcXPcnbaJnEsj6FXicpSHHeXyV5UbngGAk/ZcNxzAWkTK1dlCiNDYD3o8seZH/LoLAPJiuu87FxY4D9mQUE1nAAAgAElEQVS6tmGG0OSrA4DfryhZfJfde5JIJIcepddHPajoI1ufI0IIMG7tNpl5bv2DWfbg8VUzvG4bHmTMpyhKQdX/OunB4etzFUVZpKrqhNY5dV2Dx+Npl3IVaahqvcM5++GG94927sHRVXmEkIaS7t2de3Bhz8w8OLnmbULIfg8W5KUst52Afy18wZvag5Nr0nvQpaFXr5LWMz5OuPzVeUrEg2ftycCDYuwHb/VY86PZ/AIA6T3IBTi399fJMMzWc06/X7GgpMs8KFPsJAcd3a9bUURV5Qvd6xoZGywQQqC6tN6uXNeqXjevmZTVSQl+befBqWhKruDi3M5MdfSqDXmaR6vVPFpbcOTyqvDm6e2CIwAglEB3KacpKl2V4XSThYAaDFlOP3f3uLqVjnsLDNv+76MAtCuV6vObTrf5L58eqEi4MhZDuvcRNgXqvjUgnK8C/f08dv+Qk/Zc5wbwHBxJgYcIcX8IAC/Th14SYK+kHi/Auf3CDrrmhkvzAnIHSSL5XtP9uhVFlChf6KprZNz5DKiK1tululb1uj7LHoRNDypKrhCd9ODIDXmaptVqmtYWHLlcLni93g4FAAgh0HXtNEVROuFBoQZD9haiYrh73PQ65x6cuL2jB31+5x68ONB5D4ZN1NV9m5kHZ7EhJ521JwMPihAhJOLBp+hLQsCGB+3H2rquweXSgC72oAyQJAcdukd/U9XVvGTvU1Whmktd1Peu9Y72rJPR68k1HgDjbX+A4M7j3tme8b8dQsgCRVPatpwpJXB7U2+Bay5l+Mgd2+7OYLrTAcDvN1u3pO3iBvD0uLqVjr5OAdxPSPsDNYwLBIKOA7QHk5X9jhZoGGjnIiGDbyWE3OFwbi+Alwgh/w/Asc4+yl5aUfJQ2zea89BMzs2XE7lJCA7Gg0iVXpcITXMDMkCSSL7X6Ir+pqqk8CBVqEbVRX1vzpIHj3XoQeDO407upAeVWA/StDssmqYNHzm5phMe9Dv6QRytHpxel4EH20d5jHEEAo43vx5MVvY7WqDBngdDxgH2IF5asaAkxoN8Juc8iQeF4x6CAKBpMkCSHKT0unD1sb0uXD22x8yVR2XzukW/WF6o6GrahzRVFbfg/MW+d613nD+VgPOZwdI2cmuFEDIUwIxMJur9zoe9Vbc2MfY13WOvV4GqK78aU1vjtPzo6UBk+7rFl7yZXBJOAvALu4MHb3kuD8DZid7zBy2nAdrJAJIdqh3p4DrrAPwZwBInkwMYmust/LWTDwjBdwP0Z7GvzVefFK8oj8zkwvgB58Y6zk3OuQnGQ2A8AMC5GFRFMwHUOv6gRCLJKr1WP3Nsr9XPju2x8qnsevCXywsVxYYHqeIWgr/Y9+YseZAdIA8O+bC3qsZ5UNfteVBVfzXm9NoMPcjR4nNcgtqZB8dvSe5Bf9BpgPbdezDX69CDYjeA9h78pypeeVqZybn4Aed8HY8AxnhGwREAqKrS5R6UAZLEEb0uWnNHn5+ua3Tne6rc+Z5V3sKcmiMu+2h3rwtXX5KN6yuaMosq9g6NEEpPh/1qL6mYZYQMp9vfvz/une2OpURV+n/xaXRUsffPkFKSD+CndufqX7VkAIBjWn8fClkIh1Pt5DAQYoCSECgJgRADAL9vXN3Ko21OeTWJrLh1QIhIwQaH3Dc9UJHoeqMSvJaMda8qNzAAlwL4xsnkHlcOXLqtaqsQQoQBMvGDHo8k/Aa/qjz27ivKo8dzEe7DRfgeIayMK+9wzmtXlCyWh0clku+IXmv+c0efdYsa3Z7yKrdn4CpvzrE1R3y0YHev1c9mx4NUmUXjRZEEQrLoQSsDD56cgQcp/b/4YMjuGRlKqTMPjq6K82AI4XDqtGZCCCiN/Ire533jptdlwYMCPl/A5mXauG/6xYHOe3CekpkHPS64XLb68kU9iIkfvNUjsQfnKe++8rRyPOeiD+fiHiFE5zwYs0vVFcgASWKb0h9/+Iwr13WnqqvttvQ1l1bqynM/2+ui1dd2dg7LYFMcfuTevnetPynT+Xo9ueYYAJMFFwj7HTX5HAGHq2eli9Z4hMCl8a87tMvvx9TW2F3lOz3+heYWI8FOjgAhBhRqgBIGQgQIEaCEgZKwhxBzyfj691Pe5uAtz+UAuIGL5MOCIQbTcrRadDSARKtXafOuY1gHAK8qN9QB+DEcbtnk5RRCoekrABFCrv2gx9+2pRs3X32ydr765G2IVDe6CoDjalQC4jWnn5FIJNmh9MOXnnG5+t+pqoXtPah1L3W5+z/ba/Wznfcgz8CDN3fCg8dGPSgEwkYXe3BwEg86E+Hvx5xe2wkPtiTcySGEQFFoW2AUEyh5CCFLxp9Rn9qD47dEPZj85/ZgMATTdJRynj0PzlMy82BeDhQbC7mEkGs/eKtHeg/+U62d/0+1cx4U6HIPygBJYouS8z+4XPfqlyXbAieEQM9xPdL7krUZ9w7In7PUyy02WTjbglYAvNT3rvU9M5z28tb/CTQGunoX6RJuskIRF6CYpqMqon0QeaDYoYMYOBfwxaXaETBQkvgeCAEosY4h4G+dtGdpqq/1SgAljKVu0urzO95F+t30QEX8n21UDASEUBCS8jHWlqP8qnLDewAcVbyhhKIgtzjdsDcAPO3kuvPVJwPz1Sf/AWAogDMAvGvnc6YV9ltW+EYnc0kkkuxQ8sHjl+v6kSk8qEB39X2k99pXM/fgtUu9XLDJQmTgwZuz4MFQBh50tot0CeesMH4Oh0FDJz3I4YtLtSMESSueRgOlYwjBWyedtceGB1nK76HP57d14zH8bvrFgSQeRFswl4L9HpynOPcgJSgoSFup27kH/6kG5v9Tde5B0/JbltXlHpRlviVpKZi2rMBbnPu1K8fVoXlYPMywPt71zGgnKxtt5M9Zei6AV935HngKkqc2EYVAcSttFd+4xcHC7ANwTKq5Y4TtaKPXk2sUADsRedgCAPK658GdazsNGwDOqTqt/xvpBpUuWkMAfA5gsLvAAz1n/5Y1oQT5xS5b+ddR9gA4Zk1p35ZkA/pXLdEBNABI+GdWWOiGS1cAiGg6na15/wLg5hUlU9s9NAZvec4DYAeAngCgUAFdT/5cKcjThdul2P5iTcvYEzb8ewDkCiHyABTFf68iBz0NhI0WCNH2V2DbJ31vHxA77jx2vwLgHQCOVmiDIR9aAo2J3toD4NgVJQ/VO7leIs61fn4c5+w2QugFif4uWMwIWpYxfmHO8+s7O5dEInFGwbKbCry5x3/tch2V3oNW08e7Rp+emQevjXpQ88CTIsWXWARKSAHhUQ+qHMzFPoCCSTX3OvDgsQk86M2D2+XQg/+z4cHBMR50e6DrMR4kBPn5ec49uLg0uQdHV6XxYCFc0XuISadLR8SDceldg8dvifMgbff1xVNQkCfcbpcDD1p7wmHDhgcZwu2PDGz75L2+7T04i2XmwWAILS0JUwQjHlxQ0nkPXmEdxzm/jRCS2IMWC1qWNX7hCzld7kG5gySxw4OKpqSVAgAoujqq35wNUzOc53wACLeEwK3Ez3fFq0Av1KG4FVCdguoUqleFXqhPUNyK08Z1pyFGCgAQaHK8evYHm7tIpyPSgA2h5iBYzNcnuIARcrSLVILEW+6xTEASKQBAS3M4+nVyJ6kNNwL4c4KdpDmISgEAGAfCBkm4k2RZQGMzewyA7eVCVdFKKFGGADiKENJBCkC09K3qgtfTDYrSJqV18eOi55F+AqDO7vwA4HHnwqV7Er01OxvBEQDMV5+sel1/+kLDDPYPG4EXDTNUbzHTb5jBb0KG/2l/sLGbDI4kku+MBxUlz54H1YJR/Tas7pwHzRA4T+AFASh+BXqTDiWsgJoU1KRQgyr0Rn2CEsyCB53vIv3B5i7Sfg+GgmAsxoNCwDAcFRLKggeb275OB4FZxIMdd5LiPMgRNhKf6bIsC41NzQ49qJRQSmx4UIU3xwNFaes92NGDkfNIzj3ocSc7jzQ7G8ERAMz/p1r1+jP6hYZh9g+HjRcNw6y3LOY3DPObUMh42u8PdjsQwREgd5AkaSiYtuwsAG/m9yqEotlu9rkRwIidc4fbzqfKn7PUBaAeQD4AKLqKvB757R5aikeBmqIcthACPMyv3Xb9sY/ZmbPXk2sqAPwo/vUMdpFmVJ3W/81UA0oXrVmMiIgARHaNXPlu6F49+nsgv9jt5CHdDODoNaV9GxK92b9qyf8DcHOqC3g8KgryFFDqOO3tTwBuW1EyVQze8pwbwDYAvTsOE6A0krogBBDJnCRNAPr26+O6E+nl1obFTITC9qoPccERDO6FEPzmT/refl+iMeex+6ciUtHH9jeccYa9je2K5jy1ouShOXY/L5FIDk0Klt0U8WDhaYipTJ2OiAeHj7XvwWvjPEhV5LnjPBhQoAZTeBAC3MWv3faYTQ8em8SDzneRZlT9L40HB8d5kBC4XO62nZYMdpEiHlxcmtiDo6tseNCDgvy8TBqpRjy4oEQMHr8lhQcjBSgIIbH9fiIe7NvHoQcZQiF7Z8Q4FwgGghBC3PzJe30Te3AWc+5BxrF3b7tsiqdWLCj5XnpQ7iAdgniPXjQjd8A7y3IHvrMud8A7S739Fp7VFfMUTFvWTQjxHwBgzvKDhwBwelB1KqJSAABmWAg2tt/KVdypAzRCCKhO7y97rLow3WS9nlxTkqzRXbZ3kUoXrRmKGCkAkV2jUGMQLXXN8O/1I9AQgH+foyZ2+QBuSvH+NCCSE0+pO/rLhdjnYDBowTAzWiC5FcBd0Z2kWUgiBYCAcwLGIv+Nzv1QddklTYjkQO+zO6GqaKDUXoBOCYWquoEEK2etvKrcsBTAH+3ODwAKVeDen/KyHdmpHCWRSDLggUXeGY++k7vs8Xdy1z36Tu7Svyz0do0Hl93UTQgr4kErYZptMjrvQW4haMR4UABKKI0HQUANen/ZbBsePDaFB7O8i1Q6OIEHhUAoFERLSzP8fj8CAT/8fkfnc2x6kIBS2vYrlmAwCMNwvEgItHowspOUwoORM0+MsdjCEA9VryzLwIOKg2p/kd0kpPLgPMW5BxUKt7ttF+l77UEZIB1CeI9eVJBX9u5Od573dd3rnqx73KN0r3uKOz/nzbyBS7a7j3rL9tKWHbjFKgkh+QBgOKvwBgB/6Ddng5MDox1q/Yd9IRiByLxUp7BT9ZRQ4hZCPJJunLD4I4SQhKZhJnNa0W4UgDNTvH9d0vtgAixswQyYaNzdDO6sJ8CvxtTWlMa/2L9qSS9ClOGqmgtVzYOiuKO/PFDV/GigFKGp2TQz3ES+TQhxF4BbHHymBcDfAGChd2YDgN87mVBV7JUaBQCF6kD6JnJ3Alju5B4URQMiFYAuXVHyUNLcd4lE0jU8sMhbMPfdvJ39ve7Xj3Drk3u59VFHuPUpA3Lcb/5jSd72e95yZ9eD7NtKQtSIB8O7nH78D/02rO6cB60QDCvqQYOCpKgU2goRxC1gw4MihQc5Q9g8QB4UAoxZME0TjY2NTnsF/WrM6bUdPTi6qhchZLiqqlBVFYqitP1SVbVdoNHU3GxmmE3VOQ++4M3Ag7YzeaCoFOgSDypAqwcXlHxvPSgDpEOE3AHvUEVTNmluvW+i9zWP62jd696aN3CJ/Z8iU5BzyqILqaoMaf29GTJhGY52kfIB/D9bA+csVQGck+g9f4MvsnvloEYOIeSSsseqk64m9nhwZTkImZnqGhnsIiWsaFe6aE0PoGNJ00RwJuBvDH3qYE4PgN/FvlC+aa1LUXLnKkouCOmYhhEpY+ppC5IYE5UCyj8czBl7rds87tw+6Ue28XB12SWxq2VPwEF5T5q6Wl38vQU/6Xt7ypW5mPNIexxcFwD+vKLkoZW2b0YikWSFx97JpXmKsqm7riX0YA+XdnRvt771H0vysuPBRT+8kCrd93vQrIVl2V7wB5x48NoUHgz7wLgFOFASAbmkbHYKDw5ZWQ6k8WAwOxXtSgc78CDn8Pv9nfPg2E0uRVHmKkriJuwRD+7fjWGMVQqBTnjQ7cyDK8sy96C99liRewMJfvJe39Qe3H8eybkHF5R8rz0oA6RDBMHF7zS3q1eqMaqu9SQKfT4b8xFK/xT/WmCf49KUl/ebs2GcjXETAXRL+I4AfN/6EF8a2wZzyx6r7lCfuceDK3UA/wFN/Xc/g12k4wVEhzxuREqRuhK8nhD/3uAvAXzrYN6fj6mtORoAyjetPQHAx5SqZ6XL4abUjWjUuXhlj1OuEoIudzBnG15PHjz2Fmz9AB6MfWGhd6YJ4Hq7cwkHPx0IIXbYGfeqcsNuAJfY/SGAMXMnHJZIlUgk2cES4nclLi2lBws1taeLkix5MLejB/2Oz4df3m/D6s55EIAv5HP0DIwyt2x2Ag8OiXowzc+AGewiHS9EFjzo9zv34Om1EQ+O3RT1ILXhwbYvf/HKt3tcJYRY7mDONrxeDzxuW+e1OnrwBa8zDzr4KyBg04PzFIceZDtxGHhQBkiHCFShV9oZp+ra+cXDKhM9oGyjj3lDJ5R0WKFjhoWw39E5GQB4pN+cDen2hDukFcTCLQZfXYvTIKkXgIcTvH43gNF2DoE63UUSRDxf/t6mX5Yv36QDQOmiNW4A19i+APC/mkmjKhE5/GkXTQhxZ/mmtX8CsAqRvPe0RHKydQBYFPk9nyIE/ulg3jYiQVLa4k6PVpddkqhr9kLG2U478zBmbwdTCAEumK1VWwB4VbnhHdMy0jadE4LDYtYFK0oeclRqSSKRZAcXtefBAk09f35lcec8+EZfnRBXRw9a+xAO1Ti93CP9NqzunAcFg0+0QJAD7EGHu0gC4vnysZt+WT426sHBGXhww8jMPDh2UwYepECbB8kUIURmHrQXJD1avbIsiQf5TjvzsESVDRMQKQgh7HtwnvKOaVo2PChgWeyCFQtKvvcelAHSIQApqtAJpR1ybFPwz+JhlYM6MeU4RBrPdSDYGIDDRq6jETnAmJD8OUspgISHRGMx/GEYLY7/Pf6k7LHqtmv3eHDlFERKdNoKtpjJYAbNr+xORgVViSAPA/i8fPmmHwG4GEAPB/fburL0OADb8wK4lFLlFiT5M0sO8QH4DABWlEwVhOBn0bkd4/Xkw528TVYAwF8TvbHQO1Nwbl0h0hiYcwaL2fvzZ8yoWlN63bO2BrdeX7ALDDOcdLVNCIFg2H/3e0X3rnVyXYlEkh1mVRBdp8SRB+dXFneNBwOfQXBHB/tTe/Bamx7kYRhaBh6cHePBITEetBH4MM5gWg48SKhKSNSDYw+0B2kGHsR+Dy4oEYSQzD3o9cDtTrpRltyDL3gFZ9yGBzmsJC1Q4mGMVa1ZVOrMg1xcYBhmag8Gw3e/N7/osPCgDJAODU4UnDv5s8oF8ErxsMpMD6tOT9aHSHCBYFPQ6fX+3G/Ohg7b/FHGAbAlvcaahpDgosnh3P8oe6y6pMeDK7sBeBatp5ms9GIQQghmscvhIPObRv6YBgCoyNFzH1USn39NxHZEOlFjTWnfEBxsXxNC4E6/g5Pgc3T79uN+0Pa1RRvAXgtkloud400aJD1eXXZJ0h4J7+Zfsty0wnckcwPnHKFw+vROIQRMM7gcECNs3nIbb3vuMENGoCxkBFZw3j56tpgZCob9ty3KufMOp9eVSCRZ40SDC8cenF9ZnLkHWaLFfkCIMILBjU6v9+d+G1Z33oOkISRIBh6cXV3SY0icB22oTQghGHfoQRLjwdzcRxX7hQX2e3BxaQYedFSWvPVz27evO26/ByMNYDvhQW+yIOnx6pVlyT34cv5y07JSe9BGie+IB83lEHDuwec9ZihklIVCRkcPWiwUDIZvW/TfnMPGgzJAOjSYYoYdrxoNAfBk8bBKB+UN2phmhZOvjoV9Iadlv7sh+YMuZVpBLIKLxYSSs9KtssRRIoR4DMBcxJThFKZIv4tkiRe3/mjoUgAVdieLrTCkUMWb48qFR/PaKTDwt9ppY2Kj0n8B2Gp3Xl1zQ1GS98ZIhBD8qfjXVpRM5QB+gcj3yzE53nzoWjtJhQDcn+5zSwsu/aNphSdZzNwhBOeR9AAGwwyxYLh5HxesBpFVvtUA3gUwXwjxEmPGcssKv2uY/sctK1i+uvTXk1f1+pWjLc5W3s2/x3rbc8fJvmBTt2DId0sg5LsjEGq5LGwEvYty/nBPJteUSCRZY0qD83LMQwA8Ob+yODMPmtuSvhkObQezmp1cLzseJGIxEeQs4eg0ShIPCmFjF0m8uPVDhx6MKSSgKIo3JzcXHq/XTonqv9VWd8aDGhwEYwAAIURHDy4o6aQHvdB1LfYlex58ueCPpmVNsiy2QwjBW/smGabJgqHwPi5EEg+y5ZZlvWsY5uOWaZWvXlg6edXCXpl58OV86+3nPSf7fMFuwWDolkAgdEcgELosHDa8i/6bc1h5UDaKPQQgRRXLQcikgtLuoIrjmPZXDZ9OTFvusxV9zBu9AXwNRJq16jmJV2QUXUV+zwIn98EBjNo5d/iG1hfy5ywlAHYA6Bvp3hAhxUHUy5rnTn227LHqB+Cw9r7f8sGMT4kgANEpiNrenUIICEN8BksMr//NeH7cO9uPBVBlZx5OOCytY/AohIDJDIStcKKvrxlAn9ppY9qVyxxTW3MxANuHjU0zDH/A3sKiEKyFc7Ng69CTE36zT9qzlAJ4EsDP7M7fCuccjc17IAQHgL9Vl12StLxrMibunesmIOz9brMzalAhkUi+X8yqIMsVgkmndi+A7ryp56/Ondhg34Nv9N3vQfUY6O7jE45T1G7IL5jk5D4iHhw+dr8Hr43xoErQWnxUhEWyPZvLmh+d+mzZ7Aw8uNkHc2/HRyohtEO1t2jw9BkghtdvHM+PO9mBBzmHleDMqBACpmEgHA4nCswiHqyO8+DptQ49aMIfCKQfGLmfFs55wda1QxN78Kw9nfNgU3Pr1/m36pVlzj14zl43Adj7r3eTHvwOkAHSQQ4pqvAAaASgax4Xcrun7f0WjwVgYsOnE1fZGayPeWMWgKdbf69oKlS3BqruX5XhFoMZNFB4ZLd6d57HSW7x/wBMChB/CYATuOBnC4grKdo/nIUQYGCw0O6ZYALo0Tx3amPZY9UeAOsBlNmdmAuOFrM5cfBFAVASSTrgAmBoBHBc/W/Gt+U/D12ytZoKmjafnVEGpibPEeaCI2AEwEW7MQ/UThtzQ/zYMbU1FJGv87h087bS4tsHxlI/S4VgIc6NsVuHTtyQalw0SHoawOV252/FH2hCKBwIA+hfXXbJbqefl0gkklZmVZA2D5a6NBxf6DhrzgIw8dyJDfY8+Ebf9h5Uj4SqDQFV9vuXs70wjc9R2G1WvdszzLkHV/KIB0P8bGGKK6mn/WKdYAKskcGqNyNhVYSIBx+d2lg2OwMPmhwt65shkjYI379MCUQ9uDHGgxO2VlNqw4OcgbEUHuQcgUAAnMV5sDqBB0+vzcCDvpTzA4AQIsQ5H7t17dDUHowESZl50B9AKByOeHBlmfTgIYZMsTv4GQ9ABwAzGEaoxXGpbRVARfGwSrsP8Gmxv2GmhXBLEKEmP0LNAYSa/Ai3BMEthpa6picROXhol5PDCNcDqAOwgBJ6pUI69ikghEAlKnS0a2WxtHnu1EYA2HLN4CCAnyJWG2mghMKrehO/yRE5k2QKIPJM/VlscAQAgojZ6UqsCggwJfVDmRKKHD0nNuWOAUi4srmmtC9HXH+HdLhdSb7GKJxbnwvBBqULjoC2dLvZAJ5xcg9AW0PVp2RwJJFIskCbB2vDJrY5r6aqAqiYX1mcmQetXQgHFyPkfxuhwDsI+d9COPguOKtFS1OFcw9u5fs96KZXKnlKh0wGohCo3VToffXYn9SWNj8a9eBTGXhQo/D2T+UIgZhtq5/FBkeRd8XsdIvqkaavaTxIKXJycmJT7pJ7cHFpBh5MXVGcc/65EGJQuuAIaEu3y8yDkYXlp2RwdGgiA6SDnymxvwk2+pDBeaQjALxQPKwy5SEVfcwbKoAfJHpPcAHBeLtzO2Yg/AKcleKEBq273aOelChQ0ZbH+2rse1uuGbwawF8czU11aDRt/8Cn6n8z/tX4FzeeOvADTnnKQ5tMYbYa2hJC4FLbUhdfqZ02JlXN2AWI5BvbQlUTf31CiG8BzPxiyLhjvxgywXaN2hUlUxki6QWOquGQiLTvdfIZiUQiSUI7D1b7gtjr/DzSEQBemF9ZnNqDb/RN7kHRAsH3QQhf22tmeItzDx5Futv96Yt6Fag9knjwqQw82E2H1t2GBzcm8OAHAz/gPI0HbZahJoTA5Y7xYHU2PZj4j7jNgx8OOfaLD4fY9+CCEunBwxAZIB38TIl/wf9tU/zWdEcURNbb3Ii0Z1MxBSTtIcExAOzm8O0CUA3gAUQqz9iCgkKDln5gFCVSsZMDSFSf/w8AHJUS8iiemNNOHdgCIGme8MZTB17FKLuRE94uuVpAwFRNcMX+mUhNafsePJhq3JrSvgLArXavG+nr0OGQagUhZMjmQSe8bPsGY4gGSVfAQR44F3xlddkluzKZTyKRSOJo50EBYF2THyGW/JkrENmi2QBgJYCPAOwApvjSH5bveg/qBNqR9utGKIUKQLPowf4eEC1DD64ceBVj7EYu4jwoBEzLBHfQBkTTbHpwcWkGHuzw423Eg6sHZebBSJDkzINcrKxeWSY9eIgiA6SDGFJUkQ/ghPjXBefw721KXn3GhUhgpCESKKnR1zz4dfGJlW8Wj6s8KsmU0x3c3kJjzQyxc+7wEIBfO/gcVGjtqr2lghACAvpx89ype+Lf23LN4BAiKQb2lqzQmmqXsBS1CeDH9b8ZnzKHceOpA++3VKvIVM37TNUMGpoBUzchqPOzfJTQj2unjUm7KramtO97nLPP7F43RlDfArhg86ATLtg86IQO3z8nRIOknzLO3rUxvxCCO/o7IZFIJImYVUESejDMBdY1+cETeNACsOpeojkAAA8HSURBVBaRoOgrAPsQCZY2Avgf8OvfVha/ObuyODsenFEjdg4f69yDpQBJnQnWBlEIiJt+3PxoAg8+lYEHVQrvgBQe3JjGgysH3m9ZVpFpmveZlhk0TAOmZTpqKNt2L5R+XFttw4OLS9/jnGfuwdWDLti8elDnPBgJkn7KOLfpQSE9eAgjA6SDm5ORpOmZFTYRbPJ1fCOyW5QYAkDBWRDYVjyucl7xuMryuBHTEn0sCYta/2fn3OELALxt94MEBErSm0w4fmmy97ZcM/gjAH+2fTEAGtWgkQ67WLfV/2b8Ojuf3zx5kG/TlPKbBRX9QPAYIj52DAF5wu5YzrmtakWMWYjmkL8MYOjmQSfYLs2ajhUlUy2FKtNN09icbIwQAoYZ+svHR537cbbmlUgkhzVJPdhgWqj2te/LJxAptZbsJ2EOoBk4C8C22ZXF82ZXFmfHg8PHOvMgJVC625+IaCk8+FQGHizSoHVL4MGNNj24epBv0+rym4UQ/YBOeJB0hQfbYsWIB1cPyp4HF5RYCqXTTdNM40HzLx8vO0p68BBGBkgHNx3S62IJtwRgBGIOq1IkD45iIVAR2SquLh5X+VLxuMqR+pg3eiLS7dsOFoD4h/V1AGwfjlJsNrsWQoCkPxx5N4BP7c4NAC6lXfny92CjR0E8m08ZVL/5lEHXAhiKuNzwdDDOwkywf9odv+7IAUtMM/x5unGhkK8ZwIWbB50wc/OgE5I2pcuUFSVTLdMKDw6FA/+MbyTHmBUOhf3XfNTn7JuzPa9EIjlsSenB7YEwakP71dMAwOaJ+DYPzq4sfml2ZfFI/Y2+B9aDRfYyKQQXIKQLPFiaBQ+uHlS/eXWGHmQszJgDDy49colpmjY8GIp4cPWgmZtXD8q+BxeUWKZlDQ6Fwgk8yMKhUPiaj5b0kR48xJFlvg9iSFHFxwBGph5EkN+zGIqmRlLq0p69TAwX7NOQCAzj9nbplxtrZkyOf7HfnA1/AnCLnQswMIRJ+kpETLBNe+eePDjduLLHqkcgklVhe2uqyWiEgNgHYFh81bpMKF++aQIiB2bHpRtrWMYdO04ddreT6w/fsTFHVfUdqqqVxL8nhIBhBD8LhnxTuyIwSsTxX72pcs7OppQO5py/b1rG6qr+F9hO85BIJJJ0zKogaT2oEuDk4nzkqgo2w0Fn0ThaGPl0RcA9bA+zpZHlxoyajh7csNq+B5sEwp+n/xmM+dimvTfa8ODsDDz4YSOEFfXgxix4cKwDDxrGHTs+dujBSTtyVFXdoapqEg8anwVDoaldERgl4vhTv1K54GdT0upBa3VVZX/pwe8BMkA6SCFFFd0QyRJIu8SkaGowr2exIG7idZC5lhAmLBgiBJZ6t/z/jDUzOlRm6TdnQ46AqCMgCZObY7FgwSDhlGO44AYHG9Ewd1J12hsHUPZY9R0A7rQzFmgLkM5PVLUuU8qXbyJCiAsFxFxKaMJmHQYz3t4xddiZmVx/6NYNuqa6HlRV7VJCSA5ACOPWV5xZDwZDvoc2DzpB/oOWSCTfC2ZVENsezFOV4KTiPLGeEG9nayp/Yyn4LKRjt6Wkmvr/jBk1HT24YXWOMEUd0Wx4cI+A8UXqRzYPc4M3sRENv7fpwdkOPbi2EcIU5yeqWpcp5WOjHhRiLqVJPGgYb+/4OEMPnrRV11T1QVVVox4EYZx/xRl7MBgKPbR59SDpQUmnkQHSQQopqjgPwCs2hy8uOrLns9DwXKY7SPFEAqUwGBKWUh1urJmRcCv/yDnrblWg3pPu+iEEwUniajdCCHDwrwXElIa5E7fYveeyx6o1Lng1JfSYdGOFEGg2m56p+824y+1e3wkDln2uMcEeooSeRwntIYQwBUQ94+z6nacOz1o+tEQikXxfmVVBHHnw7J5Fz24Gnst0BymevRZFVVjHl6aKBIHScGNGTWIPLl91q1JE0nvwUw6e4CgxEPWgn38tDDGl4XcOPDi7WuMmr6aaDQ9ygeaPmp6p+7SLPHjC5xpj7CFK6XmURj0oRD1j7Pqdn0gPSg5uZIB0kEKKKh4FcI3N4TeLfTPvKx5VOR8u/DCb98GEhZAIQOzvRbcbQB9jzYyEf3H6zdlALFhVKtShya5pwYRB2qVpW0KITQKiRkDsBMTje+dOTJtnnIgBj34+goB8Et98Nh6DG80By987XdU6iUQikXw3zKogjjw4b6a475HK4vkbkF0PfmtRVAY88PG2Y9sRD86oSezBDauJ1SCq1GKS3IP1AsbWdh+3BBebhClqREjsBBeP7701Qw9e9vkIopJPCE3jwb1Gc2Czv3e6qnUSyeFIJxOyJF3IJAdjlwEALFwEFbuhoDhbN6EQFV7kIShawCNB0qJkwREA7Jw7XPSZ89EIC9YHCpQTY3sOCQhYMGHC3Ij9VVjXAtiwZ+4Ex63RE7H12qHr+z28/l+64ro82RguuOCCXSGDI4lEIjmocezBPsBFXwO7v0X2PNhd5Tgrz4+FLV40cQUAFiULjgBg5/Cxos/iVSOsveIDpQgnxgYqggtYtYBZIzp68JosefDfQ9f3O2f9v/SSFB60uOABdoUMjiSSxMgdpIMUUlSxB4CdIqBNALqJfTMZABQfX9kXFGuhoMMBxs5gCRMh4QeAC4w1M2xtjR8x56NyAtwCkEJA+C1Y/+WEL69/cnxLNu8tEX0fXv9fneoXxu8kccG5yY0f1/xq5ItdfQ8SiUQiyZxZFcSRB+fNFAwA7qws7usD1u5Ddj1YaypY4vcAIBcYM2rseXDhqnKi4BZQFILDb+0R/+XNWF5/9QHw4Iz1/9W76xfG7yRxg3Nzr/HjmrekByWSZMgA6SCFFFX4AXhtDH1d7JvZLp2geGSlBhUPQ8FlILauYYsAb2YcvLuxZkZjtq7ZlRz18CflFOSvhNC+gKBciCVMsNu++vXoLheTRCKRSDrHrApi24PzZop2HnysslirBR5uAC4z7F3DFm80e1kjV7obM2oODQ9O+6ScushfiUr7QgjKTbGEBdhtXy2VHpRIUiEDpIMUUlTxNux19J4l9s1M2EegeFylBuBiREqODursPYV4oDqwZtqQzl5HIpFIJJJ0zKogtj04b6ZI6MHZlcVZ9eDKgKt647Ra6UGJ5HuObBR78GKnedouAP9J9mbDqolmw6qJ/0akgdv5AGx1yE4GJdRREzqJRCKRSDpBpz341MQG86mJDVnzYB4V0oMSyWGADJAOXl4G8HCK930ArhD7Zqbt2t2waiJvWDXxVQAnADgdwPuZ3BAX/O+ZfE4ikUgkkgyw5cF5M0VaDz41sYE/NbGh0x70cSI9KJEcBsgUu4MYUlRBAVwL4CYAR8S8VQngt2LfzIxXworHVU4AcCuAM+yMZ8La3bR6yhHpR0okEolEkh1mVZCUHpw3U2TswdmVxY48WG/R3W9M+VZ6UCI5DJAB0iEAKapwARgIIB/ALrFv5q5sXbt4XOUIIcStAGYm6x3EBbcMERodWDNNphZIJBKJ5IAzq4K08+C8mSJrHpxdWTxCCEQ9mHhMgBPr05A++rNptdKDEslhgAyQJACAgrHLRgB4ioKOItGaoEIIMFhbONh03+rTtn/HtyiRSCQSSZfxw2XdRzCQpwopG+WikSZ+XABfW8qWZkanrzqtTnpQIjlMkAGSpB3uMQu8GnFN4oLnEEKW+Faf1vRd35NEIpFIJAeKngv6eAe5zEk+TnIowZK1p30jPSiRHGbIAEkikUgkEolEIpFIosgqdhKJRCKRSCQSiUQSRQZIEolEIpFIJBKJRBJFBkgSiUQikUgkEolEEkUGSBKJRCKRSCQSiUQSRQZIEolEIpFIJBKJRBJFBkgSiUQikUgkEolEEkUGSBKJRCKRSCQSiUQSRQZIEolEIpFIJBKJRBJFBkgSiUQikUgkEolEEkUGSBKJRCKRSCQSiUQSRQZIEolEIpFIJBKJRBJFBkgSiUQikUgkEolEEkUGSBKJRCKRSCQSiUQSRQZIEolEIpFIJBKJRBJFBkgSiUQikUgkEolEEkUGSBKJRCKRSCQSiUQSRQZIEolEIpFIJBKJRBJFBkgSiUQikUgkEonk/7dfxwIAAAAAg/yt9wyjLGKCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADABAkAAGCCBAAAMEECAACYIAEAAEyQAAAAJkgAAAATJAAAgAkSAADAAhYDkjOrlItHAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:35:05,755 alphafold2_ptm_model_2_seed_000 recycle=0 pLDDT=69.3 pTM=0.358\n",
            "2023-02-13 10:35:06,285 alphafold2_ptm_model_2_seed_000 recycle=1 pLDDT=78.7 pTM=0.428\n",
            "2023-02-13 10:35:06,799 alphafold2_ptm_model_2_seed_000 recycle=2 pLDDT=80.7 pTM=0.44\n",
            "2023-02-13 10:35:07,366 alphafold2_ptm_model_2_seed_000 recycle=3 pLDDT=80.9 pTM=0.44\n",
            "2023-02-13 10:35:07,371 alphafold2_ptm_model_2_seed_000 took 2.3s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": 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IiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIxgKJiIiIiIjIpn3ZB0BUzO2fDDwYUl4AYOWOxsanbx+7Xe7Jdn60ceTRutf3lKppNZl0enUqEb/kT70WL97Lh1tU3+Uj+uq653oBkUkkovesGbbkg325fyIi+uoZeNUnB0s7BxtXNz69febYPcrBkR8vPdoXxFOaDzXpOFbH23DJ4oHD93EOntZX18X1AsgkEuY9a4ZNZw7SfklIuUf/z4i+cHesHHRnIBz+haKqAIBkLLYpnUod8ct+K7bsznauWDPsmLKq6jdUTRcd09KpZDIZi9Xf3/2t3drWnhrw0eizw+HSKaqqCQAwjIyMRduuWXHI3Pv2xf6JiOirZ9APV94Zrgr/QtWsHIy1xDalYqkjVjzYb7eya9g7S4+p7oM3dK/YmYPJmEzGdqD+rT7D91EOnn52OKxOUVVh56CUsahxzYpDXmQO0n6HBRLtl36zvO/AksrKFR3FUYdMOr1K0/VhP6yaH+vKds5dWlcSKav4uKy6plv+vEQs9vw9Fa+fVWz9o5bU1Sqa+ltFUYcKRdmi6Np7iqKkvIFQpap74qaRuful6vmbim2jfE4vvXdd/1afL+DLni6lKYVQTl9Q8+L0rryXDn3ePzsQCkX+reveUVLKTDIZf2B530d/vTvbICKi/VvfC5cPrKyvXKHquTmYTqRX6T592Pzrq7qUg3XTl5ZU9MbHNf1EQQ7GdsjnX+8+vGgO1i25rlbVMr9VFWOoohhbND31nqIgFQqg0qMjnjFw9/zqhzvJwZP13nXeVp9PyctBKYUQpy+o+edu5uBtgVCo8t+67rdzsP2B5X1/yBykvYYFErla8enwkZqu3yYUtZeRSc8xMpkrBx+8bLf/YJ7/5FBF1fSBnkDwNEVRzUw69ehpPRZtL7bOLUvr/1LRo8dlLrNfAvCNH1bNTxXbxrlL6xQAUyPllaeXVRXkAqSUSSFEz9/6Z2xzWv/o9w6uVT36SlXXAx3TFEVFuKIauscLADBNE8lY+2UzKt/4q9txlM/pdVGfvkMmq2phj1YpZUoI8e2uFklV808O1NbWrQ6HS2qyp+/Ysf365X0fva0r2yAioq4ZPu7TkbpHv01VlF7pTGZOJp25ctmcg3c7Bw89+hNF17WBwWDgNFVVzFQq/eiiV3oUzcH6c5b+pcfA4jk4//qqojlYN32pAmBqZT1O79ZHFMyXpkwKRfSc4R/mmIMHv/fzWt2TXKnr6Z05qCpAdQXg9VjbM02J9hgue6Py4SI5ePJFffr6JquqwzHszMGuFUlV8ycFamsHrw6Hq/JycOP1y/v+iDlIewULJHK04tPhRwQiJQs1fVfTVSLa/rEvGDq0V+TVon80U97pJYSiXKPo2kRV0ypVXe8TqeweUnUdAGAahpFobznjlO4Lpjmtf93cCl3T9fU1Bx/cTYjCk6ntOQBn/7BqvuG2wLlL624AcIvXH0BN74PcFrvzt/4Zv3SaMWpZ/SveUOiE7GnBknL4Q5Gc5UwjYyiqFn7BNz2ev43yOb00AB/2ruvf1+cL5M/ukALQaZFUNf9kn6pq/+3TZ8A4IXLHV0mnU3Fd94TmVd5hFtsGERF1zfBxnx5RUhpZqGflYHt79ONQKHjoq89FiuZgryHvCEVRrtE0faKmaZW6rvfp3r0ypNs5aBiG0dLSfsaCl7o75mDFCXN13a+vP3hE5zk4//oq1xysm770BgC3BEqAg4503c6dM/zDHHOwftm1r4RCrTk5WF4CREK528oY0tBUEZ7ue8ghB0+2c9Db1+dzHRvMzsHiRVLV/Ek+VfX8t0+fox1yMBHXdV9oXuUZzEH63DiKHTlSVPWp7OIIAHzBUP90MvmzYutNeaeXUD2e9Z5g4G7N45kgFGVYoLRiZ3Fkb1v1BiN/nx2bqLts5rRMOt0t2tLiOFMCkEKcJYFHH9w6xvGMf+7SuomQ8mYASMZjSMRdeyL86FfxiQWXlw6bW1EuhBiXP133+vInQVE11cikv++y/bMB9N3auAFOjRFCKNBUr0dTfVNHN3zrbLeDrJp/sgfAc1LKglAAAF33+AFMcFufiIh2j6qpT+l5ORgKBfsnO8nBXkPeER6PZ30gELzb4/FMUBRlWEVF6c7iCABUVVUjkeDfJ54Tc83BdDzdrWWLcw4CgFDEWQAeHfObrY45WDd96URp52CsBYjtcK3pfjQxvqwgByvm3lEuhByXP93nLdyApgo1nZGd5GDaJQcFNNXj0VTP1NENZxXJwUl2DpouOehjDtJew1HsDkBL/lVfrmnqRaaUaUURjww5ZXXRS/D53lxUO7SitscAp3max3PT+tbjn+kVeXWj03yhKPdpXk+P7Gm6p7CoUDUtIKW8HMCfHDbzAwDY0dAATdfhCwZ3zjBVFVLzAEIAUl4kjEwNgJOzVz7v3V7DIcS/kNXs1rKtEb5e9U6HHABwHYBr8o/BSKV1BHMnmkYG0D0FG1FU7cJvJ0697wXf9J1n//I5vVQA1wNAPB7F5s1r0b17/c7DUhQNPk8Y9olek1I+PXbbd+Xcyn/8PXvbVfNP1gA8BeBU0zSQTqegOxwDrJ/bTKcZAFA2+3JF033nqJpep+neViFEmabptZFw2ShFUYxMJv38+31+9ju39bPVvPWnEICTpGnObhjzo6LdRIiI9rX64UvKVVW7SEozLYTyyOp3huxWDtYOXDS0R89axxz0eDw3HX9W6zOvPhdxzEFFUe7zeLw5OejzFZ6ztS7kYMOqBuh+HcHSXWGkaio8Xg1CCEgpL8qkjYIc7DX53eGiTPxLaLtysHENUH+449t1zcF0yqsj2JYzMWMAHoeyTlNx4amJq+6b7nsoKwdPzspBE5s3p9G9u56Vgyp8nmDH93YOni3nVj6Tl4OTsnIwg3Q6Dl33O72XTnLwQUXTw+eomr9O08NWDqre2kig2yhFUY2MkXz+/UOGdC0HT33LykGYsxumj2EOHmDYxe4As/Tf9d+MVESe13RryJtMOpMxDXOSx+d5uPdR73bpl/3motrngqWlZ5bX1LotMh3A6U5d7Z5e0nutJxisy54WqerueOUFQCOAvuMDM3aefa+bW9EfwEcd3wtFQVWvXvD6/ZBCwPT4rOIom2FMmlQ66wEAuHhRrZrW1K1SUcryd9atVz18gWD+ZABIAjj4t/4ZmwDgsLkVAQDrAFT6y8qg+3cdu9cfRLi8ymkbADD2Bd/0eR3flM/pdQ6AKdkLhMKlO4skn7cEqpLbRmGaRruiqJHXSiZLAKiaf7IC4HEA5+/cbnkVqqq6O+3fBFA/r/KO9fkzKuf+YLjHF1yoqrsqK1XV0L1bLyjKrgbSaKzt5aX1V5/k9gYBoHbhI/cEQpFrVFWFlBLtbTue3TTy+98ttg4R0b5SP3zpNyORyPOaZudgJpMxTXOSx+N5+N1ZvbuUg7UDFz1XWlZ6Zm1tjdsi0wGc7tTVrvfQJWuDeTnYvXsVfE6XXuwcnPF0YGcOVpwwNycHFVVBr6G94I/4IRQBn9+D/G53RsaYNOvnpQ8AQO0Vi1T1GG2rUl6Yg/WHA8EyxwtOSQAHz/AP2wQAFXPvsHNQVpaVNcLn39ULI+gHqspdu+uNne57KCsHT3bIQXVnkeTzhqAquYNQFObgJIcc7I2qqj5O+7dz8AyHHHxsuMdXsVBVd1WrquJB9/L+ULKyOJpofnlp3/7Fc/DUhfcEROgaVdg5KNue3TR9JHPwAMIudgeQ2X8uFcGS4JMdxREAaLqmeXyePwGY9dnCwwd3to03F9UOBnBmrKUFmZRrg9upAM7Nnzh5TnlvI5Wpy5+ejLW7bacawM/zpl2Z/Y00TWxbvx7pZFJKRS0sjgBAUW69v+2EMACYQlztVBwBwI5tjVGX4/AC+FXW95cCqASAeHMzolu3IdHSimRbG2JtLVNN0yzoY237ccc/7KtHN+Qv0N62A1u2rGuWUhqKUPNnQ1HUEICRAFA1/2QBZKYJkT4fSMM67wMtLU2Q0rGLtQLg8vyJwZfO1TTdNye7OAKA0kh5TnEEAH5/8OuHr3vA9YatyjfuPScULrlGtUcXFEIgHCn7Tq93/nqL2zpERPtKaf1sEQwGn+wojgBA0zTN47Fy8PCvfdZpDtYOXDQYwJktO1qQ2s0cLD94Tu9MJlWQg+3trt28O81B0zCx/v31SEaTUlWVguIIABRVufWEe9vCACDKxNVOxREANK7BbuagQHNzNbZt7Y7WlnK0tZWipU2fapqyCzl4sksOGtiyJW3nYOHH0NwcnCSA9DQhEudbNVxHDm7ezRy8VdP08Jzs4ggASoPdc4ojAPB7S75++OqV7jl4yhvnhET4GlVk5aAS+U6vU99hDh5AWCDtxzY+O6J+wz9G/GfzP0ct3/CPEX9d+9RhhZ+os/gC3oEenyfsMnucoilLNy4Z+eTGJSMri2zmBgCQUqJpS9FRO+9f33p8ftPadzOJBDLJ3EBJRtuQSbuGzM9mxybWAMB11pWbi/IXME0T2zZunAIpGxy3IEQJgJsvXlQbFlJe67ajZDx2DoBXneZJKS//VXxi78PmVujICysjnUYqGkWyrX1ptHHrtxVFucdlF9/+duLUnva/zwTg2D2jrbX5ZiHEuS4ndwC4xHpbqRcVJT1RiAwUJQMhrHAwDANtba790i8/Ztsv8zs/XCZFNmgAACAASURBVKlpnkj+gorDqHqKUKCoqmMfcO+0G4MA/iCUwtOG3x+8tv9Hz9a7HZSTg5YtOHLQyuVrjli/2jxs3cp0/w+WPFoy60XXZkki+t8z4sSN9SNO3PCfUSdvXj7ixA1/PWz82qI56PX6Bno8RXJQUZaOPHHjkyNP3NilHNy0qegjgu4//qzWghxMJBJIpZI5E9vaokil0m7b+dnEc2I1AFBxwlznHMyY2PjBxinSJQeFnYO1VywKy3b3HIztQNEcnBhf1rti7h15OSiQTvsQjZagva1s6dbGnt9WFOGag6cmrupCDhpdzMH4i4qSmChEGoqSghBRWDmYRlvbVrd1Lz9m21SHHAx2PQcVzTkHJ06zctChsPML/7X9T/+o3u2gnBz062VHDrpn5Zoj/rLePOzhden+v/vg0ZILZzEH9wMskPZTHz8yYLQ34FsZLo9MDISDg8LlkUt8Qf/alpkTXMMhEUsenklnCmcIwF8eRLAyrAbKg+f7Ir7NDR+MHp+/2JuLagdByp3PQ0jGYmhvbnLbXRmAB9e3Hp/9H/kcAIg3NSPe3IJkWzsSLa2IN+/4r6IoBS1ttiCAG+1/f1dX1dKgzwefJ7e/diaVultATnBrMgJwdUk4fC+AbsIsXESY5ktThq97EQ6tWQAghPAk0qmpqqKcD6C3yz5uXzJ2uwTwMACnUYNUAFeWz+mlaJq4zR9QEQhq0PWcc10DgD8vqHnxH1Ka/3TZz/d6vH38GUIYp+YeIyCE9fttaWle47JuDYBvdnwTfOncKgC3mmbh4ZqGw98KAI/uHeKy7dsymUy10wyhKF4Af+v/0bNFP7x0KJn14rBgMDw/GAwfpKqa0HWPVlJafml1tx43dr42Ef0vGHD0x6N9Pu/KSCQ8MRgMDIpEwpf4/b61E85scT3PJJOJwzMZ53NbMOhHOBxUg8HA+T6fb/PoiQ0FOVg7cNEgmZWDsWgMTU3NbrsrA/Dg8We1FuRgc3MTWlqa0d7ehtbWFuzY0dy1HJT4rppRS30JHzwpjzUqkS0VS90tJSbIIjkYDofvRRrdzC2Fi5hbzJfWnTq8aA6m0pmpiqIVzcHtY3/ZhRw8WdE09TZ/wItA0AddzylE7Bz85z+klEVy8OIzhMg45KBVfLa0bO5iDt5q52BhQ61puuSgFnDPQbjkoLBz8PSPupaDF80aFiwPzg+WBw9SdVXoPl0r6V56aXW/bszB/QALpP3Q0rvrRnr83ld1ryfnjOIP+Xsm44l7i6w6pmlL4YncG/ZDy9qUoqma5tNfal43PvcSvJR/y792v2NrIzJp11avbwE4CwAmzyk/FMDwjhmZRAKp9ijSsTgyieS9iqo9A+Atl+1c/uK240aWh0P3VJZEEAn4URYKoiIS7jicBbeP3b70RxVzVwDySpdtKDUVVRcLAFrGgGKYgJSAlFAzxjYtY5wBAL/1z1gAYIbTBryafni/Hj3+5Pc69hNfDeAFAHjBN30DAMeTupTyytIyz+xIqaePP6DB51cRLvHA69t5vryz6bj1cQBQVd1xWFUAkVDQ5/I8CRMAPonHo6MBvO9yDD/M+vZ3AErjsZaC0YMSSeceEkKICWMaH8s5N3in3TgWwKR4tL3Y1cBjYN3oW1TJrBeP1T3eeYFAqOCu5UAgNKmz9YnowFc3bOlIr9fzqseT+8naH/D3TCSSRXOw2aFhz+/3QtN2bUpVFU3XtZfGn9Gck4NSyr+JvBxsbNiKdBdysPzgOTk5mEgkEI22Ix6PIZlM3KtpatEcPO4b20aGouF7Iu0l8CcCCMZCCLdHIEwrB7fPHLt07v9VrJASrjlYVVlxMQAYSzIw1xmQaQkZlTCWZ7YZ72XOAIAZ/mGuOahr6uE9egz5k9cbcpq9Mwen+x4qmoMlZaHZkdJQH3/AB5/fi3BJEN5dvdvubDruv3YOakVyEJ3kYEuRHIRDDm4uzMFU7gAUHYQQE8ZsaMzNwYnTrByUUWSk699D13LwwlnH6j7PvEBpoDAHywLMwf0AC6S9bOmPDhLLr+l3z+rrh7StuWFo/IOf93/5nat6l3R5/bvrjgPwmuZxHp7F4/Ne2TJzwlCX1Ue3N7djy6dbkEntahXRPA73uqiKR0r5aPO68QIA3ppfcwSAw/KXk6aJlm2NjpfjAcCU8okVjWMGwRrG00kjgFnjAzMkALfL/qop5RyvrpdmT/RoGgLWlaRdI/wI5VG4dA8I+P2isqwcAoBmGPCkM/CkM1BN86rHR25KZC3q2DojhEDIH/D2qa1FTXl5fq34+yVjt2c3NT3gso2KipKSY/On+wMqYP0sHu6Y9lrJ5FUA5jptp7Q05Nh/HFBaAExoHD2jAcBDLsdw3FFbrh0dfOnckbD6kSOViKK9pRGJeBtSyThSyVhrMpmY4rQ+gCoAO//GvNNuDAB4DIAAJLY1bMwJGSEU6HoIHk8JNC1wy6GfTD3eZbsomfXiNwC8AsAxfT0eb9nITetKneYR0VfDQWctFf3OWX7PkMtXtw29Yk28//kfvNz7W+90OQfrhi09DsBruq455qDX67lywpkt7jnY3o4tW7Yg+0qS04O6FcXKwfFnNAsAqBmwwDEHTdNEY+M21xyUUj4x5tTGTnNwxtOBojkopZyjZ3JzUDM060pSVg4qinDNQb/fL8rLyoA0YCwzkPlvGpnX0jDXmFdtun9kl3Iw4A96a2sHo7y8DnldyX6/fewvu5SDZSV+hxz0AbuVg3DJQdXOwXuL5CCOO2rL1NHBl27NysFtaG/5BIl4I1LJHUglm1uTqWjXcnDitKwcBLaZDbk5qAnolTo8NR5opdoth37nE/ccvHBW8RwMeMpGPr6JOfglY4G0l6m6eldZZek1Pr8v5PV5fSVlkRPLKkqXb7xthOOJPtvC33T/sZRyNoBQot21dV8D8LeWmRNyLnPM/nNpCYDBABBtjeGzj9ejuXEHpClhms6D9gghvoWOvs4CtzsOgCAlYi0tPwAw2WkbihA+VYjFpeFQwU2RtmcvPq4pAwDjAzPmAXjRaaGSYMgXcBjpTte0JKyH4QEAJoVnSgBXwbpbs0BtVTV0LScI58Ju8erwW/+MxalM+hOn9TOmASEEqkpLUV9TA/snsgXAE3mLzgOwzGkblSWF53RFEVA18UjTcevz79R1/LmGgv78LgmQEgYgTt065r8b7ElPSSkdR8AwTfkUgAezp6VTCcTamtDe0oj2lq3f/nTYzecB+MBpfQDZJ/ffAOjb8U0iHkNrc8eIpgq83lJomg+qqkPXA4quB/49ePWMgk8jJbNevNTuTuFNp5IwjcLeGXZROs7lmAAA3f795jU9/rN4bY//vL2pdvqivx/0ynuuwy0S0b6naupdpVVl1/gCvpDX7/VFyktOLK0sWz7i6o2d5mD3QxfuzMF4LOG4TEcOTjizJScHS+tn78zBWCyK9es/w44dzZBSuvbOzslB4HanARCklGjZ4Z6DQgifEGJxKBR2zcGmNcdlAGDG0wHXHAyFgj6nke40IzcHZ/4kXDQHq6urcq6WwSEHZ/iHLU5nDMccNEwTQgiUltaipmYA7Jpgt3KwrKTwfVg5qD7SdNx/u5iDgJ53J9GuHLw/KwfhkoNwyMEWxNrWor3lE7S3rPz2p8PH7VkOyjhapd1jRwW8tV5oIQ2qT4Veqit6mf7vwRevLszBC2ftysFECmZmD3Pwxjev6fH7xWt73Pn2ptrbF/39oIeYg3sbC6S9LBDwF1z69vq9PaWUUzfeNsKx7xYAvHVLtzrdq93XcWk/2tqOZNzx3AdYrRo35U07CsDOM7s0JZo2N2H9Jxva0/HUe0UO+YFP3ht0OiSOh9OQ7xIrRo/ctBLAT6WUm5024NM9vh7V1TU9u1VDLbyB/5m87/8PHcPQ5OleXnjPrIScf/vY7TkpOSk8cxWAW522oaoqenbLGQL7p5NHbip4Y4l0+kLDzL1ZKZpMwMiaFPL7URYOA8AfluQdg/28I8fWs4DPj/xizzCkYRryTofFnwOcRxUqKy1oXLqscfSrO4dPnVd5R5sp8bLTuooQB5WWh450mgfg+ehJUzpaH92eF3ECAHin3TgGwE/yZzY3NSKVTJia5stvYYSi6AEhRE4f9/Crzz8B4FGRtXAs7jaYElxb3qr/Nf83wUD4Hq/HW+f1+Lr7vP7vAthw6KyP5w6Zs/pnA2Z93KW+3wBwyCMrLhj++KcNRzz5WWzwX1e+dcgjK+q7ui4RufOHAq45OOLqja452G3AW3Wapu/Mwfb2KJLJz5GDUqKpqQkbNqxvT6XSRXNw0JhPTgdwvMujT1Zs+mBk0Rz0eHRfdXV1TXV1NyifIwcrK8sLpkmB+dtnjs3JoJk/CRfNwe41Oc99/emmP48seGPpdPpCMy8HE8lUTqOq31+CcLgaAP6wfewvc47Bft6RYw76fRp83tzTsWGYhmmYu5mDBZMuaxz9SFYOnlEkB3FQaXl1kRy8oWs5OHGacw6aTUjJpKmFNQglt7BWvEpAqHk5eN6ruTkogdgOt8EAi+TgDfN/E6wN3+ONeOu8Jb7uvjL/d6Fgw6HPfTx3yH9X/2zAs7uRg+/964Lha55tOGLdP2KDP37hrUPe/1d9V9c90LFA2otmnhmugvXAtQJCiK8DeGbjbSPcHs57i6Jk/Q+TwNb1DZAuV38AXNsyc8KYrO9HOy2UTqbfVFRluJkx33DZTrAkUPKEACAM656dXccgIUx5HgD0iry6A4DjU7JNe52SUAh9e/VE0L+zkXAd8vpbjw/M+ADWZerCA/EF4PPsys50xogapvktl+P+PYAPnWaURiId23ly8shNi52W+WP56wvaE/ET2hPxjbFkAs3RNjRHC/si+73eFLK6A+R52pSmY8tV0Lfrz8A0JdIp45Ltx64vWPa1ksntAJ51fB8lOQXSVCEKWu9gGrjPKdANU6KsIgSfv6B7cxxA9lPg3bqNHFv3zt2lAB4TAk5NqtjRtPVW0TFqRB5F0U/v+Hdo5jM3CaFfkL9MzOHnbXN8Erp/yozeHo83p2+3pmjoFqoSlcGKY0p9JXeV+CJNw+Z82ukwvgf/admlFeGKJwLeQLVX9/ojgciogDfwdu29C7scLERUKDxmZqc5OOLqjV3LQQANW7YW3DeS5doJZ7Z0noPp9JuKogw3zSI5WFLyBAD7atOu/dnfnwcArz4Xcc3BjnVCoRB69uwFf5EcnPF0wDUHA34fvN5d521DyURNsfs5GIlEOrbz5KY/j3TMwdfLj1oQT6ROiCeSGxPJFNqicbRFCz+we72hTnLQuSdDwLfr12zlYPqS7cfO2M0czPm2SA4WrmuYQFlFNXz+gucfdj0HH3inFAKPCV2Iwk/MEjvMJvcc9Ci7cvDsmTcJRRTmYLNrQ6FzDl44o7cnkpeDQQ3dRleJyiMrjikdUHJXSf9I07CZXcjBd6ddWlEdfSIQTFd7fRl/pDQxKhBMvV07/yXmIFgg7W2jW3a0Fpt/BoAnNt42ouCPzzTMgj/mdCKF5gbXhzMrAJ5omTmh41O0YzAAeLNm0FtS0ZRvAvjMaQGP7i2tKqmGkIDISIiMab/k40eP3rK0Y7neJa9NS2bSBZfT41k37Wuaht413eCzTszPXHxck1Oy3SildDyhdFx5yRjGGxKy1/VHbnQcz3pSeGYKwBUu7xnhUDCF3Gc6FHiwYs6sHbH2uqZo20/bE3HHvhymac5cMna74y/1Bd/0eDyRmOU0ryPjDUPONQ15yIYj1z5Z5FAcg9Lj0RHY1Wf7+w1Hv17ws1zY/c656bRclD3NMCRSKQkhBKq7l0JVc/6b3xY9aUr238EcAE6/Cx8Uuays0ndIWZUfpRU+eHJbA2fF2ltvBvB3h3UBiGHD182qC778xCgB9XqnbivRqOvzsQaM3LSuZ/YE/5QZAsBfFZH74KZSXwS6uqsPhkfVIx7N87zbhgGg9I7ZlT7dd3/+MQW8gcrKSOXFxdYlok6Nbm1yfQwBYOfgiKs3FuagWZiDqVQa27e7jiKnAHhiwpktnebgW/+tkYrinoNer6e0utp6CLiUEqZpwjRNSCkf3/LRqJ05+NrzJdPS6UxBDqaSu27a1zQN3brVwGM11D3TtOa43crBjm52hmK8IQV6bZx3pOMPdOZPwkVzMBgMdZqDcyqOmtUeS9S1ReM/jSeSLjmYmbl97C8dc3C676F4ImE45qDYmYPmXNMwDtlw5NQ9yEEgYJXbdg5OdsjBM+am08jLQSCVgp2DvfLvQbstetINXcvBUmVZ2SmVh5SdUoXSEyrg6ZFzAXRWTLbfDOGSgyqGDZ+0ri74nZdHCQHnHHQvkAaMfHxTbg5eaOegnpeDh0agh7JyMKJHPGWd5ODLsyt9/vT9+YcUCKYrK6vbmYNggVRg9hFlI+eMrLh13tFVv156Qt3QZSfWd9pnOsvopsZmxNwfCAdYQ4A+svG2ETt/9rN+UaImY6m+hpF7xV1Kicb1jX8E8KbLtvoA+P28x6pUTVFH+z0+BL0BePWc/8BvAkBZ3exmWA+1c7ysXx6uQMAbgACsQkkiI4CCh54l0ukjY6nk22nDQNow0JKII5r3vAdFUVAWjgCF3QoAAOMDMzZFE/H/OM1LpJJxABdpqjruF8PWuqYiAEwKz5wXS8SdT8wQz04euWljsfUB4MkebxtP9nj7D0KIwYlUKic4Y8lkq6ZpFxZbP55KXpfOZHJO2FJKtETbPgIw7tOhq49dO3zNyk4OY34mYzhWwl6PDgCXNRz9uusDHxJJOT4aNVYnkibicRPtUXPnhUBNU1FVs7MJbjWAu3N2XH1JG1xGVQoFvb07Ak5RBYIRHYpq9QAFcGnytJulqnp/IKUsGNZOCCEyGeNHAKYC0rE1KpmMJ03T3OHytvJbz64AcHwilZvfXq2wt45X9fQfu3BbwfMuAKD0jtkCwKNwaeH26J4zXY7H1djbtp489ratT4y9besNg3+1yq1lnOgro2za7JEV/5lza9VL835d98bSofVzl+1WDjY3NCHW1nkOjrh6484cLKmfpaZSyb75jySQUqKxofMcrOo3T1VVbbTP70cgEITXW5iDs6eWFc3BiopyBAI5p4YMHHIwnUofmUym3jYyBgzDQDyWQDLv+X+KoiASCQMuOTjj6cCmeDzhmIPJZCoO4CLVVMetXTCsaA7O/El4nltDnRB4dtOfR3aag2/3ONZ4u8exfxBCDE6l4jk5mEy2t2qap2gOJlOZ6zIZsyAH26IpOwefPXbt8Oe7kINwyUEAwGUNR08ukoMYH41idSIJxONAexSQ0sovTdNRVbOz1ijMwZ7V7jnYO9hbaNafqeJXETw8AiWsAh05OOM0qQZV9xw0MnYOwjkH25O7n4PNeTlY7pCDZZ7+Yz91ycGX7RyULjnoy+x2Do7fOv7k8VvHPzF+6/gbhq5y7Sn1lcICKcuckRX3lpaFF5aWhq8Ph4M3CyGWKaoSXX3OkJa1Fwz7bM15Q/+44rS+xX7xo6WU+Gz1BsQdLlNnuVQKOW3DHUd21O6HAYi0NbUjlUzDMEykUxm0NbXL6I7YjQAugEv/XABXdi+taaqIlAcjgTBC/iBKgxGUWs9DMwEs7FiwrG72PLj0WQaA7uW1UHc1TDw2asyWT/OXGdztzUz/yrkjt0XbJm6Ltm2KpZz7h3t0rQ0uw28CQDQRvziWTOS0SLXG2puT6dQRVw9a9cTVg1a59qnI2U4sflEimTtedSwebxFC/NhtHSdP9nh7tc/jOWjrjh0/3tHe/kpTa+vvo/F4rxf7f+h6CQ8A5nSb/2FLtO38WDLRJqVEMp1Kbt6+9b5EKjVk1aBVc7qy79dKJst4POl4iV9RxGsNR78+rdj67x10Vyxj4JRkUran0oU/tkDQB90a5v3q6ElTnFoIHftf+/O65wkhoHsUAPhF8rSb1wLAsvrj24QQjh8AIOWPAdSYZqqgi4z9HI8TFEVxHGoWWf2v/VNm1AO4CwDao605w5ObDv0q7Fa6E1y2ezmAbyTSzjd/66o+ZvQzDV36MNj35ysiY37TsKg0FJlRFi65oCxcckttefXWw25YW3gTAdFXRMV/5twbjpQuDEdKrw8Gw1YOSiU6ZP7qlmHz1342dP6aP/adu6LTHNyw8rPOczAjpx15xYacHGyPtiGdTsE0DWQyabRH22QsHu00B2u6d28qr6gIhsMRBEMhREpKESkpBfJycPbUsqI5WFvbHaq6Kwe3fDSqIAffnNEtM/fFypFtbdGJba3RTfnFUQdN04vmYDyeuDiRSObkYHs01pxKpY9Y9fagJ1a9PahLORiPxS5K5uVgfA9y8O0ex672ePwH7dix8cft7dteaW1t+H083tLrw/7fKpqD87tN/rAtmj4/kcy0SSmRShvJrdvj96VS5pBVg/6+Gzno3NVNUfBaw9GTO8nBM2IZQ5ySTIr2VFoAeT3DA8EwdOuK3tXRk27oeg5W5saBUAX0ag8A/CI547S1ALDswXr3HISdg4b5+XLwwqwc3NCKRFNWDhoOOah0IQcT+c/Stei6MWZ0w5Su5eCKYZHjGsYtqoyEZlSVhC+oKgnf0ru6YuuRa0d95XNQFOnb+z/ltcNLq8vKwltUVd35v0rRFJT3rICS1UUpFU994PF7hnR/aGFOC9TMM8NeAC0AvACgqArq+/WGz184MlsHqZkLoONrn2xe9SMATjcuLvva71uGA0DLzAnfh0sfYMPMoKF1S8EoPTuirZ+Ovrjh4OxpzevGa7AuJzt2RWhua0JjS0MKQN9RY7asdz14AIs2HFkmpXxACFHw8Lvm1ta/fH3gJ66X/gFgauMxpYZp3qWp2jDDNF6PJuLXX1D3rusduW6uWz20zu/1PaRp6qB0JvNuOp2+6raDlhZ9/PkX4Yi1h+nv1C9xfThCMYd+fHp5RVl4g9fr2XlSSiRTsfUbGnt8dvhMt9alHEPW/Pw7AP7hNG/Lxqb5W8c+dozTvDGNj42CQ+uZlBJr123LOanH2tMrE7HMgORpN+/8Yxu+btZxAF532vaGzxoRjyUBoUJV/IBQIKVhSpn+XvsJZz83ctO6i+HQtUJKuU0IUf3+7BUCVnB9LXu+R/ci4A+iR1lP6dd9Tk8dnzz3qMpLsieU3jF7AIB3Afg1VUO/2n75Q7l3OOvNs7sV7Z7Q9+crRuuq9kyf2rreSt4gFa2xtqmvX1fhds/ATkPPXuM1pXkWgCrDNB7+8Nn+RT9NEn3RSl98rTocKcvNQSioUMuR/XeekqkPPMIzZOHR3XNCJzxmZkEO9u5fD1/APQfNuFyABL626o1PXHOwZe3XhgPAhDNbXHMwkzGwZUtDwaitrS07Pm34eHRODo4/o7loDjY1NaOhoTEFoO+Wj0YVzcEjj9/gmoOtra1/+WTRwKI5eMxpjaWmYd6laeowwzRfj8cS1787q263c3Dor1bX+bzeh1RNG5RJZ95NZ9JXLf3NQfs8Bw9be76+pP5ve5iDF5dXlGGD14usHERs/Qb0+OzwyV3MwX8VycG187eO/YlzDm5odM/BmesgszqKxD5sX5n4ODYgOeO0XTk4aZ17DjZ9hngqBggBVVcAISBNaUpTfq/9mROeG/n4pk5ycKlzDpZ4EagOoseJPaW/yiUHD8rLwZezclA30G9gg+MAxgDOerPbucVzcMWw0R5NfWZgXY/eebcOorktOnVmxWud5uDcNUO9KdM8SwGqEobx8Mn9P9xvcvCAuAy2N0hTXpwdCgAQLAvmFEcA4PF7BhoZ43cA8h9udhjsUAAA0zCxbtV61PfrDa/DsJ0AAEOMgi7n6arekjYczyezs/79ZwDfAHBy/kKqoiHoDaE994IMdFXbkL9sWd3sTPO68edKKZcJIQouv4YDETS2NPy5s+IIAEb2XNwM4LzXPj50qdfjuc2j6x4pJVqj0fnpjOF4I2u2M6rn7QBwWWfLdeb2Pu+tAzDx827n89rT4ggAPuz/YtPgld8c6vOm/qiq6qGGYXycSKa+19XiCADeP/iuZ/utmPR9n9+TcxI1DBNCKdqSuNg0TUNRcvs1CyGgCKCjcco0pTQM86zs4sj2BoA1AA7Om45ISdAqkKQBw9h5z9Hl0a9f2DFk7WtOBySEqIy2Ja8GkEJeKABAKp1EKp1cVVdR9zis4VfzTRy7cJsy96hKEwBK75jtATAFsII3Y2QQS8YQ9BXcvAtYzzJxDIaDfvqeDuAhRSgXezRdyS+OAMDv8RUcb74hZ68e7NO9C7y6N2gfz12Hnbfu+0ueqnu0s3WJvihSOuSgEkT+37lHeAYasms5uP6Tdejdvx5ev3MOCg9GyQTm6X69JR3f8xzUNBWhUBCtrbn3Nmq6XpCDs6eWZcaf0eyag5FIGA0NjX/urDgCgMWv9mwGcN6hR3+81OPx3KbbORiNRucbRqbTHJw3rXqv5OB7v+2zX+TgnhZHAPBh/8lNg1dePNTnxR9VFYcaBj5OJPG9rhZHAPD+wd98tt+KKd/3+YN5OZiBUJTiOZgxDUVzyEFFwIAVhGbKlEarcVZ2cWRzz0F/iVUgSQkjtbML6eXRZ7/eeQ42x9xzsCWJVEtyVd3pRXLw023K3IPsHHw5LwfTKmJRD6xb1Qq45+B7R+iAeEhRcLFX1/PHVQEABH3eTnPw9dVDBld5fQvKvVYOxjKZuxavO+z7R9Yt2S9ykF3sbNFovCr/apqiOQ/koWrqtZuvOuobeZNHK6aAbqjQDQ2KqcDIGPhs9YZ3YfV5LWTt7vBeFT3G+XTHFradwVBywmsSwKVSSscThU8rXF8I8YLDoiirm70WcH4St2Fdq/2t4/G6mND/w7s2Nm4NNLe2jvhsS0PNCQM+OubUoat5aXI3Le/3r1WLez930sIef69b3Pu5E5f3+3fh4+A7IaWcGG1PLO/43jBMGW1LXNc45q9L3NaZX31JJh5PL8+fnk5npZYN7AAAIABJREFUYJjWiE6ZtLk5Gc8c137ijQU3Jy+t+5oE8LjTtkNhf/7wp/dHv37hzpayRbV1n5mm3Ob8XnBPqCLyB5fDlgAu1lXd7SF/3QAcnvX9rXnfozWW1aAgARj2S+KU0c80FDzUsubHC0IScp2qqJcKIZSMWfj8CgDQNb3k9PtTfR1nAug2cYFQhPJKR3EEAJqqKQGP/y/HXLr1V8dcutW5PY/oCxaPRQtyUHX5mKAK9dqj3tpckIPCp0At16FV6FD8Vg5uWPmZew5af+2H9xjWa5wvUjwHX3u+pHgO+hxyEM45OHtq2Vq45aCx+zn44Vv979q6tTHQ2to6oqFhS81HCwYcs/qdoczB3bS83+RVi3tPPmlhj8l1i3tPPnF5v8l7mIOtWTmYkdG21usax0xyz8Ge1Zn49nhhDkbTMNJW97hMU3pzcm38uPa/nliYg/fXueegN5z/OIz7o89+fVcOXlT7mWmYLjko7wmVdZKD4c+Rg83ZPelMADFYg/zJU0Y3TCnMwQUnhqRU1qlq+lIhoGQcnmcIAB5dK/lO6nTXHPzdgm7CqyivdBRHABDQNKXWH/jL5q3H/Grz1mO+9BxkgWRL/f/27j0+rrJQ9/iz1twyuTShaVNaC7UYipACBgotTWsroIXUFm9UBUXFG6DigY9yULZ7789xszkKRwHd1XNUkMtBDlXBdlPdCAKbFopt7cY2BtrQNm3a5n6f+7qcP/I2zWRmkhbCTX7fv8iaWTPTD8l65lnrXe+bzszu7s6+ApOO5x9XbNx/6Or5NYd/CHj2ZSEvqIAfUMC3FfaCCni2MunMU5Iu8OXnXjY0/SsYCFonVL5D5dGsE1mehs5IDCt//xOHXM/5Zr4P43jZE7CkMqmGeZ9uuaPQh5/8zqd+FUvGcg4WyXRi7YK61rzrPIzl4/MPustO27nl0nNa2o51X0ycprk/Su0+48en9/XGzurriX25vzdW3nzW6u+Nt5/juCtTaWd4fL/jeurqHtwh6VrLsmZ0LPr2jN7zv5N3tXPjHj/PeF3btlVWNnwf6J8kfWP0c1zHa8r3gpZkVUyvDJdPzzuU+fbE5fUbnpk/Za8KL/K3XJKm3PHMVeGS8A1F5VGFyyKyzQ23/fH+oeGDnqSkZKUtWWlLSikiTznTsYYCoceDdnB4ka1UJq2Mm3cSKklaWegBSZ8uCkWmj94YCgQVDUVujgYjTy/5YnfZGPsDr4lMJj27vy/7+2g6997zke6f/9yh4Ry0ywKXBaeEFCgJyC4OKDglLLs0cCQHvTw5aK43BMNB6x1nnKBJx2d9J8vJwSd+XX7Icdz8OeiMysFUqqFlx7yCOfjUI5N/FYvl5mAikVzb+uKCY87Bg3+b7+7882lbWnacQw6+gZrmfiq1+4wrTu/r7Tqrr6fzy/29XeXNZ105fg7GnZWp/vSRHEy56mrs3iHf5OCNi2b03nb+K8vBouFD+jHmoGVVTK0Ml08tkIP31G94ZvZR5ODjz1wVDoZvKApHFQ5Fhq8K9/cWmUmdUpJaZFntsqw2SQcjUio3B0Pxx4PB9HB+JdIZZZxXloNTIkW5OWiHFLWjNxfZ0afbO5e8oTnIPUjGmlnWTkknFxcXaVJ5qcLhkCKRkCpPnKJguOBIxCZJ5zYdaqr05e+0Ro3k9OUrFcx87P2/HvhNy/+cd458PW15VlSSfNuXwv7o+wjVG+tVe3+nJG09/9a+vAuctT26cEtROHr24Z89z1PHQKsybmaf4zq7Mq7z63mfbim0ZsGwXdvnWuFg+N8jocgSybKT6cS6jJv5xMmn7+CX4m3ozD2rbdfxrrUsqySZTD+8a+51hQ64ec19+Y9bg8HAWaO39/YMqKOtd7ekc2PLPpNzs+/pu5ouLCoO/nHk/UCe56u/OzE8G1+8b1Dd+4cnMNopqTZxeX1ckhY/3/l9STlfmHzf39b0wsubJX1p5Gv7vq/UQEq+6+mk40/aVeQVnWz52X+IvuV3Wb41deOVVb4kTf3qxs9GQ8V3hwPZE1dMn1yl40pzTrJJ0tNrrw0vHb1xWv2myZJenFk5Y2r0yO1mKg4VqbyodPieqLSbGUg56em/X11ScA5YYKJZ967ZKenkomixSksnKRQKKxSKaEqoUkFrnBy8o6nS9/2d1qgb+3zHV+ZQ6mMDG9//m3lXtZyjgJ62giYHM778mA6PphjWe6BXnS+3S9LWvr3n583BhcvbtkSjRVk52NraoUwms89xnF1OJvPrlh3zxs3BuYt2WeFw+N8jkcgSy5KdSCTXZTKZT+zYcDI5+DZ05uY9tptyrrVsqyTZnXx41wfnHlsOfuXlrcFAMDcHYz3qGGgbysGHluXm4J27Lywqi2TnoOupv23gSA4ODKr70KgcvMfk4J4xcrC5QA5mUvJ9Tyed0r6rKNp8smVlRu0b7rKs9NSNVTcN5eDGFZ+NFnfdHQ5nx9KJVZM1pTxvl3n6ofDapaM33rJp2mRJL148Y+bUadEROWgXa1KwfDgHM156IOmlppdN/v0bkoPcgyRpzSyrRFK1JMXjScXjRyY48QLWZce/s+pnlmXlu1mh2vf9ByUVjS5Hh1m+tUWSZt64ZXPL/zp7pu/7v5O0qNC1u4qSCmVcRz2x3ifzP0NKu+lz3JR7e8AOXOz5XjyRjj/oeM79NR9vyhlrPRZThJYfyz74+/XC7Gs8Sbe/0v1TyfQjwdJoTjBYQ0fdS/KVI0nafnL142c0Nd0aigS+aduWXMdXfDCdtWZxcXmpkgMJxXsHPUmfPVyOjEeVJxgsy6oNhoK1ruOO3q5gOKBMwns2HAjfZ7nWT3L29a1KDZ39+t3Ur26skbTa89yciVoH4oOFCtKilXemK9deGx79b75Z0tTO/m7NrJwhy7JkycoqR5IUDoTKPM9bqwKLBQITzbp3zXAOJhNxJRNH/sSs473LqkqPHzsHbRVZXp4cDEhWaCgHt/x05uazr2iZ6dsmB/NOti1VvKNCTiqj3paewjmYTp/juu7tgUDgYs/z4vF44kHHce5v2lxzTDloihA5CEnSC+fMfnU56CQfCQZKC+dgnnIkSduvPenxM36059ZQNPhNO2DLzXiK9yWyc7CsVMlYQvF+k4P3HGUOBoK1rpcnB+2AMq73bDiSuM+yMrk5aKWP5ODGFUM56ObWht7BRKGCtGhVemXlQ+G1eXNwa3enLpoxU7bJwZHlSJJCdrjM9d+4HPy7vYLUf9GFiyT90JJV6cv/U8ZNf7nyj/+Zd7DkmlnWOVL2ImNGTNKkRfXnfkDSeuVc7xnSM9ijroHc33lPXvuSR3qmjdzW8oOzgxqaqee6Qp8942a0p715+fm39hWa+hF40zlh68PR0tJoe6QofHjRRvm+r4623usOzv/ouIFz8guNH9DQTaF5j7SxngH1HOi8LXF5fVYILH6+MySpQ1JOU2nb166BnoGc13JSmUwmnjnltBNO61RSfQVOcOw6tKf13IGegWclnWrJUkm4dORU+PJ8r6fmxDlFlmXlmxL1irXXhu87/MO0+k3nStokcxwpiRRrWsU0RUMRTSmpyNnZ872UbdkVD/1Q+eckB8bx4/4LF9nSD23LqnR8/0/dmfSX/7Eyfw5a964ZMwfPPXnR2Dm4tUddG/LkYMpr73l4SVYOnn1Fy/g5mMqo+fk9y/v2nk8O4i3jhCu3Rksjpe2RUFF2Dg60XXfwl/PHz8Gbx8nBvgH1tHXelrhnVA7uGSMHO9s1EMuTg24mk3Eyp5z2nv2d0oE+y/Ly52Br07kDA51DOWi5KiltUyBwZFid54V6zp4zvWAOPhReO5yDt2yalpWDJxSXaPG0aSoNRFUZnpKz8+Ec1KSHXvccfF3vQWqqufDy3Wdc1LrnzPr47tOX7X7p3Us+0zinbkKvYiWW1wdi9RfdErRDz4QC4XnBQGh2KBD+fCgQ3t9+wcK8p3olnV5g+45Lm31v+k+e/4OkGwu953Glx6n0yN+CpKHhdb6Vu8L1zOu3OjOv33q9pM9qaGaSHLYVkKQNhd4PeDPaf/aHE7FYcmlsMPFiJuM4yWS6v7dn8JqjKUeStOvMUx+TtMj3/UJT0/ZI+sfRG5+ZPyUj6T/y7VAyKXcdPN/35Xv+rb3//X17nr1s2oBs5V2sUdLJkeLIf0g6VRr6m46lB5XIJJRyUoqnY13xdOw0y7LyvrdGjL+eVr8pqKHpiYcDKJaKa39XiwqtyWRbdkTSRwu8Nt6inthWc/l/bT6jdcefz4z/ecvpux/c/u7PrG6cM6E5+ECiPvDL2EW3VARDz1SEwvMmBUOzJ4fCn58SCu+/of3Yc9C/4lLv+fOmj52DZx+n0lNG5aDvS66fk4Nb753pbL135pg5GBiaQZYcxFvK/rvOTsRSsaWx1OCLGTfjJDPJ/t54zzVHU44kaddNrzAHZ4+Rg9ECOej7t/Yue9+eZ6ddMSCFCudgpPhIDvoBxQanKZGoUCpVqnissisem3xUOXjLpmk5Obg/HtOjLfvVm37z5eDrVpB2n3HRl4OhovsDgdA02w5EA8Hw7HC4+JeS9jXOqfvXxjl173q175FYXv9OSU/aln3j6PVNgnZoumXZz7ZfsDDnpjBJZxR4yZELvN2qAitiS1JVRZUiwaxpTG9d+nDP7wo9f+b1W++R9F7Xc3OWG0+mEw3n39rXn2c34E1t31kf2rqrZvmpDdUfCL14ykXlzbWX5Fy2H8uuM0/9q3z/HCed6Ru53fM8ZVKZKxOX1xdaIyHvwT1aln1Cy/d93027qzu/vvimw9ssz/qULz/vavXllZPOHTnVvy9faTelpJNwM17mktYfLWiVVOjv/KKVd6YPHxSu0dAUyFkyTkZ7O/atd1yn0DS2VxfYjreg/9p8xpdPSoXuP84NTCvz7Og0Jzi7JhH+pXztW904519XN8551Tn4QGIoB8O2faM9KgfLg6HpYct+9ob21ygHL6xSpCo7B3vWLi2Yg1vvnTmUg05uDib6kw19e88nB/GWs++us7bu+t81pzb8W3XoxZ+cUt78i9pjy8GbTA5m8uRgOnNl4p5jzMFonhz03NWdF47IQSv1Kd9X/hycVHXuyFVAfD+gdGqSkonJbiZTcknrgsfGzMFV6ZVj5mBfJqPftexd73hvrhx8XQpSc+2KS2w7uHp0abEDQdmB0HRJ35LU1Din7onGOXWfbJxTV3hVuTwSy+utxPL6z0r6q6TF+Z5jxvqfJunZ9gsWzhn18OkBy1Y0EFHEzroJezgYpv/keV9DaxXknSbStmxVVVQd/nGXJeufxvvcM6/f+nwsFT87noo3Hx7qGE/F9yYyScZD422rqbamJdEfnx3rGVibiie7koOJnQMdfRd3LKt7ZIzdfp9vuHAgMPKg7q+1LOukjq/VfWXkczZeWdVnyfp2vhcNBAOqPD7v7EHf7vhx3Ubz349Kee+mKE0nMx+eVr9puvKvUSFJcdfzrgnYgZxZjYy6VdflntmvWdQUqlnU9LmaRU1rahY13VezqKnQiul4k2jeVHtJhWuvtkeNUJvkBTTFCQzn4OrGOU+sbpzzydWNc44pBx9I1FsPJMbPwaA1lIM3tOfmoB0cVKR0v8LFrZI1PBJvOAefP2/62DkYtFX1/hE5aI2fg1vvnfl8vCt2drx3RA72xvcm+xLkIN62mr5T05IYjM+O9Q+sTSWSXclYYudAd9/FHbe/ghy08+TgBaNysOqmPstS/hwMBFU5eWa+h77dUbdu3By0MukP37Jp2pg5mPLcawJW4RxU/6qcHFzfVBNa31TzufVNNWvWN9Xct76pZkJz8DW/B6m5dsVKDY2nDOV7PJUckJu7SGq3pPsk/fzUnRtz5qUfKbG8foqGFo/78FjP831fg6nhMt4pqb7qiWc3r5llWUV2uK88VFp2uMA5nquudJ98+e+7tNl/auTrHLp6/omStkiamu999nfuVyqTWrL4ka7/zPd4ITu+Wz09nk7Ezv3uAc6YAa/AvD/tPxgtiWadGU/Gk2rZdaBJ0tcOfWn+HwrtW3dXe1DSC5JOG/2Y7/na29isTGr4OLVe0oqOH9cNh8HKO9PPSMpZoX2wN67Og939yVhqUiqRUjKeM4zgxrb1C7636jqVSDqgPOPHJa1+6If6iiTVLGqyJH1Q0m2SRn7B9SR9rGFD9cOF/o144zRvqh0zB7cUJ9UWyrk1aDgHrzl155g5+EDi6HLQ9X01DPYd/hbTKan++1XPbrbuXWOFSw70lU7dXmZZQ4+66RL1HTpPvhd+n3/FpU+NfJ35zx0aOwcf3K9UW2pJ14OLjykHqy/cMT3RG48d2HIuOQi8AvMa9x+MFo3KwVRSLa0mB5eOkYPtNxfOQd/T3ua/KnNkSPhQDtatG87BVemVeXMwEB9UcXdnf2kqOakklVJpMjn6RsYbv7Wg7XvqXzVmDmrSQ1+RpPVNNWPmYH11w4Tk4GtakJprV6yQ9BsVCAXf95SI92n0HJ+hkBQMHX6O+i1Ld1uWfivpuVnbNg5/S0ksr6+XdJeGFsMqyPd9JTIxudlrBcUkffSF5h2piB16cvTVrZiT1IATm3Jps59z1+mhq+e/1/f9p0ZPZypJB7oOPDjvoZZPjvV5AEy8ueuaFpVWlDwZCoeCkuRkHL/rUNdPB3oGrzv0pfmp8favu6v9Yg0d9HP0d/erdW+bJLVIqu34cV3Won4r70x/U0M3nWdx0o5a9x55aiadUVdrt8zMen+TVNu2fkFaklZdpzsl5VvpfUDSjIbNTSdJ+oEKz+izoWFDdd4rB3jjNG+qHTMHU5avp8rickanSXYQ9suy7pZl/VbSc9fM2jacgw8kji4HPd/XnkRMA25uDv70L4tToeKOJy0rO4uT/bMU66qZ4l9xaU4Ozn/u0Ht9z3/KGj2OT9KBhw882PL9eeQg8Dqb+0LTotLikidDQZODjuN39Xb9dCA2eN2hpUeRg+03F87B/k61tjVJh3Owbl1WDq5Kr8ybg5bjqKjzyC1VkUxGM7u7FHKP5OC3FrQN3YvYv2rMHFzf3jBuDtZXN0xIDr5mBam5dsUHJf1WBcuRr3RqMOfqUTAohSP59pAk9Ul6zLatxydXlS20besz430O13OVzMTk+blX/nzfd9p62lr74v051w7TnpO5YFdvOGcno+lzc+8oKSq5duS2VCaV6h7snnHWg/uOeeVnAK/eyQ81VBSXRv+b7/tRx3F/9LdL5hz1lL91d7Vbkv4g6QOjH3MdVy//dbcracmIoXXDVt6ZPkXSi6O3e66ng0PruQxLxBLqbuuRpKVt6xc8fXj7qut0mqSGfJ+t42D3hvYD3Qs19rDo/Q0bqk8c43G8zpo31Y6Zg558bS1OqX301aOxg7BP0mOWbT8+afLUhZZtj5uDCddVczKmpJcvB+VsbD2+dWd/eU4OOqnyTO+FtxfMwbm/arqj5J2jcrAzlere1D1j381nkYPAG+DkzQ0VxUUmB133R3+rPYYcbL+5cA66jl7evWUoB48MrRu2Kr0ybw7K8xRtP5i1qTSR0Myebkla+q0FbcM5qP5VBXOwKdaxYWesfdwcrK9umJAcfE0KUnPtiuUaCoW8B1bf9710OtbiOumcf0RRkWQH8u01JBC0VT65WMHgGE8afhv/B4OpvgpJnx/rie29HeoZzL43LemmG97f1D93rP0arzjljpJIyVUBOxBOZpKHHNdZeco9jVvG+2AA3pzq7mo/3ff9v46+OOw6rnZv3/Pt9h8tvKXQvhfdGusLR0KTRm5LxlPqbMk+triOq9Z9bfe2rV+Q88V21XV6WtJ7R29PxJLa/bdxM+4XDRuqvzDek/D6aN5UO3YOyvdeiKZbDoSd3DAfJwjtQFAl5ccpEBx38jvf9/0fbB/sq/DGycE/t0/Vjp7s++3SsaqG/ou+N2YOnvKTxjtKZpdcFSgOhJOHkoecAWdl4xdOIQeBt6i69pvz56DraPeerd9uX7i2YA5+PHZRnx8KZ+WgnUoq0pN1sUlB11V1W+u931rQlnuCp39V3hzsyyS0sWf3eB//F/XVDROSgxM+SUNz7Yp6jREKklzLsla5TvqdkhZI+rmGLvNLyllQO4tlWaqYXHI05WifpPOL1//+G5K+KOl/jPXkqoqpmlp+ZP513/fl+d71473Jqfe+9PUTf/aXyO623fa77to+g3IEvLVtvLJqe6w//tzo7fGBxD7f97831r6pWPpzruMOn6J3Mq762nPXnvCGVuzLWdDPyDvbUbSkSNGSwpfWJW2UNO4xC6+P5k214+egrFUHws47lScHxwpCy7JUWnFU5WifpPMvL/79N7yjyMFzqzp0ztQjVzt935Lnhcf9nXrp6lO//peLTozsXr3b3v7xd82gHAFvbRurbtoei/fm5mCif9wcDKRTn5N7JAct11FooC/3ed6x52B5KKryYL6llo58dE1gDk7oFaTm2hUXS3pEY4SCpE/M2rbu1yM3Ns6pK5P0cUlfCAQ1P1Lge0CkKKjyyfkW8s5yn6SvRR9dn/V/pP2ChVdL+jcVWOROkg50HdRgYlCe7/3Lkp3d3xnvjQD8/an+5+3B4rKSp6OlRQskKRlPNcT7Y+ft+qe5sfH2XfpP3VMt27rFSbs18YHEHN/zs07J+76vWH/suzvvOy1nHQtJWnWdIpL2K8/N7z0dfTq4t2P05i4NrYnxfxo2VDujH8Trr3lT7dHl4IJtWTm4unHOcA4qEJyvAkEYihSppPy48T7GfZK+dlk0OwdvaB8/B584MEPNg2XyvOC/dC/5GTkIvA1Vb/98sLik/OloUdkCyVIyNdgQj/Wet2vuz8fNwcu6l06VZd1iuU5NIBGfY/nZOSjf13Gx2HdvP21n3hxU/6qCObgv0aMdAwdHbx7OwfrqhgnLwQkrSM21K96jodVxC53mdCV9cta2dWvGep3GOXVnhkK6LRjSUstS1imyouKQJlXkLnhldEu6Kvro+oKv337Bwo9IeqDQZ4wlY2rpPLBN0vzFL3XmTK0H4O3j3Tc3WpXTK7XxyqpXdJA866v7bEk1qUTqi77vXygpnU5lbmv6vzX3j7XfR7/m3h4IBr4+ent8MKk9jcPD7DKS7pB0c8OG6kJrR+B11ryp9uhycMG2MXNwdeOcMxUK3aZgaKksKysHw0VRFU+qKLRrt6SrLosWzsEb2sfOwYOxYv2h5YRtkuZ3Lr6bHAText7deLVVWTlTG6tuekU5+Jl9Z9mSaqKp1Bdtk4NFmfRtP6hpGjMHM70fvT1k5+ZgbyauZ3v2DD9NJgfrqxsmPAcnsiA9JqnQHOSupMtnbVv3/47+9epsSfMk1Uu6WNI5lm1ZU6aVafS4SM/zn7Ft6xPRR9fn1MrR2i9YuMT3/XWWZZWNfiyeivv7O1res/ilzr8e7ecEgIn0oaszc0KR4Es5M2v2J7T3pQPS0NCtGxo2VL/8Rnw+FNa8qXb8HFyw7ahzcHVzbW4OWrY1aUpVTg76nveMZdufuCw6fg7e0L5wie9rnWUpJwdb41F//f4T39O5+G5yEMAbItb9oTnFgVBODnalY3q+d69kcrC+uuE1y8GJLEgvSzopz0OepMuOpRzlf/26KknLwkXBK8omFZ0fCAZs1/EcJ+P+PBINXRN9dP1R/0PaL1h4huO6m4OBQNYQiO6B7jXv/vOLq17N5wSAV2vZZwafK59cuuDwz77v68Dutt193YNXNmyofnqsffHGad5UO3YOHkM5ymd1c22VpGWhcOSKorJJ5wcCQdt1Hcd1nJ+HI0XXXBY9+hy8oX3hGUknsLko6Gbl4I7u49asf/ej5CCAN9Sh9mXPTS8qz8rBF/oP7D6Y6ruyvrrhNc/BiSxIj2roLNdInqRPzdq27lcT8ibD71VnHTeltCw+mBo8/rmn8q3cO66m8+bODdiBR6OR6Ime53ux5OA627I/8q7ntr+i1wOAibLiS8lgMp6+v6g4vMzz/HisP3FPx8Huf2jYUM3x6U2seVNt4RxcsG1Cc3B1c61VetyUslR8cPCLxz/3in4vPtq0bG5RwH30+GjixIxne/tjJeuCtveRNe96jN8zAG+ovq4VwX4nef+kYNEy1/fiXZnYPbtiHf9QX93wuhyfJrIgnSbpTzqyWN2ApC/N2rbuwQl5g9fIM6dMCS5+qZObmwEAr0rzptr8Obhg25s6B6c887lg5+K7yUEAMCZ6FrtJki6VFJT0u1nb1rWOswsAAH83mjfVZufggm3kIAC8xbwmC8UCAAAAwFvRhC8UCwAAAABvVRQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAhYXnNAAAC30lEQVQAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAAYFCQAAAAAMChIAAAAAGBQkAAAAADAoSAAAAABgUJAAAAAAwKAgAQAAAIBBQQIAAAAAg4IEAAAAAMb/B3+VY6DHTj+cAAAAAElFTkSuQmCC\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:35:09,654 alphafold2_ptm_model_3_seed_000 recycle=0 pLDDT=69.9 pTM=0.318\n",
            "2023-02-13 10:35:10,138 alphafold2_ptm_model_3_seed_000 recycle=1 pLDDT=70.7 pTM=0.319\n",
            "2023-02-13 10:35:10,621 alphafold2_ptm_model_3_seed_000 recycle=2 pLDDT=74.6 pTM=0.349\n",
            "2023-02-13 10:35:11,109 alphafold2_ptm_model_3_seed_000 recycle=3 pLDDT=76.2 pTM=0.362\n",
            "2023-02-13 10:35:11,113 alphafold2_ptm_model_3_seed_000 took 2.0s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": 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AIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiIiIiIisrFAIiLaB514XqN+4nmN3j29H0RERHtC4ysn6o2vnLhLclBIKXfFeomIaCcdcer6Saqi3u3WXYNVRY2pitophAgCCAJw281WAbj5vX/l/9+e21MiIqK+t/7RIyapqnq3y+cerGpqTNXT52D+Oe/1WQ72aYFUUzl1NIArAQwHsAzAH0oWzWzvsw0QEe0nDjvl66o8X84cVVWzaS4BnPHev/Lf3MW7RT2YUVOZkoPTSxYxB4mIeunrhw+ryinOm6Pq2edg/jnv9UkO9lkXu5rKqcMBLARwBYApAG4E8GFN5dT8vtoGEdG+4rCL1/oOmbZK39HlXZr+aJbFEQAIANN2dFvUN2bUVDrm4IyaSuYgEe131r5ymG/VrEN2OAd1r+vRLIsjoI9zsC/vQboeQHIIHA7g0ZrKqaIPt0NEtNc6ZNoqcfR/bZhXVFDYXjagNDLhl9vaDr14zbm9WUfJ2MU+TdGG9HLTnl62p76XNgdn1FQyB4lov7Bq1iFiw+tHzyv0FbWXBsoi296a0LZm1qG9ysHF15f4NH3P5WBfFkgHpZn+fQA/7cPtEBHttdwu11MFeQWnaKoGIQR8Hq9/QEHxy5N+VXd0L1ZzQkck1Ns31HN72Z76HnOQiPZ7LtX9VIG34BRNsXLQq/v8xf4BL9fNmdSrHAy1dOyxHOzLAun9DPPur6mcOqIPt0VEtNfJP32+4vV4f5g8XVVVoWnaW1U3tJZluarTGloaEI5GsmkrAfwVwEO92FXaNTLm4IyaSuYgEfVr85/NV7yaQw4qqtAU7a3Wd6qyz8EtDYiEwtm07fMc1PpqRQAeBfALAAUO83wA/lFTOfW4kkUzs0p8IqJ90DghFMf+1qqiFgJ4veqG1hPm3hFs62E9U6JGDN/UbESOLwC37oGEhAC2FATzHwDQar9aACx671/5NX17GLSDeszBGTWVx00vWcQcJKL+apwiRMYcbH2n6oTgyXN7zMFYOIqNn32DQFEOPD43pJSAEFvySwtScjD/nPf6NAf7ehS78wC8nKHJn0oWzbw+2/VtPOokNRYL+4d99mHLzu9dz1YcPVR4g/6xBQOLfiyljAghHi16/v11u2PbRLTvyz99/oyBxSU3DB44KFOzNwCcO/eOYMxpZsnYxRUAvkmz7G01S8ffvHN7SbvSjJrKHnNwesmirHPw4o1HqUos5n982Ge7JQePWjFUuL1FY3MKDrRzUHl0TtHzzEEiysr8Z/NnlAQG3jAoZ3CmZm8AODd48lzHHFx8fUnGHBx/Z80uz8E+fw5STeXUvwL4rwxNTi1ZNPNtpxmNk8/XAUw0jNgFkPLHqqb7pDTR0d7S2tpSt1BKcxmAFQA+C0dCa4/csNrYmX1dcfRQBcAhACYDmOTxe08afsSofE23LqzFojHZUF373wNmfsCuK0TUo/zT53+lCGXEyOEj4Pf6MjV9CMB/z70jmPIPuGTs4ssAPJJmucqapeM/6oNdpV1oRk1ljzk4vWSRYw5e1DhZBzARhnGBgPyxVDUfpITW0d6qt7YsFFJ256AIR9Y+fOSGncrBo1Yk5qDLk39S+fDv5Kua9XgRIxaWLQ2r/3vegBeZg0TUo/nP5n+lCGXEiMKR8Ln8mZo+BOC/gyfPTcnBxdeXZMzB8XfW7PIc3BUFkg/AUgAj0zSpBnB4yaKZtQDQOPn8QgDfAXAWgNMA5Dgt1NZaj9aW+u6vDSNmdEZCr7R3NP9gckO9YwWazoKhBW7drT/n9rnPU1Wle/zAEePGwONPfFMT6QxHv/5stX/kgi+jvdkGEe1byn+9RDFM40+aqk8yzNg30pQ3b7278j/ZLp9/+vxRAL4AAF3TMXr4SLhcrkyLXDv3juDdyRNLxi5+CcB3Hdo3ASiuWTq+V//vaPebUVOZVQ5OL1lUCwAXNU7OKge1tla4WuMuJBmGITrDryjtHT94cHJjr34vLlxQ4G7S9edq3e7zonE5OHjEuXB7Egfii0baotVfz/MvHvkpc5CoH1vycrliGMafdFWbFDONb6SUN1eevzXrHJz/bP72HFR0jCweDZeaOQeDJ89NycHF15dkzMHxd9bs8hzs8wIJAGoqpx4BYAkAh++KhBB4T9PwlhA4C0AlshgswjQN1FSnXuVvaqlb2R5qOfHUlta6bPZtTpG/0J/rWxTM9x8cP13VVIyZMNZxmcaa+lPyn33nnWzWT0T7nvJfL1EURV3t9waHd00zTVOapvEHTdNv++qWET2+Mcw/ff6NAP6362uv24NRw0ciw7OMJIDz594RfKlrQsnYxTqAOji/QX6hZun4qVkeEu1hM2oq0+agBBAS4r1vNO0tCJF1DsI04aupTpmsNLWsVNs7Trz/1Oxy8Po5/sKv/b5FXwcTc1BRXRg25seOy7Q2fn3Km/lPMweJ+qklL5crqlBWB73+hBw0TPMPuqbdNuK0r3rMwfnP5ifkoEfzYmTRKMSdg0kmAZwfPHludw4uvr4kYw6Ov7Nmt+RgX45i161k0cxPAdyQOFVCUSR0HdB1nCgE7gAwIft9cB7pz+cJjAHwybyc4FE9rWFOkX8MgI99Qc/ByfOUDA9k9AZ8edntIxHti2JGbFp8cQQAiqIITdN/B2DZyFtWVfa0Dgl5SfzXoXAn1m5chwwnoYSU8oXjL922ZPxF1U+Mv6j61oEVA273Bjw5uluHECn/8+b04pBoD5tesiglB00AtYqCtbqOb3T9RAjRyxx0Jn2eMQA+uWpezzl4/RwrBzf7HHLQeXwRAIDbW8AcJOrHYrHYtPjiCLByUNe03wFYtuqtkT3noEjMwc5YCOsa12bOQVO+sO2p45dUPzT+ieqHxt86oGTg7R6vN0fX92wO7pICyfYXAG9Zn0poGqBpQOqxZicUcr4/VSgKAFQA+HBeTvCidMvPKfKfA+AjAAc4fMNhxNJfrfP4vVk/xpeI9j1CiB9kmD1GFcqHY25bN2v0rWuKnRrknPn2YQJiePL0lrZWVNdunZ9hu8Kb5z4GwMUAbvIGvDcMrCjBoAPLMGTkYBSXF0JRu/9Ns0Da93TnoASwXtNQq2mI7mAQaqGQ43QptufgVfPS5+D1c7bnoOGUg0b6wfVcnjzmIFE/JpTMOago6ofr3h4za83c0Y45+PY/cw4TMjUHW8Mt2NpWPT/DdoV7oPcYCDsHvd4bSkoGoqx8EAYPGYLComIoyu7PwV1WIJUsmmkCmAZgm6IAyk5sqTPUitYW554Doc72rk89AJ6elxN8YF5OsLtLw5wiv5hT5P8tgFkAAgAQDqWGgGmYmSrc5CejE1E/EupsN52mK0JBQPcj4ArAr/vO8WneLUf9fuP3k9tJIS9Ot+5NNZv/F8Af081XVAW6N/WJC4oiEMgLoLi8CAD+U7N0/KZsjoX2HtNLFnXnYLOiILwTQah2hqC3Op8oVEKdXZ96ADx91bzgA1fN256D18/xi+vnJOZgUTg1B6UZhZSOfwoAc5CoX2vvDDnnoKLA7w8gEAjA5/Of4/X6tmx8/6jUHFTS5+Dm1k2Zc1BXoAVTr2ALoSAQCKCouBgA/jP+zprdloO78goSShbNrMEOPj1cSrk8Gg3/ralx652NDdWPS9P8t5Qy4T96R2cb2jqakhe9EsA783KCA+cU+f0A/gng9/ENWhvbEQkndqWUpmwwDTPd6TN2LSDqx1rbm5W2jtQ3n17Nk9B3WlVUTVO0mcf+sfqU+HZSyCqn9UpIU0C8D+B3AP4v7Q5kuKDgC3qhu7QFPRwC7aWmlyyqAfDTHRrdQMrlIhr9m6up8U53Y8PjQpr/RlIOio4QlLb25CWvBPDOVfOCA6+f45yDB7a2IyeSuFeKlA3STHsZiTlI1I81d7QqLaHURxN5PN6Ee2lVVdU0TZtZvejYxBxUdl0Oer0+aLq+W3OwLx8U66hk0czZtRPOfwPAGT007QTwNoDXAbxe8P6Lm5MbfHHQ4WpTS90FsVjkfsM08mNG2siZICFXwEQTFKT0szYNEw3VTdDdOhRFNCuacnluYfCfqqauAZByeRAZzpwtPX/w5bpL+y0ENGnKZS6P69pRf1v9ZQ/HSkS70Oh/rLrM7/Xfo+u6zzAMo72j/eGVPzzoqnTtJWTpltoNKM4vRV6wsLvfs6ak/osUQggp5RvH/rH6/CU3lr7qP2fOGAiMMoQBVSb2QjIUY0Hr66dEAKDqhtZpZsw8XtGUhIckSSlhRNKetQcAeAPeZdkeO+19ppcsmn1d7YRe5+AzBe+n5ODPvzhIVZpaLhCx2P3CMPIRM9K9r5gAKVcYQJOK1Bz0mCbGNTShSdcRU0Rzp6Jcvio3+E9F1Xudg4M/nne5pgd+CwhNSmOZy5Vz7epDDmUOEu1BZ646+rIyv3ZPrq76Og1pfNseeXjWQZ9kzMENtVtQml+MwkDe9hzU0udg9aJjzy+tXPLqnH/5x0DFKEMzoMaSctBlLDjlB60RAGh9p2qaGTGPV1ypOWh2Zn5igdeze3Nwl4xil6ym8nyPpuEbRUFJ/HQpUS0EXgPwGoB38+e/0JHN+ublBAcBeBHAsZnaSUhIVVrXyZwTZAWAc6bUtW8AAFw39RMATkPZPYo/z0x5psXic0ufKBiQ53RJ8UMATwKYefCjX7Zm2kci6luDH1s6bVBJ+ZPJo8eFwp2PL/3u4J85LSOmvVAHoBAA3C4vBhaWw+P2IccVdLpJtIsB4MKViz87HMB0SEAxVSjSujBvKAakME9sf3XK/K4FTrq6sRRCrNRcagFghUK4NYJIe/rrC9FwtLNuS31gwwdH7tTzbmjPur2m0rNJ074JKUpCDkLKagjRnYPP5M/PKgevmpddDkJK6FJCRdoTtCsAnHPnFCsHp+LWtBlqOtgAACAASURBVDk4Ezen5GDp4lefyMsbmTEHvxx5MHOQaDc6ZOlh06rKA0+61cSOYrWdscefGLzYMQdfeFR056DX5UZ5wUD4XB4Egzk95uBnNSu7c1CNKlAMOwd1A6YqT5zy3fb5XQs0vnZSqRBYqXq17hyM1IURbUh/D2Q0Gu2sr68LHHnbzj33rTd2S4EEAHUTz1cB3CMExgHYBOA+RcGH+fNf2KEdmJcTdAO4H4DjDzqeqZpA6u2lLwKYNqWufXvfhOumzgNwSkpLYCb+PDPh5rW5EwO/Kjtg4N0uT2qfSd3jQrAgF5pbN41obLk05TlFtyxIORNIRH2r6IGF5xTk5L88oHBAuu7D1y88o/hP8RPEtBfcsM7cJ8gLFqJiwDDDrbnTj08qpaz+ZktDQ019ocPsTQAq2l+ZknB5aNIV9UIo4nIp5cRoKBY1Y2YugMEABgFIuPk1GolF2praLlj11qh/pdsH2ndcUzdRNYB7YkKMA7ApAtwXVpQPn8mfv0M5eNW87HNQN02nLiMvAph255TtOTgVt6bNwZm4OSEHA3Pv/dXAgRPv1l3BlMaumI7cziB0QzNjirFcCnnOgqOLmINEu1jRwtHnHJrvefnYAb60OTijeGFCDr7wqHDMwcJAHoaVVhhud+Yc3NJa3VAfakibg1POS7zPt/7/JgmhiculISfGWqNRM5w+B2PRaKStve2CUb9ZtVtzcLcVSLvKvJzgzwA8AMdnLlkkJKQu40+f3QTg91Pq2hMP/rqpLwBIufEMwDz8eWZ338q5EwNXAnhgyMHl8SNMAQBcXjeKK0oTpkdC4Q4pZUneje+kdu4koj5R9MDCswG8WJhboBcXOA6y0+WXC88o/kvXF2LaCxUAvnFqmBcovGx46cG3q4pa4jS/y5ZvNqNha33y5DvaX5kyPaudt42/qNojTVne3tJRGY1EWxRVmfPlGyNSQoso3lXzes5BSAmPlPFXkW4C8Ps7pyTm4FTcmjYHZ+Lm7hwMzL33SgAPlA86NWV4cHfUhdKWYihxtzmH1UiHFLLknWPzmINEu0jRwtFnA3jx8AKPPq7Yl6npL2cUL+zOwRceFWlzsDCQd9nBg4ffrqqZc3BzyxbUhxqSJ98x5bz2XuVg9UPjPVLK8o729spoNNqiKMqcETd+udtzcJffg7SrndrS+ti8nOBnAF4CUO7URkBYI9QJtAP4yZS69nRVaGOa6d03p86dGLgMVhChMxSGL+BNaBgoyHEqmnyt9c03AvhtFodERL2Uc987V+qK634hhGjtaENRflGmLgH3TXijNrzwjOJH7K/L0jVsaqv/WFXU4VLKWUIIp7Pq1gqGlkNVFNRuqY2f/PfeHsfiZ0o7AayzX0RZuf/U1seumpc5ByEETKurXTuAn9w5ZcdzMDD33u4cDIcb4fUOSGiY0xlIKI4AwG24fM2eVuYg0S6S887xV+oucb8QUmxoi2BskRdKhhycXjshPKN4YY85WN/W9LGq9pyD5TllUISK2o6dy8HSKxbvFTm4S0ex211ObWldAmCshHQc4UJCAgIbARyXoTgCgJQh8QBASlkCAHMnBn4K4JHuxtuaEYsmdod0ed2OK9Zc+mGZjuGz3w+/a/0DR0S+fWSsXHffoa0rbh/2/zK1J+qPKhYs1Q/4YPkFwxauuK5iwdLcbJbx3T37OF3RHxB2RRSJRlDflHI1J9lfJ7xRO83+PG0wANiy5MbSdiHEWbDuEUmrZEgpBgzqPsH2WfsrUz7vee+J+sb9p1o5COmcg7CuHm0EcFyG4ghIm4PWPcSBufcm5GBz02oYscSTu+6Y84Us3dAy5uDw6Z/ddcRN6yNjb/lWHvo/61qH3bCCOUj7nYqlv9EPWP6bC4at+O11FUt/k10Ozj79OF1vfkAIKQCgKWLi0/oeL7r8dXrthGn25xlzsLRySVY5WBosQYm/+4TJZ1POa99nc7BfFEgAcGpLa42AOEUK+XrKTAWbIDB2Sl3mH1TMiDn2N5TSHPTu5LyLATwRPz0SjmLL+q1orm+BEbMKJSGcv6WqptY4TZ99iVd8dEPpU0UDC69xe1y6qqrw+r2BguL8p5bfesCITPtL1J8MXbDsyKAvp7Yof8DzhXlFfyrILWoYsfiLGT0tpymuO5L/7uqa6tHQnHKpP9nfJrxR+yMAZaquwV+Ui7xBxQgU5XVdBY4BqAOAJTeWdgL4HjINUQpgwKASeAM+YAfOmhHtrPtPba2BEKcImZqDKrBJAcbeOaWHHIwpjjloSjEo7917U3IwGm3B1q0L0dKyDoYRBgAoaYaDUE3nHPReMVuUXvPRU4W+omtcmltXFRVe3RvI9xY8dcD1y5mDtN8Yuuw3RwZz1NqiAfrzhUXanwqKtIYRX/yu5xx0tdwhlMTRUJfVh/B5Q49F0t+m1074EYAyuFSIgX6IA/IgSgOAlpiDpZVLssrBksAA+HQvsI/nYL8pkADg1JbWaFVz21lSkT+TQq6VQn4rFfmQVOQBU+ranZ80GycaDaer1JWinMLH4TAIkGmYaNzWjE1rtzwqpTxbUUXYaQUurzvlUuHsS7wCwD05+cGUs2SqpsLjcz/Y0z4T9Rcej2+m1+Pr/hvUVE3JCeTeMPazjQ+OW7k5bXdgCTnYafq2hlq0tLVszLBJIaV8puLw4ZcXVAyEvyAHLp8HvoIg8geXQFHVbfKp87sTZ8mNpVEAP4Y1Mlda+cX5APB8pjZEu8r9p7ZG/1LVdpYq5c8UKdcqUn6rSvmQJuUBd07pOQfDUTVtDhYWCeccNCNoblqFLZvfe1RKebaQimMOug1XSg56r5gtANwTdOek5qCiwq15mIO03/D4lJlen7I9BzWh5OSqN4zdeNOD4zbfnD4HpeKYg0tqO/B1SzhjDkLKZ+qOrLhcHFwAMcAPEXRBFPsghucDmrLt/Mu2Pz26tHJJdjno2fdzsF8VSF2qmtoer2puO6iquW1IVVPblVMa2mPZLGcYsZedpkdjURTmFAivy5Nu0SekxOUjHvvqNUVVU57Y17Wa+C9mX+JVATwK4JdCcT7b5vV5R2az30T7Ou+s2V6fx3eg0zxFUa8A8Na4lZudRshB1IiEnKbHjOjmhuaGkQAeT7ddIYRaftCgUYE8f8J01aXBm+dP+b+x5MZSA8ClsO+/cKLqWnX7K1O+TTefaHe4t6rt8fuq2g66r6ptyL1VbVf+eUp2ORgzVOccjKooKBTC43WaCwB4AjAv/2rUiNdUqWSVg94rZm/PwTT3Snh15iDtH7yzr/f6fIpzDqrCysHNNzvnYCTfOQejgc2fNXRmzEEIoW6sKB/VHAgkTnarEIXelP8bpZVLesxBTVGrp5zXvk/nYL8skHZU4OE5czvDHQldAKSUaG1rhBAC5UVlTh0HngFwWdUHbV0VdrpRhLqDYfYlXs1e7lIACIecx37XXVrZlsePcfxjIOpnDjaMjI83OBnAx+NWbj40eUbECBmd0cRHx4RjIbSEG2ZtumxcCMDPATybbsVCCAysGAi3L/H+Qc3tcnx665IbS00Avwh3hp9wmh/pDP8x04EQ7c3mBG6Y29GpJ+Ug0NjqhRACZeWK0wOVngFwWVvV1VnnoPeK2Qk5GIk5XnSCpuhlx9y2hTlI+4ODDSPjyNJWDm6+OTUHQwOMzo6BCdPCoQFoaRgz66txn/eYg1IIrB04EG3upPvoPZpjDpZWLrFyMOacg2Ejss/nIAukJI3NtZOaWupjoc52tHe0oK6hGpGo9Y/b4/IgP5jwMPHnAVwcVxwBQOqDkSwRAJh9idcNYCaAH3XNaGt2HvXUvun8pB09FqJ9yKj65tqe2hwA4KNxKzd/L2l6Xke0Bc2hOrSGG9EcqkN7pBmArAeAhWcUGwAuhvV350hRBIrLihKmSdN8J137JTeWyk9vHXppU13jY7Gode+iETNk47aGf359/+H393QgRHuz2sbApPomX6w95EJLuxvVdTkIR6xo83gE8vMTKqTnAVwcVxwBPeSg94rZqTkYYQ7Sfm9UfW2Pz0G1cnDzzUk5KPI6Wg5Ec90RaG0chea6I9DefDAgtXoAmFG8sMcclELBxqKkR2SYMm0OllYukUNP+PTSxlDTYzHTzkHTkA2hxn8efurX+3wOskBKUvrMklUdodbfNTbXorm1AdFY4tWdXH9O16cvAbio6oO25N/mtGfOZl/i9QGYBeC8+Bltre0wTcciHXB+YF9aS54s01a9MurHq1875M7Vr45m1wTaV4yub6pDQ3OPt0j4Abx49Oebbh+3cnPX/688ADBkDFEjDEN29wjoHo1r4RnFMQAXwvr7c+SJu4IUDYVrw+2dv+ppZ1bdNfqylsbmvG2bag6r31pXvPqeQ37Y0zJEe7slpb9Y1drh+V1tYwANzX5Eoom3PuTkdhdILwG4qK3q6qxz0HvFbMccbI+0wZR9k4NlJyzRRp2+6seHnLH6ztFnrGYO0r5idH1dDA11PfaGtXJw0823j9t8c2IOxgKIhgthxLq7y3Xn4IzihT3mYLt7+60ksj1aK1vDPebg6JNXXdbc2ZJX07btsLqO+uJDTl7dL3KQBZKzu2JGbIPTDPu5uq8A+GHVB20Jv8Wh+85Q4dT5AEAoHPK5FX2JW3GdponEBxJLU6K9tcNpMSDLYHj/wXz9w0eKLy8bUtZaNLD4ucIBhb8uGFD45ZrXx/w1m+WJ9rBRALCldjM2b9uEnh5gLYT4nREz149876vhAAJpmiUMV7zwjOIogAtM03zbqbERMyClNCOh8MvSlEM77z+jNZsdX3PPmJb1Dx7x+foHj+hxbHGifchdsZh0zEHE5WBb1dUJOXjGh6H0OdgW8ukB9xJXwH2a6k4suiQkOiLpbl3KLgfzx7+vFx//4eVlRWWtxXlFzxXmFv66MKfgyzFnrmEO0r7AysHNUWzeFMkiB/E7w1TWj/zqD1nn4IzihVEAF4g0OagZVg7K9sjLMOXQ86d2ZpWDY05Z03JE1frPj6ha329ykAWSg7Jn/x0LRTovdjqbFYqEvgTwg6oP2qKpS6Z/inltXfW9Qc0/Jqj5kKcHEVATn3Dc2ty2/S9Bs9ekAxAYtuXxY4alW+/7D+br7z+YfwmA1UUDix/yBXzd5b8QAvlF+f/1xcsHT0h7sER95LD1H4nBS2cdXrH8tYsPWbtw9GHrP/L3vFS3UV2fNLbUY/3mdYjFnP7EtlM1ZYg74PmysGwA4HyDd3PyhIVnFIcVRTkrHApvSp7XWNu8XghxZOPtk77X+IfJac9YEO0P/l12VawzhItNM/VNWigkvwTwg7aqq3uVg9Wba+/1FwfH+IqDCJblwVeU+J6uLdJqbcyE9TjbFgBtAAwMO+a2LWlzMH/8+3r++PcvAbC6OLfoIZ8nKQeD+f918GlfMAdplzts3nox+B9LD6/45/KLD3lr7ejD5q3fsRysN7B+XQSxaOYiSVXMIW6P/LJwQH6a0xKpOTijeGFYKspZ3nBqDg5sblwvhDjy+yc3fu/7pzbu1znIAimNES9+8W59S8ONMcMwAcCUJlo7Wj+tb2k4quqDNue7SdP3u7YeVRvHo7rgEt3NTSNm3AwAcAFCExCKgFCFFTUKLkhe37v35erv3Zd7tZRyDazRSYb6c1L/DoUQcHvcP+35iIl23JBlrxZ1dLR+m19Q8mluXtETqqr+B0DbYes/qjtq4ycrJ9Su+mJi3Zp3K7d9OTl5We+s2RqAg+OndXS2Y92mNYjGolsybVd3a/qAijIMO3wE/LnB5NmOD7xceEZxZ2dH+IDm+pYXOzs6Gzo7OusatjXeG+7oPKjmN+M/69WBE/VjX4z4xbsN9fJGI2adLTRNidZW+WlDvTyqrerqXucgIBNy0BX0QPd111OmYRo3QwJoAURYQMQERERYb/GiqTmYe8y7eu6x7yXmoDdNDurMQdq1hjy/rKijrePb/OKCT3ML87bn4Lz1dUct2LhywsraLyZ+Ufdu5Yptk5OX9c6+PjUH202sWxNGNCoz56AW0weUFWPYiKHwB33Jsx1zcEbxws5AuPOAopbmF32dnQ3+zs66gY0N9/o7wwd9b3wNcxDWtQpK4/BXv56x4OSi+/IDeceHo+F1R8/+dn0PT6xLe+bM6VKppqiIGNEogAsGDyt/BSqmC0Uk/HYLISBVOQ3A/3ZNm/NH/xSXT3tZ0ZSEtprm/OPUXa4MgUW08zRNe9PnC5YnT3e7fIV5OcWF9hC+o6Q0Tzyhft3dCwqHXxvXbBi63lQJdHXfQTQWxdeb1vxqxNDR5wJw7tNsv91yez0YMno4WuqbUPPNZsQiUSBNMADA5xcNjwE4v5eHSbTf+frwX84oWnDvfXn54vhwGOu+PfqX65E5CNPnoMPVKNWtIdoRiQK4oDx38CvoxHRhJuUgBGRnYg76x86ZommulxWRlIOqcw66dJ05SLuUpmtv+gK+1BzMcRXmDcrZnoOmPPGEr+rvXjCy0CEHFUCogDQAmIhGJb5eE/7ViNGe9DkICUDC7XFhyPBBaGlqRc3mWsSiMSBDDl47/HPmYAYskHpwwjt1IQCOfTWTRWNRt645/w92KpCklDEA55z+ROhNANjy1DEbEHeJtZuC7j+4129yn+Av9MxWNCXl6l+6gR58ft/mbPafaEd5PP4jU6cK5AQLEf98EyEUeNy+a05t3bJiXrDsGXvyaNWlQPeqEIqANCWinQaMsIloLLoCwAtSyhUAZiQ/K8WIJN4bnlOYB2/Qjw3/WYNoZyRtMBBR9upOuDr7HIxE3Xqac3KOOWhaORh66PQ3AeCYG7Y452Bsew66j3z9BI/un60IhxxMM9CDz80cpF3L4/Ok5qAAcgYGE3NQEfDkuK85dXPrinnlwe05qBVCdw2GEBqkjCEa2QwjVotoVNo5CDsHEzdhGNb9GF1y8oLw+r3YsOZbRCNR5uAOYhe7PiSlbE93U51hJI5KYkoTURk7r6s4AgAILHBaVgjhq37u2AGv3+Q+TdHEXKfiyN6+47aFIjKeOVs8v/Ty5UsqNi9fUlH38cJBr7/9am66m/1oP3L4188UjNv0f7k9tfO99aBiGDE1ebqiKFCVlMldnqxqqz4fAFRdOUn3WcURYIWHy6dB0UQMwLqPx5TLTw4ddIcZNS8zDbO7IjIiBiKh1FsgdJeOkqHlQIYzZ0S0a2TKwVgs8YSGaZiIhaLndRVH1sQ0OSiF79irqwe4j3z9NCGUuYrSyxwUmXOwdNTiyysOX7654vDldYMO+fj13Iq3mYOEw79+tWDcpnd6zsG73lKMmJGag6oCVU/7VvvJqi1tVg6q+SfprqEQwrpuIYQGl7sCihKwcrD8VvnJoFvvME31MtMU23PQUBGJpl601XUNJeXFAHNwh7FA6kO5181rCkfCncnTDSOGUKd1r5uUUkbN2IaQEZ5Y9Xjb6wkNFTyTvGyXmsZtvwTwKiTc6do4dV+wedLN+GBu8X35A3If8gW9Zb6gtzCnIHBGcVnB+lVfjEz/vHTq1ybWvlY6qf6NdUPKh9eXDhjcdGLDm9UTt706JsMivpaWhpSJUpppr2oKIRQA/6hqqz5LdSvfSb4yBACqS2kNnXt695mFZUcNeSzcGh7Q2Rp+PtTUaYbbI93d8VJ2KOgHrFu8iWg3mndSblM4lJqDsZiBjrYQACsHY6HohnBLaGLbvVWJORhNn4Pbvq2xchAZcjD9yF9pc7D4wA/uy83Nf8jr9ZV5vb7CQDDnjIKC4vUjx69iDu6nJtb+u3RS/bJ1Q8rH1pcOGNV0YsOn1RO3Lcmcg42pkSNNCdPoIQe3tJ2l6gOcc1Avbg2dfuf2HBxy02PhsG9AZ9j7fKjTb4YjXqR7K+/zewHm4A5jgdTHWtqafm7EPQrZNE1sqt7YBuA5AFOFEHnHP1I79MTHmhYmLyuE+BSA41PCDMO4EYBuGhJGLM2zIkTaPwTHYJj1jD41mO//RUpjn7soFo29suqLkfz92A8pQlmUG8wf1vXPOhjIHRjw53xydmRRulGk/M2N29BQVw0jbuQ5KSXaO1IG0ImnSSlfzCsIDnKaKRSR8lCklRMObPj8uGE/klKOBfBhuhVHw5EW8/rv9/gwCSLqe00NLT83Yok5uHHtpoQcrL3p+KFN/3tiag6i5xy0Tr6kfaBmr3JQL5o11R8IpuSg2+0pisVir4wcv4o5uB9ShLooNzgwLgcHDAz4iz85O5J2NEV/c10jGmrqYMS2R480JdrrMg4GZ+VgoMI5B6Gm5uCB1zd8Pmz6j6RUxgIifQ5Goi3m9x9lDu4g/uH3sYrblj7d3Np4SENT3d8bm+tnVm/bdGFLW1P+MQ9X/+SYh6tfOObh6rTVfOmFSzoArHSa5/P4uk8thBrD3fdeSClhRIxWM2ae6fV5P0mz6pRgmPWMfjKA53Td+TY0TddOBfD7dPtK/dMBK/5yck4wb2jydF13uaWUC9IUSQEAaKivxvp1K7Hh6/9g87drUFO9AfWN1U+HI6F16bYnhHAdOHyIJxBIGXkHEHgl3XL/mXjgpwAmSikvMmJGwtlqaZroaO24L+1BEtEutfQHFU831jcfUre14e/12xpnblpffWFTQ0t+9a+P+Un1r495ofrXx6TNwSX3lqbPweD2HAxHQ+jqcSulhGEaraZpnul1Z5+DetGskwE8p6W5d1jTmIP7owNWPHZyTnDg0OTpuu5xS2kuSFMkWTlYU4/1X67Dhq++xuavv0XNt9Wo39j4dLgtkjkHy472BDz5DjO19Dl44HXbc9BIzkGJjo5O5uBO4CANu0D5zUu+hPW04h3xMYDDkyf6PdvfQEpToqMxDKEAUmIRJE4/87Zwc/2SE65Is86E7gizntGPAvAvAHpHWydyChK7WiuqCt3jhjTljWvXHLrtwIM+vzebHf933URRt7XmGt2lTzINc6MpzWu+M3pVJJtlac8bvOwuIYRys9NlfgAQQpQDeO/syKLJr7oq18fNihtXVyIaDSMatUYAbm2pf3Do4NGXAngewPed1quqCg46cAhWr96A9o7Q9uma8nim/f3PxAMlgGcrXlv2phEzHne5XRMMw2iKhML3V089jsFAtAct+W55n+eg3XUWgPVg2XC0A/bQl4sAnB5efmbzCT+qzyoH9aJZ3TnY2dmBQCAnobGqqnC7XZBS3njoxHXbPv9geFY5OPGsOlFTs/UaXXdNMk1jo2nKa1YtGc0c3EcMXvZADzmo2Dm4ZfKrrjLnHJRANBJF1BpNFa2NLQ8OHTc4cw4qGg4qOxqrN/8b7eHtPS9UNZA5Bw+8zsrBZbe+aRjG4y6XPsEwzKZIOHJ/9XF/YA7uBBZIe5+PAVyaPFHXdOiajmh8FyYTbwH43pm3hbuu36Z7LkX3mbNZz+jDAbwJIAgAdVsaEcj1QVGti4m6x4NAfl73gqZh3LNh49FNFUM+eSrTTj/7bp6nrGLIV0UDSyq6pnV2hH4656tRB00Z+WXGMfxpr3GilObExuZ65OcWpmszBMD8pCIp04Pw2ucGSmNVbdU/BuAFcIZTI1VVcdBBQ7Bq9TcIhcIAsAnA6mx2esNZR9UBODebtkS0T3DOQZcO3a0jGo4fnEW+BeB74eVnZp2DetGshBxsbKiDzxdA17gPHo8beXnb78s3DOOeo0/Z1PTJ24OeyrTTeUPf9QwZUvFVScnA7hwMhTp+Ouq4rw768qORzMF9g52Dm5Cf69jrDejOwYQiKXMOlgViVVvaeshBHQeVj8OqTUsQirQCvcnBo25mDvYxdrHb+3ycbkb8VSQALwE4J644AoCUG2NtHgCY9YxeAmAugAFdM8KdEWxZv826sVUI+PMSB2tRVBW623V3ph1+co7f7Q8GFwRzcyvip3t8Xp9QlOcyLUt7h8HL7hIAbgWAzdXfIBJJ9x4DwPYi6QD764zBAABzA6URWGfO3knXUNM0HHzQUNjdPt9pmHRK5keIE1F/lTYH468iwc7BuOII6CEH9aJZKTkYiYSxrWYLpJQQQiA3N/VqksuVOQf95XPcwWBwQW5SDnq9Pp/CHNwnDF72QFwOfo5IJOO9Q11FUvY5WBboOQdVFw4uPwa66gaAdxomTWUO7iEskPY+K03pPPSXx9V9AuwpABeceVs44bK9lNLxXa1hxga/+qwrB9YZs5S+s61N7di2qR6qpsF5FBU9f2v9CTkpMwA8OcevA/inruvjnOb7/P6jnabTrnHYut+cXVlzR/3khntjlVtnbDty/f9cns1yphk7G8AEAIjGIliz/j+9KZJ6DAYAmBso7QRwDjIMrqDrGsrKBgBZPnOFiPqllWaaITA9vsQcDC8/M6scjMWMwa4Br6bNwfb2VtTXb4OmqY45qOta/gln1zvmoL98TsYc9DMHd6vD1j15dmXNP+onN8yMVW79x7Yj1z+dZQ6acTkYwpr1C3pTJGWXg2WBnnNQc6Os8GCAObhHsUDay5ReuCQajoQdx623H4B3P4BLzrwtnDIyScyMOfaLMkxjREle0TpVURwe5mlpqGleKhTlTad5QggoijIwefqTc/warFGJ0l7W1V2uwL/rJqYdXpX6zqFrb5xQXFT2SsCfU+ByudVAILe4qKj0oUkN9/ylqu3htA8kAgApZUI/50g0nG2R9F5hYU4FYD33SNNSNtMe/8XcQGk7rO4F6W6kRsAamvTdTBsmov5ryb2l0XBHmhw0t+dgePmZqTkYTZODhjGiqLRknaKqaXOwualhqdLLHPSXz+kxB10uV2DiWXXMwd3g0LVPTiguCrwS8LsLXC5VDQTcxUVF/ocmNfzfX6raXuplDnZkWyS9V1gRtHJQVaC5Uu5eSczBskDPOejJA5iDexQLpL1QW6j92eRppmmiM9z5CIBfnnlb2PHMmmHGCtKt0+tyFw0qLIHf7fhYh7UATvfn5d6YYbeK4794co5fBfAkgKkA0BkKOS0DYZ2KOyTDeqmP7DZ+JQAAIABJREFUuN3eO1Q18f+/EAJul+cqALOr2h4uclquaOFvCxVFS5lnF0nfSim/zbDZijGHVNxz4MHlqBhWgsFDB6Bi2EDk5QcAwIRDd5e5gdJmAFMMw1ifPA8ATFO2NUw6hf31ifZj7S1tzjnYbuVgePmZjjkYixnOOSgBt89bVFIxCN6A48n+tQBOz83NyToH/eVzEnIwxBzc49xu7Q5VTXxra+WgZufgS2ly8M5CRVEccrADa9Z/0HMOVlXcc+C4A1ExZhgGjxqKikOHIa8kH0iXg2UBOwejzjkozbaGSVOZg3sQC6S9UNSIXdvY2rSw64F3MSMm61sa/nbC9Lqfn3lbOG1/1JgZc3wCecSweiCoioqSvMLkImkrgKpzL4puUxRla4bd6g6GJ+f4FQCPIG6EonQFki1lNKJM/vLlyAOfrD7u2ic2HfvTvzecmPGMD20nTbMiw+wqAMur2h4en7KcNNM91wEdoZa/CSEmA0gbDrqmKWUl29+TKIpAfmEQwRxfpOO0Kx1/X+cGShuEEMeFw5GUX5y2to5bMxwHEe0HYpHotU21jdtzMBqTDVvr/1b37gk/Dy8/M30ORtPkoN0jXVVVFJaWJBdJWwFURevOzToH/eVzUnIwXYFk61UOjrzyywOPu6P62mP/sOmnJz7cwBzMkjRlFjn4kkMOygw52NxzDnoUpexQjzWoIqweFfkDCxEszIl0XHuacw6WBRqEUI4LRztSczDUwBzcwziK3V5o7C83GAAmLr2vYoSqKMMMw1g+9uqNmf5pd/ljJBb5uUtzdQ+mb5j/v707j5KrLtA+/txbW2/V3Ul3Z086GwSCBMImEgNEgbATE0VACYOCDoyI4+iZUZB3FMSjM45REGacd5iMmQPqSECWzAuJEoKAQMKWsGUjaULS6a16qf1u7x99u+mqulXpiKKG7+cczkndunW7uknq6efe3/39HCVzAwU7NcUblcplpMEF9c5Zsnz4DEa3JE/D/8QLjJOke9bFjYhp3Bs2jCWeJ+VdV64k27JkW5bCkcD1JI6t9Ka/u2lqTIPjfs+ujdd/fOK06dOH1qXIZtIr7nr7g6d9ZvIzLx74239/6xvoqWpqGl9plymSNpyVvPPvJN3+aN01niS5jhW27awikcKri46dVy7Tu/qB6Ck7L8w/tUjSY5KmBh04GgkrXlutgdQ7n/N19dUVQ31d/eT9c19/cUZtbfV90VjkKM/18ul05psvzfrA7aP5fgEcunbff7wjaWHrxzbNMUOhmY7lvND2q+MPnIOGvpPP5f86GhuRg7ajgf5kwW6NLU3KJFOSn4NW15JR52B86jrDMMx7DcNYInlDw/5kWZYsy1Lk98jBqRdvGs7B+knxj08/Zdr0SNXgr2jpRGbFB299+7Rnvj6ZHDyAvoFsVVNTpduBhnLwXj8Hl/k56IZt2y75f+fYjnKZ7OoHopN2XpjfWzkHa03Fx4c00P7OIsZ1Y+or5+CUhv1zX944o7aq8b5ouPooz3Pz6VzfN1866mhy8E+MgvRn7Pjrd78h6Y3R7t966gsD2x/7wBF5O/KQaYZOtF1L6XxqeDG9IeFQSKZh5l3PvWjJcmv4A3fcmPV2R+L0HklBY7hb7n+s8fCoaT4UMozDhjZWeaaStiPb85TNZFQXHAyBZ86+/eS4Ks/zVodj0bMN0zRMM6Txk6Zq5KJ9VdU19Y5t/1LS7NH+HN6Pxm64JCppbLyuUS3NEyvtGpH0I88zPnHmwL9duDb++V5J8VymT4akUHhwmLzj5JXN9Eqe2ytJD0RP2eGXpPUaDJgS4VDJBelU0H4jvXrEsfslnXKg/QC8P+2+7/iDysEXHmod+MBZ24+IZPMPhULmiZZlK5VMy7ELczAUDss0zbzruhdZXUuGc3D9/WPs05ckyuZg4/THDjdN8yFjRA6apifHseV5njKZTLmCFJiD4xY9WeV53upoU+xsM2QaoYipqSdM0lA5kqSaMdX1dpYcPJCxG1b4ORhTS3NdpV1H5OB9F66Nf8zPwayfg4M/e8dxlM1kJc/zc3DSDr8krVe5HIyW9OoD5+C8E4pyMLB/4T3GELtDzOxFWzpaT3vhpES6+6L+TF9HcTmSJMu25HruZUuWW+sDDtEZdNxEf/+FnudtHlmOpMGxvdX+L8bZ0qvEQ455tmthwafGNx6uMjzXfTpSXXWOYZqGJEVjscArUDV18Vn35S6oKXlihOs2zzavfXHGT7/02py3rn91zvbPb5x6RaX9D2TZm/OjH9s+75irU2cHrxb356dVkrG7bav2vL1TQ8NSyjEMb6GkfWcOrDxZUlzylM30KjXQrlRyv7LpHmlwUpDh064PRE/ZIel013X7go6Ztwrvl7by9qPv7lsCgIO35dHZHS883HpSd2fior5Ef0dxOZIGF/J0Xfcyq2vJ+oBDBOZgv5+DRkAOmubghYJMpuwN/ccsvKCrIE+qJjxsuJb7dNW46nPM0GAOxupjilSX5mB8fN2sC+7NVczB2c/8xpzxxK9/OueFx96a8/xj26euW/eucnD+m1dH523/3DFnp5b/heVgQnve7j2IHFzj56CUzWSVGkgqlUwO/k4zeIwROThpMAdtLzgH04Vf08rlycG/UBSkQ9S8xW8+YBjG3Lxt/W7kdtfzlMplf7xkuXVvmZd2BG20HeckwzCiQc+F/ClRzZB5V5ljNmjwg2ukr4SrYgVDDgwz+K+jP+XqB8ocWxevqTYN09zaMHbM5dW1tVNq6mpnjWlpXnn9q3NuK/eacj6556TIJ/ectGFMS0uueeKkF3OZTHrpm/M/e7DH+X1Nee60xtbnP/KpmS8v/uq8nZ/84LG7Lp167K5LA09HFhlai0Ht+9/S1m0vy7IqL95uGG6VZD85e3brJQVPFIZKwfjMB6Kn7Ehncmdatl0wvV0qk1NqcIFXua6rVDL7tG07hccFgPfQm0/Pe8AwjLlWLl+Qg57rKptM/djqWnJQOehUyMGhqcFNM3RQORhrqSrIQbP0Svzg8c3KOVh95xrTDBlbx7RGL69tCk+pbQ7Paj4sunLO848ddA6etOezkZP2fHZDS0suN2li9sVMxkzPf/Pq9ywHL3luSuMlz7d+6tKXZ371UzvnffDTu46d+uldxx5kDg5o67ZOWVZpOR7pnRycWZSDBY+KcnDSjnSPc6aVdQtzsMdRqmvw67mOq1Rf8mk7b5ODf6EYYncIm7f4zW5JH/rtfS2XhszQlzzPy7ieu+LUpV33V3hZ4JmzSLj8XxV38IPki2NbWtZL+kzQPrbrniZplyR94+GqcyR9t3iIdz5bbn0/SYPDE54NeqI2Hv9Wbbxu1shthmGopq72C19rO27bd6Y9/6NKBy54n5a1duy48QuHHseqq6tC4fBPlmyf9+T9s19+fbTHGbLMXW509bSHHm9+tGQ62mLTNi26sKGx6ZeRSGw4COpqGtQQb9L52W9YlpXblM1nljzedNv+gJcX3GA6kOzVq69v0swZcxWvawjYfYhrNjbUf3zO4TP15q63lM+PXKFeucTp/2wVv+I3Yz763Mn7/nd8dVX0dkmzLMtuT/SnHvM8b18mnXMl/WbXsZcFTtELAO+lN5+e1y3pQy1H/vbSUNjPQddd0fXGqQedg+EKOej/Rv3Flgo56I7IwaoJD58j6btGUR/K9v1+ORgfH/5W3bhwSQ7WNoe/cFzbE9uen7Zw1DloWeba8eNywzlYXe1WhcP5n8zb/rknX579k4POwVvdZYbX0xW6ofnxA+bgJZumXRhqbPilMXKcYk2dFG/Qp7PnW7KsTcpnl/x30+OjyMGcXn29XTNnNCteF6vwVYdycLbe3LU7IAe/VpqDU6Y9d/LmN8dXN4Zul6FZVtptT7TZgzk4kB7MwWXHkoN/wShI7wMf/ljnPZLuGeXuB1WQPM9T3nNXXrk4dduzXQsjnue5hlH8kS/ZrnuNpP/6xsNVc/z3Yti5nCLV7ywN4Tj2QU/0cPGa6jnVtTVfqfD9/PBrbccZ35n2/A8r7CNJWrCh6dwZR849rXh7OBIxa+riN0m67EDHGHL4q3NmTZk4c3VdTcNRjQ3N5pn9F+xMpfs//NSExwNvMq595AijdfqR94wsR/HaRrWMnTz0MBKNxE6ORqu2Xpj/PzMfiH6zu+gQM4oey7Ly2rrtpX3Hzz/1bkl/F/xOB0tqPF6ruUcepra2t9WTGB45MBD8Gul3E8/pk3T58IZx5fYEgD+9ztc+/K5zsFxB8jxPruutTL29+LaFF3SVzUHXz8GqCQ8P52CuO6eqce9MkGPnHFkZK3CYncrkYPWda+bUNIUq5uBxbU8Yz09beMAcbNpw/blzj7RLcjAS8cx4nX1QOXjLq4fPMiZOWa2auqPU0Gh+u//MnV469eEbJzwVmIOfeKTWiExvvaegHNXGZYwdnjwwokj0ZC8a3frp/IUz/zv6wChy0NXWbR37jp8/dRQ5WKe5Rx6htra31JMY7jblc/DoGYU5eHi5PfGXiCF2KOA4TuAZj6CC5HpeyvK8L156xsCVknRS8xOW63mBHyaO552wasthR0l6QINDDZQfSMkpPFOjfC5b7kamkmC4eE11RNIqK5+PeQGLroeraxSNNygar19x4/5TflDmuJKkBRuaxkv6T88NHrNcXVOz+OrU2QecanXm5pkTZm6eefv4lilbxzS0zItEoqFwKGzU142Z1RAf+8oyd3ngMRobW86KxqoKxpc31reU7BcJR+tNI/Sbpc4txSu6zzQMKRId/M8fDi/P83Y+WnfNVzzPWO55KvgheZ6hkedIwuGQZs6cphnTpyg0ONyxbDAAwKGqXA4GFSTP81Ke531x4K0zrpSkJx5strwyOeh53gmHnbilIAdTOwdk9RUOh8725Uadg9V3rolIWpVPuzHXKc4vTzXVrhrijurjzopT9j9eMQebNlzv52Dw8zU19uKzU8EZNtItm2dOuGXzzNuNlvFbjYYx84xIJGSEwoZRVz/LiDe8cqu7LPAYocbGs8xYtPA+q/rGkv2McKRehvmby52lATloKxJNKBLtkRka/DF6nnY+WrfsIHJwumZMn0YOvs9RkFBgIJUq/sCRNLh2xAiWpO+YhjH+4o/2F4xvtlz3t0Gvtz035ElrNOIci+e6yvT0Kt2dULo7oVRnzw9q6uLlhgEcc1/uguK/r1+XdKJt2Up0FZ5IisYbFKmpVSgaVSgaU7Qu/qWbuhZ+OejACzY0mZJWShqXSSWDdpEZCo2VdHaZ96Ypz0xqad009Zee5+2W9DdjG8aV/NuqqY6PzeUyfxP0+mSyt2RGnKGbfku3m/MkPbjUuaXmnW2aW1NrKBYzFYuZqqkxFRkcKf+mJK2N//UqKfxhzwvv8zxTnheWVKWgj4CmpjE67LDpMgwj+IcBAIew1EHkoGEY4/vbPlqQg26ZHHRdL6SiHHTzrnpf6lHihW4lXuxWz8bOH8Qn1JXNwQvuzQXnYMZT947CotUQd1Vb4ykalWJRKV7nfWlh1+OBOdi04frhHEymgq+UhUKqmINfe2ZSy00jclANY0sCxqiuGevlcoE56CSTpTPDlbs32c/By52lI3IwO7emtk2xWI9isYRqavYqEk1Iwzm49CBycKwOO2wWOfg+RkFCgWw+/0Lg9tzwvYi/ljRvyaLery9Z1FsyfWXedb6Qd5yCuyLTtiXLdTW2Pj4tGjB8zrVsuZb9K89xviKp3DoPtZKGx1dfvKb6REnfGHqc6OhSX3dCkmSGwwpFS++jNaOxm7+VWhw0G8918j/0e7u6ynx5SdLngjZOeWbS7FA03BaKRpYZhhEdOaNRsUg0dsMyd3nJTES2bc3s7+8p2JbNVpwd9FRJq5c6t8SmvXCZWVVtHDF0k/CQaNSQYWjf0OO18auflqKtUtXNUtQNXuZjUF1drSZOaKk4TyoAHIryZXIwV5SDvbsWfb1316KSD2rHcb/gFOWgZdlyXVfxeP20oGnA7QFLdr/1Kyc9+hysvnNNQQ52bcsrsXuwJIXDg8WoWCzq3bw4tb5iDnZ1VbpfJzgHv/bMpNnRaLgt6uegDKNsuVE0csOt7rLSGflse6bT31+4rfK9yadKWn25szQ27YXrzKrqjiMMo/AqWjSakGFYI3LwooPMwfHk4PsUBQkF+pLJuzLZ0k+kzkSiT9Ilks5csqi37E2aZ0x6dle/lV/Rl89pIJ9XIpdV2h68L9M0TU0eVzpsTNIrki6/+bysq/LBIPnrSFy8prpG0ipJBS2ka1/7YEkqHfo9+PVDoRpJR47ctmBD0zxJ3xt6nMtmlE6WvaJ+/tWpsycXbzQMPRgKh4dvpvI8T6l0f/Fug+/BMMdJ+tuAp47saG9Tb6JTjjP48+ru21+yhlWRxZJ+ZhrGBaZZ+k0bhqFwUQ6vjV9hrY1fcZOk4ZuFy6mpCR4EDwCHsmQyeVc2IAcTI3Kwd9eisjn47KOTduXz1opcLq98Pq9sNid7RA62tATetPmKpMuz7eeNKger71wTmIPtW3JK7M7LLPN7fyikkhxs2nB9QQ5msiENJMuOpDv/7NTywByMjMhBeZ6UDj7JZ1TIQbu9Q06iV95Qv+zrljeKHAwZ7gWmaQXkoKdwpDDT18bPsdbGzyEHUREFCQUWzt/ldvX2zutLJt+2bNvL5fPW/u7uX3d0d09dsqj350sW9VZeWGDQ9yzXTedcR07ROgTjxjaq6CpSj6SLbj4vO/QJtk3SgcZff1fSnKAduva127Zlravw3pYO/WHBhqbqkKGHooYRjZrG8D+GRGfg/bnS4L+XgtmJWtbVzzXDoSOKd2zveqvCW9A/LHOXjy/aNtfzPHV27NHO7Zu1c8cW7dz+st7Y9vxznuflAo8yaMms1in/Wu5JwzDuC9q+Nn7FbzX481xV7rWO675U6ZsAgEPRrhfnu729vfOSyeTbtm17+Xze6u7u/nV3d/fU3l2Lft67a9GoctB13bTjuCXr8TQ2ji1eTLZH0kXZ9vP+IDnYviVnW1l3VDnYtOH6ahl1DxnG+KhhTpA0OGFEZ2fZq0glOXjtuvq54YAc9LoC52IY8g+3ustKclCeJ7ujU/ntO5XbsVP57Ttlb3vjgDl4ZGvPvxbPzT3EMNwyOXgOOYiyKEgocfyRr287bOrGKTv37AnHotHY0bM3n3H+qd2jvlHx3CkbOyT9OOi5watIzUMPHUkX33xedsfQho/FHnQkbQ56reM4Cy5fG79I0hcqfPmbq+riiz3XLfd+l0rSmU+2GDHTeCpmmlPDpqGwYagqZCpsSP2JhBy77GykVxVN1nCDG7AIYTLVp76BnpLtvjpJ/zj0oPaRI6IqWiHdsS3lchm99dYbvzQMY7GksuMMGurjE1onTyzZ7rpeRzRq/C7gJZKktfEr+tbGr1iez+evchyn4MbVXC5v5XL5fyj3WgA4lL3+uyO3bVw3dcqePXvC0Wg0tvmJ2Wd07zh11Dm4cd2UijnY3Dx8FcmRdHG2/bzhHHxwWaxiDsZ/vPYieZVzMN6gxa5bdoKBpZLU8uRthmFOfMo0J0w1zLgMo05maLJk1CuRiMq2yw4/u6posoYb7IAcVCopbyBwPVWpKAc/8UhtSQ7KduTlcnLeeuuAOdhUn5tw+OReFZck1w13RKN9FXLwnL618XMq5GCOHHyfoiChrIXzd7njxqwfzZmyIP/seV7gh1lDfHhI75dvPi/764BdAocXOJ57+szJE+6fM22Spk8cpzHx2uJdnpV06zfHrncN01xZ5n3N/1Zq8XTP874dMoySGYEihiHPc5VOJQPHoEua5nneWZLUsq7+cEmX5NNZFc9+53me9nfu+YXnlZsPSFcvc5fP9f88W0XDJEZ4bXXoxsclfUyDNwUHamkao6kTC0/GGYa+3Db/7gP+/3u86er/6OxKzO/p6V07MJBqTyT6nurq6jn6lcO/uuVArwWAQ9muF+e76+8f8wfPwbq6+NAfv5xtP2/UOeh63ukTMpPvn5SepnGZiaq14sWd4FlJt64fe7prmlpZ5n3NX5xaP93z3G8bRm1JDhpGs1zPUDIVKpuD8nPwWj8HU+ms3IAcdDv3V8zBW91lo8rBVaHVB8zBiU1pzZrYp5E/EMOwv9w2/7ZR5OBF/9HZ1T2/pyexdmAg2Z5I9D7V1dV99CuHX0kOvk9RkPBHce6UjR2ZXO6XQc+FB2cCuktSuRW+A4MhGo4oZIZkmqaqY1FNaBqj5sbhyYYyki7/xbmZoUs/gZfUJakj0fN9wzC+FvScP9HBy1XV1VeVe73tuT++qGuhocHZg0zXtpVO9MnKZGXnLeVSaWUSfd/fPPvFTxqG8e9lDhPS4BAJqWg8eJFXJWl16Mb/J+mTGjzbGGh8S5MmjR++x2ufYRj/U+G4BTbP/ruXN7Vef9bvJl07ceO0Ly549Yi/f2O0rwUAlNq4bkpHrkwOhn7PHIyEwwqZpkyZiroxjck3qd4ango7I+nyzDXnHjAHexK93zcMs0wOmpLMl6urnbI5aHq5Hy8bkYOWbas70ad0Jqtc3tJAKq3uRN/3vzF78x8sB1eFVh8wB6e0pNQ6fvjC2T7D0EHk4BUvb2q97KzfTfrExI3TLl3w6hGfIQffxyhI+KNJpjM3WrZdcuaoL5naL+nam8/LBp7VyVtW2Ztfo0XrUDQ1DJ+F++ovzs1sHfHUE5KKF5GTJMUi0aVB2yXJHRwsftnKMY8973neM0H7hA1zRiab/ZakTw+/zraV7U8qk+hTPpnudSz7Zv+pf5RUbprQ85e5yz8iaW6Z53MacQPp6tCN90n6K5UbaC1p4rhmVcWiknRn2/y78+X2AwD88WUy6RvtgBxMpZL7JV2bbT8v8PPcssvnYPF6THGrYSgVvpq55txR5WA0Eimbg55neZJx2WNj/ut5lclB14jNMIty0LJt9fYn1Z3o00Ay3ZsfZQ7e6i4bdQ6uCq0+YA62jhtQTcySpDvb5t9GDuL3QkHCH81fzduxe3934qq8ZQ2f7RlIpff3J1Mn3nxetuwNl6ZpPFtu9ja7cOZUmYahSDj0uKQ7Rm6/qfYRW4OL8ZWor60NXPhWklxP//Tkqd2vSJLjeYFnngzDUE2s6obGeLzccIAfdp7R3ydJ95o/bdc7Z8hKWLZzd/O4xo83NNapvqFW1TVVGjFb9xupxa8XfMOrQzf+t6S/Lnc8wzA0pqHekfRv5fYBALw3dmyatzuR6L7KGpGD6XRqfyqVPDHbfl7ZHDQM81knYAF0SSqaQVyGDIW8cEkOPlJ7etkcrK2tCVz4VpLkZf6p+9R/eUWSDM8KvgJjGLJjNTfkKuTgHX4Oft28t2IOurZ19/hxzR8f09igxoZ61dZUa8SyFW/8z+JUwTe8KrT6ADkotTRkyEG8KxQk/FF97vjd//lWe0fV3o6uS3fvaz9xy/adE79w8t6KU7x9ouZ/UwPp9FPF2xMD/bKcwskTcnnLsR33U784NxN0Nml10PENw1BTQ0PJdtfzVjy2sOvvhx578n7iel5JU7NdV54h4/DpraqKlcz0MyDph0Xb/kXS3qD3EgmHxk+e1DKvqaVRzePGaOLkZk2bMVHRaESSXgt6zerQjT+RFLjY3+Axwy+2zb+7o9zzAID3zu6Xjv/Pjo72qq6ujkvb2/eduHPn9ol7Xz25Yg7+78U1qXSmNAf7kwMlJwotI++4hvOpzDXnHlQONrwzAmOY5+VXdC28YTgHDXk/eWfO7RGvd/MyDNfom94q+13moBmOjG+aNHneuJYmjR/XrCmTJ2rWjGmKDS7kFJiDq0KrD5CD7ott828jB/F7oyDhj+66D+2zrzpu18+uOXHPxnLD6orZrnNaz0Df2pyVty3bVkdvt/YUTRlqO46Xymav+/k56bfLHGadylzWb2poLN70I9MwCj5sV8bXDmRs69aRU7S6nqcBa/CkXzgU0pEzZhSvrv6jzjP6EyM33Gv+NC3pxnLfa2N94WQToVBIEyY1Sf646yCrQzf+IJlKryze7jiOcvl84CrlAIA/jX2vfcje9eJxP9uz5cSN5YbVFXMc97S+5MDavGXZtm2ru69X7d2Fi5k7crxsKHtd+tpzDjoHG0tPFP7IMKIFObgm/vOBiN1/q0ZOVe45ilndMiR5oZB6Z8yQW5SDdxTl4NfNeyvmYLi+MJNDoZAmT5ogVcjBVaHVP+hPRVYWb7cdQ9l8iBzEu0JBwp+lq1uesD/bvOGs19p2Rl/Zvb1xb3fnXMd1P2rZ9uf6U+l7EgPJFb3J9LG3ndx+Z7lj3FT7SFbSmqDnGuP1I4vNPZL+du2CzpLQurvxNzf15DK3D+Rz6s/n1JPLyBox7KG6KqbDW1uHHqYkrSjzdn7quu6OoCeqoqXr0IUjYdXWVScCdh9WV1vzma6e3h/mLcvxPE/ZbC7dlei9/rmptweOGQcA/OV44soWe8MVzWft3NMW3f7W7sbOnu65rut+1Dbsz6VDqXuS4YEV6Ujy2PYvnVw2Bx+pPb1sDtbH6xQKDf8aeI+kv+1ccF1JDj7Y+OBN1bk9t0fz3YrmO1Wde1sh953J+ZyqmPpaW4duCqqYg16ZHDSjVSXbIpGw4nW1FXOwvtb6THtPzQ9zlul4npTOhtPtiZrrn5q6khzEu2IUL2AGHEq+lVr8SUk/C3ru+TdeUyqTeVTSBWsXdJa9kfOiroUhSb+SdF65fbZs367+ZOp7nWf0/325fc7PXro0Fo3cW7w9l7e0e2/h4rSe56mrs/eY9pM3vVzueCNNe+Gy2Anz5uZXh27kHzQAYNji1PqyOfjaG9uUyWQflXRB54LryubgslHk4Jjt2xVNpr53R4UcvCV7/lIzGivJQTefU3bv7oJtg8tldB3zf09uH2UOXhc7bd7b+VWh1eQg3jWuIOFQt8Ytc6OrIWOLpGWVypEk/ar5CUfSZapwqb8xHrclfb/ScR6qumeP7HZUAAAGbklEQVR1Mp0tmLrV8zz19JWOfshmcm2jLUeS1Db/7hzlCAAQ4IA5WKkcSdK9o8jB/Chy8Maqh1Y76WRJDlp9pQurpzPZttGWI0lqm39bjnKEPxQKEg5pN9U+MtDd17uueHtfMplOZtIfWbugs9zUowV+1fxEv6QLHMcJXPTPNMzHO8/oP+ANobm8dULfQHpVJpvrGEhlevd2JPb2J9N7XdfLeK7nWZZtpZKZjel07qjRvC8AACp5pPb0gd6+/pIcTCZT6XQm85HOBdeNKgfv9XPQKJODnmE+fscoctDN506wB/pWOdlMh50a6M137N1rJ/v3uq6bcV3PsyzLSiZTG9PpNDmIPxmG2OGQ99kd86prYrH7G+LxMwwZRjKd3pHMpM/+95kvBY6FrmTBtqOvHNNQf1fIfOfcQjaXy7/d0TFzy/xd5W6SBQDgT2bejp9Xx2Kx++PxujMMyUinMzvSmczZL828+KBz8LJtR1+Za6i/SyNyMJTL5Ws6OmauJAdxiKAgAQfpuC2HnVtfV3dHOBRqzuXzW9OZ7Oc3fWDrc3/q9wUAwHth+ZbDzs3X1d3hhULNZj6/NZLJfv6n5CAOIRQkAAAAAPBxDxIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAPgoSAAAAAPgoSAAAAADgoyABAAAAgI+CBAAAAAA+ChIAAAAA+ChIAAAAAOCjIAEAAACAj4IEAAAAAD4KEgAAAAD4KEgAAAAA4KMgAQAAAICPggQAAAAAvv8PIi1RPaZb1coAAAAASUVORK5CYII=\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:35:13,015 alphafold2_ptm_model_4_seed_000 recycle=0 pLDDT=80.1 pTM=0.535\n",
            "2023-02-13 10:35:13,503 alphafold2_ptm_model_4_seed_000 recycle=1 pLDDT=81.4 pTM=0.575\n",
            "2023-02-13 10:35:13,992 alphafold2_ptm_model_4_seed_000 recycle=2 pLDDT=82.3 pTM=0.598\n",
            "2023-02-13 10:35:14,478 alphafold2_ptm_model_4_seed_000 recycle=3 pLDDT=82.6 pTM=0.599\n",
            "2023-02-13 10:35:14,482 alphafold2_ptm_model_4_seed_000 took 2.0s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": 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IyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyMcCiYiIiIiIyGfu6xMIov6c71ZprX8uogYAGlrrN6H1j2PPPbh+X58bERFRW6t/4pwqbeifiyMDAEAr/SaU/nHsq88xB4mIWplorff1OeSUGjdBATjDdZ3blTK+lL1ca1c7Tuqm2LMP3LEPTo+IiKhNpaaO83LQcG9Xjmqeg0prJ+rcFDvvWeYgEVEr2u8KpNS4Ce0AfBvABACHFlpXa41UqvY7ieqH/rZXTo6IiKiNpaaOC56D0EhVpr6TGFvNHCQiaiX7TYGUGjfhGABXAbgIQDzodq6TTjU07DikYvYjW9rs5IiIiNpYauq40nLQclINnRsOqThlNnOQiKgV7NMCKTVuggVgHLxAOLmUfWitUV/3eTWgx1TMfmT/qPaIiIgCSE0d1/IchEZ917pqKIypOGU2c5CIqIX2ySQNqXETOgO4HMD3ABzSkn2JCESps7TrfB/A5NY4PyIioraUmjqu9XIQAkmrs7TtMgeJiFrBXm1BSo2bcDy8q2QXALBba791tdsA6AYAx1bMfuTd1tovERFRa0pNHdc2OXhwLWDAy8FTZjMHiYhaoM0LpNS4CVF4QXAVgONae/+u66ChfnvjP98FMLRi9iN1rX0cIiKiUqSmjmvbHDRcNBxc3/hPLwdPmc0cJCIqUZt1sUuNm2ADuBHAtQA6ttlxkrWZ/zwawB0Arm6r4xEREQWRmjpu7+Rgu2TmP5mDREQt1CYtSKlxE3oCmA6gqtV37tNaI52qQzpdn2vx2IrZj8xsq2MTEREVkpo6ru1zEBrpihTS5elci8dWnDKbOUhEVIJWL5BS4yYIgDkATm3VHWdwnCRSyTpo7eRbZSuAgRWzH9nQVudARESUS2rquLbPwYiDVEUS2s6b4V4OnjKbOUhEFJJqg32OQRuEgtYu0ql61Nd9jmTDrkLFEeB1ZXh4x+jxbfH6iIiICmmbHBSNdCKF+i51SHZsKFQcAY05+NJo5iARUUht8cZ5Qivv710A36uv2/5oKlULrd2g240G8INWPhciIqJi2iYHD657NNUuBW0G7vnBHCQiKkFbFEg9W2EfDoAnAZwCYKA1ffL9gL4CwEch93P7jtHjh7TC+RAREQXV+jl40fT7oVBaDr40mjlIRBRCW4xBuhHAb0rcfCuAPwO4z5o+eV32wh2jxx8P4DUARoh9rgQwuGL2I7tKPCciIqLAUlPHtU4OXjS9eQ6+NLr0HDxlNnOQiCiAtmhBmgUgcD843wIA3wTQw5o++ZZcxREAVMx+5E0APyu8Kw0RDWW4UMqFiD4c0PeEPB8iIqJStSwHL5p+S67iCAAqTpkdIAcBEYEyDCilICKHA2AOEhEF1FbTfN8B4IYiqyUBPAZgkjV98oKg+94xerwB4AUAJ2cvE9EwLRciTZ/3X+ICEdwL4NnozMe3BD1eMe75X1cAegM4RkMPBDAOQD8AcQBpDb0G0FeZTzw1q7WOSUTFnTG3/eFQ8jVovQ4ar/5z5LY1+/qc6D9Hauq4cDl40fTgOfjS6AI5KDAtC5IVhH7WLxARLweHz2y9HFySlYMK46AzctDQayD6KvMo5iDR3tS+z9zDRdTXtNbrAP3qto9HMgcDaqsCKQLgF/DCIbuVaj2AewE8YE2fvLmU/e8YPb4HgH8BaN/4XL7iKAcNYD6AZwDMALAsOvPxQN8E9/yvdwBwjP8Y6H89CkBZ4QNqaLiTzCee4o37qIkX5nc5FN4HiwYAr512wqbW/4PcR656oeLrEBkvIn211h/C1Q9PGrVjRlsf94y57Y8Ty6wW0+jQ+CFRaw2dTL2uHffr/xy5jdMeU5tLTR0XLAcvml5aDr40OkcO5i6Ocmieg8NnBsvBJS3IQdudZA5gDlJTXb40v0kObvrXCQdMDlb0fOHrovbkoHbdh3esHdXmOdi+z9zjTNOqNgyzSQ6mUsnXXdf5+raPRzIHi2iTAqlRatyEo+HNonM0gNUA3gTwojV9cs672oWxY/T4rwGY5v3LK45UaR0GP4QXEM8AeDU68/GUe/7XowAGYE8IND66lnq+fpF0sfnEU1NL3QcdOF6Y32WMMo17xTR7NL55uY5Tr9PpKacev/HyfXx6LXLVnIrOYqi5Ypn9sz+oucnUEu24J04ataNNxkKcMbf9eSpqPyEq97uBm05/qpPpQ/45cltDWxyfKFtq6rjcOXjR9Jbn4EujM3IQMC0LeX71i2mag8NnptwlbZSDlnuxeRRzkIAuX5o/xjDMe82MHHQcpz6dTk/ZuOT4L3QOVvSc01kZxlzTtJrlYCqVXOI6zok71o5qkxxs32fuebYdfULleTNIp9OfptPJQ7Z9PJI5WECbFkhtbcfo8X8G8F0RDcsO2907k4YyAGXolCjUASgTaf3xWS7cra5yOtuPTf9CfdPfu+6wcsMyT9GuBoBn+9/1QcGbUFFhL8zvcr4RsR8TpXJe5nUaki+eevyG0/b2ebWGK2fYYpYnPlSW2SffOm7a2aRMo/fdI7bUt+axR1XHOpsVZWuUZUYLrecmU/Oe//LWk1pyrD7VsUOg1GSIDIBIJQRbILJMlFoD4HMYCjCMuIi8B8OY/uHxGzg4ntrEjpdG+zkosGy7RftSpgGlVEqUqoOgTERaPwdNd6sbdzrbfb9YOXjYe38qN432p2idAqCf/aD/t5iDLdDlS/PPt+3IYypPDiaTDS9uWHz8FzIH7c4zJJEo/9C0rLw56DjpTYZh9t6yYkSr5mCsa3XnsrKKNaZpFczBVCo5b+uqL7coB2Ndqw9RSk0WkQEiUgnIFhFZpvwcVIYBwzDiAnnPMI3pG94//guVg1/0AikBYKFSbj/TKu11KEPDsHSQrnktpqHhSPoU+/Hpc9v+aC33/g+PONSKWM+YtjlgdxOt6+pUQ2qe6+ozjrxzeav+Yeey7M9HdBdDPahMNUwpibmO3uU6zgvJ2tR3B1790ect3f8bjx0cd10Xw8dvrm2N8y1m1tz2nezysg1iqIIzUDnJ5G9OHbrhpr1xTq3pqjkVvzFikRuLraddd54oderdI7a0+Co6AIyqjlliGvOtyvKi0xlr702vd/XxG9eWcqw+z8d/CsucmLOVSilINAIx9/x4tas1nPRMKHXeh0M3tMrrJWq046XRfg6qfqZllbQPZRgwbDNI17wW09BwytOn2Id+MXLwiPcfPNSyOj1jmh0GiHh/165O6VRq8zztNpyx/MhvtHkOHvHwsu5Ky4MKaphAxTTcXY64L6Qk+d2PvjmwxTl48KVvxF242Pzg8L2Sg+37z+1UVla+QSmjYA4mk8nfbFg89AuXgxU95/wmEo0VzUHXdecppU7dsmJEq+RCrGu1ZRjm/PLyysA5uHH58SXlYLzb8z81TWtirlYqpRQi0SgMw9xzPNfVaceZqZQ6b8P7Q78QOfiFLpAAYMfo8YOUct8yLR1mylMAXnFkFr4TeavS0HBUepb92PQz9tpBS7T8R/0Os2ORZcpQZq7lTiq9w3X1EYff/t6mtjqH9+497Cq7LHK3YRrN/gCdtFOfqkt9ecDlKxaG3e/8R7uIMtSDhqUuVKaKA4CbdmtcV1ebtnH14HPWbWyN889lzmudXrES8ROLrae1TolIr5Or1rR6P+F75rYXAIdD5EyJ2JfDUH2hVASu2wBXv63T6W9fPWLLh2H3e+UM2zASsa1GxG4XcJO/Abj07hFbWvxHOKo69ntlW9eZ5YlA62tXP1o9bOP4sMfp83z8TNhWdc4PkoYBiUfzfsjUqfRKuG6/D4dv/mK/6dJ+Z8dLowcppd4yLauEHDRgRkorrEqhoeFUpGfZfff/HOy3/O+HRexuy5SK5czBtLNjh3brj3jv8K+0WQ4e9vB7V0W0fbeBHDkIpz4lqS+v+NaA0DnY5dL5orR6ULnGhUr7OShujRa32nDNq9c9PLjNcrDTMa+9Eo8nAufgmjerWj0H2/eZKwAOF5EzbTtyuVJGX6VUxHXdBq3dt9Pp9Le3rBwROgftzjOMWDyx1bYjoXJwy4oRLc6FWNfq31uWfV0iUR5ofa3dRzcuHxY6B+Pdnj/TsuycOWgYBqKxeN4cTKdTK13H7bd5xfD9Pge/8AUSAOw4/b9+alnuL8Nd/NKwonun5WjPETUclQaAY+3Hpod+QytmzYVVIkoiZtyKdXtwwbZS97P4ip5SdlD5v62IVbCvueu465Shjuk9ccn2Uo+Vy6I7exii5Jflnct/rMz8eZ9Opmu0qw/q9+1lyaD7nv9ol4gZMdaYttkl13L/qsrjIvInAPMGjVnban8gs16sPN+IRR83YwVbvjPNADDu5Ko1LToHvyA6Et6MVyMBnAylDpZ4FJKjEUS7roO08/Wrhm18OsxxrpxhX2iWJx5VVs7PEvncBeCGlhRJo6pjFwGYoiI2zLJ4oG201q6IHPPc0A3vBz1On6dNQSL2qZhG+1zLpSye8/vZ5Lip9KQPh23kIHVqdTvmnv5Ty7J+GbYVyIpF9krLUSMtGk65n4N9Wz8Hq9aMEBGJWGYktqDbCyXnYM/Ft0h52Qn/tqyOhXPQrVunVOyYJb2HtWoO9piyyBAtvyx3y39sFOjxn0a6RkMftOySfoFzsMul8yOGa64x3Tw5CD8H4eXg2ocHtVoOVvZ78fxoNPZ4NBoLuskMAOPWvFnVonPwC6ImOaiUOjgajecct+e6ruM46a9vXD4sVA7anWdcmCgrf9Q0Q110uAvADS0pkmJdqy8CMMW2I4jHC86XsltjDm5YNjRwDpodn5ZYLPGpYZg5czCeKCs6DjKdSk3auHzYfp+DB0aBNHq8Mk1nnTLQLeg2e7v1CABcOHCVCwBP2I9NvyDINivPGdBDmWq8iBwrSmrEkBoRKQdQCaDC/1opStpb5ZF2hm0oZSi4juvqtLvGSTkXdHtwwdthznPpNYdeWH5Q+aNB1tVazxeRM3pPXLIzzDHyWXRnjw4ApkbKI2fGKot/2E3VJR/s953llwXd/5vTulbbMevMgKu/B+BPAKYOGrN2R9Bj5DLrxcouAN4zYtEOIQokALj45Ko1oQc0T5pVVqaV3A6lRkGkJ0SafDMlEYc0vyC5m3bdNNLOwVcN2/hpkONdOcNWAP5lJGJHG5HQ4yB+fPeILbeH3QgARlXHBsG7aWYMSsFuXxFm86eeG7rhvKAr93nGGomy+Es5P0yaJlS8+M9Va50WkU6rhqxvcbcYokw7XhqtTNNcpwwjRA4qmOH/XlvEtR24UT8H+wbLwfNWDuyxS5njU6KOrRejpk6MGuTKQZH2ESvWzjAspZSC67quq501jpO+YEG3F0Ll4KFL776wvPz4UDm4pPewVsnBHlMWeTnoRs6M6+KFRBKpB5df0i9wDnb9zpvVlmOHzsG1Dw9qUQ5W9nuxC4D3otFYhxAFEgBcvObNqtA5WNZ9VpmIul0pNUpEekpWDsbjCagCvd1d1007TvrgjcuHBcpBu/MMBeBfsXjiaNuOhD3dHztZEmIAACAASURBVG9ZMaKkHIx1rd6dg0opVFTkrF3yeWrDsqGBc9Dq9MzIeLwsZw6apolorPjntsYcXL90yH6dgwdEgQQAu864sJMy9CqlEOgT0j7pXidpwB/KA+BI+7HpK/Ktv+Ls/rYRMZ4yLOPsYlf3lGUg2j5fa4BGui71w64PvPn7IOe5+IqeYsfsZYl2Zf2CrO+bB+Cs3hOX1ITYpplFd/YYAuBJAL0SHRKwYsWD23XdGqVUh77j3yk6G8u8hzt0T3SIryvhaukuAFMA3DtozNqlYTee9WKlAPgHgHOVbcEqC9YNzLcNwFFhutrdM6d8AgzjDxDJ3ZRjWVCx4m/eOp1+7qqhG8YEOeaVM+zzADypojbMeKjga3TF3SO2/DnMBqOqYx0BvA2gV+NzZmUZlBmqBWvYc0M3vBlkxT4z7OekLH5WzoW2BRUNHIh3rRqy/kdBVyYKatfLZ3RShrFKKRUsB00Dpr0Xu9eJhpNIN0567uVg3/w5eOGKo+2tRuSpz4zI2brI+7ahTESjCagc80porZFKN/zwza5zAuVgz8W3iG0fsqwsMTh0Di7pPaxFOdhjyqI9OegkYKP4z8eFW6OgOrxzSd+iOdjh8nnd4w2JdYLSc3Dtw4NC52Blvxd356Bl2UgkgrVy+LYBOCpMV7vyHnMmGIbxB8mTg5ZlIRIpnlXpdPq5DcuGBspBu/OM8wA8aUeiiAUoFHK4YsuKEaFyMNa1ulkOlpVVwgyZgxuWDQ2Ug3bnGc/F42U5c9CybUQigS8A37V+6ZD9OgdbfYaafaXsn49tcV3p7jjylNbYrwaAZRVHgPd/BQfwmVFzsWmbRYsjCBBpl7s4AgBRAjNq/vaTS4ceFfB0z9CuDhMKAHAigBmrJ1aV9I4AAIvu7HEpvCsgvQDvymYQSqkEgG8HWVcMdXPY4kjZCma5WWa3t6+02lnvvDvv0K3vvNTnW6F2Avw3gHMBwE2moN1QMy62B3Dfy0t6BTrxe+aUj4VhTMpbHAEFW46aMIzRkxf1KJpiV86wBcBPAcCtT0I7Jc0oed+1r3U6P+jKo6pjJoBHkREKAODUhh4v/euzF3Qt+r3t87TZC457Rr4LSmF+r7TW1xy2sPvhwU+RKJiyk/+5xXXd7o7jPKW13r9yUDUpjoAAObjBjC3+1IwWLY4AIBqJ5yyOAP/+UKb926GfnBY8B7VTUg5WrX6j5BzsMWVR0xwM+BFNIXgOKi03hy2OlKVgxs0yu9y+0iqz3jn0++9u7XPFOyXnYCqVhFtCDvY6fkmgEy/vMWesYRiT8hVHAAq2HGUyDGN0j2MWFc1Bu/OM3TmYbKiH65Q0yeF9nY54LXAOxrpW58zB+vrQc238umv/BUW/t2bHp3u5rpM/B0P8Xmmtr+l+zML9OgcPmAIJAMqef2xnovqx87SLiNY4HsCtAHJe6XBdoK0az/x7HsGFA0fS2cVRo28mLxzXPdf2q75y1P8YljEgyLHMmFW0mBBDKcMyil6VWHxFTwHwSydd0h/2KQCeXj2xKlT/sUV39oguurPHXwA8AGD3JXgnHerN8+aPHhlYsLlp7gPtLWh9YZidmmUmrHILhm1AlEAZCspSHYyo8dDSl/vODrKPWS9WHgJgUuZz6brQH+K/AqDoQMrJ1TGBqP8rOrAu4H1SRMQCEKTbxjkAqhr/ka6pRdCWaQ3A9R6igb9f+1qn04NtqG8D0GwKWJ1Kw02F+lw4Et49aoq5CoBCnuJPh/ib8b+vdwTegCiEspOe35k4sfo87boRrXXhHHTcwH+rYWloaMOFazlw4uns4qjRN5Mf5c7Bs1cN+p8dhh0oBy0zUvQDrxKlDMMsmoM9F9/i5aBT0pCiUwA8XbX6jVA52GPKomiPKYua5aArobL45oEPfVQwB9t/b66lgXA5GDNhxS0YVkYOmqqDYRsP9f3e0kA5WNnvxWY5WF9fF+Y0gIA5GOtaLUrJ/xXtedPGOVhbW1PK35YA+HunI14LlIM6Tw6m0ymk06kwxx2JEDnourl/Lx0nePZ+EXLwgCqQGsWrH3djzz6+IDrz8Z9EZz4+EEAfANcAmA3A+63Rgjw/4zAcAMsAPA7gpy7cH6Yl5RVFyhtvpEXnKo4AwALww+wnl5/eTylD3Rz0BIyAkxYp2xi29doTOxVZbQyA41zHRao+8HjPTKMBPLl6YlWgvkaL7uzRG8CryPHmk64P9cfdE8A3i6xzrpNyOwTdoREzYERyf29FBEbEGLV0bt+fFNqH37XuAXj943dzG5JwU6FeHwDc8/KSXgcXWkErdR6UFJ85J9yVrR9OXtQjbx8Pv/XoZ03OI+0gvatwkaQBJEVQrxQaDAMNhoF6paykyLMTXu88ttAJnf5s9EaI3JBvuVMbOnhvP3tB17zvhX2eNssAfBcAUJ+nB4vjhG0ZPPewhd1PCbMBURjxE6vd2IhnF0SHz/xJdPjMPDmo4ZbW4pupaQ6a7g/TZSk45Wk4CQduzIU2w+XgFcv7qVplBM/BwrNF71lPmcNO3HpOsBx065BMbQ56CplGA3iyavUbgXKwx5RFvZEnB1PhOsMEykFXOcFzMGLAsAvkoG2M6vu9pQVz0O9a1ywHk8kGpErIwV7HLymYg0qp80RU0Rx0QuZgj2MW5c1Bv/WoSQ46Thq1tbuKFkkiAiUKhjJgKANKlCUiz3Y+4vWCORg9+NkbpUAO1tWFbkW6vWv/BXlz0Oz49O4cbGjIfZHXcZywLYPndj9m4X6bgwdkgZQtOvPx1dGZj98Tnfn46QA6ArgAwFQnJdtCFEmfAPgngN8C+BaAwQDK1BPTBqgnpl2onpj2K/OJf/weglkhWhkvT144LvvN6hxRUplz7Rwk9z3Wmq/n3fDvqnzLG1uPGv9du6M27Ae+RmcDeHz1xKqCV7IW3t79Uq31MgA55+tP1iXDBvePP3pkYKHO2ldrVyPdECBwxCuQilG2+tn7bxxe6HVeCiDnQNhUTV3Yq0sHAbi3SFe764JMy6jDBUMPAP9VYPkZAI5tdoxUGk5N7kJFA0gqBUcpNDlfEThKmSmR6d9/vfOgnAd7NnqCK/h1oRPWaQduMlTwDgbw9QLLL0FjuDsudG19zp+dbgh9UeF3hy3sHnpaZqJSRIfPXB0dPvOe6PCZTXMwmdoW4r02dw5WTRugqqZdqKqm/co8+h+/hwqZgx81z8GUqOA5GPB+tsVysLH1qPHftbXvwNWhP8QDfg5WrX6jYA52/8frl2px8+egJOEiXA4OfOijwjkoGmkVMAfzXCTMpEz1s8Oveb+kHKyrC93KchCAe4t0tbsuSJfnkAVSSTmYTqVQV5d/SJoSBSWqSRdtv2AyRWR65yNez5mD0YOfPQGQgjnoOGmkUqEyKXAOuq6D+vrcF0GTyaLD4LL9rvsxC/fLHDxgJmkoRf05F5gQPdIw9PVi4EQReCP2NLYCeE0UXgLwDoB31RPTAs1ikrxw3CkAXgxxGr+wH5s+EQCWn95PALwZKY8cp8xgb/hWmQ27LPDg8M8A9Ox497xmf7GLr+h5LoCnMp8zLBPlB5UHLsKyPAlgfO+JS5qly9u3HfKAmHJpsTexSHkEQWayy/DtvuPfeSj7ybkPtP8SgCUAoAxBWadEwTEjYgrsymAzO2lXX3XU8FWTs5+f9WJlL3jdWvLekEBFbFiJ0N3Vv3Fy1ZpHsp+cXB3rr0Xe1wEnCggyJXWGdwEMnDB4XZM3C7/16HUAw/JtmGvShpQI0kWOLVpv0SJd/jxs4+5jnjMjIkkln7hKCl5BBLxxVmZleZixQSsBHPXc0A1Nfl/7PG0qAB8AOKzJ2koAywJMw/t/EYgIJBGDBLya7bt01ZD1fw2zAVFrqn/9HBOCkYZpXi+GOlFE/BzUWwF5TZTsycGqgDn4UQk52NfLwSuWezm4NNLuuNrct+FrxrZiiNiBe7V9BqDnvI4zm+Vgz8W3NMtB02iP8vJhhYZ1FvIkgPFLeg9rloOHPDPvAdkev7TYuI2IG0GQmewyfPudS/o+lP1k++/N3Z2D4iokGsoKjhkRQ2CXBc/BVZOOapaDlf1eLJqD3rTUoSYuAoBvrHmzqlkOxrpW9xeR94NOFBCPF5+SOsO7AAauWzq4SQ76rUcFczDXpA0CKXpsrfUWEemycfmw3ceMdJkhIuoTEVU0B5UyUF5eGToHNywb2uT31ez4dM4cFFGwLAuGYUL8Qk9EEIsnArfq+i5dv3TIfpeD/xEtSPlEZz6ejs54Yo719LSzzCenlRnTphnGtGmG8eS0LsaT085TT0y7Rz0x7eWgxZFvLoBAs4H4rkleOK5xAOBoAMeFGQPkJENdBTkIwHeyn1x8RU8F4BfN9p1KY9e2ndBuSUX01wBMWz2xqkmqvH3bIVcHKY4AoGFXQ9hWpFs+emRgrhTbfcXQdTR2ba2Fk8r/fRMjREEouPH9Nw5vcsxZL1YqAH9FgVAASu5qN+nlJb1y3bviB9DaG1wXgG4IddyjAeSateY0FAgFwJu0wckYc6UBpIO0col0Ulo36XKiga+5gqKhAADaccO2Ih2O3IOcxyC7OAIAVwMNSaCmDthZC+yogd6+C7qm/s4wBwVw62ELuwe7qx9RG4gOn5mOnjBzjnXc02eZg/9RZgx60jAGPWkYg//RxRj85Hmqato9qmray0GLI99chM3Bj5rmYIUT/O/XCbEu8uRgz8W35MzBtLMNO3e9iRLnvPgaoKdVrX6jSUYc8sy8q4MURwDQIA1hW5FuGfjQRwVzUCsXtZFdcAqMcQp1YVRw4+HXvN/kmJX9Xmyag3l2V2JXu0m9jl+SMwe11oG7eaVSoVo7Ss7BZEN9szFXQT4DiUgnnZWDAL4GFL9ICHgtPSFbkULloNYukskG1NXVoLZ2J2pqdmDXru2or6sJnYPdj1m43+Xgf3SB1Bbsx6ZrAGHmsm8P4HL//38CAE6DE7jZ2U06BT/s53D91mtPzG6CPw/AwFwrp5N+kVRaS+NXoPDW6l9WGQDw1sRuIkpuD3w1Q3tFUgiHIasZfO4D7Q+CN3vObm7axa6ttaj9vA7pHAWmTgd/rSLSE1mDXgX4gQE5NQKFqBiIigEbCipHQrRGV7vJ1bFOAL4pACRocZ1KhS18c8029dMgGzp1DXDqk3sSK+DP3wVuvvyNgxUAnDMjYmvgjjB3dnZq67drHap/zM/PXtA1u0nvByG2/1Bv33kzgGdDbHMwgP8JsT7Rfs/u2/Ic7OTUQwV8b3TcdKgB4gCuP3HrOcFzMP0Zdu5aAK1LGbgsXwGct6pWv2YAQLe3Zog0WLcHnvFLvCIphGY52P57c5vnoF8k1Vm1jTewb0I7LctBGPiBVMipqpsBo4cJo7sJ1dmAxJu/7tboahfrWt0J/hisoL8LqVQKWocqPkvOwYb6OiQb6ncfLESrzs0HH/mGAoBIlxk2gDvCzJpaX18bOge79l/QohzcuXP7AZGDLJDaxgwAge9MDOD6lWccdRq8aUKhXY1UbfDf51RNqCsEvQDsnkZy8RU9DeS4apYpnUxj12clFkkuqiB4HABg4GwohGpLb9hVH3bQ308+emRgZtvudwDk7J+Qqkuj5tNa7NxSg2RtcnfBoB0dtnj48ftvHK4AYM6LlVUW1J1WVr9iJQJbFMzsUHRdOHX1y8McDMBX4Y0faPR9NM585DhAsVncvERYiHR6fohjnjx5UY/jG/9x5Qz7ZAAnBd3Yqa37C4Bpob6rIn3gfWgBgCvFG2QejHcZ8UIRuS/EEbsh4yprn6fNL8GblSqouz8+N+0A+BEQanT19Yct7N4zxPpEXwShc/DG5XtyMK4d9E7tCrxxMlxrQJMc7Ln4luI5mP4UO3e9VWKRZFQB2svBndGzUW+FysH68K1IPxn40EfFc1CAtJlCbaQGNZGdSBpJaPg56IbPwcOveV8BQOWXXqpSHY07VaXRpEeGRASqgwFp1/Sjp+u6qK+va7UcdByn6Cxu2s/BdMgc7HHMot05aHeeESoH6+pq/wJgWojjQbJyECFyUGut3RbmoNnx6dA5mN56bkk52P2YhftVDrJAagP2Y9NdoPBA8izdyuyKuzOfcJIO6nfUw0nnbk3SWtcB2ADgA6c+/ZbruGHmjr5x67UnNr5rnQ+g6FSqXkvSrsY3lXAcnLf61qqToHFR6Ju0aiBVl3onxBb94Aff3AfaGwAmFNvATbuo296AnVtqngZwLYDlTn2oEBwAYNwrLx0kJtQ/VYEXaUqzO1vscBqSZwJ4OcwBtdZ/m7u4Z+fJ1bEoMl6jAFDpNKQhCaQd7O5257pAKg1JJhdA5KCrR247VmxrLIAwU91kXj37Wd61mkvDu5p8kQCzJVyh/Ytxz8U6Avi5AAix7c/nnFX3T3hTHIe5cePNZy/o2ngb8utCbLcDwEMAsGrI+uXw7jwfVBTh3i+I9nt23/A5eJxqmoOdnAYcVf85ypxU7vtyZORg2km+5brhcvDEreeEy8H0Fuza9TZ0STMYGedVrX7lJJjORaFv0ipASkrLwfbfmxssB5WLBrsONdGde3IwXBf+AQDGHTTqFVEV6p9i589BVa6AWJPFO5LJhpJysOfQxZ1jXaub5CAApNNpJJMNcJw0Grvdua6LdDqFZDK5QEQO2vbxyGMty97rOQhgdsgLzr+IdX2uI4CfAwhzsfrndRvOKikHu/Zf0KIcXL90yBc+B/+jJ2loS8kLx1nwBrz1KrYuACSdJNbv+Cjv8sb+wFprQOMvR8764PLM5VuvPfEaAHfn2jaPM9fVr5kDb+DhkQG3qS/vWHGlaZl/ARBqxKq29KtbU1sGGgkj0B3efSkA11Z2a/eoKFmDImN6MrwHYODamnVjADwT4ngnj7xs2yuLn+0pYsgYq9L6hz9XfxCLNtdufVCJNBuoms3VGsk9VwMvPf3U7X99eUmvQ+ENhA48a0PKdT/8YNPW2+FNoRrUqRPOqnup8R+TF/X4I4CrA26rAfR/99+bOgJ41TIUTH+Qqas1kmkHed5NHrx3bPIyALj2tU5lSZGVjio+wLTRjpq66l219WcBgCNAqth9v7RerUX6zjmrTgPA2Qu6/hIBu0EAgOO6U1Zs/PQGAGsBBBulDPzu43PT1zf+47CF3Q8CsApe16GgTlg1ZP0b2U/2X9E/EYuWX2SakTMFcpCr3TVau//7dvfXV4bYN9Fel/woXA5u1kn8KvVRzvcRF0DSn63O0BoG9F/+cmTTHDxx6zmhc3DNui+FzsGK8pOuNM3K8DmoG17dsmnnQGNlt9A52M6pfFQQPgfXvbE2dA5uu2/kKz2/tVhEyRirLFwObl2y5UGxi+egTmq4m3YXYJdu/+DUv/Y6fknoHHRd98Ot6zeFzsG6DWftzsEexywKnYObNv27I4BXlTJ2T7agtS7Uve/B5OaxlwFApyNeKxORlSrARAuN6upqquvra/0xUFL0vl9a69Ui0rduw1kaALr2XxAqB13XnfLppxtD52B667m7c7D7MQtLysH1S4c0z8ETViRisehFpmmeKYKDXFev0Vr/79tzurdZDrIFqY3Yj01PwZsKNdj6ho2Elf99b3dzt4aD3H27H4Q3O09QN8Lrpxw0FADg3sNuffchf7tw/Qw0RihRFUHH92it/w3gpME3rLv30P9eug3AH0Mc7Sh4ze9B3/AA7015HgAMGrNWV525ZqaIhLmJ2eCIsm4LsqLac2HtOQB/A4CTq9Z8COCmEMeDpdShlfHorSE2WQxv8HSm3yH4z1IAXG8Z6u6KqI2yiI2oZSJqmYjbFipjEdjNZ65p8vt694gtuwCMDnMJLB6xdw+MNTRgFOj2oVztWI4e3Vgc+e4CEHiAuRK5uFNF4lVTqaCh4AK4J/OJVUPWf4YiXXZy+P1hC7tL/xX9rf4r+o/ov6L/zwasPOrV8rJOO8oSHe6LRsrOjUQSJ8Wi5RfHohUrhn5y4nND1p1Q0hSTRHuD3TdcDnYWG4NV7hxUAKLaRVS7sKAdtQ9z8N3DzngIpeQgZISyUKETwRq6NLwcXHfx4HuXXnLoXs3BtQ8P0mv+VhU6B632dqAcFLt5Dq55syp0DiqlDo2Wxfd6Dipl3G3bUdh2BKZpwTQtWJaNSCSWawa3Jjm4ZcWIXQBG6xA5aNuRjAkidMGxU1q7jtbO6MbiyBcqB0Xk4kSi4lXVghxcv3RISTnY/ZiF0v+EFVb/E1aM6H/Cip8NGL7y1fLysh1lZYn7otHIuZFI5KRYLHpxLBZdMfT0T54bctq6NslBFkht668AtgRd+aB4sfvXAQCmHjnrg4+zn/Sn7p6UY/18TrUlchs0oLSCoQ0orZCvCQBAHYDfAEDviUuehNdMHLibgSiRuBWHmyp+53bt6g0iMmjwDesyryL8HiGaiF2tb0WwO0M3mjTysm3ZJ/YHhGh6j1vxwPftAPA5gO+efur2zGNOhh9OQXVMxLsYwWcb+t2EpoUDJgxetxrAY0F3oLW+tCIaGWLkmJ5URJCIWLCbtvD8/d6xyQ8zn7h3+OZ34b3WQEzTQCyy5z3acjXstAvlaq/bjdZQrobpuLBcfdtzYxtWZW7/3NAN2wEECu3G11EWsQ/rUB5HRSyaWdDm89TH56ZX53j+TwBWBDqoUlCWNcxMJBbC+4D3KoBfVJR1HBGNJJp9s0UE0UjZWaZhvRJo/0T7Tqgc/IoVLAfvP7J5DvpTd4fKwYhdcxvgQKnPYBifQKkdKBBtu3NwSe9hfg4G73YuoiUeN+F23LF7rE8+OpLaIJBB6y4eXHIOatcNnYPb7hvZshzsFCIHlZeD2z84tUU5GK9IdAlx24rfZRUOWLd08GqEzMFIJDok1zTdIgLLimS38Pw9uXlskxzc/MHwUDloGCZse89tPLR24bppaO19pvIeLlzXgdbubQ2bxjbJwQ3LhobOQduOHBaPlyMajQWZVOKp9NZzV+d4PnAOKqVgWdawRDwrByvKRkSjkdw5GI2cZZpGm+QgC6Q2ZD82vRbem0sglrKRsMsKrVJsZqBJ8N7AA6kwKnvGEUcMMUQRRcz/z9A5m24nDbp/7abGf/SeuORReDcOC0YBUTMGpRXc+txFktYabtKFW+dePPiGdU0Cte/4dz5FiOBTIv1iRuD7YmwD8PfsJwcMW7kVQODBjZZhwQxw3w7/tV91+qnbP8l8/uSqNS68wbSBf4ZKFNqVBRrv+2/AnyyjucBXCEVElUUKX1CKWbt7Y7jI94YscitCvM7yRNOfpQJguxpRx3vYroapsVHyv5Y/AVgf9HiW4U2yEY9Y6FSRQHk0knMCPTvRHoeO+K/02IZrZp5dd9WkMfVXH924bNWQ9Sl4A1VzEqVgRKMwEwlYiQSMaBSi1CAAZQAQiZTBtgv3NLHt+JePXT/8+IIrEe1Ddt9wOXiQtjHI2ns5WFmxumc8/gJisbcQjS5FLDYfsdirMIycNd2ktYNu3Z2DS3oPexSQSwpdWWzKRSxqQiXScHt8Cq2a11ZaNNwOO+D23HLxuosHNzmJdy7pGyoHRal+0faB76GUMwdX/nFAuByMWzDjAXIwrQEXV23/4NQmObjmzarwOagEiXYFf2catVoOZhYruVgBclBC5mA02jzrvQLJ8R8uAL0RrZSDShm7C75EogLe/aWaB2EikcCIESPSYy9umHn2f9dNGnNR/e4cXL90SMEcVEohGokiEU8gEU8gGolCNcnBCGy78GcO27a/fOyo9a2egyyQ2t6fAOwMunK5XfDiyxNHzvrgg3wLO949bwu8q3WBRI0oDGlaDCkoRBHNLpJqADSb1773xCVTYAR4UzG8h4ggZsUBF3DrXLgNLnRaw027jYURdEqvBfBSnj39DiGuZLWz28Es0k/X9+DIy7bl2+9dAAJPExg3i4eRC70SwP/LtezkqjWrANwc9HgAELEsJIrfIPaeCWfV5XwdEwav+xeAfwY9XiISKTjEWCmB5V1Ze/Tescmcv69/HrZxI0IEvWkYiEeLtvT/ZObYhpzTXj03dEM9/AGuQWS2kIkIElEbncoTsBq7Toig55AxOGbUxTioU5cLYxFrTFksMiEesZaeU3/1K19JXtN4sjMBvNBs/35hpCwr7w17I0WKo8ZzU8oMfFWQaB8JlYNDrcI5eP+R+XNwXseZ4XIwmoKRNa5RqTpEo4tgGBszn86Zg0t6D5sCOAE+XKcBuN6Fl5gJJBrg9t0Et8vn0GV1cCtq4XbYCbfvRuhOO9fC0K2Tg33awagw896HKMOD2+4b2So5GOtY/L1LN+TPwTVvVoXOQStiIZIoelH0nroNZ+V8HeuWDg6Vg5FI4cwVUY1jkx5Nbh6b8/d14/JhoXLQMAzYxW+I/JOGTWNz5uCGZUND5aDKykHbjiKRKN/dhVBEMGTIEIwePQpdunS6MBaLjClLxCbEY5Gl51xU/8pXvpksmIONhZFlWXlvmhspckG28TyUUq2egyyQ2pj92PTPEWImD8uwoSTvjyVIP9vfIWDXNxFBNM8H+ggiEL37HfWeQfevzd1FIoqbYBdoPlVonIAaABAzY97du7V3BcltcKEbNHRKN16Em3LcxE9ynn/f8e9sBnBvsdfVyFIW2tmVqIyUI2HF8hVLutA+Bwxb+Qm8fu2B2IYNs8Ad17XWrga+mtW1Lts9jtZrghwv5ffuqIjHYOafvKAGwJ+L7Oo3QY4H+FfrirxpiUCj+O/rHQACz+NbHi9YfL4Df/acAv7P1XpDkGPlauFUSuGgshhs00CfoeeiS4/DmnW/ExHEo/aJStTHF+D66Koh6zWAHyLjb9KIRKCs4mOeLStYC6iIdA60ItE+YvcNl4NdxEY8f5epVs/BWI4r8wAQibwH2XMPonvWDro1T1fBhpuAhhX5W5IcAHumIY/FTK9F2nSh29fA7f4ZdLdt0J12AJYLAFM+OW5szvN/55K+4XLQtlA5oB3Kj6tE7MiEVyw1VzAHbQXAHAAAIABJREFUV/5xQLgcLLNhRgvkoKtdaHw1q2tdtnt0wBx0/XGpsfI4lJn3omir5qCIQrFWJEBaPQdjsYLFZ6Ac1C3MwVisDIZhYujxQ9GrVw8olSMH49ETlZKPL7gc0fVLhzTLwUgkktnKlleQdfxjtnoOskDaO/4QdDCehvZaWZp75shZHxSd5rPj3fM+AvBE0BOLGFHkmnJUIDBgAN4fbt5Btr1vWKJh4TrE4M3n07grBW/ek6wW2d2tSPn9X5FT/i2AwFO52iriNREbFsrsBOJWsw/ZM0deti3/9IGeOxBiMG6s+TEy3XbqqZ+/V2iFk6vWuI7WFxT7lXG0RtIPBhFB+/xd7f464ay6bQV35g1afbvIOruVFWmxEpEF945NFrwHyp+HbdyKEDNOGYZCIpb3uNfPHNtQ8Gf03NANacd1A93h28kzEYSIoGOPI9Hh4B4Ft7cto5vjurMvwPX2qiHr30HjhwsRqCLdBbzVVKELJdnnFGomLaJ95A9uzrm6m0sqjSNyfxB85v4ji+fgvI4zQ+VgNBKD5Ph7E0nDMLYCRXJwSe/TNJC+zustlYL3OVBjT2HUNLK8VqSCH/xaNQcjsCGGwGpvIXFUGWJHNPveztx238jWzcFOBXJQ47bP3xhZMAfXvFnl6gA52Dj2BvBb+/N3tftr3YazWjUHvS5n+YnIguTmsQVzcOPyYaFyUCkDkUje7+31DZvGFvwZbVg2NO0GzMF8E0GICLp374FuXQtPwmfbVjfHcWdfcDns9UuH7M5BEYFtBW0ZCjbGui1ykAXSXmA/Nn2jo9NLgqzr6HS+D9hhZmkJ05c2byuSf8eePwy6f22xmU+eh8IiROBNzpmAd0s6Czmb9WNWLGdRBmD+cRM/KTiYr+/4dzYCuL/I+exmitnkWLZhIWY2eVMr2rw9YNjK1QCmBD1mxLCbdV30rfb7HBc1evC6BbWO+9t84eBqjZ1ZN4S1TBPlsWZv2BoB+v9PGLxOI8TVM0MpxO3cAe/dc0Ln7XOc5S4A24MetywezfWb8+zMsQ1zgmxvGcYf0o67qdh6dQVutlverX+gu6AbSn0ZwP+7ANeb8KZX3Rmk5QgAVICxbI1E1KLAKxPtI3bf6Rt3msFycKeZxuGxWK4PKG2Wg7Fo7gt3Sn0OAH9YO+jW4jkIvcjriVYHrxdcPfLdK3N3K1Jz8z85bmzBHHznkr7hchBmZo8QWB1sRPs0yf2iObjyjwNWI0QO2uURGJE8OWgEy8F1bw1e4LpO3hzUWje7IaxpmYiWN/tMEygH1y0dHCoHvUkFcn/Q9wu3NsnBaO7f1WcbNo0NlIOGYfzBdZ2iOVjoZruHdO8WLAcNPwcvx+4ctMygORi8RBGRVs9BFkh7SUo3fM8tMtlN2k3B0WnvCkHTD/Gzj5z1wYKgx+p497xFAAL9oQDIPlamJLyuCgX1vmGJBvCroMdTovIVgQ8H3MUdWuvAt003si4s2IbVWDR9gODfp18j+EjcfGORbjjp/7N35mFSFef+/1adpZfZmWFRFkUEhkVUQAIOjiAugEJcr1Fj4k24eMVEjTGJiTeJ5rpGRIMRFYlGI0YFrj9RcQOBkU0UEUQYRHaEgdlnejtLVf3+6Nmnl3N6ehCkPs8zD0x3nVOnZ3rOp9+qt+odX+V41M/g/Ld1tv1xhDFwIcCFABMCYcZQa9kx80cyfV7orVMM3rh1UjjZyGBTW0RrFjjCG+fDvs35xtmXRlY5Ocfc0WXViMrBEQql8LeeRWIAfuP0+CWjDgmDsQsYj//+CVs27AR1IPVMNyUdcBWAl4aPuLYCwAPxPhG1RXG2dg4AoCq6q+KKEsl3RZnH+G+DJPZgtWqhTrPhpQpOaT1C/+Gzhc49+HHB26486PX4EXuhjuLIg9FZJBcepAQ+X8yBEOcehHMPqmh9T9G66yBa53owzlqk31QtLXbsQc75b23b/pgx1mK3NgHGWNwP8N4MHxSt1c/2jfChSZ3iwXgpYJzzjZGySx15sKx0tCsPUkrbziK58uChbaMEY+wCIXjc949tW+AJPJiV6WhTjEauAvDSuWNGVAB4wElgBaDd2sBEqKqSdg/KAOkokbNw2XqDhz6NFyTZ3ILBm9dH+lov0HZ8022B81EQQuGJseObgHj77Gf3JZuSbuRNRAvTOSKaZtfqj8SAw202T7tu80EB4XhLzrZZHdGUOxWIbu3tKE998Ogd2+EiZUNvv5ZsJYBFTo8HgCtGHRRM4EchxqtrLBs1lo1ay0aY8biGIoQgO6PVe8fxTffW4fsZXNQs8ajt5W4xVmZzUeT0HA38DS5ql2T6W71Xn317irHNTWcrx1ZstRg7xbDtDbzhvSGEgMU4AoaJSILZIwBg7mtrXwdgnt+fNxtC1Dg5gCpuZpDIHtdXJJF8B5zRfdn6Xf7Qp/GCpFrVwm5/swfbpNl1rgcphTdG6pIQ9O19Zz/QKR70+7S2IZljD26+6TRXHmx72yKEQO2iAdGtvR15cMfswe48mK2D6h3z4MHPRwlA/IhzVm3bFhq/OI+fSUYIgT+nVcq5Yw/u/3K4Kw+qMTzIGCsTgneqB9vMIj1rHJ7iyoMV34zdyhg7xbbtDaKFBzlnME0j4exRY1uXXAdgXkaGf7aAQw+6GCjsDA/KAOkowoT9SIjVwWDhhtkiBoubiLAQIjzYqi6CruiNOdGrCj/Ynsoe78sQLYjmiLZpdhzc4uD/7fT4U3/zRfwtnWNACW2b6vbmOfcedPRHAwAE5E9O/0B5jLkWAmIieZ53WxyndxBC4Gv+mQoAdxSPr3J9R7li1MGDAG52c4yuqo2zSJ8AWOuyy5e4EA7rbDS/HCGEsBh/lRLS5/GJIcfblgLA3NFldXCRDqNQ2vj66gDc66avRj4qKj+87NzykbVhY0h1KPJWTdhAwDBhseSfEyyXpSEbuKlw0MWPCyEcfchTXKTYAXC0kFkiORao1+xHvsyuw35vGDWqhRBlqNRM7PKFsD0jCJs231e66Tq8DR58trDzPdg2zY5zn8V5tmMPfnHqBHcepATe1rNIbx48Z4o7Dzqc0InpQfUoeLBLaw9WLS127cGDn49y7UFVUxtnkVLyoHDowZYfQ4QQgnP2KiGkT+jgRFceLCsd7cqDlFIo0YG0lD1YvqPocPmOc0caRnhIJBJ6yzDCME0jYfDZiG2nJMKbzhw26HHBHXrQxQwSOsGDMkA6urwphCizhIEIDyLM6mHwEGwRe/dMLfohKZVRMxT87WOXa0oUkIa3g4AAA7tl2Nzdjov7NfA6gJ1JWzXQZrMGp2kFAIB+13+514adNN3CFlZsMRCyety06jo3fQ4evWMzgLecttdp09T7vOLxVY5y72NxxaiDCxCjPkUitOio1mNtC8Mm49bh+8OmzRy9Rqt5+n0bIeScRy8OXPfIRYHEw07x+bsQwvH7TYuK74G3pxhu36OtWDuueuvacdVTARQhWpQuMYoHoYgF20EgFYObzzrjij7ctvcn7cZdgJT0fBLJMcSbNkTZIa+BrzOD2JJdj50ZIVR4zJgZbl201D34ccHb7jyoqE0z/0IQMJZ3y+5h/+hUD7bZrMGVB7+8qZ8jD1qwY3tQIaurnxnnyoM7Zg925UEto2mNzryqpcUpe/Dg56Nce1DVox5sWxg2Gfu/HB5mzHb0GnkbDwYOXHxd4MBFR8WDanQtzwPG4Skd8mD17nFbq3ePc+xBRVEQCkdSDZJuHjnyjD42c+BBdwFS2j0oA6SjSJdFK20u+MtO21Oi7ATwQQe6XOR0O0cgGiQJCHDw24fM/cbxlp6NnPqbL2wkLuDXrj+P4gGAw0jhdTJhX8gEi1tbgwuOCG+f6iyEABf8f9z214Dj0bOGdSR1AFLtqyW/EEI4LvBGCKlGNJfaNYTglyxR8nEDwYgpEM3NH/HghLoNqfTVyNzRZUG4eO80SGR2R/psydpx1WsAFAOYwjiviNfOpp6AAFBdH0olxQCEkNuGDpz0BrftI/HaCCFsRdGc1owpL8l/13FNFInku2Zsl5V2hDv3oI8eZQ8qKoQAOM+6/Zshi1178ItTJ7jzoELgiW5mkJIHbbALGRJ4EBwRRNoFn4IJcOMoeNCjAOT48yBAfskdeNA0I00erNs3oUMeLCsd/Z16sHr3uCYP8gQeVBQaEAKorqlP2YPDzhj4hp3Ug4pzDy7OT7sHZYB0lCGEPO4iNeyRwg+2u3/3NVDwt49tLpjjeglcMBCQ6YPmft2RP7h/wUUkryk6AMw/596DiRd+xGDwDTvqbWGdYQlrY9ufqS1sBHkg5qiZze2V5/7nkTVu+wOAwaN3fMI4S7htZyMN683+Ujy+Ku5NwClXjDpYQwj5qYtDFt46Kez6ZwoAd446VBEyrd8lep9GLCsctqzxD06o+/WDE+pcpRLEgxDyNOPc6cjbo29PMVpFvxfXP0rHlj90bXHFw2+dX/nwsuKKh54ZX/XIYKf9rx1XLdaOq35bobRH2LQeMW27XDRsjmEzHgkZ5nyt3/gbAcC0GKrqUguSFEW7bdigKXO5af6Z2/Y+wVgdt+0KbtvLBGPXEkLyVFV3erOX6XWS4w6FkMe5w78dk/NHni1M3YMfF7xtM+7cg4wzEILpXw/66Kh5UNcUAJh/8Jwpru/ZO24aXG/BPsOCtbFtup0NGwEEwWOs+bJr7ZVH7js3JQ/umD34E2Y69CDjgMBfqpYWd9iDBz8f5dqD4UOTUvLgoW2jKizLTOhBy7LClmWNr9s34dd1+yakzYPchQeNw1Nae/A/6unYy8qvLZ5a8db5P6xcVjy14pnxV1Q59mD17nGieve4tymlPSzLfMRu8GDD+qSIaRrz+57WL+pB00JVdV2KHlRuO+usQXNNy/yzbdv7GGN1NrMrbNtexnijB9Xv1IMklRcm6RiHfviDTz2qd2SiNhYz60JmKK/vkk0p5fI0cuS2Ij+AekoS75fIOEOtUX33gLnbHKcjxGPPo2f9AsCTTtqazERtpObMc+49mLS2RSK2zh8wWEDcCIjzLG4NA0FW7P6sTy1mFRX9rDzVKXBsXH3KjR5FT5q3bTErVGvW5RWPr3JcgTwZr67u+qFH0y5M1IZxzqrrgwX/dVG941z2WDy8ptutXk2dqSnNO3gIIRC2rDXBiHnZveOqnS5cdsyPV+Q94vd6fpuojWFahytrAye9PcVounkVHXnwdF1T1moqLWjbnnOxi1LydwALPsj6jePRRwA48/0MtS5siN2XR3MJisqn/TdaFFT0eTTkZfkcbXfaFiHEHxeQWe1Sh4orJ3kR3SfYCf9Xkv/uVa47l0i+Y1499INPe3kSe7DCMuu2hkJ5f+jbMQ8WHZnkB0g9TbJvMGMM1bXld28b8FmHPXjWnmXOPWgy1NQaZx48Z0qHPDjgn1sHC4gbBXCehfgetCrNT61Kq6j8gaKUPXjKTRtv1LM9yT0YtEJ1e2vzqpYWp82DXYes/lDzJPYgZ5wFq+sL6vdd1CEPdhuw5lZV1WYqbTxoWdYa04xcVr17XNo9mNd3xSMejzehBy3LPBwI1J5kHJ7S7MFLj5yu69paTVNjeJDvopRGPfh6lisPZvR8XzWMsLArLo968LLy1h70epCXl5W6B58j7T04tdKdBxfnp92DMkD6Dth32fCuXs13QKVqzA30ueAiYoXP6/XWZ6vT0d+BW0fe71V99yRqE7KCi/rM+fzqdPS359GzfFzwKkpo4ipqAAw7UjXw96X56ei3kS9ePkVhnI/hgt0FkMGEIJsLsZMLPmf0TWWucphjsXVdf2Iyc6eu6H3jtRFCIGSHp59z3rfPdbS/lry2uptXQBzwaFrMnxkXAmHD+OWPi6uS1rVwwuPrT1YjljVVoXQ4F6KWcf7CPWMr4k69d5TL3vKQLtkZ67wefVSs5y2bGZZtD395XHXT6OWYsgfy/V71gKIkf78pFJ9TSpZzLma/m/GbfW6vr6h82l8QreXQRMeCJHuFEOYtC+nTpY2PFVdO6g8gYR2UFjxekv/una47lki+Y2bvG961v9d3IEuN7UGTc/FNJHze9F7p8eDIAxfc7/P6E3owGKpf9HmflWnx4Fl7lvk4F1WUkqT3pYhhV5UOvCStHjzlxS8UHmFjWIjfRSgGg5JsYfGdPMLnlP1hdIc92P+2rcQMmDv1zMQeDJeHpn/76jlp9WC3oau9Ajig6bE9KISAETJ+WbW9OC0ePHnwetWyrKmU0uFCiFrO+QsV34ztNA96ur9FMjKy1+m6J6YHGbMN27aHV+8e1+zBSWX5fr/3QMtALh6KQj+nlC7nnM9+998Z7j14WXl7D/o8yMtNOUhaIYS4ZeE82uzBqZXuPLg4P+0elAHSd8SBKSN7KVRd4VE9/Vo+bjGr0rAj1/R5+/Pl6ezv21tHvasr+sS2b14hBExmLOGCX9Z7zoa0vRm2PzToNY/q+Y9k7cJW+J+D/rD9P9PV79FifcnJJ3lVzzaVqjltnxNCwGDmi8PH7rupM/p+aUVehqaqJbqmDqctfp+WzcKmbf/6x8WVjtNJjkWmr+tBAqHIw15du1VRaAYhBDZj3Lb5uohpXvX6RfVlLdsXVz78jldXJsc7HwGg6wS6Rppu3tE6Gths2eKSd3x3lcU7ti1F5dP+AeBnbR/3ezXkZcUuNJkMzg0AbBWiVcYXHKneMxrO65L8qiT/3aQFECWSY5HnDozsla2oK3p6Wnuw0rIq9xuRa37RJ70eHPXthHd13RvTg4YZWcI5u2xD7xVp8+Cg7e+/5vGoyT0Ytv+5fdAlx50HT/6P9Sd5cr3bVG8MD3IBs854cd9Lw2/qjL7z+q/IUDW1RNW14YQ2/z6ZZYdt0/515fbi49qDPQrXkUgk9LCm6bdSqmQQQsAY45zb60zTvKp+/0WtPTi18h2vV4/vQQLoug5d19p4kG22LPuSd+b7nHvwsvLYHvR7kZcbc9IyKQ3LvZo9eKTanQcX56fdgzJA+o45MOWcfoC4gYCoTLAPMj1Zq7ssWtkpv5T9M0ZcplD1EUpoTwAqF+xrLvhjvZ76rMOjSW3Z+uAAv67oh1Wqxq0mZnM7aNhG3pB7dqQ8zf9dsq6kh1en2vMqVS+jhGYC4Da39zPBfzdi7P7XO7v/l1bk9aSU/kwIkUkI+TwUMRZNvziQUr710eC8in8Xqgq9D0BvQhCwbf7PkoLrXkl0zOVL/LnZmb4Mr64dnDu6LObfxYSaRyKKQj2xngOADB+FosQe1WJMhIXA4P+n/XqPk9dQVD7tPQCXxOzHqyO3fQX3pETzu5syCeot29hQH6ocZzNHGSlXluS/m+IiZInk2OAfB87pxyBu0AlR6xn74OzMrNVju3SOB0fsH3eZqmiPUBr1IOPsa87ZY5/1Wp52Dw7Y+p5f15XDqkrje9DmQcNgeTuGTDwuPdjjynVeLUN/XvWpl1GVZkKA24a9n5vsd/tfHtHpHszrv6InVZo9aIQiiwL7Lj52PTilolBVlQYPkoBt2/8sWVyQ0IP+k5fk+nyZGZqmHywrHR3bg1fVRBRFie/BDB8UJXZdIcZYWAgx+P/9U9vj5DUUXVYe34N+L3JTCJIa1zk1UG9Z9ob6+tA4hzvlXVmyOD/tHpQBkqTT2PpA/yJd9XyoUrXdp0ab20HTNi4ZfM+OtKRPSI5diiv+TVSVLvHoSruRW9NiFRGDnbOq63V7Ujn3iH3/m98l11MRb1rf6yHQtcR70TAuDiuUnLKQ3Jm0Kn1R+bQvAQyN93ymT0dOpvsgqWEWqdVjlm0iYtYjYgYh4hSYBjCyJP/dDu2cJJFIOo/+W98r8ujKh6pK23vQ5kHDZJfsGDxRevB7TvHUCqKq6hKPp30mj2laFZGIcc6qt7vuSeXcIybsy+/SJTe+B70e6LoW87lGGOOHFYWesnAeSe7By8oTezDDh5ycuGMCcYm1aaBl2YhETEQiZqLNIEaWLM5PuwflLnaSTmPwPTtWG7aRF7HCL5vM3G9zO2Qyc3/D991kcHRioCh0mdejtpMCAOiaUuDzqpvHV7/WJZVzC6Aw0RiPpibPh1Yo6S6EePZqMctJ8vTJ0X8ICPGAEh8o8YEguowiEDZRG2y/tXwyGopCt0JTdWT581GQ0xvZGQXQ1Jip5XIXO4nkGGbH4ImrDYPlhSP2y6bJ9ts2D5km29/wfTcZHJ0YKIqyzOv1xPagrhX4fN7N46+oTs2DAoWJJjsa6gYmuT4a9eA04cKD0WLAtOGr8cBAMIzaOof15lsQ62ejaSqysvwoKMhBdnZGvNfSKR50VY1QInHLkHt2GABu/K6vQ/LdUFzx7zMy/Nr4RG00lWYJId4EcF4KXQyybA6P3j51QFFi33Bj0bB17EYAf4vXpqh8mg9AFwIdtM1+EIRoEMIDLkIIhAyolH6V4dOHuHkhCa4NXj0TXj0TphVGfagSjNsAEAJQmY4+JBJJ57FjyETpwROY4qkVZ2Rk+BN7UFM75kHLhsfTfr8TRVHS68HLyhs8CLTdFJIQgsbSGIFACKpCv8rI8KXPg14dXq8O07RQXx8CixZs7zQPyhkkiUTSaVCFzHJyc9Y1Zezk8KKE27bGoTAcsWNOvaeQPTzrajHr4gTPnxwrOGokOpLmB6CgJhB+H8BfnXacIIWuFbrmQ172yaBUBYB9JfnvyhxpiUQiOYahVHHmQV0bO/n6cGoeDEfieNC1ImZdPU0k8WD74KiRxhklAKipDbj0oLNr1XUNeXnZjdewr2Rxfqd4UAZIEskJyJjDa8iQb5b3O3PPyuKhO1fE3aa1w4j4ecoxeH5yeFG2yx4G2UwgEGofJAnuWg4UwGtXi1kDYj1JoI8jJO4a2GgbQkCJDgDfArhbCL4gWafR4MjRQtToRRKKbH8BINPrJBKJJGXGTDpMhhR90+/M8/cUDz1vZ+d5EMKdB68Pu/egzRAItC9eLgRPzYPTRBwPYlyyYK9FkNTgQeHAg+5iHEoJsrP9QCd6UAZIEskJxrDdK39l2aw6O8vzjd+nrczM0HaNPPDxkWG7V7ipUJ6U4fteKuBC9HBxSG8Aj7nsphAADJOhps6EabGmG60AYNmuB5ZyASy+WsxqtW1tceWdXkI8f3aWqqACoDWv4zFBCL1WCLYuXsvozj3u6yfqmhcK1WR6nUQikaTAsPN3/8qy7Ors7Kxv/H7fysyMjF0jLzxwZFjx7vR68IJ9BZwfJQ8aJmpq6mCaVrMHRXSjA5dEPThNtPbg1EovIcShBwEANa/PhSCEXCuESOJB95NAuq5BUWineVAGSBLJCcSZe1Y+keHXZmmq0nTjI4RA05Sufp/2z7P2rvxTGru70DCcz4w0MG1yeNFEJw2H7/tfH4CmUT/GBeoCFqpqDQRCFiyLwzAFOHd94x0I4N9Xi1ktFzb9hRDS28nBhBAQ0CoAeB2PiQXkiTFCWPcLwZssFRUCgxARAM7S69ri1TPcV+STSCSSE5wzx+15IsPvn6VpahsPal39ft8/zxq3N80eTLoxXFumTb4+7MyDF+xr7UHGUVcXQFVVLQKBECzLgmGYMXeIS0LUg9NEBzyIqAfnQix4jowRQtwvhGjjwdSCo0a8Xr3TPCgDJInkBOHMPSvH+bzq7fGeJ4TA61HvG3ng44vS1OUlls1hWa6DpHmTw4tyHbTrD6DdzVEIIGIw1AZMVFZHUFWbcHvQeEwC8DAAFFfeeR6Au1wdTZQvWn67gMz+oxARH+eRn3AeKREizIQwEJ3nSpldHTlYIpFITjTOHLdnnM/rTexBr+e+kRceSJ8HLRuW5brM1bzJ14c74EGBSMRAbW0AlZXVqKqq7ZgHp1am4EHS2oPPkT8KIXyc859wzkuEECwNpYY6zYMyQJJIThAoIfc7yR1WFLpgzOE1blIC2jF830sEwMUAUBtwHaD0BPC4g3aDkjXgAqgL2KgP2qkUgbzrSvbodAAvIoaA4iGEXbmq4Kk9bR9fSJ+2F9Kn/rWQPnU+gD4A/gBgZwrXBQCgVHkp1WMlEonkRMS5B5UFYyYd7pgHL9jX7MHawHfnQS5QVxdAfX0wNQ/+jKXgQVG56q2CPW0fXziP2gvn0X8tnEfT5EHaaR6UAZJEkoDTF311ct9XN4/rt2CL+9LQxxiKQkY4aUcpyQGwYMzhNe33DHXOEDTUSrBtjmDI9ejZTZPDiy5L0qbQ6ckqqs0XAMx2exGE0KdVRXe1eFeA35uszUL69MGF9OmHAAwAMB7AfACOCygZZmjnO76Xv3ZzXRKJRJIKpz/21cl9Z20e12/W98GDikMP0qgHJx1OkwdtBIMht8ffNPn6cPo8WFGdogfJ06qquPQg7k3WZuE8enDhPJq6Bw1z5zvzfZ3mQRkgSSQx6Ldwy7SBi0trPBmebzPyMpb7sn11A98sLe+3YMvl3/W1pcJpWz4s4AKx96eOzVg4G72KiRCY1PL7QMiCZbtOtXtucnhRosJ5SUfOWrANwK8BLHVzAYQQmpOVD0ra11mKhRDso1UFf/+70/MvpE/zhfTpFQvp0z9GVKS/EEJsSnSMzawI4/b5TvuQSCSSVOg3a8u0gY+V1niE59sMnrHcx311Ax8rLe836zj14IgtBVyIo+hB0dqDgVAqGyY8N/n68HfvwZwsUOpsAkkI8dGqtwqce3Ae5Qvn0RUL51HnHrRZhDHeqR6UAZJE0oZ+C7c84830Pqd5tJyWU/GaVyvwZnnfOO31L3/bWX0P3FzafdiObx4avnf33lEH91mjvt3LRh7YW3XWrl3PnL17V0cKO/+AM9eLNGeMObzmZ6l0JgSmt32sts51ql0PJB7tcjpyVg/g0EJypw3gWgDfuLkIhSrIycpP2k4IsY8QJeUPDgvp09UL6dNPLVKeOUsIMdK0Ius4Z01RJedMGGZoXTBSc9oS//xvU+1HIpFIktHvsS3PeLn3OU1oOaRFZpUmtAIv975x2qxO9OC4E6MTAAAgAElEQVTvSrsP+/Wuh4bfsX/vqNsOWqNuP8hG3v5t1Vm/2vvM2b/a20EPuh6omzFm0uEUPSjae7C27rv14DySmgcVipyc5BOIUQ+S1D04j1YvnEefWvQPJepB01rHOW/hQS4Mw1wXDEZOW/KKv1M9SNKwQEoi+d7Q99XNI/05/k9JgpESzrgwQsbwnVcP/SJuIxecsuqL/qqu3k1VOsGTofXJyPaQWDnStsWORELWoC0D+1e57eO0LR/eryrkni55PsdVtRswARSv7X7uJ04PGPLNyz10jR+K1U2GX0NWhuuMhSuX+K56o+UDw/f9rwIgADiaFVv/eZ8//qDxm6vFrEEAPgHgKl0kYoRQF4z7oxcAxpXkzypxc85kFFdOIj5P1tmq4qFho+6Lj3LfdD38KJFIJG7oO2vzSD/3f0oSLDnh4MKgxvCdd6bJg9O+6K961bupTid44OmTYftJrP5tYh+JaMagLTP7uffgiC33q4pyT5cueal58N3uzj049pseuqYditVPRoYfWVkZbvoHgCuXvOJr7cEL9rnz4Ed9mj04TaTmwYiBurpgvKejHlycn14PTq0kPp/nbFVVaDhsfPHR/+UeFQ92JBKXSI4K3e5aM4VQ8hNCaW/B+A4hxD+OzDx3RWf0perqC4mCIwCgCiWqrj4L4AcJGybh1NWbCFXofE+m5zpCCVSNIjMn/n1O1ZRuHh9KAFfFVxsZbTOBcMSG36c5aC5AiIAQRAewaMzhNSPXdj+3zGFft8VzTzBkwasr0DRnKWsNPDM5vOjjJb6rKlo81gfOpAAApS2/WUju3Ha1mHUdgLfgYtGp1+OHzSyEIvWxnn4s3cERAJTkvysAfA4A8KX77BKJ5Hih25p7pxCCnxBKegsuoh48974VndGXKtQXEgVHAEBBiSrS4MH/2kSoRud7cj3XEYVAZQoyzfjBgyrUbh5bdMCDDOFIBH6fsxsqIQRCiKgHJx0eufbd7i48GPtnGAyG4PXq0DQnLm7imcnXhz9e8oovPR6cR7ZdPU2496DXA9tmCIViLhV6LN3BEQCULM5v9uBRFKGcQZIcs3T/zdouRKGrdZ/eagpZCAErbK4RAhcd/uto16se4/b37LqsnO451bpPT/rpXQgBQshZWy7plzBPNhF9121+Xffr1zR+n5nrhZa8a1gmu35Dn1P/7bSf07Z8qACoRsNIUZdcb9wAhYBDUWwQ0nxfEAJgXN0mBDlrbfexCauaDt4xXyNEHPDovFu8NqpCkO9yJksIsShs1PwUDfti1wcOXywEfyPJYY384fM+f3yo7YNXi1m/BfCI44uIXgdq6itg2a3qWnwFYGRJ/izHi0slEonECd3X3tuFULJa17X2HjTtNQLiosOj702fB/+2LivHzqnWhQMPQoCAnLXlrg548JbNr+vZLTxoZEDjyQMHi1rXb3iit3MPjtjS2oN5uXEDFEIARVFaOUoIAcb4NiHEWWvf7Z7Yg0U7NELIAY+ux/egqiA/391MlhBiUThsNHuwPnCxEMK5Bz/q096D00RqHqypb7ueKurBxfnfGw/KNUiSY5Kud64miqaUtg2OgOiIju73nKvqypY+9230p7Hba4jD1fgNN7WHU+3o1NWbztN82jUtH1M1Z3+OikofHl22383s72C0mEavqTNiFk8lhEFRrFbBUfRxQFXsQQq1NxZXLk/W79VCoFuicRebCQRc7mpHCLlKoVoAQBBAMCuz+xvZWSeh5VdWZnf4fV2gae3eEtvinPZRAC+7vA5k+lsVF7cB3CiDI4lEkm66rv4zURRa2jY4Aho86NHOVRVlS5+ND6bXg3DoQXTQg/+16Twtq4UHBaByZ2pTuPLw6NvKUvdgbV3M4qkNW3y3C1wIIVBVZZCi0I3FUysdeFB0SzQBYdsMgYC7uJYQcpWi0GYPZmW+kZ2dhZZfWVmZ8Pt9sYK/9Hows9VbLurB71FwBMgASZIiPa5dR0667pObev740/U9b/xsU88ff7ripOs+uSBd56cKfVD1aF0TtVE0tS/nfFWf+zZmp6nb/7QNV6mtE4e+v3NCSj0RtK7FQOB4JIlS0gfAf7vobXTLbzgXqKmLtFkoKqBQG4kugVIxWAh8WFy5PKaMB++YTwD8CiBgLPFrCYYsmJa71bK65keiTABCKFTVA583B35fl5ZtS2O1X0juFAD+C8B6N9ehqTpUtWkd1b0l+bM2ujleIpF8PzhvXS8y5pPeN4349NT1Z3926qaRn56y4txPeqfPg5Q8qGpqYg+qSl/Oxao+Gx9MnweJSw/OTJMH0RR0JYWCdtCDHDUxNkxQFJrQxZTSwUKID4unVsb2YNGOBg8CLInigsEQTNNdJXVdTzy7Fg3kVPh8Xvj9rdLRYntwHknNg5oKVW2KE+8tWZz/vfOgDJAkrjnpR5+crHm1Cm+W7wXd7zlH9+nDdL/nfE+md1mvGz/b2uPada4Sa2NBFfpzR+0oPRvA0j73bUy0DWZSuj+7bgCAsUbQSNq2DX8d+v5OV39HJ723PptQMqbVgwIxZ3US8JfRZfuTb60WZUzbByyLoz7QnCVACUsYHDVCCMYB+KC4cnlejKdHAzgHAGxGEGNwrgkhgJo6+wkAjn/ghFDoqrP8Y1X1wOvJAqIjW3GL0C0kd0YAXAHgkNPrAKI72yG6wNVVaoJEIvl+UPRJr5NrNL2izJfxQpXHe06N7h1W6fGdf8jrX3b2Z323nreuV8c9SIlDD5KoBzc+2DEP/q3BgyQFD8506cGr1mcThbRzE4er3Vb/Mvq2sg540EJ9IND0PaXE0UAlIWQcgA+Kp1Ym8SCLOUvViBACNbV1Lj1IoOvOJs5UVYXX6wGSeXAeSc2DCgW+xx6UAZLEFQVXrMrSfNrXqkdrdyMmhEDz6YMUXd3Yd/pmV1vEtCRr2tKTiUITjpq14RwAK/rct7F7qn0CuAkALMOCGUmYXtyW4YhumemGGwUT7eRpRVyN2uUB+F+HbUfHejAcsRGORFPd2qbVJaEIwMfFlct7tXn8jub/EpgWhW0TtBygEwJgDDBMWhEKi3sA/NFNx4qiw+l6Ul3PACXK3s/7/DFhPt9CcudBAJcLIdx8KjAB/KQkf5bcVU4iOcGYtKpbVrXm+Tqg6e0DEkJQo3sGBVV1Y9/Nhal7cOndJxOaggc3PthxDxILJjkKHrTbeJAAluIq/brjHgxHEA5HM8Nc7mwX9eDUygQeBEzLgm3brWaqouuZGAzTrAiFwil40PkmR7qug1Ky9/OP+iT24DySugcX538vPSgDJIkrVE39P0VTE+5Pqfv0IVbEnNGBbq4QiaYfAIACql+FJ88DT54Heq5+huJVvjj1gU393HbW/dl1CoCfNn4frIq7hWU8Hhj6/k6Pk4YnvbeeALiVxZhVj4Qtt/URbh5dtv/MRA1O2/JhLhIUkqurN2G5m+FvZAiANcWVywcBwOAd83sDuKp1EwKbURhm9Mts+NeyFQDkqa39bzAAzAKwzmmnhBAo1HnauaJ6Kp20W0juXE+Is9FaIQRsZv2pJH9Wp1Xwlkgkxy5BVfu/sKol9GC17h2SYxod9GAyH+hQ1VPh8ZwDj2cUdH34GYrS84tTNz3l3oN/a+FBAgRpCh6c6dCDVzV40IjhQdWAgEsP3laW2IMjtiTxYD0sy9262AaiHpxaGfVg0Y4YHozOJBmmCcM0YTb8a9k2ADy1dXX/1DyoOP/4riiqMw/OI+48aLM/lSzO/956UAZIEsfkTlo+RfWqFzppq2jq/X2nb3ZTsbolVydaC0RUAm+eF1qGBqpSUJVC0RToWXoPLUvb2veRzU4LpzVyMaLVmwEAtmkjEnS11rAvgFscth0HYJAdscHM1nLgTMAIuxqIoQD+Nrpsf6Jhr6RbsNbUGWA8pYHO3gBWFVcu/wGAWwHEGdYiEIKAC4KG2R8TwDMAsMR3FQNwk8tRK8coVK1z2nYhuXO+aUWWJGtnWpFDjNmPduzKJBLJ8cj1y3On1Km6Iw8GVe3+vpsLU/egHX/wipBMeL2joGmngdIsUJoJRcmFrg/soWkDt/bd/GLHPEhtREgnezBog0XaeJByGKorHUQ9eFtZxzxYWwfmvpg60OjBqZVJPBgNKnjzIGizB1/xda4HFercg/PIfNO0knvQtA4xxr7XHpQBksQRuZOW9wDwPKHO3jJUobkAfu22n6xpS7sDKDYCEfBYNysCeHI8iFeriKpUV33q2v6zt7rJ//7Ptg8Eq4NuZ3P+Z+j7O3MdtLu18T/hmjC43fo1hoOm27VI5wO4OsHzMdMKWhLdtMFCijv+dxFCfKRrnluTN23i31v739BUS2KJ76rtAH7v9GA3vxcB8aGL6wJAphpm+PN4z9rMCpq2Mbwkf1ZKJpVIJMcv1y/P7QHgecuhB22aogeX3h31YMSMs4ZFg8dzNgiJXXSb0kxdVXuu7b91Wcc8qATdzub8z9CZLj14OAxutfGgGnG7FikNHoy9aYNDGjyoufPg6v7NHnzF13keFHDpQUw1DDO+B20WNE17eMni/O+1B2WAJElK7qTlBMALAArc3Svxh77TN/d22d3lAKjgAsHKQLubgOpT4wZHjVCV5gohnnPSWfdn1+UD+GHbx7nNEal3NXqWD+B3iRqc9N76Xoi+vqY+AuUBGAGjKVDiNkewJuymXwCYObpsf7xtXhsWplIo1AtF8UGhXpA2u7gaBodlk3+57RgACCH+rMwumR7dcQG3v8U4x2zO2eFkB3LOwIWzWTbOGVeo9ozTiwKAxfrvWW2gcmTYCP7dss36xvcf44yFjeC74Ujw1Pcz/uK0UKBEIvmecP3y3CYPEnci/EPfzYWpeVAIBAPh9h5Ue4KQxLEPpZm5QljOPPi3OB4kHBGaZg9e1caDFkdgfwBGjdEUKHHOEYTrFL+Zo28rS+JBQKEUiqJAoe13qzMMA5Ztp+7BrMxMjx47aI1BHA9yBx7kjgdSOedcUag7D76ks9rawMhw2Pi7ZdnNHmSchcPGu+Fw5NT3X8v43ntQBkgSJ/wCwEQAsMKuZoD9AP7qsq+mUSDbsBCoqEfLPGzF42xxIlXpjwfOKXWSYnA9gJh3tGBNMOEONDG4Y+j7O9su2GzJdLSdfheAUWcgcCSAuoN1CBwOoGpfLYyQ5abjPgB+0/bB07Z8SAE6RlUy4NFzoap+qIoPquqHruVAVTNbNq89UmHdxDmZmcoAGiEEWZl58HkTpuUDwMqt/W9otx3oEt9VjAt2CU+w+EwIAdN2XjfCtiN/XdX1VsepBY2U5M8S73j/+Ms3tbuzLdvMrQ9WZ1bWHNLf8f5x8vuZf6lIfgaJRPI9pMmD+cZR9KDFEKhvHSQpirO9GyjN+fHA0nUd8yANup3NuWPoTJce5IBRYSCwN4C6nXUI7A6g6ttqGKbZcQ+O2EIBjFEVBR5dh6qqUBUFqqpC17SWW1UDQO2RIxU3cc5npjKTRAhBVlYmfN6kWZUrt67u396Dr/gY5+ISzkViD5rOU/Ft2/7rqre7uvfg4nzxznzvL998Ucu2LDu3vj6YWVlZo78z3zv5/dcyTwgPygBJkpCciR+dIYSY1fi9ETKRfOFoK37Ud/rm8500zJq2tADA+JaP2RELgYo6t32CRKdInhs4pzThe1wI8cu4z3GBcK2r2RwvgPtiPXHSe+t1RMXgiLrDgcVuOgbwu9Fl+/s0fjPo6w0ZupbzpK7lZCtK7HWzCtVbBkmf7Bp6EV/VddxvCMHlQjjfdrQlGf4c+H0Jy3E8Ee+JDzKv28SYcQHnrN3QoRAchhUA58nFwAUXphmcs6b77Y7TFeKxWP997fuZ/xuUKXUSyYnLDR/lnIEWHiwwwyDuPkD/qO/mQmceXHp3ew9aNgJ1oRZBkrOPbk0eLF2X2INI4EEiEKZp8uBVDjzY4sdaV1/r3oO3lTV7cMzXGbqmPalrWna8nd8USlsGSZ/s2jCUr3q7628IIW53dGsiI8PftgZRW+J78PXMTYyxCzjnMTwoYBiWo4FbzoUwTXPOmiXdO+7Bl/Ta91/LDH7fU+ra4qYKseQ7Juv0DzTBxX2EksmE0kzO2F4hMDO465J3O6W/i5b6CSGraIttwwTjiNSH4ctxVbh7dt/pm0fsnjss2afbHyLGAkfbsFFfXofMrllu84PHArgZwNOxnuz21NpriUr6JzpBqC4Eb5YXiups5kpA/Gzwhzv+vfWi/kvbPHUFAMfbr4ZqI39CtFr2DQ4P8QF4dNDXG34E4DoAfyVE6ZnsIIXq4FQH52bTDjol+ePfLK5cfhGAxQCc5JO3wu/LBKUUgWBN26d2A3gr0bEfZv145QW1/8xRqDadEHoZhMjjgtXazNiDZnU27vZAhBBECNaDc9ZLQIQEZ1sIoQ+u6X77PrfXLZFIjn0+uDRLExD3EZDJlJBMJvheCDHzkiXBTvHgzUuz/Bohq0za7EEP5+gZDuCAP8vNqWb33Vw4Yvew0tQ8aDPU14WQmeWHEK52XEvswSfXXkuQxIM0BC/3Qom//0ArhBA/G/w/O/699f4OejASTs2DY75u4UHiwIMUnFJwzps9uDj/zeKplR3woC/qwUC7OCe5BxdkrbzgytocRaHTCSGXASKPc1Fr22wP4npQ9OCc9xICISH4FkLIg2uWdJce7AAkxQVpkqNMRt/3xqoe7X1V11pFJkIIWGHjE0VTi2u2XeCqcEEysiZ8+Kqiq+1rGxAgu0eu46ChgVt3zx02J2F/05a+B+CSeM8rmoLcPl3gyXG0k2gj9QAGb59ReKDlg92eWNsFGnYRleQkO4E304usAuci5JQzrvPfA3ii9PyBFgCc9N76EgDnOTzFx4cmjioeXba/J4DtAJLmrTUSDNVssW1zqOOLBcC4CdsOTNo19KL3Wj5eXLn8DADvocXORm4wzDDqA9UtH7pza/8bHk/lXBKJRPLe5IyxmqK+rylqOw8atvWJqijFFyyuSasHb/0w69VqVWnnQQZgU25XGC5q0gC4dfew0sQeXHp3Yg8qFLldTofHM9hNv1EPFo5u7cGn13aBjV2EO/Ag9yKLufBgPWd8f4MHn2/w4FUuPbhoVPHo28rce/Dr0Ba71nbpQQ7btift2jC0tQenVnbMg4bZqhgtgDu3ru4vPXgcIFPsjgM8Pd/qpfk8H7UNjoCGqsp+7w+EENvyh5U4XiWfDP/573mpSq+J+aQAwjXO14I0cH/f6ZsL4j2ZNW1pFwATEp2AWQw1+6pj724XnywAcwbOKW1ajdntibUKgFdAkFQKABCJ7qiXdOFkI5RTBRx/BfB54crtRSe9t/4MOJcCADwFAOt69P4WwIMujoPXk+FKCgBA0FQNuxUl+eO/BHAuonJyjUf3wetpcloAwPOpnEcikUjeusTTy6NqH7UNjoCoB72a/gMhxLaSy/PT5sF73vN7gzS2BxUAp4RcL+24v+/mwvgeXHp3cg8yjprq3eDc1eYJUQ+Wrmv24NMNHhQOPUgi4HDhwSyqQG/w4M+2F510VYoenN3DvQd7eVLwIIBYHlyc3zEPenR4vU2DutKDxxEyQDoO0H2eFxVVSbhljaprpwkhluUPK3E15x8PwcUVhMbfy9QKm7AirgbqklW8ngoHKZ/MslF3oMbttPEUAC0ldx+AS+Cw9I8QggsuXG3VSqJ1hYYCWOXX/a8Tp50BZQDeaPH9LAC7nB6sKBp0zXXZjdCuoRdVx3qiJH/8XkRTNNa7PSkA+H1Nb8fnt/a/oTaVc0gkEolH1V9UaGIPaop6mhBiWcnl+WnxoC7EFSYlcT3YxTSQY7pappIeD9oW6mq2pMeDDhFEcAGXHsxq4UG///W2u8YloGMe9CvQu7rZ4RwAENq1YWhsDy7O76AHm2L257eu7i89eJwgA6TjAKoq5zppRwgZA+DD/GEleR3uVIjYs0ctCFWH3K4Jurnv9M1nx3kuUQ2D1v1WhuYKIV510zGAJwfOKc3v9sTaywHcAwCON+bh2KFoyisAVjvtjIhmEWiKVpjpzYSW2O2NzD00cVRT5LmuR+8IXNbR8HgyAecBGQT42kTPl+SPrwBwAaJpBq6glEJRVAHgSbfHSiQSSSMKpa48WHJ5foc9qAgk9CABcGqoDi6LyN3cd3Nhxz0YOpCaB0vX5Xd7uoUHnaqCYIcClx7UWnhQ0wozMzOhaQ49uKiFB2f3cO/Bnp4EJVvbI4DEHlyc30EPKtKDxxkyQDrGoV0W5imq6mZK4AcAlucPK+mWap/ec9/xCy4uTrZzHLcZjICraX4C4Mm+0ze3uiVnTVuag2gVb6csJITcDqDKxTHduODzALzU9Ej8IuVNCCEAgT9tuaSfAPBbp50J0vpnRwmFX/cjQ89AggFJBmBujMffBNB2sWtcKKUtU9sSX6cQENy+OVm7kvzxQURHN192eh2NKFRdvbX/Dd+4PU4ikUgAYOEEmqdSxbUHSy7PT9mDM9/x+j1CXKwmCX78jOGkiKuU86gHNxe29uDSu4+OB03R2oMOPgUKCIDgT1vuculBu40HKYXf70dGRgYSJKikx4Mahbens/XKUQ/y5B5cnN8BD9LVW1f3lx48jpAB0jGOEGIIZw4+ybfmTAAr84eVJN29JQ5TAGQwB3vth6uDTAhR7uLcRYjuLtO2P6fz4Vvq5124ffuMwiMAfuWiX1BCL1eJ2px6wdvfwNvBsfXIrWNeB4Atl/RbI4hwlIcsaOzzqoqKTE8mPGrMG/f/OzRx1LdtH1zXo7cAcDschXRRdN2HZEODQnDBufHzHYPP2+nknCX54y0APwXwmNPraOhHLkiVSCQpIyCGMHc16YAGD5Zcnp+yBwmQkW8nv+32DdYzHG0PXvjw9u2Fo917UCeXq3lo9iCJ76sWbbYe+WWDB+/qt0aEHXowGMeDqorMzEx4PHE8uCiGB2f3cO/BrnrSWSQhhOCc/3zHp4OdeXBxfmoehJAePM6QAdKxzxDLSGlTnkIAH+cPK+mbwrHXAdFCrTyBHAQXMEPGq4SQu92cXEA83mP6ugndb157afeb196oEe23KtGgER060aERHSpREWfdzsIW//8XgA/c9O1vu77XigZJbVMFhRAQljgCG63SOgQVN4gk+RSc8oR/WdEFxV749XZrjZ+Kd8y6Hr23Jno+Vh+aFn/0jHN7N+PG+K8HFblaMFqSP56X5I+/CzEK8sXCss1aTfO8kbylRCKRxGWIyVxtbd1IIYCPSy7PT9mDPSwbGQk2BlKFwGmG+SrcelCQx3usu2lC97W/vLT72l/eqGnmb1XNhKYb0HUDmm5AVS0QErPvjnlwIJodRQAo0SBJoI0HISCoOAKljQfD4gZhJ/FgPQcSlE8ihMDr9cLvd+HB2T3ceZASaLnxY07O+W7G+fiv1w9y58HF+bxkcb5zD1p2raZq0oPHGTJAOvYZEq4Lut25rZG+iAZJTippAwC8576TC2BS4/dm0AAz7XYBBLcZzGAE3OZPAvgngE+d9kFAuqlQlwJ4G8BLGtXP0KkOjWpQqQaNatCpB17qg0rarVdtEsP2GYUC0foOjvMbFKLAp7TZ5MgCYADCFBCWgDAFYKAeNsYeuW1MqwWVWy/sv0Eo4ufxgiROObjm7HelKVrLmaStAFYkOeReAJWOTg7ES+X7BsAUStV+OwaNXen0XG0pyR8/07LN3yZagyaEgG2bP/qs11RZS0AikXSEIUEzDC5S92DJ5fmOPTjzHW+TBxUA/QwTXWzWrjhsBuMYEDGRw1PwIBHdVLWs2YO6dYauW9A0G6pmQ9Ns6B4TXl8YqtouOGz2YOFo9x70EfhahowE0a0hVEAoIhosKQLQUA8VY4/c2saDD/bfIOrEzwWL48EgB//WoQc1reVMUvo96Ik50NrgQdpvx/pBqXtwcf5My7IdeND+0WdLe0kPHmfIAOnYZ6hgHMGqWncbImgE0AmIh/SEgrX5Z5aMdHjklQD0lg9YYRNGfRhmMAIzaDT834DgYheA9bvnDuMA4lbijoUKrdVGBrEghECnHijNQVIpojfQJrbPKNyDxsWmDvFQDxTSZt5dIDpxbzf8K3D9kTvG7Ih1/NYL+7/ANX42V/hOQQQEEeCUg6ksGhw53x8Butr0o55zaOKohL/gdT16V8PFa20zGliP6GjX0G0DRry9bcCIDt+s13a/5FHDCE1jzG43xcmYbYYjgZ9+2nOK6wWtEolE0oahXAjUhoPOPagA5CSAnAaQfqQnumBtyX/kp+RBFcCppoWhYQP9IiZOM0wMDhsYaJjwigYPDit170FtLwhpV0i0FYQAuseE0hwktfdg4eg9cOvB3oDSdq8/imhEqDb8S3D9kVviePDB/i/wQ/xsXs13ipCAMAR4PQc7yMD3cuebIAHQ9RYeXJTEg7N7uPNg6ySYZg+uHfD2trUDOu7Bd7s/ahjGNMZYDA8yMxyO/PTTD3tKDx6HyADp2GcIAFgRE4GKmuRyUAGSSUF9FNRLQTwUNEPJJRl0fcHoVQ91Hbs6WY5z27zoKALgNge3GVps3vBqZM2lAgB2zx32CaIjaI4gINBax2Fx0UlTu4X18y6M9QN4Ei623ySEwK+0m9Zvyb1H7hjzdqIG2y4YsIlrvD/zsKuZhx3kOodQhavgCIjO8lBCQ4imSThhHufM0aJcOxq3CETrLvTfNmDEzG0DRrjakzYZ63te9o9QuL4gYoT+FDFCHxhmeFkoHLjHMCNdP+s19aXkZ5BIJJKkDAEAk1moCQeSe7A7QIsI6BkU9HQK2o9AGUlz6WiyftX9BQ+tnpN0D+iYHtQA5HCOXMbhbb6GV++6NBL14LBSdx4kApoeM/5oh66biN7OsbD+wofT48FCJHLWvUduSeLBJwZs4od4f7aHXc12soN8P4eocR9zUEpBqUsPGtyZB+tsoKUH1w6YuW3tgPR68IOe/wiFwgWRiPGniGF8YBjmslA4fI9hmlxFMp0AAA54SURBVF0/W9pLevA4hbjcpllyFCF5CwoAtFr4qXp0ZBXkgtAYdzUFIH6KRLUGhBB7CSH3Ani5fFVRq10YvOe+0wPAt3AeOJ8RWXPplsZv+k7f3APA1wAc1aAQEAgjDJDk70GDRcDAzqyfd+HmWM8PnFN6BoDP4aCGRCNhO4xI+2J7bwP44ZE7xjge/ypcuT0b0ZoStyGFQYegEXx9/8XD21Vqj8fZ+7bfoGu+lxP9ni0rglC4bg2A27cNGPGZ22uSSCSSY4EFE0g7D+qKilxfVmzX5QF0BIntyAZaerBoRnkrD858x+vag3ddGmn24OZCdx4UQDhcDIjkO64ZEQ8YU8+sv/Dh2B4sXefeg7sEInvbPRz14C0uPPizDnowGHx9/2suPHjtvhv0rtrLiX7PVpWF0M5w1INrB0gPSlwhZ5CObYa0fcA2TNSXV4PH2NGH+BIHRwBACDkFwAsAvuo6dvX1Xceubplrdg2cvye2tAyOAGD33GFliOYHO4KAQHFYqIASWgHgy3jPb59R+CWAh5z2DQDe9rvG7gBwo5vgCABKzx9YV3r+wF8BGAkXOegAGkdCXe1us7HPwPmmFXk43uCGbZtGxAj+HMBYGRxJJJLjnHYeNJmN6nB9zDVJ9IzEwRHQ2oOr53S9fvWcril7sGVwBAC7h5W68yABFMXZBniU8sQeLBzt3oN90PbVRj3oIjgCgNLnB9aVPn8UPfhan/lmhRXfg/W2EfnWiHpQBkeSFJAB0rFNOzEAgG1aqD9S3XrjBoqkUmjDAADzAWzuOnb11V3HrqaIl14Xm3/HefzvAuJrpydxccVr4qTXteQBRPOznfVNCHTalL4XBHDlkTvG1Di/pNaUnj9wI4AxAGYAcFQtm3G2f//Fw9e57WtjnwG/N83QOMs2Shm3Tc45t5lVY5rhV0wr3OOr0896Ph3rjCQSieQ7JqYHLWajOlTferAwGyDe1Dy4ek7Xq1fP6Zo+Dwq48KDjW/WaOOl1LXHnQZVAb64WFfXgLR3w4PMpeJCx/ftfS8GDr/b5vVlmjrNq7FIW4Sa3OLeDrMasMF8xj1g9vlp++vPpWGckOTGRKXbHMCRvwVOI3mRioqgKsrrlgSoKoBFQX+rxrhBiW1gEBzEkr33UQL/Imkt3xXri1OmbLiYg7zs5iYEIGElc1kAIAVtYk6qeOz/pQseBc0qLAKxy0jcAhFkYERYBgGuP3BGt85AOCldu7yGEeIYQ8sN4bTjn3OLWWbsnDIs7IiiRSCQnMgsmkMQepAryfFlQKAXpCdAhqXuQQ2z7umt4ULWPOR2963fXpZHYHtxUeDEhcObByDAw1j1hGyEA29ImVZ0/K7kHS9e58+AegchuAMC1R25Jowd/5tCDlnXW7vnSg5JjCzmDdGwTc+SsEWYz1B2pBrMZkpTmSQohZJCfZsJPMqEkT1/+JF5wBAB75p75AQPbnewkAhzMQc03DrbFSXAEANtnFK4GMMdJ2xY8ms7gCABKzx9Ytn1c4eUWs25inLXbpsjmdqXFrfNlcCSRSCQJSexBzlAdqgPjDKKDS+8pyKDCcj/OKPMjN6wgycTOJ/GCIwDYc2bpB4xlJ/cg18FYQdJr40zZ4iQ4AoDthaPdeTD6Oh9NZ3AEAKXPDyzb/kLh5ZZl3cRYDA/adqVlWefL4EhyLCIDpGObhGIAovWI6o9U7QXDrnTMBipEhZ9mwpc4UIqXVtB8XeATOXjC6SgTVtJROiZYGRd8YrL+2vB7LrijmhCMs88B/MHl+R2z84KhLwaMQI5hGVeatvmCYRtzDNu4MmgEu+6eMMzxCJ9EIpGcoCT1IBMcVaH6vQhgV4tdVlMm01Qw6IgfQw77kB2Ju042uQd51kTOvYk9aJ0OJFmLyxgt45y696AlnHkwgM714L+GvhgIBHIMw7jSNM0XDMOYYxjGlcFgsOvu+dKDkmMTmWJ3jELyFnQDcNhh88Vdene/mXjJl0SnyYeiXGAJE5HW91gBoFdkzaUHkx3ba/pnExWoCyloRusTCJgwwUhsbwghBAc/IgRfwsCm1Tw33nV1wFOf3HSXTvVHE21awTiz6uy6k4/cMabC7fklEolE0rksmEBcebB7VpebySDyJe1N0urBKp+FbwoiYM1DygJAr7sujST34GeTJirq4YWUhlp7UBCY5mAw++SYxwkBwTk9IjhdwpgyrWb8TPceXLH2Lr07EnswKKy6DTj5yHTpQYmkJTJAOkYheQvGA/jIYfOHRPU1f8gf8XFvopHPiZpeOXDBEBQBNMzDL4+sufQCp8f2mv4ZAcifCUgxgAIBXmbD/kwQcQhAFYDqhq+m/x9+dky7suGpcOqTm17xKJ6YC2654LbBjIn7bjt7WTr6kkgkEkl6WTCBuPLgNcvEHz7+RX5v0oN8Trqk14NhlePLHkGw6GTP8rsujTj34GeTCYj1Z0KMqAe5v8y2e30mhC++B8c8mR4PfrT2Fc/JJLYHI8I2DmLivsljpAclkjY43itfctRJmlbQgq8AoHLDefsLfrCqu7DEfKi4mhCSlt8vJQo88MAQEcBBWkFLDswdKeBiy9N0sueXZ15/6pObNihEuUelah4AcMGFLezNQogb9t129lffxXVJJBKJxBGuPXje3yv3r/pTQXdxWMxHF1xNtPR40GdT9Kr1YG8XA3DrwZFLvjsPXjDm+lM/WrtBycA9ag6JetASwq7BZmHihn2Tx0gPSiQxkDNIxygkb8HTAP7bYfOzRfU1X7R8oOvY1dlCiDsA/JoQkt3R6xFCICBqLQA9ImsudVTB+lji9Ke+0iIskq9RrXL3L4alZWROIpFIJJ3HggnElQevWSZaeXD1nK5p9SCHwPo+AUsQ9Ljr0sjx58ENa7XIXuRrBajcXZyeTA2J5PuKDJCOUUjeghIA5zloygFkiOprIrGe7Dp2dR6AXwO4HUBmR64pyOuWhdZMurAj55BIJBKJxAkLJhBXHrxmmYjpwdVzuqbNg1+cFFx26xUh6UGJ5HuO3MXuGITkLSBwnlqwM15wBADlq4qqy1cV/Q+AvgAeBRBO9booFEdbjEokEolE0hEWTCCuPBgvOAKAohnl1UUzytPiwQyLSg9KJCcAMkA6dunisJ2j/OHyVUUV5auKfgvgNACzAZhuLoYLLhjsZ9wcI5FIJBJJB0irB4tmlFcUzShP2YOmwkWNl0kPSiQnADJAOgYR1dcIAE5L3m1xc+7yVUVl5auKbgfQD8AzABzlITOwpeE1kwNu+pJIJBKJJBWuWSY6zYNFM8rLimaUu/ZgQGdL75galh6USE4AZIB07LLBYbs3Ujl5+aqiA+Wrim4BMEAI8a9Ea9GYsKtsYU5NpR+JRCKRSFKkUz1YNKP8QNGM8lsADOAQ/xKI78F6nVVVZNjSgxLJCYIMkI5dZjloswHAxo50Ur6qaE/F6rE/YWBn28LaxEVzLTohuLCE8Z6A6BVYc3Hc/G6JRCKRSDqBo+LBohnle86bUfGTeg87u9Zjb7JoswdtIsSRDOs9WxG9/vM/AtKDEskJgtzF7hilYaOGxwD8Kk6T/QDOE9XX7E1nv9lFyxQKOpYJO6wQ9bOa1eNdV++WSCQSiaSjNGzUkNSD1ywTafXgq/OzFY9NxwY8LJwTUT6belON9KBEcoIhA6RjmIYg6b8A3Ibm3XwMAC8CeDDdwZFEIpFIJMcS/7+9OyYCEIaiIBgluEIumiIBCm7o6KBg2DXx5oqfFEm3O/h0HAGMIZA+oVBaxvnXw9zn6kgUgN8olK4dXLfdDgKvEUgAAADxSAMAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQAQSAABABBIAAEAEEgAAQA59Mx4v4ceTJgAAAABJRU5ErkJggg==\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:35:16,348 alphafold2_ptm_model_5_seed_000 recycle=0 pLDDT=70.3 pTM=0.311\n",
            "2023-02-13 10:35:16,839 alphafold2_ptm_model_5_seed_000 recycle=1 pLDDT=72.4 pTM=0.367\n",
            "2023-02-13 10:35:17,326 alphafold2_ptm_model_5_seed_000 recycle=2 pLDDT=75.7 pTM=0.376\n",
            "2023-02-13 10:35:17,814 alphafold2_ptm_model_5_seed_000 recycle=3 pLDDT=76.1 pTM=0.379\n",
            "2023-02-13 10:35:17,818 alphafold2_ptm_model_5_seed_000 took 2.0s (3 recycles)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 900x450 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "2023-02-13 10:35:18,045 reranking models by 'plddt' metric\n",
            "2023-02-13 10:35:18,046 rank_001_alphafold2_ptm_model_1_seed_000 pLDDT=87 pTM=0.666\n",
            "2023-02-13 10:35:18,047 rank_002_alphafold2_ptm_model_4_seed_000 pLDDT=82.6 pTM=0.599\n",
            "2023-02-13 10:35:18,048 rank_003_alphafold2_ptm_model_2_seed_000 pLDDT=80.9 pTM=0.44\n",
            "2023-02-13 10:35:18,049 rank_004_alphafold2_ptm_model_3_seed_000 pLDDT=76.2 pTM=0.362\n",
            "2023-02-13 10:35:18,050 rank_005_alphafold2_ptm_model_5_seed_000 pLDDT=76.1 pTM=0.379\n",
            "2023-02-13 10:35:21,049 Done\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "KK7X9T44pWb7",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "outputId": "d28566bb-9a2f-4903-afce-1bc0e03154a5"
      },
      "source": [
        "#@title Mostrar estructura en 3D {run: \"auto\"}\n",
        "import py3Dmol\n",
        "import glob\n",
        "import matplotlib.pyplot as plt\n",
        "from colabfold.colabfold import plot_plddt_legend\n",
        "from colabfold.colabfold import pymol_color_list, alphabet_list\n",
        "rank_num = 1 #@param [\"1\", \"2\", \"3\", \"4\", \"5\"] {type:\"raw\"}\n",
        "color = \"lDDT\" #@param [\"chain\", \"lDDT\", \"rainbow\"]\n",
        "show_sidechains = False #@param {type:\"boolean\"}\n",
        "show_mainchains = False #@param {type:\"boolean\"}\n",
        "\n",
        "tag = results[\"rank\"][0][rank_num - 1]\n",
        "jobname_prefix = \".custom\" if msa_mode == \"custom\" else \"\"\n",
        "pdb_filename = f\"{jobname}/{jobname}{jobname_prefix}_unrelaxed_{tag}.pdb\"\n",
        "pdb_file = glob.glob(pdb_filename)\n",
        "\n",
        "def show_pdb(rank_num=1, show_sidechains=False, show_mainchains=False, color=\"lDDT\"):\n",
        "  model_name = f\"rank_{rank_num}\"\n",
        "  view = py3Dmol.view(js='https://3dmol.org/build/3Dmol.js',)\n",
        "  view.addModel(open(pdb_file[0],'r').read(),'pdb')\n",
        "\n",
        "  if color == \"lDDT\":\n",
        "    view.setStyle({'cartoon': {'colorscheme': {'prop':'b','gradient': 'roygb','min':50,'max':90}}})\n",
        "  elif color == \"rainbow\":\n",
        "    view.setStyle({'cartoon': {'color':'spectrum'}})\n",
        "  elif color == \"chain\":\n",
        "    chains = len(queries[0][1]) + 1 if is_complex else 1\n",
        "    for n,chain,color in zip(range(chains),alphabet_list,pymol_color_list):\n",
        "       view.setStyle({'chain':chain},{'cartoon': {'color':color}})\n",
        "\n",
        "  if show_sidechains:\n",
        "    BB = ['C','O','N']\n",
        "    view.addStyle({'and':[{'resn':[\"GLY\",\"PRO\"],'invert':True},{'atom':BB,'invert':True}]},\n",
        "                        {'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "    view.addStyle({'and':[{'resn':\"GLY\"},{'atom':'CA'}]},\n",
        "                        {'sphere':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "    view.addStyle({'and':[{'resn':\"PRO\"},{'atom':['C','O'],'invert':True}]},\n",
        "                        {'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})  \n",
        "  if show_mainchains:\n",
        "    BB = ['C','O','N','CA']\n",
        "    view.addStyle({'atom':BB},{'stick':{'colorscheme':f\"WhiteCarbon\",'radius':0.3}})\n",
        "\n",
        "  view.zoomTo()\n",
        "  return view\n",
        "\n",
        "show_pdb(rank_num, show_sidechains, show_mainchains, color).show()\n",
        "if color == \"lDDT\":\n",
        "  plot_plddt_legend().show() "
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1676284521176235\"  style=\"position: relative; width: 640px; height: 480px\">\n        <p id=\"3dmolwarning_1676284521176235\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n        </div>\n<script>\n\nvar loadScriptAsync = function(uri){\n  return new Promise((resolve, reject) => {\n    //this is to ignore the existence of requirejs amd\n    var savedexports, savedmodule;\n    if (typeof exports !== 'undefined') savedexports = exports;\n    else exports = {}\n    if (typeof module !== 'undefined') savedmodule = module;\n    else module = {}\n\n    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\n        exports = savedexports;\n        module = savedmodule;\n        resolve();\n    };\n  var firstScriptTag = document.getElementsByTagName('script')[0];\n  firstScriptTag.parentNode.insertBefore(tag, firstScriptTag);\n});\n};\n\nif(typeof $3Dmolpromise === 'undefined') {\n$3Dmolpromise = null;\n  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\n}\n\nvar viewer_1676284521176235 = null;\nvar warn = document.getElementById(\"3dmolwarning_1676284521176235\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1676284521176235 = $3Dmol.createViewer(document.getElementById(\"3dmolviewer_1676284521176235\"),{backgroundColor:\"white\"});\nviewer_1676284521176235.zoomTo();\n\tviewer_1676284521176235.addModel(\"MODEL     1                                                                     \\nATOM      1  N   MET A   1      10.211   1.599 -27.646  1.00 69.65           N  \\nATOM      2  CA  MET A   1       9.253   1.780 -26.559  1.00 69.65           C  \\nATOM      3  C   MET A   1       9.749   1.113 -25.280  1.00 69.65           C  \\nATOM      4  CB  MET A   1       7.885   1.215 -26.947  1.00 69.65           C  \\nATOM      5  O   MET A   1       8.948   0.653 -24.464  1.00 69.65           O  \\nATOM      6  CG  MET A   1       7.052   2.157 -27.799  1.00 69.65           C  \\nATOM      7  SD  MET A   1       5.272   1.709 -27.808  1.00 69.65           S  \\nATOM      8  CE  MET A   1       4.719   2.627 -29.272  1.00 69.65           C  \\nATOM      9  N   ALA A   2      10.956   1.018 -24.727  1.00 61.78           N  \\nATOM     10  CA  ALA A   2      11.627   0.372 -23.602  1.00 61.78           C  \\nATOM     11  C   ALA A   2      11.670   1.294 -22.386  1.00 61.78           C  \\nATOM     12  CB  ALA A   2      13.041  -0.049 -23.996  1.00 61.78           C  \\nATOM     13  O   ALA A   2      11.586   0.832 -21.246  1.00 61.78           O  \\nATOM     14  N   ALA A   3      11.576   2.628 -22.569  1.00 63.48           N  \\nATOM     15  CA  ALA A   3      11.542   3.623 -21.500  1.00 63.48           C  \\nATOM     16  C   ALA A   3      10.130   3.780 -20.942  1.00 63.48           C  \\nATOM     17  CB  ALA A   3      12.063   4.965 -22.006  1.00 63.48           C  \\nATOM     18  O   ALA A   3       9.953   4.085 -19.760  1.00 63.48           O  \\nATOM     19  N   HIS A   4       9.106   3.296 -21.746  1.00 70.19           N  \\nATOM     20  CA  HIS A   4       7.697   3.393 -21.384  1.00 70.19           C  \\nATOM     21  C   HIS A   4       7.256   2.191 -20.556  1.00 70.19           C  \\nATOM     22  CB  HIS A   4       6.829   3.514 -22.638  1.00 70.19           C  \\nATOM     23  O   HIS A   4       6.439   2.326 -19.643  1.00 70.19           O  \\nATOM     24  CG  HIS A   4       6.951   4.835 -23.328  1.00 70.19           C  \\nATOM     25  CD2 HIS A   4       7.648   5.201 -24.430  1.00 70.19           C  \\nATOM     26  ND1 HIS A   4       6.305   5.969 -22.885  1.00 70.19           N  \\nATOM     27  CE1 HIS A   4       6.601   6.978 -23.686  1.00 70.19           C  \\nATOM     28  NE2 HIS A   4       7.414   6.539 -24.632  1.00 70.19           N  \\nATOM     29  N   LYS A   5       8.060   1.065 -20.727  1.00 75.58           N  \\nATOM     30  CA  LYS A   5       7.727  -0.170 -20.022  1.00 75.58           C  \\nATOM     31  C   LYS A   5       8.358  -0.196 -18.633  1.00 75.58           C  \\nATOM     32  CB  LYS A   5       8.183  -1.387 -20.827  1.00 75.58           C  \\nATOM     33  O   LYS A   5       7.746  -0.677 -17.677  1.00 75.58           O  \\nATOM     34  CG  LYS A   5       7.535  -2.694 -20.394  1.00 75.58           C  \\nATOM     35  CD  LYS A   5       7.809  -3.812 -21.391  1.00 75.58           C  \\nATOM     36  CE  LYS A   5       7.110  -5.104 -20.991  1.00 75.58           C  \\nATOM     37  NZ  LYS A   5       7.418  -6.217 -21.938  1.00 75.58           N  \\nATOM     38  N   GLY A   6       9.489   0.443 -18.436  1.00 78.71           N  \\nATOM     39  CA  GLY A   6      10.113   0.640 -17.137  1.00 78.71           C  \\nATOM     40  C   GLY A   6       9.405   1.676 -16.285  1.00 78.71           C  \\nATOM     41  O   GLY A   6       9.216   1.475 -15.083  1.00 78.71           O  \\nATOM     42  N   ALA A   7       9.043   2.785 -16.892  1.00 82.73           N  \\nATOM     43  CA  ALA A   7       8.284   3.842 -16.227  1.00 82.73           C  \\nATOM     44  C   ALA A   7       6.896   3.352 -15.827  1.00 82.73           C  \\nATOM     45  CB  ALA A   7       8.173   5.067 -17.132  1.00 82.73           C  \\nATOM     46  O   ALA A   7       6.367   3.748 -14.786  1.00 82.73           O  \\nATOM     47  N   GLU A   8       6.302   2.514 -16.644  1.00 84.77           N  \\nATOM     48  CA  GLU A   8       4.996   1.926 -16.363  1.00 84.77           C  \\nATOM     49  C   GLU A   8       5.051   1.023 -15.134  1.00 84.77           C  \\nATOM     50  CB  GLU A   8       4.490   1.137 -17.573  1.00 84.77           C  \\nATOM     51  O   GLU A   8       4.143   1.044 -14.300  1.00 84.77           O  \\nATOM     52  CG  GLU A   8       3.060   0.638 -17.428  1.00 84.77           C  \\nATOM     53  CD  GLU A   8       2.543  -0.072 -18.669  1.00 84.77           C  \\nATOM     54  OE1 GLU A   8       2.001  -1.194 -18.546  1.00 84.77           O  \\nATOM     55  OE2 GLU A   8       2.681   0.498 -19.774  1.00 84.77           O  \\nATOM     56  N   HIS A   9       6.113   0.175 -14.966  1.00 86.86           N  \\nATOM     57  CA  HIS A   9       6.291  -0.676 -13.795  1.00 86.86           C  \\nATOM     58  C   HIS A   9       6.509   0.157 -12.536  1.00 86.86           C  \\nATOM     59  CB  HIS A   9       7.466  -1.633 -14.002  1.00 86.86           C  \\nATOM     60  O   HIS A   9       6.003  -0.185 -11.465  1.00 86.86           O  \\nATOM     61  CG  HIS A   9       7.173  -2.745 -14.958  1.00 86.86           C  \\nATOM     62  CD2 HIS A   9       7.658  -3.005 -16.195  1.00 86.86           C  \\nATOM     63  ND1 HIS A   9       6.276  -3.752 -14.676  1.00 86.86           N  \\nATOM     64  CE1 HIS A   9       6.223  -4.587 -15.701  1.00 86.86           C  \\nATOM     65  NE2 HIS A   9       7.052  -4.155 -16.636  1.00 86.86           N  \\nATOM     66  N   HIS A  10       7.225   1.301 -12.653  1.00 85.31           N  \\nATOM     67  CA  HIS A  10       7.404   2.219 -11.534  1.00 85.31           C  \\nATOM     68  C   HIS A  10       6.082   2.865 -11.134  1.00 85.31           C  \\nATOM     69  CB  HIS A  10       8.430   3.298 -11.886  1.00 85.31           C  \\nATOM     70  O   HIS A  10       5.809   3.045  -9.945  1.00 85.31           O  \\nATOM     71  CG  HIS A  10       9.846   2.821 -11.830  1.00 85.31           C  \\nATOM     72  CD2 HIS A  10      10.729   2.540 -12.817  1.00 85.31           C  \\nATOM     73  ND1 HIS A  10      10.503   2.577 -10.643  1.00 85.31           N  \\nATOM     74  CE1 HIS A  10      11.733   2.167 -10.903  1.00 85.31           C  \\nATOM     75  NE2 HIS A  10      11.895   2.135 -12.215  1.00 85.31           N  \\nATOM     76  N   HIS A  11       5.313   3.220 -12.144  1.00 89.71           N  \\nATOM     77  CA  HIS A  11       3.997   3.805 -11.914  1.00 89.71           C  \\nATOM     78  C   HIS A  11       3.074   2.822 -11.200  1.00 89.71           C  \\nATOM     79  CB  HIS A  11       3.369   4.248 -13.237  1.00 89.71           C  \\nATOM     80  O   HIS A  11       2.379   3.193 -10.252  1.00 89.71           O  \\nATOM     81  CG  HIS A  11       2.044   4.923 -13.076  1.00 89.71           C  \\nATOM     82  CD2 HIS A  11       0.793   4.513 -13.392  1.00 89.71           C  \\nATOM     83  ND1 HIS A  11       1.912   6.181 -12.530  1.00 89.71           N  \\nATOM     84  CE1 HIS A  11       0.632   6.517 -12.517  1.00 89.71           C  \\nATOM     85  NE2 HIS A  11      -0.067   5.522 -13.035  1.00 89.71           N  \\nATOM     86  N   LYS A  12       3.108   1.621 -11.616  1.00 89.90           N  \\nATOM     87  CA  LYS A  12       2.284   0.582 -11.005  1.00 89.90           C  \\nATOM     88  C   LYS A  12       2.752   0.273  -9.586  1.00 89.90           C  \\nATOM     89  CB  LYS A  12       2.309  -0.690 -11.854  1.00 89.90           C  \\nATOM     90  O   LYS A  12       1.934   0.044  -8.693  1.00 89.90           O  \\nATOM     91  CG  LYS A  12       1.506  -0.591 -13.142  1.00 89.90           C  \\nATOM     92  CD  LYS A  12       1.503  -1.911 -13.903  1.00 89.90           C  \\nATOM     93  CE  LYS A  12       0.723  -1.804 -15.206  1.00 89.90           C  \\nATOM     94  NZ  LYS A  12       0.703  -3.101 -15.947  1.00 89.90           N  \\nATOM     95  N   ALA A  13       4.006   0.280  -9.368  1.00 89.84           N  \\nATOM     96  CA  ALA A  13       4.579   0.101  -8.036  1.00 89.84           C  \\nATOM     97  C   ALA A  13       4.144   1.222  -7.096  1.00 89.84           C  \\nATOM     98  CB  ALA A  13       6.102   0.039  -8.116  1.00 89.84           C  \\nATOM     99  O   ALA A  13       3.763   0.967  -5.951  1.00 89.84           O  \\nATOM    100  N   ALA A  14       4.233   2.379  -7.603  1.00 91.19           N  \\nATOM    101  CA  ALA A  14       3.821   3.544  -6.824  1.00 91.19           C  \\nATOM    102  C   ALA A  14       2.327   3.496  -6.513  1.00 91.19           C  \\nATOM    103  CB  ALA A  14       4.164   4.832  -7.570  1.00 91.19           C  \\nATOM    104  O   ALA A  14       1.905   3.847  -5.409  1.00 91.19           O  \\nATOM    105  N   GLU A  15       1.567   3.111  -7.519  1.00 92.93           N  \\nATOM    106  CA  GLU A  15       0.124   2.996  -7.333  1.00 92.93           C  \\nATOM    107  C   GLU A  15      -0.213   1.981  -6.244  1.00 92.93           C  \\nATOM    108  CB  GLU A  15      -0.558   2.603  -8.647  1.00 92.93           C  \\nATOM    109  O   GLU A  15      -1.080   2.230  -5.404  1.00 92.93           O  \\nATOM    110  CG  GLU A  15      -0.617   3.729  -9.669  1.00 92.93           C  \\nATOM    111  CD  GLU A  15      -1.372   3.351 -10.934  1.00 92.93           C  \\nATOM    112  OE1 GLU A  15      -2.517   3.821 -11.121  1.00 92.93           O  \\nATOM    113  OE2 GLU A  15      -0.813   2.578 -11.744  1.00 92.93           O  \\nATOM    114  N   HIS A  16       0.406   0.829  -6.264  1.00 93.26           N  \\nATOM    115  CA  HIS A  16       0.186  -0.212  -5.266  1.00 93.26           C  \\nATOM    116  C   HIS A  16       0.646   0.243  -3.885  1.00 93.26           C  \\nATOM    117  CB  HIS A  16       0.911  -1.498  -5.664  1.00 93.26           C  \\nATOM    118  O   HIS A  16       0.017  -0.086  -2.877  1.00 93.26           O  \\nATOM    119  CG  HIS A  16       0.211  -2.277  -6.732  1.00 93.26           C  \\nATOM    120  CD2 HIS A  16       0.524  -2.482  -8.032  1.00 93.26           C  \\nATOM    121  ND1 HIS A  16      -0.969  -2.953  -6.507  1.00 93.26           N  \\nATOM    122  CE1 HIS A  16      -1.351  -3.544  -7.627  1.00 93.26           C  \\nATOM    123  NE2 HIS A  16      -0.462  -3.273  -8.568  1.00 93.26           N  \\nATOM    124  N   HIS A  17       1.755   1.024  -3.833  1.00 92.39           N  \\nATOM    125  CA  HIS A  17       2.206   1.584  -2.564  1.00 92.39           C  \\nATOM    126  C   HIS A  17       1.172   2.546  -1.988  1.00 92.39           C  \\nATOM    127  CB  HIS A  17       3.547   2.298  -2.740  1.00 92.39           C  \\nATOM    128  O   HIS A  17       0.931   2.553  -0.779  1.00 92.39           O  \\nATOM    129  CG  HIS A  17       4.727   1.380  -2.692  1.00 92.39           C  \\nATOM    130  CD2 HIS A  17       5.655   1.075  -3.629  1.00 92.39           C  \\nATOM    131  ND1 HIS A  17       5.054   0.647  -1.572  1.00 92.39           N  \\nATOM    132  CE1 HIS A  17       6.136  -0.071  -1.823  1.00 92.39           C  \\nATOM    133  NE2 HIS A  17       6.521   0.171  -3.065  1.00 92.39           N  \\nATOM    134  N   GLU A  18       0.668   3.401  -2.871  1.00 94.25           N  \\nATOM    135  CA  GLU A  18      -0.363   4.340  -2.440  1.00 94.25           C  \\nATOM    136  C   GLU A  18      -1.580   3.607  -1.884  1.00 94.25           C  \\nATOM    137  CB  GLU A  18      -0.780   5.250  -3.598  1.00 94.25           C  \\nATOM    138  O   GLU A  18      -2.133   4.001  -0.855  1.00 94.25           O  \\nATOM    139  CG  GLU A  18      -1.772   6.335  -3.201  1.00 94.25           C  \\nATOM    140  CD  GLU A  18      -2.184   7.224  -4.363  1.00 94.25           C  \\nATOM    141  OE1 GLU A  18      -3.073   8.087  -4.181  1.00 94.25           O  \\nATOM    142  OE2 GLU A  18      -1.615   7.056  -5.465  1.00 94.25           O  \\nATOM    143  N   GLN A  19      -1.982   2.549  -2.580  1.00 94.57           N  \\nATOM    144  CA  GLN A  19      -3.137   1.765  -2.154  1.00 94.57           C  \\nATOM    145  C   GLN A  19      -2.859   1.047  -0.837  1.00 94.57           C  \\nATOM    146  CB  GLN A  19      -3.527   0.753  -3.233  1.00 94.57           C  \\nATOM    147  O   GLN A  19      -3.741   0.942   0.017  1.00 94.57           O  \\nATOM    148  CG  GLN A  19      -4.155   1.382  -4.469  1.00 94.57           C  \\nATOM    149  CD  GLN A  19      -4.615   0.351  -5.483  1.00 94.57           C  \\nATOM    150  NE2 GLN A  19      -5.330   0.805  -6.507  1.00 94.57           N  \\nATOM    151  OE1 GLN A  19      -4.328  -0.843  -5.348  1.00 94.57           O  \\nATOM    152  N   ALA A  20      -1.662   0.585  -0.690  1.00 93.69           N  \\nATOM    153  CA  ALA A  20      -1.230  -0.057   0.549  1.00 93.69           C  \\nATOM    154  C   ALA A  20      -1.287   0.919   1.721  1.00 93.69           C  \\nATOM    155  CB  ALA A  20       0.181  -0.617   0.394  1.00 93.69           C  \\nATOM    156  O   ALA A  20      -1.745   0.565   2.810  1.00 93.69           O  \\nATOM    157  N   ALA A  21      -0.767   2.081   1.525  1.00 94.46           N  \\nATOM    158  CA  ALA A  21      -0.781   3.118   2.553  1.00 94.46           C  \\nATOM    159  C   ALA A  21      -2.209   3.462   2.966  1.00 94.46           C  \\nATOM    160  CB  ALA A  21      -0.058   4.369   2.057  1.00 94.46           C  \\nATOM    161  O   ALA A  21      -2.490   3.650   4.152  1.00 94.46           O  \\nATOM    162  N   LYS A  22      -3.120   3.607   1.986  1.00 95.12           N  \\nATOM    163  CA  LYS A  22      -4.526   3.890   2.261  1.00 95.12           C  \\nATOM    164  C   LYS A  22      -5.147   2.798   3.128  1.00 95.12           C  \\nATOM    165  CB  LYS A  22      -5.311   4.031   0.955  1.00 95.12           C  \\nATOM    166  O   LYS A  22      -5.888   3.091   4.068  1.00 95.12           O  \\nATOM    167  CG  LYS A  22      -5.012   5.312   0.190  1.00 95.12           C  \\nATOM    168  CD  LYS A  22      -5.834   5.402  -1.090  1.00 95.12           C  \\nATOM    169  CE  LYS A  22      -5.474   6.640  -1.900  1.00 95.12           C  \\nATOM    170  NZ  LYS A  22      -6.236   6.704  -3.183  1.00 95.12           N  \\nATOM    171  N   HIS A  23      -4.856   1.513   2.845  1.00 95.23           N  \\nATOM    172  CA  HIS A  23      -5.398   0.384   3.592  1.00 95.23           C  \\nATOM    173  C   HIS A  23      -4.791   0.305   4.989  1.00 95.23           C  \\nATOM    174  CB  HIS A  23      -5.152  -0.925   2.839  1.00 95.23           C  \\nATOM    175  O   HIS A  23      -5.474  -0.060   5.948  1.00 95.23           O  \\nATOM    176  CG  HIS A  23      -6.077  -1.134   1.682  1.00 95.23           C  \\nATOM    177  CD2 HIS A  23      -5.854  -1.092   0.347  1.00 95.23           C  \\nATOM    178  ND1 HIS A  23      -7.415  -1.423   1.842  1.00 95.23           N  \\nATOM    179  CE1 HIS A  23      -7.976  -1.551   0.651  1.00 95.23           C  \\nATOM    180  NE2 HIS A  23      -7.051  -1.355  -0.272  1.00 95.23           N  \\nATOM    181  N   HIS A  24      -3.493   0.662   5.101  1.00 94.34           N  \\nATOM    182  CA  HIS A  24      -2.863   0.714   6.416  1.00 94.34           C  \\nATOM    183  C   HIS A  24      -3.519   1.770   7.300  1.00 94.34           C  \\nATOM    184  CB  HIS A  24      -1.366   0.998   6.282  1.00 94.34           C  \\nATOM    185  O   HIS A  24      -3.730   1.542   8.493  1.00 94.34           O  \\nATOM    186  CG  HIS A  24      -0.545  -0.224   6.021  1.00 94.34           C  \\nATOM    187  CD2 HIS A  24       0.197  -0.585   4.948  1.00 94.34           C  \\nATOM    188  ND1 HIS A  24      -0.427  -1.250   6.934  1.00 94.34           N  \\nATOM    189  CE1 HIS A  24       0.356  -2.190   6.432  1.00 94.34           C  \\nATOM    190  NE2 HIS A  24       0.747  -1.811   5.228  1.00 94.34           N  \\nATOM    191  N   HIS A  25      -3.793   2.896   6.656  1.00 95.52           N  \\nATOM    192  CA  HIS A  25      -4.491   3.965   7.362  1.00 95.52           C  \\nATOM    193  C   HIS A  25      -5.872   3.511   7.823  1.00 95.52           C  \\nATOM    194  CB  HIS A  25      -4.615   5.203   6.473  1.00 95.52           C  \\nATOM    195  O   HIS A  25      -6.268   3.772   8.962  1.00 95.52           O  \\nATOM    196  CG  HIS A  25      -5.269   6.365   7.150  1.00 95.52           C  \\nATOM    197  CD2 HIS A  25      -6.473   6.950   6.946  1.00 95.52           C  \\nATOM    198  ND1 HIS A  25      -4.668   7.065   8.173  1.00 95.52           N  \\nATOM    199  CE1 HIS A  25      -5.477   8.033   8.571  1.00 95.52           C  \\nATOM    200  NE2 HIS A  25      -6.579   7.985   7.842  1.00 95.52           N  \\nATOM    201  N   ALA A  26      -6.563   2.897   6.960  1.00 94.85           N  \\nATOM    202  CA  ALA A  26      -7.886   2.370   7.285  1.00 94.85           C  \\nATOM    203  C   ALA A  26      -7.804   1.322   8.390  1.00 94.85           C  \\nATOM    204  CB  ALA A  26      -8.542   1.776   6.040  1.00 94.85           C  \\nATOM    205  O   ALA A  26      -8.660   1.276   9.276  1.00 94.85           O  \\nATOM    206  N   ALA A  27      -6.795   0.458   8.300  1.00 95.44           N  \\nATOM    207  CA  ALA A  27      -6.569  -0.548   9.334  1.00 95.44           C  \\nATOM    208  C   ALA A  27      -6.347   0.105  10.696  1.00 95.44           C  \\nATOM    209  CB  ALA A  27      -5.376  -1.428   8.969  1.00 95.44           C  \\nATOM    210  O   ALA A  27      -6.888  -0.352  11.705  1.00 95.44           O  \\nATOM    211  N   ALA A  28      -5.525   1.120  10.712  1.00 95.41           N  \\nATOM    212  CA  ALA A  28      -5.241   1.852  11.943  1.00 95.41           C  \\nATOM    213  C   ALA A  28      -6.505   2.503  12.498  1.00 95.41           C  \\nATOM    214  CB  ALA A  28      -4.167   2.909  11.697  1.00 95.41           C  \\nATOM    215  O   ALA A  28      -6.742   2.480  13.708  1.00 95.41           O  \\nATOM    216  N   GLU A  29      -7.299   3.120  11.587  1.00 96.18           N  \\nATOM    217  CA  GLU A  29      -8.551   3.749  11.998  1.00 96.18           C  \\nATOM    218  C   GLU A  29      -9.510   2.727  12.600  1.00 96.18           C  \\nATOM    219  CB  GLU A  29      -9.212   4.457  10.812  1.00 96.18           C  \\nATOM    220  O   GLU A  29     -10.141   2.990  13.627  1.00 96.18           O  \\nATOM    221  CG  GLU A  29      -8.502   5.732  10.383  1.00 96.18           C  \\nATOM    222  CD  GLU A  29      -9.312   6.571   9.407  1.00 96.18           C  \\nATOM    223  OE1 GLU A  29      -9.849   7.626   9.813  1.00 96.18           O  \\nATOM    224  OE2 GLU A  29      -9.412   6.168   8.226  1.00 96.18           O  \\nATOM    225  N   HIS A  30      -9.699   1.490  11.971  1.00 96.35           N  \\nATOM    226  CA  HIS A  30     -10.568   0.422  12.452  1.00 96.35           C  \\nATOM    227  C   HIS A  30     -10.053  -0.158  13.765  1.00 96.35           C  \\nATOM    228  CB  HIS A  30     -10.690  -0.684  11.402  1.00 96.35           C  \\nATOM    229  O   HIS A  30     -10.842  -0.553  14.626  1.00 96.35           O  \\nATOM    230  CG  HIS A  30     -11.609  -0.340  10.273  1.00 96.35           C  \\nATOM    231  CD2 HIS A  30     -11.365  -0.145   8.956  1.00 96.35           C  \\nATOM    232  ND1 HIS A  30     -12.964  -0.156  10.447  1.00 96.35           N  \\nATOM    233  CE1 HIS A  30     -13.515   0.138   9.281  1.00 96.35           C  \\nATOM    234  NE2 HIS A  30     -12.567   0.151   8.360  1.00 96.35           N  \\nATOM    235  N   HIS A  31      -8.721  -0.267  13.843  1.00 94.52           N  \\nATOM    236  CA  HIS A  31      -8.102  -0.755  15.070  1.00 94.52           C  \\nATOM    237  C   HIS A  31      -8.418   0.160  16.249  1.00 94.52           C  \\nATOM    238  CB  HIS A  31      -6.587  -0.879  14.893  1.00 94.52           C  \\nATOM    239  O   HIS A  31      -8.719  -0.316  17.346  1.00 94.52           O  \\nATOM    240  CG  HIS A  31      -5.914  -1.631  15.997  1.00 94.52           C  \\nATOM    241  CD2 HIS A  31      -5.818  -2.959  16.239  1.00 94.52           C  \\nATOM    242  ND1 HIS A  31      -5.235  -1.002  17.019  1.00 94.52           N  \\nATOM    243  CE1 HIS A  31      -4.749  -1.915  17.843  1.00 94.52           C  \\nATOM    244  NE2 HIS A  31      -5.089  -3.111  17.393  1.00 94.52           N  \\nATOM    245  N   GLU A  32      -8.433   1.565  16.015  1.00 96.12           N  \\nATOM    246  CA  GLU A  32      -8.746   2.551  17.045  1.00 96.12           C  \\nATOM    247  C   GLU A  32     -10.214   2.475  17.453  1.00 96.12           C  \\nATOM    248  CB  GLU A  32      -8.408   3.963  16.558  1.00 96.12           C  \\nATOM    249  O   GLU A  32     -10.559   2.752  18.604  1.00 96.12           O  \\nATOM    250  CG  GLU A  32      -6.915   4.246  16.483  1.00 96.12           C  \\nATOM    251  CD  GLU A  32      -6.595   5.671  16.059  1.00 96.12           C  \\nATOM    252  OE1 GLU A  32      -5.442   6.118  16.255  1.00 96.12           O  \\nATOM    253  OE2 GLU A  32      -7.506   6.346  15.529  1.00 96.12           O  \\nATOM    254  N   LYS A  33     -11.088   2.020  16.569  1.00 95.94           N  \\nATOM    255  CA  LYS A  33     -12.532   1.935  16.771  1.00 95.94           C  \\nATOM    256  C   LYS A  33     -12.929   0.575  17.337  1.00 95.94           C  \\nATOM    257  CB  LYS A  33     -13.274   2.194  15.459  1.00 95.94           C  \\nATOM    258  O   LYS A  33     -14.092   0.355  17.681  1.00 95.94           O  \\nATOM    259  CG  LYS A  33     -13.135   3.617  14.939  1.00 95.94           C  \\nATOM    260  CD  LYS A  33     -13.870   3.804  13.618  1.00 95.94           C  \\nATOM    261  CE  LYS A  33     -13.659   5.202  13.053  1.00 95.94           C  \\nATOM    262  NZ  LYS A  33     -14.301   5.360  11.713  1.00 95.94           N  \\nATOM    263  N   GLY A  34     -11.851  -0.357  17.524  1.00 95.94           N  \\nATOM    264  CA  GLY A  34     -12.136  -1.677  18.063  1.00 95.94           C  \\nATOM    265  C   GLY A  34     -12.657  -2.648  17.020  1.00 95.94           C  \\nATOM    266  O   GLY A  34     -13.219  -3.691  17.361  1.00 95.94           O  \\nATOM    267  N   GLU A  35     -12.734  -2.199  15.768  1.00 96.80           N  \\nATOM    268  CA  GLU A  35     -13.139  -3.060  14.661  1.00 96.80           C  \\nATOM    269  C   GLU A  35     -11.973  -3.912  14.169  1.00 96.80           C  \\nATOM    270  CB  GLU A  35     -13.703  -2.225  13.509  1.00 96.80           C  \\nATOM    271  O   GLU A  35     -11.352  -3.596  13.152  1.00 96.80           O  \\nATOM    272  CG  GLU A  35     -14.916  -1.389  13.891  1.00 96.80           C  \\nATOM    273  CD  GLU A  35     -15.398  -0.483  12.769  1.00 96.80           C  \\nATOM    274  OE1 GLU A  35     -16.579  -0.591  12.368  1.00 96.80           O  \\nATOM    275  OE2 GLU A  35     -14.588   0.340  12.288  1.00 96.80           O  \\nATOM    276  N   HIS A  36     -11.632  -4.954  14.913  1.00 95.34           N  \\nATOM    277  CA  HIS A  36     -10.459  -5.797  14.713  1.00 95.34           C  \\nATOM    278  C   HIS A  36     -10.572  -6.603  13.424  1.00 95.34           C  \\nATOM    279  CB  HIS A  36     -10.266  -6.737  15.905  1.00 95.34           C  \\nATOM    280  O   HIS A  36      -9.574  -6.820  12.732  1.00 95.34           O  \\nATOM    281  CG  HIS A  36     -10.017  -6.025  17.197  1.00 95.34           C  \\nATOM    282  CD2 HIS A  36     -10.757  -5.953  18.328  1.00 95.34           C  \\nATOM    283  ND1 HIS A  36      -8.888  -5.269  17.424  1.00 95.34           N  \\nATOM    284  CE1 HIS A  36      -8.943  -4.762  18.645  1.00 95.34           C  \\nATOM    285  NE2 HIS A  36     -10.067  -5.162  19.214  1.00 95.34           N  \\nATOM    286  N   GLU A  37     -11.788  -6.990  13.060  1.00 95.28           N  \\nATOM    287  CA  GLU A  37     -12.016  -7.770  11.847  1.00 95.28           C  \\nATOM    288  C   GLU A  37     -11.765  -6.933  10.596  1.00 95.28           C  \\nATOM    289  CB  GLU A  37     -13.441  -8.330  11.828  1.00 95.28           C  \\nATOM    290  O   GLU A  37     -11.137  -7.401   9.645  1.00 95.28           O  \\nATOM    291  CG  GLU A  37     -13.666  -9.473  12.807  1.00 95.28           C  \\nATOM    292  CD  GLU A  37     -15.077 -10.036  12.757  1.00 95.28           C  \\nATOM    293  OE1 GLU A  37     -15.289 -11.183  13.212  1.00 95.28           O  \\nATOM    294  OE2 GLU A  37     -15.978  -9.325  12.259  1.00 95.28           O  \\nATOM    295  N   GLN A  38     -12.203  -5.653  10.645  1.00 95.32           N  \\nATOM    296  CA  GLN A  38     -12.010  -4.734   9.528  1.00 95.32           C  \\nATOM    297  C   GLN A  38     -10.561  -4.263   9.447  1.00 95.32           C  \\nATOM    298  CB  GLN A  38     -12.947  -3.531   9.653  1.00 95.32           C  \\nATOM    299  O   GLN A  38     -10.015  -4.101   8.354  1.00 95.32           O  \\nATOM    300  CG  GLN A  38     -14.411  -3.864   9.402  1.00 95.32           C  \\nATOM    301  CD  GLN A  38     -15.177  -4.149  10.680  1.00 95.32           C  \\nATOM    302  NE2 GLN A  38     -16.460  -4.467  10.545  1.00 95.32           N  \\nATOM    303  OE1 GLN A  38     -14.619  -4.084  11.781  1.00 95.32           O  \\nATOM    304  N   ALA A  39      -9.923  -4.101  10.647  1.00 95.63           N  \\nATOM    305  CA  ALA A  39      -8.511  -3.738  10.731  1.00 95.63           C  \\nATOM    306  C   ALA A  39      -7.627  -4.827  10.130  1.00 95.63           C  \\nATOM    307  CB  ALA A  39      -8.114  -3.476  12.182  1.00 95.63           C  \\nATOM    308  O   ALA A  39      -6.696  -4.534   9.376  1.00 95.63           O  \\nATOM    309  N   ALA A  40      -7.887  -6.118  10.453  1.00 95.50           N  \\nATOM    310  CA  ALA A  40      -7.131  -7.253   9.931  1.00 95.50           C  \\nATOM    311  C   ALA A  40      -7.296  -7.374   8.419  1.00 95.50           C  \\nATOM    312  CB  ALA A  40      -7.570  -8.545  10.616  1.00 95.50           C  \\nATOM    313  O   ALA A  40      -6.337  -7.680   7.706  1.00 95.50           O  \\nATOM    314  N   HIS A  41      -8.519  -7.142   7.977  1.00 96.22           N  \\nATOM    315  CA  HIS A  41      -8.806  -7.223   6.550  1.00 96.22           C  \\nATOM    316  C   HIS A  41      -8.032  -6.166   5.771  1.00 96.22           C  \\nATOM    317  CB  HIS A  41     -10.307  -7.069   6.296  1.00 96.22           C  \\nATOM    318  O   HIS A  41      -7.436  -6.465   4.733  1.00 96.22           O  \\nATOM    319  CG  HIS A  41     -10.682  -7.145   4.850  1.00 96.22           C  \\nATOM    320  CD2 HIS A  41     -11.076  -6.184   3.982  1.00 96.22           C  \\nATOM    321  ND1 HIS A  41     -10.676  -8.327   4.141  1.00 96.22           N  \\nATOM    322  CE1 HIS A  41     -11.052  -8.088   2.896  1.00 96.22           C  \\nATOM    323  NE2 HIS A  41     -11.300  -6.795   2.773  1.00 96.22           N  \\nATOM    324  N   HIS A  42      -8.032  -4.916   6.243  1.00 95.86           N  \\nATOM    325  CA  HIS A  42      -7.322  -3.821   5.592  1.00 95.86           C  \\nATOM    326  C   HIS A  42      -5.812  -4.024   5.664  1.00 95.86           C  \\nATOM    327  CB  HIS A  42      -7.702  -2.483   6.229  1.00 95.86           C  \\nATOM    328  O   HIS A  42      -5.090  -3.682   4.724  1.00 95.86           O  \\nATOM    329  CG  HIS A  42      -9.042  -1.974   5.802  1.00 95.86           C  \\nATOM    330  CD2 HIS A  42     -10.231  -1.948   6.449  1.00 95.86           C  \\nATOM    331  ND1 HIS A  42      -9.263  -1.410   4.564  1.00 95.86           N  \\nATOM    332  CE1 HIS A  42     -10.534  -1.057   4.469  1.00 95.86           C  \\nATOM    333  NE2 HIS A  42     -11.143  -1.373   5.599  1.00 95.86           N  \\nATOM    334  N   ALA A  43      -5.357  -4.621   6.813  1.00 94.88           N  \\nATOM    335  CA  ALA A  43      -3.944  -4.969   6.941  1.00 94.88           C  \\nATOM    336  C   ALA A  43      -3.543  -6.020   5.910  1.00 94.88           C  \\nATOM    337  CB  ALA A  43      -3.645  -5.469   8.352  1.00 94.88           C  \\nATOM    338  O   ALA A  43      -2.477  -5.922   5.297  1.00 94.88           O  \\nATOM    339  N   ASP A  44      -4.397  -7.010   5.708  1.00 96.08           N  \\nATOM    340  CA  ASP A  44      -4.141  -8.064   4.731  1.00 96.08           C  \\nATOM    341  C   ASP A  44      -4.107  -7.501   3.312  1.00 96.08           C  \\nATOM    342  CB  ASP A  44      -5.203  -9.162   4.835  1.00 96.08           C  \\nATOM    343  O   ASP A  44      -3.231  -7.855   2.519  1.00 96.08           O  \\nATOM    344  CG  ASP A  44      -4.947 -10.325   3.894  1.00 96.08           C  \\nATOM    345  OD1 ASP A  44      -5.608 -10.411   2.836  1.00 96.08           O  \\nATOM    346  OD2 ASP A  44      -4.079 -11.166   4.214  1.00 96.08           O  \\nATOM    347  N   THR A  45      -5.100  -6.690   2.997  1.00 95.17           N  \\nATOM    348  CA  THR A  45      -5.174  -6.051   1.688  1.00 95.17           C  \\nATOM    349  C   THR A  45      -3.958  -5.160   1.451  1.00 95.17           C  \\nATOM    350  CB  THR A  45      -6.461  -5.217   1.546  1.00 95.17           C  \\nATOM    351  O   THR A  45      -3.424  -5.113   0.341  1.00 95.17           O  \\nATOM    352  CG2 THR A  45      -6.578  -4.619   0.148  1.00 95.17           C  \\nATOM    353  OG1 THR A  45      -7.597  -6.055   1.792  1.00 95.17           O  \\nATOM    354  N   ALA A  46      -3.572  -4.377   2.483  1.00 94.99           N  \\nATOM    355  CA  ALA A  46      -2.377  -3.540   2.410  1.00 94.99           C  \\nATOM    356  C   ALA A  46      -1.142  -4.375   2.085  1.00 94.99           C  \\nATOM    357  CB  ALA A  46      -2.175  -2.784   3.721  1.00 94.99           C  \\nATOM    358  O   ALA A  46      -0.323  -3.985   1.250  1.00 94.99           O  \\nATOM    359  N   TYR A  47      -1.035  -5.512   2.764  1.00 94.11           N  \\nATOM    360  CA  TYR A  47       0.085  -6.418   2.532  1.00 94.11           C  \\nATOM    361  C   TYR A  47       0.097  -6.912   1.091  1.00 94.11           C  \\nATOM    362  CB  TYR A  47       0.020  -7.610   3.492  1.00 94.11           C  \\nATOM    363  O   TYR A  47       1.157  -7.004   0.468  1.00 94.11           O  \\nATOM    364  CG  TYR A  47       1.181  -8.564   3.354  1.00 94.11           C  \\nATOM    365  CD1 TYR A  47       1.027  -9.791   2.712  1.00 94.11           C  \\nATOM    366  CD2 TYR A  47       2.434  -8.242   3.865  1.00 94.11           C  \\nATOM    367  CE1 TYR A  47       2.094 -10.675   2.584  1.00 94.11           C  \\nATOM    368  CE2 TYR A  47       3.507  -9.118   3.743  1.00 94.11           C  \\nATOM    369  OH  TYR A  47       4.388 -11.201   2.977  1.00 94.11           O  \\nATOM    370  CZ  TYR A  47       3.328 -10.330   3.101  1.00 94.11           C  \\nATOM    371  N   ALA A  48      -0.960  -7.277   0.585  1.00 94.93           N  \\nATOM    372  CA  ALA A  48      -1.070  -7.719  -0.803  1.00 94.93           C  \\nATOM    373  C   ALA A  48      -0.592  -6.635  -1.764  1.00 94.93           C  \\nATOM    374  CB  ALA A  48      -2.510  -8.113  -1.123  1.00 94.93           C  \\nATOM    375  O   ALA A  48       0.134  -6.920  -2.719  1.00 94.93           O  \\nATOM    376  N   HIS A  49      -1.047  -5.383  -1.572  1.00 94.43           N  \\nATOM    377  CA  HIS A  49      -0.628  -4.270  -2.417  1.00 94.43           C  \\nATOM    378  C   HIS A  49       0.873  -4.024  -2.300  1.00 94.43           C  \\nATOM    379  CB  HIS A  49      -1.398  -3.000  -2.051  1.00 94.43           C  \\nATOM    380  O   HIS A  49       1.534  -3.711  -3.293  1.00 94.43           O  \\nATOM    381  CG  HIS A  49      -2.792  -2.967  -2.590  1.00 94.43           C  \\nATOM    382  CD2 HIS A  49      -3.990  -3.001  -1.960  1.00 94.43           C  \\nATOM    383  ND1 HIS A  49      -3.067  -2.894  -3.938  1.00 94.43           N  \\nATOM    384  CE1 HIS A  49      -4.378  -2.883  -4.114  1.00 94.43           C  \\nATOM    385  NE2 HIS A  49      -4.961  -2.947  -2.929  1.00 94.43           N  \\nATOM    386  N   HIS A  50       1.380  -4.166  -1.093  1.00 92.96           N  \\nATOM    387  CA  HIS A  50       2.813  -4.037  -0.852  1.00 92.96           C  \\nATOM    388  C   HIS A  50       3.600  -5.082  -1.637  1.00 92.96           C  \\nATOM    389  CB  HIS A  50       3.118  -4.163   0.642  1.00 92.96           C  \\nATOM    390  O   HIS A  50       4.621  -4.763  -2.250  1.00 92.96           O  \\nATOM    391  CG  HIS A  50       4.523  -3.795   1.000  1.00 92.96           C  \\nATOM    392  CD2 HIS A  50       5.094  -2.590   1.234  1.00 92.96           C  \\nATOM    393  ND1 HIS A  50       5.523  -4.731   1.151  1.00 92.96           N  \\nATOM    394  CE1 HIS A  50       6.650  -4.116   1.465  1.00 92.96           C  \\nATOM    395  NE2 HIS A  50       6.417  -2.816   1.521  1.00 92.96           N  \\nATOM    396  N   LYS A  51       3.155  -6.301  -1.557  1.00 93.54           N  \\nATOM    397  CA  LYS A  51       3.809  -7.372  -2.305  1.00 93.54           C  \\nATOM    398  C   LYS A  51       3.761  -7.103  -3.806  1.00 93.54           C  \\nATOM    399  CB  LYS A  51       3.158  -8.720  -1.992  1.00 93.54           C  \\nATOM    400  O   LYS A  51       4.738  -7.346  -4.517  1.00 93.54           O  \\nATOM    401  CG  LYS A  51       3.600  -9.329  -0.670  1.00 93.54           C  \\nATOM    402  CD  LYS A  51       5.065  -9.745  -0.709  1.00 93.54           C  \\nATOM    403  CE  LYS A  51       5.447 -10.565   0.516  1.00 93.54           C  \\nATOM    404  NZ  LYS A  51       6.905 -10.888   0.534  1.00 93.54           N  \\nATOM    405  N   HIS A  52       2.611  -6.589  -4.297  1.00 91.99           N  \\nATOM    406  CA  HIS A  52       2.458  -6.258  -5.709  1.00 91.99           C  \\nATOM    407  C   HIS A  52       3.386  -5.117  -6.112  1.00 91.99           C  \\nATOM    408  CB  HIS A  52       1.006  -5.887  -6.018  1.00 91.99           C  \\nATOM    409  O   HIS A  52       3.956  -5.131  -7.205  1.00 91.99           O  \\nATOM    410  CG  HIS A  52       0.078  -7.059  -6.036  1.00 91.99           C  \\nATOM    411  CD2 HIS A  52       0.327  -8.389  -6.096  1.00 91.99           C  \\nATOM    412  ND1 HIS A  52      -1.293  -6.924  -5.993  1.00 91.99           N  \\nATOM    413  CE1 HIS A  52      -1.849  -8.124  -6.025  1.00 91.99           C  \\nATOM    414  NE2 HIS A  52      -0.888  -9.030  -6.088  1.00 91.99           N  \\nATOM    415  N   ALA A  53       3.554  -4.202  -5.255  1.00 92.15           N  \\nATOM    416  CA  ALA A  53       4.468  -3.083  -5.473  1.00 92.15           C  \\nATOM    417  C   ALA A  53       5.910  -3.567  -5.588  1.00 92.15           C  \\nATOM    418  CB  ALA A  53       4.340  -2.064  -4.343  1.00 92.15           C  \\nATOM    419  O   ALA A  53       6.655  -3.117  -6.462  1.00 92.15           O  \\nATOM    420  N   GLU A  54       6.318  -4.415  -4.699  1.00 90.54           N  \\nATOM    421  CA  GLU A  54       7.658  -4.992  -4.714  1.00 90.54           C  \\nATOM    422  C   GLU A  54       7.916  -5.756  -6.009  1.00 90.54           C  \\nATOM    423  CB  GLU A  54       7.860  -5.915  -3.510  1.00 90.54           C  \\nATOM    424  O   GLU A  54       9.011  -5.685  -6.571  1.00 90.54           O  \\nATOM    425  CG  GLU A  54       7.971  -5.179  -2.182  1.00 90.54           C  \\nATOM    426  CD  GLU A  54       8.249  -6.101  -1.006  1.00 90.54           C  \\nATOM    427  OE1 GLU A  54       8.884  -5.657  -0.023  1.00 90.54           O  \\nATOM    428  OE2 GLU A  54       7.828  -7.278  -1.068  1.00 90.54           O  \\nATOM    429  N   GLU A  55       6.920  -6.503  -6.421  1.00 92.12           N  \\nATOM    430  CA  GLU A  55       7.036  -7.270  -7.657  1.00 92.12           C  \\nATOM    431  C   GLU A  55       7.222  -6.352  -8.862  1.00 92.12           C  \\nATOM    432  CB  GLU A  55       5.805  -8.158  -7.857  1.00 92.12           C  \\nATOM    433  O   GLU A  55       8.038  -6.632  -9.743  1.00 92.12           O  \\nATOM    434  CG  GLU A  55       5.749  -9.352  -6.915  1.00 92.12           C  \\nATOM    435  CD  GLU A  55       4.488 -10.185  -7.078  1.00 92.12           C  \\nATOM    436  OE1 GLU A  55       4.452 -11.335  -6.583  1.00 92.12           O  \\nATOM    437  OE2 GLU A  55       3.528  -9.685  -7.706  1.00 92.12           O  \\nATOM    438  N   HIS A  56       6.397  -5.243  -8.914  1.00 90.70           N  \\nATOM    439  CA  HIS A  56       6.508  -4.295 -10.017  1.00 90.70           C  \\nATOM    440  C   HIS A  56       7.850  -3.571  -9.987  1.00 90.70           C  \\nATOM    441  CB  HIS A  56       5.364  -3.281  -9.970  1.00 90.70           C  \\nATOM    442  O   HIS A  56       8.444  -3.311 -11.036  1.00 90.70           O  \\nATOM    443  CG  HIS A  56       4.058  -3.828 -10.452  1.00 90.70           C  \\nATOM    444  CD2 HIS A  56       2.898  -4.069  -9.797  1.00 90.70           C  \\nATOM    445  ND1 HIS A  56       3.845  -4.199 -11.762  1.00 90.70           N  \\nATOM    446  CE1 HIS A  56       2.607  -4.645 -11.892  1.00 90.70           C  \\nATOM    447  NE2 HIS A  56       2.011  -4.577 -10.714  1.00 90.70           N  \\nATOM    448  N   ALA A  57       8.265  -3.246  -8.746  1.00 88.72           N  \\nATOM    449  CA  ALA A  57       9.567  -2.605  -8.582  1.00 88.72           C  \\nATOM    450  C   ALA A  57      10.691  -3.507  -9.083  1.00 88.72           C  \\nATOM    451  CB  ALA A  57       9.797  -2.236  -7.118  1.00 88.72           C  \\nATOM    452  O   ALA A  57      11.629  -3.039  -9.731  1.00 88.72           O  \\nATOM    453  N   ALA A  58      10.627  -4.757  -8.688  1.00 88.75           N  \\nATOM    454  CA  ALA A  58      11.618  -5.731  -9.138  1.00 88.75           C  \\nATOM    455  C   ALA A  58      11.610  -5.859 -10.659  1.00 88.75           C  \\nATOM    456  CB  ALA A  58      11.360  -7.090  -8.491  1.00 88.75           C  \\nATOM    457  O   ALA A  58      12.667  -5.973 -11.284  1.00 88.75           O  \\nATOM    458  N   GLN A  59      10.400  -5.868 -11.327  1.00 87.09           N  \\nATOM    459  CA  GLN A  59      10.244  -5.969 -12.774  1.00 87.09           C  \\nATOM    460  C   GLN A  59      10.818  -4.741 -13.476  1.00 87.09           C  \\nATOM    461  CB  GLN A  59       8.771  -6.145 -13.145  1.00 87.09           C  \\nATOM    462  O   GLN A  59      11.418  -4.856 -14.548  1.00 87.09           O  \\nATOM    463  CG  GLN A  59       8.213  -7.521 -12.811  1.00 87.09           C  \\nATOM    464  CD  GLN A  59       6.749  -7.667 -13.180  1.00 87.09           C  \\nATOM    465  NE2 GLN A  59       6.172  -8.824 -12.874  1.00 87.09           N  \\nATOM    466  OE1 GLN A  59       6.141  -6.746 -13.736  1.00 87.09           O  \\nATOM    467  N   ALA A  60      10.552  -3.636 -12.827  1.00 85.46           N  \\nATOM    468  CA  ALA A  60      11.109  -2.387 -13.341  1.00 85.46           C  \\nATOM    469  C   ALA A  60      12.634  -2.409 -13.300  1.00 85.46           C  \\nATOM    470  CB  ALA A  60      10.575  -1.199 -12.544  1.00 85.46           C  \\nATOM    471  O   ALA A  60      13.293  -1.964 -14.243  1.00 85.46           O  \\nATOM    472  N   ALA A  61      13.187  -2.888 -12.154  1.00 85.43           N  \\nATOM    473  CA  ALA A  61      14.634  -3.020 -12.004  1.00 85.43           C  \\nATOM    474  C   ALA A  61      15.210  -3.966 -13.053  1.00 85.43           C  \\nATOM    475  CB  ALA A  61      14.981  -3.511 -10.601  1.00 85.43           C  \\nATOM    476  O   ALA A  61      16.275  -3.704 -13.617  1.00 85.43           O  \\nATOM    477  N   LYS A  62      14.474  -5.152 -13.316  1.00 84.94           N  \\nATOM    478  CA  LYS A  62      14.899  -6.113 -14.329  1.00 84.94           C  \\nATOM    479  C   LYS A  62      14.874  -5.490 -15.722  1.00 84.94           C  \\nATOM    480  CB  LYS A  62      14.011  -7.357 -14.296  1.00 84.94           C  \\nATOM    481  O   LYS A  62      15.769  -5.735 -16.534  1.00 84.94           O  \\nATOM    482  CG  LYS A  62      14.276  -8.275 -13.111  1.00 84.94           C  \\nATOM    483  CD  LYS A  62      13.409  -9.526 -13.169  1.00 84.94           C  \\nATOM    484  CE  LYS A  62      13.649 -10.429 -11.967  1.00 84.94           C  \\nATOM    485  NZ  LYS A  62      12.793 -11.652 -12.012  1.00 84.94           N  \\nATOM    486  N   HIS A  63      13.782  -4.720 -15.989  1.00 82.64           N  \\nATOM    487  CA  HIS A  63      13.659  -4.050 -17.278  1.00 82.64           C  \\nATOM    488  C   HIS A  63      14.785  -3.043 -17.486  1.00 82.64           C  \\nATOM    489  CB  HIS A  63      12.302  -3.353 -17.392  1.00 82.64           C  \\nATOM    490  O   HIS A  63      15.344  -2.948 -18.581  1.00 82.64           O  \\nATOM    491  CG  HIS A  63      12.021  -2.805 -18.755  1.00 82.64           C  \\nATOM    492  CD2 HIS A  63      11.523  -3.398 -19.866  1.00 82.64           C  \\nATOM    493  ND1 HIS A  63      12.262  -1.491 -19.093  1.00 82.64           N  \\nATOM    494  CE1 HIS A  63      11.921  -1.298 -20.356  1.00 82.64           C  \\nATOM    495  NE2 HIS A  63      11.469  -2.440 -20.848  1.00 82.64           N  \\nATOM    496  N   ASP A  64      15.059  -2.278 -16.428  1.00 79.66           N  \\nATOM    497  CA  ASP A  64      16.133  -1.290 -16.455  1.00 79.66           C  \\nATOM    498  C   ASP A  64      17.489  -1.959 -16.674  1.00 79.66           C  \\nATOM    499  CB  ASP A  64      16.150  -0.480 -15.158  1.00 79.66           C  \\nATOM    500  O   ASP A  64      18.322  -1.452 -17.429  1.00 79.66           O  \\nATOM    501  CG  ASP A  64      17.126   0.683 -15.197  1.00 79.66           C  \\nATOM    502  OD1 ASP A  64      16.869   1.671 -15.918  1.00 79.66           O  \\nATOM    503  OD2 ASP A  64      18.163   0.609 -14.503  1.00 79.66           O  \\nATOM    504  N   ALA A  65      17.772  -3.080 -15.977  1.00 80.27           N  \\nATOM    505  CA  ALA A  65      19.002  -3.858 -16.096  1.00 80.27           C  \\nATOM    506  C   ALA A  65      19.135  -4.466 -17.489  1.00 80.27           C  \\nATOM    507  CB  ALA A  65      19.043  -4.955 -15.034  1.00 80.27           C  \\nATOM    508  O   ALA A  65      20.236  -4.537 -18.040  1.00 80.27           O  \\nATOM    509  N   GLU A  66      18.091  -4.964 -18.140  1.00 77.72           N  \\nATOM    510  CA  GLU A  66      18.068  -5.581 -19.462  1.00 77.72           C  \\nATOM    511  C   GLU A  66      18.221  -4.535 -20.562  1.00 77.72           C  \\nATOM    512  CB  GLU A  66      16.774  -6.373 -19.664  1.00 77.72           C  \\nATOM    513  O   GLU A  66      18.762  -4.824 -21.631  1.00 77.72           O  \\nATOM    514  CG  GLU A  66      16.708  -7.660 -18.856  1.00 77.72           C  \\nATOM    515  CD  GLU A  66      15.429  -8.450 -19.089  1.00 77.72           C  \\nATOM    516  OE1 GLU A  66      15.374  -9.641 -18.707  1.00 77.72           O  \\nATOM    517  OE2 GLU A  66      14.476  -7.873 -19.659  1.00 77.72           O  \\nATOM    518  N   HIS A  67      17.810  -3.284 -20.266  1.00 71.57           N  \\nATOM    519  CA  HIS A  67      17.824  -2.220 -21.264  1.00 71.57           C  \\nATOM    520  C   HIS A  67      19.062  -1.342 -21.115  1.00 71.57           C  \\nATOM    521  CB  HIS A  67      16.559  -1.367 -21.154  1.00 71.57           C  \\nATOM    522  O   HIS A  67      19.462  -0.662 -22.063  1.00 71.57           O  \\nATOM    523  CG  HIS A  67      15.332  -2.041 -21.682  1.00 71.57           C  \\nATOM    524  CD2 HIS A  67      14.385  -2.779 -21.056  1.00 71.57           C  \\nATOM    525  ND1 HIS A  67      14.972  -1.996 -23.011  1.00 71.57           N  \\nATOM    526  CE1 HIS A  67      13.852  -2.679 -23.180  1.00 71.57           C  \\nATOM    527  NE2 HIS A  67      13.475  -3.164 -22.010  1.00 71.57           N  \\nATOM    528  N   HIS A  68      19.738  -1.361 -19.951  1.00 64.99           N  \\nATOM    529  CA  HIS A  68      20.954  -0.595 -19.699  1.00 64.99           C  \\nATOM    530  C   HIS A  68      22.177  -1.504 -19.650  1.00 64.99           C  \\nATOM    531  CB  HIS A  68      20.830   0.190 -18.392  1.00 64.99           C  \\nATOM    532  O   HIS A  68      23.282  -1.049 -19.342  1.00 64.99           O  \\nATOM    533  CG  HIS A  68      19.894   1.354 -18.477  1.00 64.99           C  \\nATOM    534  CD2 HIS A  68      18.617   1.500 -18.051  1.00 64.99           C  \\nATOM    535  ND1 HIS A  68      20.246   2.550 -19.063  1.00 64.99           N  \\nATOM    536  CE1 HIS A  68      19.223   3.385 -18.993  1.00 64.99           C  \\nATOM    537  NE2 HIS A  68      18.222   2.773 -18.384  1.00 64.99           N  \\nATOM    538  N   ALA A  69      22.027  -2.908 -19.937  1.00 62.10           N  \\nATOM    539  CA  ALA A  69      23.210  -3.756 -20.066  1.00 62.10           C  \\nATOM    540  C   ALA A  69      23.945  -3.476 -21.373  1.00 62.10           C  \\nATOM    541  CB  ALA A  69      22.820  -5.229 -19.982  1.00 62.10           C  \\nATOM    542  O   ALA A  69      23.318  -3.303 -22.421  1.00 62.10           O  \\nATOM    543  N   PRO A  70      25.282  -2.812 -21.276  1.00 58.64           N  \\nATOM    544  CA  PRO A  70      26.087  -2.529 -22.467  1.00 58.64           C  \\nATOM    545  C   PRO A  70      26.147  -3.710 -23.433  1.00 58.64           C  \\nATOM    546  CB  PRO A  70      27.472  -2.223 -21.892  1.00 58.64           C  \\nATOM    547  O   PRO A  70      26.183  -4.865 -23.000  1.00 58.64           O  \\nATOM    548  CG  PRO A  70      27.441  -2.776 -20.504  1.00 58.64           C  \\nATOM    549  CD  PRO A  70      26.017  -3.099 -20.152  1.00 58.64           C  \\nATOM    550  N   LYS A  71      25.341  -3.775 -24.589  1.00 57.71           N  \\nATOM    551  CA  LYS A  71      25.653  -4.763 -25.617  1.00 57.71           C  \\nATOM    552  C   LYS A  71      27.149  -5.063 -25.656  1.00 57.71           C  \\nATOM    553  CB  LYS A  71      25.180  -4.280 -26.989  1.00 57.71           C  \\nATOM    554  O   LYS A  71      27.973  -4.149 -25.578  1.00 57.71           O  \\nATOM    555  CG  LYS A  71      23.695  -4.493 -27.243  1.00 57.71           C  \\nATOM    556  CD  LYS A  71      23.309  -4.101 -28.663  1.00 57.71           C  \\nATOM    557  CE  LYS A  71      21.813  -4.260 -28.900  1.00 57.71           C  \\nATOM    558  NZ  LYS A  71      21.397  -3.688 -30.216  1.00 57.71           N  \\nATOM    559  N   PRO A  72      27.637  -6.485 -25.281  1.00 57.58           N  \\nATOM    560  CA  PRO A  72      29.065  -6.706 -25.519  1.00 57.58           C  \\nATOM    561  C   PRO A  72      29.482  -6.385 -26.952  1.00 57.58           C  \\nATOM    562  CB  PRO A  72      29.246  -8.196 -25.218  1.00 57.58           C  \\nATOM    563  O   PRO A  72      28.746  -6.686 -27.895  1.00 57.58           O  \\nATOM    564  CG  PRO A  72      27.875  -8.779 -25.338  1.00 57.58           C  \\nATOM    565  CD  PRO A  72      26.906  -7.666 -25.616  1.00 57.58           C  \\nATOM    566  N   HIS A  73      30.142  -5.176 -27.311  1.00 48.76           N  \\nATOM    567  CA  HIS A  73      30.968  -5.002 -28.500  1.00 48.76           C  \\nATOM    568  C   HIS A  73      32.017  -6.103 -28.608  1.00 48.76           C  \\nATOM    569  CB  HIS A  73      31.646  -3.631 -28.485  1.00 48.76           C  \\nATOM    570  O   HIS A  73      32.601  -6.511 -27.602  1.00 48.76           O  \\nATOM    571  CG  HIS A  73      32.032  -3.137 -29.843  1.00 48.76           C  \\nATOM    572  CD2 HIS A  73      33.070  -2.369 -30.249  1.00 48.76           C  \\nATOM    573  ND1 HIS A  73      31.302  -3.429 -30.976  1.00 48.76           N  \\nATOM    574  CE1 HIS A  73      31.878  -2.860 -32.022  1.00 48.76           C  \\nATOM    575  NE2 HIS A  73      32.952  -2.210 -31.607  1.00 48.76           N  \\nTER     576      HIS A  73                                                      \\nENDMDL                                                                          \\nEND                                                                             \\n\",\"pdb\");\n\tviewer_1676284521176235.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n\tviewer_1676284521176235.zoomTo();\nviewer_1676284521176235.render();\n});\n</script>",
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              "        <p id=\"3dmolwarning_1676284521176235\" style=\"background-color:#ffcccc;color:black\">You appear to be running in JupyterLab (or JavaScript failed to load for some other reason).  You need to install the 3dmol extension: <br>\n",
              "        <tt>jupyter labextension install jupyterlab_3dmol</tt></p>\n",
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              "$3Dmolpromise = null;\n",
              "  $3Dmolpromise = loadScriptAsync('https://3dmol.org/build/3Dmol.js');\n",
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              "$3Dmolpromise.then(function() {\n",
              "viewer_1676284521176235 = $3Dmol.createViewer(document.getElementById(\"3dmolviewer_1676284521176235\"),{backgroundColor:\"white\"});\n",
              "viewer_1676284521176235.zoomTo();\n",
              "\tviewer_1676284521176235.addModel(\"MODEL     1                                                                     \\nATOM      1  N   MET A   1      10.211   1.599 -27.646  1.00 69.65           N  \\nATOM      2  CA  MET A   1       9.253   1.780 -26.559  1.00 69.65           C  \\nATOM      3  C   MET A   1       9.749   1.113 -25.280  1.00 69.65           C  \\nATOM      4  CB  MET A   1       7.885   1.215 -26.947  1.00 69.65           C  \\nATOM      5  O   MET A   1       8.948   0.653 -24.464  1.00 69.65           O  \\nATOM      6  CG  MET A   1       7.052   2.157 -27.799  1.00 69.65           C  \\nATOM      7  SD  MET A   1       5.272   1.709 -27.808  1.00 69.65           S  \\nATOM      8  CE  MET A   1       4.719   2.627 -29.272  1.00 69.65           C  \\nATOM      9  N   ALA A   2      10.956   1.018 -24.727  1.00 61.78           N  \\nATOM     10  CA  ALA A   2      11.627   0.372 -23.602  1.00 61.78           C  \\nATOM     11  C   ALA A   2      11.670   1.294 -22.386  1.00 61.78           C  \\nATOM     12  CB  ALA A   2      13.041  -0.049 -23.996  1.00 61.78           C  \\nATOM     13  O   ALA A   2      11.586   0.832 -21.246  1.00 61.78           O  \\nATOM     14  N   ALA A   3      11.576   2.628 -22.569  1.00 63.48           N  \\nATOM     15  CA  ALA A   3      11.542   3.623 -21.500  1.00 63.48           C  \\nATOM     16  C   ALA A   3      10.130   3.780 -20.942  1.00 63.48           C  \\nATOM     17  CB  ALA A   3      12.063   4.965 -22.006  1.00 63.48           C  \\nATOM     18  O   ALA A   3       9.953   4.085 -19.760  1.00 63.48           O  \\nATOM     19  N   HIS A   4       9.106   3.296 -21.746  1.00 70.19           N  \\nATOM     20  CA  HIS A   4       7.697   3.393 -21.384  1.00 70.19           C  \\nATOM     21  C   HIS A   4       7.256   2.191 -20.556  1.00 70.19           C  \\nATOM     22  CB  HIS A   4       6.829   3.514 -22.638  1.00 70.19           C  \\nATOM     23  O   HIS A   4       6.439   2.326 -19.643  1.00 70.19           O  \\nATOM     24  CG  HIS A   4       6.951   4.835 -23.328  1.00 70.19           C  \\nATOM     25  CD2 HIS A   4       7.648   5.201 -24.430  1.00 70.19           C  \\nATOM     26  ND1 HIS A   4       6.305   5.969 -22.885  1.00 70.19           N  \\nATOM     27  CE1 HIS A   4       6.601   6.978 -23.686  1.00 70.19           C  \\nATOM     28  NE2 HIS A   4       7.414   6.539 -24.632  1.00 70.19           N  \\nATOM     29  N   LYS A   5       8.060   1.065 -20.727  1.00 75.58           N  \\nATOM     30  CA  LYS A   5       7.727  -0.170 -20.022  1.00 75.58           C  \\nATOM     31  C   LYS A   5       8.358  -0.196 -18.633  1.00 75.58           C  \\nATOM     32  CB  LYS A   5       8.183  -1.387 -20.827  1.00 75.58           C  \\nATOM     33  O   LYS A   5       7.746  -0.677 -17.677  1.00 75.58           O  \\nATOM     34  CG  LYS A   5       7.535  -2.694 -20.394  1.00 75.58           C  \\nATOM     35  CD  LYS A   5       7.809  -3.812 -21.391  1.00 75.58           C  \\nATOM     36  CE  LYS A   5       7.110  -5.104 -20.991  1.00 75.58           C  \\nATOM     37  NZ  LYS A   5       7.418  -6.217 -21.938  1.00 75.58           N  \\nATOM     38  N   GLY A   6       9.489   0.443 -18.436  1.00 78.71           N  \\nATOM     39  CA  GLY A   6      10.113   0.640 -17.137  1.00 78.71           C  \\nATOM     40  C   GLY A   6       9.405   1.676 -16.285  1.00 78.71           C  \\nATOM     41  O   GLY A   6       9.216   1.475 -15.083  1.00 78.71           O  \\nATOM     42  N   ALA A   7       9.043   2.785 -16.892  1.00 82.73           N  \\nATOM     43  CA  ALA A   7       8.284   3.842 -16.227  1.00 82.73           C  \\nATOM     44  C   ALA A   7       6.896   3.352 -15.827  1.00 82.73           C  \\nATOM     45  CB  ALA A   7       8.173   5.067 -17.132  1.00 82.73           C  \\nATOM     46  O   ALA A   7       6.367   3.748 -14.786  1.00 82.73           O  \\nATOM     47  N   GLU A   8       6.302   2.514 -16.644  1.00 84.77           N  \\nATOM     48  CA  GLU A   8       4.996   1.926 -16.363  1.00 84.77           C  \\nATOM     49  C   GLU A   8       5.051   1.023 -15.134  1.00 84.77           C  \\nATOM     50  CB  GLU A   8       4.490   1.137 -17.573  1.00 84.77           C  \\nATOM     51  O   GLU A   8       4.143   1.044 -14.300  1.00 84.77           O  \\nATOM     52  CG  GLU A   8       3.060   0.638 -17.428  1.00 84.77           C  \\nATOM     53  CD  GLU A   8       2.543  -0.072 -18.669  1.00 84.77           C  \\nATOM     54  OE1 GLU A   8       2.001  -1.194 -18.546  1.00 84.77           O  \\nATOM     55  OE2 GLU A   8       2.681   0.498 -19.774  1.00 84.77           O  \\nATOM     56  N   HIS A   9       6.113   0.175 -14.966  1.00 86.86           N  \\nATOM     57  CA  HIS A   9       6.291  -0.676 -13.795  1.00 86.86           C  \\nATOM     58  C   HIS A   9       6.509   0.157 -12.536  1.00 86.86           C  \\nATOM     59  CB  HIS A   9       7.466  -1.633 -14.002  1.00 86.86           C  \\nATOM     60  O   HIS A   9       6.003  -0.185 -11.465  1.00 86.86           O  \\nATOM     61  CG  HIS A   9       7.173  -2.745 -14.958  1.00 86.86           C  \\nATOM     62  CD2 HIS A   9       7.658  -3.005 -16.195  1.00 86.86           C  \\nATOM     63  ND1 HIS A   9       6.276  -3.752 -14.676  1.00 86.86           N  \\nATOM     64  CE1 HIS A   9       6.223  -4.587 -15.701  1.00 86.86           C  \\nATOM     65  NE2 HIS A   9       7.052  -4.155 -16.636  1.00 86.86           N  \\nATOM     66  N   HIS A  10       7.225   1.301 -12.653  1.00 85.31           N  \\nATOM     67  CA  HIS A  10       7.404   2.219 -11.534  1.00 85.31           C  \\nATOM     68  C   HIS A  10       6.082   2.865 -11.134  1.00 85.31           C  \\nATOM     69  CB  HIS A  10       8.430   3.298 -11.886  1.00 85.31           C  \\nATOM     70  O   HIS A  10       5.809   3.045  -9.945  1.00 85.31           O  \\nATOM     71  CG  HIS A  10       9.846   2.821 -11.830  1.00 85.31           C  \\nATOM     72  CD2 HIS A  10      10.729   2.540 -12.817  1.00 85.31           C  \\nATOM     73  ND1 HIS A  10      10.503   2.577 -10.643  1.00 85.31           N  \\nATOM     74  CE1 HIS A  10      11.733   2.167 -10.903  1.00 85.31           C  \\nATOM     75  NE2 HIS A  10      11.895   2.135 -12.215  1.00 85.31           N  \\nATOM     76  N   HIS A  11       5.313   3.220 -12.144  1.00 89.71           N  \\nATOM     77  CA  HIS A  11       3.997   3.805 -11.914  1.00 89.71           C  \\nATOM     78  C   HIS A  11       3.074   2.822 -11.200  1.00 89.71           C  \\nATOM     79  CB  HIS A  11       3.369   4.248 -13.237  1.00 89.71           C  \\nATOM     80  O   HIS A  11       2.379   3.193 -10.252  1.00 89.71           O  \\nATOM     81  CG  HIS A  11       2.044   4.923 -13.076  1.00 89.71           C  \\nATOM     82  CD2 HIS A  11       0.793   4.513 -13.392  1.00 89.71           C  \\nATOM     83  ND1 HIS A  11       1.912   6.181 -12.530  1.00 89.71           N  \\nATOM     84  CE1 HIS A  11       0.632   6.517 -12.517  1.00 89.71           C  \\nATOM     85  NE2 HIS A  11      -0.067   5.522 -13.035  1.00 89.71           N  \\nATOM     86  N   LYS A  12       3.108   1.621 -11.616  1.00 89.90           N  \\nATOM     87  CA  LYS A  12       2.284   0.582 -11.005  1.00 89.90           C  \\nATOM     88  C   LYS A  12       2.752   0.273  -9.586  1.00 89.90           C  \\nATOM     89  CB  LYS A  12       2.309  -0.690 -11.854  1.00 89.90           C  \\nATOM     90  O   LYS A  12       1.934   0.044  -8.693  1.00 89.90           O  \\nATOM     91  CG  LYS A  12       1.506  -0.591 -13.142  1.00 89.90           C  \\nATOM     92  CD  LYS A  12       1.503  -1.911 -13.903  1.00 89.90           C  \\nATOM     93  CE  LYS A  12       0.723  -1.804 -15.206  1.00 89.90           C  \\nATOM     94  NZ  LYS A  12       0.703  -3.101 -15.947  1.00 89.90           N  \\nATOM     95  N   ALA A  13       4.006   0.280  -9.368  1.00 89.84           N  \\nATOM     96  CA  ALA A  13       4.579   0.101  -8.036  1.00 89.84           C  \\nATOM     97  C   ALA A  13       4.144   1.222  -7.096  1.00 89.84           C  \\nATOM     98  CB  ALA A  13       6.102   0.039  -8.116  1.00 89.84           C  \\nATOM     99  O   ALA A  13       3.763   0.967  -5.951  1.00 89.84           O  \\nATOM    100  N   ALA A  14       4.233   2.379  -7.603  1.00 91.19           N  \\nATOM    101  CA  ALA A  14       3.821   3.544  -6.824  1.00 91.19           C  \\nATOM    102  C   ALA A  14       2.327   3.496  -6.513  1.00 91.19           C  \\nATOM    103  CB  ALA A  14       4.164   4.832  -7.570  1.00 91.19           C  \\nATOM    104  O   ALA A  14       1.905   3.847  -5.409  1.00 91.19           O  \\nATOM    105  N   GLU A  15       1.567   3.111  -7.519  1.00 92.93           N  \\nATOM    106  CA  GLU A  15       0.124   2.996  -7.333  1.00 92.93           C  \\nATOM    107  C   GLU A  15      -0.213   1.981  -6.244  1.00 92.93           C  \\nATOM    108  CB  GLU A  15      -0.558   2.603  -8.647  1.00 92.93           C  \\nATOM    109  O   GLU A  15      -1.080   2.230  -5.404  1.00 92.93           O  \\nATOM    110  CG  GLU A  15      -0.617   3.729  -9.669  1.00 92.93           C  \\nATOM    111  CD  GLU A  15      -1.372   3.351 -10.934  1.00 92.93           C  \\nATOM    112  OE1 GLU A  15      -2.517   3.821 -11.121  1.00 92.93           O  \\nATOM    113  OE2 GLU A  15      -0.813   2.578 -11.744  1.00 92.93           O  \\nATOM    114  N   HIS A  16       0.406   0.829  -6.264  1.00 93.26           N  \\nATOM    115  CA  HIS A  16       0.186  -0.212  -5.266  1.00 93.26           C  \\nATOM    116  C   HIS A  16       0.646   0.243  -3.885  1.00 93.26           C  \\nATOM    117  CB  HIS A  16       0.911  -1.498  -5.664  1.00 93.26           C  \\nATOM    118  O   HIS A  16       0.017  -0.086  -2.877  1.00 93.26           O  \\nATOM    119  CG  HIS A  16       0.211  -2.277  -6.732  1.00 93.26           C  \\nATOM    120  CD2 HIS A  16       0.524  -2.482  -8.032  1.00 93.26           C  \\nATOM    121  ND1 HIS A  16      -0.969  -2.953  -6.507  1.00 93.26           N  \\nATOM    122  CE1 HIS A  16      -1.351  -3.544  -7.627  1.00 93.26           C  \\nATOM    123  NE2 HIS A  16      -0.462  -3.273  -8.568  1.00 93.26           N  \\nATOM    124  N   HIS A  17       1.755   1.024  -3.833  1.00 92.39           N  \\nATOM    125  CA  HIS A  17       2.206   1.584  -2.564  1.00 92.39           C  \\nATOM    126  C   HIS A  17       1.172   2.546  -1.988  1.00 92.39           C  \\nATOM    127  CB  HIS A  17       3.547   2.298  -2.740  1.00 92.39           C  \\nATOM    128  O   HIS A  17       0.931   2.553  -0.779  1.00 92.39           O  \\nATOM    129  CG  HIS A  17       4.727   1.380  -2.692  1.00 92.39           C  \\nATOM    130  CD2 HIS A  17       5.655   1.075  -3.629  1.00 92.39           C  \\nATOM    131  ND1 HIS A  17       5.054   0.647  -1.572  1.00 92.39           N  \\nATOM    132  CE1 HIS A  17       6.136  -0.071  -1.823  1.00 92.39           C  \\nATOM    133  NE2 HIS A  17       6.521   0.171  -3.065  1.00 92.39           N  \\nATOM    134  N   GLU A  18       0.668   3.401  -2.871  1.00 94.25           N  \\nATOM    135  CA  GLU A  18      -0.363   4.340  -2.440  1.00 94.25           C  \\nATOM    136  C   GLU A  18      -1.580   3.607  -1.884  1.00 94.25           C  \\nATOM    137  CB  GLU A  18      -0.780   5.250  -3.598  1.00 94.25           C  \\nATOM    138  O   GLU A  18      -2.133   4.001  -0.855  1.00 94.25           O  \\nATOM    139  CG  GLU A  18      -1.772   6.335  -3.201  1.00 94.25           C  \\nATOM    140  CD  GLU A  18      -2.184   7.224  -4.363  1.00 94.25           C  \\nATOM    141  OE1 GLU A  18      -3.073   8.087  -4.181  1.00 94.25           O  \\nATOM    142  OE2 GLU A  18      -1.615   7.056  -5.465  1.00 94.25           O  \\nATOM    143  N   GLN A  19      -1.982   2.549  -2.580  1.00 94.57           N  \\nATOM    144  CA  GLN A  19      -3.137   1.765  -2.154  1.00 94.57           C  \\nATOM    145  C   GLN A  19      -2.859   1.047  -0.837  1.00 94.57           C  \\nATOM    146  CB  GLN A  19      -3.527   0.753  -3.233  1.00 94.57           C  \\nATOM    147  O   GLN A  19      -3.741   0.942   0.017  1.00 94.57           O  \\nATOM    148  CG  GLN A  19      -4.155   1.382  -4.469  1.00 94.57           C  \\nATOM    149  CD  GLN A  19      -4.615   0.351  -5.483  1.00 94.57           C  \\nATOM    150  NE2 GLN A  19      -5.330   0.805  -6.507  1.00 94.57           N  \\nATOM    151  OE1 GLN A  19      -4.328  -0.843  -5.348  1.00 94.57           O  \\nATOM    152  N   ALA A  20      -1.662   0.585  -0.690  1.00 93.69           N  \\nATOM    153  CA  ALA A  20      -1.230  -0.057   0.549  1.00 93.69           C  \\nATOM    154  C   ALA A  20      -1.287   0.919   1.721  1.00 93.69           C  \\nATOM    155  CB  ALA A  20       0.181  -0.617   0.394  1.00 93.69           C  \\nATOM    156  O   ALA A  20      -1.745   0.565   2.810  1.00 93.69           O  \\nATOM    157  N   ALA A  21      -0.767   2.081   1.525  1.00 94.46           N  \\nATOM    158  CA  ALA A  21      -0.781   3.118   2.553  1.00 94.46           C  \\nATOM    159  C   ALA A  21      -2.209   3.462   2.966  1.00 94.46           C  \\nATOM    160  CB  ALA A  21      -0.058   4.369   2.057  1.00 94.46           C  \\nATOM    161  O   ALA A  21      -2.490   3.650   4.152  1.00 94.46           O  \\nATOM    162  N   LYS A  22      -3.120   3.607   1.986  1.00 95.12           N  \\nATOM    163  CA  LYS A  22      -4.526   3.890   2.261  1.00 95.12           C  \\nATOM    164  C   LYS A  22      -5.147   2.798   3.128  1.00 95.12           C  \\nATOM    165  CB  LYS A  22      -5.311   4.031   0.955  1.00 95.12           C  \\nATOM    166  O   LYS A  22      -5.888   3.091   4.068  1.00 95.12           O  \\nATOM    167  CG  LYS A  22      -5.012   5.312   0.190  1.00 95.12           C  \\nATOM    168  CD  LYS A  22      -5.834   5.402  -1.090  1.00 95.12           C  \\nATOM    169  CE  LYS A  22      -5.474   6.640  -1.900  1.00 95.12           C  \\nATOM    170  NZ  LYS A  22      -6.236   6.704  -3.183  1.00 95.12           N  \\nATOM    171  N   HIS A  23      -4.856   1.513   2.845  1.00 95.23           N  \\nATOM    172  CA  HIS A  23      -5.398   0.384   3.592  1.00 95.23           C  \\nATOM    173  C   HIS A  23      -4.791   0.305   4.989  1.00 95.23           C  \\nATOM    174  CB  HIS A  23      -5.152  -0.925   2.839  1.00 95.23           C  \\nATOM    175  O   HIS A  23      -5.474  -0.060   5.948  1.00 95.23           O  \\nATOM    176  CG  HIS A  23      -6.077  -1.134   1.682  1.00 95.23           C  \\nATOM    177  CD2 HIS A  23      -5.854  -1.092   0.347  1.00 95.23           C  \\nATOM    178  ND1 HIS A  23      -7.415  -1.423   1.842  1.00 95.23           N  \\nATOM    179  CE1 HIS A  23      -7.976  -1.551   0.651  1.00 95.23           C  \\nATOM    180  NE2 HIS A  23      -7.051  -1.355  -0.272  1.00 95.23           N  \\nATOM    181  N   HIS A  24      -3.493   0.662   5.101  1.00 94.34           N  \\nATOM    182  CA  HIS A  24      -2.863   0.714   6.416  1.00 94.34           C  \\nATOM    183  C   HIS A  24      -3.519   1.770   7.300  1.00 94.34           C  \\nATOM    184  CB  HIS A  24      -1.366   0.998   6.282  1.00 94.34           C  \\nATOM    185  O   HIS A  24      -3.730   1.542   8.493  1.00 94.34           O  \\nATOM    186  CG  HIS A  24      -0.545  -0.224   6.021  1.00 94.34           C  \\nATOM    187  CD2 HIS A  24       0.197  -0.585   4.948  1.00 94.34           C  \\nATOM    188  ND1 HIS A  24      -0.427  -1.250   6.934  1.00 94.34           N  \\nATOM    189  CE1 HIS A  24       0.356  -2.190   6.432  1.00 94.34           C  \\nATOM    190  NE2 HIS A  24       0.747  -1.811   5.228  1.00 94.34           N  \\nATOM    191  N   HIS A  25      -3.793   2.896   6.656  1.00 95.52           N  \\nATOM    192  CA  HIS A  25      -4.491   3.965   7.362  1.00 95.52           C  \\nATOM    193  C   HIS A  25      -5.872   3.511   7.823  1.00 95.52           C  \\nATOM    194  CB  HIS A  25      -4.615   5.203   6.473  1.00 95.52           C  \\nATOM    195  O   HIS A  25      -6.268   3.772   8.962  1.00 95.52           O  \\nATOM    196  CG  HIS A  25      -5.269   6.365   7.150  1.00 95.52           C  \\nATOM    197  CD2 HIS A  25      -6.473   6.950   6.946  1.00 95.52           C  \\nATOM    198  ND1 HIS A  25      -4.668   7.065   8.173  1.00 95.52           N  \\nATOM    199  CE1 HIS A  25      -5.477   8.033   8.571  1.00 95.52           C  \\nATOM    200  NE2 HIS A  25      -6.579   7.985   7.842  1.00 95.52           N  \\nATOM    201  N   ALA A  26      -6.563   2.897   6.960  1.00 94.85           N  \\nATOM    202  CA  ALA A  26      -7.886   2.370   7.285  1.00 94.85           C  \\nATOM    203  C   ALA A  26      -7.804   1.322   8.390  1.00 94.85           C  \\nATOM    204  CB  ALA A  26      -8.542   1.776   6.040  1.00 94.85           C  \\nATOM    205  O   ALA A  26      -8.660   1.276   9.276  1.00 94.85           O  \\nATOM    206  N   ALA A  27      -6.795   0.458   8.300  1.00 95.44           N  \\nATOM    207  CA  ALA A  27      -6.569  -0.548   9.334  1.00 95.44           C  \\nATOM    208  C   ALA A  27      -6.347   0.105  10.696  1.00 95.44           C  \\nATOM    209  CB  ALA A  27      -5.376  -1.428   8.969  1.00 95.44           C  \\nATOM    210  O   ALA A  27      -6.888  -0.352  11.705  1.00 95.44           O  \\nATOM    211  N   ALA A  28      -5.525   1.120  10.712  1.00 95.41           N  \\nATOM    212  CA  ALA A  28      -5.241   1.852  11.943  1.00 95.41           C  \\nATOM    213  C   ALA A  28      -6.505   2.503  12.498  1.00 95.41           C  \\nATOM    214  CB  ALA A  28      -4.167   2.909  11.697  1.00 95.41           C  \\nATOM    215  O   ALA A  28      -6.742   2.480  13.708  1.00 95.41           O  \\nATOM    216  N   GLU A  29      -7.299   3.120  11.587  1.00 96.18           N  \\nATOM    217  CA  GLU A  29      -8.551   3.749  11.998  1.00 96.18           C  \\nATOM    218  C   GLU A  29      -9.510   2.727  12.600  1.00 96.18           C  \\nATOM    219  CB  GLU A  29      -9.212   4.457  10.812  1.00 96.18           C  \\nATOM    220  O   GLU A  29     -10.141   2.990  13.627  1.00 96.18           O  \\nATOM    221  CG  GLU A  29      -8.502   5.732  10.383  1.00 96.18           C  \\nATOM    222  CD  GLU A  29      -9.312   6.571   9.407  1.00 96.18           C  \\nATOM    223  OE1 GLU A  29      -9.849   7.626   9.813  1.00 96.18           O  \\nATOM    224  OE2 GLU A  29      -9.412   6.168   8.226  1.00 96.18           O  \\nATOM    225  N   HIS A  30      -9.699   1.490  11.971  1.00 96.35           N  \\nATOM    226  CA  HIS A  30     -10.568   0.422  12.452  1.00 96.35           C  \\nATOM    227  C   HIS A  30     -10.053  -0.158  13.765  1.00 96.35           C  \\nATOM    228  CB  HIS A  30     -10.690  -0.684  11.402  1.00 96.35           C  \\nATOM    229  O   HIS A  30     -10.842  -0.553  14.626  1.00 96.35           O  \\nATOM    230  CG  HIS A  30     -11.609  -0.340  10.273  1.00 96.35           C  \\nATOM    231  CD2 HIS A  30     -11.365  -0.145   8.956  1.00 96.35           C  \\nATOM    232  ND1 HIS A  30     -12.964  -0.156  10.447  1.00 96.35           N  \\nATOM    233  CE1 HIS A  30     -13.515   0.138   9.281  1.00 96.35           C  \\nATOM    234  NE2 HIS A  30     -12.567   0.151   8.360  1.00 96.35           N  \\nATOM    235  N   HIS A  31      -8.721  -0.267  13.843  1.00 94.52           N  \\nATOM    236  CA  HIS A  31      -8.102  -0.755  15.070  1.00 94.52           C  \\nATOM    237  C   HIS A  31      -8.418   0.160  16.249  1.00 94.52           C  \\nATOM    238  CB  HIS A  31      -6.587  -0.879  14.893  1.00 94.52           C  \\nATOM    239  O   HIS A  31      -8.719  -0.316  17.346  1.00 94.52           O  \\nATOM    240  CG  HIS A  31      -5.914  -1.631  15.997  1.00 94.52           C  \\nATOM    241  CD2 HIS A  31      -5.818  -2.959  16.239  1.00 94.52           C  \\nATOM    242  ND1 HIS A  31      -5.235  -1.002  17.019  1.00 94.52           N  \\nATOM    243  CE1 HIS A  31      -4.749  -1.915  17.843  1.00 94.52           C  \\nATOM    244  NE2 HIS A  31      -5.089  -3.111  17.393  1.00 94.52           N  \\nATOM    245  N   GLU A  32      -8.433   1.565  16.015  1.00 96.12           N  \\nATOM    246  CA  GLU A  32      -8.746   2.551  17.045  1.00 96.12           C  \\nATOM    247  C   GLU A  32     -10.214   2.475  17.453  1.00 96.12           C  \\nATOM    248  CB  GLU A  32      -8.408   3.963  16.558  1.00 96.12           C  \\nATOM    249  O   GLU A  32     -10.559   2.752  18.604  1.00 96.12           O  \\nATOM    250  CG  GLU A  32      -6.915   4.246  16.483  1.00 96.12           C  \\nATOM    251  CD  GLU A  32      -6.595   5.671  16.059  1.00 96.12           C  \\nATOM    252  OE1 GLU A  32      -5.442   6.118  16.255  1.00 96.12           O  \\nATOM    253  OE2 GLU A  32      -7.506   6.346  15.529  1.00 96.12           O  \\nATOM    254  N   LYS A  33     -11.088   2.020  16.569  1.00 95.94           N  \\nATOM    255  CA  LYS A  33     -12.532   1.935  16.771  1.00 95.94           C  \\nATOM    256  C   LYS A  33     -12.929   0.575  17.337  1.00 95.94           C  \\nATOM    257  CB  LYS A  33     -13.274   2.194  15.459  1.00 95.94           C  \\nATOM    258  O   LYS A  33     -14.092   0.355  17.681  1.00 95.94           O  \\nATOM    259  CG  LYS A  33     -13.135   3.617  14.939  1.00 95.94           C  \\nATOM    260  CD  LYS A  33     -13.870   3.804  13.618  1.00 95.94           C  \\nATOM    261  CE  LYS A  33     -13.659   5.202  13.053  1.00 95.94           C  \\nATOM    262  NZ  LYS A  33     -14.301   5.360  11.713  1.00 95.94           N  \\nATOM    263  N   GLY A  34     -11.851  -0.357  17.524  1.00 95.94           N  \\nATOM    264  CA  GLY A  34     -12.136  -1.677  18.063  1.00 95.94           C  \\nATOM    265  C   GLY A  34     -12.657  -2.648  17.020  1.00 95.94           C  \\nATOM    266  O   GLY A  34     -13.219  -3.691  17.361  1.00 95.94           O  \\nATOM    267  N   GLU A  35     -12.734  -2.199  15.768  1.00 96.80           N  \\nATOM    268  CA  GLU A  35     -13.139  -3.060  14.661  1.00 96.80           C  \\nATOM    269  C   GLU A  35     -11.973  -3.912  14.169  1.00 96.80           C  \\nATOM    270  CB  GLU A  35     -13.703  -2.225  13.509  1.00 96.80           C  \\nATOM    271  O   GLU A  35     -11.352  -3.596  13.152  1.00 96.80           O  \\nATOM    272  CG  GLU A  35     -14.916  -1.389  13.891  1.00 96.80           C  \\nATOM    273  CD  GLU A  35     -15.398  -0.483  12.769  1.00 96.80           C  \\nATOM    274  OE1 GLU A  35     -16.579  -0.591  12.368  1.00 96.80           O  \\nATOM    275  OE2 GLU A  35     -14.588   0.340  12.288  1.00 96.80           O  \\nATOM    276  N   HIS A  36     -11.632  -4.954  14.913  1.00 95.34           N  \\nATOM    277  CA  HIS A  36     -10.459  -5.797  14.713  1.00 95.34           C  \\nATOM    278  C   HIS A  36     -10.572  -6.603  13.424  1.00 95.34           C  \\nATOM    279  CB  HIS A  36     -10.266  -6.737  15.905  1.00 95.34           C  \\nATOM    280  O   HIS A  36      -9.574  -6.820  12.732  1.00 95.34           O  \\nATOM    281  CG  HIS A  36     -10.017  -6.025  17.197  1.00 95.34           C  \\nATOM    282  CD2 HIS A  36     -10.757  -5.953  18.328  1.00 95.34           C  \\nATOM    283  ND1 HIS A  36      -8.888  -5.269  17.424  1.00 95.34           N  \\nATOM    284  CE1 HIS A  36      -8.943  -4.762  18.645  1.00 95.34           C  \\nATOM    285  NE2 HIS A  36     -10.067  -5.162  19.214  1.00 95.34           N  \\nATOM    286  N   GLU A  37     -11.788  -6.990  13.060  1.00 95.28           N  \\nATOM    287  CA  GLU A  37     -12.016  -7.770  11.847  1.00 95.28           C  \\nATOM    288  C   GLU A  37     -11.765  -6.933  10.596  1.00 95.28           C  \\nATOM    289  CB  GLU A  37     -13.441  -8.330  11.828  1.00 95.28           C  \\nATOM    290  O   GLU A  37     -11.137  -7.401   9.645  1.00 95.28           O  \\nATOM    291  CG  GLU A  37     -13.666  -9.473  12.807  1.00 95.28           C  \\nATOM    292  CD  GLU A  37     -15.077 -10.036  12.757  1.00 95.28           C  \\nATOM    293  OE1 GLU A  37     -15.289 -11.183  13.212  1.00 95.28           O  \\nATOM    294  OE2 GLU A  37     -15.978  -9.325  12.259  1.00 95.28           O  \\nATOM    295  N   GLN A  38     -12.203  -5.653  10.645  1.00 95.32           N  \\nATOM    296  CA  GLN A  38     -12.010  -4.734   9.528  1.00 95.32           C  \\nATOM    297  C   GLN A  38     -10.561  -4.263   9.447  1.00 95.32           C  \\nATOM    298  CB  GLN A  38     -12.947  -3.531   9.653  1.00 95.32           C  \\nATOM    299  O   GLN A  38     -10.015  -4.101   8.354  1.00 95.32           O  \\nATOM    300  CG  GLN A  38     -14.411  -3.864   9.402  1.00 95.32           C  \\nATOM    301  CD  GLN A  38     -15.177  -4.149  10.680  1.00 95.32           C  \\nATOM    302  NE2 GLN A  38     -16.460  -4.467  10.545  1.00 95.32           N  \\nATOM    303  OE1 GLN A  38     -14.619  -4.084  11.781  1.00 95.32           O  \\nATOM    304  N   ALA A  39      -9.923  -4.101  10.647  1.00 95.63           N  \\nATOM    305  CA  ALA A  39      -8.511  -3.738  10.731  1.00 95.63           C  \\nATOM    306  C   ALA A  39      -7.627  -4.827  10.130  1.00 95.63           C  \\nATOM    307  CB  ALA A  39      -8.114  -3.476  12.182  1.00 95.63           C  \\nATOM    308  O   ALA A  39      -6.696  -4.534   9.376  1.00 95.63           O  \\nATOM    309  N   ALA A  40      -7.887  -6.118  10.453  1.00 95.50           N  \\nATOM    310  CA  ALA A  40      -7.131  -7.253   9.931  1.00 95.50           C  \\nATOM    311  C   ALA A  40      -7.296  -7.374   8.419  1.00 95.50           C  \\nATOM    312  CB  ALA A  40      -7.570  -8.545  10.616  1.00 95.50           C  \\nATOM    313  O   ALA A  40      -6.337  -7.680   7.706  1.00 95.50           O  \\nATOM    314  N   HIS A  41      -8.519  -7.142   7.977  1.00 96.22           N  \\nATOM    315  CA  HIS A  41      -8.806  -7.223   6.550  1.00 96.22           C  \\nATOM    316  C   HIS A  41      -8.032  -6.166   5.771  1.00 96.22           C  \\nATOM    317  CB  HIS A  41     -10.307  -7.069   6.296  1.00 96.22           C  \\nATOM    318  O   HIS A  41      -7.436  -6.465   4.733  1.00 96.22           O  \\nATOM    319  CG  HIS A  41     -10.682  -7.145   4.850  1.00 96.22           C  \\nATOM    320  CD2 HIS A  41     -11.076  -6.184   3.982  1.00 96.22           C  \\nATOM    321  ND1 HIS A  41     -10.676  -8.327   4.141  1.00 96.22           N  \\nATOM    322  CE1 HIS A  41     -11.052  -8.088   2.896  1.00 96.22           C  \\nATOM    323  NE2 HIS A  41     -11.300  -6.795   2.773  1.00 96.22           N  \\nATOM    324  N   HIS A  42      -8.032  -4.916   6.243  1.00 95.86           N  \\nATOM    325  CA  HIS A  42      -7.322  -3.821   5.592  1.00 95.86           C  \\nATOM    326  C   HIS A  42      -5.812  -4.024   5.664  1.00 95.86           C  \\nATOM    327  CB  HIS A  42      -7.702  -2.483   6.229  1.00 95.86           C  \\nATOM    328  O   HIS A  42      -5.090  -3.682   4.724  1.00 95.86           O  \\nATOM    329  CG  HIS A  42      -9.042  -1.974   5.802  1.00 95.86           C  \\nATOM    330  CD2 HIS A  42     -10.231  -1.948   6.449  1.00 95.86           C  \\nATOM    331  ND1 HIS A  42      -9.263  -1.410   4.564  1.00 95.86           N  \\nATOM    332  CE1 HIS A  42     -10.534  -1.057   4.469  1.00 95.86           C  \\nATOM    333  NE2 HIS A  42     -11.143  -1.373   5.599  1.00 95.86           N  \\nATOM    334  N   ALA A  43      -5.357  -4.621   6.813  1.00 94.88           N  \\nATOM    335  CA  ALA A  43      -3.944  -4.969   6.941  1.00 94.88           C  \\nATOM    336  C   ALA A  43      -3.543  -6.020   5.910  1.00 94.88           C  \\nATOM    337  CB  ALA A  43      -3.645  -5.469   8.352  1.00 94.88           C  \\nATOM    338  O   ALA A  43      -2.477  -5.922   5.297  1.00 94.88           O  \\nATOM    339  N   ASP A  44      -4.397  -7.010   5.708  1.00 96.08           N  \\nATOM    340  CA  ASP A  44      -4.141  -8.064   4.731  1.00 96.08           C  \\nATOM    341  C   ASP A  44      -4.107  -7.501   3.312  1.00 96.08           C  \\nATOM    342  CB  ASP A  44      -5.203  -9.162   4.835  1.00 96.08           C  \\nATOM    343  O   ASP A  44      -3.231  -7.855   2.519  1.00 96.08           O  \\nATOM    344  CG  ASP A  44      -4.947 -10.325   3.894  1.00 96.08           C  \\nATOM    345  OD1 ASP A  44      -5.608 -10.411   2.836  1.00 96.08           O  \\nATOM    346  OD2 ASP A  44      -4.079 -11.166   4.214  1.00 96.08           O  \\nATOM    347  N   THR A  45      -5.100  -6.690   2.997  1.00 95.17           N  \\nATOM    348  CA  THR A  45      -5.174  -6.051   1.688  1.00 95.17           C  \\nATOM    349  C   THR A  45      -3.958  -5.160   1.451  1.00 95.17           C  \\nATOM    350  CB  THR A  45      -6.461  -5.217   1.546  1.00 95.17           C  \\nATOM    351  O   THR A  45      -3.424  -5.113   0.341  1.00 95.17           O  \\nATOM    352  CG2 THR A  45      -6.578  -4.619   0.148  1.00 95.17           C  \\nATOM    353  OG1 THR A  45      -7.597  -6.055   1.792  1.00 95.17           O  \\nATOM    354  N   ALA A  46      -3.572  -4.377   2.483  1.00 94.99           N  \\nATOM    355  CA  ALA A  46      -2.377  -3.540   2.410  1.00 94.99           C  \\nATOM    356  C   ALA A  46      -1.142  -4.375   2.085  1.00 94.99           C  \\nATOM    357  CB  ALA A  46      -2.175  -2.784   3.721  1.00 94.99           C  \\nATOM    358  O   ALA A  46      -0.323  -3.985   1.250  1.00 94.99           O  \\nATOM    359  N   TYR A  47      -1.035  -5.512   2.764  1.00 94.11           N  \\nATOM    360  CA  TYR A  47       0.085  -6.418   2.532  1.00 94.11           C  \\nATOM    361  C   TYR A  47       0.097  -6.912   1.091  1.00 94.11           C  \\nATOM    362  CB  TYR A  47       0.020  -7.610   3.492  1.00 94.11           C  \\nATOM    363  O   TYR A  47       1.157  -7.004   0.468  1.00 94.11           O  \\nATOM    364  CG  TYR A  47       1.181  -8.564   3.354  1.00 94.11           C  \\nATOM    365  CD1 TYR A  47       1.027  -9.791   2.712  1.00 94.11           C  \\nATOM    366  CD2 TYR A  47       2.434  -8.242   3.865  1.00 94.11           C  \\nATOM    367  CE1 TYR A  47       2.094 -10.675   2.584  1.00 94.11           C  \\nATOM    368  CE2 TYR A  47       3.507  -9.118   3.743  1.00 94.11           C  \\nATOM    369  OH  TYR A  47       4.388 -11.201   2.977  1.00 94.11           O  \\nATOM    370  CZ  TYR A  47       3.328 -10.330   3.101  1.00 94.11           C  \\nATOM    371  N   ALA A  48      -0.960  -7.277   0.585  1.00 94.93           N  \\nATOM    372  CA  ALA A  48      -1.070  -7.719  -0.803  1.00 94.93           C  \\nATOM    373  C   ALA A  48      -0.592  -6.635  -1.764  1.00 94.93           C  \\nATOM    374  CB  ALA A  48      -2.510  -8.113  -1.123  1.00 94.93           C  \\nATOM    375  O   ALA A  48       0.134  -6.920  -2.719  1.00 94.93           O  \\nATOM    376  N   HIS A  49      -1.047  -5.383  -1.572  1.00 94.43           N  \\nATOM    377  CA  HIS A  49      -0.628  -4.270  -2.417  1.00 94.43           C  \\nATOM    378  C   HIS A  49       0.873  -4.024  -2.300  1.00 94.43           C  \\nATOM    379  CB  HIS A  49      -1.398  -3.000  -2.051  1.00 94.43           C  \\nATOM    380  O   HIS A  49       1.534  -3.711  -3.293  1.00 94.43           O  \\nATOM    381  CG  HIS A  49      -2.792  -2.967  -2.590  1.00 94.43           C  \\nATOM    382  CD2 HIS A  49      -3.990  -3.001  -1.960  1.00 94.43           C  \\nATOM    383  ND1 HIS A  49      -3.067  -2.894  -3.938  1.00 94.43           N  \\nATOM    384  CE1 HIS A  49      -4.378  -2.883  -4.114  1.00 94.43           C  \\nATOM    385  NE2 HIS A  49      -4.961  -2.947  -2.929  1.00 94.43           N  \\nATOM    386  N   HIS A  50       1.380  -4.166  -1.093  1.00 92.96           N  \\nATOM    387  CA  HIS A  50       2.813  -4.037  -0.852  1.00 92.96           C  \\nATOM    388  C   HIS A  50       3.600  -5.082  -1.637  1.00 92.96           C  \\nATOM    389  CB  HIS A  50       3.118  -4.163   0.642  1.00 92.96           C  \\nATOM    390  O   HIS A  50       4.621  -4.763  -2.250  1.00 92.96           O  \\nATOM    391  CG  HIS A  50       4.523  -3.795   1.000  1.00 92.96           C  \\nATOM    392  CD2 HIS A  50       5.094  -2.590   1.234  1.00 92.96           C  \\nATOM    393  ND1 HIS A  50       5.523  -4.731   1.151  1.00 92.96           N  \\nATOM    394  CE1 HIS A  50       6.650  -4.116   1.465  1.00 92.96           C  \\nATOM    395  NE2 HIS A  50       6.417  -2.816   1.521  1.00 92.96           N  \\nATOM    396  N   LYS A  51       3.155  -6.301  -1.557  1.00 93.54           N  \\nATOM    397  CA  LYS A  51       3.809  -7.372  -2.305  1.00 93.54           C  \\nATOM    398  C   LYS A  51       3.761  -7.103  -3.806  1.00 93.54           C  \\nATOM    399  CB  LYS A  51       3.158  -8.720  -1.992  1.00 93.54           C  \\nATOM    400  O   LYS A  51       4.738  -7.346  -4.517  1.00 93.54           O  \\nATOM    401  CG  LYS A  51       3.600  -9.329  -0.670  1.00 93.54           C  \\nATOM    402  CD  LYS A  51       5.065  -9.745  -0.709  1.00 93.54           C  \\nATOM    403  CE  LYS A  51       5.447 -10.565   0.516  1.00 93.54           C  \\nATOM    404  NZ  LYS A  51       6.905 -10.888   0.534  1.00 93.54           N  \\nATOM    405  N   HIS A  52       2.611  -6.589  -4.297  1.00 91.99           N  \\nATOM    406  CA  HIS A  52       2.458  -6.258  -5.709  1.00 91.99           C  \\nATOM    407  C   HIS A  52       3.386  -5.117  -6.112  1.00 91.99           C  \\nATOM    408  CB  HIS A  52       1.006  -5.887  -6.018  1.00 91.99           C  \\nATOM    409  O   HIS A  52       3.956  -5.131  -7.205  1.00 91.99           O  \\nATOM    410  CG  HIS A  52       0.078  -7.059  -6.036  1.00 91.99           C  \\nATOM    411  CD2 HIS A  52       0.327  -8.389  -6.096  1.00 91.99           C  \\nATOM    412  ND1 HIS A  52      -1.293  -6.924  -5.993  1.00 91.99           N  \\nATOM    413  CE1 HIS A  52      -1.849  -8.124  -6.025  1.00 91.99           C  \\nATOM    414  NE2 HIS A  52      -0.888  -9.030  -6.088  1.00 91.99           N  \\nATOM    415  N   ALA A  53       3.554  -4.202  -5.255  1.00 92.15           N  \\nATOM    416  CA  ALA A  53       4.468  -3.083  -5.473  1.00 92.15           C  \\nATOM    417  C   ALA A  53       5.910  -3.567  -5.588  1.00 92.15           C  \\nATOM    418  CB  ALA A  53       4.340  -2.064  -4.343  1.00 92.15           C  \\nATOM    419  O   ALA A  53       6.655  -3.117  -6.462  1.00 92.15           O  \\nATOM    420  N   GLU A  54       6.318  -4.415  -4.699  1.00 90.54           N  \\nATOM    421  CA  GLU A  54       7.658  -4.992  -4.714  1.00 90.54           C  \\nATOM    422  C   GLU A  54       7.916  -5.756  -6.009  1.00 90.54           C  \\nATOM    423  CB  GLU A  54       7.860  -5.915  -3.510  1.00 90.54           C  \\nATOM    424  O   GLU A  54       9.011  -5.685  -6.571  1.00 90.54           O  \\nATOM    425  CG  GLU A  54       7.971  -5.179  -2.182  1.00 90.54           C  \\nATOM    426  CD  GLU A  54       8.249  -6.101  -1.006  1.00 90.54           C  \\nATOM    427  OE1 GLU A  54       8.884  -5.657  -0.023  1.00 90.54           O  \\nATOM    428  OE2 GLU A  54       7.828  -7.278  -1.068  1.00 90.54           O  \\nATOM    429  N   GLU A  55       6.920  -6.503  -6.421  1.00 92.12           N  \\nATOM    430  CA  GLU A  55       7.036  -7.270  -7.657  1.00 92.12           C  \\nATOM    431  C   GLU A  55       7.222  -6.352  -8.862  1.00 92.12           C  \\nATOM    432  CB  GLU A  55       5.805  -8.158  -7.857  1.00 92.12           C  \\nATOM    433  O   GLU A  55       8.038  -6.632  -9.743  1.00 92.12           O  \\nATOM    434  CG  GLU A  55       5.749  -9.352  -6.915  1.00 92.12           C  \\nATOM    435  CD  GLU A  55       4.488 -10.185  -7.078  1.00 92.12           C  \\nATOM    436  OE1 GLU A  55       4.452 -11.335  -6.583  1.00 92.12           O  \\nATOM    437  OE2 GLU A  55       3.528  -9.685  -7.706  1.00 92.12           O  \\nATOM    438  N   HIS A  56       6.397  -5.243  -8.914  1.00 90.70           N  \\nATOM    439  CA  HIS A  56       6.508  -4.295 -10.017  1.00 90.70           C  \\nATOM    440  C   HIS A  56       7.850  -3.571  -9.987  1.00 90.70           C  \\nATOM    441  CB  HIS A  56       5.364  -3.281  -9.970  1.00 90.70           C  \\nATOM    442  O   HIS A  56       8.444  -3.311 -11.036  1.00 90.70           O  \\nATOM    443  CG  HIS A  56       4.058  -3.828 -10.452  1.00 90.70           C  \\nATOM    444  CD2 HIS A  56       2.898  -4.069  -9.797  1.00 90.70           C  \\nATOM    445  ND1 HIS A  56       3.845  -4.199 -11.762  1.00 90.70           N  \\nATOM    446  CE1 HIS A  56       2.607  -4.645 -11.892  1.00 90.70           C  \\nATOM    447  NE2 HIS A  56       2.011  -4.577 -10.714  1.00 90.70           N  \\nATOM    448  N   ALA A  57       8.265  -3.246  -8.746  1.00 88.72           N  \\nATOM    449  CA  ALA A  57       9.567  -2.605  -8.582  1.00 88.72           C  \\nATOM    450  C   ALA A  57      10.691  -3.507  -9.083  1.00 88.72           C  \\nATOM    451  CB  ALA A  57       9.797  -2.236  -7.118  1.00 88.72           C  \\nATOM    452  O   ALA A  57      11.629  -3.039  -9.731  1.00 88.72           O  \\nATOM    453  N   ALA A  58      10.627  -4.757  -8.688  1.00 88.75           N  \\nATOM    454  CA  ALA A  58      11.618  -5.731  -9.138  1.00 88.75           C  \\nATOM    455  C   ALA A  58      11.610  -5.859 -10.659  1.00 88.75           C  \\nATOM    456  CB  ALA A  58      11.360  -7.090  -8.491  1.00 88.75           C  \\nATOM    457  O   ALA A  58      12.667  -5.973 -11.284  1.00 88.75           O  \\nATOM    458  N   GLN A  59      10.400  -5.868 -11.327  1.00 87.09           N  \\nATOM    459  CA  GLN A  59      10.244  -5.969 -12.774  1.00 87.09           C  \\nATOM    460  C   GLN A  59      10.818  -4.741 -13.476  1.00 87.09           C  \\nATOM    461  CB  GLN A  59       8.771  -6.145 -13.145  1.00 87.09           C  \\nATOM    462  O   GLN A  59      11.418  -4.856 -14.548  1.00 87.09           O  \\nATOM    463  CG  GLN A  59       8.213  -7.521 -12.811  1.00 87.09           C  \\nATOM    464  CD  GLN A  59       6.749  -7.667 -13.180  1.00 87.09           C  \\nATOM    465  NE2 GLN A  59       6.172  -8.824 -12.874  1.00 87.09           N  \\nATOM    466  OE1 GLN A  59       6.141  -6.746 -13.736  1.00 87.09           O  \\nATOM    467  N   ALA A  60      10.552  -3.636 -12.827  1.00 85.46           N  \\nATOM    468  CA  ALA A  60      11.109  -2.387 -13.341  1.00 85.46           C  \\nATOM    469  C   ALA A  60      12.634  -2.409 -13.300  1.00 85.46           C  \\nATOM    470  CB  ALA A  60      10.575  -1.199 -12.544  1.00 85.46           C  \\nATOM    471  O   ALA A  60      13.293  -1.964 -14.243  1.00 85.46           O  \\nATOM    472  N   ALA A  61      13.187  -2.888 -12.154  1.00 85.43           N  \\nATOM    473  CA  ALA A  61      14.634  -3.020 -12.004  1.00 85.43           C  \\nATOM    474  C   ALA A  61      15.210  -3.966 -13.053  1.00 85.43           C  \\nATOM    475  CB  ALA A  61      14.981  -3.511 -10.601  1.00 85.43           C  \\nATOM    476  O   ALA A  61      16.275  -3.704 -13.617  1.00 85.43           O  \\nATOM    477  N   LYS A  62      14.474  -5.152 -13.316  1.00 84.94           N  \\nATOM    478  CA  LYS A  62      14.899  -6.113 -14.329  1.00 84.94           C  \\nATOM    479  C   LYS A  62      14.874  -5.490 -15.722  1.00 84.94           C  \\nATOM    480  CB  LYS A  62      14.011  -7.357 -14.296  1.00 84.94           C  \\nATOM    481  O   LYS A  62      15.769  -5.735 -16.534  1.00 84.94           O  \\nATOM    482  CG  LYS A  62      14.276  -8.275 -13.111  1.00 84.94           C  \\nATOM    483  CD  LYS A  62      13.409  -9.526 -13.169  1.00 84.94           C  \\nATOM    484  CE  LYS A  62      13.649 -10.429 -11.967  1.00 84.94           C  \\nATOM    485  NZ  LYS A  62      12.793 -11.652 -12.012  1.00 84.94           N  \\nATOM    486  N   HIS A  63      13.782  -4.720 -15.989  1.00 82.64           N  \\nATOM    487  CA  HIS A  63      13.659  -4.050 -17.278  1.00 82.64           C  \\nATOM    488  C   HIS A  63      14.785  -3.043 -17.486  1.00 82.64           C  \\nATOM    489  CB  HIS A  63      12.302  -3.353 -17.392  1.00 82.64           C  \\nATOM    490  O   HIS A  63      15.344  -2.948 -18.581  1.00 82.64           O  \\nATOM    491  CG  HIS A  63      12.021  -2.805 -18.755  1.00 82.64           C  \\nATOM    492  CD2 HIS A  63      11.523  -3.398 -19.866  1.00 82.64           C  \\nATOM    493  ND1 HIS A  63      12.262  -1.491 -19.093  1.00 82.64           N  \\nATOM    494  CE1 HIS A  63      11.921  -1.298 -20.356  1.00 82.64           C  \\nATOM    495  NE2 HIS A  63      11.469  -2.440 -20.848  1.00 82.64           N  \\nATOM    496  N   ASP A  64      15.059  -2.278 -16.428  1.00 79.66           N  \\nATOM    497  CA  ASP A  64      16.133  -1.290 -16.455  1.00 79.66           C  \\nATOM    498  C   ASP A  64      17.489  -1.959 -16.674  1.00 79.66           C  \\nATOM    499  CB  ASP A  64      16.150  -0.480 -15.158  1.00 79.66           C  \\nATOM    500  O   ASP A  64      18.322  -1.452 -17.429  1.00 79.66           O  \\nATOM    501  CG  ASP A  64      17.126   0.683 -15.197  1.00 79.66           C  \\nATOM    502  OD1 ASP A  64      16.869   1.671 -15.918  1.00 79.66           O  \\nATOM    503  OD2 ASP A  64      18.163   0.609 -14.503  1.00 79.66           O  \\nATOM    504  N   ALA A  65      17.772  -3.080 -15.977  1.00 80.27           N  \\nATOM    505  CA  ALA A  65      19.002  -3.858 -16.096  1.00 80.27           C  \\nATOM    506  C   ALA A  65      19.135  -4.466 -17.489  1.00 80.27           C  \\nATOM    507  CB  ALA A  65      19.043  -4.955 -15.034  1.00 80.27           C  \\nATOM    508  O   ALA A  65      20.236  -4.537 -18.040  1.00 80.27           O  \\nATOM    509  N   GLU A  66      18.091  -4.964 -18.140  1.00 77.72           N  \\nATOM    510  CA  GLU A  66      18.068  -5.581 -19.462  1.00 77.72           C  \\nATOM    511  C   GLU A  66      18.221  -4.535 -20.562  1.00 77.72           C  \\nATOM    512  CB  GLU A  66      16.774  -6.373 -19.664  1.00 77.72           C  \\nATOM    513  O   GLU A  66      18.762  -4.824 -21.631  1.00 77.72           O  \\nATOM    514  CG  GLU A  66      16.708  -7.660 -18.856  1.00 77.72           C  \\nATOM    515  CD  GLU A  66      15.429  -8.450 -19.089  1.00 77.72           C  \\nATOM    516  OE1 GLU A  66      15.374  -9.641 -18.707  1.00 77.72           O  \\nATOM    517  OE2 GLU A  66      14.476  -7.873 -19.659  1.00 77.72           O  \\nATOM    518  N   HIS A  67      17.810  -3.284 -20.266  1.00 71.57           N  \\nATOM    519  CA  HIS A  67      17.824  -2.220 -21.264  1.00 71.57           C  \\nATOM    520  C   HIS A  67      19.062  -1.342 -21.115  1.00 71.57           C  \\nATOM    521  CB  HIS A  67      16.559  -1.367 -21.154  1.00 71.57           C  \\nATOM    522  O   HIS A  67      19.462  -0.662 -22.063  1.00 71.57           O  \\nATOM    523  CG  HIS A  67      15.332  -2.041 -21.682  1.00 71.57           C  \\nATOM    524  CD2 HIS A  67      14.385  -2.779 -21.056  1.00 71.57           C  \\nATOM    525  ND1 HIS A  67      14.972  -1.996 -23.011  1.00 71.57           N  \\nATOM    526  CE1 HIS A  67      13.852  -2.679 -23.180  1.00 71.57           C  \\nATOM    527  NE2 HIS A  67      13.475  -3.164 -22.010  1.00 71.57           N  \\nATOM    528  N   HIS A  68      19.738  -1.361 -19.951  1.00 64.99           N  \\nATOM    529  CA  HIS A  68      20.954  -0.595 -19.699  1.00 64.99           C  \\nATOM    530  C   HIS A  68      22.177  -1.504 -19.650  1.00 64.99           C  \\nATOM    531  CB  HIS A  68      20.830   0.190 -18.392  1.00 64.99           C  \\nATOM    532  O   HIS A  68      23.282  -1.049 -19.342  1.00 64.99           O  \\nATOM    533  CG  HIS A  68      19.894   1.354 -18.477  1.00 64.99           C  \\nATOM    534  CD2 HIS A  68      18.617   1.500 -18.051  1.00 64.99           C  \\nATOM    535  ND1 HIS A  68      20.246   2.550 -19.063  1.00 64.99           N  \\nATOM    536  CE1 HIS A  68      19.223   3.385 -18.993  1.00 64.99           C  \\nATOM    537  NE2 HIS A  68      18.222   2.773 -18.384  1.00 64.99           N  \\nATOM    538  N   ALA A  69      22.027  -2.908 -19.937  1.00 62.10           N  \\nATOM    539  CA  ALA A  69      23.210  -3.756 -20.066  1.00 62.10           C  \\nATOM    540  C   ALA A  69      23.945  -3.476 -21.373  1.00 62.10           C  \\nATOM    541  CB  ALA A  69      22.820  -5.229 -19.982  1.00 62.10           C  \\nATOM    542  O   ALA A  69      23.318  -3.303 -22.421  1.00 62.10           O  \\nATOM    543  N   PRO A  70      25.282  -2.812 -21.276  1.00 58.64           N  \\nATOM    544  CA  PRO A  70      26.087  -2.529 -22.467  1.00 58.64           C  \\nATOM    545  C   PRO A  70      26.147  -3.710 -23.433  1.00 58.64           C  \\nATOM    546  CB  PRO A  70      27.472  -2.223 -21.892  1.00 58.64           C  \\nATOM    547  O   PRO A  70      26.183  -4.865 -23.000  1.00 58.64           O  \\nATOM    548  CG  PRO A  70      27.441  -2.776 -20.504  1.00 58.64           C  \\nATOM    549  CD  PRO A  70      26.017  -3.099 -20.152  1.00 58.64           C  \\nATOM    550  N   LYS A  71      25.341  -3.775 -24.589  1.00 57.71           N  \\nATOM    551  CA  LYS A  71      25.653  -4.763 -25.617  1.00 57.71           C  \\nATOM    552  C   LYS A  71      27.149  -5.063 -25.656  1.00 57.71           C  \\nATOM    553  CB  LYS A  71      25.180  -4.280 -26.989  1.00 57.71           C  \\nATOM    554  O   LYS A  71      27.973  -4.149 -25.578  1.00 57.71           O  \\nATOM    555  CG  LYS A  71      23.695  -4.493 -27.243  1.00 57.71           C  \\nATOM    556  CD  LYS A  71      23.309  -4.101 -28.663  1.00 57.71           C  \\nATOM    557  CE  LYS A  71      21.813  -4.260 -28.900  1.00 57.71           C  \\nATOM    558  NZ  LYS A  71      21.397  -3.688 -30.216  1.00 57.71           N  \\nATOM    559  N   PRO A  72      27.637  -6.485 -25.281  1.00 57.58           N  \\nATOM    560  CA  PRO A  72      29.065  -6.706 -25.519  1.00 57.58           C  \\nATOM    561  C   PRO A  72      29.482  -6.385 -26.952  1.00 57.58           C  \\nATOM    562  CB  PRO A  72      29.246  -8.196 -25.218  1.00 57.58           C  \\nATOM    563  O   PRO A  72      28.746  -6.686 -27.895  1.00 57.58           O  \\nATOM    564  CG  PRO A  72      27.875  -8.779 -25.338  1.00 57.58           C  \\nATOM    565  CD  PRO A  72      26.906  -7.666 -25.616  1.00 57.58           C  \\nATOM    566  N   HIS A  73      30.142  -5.176 -27.311  1.00 48.76           N  \\nATOM    567  CA  HIS A  73      30.968  -5.002 -28.500  1.00 48.76           C  \\nATOM    568  C   HIS A  73      32.017  -6.103 -28.608  1.00 48.76           C  \\nATOM    569  CB  HIS A  73      31.646  -3.631 -28.485  1.00 48.76           C  \\nATOM    570  O   HIS A  73      32.601  -6.511 -27.602  1.00 48.76           O  \\nATOM    571  CG  HIS A  73      32.032  -3.137 -29.843  1.00 48.76           C  \\nATOM    572  CD2 HIS A  73      33.070  -2.369 -30.249  1.00 48.76           C  \\nATOM    573  ND1 HIS A  73      31.302  -3.429 -30.976  1.00 48.76           N  \\nATOM    574  CE1 HIS A  73      31.878  -2.860 -32.022  1.00 48.76           C  \\nATOM    575  NE2 HIS A  73      32.952  -2.210 -31.607  1.00 48.76           N  \\nTER     576      HIS A  73                                                      \\nENDMDL                                                                          \\nEND                                                                             \\n\",\"pdb\");\n",
              "\tviewer_1676284521176235.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n",
              "\tviewer_1676284521176235.zoomTo();\n",
              "viewer_1676284521176235.render();\n",
              "});\n",
              "</script>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 100x10 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "11l8k--10q0C",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 645
        },
        "outputId": "632a74fc-10d3-47b2-c71b-b4b8029999dd"
      },
      "source": [
        "#@title Gráficos {run: \"auto\"}\n",
        "from IPython.display import display, HTML\n",
        "import base64\n",
        "from html import escape\n",
        "\n",
        "# see: https://stackoverflow.com/a/53688522\n",
        "def image_to_data_url(filename):\n",
        "  ext = filename.split('.')[-1]\n",
        "  prefix = f'data:image/{ext};base64,'\n",
        "  with open(filename, 'rb') as f:\n",
        "    img = f.read()\n",
        "  return prefix + base64.b64encode(img).decode('utf-8')\n",
        "\n",
        "pae = image_to_data_url(os.path.join(jobname,f\"{jobname}{jobname_prefix}_pae.png\"))\n",
        "cov = image_to_data_url(os.path.join(jobname,f\"{jobname}{jobname_prefix}_coverage.png\"))\n",
        "plddt = image_to_data_url(os.path.join(jobname,f\"{jobname}{jobname_prefix}_plddt.png\"))\n",
        "display(HTML(f\"\"\"\n",
        "<style>\n",
        "  img {{\n",
        "    float:left;\n",
        "  }}\n",
        "  .full {{\n",
        "    max-width:100%;\n",
        "  }}\n",
        "  .half {{\n",
        "    max-width:50%;\n",
        "  }}\n",
        "  @media (max-width:640px) {{\n",
        "    .half {{\n",
        "      max-width:100%;\n",
        "    }}\n",
        "  }}\n",
        "</style>\n",
        "<div style=\"max-width:90%; padding:2em;\">\n",
        "  <h1>Plots for {escape(jobname)}</h1>\n",
        "  <img src=\"{pae}\" class=\"full\" />\n",
        "  <img src=\"{cov}\" class=\"half\" />\n",
        "  <img src=\"{plddt}\" class=\"half\" />\n",
        "</div>\n",
        "\"\"\"))\n"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.HTML object>"
            ],
            "text/html": [
              "\n",
              "<style>\n",
              "  img {\n",
              "    float:left;\n",
              "  }\n",
              "  .full {\n",
              "    max-width:100%;\n",
              "  }\n",
              "  .half {\n",
              "    max-width:50%;\n",
              "  }\n",
              "  @media (max-width:640px) {\n",
              "    .half {\n",
              "      max-width:100%;\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "<div style=\"max-width:90%; padding:2em;\">\n",
              "  <h1>Plots for test_d3585</h1>\n",
              "  <img src=\"data:image/png;base64,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class=\"half\" />\n",
              "</div>\n"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "33g5IIegij5R",
        "cellView": "form",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 17
        },
        "outputId": "6c9ee766-42da-4a10-c973-f6f83db17a6e"
      },
      "source": [
        "#@title Resultados de paquetes y descargas\n",
        "#@markdown Si tienes problemas para descargar el archivo de resultados, intenta desactivar tu adblocker y vuelve a ejecutar esta celda. Si eso falla, haga clic en el icono de la carpeta pequeña a la izquierda, navegue hasta el archivo: nombre_de_trabajo.resultado.zip, haga clic con el botón derecho y seleccione \"Descargar\" (ver [captura de pantalla](https://pbs.twimg.com/media/E6wRW2lWUAEOuoe?format=jpg&name=small)).\n",
        "\n",
        "if msa_mode == \"custom\":\n",
        "  print(\"Don't forget to cite your custom MSA generation method.\")\n",
        "\n",
        "files.download(f\"{jobname}.result.zip\")\n",
        "\n",
        "if save_to_google_drive == True and drive:\n",
        "  uploaded = drive.CreateFile({'title': f\"{jobname}.result.zip\"})\n",
        "  uploaded.SetContentFile(f\"{jobname}.result.zip\")\n",
        "  uploaded.Upload()\n",
        "  print(f\"Uploaded {jobname}.result.zip to Google Drive with ID {uploaded.get('id')}\")"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${filename}\": `;\n",
              "      div.appendChild(label);\n",
              "      const progress = document.createElement('progress');\n",
              "      progress.max = size;\n",
              "      div.appendChild(progress);\n",
              "      document.body.appendChild(div);\n",
              "\n",
              "      const buffers = [];\n",
              "      let downloaded = 0;\n",
              "\n",
              "      const channel = await google.colab.kernel.comms.open(id);\n",
              "      // Send a message to notify the kernel that we're ready.\n",
              "      channel.send({})\n",
              "\n",
              "      for await (const message of channel.messages) {\n",
              "        // Send a message to notify the kernel that we're ready.\n",
              "        channel.send({})\n",
              "        if (message.buffers) {\n",
              "          for (const buffer of message.buffers) {\n",
              "            buffers.push(buffer);\n",
              "            downloaded += buffer.byteLength;\n",
              "            progress.value = downloaded;\n",
              "          }\n",
              "        }\n",
              "      }\n",
              "      const blob = new Blob(buffers, {type: 'application/binary'});\n",
              "      const a = document.createElement('a');\n",
              "      a.href = window.URL.createObjectURL(blob);\n",
              "      a.download = filename;\n",
              "      div.appendChild(a);\n",
              "      a.click();\n",
              "      div.remove();\n",
              "    }\n",
              "  "
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ],
            "application/javascript": [
              "download(\"download_ff7734a0-d459-4c4e-944e-93251b95dbf1\", \"test_d3585.result.zip\", 418408)"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UGUBLzB3C6WN",
        "pycharm": {
          "name": "#%% md\n"
        }
      },
      "source": [
        "# Instrucciones <a name=\"Instructions\"></a>\n",
        "**Inicio rápido**\n",
        "1. Pegue su(s) secuencia(s) proteínica(s) en el campo de entrada.\n",
        "2. Pulse \"Tiempo de ejecución\" -> \"Ejecutar todo\".\n",
        "3. El pipeline consta de 5 pasos. El paso que se está ejecutando actualmente se indica mediante un círculo con una señal de stop al lado.\n",
        "\n",
        "**Contenido del archivo zip**\n",
        "\n",
        "1. Las estructuras formateadas en PDB están ordenadas por pLDDT medio y los complejos están ordenados por pTMscore. (no relajado y relajado si `use_amber` está activado).\n",
        "2. Gráficos de la calidad del modelo.\n",
        "3. Gráficos de la cobertura MSA.\n",
        "4. Archivo de registro de parámetros.\n",
        "5. MSA de entrada con formato A3M.\n",
        "6. Un `predicted_aligned_error_v1.json` usando el formato [AlphaFold-DB's format](https://alphafold.ebi.ac.uk/faq#faq-7) y un `scores.json` para cada modelo que contiene un array (lista de listas) para PAE, una lista con el pLDDT medio y el pTMscore.\n",
        "7. Archivo BibTeX con citas de todas las herramientas y bases de datos utilizadas.\n",
        "\n",
        "Al final del trabajo, aparecerá un cuadro modal de descarga con un archivo `jobname.result.zip`. Además, si se ha seleccionado la opción `save_to_google_drive`, el archivo `jobname.result.zip` se cargará en Google Drive.\n",
        "\n",
        "**Solución de problemas**\n",
        "* Compruebe que el tipo de runtime es GPU en \"Runtime\" -> \"Change runtime type\".\n",
        "* Intente reiniciar la sesión en \"Runtime\" -> \"Factory reset runtime\".\n",
        "* Comprueba la secuencia de entrada.\n",
        "\n",
        "**Problemas conocidos**\n",
        "* Google Colab asigna diferentes tipos de GPUs con diferentes cantidades de memoria. Algunas pueden no tener suficiente memoria para predecir la estructura de una secuencia larga.\n",
        "* Su navegador puede bloquear la ventana emergente para descargar el archivo de resultados. Puedes elegir la opción `save_to_google_drive` para subirlo a Google Drive en su lugar o descargar manualmente el archivo de resultados: Haga clic en el icono de la carpeta pequeña a la izquierda, navegue hasta el archivo: nombre_de_trabajo.resultado.zip, haz clic con el botón derecho y selecciona \"Descargar\" (ver [captura de pantalla](https://pbs.twimg.com/media/E6wRW2lWUAEOuoe?format=jpg&name=small)).\n",
        "\n",
        "**Limitaciones**\n",
        "* Recursos informáticos: Nuestra API MMseqs2 puede manejar ~20-50k peticiones al día.\n",
        "* MSAs: MMseqs2 es muy preciso y sensible pero puede encontrar menos resultados comparado con HHblits/HMMer buscado contra BFD o MGnify.\n",
        "* Recomendamos utilizar adicionalmente el [AlphaFold2 pipeline] completo (https://github.com/deepmind/alphafold).\n",
        "\n",
        "**Descripción de los gráficos**\n",
        "* **Número de secuencias por posición** - Queremos ver al menos 30 secuencias por posición, para un mejor rendimiento, idealmente 100 secuencias.\n",
        "* **LDDT prevista por posición** - confianza del modelo (sobre 100) en cada posición. Cuanto más alto, mejor.\n",
        "* **Error de alineación previsto** - Para homooligómeros, esta podría ser una métrica útil para evaluar la confianza del modelo en la interfaz. Cuanto más bajo, mejor.\n",
        "\n",
        "**Agradecimientos**\n",
        "- A [Felipe Zuñiga]([https://www.linkedin.com/in/dfzunigah), Andres Peralta y Sergio Guzman por este tutorial.\n",
        "\n",
        "- Agradecemos al equipo de AlphaFold el desarrollo de un modelo excelente y el software de código abierto. \n",
        "\n",
        "- KOBIC](https://kobic.re.kr) y [Söding Lab](https://www.mpinat.mpg.de/soeding) por proporcionar los recursos computacionales para el servidor MMseqs2 MSA.\n",
        "\n",
        "- Richard Evans por su ayuda en la evaluación comparativa del soporte Alphafold-multimer de ColabFold.\n",
        "\n",
        "- David Koes](https://github.com/dkoes) por su impresionante plugin [py3Dmol](https://3dmol.csb.pitt.edu/), ¡sin el cual estos cuadernos serían bastante aburridos!\n",
        "\n",
        "- Do-Yoon Kim por crear el logo de ColabFold.\n",
        "\n",
        "- Una colaboración de Sergey Ovchinnikov ([@sokrypton](https://twitter.com/sokrypton)), Milot Mirdita ([@milot_mirdita](https://twitter.com/milot_mirdita)) y Martin Steinegger ([@thesteinegger](https://twitter.com/thesteinegger)).\n",
        "\n",
        "**Licencia**\n",
        "\n",
        "El código fuente de ColabFold está licenciado bajo [MIT](https://raw.githubusercontent.com/sokrypton/ColabFold/main/LICENSE). Además, este cuaderno utiliza el código fuente de AlphaFold2 y sus parámetros bajo licencia [Apache 2.0](https://raw.githubusercontent.com/deepmind/alphafold/main/LICENSE) y [CC BY 4.0](https://creativecommons.org/licenses/by-sa/4.0/) respectivamente. Más información sobre la licencia de AlphaFold [aquí](https://github.com/deepmind/alphafold).\n",
        "\n",
        "##ColabFold v1.5.1: AlphaFold2 using MMseqs2\n",
        "\n",
        "Para más detalles, consulte <a href=\"#Instrucciones\">inferior</a> del cuaderno, eche un vistazo a [ColabFold GitHub](https://github.com/sokrypton/ColabFold) y lea nuestro manuscrito. \n",
        "\n",
        "[Mirdita M, Schütze K, Moriwaki Y, Heo L, Ovchinnikov S, Steinegger M. ColabFold: Making protein folding accessible to all.\n",
        "*Nature Methods*, 2022](https://www.nature.com/articles/s41592-022-01488-1) \n"
      ]
    }
  ]
}