AlphaFold2.ipynb

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      "metadata": {
        "id": "view-in-github",
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      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/pengfei50/juicer/blob/master/AlphaFold2.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "cell_type": "markdown",
      "metadata": {
        "id": "G4yBrceuFbf3"
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      "source": [
        "#ColabFold: AlphaFold2 w/ MMseqs2\n",
        "-----------------\n",
        "- <b><font color='green'>21Aug2021: The MSA/Templates issues should now be resolved! Please report any errors you see.</font></b>\n",
        "-----------------\n",
        "<img src=\"https://raw.githubusercontent.com/sokrypton/ColabFold/main/.github/ColabFold_Marv_Logo_Small.png\" height=\"256\" align=\"right\" style=\"height:256px\">\n",
        "\n",
        "Easy to use AlphaFold2 [(Jumper et al. 2021)](https://www.nature.com/articles/s41586-021-03819-2) protein structure prediction using multiple sequence alignments generated through an MMseqs2 API. For details, refer to our manuscript:\n",
        "\n",
        "[Mirdita M, Ovchinnikov S, Steinegger M. ColabFold - Making protein folding accessible to all.\n",
        "*bioRxiv*, 2021](https://www.biorxiv.org/content/10.1101/2021.08.15.456425v1) \n",
        "\n",
        "- This notebook provides basic functionality, for more advanced options (such as modeling heterocomplexes, increasing recycles, sampling, etc.) see our [advanced notebook](https://colab.research.google.com/github/sokrypton/ColabFold/blob/main/beta/AlphaFold2_advanced.ipynb).\n",
        "- This notebook replaces the homology detection of AlphaFold2 with MMseqs2. For a comparision against the [Deepmind Colab](https://colab.research.google.com/github/deepmind/alphafold/blob/main/notebooks/AlphaFold.ipynb) and the full [AlphaFold2](https://github.com/deepmind/alphafold) system read our [preprint](https://www.biorxiv.org/content/10.1101/2021.08.15.456425v1). \n",
        "\n",
        "\n",
        "<strong>For more details, see <a href=\"#Instructions\">bottom</a> of the notebook and checkout the [ColabFold GitHub](https://github.com/sokrypton/ColabFold). </strong>\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "kOblAo-xetgx",
        "cellView": "form"
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      "source": [
        "#@title Input protein sequence, then hit `Runtime` -> `Run all`\n",
        "from google.colab import files\n",
        "import os\n",
        "import os.path\n",
        "import re\n",
        "import hashlib\n",
        "\n",
        "def add_hash(x,y):\n",
        "  return x+\"_\"+hashlib.sha1(y.encode()).hexdigest()[:5]\n",
        "\n",
        "query_sequence = 'MARLKHTKNKAVGGSKSTKSPRKTLASRQGGGGSADGGEPRKRRRFRPGERALKEIRAYQRTTELLLRKLPFARLVKEVQETLTPAGKSYRWQAAALLALQEAAEAHLVSLFEDANLCALHAKRVTIMVRDFQLARRIRGQSRE' #@param {type:\"string\"}\n",
        "# remove whitespaces\n",
        "query_sequence = \"\".join(query_sequence.split())\n",
        "query_sequence = re.sub(r'[^a-zA-Z]','', query_sequence).upper()\n",
        "\n",
        "jobname = 'test' #@param {type:\"string\"}\n",
        "# remove whitespaces\n",
        "jobname = \"\".join(jobname.split())\n",
        "jobname = re.sub(r'\\W+', '', jobname)\n",
        "jobname = add_hash(jobname, query_sequence)\n",
        "\n",
        "\n",
        "with open(f\"{jobname}.fasta\", \"w\") as text_file:\n",
        "    text_file.write(\">1\\n%s\" % query_sequence)\n",
        "\n",
        "# number of models to use\n",
        "#@markdown ---\n",
        "#@markdown ### Advanced settings\n",
        "msa_mode = \"MMseqs2 (UniRef+Environmental)\" #@param [\"MMseqs2 (UniRef+Environmental)\", \"MMseqs2 (UniRef only)\",\"single_sequence\",\"custom\"]\n",
        "num_models = 5 #@param [1,2,3,4,5] {type:\"raw\"}\n",
        "use_msa = True if msa_mode.startswith(\"MMseqs2\") else False\n",
        "use_env = True if msa_mode == \"MMseqs2 (UniRef+Environmental)\" else False\n",
        "use_custom_msa = True if msa_mode == \"custom\" else False\n",
        "use_amber = False #@param {type:\"boolean\"}\n",
        "use_templates = False #@param {type:\"boolean\"}\n",
        "#@markdown ---\n",
        "#@markdown ### Experimental options\n",
        "homooligomer = 1 #@param [1,2,3,4,5,6,7,8] {type:\"raw\"}\n",
        "save_to_google_drive = False #@param {type:\"boolean\"}\n",
        "#@markdown ---\n",
        "#@markdown Don't forget to hit `Runtime` -> `Run all` after updating the form.\n",
        "\n",
        "\n",
        "if homooligomer > 1:\n",
        "  if use_amber:\n",
        "    print(\"amber disabled: amber is not currently supported for homooligomers\")\n",
        "    use_amber = False\n",
        "  if use_templates:\n",
        "    print(\"templates disabled: templates are not currently supported for homooligomers\")\n",
        "    use_templates = False\n",
        "\n",
        "with open(f\"{jobname}.log\", \"w\") as text_file:\n",
        "    text_file.write(\"num_models=%s\\n\" % num_models)\n",
        "    text_file.write(\"use_amber=%s\\n\" % use_amber)\n",
        "    text_file.write(\"use_msa=%s\\n\" % use_msa)\n",
        "    text_file.write(\"msa_mode=%s\\n\" % msa_mode)\n",
        "    text_file.write(\"use_templates=%s\\n\" % use_templates)\n",
        "    text_file.write(\"homooligomer=%s\\n\" % homooligomer)\n",
        "\n",
        "# decide which a3m to use\n",
        "if use_msa:\n",
        "  a3m_file = f\"{jobname}.a3m\"\n",
        "elif use_custom_msa:\n",
        "  a3m_file = 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 line.startswith(\"#\"):\n",
        "        continue\n",
        "      if line.rstrip() == False:\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",
        "    print(f\"moving {custom_msa} to {a3m_file}\")\n",
        "else:\n",
        "  a3m_file = f\"{jobname}.single_sequence.a3m\"\n",
        "  with open(a3m_file, \"w\") as text_file:\n",
        "    text_file.write(\">1\\n%s\" % query_sequence)\n",
        "\n",
        "if save_to_google_drive == True:\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!\")"
      ],
      "execution_count": 1,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "iccGdbe_Pmt9",
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      },
      "source": [
        "#@title Install dependencies\n",
        "%%bash -s $use_amber $use_msa $use_templates\n",
        "\n",
        "USE_AMBER=$1\n",
        "USE_MSA=$2\n",
        "USE_TEMPLATES=$3\n",
        "\n",
        "if [ ! -f AF2_READY ]; then\n",
        "  # install dependencies\n",
        "  pip -q install biopython dm-haiku ml-collections py3Dmol\n",
        "  wget -qnc https://raw.githubusercontent.com/sokrypton/ColabFold/main/beta/colabfold.py\n",
        "\n",
        "  # download model\n",
        "  if [ ! -d \"alphafold/\" ]; then\n",
        "    git clone https://github.com/deepmind/alphafold.git --quiet\n",
        "    (cd alphafold; git checkout 1d43aaff941c84dc56311076b58795797e49107b --quiet)\n",
        "    mv alphafold alphafold_\n",
        "    mv alphafold_/alphafold .\n",
        "    # remove \"END\" from PDBs, otherwise biopython complains\n",
        "    sed -i \"s/pdb_lines.append('END')//\" /content/alphafold/common/protein.py\n",
        "    sed -i \"s/pdb_lines.append('ENDMDL')//\" /content/alphafold/common/protein.py\n",
        "  fi\n",
        "\n",
        "  # download model params (~1 min)\n",
        "  if [ ! -d \"params/\" ]; then\n",
        "    mkdir params\n",
        "    curl -fsSL https://storage.googleapis.com/alphafold/alphafold_params_2021-07-14.tar \\\n",
        "    | tar x -C params\n",
        "  fi\n",
        "  touch AF2_READY\n",
        "fi\n",
        "# download libraries for interfacing with MMseqs2 API\n",
        "if [ ${USE_MSA} == \"True\" ] || [ ${USE_TEMPLATES} == \"True\" ]; then\n",
        "  if [ ! -f MMSEQ2_READY ]; then\n",
        "    apt-get -qq -y update 2>&1 1>/dev/null\n",
        "    apt-get -qq -y install jq curl zlib1g gawk 2>&1 1>/dev/null\n",
        "    touch MMSEQ2_READY\n",
        "  fi\n",
        "fi\n",
        "# setup conda\n",
        "if [ ${USE_AMBER} == \"True\" ] || [ ${USE_TEMPLATES} == \"True\" ]; then\n",
        "  if [ ! -f CONDA_READY ]; then\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",
        "  conda install -y -q -c conda-forge -c bioconda kalign3=3.2.2 hhsuite=3.3.0 python=3.7 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",
        "  conda install -y -q -c conda-forge openmm=7.5.1 python=3.7 pdbfixer 2>&1 1>/dev/null\n",
        "  (cd /usr/local/lib/python3.7/site-packages; patch -s -p0 < /content/alphafold_/docker/openmm.patch)\n",
        "  wget -qnc https://git.scicore.unibas.ch/schwede/openstructure/-/raw/7102c63615b64735c4941278d92b554ec94415f8/modules/mol/alg/src/stereo_chemical_props.txt\n",
        "  mv stereo_chemical_props.txt alphafold/common/\n",
        "  touch AMBER_READY\n",
        "fi"
      ],
      "execution_count": 2,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "cellView": "form",
        "id": "jFNCnjI9_DUG"
      },
      "source": [
        "#@title Import libraries\n",
        "# setup the model\n",
        "if \"model\" not in dir():\n",
        "\n",
        "  # hiding warning messages\n",
        "  import warnings\n",
        "  from absl import logging\n",
        "  import os\n",
        "  import tensorflow as tf\n",
        "  warnings.filterwarnings('ignore')\n",
        "  logging.set_verbosity(\"error\")\n",
        "  os.environ['TF_CPP_MIN_LOG_LEVEL'] = '3'\n",
        "  tf.get_logger().setLevel('ERROR')\n",
        "\n",
        "  import sys\n",
        "  import numpy as np\n",
        "  import pickle\n",
        "  from alphafold.common import protein\n",
        "  from alphafold.data import pipeline\n",
        "  from alphafold.data import templates\n",
        "  from alphafold.model import data\n",
        "  from alphafold.model import config\n",
        "  from alphafold.model import model\n",
        "  from alphafold.data.tools import hhsearch\n",
        "  import colabfold as cf\n",
        "\n",
        "  # plotting libraries\n",
        "  import py3Dmol\n",
        "  import matplotlib.pyplot as plt\n",
        "  import ipywidgets\n",
        "  from ipywidgets import interact, fixed, GridspecLayout, Output\n",
        "\n",
        "\n",
        "if use_amber and \"relax\" not in dir():\n",
        "  sys.path.insert(0, '/usr/local/lib/python3.7/site-packages/')\n",
        "  from alphafold.relax import relax\n",
        "\n",
        "def mk_mock_template(query_sequence):\n",
        "  # since alphafold's model requires a template input\n",
        "  # we create a blank example w/ zero input, confidence -1\n",
        "  ln = len(query_sequence)\n",
        "  output_templates_sequence = \"-\"*ln\n",
        "  output_confidence_scores = np.full(ln,-1)\n",
        "  templates_all_atom_positions = np.zeros((ln, templates.residue_constants.atom_type_num, 3))\n",
        "  templates_all_atom_masks = np.zeros((ln, templates.residue_constants.atom_type_num))\n",
        "  templates_aatype = templates.residue_constants.sequence_to_onehot(output_templates_sequence,\n",
        "                                                                    templates.residue_constants.HHBLITS_AA_TO_ID)\n",
        "  template_features = {'template_all_atom_positions': templates_all_atom_positions[None],\n",
        "                       'template_all_atom_masks': templates_all_atom_masks[None],\n",
        "                       'template_sequence': [f'none'.encode()],\n",
        "                       'template_aatype': np.array(templates_aatype)[None],\n",
        "                       'template_confidence_scores': output_confidence_scores[None],\n",
        "                       'template_domain_names': [f'none'.encode()],\n",
        "                       'template_release_date': [f'none'.encode()]}\n",
        "  return template_features\n",
        "\n",
        "def mk_template(a3m_lines, template_paths):\n",
        "  template_featurizer = templates.TemplateHitFeaturizer(\n",
        "      mmcif_dir=template_paths,\n",
        "      max_template_date=\"2100-01-01\",\n",
        "      max_hits=20,\n",
        "      kalign_binary_path=\"kalign\",\n",
        "      release_dates_path=None,\n",
        "      obsolete_pdbs_path=None)\n",
        "\n",
        "  hhsearch_pdb70_runner = hhsearch.HHSearch(binary_path=\"hhsearch\", databases=[f\"{template_paths}/pdb70\"])\n",
        "\n",
        "  hhsearch_result = hhsearch_pdb70_runner.query(a3m_lines)\n",
        "  hhsearch_hits = pipeline.parsers.parse_hhr(hhsearch_result)\n",
        "  templates_result = template_featurizer.get_templates(query_sequence=query_sequence,\n",
        "                                                       query_pdb_code=None,\n",
        "                                                       query_release_date=None,\n",
        "                                                       hits=hhsearch_hits)\n",
        "  return templates_result.features\n",
        "\n",
        "def set_bfactor(pdb_filename, bfac, idx_res, chains):\n",
        "  I = open(pdb_filename,\"r\").readlines()\n",
        "  O = open(pdb_filename,\"w\")\n",
        "  for line in I:\n",
        "    if line[0:6] == \"ATOM  \":\n",
        "      seq_id = int(line[22:26].strip()) - 1\n",
        "      seq_id = np.where(idx_res == seq_id)[0][0]\n",
        "      O.write(f\"{line[:21]}{chains[seq_id]}{line[22:60]}{bfac[seq_id]:6.2f}{line[66:]}\")\n",
        "  O.close()\n",
        "\n",
        "def predict_structure(prefix, feature_dict, Ls, model_params, use_model, do_relax=False, random_seed=0):  \n",
        "  \"\"\"Predicts structure using AlphaFold for the given sequence.\"\"\"\n",
        "\n",
        "  # Minkyung's code\n",
        "  # add big enough number to residue index to indicate chain breaks\n",
        "  idx_res = feature_dict['residue_index']\n",
        "  L_prev = 0\n",
        "  # Ls: number of residues in each chain\n",
        "  for L_i in Ls[:-1]:\n",
        "      idx_res[L_prev+L_i:] += 200\n",
        "      L_prev += L_i  \n",
        "  chains = list(\"\".join([ascii_uppercase[n]*L for n,L in enumerate(Ls)]))\n",
        "  feature_dict['residue_index'] = idx_res\n",
        "\n",
        "  # Run the models.\n",
        "  plddts,paes = [],[]\n",
        "  unrelaxed_pdb_lines = []\n",
        "  relaxed_pdb_lines = []\n",
        "\n",
        "  for model_name, params in model_params.items():\n",
        "    if model_name in use_model:\n",
        "      print(f\"running {model_name}\")\n",
        "      # swap params to avoid recompiling\n",
        "      # note: models 1,2 have diff number of params compared to models 3,4,5\n",
        "      if any(str(m) in model_name for m in [1,2]): model_runner = model_runner_1\n",
        "      if any(str(m) in model_name for m in [3,4,5]): model_runner = model_runner_3\n",
        "      model_runner.params = params\n",
        "      \n",
        "      processed_feature_dict = model_runner.process_features(feature_dict, random_seed=random_seed)\n",
        "      prediction_result = model_runner.predict(processed_feature_dict)\n",
        "      unrelaxed_protein = protein.from_prediction(processed_feature_dict,prediction_result)\n",
        "      unrelaxed_pdb_lines.append(protein.to_pdb(unrelaxed_protein))\n",
        "      plddts.append(prediction_result['plddt'])\n",
        "      paes.append(prediction_result['predicted_aligned_error'])\n",
        "\n",
        "      if do_relax:\n",
        "        # Relax the prediction.\n",
        "        amber_relaxer = relax.AmberRelaxation(max_iterations=0,tolerance=2.39,\n",
        "                                              stiffness=10.0,exclude_residues=[],\n",
        "                                              max_outer_iterations=20)      \n",
        "        relaxed_pdb_str, _, _ = amber_relaxer.process(prot=unrelaxed_protein)\n",
        "        relaxed_pdb_lines.append(relaxed_pdb_str)\n",
        "\n",
        "  # rerank models based on predicted lddt\n",
        "  lddt_rank = np.mean(plddts,-1).argsort()[::-1]\n",
        "  out = {}\n",
        "  print(\"reranking models based on avg. predicted lDDT\")\n",
        "  for n,r in enumerate(lddt_rank):\n",
        "    print(f\"model_{n+1} {np.mean(plddts[r])}\")\n",
        "\n",
        "    unrelaxed_pdb_path = f'{prefix}_unrelaxed_model_{n+1}.pdb'    \n",
        "    with open(unrelaxed_pdb_path, 'w') as f: f.write(unrelaxed_pdb_lines[r])\n",
        "    set_bfactor(unrelaxed_pdb_path, plddts[r], idx_res, chains)\n",
        "\n",
        "    if do_relax:\n",
        "      relaxed_pdb_path = f'{prefix}_relaxed_model_{n+1}.pdb'\n",
        "      with open(relaxed_pdb_path, 'w') as f: f.write(relaxed_pdb_lines[r])\n",
        "      set_bfactor(relaxed_pdb_path, plddts[r], idx_res, chains)\n",
        "\n",
        "    out[f\"model_{n+1}\"] = {\"plddt\":plddts[r], \"pae\":paes[r]}\n",
        "  return out"
      ],
      "execution_count": 3,
      "outputs": []
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "_sztQyz29DIC",
        "cellView": "form",
        "outputId": "bf881b7b-198a-4630-9413-a03ec2e1cf10",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 49,
          "referenced_widgets": [
            "f8ab77a7d88345ccb259e353ccfb834e",
            "8377545cdbf54a0bb85f519786ddff27",
            "79d7757ba7db475f9aa18b86c7754465",
            "79bfa8ee3fcc4ddd9ae753b5c38f8452",
            "916e1c47642a46269684e3b42407c87f",
            "8ace261e004d4cca88a638401143062a",
            "a70e5dd6607e4374bb497993a56a0131",
            "cd6c139861844917bfe12347ab7f6d8d",
            "e11013c2934f41a39694ae758595121c",
            "a12ecfb5a10f4930b74cb7811dc1a5e5",
            "f6cbb66dbca74d1b9b2fa938b9a5e70d"
          ]
        }
      },
      "source": [
        "#@title Call MMseqs2 to get MSA/templates\n",
        "if use_templates:\n",
        "  a3m_lines, template_paths = cf.run_mmseqs2(query_sequence, jobname, use_env, use_templates=True)\n",
        "  if template_paths is None:\n",
        "    template_features = mk_mock_template(query_sequence * homooligomer)\n",
        "  else:\n",
        "    template_features = mk_template(a3m_lines, template_paths)\n",
        "elif use_msa:\n",
        "  a3m_lines = cf.run_mmseqs2(query_sequence, jobname, use_env)\n",
        "  template_features = mk_mock_template(query_sequence * homooligomer)\n",
        "else:\n",
        "  template_features = mk_mock_template(query_sequence * homooligomer)\n",
        "\n",
        "if use_msa:\n",
        "  with open(a3m_file, \"w\") as text_file:\n",
        "    text_file.write(a3m_lines)\n",
        "else:\n",
        "  a3m_lines = \"\".join(open(a3m_file,\"r\").read())\n",
        "\n",
        "# parse MSA\n",
        "msa, deletion_matrix = pipeline.parsers.parse_a3m(a3m_lines)"
      ],
      "execution_count": 4,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/vnd.jupyter.widget-view+json": {
              "model_id": "f8ab77a7d88345ccb259e353ccfb834e",
              "version_minor": 0,
              "version_major": 2
            },
            "text/plain": [
              "  0%|          | 0/150 [elapsed: 00:00 remaining: ?]"
            ]
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "hUYApPElB30u",
        "cellView": "form",
        "outputId": "3ee31092-ac85-414a-e1cb-ee482ff5381a",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "source": [
        "#@title Gather input features, predict structure\n",
        "from string import ascii_uppercase\n",
        "\n",
        "# collect model weights\n",
        "use_model = {}\n",
        "if \"model_params\" not in dir(): model_params = {}\n",
        "for model_name in [\"model_1\",\"model_2\",\"model_3\",\"model_4\",\"model_5\"][:num_models]:\n",
        "  use_model[model_name] = True\n",
        "  if model_name not in model_params:\n",
        "    model_params[model_name] = data.get_model_haiku_params(model_name=model_name+\"_ptm\", data_dir=\".\")\n",
        "    if model_name == \"model_1\":\n",
        "      model_config = config.model_config(model_name+\"_ptm\")\n",
        "      model_config.data.eval.num_ensemble = 1\n",
        "      model_runner_1 = model.RunModel(model_config, model_params[model_name])\n",
        "    if model_name == \"model_3\":\n",
        "      model_config = config.model_config(model_name+\"_ptm\")\n",
        "      model_config.data.eval.num_ensemble = 1\n",
        "      model_runner_3 = model.RunModel(model_config, model_params[model_name])\n",
        "\n",
        "if homooligomer == 1:\n",
        "  msas = [msa]\n",
        "  deletion_matrices = [deletion_matrix]\n",
        "else:\n",
        "  # make multiple copies of msa for each copy\n",
        "  # AAA------\n",
        "  # ---AAA---\n",
        "  # ------AAA\n",
        "  #\n",
        "  # note: if you concat the sequences (as below), it does NOT work\n",
        "  # AAAAAAAAA\n",
        "  msas = []\n",
        "  deletion_matrices = []\n",
        "  Ln = len(query_sequence)\n",
        "  for o in range(homooligomer):\n",
        "    L = Ln * o\n",
        "    R = Ln * (homooligomer-(o+1))\n",
        "    msas.append([\"-\"*L+seq+\"-\"*R for seq in msa])\n",
        "    deletion_matrices.append([[0]*L+mtx+[0]*R for mtx in deletion_matrix])\n",
        "\n",
        "# gather features\n",
        "feature_dict = {\n",
        "    **pipeline.make_sequence_features(sequence=query_sequence*homooligomer,\n",
        "                                      description=\"none\",\n",
        "                                      num_res=len(query_sequence)*homooligomer),\n",
        "    **pipeline.make_msa_features(msas=msas,deletion_matrices=deletion_matrices),\n",
        "    **template_features\n",
        "}\n",
        "outs = predict_structure(jobname, feature_dict,\n",
        "                         Ls=[len(query_sequence)]*homooligomer,\n",
        "                         model_params=model_params, use_model=use_model,\n",
        "                         do_relax=use_amber)"
      ],
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "running model_1\n",
            "running model_2\n",
            "running model_3\n",
            "running model_4\n",
            "running model_5\n",
            "reranking models based on avg. predicted lDDT\n",
            "model_1 78.33401739476332\n",
            "model_2 78.08558764429773\n",
            "model_3 78.05261698307757\n",
            "model_4 77.50513033448426\n",
            "model_5 77.17527621531119\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "cellView": "form",
        "id": "KK7X9T44pWb7",
        "outputId": "d99910e0-68a4-4873-8bc2-ed8858b2aedb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 854
        }
      },
      "source": [
        "#@title Display 3D structure {run: \"auto\"}\n",
        "model_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",
        "def plot_plddt_legend():\n",
        "  thresh = ['plDDT:','Very low (<50)','Low (60)','OK (70)','Confident (80)','Very high (>90)']\n",
        "  plt.figure(figsize=(1,0.1),dpi=100)\n",
        "  ########################################\n",
        "  for c in [\"#FFFFFF\",\"#FF0000\",\"#FFFF00\",\"#00FF00\",\"#00FFFF\",\"#0000FF\"]:\n",
        "    plt.bar(0, 0, color=c)\n",
        "  plt.legend(thresh, frameon=False,\n",
        "             loc='center', ncol=6,\n",
        "             handletextpad=1,\n",
        "             columnspacing=1,\n",
        "             markerscale=0.5,)\n",
        "  plt.axis(False)\n",
        "  return plt\n",
        "\n",
        "def plot_confidence(model_num=1):\n",
        "  model_name = f\"model_{model_num}\"\n",
        "  plt.figure(figsize=(10,3),dpi=100)\n",
        "  \"\"\"Plots the legend for plDDT.\"\"\"\n",
        "  #########################################\n",
        "  plt.subplot(1,2,1); plt.title('Predicted lDDT')\n",
        "  plt.plot(outs[model_name][\"plddt\"])\n",
        "  for n in range(homooligomer+1):\n",
        "    x = n*(len(query_sequence))\n",
        "    plt.plot([x,x],[0,100],color=\"black\")\n",
        "  plt.ylabel('plDDT')\n",
        "  plt.xlabel('position')\n",
        "  #########################################\n",
        "  plt.subplot(1,2,2);plt.title('Predicted Aligned Error')\n",
        "  plt.imshow(outs[model_name][\"pae\"], cmap=\"bwr\",vmin=0,vmax=30)\n",
        "  plt.colorbar()\n",
        "  plt.xlabel('Scored residue')\n",
        "  plt.ylabel('Aligned residue')\n",
        "  #########################################\n",
        "  return plt\n",
        "\n",
        "def show_pdb(model_num=1, show_sidechains=False, show_mainchains=False, color=\"lDDT\"):\n",
        "  model_name = f\"model_{model_num}\"\n",
        "  if use_amber:\n",
        "    pdb_filename = f\"{jobname}_relaxed_{model_name}.pdb\"\n",
        "  else:\n",
        "    pdb_filename = f\"{jobname}_unrelaxed_{model_name}.pdb\"\n",
        "\n",
        "  view = py3Dmol.view(js='https://3dmol.org/build/3Dmol.js',)\n",
        "  view.addModel(open(pdb_filename,'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",
        "    for n,chain,color in zip(range(homooligomer),list(\"ABCDEFGH\"),\n",
        "                     [\"lime\",\"cyan\",\"magenta\",\"yellow\",\"salmon\",\"white\",\"blue\",\"orange\"]):\n",
        "       view.setStyle({'chain':chain},{'cartoon': {'color':color}})\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(model_num,show_sidechains, show_mainchains, color).show()\n",
        "if color == \"lDDT\": plot_plddt_legend().show()  \n",
        "plot_confidence(model_num).show()"
      ],
      "execution_count": 7,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "application/3dmoljs_load.v0": "<div id=\"3dmolviewer_1633513527331648\"  style=\"position: relative; width: 640px; height: 480px\">\n        <p id=\"3dmolwarning_1633513527331648\" 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    var tag = document.createElement('script');\n    tag.src = uri;\n    tag.async = true;\n    tag.onload = () => {\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_1633513527331648 = null;\nvar warn = document.getElementById(\"3dmolwarning_1633513527331648\");\nif(warn) {\n    warn.parentNode.removeChild(warn);\n}\n$3Dmolpromise.then(function() {\nviewer_1633513527331648 = $3Dmol.createViewer($(\"#3dmolviewer_1633513527331648\"),{backgroundColor:\"white\"});\nviewer_1633513527331648.zoomTo();\n\tviewer_1633513527331648.addModel(\"ATOM      1  N   MET A   1      20.571 -43.392 -11.539  1.00 39.91           N  \\nATOM      2  CA  MET A   1      20.969 -44.720 -11.997  1.00 39.91           C  \\nATOM      3  C   MET A   1      19.973 -45.778 -11.531  1.00 39.91           C  \\nATOM      4  CB  MET A   1      22.372 -45.065 -11.495  1.00 39.91           C  \\nATOM      5  O   MET A   1      19.764 -45.952 -10.330  1.00 39.91           O  \\nATOM      6  CG  MET A   1      23.485 -44.355 -12.249  1.00 39.91           C  \\nATOM      7  SD  MET A   1      24.693 -45.524 -12.984  1.00 39.91           S  \\nATOM      8  CE  MET A   1      25.938 -44.355 -13.596  1.00 39.91           C  \\nATOM      9  N   ALA A   2      18.845 -45.857 -12.260  1.00 40.33           N  \\nATOM     10  CA  ALA A   2      18.234 -46.654 -13.321  1.00 40.33           C  \\nATOM     11  C   ALA A   2      16.772 -46.954 -13.007  1.00 40.33           C  \\nATOM     12  CB  ALA A   2      19.010 -47.953 -13.524  1.00 40.33           C  \\nATOM     13  O   ALA A   2      16.469 -47.649 -12.035  1.00 40.33           O  \\nATOM     14  N   ARG A   3      15.724 -46.154 -13.565  1.00 36.48           N  \\nATOM     15  CA  ARG A   3      14.785 -45.992 -14.670  1.00 36.48           C  \\nATOM     16  C   ARG A   3      14.140 -47.323 -15.040  1.00 36.48           C  \\nATOM     17  CB  ARG A   3      15.487 -45.393 -15.890  1.00 36.48           C  \\nATOM     18  O   ARG A   3      14.838 -48.306 -15.300  1.00 36.48           O  \\nATOM     19  CG  ARG A   3      14.673 -44.329 -16.609  1.00 36.48           C  \\nATOM     20  CD  ARG A   3      15.450 -43.707 -17.761  1.00 36.48           C  \\nATOM     21  NE  ARG A   3      14.630 -42.764 -18.517  1.00 36.48           N  \\nATOM     22  NH1 ARG A   3      16.413 -41.744 -19.576  1.00 36.48           N  \\nATOM     23  NH2 ARG A   3      14.271 -41.046 -19.998  1.00 36.48           N  \\nATOM     24  CZ  ARG A   3      15.106 -41.854 -19.362  1.00 36.48           C  \\nATOM     25  N   LEU A   4      12.748 -47.352 -15.023  1.00 44.50           N  \\nATOM     26  CA  LEU A   4      11.632 -47.156 -15.941  1.00 44.50           C  \\nATOM     27  C   LEU A   4      10.897 -48.468 -16.192  1.00 44.50           C  \\nATOM     28  CB  LEU A   4      12.126 -46.573 -17.268  1.00 44.50           C  \\nATOM     29  O   LEU A   4      11.523 -49.490 -16.483  1.00 44.50           O  \\nATOM     30  CG  LEU A   4      12.099 -45.049 -17.391  1.00 44.50           C  \\nATOM     31  CD1 LEU A   4      13.476 -44.525 -17.785  1.00 44.50           C  \\nATOM     32  CD2 LEU A   4      11.045 -44.612 -18.403  1.00 44.50           C  \\nATOM     33  N   LYS A   5       9.623 -48.466 -16.029  1.00 44.98           N  \\nATOM     34  CA  LYS A   5       8.547 -48.174 -16.972  1.00 44.98           C  \\nATOM     35  C   LYS A   5       7.557 -49.333 -17.051  1.00 44.98           C  \\nATOM     36  CB  LYS A   5       9.116 -47.875 -18.360  1.00 44.98           C  \\nATOM     37  O   LYS A   5       7.957 -50.491 -17.186  1.00 44.98           O  \\nATOM     38  CG  LYS A   5       9.259 -46.391 -18.664  1.00 44.98           C  \\nATOM     39  CD  LYS A   5       9.580 -46.149 -20.133  1.00 44.98           C  \\nATOM     40  CE  LYS A   5       9.795 -44.670 -20.423  1.00 44.98           C  \\nATOM     41  NZ  LYS A   5      10.096 -44.427 -21.865  1.00 44.98           N  \\nATOM     42  N   HIS A   6       6.329 -49.050 -16.784  1.00 46.27           N  \\nATOM     43  CA  HIS A   6       5.327 -49.145 -17.841  1.00 46.27           C  \\nATOM     44  C   HIS A   6       3.917 -49.007 -17.277  1.00 46.27           C  \\nATOM     45  CB  HIS A   6       5.465 -50.471 -18.592  1.00 46.27           C  \\nATOM     46  O   HIS A   6       3.542 -49.727 -16.349  1.00 46.27           O  \\nATOM     47  CG  HIS A   6       6.363 -50.394 -19.786  1.00 46.27           C  \\nATOM     48  CD2 HIS A   6       7.225 -51.296 -20.310  1.00 46.27           C  \\nATOM     49  ND1 HIS A   6       6.438 -49.276 -20.588  1.00 46.27           N  \\nATOM     50  CE1 HIS A   6       7.310 -49.496 -21.558  1.00 46.27           C  \\nATOM     51  NE2 HIS A   6       7.801 -50.715 -21.412  1.00 46.27           N  \\nATOM     52  N   THR A   7       3.212 -47.851 -17.578  1.00 38.70           N  \\nATOM     53  CA  THR A   7       2.194 -47.183 -18.382  1.00 38.70           C  \\nATOM     54  C   THR A   7       0.862 -47.924 -18.291  1.00 38.70           C  \\nATOM     55  CB  THR A   7       2.626 -47.077 -19.856  1.00 38.70           C  \\nATOM     56  O   THR A   7       0.830 -49.156 -18.281  1.00 38.70           O  \\nATOM     57  CG2 THR A   7       3.993 -46.413 -19.982  1.00 38.70           C  \\nATOM     58  OG1 THR A   7       2.691 -48.391 -20.424  1.00 38.70           O  \\nATOM     59  N   LYS A   8      -0.253 -47.183 -17.998  1.00 36.67           N  \\nATOM     60  CA  LYS A   8      -1.268 -46.443 -18.741  1.00 36.67           C  \\nATOM     61  C   LYS A   8      -2.637 -47.104 -18.610  1.00 36.67           C  \\nATOM     62  CB  LYS A   8      -0.879 -46.332 -20.216  1.00 36.67           C  \\nATOM     63  O   LYS A   8      -2.780 -48.303 -18.861  1.00 36.67           O  \\nATOM     64  CG  LYS A   8       0.155 -45.254 -20.504  1.00 36.67           C  \\nATOM     65  CD  LYS A   8       0.350 -45.052 -22.001  1.00 36.67           C  \\nATOM     66  CE  LYS A   8       1.394 -43.982 -22.291  1.00 36.67           C  \\nATOM     67  NZ  LYS A   8       1.653 -43.842 -23.755  1.00 36.67           N  \\nATOM     68  N   ASN A   9      -3.605 -46.371 -18.050  1.00 39.33           N  \\nATOM     69  CA  ASN A   9      -4.766 -45.556 -18.390  1.00 39.33           C  \\nATOM     70  C   ASN A   9      -5.886 -46.399 -18.993  1.00 39.33           C  \\nATOM     71  CB  ASN A   9      -4.371 -44.433 -19.352  1.00 39.33           C  \\nATOM     72  O   ASN A   9      -5.657 -47.165 -19.930  1.00 39.33           O  \\nATOM     73  CG  ASN A   9      -3.897 -43.187 -18.631  1.00 39.33           C  \\nATOM     74  ND2 ASN A   9      -3.427 -42.205 -19.391  1.00 39.33           N  \\nATOM     75  OD1 ASN A   9      -3.952 -43.107 -17.401  1.00 39.33           O  \\nATOM     76  N   LYS A  10      -7.025 -46.407 -18.369  1.00 35.71           N  \\nATOM     77  CA  LYS A  10      -8.392 -45.895 -18.359  1.00 35.71           C  \\nATOM     78  C   LYS A  10      -9.260 -46.624 -19.380  1.00 35.71           C  \\nATOM     79  CB  LYS A  10      -8.404 -44.391 -18.641  1.00 35.71           C  \\nATOM     80  O   LYS A  10      -8.857 -46.803 -20.531  1.00 35.71           O  \\nATOM     81  CG  LYS A  10      -9.057 -43.562 -17.545  1.00 35.71           C  \\nATOM     82  CD  LYS A  10      -9.049 -42.077 -17.888  1.00 35.71           C  \\nATOM     83  CE  LYS A  10      -9.708 -41.247 -16.795  1.00 35.71           C  \\nATOM     84  NZ  LYS A  10      -9.534 -39.782 -17.032  1.00 35.71           N  \\nATOM     85  N   ALA A  11     -10.381 -47.221 -18.875  1.00 36.40           N  \\nATOM     86  CA  ALA A  11     -11.602 -46.912 -19.614  1.00 36.40           C  \\nATOM     87  C   ALA A  11     -12.711 -47.905 -19.281  1.00 36.40           C  \\nATOM     88  CB  ALA A  11     -11.328 -46.909 -21.116  1.00 36.40           C  \\nATOM     89  O   ALA A  11     -12.458 -49.103 -19.135  1.00 36.40           O  \\nATOM     90  N   VAL A  12     -13.878 -47.454 -18.851  1.00 33.92           N  \\nATOM     91  CA  VAL A  12     -14.881 -48.464 -19.171  1.00 33.92           C  \\nATOM     92  C   VAL A  12     -16.017 -47.828 -19.970  1.00 33.92           C  \\nATOM     93  CB  VAL A  12     -15.437 -49.136 -17.896  1.00 33.92           C  \\nATOM     94  O   VAL A  12     -16.560 -46.794 -19.575  1.00 33.92           O  \\nATOM     95  CG1 VAL A  12     -16.671 -49.976 -18.223  1.00 33.92           C  \\nATOM     96  CG2 VAL A  12     -14.362 -49.996 -17.235  1.00 33.92           C  \\nATOM     97  N   GLY A  13     -16.259 -48.129 -21.243  1.00 40.58           N  \\nATOM     98  CA  GLY A  13     -17.003 -48.738 -22.334  1.00 40.58           C  \\nATOM     99  C   GLY A  13     -18.266 -49.442 -21.876  1.00 40.58           C  \\nATOM    100  O   GLY A  13     -18.291 -50.047 -20.802  1.00 40.58           O  \\nATOM    101  N   GLY A  14     -19.500 -49.191 -22.372  1.00 33.98           N  \\nATOM    102  CA  GLY A  14     -20.706 -49.929 -22.712  1.00 33.98           C  \\nATOM    103  C   GLY A  14     -20.480 -50.982 -23.780  1.00 33.98           C  \\nATOM    104  O   GLY A  14     -19.820 -50.720 -24.788  1.00 33.98           O  \\nATOM    105  N   SER A  15     -20.587 -52.286 -23.405  1.00 35.00           N  \\nATOM    106  CA  SER A  15     -21.757 -53.157 -23.386  1.00 35.00           C  \\nATOM    107  C   SER A  15     -21.378 -54.599 -23.708  1.00 35.00           C  \\nATOM    108  CB  SER A  15     -22.809 -52.663 -24.381  1.00 35.00           C  \\nATOM    109  O   SER A  15     -20.642 -54.854 -24.664  1.00 35.00           O  \\nATOM    110  OG  SER A  15     -23.357 -53.746 -25.113  1.00 35.00           O  \\nATOM    111  N   LYS A  16     -21.656 -55.601 -22.794  1.00 35.92           N  \\nATOM    112  CA  LYS A  16     -22.723 -56.587 -22.654  1.00 35.92           C  \\nATOM    113  C   LYS A  16     -22.154 -57.984 -22.423  1.00 35.92           C  \\nATOM    114  CB  LYS A  16     -23.621 -56.586 -23.893  1.00 35.92           C  \\nATOM    115  O   LYS A  16     -21.315 -58.454 -23.195  1.00 35.92           O  \\nATOM    116  CG  LYS A  16     -24.729 -55.544 -23.852  1.00 35.92           C  \\nATOM    117  CD  LYS A  16     -25.738 -55.757 -24.974  1.00 35.92           C  \\nATOM    118  CE  LYS A  16     -26.805 -54.672 -24.981  1.00 35.92           C  \\nATOM    119  NZ  LYS A  16     -27.710 -54.792 -26.163  1.00 35.92           N  \\nATOM    120  N   SER A  17     -22.329 -58.659 -21.217  1.00 36.19           N  \\nATOM    121  CA  SER A  17     -23.164 -59.679 -20.592  1.00 36.19           C  \\nATOM    122  C   SER A  17     -22.437 -61.018 -20.516  1.00 36.19           C  \\nATOM    123  CB  SER A  17     -24.475 -59.844 -21.362  1.00 36.19           C  \\nATOM    124  O   SER A  17     -21.798 -61.439 -21.482  1.00 36.19           O  \\nATOM    125  OG  SER A  17     -24.367 -60.882 -22.322  1.00 36.19           O  \\nATOM    126  N   THR A  18     -22.153 -61.630 -19.281  1.00 42.22           N  \\nATOM    127  CA  THR A  18     -22.699 -62.895 -18.802  1.00 42.22           C  \\nATOM    128  C   THR A  18     -21.733 -63.568 -17.832  1.00 42.22           C  \\nATOM    129  CB  THR A  18     -23.007 -63.849 -19.970  1.00 42.22           C  \\nATOM    130  O   THR A  18     -20.532 -63.649 -18.100  1.00 42.22           O  \\nATOM    131  CG2 THR A  18     -24.279 -63.433 -20.701  1.00 42.22           C  \\nATOM    132  OG1 THR A  18     -21.911 -63.833 -20.894  1.00 42.22           O  \\nATOM    133  N   LYS A  19     -21.953 -63.600 -16.463  1.00 40.28           N  \\nATOM    134  CA  LYS A  19     -22.321 -64.727 -15.611  1.00 40.28           C  \\nATOM    135  C   LYS A  19     -21.194 -65.075 -14.643  1.00 40.28           C  \\nATOM    136  CB  LYS A  19     -22.676 -65.948 -16.461  1.00 40.28           C  \\nATOM    137  O   LYS A  19     -20.111 -65.486 -15.064  1.00 40.28           O  \\nATOM    138  CG  LYS A  19     -24.141 -66.013 -16.869  1.00 40.28           C  \\nATOM    139  CD  LYS A  19     -24.447 -67.284 -17.652  1.00 40.28           C  \\nATOM    140  CE  LYS A  19     -25.901 -67.327 -18.102  1.00 40.28           C  \\nATOM    141  NZ  LYS A  19     -26.182 -68.521 -18.955  1.00 40.28           N  \\nATOM    142  N   SER A  20     -21.126 -64.642 -13.424  1.00 40.68           N  \\nATOM    143  CA  SER A  20     -20.847 -64.857 -12.008  1.00 40.68           C  \\nATOM    144  C   SER A  20     -20.054 -66.141 -11.790  1.00 40.68           C  \\nATOM    145  CB  SER A  20     -22.149 -64.910 -11.207  1.00 40.68           C  \\nATOM    146  O   SER A  20     -20.260 -67.132 -12.495  1.00 40.68           O  \\nATOM    147  OG  SER A  20     -22.682 -63.609 -11.028  1.00 40.68           O  \\nATOM    148  N   PRO A  21     -19.360 -66.404 -10.457  1.00 44.28           N  \\nATOM    149  CA  PRO A  21     -19.390 -66.097  -9.025  1.00 44.28           C  \\nATOM    150  C   PRO A  21     -18.113 -66.524  -8.304  1.00 44.28           C  \\nATOM    151  CB  PRO A  21     -20.595 -66.894  -8.518  1.00 44.28           C  \\nATOM    152  O   PRO A  21     -17.374 -67.377  -8.802  1.00 44.28           O  \\nATOM    153  CG  PRO A  21     -20.610 -68.135  -9.351  1.00 44.28           C  \\nATOM    154  CD  PRO A  21     -19.550 -68.014 -10.407  1.00 44.28           C  \\nATOM    155  N   ARG A  22     -17.569 -65.734  -7.394  1.00 40.60           N  \\nATOM    156  CA  ARG A  22     -17.556 -65.846  -5.939  1.00 40.60           C  \\nATOM    157  C   ARG A  22     -16.181 -66.270  -5.435  1.00 40.60           C  \\nATOM    158  CB  ARG A  22     -18.617 -66.841  -5.466  1.00 40.60           C  \\nATOM    159  O   ARG A  22     -15.642 -67.291  -5.869  1.00 40.60           O  \\nATOM    160  CG  ARG A  22     -19.011 -66.675  -4.007  1.00 40.60           C  \\nATOM    161  CD  ARG A  22     -20.191 -67.562  -3.637  1.00 40.60           C  \\nATOM    162  NE  ARG A  22     -20.527 -67.449  -2.221  1.00 40.60           N  \\nATOM    163  NH1 ARG A  22     -22.402 -68.794  -2.346  1.00 40.60           N  \\nATOM    164  NH2 ARG A  22     -21.782 -67.867  -0.343  1.00 40.60           N  \\nATOM    165  CZ  ARG A  22     -21.570 -68.037  -1.640  1.00 40.60           C  \\nATOM    166  N   LYS A  23     -15.460 -65.423  -4.631  1.00 48.28           N  \\nATOM    167  CA  LYS A  23     -15.257 -65.453  -3.186  1.00 48.28           C  \\nATOM    168  C   LYS A  23     -13.771 -65.462  -2.839  1.00 48.28           C  \\nATOM    169  CB  LYS A  23     -15.946 -66.673  -2.572  1.00 48.28           C  \\nATOM    170  O   LYS A  23     -13.020 -66.308  -3.328  1.00 48.28           O  \\nATOM    171  CG  LYS A  23     -17.251 -66.352  -1.857  1.00 48.28           C  \\nATOM    172  CD  LYS A  23     -17.830 -67.584  -1.173  1.00 48.28           C  \\nATOM    173  CE  LYS A  23     -19.218 -67.310  -0.610  1.00 48.28           C  \\nATOM    174  NZ  LYS A  23     -19.769 -68.498   0.108  1.00 48.28           N  \\nATOM    175  N   THR A  24     -13.237 -64.418  -2.121  1.00 45.47           N  \\nATOM    176  CA  THR A  24     -13.074 -64.213  -0.686  1.00 45.47           C  \\nATOM    177  C   THR A  24     -11.618 -63.911  -0.345  1.00 45.47           C  \\nATOM    178  CB  THR A  24     -13.546 -65.444   0.111  1.00 45.47           C  \\nATOM    179  O   THR A  24     -10.706 -64.553  -0.869  1.00 45.47           O  \\nATOM    180  CG2 THR A  24     -15.045 -65.667  -0.059  1.00 45.47           C  \\nATOM    181  OG1 THR A  24     -12.846 -66.604  -0.355  1.00 45.47           O  \\nATOM    182  N   LEU A  25     -11.325 -62.700   0.310  1.00 45.62           N  \\nATOM    183  CA  LEU A  25     -11.181 -62.372   1.724  1.00 45.62           C  \\nATOM    184  C   LEU A  25      -9.830 -61.718   1.996  1.00 45.62           C  \\nATOM    185  CB  LEU A  25     -11.335 -63.630   2.584  1.00 45.62           C  \\nATOM    186  O   LEU A  25      -8.786 -62.273   1.647  1.00 45.62           O  \\nATOM    187  CG  LEU A  25     -12.758 -63.985   3.016  1.00 45.62           C  \\nATOM    188  CD1 LEU A  25     -13.135 -65.373   2.508  1.00 45.62           C  \\nATOM    189  CD2 LEU A  25     -12.890 -63.912   4.534  1.00 45.62           C  \\nATOM    190  N   ALA A  26      -9.811 -60.347   2.325  1.00 48.01           N  \\nATOM    191  CA  ALA A  26      -9.442 -59.888   3.661  1.00 48.01           C  \\nATOM    192  C   ALA A  26      -9.059 -58.411   3.648  1.00 48.01           C  \\nATOM    193  CB  ALA A  26      -8.291 -60.727   4.213  1.00 48.01           C  \\nATOM    194  O   ALA A  26      -8.173 -58.000   2.896  1.00 48.01           O  \\nATOM    195  N   SER A  27      -9.881 -57.439   4.199  1.00 49.36           N  \\nATOM    196  CA  SER A  27     -10.333 -56.694   5.369  1.00 49.36           C  \\nATOM    197  C   SER A  27      -9.219 -55.819   5.932  1.00 49.36           C  \\nATOM    198  CB  SER A  27     -10.839 -57.650   6.451  1.00 49.36           C  \\nATOM    199  O   SER A  27      -8.120 -56.305   6.208  1.00 49.36           O  \\nATOM    200  OG  SER A  27      -9.775 -58.067   7.290  1.00 49.36           O  \\nATOM    201  N   ARG A  28      -9.380 -54.432   5.825  1.00 49.16           N  \\nATOM    202  CA  ARG A  28      -9.371 -53.575   7.006  1.00 49.16           C  \\nATOM    203  C   ARG A  28     -10.205 -52.319   6.777  1.00 49.16           C  \\nATOM    204  CB  ARG A  28      -7.938 -53.190   7.381  1.00 49.16           C  \\nATOM    205  O   ARG A  28      -9.937 -51.549   5.853  1.00 49.16           O  \\nATOM    206  CG  ARG A  28      -7.321 -54.081   8.448  1.00 49.16           C  \\nATOM    207  CD  ARG A  28      -5.893 -53.664   8.774  1.00 49.16           C  \\nATOM    208  NE  ARG A  28      -5.651 -53.652  10.214  1.00 49.16           N  \\nATOM    209  NH1 ARG A  28      -3.362 -53.397  10.035  1.00 49.16           N  \\nATOM    210  NH2 ARG A  28      -4.347 -53.528  12.101  1.00 49.16           N  \\nATOM    211  CZ  ARG A  28      -4.454 -53.526  10.780  1.00 49.16           C  \\nATOM    212  N   GLN A  29     -11.447 -52.207   7.262  1.00 48.19           N  \\nATOM    213  CA  GLN A  29     -12.299 -51.654   8.310  1.00 48.19           C  \\nATOM    214  C   GLN A  29     -11.866 -50.239   8.682  1.00 48.19           C  \\nATOM    215  CB  GLN A  29     -12.279 -52.551   9.548  1.00 48.19           C  \\nATOM    216  O   GLN A  29     -10.712 -50.014   9.053  1.00 48.19           O  \\nATOM    217  CG  GLN A  29     -13.663 -52.948  10.044  1.00 48.19           C  \\nATOM    218  CD  GLN A  29     -13.664 -54.270  10.788  1.00 48.19           C  \\nATOM    219  NE2 GLN A  29     -14.832 -54.895  10.884  1.00 48.19           N  \\nATOM    220  OE1 GLN A  29     -12.623 -54.726  11.271  1.00 48.19           O  \\nATOM    221  N   GLY A  30     -12.665 -49.218   8.256  1.00 46.38           N  \\nATOM    222  CA  GLY A  30     -13.415 -48.408   9.204  1.00 46.38           C  \\nATOM    223  C   GLY A  30     -14.115 -47.228   8.558  1.00 46.38           C  \\nATOM    224  O   GLY A  30     -13.474 -46.399   7.908  1.00 46.38           O  \\nATOM    225  N   GLY A  31     -15.360 -47.446   8.240  1.00 48.10           N  \\nATOM    226  CA  GLY A  31     -16.491 -47.008   9.042  1.00 48.10           C  \\nATOM    227  C   GLY A  31     -17.286 -45.890   8.393  1.00 48.10           C  \\nATOM    228  O   GLY A  31     -16.727 -44.852   8.033  1.00 48.10           O  \\nATOM    229  N   GLY A  32     -18.358 -46.161   7.602  1.00 37.49           N  \\nATOM    230  CA  GLY A  32     -19.760 -46.079   7.980  1.00 37.49           C  \\nATOM    231  C   GLY A  32     -20.342 -44.688   7.817  1.00 37.49           C  \\nATOM    232  O   GLY A  32     -19.776 -43.711   8.312  1.00 37.49           O  \\nATOM    233  N   GLY A  33     -20.985 -44.370   6.703  1.00 44.39           N  \\nATOM    234  CA  GLY A  33     -22.346 -43.934   6.970  1.00 44.39           C  \\nATOM    235  C   GLY A  33     -22.943 -43.116   5.840  1.00 44.39           C  \\nATOM    236  O   GLY A  33     -22.280 -42.234   5.289  1.00 44.39           O  \\nATOM    237  N   SER A  34     -23.650 -43.670   4.948  1.00 46.55           N  \\nATOM    238  CA  SER A  34     -25.065 -43.613   4.595  1.00 46.55           C  \\nATOM    239  C   SER A  34     -25.378 -42.370   3.769  1.00 46.55           C  \\nATOM    240  CB  SER A  34     -25.933 -43.631   5.853  1.00 46.55           C  \\nATOM    241  O   SER A  34     -25.016 -41.256   4.152  1.00 46.55           O  \\nATOM    242  OG  SER A  34     -25.243 -44.237   6.932  1.00 46.55           O  \\nATOM    243  N   ALA A  35     -25.233 -42.415   2.530  1.00 44.68           N  \\nATOM    244  CA  ALA A  35     -26.076 -41.885   1.461  1.00 44.68           C  \\nATOM    245  C   ALA A  35     -27.430 -41.435   2.002  1.00 44.68           C  \\nATOM    246  CB  ALA A  35     -26.266 -42.931   0.366  1.00 44.68           C  \\nATOM    247  O   ALA A  35     -28.265 -42.264   2.371  1.00 44.68           O  \\nATOM    248  N   ASP A  36     -27.439 -40.540   3.104  1.00 52.01           N  \\nATOM    249  CA  ASP A  36     -28.586 -39.800   3.621  1.00 52.01           C  \\nATOM    250  C   ASP A  36     -28.859 -38.554   2.782  1.00 52.01           C  \\nATOM    251  CB  ASP A  36     -28.358 -39.410   5.083  1.00 52.01           C  \\nATOM    252  O   ASP A  36     -27.938 -37.802   2.459  1.00 52.01           O  \\nATOM    253  CG  ASP A  36     -29.639 -39.014   5.798  1.00 52.01           C  \\nATOM    254  OD1 ASP A  36     -30.676 -39.684   5.607  1.00 52.01           O  \\nATOM    255  OD2 ASP A  36     -29.610 -38.020   6.556  1.00 52.01           O  \\nATOM    256  N   GLY A  37     -29.548 -38.546   1.653  1.00 48.40           N  \\nATOM    257  CA  GLY A  37     -30.608 -37.600   1.342  1.00 48.40           C  \\nATOM    258  C   GLY A  37     -30.458 -36.276   2.068  1.00 48.40           C  \\nATOM    259  O   GLY A  37     -31.452 -35.632   2.407  1.00 48.40           O  \\nATOM    260  N   GLY A  38     -29.266 -35.592   2.196  1.00 48.51           N  \\nATOM    261  CA  GLY A  38     -29.005 -34.455   3.065  1.00 48.51           C  \\nATOM    262  C   GLY A  38     -29.070 -33.124   2.341  1.00 48.51           C  \\nATOM    263  O   GLY A  38     -28.574 -32.996   1.219  1.00 48.51           O  \\nATOM    264  N   GLU A  39     -30.301 -32.600   2.149  1.00 61.61           N  \\nATOM    265  CA  GLU A  39     -30.601 -31.190   1.918  1.00 61.61           C  \\nATOM    266  C   GLU A  39     -29.324 -30.380   1.715  1.00 61.61           C  \\nATOM    267  CB  GLU A  39     -31.410 -30.614   3.083  1.00 61.61           C  \\nATOM    268  O   GLU A  39     -28.328 -30.599   2.407  1.00 61.61           O  \\nATOM    269  CG  GLU A  39     -32.838 -30.241   2.715  1.00 61.61           C  \\nATOM    270  CD  GLU A  39     -33.650 -29.735   3.898  1.00 61.61           C  \\nATOM    271  OE1 GLU A  39     -34.821 -29.338   3.705  1.00 61.61           O  \\nATOM    272  OE2 GLU A  39     -33.109 -29.735   5.026  1.00 61.61           O  \\nATOM    273  N   PRO A  40     -29.140 -29.678   0.443  1.00 66.79           N  \\nATOM    274  CA  PRO A  40     -27.954 -28.842   0.244  1.00 66.79           C  \\nATOM    275  C   PRO A  40     -27.620 -27.991   1.467  1.00 66.79           C  \\nATOM    276  CB  PRO A  40     -28.340 -27.960  -0.946  1.00 66.79           C  \\nATOM    277  O   PRO A  40     -28.522 -27.453   2.114  1.00 66.79           O  \\nATOM    278  CG  PRO A  40     -29.829 -28.056  -1.025  1.00 66.79           C  \\nATOM    279  CD  PRO A  40     -30.279 -29.210  -0.176  1.00 66.79           C  \\nATOM    280  N   ARG A  41     -26.719 -28.439   2.398  1.00 66.19           N  \\nATOM    281  CA  ARG A  41     -26.211 -27.572   3.456  1.00 66.19           C  \\nATOM    282  C   ARG A  41     -26.127 -26.124   2.985  1.00 66.19           C  \\nATOM    283  CB  ARG A  41     -24.837 -28.050   3.930  1.00 66.19           C  \\nATOM    284  O   ARG A  41     -25.524 -25.837   1.948  1.00 66.19           O  \\nATOM    285  CG  ARG A  41     -24.891 -29.231   4.885  1.00 66.19           C  \\nATOM    286  CD  ARG A  41     -23.507 -29.604   5.400  1.00 66.19           C  \\nATOM    287  NE  ARG A  41     -23.559 -30.748   6.305  1.00 66.19           N  \\nATOM    288  NH1 ARG A  41     -21.367 -30.554   7.009  1.00 66.19           N  \\nATOM    289  NH2 ARG A  41     -22.698 -32.226   7.838  1.00 66.19           N  \\nATOM    290  CZ  ARG A  41     -22.541 -31.173   7.049  1.00 66.19           C  \\nATOM    291  N   LYS A  42     -27.128 -25.328   3.179  1.00 69.49           N  \\nATOM    292  CA  LYS A  42     -27.201 -23.893   2.922  1.00 69.49           C  \\nATOM    293  C   LYS A  42     -25.892 -23.201   3.293  1.00 69.49           C  \\nATOM    294  CB  LYS A  42     -28.362 -23.267   3.696  1.00 69.49           C  \\nATOM    295  O   LYS A  42     -25.376 -23.388   4.396  1.00 69.49           O  \\nATOM    296  CG  LYS A  42     -29.618 -23.056   2.864  1.00 69.49           C  \\nATOM    297  CD  LYS A  42     -30.741 -22.444   3.692  1.00 69.49           C  \\nATOM    298  CE  LYS A  42     -32.042 -22.370   2.904  1.00 69.49           C  \\nATOM    299  NZ  LYS A  42     -33.117 -21.674   3.673  1.00 69.49           N  \\nATOM    300  N   ARG A  43     -25.072 -22.959   2.330  1.00 76.01           N  \\nATOM    301  CA  ARG A  43     -23.866 -22.157   2.509  1.00 76.01           C  \\nATOM    302  C   ARG A  43     -24.141 -20.941   3.388  1.00 76.01           C  \\nATOM    303  CB  ARG A  43     -23.311 -21.709   1.155  1.00 76.01           C  \\nATOM    304  O   ARG A  43     -25.050 -20.158   3.105  1.00 76.01           O  \\nATOM    305  CG  ARG A  43     -22.727 -22.841   0.324  1.00 76.01           C  \\nATOM    306  CD  ARG A  43     -22.139 -22.333  -0.985  1.00 76.01           C  \\nATOM    307  NE  ARG A  43     -21.667 -23.431  -1.825  1.00 76.01           N  \\nATOM    308  NH1 ARG A  43     -20.546 -22.076  -3.324  1.00 76.01           N  \\nATOM    309  NH2 ARG A  43     -20.548 -24.351  -3.607  1.00 76.01           N  \\nATOM    310  CZ  ARG A  43     -20.921 -23.283  -2.917  1.00 76.01           C  \\nATOM    311  N   ARG A  44     -23.925 -21.096   4.689  1.00 79.23           N  \\nATOM    312  CA  ARG A  44     -24.088 -20.027   5.670  1.00 79.23           C  \\nATOM    313  C   ARG A  44     -23.377 -18.756   5.218  1.00 79.23           C  \\nATOM    314  CB  ARG A  44     -23.559 -20.466   7.037  1.00 79.23           C  \\nATOM    315  O   ARG A  44     -22.213 -18.800   4.814  1.00 79.23           O  \\nATOM    316  CG  ARG A  44     -24.164 -19.704   8.205  1.00 79.23           C  \\nATOM    317  CD  ARG A  44     -23.718 -20.276   9.543  1.00 79.23           C  \\nATOM    318  NE  ARG A  44     -23.285 -19.227  10.461  1.00 79.23           N  \\nATOM    319  NH1 ARG A  44     -22.390 -20.675  12.023  1.00 79.23           N  \\nATOM    320  NH2 ARG A  44     -22.315 -18.411  12.376  1.00 79.23           N  \\nATOM    321  CZ  ARG A  44     -22.664 -19.440  11.618  1.00 79.23           C  \\nATOM    322  N   ARG A  45     -24.138 -17.710   5.017  1.00 84.79           N  \\nATOM    323  CA  ARG A  45     -23.687 -16.354   4.724  1.00 84.79           C  \\nATOM    324  C   ARG A  45     -23.030 -15.719   5.946  1.00 84.79           C  \\nATOM    325  CB  ARG A  45     -24.856 -15.488   4.249  1.00 84.79           C  \\nATOM    326  O   ARG A  45     -23.475 -15.929   7.076  1.00 84.79           O  \\nATOM    327  CG  ARG A  45     -24.437 -14.128   3.713  1.00 84.79           C  \\nATOM    328  CD  ARG A  45     -25.615 -13.371   3.115  1.00 84.79           C  \\nATOM    329  NE  ARG A  45     -25.217 -12.054   2.627  1.00 84.79           N  \\nATOM    330  NH1 ARG A  45     -27.369 -11.223   2.501  1.00 84.79           N  \\nATOM    331  NH2 ARG A  45     -25.590  -9.904   1.909  1.00 84.79           N  \\nATOM    332  CZ  ARG A  45     -26.060 -11.063   2.347  1.00 84.79           C  \\nATOM    333  N   PHE A  46     -21.887 -15.168   5.707  1.00 88.08           N  \\nATOM    334  CA  PHE A  46     -21.163 -14.468   6.761  1.00 88.08           C  \\nATOM    335  C   PHE A  46     -21.965 -13.276   7.270  1.00 88.08           C  \\nATOM    336  CB  PHE A  46     -19.793 -14.003   6.257  1.00 88.08           C  \\nATOM    337  O   PHE A  46     -22.681 -12.630   6.502  1.00 88.08           O  \\nATOM    338  CG  PHE A  46     -18.848 -15.131   5.942  1.00 88.08           C  \\nATOM    339  CD1 PHE A  46     -18.141 -15.767   6.955  1.00 88.08           C  \\nATOM    340  CD2 PHE A  46     -18.666 -15.554   4.632  1.00 88.08           C  \\nATOM    341  CE1 PHE A  46     -17.265 -16.811   6.666  1.00 88.08           C  \\nATOM    342  CE2 PHE A  46     -17.792 -16.597   4.336  1.00 88.08           C  \\nATOM    343  CZ  PHE A  46     -17.092 -17.223   5.354  1.00 88.08           C  \\nATOM    344  N   ARG A  47     -22.057 -13.131   8.584  1.00 89.64           N  \\nATOM    345  CA  ARG A  47     -22.597 -11.903   9.157  1.00 89.64           C  \\nATOM    346  C   ARG A  47     -21.839 -10.681   8.649  1.00 89.64           C  \\nATOM    347  CB  ARG A  47     -22.544 -11.954  10.686  1.00 89.64           C  \\nATOM    348  O   ARG A  47     -20.668 -10.781   8.278  1.00 89.64           O  \\nATOM    349  CG  ARG A  47     -23.378 -13.070  11.294  1.00 89.64           C  \\nATOM    350  CD  ARG A  47     -23.355 -13.026  12.816  1.00 89.64           C  \\nATOM    351  NE  ARG A  47     -24.466 -13.776  13.394  1.00 89.64           N  \\nATOM    352  NH1 ARG A  47     -24.110 -13.041  15.555  1.00 89.64           N  \\nATOM    353  NH2 ARG A  47     -25.829 -14.488  15.100  1.00 89.64           N  \\nATOM    354  CZ  ARG A  47     -24.799 -13.767  14.681  1.00 89.64           C  \\nATOM    355  N   PRO A  48     -22.593  -9.598   8.503  1.00 89.53           N  \\nATOM    356  CA  PRO A  48     -21.931  -8.374   8.044  1.00 89.53           C  \\nATOM    357  C   PRO A  48     -20.694  -8.027   8.869  1.00 89.53           C  \\nATOM    358  CB  PRO A  48     -23.015  -7.305   8.209  1.00 89.53           C  \\nATOM    359  O   PRO A  48     -20.737  -8.070  10.101  1.00 89.53           O  \\nATOM    360  CG  PRO A  48     -24.302  -8.065   8.227  1.00 89.53           C  \\nATOM    361  CD  PRO A  48     -24.050  -9.415   8.834  1.00 89.53           C  \\nATOM    362  N   GLY A  49     -19.511  -8.007   8.307  1.00 88.41           N  \\nATOM    363  CA  GLY A  49     -18.283  -7.621   8.982  1.00 88.41           C  \\nATOM    364  C   GLY A  49     -17.415  -8.804   9.367  1.00 88.41           C  \\nATOM    365  O   GLY A  49     -16.239  -8.638   9.695  1.00 88.41           O  \\nATOM    366  N   GLU A  50     -18.005 -10.037   9.429  1.00 92.57           N  \\nATOM    367  CA  GLU A  50     -17.304 -11.266   9.790  1.00 92.57           C  \\nATOM    368  C   GLU A  50     -16.235 -11.615   8.759  1.00 92.57           C  \\nATOM    369  CB  GLU A  50     -18.293 -12.425   9.935  1.00 92.57           C  \\nATOM    370  O   GLU A  50     -15.107 -11.959   9.118  1.00 92.57           O  \\nATOM    371  CG  GLU A  50     -17.670 -13.699  10.487  1.00 92.57           C  \\nATOM    372  CD  GLU A  50     -18.683 -14.809  10.723  1.00 92.57           C  \\nATOM    373  OE1 GLU A  50     -18.274 -15.941  11.068  1.00 92.57           O  \\nATOM    374  OE2 GLU A  50     -19.895 -14.544  10.562  1.00 92.57           O  \\nATOM    375  N   ARG A  51     -16.544 -11.535   7.528  1.00 92.15           N  \\nATOM    376  CA  ARG A  51     -15.588 -11.833   6.467  1.00 92.15           C  \\nATOM    377  C   ARG A  51     -14.428 -10.843   6.483  1.00 92.15           C  \\nATOM    378  CB  ARG A  51     -16.276 -11.812   5.101  1.00 92.15           C  \\nATOM    379  O   ARG A  51     -13.271 -11.231   6.309  1.00 92.15           O  \\nATOM    380  CG  ARG A  51     -15.445 -12.420   3.983  1.00 92.15           C  \\nATOM    381  CD  ARG A  51     -16.218 -12.478   2.673  1.00 92.15           C  \\nATOM    382  NE  ARG A  51     -15.355 -12.849   1.554  1.00 92.15           N  \\nATOM    383  NH1 ARG A  51     -16.967 -12.517  -0.067  1.00 92.15           N  \\nATOM    384  NH2 ARG A  51     -14.865 -13.213  -0.660  1.00 92.15           N  \\nATOM    385  CZ  ARG A  51     -15.731 -12.859   0.278  1.00 92.15           C  \\nATOM    386  N   ALA A  52     -14.721  -9.592   6.662  1.00 91.18           N  \\nATOM    387  CA  ALA A  52     -13.718  -8.531   6.706  1.00 91.18           C  \\nATOM    388  C   ALA A  52     -12.742  -8.747   7.859  1.00 91.18           C  \\nATOM    389  CB  ALA A  52     -14.391  -7.167   6.831  1.00 91.18           C  \\nATOM    390  O   ALA A  52     -11.529  -8.599   7.690  1.00 91.18           O  \\nATOM    391  N   LEU A  53     -13.246  -9.185   8.993  1.00 92.99           N  \\nATOM    392  CA  LEU A  53     -12.421  -9.419  10.174  1.00 92.99           C  \\nATOM    393  C   LEU A  53     -11.519 -10.632   9.975  1.00 92.99           C  \\nATOM    394  CB  LEU A  53     -13.301  -9.621  11.411  1.00 92.99           C  \\nATOM    395  O   LEU A  53     -10.374 -10.641  10.432  1.00 92.99           O  \\nATOM    396  CG  LEU A  53     -13.988  -8.372  11.964  1.00 92.99           C  \\nATOM    397  CD1 LEU A  53     -14.941  -8.748  13.095  1.00 92.99           C  \\nATOM    398  CD2 LEU A  53     -12.954  -7.360  12.445  1.00 92.99           C  \\nATOM    399  N   LYS A  54     -12.127 -11.594   9.362  1.00 94.66           N  \\nATOM    400  CA  LYS A  54     -11.333 -12.776   9.042  1.00 94.66           C  \\nATOM    401  C   LYS A  54     -10.178 -12.426   8.108  1.00 94.66           C  \\nATOM    402  CB  LYS A  54     -12.210 -13.857   8.408  1.00 94.66           C  \\nATOM    403  O   LYS A  54      -9.048 -12.875   8.313  1.00 94.66           O  \\nATOM    404  CG  LYS A  54     -11.526 -15.210   8.274  1.00 94.66           C  \\nATOM    405  CD  LYS A  54     -12.483 -16.270   7.744  1.00 94.66           C  \\nATOM    406  CE  LYS A  54     -11.793 -17.618   7.586  1.00 94.66           C  \\nATOM    407  NZ  LYS A  54     -12.733 -18.667   7.089  1.00 94.66           N  \\nATOM    408  N   GLU A  55     -10.408 -11.642   7.111  1.00 94.13           N  \\nATOM    409  CA  GLU A  55      -9.391 -11.219   6.153  1.00 94.13           C  \\nATOM    410  C   GLU A  55      -8.332 -10.348   6.822  1.00 94.13           C  \\nATOM    411  CB  GLU A  55     -10.032 -10.465   4.985  1.00 94.13           C  \\nATOM    412  O   GLU A  55      -7.139 -10.490   6.547  1.00 94.13           O  \\nATOM    413  CG  GLU A  55     -10.847 -11.351   4.054  1.00 94.13           C  \\nATOM    414  CD  GLU A  55     -11.540 -10.577   2.945  1.00 94.13           C  \\nATOM    415  OE1 GLU A  55     -12.225 -11.204   2.104  1.00 94.13           O  \\nATOM    416  OE2 GLU A  55     -11.398  -9.335   2.915  1.00 94.13           O  \\nATOM    417  N   ILE A  56      -8.779  -9.473   7.680  1.00 92.65           N  \\nATOM    418  CA  ILE A  56      -7.860  -8.593   8.394  1.00 92.65           C  \\nATOM    419  C   ILE A  56      -6.881  -9.427   9.216  1.00 92.65           C  \\nATOM    420  CB  ILE A  56      -8.619  -7.603   9.306  1.00 92.65           C  \\nATOM    421  O   ILE A  56      -5.672  -9.183   9.189  1.00 92.65           O  \\nATOM    422  CG1 ILE A  56      -9.405  -6.594   8.462  1.00 92.65           C  \\nATOM    423  CG2 ILE A  56      -7.649  -6.888  10.252  1.00 92.65           C  \\nATOM    424  CD1 ILE A  56     -10.338  -5.704   9.271  1.00 92.65           C  \\nATOM    425  N   ARG A  57      -7.402 -10.403   9.903  1.00 95.07           N  \\nATOM    426  CA  ARG A  57      -6.568 -11.265  10.735  1.00 95.07           C  \\nATOM    427  C   ARG A  57      -5.604 -12.082   9.882  1.00 95.07           C  \\nATOM    428  CB  ARG A  57      -7.437 -12.196  11.583  1.00 95.07           C  \\nATOM    429  O   ARG A  57      -4.442 -12.265  10.253  1.00 95.07           O  \\nATOM    430  CG  ARG A  57      -8.196 -11.489  12.694  1.00 95.07           C  \\nATOM    431  CD  ARG A  57      -9.020 -12.464  13.523  1.00 95.07           C  \\nATOM    432  NE  ARG A  57      -9.863 -11.769  14.492  1.00 95.07           N  \\nATOM    433  NH1 ARG A  57     -10.905 -13.679  15.267  1.00 95.07           N  \\nATOM    434  NH2 ARG A  57     -11.455 -11.633  16.142  1.00 95.07           N  \\nATOM    435  CZ  ARG A  57     -10.739 -12.362  15.298  1.00 95.07           C  \\nATOM    436  N   ALA A  58      -6.187 -12.558   8.834  1.00 95.26           N  \\nATOM    437  CA  ALA A  58      -5.356 -13.340   7.922  1.00 95.26           C  \\nATOM    438  C   ALA A  58      -4.207 -12.501   7.371  1.00 95.26           C  \\nATOM    439  CB  ALA A  58      -6.200 -13.897   6.778  1.00 95.26           C  \\nATOM    440  O   ALA A  58      -3.058 -12.950   7.347  1.00 95.26           O  \\nATOM    441  N   TYR A  59      -4.471 -11.202   6.923  1.00 94.34           N  \\nATOM    442  CA  TYR A  59      -3.470 -10.331   6.315  1.00 94.34           C  \\nATOM    443  C   TYR A  59      -2.462  -9.852   7.353  1.00 94.34           C  \\nATOM    444  CB  TYR A  59      -4.141  -9.128   5.645  1.00 94.34           C  \\nATOM    445  O   TYR A  59      -1.295  -9.618   7.031  1.00 94.34           O  \\nATOM    446  CG  TYR A  59      -4.886  -9.476   4.379  1.00 94.34           C  \\nATOM    447  CD1 TYR A  59      -4.310 -10.298   3.412  1.00 94.34           C  \\nATOM    448  CD2 TYR A  59      -6.165  -8.983   4.147  1.00 94.34           C  \\nATOM    449  CE1 TYR A  59      -4.992 -10.620   2.244  1.00 94.34           C  \\nATOM    450  CE2 TYR A  59      -6.856  -9.299   2.981  1.00 94.34           C  \\nATOM    451  OH  TYR A  59      -6.943 -10.432   0.882  1.00 94.34           O  \\nATOM    452  CZ  TYR A  59      -6.263 -10.117   2.038  1.00 94.34           C  \\nATOM    453  N   GLN A  60      -2.896  -9.782   8.568  1.00 93.35           N  \\nATOM    454  CA  GLN A  60      -2.007  -9.360   9.645  1.00 93.35           C  \\nATOM    455  C   GLN A  60      -1.028 -10.470  10.017  1.00 93.35           C  \\nATOM    456  CB  GLN A  60      -2.814  -8.938  10.874  1.00 93.35           C  \\nATOM    457  O   GLN A  60       0.050 -10.201  10.551  1.00 93.35           O  \\nATOM    458  CG  GLN A  60      -3.552  -7.618  10.701  1.00 93.35           C  \\nATOM    459  CD  GLN A  60      -4.371  -7.239  11.921  1.00 93.35           C  \\nATOM    460  NE2 GLN A  60      -4.679  -5.953  12.053  1.00 93.35           N  \\nATOM    461  OE1 GLN A  60      -4.725  -8.095  12.738  1.00 93.35           O  \\nATOM    462  N   ARG A  61      -1.309 -11.713   9.755  1.00 95.32           N  \\nATOM    463  CA  ARG A  61      -0.470 -12.859  10.089  1.00 95.32           C  \\nATOM    464  C   ARG A  61       0.570 -13.111   9.003  1.00 95.32           C  \\nATOM    465  CB  ARG A  61      -1.325 -14.110  10.296  1.00 95.32           C  \\nATOM    466  O   ARG A  61       1.626 -13.689   9.269  1.00 95.32           O  \\nATOM    467  CG  ARG A  61      -2.112 -14.110  11.597  1.00 95.32           C  \\nATOM    468  CD  ARG A  61      -2.775 -15.456  11.856  1.00 95.32           C  \\nATOM    469  NE  ARG A  61      -4.007 -15.606  11.087  1.00 95.32           N  \\nATOM    470  NH1 ARG A  61      -3.898 -17.911  10.970  1.00 95.32           N  \\nATOM    471  NH2 ARG A  61      -5.640 -16.790   9.989  1.00 95.32           N  \\nATOM    472  CZ  ARG A  61      -4.512 -16.769  10.684  1.00 95.32           C  \\nATOM    473  N   THR A  62       0.258 -12.569   7.850  1.00 94.18           N  \\nATOM    474  CA  THR A  62       1.162 -12.796   6.728  1.00 94.18           C  \\nATOM    475  C   THR A  62       1.757 -11.478   6.239  1.00 94.18           C  \\nATOM    476  CB  THR A  62       0.442 -13.501   5.564  1.00 94.18           C  \\nATOM    477  O   THR A  62       1.267 -10.402   6.588  1.00 94.18           O  \\nATOM    478  CG2 THR A  62      -0.227 -14.789   6.031  1.00 94.18           C  \\nATOM    479  OG1 THR A  62      -0.557 -12.624   5.027  1.00 94.18           O  \\nATOM    480  N   THR A  63       2.810 -11.582   5.494  1.00 93.01           N  \\nATOM    481  CA  THR A  63       3.437 -10.405   4.902  1.00 93.01           C  \\nATOM    482  C   THR A  63       3.479 -10.522   3.381  1.00 93.01           C  \\nATOM    483  CB  THR A  63       4.864 -10.200   5.444  1.00 93.01           C  \\nATOM    484  O   THR A  63       4.369  -9.966   2.735  1.00 93.01           O  \\nATOM    485  CG2 THR A  63       4.846  -9.893   6.937  1.00 93.01           C  \\nATOM    486  OG1 THR A  63       5.628 -11.392   5.221  1.00 93.01           O  \\nATOM    487  N   GLU A  64       2.565 -11.299   2.852  1.00 94.37           N  \\nATOM    488  CA  GLU A  64       2.485 -11.480   1.405  1.00 94.37           C  \\nATOM    489  C   GLU A  64       2.092 -10.181   0.708  1.00 94.37           C  \\nATOM    490  CB  GLU A  64       1.487 -12.587   1.056  1.00 94.37           C  \\nATOM    491  O   GLU A  64       1.350  -9.370   1.266  1.00 94.37           O  \\nATOM    492  CG  GLU A  64       1.884 -13.960   1.580  1.00 94.37           C  \\nATOM    493  CD  GLU A  64       0.923 -15.062   1.162  1.00 94.37           C  \\nATOM    494  OE1 GLU A  64       1.217 -16.252   1.415  1.00 94.37           O  \\nATOM    495  OE2 GLU A  64      -0.133 -14.732   0.578  1.00 94.37           O  \\nATOM    496  N   LEU A  65       2.657  -9.965  -0.458  1.00 95.18           N  \\nATOM    497  CA  LEU A  65       2.328  -8.782  -1.247  1.00 95.18           C  \\nATOM    498  C   LEU A  65       0.904  -8.867  -1.785  1.00 95.18           C  \\nATOM    499  CB  LEU A  65       3.315  -8.619  -2.406  1.00 95.18           C  \\nATOM    500  O   LEU A  65       0.472  -9.926  -2.247  1.00 95.18           O  \\nATOM    501  CG  LEU A  65       4.779  -8.399  -2.024  1.00 95.18           C  \\nATOM    502  CD1 LEU A  65       5.658  -8.397  -3.270  1.00 95.18           C  \\nATOM    503  CD2 LEU A  65       4.939  -7.095  -1.249  1.00 95.18           C  \\nATOM    504  N   LEU A  66       0.189  -7.702  -1.714  1.00 94.81           N  \\nATOM    505  CA  LEU A  66      -1.228  -7.675  -2.061  1.00 94.81           C  \\nATOM    506  C   LEU A  66      -1.427  -7.199  -3.496  1.00 94.81           C  \\nATOM    507  CB  LEU A  66      -1.999  -6.769  -1.098  1.00 94.81           C  \\nATOM    508  O   LEU A  66      -2.360  -7.633  -4.175  1.00 94.81           O  \\nATOM    509  CG  LEU A  66      -2.016  -7.198   0.370  1.00 94.81           C  \\nATOM    510  CD1 LEU A  66      -2.754  -6.165   1.216  1.00 94.81           C  \\nATOM    511  CD2 LEU A  66      -2.657  -8.574   0.518  1.00 94.81           C  \\nATOM    512  N   LEU A  67      -0.567  -6.379  -3.957  1.00 95.40           N  \\nATOM    513  CA  LEU A  67      -0.639  -5.864  -5.320  1.00 95.40           C  \\nATOM    514  C   LEU A  67      -0.017  -6.846  -6.306  1.00 95.40           C  \\nATOM    515  CB  LEU A  67       0.065  -4.508  -5.418  1.00 95.40           C  \\nATOM    516  O   LEU A  67       1.014  -7.456  -6.015  1.00 95.40           O  \\nATOM    517  CG  LEU A  67      -0.507  -3.382  -4.555  1.00 95.40           C  \\nATOM    518  CD1 LEU A  67       0.392  -2.152  -4.625  1.00 95.40           C  \\nATOM    519  CD2 LEU A  67      -1.926  -3.039  -4.995  1.00 95.40           C  \\nATOM    520  N   ARG A  68      -0.681  -7.000  -7.393  1.00 96.93           N  \\nATOM    521  CA  ARG A  68      -0.120  -7.859  -8.431  1.00 96.93           C  \\nATOM    522  C   ARG A  68       1.200  -7.299  -8.950  1.00 96.93           C  \\nATOM    523  CB  ARG A  68      -1.110  -8.023  -9.586  1.00 96.93           C  \\nATOM    524  O   ARG A  68       1.329  -6.091  -9.158  1.00 96.93           O  \\nATOM    525  CG  ARG A  68      -2.417  -8.690  -9.187  1.00 96.93           C  \\nATOM    526  CD  ARG A  68      -3.409  -8.723 -10.341  1.00 96.93           C  \\nATOM    527  NE  ARG A  68      -3.036  -9.716 -11.345  1.00 96.93           N  \\nATOM    528  NH1 ARG A  68      -4.479  -8.924 -12.965  1.00 96.93           N  \\nATOM    529  NH2 ARG A  68      -3.141 -10.733 -13.401  1.00 96.93           N  \\nATOM    530  CZ  ARG A  68      -3.553  -9.788 -12.568  1.00 96.93           C  \\nATOM    531  N   LYS A  69       2.125  -8.175  -9.255  1.00 95.68           N  \\nATOM    532  CA  LYS A  69       3.498  -7.794  -9.571  1.00 95.68           C  \\nATOM    533  C   LYS A  69       3.577  -7.101 -10.929  1.00 95.68           C  \\nATOM    534  CB  LYS A  69       4.413  -9.020  -9.555  1.00 95.68           C  \\nATOM    535  O   LYS A  69       4.255  -6.081 -11.072  1.00 95.68           O  \\nATOM    536  CG  LYS A  69       4.655  -9.592  -8.166  1.00 95.68           C  \\nATOM    537  CD  LYS A  69       5.632 -10.761  -8.206  1.00 95.68           C  \\nATOM    538  CE  LYS A  69       5.885 -11.327  -6.815  1.00 95.68           C  \\nATOM    539  NZ  LYS A  69       6.937 -12.386  -6.831  1.00 95.68           N  \\nATOM    540  N   LEU A  70       2.836  -7.587 -11.952  1.00 96.14           N  \\nATOM    541  CA  LEU A  70       2.973  -7.101 -13.321  1.00 96.14           C  \\nATOM    542  C   LEU A  70       2.436  -5.680 -13.450  1.00 96.14           C  \\nATOM    543  CB  LEU A  70       2.238  -8.027 -14.295  1.00 96.14           C  \\nATOM    544  O   LEU A  70       3.114  -4.803 -13.991  1.00 96.14           O  \\nATOM    545  CG  LEU A  70       2.359  -7.682 -15.780  1.00 96.14           C  \\nATOM    546  CD1 LEU A  70       3.824  -7.660 -16.201  1.00 96.14           C  \\nATOM    547  CD2 LEU A  70       1.569  -8.675 -16.625  1.00 96.14           C  \\nATOM    548  N   PRO A  71       1.214  -5.373 -12.966  1.00 97.36           N  \\nATOM    549  CA  PRO A  71       0.740  -3.991 -13.064  1.00 97.36           C  \\nATOM    550  C   PRO A  71       1.610  -3.011 -12.280  1.00 97.36           C  \\nATOM    551  CB  PRO A  71      -0.671  -4.060 -12.474  1.00 97.36           C  \\nATOM    552  O   PRO A  71       1.795  -1.868 -12.705  1.00 97.36           O  \\nATOM    553  CG  PRO A  71      -1.072  -5.494 -12.610  1.00 97.36           C  \\nATOM    554  CD  PRO A  71       0.164  -6.343 -12.541  1.00 97.36           C  \\nATOM    555  N   PHE A  72       2.094  -3.436 -11.146  1.00 97.55           N  \\nATOM    556  CA  PHE A  72       2.977  -2.590 -10.351  1.00 97.55           C  \\nATOM    557  C   PHE A  72       4.265  -2.290 -11.108  1.00 97.55           C  \\nATOM    558  CB  PHE A  72       3.299  -3.257  -9.010  1.00 97.55           C  \\nATOM    559  O   PHE A  72       4.726  -1.147 -11.130  1.00 97.55           O  \\nATOM    560  CG  PHE A  72       4.153  -2.413  -8.102  1.00 97.55           C  \\nATOM    561  CD1 PHE A  72       5.530  -2.590  -8.059  1.00 97.55           C  \\nATOM    562  CD2 PHE A  72       3.577  -1.442  -7.293  1.00 97.55           C  \\nATOM    563  CE1 PHE A  72       6.323  -1.810  -7.220  1.00 97.55           C  \\nATOM    564  CE2 PHE A  72       4.363  -0.660  -6.451  1.00 97.55           C  \\nATOM    565  CZ  PHE A  72       5.736  -0.846  -6.416  1.00 97.55           C  \\nATOM    566  N   ALA A  73       4.784  -3.299 -11.698  1.00 96.69           N  \\nATOM    567  CA  ALA A  73       6.001  -3.134 -12.488  1.00 96.69           C  \\nATOM    568  C   ALA A  73       5.781  -2.157 -13.639  1.00 96.69           C  \\nATOM    569  CB  ALA A  73       6.475  -4.483 -13.023  1.00 96.69           C  \\nATOM    570  O   ALA A  73       6.638  -1.316 -13.920  1.00 96.69           O  \\nATOM    571  N   ARG A  74       4.655  -2.242 -14.340  1.00 96.56           N  \\nATOM    572  CA  ARG A  74       4.315  -1.341 -15.437  1.00 96.56           C  \\nATOM    573  C   ARG A  74       4.232   0.103 -14.953  1.00 96.56           C  \\nATOM    574  CB  ARG A  74       2.991  -1.755 -16.082  1.00 96.56           C  \\nATOM    575  O   ARG A  74       4.700   1.019 -15.633  1.00 96.56           O  \\nATOM    576  CG  ARG A  74       3.083  -3.020 -16.920  1.00 96.56           C  \\nATOM    577  CD  ARG A  74       1.731  -3.410 -17.503  1.00 96.56           C  \\nATOM    578  NE  ARG A  74       1.818  -4.635 -18.293  1.00 96.56           N  \\nATOM    579  NH1 ARG A  74      -0.445  -4.751 -18.742  1.00 96.56           N  \\nATOM    580  NH2 ARG A  74       0.975  -6.354 -19.561  1.00 96.56           N  \\nATOM    581  CZ  ARG A  74       0.783  -5.244 -18.863  1.00 96.56           C  \\nATOM    582  N   LEU A  75       3.680   0.226 -13.786  1.00 96.48           N  \\nATOM    583  CA  LEU A  75       3.553   1.552 -13.192  1.00 96.48           C  \\nATOM    584  C   LEU A  75       4.924   2.146 -12.888  1.00 96.48           C  \\nATOM    585  CB  LEU A  75       2.717   1.488 -11.911  1.00 96.48           C  \\nATOM    586  O   LEU A  75       5.165   3.327 -13.146  1.00 96.48           O  \\nATOM    587  CG  LEU A  75       2.511   2.809 -11.168  1.00 96.48           C  \\nATOM    588  CD1 LEU A  75       1.658   3.759 -12.001  1.00 96.48           C  \\nATOM    589  CD2 LEU A  75       1.872   2.563  -9.806  1.00 96.48           C  \\nATOM    590  N   VAL A  76       5.744   1.367 -12.348  1.00 95.67           N  \\nATOM    591  CA  VAL A  76       7.094   1.805 -12.012  1.00 95.67           C  \\nATOM    592  C   VAL A  76       7.813   2.280 -13.273  1.00 95.67           C  \\nATOM    593  CB  VAL A  76       7.903   0.679 -11.330  1.00 95.67           C  \\nATOM    594  O   VAL A  76       8.445   3.339 -13.273  1.00 95.67           O  \\nATOM    595  CG1 VAL A  76       9.372   1.077 -11.192  1.00 95.67           C  \\nATOM    596  CG2 VAL A  76       7.306   0.346  -9.964  1.00 95.67           C  \\nATOM    597  N   LYS A  77       7.692   1.567 -14.317  1.00 93.89           N  \\nATOM    598  CA  LYS A  77       8.328   1.918 -15.583  1.00 93.89           C  \\nATOM    599  C   LYS A  77       7.740   3.204 -16.157  1.00 93.89           C  \\nATOM    600  CB  LYS A  77       8.179   0.778 -16.592  1.00 93.89           C  \\nATOM    601  O   LYS A  77       8.465   4.029 -16.716  1.00 93.89           O  \\nATOM    602  CG  LYS A  77       9.034  -0.442 -16.279  1.00 93.89           C  \\nATOM    603  CD  LYS A  77       8.863  -1.529 -17.332  1.00 93.89           C  \\nATOM    604  CE  LYS A  77       9.674  -2.772 -16.990  1.00 93.89           C  \\nATOM    605  NZ  LYS A  77       9.501  -3.845 -18.013  1.00 93.89           N  \\nATOM    606  N   GLU A  78       6.391   3.310 -15.989  1.00 93.79           N  \\nATOM    607  CA  GLU A  78       5.721   4.531 -16.428  1.00 93.79           C  \\nATOM    608  C   GLU A  78       6.253   5.751 -15.680  1.00 93.79           C  \\nATOM    609  CB  GLU A  78       4.207   4.414 -16.235  1.00 93.79           C  \\nATOM    610  O   GLU A  78       6.497   6.798 -16.284  1.00 93.79           O  \\nATOM    611  CG  GLU A  78       3.428   5.622 -16.733  1.00 93.79           C  \\nATOM    612  CD  GLU A  78       1.936   5.528 -16.461  1.00 93.79           C  \\nATOM    613  OE1 GLU A  78       1.261   6.581 -16.405  1.00 93.79           O  \\nATOM    614  OE2 GLU A  78       1.437   4.392 -16.300  1.00 93.79           O  \\nATOM    615  N   VAL A  79       6.414   5.637 -14.380  1.00 94.06           N  \\nATOM    616  CA  VAL A  79       6.913   6.712 -13.530  1.00 94.06           C  \\nATOM    617  C   VAL A  79       8.365   7.023 -13.887  1.00 94.06           C  \\nATOM    618  CB  VAL A  79       6.799   6.351 -12.032  1.00 94.06           C  \\nATOM    619  O   VAL A  79       8.757   8.190 -13.958  1.00 94.06           O  \\nATOM    620  CG1 VAL A  79       7.491   7.404 -11.168  1.00 94.06           C  \\nATOM    621  CG2 VAL A  79       5.333   6.204 -11.629  1.00 94.06           C  \\nATOM    622  N   GLN A  80       9.125   6.001 -14.070  1.00 92.66           N  \\nATOM    623  CA  GLN A  80      10.521   6.152 -14.468  1.00 92.66           C  \\nATOM    624  C   GLN A  80      10.642   6.979 -15.744  1.00 92.66           C  \\nATOM    625  CB  GLN A  80      11.174   4.783 -14.665  1.00 92.66           C  \\nATOM    626  O   GLN A  80      11.527   7.830 -15.856  1.00 92.66           O  \\nATOM    627  CG  GLN A  80      12.631   4.854 -15.102  1.00 92.66           C  \\nATOM    628  CD  GLN A  80      12.839   4.387 -16.531  1.00 92.66           C  \\nATOM    629  NE2 GLN A  80      13.556   5.183 -17.317  1.00 92.66           N  \\nATOM    630  OE1 GLN A  80      12.361   3.319 -16.924  1.00 92.66           O  \\nATOM    631  N   GLU A  81       9.778   6.775 -16.658  1.00 90.98           N  \\nATOM    632  CA  GLU A  81       9.797   7.479 -17.936  1.00 90.98           C  \\nATOM    633  C   GLU A  81       9.541   8.972 -17.748  1.00 90.98           C  \\nATOM    634  CB  GLU A  81       8.762   6.884 -18.894  1.00 90.98           C  \\nATOM    635  O   GLU A  81      10.080   9.798 -18.487  1.00 90.98           O  \\nATOM    636  CG  GLU A  81       9.170   5.543 -19.485  1.00 90.98           C  \\nATOM    637  CD  GLU A  81       8.104   4.933 -20.382  1.00 90.98           C  \\nATOM    638  OE1 GLU A  81       8.346   3.850 -20.961  1.00 90.98           O  \\nATOM    639  OE2 GLU A  81       7.019   5.544 -20.506  1.00 90.98           O  \\nATOM    640  N   THR A  82       8.769   9.313 -16.713  1.00 91.55           N  \\nATOM    641  CA  THR A  82       8.451  10.708 -16.431  1.00 91.55           C  \\nATOM    642  C   THR A  82       9.619  11.398 -15.730  1.00 91.55           C  \\nATOM    643  CB  THR A  82       7.185  10.828 -15.563  1.00 91.55           C  \\nATOM    644  O   THR A  82       9.817  12.605 -15.885  1.00 91.55           O  \\nATOM    645  CG2 THR A  82       5.955  10.328 -16.313  1.00 91.55           C  \\nATOM    646  OG1 THR A  82       7.354  10.050 -14.371  1.00 91.55           O  \\nATOM    647  N   LEU A  83      10.403  10.634 -15.041  1.00 90.54           N  \\nATOM    648  CA  LEU A  83      11.459  11.191 -14.203  1.00 90.54           C  \\nATOM    649  C   LEU A  83      12.784  11.239 -14.957  1.00 90.54           C  \\nATOM    650  CB  LEU A  83      11.617  10.368 -12.922  1.00 90.54           C  \\nATOM    651  O   LEU A  83      13.661  12.041 -14.630  1.00 90.54           O  \\nATOM    652  CG  LEU A  83      10.418  10.352 -11.973  1.00 90.54           C  \\nATOM    653  CD1 LEU A  83      10.670   9.392 -10.816  1.00 90.54           C  \\nATOM    654  CD2 LEU A  83      10.127  11.757 -11.456  1.00 90.54           C  \\nATOM    655  N   THR A  84      12.966  10.377 -15.948  1.00 89.79           N  \\nATOM    656  CA  THR A  84      14.223  10.277 -16.680  1.00 89.79           C  \\nATOM    657  C   THR A  84      14.172  11.108 -17.959  1.00 89.79           C  \\nATOM    658  CB  THR A  84      14.551   8.813 -17.030  1.00 89.79           C  \\nATOM    659  O   THR A  84      13.119  11.220 -18.591  1.00 89.79           O  \\nATOM    660  CG2 THR A  84      15.967   8.684 -17.581  1.00 89.79           C  \\nATOM    661  OG1 THR A  84      14.434   8.009 -15.850  1.00 89.79           O  \\nATOM    662  N   PRO A  85      15.363  11.887 -18.271  1.00 86.32           N  \\nATOM    663  CA  PRO A  85      15.448  12.662 -19.510  1.00 86.32           C  \\nATOM    664  C   PRO A  85      15.221  11.809 -20.756  1.00 86.32           C  \\nATOM    665  CB  PRO A  85      16.874  13.218 -19.482  1.00 86.32           C  \\nATOM    666  O   PRO A  85      15.451  10.597 -20.730  1.00 86.32           O  \\nATOM    667  CG  PRO A  85      17.321  13.049 -18.066  1.00 86.32           C  \\nATOM    668  CD  PRO A  85      16.546  11.919 -17.452  1.00 86.32           C  \\nATOM    669  N   ALA A  86      14.638  12.484 -21.803  1.00 83.31           N  \\nATOM    670  CA  ALA A  86      14.333  11.840 -23.078  1.00 83.31           C  \\nATOM    671  C   ALA A  86      15.582  11.208 -23.686  1.00 83.31           C  \\nATOM    672  CB  ALA A  86      13.722  12.846 -24.050  1.00 83.31           C  \\nATOM    673  O   ALA A  86      16.657  11.811 -23.677  1.00 83.31           O  \\nATOM    674  N   GLY A  87      15.527   9.787 -23.763  1.00 78.60           N  \\nATOM    675  CA  GLY A  87      16.612   9.149 -24.490  1.00 78.60           C  \\nATOM    676  C   GLY A  87      17.488   8.277 -23.610  1.00 78.60           C  \\nATOM    677  O   GLY A  87      18.396   7.604 -24.102  1.00 78.60           O  \\nATOM    678  N   LYS A  88      17.094   8.293 -22.257  1.00 83.37           N  \\nATOM    679  CA  LYS A  88      17.754   7.391 -21.318  1.00 83.37           C  \\nATOM    680  C   LYS A  88      16.803   6.293 -20.850  1.00 83.37           C  \\nATOM    681  CB  LYS A  88      18.290   8.168 -20.114  1.00 83.37           C  \\nATOM    682  O   LYS A  88      15.723   6.580 -20.329  1.00 83.37           O  \\nATOM    683  CG  LYS A  88      19.564   8.950 -20.400  1.00 83.37           C  \\nATOM    684  CD  LYS A  88      20.111   9.606 -19.139  1.00 83.37           C  \\nATOM    685  CE  LYS A  88      21.298  10.509 -19.447  1.00 83.37           C  \\nATOM    686  NZ  LYS A  88      21.762  11.248 -18.235  1.00 83.37           N  \\nATOM    687  N   SER A  89      17.171   5.036 -21.351  1.00 83.53           N  \\nATOM    688  CA  SER A  89      16.353   3.878 -21.004  1.00 83.53           C  \\nATOM    689  C   SER A  89      16.990   3.068 -19.880  1.00 83.53           C  \\nATOM    690  CB  SER A  89      16.138   2.987 -22.228  1.00 83.53           C  \\nATOM    691  O   SER A  89      18.200   2.830 -19.889  1.00 83.53           O  \\nATOM    692  OG  SER A  89      17.364   2.424 -22.661  1.00 83.53           O  \\nATOM    693  N   TYR A  90      16.243   2.950 -18.757  1.00 88.40           N  \\nATOM    694  CA  TYR A  90      16.698   2.147 -17.627  1.00 88.40           C  \\nATOM    695  C   TYR A  90      16.061   0.763 -17.651  1.00 88.40           C  \\nATOM    696  CB  TYR A  90      16.374   2.848 -16.304  1.00 88.40           C  \\nATOM    697  O   TYR A  90      14.930   0.601 -18.116  1.00 88.40           O  \\nATOM    698  CG  TYR A  90      17.159   4.119 -16.083  1.00 88.40           C  \\nATOM    699  CD1 TYR A  90      18.502   4.076 -15.715  1.00 88.40           C  \\nATOM    700  CD2 TYR A  90      16.559   5.364 -16.240  1.00 88.40           C  \\nATOM    701  CE1 TYR A  90      19.229   5.244 -15.508  1.00 88.40           C  \\nATOM    702  CE2 TYR A  90      17.276   6.538 -16.035  1.00 88.40           C  \\nATOM    703  OH  TYR A  90      19.323   7.628 -15.467  1.00 88.40           O  \\nATOM    704  CZ  TYR A  90      18.608   6.468 -15.671  1.00 88.40           C  \\nATOM    705  N   ARG A  91      16.931  -0.163 -17.333  1.00 91.43           N  \\nATOM    706  CA  ARG A  91      16.435  -1.522 -17.149  1.00 91.43           C  \\nATOM    707  C   ARG A  91      16.317  -1.867 -15.668  1.00 91.43           C  \\nATOM    708  CB  ARG A  91      17.349  -2.529 -17.850  1.00 91.43           C  \\nATOM    709  O   ARG A  91      17.210  -1.549 -14.879  1.00 91.43           O  \\nATOM    710  CG  ARG A  91      17.352  -2.407 -19.366  1.00 91.43           C  \\nATOM    711  CD  ARG A  91      18.094  -3.562 -20.023  1.00 91.43           C  \\nATOM    712  NE  ARG A  91      17.884  -3.586 -21.467  1.00 91.43           N  \\nATOM    713  NH1 ARG A  91      20.083  -4.065 -21.988  1.00 91.43           N  \\nATOM    714  NH2 ARG A  91      18.532  -3.822 -23.658  1.00 91.43           N  \\nATOM    715  CZ  ARG A  91      18.834  -3.824 -22.368  1.00 91.43           C  \\nATOM    716  N   TRP A  92      15.184  -2.524 -15.308  1.00 94.27           N  \\nATOM    717  CA  TRP A  92      14.952  -2.880 -13.912  1.00 94.27           C  \\nATOM    718  C   TRP A  92      15.320  -4.336 -13.652  1.00 94.27           C  \\nATOM    719  CB  TRP A  92      13.489  -2.634 -13.530  1.00 94.27           C  \\nATOM    720  O   TRP A  92      14.976  -5.220 -14.441  1.00 94.27           O  \\nATOM    721  CG  TRP A  92      13.125  -1.184 -13.415  1.00 94.27           C  \\nATOM    722  CD1 TRP A  92      12.561  -0.397 -14.380  1.00 94.27           C  \\nATOM    723  CD2 TRP A  92      13.306  -0.347 -12.269  1.00 94.27           C  \\nATOM    724  CE2 TRP A  92      12.827   0.938 -12.610  1.00 94.27           C  \\nATOM    725  CE3 TRP A  92      13.825  -0.558 -10.984  1.00 94.27           C  \\nATOM    726  NE1 TRP A  92      12.379   0.880 -13.902  1.00 94.27           N  \\nATOM    727  CH2 TRP A  92      13.366   1.774 -10.463  1.00 94.27           C  \\nATOM    728  CZ2 TRP A  92      12.853   2.008 -11.712  1.00 94.27           C  \\nATOM    729  CZ3 TRP A  92      13.850   0.508 -10.092  1.00 94.27           C  \\nATOM    730  N   GLN A  93      16.054  -4.442 -12.639  1.00 96.55           N  \\nATOM    731  CA  GLN A  93      16.243  -5.784 -12.098  1.00 96.55           C  \\nATOM    732  C   GLN A  93      14.985  -6.271 -11.384  1.00 96.55           C  \\nATOM    733  CB  GLN A  93      17.435  -5.816 -11.141  1.00 96.55           C  \\nATOM    734  O   GLN A  93      14.250  -5.474 -10.798  1.00 96.55           O  \\nATOM    735  CG  GLN A  93      18.778  -5.590 -11.824  1.00 96.55           C  \\nATOM    736  CD  GLN A  93      19.936  -5.558 -10.844  1.00 96.55           C  \\nATOM    737  NE2 GLN A  93      21.152  -5.703 -11.359  1.00 96.55           N  \\nATOM    738  OE1 GLN A  93      19.740  -5.402  -9.635  1.00 96.55           O  \\nATOM    739  N   ALA A  94      14.773  -7.615 -11.449  1.00 95.75           N  \\nATOM    740  CA  ALA A  94      13.603  -8.192 -10.792  1.00 95.75           C  \\nATOM    741  C   ALA A  94      13.625  -7.915  -9.291  1.00 95.75           C  \\nATOM    742  CB  ALA A  94      13.533  -9.695 -11.051  1.00 95.75           C  \\nATOM    743  O   ALA A  94      12.591  -7.605  -8.695  1.00 95.75           O  \\nATOM    744  N   ALA A  95      14.728  -7.979  -8.669  1.00 97.08           N  \\nATOM    745  CA  ALA A  95      14.883  -7.748  -7.235  1.00 97.08           C  \\nATOM    746  C   ALA A  95      14.565  -6.299  -6.875  1.00 97.08           C  \\nATOM    747  CB  ALA A  95      16.297  -8.106  -6.787  1.00 97.08           C  \\nATOM    748  O   ALA A  95      14.002  -6.025  -5.813  1.00 97.08           O  \\nATOM    749  N   ALA A  96      14.946  -5.360  -7.750  1.00 96.72           N  \\nATOM    750  CA  ALA A  96      14.671  -3.942  -7.536  1.00 96.72           C  \\nATOM    751  C   ALA A  96      13.170  -3.667  -7.540  1.00 96.72           C  \\nATOM    752  CB  ALA A  96      15.366  -3.098  -8.602  1.00 96.72           C  \\nATOM    753  O   ALA A  96      12.666  -2.928  -6.691  1.00 96.72           O  \\nATOM    754  N   LEU A  97      12.519  -4.265  -8.491  1.00 96.98           N  \\nATOM    755  CA  LEU A  97      11.074  -4.093  -8.594  1.00 96.98           C  \\nATOM    756  C   LEU A  97      10.369  -4.672  -7.372  1.00 96.98           C  \\nATOM    757  CB  LEU A  97      10.544  -4.760  -9.867  1.00 96.98           C  \\nATOM    758  O   LEU A  97       9.419  -4.076  -6.859  1.00 96.98           O  \\nATOM    759  CG  LEU A  97      10.900  -4.077 -11.188  1.00 96.98           C  \\nATOM    760  CD1 LEU A  97      10.478  -4.950 -12.366  1.00 96.98           C  \\nATOM    761  CD2 LEU A  97      10.246  -2.702 -11.274  1.00 96.98           C  \\nATOM    762  N   LEU A  98      10.882  -5.756  -6.912  1.00 97.12           N  \\nATOM    763  CA  LEU A  98      10.333  -6.373  -5.710  1.00 97.12           C  \\nATOM    764  C   LEU A  98      10.555  -5.483  -4.491  1.00 97.12           C  \\nATOM    765  CB  LEU A  98      10.966  -7.747  -5.475  1.00 97.12           C  \\nATOM    766  O   LEU A  98       9.657  -5.326  -3.661  1.00 97.12           O  \\nATOM    767  CG  LEU A  98      10.360  -8.591  -4.353  1.00 97.12           C  \\nATOM    768  CD1 LEU A  98      10.400 -10.070  -4.721  1.00 97.12           C  \\nATOM    769  CD2 LEU A  98      11.093  -8.342  -3.040  1.00 97.12           C  \\nATOM    770  N   ALA A  99      11.700  -4.982  -4.363  1.00 97.39           N  \\nATOM    771  CA  ALA A  99      12.027  -4.089  -3.254  1.00 97.39           C  \\nATOM    772  C   ALA A  99      11.130  -2.854  -3.261  1.00 97.39           C  \\nATOM    773  CB  ALA A  99      13.495  -3.677  -3.317  1.00 97.39           C  \\nATOM    774  O   ALA A  99      10.638  -2.431  -2.212  1.00 97.39           O  \\nATOM    775  N   LEU A 100      10.954  -2.310  -4.393  1.00 97.02           N  \\nATOM    776  CA  LEU A 100      10.094  -1.139  -4.529  1.00 97.02           C  \\nATOM    777  C   LEU A 100       8.658  -1.470  -4.136  1.00 97.02           C  \\nATOM    778  CB  LEU A 100      10.133  -0.610  -5.965  1.00 97.02           C  \\nATOM    779  O   LEU A 100       7.992  -0.672  -3.473  1.00 97.02           O  \\nATOM    780  CG  LEU A 100      11.372   0.195  -6.358  1.00 97.02           C  \\nATOM    781  CD1 LEU A 100      11.356   0.498  -7.852  1.00 97.02           C  \\nATOM    782  CD2 LEU A 100      11.452   1.484  -5.547  1.00 97.02           C  \\nATOM    783  N   GLN A 101       8.268  -2.609  -4.577  1.00 97.87           N  \\nATOM    784  CA  GLN A 101       6.914  -3.039  -4.245  1.00 97.87           C  \\nATOM    785  C   GLN A 101       6.755  -3.242  -2.741  1.00 97.87           C  \\nATOM    786  CB  GLN A 101       6.562  -4.328  -4.989  1.00 97.87           C  \\nATOM    787  O   GLN A 101       5.758  -2.817  -2.154  1.00 97.87           O  \\nATOM    788  CG  GLN A 101       5.121  -4.779  -4.789  1.00 97.87           C  \\nATOM    789  CD  GLN A 101       4.733  -5.926  -5.704  1.00 97.87           C  \\nATOM    790  NE2 GLN A 101       3.551  -6.489  -5.480  1.00 97.87           N  \\nATOM    791  OE1 GLN A 101       5.489  -6.301  -6.606  1.00 97.87           O  \\nATOM    792  N   GLU A 102       7.682  -3.931  -2.154  1.00 97.05           N  \\nATOM    793  CA  GLU A 102       7.640  -4.139  -0.710  1.00 97.05           C  \\nATOM    794  C   GLU A 102       7.585  -2.810   0.038  1.00 97.05           C  \\nATOM    795  CB  GLU A 102       8.852  -4.953  -0.249  1.00 97.05           C  \\nATOM    796  O   GLU A 102       6.806  -2.654   0.980  1.00 97.05           O  \\nATOM    797  CG  GLU A 102       8.808  -6.415  -0.669  1.00 97.05           C  \\nATOM    798  CD  GLU A 102       9.993  -7.221  -0.162  1.00 97.05           C  \\nATOM    799  OE1 GLU A 102       9.962  -8.469  -0.254  1.00 97.05           O  \\nATOM    800  OE2 GLU A 102      10.961  -6.599   0.331  1.00 97.05           O  \\nATOM    801  N   ALA A 103       8.392  -1.915  -0.338  1.00 96.60           N  \\nATOM    802  CA  ALA A 103       8.453  -0.603   0.302  1.00 96.60           C  \\nATOM    803  C   ALA A 103       7.151   0.166   0.102  1.00 96.60           C  \\nATOM    804  CB  ALA A 103       9.631   0.200  -0.243  1.00 96.60           C  \\nATOM    805  O   ALA A 103       6.648   0.801   1.033  1.00 96.60           O  \\nATOM    806  N   ALA A 104       6.677   0.171  -1.055  1.00 96.79           N  \\nATOM    807  CA  ALA A 104       5.442   0.881  -1.378  1.00 96.79           C  \\nATOM    808  C   ALA A 104       4.268   0.336  -0.570  1.00 96.79           C  \\nATOM    809  CB  ALA A 104       5.147   0.782  -2.873  1.00 96.79           C  \\nATOM    810  O   ALA A 104       3.499   1.102   0.014  1.00 96.79           O  \\nATOM    811  N   GLU A 105       4.095  -0.942  -0.544  1.00 96.51           N  \\nATOM    812  CA  GLU A 105       3.000  -1.562   0.196  1.00 96.51           C  \\nATOM    813  C   GLU A 105       3.140  -1.318   1.696  1.00 96.51           C  \\nATOM    814  CB  GLU A 105       2.941  -3.064  -0.089  1.00 96.51           C  \\nATOM    815  O   GLU A 105       2.145  -1.102   2.391  1.00 96.51           O  \\nATOM    816  CG  GLU A 105       2.439  -3.406  -1.485  1.00 96.51           C  \\nATOM    817  CD  GLU A 105       2.019  -4.859  -1.632  1.00 96.51           C  \\nATOM    818  OE1 GLU A 105       1.883  -5.338  -2.781  1.00 96.51           O  \\nATOM    819  OE2 GLU A 105       1.823  -5.525  -0.591  1.00 96.51           O  \\nATOM    820  N   ALA A 106       4.333  -1.412   2.147  1.00 95.06           N  \\nATOM    821  CA  ALA A 106       4.583  -1.108   3.554  1.00 95.06           C  \\nATOM    822  C   ALA A 106       4.165   0.321   3.889  1.00 95.06           C  \\nATOM    823  CB  ALA A 106       6.057  -1.321   3.890  1.00 95.06           C  \\nATOM    824  O   ALA A 106       3.577   0.571   4.944  1.00 95.06           O  \\nATOM    825  N   HIS A 107       4.520   1.175   3.007  1.00 94.18           N  \\nATOM    826  CA  HIS A 107       4.161   2.575   3.205  1.00 94.18           C  \\nATOM    827  C   HIS A 107       2.647   2.759   3.215  1.00 94.18           C  \\nATOM    828  CB  HIS A 107       4.789   3.448   2.117  1.00 94.18           C  \\nATOM    829  O   HIS A 107       2.109   3.464   4.072  1.00 94.18           O  \\nATOM    830  CG  HIS A 107       4.401   4.890   2.207  1.00 94.18           C  \\nATOM    831  CD2 HIS A 107       3.589   5.642   1.427  1.00 94.18           C  \\nATOM    832  ND1 HIS A 107       4.871   5.727   3.195  1.00 94.18           N  \\nATOM    833  CE1 HIS A 107       4.362   6.935   3.020  1.00 94.18           C  \\nATOM    834  NE2 HIS A 107       3.581   6.910   1.953  1.00 94.18           N  \\nATOM    835  N   LEU A 108       1.984   2.138   2.304  1.00 94.79           N  \\nATOM    836  CA  LEU A 108       0.532   2.252   2.208  1.00 94.79           C  \\nATOM    837  C   LEU A 108      -0.142   1.663   3.442  1.00 94.79           C  \\nATOM    838  CB  LEU A 108       0.021   1.547   0.948  1.00 94.79           C  \\nATOM    839  O   LEU A 108      -1.108   2.231   3.957  1.00 94.79           O  \\nATOM    840  CG  LEU A 108       0.356   2.217  -0.386  1.00 94.79           C  \\nATOM    841  CD1 LEU A 108      -0.114   1.347  -1.548  1.00 94.79           C  \\nATOM    842  CD2 LEU A 108      -0.274   3.604  -0.461  1.00 94.79           C  \\nATOM    843  N   VAL A 109       0.330   0.525   3.881  1.00 94.75           N  \\nATOM    844  CA  VAL A 109      -0.216  -0.116   5.073  1.00 94.75           C  \\nATOM    845  C   VAL A 109      -0.074   0.818   6.273  1.00 94.75           C  \\nATOM    846  CB  VAL A 109       0.480  -1.465   5.361  1.00 94.75           C  \\nATOM    847  O   VAL A 109      -1.023   1.004   7.038  1.00 94.75           O  \\nATOM    848  CG1 VAL A 109       0.044  -2.018   6.717  1.00 94.75           C  \\nATOM    849  CG2 VAL A 109       0.179  -2.468   4.250  1.00 94.75           C  \\nATOM    850  N   SER A 110       1.092   1.367   6.434  1.00 93.78           N  \\nATOM    851  CA  SER A 110       1.348   2.283   7.540  1.00 93.78           C  \\nATOM    852  C   SER A 110       0.449   3.512   7.459  1.00 93.78           C  \\nATOM    853  CB  SER A 110       2.815   2.713   7.551  1.00 93.78           C  \\nATOM    854  O   SER A 110      -0.074   3.973   8.475  1.00 93.78           O  \\nATOM    855  OG  SER A 110       3.058   3.645   8.591  1.00 93.78           O  \\nATOM    856  N   LEU A 111       0.281   4.062   6.254  1.00 94.28           N  \\nATOM    857  CA  LEU A 111      -0.572   5.224   6.031  1.00 94.28           C  \\nATOM    858  C   LEU A 111      -2.027   4.900   6.353  1.00 94.28           C  \\nATOM    859  CB  LEU A 111      -0.453   5.706   4.582  1.00 94.28           C  \\nATOM    860  O   LEU A 111      -2.712   5.687   7.011  1.00 94.28           O  \\nATOM    861  CG  LEU A 111      -1.225   6.977   4.225  1.00 94.28           C  \\nATOM    862  CD1 LEU A 111      -0.759   8.141   5.094  1.00 94.28           C  \\nATOM    863  CD2 LEU A 111      -1.056   7.307   2.746  1.00 94.28           C  \\nATOM    864  N   PHE A 112      -2.496   3.778   6.004  1.00 95.66           N  \\nATOM    865  CA  PHE A 112      -3.876   3.374   6.246  1.00 95.66           C  \\nATOM    866  C   PHE A 112      -4.109   3.104   7.728  1.00 95.66           C  \\nATOM    867  CB  PHE A 112      -4.225   2.129   5.424  1.00 95.66           C  \\nATOM    868  O   PHE A 112      -5.213   3.309   8.236  1.00 95.66           O  \\nATOM    869  CG  PHE A 112      -4.694   2.436   4.028  1.00 95.66           C  \\nATOM    870  CD1 PHE A 112      -6.002   2.840   3.792  1.00 95.66           C  \\nATOM    871  CD2 PHE A 112      -3.826   2.320   2.950  1.00 95.66           C  \\nATOM    872  CE1 PHE A 112      -6.440   3.124   2.501  1.00 95.66           C  \\nATOM    873  CE2 PHE A 112      -4.256   2.602   1.656  1.00 95.66           C  \\nATOM    874  CZ  PHE A 112      -5.563   3.003   1.434  1.00 95.66           C  \\nATOM    875  N   GLU A 113      -3.096   2.644   8.395  1.00 95.13           N  \\nATOM    876  CA  GLU A 113      -3.190   2.454   9.839  1.00 95.13           C  \\nATOM    877  C   GLU A 113      -3.427   3.780  10.556  1.00 95.13           C  \\nATOM    878  CB  GLU A 113      -1.923   1.784  10.377  1.00 95.13           C  \\nATOM    879  O   GLU A 113      -4.280   3.870  11.441  1.00 95.13           O  \\nATOM    880  CG  GLU A 113      -1.789   0.319   9.985  1.00 95.13           C  \\nATOM    881  CD  GLU A 113      -0.485  -0.309  10.451  1.00 95.13           C  \\nATOM    882  OE1 GLU A 113      -0.256  -1.508  10.174  1.00 95.13           O  \\nATOM    883  OE2 GLU A 113       0.313   0.403  11.100  1.00 95.13           O  \\nATOM    884  N   ASP A 114      -2.700   4.714  10.125  1.00 95.64           N  \\nATOM    885  CA  ASP A 114      -2.838   6.049  10.701  1.00 95.64           C  \\nATOM    886  C   ASP A 114      -4.193   6.660  10.351  1.00 95.64           C  \\nATOM    887  CB  ASP A 114      -1.709   6.961  10.218  1.00 95.64           C  \\nATOM    888  O   ASP A 114      -4.847   7.264  11.204  1.00 95.64           O  \\nATOM    889  CG  ASP A 114      -0.351   6.569  10.774  1.00 95.64           C  \\nATOM    890  OD1 ASP A 114      -0.294   5.831  11.780  1.00 95.64           O  \\nATOM    891  OD2 ASP A 114       0.671   7.006  10.201  1.00 95.64           O  \\nATOM    892  N   ALA A 115      -4.525   6.532   9.124  1.00 96.80           N  \\nATOM    893  CA  ALA A 115      -5.815   7.055   8.681  1.00 96.80           C  \\nATOM    894  C   ALA A 115      -6.965   6.384   9.428  1.00 96.80           C  \\nATOM    895  CB  ALA A 115      -5.979   6.862   7.175  1.00 96.80           C  \\nATOM    896  O   ALA A 115      -7.937   7.042   9.804  1.00 96.80           O  \\nATOM    897  N   ASN A 116      -6.795   5.079   9.584  1.00 96.45           N  \\nATOM    898  CA  ASN A 116      -7.803   4.334  10.331  1.00 96.45           C  \\nATOM    899  C   ASN A 116      -7.937   4.851  11.760  1.00 96.45           C  \\nATOM    900  CB  ASN A 116      -7.475   2.840  10.335  1.00 96.45           C  \\nATOM    901  O   ASN A 116      -9.049   4.998  12.270  1.00 96.45           O  \\nATOM    902  CG  ASN A 116      -8.585   1.999  10.933  1.00 96.45           C  \\nATOM    903  ND2 ASN A 116      -8.223   1.089  11.830  1.00 96.45           N  \\nATOM    904  OD1 ASN A 116      -9.759   2.166  10.593  1.00 96.45           O  \\nATOM    905  N   LEU A 117      -6.846   5.167  12.434  1.00 96.57           N  \\nATOM    906  CA  LEU A 117      -6.844   5.716  13.786  1.00 96.57           C  \\nATOM    907  C   LEU A 117      -7.543   7.071  13.823  1.00 96.57           C  \\nATOM    908  CB  LEU A 117      -5.411   5.853  14.306  1.00 96.57           C  \\nATOM    909  O   LEU A 117      -8.271   7.373  14.771  1.00 96.57           O  \\nATOM    910  CG  LEU A 117      -4.689   4.551  14.657  1.00 96.57           C  \\nATOM    911  CD1 LEU A 117      -3.246   4.837  15.059  1.00 96.57           C  \\nATOM    912  CD2 LEU A 117      -5.425   3.815  15.771  1.00 96.57           C  \\nATOM    913  N   CYS A 118      -7.369   7.856  12.786  1.00 96.84           N  \\nATOM    914  CA  CYS A 118      -8.036   9.149  12.677  1.00 96.84           C  \\nATOM    915  C   CYS A 118      -9.540   8.973  12.505  1.00 96.84           C  \\nATOM    916  CB  CYS A 118      -7.470   9.947  11.503  1.00 96.84           C  \\nATOM    917  O   CYS A 118     -10.327   9.724  13.084  1.00 96.84           O  \\nATOM    918  SG  CYS A 118      -5.779  10.527  11.765  1.00 96.84           S  \\nATOM    919  N   ALA A 119      -9.921   8.025  11.728  1.00 97.55           N  \\nATOM    920  CA  ALA A 119     -11.339   7.727  11.543  1.00 97.55           C  \\nATOM    921  C   ALA A 119     -11.985   7.299  12.858  1.00 97.55           C  \\nATOM    922  CB  ALA A 119     -11.521   6.641  10.486  1.00 97.55           C  \\nATOM    923  O   ALA A 119     -13.090   7.739  13.186  1.00 97.55           O  \\nATOM    924  N   LEU A 120     -11.224   6.453  13.608  1.00 96.73           N  \\nATOM    925  CA  LEU A 120     -11.710   5.963  14.893  1.00 96.73           C  \\nATOM    926  C   LEU A 120     -11.820   7.100  15.903  1.00 96.73           C  \\nATOM    927  CB  LEU A 120     -10.784   4.871  15.435  1.00 96.73           C  \\nATOM    928  O   LEU A 120     -12.761   7.141  16.699  1.00 96.73           O  \\nATOM    929  CG  LEU A 120     -10.840   3.519  14.722  1.00 96.73           C  \\nATOM    930  CD1 LEU A 120      -9.799   2.569  15.305  1.00 96.73           C  \\nATOM    931  CD2 LEU A 120     -12.237   2.917  14.825  1.00 96.73           C  \\nATOM    932  N   HIS A 121     -10.858   7.990  15.777  1.00 96.67           N  \\nATOM    933  CA  HIS A 121     -10.857   9.153  16.657  1.00 96.67           C  \\nATOM    934  C   HIS A 121     -12.092  10.019  16.426  1.00 96.67           C  \\nATOM    935  CB  HIS A 121      -9.589   9.982  16.449  1.00 96.67           C  \\nATOM    936  O   HIS A 121     -12.612  10.627  17.364  1.00 96.67           O  \\nATOM    937  CG  HIS A 121      -9.513  11.193  17.323  1.00 96.67           C  \\nATOM    938  CD2 HIS A 121      -9.640  12.509  17.031  1.00 96.67           C  \\nATOM    939  ND1 HIS A 121      -9.277  11.119  18.678  1.00 96.67           N  \\nATOM    940  CE1 HIS A 121      -9.263  12.341  19.184  1.00 96.67           C  \\nATOM    941  NE2 HIS A 121      -9.481  13.203  18.205  1.00 96.67           N  \\nATOM    942  N   ALA A 122     -12.659  10.033  15.266  1.00 97.16           N  \\nATOM    943  CA  ALA A 122     -13.818  10.830  14.872  1.00 97.16           C  \\nATOM    944  C   ALA A 122     -15.106  10.021  14.990  1.00 97.16           C  \\nATOM    945  CB  ALA A 122     -13.647  11.347  13.446  1.00 97.16           C  \\nATOM    946  O   ALA A 122     -16.158  10.443  14.505  1.00 97.16           O  \\nATOM    947  N   LYS A 123     -15.047   8.761  15.588  1.00 97.03           N  \\nATOM    948  CA  LYS A 123     -16.183   7.872  15.818  1.00 97.03           C  \\nATOM    949  C   LYS A 123     -16.779   7.390  14.499  1.00 97.03           C  \\nATOM    950  CB  LYS A 123     -17.255   8.576  16.651  1.00 97.03           C  \\nATOM    951  O   LYS A 123     -17.993   7.203  14.391  1.00 97.03           O  \\nATOM    952  CG  LYS A 123     -16.801   8.952  18.054  1.00 97.03           C  \\nATOM    953  CD  LYS A 123     -17.915   9.635  18.837  1.00 97.03           C  \\nATOM    954  CE  LYS A 123     -17.448  10.054  20.225  1.00 97.03           C  \\nATOM    955  NZ  LYS A 123     -18.537  10.721  20.998  1.00 97.03           N  \\nATOM    956  N   ARG A 124     -16.056   7.229  13.464  1.00 96.13           N  \\nATOM    957  CA  ARG A 124     -16.420   6.663  12.169  1.00 96.13           C  \\nATOM    958  C   ARG A 124     -15.677   5.356  11.915  1.00 96.13           C  \\nATOM    959  CB  ARG A 124     -16.127   7.660  11.046  1.00 96.13           C  \\nATOM    960  O   ARG A 124     -14.611   5.120  12.487  1.00 96.13           O  \\nATOM    961  CG  ARG A 124     -17.026   8.886  11.061  1.00 96.13           C  \\nATOM    962  CD  ARG A 124     -16.745   9.805   9.880  1.00 96.13           C  \\nATOM    963  NE  ARG A 124     -15.525  10.581  10.079  1.00 96.13           N  \\nATOM    964  NH1 ARG A 124     -14.154   9.103   8.951  1.00 96.13           N  \\nATOM    965  NH2 ARG A 124     -13.278  11.011   9.871  1.00 96.13           N  \\nATOM    966  CZ  ARG A 124     -14.322  10.230   9.634  1.00 96.13           C  \\nATOM    967  N   VAL A 125     -16.293   4.487  11.089  1.00 91.64           N  \\nATOM    968  CA  VAL A 125     -15.660   3.225  10.721  1.00 91.64           C  \\nATOM    969  C   VAL A 125     -15.225   3.272   9.258  1.00 91.64           C  \\nATOM    970  CB  VAL A 125     -16.604   2.025  10.959  1.00 91.64           C  \\nATOM    971  O   VAL A 125     -14.479   2.405   8.798  1.00 91.64           O  \\nATOM    972  CG1 VAL A 125     -16.848   1.818  12.452  1.00 91.64           C  \\nATOM    973  CG2 VAL A 125     -17.926   2.234  10.222  1.00 91.64           C  \\nATOM    974  N   THR A 126     -15.596   4.273   8.605  1.00 94.77           N  \\nATOM    975  CA  THR A 126     -15.257   4.486   7.203  1.00 94.77           C  \\nATOM    976  C   THR A 126     -14.104   5.476   7.069  1.00 94.77           C  \\nATOM    977  CB  THR A 126     -16.471   4.998   6.406  1.00 94.77           C  \\nATOM    978  O   THR A 126     -14.162   6.582   7.612  1.00 94.77           O  \\nATOM    979  CG2 THR A 126     -16.134   5.152   4.927  1.00 94.77           C  \\nATOM    980  OG1 THR A 126     -17.552   4.068   6.544  1.00 94.77           O  \\nATOM    981  N   ILE A 127     -13.117   5.147   6.331  1.00 95.88           N  \\nATOM    982  CA  ILE A 127     -11.969   6.017   6.098  1.00 95.88           C  \\nATOM    983  C   ILE A 127     -12.291   7.007   4.981  1.00 95.88           C  \\nATOM    984  CB  ILE A 127     -10.705   5.202   5.744  1.00 95.88           C  \\nATOM    985  O   ILE A 127     -12.785   6.617   3.920  1.00 95.88           O  \\nATOM    986  CG1 ILE A 127     -10.316   4.287   6.911  1.00 95.88           C  \\nATOM    987  CG2 ILE A 127      -9.549   6.134   5.370  1.00 95.88           C  \\nATOM    988  CD1 ILE A 127      -9.196   3.309   6.584  1.00 95.88           C  \\nATOM    989  N   MET A 128     -11.979   8.290   5.241  1.00 97.22           N  \\nATOM    990  CA  MET A 128     -12.240   9.370   4.294  1.00 97.22           C  \\nATOM    991  C   MET A 128     -10.945  10.077   3.906  1.00 97.22           C  \\nATOM    992  CB  MET A 128     -13.229  10.376   4.883  1.00 97.22           C  \\nATOM    993  O   MET A 128      -9.915   9.896   4.557  1.00 97.22           O  \\nATOM    994  CG  MET A 128     -14.591   9.781   5.204  1.00 97.22           C  \\nATOM    995  SD  MET A 128     -15.761  11.025   5.875  1.00 97.22           S  \\nATOM    996  CE  MET A 128     -17.282  10.037   5.929  1.00 97.22           C  \\nATOM    997  N   VAL A 129     -11.053  10.845   2.860  1.00 96.70           N  \\nATOM    998  CA  VAL A 129      -9.903  11.574   2.335  1.00 96.70           C  \\nATOM    999  C   VAL A 129      -9.340  12.497   3.413  1.00 96.70           C  \\nATOM   1000  CB  VAL A 129     -10.275  12.390   1.076  1.00 96.70           C  \\nATOM   1001  O   VAL A 129      -8.122  12.619   3.560  1.00 96.70           O  \\nATOM   1002  CG1 VAL A 129      -9.086  13.225   0.603  1.00 96.70           C  \\nATOM   1003  CG2 VAL A 129     -10.757  11.462  -0.037  1.00 96.70           C  \\nATOM   1004  N   ARG A 130     -10.144  13.100   4.278  1.00 96.00           N  \\nATOM   1005  CA  ARG A 130      -9.713  14.014   5.332  1.00 96.00           C  \\nATOM   1006  C   ARG A 130      -8.849  13.294   6.361  1.00 96.00           C  \\nATOM   1007  CB  ARG A 130     -10.923  14.653   6.018  1.00 96.00           C  \\nATOM   1008  O   ARG A 130      -7.985  13.908   6.992  1.00 96.00           O  \\nATOM   1009  CG  ARG A 130     -11.847  13.652   6.694  1.00 96.00           C  \\nATOM   1010  CD  ARG A 130     -13.053  14.335   7.324  1.00 96.00           C  \\nATOM   1011  NE  ARG A 130     -13.952  13.370   7.950  1.00 96.00           N  \\nATOM   1012  NH1 ARG A 130     -15.555  14.929   8.531  1.00 96.00           N  \\nATOM   1013  NH2 ARG A 130     -15.860  12.717   9.050  1.00 96.00           N  \\nATOM   1014  CZ  ARG A 130     -15.120  13.674   8.509  1.00 96.00           C  \\nATOM   1015  N   ASP A 131      -9.061  11.965   6.542  1.00 96.85           N  \\nATOM   1016  CA  ASP A 131      -8.262  11.160   7.461  1.00 96.85           C  \\nATOM   1017  C   ASP A 131      -6.830  11.008   6.954  1.00 96.85           C  \\nATOM   1018  CB  ASP A 131      -8.898   9.784   7.662  1.00 96.85           C  \\nATOM   1019  O   ASP A 131      -5.880  11.054   7.738  1.00 96.85           O  \\nATOM   1020  CG  ASP A 131     -10.305   9.857   8.228  1.00 96.85           C  \\nATOM   1021  OD1 ASP A 131     -10.549  10.660   9.154  1.00 96.85           O  \\nATOM   1022  OD2 ASP A 131     -11.178   9.104   7.745  1.00 96.85           O  \\nATOM   1023  N   PHE A 132      -6.742  10.909   5.664  1.00 94.81           N  \\nATOM   1024  CA  PHE A 132      -5.421  10.794   5.057  1.00 94.81           C  \\nATOM   1025  C   PHE A 132      -4.659  12.109   5.166  1.00 94.81           C  \\nATOM   1026  CB  PHE A 132      -5.538  10.376   3.588  1.00 94.81           C  \\nATOM   1027  O   PHE A 132      -3.457  12.115   5.442  1.00 94.81           O  \\nATOM   1028  CG  PHE A 132      -5.877   8.922   3.396  1.00 94.81           C  \\nATOM   1029  CD1 PHE A 132      -4.894   7.945   3.499  1.00 94.81           C  \\nATOM   1030  CD2 PHE A 132      -7.179   8.533   3.111  1.00 94.81           C  \\nATOM   1031  CE1 PHE A 132      -5.205   6.599   3.322  1.00 94.81           C  \\nATOM   1032  CE2 PHE A 132      -7.497   7.189   2.933  1.00 94.81           C  \\nATOM   1033  CZ  PHE A 132      -6.509   6.224   3.037  1.00 94.81           C  \\nATOM   1034  N   GLN A 133      -5.375  13.095   4.874  1.00 94.30           N  \\nATOM   1035  CA  GLN A 133      -4.777  14.423   4.944  1.00 94.30           C  \\nATOM   1036  C   GLN A 133      -4.252  14.717   6.346  1.00 94.30           C  \\nATOM   1037  CB  GLN A 133      -5.789  15.492   4.528  1.00 94.30           C  \\nATOM   1038  O   GLN A 133      -3.145  15.236   6.505  1.00 94.30           O  \\nATOM   1039  CG  GLN A 133      -6.176  15.432   3.056  1.00 94.30           C  \\nATOM   1040  CD  GLN A 133      -7.301  16.387   2.706  1.00 94.30           C  \\nATOM   1041  NE2 GLN A 133      -7.593  16.513   1.416  1.00 94.30           N  \\nATOM   1042  OE1 GLN A 133      -7.905  17.007   3.588  1.00 94.30           O  \\nATOM   1043  N   LEU A 134      -5.122  14.420   7.305  1.00 94.16           N  \\nATOM   1044  CA  LEU A 134      -4.734  14.623   8.697  1.00 94.16           C  \\nATOM   1045  C   LEU A 134      -3.554  13.731   9.068  1.00 94.16           C  \\nATOM   1046  CB  LEU A 134      -5.915  14.341   9.629  1.00 94.16           C  \\nATOM   1047  O   LEU A 134      -2.612  14.182   9.724  1.00 94.16           O  \\nATOM   1048  CG  LEU A 134      -5.658  14.531  11.125  1.00 94.16           C  \\nATOM   1049  CD1 LEU A 134      -5.221  15.964  11.410  1.00 94.16           C  \\nATOM   1050  CD2 LEU A 134      -6.903  14.176  11.931  1.00 94.16           C  \\nATOM   1051  N   ALA A 135      -3.623  12.457   8.706  1.00 94.20           N  \\nATOM   1052  CA  ALA A 135      -2.542  11.511   8.970  1.00 94.20           C  \\nATOM   1053  C   ALA A 135      -1.226  12.000   8.372  1.00 94.20           C  \\nATOM   1054  CB  ALA A 135      -2.894  10.132   8.416  1.00 94.20           C  \\nATOM   1055  O   ALA A 135      -0.175  11.909   9.010  1.00 94.20           O  \\nATOM   1056  N   ARG A 136      -1.217  12.518   7.207  1.00 92.34           N  \\nATOM   1057  CA  ARG A 136      -0.032  13.028   6.526  1.00 92.34           C  \\nATOM   1058  C   ARG A 136       0.507  14.273   7.223  1.00 92.34           C  \\nATOM   1059  CB  ARG A 136      -0.347  13.342   5.062  1.00 92.34           C  \\nATOM   1060  O   ARG A 136       1.720  14.493   7.262  1.00 92.34           O  \\nATOM   1061  CG  ARG A 136      -0.511  12.109   4.188  1.00 92.34           C  \\nATOM   1062  CD  ARG A 136      -0.857  12.476   2.752  1.00 92.34           C  \\nATOM   1063  NE  ARG A 136       0.263  13.123   2.076  1.00 92.34           N  \\nATOM   1064  NH1 ARG A 136      -0.995  13.921   0.310  1.00 92.34           N  \\nATOM   1065  NH2 ARG A 136       1.257  14.343   0.403  1.00 92.34           N  \\nATOM   1066  CZ  ARG A 136       0.173  13.794   0.931  1.00 92.34           C  \\nATOM   1067  N   ARG A 137      -0.388  15.047   7.691  1.00 91.88           N  \\nATOM   1068  CA  ARG A 137      -0.004  16.262   8.403  1.00 91.88           C  \\nATOM   1069  C   ARG A 137       0.686  15.928   9.722  1.00 91.88           C  \\nATOM   1070  CB  ARG A 137      -1.227  17.145   8.661  1.00 91.88           C  \\nATOM   1071  O   ARG A 137       1.682  16.558  10.084  1.00 91.88           O  \\nATOM   1072  CG  ARG A 137      -0.893  18.499   9.266  1.00 91.88           C  \\nATOM   1073  CD  ARG A 137      -2.109  19.414   9.308  1.00 91.88           C  \\nATOM   1074  NE  ARG A 137      -1.798  20.695   9.934  1.00 91.88           N  \\nATOM   1075  NH1 ARG A 137      -3.905  21.591   9.627  1.00 91.88           N  \\nATOM   1076  NH2 ARG A 137      -2.270  22.823  10.658  1.00 91.88           N  \\nATOM   1077  CZ  ARG A 137      -2.658  21.700  10.072  1.00 91.88           C  \\nATOM   1078  N   ILE A 138       0.127  14.932  10.433  1.00 92.17           N  \\nATOM   1079  CA  ILE A 138       0.666  14.538  11.730  1.00 92.17           C  \\nATOM   1080  C   ILE A 138       2.014  13.847  11.540  1.00 92.17           C  \\nATOM   1081  CB  ILE A 138      -0.310  13.611  12.489  1.00 92.17           C  \\nATOM   1082  O   ILE A 138       2.926  14.019  12.352  1.00 92.17           O  \\nATOM   1083  CG1 ILE A 138      -1.604  14.360  12.828  1.00 92.17           C  \\nATOM   1084  CG2 ILE A 138       0.348  13.055  13.755  1.00 92.17           C  \\nATOM   1085  CD1 ILE A 138      -2.698  13.474  13.408  1.00 92.17           C  \\nATOM   1086  N   ARG A 139       2.202  13.018  10.558  1.00 88.53           N  \\nATOM   1087  CA  ARG A 139       3.431  12.292  10.253  1.00 88.53           C  \\nATOM   1088  C   ARG A 139       4.563  13.253   9.905  1.00 88.53           C  \\nATOM   1089  CB  ARG A 139       3.205  11.310   9.101  1.00 88.53           C  \\nATOM   1090  O   ARG A 139       5.733  12.962  10.163  1.00 88.53           O  \\nATOM   1091  CG  ARG A 139       2.503  10.026   9.515  1.00 88.53           C  \\nATOM   1092  CD  ARG A 139       2.359   9.061   8.347  1.00 88.53           C  \\nATOM   1093  NE  ARG A 139       1.620   7.860   8.728  1.00 88.53           N  \\nATOM   1094  NH1 ARG A 139       2.503   6.536   7.053  1.00 88.53           N  \\nATOM   1095  NH2 ARG A 139       0.989   5.661   8.535  1.00 88.53           N  \\nATOM   1096  CZ  ARG A 139       1.706   6.688   8.104  1.00 88.53           C  \\nATOM   1097  N   GLY A 140       4.316  14.464   9.508  1.00 83.90           N  \\nATOM   1098  CA  GLY A 140       5.337  15.448   9.186  1.00 83.90           C  \\nATOM   1099  C   GLY A 140       5.795  15.383   7.741  1.00 83.90           C  \\nATOM   1100  O   GLY A 140       5.490  14.423   7.031  1.00 83.90           O  \\nATOM   1101  N   GLN A 141       6.296  16.526   7.088  1.00 68.35           N  \\nATOM   1102  CA  GLN A 141       6.733  16.765   5.716  1.00 68.35           C  \\nATOM   1103  C   GLN A 141       7.963  15.927   5.377  1.00 68.35           C  \\nATOM   1104  CB  GLN A 141       7.033  18.249   5.499  1.00 68.35           C  \\nATOM   1105  O   GLN A 141       8.255  15.691   4.203  1.00 68.35           O  \\nATOM   1106  CG  GLN A 141       5.794  19.135   5.510  1.00 68.35           C  \\nATOM   1107  CD  GLN A 141       6.126  20.609   5.373  1.00 68.35           C  \\nATOM   1108  NE2 GLN A 141       5.095  21.444   5.295  1.00 68.35           N  \\nATOM   1109  OE1 GLN A 141       7.298  20.995   5.338  1.00 68.35           O  \\nATOM   1110  N   SER A 142       8.549  15.219   6.350  1.00 64.49           N  \\nATOM   1111  CA  SER A 142       9.843  14.572   6.165  1.00 64.49           C  \\nATOM   1112  C   SER A 142       9.679  13.104   5.787  1.00 64.49           C  \\nATOM   1113  CB  SER A 142      10.687  14.688   7.435  1.00 64.49           C  \\nATOM   1114  O   SER A 142      10.574  12.509   5.184  1.00 64.49           O  \\nATOM   1115  OG  SER A 142      11.161  16.014   7.605  1.00 64.49           O  \\nATOM   1116  N   ARG A 143       8.446  12.544   5.734  1.00 58.25           N  \\nATOM   1117  CA  ARG A 143       8.196  11.132   5.460  1.00 58.25           C  \\nATOM   1118  C   ARG A 143       7.465  10.953   4.134  1.00 58.25           C  \\nATOM   1119  CB  ARG A 143       7.386  10.500   6.594  1.00 58.25           C  \\nATOM   1120  O   ARG A 143       7.236   9.825   3.693  1.00 58.25           O  \\nATOM   1121  CG  ARG A 143       8.162  10.344   7.893  1.00 58.25           C  \\nATOM   1122  CD  ARG A 143       7.523   9.311   8.811  1.00 58.25           C  \\nATOM   1123  NE  ARG A 143       8.449   8.868   9.849  1.00 58.25           N  \\nATOM   1124  NH1 ARG A 143       6.913   7.527  10.936  1.00 58.25           N  \\nATOM   1125  NH2 ARG A 143       9.058   7.694  11.727  1.00 58.25           N  \\nATOM   1126  CZ  ARG A 143       8.138   8.031  10.835  1.00 58.25           C  \\nATOM   1127  N   GLU A 144       7.386  11.993   3.246  1.00 53.54           N  \\nATOM   1128  CA  GLU A 144       6.838  11.892   1.897  1.00 53.54           C  \\nATOM   1129  C   GLU A 144       7.935  12.030   0.845  1.00 53.54           C  \\nATOM   1130  CB  GLU A 144       5.759  12.954   1.674  1.00 53.54           C  \\nATOM   1131  O   GLU A 144       8.945  12.696   1.077  1.00 53.54           O  \\nATOM   1132  CG  GLU A 144       4.512  12.753   2.523  1.00 53.54           C  \\nATOM   1133  CD  GLU A 144       3.417  13.766   2.232  1.00 53.54           C  \\nATOM   1134  OE1 GLU A 144       2.306  13.638   2.795  1.00 53.54           O  \\nATOM   1135  OE2 GLU A 144       3.672  14.695   1.433  1.00 53.54           O  \\n\",\"pdb\");\n\tviewer_1633513527331648.setStyle({\"cartoon\": {\"colorscheme\": {\"prop\": \"b\", \"gradient\": \"roygb\", \"min\": 50, \"max\": 90}}});\n\tviewer_1633513527331648.zoomTo();\nviewer_1633513527331648.render();\n});\n</script>",
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              "        <p id=\"3dmolwarning_1633513527331648\" 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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              "viewer_1633513527331648.zoomTo();\n",
              "\tviewer_1633513527331648.addModel(\"ATOM      1  N   MET A   1      20.571 -43.392 -11.539  1.00 39.91           N  \\nATOM      2  CA  MET A   1      20.969 -44.720 -11.997  1.00 39.91           C  \\nATOM      3  C   MET A   1      19.973 -45.778 -11.531  1.00 39.91           C  \\nATOM      4  CB  MET A   1      22.372 -45.065 -11.495  1.00 39.91           C  \\nATOM      5  O   MET A   1      19.764 -45.952 -10.330  1.00 39.91           O  \\nATOM      6  CG  MET A   1      23.485 -44.355 -12.249  1.00 39.91           C  \\nATOM      7  SD  MET A   1      24.693 -45.524 -12.984  1.00 39.91           S  \\nATOM      8  CE  MET A   1      25.938 -44.355 -13.596  1.00 39.91           C  \\nATOM      9  N   ALA A   2      18.845 -45.857 -12.260  1.00 40.33           N  \\nATOM     10  CA  ALA A   2      18.234 -46.654 -13.321  1.00 40.33           C  \\nATOM     11  C   ALA A   2      16.772 -46.954 -13.007  1.00 40.33           C  \\nATOM     12  CB  ALA A   2      19.010 -47.953 -13.524  1.00 40.33           C  \\nATOM     13  O   ALA A   2      16.469 -47.649 -12.035  1.00 40.33           O  \\nATOM     14  N   ARG A   3      15.724 -46.154 -13.565  1.00 36.48           N  \\nATOM     15  CA  ARG A   3      14.785 -45.992 -14.670  1.00 36.48           C  \\nATOM     16  C   ARG A   3      14.140 -47.323 -15.040  1.00 36.48           C  \\nATOM     17  CB  ARG A   3      15.487 -45.393 -15.890  1.00 36.48           C  \\nATOM     18  O   ARG A   3      14.838 -48.306 -15.300  1.00 36.48           O  \\nATOM     19  CG  ARG A   3      14.673 -44.329 -16.609  1.00 36.48           C  \\nATOM     20  CD  ARG A   3      15.450 -43.707 -17.761  1.00 36.48           C  \\nATOM     21  NE  ARG A   3      14.630 -42.764 -18.517  1.00 36.48           N  \\nATOM     22  NH1 ARG A   3      16.413 -41.744 -19.576  1.00 36.48           N  \\nATOM     23  NH2 ARG A   3      14.271 -41.046 -19.998  1.00 36.48           N  \\nATOM     24  CZ  ARG A   3      15.106 -41.854 -19.362  1.00 36.48           C  \\nATOM     25  N   LEU A   4      12.748 -47.352 -15.023  1.00 44.50           N  \\nATOM     26  CA  LEU A   4      11.632 -47.156 -15.941  1.00 44.50           C  \\nATOM     27  C   LEU A   4      10.897 -48.468 -16.192  1.00 44.50           C  \\nATOM     28  CB  LEU A   4      12.126 -46.573 -17.268  1.00 44.50           C  \\nATOM     29  O   LEU A   4      11.523 -49.490 -16.483  1.00 44.50           O  \\nATOM     30  CG  LEU A   4      12.099 -45.049 -17.391  1.00 44.50           C  \\nATOM     31  CD1 LEU A   4      13.476 -44.525 -17.785  1.00 44.50           C  \\nATOM     32  CD2 LEU A   4      11.045 -44.612 -18.403  1.00 44.50           C  \\nATOM     33  N   LYS A   5       9.623 -48.466 -16.029  1.00 44.98           N  \\nATOM     34  CA  LYS A   5       8.547 -48.174 -16.972  1.00 44.98           C  \\nATOM     35  C   LYS A   5       7.557 -49.333 -17.051  1.00 44.98           C  \\nATOM     36  CB  LYS A   5       9.116 -47.875 -18.360  1.00 44.98           C  \\nATOM     37  O   LYS A   5       7.957 -50.491 -17.186  1.00 44.98           O  \\nATOM     38  CG  LYS A   5       9.259 -46.391 -18.664  1.00 44.98           C  \\nATOM     39  CD  LYS A   5       9.580 -46.149 -20.133  1.00 44.98           C  \\nATOM     40  CE  LYS A   5       9.795 -44.670 -20.423  1.00 44.98           C  \\nATOM     41  NZ  LYS A   5      10.096 -44.427 -21.865  1.00 44.98           N  \\nATOM     42  N   HIS A   6       6.329 -49.050 -16.784  1.00 46.27           N  \\nATOM     43  CA  HIS A   6       5.327 -49.145 -17.841  1.00 46.27           C  \\nATOM     44  C   HIS A   6       3.917 -49.007 -17.277  1.00 46.27           C  \\nATOM     45  CB  HIS A   6       5.465 -50.471 -18.592  1.00 46.27           C  \\nATOM     46  O   HIS A   6       3.542 -49.727 -16.349  1.00 46.27           O  \\nATOM     47  CG  HIS A   6       6.363 -50.394 -19.786  1.00 46.27           C  \\nATOM     48  CD2 HIS A   6       7.225 -51.296 -20.310  1.00 46.27           C  \\nATOM     49  ND1 HIS A   6       6.438 -49.276 -20.588  1.00 46.27           N  \\nATOM     50  CE1 HIS A   6       7.310 -49.496 -21.558  1.00 46.27           C  \\nATOM     51  NE2 HIS A   6       7.801 -50.715 -21.412  1.00 46.27           N  \\nATOM     52  N   THR A   7       3.212 -47.851 -17.578  1.00 38.70           N  \\nATOM     53  CA  THR A   7       2.194 -47.183 -18.382  1.00 38.70           C  \\nATOM     54  C   THR A   7       0.862 -47.924 -18.291  1.00 38.70           C  \\nATOM     55  CB  THR A   7       2.626 -47.077 -19.856  1.00 38.70           C  \\nATOM     56  O   THR A   7       0.830 -49.156 -18.281  1.00 38.70           O  \\nATOM     57  CG2 THR A   7       3.993 -46.413 -19.982  1.00 38.70           C  \\nATOM     58  OG1 THR A   7       2.691 -48.391 -20.424  1.00 38.70           O  \\nATOM     59  N   LYS A   8      -0.253 -47.183 -17.998  1.00 36.67           N  \\nATOM     60  CA  LYS A   8      -1.268 -46.443 -18.741  1.00 36.67           C  \\nATOM     61  C   LYS A   8      -2.637 -47.104 -18.610  1.00 36.67           C  \\nATOM     62  CB  LYS A   8      -0.879 -46.332 -20.216  1.00 36.67           C  \\nATOM     63  O   LYS A   8      -2.780 -48.303 -18.861  1.00 36.67           O  \\nATOM     64  CG  LYS A   8       0.155 -45.254 -20.504  1.00 36.67           C  \\nATOM     65  CD  LYS A   8       0.350 -45.052 -22.001  1.00 36.67           C  \\nATOM     66  CE  LYS A   8       1.394 -43.982 -22.291  1.00 36.67           C  \\nATOM     67  NZ  LYS A   8       1.653 -43.842 -23.755  1.00 36.67           N  \\nATOM     68  N   ASN A   9      -3.605 -46.371 -18.050  1.00 39.33           N  \\nATOM     69  CA  ASN A   9      -4.766 -45.556 -18.390  1.00 39.33           C  \\nATOM     70  C   ASN A   9      -5.886 -46.399 -18.993  1.00 39.33           C  \\nATOM     71  CB  ASN A   9      -4.371 -44.433 -19.352  1.00 39.33           C  \\nATOM     72  O   ASN A   9      -5.657 -47.165 -19.930  1.00 39.33           O  \\nATOM     73  CG  ASN A   9      -3.897 -43.187 -18.631  1.00 39.33           C  \\nATOM     74  ND2 ASN A   9      -3.427 -42.205 -19.391  1.00 39.33           N  \\nATOM     75  OD1 ASN A   9      -3.952 -43.107 -17.401  1.00 39.33           O  \\nATOM     76  N   LYS A  10      -7.025 -46.407 -18.369  1.00 35.71           N  \\nATOM     77  CA  LYS A  10      -8.392 -45.895 -18.359  1.00 35.71           C  \\nATOM     78  C   LYS A  10      -9.260 -46.624 -19.380  1.00 35.71           C  \\nATOM     79  CB  LYS A  10      -8.404 -44.391 -18.641  1.00 35.71           C  \\nATOM     80  O   LYS A  10      -8.857 -46.803 -20.531  1.00 35.71           O  \\nATOM     81  CG  LYS A  10      -9.057 -43.562 -17.545  1.00 35.71           C  \\nATOM     82  CD  LYS A  10      -9.049 -42.077 -17.888  1.00 35.71           C  \\nATOM     83  CE  LYS A  10      -9.708 -41.247 -16.795  1.00 35.71           C  \\nATOM     84  NZ  LYS A  10      -9.534 -39.782 -17.032  1.00 35.71           N  \\nATOM     85  N   ALA A  11     -10.381 -47.221 -18.875  1.00 36.40           N  \\nATOM     86  CA  ALA A  11     -11.602 -46.912 -19.614  1.00 36.40           C  \\nATOM     87  C   ALA A  11     -12.711 -47.905 -19.281  1.00 36.40           C  \\nATOM     88  CB  ALA A  11     -11.328 -46.909 -21.116  1.00 36.40           C  \\nATOM     89  O   ALA A  11     -12.458 -49.103 -19.135  1.00 36.40           O  \\nATOM     90  N   VAL A  12     -13.878 -47.454 -18.851  1.00 33.92           N  \\nATOM     91  CA  VAL A  12     -14.881 -48.464 -19.171  1.00 33.92           C  \\nATOM     92  C   VAL A  12     -16.017 -47.828 -19.970  1.00 33.92           C  \\nATOM     93  CB  VAL A  12     -15.437 -49.136 -17.896  1.00 33.92           C  \\nATOM     94  O   VAL A  12     -16.560 -46.794 -19.575  1.00 33.92           O  \\nATOM     95  CG1 VAL A  12     -16.671 -49.976 -18.223  1.00 33.92           C  \\nATOM     96  CG2 VAL A  12     -14.362 -49.996 -17.235  1.00 33.92           C  \\nATOM     97  N   GLY A  13     -16.259 -48.129 -21.243  1.00 40.58           N  \\nATOM     98  CA  GLY A  13     -17.003 -48.738 -22.334  1.00 40.58           C  \\nATOM     99  C   GLY A  13     -18.266 -49.442 -21.876  1.00 40.58           C  \\nATOM    100  O   GLY A  13     -18.291 -50.047 -20.802  1.00 40.58           O  \\nATOM    101  N   GLY A  14     -19.500 -49.191 -22.372  1.00 33.98           N  \\nATOM    102  CA  GLY A  14     -20.706 -49.929 -22.712  1.00 33.98           C  \\nATOM    103  C   GLY A  14     -20.480 -50.982 -23.780  1.00 33.98           C  \\nATOM    104  O   GLY A  14     -19.820 -50.720 -24.788  1.00 33.98           O  \\nATOM    105  N   SER A  15     -20.587 -52.286 -23.405  1.00 35.00           N  \\nATOM    106  CA  SER A  15     -21.757 -53.157 -23.386  1.00 35.00           C  \\nATOM    107  C   SER A  15     -21.378 -54.599 -23.708  1.00 35.00           C  \\nATOM    108  CB  SER A  15     -22.809 -52.663 -24.381  1.00 35.00           C  \\nATOM    109  O   SER A  15     -20.642 -54.854 -24.664  1.00 35.00           O  \\nATOM    110  OG  SER A  15     -23.357 -53.746 -25.113  1.00 35.00           O  \\nATOM    111  N   LYS A  16     -21.656 -55.601 -22.794  1.00 35.92           N  \\nATOM    112  CA  LYS A  16     -22.723 -56.587 -22.654  1.00 35.92           C  \\nATOM    113  C   LYS A  16     -22.154 -57.984 -22.423  1.00 35.92           C  \\nATOM    114  CB  LYS A  16     -23.621 -56.586 -23.893  1.00 35.92           C  \\nATOM    115  O   LYS A  16     -21.315 -58.454 -23.195  1.00 35.92           O  \\nATOM    116  CG  LYS A  16     -24.729 -55.544 -23.852  1.00 35.92           C  \\nATOM    117  CD  LYS A  16     -25.738 -55.757 -24.974  1.00 35.92           C  \\nATOM    118  CE  LYS A  16     -26.805 -54.672 -24.981  1.00 35.92           C  \\nATOM    119  NZ  LYS A  16     -27.710 -54.792 -26.163  1.00 35.92           N  \\nATOM    120  N   SER A  17     -22.329 -58.659 -21.217  1.00 36.19           N  \\nATOM    121  CA  SER A  17     -23.164 -59.679 -20.592  1.00 36.19           C  \\nATOM    122  C   SER A  17     -22.437 -61.018 -20.516  1.00 36.19           C  \\nATOM    123  CB  SER A  17     -24.475 -59.844 -21.362  1.00 36.19           C  \\nATOM    124  O   SER A  17     -21.798 -61.439 -21.482  1.00 36.19           O  \\nATOM    125  OG  SER A  17     -24.367 -60.882 -22.322  1.00 36.19           O  \\nATOM    126  N   THR A  18     -22.153 -61.630 -19.281  1.00 42.22           N  \\nATOM    127  CA  THR A  18     -22.699 -62.895 -18.802  1.00 42.22           C  \\nATOM    128  C   THR A  18     -21.733 -63.568 -17.832  1.00 42.22           C  \\nATOM    129  CB  THR A  18     -23.007 -63.849 -19.970  1.00 42.22           C  \\nATOM    130  O   THR A  18     -20.532 -63.649 -18.100  1.00 42.22           O  \\nATOM    131  CG2 THR A  18     -24.279 -63.433 -20.701  1.00 42.22           C  \\nATOM    132  OG1 THR A  18     -21.911 -63.833 -20.894  1.00 42.22           O  \\nATOM    133  N   LYS A  19     -21.953 -63.600 -16.463  1.00 40.28           N  \\nATOM    134  CA  LYS A  19     -22.321 -64.727 -15.611  1.00 40.28           C  \\nATOM    135  C   LYS A  19     -21.194 -65.075 -14.643  1.00 40.28           C  \\nATOM    136  CB  LYS A  19     -22.676 -65.948 -16.461  1.00 40.28           C  \\nATOM    137  O   LYS A  19     -20.111 -65.486 -15.064  1.00 40.28           O  \\nATOM    138  CG  LYS A  19     -24.141 -66.013 -16.869  1.00 40.28           C  \\nATOM    139  CD  LYS A  19     -24.447 -67.284 -17.652  1.00 40.28           C  \\nATOM    140  CE  LYS A  19     -25.901 -67.327 -18.102  1.00 40.28           C  \\nATOM    141  NZ  LYS A  19     -26.182 -68.521 -18.955  1.00 40.28           N  \\nATOM    142  N   SER A  20     -21.126 -64.642 -13.424  1.00 40.68           N  \\nATOM    143  CA  SER A  20     -20.847 -64.857 -12.008  1.00 40.68           C  \\nATOM    144  C   SER A  20     -20.054 -66.141 -11.790  1.00 40.68           C  \\nATOM    145  CB  SER A  20     -22.149 -64.910 -11.207  1.00 40.68           C  \\nATOM    146  O   SER A  20     -20.260 -67.132 -12.495  1.00 40.68           O  \\nATOM    147  OG  SER A  20     -22.682 -63.609 -11.028  1.00 40.68           O  \\nATOM    148  N   PRO A  21     -19.360 -66.404 -10.457  1.00 44.28           N  \\nATOM    149  CA  PRO A  21     -19.390 -66.097  -9.025  1.00 44.28           C  \\nATOM    150  C   PRO A  21     -18.113 -66.524  -8.304  1.00 44.28           C  \\nATOM    151  CB  PRO A  21     -20.595 -66.894  -8.518  1.00 44.28           C  \\nATOM    152  O   PRO A  21     -17.374 -67.377  -8.802  1.00 44.28           O  \\nATOM    153  CG  PRO A  21     -20.610 -68.135  -9.351  1.00 44.28           C  \\nATOM    154  CD  PRO A  21     -19.550 -68.014 -10.407  1.00 44.28           C  \\nATOM    155  N   ARG A  22     -17.569 -65.734  -7.394  1.00 40.60           N  \\nATOM    156  CA  ARG A  22     -17.556 -65.846  -5.939  1.00 40.60           C  \\nATOM    157  C   ARG A  22     -16.181 -66.270  -5.435  1.00 40.60           C  \\nATOM    158  CB  ARG A  22     -18.617 -66.841  -5.466  1.00 40.60           C  \\nATOM    159  O   ARG A  22     -15.642 -67.291  -5.869  1.00 40.60           O  \\nATOM    160  CG  ARG A  22     -19.011 -66.675  -4.007  1.00 40.60           C  \\nATOM    161  CD  ARG A  22     -20.191 -67.562  -3.637  1.00 40.60           C  \\nATOM    162  NE  ARG A  22     -20.527 -67.449  -2.221  1.00 40.60           N  \\nATOM    163  NH1 ARG A  22     -22.402 -68.794  -2.346  1.00 40.60           N  \\nATOM    164  NH2 ARG A  22     -21.782 -67.867  -0.343  1.00 40.60           N  \\nATOM    165  CZ  ARG A  22     -21.570 -68.037  -1.640  1.00 40.60           C  \\nATOM    166  N   LYS A  23     -15.460 -65.423  -4.631  1.00 48.28           N  \\nATOM    167  CA  LYS A  23     -15.257 -65.453  -3.186  1.00 48.28           C  \\nATOM    168  C   LYS A  23     -13.771 -65.462  -2.839  1.00 48.28           C  \\nATOM    169  CB  LYS A  23     -15.946 -66.673  -2.572  1.00 48.28           C  \\nATOM    170  O   LYS A  23     -13.020 -66.308  -3.328  1.00 48.28           O  \\nATOM    171  CG  LYS A  23     -17.251 -66.352  -1.857  1.00 48.28           C  \\nATOM    172  CD  LYS A  23     -17.830 -67.584  -1.173  1.00 48.28           C  \\nATOM    173  CE  LYS A  23     -19.218 -67.310  -0.610  1.00 48.28           C  \\nATOM    174  NZ  LYS A  23     -19.769 -68.498   0.108  1.00 48.28           N  \\nATOM    175  N   THR A  24     -13.237 -64.418  -2.121  1.00 45.47           N  \\nATOM    176  CA  THR A  24     -13.074 -64.213  -0.686  1.00 45.47           C  \\nATOM    177  C   THR A  24     -11.618 -63.911  -0.345  1.00 45.47           C  \\nATOM    178  CB  THR A  24     -13.546 -65.444   0.111  1.00 45.47           C  \\nATOM    179  O   THR A  24     -10.706 -64.553  -0.869  1.00 45.47           O  \\nATOM    180  CG2 THR A  24     -15.045 -65.667  -0.059  1.00 45.47           C  \\nATOM    181  OG1 THR A  24     -12.846 -66.604  -0.355  1.00 45.47           O  \\nATOM    182  N   LEU A  25     -11.325 -62.700   0.310  1.00 45.62           N  \\nATOM    183  CA  LEU A  25     -11.181 -62.372   1.724  1.00 45.62           C  \\nATOM    184  C   LEU A  25      -9.830 -61.718   1.996  1.00 45.62           C  \\nATOM    185  CB  LEU A  25     -11.335 -63.630   2.584  1.00 45.62           C  \\nATOM    186  O   LEU A  25      -8.786 -62.273   1.647  1.00 45.62           O  \\nATOM    187  CG  LEU A  25     -12.758 -63.985   3.016  1.00 45.62           C  \\nATOM    188  CD1 LEU A  25     -13.135 -65.373   2.508  1.00 45.62           C  \\nATOM    189  CD2 LEU A  25     -12.890 -63.912   4.534  1.00 45.62           C  \\nATOM    190  N   ALA A  26      -9.811 -60.347   2.325  1.00 48.01           N  \\nATOM    191  CA  ALA A  26      -9.442 -59.888   3.661  1.00 48.01           C  \\nATOM    192  C   ALA A  26      -9.059 -58.411   3.648  1.00 48.01           C  \\nATOM    193  CB  ALA A  26      -8.291 -60.727   4.213  1.00 48.01           C  \\nATOM    194  O   ALA A  26      -8.173 -58.000   2.896  1.00 48.01           O  \\nATOM    195  N   SER A  27      -9.881 -57.439   4.199  1.00 49.36           N  \\nATOM    196  CA  SER A  27     -10.333 -56.694   5.369  1.00 49.36           C  \\nATOM    197  C   SER A  27      -9.219 -55.819   5.932  1.00 49.36           C  \\nATOM    198  CB  SER A  27     -10.839 -57.650   6.451  1.00 49.36           C  \\nATOM    199  O   SER A  27      -8.120 -56.305   6.208  1.00 49.36           O  \\nATOM    200  OG  SER A  27      -9.775 -58.067   7.290  1.00 49.36           O  \\nATOM    201  N   ARG A  28      -9.380 -54.432   5.825  1.00 49.16           N  \\nATOM    202  CA  ARG A  28      -9.371 -53.575   7.006  1.00 49.16           C  \\nATOM    203  C   ARG A  28     -10.205 -52.319   6.777  1.00 49.16           C  \\nATOM    204  CB  ARG A  28      -7.938 -53.190   7.381  1.00 49.16           C  \\nATOM    205  O   ARG A  28      -9.937 -51.549   5.853  1.00 49.16           O  \\nATOM    206  CG  ARG A  28      -7.321 -54.081   8.448  1.00 49.16           C  \\nATOM    207  CD  ARG A  28      -5.893 -53.664   8.774  1.00 49.16           C  \\nATOM    208  NE  ARG A  28      -5.651 -53.652  10.214  1.00 49.16           N  \\nATOM    209  NH1 ARG A  28      -3.362 -53.397  10.035  1.00 49.16           N  \\nATOM    210  NH2 ARG A  28      -4.347 -53.528  12.101  1.00 49.16           N  \\nATOM    211  CZ  ARG A  28      -4.454 -53.526  10.780  1.00 49.16           C  \\nATOM    212  N   GLN A  29     -11.447 -52.207   7.262  1.00 48.19           N  \\nATOM    213  CA  GLN A  29     -12.299 -51.654   8.310  1.00 48.19           C  \\nATOM    214  C   GLN A  29     -11.866 -50.239   8.682  1.00 48.19           C  \\nATOM    215  CB  GLN A  29     -12.279 -52.551   9.548  1.00 48.19           C  \\nATOM    216  O   GLN A  29     -10.712 -50.014   9.053  1.00 48.19           O  \\nATOM    217  CG  GLN A  29     -13.663 -52.948  10.044  1.00 48.19           C  \\nATOM    218  CD  GLN A  29     -13.664 -54.270  10.788  1.00 48.19           C  \\nATOM    219  NE2 GLN A  29     -14.832 -54.895  10.884  1.00 48.19           N  \\nATOM    220  OE1 GLN A  29     -12.623 -54.726  11.271  1.00 48.19           O  \\nATOM    221  N   GLY A  30     -12.665 -49.218   8.256  1.00 46.38           N  \\nATOM    222  CA  GLY A  30     -13.415 -48.408   9.204  1.00 46.38           C  \\nATOM    223  C   GLY A  30     -14.115 -47.228   8.558  1.00 46.38           C  \\nATOM    224  O   GLY A  30     -13.474 -46.399   7.908  1.00 46.38           O  \\nATOM    225  N   GLY A  31     -15.360 -47.446   8.240  1.00 48.10           N  \\nATOM    226  CA  GLY A  31     -16.491 -47.008   9.042  1.00 48.10           C  \\nATOM    227  C   GLY A  31     -17.286 -45.890   8.393  1.00 48.10           C  \\nATOM    228  O   GLY A  31     -16.727 -44.852   8.033  1.00 48.10           O  \\nATOM    229  N   GLY A  32     -18.358 -46.161   7.602  1.00 37.49           N  \\nATOM    230  CA  GLY A  32     -19.760 -46.079   7.980  1.00 37.49           C  \\nATOM    231  C   GLY A  32     -20.342 -44.688   7.817  1.00 37.49           C  \\nATOM    232  O   GLY A  32     -19.776 -43.711   8.312  1.00 37.49           O  \\nATOM    233  N   GLY A  33     -20.985 -44.370   6.703  1.00 44.39           N  \\nATOM    234  CA  GLY A  33     -22.346 -43.934   6.970  1.00 44.39           C  \\nATOM    235  C   GLY A  33     -22.943 -43.116   5.840  1.00 44.39           C  \\nATOM    236  O   GLY A  33     -22.280 -42.234   5.289  1.00 44.39           O  \\nATOM    237  N   SER A  34     -23.650 -43.670   4.948  1.00 46.55           N  \\nATOM    238  CA  SER A  34     -25.065 -43.613   4.595  1.00 46.55           C  \\nATOM    239  C   SER A  34     -25.378 -42.370   3.769  1.00 46.55           C  \\nATOM    240  CB  SER A  34     -25.933 -43.631   5.853  1.00 46.55           C  \\nATOM    241  O   SER A  34     -25.016 -41.256   4.152  1.00 46.55           O  \\nATOM    242  OG  SER A  34     -25.243 -44.237   6.932  1.00 46.55           O  \\nATOM    243  N   ALA A  35     -25.233 -42.415   2.530  1.00 44.68           N  \\nATOM    244  CA  ALA A  35     -26.076 -41.885   1.461  1.00 44.68           C  \\nATOM    245  C   ALA A  35     -27.430 -41.435   2.002  1.00 44.68           C  \\nATOM    246  CB  ALA A  35     -26.266 -42.931   0.366  1.00 44.68           C  \\nATOM    247  O   ALA A  35     -28.265 -42.264   2.371  1.00 44.68           O  \\nATOM    248  N   ASP A  36     -27.439 -40.540   3.104  1.00 52.01           N  \\nATOM    249  CA  ASP A  36     -28.586 -39.800   3.621  1.00 52.01           C  \\nATOM    250  C   ASP A  36     -28.859 -38.554   2.782  1.00 52.01           C  \\nATOM    251  CB  ASP A  36     -28.358 -39.410   5.083  1.00 52.01           C  \\nATOM    252  O   ASP A  36     -27.938 -37.802   2.459  1.00 52.01           O  \\nATOM    253  CG  ASP A  36     -29.639 -39.014   5.798  1.00 52.01           C  \\nATOM    254  OD1 ASP A  36     -30.676 -39.684   5.607  1.00 52.01           O  \\nATOM    255  OD2 ASP A  36     -29.610 -38.020   6.556  1.00 52.01           O  \\nATOM    256  N   GLY A  37     -29.548 -38.546   1.653  1.00 48.40           N  \\nATOM    257  CA  GLY A  37     -30.608 -37.600   1.342  1.00 48.40           C  \\nATOM    258  C   GLY A  37     -30.458 -36.276   2.068  1.00 48.40           C  \\nATOM    259  O   GLY A  37     -31.452 -35.632   2.407  1.00 48.40           O  \\nATOM    260  N   GLY A  38     -29.266 -35.592   2.196  1.00 48.51           N  \\nATOM    261  CA  GLY A  38     -29.005 -34.455   3.065  1.00 48.51           C  \\nATOM    262  C   GLY A  38     -29.070 -33.124   2.341  1.00 48.51           C  \\nATOM    263  O   GLY A  38     -28.574 -32.996   1.219  1.00 48.51           O  \\nATOM    264  N   GLU A  39     -30.301 -32.600   2.149  1.00 61.61           N  \\nATOM    265  CA  GLU A  39     -30.601 -31.190   1.918  1.00 61.61           C  \\nATOM    266  C   GLU A  39     -29.324 -30.380   1.715  1.00 61.61           C  \\nATOM    267  CB  GLU A  39     -31.410 -30.614   3.083  1.00 61.61           C  \\nATOM    268  O   GLU A  39     -28.328 -30.599   2.407  1.00 61.61           O  \\nATOM    269  CG  GLU A  39     -32.838 -30.241   2.715  1.00 61.61           C  \\nATOM    270  CD  GLU A  39     -33.650 -29.735   3.898  1.00 61.61           C  \\nATOM    271  OE1 GLU A  39     -34.821 -29.338   3.705  1.00 61.61           O  \\nATOM    272  OE2 GLU A  39     -33.109 -29.735   5.026  1.00 61.61           O  \\nATOM    273  N   PRO A  40     -29.140 -29.678   0.443  1.00 66.79           N  \\nATOM    274  CA  PRO A  40     -27.954 -28.842   0.244  1.00 66.79           C  \\nATOM    275  C   PRO A  40     -27.620 -27.991   1.467  1.00 66.79           C  \\nATOM    276  CB  PRO A  40     -28.340 -27.960  -0.946  1.00 66.79           C  \\nATOM    277  O   PRO A  40     -28.522 -27.453   2.114  1.00 66.79           O  \\nATOM    278  CG  PRO A  40     -29.829 -28.056  -1.025  1.00 66.79           C  \\nATOM    279  CD  PRO A  40     -30.279 -29.210  -0.176  1.00 66.79           C  \\nATOM    280  N   ARG A  41     -26.719 -28.439   2.398  1.00 66.19           N  \\nATOM    281  CA  ARG A  41     -26.211 -27.572   3.456  1.00 66.19           C  \\nATOM    282  C   ARG A  41     -26.127 -26.124   2.985  1.00 66.19           C  \\nATOM    283  CB  ARG A  41     -24.837 -28.050   3.930  1.00 66.19           C  \\nATOM    284  O   ARG A  41     -25.524 -25.837   1.948  1.00 66.19           O  \\nATOM    285  CG  ARG A  41     -24.891 -29.231   4.885  1.00 66.19           C  \\nATOM    286  CD  ARG A  41     -23.507 -29.604   5.400  1.00 66.19           C  \\nATOM    287  NE  ARG A  41     -23.559 -30.748   6.305  1.00 66.19           N  \\nATOM    288  NH1 ARG A  41     -21.367 -30.554   7.009  1.00 66.19           N  \\nATOM    289  NH2 ARG A  41     -22.698 -32.226   7.838  1.00 66.19           N  \\nATOM    290  CZ  ARG A  41     -22.541 -31.173   7.049  1.00 66.19           C  \\nATOM    291  N   LYS A  42     -27.128 -25.328   3.179  1.00 69.49           N  \\nATOM    292  CA  LYS A  42     -27.201 -23.893   2.922  1.00 69.49           C  \\nATOM    293  C   LYS A  42     -25.892 -23.201   3.293  1.00 69.49           C  \\nATOM    294  CB  LYS A  42     -28.362 -23.267   3.696  1.00 69.49           C  \\nATOM    295  O   LYS A  42     -25.376 -23.388   4.396  1.00 69.49           O  \\nATOM    296  CG  LYS A  42     -29.618 -23.056   2.864  1.00 69.49           C  \\nATOM    297  CD  LYS A  42     -30.741 -22.444   3.692  1.00 69.49           C  \\nATOM    298  CE  LYS A  42     -32.042 -22.370   2.904  1.00 69.49           C  \\nATOM    299  NZ  LYS A  42     -33.117 -21.674   3.673  1.00 69.49           N  \\nATOM    300  N   ARG A  43     -25.072 -22.959   2.330  1.00 76.01           N  \\nATOM    301  CA  ARG A  43     -23.866 -22.157   2.509  1.00 76.01           C  \\nATOM    302  C   ARG A  43     -24.141 -20.941   3.388  1.00 76.01           C  \\nATOM    303  CB  ARG A  43     -23.311 -21.709   1.155  1.00 76.01           C  \\nATOM    304  O   ARG A  43     -25.050 -20.158   3.105  1.00 76.01           O  \\nATOM    305  CG  ARG A  43     -22.727 -22.841   0.324  1.00 76.01           C  \\nATOM    306  CD  ARG A  43     -22.139 -22.333  -0.985  1.00 76.01           C  \\nATOM    307  NE  ARG A  43     -21.667 -23.431  -1.825  1.00 76.01           N  \\nATOM    308  NH1 ARG A  43     -20.546 -22.076  -3.324  1.00 76.01           N  \\nATOM    309  NH2 ARG A  43     -20.548 -24.351  -3.607  1.00 76.01           N  \\nATOM    310  CZ  ARG A  43     -20.921 -23.283  -2.917  1.00 76.01           C  \\nATOM    311  N   ARG A  44     -23.925 -21.096   4.689  1.00 79.23           N  \\nATOM    312  CA  ARG A  44     -24.088 -20.027   5.670  1.00 79.23           C  \\nATOM    313  C   ARG A  44     -23.377 -18.756   5.218  1.00 79.23           C  \\nATOM    314  CB  ARG A  44     -23.559 -20.466   7.037  1.00 79.23           C  \\nATOM    315  O   ARG A  44     -22.213 -18.800   4.814  1.00 79.23           O  \\nATOM    316  CG  ARG A  44     -24.164 -19.704   8.205  1.00 79.23           C  \\nATOM    317  CD  ARG A  44     -23.718 -20.276   9.543  1.00 79.23           C  \\nATOM    318  NE  ARG A  44     -23.285 -19.227  10.461  1.00 79.23           N  \\nATOM    319  NH1 ARG A  44     -22.390 -20.675  12.023  1.00 79.23           N  \\nATOM    320  NH2 ARG A  44     -22.315 -18.411  12.376  1.00 79.23           N  \\nATOM    321  CZ  ARG A  44     -22.664 -19.440  11.618  1.00 79.23           C  \\nATOM    322  N   ARG A  45     -24.138 -17.710   5.017  1.00 84.79           N  \\nATOM    323  CA  ARG A  45     -23.687 -16.354   4.724  1.00 84.79           C  \\nATOM    324  C   ARG A  45     -23.030 -15.719   5.946  1.00 84.79           C  \\nATOM    325  CB  ARG A  45     -24.856 -15.488   4.249  1.00 84.79           C  \\nATOM    326  O   ARG A  45     -23.475 -15.929   7.076  1.00 84.79           O  \\nATOM    327  CG  ARG A  45     -24.437 -14.128   3.713  1.00 84.79           C  \\nATOM    328  CD  ARG A  45     -25.615 -13.371   3.115  1.00 84.79           C  \\nATOM    329  NE  ARG A  45     -25.217 -12.054   2.627  1.00 84.79           N  \\nATOM    330  NH1 ARG A  45     -27.369 -11.223   2.501  1.00 84.79           N  \\nATOM    331  NH2 ARG A  45     -25.590  -9.904   1.909  1.00 84.79           N  \\nATOM    332  CZ  ARG A  45     -26.060 -11.063   2.347  1.00 84.79           C  \\nATOM    333  N   PHE A  46     -21.887 -15.168   5.707  1.00 88.08           N  \\nATOM    334  CA  PHE A  46     -21.163 -14.468   6.761  1.00 88.08           C  \\nATOM    335  C   PHE A  46     -21.965 -13.276   7.270  1.00 88.08           C  \\nATOM    336  CB  PHE A  46     -19.793 -14.003   6.257  1.00 88.08           C  \\nATOM    337  O   PHE A  46     -22.681 -12.630   6.502  1.00 88.08           O  \\nATOM    338  CG  PHE A  46     -18.848 -15.131   5.942  1.00 88.08           C  \\nATOM    339  CD1 PHE A  46     -18.141 -15.767   6.955  1.00 88.08           C  \\nATOM    340  CD2 PHE A  46     -18.666 -15.554   4.632  1.00 88.08           C  \\nATOM    341  CE1 PHE A  46     -17.265 -16.811   6.666  1.00 88.08           C  \\nATOM    342  CE2 PHE A  46     -17.792 -16.597   4.336  1.00 88.08           C  \\nATOM    343  CZ  PHE A  46     -17.092 -17.223   5.354  1.00 88.08           C  \\nATOM    344  N   ARG A  47     -22.057 -13.131   8.584  1.00 89.64           N  \\nATOM    345  CA  ARG A  47     -22.597 -11.903   9.157  1.00 89.64           C  \\nATOM    346  C   ARG A  47     -21.839 -10.681   8.649  1.00 89.64           C  \\nATOM    347  CB  ARG A  47     -22.544 -11.954  10.686  1.00 89.64           C  \\nATOM    348  O   ARG A  47     -20.668 -10.781   8.278  1.00 89.64           O  \\nATOM    349  CG  ARG A  47     -23.378 -13.070  11.294  1.00 89.64           C  \\nATOM    350  CD  ARG A  47     -23.355 -13.026  12.816  1.00 89.64           C  \\nATOM    351  NE  ARG A  47     -24.466 -13.776  13.394  1.00 89.64           N  \\nATOM    352  NH1 ARG A  47     -24.110 -13.041  15.555  1.00 89.64           N  \\nATOM    353  NH2 ARG A  47     -25.829 -14.488  15.100  1.00 89.64           N  \\nATOM    354  CZ  ARG A  47     -24.799 -13.767  14.681  1.00 89.64           C  \\nATOM    355  N   PRO A  48     -22.593  -9.598   8.503  1.00 89.53           N  \\nATOM    356  CA  PRO A  48     -21.931  -8.374   8.044  1.00 89.53           C  \\nATOM    357  C   PRO A  48     -20.694  -8.027   8.869  1.00 89.53           C  \\nATOM    358  CB  PRO A  48     -23.015  -7.305   8.209  1.00 89.53           C  \\nATOM    359  O   PRO A  48     -20.737  -8.070  10.101  1.00 89.53           O  \\nATOM    360  CG  PRO A  48     -24.302  -8.065   8.227  1.00 89.53           C  \\nATOM    361  CD  PRO A  48     -24.050  -9.415   8.834  1.00 89.53           C  \\nATOM    362  N   GLY A  49     -19.511  -8.007   8.307  1.00 88.41           N  \\nATOM    363  CA  GLY A  49     -18.283  -7.621   8.982  1.00 88.41           C  \\nATOM    364  C   GLY A  49     -17.415  -8.804   9.367  1.00 88.41           C  \\nATOM    365  O   GLY A  49     -16.239  -8.638   9.695  1.00 88.41           O  \\nATOM    366  N   GLU A  50     -18.005 -10.037   9.429  1.00 92.57           N  \\nATOM    367  CA  GLU A  50     -17.304 -11.266   9.790  1.00 92.57           C  \\nATOM    368  C   GLU A  50     -16.235 -11.615   8.759  1.00 92.57           C  \\nATOM    369  CB  GLU A  50     -18.293 -12.425   9.935  1.00 92.57           C  \\nATOM    370  O   GLU A  50     -15.107 -11.959   9.118  1.00 92.57           O  \\nATOM    371  CG  GLU A  50     -17.670 -13.699  10.487  1.00 92.57           C  \\nATOM    372  CD  GLU A  50     -18.683 -14.809  10.723  1.00 92.57           C  \\nATOM    373  OE1 GLU A  50     -18.274 -15.941  11.068  1.00 92.57           O  \\nATOM    374  OE2 GLU A  50     -19.895 -14.544  10.562  1.00 92.57           O  \\nATOM    375  N   ARG A  51     -16.544 -11.535   7.528  1.00 92.15           N  \\nATOM    376  CA  ARG A  51     -15.588 -11.833   6.467  1.00 92.15           C  \\nATOM    377  C   ARG A  51     -14.428 -10.843   6.483  1.00 92.15           C  \\nATOM    378  CB  ARG A  51     -16.276 -11.812   5.101  1.00 92.15           C  \\nATOM    379  O   ARG A  51     -13.271 -11.231   6.309  1.00 92.15           O  \\nATOM    380  CG  ARG A  51     -15.445 -12.420   3.983  1.00 92.15           C  \\nATOM    381  CD  ARG A  51     -16.218 -12.478   2.673  1.00 92.15           C  \\nATOM    382  NE  ARG A  51     -15.355 -12.849   1.554  1.00 92.15           N  \\nATOM    383  NH1 ARG A  51     -16.967 -12.517  -0.067  1.00 92.15           N  \\nATOM    384  NH2 ARG A  51     -14.865 -13.213  -0.660  1.00 92.15           N  \\nATOM    385  CZ  ARG A  51     -15.731 -12.859   0.278  1.00 92.15           C  \\nATOM    386  N   ALA A  52     -14.721  -9.592   6.662  1.00 91.18           N  \\nATOM    387  CA  ALA A  52     -13.718  -8.531   6.706  1.00 91.18           C  \\nATOM    388  C   ALA A  52     -12.742  -8.747   7.859  1.00 91.18           C  \\nATOM    389  CB  ALA A  52     -14.391  -7.167   6.831  1.00 91.18           C  \\nATOM    390  O   ALA A  52     -11.529  -8.599   7.690  1.00 91.18           O  \\nATOM    391  N   LEU A  53     -13.246  -9.185   8.993  1.00 92.99           N  \\nATOM    392  CA  LEU A  53     -12.421  -9.419  10.174  1.00 92.99           C  \\nATOM    393  C   LEU A  53     -11.519 -10.632   9.975  1.00 92.99           C  \\nATOM    394  CB  LEU A  53     -13.301  -9.621  11.411  1.00 92.99           C  \\nATOM    395  O   LEU A  53     -10.374 -10.641  10.432  1.00 92.99           O  \\nATOM    396  CG  LEU A  53     -13.988  -8.372  11.964  1.00 92.99           C  \\nATOM    397  CD1 LEU A  53     -14.941  -8.748  13.095  1.00 92.99           C  \\nATOM    398  CD2 LEU A  53     -12.954  -7.360  12.445  1.00 92.99           C  \\nATOM    399  N   LYS A  54     -12.127 -11.594   9.362  1.00 94.66           N  \\nATOM    400  CA  LYS A  54     -11.333 -12.776   9.042  1.00 94.66           C  \\nATOM    401  C   LYS A  54     -10.178 -12.426   8.108  1.00 94.66           C  \\nATOM    402  CB  LYS A  54     -12.210 -13.857   8.408  1.00 94.66           C  \\nATOM    403  O   LYS A  54      -9.048 -12.875   8.313  1.00 94.66           O  \\nATOM    404  CG  LYS A  54     -11.526 -15.210   8.274  1.00 94.66           C  \\nATOM    405  CD  LYS A  54     -12.483 -16.270   7.744  1.00 94.66           C  \\nATOM    406  CE  LYS A  54     -11.793 -17.618   7.586  1.00 94.66           C  \\nATOM    407  NZ  LYS A  54     -12.733 -18.667   7.089  1.00 94.66           N  \\nATOM    408  N   GLU A  55     -10.408 -11.642   7.111  1.00 94.13           N  \\nATOM    409  CA  GLU A  55      -9.391 -11.219   6.153  1.00 94.13           C  \\nATOM    410  C   GLU A  55      -8.332 -10.348   6.822  1.00 94.13           C  \\nATOM    411  CB  GLU A  55     -10.032 -10.465   4.985  1.00 94.13           C  \\nATOM    412  O   GLU A  55      -7.139 -10.490   6.547  1.00 94.13           O  \\nATOM    413  CG  GLU A  55     -10.847 -11.351   4.054  1.00 94.13           C  \\nATOM    414  CD  GLU A  55     -11.540 -10.577   2.945  1.00 94.13           C  \\nATOM    415  OE1 GLU A  55     -12.225 -11.204   2.104  1.00 94.13           O  \\nATOM    416  OE2 GLU A  55     -11.398  -9.335   2.915  1.00 94.13           O  \\nATOM    417  N   ILE A  56      -8.779  -9.473   7.680  1.00 92.65           N  \\nATOM    418  CA  ILE A  56      -7.860  -8.593   8.394  1.00 92.65           C  \\nATOM    419  C   ILE A  56      -6.881  -9.427   9.216  1.00 92.65           C  \\nATOM    420  CB  ILE A  56      -8.619  -7.603   9.306  1.00 92.65           C  \\nATOM    421  O   ILE A  56      -5.672  -9.183   9.189  1.00 92.65           O  \\nATOM    422  CG1 ILE A  56      -9.405  -6.594   8.462  1.00 92.65           C  \\nATOM    423  CG2 ILE A  56      -7.649  -6.888  10.252  1.00 92.65           C  \\nATOM    424  CD1 ILE A  56     -10.338  -5.704   9.271  1.00 92.65           C  \\nATOM    425  N   ARG A  57      -7.402 -10.403   9.903  1.00 95.07           N  \\nATOM    426  CA  ARG A  57      -6.568 -11.265  10.735  1.00 95.07           C  \\nATOM    427  C   ARG A  57      -5.604 -12.082   9.882  1.00 95.07           C  \\nATOM    428  CB  ARG A  57      -7.437 -12.196  11.583  1.00 95.07           C  \\nATOM    429  O   ARG A  57      -4.442 -12.265  10.253  1.00 95.07           O  \\nATOM    430  CG  ARG A  57      -8.196 -11.489  12.694  1.00 95.07           C  \\nATOM    431  CD  ARG A  57      -9.020 -12.464  13.523  1.00 95.07           C  \\nATOM    432  NE  ARG A  57      -9.863 -11.769  14.492  1.00 95.07           N  \\nATOM    433  NH1 ARG A  57     -10.905 -13.679  15.267  1.00 95.07           N  \\nATOM    434  NH2 ARG A  57     -11.455 -11.633  16.142  1.00 95.07           N  \\nATOM    435  CZ  ARG A  57     -10.739 -12.362  15.298  1.00 95.07           C  \\nATOM    436  N   ALA A  58      -6.187 -12.558   8.834  1.00 95.26           N  \\nATOM    437  CA  ALA A  58      -5.356 -13.340   7.922  1.00 95.26           C  \\nATOM    438  C   ALA A  58      -4.207 -12.501   7.371  1.00 95.26           C  \\nATOM    439  CB  ALA A  58      -6.200 -13.897   6.778  1.00 95.26           C  \\nATOM    440  O   ALA A  58      -3.058 -12.950   7.347  1.00 95.26           O  \\nATOM    441  N   TYR A  59      -4.471 -11.202   6.923  1.00 94.34           N  \\nATOM    442  CA  TYR A  59      -3.470 -10.331   6.315  1.00 94.34           C  \\nATOM    443  C   TYR A  59      -2.462  -9.852   7.353  1.00 94.34           C  \\nATOM    444  CB  TYR A  59      -4.141  -9.128   5.645  1.00 94.34           C  \\nATOM    445  O   TYR A  59      -1.295  -9.618   7.031  1.00 94.34           O  \\nATOM    446  CG  TYR A  59      -4.886  -9.476   4.379  1.00 94.34           C  \\nATOM    447  CD1 TYR A  59      -4.310 -10.298   3.412  1.00 94.34           C  \\nATOM    448  CD2 TYR A  59      -6.165  -8.983   4.147  1.00 94.34           C  \\nATOM    449  CE1 TYR A  59      -4.992 -10.620   2.244  1.00 94.34           C  \\nATOM    450  CE2 TYR A  59      -6.856  -9.299   2.981  1.00 94.34           C  \\nATOM    451  OH  TYR A  59      -6.943 -10.432   0.882  1.00 94.34           O  \\nATOM    452  CZ  TYR A  59      -6.263 -10.117   2.038  1.00 94.34           C  \\nATOM    453  N   GLN A  60      -2.896  -9.782   8.568  1.00 93.35           N  \\nATOM    454  CA  GLN A  60      -2.007  -9.360   9.645  1.00 93.35           C  \\nATOM    455  C   GLN A  60      -1.028 -10.470  10.017  1.00 93.35           C  \\nATOM    456  CB  GLN A  60      -2.814  -8.938  10.874  1.00 93.35           C  \\nATOM    457  O   GLN A  60       0.050 -10.201  10.551  1.00 93.35           O  \\nATOM    458  CG  GLN A  60      -3.552  -7.618  10.701  1.00 93.35           C  \\nATOM    459  CD  GLN A  60      -4.371  -7.239  11.921  1.00 93.35           C  \\nATOM    460  NE2 GLN A  60      -4.679  -5.953  12.053  1.00 93.35           N  \\nATOM    461  OE1 GLN A  60      -4.725  -8.095  12.738  1.00 93.35           O  \\nATOM    462  N   ARG A  61      -1.309 -11.713   9.755  1.00 95.32           N  \\nATOM    463  CA  ARG A  61      -0.470 -12.859  10.089  1.00 95.32           C  \\nATOM    464  C   ARG A  61       0.570 -13.111   9.003  1.00 95.32           C  \\nATOM    465  CB  ARG A  61      -1.325 -14.110  10.296  1.00 95.32           C  \\nATOM    466  O   ARG A  61       1.626 -13.689   9.269  1.00 95.32           O  \\nATOM    467  CG  ARG A  61      -2.112 -14.110  11.597  1.00 95.32           C  \\nATOM    468  CD  ARG A  61      -2.775 -15.456  11.856  1.00 95.32           C  \\nATOM    469  NE  ARG A  61      -4.007 -15.606  11.087  1.00 95.32           N  \\nATOM    470  NH1 ARG A  61      -3.898 -17.911  10.970  1.00 95.32           N  \\nATOM    471  NH2 ARG A  61      -5.640 -16.790   9.989  1.00 95.32           N  \\nATOM    472  CZ  ARG A  61      -4.512 -16.769  10.684  1.00 95.32           C  \\nATOM    473  N   THR A  62       0.258 -12.569   7.850  1.00 94.18           N  \\nATOM    474  CA  THR A  62       1.162 -12.796   6.728  1.00 94.18           C  \\nATOM    475  C   THR A  62       1.757 -11.478   6.239  1.00 94.18           C  \\nATOM    476  CB  THR A  62       0.442 -13.501   5.564  1.00 94.18           C  \\nATOM    477  O   THR A  62       1.267 -10.402   6.588  1.00 94.18           O  \\nATOM    478  CG2 THR A  62      -0.227 -14.789   6.031  1.00 94.18           C  \\nATOM    479  OG1 THR A  62      -0.557 -12.624   5.027  1.00 94.18           O  \\nATOM    480  N   THR A  63       2.810 -11.582   5.494  1.00 93.01           N  \\nATOM    481  CA  THR A  63       3.437 -10.405   4.902  1.00 93.01           C  \\nATOM    482  C   THR A  63       3.479 -10.522   3.381  1.00 93.01           C  \\nATOM    483  CB  THR A  63       4.864 -10.200   5.444  1.00 93.01           C  \\nATOM    484  O   THR A  63       4.369  -9.966   2.735  1.00 93.01           O  \\nATOM    485  CG2 THR A  63       4.846  -9.893   6.937  1.00 93.01           C  \\nATOM    486  OG1 THR A  63       5.628 -11.392   5.221  1.00 93.01           O  \\nATOM    487  N   GLU A  64       2.565 -11.299   2.852  1.00 94.37           N  \\nATOM    488  CA  GLU A  64       2.485 -11.480   1.405  1.00 94.37           C  \\nATOM    489  C   GLU A  64       2.092 -10.181   0.708  1.00 94.37           C  \\nATOM    490  CB  GLU A  64       1.487 -12.587   1.056  1.00 94.37           C  \\nATOM    491  O   GLU A  64       1.350  -9.370   1.266  1.00 94.37           O  \\nATOM    492  CG  GLU A  64       1.884 -13.960   1.580  1.00 94.37           C  \\nATOM    493  CD  GLU A  64       0.923 -15.062   1.162  1.00 94.37           C  \\nATOM    494  OE1 GLU A  64       1.217 -16.252   1.415  1.00 94.37           O  \\nATOM    495  OE2 GLU A  64      -0.133 -14.732   0.578  1.00 94.37           O  \\nATOM    496  N   LEU A  65       2.657  -9.965  -0.458  1.00 95.18           N  \\nATOM    497  CA  LEU A  65       2.328  -8.782  -1.247  1.00 95.18           C  \\nATOM    498  C   LEU A  65       0.904  -8.867  -1.785  1.00 95.18           C  \\nATOM    499  CB  LEU A  65       3.315  -8.619  -2.406  1.00 95.18           C  \\nATOM    500  O   LEU A  65       0.472  -9.926  -2.247  1.00 95.18           O  \\nATOM    501  CG  LEU A  65       4.779  -8.399  -2.024  1.00 95.18           C  \\nATOM    502  CD1 LEU A  65       5.658  -8.397  -3.270  1.00 95.18           C  \\nATOM    503  CD2 LEU A  65       4.939  -7.095  -1.249  1.00 95.18           C  \\nATOM    504  N   LEU A  66       0.189  -7.702  -1.714  1.00 94.81           N  \\nATOM    505  CA  LEU A  66      -1.228  -7.675  -2.061  1.00 94.81           C  \\nATOM    506  C   LEU A  66      -1.427  -7.199  -3.496  1.00 94.81           C  \\nATOM    507  CB  LEU A  66      -1.999  -6.769  -1.098  1.00 94.81           C  \\nATOM    508  O   LEU A  66      -2.360  -7.633  -4.175  1.00 94.81           O  \\nATOM    509  CG  LEU A  66      -2.016  -7.198   0.370  1.00 94.81           C  \\nATOM    510  CD1 LEU A  66      -2.754  -6.165   1.216  1.00 94.81           C  \\nATOM    511  CD2 LEU A  66      -2.657  -8.574   0.518  1.00 94.81           C  \\nATOM    512  N   LEU A  67      -0.567  -6.379  -3.957  1.00 95.40           N  \\nATOM    513  CA  LEU A  67      -0.639  -5.864  -5.320  1.00 95.40           C  \\nATOM    514  C   LEU A  67      -0.017  -6.846  -6.306  1.00 95.40           C  \\nATOM    515  CB  LEU A  67       0.065  -4.508  -5.418  1.00 95.40           C  \\nATOM    516  O   LEU A  67       1.014  -7.456  -6.015  1.00 95.40           O  \\nATOM    517  CG  LEU A  67      -0.507  -3.382  -4.555  1.00 95.40           C  \\nATOM    518  CD1 LEU A  67       0.392  -2.152  -4.625  1.00 95.40           C  \\nATOM    519  CD2 LEU A  67      -1.926  -3.039  -4.995  1.00 95.40           C  \\nATOM    520  N   ARG A  68      -0.681  -7.000  -7.393  1.00 96.93           N  \\nATOM    521  CA  ARG A  68      -0.120  -7.859  -8.431  1.00 96.93           C  \\nATOM    522  C   ARG A  68       1.200  -7.299  -8.950  1.00 96.93           C  \\nATOM    523  CB  ARG A  68      -1.110  -8.023  -9.586  1.00 96.93           C  \\nATOM    524  O   ARG A  68       1.329  -6.091  -9.158  1.00 96.93           O  \\nATOM    525  CG  ARG A  68      -2.417  -8.690  -9.187  1.00 96.93           C  \\nATOM    526  CD  ARG A  68      -3.409  -8.723 -10.341  1.00 96.93           C  \\nATOM    527  NE  ARG A  68      -3.036  -9.716 -11.345  1.00 96.93           N  \\nATOM    528  NH1 ARG A  68      -4.479  -8.924 -12.965  1.00 96.93           N  \\nATOM    529  NH2 ARG A  68      -3.141 -10.733 -13.401  1.00 96.93           N  \\nATOM    530  CZ  ARG A  68      -3.553  -9.788 -12.568  1.00 96.93           C  \\nATOM    531  N   LYS A  69       2.125  -8.175  -9.255  1.00 95.68           N  \\nATOM    532  CA  LYS A  69       3.498  -7.794  -9.571  1.00 95.68           C  \\nATOM    533  C   LYS A  69       3.577  -7.101 -10.929  1.00 95.68           C  \\nATOM    534  CB  LYS A  69       4.413  -9.020  -9.555  1.00 95.68           C  \\nATOM    535  O   LYS A  69       4.255  -6.081 -11.072  1.00 95.68           O  \\nATOM    536  CG  LYS A  69       4.655  -9.592  -8.166  1.00 95.68           C  \\nATOM    537  CD  LYS A  69       5.632 -10.761  -8.206  1.00 95.68           C  \\nATOM    538  CE  LYS A  69       5.885 -11.327  -6.815  1.00 95.68           C  \\nATOM    539  NZ  LYS A  69       6.937 -12.386  -6.831  1.00 95.68           N  \\nATOM    540  N   LEU A  70       2.836  -7.587 -11.952  1.00 96.14           N  \\nATOM    541  CA  LEU A  70       2.973  -7.101 -13.321  1.00 96.14           C  \\nATOM    542  C   LEU A  70       2.436  -5.680 -13.450  1.00 96.14           C  \\nATOM    543  CB  LEU A  70       2.238  -8.027 -14.295  1.00 96.14           C  \\nATOM    544  O   LEU A  70       3.114  -4.803 -13.991  1.00 96.14           O  \\nATOM    545  CG  LEU A  70       2.359  -7.682 -15.780  1.00 96.14           C  \\nATOM    546  CD1 LEU A  70       3.824  -7.660 -16.201  1.00 96.14           C  \\nATOM    547  CD2 LEU A  70       1.569  -8.675 -16.625  1.00 96.14           C  \\nATOM    548  N   PRO A  71       1.214  -5.373 -12.966  1.00 97.36           N  \\nATOM    549  CA  PRO A  71       0.740  -3.991 -13.064  1.00 97.36           C  \\nATOM    550  C   PRO A  71       1.610  -3.011 -12.280  1.00 97.36           C  \\nATOM    551  CB  PRO A  71      -0.671  -4.060 -12.474  1.00 97.36           C  \\nATOM    552  O   PRO A  71       1.795  -1.868 -12.705  1.00 97.36           O  \\nATOM    553  CG  PRO A  71      -1.072  -5.494 -12.610  1.00 97.36           C  \\nATOM    554  CD  PRO A  71       0.164  -6.343 -12.541  1.00 97.36           C  \\nATOM    555  N   PHE A  72       2.094  -3.436 -11.146  1.00 97.55           N  \\nATOM    556  CA  PHE A  72       2.977  -2.590 -10.351  1.00 97.55           C  \\nATOM    557  C   PHE A  72       4.265  -2.290 -11.108  1.00 97.55           C  \\nATOM    558  CB  PHE A  72       3.299  -3.257  -9.010  1.00 97.55           C  \\nATOM    559  O   PHE A  72       4.726  -1.147 -11.130  1.00 97.55           O  \\nATOM    560  CG  PHE A  72       4.153  -2.413  -8.102  1.00 97.55           C  \\nATOM    561  CD1 PHE A  72       5.530  -2.590  -8.059  1.00 97.55           C  \\nATOM    562  CD2 PHE A  72       3.577  -1.442  -7.293  1.00 97.55           C  \\nATOM    563  CE1 PHE A  72       6.323  -1.810  -7.220  1.00 97.55           C  \\nATOM    564  CE2 PHE A  72       4.363  -0.660  -6.451  1.00 97.55           C  \\nATOM    565  CZ  PHE A  72       5.736  -0.846  -6.416  1.00 97.55           C  \\nATOM    566  N   ALA A  73       4.784  -3.299 -11.698  1.00 96.69           N  \\nATOM    567  CA  ALA A  73       6.001  -3.134 -12.488  1.00 96.69           C  \\nATOM    568  C   ALA A  73       5.781  -2.157 -13.639  1.00 96.69           C  \\nATOM    569  CB  ALA A  73       6.475  -4.483 -13.023  1.00 96.69           C  \\nATOM    570  O   ALA A  73       6.638  -1.316 -13.920  1.00 96.69           O  \\nATOM    571  N   ARG A  74       4.655  -2.242 -14.340  1.00 96.56           N  \\nATOM    572  CA  ARG A  74       4.315  -1.341 -15.437  1.00 96.56           C  \\nATOM    573  C   ARG A  74       4.232   0.103 -14.953  1.00 96.56           C  \\nATOM    574  CB  ARG A  74       2.991  -1.755 -16.082  1.00 96.56           C  \\nATOM    575  O   ARG A  74       4.700   1.019 -15.633  1.00 96.56           O  \\nATOM    576  CG  ARG A  74       3.083  -3.020 -16.920  1.00 96.56           C  \\nATOM    577  CD  ARG A  74       1.731  -3.410 -17.503  1.00 96.56           C  \\nATOM    578  NE  ARG A  74       1.818  -4.635 -18.293  1.00 96.56           N  \\nATOM    579  NH1 ARG A  74      -0.445  -4.751 -18.742  1.00 96.56           N  \\nATOM    580  NH2 ARG A  74       0.975  -6.354 -19.561  1.00 96.56           N  \\nATOM    581  CZ  ARG A  74       0.783  -5.244 -18.863  1.00 96.56           C  \\nATOM    582  N   LEU A  75       3.680   0.226 -13.786  1.00 96.48           N  \\nATOM    583  CA  LEU A  75       3.553   1.552 -13.192  1.00 96.48           C  \\nATOM    584  C   LEU A  75       4.924   2.146 -12.888  1.00 96.48           C  \\nATOM    585  CB  LEU A  75       2.717   1.488 -11.911  1.00 96.48           C  \\nATOM    586  O   LEU A  75       5.165   3.327 -13.146  1.00 96.48           O  \\nATOM    587  CG  LEU A  75       2.511   2.809 -11.168  1.00 96.48           C  \\nATOM    588  CD1 LEU A  75       1.658   3.759 -12.001  1.00 96.48           C  \\nATOM    589  CD2 LEU A  75       1.872   2.563  -9.806  1.00 96.48           C  \\nATOM    590  N   VAL A  76       5.744   1.367 -12.348  1.00 95.67           N  \\nATOM    591  CA  VAL A  76       7.094   1.805 -12.012  1.00 95.67           C  \\nATOM    592  C   VAL A  76       7.813   2.280 -13.273  1.00 95.67           C  \\nATOM    593  CB  VAL A  76       7.903   0.679 -11.330  1.00 95.67           C  \\nATOM    594  O   VAL A  76       8.445   3.339 -13.273  1.00 95.67           O  \\nATOM    595  CG1 VAL A  76       9.372   1.077 -11.192  1.00 95.67           C  \\nATOM    596  CG2 VAL A  76       7.306   0.346  -9.964  1.00 95.67           C  \\nATOM    597  N   LYS A  77       7.692   1.567 -14.317  1.00 93.89           N  \\nATOM    598  CA  LYS A  77       8.328   1.918 -15.583  1.00 93.89           C  \\nATOM    599  C   LYS A  77       7.740   3.204 -16.157  1.00 93.89           C  \\nATOM    600  CB  LYS A  77       8.179   0.778 -16.592  1.00 93.89           C  \\nATOM    601  O   LYS A  77       8.465   4.029 -16.716  1.00 93.89           O  \\nATOM    602  CG  LYS A  77       9.034  -0.442 -16.279  1.00 93.89           C  \\nATOM    603  CD  LYS A  77       8.863  -1.529 -17.332  1.00 93.89           C  \\nATOM    604  CE  LYS A  77       9.674  -2.772 -16.990  1.00 93.89           C  \\nATOM    605  NZ  LYS A  77       9.501  -3.845 -18.013  1.00 93.89           N  \\nATOM    606  N   GLU A  78       6.391   3.310 -15.989  1.00 93.79           N  \\nATOM    607  CA  GLU A  78       5.721   4.531 -16.428  1.00 93.79           C  \\nATOM    608  C   GLU A  78       6.253   5.751 -15.680  1.00 93.79           C  \\nATOM    609  CB  GLU A  78       4.207   4.414 -16.235  1.00 93.79           C  \\nATOM    610  O   GLU A  78       6.497   6.798 -16.284  1.00 93.79           O  \\nATOM    611  CG  GLU A  78       3.428   5.622 -16.733  1.00 93.79           C  \\nATOM    612  CD  GLU A  78       1.936   5.528 -16.461  1.00 93.79           C  \\nATOM    613  OE1 GLU A  78       1.261   6.581 -16.405  1.00 93.79           O  \\nATOM    614  OE2 GLU A  78       1.437   4.392 -16.300  1.00 93.79           O  \\nATOM    615  N   VAL A  79       6.414   5.637 -14.380  1.00 94.06           N  \\nATOM    616  CA  VAL A  79       6.913   6.712 -13.530  1.00 94.06           C  \\nATOM    617  C   VAL A  79       8.365   7.023 -13.887  1.00 94.06           C  \\nATOM    618  CB  VAL A  79       6.799   6.351 -12.032  1.00 94.06           C  \\nATOM    619  O   VAL A  79       8.757   8.190 -13.958  1.00 94.06           O  \\nATOM    620  CG1 VAL A  79       7.491   7.404 -11.168  1.00 94.06           C  \\nATOM    621  CG2 VAL A  79       5.333   6.204 -11.629  1.00 94.06           C  \\nATOM    622  N   GLN A  80       9.125   6.001 -14.070  1.00 92.66           N  \\nATOM    623  CA  GLN A  80      10.521   6.152 -14.468  1.00 92.66           C  \\nATOM    624  C   GLN A  80      10.642   6.979 -15.744  1.00 92.66           C  \\nATOM    625  CB  GLN A  80      11.174   4.783 -14.665  1.00 92.66           C  \\nATOM    626  O   GLN A  80      11.527   7.830 -15.856  1.00 92.66           O  \\nATOM    627  CG  GLN A  80      12.631   4.854 -15.102  1.00 92.66           C  \\nATOM    628  CD  GLN A  80      12.839   4.387 -16.531  1.00 92.66           C  \\nATOM    629  NE2 GLN A  80      13.556   5.183 -17.317  1.00 92.66           N  \\nATOM    630  OE1 GLN A  80      12.361   3.319 -16.924  1.00 92.66           O  \\nATOM    631  N   GLU A  81       9.778   6.775 -16.658  1.00 90.98           N  \\nATOM    632  CA  GLU A  81       9.797   7.479 -17.936  1.00 90.98           C  \\nATOM    633  C   GLU A  81       9.541   8.972 -17.748  1.00 90.98           C  \\nATOM    634  CB  GLU A  81       8.762   6.884 -18.894  1.00 90.98           C  \\nATOM    635  O   GLU A  81      10.080   9.798 -18.487  1.00 90.98           O  \\nATOM    636  CG  GLU A  81       9.170   5.543 -19.485  1.00 90.98           C  \\nATOM    637  CD  GLU A  81       8.104   4.933 -20.382  1.00 90.98           C  \\nATOM    638  OE1 GLU A  81       8.346   3.850 -20.961  1.00 90.98           O  \\nATOM    639  OE2 GLU A  81       7.019   5.544 -20.506  1.00 90.98           O  \\nATOM    640  N   THR A  82       8.769   9.313 -16.713  1.00 91.55           N  \\nATOM    641  CA  THR A  82       8.451  10.708 -16.431  1.00 91.55           C  \\nATOM    642  C   THR A  82       9.619  11.398 -15.730  1.00 91.55           C  \\nATOM    643  CB  THR A  82       7.185  10.828 -15.563  1.00 91.55           C  \\nATOM    644  O   THR A  82       9.817  12.605 -15.885  1.00 91.55           O  \\nATOM    645  CG2 THR A  82       5.955  10.328 -16.313  1.00 91.55           C  \\nATOM    646  OG1 THR A  82       7.354  10.050 -14.371  1.00 91.55           O  \\nATOM    647  N   LEU A  83      10.403  10.634 -15.041  1.00 90.54           N  \\nATOM    648  CA  LEU A  83      11.459  11.191 -14.203  1.00 90.54           C  \\nATOM    649  C   LEU A  83      12.784  11.239 -14.957  1.00 90.54           C  \\nATOM    650  CB  LEU A  83      11.617  10.368 -12.922  1.00 90.54           C  \\nATOM    651  O   LEU A  83      13.661  12.041 -14.630  1.00 90.54           O  \\nATOM    652  CG  LEU A  83      10.418  10.352 -11.973  1.00 90.54           C  \\nATOM    653  CD1 LEU A  83      10.670   9.392 -10.816  1.00 90.54           C  \\nATOM    654  CD2 LEU A  83      10.127  11.757 -11.456  1.00 90.54           C  \\nATOM    655  N   THR A  84      12.966  10.377 -15.948  1.00 89.79           N  \\nATOM    656  CA  THR A  84      14.223  10.277 -16.680  1.00 89.79           C  \\nATOM    657  C   THR A  84      14.172  11.108 -17.959  1.00 89.79           C  \\nATOM    658  CB  THR A  84      14.551   8.813 -17.030  1.00 89.79           C  \\nATOM    659  O   THR A  84      13.119  11.220 -18.591  1.00 89.79           O  \\nATOM    660  CG2 THR A  84      15.967   8.684 -17.581  1.00 89.79           C  \\nATOM    661  OG1 THR A  84      14.434   8.009 -15.850  1.00 89.79           O  \\nATOM    662  N   PRO A  85      15.363  11.887 -18.271  1.00 86.32           N  \\nATOM    663  CA  PRO A  85      15.448  12.662 -19.510  1.00 86.32           C  \\nATOM    664  C   PRO A  85      15.221  11.809 -20.756  1.00 86.32           C  \\nATOM    665  CB  PRO A  85      16.874  13.218 -19.482  1.00 86.32           C  \\nATOM    666  O   PRO A  85      15.451  10.597 -20.730  1.00 86.32           O  \\nATOM    667  CG  PRO A  85      17.321  13.049 -18.066  1.00 86.32           C  \\nATOM    668  CD  PRO A  85      16.546  11.919 -17.452  1.00 86.32           C  \\nATOM    669  N   ALA A  86      14.638  12.484 -21.803  1.00 83.31           N  \\nATOM    670  CA  ALA A  86      14.333  11.840 -23.078  1.00 83.31           C  \\nATOM    671  C   ALA A  86      15.582  11.208 -23.686  1.00 83.31           C  \\nATOM    672  CB  ALA A  86      13.722  12.846 -24.050  1.00 83.31           C  \\nATOM    673  O   ALA A  86      16.657  11.811 -23.677  1.00 83.31           O  \\nATOM    674  N   GLY A  87      15.527   9.787 -23.763  1.00 78.60           N  \\nATOM    675  CA  GLY A  87      16.612   9.149 -24.490  1.00 78.60           C  \\nATOM    676  C   GLY A  87      17.488   8.277 -23.610  1.00 78.60           C  \\nATOM    677  O   GLY A  87      18.396   7.604 -24.102  1.00 78.60           O  \\nATOM    678  N   LYS A  88      17.094   8.293 -22.257  1.00 83.37           N  \\nATOM    679  CA  LYS A  88      17.754   7.391 -21.318  1.00 83.37           C  \\nATOM    680  C   LYS A  88      16.803   6.293 -20.850  1.00 83.37           C  \\nATOM    681  CB  LYS A  88      18.290   8.168 -20.114  1.00 83.37           C  \\nATOM    682  O   LYS A  88      15.723   6.580 -20.329  1.00 83.37           O  \\nATOM    683  CG  LYS A  88      19.564   8.950 -20.400  1.00 83.37           C  \\nATOM    684  CD  LYS A  88      20.111   9.606 -19.139  1.00 83.37           C  \\nATOM    685  CE  LYS A  88      21.298  10.509 -19.447  1.00 83.37           C  \\nATOM    686  NZ  LYS A  88      21.762  11.248 -18.235  1.00 83.37           N  \\nATOM    687  N   SER A  89      17.171   5.036 -21.351  1.00 83.53           N  \\nATOM    688  CA  SER A  89      16.353   3.878 -21.004  1.00 83.53           C  \\nATOM    689  C   SER A  89      16.990   3.068 -19.880  1.00 83.53           C  \\nATOM    690  CB  SER A  89      16.138   2.987 -22.228  1.00 83.53           C  \\nATOM    691  O   SER A  89      18.200   2.830 -19.889  1.00 83.53           O  \\nATOM    692  OG  SER A  89      17.364   2.424 -22.661  1.00 83.53           O  \\nATOM    693  N   TYR A  90      16.243   2.950 -18.757  1.00 88.40           N  \\nATOM    694  CA  TYR A  90      16.698   2.147 -17.627  1.00 88.40           C  \\nATOM    695  C   TYR A  90      16.061   0.763 -17.651  1.00 88.40           C  \\nATOM    696  CB  TYR A  90      16.374   2.848 -16.304  1.00 88.40           C  \\nATOM    697  O   TYR A  90      14.930   0.601 -18.116  1.00 88.40           O  \\nATOM    698  CG  TYR A  90      17.159   4.119 -16.083  1.00 88.40           C  \\nATOM    699  CD1 TYR A  90      18.502   4.076 -15.715  1.00 88.40           C  \\nATOM    700  CD2 TYR A  90      16.559   5.364 -16.240  1.00 88.40           C  \\nATOM    701  CE1 TYR A  90      19.229   5.244 -15.508  1.00 88.40           C  \\nATOM    702  CE2 TYR A  90      17.276   6.538 -16.035  1.00 88.40           C  \\nATOM    703  OH  TYR A  90      19.323   7.628 -15.467  1.00 88.40           O  \\nATOM    704  CZ  TYR A  90      18.608   6.468 -15.671  1.00 88.40           C  \\nATOM    705  N   ARG A  91      16.931  -0.163 -17.333  1.00 91.43           N  \\nATOM    706  CA  ARG A  91      16.435  -1.522 -17.149  1.00 91.43           C  \\nATOM    707  C   ARG A  91      16.317  -1.867 -15.668  1.00 91.43           C  \\nATOM    708  CB  ARG A  91      17.349  -2.529 -17.850  1.00 91.43           C  \\nATOM    709  O   ARG A  91      17.210  -1.549 -14.879  1.00 91.43           O  \\nATOM    710  CG  ARG A  91      17.352  -2.407 -19.366  1.00 91.43           C  \\nATOM    711  CD  ARG A  91      18.094  -3.562 -20.023  1.00 91.43           C  \\nATOM    712  NE  ARG A  91      17.884  -3.586 -21.467  1.00 91.43           N  \\nATOM    713  NH1 ARG A  91      20.083  -4.065 -21.988  1.00 91.43           N  \\nATOM    714  NH2 ARG A  91      18.532  -3.822 -23.658  1.00 91.43           N  \\nATOM    715  CZ  ARG A  91      18.834  -3.824 -22.368  1.00 91.43           C  \\nATOM    716  N   TRP A  92      15.184  -2.524 -15.308  1.00 94.27           N  \\nATOM    717  CA  TRP A  92      14.952  -2.880 -13.912  1.00 94.27           C  \\nATOM    718  C   TRP A  92      15.320  -4.336 -13.652  1.00 94.27           C  \\nATOM    719  CB  TRP A  92      13.489  -2.634 -13.530  1.00 94.27           C  \\nATOM    720  O   TRP A  92      14.976  -5.220 -14.441  1.00 94.27           O  \\nATOM    721  CG  TRP A  92      13.125  -1.184 -13.415  1.00 94.27           C  \\nATOM    722  CD1 TRP A  92      12.561  -0.397 -14.380  1.00 94.27           C  \\nATOM    723  CD2 TRP A  92      13.306  -0.347 -12.269  1.00 94.27           C  \\nATOM    724  CE2 TRP A  92      12.827   0.938 -12.610  1.00 94.27           C  \\nATOM    725  CE3 TRP A  92      13.825  -0.558 -10.984  1.00 94.27           C  \\nATOM    726  NE1 TRP A  92      12.379   0.880 -13.902  1.00 94.27           N  \\nATOM    727  CH2 TRP A  92      13.366   1.774 -10.463  1.00 94.27           C  \\nATOM    728  CZ2 TRP A  92      12.853   2.008 -11.712  1.00 94.27           C  \\nATOM    729  CZ3 TRP A  92      13.850   0.508 -10.092  1.00 94.27           C  \\nATOM    730  N   GLN A  93      16.054  -4.442 -12.639  1.00 96.55           N  \\nATOM    731  CA  GLN A  93      16.243  -5.784 -12.098  1.00 96.55           C  \\nATOM    732  C   GLN A  93      14.985  -6.271 -11.384  1.00 96.55           C  \\nATOM    733  CB  GLN A  93      17.435  -5.816 -11.141  1.00 96.55           C  \\nATOM    734  O   GLN A  93      14.250  -5.474 -10.798  1.00 96.55           O  \\nATOM    735  CG  GLN A  93      18.778  -5.590 -11.824  1.00 96.55           C  \\nATOM    736  CD  GLN A  93      19.936  -5.558 -10.844  1.00 96.55           C  \\nATOM    737  NE2 GLN A  93      21.152  -5.703 -11.359  1.00 96.55           N  \\nATOM    738  OE1 GLN A  93      19.740  -5.402  -9.635  1.00 96.55           O  \\nATOM    739  N   ALA A  94      14.773  -7.615 -11.449  1.00 95.75           N  \\nATOM    740  CA  ALA A  94      13.603  -8.192 -10.792  1.00 95.75           C  \\nATOM    741  C   ALA A  94      13.625  -7.915  -9.291  1.00 95.75           C  \\nATOM    742  CB  ALA A  94      13.533  -9.695 -11.051  1.00 95.75           C  \\nATOM    743  O   ALA A  94      12.591  -7.605  -8.695  1.00 95.75           O  \\nATOM    744  N   ALA A  95      14.728  -7.979  -8.669  1.00 97.08           N  \\nATOM    745  CA  ALA A  95      14.883  -7.748  -7.235  1.00 97.08           C  \\nATOM    746  C   ALA A  95      14.565  -6.299  -6.875  1.00 97.08           C  \\nATOM    747  CB  ALA A  95      16.297  -8.106  -6.787  1.00 97.08           C  \\nATOM    748  O   ALA A  95      14.002  -6.025  -5.813  1.00 97.08           O  \\nATOM    749  N   ALA A  96      14.946  -5.360  -7.750  1.00 96.72           N  \\nATOM    750  CA  ALA A  96      14.671  -3.942  -7.536  1.00 96.72           C  \\nATOM    751  C   ALA A  96      13.170  -3.667  -7.540  1.00 96.72           C  \\nATOM    752  CB  ALA A  96      15.366  -3.098  -8.602  1.00 96.72           C  \\nATOM    753  O   ALA A  96      12.666  -2.928  -6.691  1.00 96.72           O  \\nATOM    754  N   LEU A  97      12.519  -4.265  -8.491  1.00 96.98           N  \\nATOM    755  CA  LEU A  97      11.074  -4.093  -8.594  1.00 96.98           C  \\nATOM    756  C   LEU A  97      10.369  -4.672  -7.372  1.00 96.98           C  \\nATOM    757  CB  LEU A  97      10.544  -4.760  -9.867  1.00 96.98           C  \\nATOM    758  O   LEU A  97       9.419  -4.076  -6.859  1.00 96.98           O  \\nATOM    759  CG  LEU A  97      10.900  -4.077 -11.188  1.00 96.98           C  \\nATOM    760  CD1 LEU A  97      10.478  -4.950 -12.366  1.00 96.98           C  \\nATOM    761  CD2 LEU A  97      10.246  -2.702 -11.274  1.00 96.98           C  \\nATOM    762  N   LEU A  98      10.882  -5.756  -6.912  1.00 97.12           N  \\nATOM    763  CA  LEU A  98      10.333  -6.373  -5.710  1.00 97.12           C  \\nATOM    764  C   LEU A  98      10.555  -5.483  -4.491  1.00 97.12           C  \\nATOM    765  CB  LEU A  98      10.966  -7.747  -5.475  1.00 97.12           C  \\nATOM    766  O   LEU A  98       9.657  -5.326  -3.661  1.00 97.12           O  \\nATOM    767  CG  LEU A  98      10.360  -8.591  -4.353  1.00 97.12           C  \\nATOM    768  CD1 LEU A  98      10.400 -10.070  -4.721  1.00 97.12           C  \\nATOM    769  CD2 LEU A  98      11.093  -8.342  -3.040  1.00 97.12           C  \\nATOM    770  N   ALA A  99      11.700  -4.982  -4.363  1.00 97.39           N  \\nATOM    771  CA  ALA A  99      12.027  -4.089  -3.254  1.00 97.39           C  \\nATOM    772  C   ALA A  99      11.130  -2.854  -3.261  1.00 97.39           C  \\nATOM    773  CB  ALA A  99      13.495  -3.677  -3.317  1.00 97.39           C  \\nATOM    774  O   ALA A  99      10.638  -2.431  -2.212  1.00 97.39           O  \\nATOM    775  N   LEU A 100      10.954  -2.310  -4.393  1.00 97.02           N  \\nATOM    776  CA  LEU A 100      10.094  -1.139  -4.529  1.00 97.02           C  \\nATOM    777  C   LEU A 100       8.658  -1.470  -4.136  1.00 97.02           C  \\nATOM    778  CB  LEU A 100      10.133  -0.610  -5.965  1.00 97.02           C  \\nATOM    779  O   LEU A 100       7.992  -0.672  -3.473  1.00 97.02           O  \\nATOM    780  CG  LEU A 100      11.372   0.195  -6.358  1.00 97.02           C  \\nATOM    781  CD1 LEU A 100      11.356   0.498  -7.852  1.00 97.02           C  \\nATOM    782  CD2 LEU A 100      11.452   1.484  -5.547  1.00 97.02           C  \\nATOM    783  N   GLN A 101       8.268  -2.609  -4.577  1.00 97.87           N  \\nATOM    784  CA  GLN A 101       6.914  -3.039  -4.245  1.00 97.87           C  \\nATOM    785  C   GLN A 101       6.755  -3.242  -2.741  1.00 97.87           C  \\nATOM    786  CB  GLN A 101       6.562  -4.328  -4.989  1.00 97.87           C  \\nATOM    787  O   GLN A 101       5.758  -2.817  -2.154  1.00 97.87           O  \\nATOM    788  CG  GLN A 101       5.121  -4.779  -4.789  1.00 97.87           C  \\nATOM    789  CD  GLN A 101       4.733  -5.926  -5.704  1.00 97.87           C  \\nATOM    790  NE2 GLN A 101       3.551  -6.489  -5.480  1.00 97.87           N  \\nATOM    791  OE1 GLN A 101       5.489  -6.301  -6.606  1.00 97.87           O  \\nATOM    792  N   GLU A 102       7.682  -3.931  -2.154  1.00 97.05           N  \\nATOM    793  CA  GLU A 102       7.640  -4.139  -0.710  1.00 97.05           C  \\nATOM    794  C   GLU A 102       7.585  -2.810   0.038  1.00 97.05           C  \\nATOM    795  CB  GLU A 102       8.852  -4.953  -0.249  1.00 97.05           C  \\nATOM    796  O   GLU A 102       6.806  -2.654   0.980  1.00 97.05           O  \\nATOM    797  CG  GLU A 102       8.808  -6.415  -0.669  1.00 97.05           C  \\nATOM    798  CD  GLU A 102       9.993  -7.221  -0.162  1.00 97.05           C  \\nATOM    799  OE1 GLU A 102       9.962  -8.469  -0.254  1.00 97.05           O  \\nATOM    800  OE2 GLU A 102      10.961  -6.599   0.331  1.00 97.05           O  \\nATOM    801  N   ALA A 103       8.392  -1.915  -0.338  1.00 96.60           N  \\nATOM    802  CA  ALA A 103       8.453  -0.603   0.302  1.00 96.60           C  \\nATOM    803  C   ALA A 103       7.151   0.166   0.102  1.00 96.60           C  \\nATOM    804  CB  ALA A 103       9.631   0.200  -0.243  1.00 96.60           C  \\nATOM    805  O   ALA A 103       6.648   0.801   1.033  1.00 96.60           O  \\nATOM    806  N   ALA A 104       6.677   0.171  -1.055  1.00 96.79           N  \\nATOM    807  CA  ALA A 104       5.442   0.881  -1.378  1.00 96.79           C  \\nATOM    808  C   ALA A 104       4.268   0.336  -0.570  1.00 96.79           C  \\nATOM    809  CB  ALA A 104       5.147   0.782  -2.873  1.00 96.79           C  \\nATOM    810  O   ALA A 104       3.499   1.102   0.014  1.00 96.79           O  \\nATOM    811  N   GLU A 105       4.095  -0.942  -0.544  1.00 96.51           N  \\nATOM    812  CA  GLU A 105       3.000  -1.562   0.196  1.00 96.51           C  \\nATOM    813  C   GLU A 105       3.140  -1.318   1.696  1.00 96.51           C  \\nATOM    814  CB  GLU A 105       2.941  -3.064  -0.089  1.00 96.51           C  \\nATOM    815  O   GLU A 105       2.145  -1.102   2.391  1.00 96.51           O  \\nATOM    816  CG  GLU A 105       2.439  -3.406  -1.485  1.00 96.51           C  \\nATOM    817  CD  GLU A 105       2.019  -4.859  -1.632  1.00 96.51           C  \\nATOM    818  OE1 GLU A 105       1.883  -5.338  -2.781  1.00 96.51           O  \\nATOM    819  OE2 GLU A 105       1.823  -5.525  -0.591  1.00 96.51           O  \\nATOM    820  N   ALA A 106       4.333  -1.412   2.147  1.00 95.06           N  \\nATOM    821  CA  ALA A 106       4.583  -1.108   3.554  1.00 95.06           C  \\nATOM    822  C   ALA A 106       4.165   0.321   3.889  1.00 95.06           C  \\nATOM    823  CB  ALA A 106       6.057  -1.321   3.890  1.00 95.06           C  \\nATOM    824  O   ALA A 106       3.577   0.571   4.944  1.00 95.06           O  \\nATOM    825  N   HIS A 107       4.520   1.175   3.007  1.00 94.18           N  \\nATOM    826  CA  HIS A 107       4.161   2.575   3.205  1.00 94.18           C  \\nATOM    827  C   HIS A 107       2.647   2.759   3.215  1.00 94.18           C  \\nATOM    828  CB  HIS A 107       4.789   3.448   2.117  1.00 94.18           C  \\nATOM    829  O   HIS A 107       2.109   3.464   4.072  1.00 94.18           O  \\nATOM    830  CG  HIS A 107       4.401   4.890   2.207  1.00 94.18           C  \\nATOM    831  CD2 HIS A 107       3.589   5.642   1.427  1.00 94.18           C  \\nATOM    832  ND1 HIS A 107       4.871   5.727   3.195  1.00 94.18           N  \\nATOM    833  CE1 HIS A 107       4.362   6.935   3.020  1.00 94.18           C  \\nATOM    834  NE2 HIS A 107       3.581   6.910   1.953  1.00 94.18           N  \\nATOM    835  N   LEU A 108       1.984   2.138   2.304  1.00 94.79           N  \\nATOM    836  CA  LEU A 108       0.532   2.252   2.208  1.00 94.79           C  \\nATOM    837  C   LEU A 108      -0.142   1.663   3.442  1.00 94.79           C  \\nATOM    838  CB  LEU A 108       0.021   1.547   0.948  1.00 94.79           C  \\nATOM    839  O   LEU A 108      -1.108   2.231   3.957  1.00 94.79           O  \\nATOM    840  CG  LEU A 108       0.356   2.217  -0.386  1.00 94.79           C  \\nATOM    841  CD1 LEU A 108      -0.114   1.347  -1.548  1.00 94.79           C  \\nATOM    842  CD2 LEU A 108      -0.274   3.604  -0.461  1.00 94.79           C  \\nATOM    843  N   VAL A 109       0.330   0.525   3.881  1.00 94.75           N  \\nATOM    844  CA  VAL A 109      -0.216  -0.116   5.073  1.00 94.75           C  \\nATOM    845  C   VAL A 109      -0.074   0.818   6.273  1.00 94.75           C  \\nATOM    846  CB  VAL A 109       0.480  -1.465   5.361  1.00 94.75           C  \\nATOM    847  O   VAL A 109      -1.023   1.004   7.038  1.00 94.75           O  \\nATOM    848  CG1 VAL A 109       0.044  -2.018   6.717  1.00 94.75           C  \\nATOM    849  CG2 VAL A 109       0.179  -2.468   4.250  1.00 94.75           C  \\nATOM    850  N   SER A 110       1.092   1.367   6.434  1.00 93.78           N  \\nATOM    851  CA  SER A 110       1.348   2.283   7.540  1.00 93.78           C  \\nATOM    852  C   SER A 110       0.449   3.512   7.459  1.00 93.78           C  \\nATOM    853  CB  SER A 110       2.815   2.713   7.551  1.00 93.78           C  \\nATOM    854  O   SER A 110      -0.074   3.973   8.475  1.00 93.78           O  \\nATOM    855  OG  SER A 110       3.058   3.645   8.591  1.00 93.78           O  \\nATOM    856  N   LEU A 111       0.281   4.062   6.254  1.00 94.28           N  \\nATOM    857  CA  LEU A 111      -0.572   5.224   6.031  1.00 94.28           C  \\nATOM    858  C   LEU A 111      -2.027   4.900   6.353  1.00 94.28           C  \\nATOM    859  CB  LEU A 111      -0.453   5.706   4.582  1.00 94.28           C  \\nATOM    860  O   LEU A 111      -2.712   5.687   7.011  1.00 94.28           O  \\nATOM    861  CG  LEU A 111      -1.225   6.977   4.225  1.00 94.28           C  \\nATOM    862  CD1 LEU A 111      -0.759   8.141   5.094  1.00 94.28           C  \\nATOM    863  CD2 LEU A 111      -1.056   7.307   2.746  1.00 94.28           C  \\nATOM    864  N   PHE A 112      -2.496   3.778   6.004  1.00 95.66           N  \\nATOM    865  CA  PHE A 112      -3.876   3.374   6.246  1.00 95.66           C  \\nATOM    866  C   PHE A 112      -4.109   3.104   7.728  1.00 95.66           C  \\nATOM    867  CB  PHE A 112      -4.225   2.129   5.424  1.00 95.66           C  \\nATOM    868  O   PHE A 112      -5.213   3.309   8.236  1.00 95.66           O  \\nATOM    869  CG  PHE A 112      -4.694   2.436   4.028  1.00 95.66           C  \\nATOM    870  CD1 PHE A 112      -6.002   2.840   3.792  1.00 95.66           C  \\nATOM    871  CD2 PHE A 112      -3.826   2.320   2.950  1.00 95.66           C  \\nATOM    872  CE1 PHE A 112      -6.440   3.124   2.501  1.00 95.66           C  \\nATOM    873  CE2 PHE A 112      -4.256   2.602   1.656  1.00 95.66           C  \\nATOM    874  CZ  PHE A 112      -5.563   3.003   1.434  1.00 95.66           C  \\nATOM    875  N   GLU A 113      -3.096   2.644   8.395  1.00 95.13           N  \\nATOM    876  CA  GLU A 113      -3.190   2.454   9.839  1.00 95.13           C  \\nATOM    877  C   GLU A 113      -3.427   3.780  10.556  1.00 95.13           C  \\nATOM    878  CB  GLU A 113      -1.923   1.784  10.377  1.00 95.13           C  \\nATOM    879  O   GLU A 113      -4.280   3.870  11.441  1.00 95.13           O  \\nATOM    880  CG  GLU A 113      -1.789   0.319   9.985  1.00 95.13           C  \\nATOM    881  CD  GLU A 113      -0.485  -0.309  10.451  1.00 95.13           C  \\nATOM    882  OE1 GLU A 113      -0.256  -1.508  10.174  1.00 95.13           O  \\nATOM    883  OE2 GLU A 113       0.313   0.403  11.100  1.00 95.13           O  \\nATOM    884  N   ASP A 114      -2.700   4.714  10.125  1.00 95.64           N  \\nATOM    885  CA  ASP A 114      -2.838   6.049  10.701  1.00 95.64           C  \\nATOM    886  C   ASP A 114      -4.193   6.660  10.351  1.00 95.64           C  \\nATOM    887  CB  ASP A 114      -1.709   6.961  10.218  1.00 95.64           C  \\nATOM    888  O   ASP A 114      -4.847   7.264  11.204  1.00 95.64           O  \\nATOM    889  CG  ASP A 114      -0.351   6.569  10.774  1.00 95.64           C  \\nATOM    890  OD1 ASP A 114      -0.294   5.831  11.780  1.00 95.64           O  \\nATOM    891  OD2 ASP A 114       0.671   7.006  10.201  1.00 95.64           O  \\nATOM    892  N   ALA A 115      -4.525   6.532   9.124  1.00 96.80           N  \\nATOM    893  CA  ALA A 115      -5.815   7.055   8.681  1.00 96.80           C  \\nATOM    894  C   ALA A 115      -6.965   6.384   9.428  1.00 96.80           C  \\nATOM    895  CB  ALA A 115      -5.979   6.862   7.175  1.00 96.80           C  \\nATOM    896  O   ALA A 115      -7.937   7.042   9.804  1.00 96.80           O  \\nATOM    897  N   ASN A 116      -6.795   5.079   9.584  1.00 96.45           N  \\nATOM    898  CA  ASN A 116      -7.803   4.334  10.331  1.00 96.45           C  \\nATOM    899  C   ASN A 116      -7.937   4.851  11.760  1.00 96.45           C  \\nATOM    900  CB  ASN A 116      -7.475   2.840  10.335  1.00 96.45           C  \\nATOM    901  O   ASN A 116      -9.049   4.998  12.270  1.00 96.45           O  \\nATOM    902  CG  ASN A 116      -8.585   1.999  10.933  1.00 96.45           C  \\nATOM    903  ND2 ASN A 116      -8.223   1.089  11.830  1.00 96.45           N  \\nATOM    904  OD1 ASN A 116      -9.759   2.166  10.593  1.00 96.45           O  \\nATOM    905  N   LEU A 117      -6.846   5.167  12.434  1.00 96.57           N  \\nATOM    906  CA  LEU A 117      -6.844   5.716  13.786  1.00 96.57           C  \\nATOM    907  C   LEU A 117      -7.543   7.071  13.823  1.00 96.57           C  \\nATOM    908  CB  LEU A 117      -5.411   5.853  14.306  1.00 96.57           C  \\nATOM    909  O   LEU A 117      -8.271   7.373  14.771  1.00 96.57           O  \\nATOM    910  CG  LEU A 117      -4.689   4.551  14.657  1.00 96.57           C  \\nATOM    911  CD1 LEU A 117      -3.246   4.837  15.059  1.00 96.57           C  \\nATOM    912  CD2 LEU A 117      -5.425   3.815  15.771  1.00 96.57           C  \\nATOM    913  N   CYS A 118      -7.369   7.856  12.786  1.00 96.84           N  \\nATOM    914  CA  CYS A 118      -8.036   9.149  12.677  1.00 96.84           C  \\nATOM    915  C   CYS A 118      -9.540   8.973  12.505  1.00 96.84           C  \\nATOM    916  CB  CYS A 118      -7.470   9.947  11.503  1.00 96.84           C  \\nATOM    917  O   CYS A 118     -10.327   9.724  13.084  1.00 96.84           O  \\nATOM    918  SG  CYS A 118      -5.779  10.527  11.765  1.00 96.84           S  \\nATOM    919  N   ALA A 119      -9.921   8.025  11.728  1.00 97.55           N  \\nATOM    920  CA  ALA A 119     -11.339   7.727  11.543  1.00 97.55           C  \\nATOM    921  C   ALA A 119     -11.985   7.299  12.858  1.00 97.55           C  \\nATOM    922  CB  ALA A 119     -11.521   6.641  10.486  1.00 97.55           C  \\nATOM    923  O   ALA A 119     -13.090   7.739  13.186  1.00 97.55           O  \\nATOM    924  N   LEU A 120     -11.224   6.453  13.608  1.00 96.73           N  \\nATOM    925  CA  LEU A 120     -11.710   5.963  14.893  1.00 96.73           C  \\nATOM    926  C   LEU A 120     -11.820   7.100  15.903  1.00 96.73           C  \\nATOM    927  CB  LEU A 120     -10.784   4.871  15.435  1.00 96.73           C  \\nATOM    928  O   LEU A 120     -12.761   7.141  16.699  1.00 96.73           O  \\nATOM    929  CG  LEU A 120     -10.840   3.519  14.722  1.00 96.73           C  \\nATOM    930  CD1 LEU A 120      -9.799   2.569  15.305  1.00 96.73           C  \\nATOM    931  CD2 LEU A 120     -12.237   2.917  14.825  1.00 96.73           C  \\nATOM    932  N   HIS A 121     -10.858   7.990  15.777  1.00 96.67           N  \\nATOM    933  CA  HIS A 121     -10.857   9.153  16.657  1.00 96.67           C  \\nATOM    934  C   HIS A 121     -12.092  10.019  16.426  1.00 96.67           C  \\nATOM    935  CB  HIS A 121      -9.589   9.982  16.449  1.00 96.67           C  \\nATOM    936  O   HIS A 121     -12.612  10.627  17.364  1.00 96.67           O  \\nATOM    937  CG  HIS A 121      -9.513  11.193  17.323  1.00 96.67           C  \\nATOM    938  CD2 HIS A 121      -9.640  12.509  17.031  1.00 96.67           C  \\nATOM    939  ND1 HIS A 121      -9.277  11.119  18.678  1.00 96.67           N  \\nATOM    940  CE1 HIS A 121      -9.263  12.341  19.184  1.00 96.67           C  \\nATOM    941  NE2 HIS A 121      -9.481  13.203  18.205  1.00 96.67           N  \\nATOM    942  N   ALA A 122     -12.659  10.033  15.266  1.00 97.16           N  \\nATOM    943  CA  ALA A 122     -13.818  10.830  14.872  1.00 97.16           C  \\nATOM    944  C   ALA A 122     -15.106  10.021  14.990  1.00 97.16           C  \\nATOM    945  CB  ALA A 122     -13.647  11.347  13.446  1.00 97.16           C  \\nATOM    946  O   ALA A 122     -16.158  10.443  14.505  1.00 97.16           O  \\nATOM    947  N   LYS A 123     -15.047   8.761  15.588  1.00 97.03           N  \\nATOM    948  CA  LYS A 123     -16.183   7.872  15.818  1.00 97.03           C  \\nATOM    949  C   LYS A 123     -16.779   7.390  14.499  1.00 97.03           C  \\nATOM    950  CB  LYS A 123     -17.255   8.576  16.651  1.00 97.03           C  \\nATOM    951  O   LYS A 123     -17.993   7.203  14.391  1.00 97.03           O  \\nATOM    952  CG  LYS A 123     -16.801   8.952  18.054  1.00 97.03           C  \\nATOM    953  CD  LYS A 123     -17.915   9.635  18.837  1.00 97.03           C  \\nATOM    954  CE  LYS A 123     -17.448  10.054  20.225  1.00 97.03           C  \\nATOM    955  NZ  LYS A 123     -18.537  10.721  20.998  1.00 97.03           N  \\nATOM    956  N   ARG A 124     -16.056   7.229  13.464  1.00 96.13           N  \\nATOM    957  CA  ARG A 124     -16.420   6.663  12.169  1.00 96.13           C  \\nATOM    958  C   ARG A 124     -15.677   5.356  11.915  1.00 96.13           C  \\nATOM    959  CB  ARG A 124     -16.127   7.660  11.046  1.00 96.13           C  \\nATOM    960  O   ARG A 124     -14.611   5.120  12.487  1.00 96.13           O  \\nATOM    961  CG  ARG A 124     -17.026   8.886  11.061  1.00 96.13           C  \\nATOM    962  CD  ARG A 124     -16.745   9.805   9.880  1.00 96.13           C  \\nATOM    963  NE  ARG A 124     -15.525  10.581  10.079  1.00 96.13           N  \\nATOM    964  NH1 ARG A 124     -14.154   9.103   8.951  1.00 96.13           N  \\nATOM    965  NH2 ARG A 124     -13.278  11.011   9.871  1.00 96.13           N  \\nATOM    966  CZ  ARG A 124     -14.322  10.230   9.634  1.00 96.13           C  \\nATOM    967  N   VAL A 125     -16.293   4.487  11.089  1.00 91.64           N  \\nATOM    968  CA  VAL A 125     -15.660   3.225  10.721  1.00 91.64           C  \\nATOM    969  C   VAL A 125     -15.225   3.272   9.258  1.00 91.64           C  \\nATOM    970  CB  VAL A 125     -16.604   2.025  10.959  1.00 91.64           C  \\nATOM    971  O   VAL A 125     -14.479   2.405   8.798  1.00 91.64           O  \\nATOM    972  CG1 VAL A 125     -16.848   1.818  12.452  1.00 91.64           C  \\nATOM    973  CG2 VAL A 125     -17.926   2.234  10.222  1.00 91.64           C  \\nATOM    974  N   THR A 126     -15.596   4.273   8.605  1.00 94.77           N  \\nATOM    975  CA  THR A 126     -15.257   4.486   7.203  1.00 94.77           C  \\nATOM    976  C   THR A 126     -14.104   5.476   7.069  1.00 94.77           C  \\nATOM    977  CB  THR A 126     -16.471   4.998   6.406  1.00 94.77           C  \\nATOM    978  O   THR A 126     -14.162   6.582   7.612  1.00 94.77           O  \\nATOM    979  CG2 THR A 126     -16.134   5.152   4.927  1.00 94.77           C  \\nATOM    980  OG1 THR A 126     -17.552   4.068   6.544  1.00 94.77           O  \\nATOM    981  N   ILE A 127     -13.117   5.147   6.331  1.00 95.88           N  \\nATOM    982  CA  ILE A 127     -11.969   6.017   6.098  1.00 95.88           C  \\nATOM    983  C   ILE A 127     -12.291   7.007   4.981  1.00 95.88           C  \\nATOM    984  CB  ILE A 127     -10.705   5.202   5.744  1.00 95.88           C  \\nATOM    985  O   ILE A 127     -12.785   6.617   3.920  1.00 95.88           O  \\nATOM    986  CG1 ILE A 127     -10.316   4.287   6.911  1.00 95.88           C  \\nATOM    987  CG2 ILE A 127      -9.549   6.134   5.370  1.00 95.88           C  \\nATOM    988  CD1 ILE A 127      -9.196   3.309   6.584  1.00 95.88           C  \\nATOM    989  N   MET A 128     -11.979   8.290   5.241  1.00 97.22           N  \\nATOM    990  CA  MET A 128     -12.240   9.370   4.294  1.00 97.22           C  \\nATOM    991  C   MET A 128     -10.945  10.077   3.906  1.00 97.22           C  \\nATOM    992  CB  MET A 128     -13.229  10.376   4.883  1.00 97.22           C  \\nATOM    993  O   MET A 128      -9.915   9.896   4.557  1.00 97.22           O  \\nATOM    994  CG  MET A 128     -14.591   9.781   5.204  1.00 97.22           C  \\nATOM    995  SD  MET A 128     -15.761  11.025   5.875  1.00 97.22           S  \\nATOM    996  CE  MET A 128     -17.282  10.037   5.929  1.00 97.22           C  \\nATOM    997  N   VAL A 129     -11.053  10.845   2.860  1.00 96.70           N  \\nATOM    998  CA  VAL A 129      -9.903  11.574   2.335  1.00 96.70           C  \\nATOM    999  C   VAL A 129      -9.340  12.497   3.413  1.00 96.70           C  \\nATOM   1000  CB  VAL A 129     -10.275  12.390   1.076  1.00 96.70           C  \\nATOM   1001  O   VAL A 129      -8.122  12.619   3.560  1.00 96.70           O  \\nATOM   1002  CG1 VAL A 129      -9.086  13.225   0.603  1.00 96.70           C  \\nATOM   1003  CG2 VAL A 129     -10.757  11.462  -0.037  1.00 96.70           C  \\nATOM   1004  N   ARG A 130     -10.144  13.100   4.278  1.00 96.00           N  \\nATOM   1005  CA  ARG A 130      -9.713  14.014   5.332  1.00 96.00           C  \\nATOM   1006  C   ARG A 130      -8.849  13.294   6.361  1.00 96.00           C  \\nATOM   1007  CB  ARG A 130     -10.923  14.653   6.018  1.00 96.00           C  \\nATOM   1008  O   ARG A 130      -7.985  13.908   6.992  1.00 96.00           O  \\nATOM   1009  CG  ARG A 130     -11.847  13.652   6.694  1.00 96.00           C  \\nATOM   1010  CD  ARG A 130     -13.053  14.335   7.324  1.00 96.00           C  \\nATOM   1011  NE  ARG A 130     -13.952  13.370   7.950  1.00 96.00           N  \\nATOM   1012  NH1 ARG A 130     -15.555  14.929   8.531  1.00 96.00           N  \\nATOM   1013  NH2 ARG A 130     -15.860  12.717   9.050  1.00 96.00           N  \\nATOM   1014  CZ  ARG A 130     -15.120  13.674   8.509  1.00 96.00           C  \\nATOM   1015  N   ASP A 131      -9.061  11.965   6.542  1.00 96.85           N  \\nATOM   1016  CA  ASP A 131      -8.262  11.160   7.461  1.00 96.85           C  \\nATOM   1017  C   ASP A 131      -6.830  11.008   6.954  1.00 96.85           C  \\nATOM   1018  CB  ASP A 131      -8.898   9.784   7.662  1.00 96.85           C  \\nATOM   1019  O   ASP A 131      -5.880  11.054   7.738  1.00 96.85           O  \\nATOM   1020  CG  ASP A 131     -10.305   9.857   8.228  1.00 96.85           C  \\nATOM   1021  OD1 ASP A 131     -10.549  10.660   9.154  1.00 96.85           O  \\nATOM   1022  OD2 ASP A 131     -11.178   9.104   7.745  1.00 96.85           O  \\nATOM   1023  N   PHE A 132      -6.742  10.909   5.664  1.00 94.81           N  \\nATOM   1024  CA  PHE A 132      -5.421  10.794   5.057  1.00 94.81           C  \\nATOM   1025  C   PHE A 132      -4.659  12.109   5.166  1.00 94.81           C  \\nATOM   1026  CB  PHE A 132      -5.538  10.376   3.588  1.00 94.81           C  \\nATOM   1027  O   PHE A 132      -3.457  12.115   5.442  1.00 94.81           O  \\nATOM   1028  CG  PHE A 132      -5.877   8.922   3.396  1.00 94.81           C  \\nATOM   1029  CD1 PHE A 132      -4.894   7.945   3.499  1.00 94.81           C  \\nATOM   1030  CD2 PHE A 132      -7.179   8.533   3.111  1.00 94.81           C  \\nATOM   1031  CE1 PHE A 132      -5.205   6.599   3.322  1.00 94.81           C  \\nATOM   1032  CE2 PHE A 132      -7.497   7.189   2.933  1.00 94.81           C  \\nATOM   1033  CZ  PHE A 132      -6.509   6.224   3.037  1.00 94.81           C  \\nATOM   1034  N   GLN A 133      -5.375  13.095   4.874  1.00 94.30           N  \\nATOM   1035  CA  GLN A 133      -4.777  14.423   4.944  1.00 94.30           C  \\nATOM   1036  C   GLN A 133      -4.252  14.717   6.346  1.00 94.30           C  \\nATOM   1037  CB  GLN A 133      -5.789  15.492   4.528  1.00 94.30           C  \\nATOM   1038  O   GLN A 133      -3.145  15.236   6.505  1.00 94.30           O  \\nATOM   1039  CG  GLN A 133      -6.176  15.432   3.056  1.00 94.30           C  \\nATOM   1040  CD  GLN A 133      -7.301  16.387   2.706  1.00 94.30           C  \\nATOM   1041  NE2 GLN A 133      -7.593  16.513   1.416  1.00 94.30           N  \\nATOM   1042  OE1 GLN A 133      -7.905  17.007   3.588  1.00 94.30           O  \\nATOM   1043  N   LEU A 134      -5.122  14.420   7.305  1.00 94.16           N  \\nATOM   1044  CA  LEU A 134      -4.734  14.623   8.697  1.00 94.16           C  \\nATOM   1045  C   LEU A 134      -3.554  13.731   9.068  1.00 94.16           C  \\nATOM   1046  CB  LEU A 134      -5.915  14.341   9.629  1.00 94.16           C  \\nATOM   1047  O   LEU A 134      -2.612  14.182   9.724  1.00 94.16           O  \\nATOM   1048  CG  LEU A 134      -5.658  14.531  11.125  1.00 94.16           C  \\nATOM   1049  CD1 LEU A 134      -5.221  15.964  11.410  1.00 94.16           C  \\nATOM   1050  CD2 LEU A 134      -6.903  14.176  11.931  1.00 94.16           C  \\nATOM   1051  N   ALA A 135      -3.623  12.457   8.706  1.00 94.20           N  \\nATOM   1052  CA  ALA A 135      -2.542  11.511   8.970  1.00 94.20           C  \\nATOM   1053  C   ALA A 135      -1.226  12.000   8.372  1.00 94.20           C  \\nATOM   1054  CB  ALA A 135      -2.894  10.132   8.416  1.00 94.20           C  \\nATOM   1055  O   ALA A 135      -0.175  11.909   9.010  1.00 94.20           O  \\nATOM   1056  N   ARG A 136      -1.217  12.518   7.207  1.00 92.34           N  \\nATOM   1057  CA  ARG A 136      -0.032  13.028   6.526  1.00 92.34           C  \\nATOM   1058  C   ARG A 136       0.507  14.273   7.223  1.00 92.34           C  \\nATOM   1059  CB  ARG A 136      -0.347  13.342   5.062  1.00 92.34           C  \\nATOM   1060  O   ARG A 136       1.720  14.493   7.262  1.00 92.34           O  \\nATOM   1061  CG  ARG A 136      -0.511  12.109   4.188  1.00 92.34           C  \\nATOM   1062  CD  ARG A 136      -0.857  12.476   2.752  1.00 92.34           C  \\nATOM   1063  NE  ARG A 136       0.263  13.123   2.076  1.00 92.34           N  \\nATOM   1064  NH1 ARG A 136      -0.995  13.921   0.310  1.00 92.34           N  \\nATOM   1065  NH2 ARG A 136       1.257  14.343   0.403  1.00 92.34           N  \\nATOM   1066  CZ  ARG A 136       0.173  13.794   0.931  1.00 92.34           C  \\nATOM   1067  N   ARG A 137      -0.388  15.047   7.691  1.00 91.88           N  \\nATOM   1068  CA  ARG A 137      -0.004  16.262   8.403  1.00 91.88           C  \\nATOM   1069  C   ARG A 137       0.686  15.928   9.722  1.00 91.88           C  \\nATOM   1070  CB  ARG A 137      -1.227  17.145   8.661  1.00 91.88           C  \\nATOM   1071  O   ARG A 137       1.682  16.558  10.084  1.00 91.88           O  \\nATOM   1072  CG  ARG A 137      -0.893  18.499   9.266  1.00 91.88           C  \\nATOM   1073  CD  ARG A 137      -2.109  19.414   9.308  1.00 91.88           C  \\nATOM   1074  NE  ARG A 137      -1.798  20.695   9.934  1.00 91.88           N  \\nATOM   1075  NH1 ARG A 137      -3.905  21.591   9.627  1.00 91.88           N  \\nATOM   1076  NH2 ARG A 137      -2.270  22.823  10.658  1.00 91.88           N  \\nATOM   1077  CZ  ARG A 137      -2.658  21.700  10.072  1.00 91.88           C  \\nATOM   1078  N   ILE A 138       0.127  14.932  10.433  1.00 92.17           N  \\nATOM   1079  CA  ILE A 138       0.666  14.538  11.730  1.00 92.17           C  \\nATOM   1080  C   ILE A 138       2.014  13.847  11.540  1.00 92.17           C  \\nATOM   1081  CB  ILE A 138      -0.310  13.611  12.489  1.00 92.17           C  \\nATOM   1082  O   ILE A 138       2.926  14.019  12.352  1.00 92.17           O  \\nATOM   1083  CG1 ILE A 138      -1.604  14.360  12.828  1.00 92.17           C  \\nATOM   1084  CG2 ILE A 138       0.348  13.055  13.755  1.00 92.17           C  \\nATOM   1085  CD1 ILE A 138      -2.698  13.474  13.408  1.00 92.17           C  \\nATOM   1086  N   ARG A 139       2.202  13.018  10.558  1.00 88.53           N  \\nATOM   1087  CA  ARG A 139       3.431  12.292  10.253  1.00 88.53           C  \\nATOM   1088  C   ARG A 139       4.563  13.253   9.905  1.00 88.53           C  \\nATOM   1089  CB  ARG A 139       3.205  11.310   9.101  1.00 88.53           C  \\nATOM   1090  O   ARG A 139       5.733  12.962  10.163  1.00 88.53           O  \\nATOM   1091  CG  ARG A 139       2.503  10.026   9.515  1.00 88.53           C  \\nATOM   1092  CD  ARG A 139       2.359   9.061   8.347  1.00 88.53           C  \\nATOM   1093  NE  ARG A 139       1.620   7.860   8.728  1.00 88.53           N  \\nATOM   1094  NH1 ARG A 139       2.503   6.536   7.053  1.00 88.53           N  \\nATOM   1095  NH2 ARG A 139       0.989   5.661   8.535  1.00 88.53           N  \\nATOM   1096  CZ  ARG A 139       1.706   6.688   8.104  1.00 88.53           C  \\nATOM   1097  N   GLY A 140       4.316  14.464   9.508  1.00 83.90           N  \\nATOM   1098  CA  GLY A 140       5.337  15.448   9.186  1.00 83.90           C  \\nATOM   1099  C   GLY A 140       5.795  15.383   7.741  1.00 83.90           C  \\nATOM   1100  O   GLY A 140       5.490  14.423   7.031  1.00 83.90           O  \\nATOM   1101  N   GLN A 141       6.296  16.526   7.088  1.00 68.35           N  \\nATOM   1102  CA  GLN A 141       6.733  16.765   5.716  1.00 68.35           C  \\nATOM   1103  C   GLN A 141       7.963  15.927   5.377  1.00 68.35           C  \\nATOM   1104  CB  GLN A 141       7.033  18.249   5.499  1.00 68.35           C  \\nATOM   1105  O   GLN A 141       8.255  15.691   4.203  1.00 68.35           O  \\nATOM   1106  CG  GLN A 141       5.794  19.135   5.510  1.00 68.35           C  \\nATOM   1107  CD  GLN A 141       6.126  20.609   5.373  1.00 68.35           C  \\nATOM   1108  NE2 GLN A 141       5.095  21.444   5.295  1.00 68.35           N  \\nATOM   1109  OE1 GLN A 141       7.298  20.995   5.338  1.00 68.35           O  \\nATOM   1110  N   SER A 142       8.549  15.219   6.350  1.00 64.49           N  \\nATOM   1111  CA  SER A 142       9.843  14.572   6.165  1.00 64.49           C  \\nATOM   1112  C   SER A 142       9.679  13.104   5.787  1.00 64.49           C  \\nATOM   1113  CB  SER A 142      10.687  14.688   7.435  1.00 64.49           C  \\nATOM   1114  O   SER A 142      10.574  12.509   5.184  1.00 64.49           O  \\nATOM   1115  OG  SER A 142      11.161  16.014   7.605  1.00 64.49           O  \\nATOM   1116  N   ARG A 143       8.446  12.544   5.734  1.00 58.25           N  \\nATOM   1117  CA  ARG A 143       8.196  11.132   5.460  1.00 58.25           C  \\nATOM   1118  C   ARG A 143       7.465  10.953   4.134  1.00 58.25           C  \\nATOM   1119  CB  ARG A 143       7.386  10.500   6.594  1.00 58.25           C  \\nATOM   1120  O   ARG A 143       7.236   9.825   3.693  1.00 58.25           O  \\nATOM   1121  CG  ARG A 143       8.162  10.344   7.893  1.00 58.25           C  \\nATOM   1122  CD  ARG A 143       7.523   9.311   8.811  1.00 58.25           C  \\nATOM   1123  NE  ARG A 143       8.449   8.868   9.849  1.00 58.25           N  \\nATOM   1124  NH1 ARG A 143       6.913   7.527  10.936  1.00 58.25           N  \\nATOM   1125  NH2 ARG A 143       9.058   7.694  11.727  1.00 58.25           N  \\nATOM   1126  CZ  ARG A 143       8.138   8.031  10.835  1.00 58.25           C  \\nATOM   1127  N   GLU A 144       7.386  11.993   3.246  1.00 53.54           N  \\nATOM   1128  CA  GLU A 144       6.838  11.892   1.897  1.00 53.54           C  \\nATOM   1129  C   GLU A 144       7.935  12.030   0.845  1.00 53.54           C  \\nATOM   1130  CB  GLU A 144       5.759  12.954   1.674  1.00 53.54           C  \\nATOM   1131  O   GLU A 144       8.945  12.696   1.077  1.00 53.54           O  \\nATOM   1132  CG  GLU A 144       4.512  12.753   2.523  1.00 53.54           C  \\nATOM   1133  CD  GLU A 144       3.417  13.766   2.232  1.00 53.54           C  \\nATOM   1134  OE1 GLU A 144       2.306  13.638   2.795  1.00 53.54           O  \\nATOM   1135  OE2 GLU A 144       3.672  14.695   1.433  1.00 53.54           O  \\n\",\"pdb\");\n",
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              "\tviewer_1633513527331648.zoomTo();\n",
              "viewer_1633513527331648.render();\n",
              "});\n",
              "</script>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 100x10 with 1 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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TxEo6Lc/t7b6Q2blThEU264uRXE7Wx2Iyoa+qgmQSOjpGihxrZXKtIimfF2UWjUJlpSzP50Ug9PXJulBIjqnCJhyWdaEQVFSMHEM8LmPQsUYiMo5IRNZHInLMwUFf4JWilAAIh+W6YjFfIEYisq0eU0VcMZGI7F8siBIJuW5j5HU0OvMEUSwmj1xu9Hs2GRgzceeMxQ78vs9wasJhavSzUg5r9TPUY61Nj+W41toB4Fnv5QPGmJOBDwK/AGLGmFRRlKgFGEfAygkih8PhcDgc46MDGEImHUHKTkK82oDhX4CNN2lasED0QHu7zOELBT+oAzK/B1i/XqJFixdDMllBa+sCqmt6fHGxfbtM9gsFPwo0MCDPQ0My0RwY8A8aicj2oZBMajVqUyjIa51kW+uLo2jUH1ihIMceHBQhoZEffbS3yziGhkZGnCoqRGSEw/I6k/FFVCYjx1RRpkItSFBMBTHGF0kDA/6kemhI1oXDskwFXlWVH0myVkRPLLa/yKqpgWXL/LGkUrBjh4hHVa2h0PRFZ5JJ/6Hv91RyqOIlKKjCYf8zOlvRf0+j4QuiQzoTkoL7ADAInANcC2CMWQksRlLsxowTRA6Hw+FwOMaMtXbAGPMAMgm5DoZNFc4BvjmeY1VUyPwok5G5YCYzUhhFo/Lo6ZHgSlWVBIByOWhpqaZpfkwEyM6dMhnu7/ejQIXC/hPMoEDRbVT0BLcJh/0Ij4oMkGXBbXWZohEjTVELh/00MxUmmh4XTJ/TY2jamkaV9HxDQzJO3a9YhATPExxfcMKu4qrchLTUskLBfwTXF9+DqSQoIoaGfLE2nWM6GIpTKaNRXxDPVsYqiMaBMeYLwE3AViSy/CbgbOBl1tpuY8wPgK94znNp4BvA3eNxmAMniBwOh8PhcIyfryB5/PcD9yK221XAj8ZzEA1M5POS/dbWBlu3yvLWVllXWSnbZrOwZw888YQsSyRg1ao4CxcuomFtXtLfVE3198sOwTQ4rSFScRGcTA8M+KIkm5W/EwnJ4bNWjhuJ+LVG6bQ8GyPPKnTicdmmp0eOmUiMvGCtMwqms2lILJHwt8/n/cjR0JA89HyRiERudKw6oS5X3xMOj6x5An/MOjkNphcGyWTkDdmzx79nwXotY+Sap5Jw2L+Wvj7/PZlN0ZXgvdbPQTgs91I/k7qNfl5LHaNcCuRYx3Ao+5diEgQR0IxY/M8DuoFHETH0B2/9h4ECEiGKA7cA7xvvSaZVEBljzkR8xNchF3qJtfa6wHqDuE68E0gBdwLvtdY+E9imHlGDr8S/IR+01mam6jocDofD4TicsNb+whjTBHwWcXN6GDjfWltstDAqdXV+5pUKHy0L6ujwNUp3t2RrhUKSHQXyd2en6ImG1pQsTCRkRTotE3dNPVNxoiJjYMA3MBgc9IUKyEBSKdm+s9M/7rJlMtiODv/XfB0I+Gl2WmfT1yfnUIaG/PWxmEwcNWUOZIKazfpjtdZPA9Poh0aeNHKlE9rgNsXCIJ3ef5mmByr5fGkxpal4GrlS4Rc83lRHZoon8dGonzJXfJ0TWeMzkRRfQ2+viKFg1E+3icVKi71DFTOTUQs2CYLIWvt3B1jfD7zfexw00x0hqgIeAX5I6a6y/wh8AHgbsBn4d+AWY8wa7wYAXIWIqZcCUeTXqe8hITWHw+FwOByTgLX2m4wzRa6YaFTmT+oqpz/0Z7OiFTSClEjIfDGblXQ5LXdRXwWWVfrKSsVBb6+cRNOpdL1GZHSZCot43E9rq6iQ1zrBC5oq6ID0GOAfNxqVdVVVMvELTnDjcT/dTSM6Kqa0DknHFBxf8WRY09eKDRBUsBQz1shJuYmqpu1Z66ftBfeZ7lS1cPjAk/CZjrXywS7FZN3fyRCKkxMhmhKmVRBZa29C8gKHCywVLzr0IeBz1trrvWVvRWw9LwauNsasBs4HTrbW3u9t8/fAjcaYj1lrd07VtTgcDofD4Rgf6lWg5mjhsPzYn07D00/7qXTLlom26OoSF+j+fgnUqGbYl42Tqo9jIhE/XU4nmBp+yudlmQqHZFJs69JpEU/JpB9BCtp2JxLyt1pPd3b6EaU9e+Qc4bCfxzc0JMdUS3AVEMbIYHM5GYsKt76+kfVE4EcFBgdLRzlKRUKqq/0Ikm4frFMp3r944loqhWpoyFen4Bs/BJnotKsDUXw/dDylhN8MnXwDvkGGmnaUG+tU399DwQmiSeEIJAx/qy7wiqfWI43frvaeu1QMedyKpM6dCvzfZA/SWkvWC4lXVlbuJ+wcDodjruK+/xyHSkODaIeGBpl7V1b65gqdnX4USF21GxslfU4DOtmsCKP2djleXdITJTU10Nzsp6ANDOxfuK51Odmsvzyfl/01kqOT7GCNjtZ3WDuyxkdT78B3elODByUU8k0UNJpUUeHX+USjftRF63M0ehCcSGrEJohGu4qNFIK2fUGK9y9nqjA46FtCa0hvOie1xecul+430ylOcZzu+zoROEE0KWiH2VKN31oD27QHV1pr857TRNkOtSU6Zlcf7CCz2SxJL6E5k8lQpR6hDofDMcdx33+OQ0UDNMmkP/83RrRBfb2IHRU9lZUy3+rpkflva6vv/tzersGcKBXJpEySm5slghMKyWtNS1O7bW2EqoYK/f1+OptGisqlK6mbW7DwfWjIj0rpr/oqrLR/EfjnKBR8UQR+Cp0xvj22Ro6CqXPFTnLBMU2kDbSiwk9FXHENkePg0M+MEjSLmK0E00DLMd0plmWYyYJoMinZMdvhcDgcDsfUsWyZPHd3+/N89UVIpfy+pTt3wpYtEjU66ijJDmtvl22SSbj3XmlF1NoKCxc2MG9eA8nKSokUZTKysrfXT09TUZLJiIjp7vbT1dJp2U8bnGYyfspYJCJhKu0zBL5IABEP2axv5qANYXUSmM/Lei2C6umR5Roh6uqS5docNiiklHKiJx6X6ytmPBPQUsfWtD4oX+A/nWi6YKlrn8mUinTNdvSHhlnITBZE2tytBdgVWN6CuNnoNs3BnYwxEaCe0TvUluyYfSiDdTgcDofDMT4WLJB54NatogNUPxgjAZ7aWj9tbmBAtMqePbJdc7MsLxR88wXwS3mS9TW+nbSmpuVyMnEORjzi8ZHW0arI9O9gNEjTgTSq09PjGxlotEhT19SgYWhI1mkPpFK/ohenfGk/o1JiRo9VilJ1QBMxQdXI0Uyc7GoPptnOXEmZm4mfkTEwkwXRZkTUnIMngIwxNUht0He8be4GUsaYddbaB7xlL0E62K4vd+ByHbMdDsfsYXCowFDBkojOgf8IHY7DlBUrxFAhn5cgTW+v3yJn8WJfE+zZI2lzHR0S7KmvF7Gk2kMtuwcGJFiQSEBraxXRmNe4VaNFMDKdraLCX6aRj6AgUqOFeHxkxKaqSrYbGPBFi9YCgb9MxZDuFw77YkojVeDvZ4xvdT046NcS6URZC/FLTZy1tmmsgkjrgkabhBc3l9X7OZOiGaX6Jx0MUy1I1EWkr89/z2dblKsYJ4gODmNMEjgysOgIY8zxQKe1dqsx5mvAJ4wxz+Dbbu/E64xtrX3SGHMzcIUx5j2I7fY3gaudw5xjrrKtM8vGth729OQ4d3UzzTWJA+80y7HW0pEZoKEqRihkeHDrPt5/1YNkB4b4z1cfy/lry5YMTht3PdtBV98gF6xtdT+6OBxlaI53E19WQzYraXFPP+2XzQTn3PPn+21+OjslYy2fl+WplBjAqbt2V5dok61bYeHCRcQbG0VFabPVgYGRERZjRhoi6DJNY9PQldpwg2/AoP1vCgW/qaYKK40GqZgI9jrSBq66PlifU+wQV2yvrcVWQaMFrY8ab7+aoAAoJQaqqkRhakpg8b2bCeRyfurhoTDV0Znge2Xt1IuhyRCAThAdNCcBfw681jS2HwNvB76E9Cr6HtKY9Q6k8VvQ8/FSRAT9Eb8x6wcmddQOxyTTkcnRUBUbMZEuFCz/eO2jXPOAn935lT/E+NabTuTUZQ3TMcwJYSBf4Bf3baW5JsFZK5qIhUM8tbuHJ3el2dqZ5ZndGdZv7qQjk6O5Os7pyxv43WO7GBySL/L3/PQB3n76Uj54zlHUVZVxU5pCOnsH+MxvH+f6h+U3mQvWtvKfrzmWmoRMKB7d3sUv79+GtTA/VcFpyxs4cXHdqMe01vKVPzzNs+0Z3nb6Ul5Q9H5b7z81J7wcs472dupWLqK5WeaH272vt0LBL9HRgIwGTPr7fQtuNVpQd+zKSpkfq0tdPA6pVAXJxsaRLnKqnoJiI2iBHAr5znFqZa3CQkVPcXRFBcrgoL8+eHw9rqbeqXNdMNWumOJoUPB4weXljBb0GKUo3r5cdElFm74BMy2tSx0DZzsuZW5ame4+RLcBZf8Ht/K//L95j3LbdOKasDrmEP/30HY+9qtHOePIRr7/1pOIReTL5Ys3b+SaB7YTMrCqtYa+wSE2d/Ry6ffXc/7aVubVJmiuTtBUHefI5iRrF9RO85WUpiOT47Ht3Zy5oomQgX+7fgNX37cNgKpYmHDIkO4v/Ytme0+O6zyhceExrSxIVXDFXzdz5V1b+Nm9Wzl3dTOZ3BCbOzLMrxWxcdFx81nWlJyw8Q8VLJ+4bgP3bNrLWSuaOHNFIz39ebZ1Zrlvyz7u29JJdmCIkIFwyHDThjYe2trFUS1J0v15HtnWNeJ4xsA/nb+Kd5+5rKyg+cEdm/nGn54F4KYNbZyytJ5PX3Q0a+bXcNNju/jUbx7nvKNb+NzFx0zYdTocU8LGjSQXL2blyqbh/kOqNzQKNDAgttzV1dDU5EeJtmyRqFI67ZcJVVd7jVrxW/7U1kJrax1Ni73ipPZ2vwOsCheN8qgVt0Z00mlf+Og22j9oaGhkD6GuLnmOxWS/YBRJrfMGB2VZRYVfJ6Q1QTqeXM5P5StGx1FcM6NNYEuJonJGCEERUVEhN3DfvpHbFB9vJk529c2fbelmmv7Y3+9fg5p3TAWT1Zh1Jn5GxsB0R4gcDkeArXuzfOL/NjBUsNz+9B7+9f8e41MXHc33bt/E927fBMB/vfY4XnXiQvoGhvjnXz/K9Q/v5IZHd+13rEtPXcwnX7FmRtXYFAqWt/zgXp7clebUI+o548hGrr5vGyEDLTUJdnVL8LcyFuaYBbUc0VjFkoYq1i2pY/W8au7d3MkfntjNmvk1vOUFSzDGcPryRv77D0+xYUeaGx/zvVS2dfaxfnMn37t9E7+5/IUc2XzooshaEUM/v3crAJs7ernyri37bbeqtZr/fPWxWOD9Vz3Ijq4+2tJybZGQ4ZXHzWdRXQWP70zzx43tfPGmjTzbnuFLrz6WUGikKLrjmQ4+f+OTALzoqEbWb+rk3i2dXPTNO3jRUY38+SlpDPnTe7ZyyQkLWbdk9GiTwzGj2L0bnnqK5NERFiyo44gjRDOoA3Znp7xubfVN2xIJqSlSk4V0WiJLhYIf0Kiu9qNEyaT8XXNiLfG6jO/GEGw4Go2KYNHUOK3vUDc4LVTSTrEaNVIzBo346IRQHR7UjEEjOEEBpIJEBZWm8+kPI5q2N56anfGYLQQp7l9UfDzdV2/mTKohyudnf2Qln5fP32zHCSKHw3Go5IcKfOSXD9M7MMTypio2d/Tyqwe285tHdpLLy690/3j+Sl514kIAKmJhvvb647nkhAU8vVtqitp7crR193Pvlk6uWr+Vh7Z28YO3n8S82jK/Nk4xf9rYzpO75Ofb9Zs7Wb+5E5AIybvOXMbjO9NYC6vnVRMJ7/+les7qFs5Z3TJi2YtXNXP2yiYe3tbFbU/tobU2wdIGuX8/u/d5NuxIc/nPHuS6958xLnG4O93PVfc8z5krmjhpaT3ZgTxfuvkpfn7vVoyBj750BZs6enlkWxcNyTgLUhUcu7CWFyxrYGVL9bCwueXDZ3LPc3vpyQ0ymLecuaKJ1lq/7usnd2/hM799gmse2M5Fx83nzBVNw+ueauvh8p8/SMHCa9Yt5MuvOZa2dD+f/e0T3LShbVgMLW2oZMveLF+6eSNXv+sFLnXOMXvo7IRdu6ChgeTCCC0t1eTzfgAnlxupRTQ4Eg7D3r2+KOrqEj2RSPgaZnBQSkuqq2VZezssam70u7yC3yS1stKf/BcKvnkA+JpwFsgAACAASURBVKl0mmrXH8jaD/Yh0job3UcFTSnUoEFNE0bbJ9jsUif+pQRAObOFsWBtaZGj6WgaKQoaQcwkZmhvm1FRgazMdlEHY3P8m6HpjU4QORzjZEdXH7dsaGNjW5re3BDvPHMZxy9KDa+31vLJ6zewpSPL/3vD8TQk4/sdY6hguWr98/T057lgbSsW+PzvnuT+5/eRjEe48rJTuO3pPXzyug3k8gWOaKzi3Wcu4/UnLxpxHGMMZ69s5uyVI9zn+cvTe/jwLx7miV1p/unax/jxZSdP+yTZWsu3bpO0r1edsICNbT08sSvN3xw/n3d56WIHm+ZnjOGExXWcEKjFOW15A+eububCr/+VjW09fPaGJ/j8JWNLKesfHOJvr7yPx3em+fqfnuWkJXU8tyfDvqzk73/+kmN44ymLx3SsZDzCuWtayq5/62lLeWRbN9c+uJ17Nu0dFkTPtme49Pv30JUd5PhFKT538VqMMcyrreA7b17HzRva+Nm9W3n9SYs4YXGKs//rNtZv7uT2Zzo4KyCqHI4ZzZYtMtnfuROWLuWo888ftspubKwmmRRzhE757YRQSFLgamokavTQQ7L+2WfluaPDiwbViBNdc7McLpuV+f7OxXFOXbtCDqg9fzS1LZuVSWo6PTLFLJMR9dXlpbsODPgNXTWFTpWatbJMu8cODvpRJHWvy+floVGivj7Zp7tb/tbGsTCyIetolPt+N0b2Lyd2gpTaJpeT69YUQb3umUZQpM4mZlKkbSIYS4Rohgo/J4gcjhJ0Zwf55f3bOOPIRtbMrxleXihY3vqD9Ty3xw9t3/rkbv77dcfximPnAyJGfnqPpFS97Uf38rN3vmC4oB5gT0+OD/3iIe58di8AX77lKb/Fg4EvvOoYFtVX8pYXLGFhqoJwyPDCIxv3S6UajbNWNPGr95zGBV/7K7c/vYebN7RxwTHzDumeHCr3bOrkoa1dxCMhPn7hamoqIjyxM82xC1OTJtaaaxJ89fXH89Yf3svP1m8lEjJ88hVr+OOT7fzk7i3k8gUqomHOXd3M205fijFmOC3u8Z1pkvEI/YND3P+85NUvaajko+et5KLj5k/oOE9dVs+1D27nXi9i1tbdz5uuuIeOzABr5tXw48tO2S+6df7a1hHuem95wRJ+cMdmPvPbx/n8Jcdw6hH10y6CHY4Dok1P1ZJ60yb5OxZj0YoV9PebYX2gkSCQQEVtrfRIzWahrc3XKR0dvndCZ6evVTo7JfDTvaqK2vmeA0M2Kwfu7BQVFYmMNFJQBzh1iiuezKnZwsCAHFwFTND9TaM+wSiGCiIVUMFt9e/gugOhqXXFhfkT2aNnJvf6mYlRq8MRJ4gcjrmDtZYP//Jh/rSxHYDz1rTwzxesYllTkj9ubOe5Pb1UxyNc9sIjeGx7F39+ag+X/+whtnZmefeZy/niTRuHj7VhR5p3/Ph+fvK3MqHd0tHL6757N+09OSqiYU5ckuKeTZ0MFSznrm7hn85fyVEt1cP7v3hV837jGyvLm5K85+zlfP2Pz/CZ3z7Bi1Y0kYxHKBQsz7RnCBlGnGuy+bYXHXrdSYtoqpZfTE84gLvaRPCio5r41wtX87nfPclP7n6e3z26i729I3/hvOPZDp7aneGj563gits3DZtXfO8t61jcUMn1D+9kUX0lF65tLZnKd6icsrQegEe3d9M/OMT/3rOF9p4cRzUn+ek7TqW2MnqAI8D7X3wkv35wO5v29PKG793DqtZqVs+robU2wVDBMjhU4DXrFnL0/JlptuE4TOnt9UM4kYhEjGDYMm7hwkXkcr4uyGT8OVciIZbbvb2iZbq6fEEEkiqn7X/UsCEWE/HUnwpTU9NAxeIB2UFPEolIlCaXE2GjYihYg6MD0BS1YPpbPu87wQV7DOn2KniC2ynqOqdCTI0dxoLWJoXDI6MOQ0Mi/MrVCAUp5XJWLIJmY2raTEXfZ+VwcZmbodfoBJHDUcRvHtnJnza2Ew4ZCtby+yd288j2Lm764Jlc8VcxNrj0BUv4yEtXMFSwfP7GJ/nBHZv50s1P8eeN7Wxs66EmEeE7b17He/73Ae7d3Mn7rnqQr77+eN79vw/Q3pPjyOYk37n0RI5qqWZf7wC9A3kW1lVO+LW87+zlXPfQDrZ2Znnxf93G/FQF2zqzdPYOEDJw5WWnjKhZmSw27cnw12c6CBl415nLJv18xbzjRctY0lDFh3/xMHt7B4hHQrzjRUdwzIIUT+/u4Wu3Ps3P793KL+7bSsH7rv6Hl63i9CMbAREbk8mShkqaq+O09+R4aGsXv31ETDI+cM5R1I/RSry+KsZvLn8h//OX5/jVA9vZ2NbDxraRvTn+8MRubv3IWTPKaMNxmBONSnpZi5dWunGjb0rQ20vFok7Wzp/PvHlN7NolaXKa6ZZOS1ociIZpb5dAT1ubPLJZWLNGhFN7uzxrf6L2dtEJJ544D6N1QJ2dMpaKCjlgNivLamv9vj/qQpdKifDo6JDtBwf9BqwDA6Lc1DVOLb57enxxVVcn167pdiADzHk947XOYrSmqsE0MY1QFW+vNuAHOwmNRORa29tlbPl86Yl7OSe7yWAuCAfYv25rLlyTE0QOx9xAesg8AcAHzzmKC4+Zx7v+93427enlrT9cz4YdaSIhw9tOXwKIrfInX7GGebUJPve7J7lvi6RWXf6SIznjyEZ+8PaTecsP1vOnje285L9uY2/vAE3Vca56x6m0eA1V66pik9Y/JxEN8/lLjuGdP7mfPT059vTkhsc9VLB88OqH+N0HXsT81OSaLmjvpLNWNLGofuKF31h46ZoWfnP5Gfz+id1cdNz84Ws+f20rK1qSfODqhxnIF1gzr4b3nr2cVxw7dSmGxhhOOaKeGx7dxff/uomtnVkqY2HOWT2+COGi+kr+45Jj+NC5K1i/eS/bOvvYne4nFglx/cM72L6vjytu38Tfn3PUJF2JwzFOtAYnl/Mn+WpQ0NMznOfWcGSKUCjK0JDM0TMZ2TQaFWFT5wWbIxG/zCWT8dPnUikRUJWVfupcIgE7dkBTUxPxSERWptMiWjIZv+ZHI1jq8qC/6g8OihjS6JExflQnn/cjNhrt0SL6UEgaK6nldzBKEGzMqstVAIwmBNTCu1QEJxr17b7HS7HJQ6TMtHG6I0flxuWYWpwgcjhmFzu7+qiviu33S/nnbniCzt4BVrVW856zlhOLhPjmG0/k4m/fyYYd4o72yuPm7+fa9o4XLaOuMsY/XvsoSxsqeetpSwE45Yh6/ufN63jnT+5nb+8AkZDh25eeOCyGpoIXHtXInf/8Erbs7aU9naMxGWPVvBre8L272bAjzfuuepBfvvu04X5HE81QwXLtgyKIXnvSogNsPbksa0rynrP2t98+f+08bvxANV3ZAdYtqZuW2hsVRH/0UjXPXd1CZezgvqKbquPDNW3K0fNr+ODVD/Pt257jNSctnDHOg47DHI249PXJxD2f9/vJpNMiSjxb6rrmZlhcO1wblE77gZuWFtk0mRSd0dEhUaItWySdbulSv7VPZaXM8aNROfTu3TB/fh2p+XVULPQiNGrLXVMjJ1Jllcv51nf9/SJsNAIUCsk6TY2zVl6rk10i4afY1df7EZVg6pzWIYFfExSPjzw+7C9AolHZt2dkVHjYdq+UscJYIi3FNUjR6P5peTA55gDlxle8zJip7+HjKI0TRA7H7OEvT+/hbT+8l5pEhItPWMDbT1/KsqYk927u5NcP7cAY+OKrjx0WCGvm1/CvF67mU795HIC/e+ERJY/76nULOXtlE/FoeITQevGqZr7xxhP48u+f4v1nH8nJXr3IVFJfFdsv9eo7l67j5V//Kw9v6+Ibf3qGj563clLOffsze9idzlFXGR13xGMqmYg+RYfCKUeM/Fy8coKNGy46bj4/ved57tuyj4/+8hE+fdHRLGus4rEd3XRkBjh3dbMzYXBMPbmcqJhgqplO9tva/Locr8tq3SKoXFpLTc3IbDNt46NGCx0d4s+wZYvvUFdZKfpl9275u7ZWjpHJ+L1aU6k4damUf8Ddu2XnYkMEfehrrTcKOsipy4OSzfp1I11dfsMlFRwqsrRRp6bN5XIjJ5HGjLT4Do6vWKyMFrkZy8RUr03PqSYSxUxGytxo0bBi4wjHzEBTQmchs3PUDschcMMjOwFI9+f5yd3Pc+0D2/nWpScOmyG84eTFI2y0Ad562hIyuTwV0fCo1tClLLYBLjhm3rS7vBWzqL6SL776WN531YN857bnePmx81jVWkNvLk8iGiY8Dle70bjmfokO/c3xC4hH3H9c5VjRXE1tRZTuvkFqEhHOXNE4occ3xvCpVx7Nxd+6k7ue28t5X72dqliY3gGZdH319cdxyQkLJ/ScDscBCfb+UaMBXaaNU7X4JxaDzk7ijSHq66tpbPRd5AoFv4+q6pneXhE66qTd2SmH0ay0aFROEcw2C4WgLpn0ozxVVXIgrQ/SvkEqNIK/hqs1tR5MH/pa0+p0H63viZVImR4teqNRm+A2esxSDVjnmgNbqQiVY2YwlgjRDP08OkHkOKyw1nLXc2J3/eFzV3DHs3u4b8s+3v6j+wBIVUb5h5ftHykxxkx6Yf10cMHaVs5b08Lvn9jNP17zKMctTHH1fVtZ1VrDjy47mcYyAm+s7Osd4A9PyC+sr5vmdLmZTihkOHlpHbc+2c75a1snRTyuXVDLr95zGt/9yyZ+/0QbvQNDw/VkNz3W5gSRY+oZHJT+O9rwU6MmmkoXnOhr1KW/n3gqxapV8ygUJNqzfbvveaDCKBKRQ+zeDU8/LY+2Njj+eNE4mYzsm0xKwKahQQ7fcHQTyWSfCDF1iNNap97e4TEQifhiRk8WjfpmCeGwHBxk/95eCUslk77AstavVQK/J1Ii4V9vPO5HnTTXT+udNCqjLnPaPFYFQ3GT2SAVFf45NDWvuJ9P8Br1PKXE2kTWEBU3oS2mVGPPclGJUgLRMXk4QeRwzA62dmbZ0dVHNGx455lH8J6zl/HRXz7CDY+Kq9fHzls5ZlevuYAxhn+/eC13P7eXR7d38+j2bgAe29HN6/7nbn76jlMPyXDhhsd2MTAkRgXBfk6O0nzwnBXEIiH+/iWTZ3pwwuI6/uct62jr7mdvb46hguWib97JHc920D845BzoDnOMMR8HXgWsAvqAu4B/stY+FdgmAfw38AYgDtwCvM9au3vcJwzaS4dCDLsmFEdetDloQJxEk0nmz68ezpjq6JAokAqjWAyWLxcNou2OurqkiWt9PTQ1+XVHNTWiV7q6ZL/W1goaGyuI6kQ7n5eDq2jL531RpIYQ6jbX3z+yCauGpLQeKhTyw1gDA75o6u8XUWKtRKb6+0dGmfQ4esFBEaIuEcWCZrTJZ9BoodjxTIlGxb9cxVIpa281k5goxlLXNNYaJieGphYniByO2YFGh05YVDdcsP71N5zAcQtTdPcN8sZTFk/n8KaFlpoEn/mbo/nYrx7h2IUpLjtjKV+6+Sk2dfRyybfv5KuvO37Yfnq8XP/QDgAuOWHBRA55znLMwlq+fem6KTlXa22C1toE1lpaauLsTudYv7mTs6bAht0xozkL+BZwHzJH+Dzwe2PMGmutdqT+KvBy4LVAN/BN4NfAGQd1Rp3ww8jJcDDtTPsUaQQEIJ2mcX71sEbREiRdHYuJ6IlGobnZD+y0tfnb1Nb6KXdak7Rjhx9wmNec8muBNBqjdT4wsteQRnC8xrLD1xCNynM87m+fSPjRG91Woy8qmnRbFT6x2MjITxCNEGnaXnD50FBpwTIWUREOy7gPVF84nYXy5eqaHFOPE0QOx8xjX+8A+7IDtNYmhsWPCqLTljcMbxcKGd45Db1xZhKvOnEhLzu6lcpYGGMMJy+t560/vJdn2zO86fvreeeLjuBfLlw9rqL7bZ1Z7n9+H8bARcdPrEGAY+IwxvCSVS38/N6t/PHJ3U4QHeZYa88PvjbGvB1oB9YBtxtjaoG/A95krf2Tt81lwJPGmBdYa+8Z1wm7uyVaosJHHdw0YqEhHLXkTqdleToNkQgmnaahpoaG4+fT2mpoa4PHH/dT4kIh7TckZgvt7bBhg2ibri5Zpo7bQZM7LV3qrgxTq11fdeOuLtkhFPKF0dCQH3GJRHzTg2xWnN900q41RN3dcqL+ftmmuGlrOi33IhjFURc1dVULioDubv98QXGihgwHG8HJZLxOtp41+t69+4uPqRZDpc4/3bbfDsEJIodjZrGtM8srvnEH3X1iZ6qNUO9+TlqYn3GQEY+5TFXc/zqYn6rgN5efwed+9yQ/W7+VK/66mXVL6jh/7diNIa5/WKJDpy9vmFKbccf4OWdVsyeI2vnMRda5zTmCqIuM59XGOiAK3KobWGs3GmO2AqcBJQWRMSaOpNcp1YBMbsNhmcgPDkrIBnwTAiUYncnnfTGikaP+fiorK6islMw1db/W0ptQSHRVLif6S3fdutXvoZpKybJKr1VaJuMdZ0kV1Y3e/xnqiqd1OrGYb5ut6XwDA76gGxryBUM0KtGWROD7MGgqoZGnXM5PnQsKGa2jUre3IGq7XVwzo+YLB4uOa4ZaJQ8TtC53TB9OEDkcM4dCwfKxXz1Cd98gIQMFC8+2Z3jVd+6ip1+c4opd5Bz7UxmL8PlLjiEWDnHlXVu4eUPbmAWRtZb/89LlLj7epcvNdM44spF4JMSOrj6e3p1hZWv1dA/JMQMwxoSArwF3Wms3eItbgQFrbVfR5ru9deX4OPCp/ZYWCn6n1URC6lX0F/9g+ldfnx8F0BQ77V+kgigpgige97PQcjlfH6jQqa+XcqCuLrHl7uqSbbJZOX1Fhd/UVQNARx/dhNGcOlVUKoi0waqKBu35E4xahEK+GKqoGGkVrdeo9UeDg36ESRuyBhsnlRI4mnqn64Puc2oMEWSsZgMatZvpEZiJrGFyHDxOEDkcM4cf3rmZ9Zs7qYyFuemDL6IiGuatP7yXjW3SsO7kI+onrQnpXOTlx87jyru28KeN7QwOFYiGD3zvHt+Z5rk9vcQjIc5fO9ocyTETqIiFOX15A39+ag9/3LjbCSKH8i1gLfDCCTjWF4CvBF5XA9uJxXy7N0V73wwOSu7bvn0iBnRirhOq9nY/xy2fJ9rczKLmZpJnxNm6FR57TII5GgFKJMSrYMUK2bWtTZ61B1E+L6fr64O6Or9PkZrLrVmziOp6r1+YNgLt7BQlpQ8Vdj09Mv5gb6Lubl+pVVfLukxGhJIuU2VWVeWLnJ4eETjWDjepHTZd0Ca2ulyjUEFzhWh0f8OFoFnEaESjciN27PC9yvWcMwV1wpvoPkhTzVy4hrH0IZqh0UY3K3TMKbbuzfKlW8QM6RMvX8OShiqaaxL879+dyvKmKgBXIzFOTlxcR0NVjHR/nns3dx54B+DWJ8Vs6iWrmqlORA+wtWMmcPZKaZp7t1dn5zi8McZ8E3gF8GJr7fbAqjYgZowpDrO3eOtKYq3NWWvT+gDkFyqdyAdTu/TX/mhURIP269E6nVzOd0JQp4TOzuFHXcrS0CCGCsmkPBIJ/1FfL0GeVMovBVJts2+f6BatQdKypT17RED1FKrEoUEPoifQR3W1LK+q8k+oeXxq463RnnB4ZPpcPO4bKug9CP6aHowMFU86jZEJdXGKnEamSkWVin+pL7WNTnB12xn66/6MHdfhhkaIDvQYB8aYjxtj7jPG9Bhj2o0x1xljVhZtc5sxxhY9/mc853ERIsec4tcPbWcgX+AFy+p54yl+35um6jjXvOd07ni2g5cd7SIW4yEcMpy7uoVf3L+N3z/eNqb6qwe3SjZN0LzCMbM5ean88v3g8/vIDxWIjCES6Jh7GCkg+wZwCXC2tXZz0SYPAIPAOcC13j4rgcXA3eM+YTwuYiEe9yMlIJMmFRHaZXVoaGSkIxIRgaRqRtPUYjFaWhro6fHnX5WVI4MoWqKk5grt7bBzp4ifWMzPWGtslGXqep3JwJo186QYKhyWA+iBwbep1r5DitZK6bhVqCSTEhEK9gsyZmQPJhVH6kwnN33kfdQaoiAaOVEhFkQ72QbT68r1IVIHu3LpetPNaFGu0RrczjRme3QIJitlbizOlwBXAP8WeJ0dz0mcIHLMKW56TH6gfN1Ji/YrDK+rivHK45zb2cFw3tEiiP7wxG4+fdHRoxbdFwqWh7buAyS65JgdrGytpjoeoSeXZ2NbD2sX1B54J8dc5FvAm4C/AXqMMfoLUre1ts9a222M+QHwFWNMJ5BGBNTd43aYAxEN0UAUWd3kND0s2JAUZNIYbGKqk0jtVQSSPteYZvWqpSQSho4O0U1dXRJcAhFIzc2wcKE0bn3mGakZ6uoSowXws+I0iLNli2iXxkZYuHAeRguW0mnZUJuzZrMSQVIhoilzOjk3xndw6O8X4afXk0r5IlBz9WIxuQdabxWLiejq6Rlp/51I+JEnXaaiRwWNiodigVRO7Gj9koqy4v2mg+L6p9FE2mwRQ3OFSRBEB3K+DKzKWmvLRqkPhBNEjjnDs+0ZntrdQzRsOGd1y3QPZ05xxpGNVETD7Ozu5/Gd6VEny8/tydDTnycRDbHK1aLMGsIhw4lL6vjL03u4f0unE0SHL+/1nm8rWn4ZcKX394eBAhIhGm7MelBnGxjw++SokYKaKhQ7rMHIya/up45u6jinkZaODurrm8jnRWcUt+fRqJExkiaXTstw0ml5VFaKHtFn7b/a0SHPqVQt8cZALyHtV6SRq1DIr4UK9gIKpsppFEyvQ5ero1ywd5FefzjsX6OKFQ19aZqhEjRjKBYSYxULKrL0OqabUmOY6aYPhwvjE0TVRT+u5qy1uTGcpdj5UrnUGPNmJHX3t8C/W2vHHCVygsgxZ7jpsV0AvPDIRmorXN3KRJKIhjlrRRM3P97GTRt2jTpZfshLlzt2YcqlXc0yTlJB9Pw+3n7GEdM9HMc0YK09YE6UtbYfeL/3ODTUQntwcGTKWDHFhgE6SdfoSzot22mqXW8vdHZSs6KJgQFYtMjXWRr1CWqsoSHRMmqysGmTPCeT4iGwZw/MmyeHf/hhqSdKpWDp0jpSzXVUtOYkKqQRomef9SNW6joXrB3SjrDabFb30+armm5XUeHbeQdFjzZhVae7REKO2dXlq7pgQ1etZ9KIktpUqyjS96EYTcWLRn3xOt0UCzkVxLMB/WxrpFD/niuMTxBtL1rzGeDTo+1axvkS4GfA88BO4FjgP4GVwKvGNnAniBxziBs3SKT0gmPG3ivHMXZefuw8bn68jesf3snHzltZNm3uQZcuN2s5yasjum9LJ9a6fkSOKUAnsxpNyef9ZqRqra2ubUHxoIJA647UO1vriHI5CIcxO3fQVF8P8yUtrbJSaoV0U3X6rq+X9LlYzG+9k8nAxo3Q2irrVHMlEn4gSMVVIhXH6JiyWbkWjQ6BH/HSVMDBQVnf2ysDUX9wTZPT+6L3RJspFQqyr54jeOxcTu6TNnDVZrBDQ/4FBSmOPJWayOoYNT1xppoX5MYSWJgBzCXxU4rxCaKFqLmKMJY3saTzpbX2e4GXjxljdgF/NMYst9Y+N4bjOkHkmBts7ujlyV1pIiHDeWtcutxkcO7qFpLxCNv39fHA8/uGJ8/F+ILI9XqabRy/KEUkZNidzrF9Xx+L6isPvJPDcajk8yMjHpo+p6pFIyYaEQpOzFMp3yZOIyK6rrJSHvk8jYuXDAdpMhnfJVs1Vk2NuNKFQn6kKJ0W8RSJ+KU9mmpXLIiiUUhq0ZGKlsFBf8wqZnSMKla0f5EKIhVRmt6mURmdSGt6nAolRW25g3VVxfc4uH2wvsja8g1cixuzzoTUtFJGCXNdaMwWxieIejzHyTERcL48s8j5shTrvecjASeIHIcPv39cokOnLW8gVRk7wNaOg6EiFub8ta1c88B2/u+hHSUFUbp/kGfa5VfIE1yEaNZREQuzdkEtD2/r4oHn9zlB5Jh8jJFJdjAVLJGQCW4yKSlj6rqm9TSaelZZ6dfmqBuaTvz7+mDv3uEUNBOLMa++nlQqPmyw0Nkp9UDRqIihRAJaWuQ5mRRRtH27pM91dMDJJ/tiadky6VXU0yOpdGK0UEv9sloxW+jokGuIx0XsaPRGhZDaWUejI5uoxmJyXcEUt0zGryfS9YsXy3I1pUgmZRDV1X50Sh38GhrkXnR1+SlzQftvFZjFrnO6nY5FnenKvY9TJUpms/gJGmiomchccJdTxtKHaJyiegzOl6U43nveNdbzzNDYp8MxPh7eJrnaLzrqwJbQjoPn4uMXAHDDo7sYyO//pfbIti6shUX1FTRVx/db75j5nLREhOx9W8bWc8rhOCQ0dUwjJcEalf5+f3lwEhzcR3sTaQdV3UcfmYyEejwFVFHopanJbyNUUyMtg4JarL5e0uTmz/cDUOk0bNsmEaNsVvoV7dsnekQPr2Zzw+Kkrs6vv9FmqpWVsr6qSgRLUBipSNFf0LW3UFCshEL+s3qB6zH0OGq/rRGf4j5Pasygy5VgJEpR0TRa+uyBJsATTfFY1EVvNhD8LAcjhvpez3YmoQ8Rkib3ZsT9sscY0+o9KgCMMcuNMZ80xqwzxiw1xlwE/AS43Vr76FhPMks+QQ7H6GzY2Q3gnLEmmdOWN9BcHae9J8dtT7VzntfTqSOT445nOvjtIzsBOGGRiw7NVk5aWsf379g8/CODwzGpDAz49m253MjJolq8Ff+iHHSmA9lHe/kUCiI4NPLR0yPL1MltYIAFi6tGuHhnMiJoNEBTVyfz65oaWd7RIY9Nm0TnJJMihoaG5G/tU6RpddXNnqd3KOSfv1CQawFZXlMjf6uJhPYlCgoXjSDoBFLXhcNyPJ1cBnsEBZsoKdqwVVEnOi2Y6uvb/30JRnyCQq1UdKbYvW6y0fdWx6mNZ0uNYarHdiD0s1ws/vUez3Ympw/RgZwvB4BzgQ8BVcA2iFXKZgAAIABJREFUxAHzc+M5iRNEjllPd3aQbZ3yhX70fCeIJpNwyPA3x8/nir9u5vpHdg4Lojd/fz0b2/zayFOOKF1f5Jj5LKyTSVtHZpYUKTtmN4mELwQ0ktLd7dtWq5jI5UYKI2tFbNTW+lbb4EeL9O90WtKUkklJGwuHMfk88+rraT22jlRKHONyOb+367x5kmWmOmHnTulB1NYmj/5+WLVKtq2q8ofU1qZz7zDzli71RY/6eO/dKzskkxKG0iKkYP+irOcSXF3tmxnodUejsn8i4Zs1RCK+oUBV1cgaJG12G6zN0vuizhDBdK3ghDyYxgd+KmKx2IKprysq/hyMZqgwE1zxggSFnFqs9/X5dXSzncnpQzSqu4+1dhvSvPWQmAN333G487gXHVpUX+HstqeAlx3dyhV/3cz6TXux1rInk2NjWw/GwOvWLWLVvGpes27hdA/TcZDov6Gu7OA0j8Rx2BBMgdIohNa1aBqcemYHG7WqA12h4G+v4kIjSDoh7uiQv6NR+Tufx+TzpFJN9PeLrtq7VzYNBm3q6+XQWsrT3+9HjcAP+hQKfnablPqEqW9swqiVttqBV1b6z2q7reMO9hDS6w2mVVnrTzjVeCLYh2lgwF8W7OukznvB4ygHEjNqqqDHLTWZnWpBVBzxGa2maDbXG81GJidCNCU4QeSY9Qyny7no0JSwdkEtsXCIjswAz+/NDkeGVrZU85+vOXaaR+c4VFKVIohy+QL9g0MkonMgjcMxe9B0ME2lC/5qrvbRKgjUnCAUkvBONOpbwWnEqaZGjpPJSE5bMinhnvp6yGapPbaefGOYbNZPndPWPtGoH8ipqJBhtbfL7s8+KxGhgQFJo9uzx+8N298vwSvpU7SEivp636FBa4hSKV+4aV1QIuGnfnV3+45xKgCCkZBgHVU0OjLEpSJJzRWyWT+ipART7vR1qWiKKkDdv5QBwEyLwswGrN3/PZkLOEE0ORhjwkiTpjcDrUjDpSuBz1krst9zn/gM8E4gBdwJvNda+8w0DNkxDTy+U1wbXf3Q1JCIhjlmYS0PPL+PB57fx1O7RRCduMTVDc0FkvEI4ZBhqGDp7ht0gsgxucRifgoX+GYIQee5aFTUijYY7e2VSVUy6U+udDt1RdN0u6BtdSbjN3FV5VJfT8P8+WQboyxc6Geq6SaRiESPKitl81hMDqNeDVu2yHa9vbJtNiunyGTkWPk8NDdX07LME2LxuJ9np6It2Pwo6OpmraRT6XqNGoVCcgwVixoF0dRBTR/U6JCeK1hPo/fnQAStwctFW1wU5uCYocLgkHCCaNL4J6SY6m3A48BJwI+AbuDr3jb/CHzA22Yz8O/ALcaYNV43bcccZ8MOiRAdPb9mmkdy+LBuSR0PPL+P+5/fx9OeIFrnbLbnBMYYaiuidPYO0JUdpKUmMd1Dcsx1VLBo1EPTvVTgaEqYptZpfx/wJ/X6ujhaoeIKfAFRKPhGBB0dEItRVzePbFZ0SGen7JbL+Rl56l49OCgRIQ28dHX5GXHV1b5TnWoRdQ2PRAwN9fUj7bQrKvxQlF6vihodX9AJTq+jVHRHKTfZ1Hs62nswF2pYZgP6OS5+r2ZCj6dDRT+zozFDr3Omf/pPB6631v7Oe73FGPNG4BQYjg59CIkYXe8teyuwG7gYuHrqh+yYSnpzeTZ19ALOUGEqWedFg+7ZtJcd+/pGLHPMflLDgmgO9cdwzEy0v1B3tyiQaFRCL7kcLFgw0k47n/ejJNZKWEbriXp7/UiF9usJiqSBAXmt26fTvsjq6CC5NM3KhQvJRarYvl0y2rq6JNNtYEACNUuXSgpdMgkPPigpc5qlpk5zOtTFi/2SHpChNaxZM/K683lRV+CnohUKItL0XgSd6YLNWjWapC586rSnx9V99NgqNhVNtQvWLJUyJ9C+R14/pyl1bCvX2yi4PJGY+nEdCsb4Ql8NKvr7/aK12c5YrmM0C/dpZKYLoruAdxljVlhrnzbGHAe8EPiIt/4IJJXuVt3BWtttjFkPnIYTRHOeJ3elsRZaauKu780UouJnsydGG6piLGlwTTznCrVeHVFX3xzMcXfMLDSio45o4FtLq2DRNLJoVLZRJzadUGrTUp0Y68Q+EpGJsx5DHd2iUd/VTdPLvF+2442NpFK1hEJ+IKe/f6TnQX8/LF8uwmjjRj9Frr3dD95Eo74TeGWlLNvdHB/+Ab22MiQramr861TRo2lv4bCfTjg0JMsqKiRdrqFBCpd07MH7pOmH2p9Hn1VQ6YQ0+Eu9ru8vSqwJ9kXS7aZCfAQ/A6MxQ6MNZQnez2DaokYHy6HrZrrwcylzk8YXgRpgozFmCAgD/2qtvcpb3+o97y7ab3dg3X4YY+JAcPZcPTHDdUw1mi7nDBWmlsZknKUNlWzZKxOTE5fUYWborz6O8ZPynOa6nSByTDbB+hdjRk5wg1bEiYQvFlQQBSdWwaalQ0Mjox3qXKeTyUQgDbSmxp98e9GWmqW1w6lvnZ0je5hqv6FFi2R9e7tso+lzKqQiEV/LdHXJ67Y2X68kk1HClZVysKDA02vUvDsVgWp5rbbdqZQs12vWGqpEQvbXawo+B8WMRsuC6YT6HgSjMsG+SOUmsrp+ImuJ9GaXixIp5cwgZip6j5WgOConiIKNZ8cjiA507yYDJ4gmjdcBlyLdaR8Hjge+ZozZaa398SEc9+PApyZgfI5pRg0VjnaGClPOuiX1w4LIpcvNLdR6u9tZbzsmG53oa/RG7bSD9UTgh1lAlqsbmz40FU5d6gYHxeqtsdF3O1CCE091euvpGTZZiBYK1CaT1CaTVJ5YO9weqL1dhllRIXpk4UJobZUo0fPPS+NWtedWfdbd7WubZFL0V1WVHKu5eR5hDS9ls37fomRSnlXk7NvnW1+3tkreXkODXFtXl7/vggWiusJhKWiqrBRHiMZG2LHDv+Z4XO5BUEjkcn5KoqIT8aoq//1IpfZ3mtPUxOLJerloUjkBpctVgUYiIwVyMJqokaxg5Etr0UqdL9jMNUgsVnp5OcYrMoq3D6bMBUW6rit1z6qq5MM0Vle60X6cDB5/vNc+FpwgmjS+DHzRWqupb48ZY5YggubHQJu3vAXYFdivBXh4lON+AfhK4HU1sH1CRuyYMqy13PWcNI44bqETRFPNSUvruPZB+WdzojNUmFOkKiWNqKvP1RA5JpmhIb+ZaiTiiyBdHqyP0RQjjf5obYxOOHVyp4JHJ39BtzVjRk4C1RUhkZBCoEhElnmuCbXLkiQS4eHA1NCQaAyQ4WSz0NIiw+jslN0yGclm0yw3zezTOiPdL52Guvp6f2Ffnx/1CTZWDRaq62Q6aLSgOXqJxMh15VLjjBk5UdftggJJI0u6XCNFpeqMdP1YCaY3BselaGQoOHEOhUa+h6XGMJoLXrnUurFEoZTgPRlLpKZYiKm1un4g9JoyGXldnJ4YHKNayRcfH0aOXftaKcF/H5r3qWgd00TafztBNGlUAsWf4iFA7+ZmRBSdgyeAjDE1wKnAd8od1FqbA4b/VbtUn9nJQ9u62NHVR1UszBlHNk73cA47Tl5aD0AsEuJYJ0jnFK45q2PKyOVG1vOoE4G1vnFAKCTqAWRdX59MBjWSZO1I8aMubWoEACONBoJ1Mu3tMklNpXy7uHTat/lOpYhXVhKvrySTkbmCzh/Vm6G1VTbt7JTDtbXBzp3+PFd1XCrlv1Zn8FB9FbXe8mGfb40UqFDTiWzQWhz8lLdYzBdPKqB0kMbsPykunliry50KomKnsMHBkbVXxZQTE+VS2UqlfxWni+n7fiB7cE2RPJCgGRoqLXw0ChW8R6NRajJf6nqMkfdC55cqpqqr/dqwaHT/e1Qs0IKNe4tRcVP8/uq59P7pjw2aBwqyfTw+8f2QnCCaNH4L/KsxZiuSMncCYqjwQwBrrTXGfA34hDHmGXzb7Z3AddMzZMdUceOjEhQ8d02L65UyDRzZnORLrz6WuqqYu/9zDG3O6mqIHJNOZaVvphCPSz6aRg+qvfLeUMhPJ9MUO62n6euTZTppVPvoYJQo6NAWtK4eGoKmJpk85nJyLIAnnvDz26TgByorWbx4CR0dIzP1Ghtlk5oa0XLbt4s+aW8XszhthaR9Y7UBbNCRLrmiinAKXxA2NkquXU+P3J/Fi0V5dXeLqqqvlxM2NMDevb6I1Fy9WEzujRYsaa8j7fmkEaXe3pEW3sWT6XBY3o9gzZUaPASjbGpMUSw44nG5r2psoetKCSWtFwvWKwVFrQo/2F/QqYhQis0YIhHfrU8bReny4LUFPxfBsQcjKypyiqM+eg16P7VHljYR1uvR+6/ueHocDSUGxZW+B+WsrDXtLkhxpK3472A0bzIMKZwgmjT+HhE43waaEaHzXeCzgW2+BFQB30Mas94BnO96EM1tCgXLjY+JILrwmHnTPJrDl9edvGi6h+CYBGqdqYJjqtDJrEY2gsX0OnHTZcUTuOLeQ/qsKXLFKU46EQ4eRyewur82GNJlXV2iWiorMTU11NfXkU77gZJgll5zs5xC0+EGBuRZa4ja2vyyEU9jkcmIvkmlqojXJ/xImF5fJCLCR1PWamrkkUz6om1oSJ6jURGRg4MyiOpqeVRVyUNVW7AhbNChD0bafAdTvDSFTYWBije9x3qfg0JB1w0N+VEoFbSDgyNFUvF7XspsQN/fYBQlaKUenIwHo0Z6rSDnDUYLg1EaPU5QKPX3+8YWej/CYRGr+sYHBZEKu2DNm4YDNeIXj8tzLucfM9iMN5fzo3KRiF9TVpyuGEx/03XBe6ANffN5/z0KihH9HJSK+h0sY+lDNENNMGa0ILLW9iB9hj40yjYW+Dfv4ThMeGhbFzu7+6mKhTlrRdN0D8fhmFNohMilzDkmnWBthE6kgsv0WU0FtOZCowf9/SMnitb6v+rrcQYH/X2KIyFeY1ZqanzjBf1bU9gCPWPCra3Mn7+AeFzmxPm8zGO19KmyUuavasLQ3i7bdHXJ8PfskaBUJiPb6lw5lYKamjBHLF7sp+7lcvLIZkU15XKwbJmcIBKRXL3+fqirkwPU1cnrmhpfCFVWiiWe9mlSMagCU0+uDZVaW2W5bpdM+tEmLYpSIaXiSh36giYIeu+D762+T+qEp+8XjOwbFYwkhcN+9KS/f2SvKe2cqwJHRYseJ5fzrci1X1M+76dchsOyj4oqFUv5vB8d7OiQe6lvVEWFXxc0OCj7aS5kf79/TxoaRl6LRpmamkYWlmmYsLpazqnW51rbFovJe6+hxV27/GMFo6ZdXf591M+3ijcVYyokddxVVXIuFXcTgetD5HBMLb9z6XIOx6RRW+FMFRxThKYNBdOLiq23C4XyqU3qLlauGF0jBcFePyoEtK5E91XBpOJL/1aHL890oSIWY+G8ejKp8PA8VfUTyNwzl5O568MPM8KlTi/JWtEa1dWwbZus7+mBSCRKa+sioqGQHDidlo6w7e1iY6fjqqz0FVWQRELGWlXlT/L13uokeWBABqiRh0LBv/ZEwp+wBiMrqZQvSqqqfDdANXNQwaCpXjoJD6agqWmGTtK1sZMx/nihdAQhmBqm1xyJyA3U90sn/fom6HWoINJjZzJ+ymUq5Udkenv9Gi29brVG19S96mpfiOtDo0HauCoUGnk9QXFe/D4pVVW+I2ImM7KXVvCaVZAFzRk0iqTpokGxV4zuo/d+otPXXMqcwzG13LxBBNHLXbqcwzHhuAiRY8oI1vSomUJwwqTLS6XMqRtdoTC6y1mpvi/F64N1KMFaEDV2KBRkwvz/2XvTMEnTqkz4fiIiY4/MqMysrKWrqqu76eqm6YbuYXcBFB3AURkZ/UR0ZFBAcJTBb75PZeRDES5RUUAU9VJR0BFRR4RRZBk2lZ2Gbpqmuuyt1q6uyqrMyjUyY32+HyfuPCeeeiOrsipyqa7nvq68MuJdn/d536w693ufcx9T11KuVjE+XliJdxcWtOyGcf+xY/KZdtz2RT0zlc6dUw+JQkGW7d29UxsYUdk4cUIlqOFhCdSrVTlYoSA/tMBrNOQnl5PtWQtEVQDoTTejykL1ydbGpNNyXBIZGgPY9C9OAueNaZAkrCQAdM9rtXqb4lLpsfeY4+PnsI9Uq6XkrNlUdYSo1/XcnNhWS5gnSUW5rOl/NmWON4pkivVX/Dw8rM8S1TGmA1JR5OfQ9Y1W5nxgaLawzbi11moyJiqUnONSSefLGiTYvxM+51aFszVJ3Mb2NxoUIiGKiNg4nF2o4+TsMpwDvu3G6C4XETFosIZofrmFdscjndqaKQ5XI5xz+Y2skXXO/SKkVcXveO9fyzEA+G0AL4Y0Of8YgJ/23odN0i8MBnwkQjQFsG/cAe2Fw6IcBt82AGVgaAN09nCxQWoIqgVMMbKGAUybazaB06e1X9HcHDA1hWt37cLOnWMr6o+NS21G3tmzUkPUaGjroMVF2YcNXgFZNjMDnDyZRqk0hkplDNceGNVA+ClPUSWhXAauu07GNT4O7N6tUtTBg0qAnvAEISE7dgiBWliQAZ08KScdG9OUq2uv1VQtupAtLcnAh4cl+KczYLUqRGl4uNfpjPesXNY+TyQACwsy1lZLDCFouGAJEQkGFSkSgoUFtesjYdi+XV3UmHZHwtVoyDVWq3JdnY5cJ0lWqST785mYnFRCxnOk00JUSiXZbmREn9lyWeZi/37ZZ2ZGekFlMkpeSyU598KCHL/RkHFOTEhvqHpd5uPAAeCWW0QFJAljKhvvI9BrXTg6KuNl0Ro7AfM+TEzoOj7H/Jvi30nS38PlIBKiiIiNwwOn5R+EvduKKGbjIxwRMWiQEAHA3FIT20rZTRxNhHMuBeCXALwKwA7n3AHv/cPOuTcBOOK9f/c6nfepAH4KwD3BqrcD+A8AfgjALIDfA/ABAN+65pOQOZAdVKsSgHc6Wu/QaomM0un0prNRGWD+Ge2Tae2WSulvptUxALdvynlc6wZmm1cyaFxa6rUx7spCuWIR27YVVohOraY9UbdtE3M4msBZ0wVAs7MoPJw+LcOYmNDyqGt3l+VgExNAtYqlTg5nTwJ7aaRAokPVYmZGdpyYEOVhZkbTs6jQDA/3Gilwnm3KHB3/ADnW4qLWEeXzQiZYr8TgfWhIiA6JDWt3OGflsoyVtTq8n7YYn6l8nHM+F9yHKWyNhhIV73uJMNP3Oh2Zn23b9FhM98vl5Fgk0nv2yDUuLQnZYJpdtarkhvVEo6Myr9PT6lTIZrl8rgoF2WdiQo9F9zlKhCT0lYqMvVqV37we1hDR7INqX6WiTXIXFrTGq1JRQr9zpxarhRb1TLtstYD771/zn21fREIUEbFxeGBS/uG9caJ8gS0jIiIuBUPpFMq5DBbqLcxEQrQV8HoALwXw8wD+2Cy/F2I6NHBC5JwrA/hLAK/onp/LRwD8JICXeO8/1V32MgD3Oeee4b3/4hpPpCQD0NSo5WUNeptNYRWApsjRyct+55t/W5vBtCP2W7FEyDqSsR6EqVQ8hh1Xs6mpaKwV6apF5WoK5XJuJfZnZlu1KnFyuy2xM+uN5uZUjMjn1QOBIgIFk1YLaGIIQ8PDwPg42vkSZiaBo0eBvY8vaxBN9znW0rTbWqQ0P9+reg0NyTpr20w7aluTZFPQRkdl3cyMBvHNprrdkUyWy0IqqFZQ7Tt1Sm2lqSjRLtzW/zinyoe18KtUZNLotMdng2oSoOlzdLUjxseV+JBgMB1xbEyJHs0lZmbkHIWCnG9kRL3VqZLRcOHkSTmerbWyKYO2x1WnIyqec0Lw2YuINumAGiUsL2tK3+7dci5Avo+OyrhHRoT48p54L/uTZE5MyPZUhahskjiWy4M3OIiEKCJi40CF6MYdlU0eSUTEYxcjhSEhRLUGpLNBxCbixwG80nv/SefcH5rlXwdw8zqd810APuy9/4Rz7vVm+ZMBDAH4BBd47w91+wU+E0AiIXLO5SDpdYT8A87A2vbMoVrAIHtoSAJABnTFYq8NtTVPADQYZmDKQnq+pecbdUADT6bLARJM0rGMxIipSSRCBJlNo4Ht2/euiCKtlsStt92mmVk7d0r8fOqUZFQxq8tmBo6MyLIzZ4QDtFpShzQxMYLKeAcHD2p/o6XiGAoHDsh4JiYwNTeE6oFdSKdSwJ13SiA+MSHpWGNjctKzZ2WADMyXlmRQBw5o8D4xIfN65IjKWqwbWliQtLDhYUkFY/ocyU0mI8cOsW+fpszZ+WYqJKD3P5fTtD3rNkijApJhppKxj9TYmMwFiRMgEz86KhM7MiLk4ehRuRnDw+LAR1eLvXvlp92W72fOCFm65RZRmULThl271Gt9YUHmsVSS8+zfL2OyfYboFmcdAkmuyaCZEkgXPUCbB+/ZI3PLRsacw3RalrfbIjGSXFF5qlQkPQ/otSi/GEe4tSISooiIjUNUiCIi1h8jhSE8MrOEmdiLaCvgGgAPJixPQcjJQOGcezGAfwfgqQmrdwJoeO9nguWnu+v64XUAfvm8pawV8V5dsdjDhr1rCAZbdE6zsIXlVAjs22+qCNyOx2cakQ0UWaNE62ueG1BnO6bPsWdRJoNyySOddshktCSn0ZBYmuU4TKljSyA6LLOkY3a2188AUDEjv3sbZmbke6sl3GbvxATQ6WCpNbQylG3sU0QlAFC3NDo7UMFguiFrcMbHJcgfHRXmxmL8TkfmwhbhM/C2BfsjI6pQ8N7RZa7d1vmkVXejofeE6XwkQ7Z2plxW0sX0uXZbzR4WF/We0YmNkwfI8cpl7cnDtEkSBuuG0WzKOdpt2b9U0jHxhzeXY8rnZe727pXPZLx8npi+RwLN1EzWahWLqg6xzog3ms8lt+cLA85vLqeqXcm8vGLKo+09xfW8X4PuCXQxfYgGbeQwIGzNUUVErAJViCIhiohYL9Bpbi4Soq2AgwC+HcDRYPkPArhrkCdyzu0F8DsAvnvA5g1vAfA2870C4MRKWpF1xQJ6G4cCGlCyTwvdw+g0x+DO9trJZlU1YndUBqlhahzT6ZimxICeipC1K261NLC39sUzMyhksygUU1iYKCCVEt507bVCithSaHFRzRVOnRIBgEKVLW+hO/b0tA59elp+5uZE6MhkcigW1WNgZgbYtntUgvNCQeeLZIdF+TSxYD0Ma7h275Yf1icND6syxHlgSiOtuJ2TAQ4Pi4oxNdXbJJcElfsxGC+VtPbIBvys2+K9cE57/XQ6oq4wn7BUkvW8rkxGa3dUXhPCwR5L1nhgeFhuTq0mk858xn37hCgBWvcDyDhoFjE3p8S4VJLj33qrbHf33WqOUK3K9rx+khnbT2h0VMZJZYi5lbQkJ5jqVi7LwwOoJAnIcaxjIK3bqb7ZZrqZjHrFDwqxD1FExMZgaqGOqUWRoB8XFaKIiHVDtN7eUvhVAO91zl0DUYVe5Jy7CZJK970DPteTAUwA+JrTwCUN4FnOuZ8B8DwAWedcNVCJdgA41e+g3vs6gJUOqivHXlrSpp18g07CQ3bA+g7WlTDYZrNVun4BSoa8lyDfOsfxbb4MQH4zpYnNMZtNDVrtOZguxYCU56UaQ8mnm8p17f79GB0dWnGYA4CbblIh4MgRIS/FosS1FDKWlyWmBSQDbHQU+Ld/EyFkfBx48EGZInonTE2padypU+R9OdzwxCdKE9dsVlK5OHckPrmcppdNTkqKF1O6aERBd7SFBa1HoZtdsajpd9WqkJBiUbbj3I2NyQDn50X6Gh8X0sD70G6LosLPVEJ2doVG1nbR6pv22XfcIcdkv55cTut1SPCYjvYt36IEgrU82awqQ/v2CVGo1+UGHT8OPPSQMthmU8bNczNdcHpaj0uFkxJdNgvcfrtcQyajroCplKTfAbIN0+ZocMAeUXwZQHMJ5mGy/xEg+4x3XXaHhrSWbnFRxsnrpAzJRlenT6sSu7go92uQiClzEREbgwcn5S3Qnm2F6DAXEbGOWGnOGgnRpsN7/yHn3PcBeAOARQhB+hqA7/Pe/58Bn+6TAG4Llv0ZgEMAfgPAcQBNAM8F8HcA0CVn+wB84ZLOaJtu9ltOImN7qfSrgyA58r53Wx7HpuzY41ozBttolOB+VKtoQsA6GqoUzgGNBrLZIRSLWhbF3puA8ixAbbhZXkMhxv7Qg2BmRuLYXE64BnkADc/I12544n7MdipoLQBjVA0aDQnoSQ7ppkeWxt5Gw8Ood4aQI7khWeTgduwQskNpamFBtiFh4oVVKkp0rJJm3d44l/W6qhZUg1otuVjnlByw9xHd0qhwsP6pWFQlrNGQ/VifMzqqaWRUesbHlTRce61M9MyMMFCmRu7YoTmMnCNLkklIuJ4GDCTQo6M9roQANF2QqYEcp1UxaUVYLqubHtfzuSQB4708c0YJkXXmoPWhTXvkfA8SkRBFRGwM7u8SogPRUCEiYl1B6+2ZpcYFtozYCHjv/xXAd2/AeeYh7nUrcM4tApjy3t/b/f5uAG9zzk0DmAPwuwC+sGaHOUDrOVgDwYCVjTsZsDHQopqUTkvQySaifHPOQBCQILVY1NQwmiSwnwzf9AMaoDabEnzyjTzVC0CbePL4ZDmVigaz3fSpdr6E2pxu0m5LfEuRhE7i27b1KjytlpaZLC/LS/10Wn4fOSKnpRBw993SbojxdjYrYk+tBoyPj2BqSra/4YYRcbEbBaazuzCWnQfuvVcCe9rbFQpAtYpHizdg4ZRMcbW6A3uur+rASX6uuw4LI9dgvvp47BpeFNvm6WkZyK23qvnE2bNysTt3yrkmJ+Uix8eVjJw6pWldtvYJ6G3USnWHjnVMM6Oz3smTch4uazblh2NgKuDZs0JyxseB0VHUJ/Yi1733952o4Obb74Cj6QEAjI6iufta8dmYPA6Uy1hqpDE5M4KxsRGUmQ7Xdcc4XhtDYwa4gRbYY2OYLe6StkWFttzEbFaUKVoKDg+jvf8GPPwwcOPNQqTa2QLS99y/KqneAAAgAElEQVQl6zmWTAbtndcgPXdOZUc+yzR3OHhQ/15IykjE2MuKOZgTE5qyOChEQhQRsTF48HQ0VIiI2AgwZW42KkQR5+PnAHQgCtFKY9ZLOhJrgBjsssCGfXFIRmi51m6rEQLT59JpCXJJrAANzGx/HCpO3qtiQrBPi+2JxBoljmXnTn37Tvc1pjdZA4NOp8dTwMakrZaa6uVy6lzNNjNsKzM5Kb9nZ7VcikNrNmXZ9dfLvg8/rOVPS0tyji9+UQWGM2c0IwsAyuUKqhPPRC7XFQl2qBh25GGJtRcWJItucTGH0eufvnL5bnIS2L0bxw91j7+vhF0336x1SpkM2o+7Ca0WkEO3AIopiOPj0kiW95spZ0tLmtbY6ch2VELI9qi8ZLNCjqpVLC07FFJ1GfCtt64sn81ux0je1OHs3o0z02nMnQSy2b2oPmMvKtk6mqkcvvxFoFodQyYjmXKNBrB//20rDXW3jQEPHZSh3HTTXjxyRM3npERoBHv2jKDtgPkOcP/XZC73f8+3YW5O5ujkEXLyNPYfeCpSKeDsMSA/fhtSEzLMI58RTrd8ewnOCSG9/fY7kO40xXY9JX8Hjz4KlErbUNy3DblW9znNZDC7nEOnk8O2pzxlZR6XUECj0Z3G/YBbmJe5IiGxf1+DQiREEREbgwe6ClGsH4qIWF9UuwrRbDRV2HQ45zoA+uSVAd779Hqe33v/nOD7MoD/2v25fJA5UI0h4aFCYN3jyAZsihvdy0K7beaasd+OPQ+NEaxdN4/Fc3Ac3Ifkx9ovs5aIBfKrpCBR/WH2EjE0pFldMzMSz87NaSZXNqu9OLm+1RLBg1lSzErjebJZJUTs58nMLF7m9u06XNb5z8xIzMw6/KkpzXabmwNu2rcPpyfdCmkSolXAtuuvlwOVy3j0UeE42WwOO3fuEmLE+8IBsW4mm9XUQ9aPMa+QdU+02S4W0cQQTp8G5k/JYarVHKrVazD2lN1Ap4OFpTQOfgPYvz+HSiUH5MZw5phcE83vAODmm3NoNMSY4uxZOcXkpPLs6WktRzp+XM346Fxuy9FYavTII9oS6N57tXRnelrFTXJDEl+KS48+KnNN/4ZWi1l0Q90et2mkUrINzzE+XpJMvI6OaWbGIZ/PIZWS54KlRXNzXSK8p7IippbLwLljc32f10tCJEQRERuD+0/HlLmIiI3AiqlCJERbAT8QfB8CcAekWev5VtZXEthcklFpxfzbTtc55o/xbTabrC4tKTlirRBT8AB11CKYysX0NhIiRqskNZWK9jZqtbqe13lVm1gMZPvhsMlnN5WLHhE0LZudld3m5iQQPn1ag2zyLPYj5VApYtn6emYTzs0Bhw6JqkDvicVFOX27rWU0i4sS9O/YIel5112nQfqRI9oyhyYPNCBLpYCvfU0FuN27xbDt86knrdQ1kUS0WsCp/A40GjJF9GtgzVM2m1speZEapxF0OsD8UaDZ3IFMRrK3llNjaGSAKuTWUO3KZIDhFDB9Um8f2xHdfz/LhxyKxTRqNSEtgMzZyZN6a636Rp5FM7t2W66PouGpU/p4AHqLSap4D6anNXuNRNU54POfF8EqnxeyA6iXQadLYEhu2215PkgweeylJX0U7X0HtAcufSTo8t11YUeno8cbHpb1fEdA8zv2xRoo1oEQOedeB+BFkJ5rSwA+D+AXvPf/ZrbJA/htAC+GUa2996cv9jyREEVcMTi32MDZBXnTdENUiCIi1hXDrCGqxRqizYb3/kMJi/+Xc+6bAH4YwLs3eEiDA00OGPHTCIGRKEmOjSZtvRBhgyxKGlQeuI4OB4wyeQw2t+RxmJpl5RObtpXLaa8bRqSMqmmtPFRYOSUvje1tKHZRhJqYELI0NdXbwocCycJCr7hlfSGoVLAOnySK9t5LS0rMbKYfBTbuz6w/ukNz7Nmscj6ayM3MqPpBrwDW79PMjKBa1WyqC7i9TbxVFPuoVNEVnCTDlpLRZY+3kIra3Jyer9EQkpHNyjzU68p72TOVGXWcV/b85RzR5I5zz7FZcwu2xAr79rIdU6ulig6N6OjbQBWQ5IUlWjQ6ZKYm56FWEwLDZ8qe1z4HFFZZQkRSTf8F/tksLKyDA/b69CF6NqRR9FcgvOXXAHzcOXeL976bN4i3A/gPAH4IwCyA3wPwAQDfetFDX+uoIiI2C189eg4AsHe0gHIuProREeuJatdlLqbMbWl8EcAfbfYgLgutlkTK7BPECJUEha/x2YvF9rdhulWno9uzPoUgIaJZAqD22u12rwMYiRajf/bDoRwyPKyRZbWqUgjZBPOtajVgZNvKoej9ICle8pnqTacjqWscUq2mQffysprXWX8BqgOcPvZapQeEbZFD/wmqN2zySoM3/tjpJyHqluRg2zYZa6kEPO5xYv3N3klsQcTWTTSC8L43G44Zh5bYcHoB5cG8BueUgNBsjr4bMzPKWS2xYybe8HDvZ6YB0oBu/37xHpiZUTO6ZlMIFPclt202teUUx7O8LMqQbY1F4765ORmj5e3z86ow8V6SAHE/Pg88d9jbls/DyZNyDXz0gF7S1ulopif9HpgyOTQk+/Ee1Go6/wPDOvQh8t4/v3d3918ATEJaBPyLc24EwE8CeIn3/lPdbV4G4D7n3DMu1uwlRpURVwz+6V7Rnb/r8Ts2eSQREY992D5E3nu4LdpM72qFc64A4DUAHtnssVwWZmdXbKoBaF4SoH1ZuI51QMwbajS0eIauAyQ3fL3O1+BsSsnIsd3W7/m8MBJ+ZwTL5Yy4mTpHZzluQzUpeAVPLnfmjFprM83KunmfO6fu1wxWaYDAywyN9xiEA6oMsbkrDd44vB071EH60CHhgDt3qqnDwYOqJszO9vbsrFYlE/DIESFB7bY6WN97rxxjZESIEtFsKlGYnZWfHTvk2klmAL1mQG4TTfw4N1ZJ47n5CExP6+2i8jMzI/uy7RKPwfljatmXv6zEky6AgCo+mYzcM+uxsbgIfOYzStDOnpVlJEckGxwXBU0qRFTRmEbHPql8RJkRSifBdlvuFY33SIiobGWzveOm1wfnjKoTFUObMsf5onHgQLExNUQj3d9di0g8GZJG/Alu4L0/5Jw7BuCZkBdHF0QkRBFXBBqtDv7PQUkF/Z7bdm3yaCIiHvsgIWp1PGZqTWwrZS+wR8R6wTl3Dr2mCg5ABUANwI9tyqAGCUbQjNT42to2nGQk3Gz2vmGmYrS8rBEmI2q+5ndOj8PzcT9ub00XrNrEnDOOkZIBx8j8rMAmnBl17AFKTsXTkfPxchgjWndxciybGkZwqAQvmeKY7d9p+9fOzKgSYzMFAXUlJwmh6jIzIxyRBIa3itstL6vyxNopKiS2vMvWRJGoWC7J9DDrdM7bksnoLeRxeHw7P5b8AEJcWBfFeaJqAmimYzqttUl0peb2nBNmcnJu+Jnjrtd7lTzOuSV4FCR5bbwW7keOn8vpse11VSp6j7lPWOpGkmn5P4VSzi+5O9WvgWFthKgSvGirdxs494VzLgXgHQA+xzYAAHYCaASNogHgdHfdRSESoogrAp976Czml1vYXsnhyfu2bfZwIiIe8yhmM7hhewkPnVnEFx+ewgvii4jNxM+hlxB1AJwB8CXv/bnNGdKAkMmok5tzwiQKUn/T4zPN3KzlZYkWndOIkj1nAIkO2W8lm+1lBmQBjDoZmfPc3I4FGrWayBuMNEmOmNtkreIAbSiaySC9vIg0ANQa2L1724rDNPt6crg0W2C6FZUEClI2+G00zo83bcF9p6NDADSIrtWAvXvl3JOTokjxUuikxmmyqlMup32NJif1drF2iH1CWdtiS7UAIUksu+I6ps6Ra9r+pgRvC8fODMVaTWuUwtoiPhorNtOjst/Bg70kgcdnahqJVzotqtnyshg17Nyp9UrspVoqKbHlPDFbkq2wSN4KBVHOsllxn6NgSYVofl7ICI9FAweWqHG7TKa3lojj4jNBkkiCNzwsyk8+D9x5p6wfGpLaL5ot8v5Vq/17Il8y1kaITgRr3gjgVy5whncBuBXAt619cKsjEqKILQvvPVodj6F0Ch/5hqTLPf8JO5FKxdSdiIiNwLMPTOChM4fxz/efiYRoE+G9f89mj2HdwMpzvtKntRiZAQtH+JmvuAnbe8hKMt7LsScmtLLc7lMqCUPh/swfa7clYnROllkva8oVjLDZyIew4+7KA75YwvSkkIOTJ0WxOHtWet4wwAfUBIBC0/XXyz62+J6n4GnsG39APpO4ENxmeVnc5rivdQufm1M+SI4JAHv26HK2eVpYELKRz2vxP/uccizsdUs1hs5uJDl0fqONNKesXtfaIyofVDDIbev1XhWKqW/ttswV9yc5oaHB4mKvwsN5LxZlXSolznJ8PPhYko8DSox4v8jDbU0O79Phw0KK7GOVTkvqGu8HiZAlNs2mptDNzsr++bwea35e/yRmZ/V+8V6eOSOP9tCQzhOgaXuAzv30dK+p40CwNkK0B4DtDHshdej3AHwvgGd57y2ZOgUg65yrBirRju66i0IkRBFbFu/+7GG8+cP34flP2IkvHpaW2y+47aLVz4iIiMvEsw6M408/J4Qo1hFtLJxzT7zYbb3396znWNYdzKtiNbpt1sr1/G0tyUKCxHoi9h8CNFK0JIqMwHpME2EOmf1ux5C0D+UJsx0VgEZDguuFhd7+MzZVyhrrFYvas8aacjHQ5zqbAkX1hp/tkK3tNfcL1RmbJkYyQSGO08Hjkb/yOkg4LO8kbOpWpyMEityVikqxqISIaXm8Tl4fndcseaDSxdIvQOuoSNhsqymbgsZMSqpjvF6bqWld96jQcT/Ln8PbT3MKOsMTVAFJgrzvXR/2DCYp5NyTvDGFkI8vr8GqTCGx5LZMUySZHCjWRojmvfcXbITk5D+e34W0H3iO9/5wsMlXATQBPBfSLBrOuZsA7APwhYsdeiREEVsW//vrYpD/0W8KwR8rZfG0/aObOaSIiKsKz7h+DLlMCo/OLuPByQXcGPt/bSTuhqTJkYWultyyro1Z1xWVyvl+zMztsQUZVpKgvRmXtduq1ngvkS2gEgIJCyNC5k8tLclvGzlaK+1Codf9gM5zNIFgdM/X93NzKk8Ui0AqhWw2vcK9GPgyXYlClG1vRHLE4VM8s8Og8mLrb7icBIlKE79bQsJ1gO7LAL5YVMJw8qSmhFFES6dFWWDfIwpttOKen1cnvUxGr61S6b0eW1/DlDiOx/JUqij1ei+5obpGdYSeGc2mjAuQ7RYXVaVptbS/EUETBz5qlnsT1uXdqkEklGyhxbnj42q9QcgTqMaRtNAgke8AOCeNhhpdzM9rr6mZGb0WNtodH9f5bzTY0FWvrV7Xe2hNOcpl9ScZGNbHdvtdAF4C4IUA5p1zfDM+671f8t7POufeDeBtzrlpAHMQAvWFi3WYAyIhitiiqLfauO9R+Ut9+nWj+NLhafzo0/chk75sd5KIiIiLRH4ojaddN4p/feAs/vn+M5EQbSyuM5/vAPBbAN4KfeP5TAD/HcDPb/C4BgtriZXNSmTMqK9U0giYkaZzGjGzWQ2gzgGMNonQj5jbs3LduhEwF6nRUK9oFvQwHyqV6vUqZjRu3RBMQ1mXSiGfd6hUJMAl2WBBO7ma9Y1gWhnriPibU0PHcWtMAJyfTWhT6+x0WCLC4JtkgOTJThtVBx6Talalovbdy8sy/jDW5e1lUG9hBWd7btpGs2zM1rnY5e22HsOaBtrzDA2paQWFQuuCx9vMeiWOxc6vnVM7T1Z14/5UtEg8mGbIayOxHBrS7e16kjWaKfI4VJ+sImb7CVEQZTYn65RInkoldQ+0LvPcb2BYH5e5V3d/fyZY/jIA7+l+/jlIbeXfwTRmXctJIiGK2JK479F5NNseo6Us3v/KZ2BuqYVKPj6uEREbjWcf2L5CiF7+7ddv9nCuGnjvj/Kzc+5vAbzGe/9PZpN7nHPHAbwJwAc3enwDg82NAjTKa7c1cLI5RTYdzr7S52t+1v7YSJnrCZvzRWZAdYhpe4yCba+jsOcRo2xLhqz1dxfkSNal27qvhVPBYNjWCNn0Np4qNBYIYeuFwim3ZGk19zpA07oY+JOkhLeq01EljFNqXevs9CaB3NdmHZK88Bj2lpMcWbc33jL7yPBYHJMlhNyWKWTc1hLVcLyWLJKs8hHmY0wL9KEhTbtrNLQxL7exTVWtOkhPj05HezzZnkiAjpFk1PJxKkrWXDGd7nU0ZIriQLEOhMh7f8Fcbe/9MoD/2v25JMQIM2JL4p4TkvLwxD0jcM5hpDjo7mEREREXg2cf2I43f/g+fOnwNJYabRSyV2521hWM2wCEefPoLrtlg8cyWLBgw74K5ytuGz0PD8tvVrLbSI6RLUEGYIssrBzBz3zNTrZC2Nwo5kJxG25P0sPcKUo4hQLQ6cBncxKgG5vnubnemhgG3rR+poBly55IehoNVYcYT3IYrCfqpxRZdzq7znJEy+HsGLg9e+6MjGhqmp1Ka/Jn64tIiHjuXE6JA29LLtdrLc0x00nde3Vh45zYGhuO2bqtcz4pPNJ80Npv87q4jGoRCRgfD6sShfVWYWxv1SObwmj5dSqlIqg9VljuZtPzSiXt+cRjLy31PpYUWplB6r2us1bhy8tyzSMj5xslXjbWoTHrRiESoogtia8fnwUAPHFP9QJbRkRErCceN1HG7pE8Ts4u486j0/j2G7dv9pCuRtwH4HXOuZd77xsA4JzLAnhdd92VC1v7w1fbttqeBRaMVgHtSMlo2Uactkao0VBZwrIFmi+QSDFdjuuZZ8VjcDkjeJ7PVqgzIu+qTzYortV6U51supUtb7IIL8kSoVCxYOBse/zY4/RDOB57/FBF4u2wzmW2UN+CygR5K49lzQEIXjfrgajWkERxf++VC1urasuLOS6midn+PySFTO+zt5DEhCQt6R4QVr3ib0tw+cNSM3sPKTaSxNmaMsISKj5WJJW8Js4lU/LCVEf7vsAeyz5DPH+opF021idlbkMQCVHElsTXuwrR7XtHLrBlRETEesI5hyftreLk7CkcenQ+EqLNwasA/AOAE845Oso9EWK08H2bNqpBgK+wAYnacjmJ9qxMwe1sNTmbvVibbtYW2e6hJEQkQSRYgMozJEVUlKydNpuwhsXiPCfVI2uxViyiZd7GkxABvZl3NpAGerldYFa3apzJFDAbRCchKfXLEiGrslAdCVUlpoSxrIuc1RI6mzrGabZqFLmnTYWzmZDkqrxVNquSpgm2Ty/T7Hhb7Rzze6ej6WkU9ew6jtve5vA44ZyFc2OX2ceV94iEknMCKAFMytC099wS7Hq9V3mz6pnNEKXyyHPYMdJ5zgqrA0EkRBERg8P8chMPnRHD/6gQRURsPm7aWcFH7j2Ffzs9f+GNIwYO7/2XnXPXA/hRADd3F/81gPd57xc3b2QDwOnTwI4d2mClWtVqcEAjSeYt2fwlywBsNMht6PYWKlCMuJ2T6LpSke24v3Oq/NA5gGwhn9feRtmsNuAB1KGu1UImM7QSfLOGpFpV9YRpcHNz8hOqJ1bpsQE6EaZscRqohNgAmNuHqXQ26LbEwBIQHoNOaZb4WNGN/hRUWdJpmTqrVljVxh6HrnFcx2zJdltuT6ejhIl+F+yNy6Cf1041ieNKSmkL54GwJNS6vXGe7NxSZeJ47f5A7/owRZFjsjVAdhur9oRjo1Bq1TerKllzC6uENZuyb6Wij//S0pVRQ7RRiIQoYsvhG4/MwnvgmmoB4+XcZg8nIuKqx01dd7n7IyHaNHSJzx9t9jgGDuvYRsWFUoANnMK6IVstzu92W2B1uSSpx5DN/7LRtX3NTlJGxmIlFmOwkE555PNuxfULkPoOG9iSz9mhJKXK9UOoTtjfNlBOSrULU8OSkESiaHzQ6fSWXVGlSEr1smMk0bGGCCz2J6yxAm8l+aglGdZIIUn9Cq8j6dqSrtmSEnuskDAmERdLJpMUHs6NffSSjgOoR4h9tKkOcXuSwVDJ4nH5Z8NH2D5nQHLfqMtCJEQREYPDPSekfuhJMV0uImJL4MBOJUTtjkc6tTWLYh9LcM59P4CPeO+b3c994b3/3xs0rMFj+3aJ2IaGxE5rz55eezRGg4yg2eCFskTYv2hoSAtebN0RU+F4THauBFT+ALRwZWGhd12nozbgZ8+qZZzNkxodBTIZ+FQarraIoVQKo6MFZLNyuBMntOh9bEzVDSpJJExJVs8hksgQ0MvZ7PdwP2u7zale7ZgcB1UaEgoSGaYEcj9LVngLS6Xe22e9LzgXTK/jWEigrFObvT6moFlzBY7VpiVaMmMVMc6PXW/rjOyx7PHD+iSaWnB87PXEtEMes1zunVMeKymN0vaj6ra1wvR0r+oDyBxxHmxJGwlpsynnDfsYp1K9qY0Dwfr0IdoQbM1RGTjnrgHwGwBeAKAI4EEAL/Pe39ld7wC8EcArAFQBfA7Aq733D2zOiCMuF18/LvVDT4rpchERWwL7x0rIZlJYbnZwfLqG/eOlzR7S1YAPAtgJYBKr22p7XMmNWXM5idbOnpUIjZ0inevNQRofl9+MHG0UHb4yp+kCu5fa6DCV6m24SnmGxT6ARu6WUAGqGLH3UOiF3e2F5IaHseBL8C3AtbVhJtWi5WXg1KleW2T21CkW5bDWdpsBtfV3sEhSfpL6FHHbJBWJ6oUlCPxu0/csP7QKV7msyo/dL/SkoDpixTiSHpZ48bYCWg4W9kriMS3f5T70xLCkzM4NU9/4OBFhnB6qblZwDK8r6Vh2njifnHc+ava84Ta2VilMtyM4N1TthgJDXttYl38G/AxICt1AcQUrRFtzVF0457ZBCE4TQohugTSiO2c2+3kAr4EUnT4dwCKAjznn8oi4IsGGrLddExWiiIitgHTK4cYJebUZ64g2Bt77lPd+0nzu93PlkiFAC1QYiddqybk9JCCUJNjh0koSJEeMrG2EmoSQ7FD+ADRqt9IDZY1sVs7NSJPkiZZfqRTqdbkUHnJpqTdWpFMayZCdjgv9JG3HZXYdLyspncpedpgSthrsOXls9sAJ08D6nS/MVLSZkCRK/N0vdk5K+fO+15UuvMZ+KW79xhsSzYu5BxfaNhxPWLfUL8sz7MHUb6x8nvrNvzXuYI/jgeJiHuAtSoi2ukL0CwCOe+9fZpat9GLoqkOvBfBm7/2Hust+HMBpAP8RwPs3cKwRA8LkvGi/u6uFTR5JREQEcdPOCr55cg73n5rH856wc7OHc9XDOVf13s9s9jguG2EjnslJWR5GvGxGMzOjZIVFLM5pcxUSFlvbQ+nFVusz3yuXk5+SUT23b5fjLS5qml02K72QuG21Kscsl9WprmvisNRIo9VSm+izZzUdrl7XdCpLKKiu2F48hOViNlUrSemxv2363GrBNo8B9KaK8Xy1Wm9rplBpsSlsqZRsz3QsK9BxH3JHqyhZ3ml7HC0uqsU2DQXtjyU4llzYZqf2GpNS6ZJIUUhYwpQ7e0/svHI7Kxzae8jP6XSvsMn1/dQ46x4fEikqcbxXtrcQ54E1a9ZJr1BYhxqiK7gP0dakaYrvB3Cnc+5vnXOTzrm7nHOvMOuvg6QUfIILvPezAL4E4JkbO9SIQWC52UatIf8yjpYH7QcZERFxqaCxwqGoEG04nHO/4Jz7YfP9bwFMO+cecc49aR3Od41z7n8656acc0vOuW84555i1jvn3K865x7trv+Ec+7GSzrZyIhEayMjQi7CBqh0hqN9Vj4v27HDJyDRItPcGLnn80JgbL5QPt9LfPi6nLVJVpZgPZJ1pKN/9vKyMBz+zMxIcUe30IXcqVqV042Oyk8q1WsYEL7Nt8F1v5fpF1Ik+N0uJ5Hp52DWTyWxwXq43DrG2fMMDakTOdfR5M+qEpxeOy7ODZUeEkqqSlbtClWQ8HM4l3wkwpS08JqSlCReK0mH3S4kaITd1jad5X6hgpW0rT0XMz7tfHOOwpozEk17Du5PokaEat1l4wpWiLbmqBTXA3g1gAcAPA/AHwB4p3Pupd31fE15OtjvtFl3HpxzOefcMH8ADDqLMuISMbUoryuG0g6V3FYXMCMirh6sGCucioRoE/AqAMcBwDn33QC+C8DzAXwEwFsHeaINT1Vn0UyhID98FW6DJ1aNt1pqhkBfYUDVIu5LRYcEiVGfZQdh9M9t+PaaKhQja5IyFgQxD46OCPPzKxFsKgUU8n6Fow0Py08SbNBqA3g73CRSZD9fKJ0rJERJSKpDsrU69rghYbDOaUNDvWYC4djtregXjPMWMLAPx5QUTycpNxyDrWkKTRTCa7W/w8/hdVsSlUSmLKEJCVPS+EOyZX9IKMN9kpaH80ryBOifA0npwLnJFUyItnrEmQJwp/f+f3S/3+WcuxXyj/B7L+O4rwPwy5c7uIjBY3pBCNFoKQu3RWXViIirETd3CdHhs4uot9rIZa7s0pUrDDvRJUQAvhfA33jvP+6cOwLJiBgkNjZV/dgxYOdO4MwZrdJfXOy13U6lhCwx0qPjwPi45njRhqvTkf1p31atSvS3sKC5XJQL8nk5FonV8rJE9Mw7oszDqJSdLMtlkXxI5hhpm/yj+QUnZgMlj+Vlt6JaZLNadtTpyCmZGpXNaqBKMwSmSHU6vZ+B5N/WoY1EyKZJcbp4LEuYwng1JBRczqCdl89zM0DnNRaL2gyV020N/ZpNVZXGx5UwlEo6pRTeGg25HTRZqNU0ozHsf5TPa3odsyq5zs6LTVHj3CSRUS6z82DJJbcJiVY4b9yO7baWlrQHMfclYeP+vKcUT2l+SAXOuV6ThNBMkQSV7xxGR3vTIpmeODBcDOGJhOiS8CiAg8Gy+wD8p+7nU93fO7rbwny/e5XjvgXA28z3CoATlz7MiEFhalHqh0ZLsf9QRMRWws7hPCr5DOaXW3j4zCIev6vPK++I9cA5AHshpOj5AOR72j4AACAASURBVF7fXe4weIe574eoPX8L4NkAHgHw+977P+6uT0xVd84xVT2REDnncgDsP+zCsMtl+WHkWCrJ53pdrbbTadmGuUOlksoRSb7SVIoAPa7tLEqVyf7kcmrmUK32Rv9Um2wxjS2csRF2JrNCOACg2VIyVCzK0Nlmqd2WyyKJITmiIGYDfAbNgAbOSSlwdjpsIG8Dbl7WhVLyrMrDAJ0+FjyWFdLsMWy9C/knp5H7M1PR3g5AiaE9b6Oht5u8lS7oltRxPHyfasdpG5lyXpLmxt5SO4+hUhbOl53LMF0v3N+aP9hjWXfA8DiAzotVeOwxSIZSqV4HQ/5JWCWN8zVQXC2EyDn3KQAv2sBCzs8BuClYdgDA0e7nwxBS9Fx0CVA3Be7pkPS6RHjv6wDq/B6ViK2D6W7K3Fgp1g9FRGwlOOdw044K7jx6Dvefno+EaGPxAQDvc849AGAMkioHAHdAWlEMEtdDUtXfBuDXADwVkqre8N6/F5eYqo5+mRnVqry25qv8sTFNSavXNeqrVmXZwoJ6BTMyBNTGjVE2oGl0gL5iT6clkraEJ59XK+6hIWBiQsgPpYliUYuAeAxbFBJIKq0WkEuJ/DG/4FZWVatKhGh0kMvJZfIySHQWF/XSh4a0Dw8R1q8kpXKReNj4k34TNESwRItTGhIiHpN8NVRHOOX0vSBBsnzV8lA79aOjOiaSJh4XUHJDTstzkEgtLPQaM3Ds9M7gnPGWcY75OyQxoVITusD1I0IXQ4gsSIrDtEOaH1jCWiz2NmjlttaSnMvt/NKsA9DSOTZ75bNlDRgGArLMC22zBbHWUT0HwEZGqm8H8Hnn3P8A8DcAngbgld0feO+9c+4dAF7f/Y/iMIA3ATiJ1fs2RGxRkBCNRkIUEbHlcNNOIUQHT87hhbdfs9nDuZrwcwCOQFSin/fedxNnsAvA7w/4XOuVqp6cmTE/L85yzOOZnJTojc5xQG+xAyP1Vku7nFrHOUaAJD58Fd9sqkRhXe2ck+Xbtun5zp7VUZKcsX4I6C38IWkCJLpvtZArNlYi00qnBVTLqLfSaDbVl6FalcC+2VR3MB6e3xkg79wp348fl31DBWhuTodpA1wOzTZCJRliKhuPZXvMEklud9wWAGZne29NNiu8cmZG20SxLIy3l2PJZmWslhRYNYNjIYEkIeh05Lg0EyDfpaDIa+OYbENXprr1q+uxTnkkZkzH4/Ux3i+Xdc6pbhUKmoJG/k3zQT6WIyO9y3n+el22uf56WX76tBA+a0DhvaQQArKMx0qnZc45V5WKLJ+b03nm2JnxyTGsm+32hbbZgtiaNK0L7/1XnHM/APmH9A0QwvNa7/1fms1+E0AJwB9BGrN+FsDzvfeD7r8bsQGYioQoImLL4va9Vfzll47hq0fPXXjjiIHBe98E8FsJy9++Dqdbl1T1vpkZfI1P0kIWQEKTZOEV2m0BGhkzP8t2/7THTgrYKAvwGLTwZmTeaGitEb8zSrZSgGUrHG93u1y5jEIhveLUzUOx1sai1ZJ6GQbm2ayqIrbVEoceZOytgCpHkjU0OSUVBu7HzyQPBKfRLmMAHrZrIgel9Ti/0yTBud46GR6DBM1mStq0L3sse2we15oZ2GvlmG26INfZx8HuZ5GUMmdT+qiSDQ31pvCFWZs2fY/3nmMi4ctk9Fih8QG/c5n1/yBCPxI79tARO5OJNUQWl0KIbnHOrdqEwnt/zyWOJ+lY/wjgH1dZ7yFk6Q2DOmfE5oGmCuPRcjsiYsvhKftHAQD3PDKLeqt9ga0jBgnn3H8G8FOQlLZneu+POudeC+AwzQ0GhHVJVe8L1u4wugW0Cn/PHpEhFhd1eb2uhRKlkhZHWEe4alWi29lZrT1iNTog56J998yMpuJR+uj2E1qJWms1Ua6YozQ9rY2FaO1NT2dKPmwUS+LU6WB0dNsKX6vVlAyUyzp8EqX9+/UQ8/PK0agIcFi2xxCnyKZ92UDcxqqWPFgFpNVSswTbo8YqLtxvYUFVB6at0cwAUFdyQKaJBIrjsWMvFHQctg6GShD79XovnwmbuchrT6V0nJafhvU55N6WKNk5s2TC/gaUx1MhCuce6DV24L1sNPRxt8ejw/vUlOw3P9/r+J6E+XkdF5+bQkGvMek9Qyolf0K8vqWl5GNfMq7gPkSXQog+CSnkDOG7yz0GX+QZcZUgmipERGxd7B8rYqyUxdRiA/c+Moubx+Pf6UbAOfdqAL8K4B0Afgn6f+wMxPFtkIRoY1PVq1WpG6Kz3MhIr08yDRQqFVlvU9Ty+d5UNpIjOsvZnKNyWQM1FlTU69KENZuV8zLCnJjQ8dniFyspjI7K97k5lWKOHZNjj41pMYfpjeQ6bTQaaczNKZ9KpdQAj2lzFMSs4zed6QAVqGzNTKjeAL3udJYIAVo/EqaPhQYOodKwsNBr5JB0Tu5n64HCWiYSIzrScVuqQVRZaBjIWxxyZ+eUnNnx2msiySGB5DLOJYmMvRbOC4lVkkpkiSZhj8sMTfZWIrmjAsS5okLGY7O+iGD7Lee0N1O7rcSRCtHyslwj3xNY4pfL6fhSqfP7OA0MV5lC9HQAZwY9kIgIIKbMRURsZTjn8ORrt+HjB0/jziPncPP4qskCEYPDzwJ4hff+g865XzTL70RCKt3lYMNT1RkJ8nfW/NvP6JgRo62eD7eRwavMAUgEaa3F7JvpVqtXbaIFF6DFNjZVz+ZI0SXA7gNIRJrN9uaPGSe7NtIrQas9tG3ISb7XbCoPC4NXS1jsNNjf/BwSEXsMBsesZyEpIEEIjQFsc1JLfHgOm64WEikqXLYPkf1NosD5ILGgqmLT3MJmtrZGyBojWHMC+93OS9Jyu78lFfbawnQ7O/fMqqTqx+PTEIL1QNyeKZA8Vr2u18Pj8tw8Fv8knOsVJjnPJGCAfLePM+fW2owPDFcZITrmvZ8c+EgiImBc5mLKXETElgQJ0VePnsOPPSUSog3CdQDuSlhehxCTgWJDU9UPHxZlha/4Z2fVV/maaySHaHoaeOghJTXVqr4CLxS0QQvljZkZfQ1/9qwyjLExOceDD6r8UqvJfmNjGmmzGp25XN5LJLl7t/yemdHIlkpWPg/s2ye5YaOjGtF2Hepm5xwmJ2U4U1OaMjYzo4XvMzO9vV+XluQymHoVqjFUHGx8adO2bG2M7R1kSQ9wvoEAyVDYXNWmnzFID03FbE3T8rIIb/m83FbC1gix3267rcoGHepyOTkGiRKNB6zSUyzqnHGs1rCA21lSl1QbZQllSJLCOiNbd8XHhOl99jh0abdjo8rD81q+PzSkIujSknxmHZUlLyTOnEdbP8XnJqzvsu8QikX5/sgj8qc0UFxlhCgiYt1gG7NGRERsPTxl/zYAwFePnoO3blsR64nDAG6H1vEQz4cYHly5GB7WdDR+D/OkbI2OTYUrFGR9u61KjI3QaZTAvkaAqkhcT3UqnwfOdc1Cdu2S3yzaoVcxI/dKRRvyMAJndMxjl8t6ja0W0umhlU0KBa0hyueFJLEHEQmCbTRqVREG0tahLLTjtkqFXU/lgp9tsG+tqBlY2+XmUvoSCLsN911aUpWHKXKcWgbsBFPl7DgIkhnv5Zbaa7ckzMbaVgWzxCckeHY/SzrCGiSrPnH/8Lr53ZJJKkK8Rp7HqmeETQdkzRS3p88I/T3s88BnhI8ss0lDYZTzCOif3kBxFdlu/zOAxgW3ioi4BNRbbczX5S819iGKiNiauPWaEWQzKUwtNnB0qnbhHSIGgbcBeJdzLg+p1X2ac+5HIL19Xr6pI7tclEryw+puNkWlqgNIRFmpaF4RI9J0Wl+V023AFnVYOzbbqdN26aSSlMtpJD821hs9k0wxkiwU9Dy07bb+xlSGAGE+nc4KL+MPM/DI1ag40KLaotPRFCjWnpDY2ACd34mkF/GWHNntLLejqmKD+/BcSal5/GzjXVviFZ4rqa6I21iiZRuPAr3Oa1bFsfsmzUHSPCURSJ43nNuQePJ3qMRZNQhQ5ScktZwnm95m5z1Mi6QjIT1G7HrrNs/Hkc+IdaZj2h0gf1IDf6d1tShE3vvvAAAnfplPBrAfYqJwGMBdPr4ujLgMnFuUfxHSKYfh/NAmjyYiIiIJuUwaT7xmBHcePYevHYv22xsB7/2fOOeWALwZQBHA+yAmBv/Ne//+TR3c5SKVEkKUFMXOzekr81JJIkHab+XzYn6wuCiko1xWcsO8sOVlVWpmZzV/i4UXgJy32ZR8tVZLyI5tzMqmN82mGDCUSvJqHZBj0Eeb1mzlMjA8jGZLouHU8DYsLQnpmZ2V09CkrlaTS5yeVuKwtKTF8UyjoqMZU8Y4RWFNCJcnqTYWoQU3g3QqIBS8bL2QVX3sLbI1OoStd7GxL9UJGg1Y0D+DjumtltzqxUVNEeNY5+bOJzQ0MQhT3pLmxZIYmzoYEiNitVosQF3v7FzwuEyjszVJVAaBXvVsaUnn3RodtlpKaE6e1EeT7wAAJVTNpipICwuamshz5fN6nXy0B4qrhRABgHPuOwC8G8C1ULc5D+Cwc+4nvPf/MsDxRVxFoMPctmIWqdTWtGWMiIiQOqI7j57D3ccjIVpvOOcyAF4C4GPe+790zhUBlB8ztbw2P6vTkQiYyk06rRElI0igN4WOARg7gKZSvRG3/cyulPYVPo9TKAjjKJW0cyWjRb7rrVZ7PaFJgHiMLoNod1wPSWEwm8tpcGqDczqnARrI2zoT9toJpw04X+mxn0PVhKqEJT/A+bbTIaGyaXbcPkktsiQrTEFjYG/T9Ox4ec22HxGzJmkYECo3Np0t/B4qR0lKUIhwbFbNCefMbhsqOSH5snNkkZR+2G987XZvI19uY2UI7h861LGGyJIvHrMfab5kXC2EyDn3OEih5ZcgnbMPQUjRLQBeA+CfnHNP9N4/POiBRjz2sWKoENPlIiK2NJ58rdQR3X1sZpNH8tiH977lnPtDAI/vfq8BeOzkKrJKnjk+VIBY10N1plKRiHRhQYgJSQgLc7ZvP78Za6ulx52bU8MDa3fGwguylWJRu6KmUjIe5iGRTFmCxRS/TkfG1s0vc7XFFbklm82t9Buam1Pexp/QCpppYjYgt2ljVrFIUjM4tDAtjYTI9tpJIihcbtPnSAhsSlgYTIcEwR7bkgl+t0oVBT1L/EJXO+s2FzrIWQIXOsmFc7NaPG7nwl4L0wlDlakfIbXnSzp2v23suex66xIH9AqcIdmztUdM22NanjWpmJ9fh5S5q6gP0WsBfNF7/9xg+SHn3N8D+ASEKP3sIAYXcXUhOsxFRFwZePr1Y/izlz0VN41mcc3rNns0VwW+DOAOnG+qcOWDjW1qNQmkqlVZRqc52mDxdbatBVpe1vW2i6gt1AHUmS6Vkn3m54UA5fNyLtYozc3JcY4d04hzelqr2VmFzvqgVkv2oaI0Ogrk80h3mmjnSytB/syMnNI2WOW6hQU1yuMl0yuChIF8rJ/qsFpQbglJiAsdy6bHkWTQYyIkC5Y0WSKXlGpmCaBVkCxBDFWWsF8Qx2PHHl4bf4cEx547vI6kWD5JCQrNCOw2/QiTXWZTH8OUR859ODeAcvx+5JT3iCDhYcqhrb9qNteBm1wtChGA50CKOM+Dadb2lssdVMRjH8ena/i9Tz2In/nOx2HvqPznMhUd5iIirgiMFIbwHTdNYJHVvRHrjd8H8NvOuT0AvgqgZ+K99/dsyqgGAeaSkQ0Ui0purPscDRPYYdJ6FbNq3YLRH6A1RzaqZR1R0mt9G13ysy3qYMSeJO909+lkhnre7pPPhYX3vPx6XT/zdBS/nFPHsNVIUJiqFn5Outyk22GPZUmOnY7Qajv8bMfJ/WzwbsfG41mCFl6jPX5Idi4XoZK2GsG82PVJahCgPJ2kODxO0hhWG7M9X9K82GeQJMqqRpEQKdZKiPYB+MYq6++F1BZFRKyKd3/2MP76zuOot9p4x4vvAKA1RDFlLiIiIqIHNE54p1nmISnrHkD6vD2uFIyMiM0109GYrkZGQLe5alVUGtb2ML2N6W/ZrJKjWk3zhmx6HKO/7dtl33xeXeiYopfPi9LDohZ+7nTUOIGErdlUdQgQKahcBjIZpIYLUpqU92i13AoRWFgQcwVm4HU6sps9XD4vahKNBgC1rw5VF0tYqB4A5xMMa6tNrBbYh/UygKawcVmoOoXEx441VGrCc4fnp7t66LjH8ySlivW7rqTjW7JniQlJqN2uX2pgeD57Lmu7bUmeVaaA82vDbP9fi/D+hYQ1rK2yzwifC57LnnPg3GQdCJFz7lkA/l+ImdsuAD/gvf+gWf8eAC8NdvuY9/75aznPWglRGavnLtcgDjgREavioTPShO8z959Bq91BJp1aSZkbLeU2c2gRERERWw3XbfYA1g3z88ICTpyQKG54WJvssDGP98CpU70dKm33z3Zbm64CSqJox03rLSpKJDWdjtYsVauyzfy8NG6l3Zl9jT47q2pTOq3227ZpTTf6TaONVCaNekP2tQ5upZIG+qmUNhotFjWtzqbL2WCX3M426rTEIFQdbMBse/aEyo8NqvuBgX5SKlyoSCQRJi5PUrTsvtZgIimtL+xRZMcQqkzhmMJ1/foq9UslvBAJs49lP27AuSdnD88ZHjPpeqxIyezRUKmz6hzT7NhPmLCZpgPB+vQhKgH4OoA/BfCBPtt8FMDLzPf6Wk9yKd2RbnHO9WtPPn4Jx4u4CnH4rGR8zNSa+NqxGTztulFNmYs1RBEREREr8N4/9mqHiHpdornZWS14sN0pmW/W6WgzF77Cb7W0iWulkpz+xuiaPsXeKzuo14WBFIuyLcnX9LQcr1DQqJOOd4AqS9adIIwsWy24bAqdjhAi586vubFmAfW6vsWvm1DOqkLMEuTU9CMvoVrEZTbo5rq1vKwPSUGYFhcSHfvbHiMp8LcEhCQhqU6oX5pcEokJScZqy+06mzFplZik60665vB8VkEKrcj7ETGg9zEPzxUqbknKUBK5C00UroQ+RN77jwD4CAC4/jl+de/9qTUdOMClEKJPQu22Lax8HxHRF8vNNh6ZWVr5/slDp/G060ajy1xERETE1YZcTiP9TEaUnnPnlBXwNTpfgVM5ymblNxv4zMyoW9zO7jvbWk3ri5hil8/LMZkbRZvvdlsNGkiAbPPVdFrz2VhLZNPxAB0XsPK7gCXUUFjpLzQ9LT/sJTM/r5zw3DnlcLOzemk0YCBpIsjByOes2mGDaOvUZoN0a1Jg9+tHQvibCg2VLMsLLWzQbr+H9Uc8r1Wu2m3NnOR12l5EobGCPVb4Y1PHCPvZbmfnjutsWh23DUUOu6+5/SvnCsdgr9fampM0WXtsqkE2NZL78zFOur92bJmMZpYmEbKBYW2EqBIQnLr3fs3KThfPcc5NAjgH4FMAXu+9n1rLAdZKiB67sn3Equh0PA4+Oofd1cJlmx4cm671vJX45H2TeN0LHm9S5iIhioiIiLgqsLQkSsziokRsbLRKNYZNeug2wKiQUSKXsV+R91KoA2iHS+B8hcd72W94uDe6ZdSYVHRD5wPWEtncIzbQ6W7v4dDpAOlsFp0F2S2fl0stFrXMibum071NNIeGNFOP5CApyLVBeFIsmqRS2M/2tz12kqrTr64ldIzjefulxiUtC9d730sKksaVBLtNv1qfpPPZuQjrrOxPuCzc115f2MQ2aduQ0IXucsD5c8vUxfB67bbh8na793F1rtfKfWBYGyE6Eax5I4BfuYSzfhSSSncYwA0Afg3AR5xzz/Tet1fd02BNhOgxLdtH9IX3Hv/j77+B93/lOABgx3AOP/Gt1+GVz7p+NfmyL5gud914Ccena3hwcgFHpxYxFRWiiIiIiKsLrAEicWERTbMpERzljVJJGYRNo2MEay3c5uY0IrTqEFPurLJTqehY+KbONn0l62A/pKEh+W77rdjCHiMNdDoAUrIuk5EhlErKq2zbJMuvuJyHZZpckirB89jgOTQBsLVCYapVuM9qqW4h7LRbu+1+SEov62f0dzFEKFSfVpuX8PirXVMSWbJz1e/a+h0vHNtqBNTOY78aLI4xVK3C8dtUOu/P703EbQYJDwefmETWu00XewDMm1WXpA55799vvn7DOXcPgIcgztifvNjjXErKHJxzNwJ4IYD9kBS5wwA+GBuyPjbxP794dIUMAcDpuTre8pFDODpdw5teeCvSqbWRIhKi264Zwc7hPL7w8BR+91MPYnZJ3t5FhSgiIiLiKgId3tJpJSgkMowKKxVt4srX3cPDkipHMkWXOPYcarU0n2xuTolOpaJEi01gASFjADA+3htVU2lic9hMRpSser23MSuZQbUK12kjlUpjYUHJ0Py8Ho5CFM3sOFRmCuZyqhixQSqH02z2VytselaYkgWc3z8nhFUXklKrwuDensN+T9ovKV0ubPrKjEi7T3jefuNOsu7muqSxr0a0kuakn9ITzpmdh1BJou22NVMIx2LnKUzhu9A1ht+5vc3mJAnne4dBImlsSdt0Me+9nxvsCADv/cPOubMAHoc1EKI1c0Pn3OsAHATwGwD+E4AfAvBWSHPW/2etx4vYfNx9fAa3/+rH8ddfOXbeui8fnsYb/+EgAOB1L7gZ977xeXjD994C54D3fekYXvP+u+C7rx0OnpzDm/7x4Aqx6YfDZ1Qheu7jJwAA/+uropzmMilUi5EQRURERFwVIENgox5rqECm0OkIm6jVdBubDpdK6f6M8liYwyIcQFUlgsUaPGcqpe4HNloNnbNshG2LWUi4TCRvN7WiFoNS2kszRc46hJMP8jdFKe5rg29by8Pz9iNNScsuJuC36LfeBsRJgfGF1oW1MOH5ws+rIWncqwXrF0u+7DZrHRfVGt5L1gCtZs5m5ziJyCUR0HB/C2ahrgf61XGFP+uJbr+2MQCPrmW/NSlEzrnvAPBmAG8C8Dve+3Pd5aMAXgvg151zX/be/8tajhuxufjovacwU2viHZ94AD/45L0rik+n4/GLH7gHrY7H9z1p90qK3E9823XYXc3jNX91Nz58z6P4nlt34Tk3bccr/vxOPDKzhH2jRbz0W/b3PR8Vouu3l/DsA9vxuQfPotHuYOdwAf/+CTvWrDhFREREPNbgnDuHizQp8t6PrvNw1g+tlpKdTEZqisgebBOaEyfOzyvrdHollIUF2Y/GCSRENtr0XuuNOh1xL8jl1FFuaKiXaA0P62eCrKXT0XGn07JtNqtNXKFDazRkUy4j6OKdyfS+sSc/47a27jYkIDa1Lonk2ODdcrx+QX24fbgNz2v3ocLTaJzvYGePY3lmeBzLL+3YV0t9uxAZsOvC9asF50nLQ3UmvAbbRziJsNimttak0F6nVfN4fewpzOPQXMISYps+x+U2dbJeFxJWLPYS80FjjQrRRcE5V4aoPcR1zrnbAUx3f34ZwN8BOAWpIfpNAA8C+NhazrPWlLlXAfgT7/2v2IXe+2kAb+jacb8aQCREVxCOTglBeXR2GZ998CyefWA7AOCThybx8JlFVPIZ/NoP3NpTL/T8W3fhVc+Zxzs/+QDe/OGD+NxDEyvOcdZBLgmHp1Qhqhaz+LOXPW09LisiIiLiSsZrzecxAK+H/Af/he6yZwJ4HuQF5ZUNOs1ZEkPFhd8tLDtYXNT6Hson3N72LQK0ACOf19wz1jCVy7JNoyE9j8bHlQwR8/Oy79iYNgji6/1USsicee2fygh546JiUTgbCRJFLv7U6/r2vtXSWg9m97GEyvI5Xqb9DWj2Hj8nwRIW69hmA/Sk7fsRJlvbQjIXEp4kkkUiZMdig3puT7JkYY+ZNO7LVSOSCJc9jz1faI9NhASP94aPPNPnksDtrQX3akTQushZRclmhvLelMuaJTooJN2jpG3WiKcA+LT5/rbu7/dCOMcTIY1ZqwBOAvg4gP9vrY51ayVETwPwn1dZ/xcA/nyNx4zYZByZ0l67f/OV4yuE6I//9WEAwI8+/VpU8kPn7ffTz7kBH/jaCZw4t4T3fUnT7U7Pnd9a+q5j57DUaOO2PSM4My/P6P7x0kCvIyIiIuKxAu/9e/nZOfd3AN7gvf89s8k7nXM/A+C7ALx9o8c3MDinCouN6MPcsGy214WgnxzC5UCvJTZrkpIQSilhAUh4bOtCZwkR5Z3usdxKN5LeTQE9Vb8hWYTBcjhV/VQce3n9UqnCfS25CIlG0r6rHcOaLYT7cNz9lJ+LWRae0/4O1yddx2opcmtJhUsiQfaxsd+TrjkkNECPYWGPLbe9N+G5+50zBNP1nOt1nhsE1kMh8t5/Bsntfojnre2IyVgrIdoB4Mgq6w8D6Ne09arHiXM1/Pe/+Tq++5YdePm3X7/ZwwEgDnJUiADg4wdPYXqxgWPTNXz58DQyKYf/0if9LT+Uxhu+9xa88i++CgAYL2dxdqFxHiE6NbuMF//RF1FvdfCmFz5hZdvhBJIVEREREXEengfgFxKWfxTAr2/wWAaLSkX7+7TbkrpGBQeQ6L9QEFWm1ZK8M1pldzqq7Cwu9rrEkTzRuzmVkm2LRdmf8gz7GXHbbBa45RaVZTgWRvi2WWs2C4yO9koxxSL86BhcS8gR1ZxUSi61VhOViGlygChDzOqjOcHysr7VtwZ7gLZRssMCetPhbHCclOoVBud2G0sUklLdwuVh0G2d0fk9RDiWcNycD5tGZ49jTRzsecNx9zMnIPFImpd+RIICY9L1hr2YLIcn6BRIIsLMUB7POfHoWFyU+2+d5u19smO0jnGWLIXGDXzeWLPmnKhDg27Muh6EaKOwVkKUB9BYZX0TQKyIT8BCvYWXv/dOHDo1j2PTtS1DiM4s1FFrtJFywIEdFRw6NY+3fuwQHuoaH3z/7buxcyTfd//vvmUHfuRpe/GNR2bxU8+6AT/7V3dhcq5XpfzDf34I9Zb8Bbz5w/cBkHS5iIiIiIiLwhTE2fW3g+UvGa5B3wAAIABJREFU7K67csEaHkb1TGEDVArpdIRF0DSBkfDQkEaWSWl19tW6jSptrppzErnaYp5aTaM2HpcR9dKSONvVarKv7RZarwO1Gtzc7EpEXChIVBvaKVcqmrHHwBeQYTDVzAbXLJkiGbJeDjZI5pSR69ngvp86k0QkgOTUppAAJakutjkpiRE/X0i94HhC9YbXnKSyhGpVP7XGHo/L7DUmkbHweEkpaUnCIvejqMh7NzTUS+SYMkcTjVRKn4Ek9TCXk+0tuWM9Ep8FkiQqQfaa8nl93sK+woPA1USIAODlzrmFPusqfZZf1Wh3PP7bX92FQ6ckWfPR2WUsN9vIDw34SbwEHO2my+2uFvCSp+/DGz70TfzVl9Vi+xUXIG7OObzlRU8EoGYJViE6NbuM9335GABgKO1WiFEkRBEREREXjV8G8CfOuecA+FJ32dMBPB/AKwZ5IudcGtIc8ccgGR8nAbwHwJt911LUSUHpG7vnrgL4HIBXe+8fWPMJl5fVSAHQXkEEHeBIPKyyAygDCNLVViLQMLXOSg6tlr4it6TJVrZb+YX7LC5qRGqP1W6re0K3Ej6VzWFoSE7Dy0qlRGji5dv1zB6kOV6r1RsoA7qdVRfSaV1PxSkp4A2VA6A3rS3JbCGpZqVfullIdGydTRIpuZhj2G3D70m/w3Enpb+Fv+2YQkIWpqHZhqs0w7DkMomQAHq/QqLCc1i1J1TVeB8zGbVmt9fE44StIS3R4jPEbaxHyaCwWj2U3WYrYq2E6Bgu/I/vsUscy2MOy802/vbO43j3Zw/jyFQNuYz8VdRbHRydquGmnZvPH490Scz+sRJe9O/24NOHJrFQb2H/WAnffmA7Hr9r+AJHUExU5LXDYqONhXoL5VwGf/CZB9FodfC0/aN4zs3b8Zsf/TcAwHXj5cFfTERERMRjEN779zjn7gPwGgAv6i6+D8C3ee+/1H/PS8IvQAqVXwrgm5CC5j8DMAvgnd1tfr47lpdCUuXfBOBjzrlbvPfnF5GuhnRaCASjuq47G5pNIUqsMWKUxfXLy7IfIzo2Y2WEagsw2N+ITgb5/Pmv6m01+MyMkqm9e1Vt4mv2oSFlN4uLwm5o38XjDQ+jjTQayyJuLS8D09PymcNigGx5nvcS8LJ/EcmS7VcUKjLWtY7BMjMJQzLCc9o+SKESFCot5H2hGsR1PI/9HapPvCVWYQnT8MJzhOcK097CcVgubJeFx7Lrrc13mF5nj8FHhSKlNTmwx+X12JQ8gmImiSo5vO0ZvLio+1heTtWIj51V3jivjYb8yZDQ2cxTbj8zo+SZvbEGiatGIfLe71+ncTwm8cZ/ULVlOJ/BW3/oSXjXpx/EPSdmcWRqcdMI0V988Sjue3QOb/z+J6woRNeOFVHOZS7L8a2Uy6CSy2C+3sLpuWUsF4ZWrv+133Ujnrx/G/76K8dxdKqGx+/afDIYERERcaWgS3x+dANO9S0APuS9/3D3+xHn3I9ATJWoDr0Wohh9qLvsxwGcBvAfAbz//EOuAssKGO2xfgdQ6cTaZNn9+LqZkXYYiTIitp7WtsspX+9bZmD7FlkXu3xeI2geo17X4hDbQ2l5GelsFoV8Bq2WQ6cjQ6MrNxUeDjuTkVoh1srMz2sWH6fFpnKR51nVCejNMrRTxtQsmz6V1BQ1dHgL1R5r8WxhyQj34XTZ+h/W/oSqi23GmkRekkgO58SOgcvC228/J5GcpHQ5ew6ex6am8VihzXh4LoLKTPgo230sSeU23qvKExK1sH8RU+0sgbL3PZ2WlDmSqFBRulxcNYQoYm24+/gsAOBVz74BP/udj0Mpl8E/3vOoEKKzixfYe32wUG/hTf9wEI12B9950wSOTKlCNAhMDOcwf0YI0eEzi2i0O7hxooxn3jAG5xze94pn4M4j0ytOdhERERERF4Zz7gYALwNwPYDXeu8nnXMvAHDMe//NAZ7q8wBe6Zw74L2/3zn3JADfBuD/7q6/DpJK9wnu4L2fdc59CWIFvjZCROXFRtL0n+Z37zViZsEF9yEJYf1PWPVuJQp7Tps7Zgs6gN4Ifm5OZYFqVckaiRDT/VIp+UwZgHVIqRSKxdLKEGzGH5UaBqcMYJtNrfegEQPhnG4TBts8Fi+hWFQ1gil4nCIGw5xGTo+dwpBsWOUkVKm4zAbsxaIelwpGEpmiMGjTBG2gb9PWLBEJVR2Og6QiVLnCtDiem+us2mKVI94r+1jYcVgiZrM9SUxocMh0On6muEnC027rPNTran5g3wfY1EY+I5aQcRmPTcLHc5ZKWnpnjT0GhXWy3d4QXPRUOOdec7Hbeu/feeGtHtvw3uP4tPwr9oNPvgalnEz1dWMi9x+Z2hxC9NkHzqDRlr+oTx6a7FGIBoEdw3k8dGYRp+eWV8wVbt41vNLD6JpqAdfcfs1AzhURERFxNcA592wAH4HU6jwL0pNoEsCTAPwkgB8c4Ol+HcAwgEPOuTaANIBf8t7/ZXc9nWRPB/udxious865HABjH9CtOS6X1f2NBGfHDonUrHPc3r2ad1apyPLZWe1aWa9r1McGqTaPis1S83k5n43cymVg927JJwKAxz1Oo3MylWxW8tjoUsdIcnS0lxGUy8DERE/eGU9FMztAuZVNv6KfQ7Mp63laWx5FHmfBjMN0WvazAhbFq3I52SSAATqny5IPclAG1dyfUxMqOdyX00oiFxIQ9rLl9dmUNZIjm9VoiQ8VJqo6VlniPIY1PZa8cFs+NtacgtmYXM/PllRZBYbXbwkG+XmrJfeC6XA00OC1sScVHzGSxUpFx18un0/ARkZ0zJZc8byc01RKl/HaCgVg+3YlVyReg8TVohD93EVu56F5xlctphcbWKjLvwp7tinZuLarxBw5W0vcb73xifsmVz5/+tAkFhsyxkGZHOwYln9FTs/V8fAZSZa+YXs0UIiIiIi4DPw6gNd779/mnLNZ/58C8DMDPtf/BUnNewmkhuh2AO9wzp20vZEuAa+DmEP0ggyBOUHM9wJ67bcYtTOaY42PfX1PxmBfxwO9UkwoPVAWYNQd5i3xmJmM5holFd3wePxucr1sg9JcToNtblYs9ioVTKXLZnsN+Cy/A/TyqEDwMq1KkTTdrFOyy6xDOb/zvHa6+DusA0qqMbJEhrDb2VS1pFQ6O7X2+i3BsrU8nOek22vrhahepdPaS9eSIHtezgeghIPfSXCtd0epG+40Gue7xZEU0+m91ZLtOBZmZfI8xaJyffvYk1zxfudyvZmbdg5DRSqVku05H6s9K5eCq4IQee+vS1rezScG3WciBMe66tDO4XyPmxybka63QnRmvo6/v+sEfvgp+zBSFO200/H49CElRKe6bnDOAXtHB6MQTQzLC8DTc8sr1t03bI8GChERERGXgdsgBCXEJIDxAZ/rrQB+3XvP1LdvOOeuhRCa9wI41V2+A8CjZr8dAO5e5bhvgXaYB0QhOgHnNBqlSxsLaFg1ziieEafNq+KrfptXZu3YGBnaZWQdNnqentbX/MD5RTVLS/KKPZORV/vcl/INoK4H1u47lYJbmEchk0F7qIBCQQQm20todFR2YRocU6/yeQ2QrUoD9KpNHIItrufUWcUmkwHGx0V4o28E+V+jIUE1v5MTcj+gN5Dl9NvLJWydk3UyD837rJLD3kwkCpYIcftQaaLyxWPxEbLjJNkYGlKjwlRK2loNDQGTk3qdw8NKMmhwYVMPyc8B+V4syuM4NaXnLJe1Tix0B2RmJwkR67zo90HCxHFT7VtYkG2oYM3OKnnNZnsFT0taSdR4/jClMcwuHQSuCkIUwjn3kxDV6Mbu9wcAvMN7/ycDGtsVDRKifUEq2v7u9/W23n7Xpx/Eez5/BHcdm8Ef/NiTAQB3n5jB1GIDlXwGd+zbhn+5/wwAYFdA2i4HOypUiJbx4CQVokiIIiIiIi4DMwB2QRzdLO4A8MiAz1UEEIYsbQAMnQ5DSNFz0SVAzrlhiA34H/Q7qPe+DmBFl2AaNep1ic5trhErwaenNb/o5MneYpd2W0gKJQLWIjFXKJQSbI5RtaoRJHOzKhXgzBmNIBlxVowBUKkkY6G1dqejkTVf5ZO9UPJglJ/NojyeRTqdRi6nZUahKR7f5nNoJD5UBaiCTE/rsCoVVSM4PTZrkClbrEWhimHtty0RK5Xkh6QJ0OkkCbPpdaEJgV1HYmR7E1kFg+us+mNrdWzNjCVF9nc+r/18aU5IIjY6qoaE9jpsOp710CgW5WdpSZYVi3qLmeJIIlIsSgob55zqn3M6x+m0EJZcTuc+FEWt9TU9PDg3zmnfYhJX7sd5KRZlPz7mxNhYb3olBdhaTY5VqUSXOYtLIkTOuV+FFFj+LoAvdBc/E8DbnXP7vPdvGND4wvP+IuQt0+9471/bXZaHNKt7MSQ/+WMAftp7H+Y3byiOdWtz9gXKy2gpi0o+g/nl1rpab3/jETF0+Mi9p/CVI9N46v5RfPI+mZJnH9iOZ1w/tkKIrh2QoQKgKXOHHp3H7FITzsWeQxERERGXifcD+A3n3A9B0tJTzrlvBfBbAP58wOf6BwC/5Jw7BkmZuwPy//2fApIN4px7B4DXd1+E0nb7JIAPrvlsjP74Stt7XWbzgubnlTABsm29fv53a6dtI3hLkmibzQjX5k8BwjZs0QzRbitT4Xh4LrICpvHxGmo1LRzJZlEoFpEfz/UoOGGgbS2qGXjb9kbW0wFQ4SqbFRLDyywUNPWNtUmFgk4Rp92KYYCcj8oDoKSNhIqqFdWhJJWI12IJFz/bdDnbXsoaOthptWNgupvNbuSYcjnZZm5OrjufF+47O6ski/tQWLSmhKWSEMlyWeaR6YzVqhybRIKpbaWSGl9w3qyCxGsYHtYewMViL3klAbXeIt7LfeK9+v/Ze9Moya6rTPQ7Mc8VlZWVlTWoLFmDJSPzaGRbNoPw0G6bB/Rr8xbDcw8PmtHMsIDXfs/93DR0Q7PADQ3uZjTweAaa1R4eNGBAYBpoGwN2AzaWbMmyXCqVasjKisyMjIz5vB87vtg7Tt4bmVkVNQidb61cEXHvueeee2+UtL/49v42eTiVNpuySAJHlYmldLxP9vcFpmCSdBeLSqQWhedSHyLijQC+znv/q2bbbzjn/gZCkhZOiJxzLwHwDQD+Jtj17wF8EYAvg/RJ+EkA7wLwuYtew0FAheh5ASFyzuH2I1V85OmDW29779HqDHC4Wpg7bjz2+Ph5pf0/8FuP4L9848vx8MckXe7V963gwTuOTPffvryYdDkAODZJmXti4qJ3sllGuXDzG9BGREREPIvxfwJ4G4CnICYHH5u8/gqAH1jwub4VQnD+I4AVCNH5aQD/2oz5YQBVAD8Dacz6pwBed+AeRIBG9nwdjzWq3NyU11wuOYqytmpUdHZ2NGLlz/ecn5EooJEzI21KMM4p++j3ZYytVAeEMNmf5Em8slnJb7p8Wc49HktkTann9GkAgANQXF5GsVTC4aUSnneqgsE4i7U1PQX9HQAlRK2WKiXHjsml9noSMJNEnDunbnZLS5r61mrJkk+e1NsE6C1hgT8g7zsd4N57Ze4jRyS1jOSFhg/ttsy7sTGbOUgvDHvLOh35a7eFcHS7Mufmprzn+YdD4HnP0xQxfi2cUzJw++2zHLRUUiLT6agQmM8Dd9wh59jclHtDgnL77aoubWzIOT7jM+Sx0YBiMJDrv+ee2XEE10uPjVJp9mt85IjMRwOFtTUluMeOCacmkeQza7c15fH5z1e/kY0NeWZst5XJyHm5juVl2b+9Lc/HcnZb2sZ7lcnIuaoL/r36OacQAcgD+MuE7R+6hjlT4ZyrAXgHpCnsm832QxCHnTd47/9wsu2rATzinHuZ9/7PFr2WefiR33sUL73rBL7wRcfx6ZSUOUDqiD7y9MGtt3/ovY/ip//bE/i1r38ZXvb8I6njnm7toN0bIp91yGcz+OunWvjs7/99bHWHyDjgFfes4HC1gHtX63j0/BZOLy1eISJiulxERETEtcF73wfwdc657wdwP4AagP/hvX/sOpxrC9Jn6DvmjPGQHz6v/cdPEplyWX7KbrU0kmZ9EWUIRrq2FxB/Rgc0v4uqECNoK6mMx5Iax6izXNYilHZbc8xIigCZv1jUwh7ac7GwBJC1FYsq15A9DIfqo02mwPojShUA8oUCji+LpDAau5kCf6oJNr2KhfRhY1BAA/VaTS+HdSYrKxp4U8HgJXW7cmuaTfm75x4lHTw+n5dAP5cDHn9cL4HZjc0m8OSTGuxboY6BPB+TtdomT+10gKeekqD90CE9jpmT1ngil5O11OuqZgGyBhKqlRX5o6pSKACrq6rqWLf2RkM/33WXvF9d1dod3k/eN35leFyjIVy415P9vI9LSzJuaUnPubIi94hpemzeWyjIPVhbA17yErkHgJC5Vgs4e1bWQVLDtWxuKn+nmmTVosFAG/7ymNVV4Px5LBTPRUL0yxCV6LuC7V8PIS6LxtsA/Jb3/mHn3JvN9gcg5Mz2Q3h0IvW/HEAiIUq1/7wKPPwxzcz7+T95Er/yoYt4xQtWppbbYcocoHVET14+mNPcn3xiDQDw/sfX5hKiR56RX9XuWqnjC+9fxVt//xPY6g5xpFrAd7/2BVOF6Xtf9wL83J98Cq//e4uzwT5aL858joQoIiIiYjHw3p8BcOZmr2OhYATFSJ/GBLmc2mrZfCqmrZHE0HSBuUaMfL1XssUImuzByi/cPhgIYcnnNW2PxzPniOP43uZ0cS7mqrGwxDoEbG/P/lxPuYC5TRNb72yhgEMlU2zT76PcLAFw0+Cc/W1sHRB5VlivY/ngiRMScK+vqwMbCVGnM5uW9lmfJfPQ8IAki4E9FSsG3/U6cOqU8k2b8cignGKfTV3jLel05BwXL6pywvUxBY4EjWs/elSd2ynwHT2qitHSkhodrK3JdZ06pfPQ6jp08yO5u+MOeWx0g7NGhZ2OEJDlZXVjL5VkfLEonxsNIR7b27IOpkryGJpqtNvyt7ysouKpw9vTDydOHJn6eSwtyTimVjKtjwTNuurxHnOtvHeFgsxDEXZReE70IUrA1zjn/gGUdDwI4DSA/8c5N3WS8d6HpOlAcM59JYDPBvCShN2rAPre+1awfW4/BKTZf14FukP1LCzns+gNx/jjxy5NHdySCRGtt1UhurDZxTs+eAZf87l3TF3hLEZjj09ObKwfm5gVpIHpcvet1vHGV9yJpWoBJ5olfP7dR5HPqqXIq+49hlfde2y/l7ovlPJZHK7kcaUj+vmdK7F+KCIiIuJa4JzLAvgqiJHBCtTgAADgvX/VTVjWYnDokEb13qvKQjKUz2tlORUiQAsmGPFtb2sxC4mSjaAZ5ZKc9HoSoduqfa6DkgddD1i1773WKjFHzDktymm3dU3r6/Leut+xCr/RkJ/8KxWJbHldTLVjMZD1Xh6PcZgMqFJB9didACbiVevC9DruXJWofKefRbnkVelqNOAzWbg//RPg8GHgxXfIGlkos7yM9rbDPfdowHqscAU4fx7HzpzBnfffrxH85B5t3lXH2pos9fhxeXTNpvpkbGwoSej1RBFZXxdiQrK0siLnarVErWi1JEhfX5cxNBRgmiCVnxMn5NiTJ+WcR4+qetRua6B/+rTsr9XkfaEgnw81/JSsbrSz6HYlfYz8+2hzoCzl9hWMcvJjb7azBXS7uJw5imIRqBUn4woF9HJVHF+V71BvmJXmt8MBcO4iarkcaku1GZ/wcmPCWp44i8ONBg43KsBmF+VKCasvPgSsd6fsiwrWS18K1EsDoNVC+7A0uC+XgSwkFvWZ7DTtjl/dYmaAdi+PnR25b+ToJGiLxHNRIbofwIcn7++cvK5N/u43466pdMo5dxuAHwfwmqvKTU5Hsv3nVeDv36eE4ov/p1W8828u4x0fPAPvgVoxh6WEeh/W7HzaWG//X+/+KB5+5AK2e0P8yy9+4a5jnr6yg95QvkV7EaJHJ4To3uN15LMZ/JOXPe/gF3YNONYoTQnRXVEhioiIiLhW/DiEEP0WgI/iGv/fekvCdpukIsO6nGxW839IRBi19/synhXqtFQD5DMt3aj2WKWJUSNzyHh+yiVUjAj6GNOyjSDxYpTfaklBhzWBoOLFte/s6DG0+mq1tPhmfV1ztUolLSKaBNS17I6SPea7UYIZj1GuVIDNtu4bj+EyGWEplBpYFDMxiqjVatjZcXpdLFLJ5bTZ7OYmsLSErbabLq3RmHKCaZ+bclm5ITkAy7iYLcjjaZVtU8DowsdtvEx+HTiej5uGETSQAJT7WrPBqZECWUMmg1rjMABZ25RcnD0nB0zy+rKY7UbbaAD54Q5wcX3q+V1czgGbcq+LpRLQHqryZy94OJT7yLy3wUDlscn8jgR7IukUCrK2WtUDQ1lAeaIEufFomh7qajXUKwBqGex0nVz3cIxadgflpfLUQ4T3xqZmLgLPOULkvX/loheSggcgv4Z9eGrRKYWkDznnvgXAawEUnHPNQCU6Bu2VsAup9p9XAWtX/fl3HcU7/+by1L3ttqVK4txUiM5tdHFhs4vR2OMPH5XUu4cfuYA3f9F9u457/JKaJDy5to3+cIxCLtlA/pHz8tPIvauNq76ua8FKozQlZXeuREIUERERcY34SgBf7r3/7Zu9kIVjONQIl4TD5ksx/6cb/CbK2h1up3kC9zHlzXoYMzKmSwEb5ZA0MA2OZGh7WwkQ7bpYrW87ZTI3ya6R3VJtWl2hoHVRTOkjGRuPtQo+l9O0PtvFk0F0tytyCokYVbFOR9QfsggWppAMMvgm+aRCRmJWKGA8Lk653oW1LDKZw0DzMNpn5XTHl2v41JMOa2uzl8RHZq24bZ8ba9tNjmntr23TVNpLk1+SEJFj0uF8PFaTAXLHXk9S7kjKOh1VQnibp9+7yXciixEKhSwGA6CInkhYFy/KvT51SuUq5qvVasj3J+lsdCRkLhzvNV+txR8vptORYqDbb9eF7+zoHKw/29ycqqPZYQ+1qhQY+UoVm5vAocoA6A91TkAudlJQlFs6pv+Ozp9HttkEUJ2aKjK1b5F4zhGiG4g/gDSks/gFAI8C+HcQx50BJI3gnQDgnHsBJHXvA7jBePDOI8hmHEZj+Y9y6DBHHKkV8cDzDuNDn76C//AHj+FIrYjJIfj05Q4+eWkbdwVE4rELqgoNxx6fvryNu4/tLn3qDkbTVLx7r5Ol9144NqkjOlTO48gejngREREREXuiD+Dxm72I6wLaevV6qvQwAnZOHdqA2RohazMGqILBXCBALcAAIRskTexDxACUuUUsrDl9Wj4fPaqSBKP5YlGr67NZybNi5L+5Kfuazd2kjqYLy8sSVHPeXE6CbtrB2WubSClbnawEsadOTfePGoen4lh1+Shcvwf0++gV6tPT9peqU4GKMfmp161gkCvj/HlgvHRyevv660DnLHDmjMTo5bIaDwyHkuEnglp+ygM/8Qm5ZNYY0ar7iSfUea5e11vEVDYKc+Wy3GKur1oVXkBHO3I8WmAzfY6395lntGnp6qrM1e3Kuspl+Wq99KVi/jAeA3/1V5J298ADQLN5eMp91z4q1/iZnwm0RkV4fxLjlZOifvWBzfFRjHNA/TZ5hOS37XEVG/4kTh0fTQm1Xz46XXuzCbj2lhYgNZsYFcrI1nbkomgH98wzsrDlZaDfxyBTxNoacHx1QozJPhsNtH0Vg9ZEeGydA0ol9JrH0MIxDAZAfg1YXj6M7LCH9XX6kWRRq51Ed114NO9HLifPaZGIhOg6YeJ281G7zTm3DeCy9/6jk88/D+Ctzrl1AJuY9Ea60Q5zANAo5fHZp5v4iyevAEh2mCO+97UvwFf8zJ/h1/7iKRwqy88l9WIOW70h/vDRC7sI0eNBmtxjF9uJhOixC22MvfQ7Cg0ObhToNHfn0eo1qW8REREREQCk1963O+e+ZeLw9ncHNvWMsLVCrNshKbK5VfYXeZIOa8UNqERBacKOBWbJh20ew0YzthMp1Zp6fXYsc8U6Ha3+J6mjWx7nyednc5aAWWOFyVo83DS4pPBUNylsdAWncFUqFVGs5NDZ1Cw9G5yyvKnZLGN7UwJhqiy8PMsRyU0JKiydjsTxNFKg9XahoH15SAgmmWRTbmj7FWUyMp7n4uPNZmdT5fh4uY2Pj+LY5uR6+TVhZiEJIMukul0p0bLW5NYpbjyW/cwgzOdV+CMhy2TUrpznFl6TRbVahYOfEj5eb57+2JUKepky+h2gVivDWYeGahWo1dDedigWi9PSJawaa73JBY+62rz1KI03oPd7Ol21MM0K5P21vyXsx/zgavBc7EN0K+E7AYwhCtG0MevNWswX3HNUCVGKQgQADz7/CF75gqN438cvYX27j+VaAd/w0J34N7/9CB5+5CK+/qE7Z8azbqhRymGzOxTFKNTOYNPl6jeNjHzGCfmP9otvX7op54+IiIj4O4bPA/BKAF/onPtbSGbEFN77L70pq1oE1tc1TY6pRmyOMhqp9RmVHFpdO6e5U6ydsSDhYJ0MyYrN0bJkjDVI2awyAY6lusNInF7ITHMjKer1dhdl2MiTxg20/TKGDj6XhxuPMUAewy5QzvSQzeWQyWVRKskSfKk8Q3J4axiAFxrZaXulixdFNKNDW68nf9vbWm5EQmV7C7F3EbkmMwwpxtleOs2mrGFjQ85JrkiTve3t3V4W5Hw8Fx8za4uYHWhvEfsXAfo1YfkNb/uFC8pxSYAyGbkPJGKjkazzkUeA225TUsWvy5NPal8mGjCQ9ACiUK2vyyOvVjUjjv2g2m03FfmWlydzDzPwy0fRbgPr5zU79NDKClAowMPBra6ilyljpy1zkdzwJp29XEa5DxSgqW7nzwO3P3Qcrt+b8nG2vWo2gXLZTckgn2HFhKTDoQqii0RUiG4gvPevCD53AXzz5O+m4wvuWcGP/N4nAMwnRADwva/dcAcKAAAgAElEQVS7F3/0iUvwHviyF9+G192/in/z24/gQ5++gotbXfzhIxdx+kgFL3/+EXxyQohe88JVvPPDZ/HYxa3EOR99ZmKocJPqhwDgdfev4ve+8yHcsRwd5iIiIiIWgBaAd9/sRVwXLC9LBMcePYBGafSWBjR/C9B6jFxOG6ACs5XitrMmMGEUXmt4mIrHn9VrtVlXOxvFm/S1XZHlJLCdus0dOiT5W/SArla13qjfl/S4Eydmfq6/1Mqjuw6Mx8Upf1pfL05PycDWGg4wVY0qTL0uf088oeVQJDksiRoM9NSs9R+NlBdyO0GL5lIJePRRzTq8ckUu68wZ2UbVhP4QOzua6gao45tVYzY2lOTw1vGarEjHW821cX205uZ94ddiNFK/iq0t4CMfUfLHkjEqSNmsEAueiw57/T7w4Q8rmZsSzoIqbdWqrK1aFSLFNXIsyWg+X54qV72ekMViETh06BBaLZJOJbp8LuvrwPnz8h0gcXFOro3Ofp0OUCgUp+SGROrJJ7WUiIT5iSd0bqpvizZU4D2IhCgCgKgjp5cquLDZ3bOG577jDXzTK+7EHzxyEV/1ObfjWKOEe47V8IkLbbzmrX+MjZ0BCrkM3v1Nn4Ot3hDZjMNrXngM7/zw2ZkUOu89fv0vn8Jv/vUz+Isn1wGIw9zNgnMO9ySk80VEREREHBze+6++2Wu4bqhUtOYnbKwKKDli9TcNCYDd9mF8tflBjPqMg9dMmpyN+kmOaH1GNSqXUyOFUknWy5/eGw1NwcvnJUKm93Q+r3UizP86cQIb/fJ0ObSo7vWUWIxGQjbo9n3lipKBQkEJEdPmSBwqFeCTn1S+uLGhKWjb2zIvfSIANTYjCaAPBE3+eEmFggTZTFvj42BdEVWfXk954GCgBIhu4SQlPB/Tq7JZ4ZFUvJglZjMSWWLFY0msWL7F2wvMtq0C1EeCX6deT/nx2bP6yGm+wNolfn3s13FnRxWsel08LKzfBr07qJjxK8avHmutLl3ClBBx/dY2vNXSkjJrUrexIUSP5Wo0TGQj3F5Pm7MCei2lkjZnpdDKxreLxHO1D1FEAjIZh//8DS/DVneIlcbe9Pt7Xnsvvue1904/v/q+Y/jEhTY2duRXsf5wjH/9mx8DADzvSGWajvbEpW0MR2N4AG9+90fxn//yqekcJw6V8NDdRxd4VREREREREdcBS0uiqDC6Z54UXdWqVfmjQxqgNTmlkhaRLJkU7WZTo3I2WmW0nM3KfhaL0Iwhm9VOo7fdNpuLZslTowHcfbeSN0br/CmfLIYOAEtLGgGuruLshTyeflqCXE210kAckNNcuCCkgwoFSQAvnYEniRVN+ugbwXEMsqmmULXheKoXFNRobc06EwbqNFMDVPHhoyKnZAobG4CSGFhli4+WaW0kCtuTLiRWlSHZsy50/IqYPrYz5AmYDbhbLd1PZDJSL8TxXMPFizrWZm3y8dZqqrTxa0HR0DrqAUK0WFNFostnks8LmaKqw68o5+Rz4XWfOzfr7E5l8MwZNWDkveS12RRFqxZms3rPqDwuElEhipjB8UNlHD90dce+4aWn8cefuIQXnTyE+4438Jbf+Ft88FOi+tx1tIaTzTJK+Qy6gzE+9swmfvi9H8efPr6GjAO+7dV34wvvP467V2rIZKKZQURERMTfBTjn/geSew95AF2IA90veu/fd0MXtghcuiTR2flJp4x6XX7uZp6TbUDDPkOMWq1XMyN9QJUdqjSARrHjsZyTag9/fm80hMjk8/rT/XisxzPS6/f153hgNtXOmjNQCjDpdlfa+WnaGVUFKh5UV0hMqKpwHB2yeTvYu4dqDo+zwbe9dKuShClmrCmybZMAXQ/reEiQ+Eq1h38kUdxuiYolNJa4MDim2pPL6bWGJIYqiX0U1pTPjrVfjbC8zKYG2uCcY0kyqJ5QVbMENJOZTTUkOeK+QkHvqSWCNJHg/eW94jMLieloJF/Hel2eJ383YD0UzQp5LtZR2ZZXYRnb5qYSudiYVREJ0S2G25Yq+K1v+3wAog697X2P4+KWtEy6+5gQnTuP1vC35zbxz97+52h1BqgUsvjJN/w9vOreY/OmjoiIiIh4duK9AN4I4CMA/nyy7SUAPhPALwJ4IYCHnXNf6r3//27KCq8WW1sSnT3zjKambW9LpMYIkZEvo0XW5AAqTbAghmSEzMFaXjun0gL9oLe3NYrkmK0tjVqttTejWjoGALNueBZBSp7P5ac1HTZotOoOnccZwPI9SQ8JjK1V4RxUFagy2WJ5pnmRtJCoWKdza9ZnA3Yex3VbcmFT2Ozt4Vz29rFdkiVl9j6QQNlbaQmRfQw8h/1aEDb1jOuxCpHdzrl4nFWxmJnJVEA7luvhPeR9ZU9hCo42nXA4VFc/8nWSK6YqEiS2LKHb3tbnYkvttra0FM460nOt/OcT1olxXXSfXyQiIYq4LijkMvinL3sefvT3xaSBVtx3rwghanUGWKoW8Etf/VK86NRVSlIREREREbc6lgH8qPf+++1G59ybATzPe/8PnHPfB+BfAnh2EaJ77pEGMlRaikXgyBHdT2mDESh/Ngdmf/5nTlE+Lyl4dJYjrARhewqxSyWr0AEpDOn1tGdRoyF/Tz8tROrUKSFV/Mmf81sGwaKXixeBZhOuUsGpU0cmhfaS1sRf6VkPw0B3NJJaETp/M02L6W2AqhEkS7wdIUIbZEukLHGxBf1UO7jfHs/PlojY22rJB5USfrZpdfyzBIS1UCzhIlljqRZTxTgPiZrNZqT7eUg4eV6bjWk9M7humwEZkjvWHQE0NJA/Wn6T7GSz6hbH9EMrLubz0naIX10S31B54teXLoMULJkix/V4r189frVplshnubOjpXJMpVxf362eXSsiIYq4bnjDg6fxE+97HP3hGC84JvVD9588hPf81TmsNkr4f7/2wV09iyIiIiIi/k7hywE8kLD91wB8CMDXAfhVAN91Ixe1EPCnc0aCjAqZ8xX2IQL053T70zcLJGxBho3GGUnbNLZ8Xs5NYsSIulxWlYnzZjJChkolXS8ZjY3ouY09g5iOV6lMTQOs5XWYssRgkYEuzQ5sBiFvk03JIqhmWLWAZIpczaoINv0sLIgPU9rsnGmBb6jWhLCkKSRVhYJmHoYkiuu25MWmytl7Gaoe9pq5xnCbXY/lueG9DO+NVaCoDvGra/m6dXi3giYzOy3H7/WUcPFYPkOKl+wXxa86+bl1iKeK1u3KV5r3kyl2JEyLROxDFHHdcKRWxE//kwfw1JUOXjgxVHjDg6dRKeTw6vtWpk1QIyIiIiL+zqIL4HMgtUIWnzPZBwAZ8/7ZAzarYU4Wq9gzGW2kCqhssLMz6xzHnDIaLzCiJImx6XP8idxG39vbSmJWViSiPHRI0+gYqfb7ohaxEUwuJ5Fno6HR6tLSjMzhM9mp6tK9iGmPICodLJBnUG1TtQBNsSKZsaYLJFZh8M8xOzuzQbytfwFmCUAopCWNtUqOJUn2uLTtFiEhssSnUNCsRT6+clnug60XsultFOJoOhGaG9g1hNeT9N6ux64Z2E1erRJma5ys0mS/jrmcXM9gINbZJCMkvQSVJH7NSYAB2c7329v6T0QtvOXrl88rkRoMRISluMp792xRiJxzDwH4HsiPQscBvN57/x6z3wH4PsgPQ00A/x3AG733jx3kPJEQPQvwyntXZj5XCjm84cHTN2k1ERERERE3GD8B4Keccw8A+IvJtpcA+FoA/3by+bUA/uomrO3acOKEpMh95CPymelyTGOjrFKva1NTqwrZanLWFh07JlEyyQ6gUeBwqI1Vvdeolc1zSiUhOYzsaJJQLCqhWllRJmLNEyYEzJfK00L8cmGE4TA7TeNisGxd29ptbXDK4n2mRDEYDpUX8kBgNpXLBumEPS+DequG2HFJ5MCeN1RV5ilCVsWxZMISAXs+2kLT4c3W95D4hNdoz08SZ4mJnT9JFbL7eQ/sucMSMqtohfOGrnVW7KSYybS6fH7W2IGiJxUdlsoBSnJ5/63Sx+dulT6O4fMdj7X2iO7yFF7pZr8oXCfb7SqAvwbwdgDvStj/vQC+DcD/DuBTAL4fwO8651446VW6L0RCFBERERERcQvDe/8DzrlPAfgWAP90svnjAL7Oe/8rk88/BeA/3Yz1XRP48zijPlab8ydzVvzv7GiemM0vssxgMJCotNOZtVzjPuYU8ad3RorZrEolw6F6NQOzP/PTr5hpfoSNVDMZuEIBxWJWphiPkctlZ8hImIJlhS5ePsumuJ+/9DNwppKUlM7FY8IgP/xlPgzcQ+yVEpc0T/gaqkpcm3Wes+vlY7JqWdI8oToTpryFxDCJuPG6k1SsNFVpngoW3nObTmfTFzmeKphNp7Opjfwn0O9rXZB1jbPudJZc8S8p5dF+164HrodC5L3/HQC/A0ifS4uJOvQdAH6AhjLOuX8G4AKAfwRJK94XIiGKiIiIiIi4xeG9fweAd8zZv5O275bGxz8uTXcuXlSHOJKgTkftu86d2/3zvpVQbFPXtTWNYFlTZF3oWi2NRre29Cd75jVRkWLuEYsxlpdnq/vHYxmztCSyxs6O5EQdPow80/JqNRxuelQqDufOaXpXsymXxwacDJ673VnnMrvNGijYuh9ramC328ag9hxJCkvSq1Vk7K/6aSlkBM9j7bfTUucIu0byVkDNAmyNk12/vSZrXmBT3tLWZ48nOUoikZw3JDsUBu3aec/Dc4SNYvt9+eqwXZYlgZyLRoZWIWq3Z68jTHG0a7T3nOlztvfTvHt0tTggIaoHBKfnve/tOmA+7gCwCuBhbvDebzjnPgjg5YiEKCIiIiIiIuKWB/PDul2J5lotjfwZBdumOjbqs17FjBqzWS0mATRqZy6R9aamPRfHMsXu8GFt9sMapOFQGEw2q81gAMk5YmdVYNY6zVT6Fwr5KbdqtWSKdlve0457e1vTpVg/RDGKhfS2tCkMoG2qFC/ZBtpWtbAKTdL+NLKUVn8T4iCqE7fbfWEqWEiegN11ToR9BGlBv503JBLhfGGqnd0eXg+5M8kS5+RYW+NkiSNhSRTXbo0M0+65vZ4kdZAmHTY9jyRpkTggITob7Po+AP/qgKdcnbxeCLZfMPv2hUiIIiIiIiIibjE459YB3OO9X3POXUFyY1YAgPd+6catbMGweVHArDxAJNlShaSIFl8E1SAb4VpiFdphMV+Lc7LxD6PRsBCEx/Acw6Fai9nimck4XiZ/pbfNWG0ak+09ZC+fp0hqamqVnDCVKxwTkomQFNkxScRnHtEJtydtSzo2PCbpfdK4cN12/rQUOztv2nrD606qNUqbJ6n2yK7HptDZ5x2m1oXXk7QtXGfSc7PntmCfpEU7vh2QEJ0CsGV2HVQdWigiIYqIiIiIiLj18J3QYOE7buZCrivKZU1tKxZFnSFpYTpbJiP5RYCMLZU02qPpAivEaXoAyHbWC/Fne7rLEdvbMmZ1FXjiCXWLY6qeda+jhVe5rN7GzaZGeMvLYgRRq2GQKU4D4PamnObcObkk1pGQ6NRqahpg+8oCcnyhoHUiNtAPa2HCVLIwMA0DdDsfkVRzY7enzZdWq2PVprDuxxoTALMckrAEMJwvPK9dIwkJBUCbUhgShb1Imr3e8D6nrc02uk0iaVToQqIaZoVyfusgHz4bm85oSbMdR6WR5ycxX7SpwgEJ0Zb3fvMaT3l+8noMwDNm+zEc0GQmEqKIiIiIiIhbDN77X0p6f61YhIWtc24J4nz3JQDGAN4J4Nu996bCYZ/wXiK9Ukmis2pVZRNrnWa9oan2cL91GmAKHj/zvc0NIiFizhAJliVdzLdiLZAtDKnXNQrN51UZ4rFmmfmcB+CmhnalkvAp+j1UKpI2R07HJdFCmQG2FaaIUBVIUwTS1J0kNSJ0AJuXShaOSyJRYV1OSCZ4jCVC9n0SCUmbM4mgWUKVRIrC8+w1X9o5QwXIjrXg/Q3d/uyfVe94jE2lS4JdhyVF3GZ7GllRdS/yclAckBAtAp+CkKJXY0KAnHMNAA/igCYzkRBFRERERETcYpj8T31fOOCvrIuwsH0HhEy9BkAewC8A+BkAbzjAOgSDgSoupZKQC2taQGxNxDIqRkxhs4oPo0FrxmC7mU7vQFWLcshAqDwB2qxlNJI52HOIRTylkqyRyhatt7nmTEYD4+Fwcov08opFDWwrFfGUYPoS3eRs6RQdx8LakDS1aD8pU2lEJymoTyM785C2PykYDtdsg/mQCIVrSlqbHWOVGDtXmG4WzhueP21bmC5nlRx7bVY9SiMtPEdIiJIILlWmpGdvt4dKYZgit+gaouvRmNU5VwNwl9l0h3PuswCse+/POOd+DMCbnXOPQf+bdQ7Ae3bPlo5IiCIiIiIiIm49tDCnbmgCNxmT3WPcFNdqYeucuw/A6wC8xHv/l5Mx3wrgt51z3+29P7fftQAQEmFVocuXNaJid8piUSOt0WhWLbLexYzuSqVZ2y+5cBnT6826zHH/xYsyb6EA3H672oGTOPHc/MxIc3NTSZ1hKMMxl5OfXhqNE65cUb8FOopbp3CaKORySoTCX/MtGbLbLJIC0zS1JVSbgPTaJHt+whoDhGoF57LnSlI6Qjtpzhum9ln1J00x4flJikgO7Oek8Xb+g2xLIiXheHud5N+ZjIqYFqEalKa8hCmJ9vqsOhaeH1h8/RDnnvdMktazD7wYwPvM57dOXn8JwFcB+GHIDz0/A1G1/xTA6w7SgwiIhCgiIiIiIuJWxCtvwjn3Y2H7cgAtkqEJHoakzj0I4N1JEzvnigBsxUIdgJIMvmdxw2gk7ICvjPicm43+slmVVRjhMcIkswC002U+L/tpsQ2o1TZd5i5dUjIU/gS/s6MkKpcTpajXk2MHA7ADa3FpCcVyYXIPpSdRu61pc6wZYmoce8xSFaLYZG/PvF/eQ3Uh3JekKCVtTwu67XtLeJLqeux6ksiDPTYNSfv2M37e+pNUsXmEJzwmLaUuSa1KcusLz5NkST7vOvaCXVt4bfynwq88xc9F43qkzHnv/wjy40/afg/g/578XTUiIYqIiIiIiLjF4L3/b/sZ55y7f4Gn3Y+F7SqAi3an9344ccWbZ3P7JgBv2bWV9trOScQ2Ggm56HS0EQsgKlGhoA5wzsk2Nki1DVspt1hThW5Xew3xeNb+5HIyjk1aMxlVm0h0dnbk/I2GzN9sihsCI0/2TWo0RDWi2jQeo76ygtJSFZubspvLYX+hSkWWQH+H0UjEsbRUuBA2HSypN1Co1Njt3BcG8txv626IpDqc/QTyaalmYV0Qtzm3ex9fk4hf2jmsUkQSypqavYjUXqmGaffIkkU7nue1/YssGbU9gzk2rd6I4+zzTTJUoKlEPi/ftcFAv+LWX2QRuB6E6EYhEqKIiIiIiIhnEZxzdQD/G4CvhZgj7Dtl7ibiB6GpLoAoRGcxGgmx6HSEqGSzQjbYFLXZFBODrS1lEaurEi1fuSL7slklT5mMHAOoFTYwqxAxOs7ngfPnZfxnfAbwyU/K/EeOaGPWRkOi1EpFbOIaDeD++zUSXl0V6YcEiERrZUXOc+4cUCig15OhFKIY8B4+LNl6w6HyuySlhSoSYYNk69bGQNumbYVqDccSScdwTEiYQmKSRFbs9rQAPVy3/bOpepYAWcUlLV1uLwXHps8ByTU/acQtvA47t72PIcI5ku5dknIXuseFcyT1R0pzmSOskJq0tmtFJEQRERERERER1xUTh7ivAfC/QoqG3wXgmxd4iv1Y2J4HsBKsKwdgyRy/C5MO9D1zjO5ktMdtjFyLRVWG8nntLsmf0WmjTXmFsgKjXtt3KJtVQsRjcjkhPvW6kLJ6XfZXq/LHffW6EKFuV8Y1mxJZ0iOba2EkardP1kJRKrxkm8KUhP2qMGkqC8cnHXuQ9Ky0tLmk/eG2pPStcK1JcyQRLTtfUqraXu/TCM68lL7wuLQ50+YKt1nyk3RdIYFNS+tLO3+Sssg6NKpDwG6L80UgEqKIiIiIiIiIhcM5twopHP4aAA0Avw6pxflH3vuPLfh0+7Gw/QCApnPuAe/9hybbXgUgA+CDBz5jNis2a9WqkhemvOVy2mcIENJB9QcQJYdpdiQoJEMsmmA6nm24UqlIVDYaASdOCHnpdGQNlYoQII4vl9WneGlJmwSxDxG3FwrA2poQJn4ej4FmEz6TxXgMrK9r5t7OjprbhbfDe83uo8vcvEL0JCJk1RTCpnFZlSQthS1J+bAOZknkJk2FSiMjoSoCaGakdTMvFFQV4609KNGz5+ccrOFKMlqwqllaEG/vk1XYktZglZukGqNMRv07ktZv0+XCa7ffD/tMOJ81biB3J2dfJCIhioiIiIiIiFgonHO/CeAhAL8FcX97r/d+5Jz7xmuY85osbL33jzjn3gvgZyfryAP4SQC/dmCHOUC9ire3Z9UcmiXYqJS2bI3GbDMVptoBs1EuI0Y601WrGgmzU+XOzrSZ6rRuKJvVMWwYBMgYRpGtlsxfKs1G6pPoejR2GI+zyC0dQasll9dqCSm6dEmm7XbllS7jdKOzdSWj0e46EyIkFNzG11AlsPst5ikTe6kW4ba07SHCoD4pjcyuL2mddluaghNuC+dM61Nkx6SRvPB6wtfw+DDFjZ+tuUJ4jUlkN+ne8TuSdh/sbwSEFVAXhUiIIiIiIiIiIhaNLwTwHwD8J9sY9RqxCAvbfwwhQX8ATBuzfttVrYZkh85ytGEDZJttzko3Odq0hWyAeWc2H83mDFUqaptNE4ZuV/sVdbsaXdLNrtdTy+9yWY9vT3rQLi3pdfA83S6yjQLGYze1jSax6fdlShIfGitYy2lrjkejuzRSkkY20vrcJKVupT2W/T6+/abQ7RfjsXLStPmSFLC0FLlwjXYba5FCEsJ1hOdPGzMvnS3p3qQ906Q0vSQSlLSuJEUpHFss6nb2RF4krkcfohuFSIgiIiIiIiJuTXweJFXuQ865RwD8MsT6+qqxCAtb7/06rqYJaxLKZeD0aeCxx4SkbG9rng9VmGxW0thIRKjIdDqyvVTShj00UiDZIbnqdNT4YDSS7dWqOBpUKnKOp5+WsTRgyGTEMa5Ukr+PflSOueMOmZu5VnTI63TkmHweuO8+5CfNWo+ePo2dWhGNhlwul9RuK8/b3pY/W+sB7A6uiXlBJ4PjpN5AfJ+WgmeJAt+HCgVfk1SMML0sKS2Mr2ENCwki9zs3SxTDvjp2bksYkgwIkogTt3HNSelzIeGwGZnhPbH3z64vVKPmgWPohBeuPc1dzyKJPJVK8t2r1XQO285rUbhOfYhuCCIhioiIiIiIuAXhvf8zAH/mnPsOAF8B4J9DFJ0MgNc4557y3m/dzDVeM5wT0kHDA9boUNFh+hyjQ+eUUVQqWuPTauk+7s9m5Sdx52Qsi1MANWs4ckRIDuuDMhlxiGNkvLys5g0nTsjYkyc14uT+XE6vo1qVsZkM0GqhPShia0sdxTc3NU0OkEtl3dBoNNsvxjnZlpQuZgUwYJY4JdX1zFM87JxpSFNlwjFJpGDeeHvu0A8jFP3SCBaxlypkx4VrSEuf24uIpqlU4XXalLk0EhWqRuH7tP12rtBaHVDxk8LmvLVeC2LKXERERERERMR1gfd+G8DbAbzdOfcCiGr0LwD8kHPu9733//CmLvBaQDJDUlGrqWOc/TmeEXKtpqoMHeNGI5mDJKcuPV9RrerxVs2h+kMCVa0qCcpmgUOHdPzx42qgUKnI3/KyzlupwFeq6PeB4nAbqFSw1XZor5NPHcXlM0KCCgV53dyU5drAlsEyrbVt2yRmDtpaEUAvyypBSQpMkmKSpqQQe6XA7UWK7HlCQpSUpmUfEx8ReXDSWMKmvIX756Wqhdts+hwJUVKKWtKcoUFCuG2eKYOdN1yfJYFJxCeJGIXP1BIiYPafAfn/IhEJUURERERERMR1h/f+4wC+1zn3JgBfAlGNnr04fFii3o0N3VYqCQPo9bRRKtPiBgNNUQNUQqhUlFFUq7KNTnV23lxOj6GVGbdfuKDpeZRldnY0xW57W+ama91EOXLDAQqFPLDWAvp9VBqHp0Z2/EW+UFDLYwb7TNNKUjOA2VoP+8s/95MIWGcz61KWpEYkveccIVHYj7NdGPQnpcvZawFmea5VtCjE2ePsNYZKV1Lqn133PBUmiWRYDt7vJ6f1WdJi769NqbPPxJLdEDxH2AyXpCxJkbP1TknnTyJ9SdeYz4s4Wi4nj7taREIUERERERERccPgvR9BnN/ec7PXck3o9ZQtjEYSqY3HWgNk88fIIJhXRqKUyajt9nisznC9nqpBjCTpXmdrfwCxf2u15PPWlp6XfyRPgDrSmbkdpZpCAVmMplbbNnDt9WQIi8rD/bxsgu/ZvyhNBQnnsNuJpLqScK607WlpcUnjLRnbSzmya5uHJOIyLxUvifgkpc+l7QvnCOffa61pqXZ7peCFzy5pXWnn3AvhPeM/n7T+V1eLSIgiIiIiIiIiIg6KtTXNJRuPVQ6h0wCbsrLfENmE7S2UzQoJCiOtwUBriEYjUZHoaJfLqRyRy802CbpwQbYzXw2QuVdX5bVa1Yh1e1tIma11Gg4xzmWnQ0ho2m1tqzQazTbKtKoEbwOg3I8udYRVAkI1wW63CMeG+/iaRFxsQB3WwoRKRtrx4fgQJIRJhCEkOUmEKIlwhPPPIysW1mghVK3CtYXXmpaSl3b+8Bj7DPciQknELYmI8mvu3Oz+RRsrREIUEREREREREXFQnD6txgjjscgozaYqN/wp2+Yv2Zwr9ipibyKaGjDl7tAhOabdlnlLJVGCSIi6XRl/++3A5csaZTabogQ1GrujeUbL2azUE4XRaL+PbKEA5BwKBU2bO3JEjfIaDeVaFKwqFU2XcoEPYBjohj1z7JikgJrjWB9ja2SSlCd7jE0bSyIedm1JqTr1VVgAACAASURBVG3h2pNIWZpqwq8BTQGSUvvCc4Vr2IsohePsvBN+i/F4tp4pifzMQxIJ22tNafOEa+D7cC1JqXb8bQGQ3yAWjUiIrhMmOdJfCuBeADsA3g/g/5jkUHNMCcCPAvhKSPfu3wXwTd77Czd+xRERERERERH7hlV5aLXGVDS+Wh9kG9WFBR65nBCeel0LOSzZogMdjRkYOdNYgSpTtarNWmn2QJWJ52A6Xlj1P4n0R2NhNK7fQyZTRCaj3gzkeLxsu/wwWOTY8Jd9ezr7ehCERCFJ2UiaO4kIpY1LWl+SssM/ez/4FQjnClWitPQ9Iu0a09YTHmNJ5jz1KZwrafteaYtphCdpTvs5JKHhuSxJtj2M92MFfhCESmbamFsRtzQhAvAFAN4G4C8ga/23AH7POffCiesOAPx7AF8E4MsAbECaxb0LwOfe+OVGRERERERE7BuXLwtTyGSEvBw7pt1KSU7qdSEe/b7k+NAEgc1V2EMon5ftq6siu7RaohDRtgyQaOzw4d1Oc8yNqlSAF71Ix/Z68j6fl3U0mzL/xoam9y0tCXmauOWNSlVsbk5cw9fXUakdn6bLAXK5W1vaa8j2buGS7PKA2eCVqVyZjPIxq4xYkwWOtwoOt4VKUiYzmw5nS6hsoM1zcg0E10PXO8tlLamgKzrPwXH8AzQjkuux1uP2nFRw7Frm9SGy67Cfee3cZufi9Xe7yo8tklSovQgqn1MSGbNCpF3XXvMRoUkDX/t9yfCs1+XeHj68eLUmKkTXCd7719nPzrmvAnARwAMA/tg5dwhiP/oG7/0fTsZ8NYBHnHMvm/RwiIiIiIiIiLgVsb09296eRINR7s6O7meRibUAq9Uket7aUomBEWu3q0U6YT0RMRjI/K2WjO90gE9+UqWZalXX0ulof6Qwn6zTkVy4SgXZQgGHm5MoulYDIIH0zo6mzPGS+n1ZEpfFxqzAbKBtf3lPUxGSAud56W38PC/gTqoL4vYwJS4thS8kJGnKDrMY7bmt41p47bzmNHUk6frTFBsSlKSAPkwHJHdOmydcSxIhSxtrrym0U+f94Gf73CzRta8h6eLvAoD8cyDfXxQiIbpxmCQDY33y+gCAPICHOcB7/6hz7gyAlwNIJETOuSIkvY6oL36pEREREREREXNhydB4LKyB1tjjsSpFlFN4DMcDapQASPS3vj4bcTqnxxSLMtZGqL2euh30+6JaUa6gBTiZCyDz0+xhONRjadZAAgUApRLGHV3CYDBbI8RlMGOQlx0GtuFtIsLgOtxukZTCFpKFvZSNtP1paWBWeUpag113mBZIAmAJYgircKUF2kn7QmKSRJxCUhP2KUq65jSSk0SKiJDk8NxJfYjSyF247nnKEz+HdWqLQCRENwDOuQyAHwPw3733H51sXgXQ9963guEXJvvS8CYAb1n8KiMiIiIiIiL2jdVVSXu7dElt16j6UKUhWyDRaDZ3O8f1ekp6jhyRV9p2E4cOybmeflq2s3aIdUWtlsxLUwdb7APIsTyfrUdiFNhoALUaRgVp7sKgdn1dm7ECMqzVmm22SiLES6WJAJc/HGrKlk37YgBtiYdVF8JgmmNDRWHeWLs/KTi3aXVJagdfOZd107NgWppNqQv7NCWRkSTVJU0RsgjXkBSoh3Py3OS+acQoNI4I71m4bz9rCZ9N2OuIa7TfBW4Pm7AOh/JPrmilgQUgEqIbg7cBuB/A5y1grh8E8FbzuQ7g7ALmjYiIiIiIiNgv2m21t/Zef4bnvkJB9heL2puI0ajNXSKj4Htgt6pEZYg9i7JZtYBrNmdz0kolLYgpFOQzo71CQXPYuA5gGqFmxwOMMvnpJhIbOssxi885VYxIhgDZHmbl8dbMqyuxhCUtXS1UMJKIQ5LykJSyZuc/aJAbnoN/lr8CyklDIsdj+XVJUrf2o3glpcztB1zHPLXIXqddcxp5S0L4TNPWt5+5gFlVaDiMhMjiWUGInHM/CeCLATzkvbfE5TyAgnOuGahExyb7EuG97wGYZk6666EbRkRERERERMzH5cvaRwgQxaXfV1OEclnICAlRpyNsgWyCqWtWSuD7fl8d4sZjqU/K54VdsNbo8mU5L48DNDrO56U2qVhUBWk0UqJkZQBGxgDQ7SJTE0KUxQjZbHbqydBqad0GU+TYa9bWdFgLbtbW0EuCSwwJS9J7ft5LKbFz2u1JJIOw5CSJaCWpIUnn5p/tgQvM9um15gZW/bKKmSUPSQpNSN6SUuWSlJqk+2PT50LSEt4ne4+T5p2XTnc9MB7v7ve0yLkjIboOcMJUfgLA6wG8wnv/qWDIhwAMALwawDsnx7wAwGkAH7iBS42IiIiIiIg4KEolkU2aTSUhrAe64w55pTxSrap0ks1Kup11j2OE3GzKmE5H+gSRPLGxa7Wq1trLyxoZnjwprOT22zVqu+02eR2PgXvv1WOoTA2H6jK3tgaUSujlqui35bTVanbqGPfUU0KIhkNJoWPJEl8ZYA+HIlzRba7dnt3HoDMkMHYfsZ80LHtMqAjZuXl79zMeSO5fFKbrWWWIc1DgY/pgOAfPbe+JPb9N3wuvfy+FzGKvfVatsyls3J9ErJJUK6v2pa2br2kOcknXaMFjBwN1tuc/uUUiEqLrh7cBeAOA/wXAlnOOdUEb3vsd7/2Gc+7nAbzVObcOYBNCoD4QHeYiIiIiIiKeBbDeytZQgRExf9K2zgKA7KdLnI04WZTDtDYbtQL62RaCECRSodrE2iYex3kpWZi/XKk6zcpz4xEyGZE8ej0Vv9hP1gbDNuvPLicpSA73J6XI8VI5zm6zQfk8ZYPj01K/kuYLzx2edx6JYulYuHZrQpG09nnEL4k4LAJp6YRJalESGUpa+15pf/tRdZIUsCTSNB7PEs5FIPYhun544+T1j4LtXw3gFyfvvxPAGKIQTRuz3oC1RURERERERFwLmDPW6UgkXK3OpryxDohub72eVoi32/KZc5DcWBu3tTVViGzTV9YTjccyX7Mp87CeiTVEGxsaoXsvChXdEXI5UYd6Pc2FGw6RzWRQq9Um5+kjkylPL4c1RMBs/xwSAQaopVJ6SpYNtEmq2B8nJEdppCTkgDaI5nvbQyj8C8mQVWXC1D3e7nANFrzubHbWGprnIfe1NTuhKhSqZ/vBXqlqIYEJx9prD+24k4jmvBREuz8kQXuR1qS18rsRGl6Q029vy9d5kYgK0XWC937P4h7vfRfAN0/+IiIiIiIiIp4tYHPVfl+i3mZT6nb6fdnHVLelJY3krIkBiQ9riVjvQ8e6el22cx4qSrWa/DG6LhQkjy2T0ZQ4Fu6E0XelopEwiQ8ZRqUiTnPIYjwEMoUydi7LaSsVubxMRpa0syOn3N6Wy7pyRdOaaEFtHcPDNC2LeelhSQQkVB7SCJLdHxKzpKarSYG7TSdLIywM2hnA87EmKSLzCEG4lrRrtq9JY+32JCUoaV02nZD3JkkVsvcjJI9JSCKraeOSiCL/CgX95xCmJy4KkRBFRERERERERBwUVhKgnfXOjtYEUdWhZAKoAmSJiPcyjnVItGYrFjU6pWMB1aJGQz5znu1tLa5gAQ8JkXMy14TwTCNPOh0w+i2VMEJ26hFBLkZnOXo50COCJgKhu1paKtO8dDM7JkkZ2isQDdWneedPIwXhuL3OnxTEM1sym53tTTTvuvaTSrafezcvfc2eK21cSMbSiGj4Gipvdu79PLsQacogoPd2r9S2q0EkRBERERERERERBwVNFCyJYf7Yxob2+yHIIgBhGc2mHLuxIZEWmQcgnzsd/UwmMh5r/yG6yDUaqkqdPq25bcWiKkWrq0KGlpZ0PbkcfK0+5VKDATDYBM6fl9MdPy7ZdGtrmlm3tSX7+33dRlWIIHezgatVhkKFxnJDKi12u3Vms5mFFMdCNYTbwuA9NACwgTbnIuya7CMJbarJPcmNbQsoPi5mNpJcct4kAwXeJ2t2kMloJuY80hH+helx8xQlux6bwRmOSSJTYdriXphHlNKUweFQvmv1+uxzWiQiIYqIiIiIiIiIOCgom1AiabdVHsnnhQDt7Oh+K6Wwt5A1VrD72beIUSGJlbV5ow335qb8bW0Bjz+uUVujMduNkzVEjPabTbhuF7VcDrjUQrFQACoVNO45jPEYyI97OH26iEYDuHhRl83aDdsLJpNRswXyulB9CG9dqEQkpbRxe9JcIQFIavBp5wgbunI/CVRI2Oxa7XtL/vj483mtheJ+KkSWGJZKSm7S5g/vT1Lq2jyESlgaAZpHjACt70paQ3h8uN6kNaWNCa8/7btRrc72Oy6Xd5/nWhAJUURERERERMQtD+fcQwC+B8ADAI4DeL33/j2TfXkAPwDgfwbwfAAbAB4G8C+89+fMHEsQR9cvAaamRt/uvW8feEHZrEZIrPGx4M/tgNb1ZLNqycaGrjYS53wkTIzA2Y9oMFBThaUlVaXabZn3zBmN6G0US0JEdzpG752O7D9/XqL1RgPZbhfZSSR8pJlDpZKdGtH1enIolQ4GzL2emuyFPJG3gq9XoyKkBfFJqoidIzRrSDpPWLhvt9lzA7NOctxnVSFL5Ph1yOWUF1t1i8eHtT57pdKlKT3hfHb9aeQl6Tjbp8hej11TkgIXIul5AOmNecPrt2A2abGoqtyilaLrQYicc/8KwFuCzR/33t97sJnmIxKiiIiIiIiI5w6qAP4awNsBvCvYVwHw2QC+fzLmMIAfB/AbAF5sxr0DQqZeAyAP4BcA/AykTcbBcOmSMAHKDM3mrDc1IPvo9kYZJZudtWJjzlo2K0oP3QgYjVYqMoa5V5x3fV0+Ly3pec+dk/GsFwJmI70jR5L9hVlbxLS+SardYJydBsa2304+r/yKAepopOrIYKBc0LqEW2Jil2VT47gPSFZvkhQFvrfbLWGz2zm/5ahcgz0PiQ5d0wElNc5pUb/NhOSxtn6I6WfjsWyf1xTWkpCwN1NIltIIiv0c7rOvPEcI3rtcbtbdPYmohM50Sfeaa0ir+wlT/NJIr+0/ZMXTReE6KkR/C+Dvm88Lr4CKhCgiIiIiIuI5Au/97wD4HQBwzoX7NiAkZwrn3LcA+HPn3Gnv/Rnn3H0AXgfgJd77v5yM+VYAv+2c+26rJO0LbLRK8lKpaJRcr2vHUo4jScpmdZsthrH5VoBaahUKGmVXq2qYMBhMVZ1p4c7qqmyjiQIj2UZD/o4eVWMG61RHojWx4/aZLMZjYH1NRCS2R7JWyIASFopeljwAegvSkKTcJCkaYSC/VzpeuC9UmEJSFtbB8DptCyhAFbAkBYbXH15X2K8pnDPp2tMUrSQylHbtSeOTiJK9L+E6bPpcWD8VzjFvHeH9mveM0l7HY3W4vx7GCtexD9HQe3/+qo7cJyIhioiIiIiIiEjDIQAewKT5Dl4OoEUyNMHDkNS5BwG8+2CzH9KUNxITWmSfPKkuBFRwmNZGlzgyi81N7R1ko2oSIrrEFQpCiJpN4PBh4JlnZPuRIzI+mwVe9CIlVsxjK5WAlRU558qKRn3NpsokJhK83BIyVC5LJt3mphza7apiAChXs41aWR/DoH8eIbLkJonohGM5j1V90upsuC0pPY1/oQLDMcAsaQmJGPmkDY6pCFFk4+Ng+ynOzb65YZqcPX9S+l8SkvonJalJ+yVDSUTUps8lKVThdSQRWQtuS6rnCtPzwntDY4VMRtzlraK4CBxQIaoHP8r0vPe9lMPuds6dA9AF8AEAb/Len7mmxQaIhCgiIiIiIiJiF5xzJQD/DsCveu83J5tXAVy047z3Q+fc+mRf2lxFSPN0og5A0tPGYyEW7EdE1vDUUzr6/HlNk+v3JWKmIjQcAk88oSlup07J/suXhYWUSrKv3dYOofW6kKDLl+W9jYw/9jEttjh9WglXt6tW3bWaroUR59qarKlSQaORn6aUnTolQfzGhiyDhnZUhEhOuMxOR5ZVKmmwPBhoZiFhlQciTKGzgbatBQqFNevAFhICm9JVLCp/bbdV1CuX5XpIVjIZuUWh6sPrpNO6NRC0raSYQsiAvVzW9lQ2BbDX0zREex57b/hnSaAlnYQlLKH6xfuQpkylparZZ2VT+Ow9Dclc+GqJz17EN9xu+xDx/LWanJ/fv0XigITobLDr+wD8q4RDPgjgqwB8HJKq+xYAf+Kcu997v3XViw0QCVFERERERETEDCYGC78OwAF44wKmfBN2F0Zr0QyjYUDzeSilOKd1Q8Uipk1+bLTIpjWy+NliHe6352RUTwWJ+Ww8jrk/3Ec20u/L+UOJpVBQNlAoIF8aARkA3T6azfKUdGxv7xaybMDLSy6VZB/71XLZFLvsZ0AL5q3aQL5I2JQtqybY95YgcLsN3nkOnpPnsASHbaJ47rA+yBIeGzyz5ZQN4u1abM0LDSmswBCShySlxoLXOo/ghGpLaB6RhiTFzL4PnwWPSSJIoWqUtj2JKIUEis+MzzSt39XV4oD35hQAS2gS1aFJmi/xN865DwL4NIAvB/DzV7nUXYiEKCIiIiIiImIKQ4aeB+BVRh0CgPMAVoLxOQBLk31p+EEAbzWf6wDOolKRqIyV+ZQW8nnJ7SFIhtiXiLVA1arst4SG0TnVIfYRArTuqFaT/awwz+U0Pe6224T00A6OzIUpd72eyD2M6Ot1WcfmpnwulfR9t4tsqYR6pYJuozx1mjt8WBQPm0rV72uAevSo7LcqBi/DFuuz3w1vC1Pu2m1ZLm+FHWsVA9463kZyPaaqMdNQn7UG183m7hS4alVFOBIWrsE+SlvCxVvL+akgFYtyq8ld63X12mBAz8dDoY5cmPeV1wwkp9VZxSct1c72FgpTBkNCws82Fc2eK2kuqzzx3GkOfdwXpsbxc/hcrcpXKsnXniV0Ye+rReCAhGgr+G/LvuC9bznnPgHgroMeOw+REEVEREREREQAmCFDdwN4pff+cjDkAwCazrkHvPcfmmx7FUQP+WDavJPagOkvwNPagZMnd/+szYjp5EmRVLpdqTViTQ+gKXHb2/K53dZo+LzhZf2+bN/cnJVTGD17ryyj29W+R8OhzsXomg1Zx2PgyhV5X6moukVHulZr1p2uUsEgpw1fxmO5DBIdkoGNDVVWtrZkObamKCxYHw4lqLVNSG1KFpUlG2QnpVPZFDQSMmv9bdUaOsOx5om3kaqPVWGsj4V1U6cSxGtgEG3VJrqxs70Ug3qKd7wOy4GtKSH76+zs6Pw2jY7Od/x68H7Y9djjwjREkr7wGiwhsMTAqj/cHtYVpdULWee+Uml2rD2HVfPsM+dvAhRDKZDmcvo1XRQOqp5dDZxzNQB3Avjla5tpFpEQRUREREREPEcwCSbsL6t3OOc+C8A6gGcA/BeI9fYXA8g651gXtO6973vvH3HOvRfAzzrnvhFiu/2TAH7twA5zgJIRKjyMgLnPyg3AbPRp2QGLSVgYwYiR0S6bsJIlsBcRZRCyC+8l9Y2RKZUe+0cP7PFY2UAYjTK/azI+X/IoFNxMMGsJRCYjp/ZeLoF/XCqXCeh2EhgbYPI2JsGmmHmva+Bt5np4i8O1UsDzXt6TgOTzs72FeOtsbyG7TpIn+1hJvGzmpD0vP5OMcLu9dpI5q0pZIkYli2sOezzZ1D5LMC35ICkLUws5ltttvdbSkvD19fVZ0kOia5W7echktK7Mqlg8jvfPmmDYFDkKnLa/lb0Hi8D1IETOuR8B8JuQNLkTkFqjEYBfvZo1piESooiIiIiIiOcOXgzgfeYz09h+CVLQ/A8nn/8qOO6VAP5o8v4fQ0jQHwDTxqzfdlWrWVuT13JZc50YzV28KISk3RYliO5wW1sy9uhRzadi7lU2K2oSq/4PH5ZtVJJoWWZzrrwXVYcqEiNXQCLQjQ3Z32zKvDs7sl5KOb2eqFWAONCdPg2cPStrKpflvXM49JKXoNssotORQ9ttmXZtTTPt1tdlGTYNrtWaCk1TIkHnORuY8/YxLa9eV0WAxzFz0Dq3WeMDa2lt+yGRa7KciupKmPoG6DqZUTgey63j+3xee+aeOiXHh+YITPGyqW+AvCdftepJt6ttoAD5zDQ+zru5KecZDGbT/TodGd9uK3nguUOliNvsGsJyMj4rZn+++c3A+98P/NzPzaa78by2zy8JF3tKWYKRywF33y1ftbW1WfJG93fraGe/Q8vLkiF65Ij88wCACxeu2gI7Ffa7Nm/MAXEKQn6OALgE4E8BvMx7f+ngK0xHJEQRERERERHPEXjv/whilJCGPasKvPfruJomrElgPRAjaqsKHTmi0SmVJEa5rPBnpFyvz9YgcXu1ulvqsLVIVHdyOSVUTIOzP9lTwmAeF40dWP/EdWYykk7HbeyEybw0qIDU62nqHAPfbFaGUoAiQlUCmE2VozmfDeCpLPHSSELyeV0O57W1NLxM2/JpMNDg36pQJEYkBTZtzaoPtq+uJRK8D/Y22hoYEhvOy3Q5rs9uJ+clMbTXACgZIvnh147kMszatGQkTF1LG2sVIBKn//pfgTNndtf+WDLFZ2jn53z2e3Dhgj5nOw/JE6BqkAW/yt3u7HN5NihE3vuvvPoV7R+REEVERERERETcHPBn7PPn5T2b9bBqn0SkXJbotd1WgwU6y2UyKoc4J4SIrnAkUjZ/yxZVsIKf0olzat/NwhRbbMMolEU0lgxRBqGaVSzK+NVVmdNU2vf7GtBbAkNFg8Exf3GnEEY4N5vBZ7P4AA2wAbVYtqSnUpFXbrcZi7yl5KXF4m5XNEtKej15PEz3s3NQLdjaUqME1vzQmA+YDe6ZFtbva0PbMNCmUsUAnyVg/Erx2pgVyWOonlHhsWTQEhm+hqmDIUGx48I5eA3vfa+uK7TQtiYLoeIXYjwW0TSEvQ4+r1JJv0cks+Ox8HjyfqY+LhI3ooboeiESooiIiIiIiIibg6efBo4d03yl0UiIBSC5YpQOWBRSLkv+DwtCDh3SaJjExja3KZVkjnZbijnYj8iSoEpF1rC2Juc/flxJVD6veU0nT6qixOh+eXnWFYARcaMxZRWjUhWbLWA4LKLbnRWl6MWQyWgP2u3t2YDZmiuEbmIMdBlk2sCal0cSYFsm0cCPtTg8R0g6bLpYJiO3ztpVey+PodXSPkTWo4JkpNudbUBLftpu62Mql5XkMOWOmYjFoqhM5Kd8JDY9y9Yp2RRAErNeb/Y+JV2n/UySGVqXW7Jpn0GSesRjuCbuT6sBardVObJW6JZIEXyeVpWyKXh2HfafBrm6c7P+I4tAJEQREREREREREQdFpTJbzGKNFba2NHKzFeiMitn5k/lilDmYfue9so1uVxnHYKCNfhjBDwYqV1C+yOclSt/ZUT9qdlZl3VJYzEKmw8iw00FmWYNc1srs7ChhCAvyCWsqwMA+VCnC4NvCKheW7IRqBucJyVWYlhXCmjTYGiLbHJXzWeJCUsRXQN3reE9smh/XTwXKXj/vjb0OS4YIa8AQWlaHqo+9b/ZeJW0LxyeluoWpjxbh18caLnCtYRqdXWf4PsnwAVDRlcogIMRo0TVEkRBFRERERERERBwUKyvApUu7JY5+XwgMew21WrMV7bUacN99IqcwB4pglNzpiCpEqeT8eRnLn8nrddnGuiP6QbdaEjmWSjKm05HzrK8LGTp1Ss81Hss5Gg1N5avVlKCtr8OtrKBQKKNUktNvbamt9nisdUQMgpnZR5WE5IBlU1R07BKo1ljSlESCwjoXQOt9bO1OaAdt3d44nxXEuB4KeZa4jEZa9gVoqiD3U4xjPQ9T7lgLxDXxWnisJTa2mD+TmbXrtr2TAFm3ddsjbB1OqJZZhGQy3Mc12HnC+83XJKWI3wW7Xks00lL3iFCp4u8BtiGrcyKuWkOIRSASooiIiIiIiIiIg2JjQ6K1RkObowKzESzrcGgxduSIEI/BQImLjfaZrgao5dlgIMSFkTAJ0eqqShDMKVpZma0bYr7Z85+vhgtkA6wfYo5TqQRUKvCVqgR+J25Duy3LZtukTkdrdzod/bMmBuRwrJXp9WabjLK8yaazhQoGbx0wOwaYTbcieQiDWTsHiYNtCEszBVo5j0ZaukWSRQXCOrgxCCcBHI1mPCdmHNTD4J61VKEaxX1cNy3EqURZNcq6t1n1LDzXPEUtvEdhkG/VqLR5iVCFC8kUoF+3pPS8sBmrTXO0qZWAPDuW5l2+vLtp7rUiEqKIiIiIiIiIiIOi358t9kiKGu17qjBMoyPCggnC5moxcmfKHeeyEa/1Kg4bvNRqsw50uZz6K/OPBGmybFvoz3ob6/TFOhU2C7XgZTPQt4oCLystUA9rSOzxIeYRKTuGSg9ha1uSkMnMpr1ZkhCey763bnThGgElQVSSLBGyr+G2pPdh/VAaaQnn2wvhvQ75/bzjgNl7RLXO1hHNS52zx9jnyhZdVNjm9ay6WkRCFBERERERERFxUNC+mlbVS0uaS0YWwfofus1ZazIyglpt1i5tMBA5hmoRSVChIHKFbeBaKMi4zU2VPkh+aEfG4zIZdZNjlMoIlOynVoNbv4x8JoM8exfVMiiVsnjiCblUps8B8trracYey5nCVCp7KkBfbeoal8qxRBppArQvbdL4kCAwLc/uI+mx4DrG41klqVBQw8DQYY7Xb9UQPk4G7naNluvauhmOD6/Hkh+qVPtRZ9I4ujU9COewZMQaYYTHA5rOxtQ2SzTDHkzhObg9nBtQJcwSquFQjTsqld3P7VqxH4K1aBK2KERCFBEREREREXFzcPy45o4BSk4Azc0aDjVlzub8ABLdUWVinhQ7iTabs45zNEWoVFThYYqetXGrVCSS3NlRksXul1bSAWYjXWvnRnS7QKmEXt9NSU6lIoZ2vDQb/NLYjlmAgDYJ7fW01RGXy+N5XFKtCedOWjIw22IpVExsQG1JlQ3yae9Mjshxtq8O5+n31UXPBsZM4cvnZ7fzPFQ1aI4QkjCr8kSVJAAAIABJREFUnvA+0lqa12RVlzD1jMda7Kfuh8dZ8pOWdph0HktgASVGNj3SniOp5idU2CzstVr1iHPPU6uuBkxX3GvMrYhIiCIiIiIiIiJuDpiDZSM9RrO2yIQNWy1rIBghW8mCcydFsIw6mW/FZjq9nkZztkGN7aDKqN4WvACzLIWWXgDQ7cKXytNUOQa1JAtJqow1OAB2EyaSAhukh8dYBcIGxBZhCloIm1YWprnZ9YbHhwqF3U7iMx4roaGgZ+uImA7H46ylNvenEZgwrdCuKbwf89LrklLR9pMONi/tLimtzz4n+8d99txJ86cRonAsjRFJOq8HMYmEKCIiIiIiIiLioHj/+9VKjY15ul3tHsmmPWfPSkS3vS3dKbNZscnqdCTCardVTqAqxD5FrB06c0blDjZfpf02z5fNAhcuaMS4tKS2cEyVG49FsSqV5LxMx9velvPmctpLqdOBKxRQLFanznL9vnhJ0GDB9vahHTez79g/ZzRSIYyXZkkVL52NTAHlfVb5AWaz+4Dd6WSEVXw4vz2ndRm3Co21jLbH2blsQM5aIyu8MajmuKReQXZbGuHhWuz+UBUKiUXSvQjH2nuTNF9IRq1zH2F7Gdm1hcTMZmayx5CtEbOOdHwfPi8+D4qngGSIzqsBuxpEQhQRERERERERcVBUq0JOrG9z6JkMqPqysyNEhuluVJZshXhSbtfOjtYQcTugRMr6RYdzsJMlj69UlFWQbGWz4lrXaKhLHQBUKhhkitMGpP2+NiPldFwSFaQwSAdmU9esjXSoiti6Fqsg2VSuMP0tPE+YWmVrevjeki6r7Nhba7MVw/UynY3HWatxa6pgTSksIbRzphE5riFU4pLIW7jGJL+OsMFq0hrm3duk5xW+T9tmSQ3XYkXVpDQ+jrfb6dxHj5BIiBSREEVERERERETcHBw6JH/nz8vnbFaq7oHd9mRMbVteViWJjXmoztiGNCyOcU5rjxilcwxJTaWivtfcz5/S6TrHYg82k+31ZM5iUVlHs4mdTBUF84t+pyMBNvvqdDq6NAbsgIpNYWoULysMxG1gz7EhOQkD9pA4hQjVJEuI+J4khQSJKYAE52bAPhrNno+vNnC2KX98pJmM2njbnkQ81pLD8VhJlq1nsgQxbVtINiz5tOsFdjc9De9veF8tSUojSyFRtbVe3G9T6Kg2hXVAVpkKz2HB89Vqe5OXgyISooiIiIiIiIiIq8F4LCSItUE7O7KN0Tdd3+p1UWtYL1SvyzjmW9GijERqOFQFqNmUMfxMe+xaTY7f3BR1x8oa3gt7abXk2NtvV2Vqe1vYy2ikjVkvXgSGQ5RXxsC4hGwmg3wpB+fyU7WjUpGlcGmdjmTjsbajWlUlhHys3Zal0Amcv/KHKgDPkaYu8b0NtIHdNU0hIaNLHPfzHDZ4t4SIsO5wBOufeHsB9cKwt51ji8VZAuDc7JyDgXJXW1Zmew2RBNHvotPZrXqFBNTeH4twjH1vn0Oo6iSpdJY8kWtb573wmRFMmWN6nHXMC5WycK2WbA6H8n1bJCIhioiIiIiIiIg4KDIZiWrZWyhMmWOUaxUbG9URdhtlg0JBvZxJsKydF63cKNcAs9ZlnIdghE0jBu81widLIFthsQeAYjE/bT5qxSb+FYu7L4EEg7fEKgVcEk/FbXa5ISmywXJIesKx4fukRxYGtUlqik2L4xqtox3HZ7Oz18ksxGJRXeJszRMf03isjzZpjeHn0AFu3vjwOg8axKeN3+teh2pSEqkJP1vTi3CcfdZWbGWj3yTXumtBJEQREREREREREQdFNiuRfaWikRQNCdpt2VYsaoMeQFLsAO1wms3OHs/ImmOdE5WHKXOsQ6pUgEuXZP7lZVGJ6BrHtTGvjWBOG4nToUMSWbZas+SKhKhQQD4zQq2WnTGho7N3vy/LoqLR6ejhDOK9l2XZhq6l0qyaQEJBkmRTvmzdCWFtnUODgDRyQGXC9rWxKXXAbKNUqll2fZmMpgnycZL3suct5yZxJDm09UR8TCSQltzxXHxcvMbQzS2JEFp7ciIkkiGSUhztfbNj0hQcm6Znn0vSfLa+y9ZBWVJq0/g41jrI8ztmVbVFIKknVYhIiCIiIiIiIiIiLKiy9HpKJjY2VBpgnhab+ORywPq6vC+XtVfQaKQRNyNnRsckXVtbMr5UEvLTamnkaO2yt7Y0imfO1qSf0DSSZNS8sSFjmN7HJrInTkzX0suUsbkpy97cFJ5n/xi025Q1EiYG8sOh3BIreDEIZ7odyQMDY/JIG4CSCIUF+XwNA3irSFEAC9O9rLMZbw+vB1CCwjn5qJnxyDmoFPGV9VacJ6mOypaZcX1hE9eQjFgSZNPS9hqfpBZReLQIj7NEyY61tUxhXVN4XHj+UJEjmeL89rtjr5fPolgUIs5yvUVhP2QnEqLrDOfcNwP4HgCrAP4awLd67//85q4qIiIiIiIiYi5sUUkmo41pSIpsQY0tzGCEzJ+lyQzIMLiN8zFCJMNgp1P2PLJSBJUnQGUXkib+ZTJCsFjgQ2ZgG/AMh6npW2HAy8uz3g5JdTghkrL87Nzh8SHJsa92TPjK9Lak+SjOOacqUVJaWJihaNdtr8WWgZEA2PS7vZBEfuz7tPS5qw3Wk9LbQuIS3vekNMPw2YXj085hlSNeXzgHQfJslb1FIRKimwzn3FcAeCuAbwTwQQDfAeB3nXMv8N5fvKmLi4iIiIiIiEgHZQDnND0tVIjoNtBui3wyGml+WT6v+WPez7INyhXMUxuNZtPibA+iVkvWsLWlBT3WA5qSxcWLKnMMBvIze6Eg+2iw8KlPTX+Gzw93cHS5hFzOzQSiLIyn4ERvCLrS2dtDsWtnRw31yAWtgQCgyx0MlAeGdSlhXyBr0sBtJDY2lYttmzhHpaKlWICSuUJBHtlgMEtqCgW5RYOB3G6KevTKoBkgA3ryXjZqpUJF17mwFsmmhpF8AXoNdt1hupmtx+L9Jbh9r95BSe59IRkK99k0RWtrHs47LzUvTJ/jtnCtgDyvSmX3HItAJEQ3H98F4Ge9978AAM65bwTwRQD+OYAfupkLi4iIiIiIiEjBeKxRtvca+ZIcbW/PFlhUKkpUGLUzUmXUWa/L3DbHij+L066bsKygVJo1b6BcERailMuaPtdsahTbbmuxD89vkM+XZwJmilWVipKjclmWYANWkgKmnTGDjwEyRS7W1vCyWVZlSQnPZRWEsL4khG0Eats0seaHa+d2S6Ys6CZHAsfHrvdn9lGQk5IosR2UTY9jRmO/r45p29u6HtYrURCkcsXUskZjtubKEhdL5CxCW2z71bMpa3acFSa5jfeO94JfIxorWtUnKYXOwqpHlhhZYhnaig+Hi68hioToJsI5VwDwAIAf5Dbv/dg59zCAl6ccUwRQNJvq13WREREREREREbsxHmsfH0a5VpWhCsOf+63HcFicYotnAI2UeQ4W4IT9hkJ3ABsR09XARsyMIhm5h57RIauYRL75SnnmVHwlSQGU3FiiwACSrm1h3UuoPjDtzpY89fuztUY0YLAKkb1dPL8NqC0yGQ3imXHI7aFKQs6azysByGTkkXS7yaaANFnI53XtbBXFLEhyU14HVabBQM/P/SGntRmRafyY93Iv1cg+B167JTTcTntvu81+H2zdWDg3Mc8pj/utYpikXPHZ8neHRSISopuLZQBZABeC7RcA3JtyzJsAvOV6LioiIiIiIiJiD/AncZKbel2j/s1NjYytNGL7CFEWaLfl1Tq85XLiJgdoihsgOVv0dWZfIpKvbFbm3NrSNDtGjUznO39eI2U2tbEsp9fT6D+bnaYEFpqHp1l7zaakjLG/D43qLl6UJdlLqNc1tc4a8THVjmNtj1r2p81k5HJJinibLDe0x5McjUZqekDDA5KpdlvG0EKcnJG3iISN6wGUW+bzMoYtngBZZ7Mpag1T8CyBsMYKwyGwtqZqEh8ZDSXGYz0Hv14UH1dX9VHTULDf1+vgtbI8jOmNtr7LEpmQsFizCru9VpslShxrVSUrdhYKcgxT5zY39Vq4jfNY8RTQPsPj8awrH6+TXD6TAY4f12ewKERC9OzDD0Jqjog6gLNXM1GlUkF78l+YyvVKyoyIiIi4BRH/+/fsg3PuIYgB0QMAjgN4vff+PSljfwrANwD4Tu/9j5ntSwB+AsCXABgDeCeAb/fetw+8IJoSABqdM9Lc3Nyd30X5ghEna4ZYF8TIm6CNFqNDWnRzHsom3a661+XzwirYyJWgPRdZg3OzzAWQudnglVHuhNS5Wg2HGg00TpanaVI2RapQkOG1mqogtvEpOSAvk5exva11IVRSrFM4L7nXU35o06c6Hc1EtCVYvDVUrDIZOf7yZdnHQD+4zGnNE7eHt5wCIBvUEqyHsreTgX+jIfOORnJe24yVa+x2tbQMUBWr09HHROLA+7OzM/vV4jEhceHXkeB9DNWbSkXGk+yOx0pu+Nw4limAw6HcC9qvdzpyLms5zq87v3q21qjd1vlrtdn6Iz5fXi/L8fgdWXQfojTbdotIiK4f1gCMABwLth8DcD7pAO99D8C0qtJdg2bonEN10a1+IyIiIp4FiP/9e1aiCnFifTuAd6UNcs69HsDLAJxL2P0OCJl6DYA8gF8A/v/2zj3OrqrK899fvVO59UglqYQigSCEACowvB8qKNo+2rGxXzpqj9ijn8HxhY8Ru52eQZkZX42DfqDb5wgiNuoHG7u1kRFtHx9AMCANCIgYQhJC5V2p1Lsq2fPHOqvOqUvlndS9N7W+n8/51L1n73vOOvueunv/zlp7bb4EvGm/rRkczEdQ7jZwpeAjPQ+P85F0U5ONyPv784kkIyO5sPLj+egSckFUV2ciaWQkP3dLi3mENm+2OsU4M8i9SW5ba2s+8hsenjpqbmmx0burBd/nI9D2dtTaSn1LC/NKJVqXzWFgwA7jHonBQTtlf79tRa+AD8T7+3PvSH+/DXI7OkzT7dpl3hAPNfOIQ/eUjI7aPjfPPRI+OHZTe3utqRYuzHWha73BQZg3L/dY+edLJRMD4+P519XQYPa4vnRvhS83NTYGzz6b21b07njo2YIFZo8P6P228EG9i5ihIWsDDwvr6jJbBwby65+YsOtqaJiqd4tCwz1bnlF9fDz3VLkNMFW0NjXZNUn5cYtT2opzqryuz6M6+mhro+Fhy+S+caO1tXu9xsamrj1UXEuoGGbX0pLfun7PDA1Z+3l7+i3a0pJHlx4qPBPg3upUIzUviFJKY5LuBy4BbgOQVJe9v66StgVBEARBNZFSuh24HXb/MFDS0ZgH6JXAD8rKTgZeBZydUlqZ7XsP8C+SPpRSmk5A7cmgPBbL47w8tsdn5hdTicFU98GOHbYV6xUnjBRHlHPm2AjQhdDcuXnK7La2qTFGxfRmzc1TH7H7aNRHpD6RxtdEKoo5mJqKzeOzWlthzhyaOzpozo63pKsTTugitc5l61Y73Oio/XXvS2+v7ZszJx/weghZczOcdJLt37Ild2Y1NppIGRyc6iXp7LQyFwfubXIH3JIlubne/D4VC/JLbGiAtqZRaGhgx1A969fb53t68sG5i4/+fhMpra32d/16s23NGr+/TBy0t9u2YYOdc/FieOQRG9yvWJGHuzU02HHmd+5kS189Q0MmKObONTsXLoTVq+34nlTBw/3Gxuz8YNc8PGx2j4/bMTx8rqvL9nd25p4yFyv+9fu5li0zmx55JPfoXHhhPtVt40a7VRYteq53raUFjj/e7NiwAc4/32y9+2773vv77fo9Iz3kOTy2bLGy4tJafX35clu9vWZnfz+ccYZ9t1u3Tp0/dSjYtWvv85JCEB1ePgvcKGklcB+Wdnsu9tQqCIIgCIJ9IHugeBPwmZTSb6YRTecDfS6GMu7EQufOBf5xN8edPpmRP3L3OB9fA8jD2VyU+GQbn00PU9NplS/e4+XFEDtPue3ui2Iu45Tyc/ljd4/DGh3NR66QiyUXP+WP64uZ6jy9mXux3A3kLpWWljw2rbMTurpQqcR8VyILWkntHWiXxYJ1d7exaxfMYZjxBvMubd2aT8qf32oLz65dp8kscL4OrXtn5swx/dfaCo0NaUqM2c6mOZNzmBZ1jeduqqIozb6z5qKLptfCG9tKJVacuICEUP92OtrzVGo7u5sZGoK21iw2bmSC7u62yTAzH+wvWGBN0dYyTkNDI42NUNq5nec9r4OxMVjSth0WZufduBG29sOTW5nf08P8lhaWdrXm8Wrr1rFiyWJ6euZOTv0Cu/7x8Xwult8SnoV97dr8llq4MNfN7olZuNDKBwdNvDQ0mABcsiQXnB6Ot2JF/nWvW5d7vLq6co+Oa+SFTdtJ7R2sXg3zR56BpiaWL19Ia6sJGw9HhHyu2dBQ7sD0ZBm7dtk1bttmtm3enIf99WaxU367HkpCEFWYlNK3JC0EPo4tzPog8KqUUnmihSAIgiAIds+VwATw+d2ULwamrO+XUpqQtDUr2x3TJzPynND9/fZ6eNg2n58DNlItlXIB5Km5XbC4oCruK89R7J6iYnieCyBgMm5t1y4bPXrI28CAjWRdlHkaOJ+w4iF8LoAaG+1aOjvtWFu35sfyiSyeRcDFl7tx5s+3UXJjoz3yL5UsxM5H2ePjNHsO6jVraDzhBOYtXsy8UgnW95ndTz4J7e0sPfVUsyPLvDC/oYH5TU3mwvhdLzz+eD7CHx6edCfVNzbScdRRdCxYAKuGbPT85JN2bb6IkAvCTZtMBfT0mMsEzIbVq1FDg+1zwTkyQn1dHW0+CaalBbq7mbNrkDmlOha8YA5r1tigf948KDWOwsbNzGtvh1Fzgy1qH4K6XbDy8XzC1T335PPHjjoqd2Gdcoqd/9FH4ZFHaKuvp+2ii8z2oSGL0Wtu5pgXLWfzZmumJUvM1NFRePBB+0q7u+3yJiZg5crc63PSSfnt+uSTZs6SJXkznHSSNcXQEJx3HrQ1DMPGjZx5xjHs3CXqx4bhoYfs/ujpgTUbTVlt24aWLeO4c86BX/0ampt5/stfwdy51jZ+frDzutBdsMBu8a4u827t3AlLl8Izz8CqVVbfvUU//7ndWt3dedjioSIEURWQUrqOCJELgiAIggNC0pnA+4AzUjrkw5bpkxl1dOQDc5+rA/mjfA9XKy7i4rgYKabdKg+dc6FS9CZ5fmZ/714qj6nyhWyKoW++6KpPJhkczN0GxTg0vwY/VnHSTHe3fc5XV3W3zsBAvurqwMDUjAjFRWg85K7oVRsZyb04PoFoZMTixFxkdnTkHpM1a3KRtzjTr3199repCU48MQ9FHB01O4eG8hRtLkDr6mwg76uo/vKXdi09PXadYOfyNu7uzjMAeMYBj59raUGl3FtU2rkdnuk1d4rHAG7alJ9r69Z8NH/GGfZ+wwY45hhzf3naOZ9M5e4Xv1cmJszF09pKX1+mQRmHoRFobWN4eLKYnh6oHxmEUiudnZrM4L6IDTC3iXT0vMlEhT090FaymLxSqZHOTms6iTxpx8gI9aWSKRi/T7u7TT3t2GFq0F16Cxda24wMc9ySBtKyRp55xr7SsbF8CazitLbm5ryp/Sv2OU3eJAMDuVOwuJDroeBwCiJJ78ISwizG5kG+J6V034Ed7bkcMYIoCIIgCIKD4sVAN7CmECpXD1wj6YqU0jIsWVF38UOSGoAudpPICPaQzKh8FruHtrnAKF8spfjaRYLnKy7G/3gYXLGuCyoXTcWQt6LnKaWpMVSQZyiAPBue1y9fbdM9SD5hpbhQq3t4PHtAMRfzzp15ZgO/zvJrcrHks+UHB23r67MBt9tSDHXz+VguJvw8nvrNBV1zs7kOPFnF2NhUL5h7zHzySzHvdjG1mws2n5Dk+7wt3MaBgXyl1YkJ5ixooKlrDmzO4sCGh3MB5vb49+zn8LRqQ0N53m5vMy93xeCiupC4w+ch0T8EQ0PUt7RQV9c4+ZH6sWFrj4kJ2ts7Jp1pbNxomQPr6iiVOvIM75s3w8QEbQsW0NDdyNAQlJrHYfuQ2e/3kU9CKmZFHBvLHwgMDeWZI7JsDqqro7Nz4aRuLib29AVmM1OBqZGlHR35M4HNm/MU7IdjHaLDIYgkvQF7oHI5cC82NeYOSStSShv3+OF9JARREARBEARgc4fuLNt3R7bf5+TeA3RKOjOldH+272VAHTZQ2T+Kq3rC1NcuknzGO9hoyz0UPvLz+UDT4XmefUDvggTynM2exc69Cz7SLMYn+bFcBPks+WLYnQsLn7HvuaWHhvIwrdHR3KbBQQuNK+ZA9mvZvDmf7OMDZxc/RSHgqcI3bLD4qNbWfMKKi5D16y1UrqPDvDbt7Znroz73jHV02Pl6e3MR4/O5enrykMWGBgtNmzvX6nZ12XbKKXYNPT0WyzUyYp/xRBbuvaqrs9gyyMMO+/tNYCxYQL0vSOQhh751dprHyOPCfPKUh98tXpxnUhgZyW1ftGiy7mjnIktgsWpVPhFo/gsYHIRSqWQTh0ZGmN/ZyXD9vPweWGershxz+tmsWpVlkBsZmPweXBBpYIeF6I2MwFlnMaeujjm7JuDuR82Wtrbca1dfb9+LX0cxG6J7Jd1bWFiMuFRXR6mznTlzGienpDU357dJcZ2kE06wZq2rs2QNfX25k83XvBoc3Of/1H3iMHqIPgB8OaX0NQBJlwN/CPwl8MkDOmIZIYiCIAiCYJYgqQScUNh1nKTTga0ppTXAlrL640BvSum3ACmlxyT9EPhyNihpxMLVb9nvDHOQZ3zzwbEnGPAVNcszyxVxYVHEn6qb8XnuZxcvfiwXMl7XEzh4fZj6GT9PUQxBPl/JR6EesuZizV97EgYXREWviXucPHVaU5MNktva8rTe/ln3PG3ZkntcfOEbD8sqlfJUcJ7K3CfouGtg/fqpK4v6eXwxI/ei7dhh5/LJJu6C8LCunTvz9HGQCx9/7WLPM/q5G8NjvTyFW2+v2eAeET/m8LDZ49c1Pm4TfBYuNOG0cWP+/fT3mwCbPz/3IG3bNnmu5oEtJkqffdbq1dWx+PmZkFnfZ8dduhSamlgyr8nsWNVr4rSpiUbGWXFitsrpj7ZMrlDbffoi6tkJT6zLFz1atcrC4kqlfP7a6GieFaGvz9p1dNTmc61aZd+R3xOeRcEFtnu4hoZMhLW3UypZsgVPSjE8PNVDBFa2eDE89ZSZ0taWOyf91juU+FS+PbG/gkhSE7Zu2ifyY6Rdku7EkrwcEkIQFegvrroVBEEQHHbid3fGOQv418J7n9dzI3DZPh7jzZgI+jFMLsz63gMxpt8X4HEviC+Mk9LUxAc+AcIfQXu5i5riX5j6qLqYSc7TfBe9D55r2UPofIXS4gIvXsc/6+F0o6O5p6WxcWr4m28urIriyK+rWDY0ZMerq7OZ8Z7+zM/pA+vxcRvo19fno18Pn9uwYTIZw6SI3L7dynzRWJ93NDJibdTebufdtcuEgou3tjb77Pr1uYfOcz/7d+YL/7jAGx62SSwNDSammpvtvJ6xwAVZc7MJBmdoKE8y4XXc5rExE0ye3eDhh2H5cjj2WNvvbb59u3m6IA9NGxiweTnz59v5n33Wrsc9bOvW2ue2bTNhkpIdo7fXPrtli5W3tpr42rbNtk2b8mtcvNjO9fTT1haej9u/Y29ryPePjdkx/Dtdu9Zs83utKPbq6uwamprylHRz5zK+qNkiHRmFugYmGuunTDHziEWPSnSHZWenfd2muQ7t729K/fsgeCbP2VaWxXI0C60tZwEWulueKG0DcNIBmDktOvTzJmuPbM2FdZW2IwiCYBazJKX0TKWNCGYGScuApypsRhAExkH9/kpqwf6f95RpssgAUCrb97GU0lXTHLsHeAa4IKV0T2H/p4GLUkrnHpDRZYSHyFgPLAF2HODnLVvOwR1jJqk1e6H2bK41e6H2bK41e6H2bJ4pe9uw3+Fg9rA1+1sr/wvVRK39jlQT0XbP5aB/f1NKI5KOA5oO4jDTeYcANgM7gUVl+xexh0Qu+0sIIiBLL3owythf7kgpVX38R63ZC7Vnc63ZC7Vnc63ZC7Vn8wzaW/VtERw2auJ/oZqotd+RaiLabloOSTuklEaAkUNxrLLjjkm6H7gEuA0mF5C+hEO43E4IoiAIgiAIgiAIqpXPAjdKWgnch6Xdnkue/fKgCUEUBEEQBEEQBEFVklL6lqSFwMexeUoPAq9KKZUnWjhgQhAdGkaBj7H7+Mdqo9bshdqzudbshdqzudbshdqzudbsDWqHuLcOnGi7AyfarkZJKV3HIQyRKyeyzAVBEARBEARBMGupq7QBQRAEQRAEQRAElSIEURAEQRAEQRAEs5YQREEQBEEQBEEQzFpCEAVBEARBEARBMGsJQXSQSHqXpNWSRiTdK+mcStsEIOmvJP1K0g5JGyXdJmlFWZ0WSddL2iJpQNKtkspXAq4Ykj4iKUm6trCvqmyWdLSkb2T2DEt6WNJZhXJJ+rikZ7PyOyUtr6C99ZKulvRUZs/vJf2NCqvVVdJmSS+R9M+S1mff/aVl5Xu1TVKXpJsl9Uvqk/RVSaVK2CypUdKnsvtiMKvzdUk9lbJ5b21cVvcLWZ0rKmVvcGRSrX1ntSDpqux/r7g9Xiivqr6wktRivxFUHyGIDgJJb8AWi/oYcAbwb8AdkroraphxEXA9cB7wCqAR+H+S5hbq/B/g3wN/ltXvAb47w3ZOi6Szgf8MPFRWVDU2S5oH3AWMA68GTgE+CGwrVPsw8F7gcuBcYBC7R1pm1tpJrgTeCbwbODl7/2HgPYU6lbR5LvZ/9K7dlO+LbTcDz8fu+9cCLwG+dLgMZs82t2K/DVdnf/8YWAH8U1m9mbR5b20MgKTXY78f66cpnuk2Do4gqrzvrCZ+AxxV2F5UKKuavrAKqMV+I6g2UkqxHeAG3AtcV3hfBzwDfKTStk1j60IgAS/J3ncAY8AnNlZ3AAANtUlEQVSfFuqclNU5r8K2loAngJcDPwWurUabgU8Cv9hDuYBngQ8V9nUAI8AbK9S23we+WrbvVuAb1WZz9r1euj/tiYm8BJxVqPMqYBfQM9M276bO2Vm9Yypt8+7sBY4G1mEDhNXAFYWyirZxbLW/1VLfWcE2ugp4cDdlVdUXVtNWi/1GbNWxhYfoAJHUBJwJ3On7Ukq7svfnV8quPdCR/d2a/T0T8xoV7X8cWEPl7b8e+EFK6c6y/dVm8+uAlZK+IwtL/LWkdxTKj8NWVC7aux0bDFSqje8GLpF0IoCk07Cnjrdn5dVos7Mvtp0P9KWUVhY+dyfWsZ07Q3bujQ6s8+3L3leVzZLqgJuAz6SUfjNNlaqyN6gtarDvrCTLszCwVVk41zHZ/mrrC6uZI6XfCA4zDZU2oIZZANQDG8r2b8Ce1FQN2QDnWuCulNIj2e7FwFhKqa+s+oasrCJIeiMWQnH2NMXVZvPzsPCzzwL/G7P585LGUko3Fmya7h6pVBt/EmgHHpe0E7uHP5pSujkrr0abnX2xbTGwsViYUpqQtJXK208WovEp4B9SSv3Z7mqz+UpgAvj8bsqrzd6gtqiZvrPC3AtcBvwWC5f7H8AvJL2A6usLq5ma7zeCmSEE0ezgeuAFTI0/rjokLQU+B7wipTRSaXv2gTpgZUrpr7P3v846q8uBGytn1h75c+DNwJuw+PTTgWslrc9EXHCYkNQIfBsL4Xhnhc2ZFklnAu8DzkjJ4kaCIJh5Ukq3F94+JOle4GnsN3y4MlYFwZFLhMwdOJuBnUB5VpdFQO/MmzM9kq7DJgi+NKW0rlDUCzRJ6iz7SCXtPxPoBh6QNCFpApss+t7s9Qaqy+ZngUfL9j0GeFiD21RN98hngE+mlG5JKT2cUroJm5z7V1l5Ndrs7Ittvdg9NImkBqCLCtpfEEPHYoK/v1BcTTa/OLNlTeF/8FjgGkmrszrVZG9Qe9RE31ltZN6gJ4ATqM7+u1qp2X4jmFlCEB0gKaUx4H7gEt+XhaZdAtxTKbsKtigTQ68HXpZSeqqsyv1YdrSi/SuwwXyl7P8x8ELMa+HbSiz7i7+uJpvvwjKGFTkRe4oH8BT2Y1q0tx2LSa5UG7dicdFFdpL/FlSjzc6+2HYP0Jl5OpyXYdd37wzZOYWCGFoOvDyltKWsSjXZfBNwKlP/B9djQvqVWZ1qsjeoMaq976xWshTQx2MP4qqx/65WarLfCCpApbM61PIGvAHLVPJWLEvJF7GUy4uqwLa/wyZtX4TFwPo2p1Dn77HB+0sx78zdwN2Vtr3sOn5KlmWu2mzG5gyNA3+NPbV7E5bO882FOldm98TrMLF3G7AKaKmQzTdg2cP+EFiGCeZNwKeqwWYsw6APxBPw/uz1MftqG5Yg4gHgHOBC7KnqNythMzbx+XvAWuC0sv/FpkrYvLc2nqb+agpZ5irRxrEdWRtV3HdWywb8LdZ/LwMuAH6U/VYvzMqrpi+s9FaL/UZs1bdV3IBa37D1XJ4GRrEnCedW2qbMrrSb7bJCnRZsftFWbCD/XWBxpW0vu46fMlUQVZXNWDjiw1nn/hjwjrJyAR/HnlCNYJlrTqygvW1Ygo2nsTj03wP/s2xwXjGbgYt3c9/esK+2YWEO3wR2ANuB/wuUKmEzNpjZ3f/ixZWweW9tPE391TxXEM1oG8d25G1Uad9ZLRtwC+adHcUeYt0CHF8or6q+sMJtVXP9RmzVtym7EYIgCIIgCIIgCGYdMYcoCIIgCIIgCIJZSwiiIAiCIAiCIAhmLSGIgiAIgiAIgiCYtYQgCoIgCIIgCIJg1hKCKAiCIAiCIAiCWUsIoiAIgiAIgiAIZi0hiIIgCIIgCIIgmLWEIAqCGkXSxZKSpM691Fst6YqZsisIgiA4cqhEHyLpKkkP7qXODZJumymbgiObEERBULvcDRyFraqNpMsk9U1T72zgSzNpWBAEQTA9khZK+ntJaySNSuqVdIekCyttWxXxt8AllTYimD00VNqAIAgOjJTSGNC7D/U2zYA5QRAEwb5xK9AEvBVYBSzCBv/zD9cJJTVlfcZh51CcK6U0AAwcIpOCYK+EhygIDiOSfirpumzbLmmzpKslKSufJ+nrkrZJGpJ0u6Tlhc8fK+mfs/JBSb+R9JqsbDJkTtLFwNeAjmxfknRVVm9KuIOkYyR9T9KApH5J35a0qFB+laQHJf1F9tntkm6R1DYzrRYEQXBkkoU4vxi4MqX0rymlp1NK96WUPpFS+qdiPUlflLRB0oikRyS9tlD+J1l/MJr9Tn+w7DyrJf1N1r/0k0UJSHqRpF9IGpa0VtLnJc0tfK4763OGJT0l6c37cE03SLpN0kclrQd+m+1fmvUvfZK2Zv3OssLnLpZ0X9a39Um6S9KxWdmUkDlJ9ZI+m9XbIunTgKa55ivK9j3ofWGhXb8iaVPW//1E0ml7u8bgyCcEURAcft4KTADnAO8DPgC8PSu7ATgLeB1wPvYD/y+SGrPy64Fm4CXAC4Ermf6p2d3AFUA/FkZ3FBZyMAVJdcD3gC7gIuAVwPOAb5VVPR64FHhttl0EfGR/LjoIgiB4Du75uFRS83QVst/p24ELgbcAp2C/vzuz8jOBbwO3YP3CVcDVki4rO9SHgH8D/l1WfjzwQ8xDdSrwBuBFwHWFz9wALAVeCvwp8F+A7n24rkuAFVif8tqsD7sD2IEJwAuz6/6hpCZJDcBtwM8yW87HRFvazfE/CFwG/GVmcxfw+n2wq5zvZNfzauBM4AHgx5K6DuBYwRFEhMwFweFnLfD+lFICfivphcD7Jf0UE0IXppTuBsiexq3FxMh3gGOAW1NKD2fHWjXdCVJKY5K228u0pzC6S7AO9LiU0trsnP8R+I2ks1NKv8rq1QGXpZR2ZHVuyj770QNqgSAIgoCU0kQmXL4MXC7pAUwU3JJSeiir9nLsAdrJKaUnsn3F3/4PAD9OKV2dvX9C0inAf8UEjfOTlNI1/kbSV4CbU0rXZrt+J+m9wM8kvRPrb14NnON9gaT/BDy2D5c2CLzdQ+UkvQXrR96e9X1IehvQB1wMrAQ6gO+nlH6fHWNP57kC+ERK6bvZsS4HXrkPdk0i6UVYu3anlEaz3R+SdCkm/mKu7SwmPERBcPj5pXcIGfcAy7GnfhPAvV6QUtqChRucnO36PPDfslCCj0k69SBtORlY62IoO+ejWCd1cqHeahdDGc+yb08JgyAIgj2QUroV6MEeiP0QEwgPFDw8pwPrCmKonJOBu8r23QUsl1Rf2LeyrM5pwGVZuPSApAHMi1MHHJcddwK4v2Dr41j/sDceLps3dBpwArCjcK6tQAtwfEppKybe7shC9N4n6ajpDiypA4t6KPaVE9Nc3944DSgBW8ra4DgsKiKYxYQgCoIqJqX0FSyk7SbMs7NS0ntm4NTj5aYQvxdBEASHhJTSSErpRymlq1NKF2Di4GNZ8fAhOs1g2fsS8EVMcPl2GvaA7vccHNOd6/6yc50OnAh8EyCl9DYsVO5uLHzvCUnnHYQNuyibVwQ0Fl6XsId75TatAD5zEOcNjgBigBMEh59zy96fB/wOeBQLW50slzQf+3F+1PellNamlL6QUvpj4BrgHbs5zxhQv5sy5zFgqaSlhXOeAnQWzxkEQRDMKI8CntzgIWCJpBN3U/cxbE5OkQuBJ1JKO/dwjgeAU1JKT06zjQGPY33Smf4BSSuw/mF/eQATWhunOdd2r5RS+nWWUOIC4BHgTeUHyuo/y9S+coqdGZswT5LXace8P0WbFgMT09i0+QCuMTiCCEEUBIefY7LsOCsk/QfgPcDnUkq/wxIcfDnL/HMa8A3gmWw/kq6V9EpJx0k6A5vours469VASdIlkhZIap2mzp3Aw8DNks6QdA7wdeBnKaX9DT8IgiAI9gNJ87PMZm+RdGr22/5nwIfJfvdTSj8Dfg7cKukVWZ1XS3pVdphrgEtkWeROlPRW4N1Mk0injE8BF8iynp4uabmkP5J0XXbe32IhfF+UdG6WvOErHJjH6mZgM/A9SS/OruFiWVa7Jdn7T0g6X5ZN9Q8wAbW7/u1zwEckXSrpJODveK5Q+wnwF9n5XgjcSJaIIuNOLGT9Nkl/IGmZpAsk/S9JZx3ANQZHECGIguDw83VgDnAfljXuc+STN9+GhRV8H/uhFvCalJKHrNVnn3kM66iewLL+PIcsMcMXsIxxm7AOtrxOAv4I2IZ1uHdik3XfcJDXGARBEOydAWwuzPux3+BHgKuxJAvvLtT7E+BXwD9g3qNPk0UApJQeAP4ceGP2+Y8D/z2ldMOeTpwlbbgIC1v7BfDr7LPrC9Xelr3/GfBdrK/auL8XmVIawrKjrsmO8xjwVWwOUT8wBJyEZbx7IjvP9VhI33Rcg4WO34j1lTuAfyyr84nM7u8DP8Cy2E2GAmb932uwdv9adt5bgGOBDft7jcGRhabO9Q6C4FCSZZJ7MKV0xd7qBkEQBEEQBDNPeIiCIAiCIAiCIJi1hCAKgiAIgiAIgmDWEiFzQRAEQRAEQRDMWsJDFARBEARBEATBrCUEURAEQRAEQRAEs5YQREEQBEEQBEEQzFpCEAVBEARBEARBMGsJQRQEQRAEQRAEwawlBFEQBEEQBEEQBLOWEERBEARBEARBEMxaQhAFQRAEQRAEQTBrCUEUBEEQBEEQBMGs5f8DrUa5xfhTj4oAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1000x300 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "6xbvRNrwnJqj",
        "cellView": "form",
        "outputId": "9da11433-46cc-4c9c-e84f-e2c74005d847",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 638
        }
      },
      "source": [
        "#@title Make plots\n",
        "\n",
        "# gather MSA info\n",
        "deduped_full_msa = list(dict.fromkeys(msa))\n",
        "msa_arr = np.array([list(seq) for seq in deduped_full_msa])\n",
        "seqid = (np.array(list(query_sequence)) == msa_arr).mean(-1)\n",
        "seqid_sort = seqid.argsort() #[::-1]\n",
        "non_gaps = (msa_arr != \"-\").astype(float)\n",
        "non_gaps[non_gaps == 0] = np.nan\n",
        "\n",
        "##################################################################\n",
        "plt.figure(figsize=(14,4),dpi=100)\n",
        "##################################################################\n",
        "plt.subplot(1,2,1); plt.title(\"Sequence coverage\")\n",
        "plt.imshow(non_gaps[seqid_sort]*seqid[seqid_sort,None],\n",
        "           interpolation='nearest', aspect='auto',\n",
        "           cmap=\"rainbow_r\", vmin=0, vmax=1, origin='lower')\n",
        "plt.plot((msa_arr != \"-\").sum(0), color='black')\n",
        "plt.xlim(-0.5,msa_arr.shape[1]-0.5)\n",
        "plt.ylim(-0.5,msa_arr.shape[0]-0.5)\n",
        "plt.colorbar(label=\"Sequence identity to query\",)\n",
        "plt.xlabel(\"Positions\")\n",
        "plt.ylabel(\"Sequences\")\n",
        "\n",
        "##################################################################\n",
        "plt.subplot(1,2,2); plt.title(\"Predicted lDDT per position\")\n",
        "for model_name,value in outs.items():\n",
        "  plt.plot(value[\"plddt\"],label=model_name)\n",
        "if homooligomer > 0:\n",
        "  for n in range(homooligomer+1):\n",
        "    x = n*(len(query_sequence)-1)\n",
        "    plt.plot([x,x],[0,100],color=\"black\")\n",
        "plt.legend()\n",
        "plt.ylim(0,100)\n",
        "plt.ylabel(\"Predicted lDDT\")\n",
        "plt.xlabel(\"Positions\")\n",
        "plt.savefig(jobname+\"_coverage_lDDT.png\")\n",
        "##################################################################\n",
        "plt.show()\n",
        "\n",
        "print(\"Predicted Alignment Error\")\n",
        "##################################################################\n",
        "plt.figure(figsize=(3*num_models,2), dpi=100)\n",
        "for n,(model_name,value) in enumerate(outs.items()):\n",
        "  plt.subplot(1,num_models,n+1)\n",
        "  plt.title(model_name)\n",
        "  plt.imshow(value[\"pae\"],label=model_name,cmap=\"bwr\",vmin=0,vmax=30)\n",
        "  plt.colorbar()\n",
        "plt.savefig(jobname+\"_PAE.png\")\n",
        "plt.show()\n",
        "##################################################################"
      ],
      "execution_count": 6,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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Ete1njaa+0JFImpOZd4EAMZaQ34qRMG8wxo/yHowpbSilEkTkKeAVoI2I/IARXdIWI4fSJ8BrZu6jpzCW0FwoIlNNmXF4vLUw29wkIn8Dr4hIBJCJsZS8zUvOLSK3YtzENonIJOAAhrPkTAxHz4U1OWml1E4ReQnDgPhTRL7HWHFiAMYqYk8opXJF5E6M5Vz/EZEpGA6yVhjJA5dgLFFbGa9iGAHTRWQihgEQgbEixB0YUVmfYExR+1xE+mH0+RXAEOABrySLYDiN7sWYYrhBKeW99OlXGNPcPhKRM00drRhvZq7CWA2lqpD5XzCmw/0qIt9i5Cu4GyN0u1eZkFJqtZmn6QHTifg3RiLDTmUiHm0+jnGtlovIpxi5qCIwEmqfbf6t0Wg0Go2mmiil/hCRjzGmCfUG5mE4YjpipCO4H5hh5hV6DXgC+FlEZmMkzB6FsWjH0Y7hNm2hWcBa0wY7iGFXdMewK8CwcQDeEZG5gEspNaUhdKwGo0SkC4Z9GYMRyX0ORrTKRUqp4grqXCEi+Rh2cbx5nkMwbLcrj1GfisgE/jL7NwbDebYTI2l1vdjCFWAHFojINIxoo7uAvzBSHJTlp3oF+A+GjfiTh9xKjLQFYPTveyIyHSPXlw3j5WfZS8XKWGvK/EtEQjHs8oVKqYpyVtXUftZo6p7GXh5Ob3prrA1jha0JGIno8jB+sHdgzF2OrkD+MowVDfLNbQvGsq6dvOTuxHAaFWPcWIbitTynKdcO+M2US8aYnnU2FSzxiZHk+TsMY6IY44YxFTjLQ+ZZKlialcPLl7bxKh+H8ZatGOMGvgg420tmOMaSqtkY88t3YjjX+lWjfyMwHHWJZt/ux1ipLtJDJhqYiOGgcmCELo+tpD3BSA6ogCcrkfHBWGVvo8d5rQKeAUI85BTwXiVt3Ixx4y82r/HYsr71kgswr3+GOX5mYjiRFPAvL9loU3YfxpusgxhvtW5r7P8DvelNb3rTm94aeqMaS9Cbcp8D+UfZf5t5ny/EcCasB/4LxHnIWEw7IMmU+x3DCbSH8susD6/EBhuC4QDKxbD/1gH3eOy3YtiOqRgRJ6q+dDxKPyjg2Qr6t2xzmLbHPOA+zGXgvdp41qtOEYbtNgvDZvStQoeNeNm6VciX9fc1wMsYidULgZ+BVhXI19oWrsY4HIbxEjgTw6b7GoioQP5uDNuwBMN2/wAI89jfFuPZYqfZfxkYKS5GeLVzxHXFiPRKwMg7emgcUvEzRJX2M0ZScAU8UtV40ZvearqJUrVNHaLRaKqLiCwCUEoNb1xNNPWJ+aZxDXC9UqpaIeIajUaj0Wg0JxsiMhzDWXalUmpGI+kwFuPl6ABVdYJ3jUZjonMiaTQaTS0QEf8Kih/AeAu5uIHV0Wg0Go1Go9FoNJp6R+dE0mg0mtrxmDkX/XeM0ONR5vaJUmp/o2qm0Wg0Go1Go9FoNPWAdiJpNBpN7ViKkZzyaSAII9/Rsxi5rTQajUaj0Wg0Go3mhENPZ9NoGgCl1HCdD+nEQin1m1LqdKVUhFLKrpTqoJR6TilV2ti6aTR1gYgME5FZIpIkIkpELqlGneEi8o+IOERkp5lvQtMIVHX9xOB5ETkoIkUiMl9EOnrJRIjINyKSKyLZIjKhoiW2NRqNpqYopRYppaSx8iGZOnxu6qDzIWk0NUA7kTQajUaj0VREIMYqRHdXR1hE2gK/YEzx7A28BXwmIiOPWlFTX1R1/R7DWKXpDmAgUADMFRE/D5lvMFaIOge4AGMFo0/qS2GNRqPRaDRNH706m0aj0Wg0mqMiIgq4VCn1w1Fk/gucr5Tq4VE2BWP54/MaQE1NJXhfPxERjKXEX1dKvWaWhWIssT1WKTVFRLoCm/FYtUhEzgNmAy2UUkmNcCoajUaj0WgaGZ0TqRqYxlZzIK+xddFoNBpNkyYYSFL1+IbGjBSx12GTDqWUow7aOQ2Y71U2FyMiSdO0aAvE4nG9lFI5IrIc4zpOMT+zvaZ5zMdYgXIgMNO7URHxBXy9iiOAzDrVXqPRaDQaTX1QLTtWO5GqR3MgsbGV0Gg0Gs1xQQvgQH00LCJ+QcQW5ZNc2ybyMRLBe/IcRlL4YyUWI5LFkxQgRET8lVJFdXAMTd0Qa35WdL1iPWRSPXcqpUpFJNNDxpsngP/UlZIajUaj0WganCrtWO1Eqh55ABft/Amf4MDG1qVemejX/4iym4t1rjlN06eisQt6/GqOncrGlje5ubm0bNkS6jdq1Z5PMg9Y9uNLSI0qOsjlLXfLIAzjIK/cLo2mbngFeMPjezCQuH//fkJCajZej0ZBQQHNmzcHICkpicDAE9s202g0Go0G6vf+VxM7VjuRasBXzc4oZwTdVLK0QY//hX3wUffXhT73svGIskA/vwokNZqmRYi94gcUPX41x0plY6sx8SUEX6mhXocDk/OUUrl1rBJAMhDjVRYD5OoopCZHWShbDHDQozwGWOshE+1ZSURsGNPTKgyFM6dFOjzkAQgJCalTJ5LVaj30d0hIiHYiaTQajeakoKnc/7QTqRbc4vwLAJscLpvgc/oR++vruJ54HrcqJ1N96VUZnrrVhKr0rEm7DX3Omsajsmvt+X+q0dQGz7FV29+1usZtBXcNx7ZbYWSzqT+WAaO9ys4xyzVNi90YjqARmE4jEQnByHX0oSmzDAgTkX5KqdVm2VkYK/sub1h1NRpNneMshqR/IKY7+IVWLrf5J9j8A+QmQe4BsPjAkPugzw1gsVZeT3N03G44uAZ2zAeLBVoMgOZ9wVkEO+ahts2B4iyk9RBod6ax3+aVDlEpKMyAgjTjszgHWp0GARGNc06akwbtRKoB95cuwV4aWOFD6fjSxYf+bqoPrTap36cHbzz7pCZU1X81abepXguNRnN8crTfn5LSggbTo9ZOJGf15UUkCOjgUdRWRHoDmUqpfSLyChCvlLrR3P8RcI+I/A+YiOFwuAo4v2aaauqCaly/t4CnRGQHhlPpBYwV234AUEptEZFfgU9F5A7AB3gPmKJXZtNojlNcTtg0E7bMgp0LwFkAYa3g2qkQ0+1I+dWfU/jj42yxxJFmLyLZXkyAOLn45/vxXf4xnPsCtB8Bog3uI9j3t9HPfqEQ2hKCYw1HT/Y+yEwgL2EBS0uzWRbgj1UpeqwooaejhCyrhXmBAcwPCKDQIlyxcTM3LXmDaKwQHAchzY02cxIhc7dxDT2J7g63LQAf/8Y572qyM2Eey9ZP4pTWZ9Orz83VGkNluZ5Fj7dGR+pxAZkTBvPtXE5OTk65cOzaOkmaGh/bhtX7MU6UvtJoNCcf1f2NzM3NJTQ0FCC0nqaLHbofPRCUU+PpbA6Vy1v51ddPRIYDv1ew6wul1FgR+Rxoo5Qa7lXnTaAbxoIULyilPq+Ropo6oRrXTzCSqt8OhAF/AXcppbZ7tBGB4Ti6ECOO7TvgPqVUfjV1qNB+OlYKCgoICjLyw+fn5+vpbBpNdchPhWk3wb6lKGBWYBBz1FAGsJGbS7PhionQ6dzD8htmkDH9Yb7IehVfZ9Sh4jx7JoktZvCMYx7RLhdEtIdeV0GPKyCi7ckRnaQUKPcR55pdnM3MlW+yZ9c89halk2Kz4qcUwW43gW6FApwiFFiE/TSjWV47ovPb4LQ4SAzbRmrQHnxcfnTI6EuvA6fiW+rL8taLSIj+mzOKCigUIcVmJcNqRWGEhVqVIkwJUWKjWYmD67Iy6N5zDFz4dt2db/Z+w4FlrUb8SXEO7PkLd/Z+igLCKPKPoMg/hEKrjSKxsCd1Dd+tn8COQgvdk4eyJ2I9bQIPcmv3sQzqfw9isZhdrNietZ0FO2exNXsHB4rTScpPIsw3jKcGPcWQ+CE1OoXifVuY/fn3REXaOf3We7D4VuJky9yFSt6EdL2gSTpH6/P+VxM7VjuRqkGZEXRr5s/YQ5qWofK+dXiVMne7FtW7HhpNfVDV+NZjW9MUKBunDelEui+0dk6kd3LqVz+NxhPtRNJoKqCkEHL2G9Ep9oCq5cuih1r0h4h21TtG0hoj0qhZF2g5ELL2wLQbIO8gWwLD+L+4TkRvuoA2WT3Js2fRI+7fXFCSCj2vgsj2YLFRuuD/eDfnBexFHbG4nbjFCmI5dIg9zVZyddBn9C9KLX9s31AICIdeV8PQh8HmW/2+OR5wlVL0+SiceQcJGTcXQuMBcLgcXDvlLHaUVn57DS2KplNafzpk9CW0uNkR+50WBxZlxarKO2uy/ZL5u/Us9oRvAjn87G5z2Wme24Ein3yy/VNwWh0Eu9xMTzpI/MWfQM8rjv1810+D72+D2J5w7RQIbXGk3qUOJs9/kBUHV5DizCPFZiXLWrkzMbKgORdtHI+vOwxFKX+1ncmmmL8IVIoWYifeN5ztzhwSlQNRhiNHSXmfxc09buaePvfgY/Gp8hQ2zJ/Mb7MEX4eR5q8oIJG+l0Ry5tDR5aKaCgrT+fc3w9kqLj7udT9tTr2jWl3UkGgn0nFEQzuRPB+cm9pDclPWTaPRaOqD6jjroWGdSPeE5+BrqaETyZ3Le1naiaRpOLQTSaPxwlkEE0fCwXXG9+DmENUBYntBXG9o3sdw4pQ92BbnwPSxkLAQAqPhzqUQdKTzoRyrJsLsR8FderhMLCjlZkLzdnxktTNy6y00zzs82zUleBfXhj5J19JiwAi0mVR0P0W5w7GVFtJz7RvYi7PwESv7W4xgb6tzQCwU+uQg4dm0Jof4ggQEBxk2IdvHyWDbH7SLioCL3oVWg+qwExuX0uUfc/U/b5BusfKGLZp+Y+eD1cZ/59zGhlXFDDhwFv74YLP7Y7X5gNuNcpfidAolKvxwQ8pNUH4iYTm7cPoEkhneBac9GICg/ETiDi7DLRb2tR6J08f4vbOEuojt70vLbhGkrC0mcWUepcWHn+WL/fNY2vxHfEP+4ouMQnzG/2GMp9pSlI16tx9rXHm0czoJ84+Ca76FlgMOiWw+8DfPzL+HbThAQbAjgmYFLfEtDSDHL40s/2TEmou/UgQoN62yO9Nz53jAD2tpES6bERGUELmCtc0XY3PZsbv8iCyMJz6nHXH5bbEoC/72PTTzSWBz+A6+jk8AgV5RPfn03M8I8KnYGetylfLxRy/i3DgIm7JTYM/G5rLj6wpA4Sap1RouHTucAc0HkFGUwd0/XM72onwCSkLpZ03l7Zv/AWvVTqqGRDuRjiPqywgCuN+9sFb13racdUz1NZoTjbL/CW/0/4jmWKlsbHnTkE6ku6Nq50R6P107kTQNh3YiaTRe/HgPGeu+YUFgACUilAhYFfRwlNCjxIGvwnAknTreSKQ89XoyM7bxdkQYA4uKGR1/Blw7ueJpNi4nzPkXrJrAYn8/NkS357RiJ31StuMQ4T/tevJ7sYvzt9xBVGELrDjpuHUq2ztcjtvmz964f/j3kAL8s7JYuD2cXfuHgnJzyoYPmTb4XNqOPJMukX7s/2QCXdeuYXvn6yn2jzpSjzJ1yKJFq+e5tGQvcs5zMOT++uvXhqIoi4UfDiD/lziCiwN45+L9PNX9LIrbDefZeR9x6aZHUBZ7pdVFuYjI3EJsygoiMzaxMaIl6wacgy05ifM2LcRuC0aUm1w/C+1feYEIq5ud9z9GUvTp7I8/A7ftyBWHra4ClN0Pt8uI/HGLi+97vMEo12YeI9Jw+kR3MYSLc+GP/0LaNiNCre0wiO9buaNk9mN8vvVbXo+IIBR4OD2dS4pKkX5jSQxuxuS8bXyT+jfi9mXk9ktokdsXcR85Tczma0WJotTtBocbEQthWdtplfoLhdbWJLS/GCXVnwYZFLCCSZ2/I8OvmKf7PcpVPW6sUO6zD97Asb43AJlB2/DdvhK33YK1dQcCCk4FYHP0EnyGZ7Azayt5KYoLtozHzxnC7K4f8XKfPvQZ9mS19WoItBPpOKLMCBqf9RO+TWw6W3UfbkA/TGtOPKoz/vW419Q3ZeNQO5E0mvJoJ5JG48Gar8medS+XN48lw+KPy1p+pQMfBT0dJdyTlcWAYgcABSLcHB/PZh9jGtmrqemcd+bL0H9c+baVgqnXc3DHHF6JDOf3wMORGa2C4vG32Ek76GD01tsJKgnH167otfT/CM5PJCOiG+t63gliIcsvhbDiZgjG8dZcHoYAACAASURBVDrs/I5E/wIunfIJEYGGc8TtVnw6YTatPnuTQFsEJfYQSuzBOOyBCDbcYiU7rCNFAdEodzqJnf/HE8WJhD64+fhfNWzuk/xv3i+EZr9IqU8A0Ukz+eC8BWD34cplD6N8WhCUs4P8wl1Y3G4sSuG02Cix2nHbffD3KyEg1Jfg8GCihwykz7B+BPv54HS5WbLpANu/no7dClc8eSdBQYYzxrFzJ9tvvg1JzyQluh8Hmg8lL6Q1EZmbaZG4iMjMzQiKVTE92dlrLNFOPzL9D/Jdr9f4v/RkzisRuOgdCIiEH++B3MTy5+QfARe/D128FldN3si+CcO5M2gwI7bfTlLITv5oP4UepRnYUPztb+gX5Ajn2nW3YHW1BEDcpVCagzvAB5fbD6vbB6G80zMmeQXd2mTR9bWX2PTldLI+nUZC+8sotQVgdTkQdwmBRamEZScQlrMTcZeSF9yanNC2JMUNQVlsiGQxq/NXdG1t4Y1Lvz/iUm1dsZnfJh7AgpX8mNVE/rGcIcmbAHCKlf1dT2V39HUIFjbE/sHuiPWM2norPqYTLMd+gM09/8dXN61A7E0nSbl2Ih1H1GckUlPjQfeCxlZBo6k2b1pGVCmjx7Smvikbhw3pRLozpnZOpA9TtBNJ03BoJ5LmZOJA/gEeX/w4ATZ/RkT346yAVkTZ/ME3BIpzUJOv4aHwYGyJ99EmqwduWymuAAclAQVsD17NxuBlFPjmYEW4r8DFmLRE7m7ZluVWF1ax4lIufJTi07Qc+o373ZgGV8aO+fz04428GBlOkcWCTWwMjh/MquRVFJYW0iqrG+fsGIuPy5fQCB86zn+ekNxElrbszcDE9SS2OIuE9pceas6lUui4exmhqUuJ/u5HOrSPP+J8f165h+Vfz6TN1tX0StpEkLOYAh87K6O7kRkYTVzYaRQFRGNxprK22+t8dNpNyOB7GuJS1A/pO9nzyWAWrbuFgvBzDhUHZM0lJcKXYDUcn5I8+l8WSfuzBjJ3czKr92TRMSaIQe0i6RoXgtVSu0TNrrw88hYuJOHvtaSs3YgtPY280Egc8a0I8vOh7V9zsLlKKbCHsmTQs9gsdtY2X8DfrX/itKIi7szKoVtJCdvsdjaGxZHcvAeOvGQceUkElxQxJjeP2NMfgTMeB4sFlEJNOo/bHLtpueMpogqNPEiF9lzmd/iSpNAd+Jb6MzynIx12XINLBeJTkkeXbV8RmbkNizo8ldJl8cHhG4ZbbCixYHU7aT7mImIffuhQPqLkP5aw//F/E5R1OL+Wy2rFOmAQcReORnxs5C1YSP6ff5JjiWRTt3EUBcSAcrOs/et88cjPWD2SnGclF/DNC38gLj+SIlcQtHYnlyQsQfn4ENCtG0XrjOmkSXGD2Nr5BgAUbgQLoTkJFATEUeoTwML2X3NX70hGnPNqra5bfaCdSMcRdWEEVedBtuxB5GR56K3MAXCynL/m2PEcQ3rcaOqL6jgroWGdSOOb186J9HGSdiJpGg7tRNKcLKQUpDDup+sJ39MFu8uPLP8UcvxS6MYeHs1Kp01pKTODAplVdAP9DoystB1Hs2x+jv2MtKD9RNvDSC3JpnVBVy5LupsDUVuYFv4+IS4XXznDaDduvpGY2+0i+6PTOds/F4fFQt/ovjw96Gk6hHcgJy+Pn2YsIWeFD6KE+E6htPr9f/jvWM/GyLbETZjIwfc+oPv86eyNG8T27v1pvfZXOqfvBKDg8efoP/aqKs+/sKCYpE3byYmIIbMEFm9PY9/M3xgqLXD4RWJ17KbdgPc5987VTXLFq2ox+Vo+2LAZSfsvbqudNHc2zSxh5URaRu7hopdubnDVSvbuJemFlyj660+So05hc4/bUSh+7vE+B4J3AMYqbi4s9E46i8jC5iQH7+ZgcAKZAcn4KRdjc/IYF9qNAL9wSN/OD46DfMm5jNh5I1ZfITjcn+zkQhQK/F1I0eHk30F5+2hWspxzJ/6PvHUb2P7TXFw7tuNflI+9IA+b20Vg/34EDh5M4JDB2FscmZwbQJWU4MrJwZWTgy06GqvXfcPtcFCwdCnbvvuVLRntyA3tSJblVy59/ia6R3UHwFHoZMoLf5CfZSE5aDf+ab9y6fKNAMS/8Toho0dTtGEjaW+9RcGSJSQ2H8r2TtcA0CxtDV23fsmB5sNIaH8phbYs/jrlBWZcvwgf//LXurHQTqTjiOoYQfX1AHuyOFq0M0Cj0TRVmqIT6faWOdhr6EQqcefyyX7tRNI0HNqJpDkZSC9M59bvrqXbhiuIz+1Ybl+ePYsl7SYz1Gcdy0r6cva28QCcdWMX4tqHUZDtIG1/Hgn/pJK8y/xZtinmdZzIrrD1tMzrwoXb7sRtznzbMuAX/rDNo7XTycyQU/G58gtY+w2fLXqCtyPC6BLWgakXfQdK2LrsIH//uIui3BIAug6OpfXKTyn57VdyfQJY8PBr/HvsmTiLHfw58mLiUvYe0ttp80FdcS29/vN4udWrasJP65L4+uNfOaskFpfNj/1hE3nxtpuxta9+Ko4mQ0YChe/144td9+H2Hw7FSZz58oX8+cF8StNCQSyEFm1hzOd31bq/jhWlFLvvuBvHH7+zvOftFESegj3AQvrADUxzTEC5hJG7x9EqtUe5eiV+BfzS4RNSgvcQ4XLR3VFCfGkpv/qHMHrD04Q4Ilns5+RAMxs3+YdSsv2w+WB3ZBOVsRG3fzKXfPU2VnvDJaGeesebpHMKqjQBv7ud3NrnLgCW/7iTVXP2kWfPJNPvHW78KR0riqgHHqDZHeMP1VdOJ0lPPknuT7NIi+qFwx5KfNJfxD79JHtnzmF10CU4/CL4u9WPFMf9wQOnPcXgzpc32vUtQzuRjiPKjKB7s2c2uZxIr8o5VQuZPKp+a9Dj1fWxq6tDXR5Lc/yjx4umLjnaeGpIJ9ItbbJr5USasCesXvXTaDzRTiTNiU5OQRrjp1xDl8030qygJTZrCR1OiSAnx0LagXxKi90AbGu2nNaZPfBzBdKykw2fhF8pSMvAmZ1Nkc2XuAfuY+iAHvz+1Vb2bc4EgexOuwhPaIcqhSJR+CvBP8yHyd2fIdmdzuMZmYzpeSul66dxXhik2Gw8N+AFOqT0Y8mcPbhzDc9TUJQfgy9pR/L7zxO17HecYuWDc+7k9VfHE+hrRJOkb9zK/htuwO3jQ+DV19Lh5uuxhYdXet7VZVtyHgvu/xAV3h9xZRBzxldcfv1Px9xug7PkbabPm0DawddQFhvp0Zn85/krAJj7xvdkbU/l/OevIji6cXM+laans23UBbgLHSwY9BQ+PsY17HBaFJkHC8jcU4TFKnQfGk92SgEHd+VS6nAhPoql3b9hnf/KQ231PHgGQ/ZcRr64WVO0loSQWNICwunq70fs/p3c+/en+JcWsKbvCC6d9Cb+vg27itn896axbWMUKBfrzp3IJ5dPBuCLJ34hP8uflc2/4u4ZawgqcRBw8SW0+r+Xj3AAKbeblBdfIuvbbwEIHzOG2KefIu/3Rax8dhJbut5EiaWQ3zp9wcGQBPqGteD6/g9yevzp+DTSqm3aiXQcUVMjSD+UajQazYlJU3EijWufjd1aQyeSK5dJCdqJpGk4tBNJcyLjcru4/8vLab72WkKLm2H3LWHo5a1o0TWWoGYROB0ulv2QwIbfDycyDmvpR8uZj9MsP61cWyn+4ex95nXGXHgqf3y7na1LDx7al+vn5MxFz/FP30dR9lB8Tynk7YAnCHe5mL0/iSX+fjwS04y+mWcyZO/lOItdpoIOcgu2s8Xu4Iy0zQxOWE6pWJhw9m3c+vg4esSHltPBXVKC2GyIxVKn/TT5m4UUzM/C4RvOrsiZvPzoo/iGtTosUJgJi1+FnES48O0mmXxbTTiHD/4eBtYh+OYn0PP5yxjYLrKx1aqQ3DlzOPDgQzgtdj4f9gztOewMtPvbCBoRyza3E1+bBV8RgldlU3KgEKtNaH2ZDzlhySSnZmCZ0warwwe/pAUM3v49bquVpa36sjiqMw+smU5AqYOSoWfR86N3sFirv7JaXZGyZQc//98aiv2jmNf5I6bc+wXOHPjqyWW4cdNpy1O0SsnB1r0H7Sd/g8Ve8ap5Simyp06lND2DqDvGIzYbyu1mw8jzWRNzLflBxtS7UnFyMGQnf7eeRWloNiPbjaZvVE/aZyfTJnEdfl3Oh64X1vt5NxUnku1oOzXleVbNx1dVfaGaQqe+IpXPt/bmCTW3HjXRaDSaE4eKfi9r8nur0Wg0muOL9KJ0Zmyfwfq09dzY/UYGxQ0C4P0FzxGz7kpCi5vhF1RCj16K0vFXkiAWsgYMpddd4xh6VX/a92nG719vxeV0ExufTbP8NAp8/Ei74GqaxUXhmjaZmPQkSl98jNcKXuGRMYMJCvdl1ew9BHcIIWPRREKLs+i15UvWnXIvxesC6D3wNNZalzExLIRVfr74lPoyYOdFOF0uXM48uu7+hdiUFdhcDi4xz8MlFnbf+QSv3n0dPtYjHUWVPWQfK1dcM5yp3z2FI/ps2qaP5PXZj9GjzyUUlVhIS1jCrpSF7MZJaImbR2fdSferp9aLHrUmP5WlB5LAYlz3xLBibmnb9BxdZYSMGkX2r3MpmDuXi5a/xocD72ZoQEv8fW38FuEk4NspdMreT76PP8n2AA4GNqN38/6EZrrYNa0EiMAH4/x8itMZtOMHsNmwlJZy+u6VnL7biFYKOG0Qnd9/s1EcSADRndsTljudZP8o2qV0YE3KGlKXFwIWrM7dtErJQcLDafPeO0cd2yJC+DXXlC+zWGg5/hZcL7zBlvYXcyC6DwHKh5Y5XYnd1IZfunzCtNLpTNs+HZQiNksxevc8HozpDhHt6vnMmwY6EqkalL1JezD7uyYzna3soUU7gDQajaZ+qa6TqCEjkW7qVLtIpC+260gkTcOhI5E0xzMH8g/wzj/vMG/vPErdh1eburrz1fQK7cHfk1KIz+2I1Z7P5bd0Y98NVxNQUliujbzepzLg20kggnIrZlx5Kz03L2PX4JGcP/EtAEqSkth05bX4ZaSyNziG38Y/x/+NG4qr2MWlny7jX1/8i5iibAA2d76e5LjTKA4s4fOej+EjghM3XVMHcUbCtVgcmZyx7BkERdiVV6JcLnLWb6Q0LZVmTzxJ7CUXNFwHerBs+ly2/5hCflALsv2SsChfQhyHI3ksLgeBBQdY3uoLLjz/HM4b+kyj6Fkhq7/gzS83YneMIjhnO5GPns/5fVs2tlZHpTQriz3XXItz716KrT681vdaEoOiuXfdDLpn7jlCfmV0F/aedjcRuYZzUVFKQF4KXXZMI9SWTbtPPgK3m4xPPyPvt9/w69GDVpMmYjV/hxuL2Zfcz+7Yiym07EWNS6PohzCiMjrQbtcPtN6/gNaTJhI4aGCt2naXlLD9rBGo9HQUUBgQw5bO15Eb2gFRJVj9PsSWuZX2OyzEZMOmVjDguja0vml2vSaP15FIxyHPytmESO2MoLpw9lT0IONZVpcOpcoemo63Y2jqBuV2U5CaTWB0WJ2HOR8L1Xm41+NJcyLithpbjerUjyoajUZzQvLWx5OI2NefvlGCq0c6zaOimbVrFtO3TCd9py8dc/uhLEVcdlt39jx4L0ElheyIbI3rjvtJmz6DgTtXELx2BasmTWPALdewY18KHbetAqD72GsPHcfevDndp3zNtquupXVWCi2mT+ROnwBGdo9Fbd5ATFE2EhBAizffwPHA46Q1641fgT+9C89hbeA8ALqknQlAmwN/Ib6+xP/3FULOOw+A5g3cbxUx6IpzyZw0nvygawgrPqyRKBdKrLitvuSFtKPvwXuZ9utbJNj9uOvURxs9iTHA7o0/4VM0FiyQ79rHmN4VryzWlLCFh9N26hQOPPQwLF3KUyu/pFQs2JQbCQgg7PLLUaVOXFnZ5C5cyIDUrXSc8zhzu5/LwJ3LaJOXDEBB6450+vI7fGKiAWjxztuUZmVhDQpCfBonJ5AnAbF+APi7WjJl3RdcmfkEAFEZGwkdN67WDiQwIvOa//sJUt9+G2dKKoGFKfRZ9x4bu99CRmRPXEX30Cx3Oc6AfeS49tNt315+3bCd8eunwSlX18n5NWW0E6kGvKjm4asCalW3Ljr6aTW73o/xgow+6rFsFcjWBZ7H04Oy8XG7XGRsTSRp5XZ2L1jLrnlrKEzLIX5gZ857707i+nWsupEGwHPcVDYebbgaSh3NCUpVv711+VtYXZTV2GpUp35U0Wg0mhOOnek7ab29NyIB9D1wLrYkB22bJdKp+HFy86KwKh/cuDj/fAe5Ez8kKHE3Wb5BlD7zEpeN7IfzupFMue95+i+YSuGH75N9xUX8+dk0BrucZEbEMnjoqeWOZ2/Zkvbvvc3eMdczYt9qvlm9nflbUhmfuA6A4LNHEHTGGXR47zX2vTyb/S1H0HrTENaeOo9ARxjRuTEAxKSvps23X+PfvXuD99nREBG63jSKwPcmUGIPIajgAEH5B3Dg5s8W/dnQZiD9SyIp9o/i9P33sPjnt/nIN5g7e9/ZuIo78pixN5AASyB+xRlYB3bHaml8x1Z1sIaF0fKTj0l99TUyv/gCm3ITNGIEsU89iU9c3CE5x44d7Lz/IcJ27eTqNTONMr8A/MbcSN97x2Px8yvXbl0kXK8rmg/owe4/kikMiKX3vnOwKR/8itMJLDhI5AXHbpuFjB5NyGijHXdBAY7EA/gv/pvVK/eRZmnFwbjBHIwbDEBkxgZarvyYg7H/Jq7D2RDYNHNm1RX6eV1TjmN9WKqqfn1RmV6Npc/xSFFWHttmLmPz9D/Z/+cmnIWOI2QOLN/GhFMfpPs1w/ALC8JZ5CAkPoo+t59HaMtmjaB11VTlGNVoqqIxnERVoSORNBqNpv74deFMRPphcxbiX5RKXkgbdqS2B8AKWC15nNF5BRGFfTg45xdcYmHmBXfy33P6AuBjtXDpSw+xcekcovPT+erpt4ldswQA/wsuqjDCJqBfPwJOPZXCFSu4ZtcffND9Qs44aDiRQkaNAiBoyBA6xkxlv3IT5wojZN/1tCoKQxDCsnfQbFCvJudAKqPt5RfCutXkHkwjq+2ZJLToRGm7jpzfJY77o4MY//4S+q1NpyggljP23M1Pc96le1R3hrUY1mg6Z2/5GVfaCACiDy6h64tPN5outUFsNmKeeJzAYUMREQIHDz5CxrdjR7rOnMHOl/9Hwbx5BF1yKZ3uvBVrHU5Bri9aDDiF8B9mUhgQS+dUI+ooKn0jrvAIfLt2rdNjWQID8e/cifadO9HuFsXeTRkkJ+SQtj+PxK1ZZET2JCJzGPP3z+OGOY/CZZ9BE5q9UddoJ1INeErOrfV0Nk+Oh4fZ480p01T1Ol5Y8c5PzH90Am7n4Tn/PoF+xPZpT8sh3Wh/Xj9C28Tw+5NfsOnbRWya/Ee5+kv+bxpdrzid1sN6YAvwxS80kFbDeuAfEdxg56DHgKYymqIT6FjRTiSNRqOpH5RSpP6TQwwQmbWJblu/JCukI3mtTqHlmS2J7+hDaKQdZ+B17LjqeizAV91Gcdt9V2LxiFIJCgsh4Nbb4d3XOPX3GYQ4C3Ej9Bhb+VSXqDvGs2/FCkbvW46za0/Ci3KxhIQQNGTIIZnml55D9KS1pEb3pWdqH+JcxoNqbMoKQsdeWV/dcsyIzUa7l1+sdP/LY/tz3f8WceXBPAoDWzBy2008sfgJJl8wmVYhrSqtV59M/3shwc5rsbhKyPfNo0OL4zO6xHP8VITF15dOzz0Nzx1fTjK/Tp0Iy97GgfihWDD+DyIzNhI2/Ix6nQopFqFNzyja9IwCYMOiRBZP2U5Cu0tos34L6REziULgkg/A5ltvejQm2olUA45lOlt9UZOHo5o8ZOsH8pOHfX9u5LeHPkW53UT3bEO3q4bS6eJBRHVtecSKC5d+/Sj9xo9i5+xVWO02bH52di9Yy56F69g8dTGbpy4+JGvxsdHx/AH0vOEsOl00sF5Wb6jO+NdjWVPfY6AxnFRui8JtrdkENbdeSEOj0WiqZFPqOsKzOwNg4SDr73+B3l++QcT6aVgPRuH36afQvj2J143BUlzM2qj2hN98M51ijnxx1vO2G/hn8teEpJs5Zrr3xt688ixFAaedht8pvShet55LF3yOAoLPPQfxWF0q+Oyzaf3qJFKj+9LDaUUQxO0kpnA7QcOH12lfNCTRwX48e2N/3n7zR85y+uLy68aADWfwQNADPD7gceKC4ogNiMXH2jC5eJwlhSTs60RLICZ1FfbhpzfIcTXVx+LnR6At89B3q6uYsJwdhA6/o0H16DEsnq3Lk0jdnU963A1MT/sfkXt/xfrNebQc/gz9m5+GpTgb7IHg23Av2OsT7USqAd6RSP9RvzSiNjXX4cQNqNPUlqKsfH64/jWU280pN43g4kkPekkc+dDZZmh32gw9HCo99IkrSVm/mzWfzSM3KQNnoYPcfWmkbd7Hth+Wse2HZUR1acGwp6+l21Wn16kzyXP8PyfnVyhj0ZlgNHVIZeNMo9FoNMcHbuVmxtxZtIiNY3DvU4/YP3vZlwRyASg3f1v8mLbbl5iBd/P6qklEpu5n7/U3EDRsGI4NG8jz8WfS0Jv4/uxOFR5L7HbaPfYQyY89BkDbMVcdVTcRIWr8HSTedReq0FjpLXR0+RcVFn9/WgztyrZdu8gNNZYTj8rYSMTZw47IX3O8cXrHKP68cDDRH7xDcvyVdMw6m73bk7gl6xZsLjsBriCGdz2d+/veT3RAdL3q8suid4nPNKYnxh1YTMfrvq3X42lqh1+ndgTmH6AgKJ7wzK1YRBE4+LQG1UEswnm39eLLf/9Bbmg7WieMJj1xHot7pPKP615auEu5Ojef0QVuwu9ehiWidYPqVx9oJ1INeFnNbdRIpNo+vDQFZ5em6aGU4ufb3yF3fxoRHeI4753xtW4rplfbI+qnbNjDhq9/55/P5pK+NZHvx7zK32/9wA2/vYRvyLH9H1X0v6DHuaa+aIqOI1WL6Ww6EEmj0ZzsOF1OnpvxAnG/DyfRmkLcM7tpG9P20H6X28W2bYX0BUJy97A+ui2ntAhlXSKM7387r6z+nI4pCeTONiJc3zvlcm69bBBBvpU/UoVdcD75s2dTmpFB5KiqV5UNOnM4vp0749i2DWtkJAGnHunoCr34Ylo9/BYbTSdSbPIKQh99qIa90TR5YEQn7p13Cpdsncve1iMZkXAdQ/ddjm+JsZR5wZoNXLLrUsb1HsuN3W/E11r304WUUvyxOokODCAkZxfZUaFExUbV+XE0x06zfn2Im7acnR0uo/nBpfj17Ys1uOGjfYIj/Bh8RUeWztjD3jYXEZMSxwM/TkPchaSGCQfDQ/gwXjHqt3fod/XrDa5fXdOoTiQReRb4j1fxNqVUF3O/H/A6cA3gC8wF7lJKpXi00Qr4EDgTyAe+AJ5QSpV6yAwH3gC6A/uBF5VSn9fLSdUjJ9pDclUPZifa+TYlnEUO5j34KVu+W4rFx8Zlk/+Fb3DdOkhjerYh5r/jGPrk1ax4dxZLX/uepJU7+P76V7l65lPHFJFU0diobDxVNY4WvziFP1+aSpsze9H9qqHE9etAbmI6eYnpRHRsTuszejaJJWY1Gk9cVrDU8F/IpZ1IGo3mJKbQWchDix7CtrEVcYCvK5CJX33J8w8/c+g+v3r/IuJTjKlsodlbCR16KVPvGsKGxBzumfwPj5x6K8+u+YY+iRuZ16o/mQOHcUW/oy/5LhYLLT/6sNp6igjRDz3I/rvuJvy6axHbkY9rAf37E2dPIzF7B26LjRifdAJOHVD9zmjC+NutjLn9Uly3XEFkRjwZkT3wLTncB4Hunpy/KoRPSj7hn9R/+GDEB3Vup63a8A3BGacAEJu6Cv9RI+q0fU3dEdS9Gy0T36D5wb+wuRyE3vJIo+nSe0RbSopg1ew9pMQMICO8M+13zyKgMJWuSTn02ZVJQvAc+l31GhznzxZNIRJpE3C2x/dSj7/fBM4HrgRygPeA74EhACJiBX4BkoHBQBzwJeAE/m3KtDVlPgLGACOAz0TkoFJqbm0ULntYrS8nh+fD8InsSDmRz62pkbM/jbwDGfgE+FJSUMzsO98nZf0eAEa+eRvN+3Wot2P7hgQw9MmraXduHz4f9i92/LyS35/+mhEv33TMbR9rhEjKhj388dy3KJebhF9Xk/Dr6iNkIjo2p++tI+l25emEtYk5puNpjk8q+61qzAilWiXW1k4kjUZzklLgLGD8b+PZnLyVm9IvPlQetrsPczZ9x+geVwAwa/UEoguvByDNncfADkb0Sc8WoUwffxo3TFjBk5YbadUphX3BMUy9oHu5ZNp1RdAZZ9B51UqkkulpYrEQfvFF9P3gLQDCb70FOYFWgjqzawyvjrieUd+9R1Z4J+wl+fgXpVESEcU/He8hjNZcvuEBZrk+ZE67OYxuV7e5Cacsn0y7/IdBuWmWtoaO1xxfCadPJvy6dEEAm8tYVTpoWOOt5iciDLywHW16RLHgi81kJcO2zmMO7fcpySMy8TlU4kqk5ZERhscTTcGJVKqUSvYuFJFQ4BbgOqXUQrNsHLBFRAYppf4GzgW6AWeb0UlrReRp4L8i8qxSqgS4A9itlHrYbHqLiJwOPIgR2VRtrLix4eYFNQuov84ra78+j9EQPC0X1ku7nv2jqRilFAm/rWX9t4vYs3gT2XtSj5AJjA7l8i8fosO5fajJuk1VXdfKrk/rAR245LN7+e6GN1jyf9NRjhLaDO9J/ICOBMeGV/v4lelQ2XEr+x9SSvHrPR+gXG46jupHy0Gd2Th9CbmJ6YS2akZwXDj7l24lc0cS8/81ifn/mkRU53janXUKER3iCG3VjKjO8TTr2uJQVJVSioLUbNK2JJK2ZT/5Kdn4BvvjFxpIePtYWg3pis3eMAkhNXVHff2WHQvaiaTRaDTV59018BuJIgAAIABJREFU77IubR1DEodgU774F6aAWMC/GQsn/0iXx/ry4crX2ZDo4EL8sDty2BAcxlXtDq/GFR3ix9Txgxg7aSVr91s4v1ccp/4/e/cdFleZPXD8+06jDAOk0ALpIaT3ptFYYmxRY3fX7q7uurquva199WdZ29p1V9fYVo29G42xpyek955AQoBQB4Zp7++PCwkSCAwB7gycz/PwEGbu3DnM3LnhPfe85+3dudVitsTEHPT+hNOnUfD88wDEnxp+/08dqgtvuIh1X79OSuFqNPDdqMMoHzWGKe89zrIBVwNJnLzmzzzueoIjMo4g3tEyS9Jv2/Yz+Xsy6QN0Kl5PWVISzoz0Ftm3aHm2Ll2wJSXhz8/HlpaGo1/rXRhvqpTe8Zz797EsnrmN3PXFuIurKC1w43O4sOcOomT+myRKEumQZSqlcgEPMBdjKtp2YDRgB2bVbKi1XquU2g4cBsyr/r6i9vQ2jMTQCxhT17Krt5nFb80E/tVQQEqpKIzpczXCro16KIOa5iRdmrL/xvYryZ62FfAHKNq8mx1z1zL3X5+ye9mWffdZrBbiM7ri93jxVVTR6+ihnPbiVbjSQv/j51De1+EXHE3e8q388uiHzHnyE+Y8+QnKYmHKw5dwxE1ntGoMWmt+/L8ZBH0BxvzpBDbPXs62n1djj3Fw6gtXkdgjiaPv+t1vHlNVXsnKd35m6Ruz2TFnLQXrcihYl/ObbaJcMXQb0w9/lY+CNTupLCpvMIao+FgyTxzF2CtPovfRQ0P+HYSooa0aHeLqbFqaIgkhOqBVhat4e+3bxFVoJm4YQ6kTuruXYg9WsSrmNPrvOop7HjuDpf2CTCw0qpS67F3NmoxMRvb47UWuxFgHb18xgbmbC5jYz9weOY4ePUh74H6CXi/RWVmmxtIa0jrFsuy6v7P2xRfYc9JZnP+38+nsdPCyL4axbz/OotG3kEgK/dcdwdNLnubOCXe2yPO+Ofch+hYafw8m71lM7JRjW2S/ovVEDRyAPz+fuEmTwqYFhc1hZfypffb9POv1paybsxdt603pojdJPP0xsDkOsofwZnYSaT5wKbAOYyraPcDPSqkhQCrg1VoX13lMXvV9VH/Pq+d+mrBNvFIqRmtdWU9ct3Ngr6awUjOIbkqyp2abUAbekgCKDMFgkLWfzGfOEx+Ts3ADAe/+2aAOZzQjLzuOrFPH0v2wAUTFHfyKVls57sGLSB7cg83fLyd30Ub2rNrON7e8irNrPCMvbXjOee1jvTnHZ87CDcy++y0AfnroPWzRxon7qDvPI7FHUr2PiYqLYfTlxzP68uPxlLjZ/N0ydsxbR8mOAoq37WHPyu1UlVWy5fsV+x6jlCKxdwpJAzOIT++K112Jp9hNzsINuPeUsHLGL6yc8QsjL53MCY/9gdjOLoLBIDoQxGo3+5QswrHqSAghRPMEggHun3s/Vl+Ae7/sycb0PigdYNy9FxPTrRsbb51NlaMTZ2VPY0xBNA5GEQRiSjaQcOJRxDgOLPmMcVg5dkB4TG9PPPtss0NoVSdeMBUu+O3U8ctvu5SvVy9i4No3WTr8GobkTeLLeS+you8KhiYd2gW6kqLNfL/XwxkVGahggOT8ZfQ7+7ZD2qdofZ0vuYSgu4LOlxx6q4zW0j0rlXVz9lLq6smOXE2PjbNgQMtOw2xLpo5YtNZf1fpxuVJqPrANOBeoL7nTVh7CaMRdwwXsvFWdRLxqmVJJM3TEwVF7TYZprVn13q98/4+3yV+9Y9/t9hgHXQdkMPCMwxh31cnEdg67IjosVisjLj6WERcbV3a+uXU6vzz6IZ9c8QyxSfFkTa2/MWRj72VDx3fN43bOXw8Yr5Gv0ou3vJKuWekcfuPpTYo7OsHJoDMPZ9CZh++7LRgIsGfVdnIWbsDhjCZpYHe69O+GPebAlUKCwSA5C9aT/ep3LH75G7Knf8eaj+fhcEZTnleMUoruEweSecIoeh09hJQhPXE4I3up3kh0KOcMj65owUgOLmhpxnS2ps9aFUKIduHdde+yqnAVpy934A0YjZK7J+biGmy0Yx03rQ8/f1FETsbR2LQxuT+ufCc7LVWM71v/BSZhLqUUU55/mGVnnkfGzu/ZmXEMR2/8Pfd++yAfnP/2Ie37xyUvkbF3NACdi9ZQmRhPTKb506PEwcVNnEjcxIlmh3FQKb2NHEK5qzveTTH4l76DTZJILUNrXayUWg/0A74FHEqpxDrVSCkYjbSp/l53QmFKrftqvte9XJAClDZQhYTWugqoqvm5pizucf0F0bplV7ASrSusDvAWkpu9mc+u/Q/bflkDQHRCLBOunsroy46lU+8ULL9prBj+o8aTHr4Id14R2a9/z4xzH+Hy2Q/QfXz/Ftu/rfo1yF24DoBJt5zJgFPGsPrj+Yy48GiiHVaa/TpZFRnDepIxrGedO+rZnwV6T+hP7wn9GX3x0Xz4p+fIX7MTT7F73yZbf1jB1h+MqialFJ37pdFr4kAyTxxJv8nDiOnsCpsyXQG3q2m/+blUlfJgGz13s3oihf/pQAghWkx+RT7PZD+DJaA4aWUqK3saQ4aMYwZw2MPfsdftpZsrmtOi/cR6gqTlzCM1bwHxpVt4ceg0zqvVD0mEF5vLxbC3phN13oXsdQ8EZyq9l49i1fFrGNx1YLP3u3XvBvoVGtVdyXsWE330MfJ3l2gRCUkxWKMCBKrsRJX1ILjqa6gshphEs0NrlrAaYyul4oC+wBvAYoxV1iYDH1TfnwX0wOidRPX3O5RSyVrrms7BU4BSYHWtbeqm+abU2keT3aimRnQlkgjdQ/oTs0PYJ+APMOuu//HTPz9Ea409xsGkW85k4nWnEp3gNDu8ZlNKceZ/rsa9p4T1Xy/htVPu58+/PExSVss2Mdy5YAMAGeMySR/dj/RWXJGuMT0nDuSaJU+yfd46HLFRuLp1xldRxYZvlrJh5hJ2LtxIeV4xhRtyKdyQy+Lp3wHGaiz2WAfOrvFkjMuk+/gseh05iG6j+tRJHoq2UPf80KaVSJJEEkKIg3p/4adMWXIFyeUZZGcaQ54Ym5snd8SSV2pcK95WXMkz0UA03Nstlaz3dgKwPDWLR3qEtuiHaFv25GT6T/8PlZdez4Ksv9K7aCRv/Po+D09r/kpquwo0GZWpqKCPpILl9Dnj2haMWHRkSimS+ySya00Zbldv9u5aRurGWTA0MqekmppEUko9BnyGMYWtG3AfEADe1lqXKKVeAZ5QSu3FSAw9A8ytXpkN4BuMZNEbSqlbMPofPQA8V11NBPAi8Fel1D+B/wLHYkyXO+S1mcMpwXAwNVfLIyVes9WtLjBLVVklwUCA6AQn7vwS3vn942yu7r0z7HdHcuIjF5PYvX2UWlvtNn4/42ZemXw3Oxdu4NUT7+XKXx8hvlvTG38f7PiuLC6nYH0uABljMw853pZgi7LT56ghv7mta2Y3DrvayHmX5RWzK3szG2ctY/3MbPas2o4OBvGWe/CWeyjauocVM34FwJmUQObxI8g8fgT9jh+JKyUyr2qEk+acB0pVKf9ohVjqE7BqLCE21g7I8mxCiA4kd1E5qeVGjxxLoIoESyFMHMBPy/Jw2Cy8+cfxKAULtuzl0ZnruLeiO8efcyd7tuaQNDir3n5IIrw4evZkyNP/YN2DcylJ6EvRsmL8p/qxWZo3xPUUpQHQuWgt/thoYkcMb8lwRQeX0bcru9aUUeLqRW5eLCl5q1ERus6O2ZVIGcDbQBcgH/gFmKC1zq++/3qMeSEfYKyWNhO4qubBWuuAUuoUjNXY5gJu4DXg7lrbbFFKTQWeBK4FdgKXa61nHmrw4ZJsaKpIi7e2tkyAmZVs01qz4r1fWfb2T+xetpWirUZxnT3GgbJa8JZ7cDijOfOVvzLs3CNMibE1RcXFcPHnd/LSEbdTuCGX1097gKsWPNYiFTY5izYB0LlPCs6ukVFN6EpJxHXiKPqfOIqTH7uMqrJKqsor8VVUUbwtnx3z1rF93jq2/LgKd34JS9/6kaVv/QhA6rBeJPboSmzXeBIyutJ9XCbdJ2RFzO8uGqebUYmkpRJJCNFB+AI+gnuMBTT6bfyA7rt+JOHjLzjxzbUA3HR8f8b1Ni5Uje3VmWi7lfs/X803FU5I7s81MpUtYsQMHUJq6XOUJPSl757hzN81n4npoffH0Z4ygh5jXaa48p04jjwKZZVEomg5NX2RSuN7YlnhwL1zBXEmx9RcZjfW/l0j93uAq6u/GtpmGwdOV6u7zQ/AyGaE+BvSE0m0lsqicj6+6kVWvPvLAff5Kr0AJA3I4Pz3byVlUPe2Dq/NxCUlcNnX9/DMiOvIXbKZrT+tos/RDafom5IYfUh/ws4FRlPt9DCpQmqOKFcMUS5jhb0ufdPoe+wwAAI+P9vnrmP910vYMDOb3OzN7F6+ld3Ltx6wjyHnHM7v/ncjFvmjqFGhJJPNSNDLdDYhhGjYyoKVdCk3/l7qVLyehJNO5I5f8iir8jOyRyJ/PKLPb7b/4xG9Kanw8vTsjQCM7y1JpEjSK6OK9UEfTn8GH82bxcSzQk8iFeYuIr6iGwBO9y56nHp5S4cpOriUXkYSqTI2BYvPiWf1GkkidQR1eyI9qj8yMZr25WZ1xr5/d5TXtWJvGdvmrmP7vPUsmj6bkpy9WKwWJt04jawTR5I6tCeOWAelu4qo2FtO2tCe2KLsREKz7EOR3DuJ4ecdwYKXvyV7+nf0P3pwkx7X0HFjA3IWGv2Qeo7tt6/Rdnths1vInDSQzEkD4cELKNtdxPb5GyjPL6GioIz89Tlsm7ue/HU5rHxvDj8P68XkOyJz/nU4qH2uEkIIEZ4WrV9KVKAnKujD6c5l6zF388PP+ThsFh49exhWy4HNkq+f0p9oh5XthRVM6NP06fTCfF2POZau760iP2kEZav8uE9z47SH1i90W85CurgHARDtLcR5+GGtEarowKKddpxd7bgLfJTG9yI5dx74KsEeY3ZoIZMkUgie0p+FTSVSzUCmvSRc2svv0VSrP1/EW+c9tq/KCKBr/278/o1r6V6nWqZLn1S69Km7h/Zt7GXHsuDlb1n+3hymPX050fH1f+6aetxsr26q3X1c5FYiNZUrtRODp9VdtBIWvfY9My57hm/vfYfM44bRowVXwBNtL2hpRiVSoHViEUKIcLNx7VZ60BNX+U6cI4bxemUCUMp5Y7rTL9lV72OUUlx1tCznHoliDzuSlGdvJT9pBH3zR/Lt1lmcnhlalfCW3C3Y9RiUDqD6pGOJimqlaEVHlt6nM+sL8ih19WJ35WJSCzZA2jCzwwqZJJFCcK06NexWZ2svV8XNSiKZUQG19dc1vHnuY/g9Xrr0TaX3kQPpefgARv7+SBzO6DaJIdz1mNCfpKx08tflsGzGr4y/fEqz91WSU0jZriIsVgvpI3u3YJSRZfTFR7Pu6yUse/dX/nfBk1yX/QTRrsi78mGGcDzPaqtGh9hYO9TthRAiEvmDfsp2Gf92lW3HecoxzFqTB8CJQ1JNjEy0FnuPHiR7N2LzVeAkkdnzQk8i5eZ5sQIxFfl0Gt60KnghQpXSO571C/Ioje9F51IbZTtW4JIkUvtWU4nU3qqAOrK2fg93r9rOq6c+iN/jZcDU0Vzy4a1Y7fIxrEspxZhLj+Gr299k0fTZTUoiNTTQv2TBrQCkDOnRoZN0SinOfOFKts1dx97Nebx7yVNc+O5Ncvw1QWPnCTOSTM3qiSStsIQQHcC6vevoVG70tokv2862LhMo3OIlIca+r5m2aF+UUriGDyA5bwm53Y5Ar3eRX5FPUmzTVzHeWxJLEuCs2EXqyMgb1IvIkNIrAahurr3TSsHmZbjGXWByVKGT0UMI6lYihePV6UP1ZPB9s0Not6rKK/nvyfdTWeym12H9ufSd63HYFGiZY1KfcRceydd3vMW2OevYu3Y7yVnpB2xzvWV/b5+Gjt2apto9x/bF1sFfa1dCNBe9eS3PH3cfqz5ewLsXPskFb16L1SbZhUPxpDaOPU+wos2eU5JIQghRv4W7F5FU3VTbVbaNWb5EYC+TByZjtx76iq8iPMUeOYXU594jt9sR9Nk7nG/Xz+b8Eec17cG+SvyVyYDRVDtm4LmtGKnoyLpmxIEliM8eh/Im49u1yuyQmkWSSCF4Lvgx0cHw6IlUo/YgujEtkSAK5fk6msZe39mPfkLxjkI6907mj5/ehiNW5lofTEK3zgw4YQRrvspmwfTvOeWhCw+6fUPH5gsL7wOg+xjpcwDQe+IALnv/Jl4961GWvjcXi83KGU/9AWeX+ntEiMbVHHulllL+3kbPGbRqgiFOTwt1eyGEiEQrNqyhT7A7lkAV8c4An22rBOCEwTKVrT2LHTeehAcfIdadC85urPluI4xo2mN1wQZi3Eb1WrQ3H3v6gRcuhWgJVrsFR3IQ724L5c6epOctMjukZpEkUgiutpxOvCW8eiKFoj0ngMK9gqo4p5AfHv8MgNP+eTHOzjJgb4rxf5zMmq+y+eXZr5n4lxPo1OO3ZclNed/z1uQAkD6iV2uEGJEGTR3NJe/eyPRzH2fJ27+Q/c6vdB/XjxHnHMakv52MxSolK7W153OnEEK0J0EdZPfWYvoArvKdBPplkVNcSbTdwqTMpk9tEpEnKjMTa4ydfps/YfnQv9B1Y3927NpN97R6koelubD6Uxh1MThiKchdgqvK2C460YGySMWaaD0J6THk7/bhdqbjKv4Gn6cce3Sc2WGFRD4hol243nL2vq9w9NVd7+Cr9NJ7YhZDzzhw5SxRvyHTxtL7iAF4K6r46NpXm7UPn8dYAS9Kmkj/xpBpY7nsg5tJHdIdrTXb52/g05te562LnyHg85sdnmhEzXS2UL+EEKI921C0gbgSY1qSq2wbGxMyAJiUmUSMQ06C7ZmyWokdPpguhSsJsgGbdvDN+9n1b/zNXfD1rfDt3QCs3bwGKzGoYICUAWltGLXoiFK6G32R3M40/OVWtq5t4DgNY1KJ1MrCvULGTA0lfNrba5azdAuLXv8RgNMevQSllMkRRQ6LxcLZz13B46NvYeWnC1n5yUKGTBtb77YNHU+3eY1pcDaHnO7qGnzKaAafMprinYUse38un936Jtnv/EpVmYeL370eR0zHm3IZronougIWUCFeBgrIZSMhRDu3KG8RSe4egNFU+1M9HpCpbB1FzOFHUz4vm/67PmBj2m1UrrJTmFNOl/RaVR5as2GFmwUFz3LcvOdImbiDjTtLAIitzKPL0IEmRS86ih49U1hJAeXObpSX2ti1YSmZI440O6yQyKiqlUXKgKSlhJIACodkUVMaMx+qr+95F601I8+bSM/xma3yHO1Z2pAeHH3DKcz+5yd8eO0rZE4eQlScUVXUlM9XwGtU1VglidSgxIwuHHXdKST178b0cx5j9ReLeeG4+zj/tWtI6texrsjVdx4Ix/O4toTeE0lbpCeSEKJ9W5i7iF7u4wFwlW3nB07CalFMHphscmSiLcSOMS409ti6jZmDl9J37wh+/nAdp18zet82es965hWcRmkglbklv+f0nx6lqMRBFEZT7aisySZFLzqKtO7GKpGemK6U7IqjatdqkyMKnYyqRIsKx8EWNJwgau1ElqeskrXfLANgyp1ntepztWdT7jyb7HfnULQtn19f/IZjb5oGNP7+aa0J+IwV2SSJ1LhBJ4/iz1/dySvTHmbbvA08PvJmTv3nRYz/w7HYouxmhydqCVpByepsQgixTyAYYN3mzWQGo7D6PdhtVRRFx3N4784kxjrMDk+0gZghg1HRDrTHS8D2KUGGkrOqhN2bS0jtY0whypm/mNKAUZmW4x3K7gX/w191yv4kUv/+Jv4GoiOIjrMTsJZhDbgoCXQnpniD2SGFTEZVokNobnLrqeB7h/S8G2ctJ+D107VfKmkD01FIJUBzxDijmHzzNN7/68us+Gg+x910WpMe5/f69v3bEWXDIq9/ozInDeTm7Ed55/IX2PD9Kj7468t8+LdXSOzelZQB6Qw5dQzDzxqPKznB7FDbTEPngWst57RxJPtJEkkIIX5rdeFqnMVdAXCVb2d3Si8AxvXubGJUoi0ph4O4I4+g7NvZnLRxB5/3XcjA/Aks+morp1w9HIDVS4zV+gLKj1XbyC6bhq06qWS3lmGNi6wGxyIy+eLLsBa5qNAZZPp+Jq/UQ0p8tNlhNZkkkVrZoSYhRGRb9cViAAZPHSW9kA7RkNPG8P5fX2b7/I2U7i4mPjWx0cf4vfsbREslUtN16ZXMX765i1+en8nX971Hxd5yirblU7Qtn7Uzl/LB315h4AkjOOHuc+g5rp/Z4bYKMxNETaGtGh3qdLYQtxdCiEgyf/d8ksq7A+Aq28HaBGPJ9kFpkbuysgid6/gTKft2Nr02WVg6aRZZ+ePYtqKQ/B1luDpFsTnPaLau3W9B7CVsrpqAA+OiY2I3WYRFtA2dEoAiqIhNJ81TyA+bcjlhZB+zw2oyGVW1snAfiHQUZiTzgsEgq79cAhjThMShSUzvTPcxfdmxaBOrPl/MYZf/ds56fZ+1Qn8ht1X/Wxprh8ZisTDprydx5NUnUr6nhPyNu9k6bz3ZM+ayY9EmVn+Vzeqvshly6hiGThuL1W7FERdN1nHDiIqLnCspDal9zpDzuBBChL95ufNIqTBWwHWV72BR0mAABnWTJFJHEjdpElgt6BIbPUvz2dQlm8zC0Sz+ahvduvkIaDsW306mLFjAL+NG4IsdjsKOCvpIH9zb7PBFBxGbZkevBbezG363lcJtK0CSSO3TC8GPiA7G7htQSJWROJidizdTlldCVFw0fScNMjucdmHoaWPYsWgTKz9bdEASqT5erxcAZVFYrLI0VXMopXClJOJKSaTPxAEce+Np7Fmfy6yHP2bhGz+y8rNFrPxs0b7tO/XoyjnPXd6uEqeNnevNSDIFm7E6W1A+AkKIdqrSX8mSvCVcWHE6AHHlOayLn0J8tI30RKku6UisCQk4Rw3HvTCbS1eV88D4b8ksHM2m7D3krfcDNlJ3zUEBw9Z+w+JRxjS32Io9xA0abGrsouPo0i2OAqDc2Q1fmY2YosjqiyRJpBD8xXIG8Zb9VzPk6nR4Cpfk3qovjCqkAccPlyqYFjLk1DF8efe7rJ+1nCq3hyjn/oqX+t73wso9gFQhtbTk/t04/79XMfmWafzw5OcU79xLwOdnz7pcirYX8O9TH2bkuYdz1HVT6TmuX8RP5QzHc730RBJCiP2y92QT5YkjKhCLCvqJUm72xHRiQrf4iP8/SIQu7sSpuBdm02eThZKj97Cl03J6Fw2jvNxGQPnou30hAAmlW3GWrcft6o/TvYvorMhaZl1ErvQeXcjXlfgcLkqLE4l1bzc7pJDIyCoENZVIQjSFTGVreWlDe9C5VxJ7t+azftYKhk4bu++++gb66/3ruR+wyspirSJlQDrnvfTnfT9XuT18fe8MfvjXF2TPmEP2jDl07ZfKuEuOZuKfp+Ds4jIx2vYlYNEQYo+jgEV6Igkh2qd5u+bRxW30QHJW7KYwrScoxaC0jrMIhNjPNXkyefc/gLfAzpF5DpZkfEvvomEAFDmWY/dXkOvsQnpCNIPWvs/GfmeRtudn7N1vNDly0VF0S0hjkVqAnWQK/b2wVRWbHVJIJIkUgrqVSOHsucC7ZofQoRXn7mXH4s0ADD1pODYdNDmi9mPYaWP44emvWPXpQl4+45/7bq/vmM+t3AEYlUjyHrQ+W6yDs/55IWPPO5zvn/qSZR8vpGDjbr686x1mPfQRh/3hGCbfcAqde3Q1O9SIJ5VIQgix37zceXSpMJpqO8tz2ZiQDkg/pI7KnppKdFZvPOu2cMWafC44tpItnZbTq2gw1oofAdiS1Jtxt1+O/vOVjFz2NPahg1FW+Y9StI0UZwpljl109iazN9gdhy/P7JBCIkmkdupq63lmhxAWzEqmrf5qKQA9x/YlPqXxVcRE0w09ZTQ/PP0VK79YwjPetw/a6yhQvTqbTGdrWz1G9+GS1/9KVbmHpR8t4Punv2Rn9lZ+fPZr5rz8HcfddBpTbjkNR2yU2aFGrKBFo0KsLApKJZIQoh0q8hSxdu9ajnOPB8Dl3snHKcbKobIyW8flOvFUPOueJnE7jKj08W3/6cT44rjqs70AVPXtj+uoo3BNmULZt98SN3SYyRGLjsRpd1IcX0DnAiixZZDhXW92SCGRkZUJIqFKqKEkVCTEHg6WfWzMtR4yVaaytbR+Rw4gJiGW8vxScpZvo/vIhlfS8FcnkaySRDJFVFw04y+axLgLj2Tddyv5+v8+ZOPPa/jqgQ+YO/17xl90FINOGE6vCZlYbeF79a+h856ZyXptDb2ySIfvSyyEEM22YPcCNJqM0urpbJ485scfh92q6JccZ3J0wiyuKVPIf+pp3HnRXFxYxA0ZSbijSsjcZdyfMHwoAGkP/h+xY8cQf/LJJkYrOiJ3WiUUgDs2HWdFqdnhhERGViH4d+ADYgLh1ROpuYOYxpJBkixqvopiN2tnLQdg5FkTTI6m/bHabSSkd6aypIITysZzjPWYBrf90f8jjwO2KDnVmUkpxYDjhpI1eQjZH8zno1vepGh7ATMf+oiZD31ETKKTYdPGMPqcw8iaPASrPTLer5rzpFR+CiGEeebtmoctYCfKlwQK7D0647PaGZjswmGTZSk7Kkffvjh69cK7dSvb1h5BUtoavB5FYrkmiKL3YcaFXqvLReeLLzY5WtER2VMssALcsWlEl7jNDickkfGXepj4k/Us4q3toyw2HAY94ZCoqv06tFQ8K79YQsAXIHVgOqkD01tkn+K37NFGo+z33DNZHdjT4HZrKo1knkxnCw9KKUadPYEhU0ex5L25rJm5jLWzVuAuLGP+az8y/7UfSR2YzrWz78GVZO65NhzOkQcTtIbeWDsY4vYASqmrgZuBVGAZcI3WesFyV2rtAAAgAElEQVRBtr8O+AvQAygA3gdu11p7Qn5y0aqUUlbgXuBCjPc3F5gOPKC11tXbKOA+4AogEfgV+IvWOrLWIhbt2rL8ZXSqTANlwe4tZWffgeCVqWwdnVKK+KlTKXjuORzb/AyIuZnR7p+BOeyMS+LwzDSzQxQdXGJKLGgfAVs0wYo4PL4A0fbIKBuXkVUrCIfkSHO15MApEl6H1ohx6QfzARhx5vgW37cw2KMdAPirfAfdLiDT2cKSI8bBhIuPYsLFRxEMBNn0y1qWvDeXxTPmsntNDv8563Gu+fZO7CauqheOU9hq0xbjK9THhEIpdR7wBHAlMB+4DpiplMrSWh+QvVVKnQ88DPwBmAP0x0hKaOCG0J5dtIFbMRJ+lwCrgDHAq0AJ8HT1NrcAf6veZgtwP8YxMEgSgyIcePweNhdvZnDJGADiynOY27U/5Gppqi1IOPUUCp57jlH5G/h4SxcGe7OAOeSl9cYVLSv3CnOlxCWjg3koawZuXxolbg/RiU6zw2oSGVm1gnAZZJitJV+Hl/z/a7F9tSZPWSWrZy4DYMyZY7HpgMkRtU+OaOPUFajw7HuN/2w7/4DtPgo4eBHIcKTKexGuLDBwUhYDJ2Ux+erjeeSIe9g8Zx3vXPEil07/C0YhhKirjSqRbgD+o7V+FUApdSUwFSNJ9HA92x8O/Kq1rjlhb1VKvQ00KaOulHJqrSOrnjuyHQ58orX+ovrnrUqp3wPjYF8V0nUYlUmfVN92MZAHnA680/YhC/Fb64vWE9ABBu02Kr8TKGRe5UCgUiqRBI5evbANGgyrV5GxdA5lvp0kADozy+zQhCDFmUKO3oSdDEpIJ66kkBRJIglxaNoicVQ78dASz7fyq6X4q3wkZ6aSPrT7Ie9P1K9mOpvPs78Sqb73b2HFXAAKHcVtE5g4JKkDuvGnd6/lmamPMP9/v1JZVsmoM8YxcMpQElLNW+WwvgSl2YIKCLGyKLg/H+eqk5yr0lpX1b5BKeUARgMP1dymtQ4qpWYBhzXwFHOAC5VS47TWC5RSfYCTgTeaGGKeUmoG8F+t9S9NfIxovjnAn5RS/bXW65VSw4Ej2F811htjmtusmgdorUuUUvMxjoEDkkhKqSig9rKLrtYKXgiANYVrAEgqT8PngE4ZMewsqgRkOpswdDn9NPJWr+KYHUuI8ZQA0GmkrMQmzJcSm8IWazZ2oIp4KkryMboBhD9JIpkgUqpqOoKWfi+WfGi0Chl5xlipoGhFtnqSSPWR6WyRZ+DkIfz+2ct46y+vsPyzJSz/bAlKKUafO4FT7z6LlP5t08MgHBNHtQWtQIjT5mut5razzl33YfTGqa1r9TPk1bk9DxhQ3/611v9TSnUFfqmuYrEBL2qtH2xiiBcClwKzlVJbgf8Cr2utc5v4eBGah4F4YK1SKoDxft+htX6r+v7U6u/1HQOp1O924J6WDlSIhqzZuwYV1GiLUYkUGDwANkB6YgwJsTJdSUD8SSex66GHGVC0HYAgisyJo02OSggjieS1VuIMQhVxeEoKzA6pyWRkFYL/+mcQ4w+v1dlE+PBWVLHyK2Mq2yjph9Sq7FHVPZFqJZHqqyrzVyeRpLF2ZDny8mPpPrwnSz9dzOqZy9ievZVF785lyfvzmXDRkZx679l0Su/cqjGEkmAO94RTPTKAslo/VzW0YSiUUkcDfweuwuih1A94Sil1l9b6/sYer7X+GPhYKZUEXISRULpfKTUTI6H0qdba3xKxCgDOBS4AzsfoiTQC+JdSKldr/Voz9/kQRh+tGi4OTFoK0WJWF65mQE4ifpsTFQywsVd/2LBR+iGJfWxJSZQNGknCqiUA5MQnM7lXislRCWEkkTw2N3ihSjnxlRWaHVKTycgqBH+wnUu8rXn/KUn1Ufv3w4uz8FZU0aVXEj1G9TI7nHbNHmNcXfR6vPXeXzOoDwSKeROwOiJjpQOxX6+xfek1ti+n338uO5Zu5dN732fFF9nMmf4ji2bMY8oNJzPlxlOIjos2LUYzk0cBi0ZbQuyJtH/7Mq11aSObFwABoO5f2inA7gYecz/whtb65eqfVyilnMC/lVL/p7UONiVOrXU+RiLiCaXUNcCjGNPiCpRSLwIPa60rmrIvcVCPYryWNdPSViilemJUE73G/vc5BdhV63EpwNL6dlg9LXJfUlIqckVr8ga8bCjewNnbM8ECccEC5u/uAsBgSSKJWpxTp0J1EqkovQ9Wi5ybhPkSohLwRnmNJJLFid+91+yQmkySSG0kAq9Uh61wTMjlb8rjs3vfB+Dkv58ufzi3sprV2YZ5sw762fJ6jSSTVCJFtu4jenH1xzexee4G3r/1LTbP3cAXD3zEL698z7R/nMuEi47EYg2xQVALqDkXmXF+P8TpbI3SWnuVUouBycDHAEopS/XPzzbwsFigbqKopqN9k0+KSqkUjNXALgV6Au8Dr2BUUN0KTACOb+r+RIMaer9qPkxbMBJJk6lOGiml4jEapb/QRjEK0aCNxRvxB/10L+5GWWfoFF/F9+uMhSOPyUo2OToRTvqffSprHn+YqIAPS9ZAs8MRAjAutFidNigDnyUWXbHV7JCaTEZWIQjH6WyhDF7CMflSI5QG1+H2O2uteeuqV/BVesk6ZjCHX3pUqz9nR1fTWNvj2b/CdH3v9U+V8wGwOaQvQnvQ57BMbv7xHpZ8uICP/v4OBZv38PoV/2b2M19z0UtX0HNMnxZ7rnBP/ActGppfidRUTwCvKaUWAQswVupyYiwDj1LqdSBHa3179fafATcopbLZP53tfuAzrRtfHlEpdSZwGXACsBp4HnhTa11ca5s5wJpQfxFRr8+AO5RS2zGms43EaKr9XwCttVZK/Qu4Uym1ASOpdD+QS3ViUQgzrS5cDVrjCHYDQCc7qSgO0C0hmmEZCSZHJ8JJVLyLxeNOpH/2j3Q/9USzwxFiH0dCFOwGn9UJlZGzEJAkkUJg0xpb06rx28wrvjebvG1rvdl/tF9Y7+2hxFZ728biDIffubZfXvuJtbNXYY+2c8nzl2FHgw55sCZCEBVlvLO1k0j1Dfr3+DfxEWB3WMPusyuab/yZYxk1dQSzn/+Wzx/8hJ3Lt/PUSQ9x+0/3kDagm9nhtQltDa2yqOYxIW2v9bvV/Yn+gdFIeSlwota6ptFyD35byfIAoKu/pwP5VCcqmviUrwJvAxO11gsb2CYX+L9Qfg/RoGswkkLPA8kYr+1LGO93jX9iJA7/DSQCv2AcAx6EMNmawjUklUBlbAYAS51JUOzmhCGpUhEuDjDtmfvZtKec8X26mB2KEPvEdI4DwG+NxVpVZHI0TSdJpBBcbD+PeHvjc6xDSXKEoqFkTWs/b2PMet62orVu8I+R8sIyZtxiVMBMu+cskvtKo762YI8xprMtda/Yd/zV9/mQ6Wztlz3KzgnXn8zEi4/kmTOeYNO8jTw17TH+/vM9xCcf+hXoppzXGjsntybdjEqkUHsoAWitn6WB6Wta66Pr/OzHWOntvlCfRyllw+jF80GtJFV9z1nZnP2LA2mtyzCqy647yDYauLv6S4iwsmbvGvrutlMRY0xd+2KP0Y7rxMENLR4oOrKucVF0jYsyOwwhfiOmqwuAoDUai6exdpXhQ0ZWrcCsgYWZA5pIEkrSa8uizTxzxhMMPGYQV7x+1QH3f/rAR1QUuUkf0p0p10p5bFupmc7mq7U6W2017/GiymwArJJEarfiurj46wfX8+CR95G/eQ/PnvkkN3x9W4s23A7Hc2vQolHW1k8itRWttV8p9RjwhdmxCCHCny/oY93edZydnw42C1HBUvJ8drrGORjTq3VX7xRCiJYS3TkBvw6CsmBzt8hiuW1CRlai3WmpyqiclTv41ymP4t5bzvx35jLp8mPImrS/GV/umhx+ePE7AH73+AVYbbICWFupSSL5ayWR6nvf/V5jNXC7JJHaNVdSPNd+chMPTrqPzQs2ccfgmznjH+dw+IVHmNJwWzTbAoy+PNvMDkQIEd42F2/GG/SSWtadik4QZdkLpDBlUKqsvCWEiBiuhM6U+T347bFYPX6zw2kyGVm1svYw1Stcp9E1FFcoVQMNxZ63MY8nTn4E995ybFF2/FU+PrxzBrf9ePe+qW3v3fY2wUCQEaeMYuAxg0P/BUSz7atEqqq/EqlGTRJJKpHav9SsNK795Eb+c8kLFGzJZ/oV/+H7F2Zx3ec346ouFW5PghZQIebHdPjn054HHldKZQCLAXftO7XWy02JSggRdtbsNfrrx/rTqQD2KGP6+klDZCqbECJyxEcnUBGowG+PxVYVOQlwGVm1svoSGuGcWKqJt3aM4RxvjZaMMfvTxbxx9auU5pWQPqQ7f3rjKv7v8HvYNG8jy77IZsQpo1jx9TJWfLUMq83K2Q//rsWeWzSNPdroieSt9B50u5okkvRE6hj6Tsjk/uWP7Gu4vW3JFl6+9AWu/eSmkCuSwnEKW20Bi0a1QU+kNvZO9fena92mAVX9Xco9hRCA0VTbVaHxRBtNtRc6EoiPtjFBmiYLISJIvCOevGA+0BXli5zxSuREGgZe971LjC/GtOc/1EFNUxItkZAwqtHSsbqL3Lz1t9dY8O5cALoNSueGL28hITWRY68+nq8f+5yP7nqPdT+tZfaz3wBw7NVTSO2f1qJxiMY11hOpRmBfEknGnh1FTcPtwccN5cEj7mXVNyv4/MGPOe2uM5v0+HBPHtUIWkG18upsJuhtdgBCiMiwunA1vXdbcDuNFTlXO+I5blAKDlv4l1wKIUSNhKgEVLACABW046nyEh3lMDmqxkkSKQQWNBbMu5L7qu+NQ3q8/Ld6cG9dM50FM+ahLIqTbpzKtLtOr6540Zx808n8+J/Z5KzaSc6qnQCMmDqS0+86w9RjoqNyRBunroQq10EH/d/4PmMuYI+yyfvUwfQYmsFFz17KK3/8N5898DH9xvdlyPHDGn1cKOfZy+wXHUqIhyTYDiuRtNbSC0kI0Sh/0M/avWs5OS8NbbFhC1RQalEck5VsdmhCCBGSeEc8xsKz4Am4KC0uIDqlm8lRNU6SSBEulEHMoSah2jO/z8+yL5cCcP2nNx4w2IzrHMepf5/GjFvfJi0rjd89dgFDT2h8QCpaR00lksfjOeh2Xq8x3U2ms7U/TTn3XfaHi7DOh3//+9/87/I32b59O3a7vQ2ia33ttCcSSqmLgCsxqpIO01pvU0pdB2zRWn9ibnRCiHCwqXgTnoCHjNIMvPFgC+4BlcKA1PbX/04I0b7FO+IJYlQiVQbicBfngySRRM1Ap7WubktiqGVsnr+JqnIPriQXg44bUu82J15/EsNPHkFSnyRsdvnomMkRY5R5VlZWHnS7miSSNNZuf5p67hv92DjiP3mX3bt3c9PntzLilJGH9LxmVh+1d0qpvwD/AP4F3MH+HkjFwHWAJJGEEKwqXAWAy5tBIVBmqcBqUfTs4jQ3MCGECFF8VDwBi5FEqiCOypICkyNqGhlZheBC+++It8c367ENDTzqGwhJYqhpar+mh5qku2v2XQAMOnYwFkvDl+vTsqT/UTiwR4VYiSRJvw7LHu1gwu8m8M1TM5nz1q+HnESqfa4xdTqbFZQ1xOls4d8T6RrgCq31x0qp22rdvgh4zKSYhBBhZmXBSqK8Gp/daKq9NtpJzy6x0g9JCBFx7BY7QYsxnvHoOKrKJIkkmkCuareMQ03S/e+btwEarEIS4aVmOlupp/SgCcTtVTsAmc7W0R12/kS+eWomSz/PpqLYTWxiaFerw/I8bdGh9zgK855IGFPYsuu5vQqQEgMhBGAkkXrkKdxxRhJpUXQSI5PiTI5KCCGaJ2j3oYAq4vCV7zU7nCaRkZUJWrLSqKWnvjVnsBTplVPle8vZsmgzAIMnSxIpEjS2OlvNcfyS9zkAbFFyqutoap/L9FjN+4PfZdWqVTg+tnLZFWGYFAqRUs3oiaQI9/byW4ARQN0G2ycCa9o+HCFEuKkKVLGhaAPH53UlYI3CEvRSaFH0S5YkkhAiQkX5IQBe5STozjc7miaRkZUJzLqq3VrPG5ZX6es4WKJr7fer0UFN2oBudM7o3IZRieayV/dE8lZ60VqjlKr3OJTG2h1X3c/8oAuGsOrvq3js9cexXRod0r7C8RxnaebqbIFWiqeFPAE8p5SKBhQwTin1e+B24HJTIxNChIV1e9fh1356F3cn4ISYYB5adaWfVCIJISJVtAY3+HGiK9ebHU2ThM3Iqrr/wUPAU1rr66pviwYeB34HRAEzgau01nm1HtcDeAE4BigHXgNu11r7a21zNMYfp4OBHcADWuvpLRn/G94W3Z1oYQc70NfMWgHA0OMGY9NhPsQSAMRE7S/BuECfR5Qjqt7P4J6qPQBE2ZW8tx3cxPPG8f4dM1j/yzqKNu/mhqybzQ7pkFiauTpbOH8KtNYvK6UqgQeAWOB/QC5wrdb6HVODE0KEhZUFKwHo5MmgwAlVlnKgq1QiCSEiloqzGEkkSywWT7HZ4TRJWCSRlFJjgT8Dy+vc9SQwFTgHKAGeBT4EJlY/zgp8AewGDgfSgNcBH/D36m16V2/zInABMBl4WSm1S2s9s6V+h4scl7bUrkLS0smrmt+jof029ntGWjJNa82KWcYfJEMmDzY5GtFUNdPZwGiuHRUVVe+xeb/vQUBWZws3ppwv+8Dnk79i1qxZ7H2jxEhTRDCrVTejsbam/gmg4UNr/RbwllIqFojTWu8xOyYhRPhYVbiKPrs0AZUOwPqoKAD6JEnbNCFEZLK5bPjzwG9xYqsqMjucJjF9ZKWUigPeAq4A7qx1ewLwR+B8rfXs6tsuA9YopSZorecBxwODgOOqq5OWKqXuAh5RSt2rtfYCVwJbtNY3Vu96jVLqCOB6jMqmiNZag7Hm7tesZFpjGkpu5W3Mo2BbIVa7lQGTsto2KNFstaenvVE6nYSYhHqPvaqqKgDs0hMprJiVbM68uC+zZs3iwYcepGRIEePOHNukx4Xrea0901pXABVmxyGECC8rC1Zy8gJNWeeeAMyLSiY1PhpXrYtLQggRSewJ0fgBbbFj9bjNDqdJwmEtzOeAL7TWs+rcPhqwA/tu11qvBbYDh1XfdBiwovb0NozEUDzG1LWaberue2atfRxAKRWllIqv+QJcof1KIhLs3rCbV658FYD+h2cSHRdanxRhHqXUvmokb2XDtRXSE0nUNuHc8Rz1h0nooOaFi19i2dd1i18jh8Wim/UVzpRSW5RSmxv6Mjs+IYS53D43pTs2M2xHBn5bLHZVSa7VKlPZhBARLSoxDlXddsPqC/eacYOpIyul1O+AUUB9l4NTAa/Wuu7EwLzq+2q2yavnfpqwTbxSKkZrXVnPc98O3NP4b9A+RNoUtEOltebLJ77mw/s+xFflxxHr4JSbp5odlgiRI8aBz+Pbt0JbfcdxmbcMAKtdkkjCSD5e9uwleMo8zH9vAU+f9yx3fHcbfcb0OWDbcK8+am5PpDD3rzo/24GRGKuzPdr24QghwsnqwtWcsChASWJ/AGJdRWjVib4ylU0IEcFiE7vg9lXgc7iw+8L7gl8N00ZWSqnuwFPAFK21x6w4GvAQRiPuGi5g53ueN4h1xJgUUv1+H/2HJm/7tue/9d7e0YbXJdO9vPv3GQBMmTKFl156id69ezf4+ojwVDNF7YTgSYxwjKh3m6u81wAQbbdgCwbbLDYRxhRc/cof8ZZ7yP5qOf/548s8OO8e7FG/nQrR0PkglHNua2ru6mzhTGv9VH23K6WuBsa0cThCiDCzesdijluq2djfSCKVOINQiVQiCSEiWmxCV2x+I4lkDecVUGoxM38wGkgGliilam6zApOUUn8FTgAcSqnEOtVIKRiNtKn+Pq7OflNq3VfzPaWebUobqEJCa10FVNX8XCu+sNPcxEdDA6H69hfKts3V2MCspZ5r5+oc7rj+fgDOued0Tr/1FOap75nn+b5F9i/aTs10No+n4Ry0TGcT9bHZbfzl5T9y08i7yFm7i48f+YJz7j4dCJ8kUWNUM5JIhHkS6SC+wri4c5nZgQghzBP49BtivBaKEvsCMF/FA9BXkkhCiAjm7JSE3b+dSsDit0IwABar2WEdlJkjq++AoXVuexVYCzwC7MBYZW0y8AGAUioL6AHMrd5+LnCHUiq51gouU4BSYHWtbU6u8zxTau2jQwolKdMWFTpt8RzeSi/PXPwSPo+P4ccPYdotU8M6QSgOnsB0VCeRPi/5kC2e1Qdso7WWJJJoUFznOC578gKeuuAFPn30S8afMZoeQ7ubHVaTtdPpbA05G9hrdhBCCPNorcn8bgNlcT0IWqOJsrj5pcL4O0AqkYQQkSw+vis23xoAPP54PGWFRCckmxzVwZk2stJalwEra9+mlHIDhVrrldU/vwI8oZTai5EYegaYW70yG8A3GMmiN5RSt2D0P3oAeK66mgjgReCvSql/Av8FjgXOBUJugnNO9EXER8eH+jARJv52y9/YsSqHlJQUZr4+i5TYugVqByfT3drewV5ze4wDgInBYzgp+qQD7vd6vVzA5YAkkUT9xp0xmrGnjWLhp0t46cpXuf+nO5v1OY+U6qVwp5TKBmqXSymM/9eTgKtMCUoIERZyVsyj614/m3plApCcWEAwmIwr2kZSXJTJ0QkhRPPFRyeitLEgrScQR3lxviSRDtH1QBCjEikKY1W1fX9Iaq0DSqlTgBcwKovcwGvA3bW22aKUmgo8CVwL7AQu11rPbKtfItx1hORIVUUVz7/4PACXvPR7Zid8AeHWiUuExBF18OlsNVVIADZHeJeECnMopbj0Xxew/LtVbFmyjR2rcug57ODVSOGSMFIq9NXWgirsp7N9XOfnIJAP/FC9OqsQooNaP+sD0oC8lCwAHEkK8owqJKkqF0JEsvioeAgaSaQKfxzu4ny69jQ5qEaEVRJJa310nZ89wNXVXw09ZhsHTleru80PGCu8iHqEy6CopdSXFFs/dyMBX4DO6Z0YfvwQE6ISLc0ebZy+Zpd+jcdTdMBxXDuJVLdpshA1OqUlkto3mW3Ld1C8u7jeJFI4niOtSmMJMSmkwjyJpLW+z+wYhBDhybNgEUFloSraWE0zv0snI4mUJFPZhBCRLd4RTxAjiVQedOEpLTQ5osaFVRJJtK73Kv9jdghtor6Des0PxjzTIUdlYSf42wkTIiI5qldnGxkYX+8gv6rKmNGqLAqHRYOOkOUORJtLTHaxDSjfU4KtnuOk9rnznJgr2jCyhlksxldoD2qVUFqMUqrJ88W11qWtGYsQInz4fFUkr91DmasXWkURbSljkSUFKJSm2kKIiGez2NAWY2ZFpY7DV1ZgckSNkyRSBxIugx8zPPGLUZ106XF/4pyYQ1/gp6Mk5MKZo7on0pzS73BVHjjwz6/O4ks/JNGY+CQXACV76s9LhOO502IJfTpbBKzOVkzjKX5VvY3MURWig1g97wucHs2Gbv0BSE/IZUZ+J0AqkYQQ7YO2Ghe/q3Qcfnf4ryUioyvR7pWXl7Nw4UIAjjnmmGbvRxJH4cVevTrboODoegf5GywbgNulH5JoVEKyUQBTkl9W7/2NffbNSDK10yTSZcDDwHT2r6B6GHAJcDuw1ZSohBCm2v7DF/QDClIGANClm2ZdThlKwfDuieYGJ4QQLcFmtOGoIo5gRa7JwTROkkjNIMkEczU2YKv7/iz9biWBQICknl1YmPItCysPvl95fyNDTWPthWU/816l64DjoqYnklQiicYk1FOJFI7VR7W10yTSxcANWuu3a932qVJqBfCnun0ThRAdg1q0kqCy4HH0AqAg0QU5MLpHJ5JcsjKbEKIdcBizKvw4sVQWmRxM42R0FYKPKqcTa48xOwygYyc8Qv2dV/60DoDBk7JadL/CXDWNtb2VPuDA929L6XZjO0kiiUbsq0Tas78SqaHzQbgnlyLcYcCV9dy+CHi5jWMRQoSB4vIC0jeX4nZ2RysHUaqcT8u7AJoTBqeaHZ4QQrQIFaMhCH5isVZJEqldOSPmUuJjmtz3s03IgKZxj/5sDAb/MOVKzom5KKTHfuR+qTVCEi0guno6W8DjxRYMHnB/0GNUItkdtnrvF6JG565GT43SPaURc6y0x8bawA7gCuCWOrdfXn2fEKKDyf5hBqk+yE3vBUBS9Da+2dEXgOMHp5gYmRBCtBxrrAXKIaCcUCE9kYQwVUlJCYsXLwb290OSxFD7YK+eztY9kMUZzj8fcP9P1p+Af2KzS08kcXD7eyLV31i7vuPLbEpplAptelqo25vgeuADpdRJwPzq28YBmcBZpkUlhDBN/k/fkQrsTTOaarucxQT8mgGpLnp2cZobnBBCtBB7nB3KAWVFV7ip8geIsoXvGEaSSO1USyZKQhlAhVuCZtG3ywkGg6T1TWJhpy9Y6G5425YcKIbb69DenOH8M6vjC3ifL/F4PAfc/5H7JZaVrgGkJ5Jo3L6eSPllaK1RSpkcUePaY08krfWXSqlM4C/AwOqbPwNe1FpLJZIQHYR3xw4CpaVYu3YlZtlGAHyxPSEAZQ4P+OF4mcomhGhHbPFOVK4PbbETo4Ms2VbMYX27mB1Wg2R0FYLP3P8l1hoePZHaUiQkRGongGrHu+Kn9QAMObL+fkgNPU6Et4/cL7HBkg1AZeWBndLPcP6ZKMuXwFPYouQ0Jw4uoXo6W8AfpLyoAlfn317dbuzcYEalkmpGEkmHeRIJQGu9E7jD7DiEEOao2rKFzSdPBW2cr/oBfms0lYHOAGR7jSnHxw+SqWxCiPYjKiERu78Sr8NOTBB+2ZgvSaT24lTnH4h3hldPJHGg2gO6fy6cDsAlx13JGc4Lmvy49qC9J8VqVmfbVL6aj9wvHfD+VVVVAWBzhG8pqAgP9ig7zsRY3MUVlOSXHZBEqi1czhNWwBr+BVNCCBGSqrVrjQSS1YoOBlFas7ZXf0DhsnDWU9sAACAASURBVOzh+0BX0hNjGNxN/h4XQrQfUQmdsPnceB3xoKNYsH4nnDDA7LAaJEmkEIRjJVIkTzVrbX5fgCVLjX5IxUM2dbjfv71zxBhJpC7+bvV+Drze6sbadjnNhZvGzltmfFYTklxGEmlPKRlZDU+TqC82MxJLzZnOFgmVSB2VUuq/wLVa67JGNxaiHfMXFAIQN3ky549fSrCkkL5bTmB8GaQ41rNeZ3H24NSImHYshBBNFRvfBbu/AoAqHUdubg4lFT4SYu0mR1Y/GV2FINIrkcy8gv5J+Ytt/pw7V+Xg9fhwJsaQ3icJpWUA1Z44qqep7XBv5JPyF5kW99uVwWuSSDaHFYu892GlsfOBGYuIJSa5yN2QR2l+6QHHS91jS4hWcAlwGyBJJNGh+QsLACiM8VPs34uOctLfZ0xli7HlUMpoTpBV2YQQ7YwzMQmb32jDUhV0kmgtY86mAk4ammZyZPWTJFIIvih/hViLeZVIzR3ImJHACQcbFm8FoN+oXnLFKgLUHN9NPV5rprP5PP56Hze/9FcA7NJYO+KYkbR5I20Wq9lIj5LhEZE0siiNJcTV1nT4r87Wkcl/UkIAgUKjEmktuwDwlQ0lKRiNH7C7qjh3cAZjenU2MUIhhGh5cZ2SsPuWAuDRLjqrMn7eKEkk0QI6ajKouWqSSJmjepobiGiSUI9ve7SRRKryeOu93+c1kkv1rc5WO0kgn6vwY8Z7UtE5H4Cfd35F93Jb2CeS2vN0NqVUElCzGsI6rXW+mfG0IZdS6sDlJmvR/8/emcfHVdX9/31mzUz2tXvoQrpQurEUyg5leRBFERB/8ggCiiAgqCCyiQqICCKyCyKgD4IoCkgrO4WWpbR039M2ado0afZ9Muv5/XFmkkkyaTKT2XPer1demTnn3Hu/c++dO/d87neRsi1exmg0icBTrzyR1noqAchoOhqPy4LAy1FHTmTRl+cl0DqNRqOJDTl5YzH5w9kcnkzyze2sKG9IsFWDo0UkTdp6OJV/sQeAsiMnJ9YQTUyw2vp6IvU/jytEN/ASk+0z+WrWVX3O12Q/dzXxJ7c4G4CWOjVHH+wcSRZxySCIwBMpRsZECSFEJvAI8G1U7nAArxDiL8B1UsquhBkXH3YcpE8Akt79otGkJR6/J9IBmxOfq5CxHaUAFJiqMI8PXWlXo9FoUp2cvJIeEanNl0OhoYOqpi6qGrsoLbQn2LqBaBFJk5YT6u5OJ3u37geg7EjtiZSOmP3hbC6nGxh4Hq9t/wiAWlGRluf4aCfaYk7NJHiJJdibi5JGKDoYwqD+wl0myXkQOBk4F/jY33YC8DDwO+DqBNkVLy4AmhJthEaTSAI5kVrtAnfbfKabrACMMe+AkgsTaZpGo9HEDJPZgsV5AIA690wOy10JjbB8Zz0XFybfXFaLSGFg8nkx+bxx3eY5OdcctH9J22NxsiS12LNuDz6fpGBcLiVjsiHOx00Te2wWNSN2d7tDfi99LiUuWcyGuH9vNbEn2te+vVkqDv3AgQNRXW+sSNOcSOcDF0gplwW1LRVCOICXSX8R6WMpZV2ijdBoEoWUsqc6W2smeBoXMAUJCMaYy6FYeyJpNJr0JcOxA6SPDl8pMzPWAPDxzgYuPkaLSCnNWTlXkpOTXNXZhhKZokEqClU7/PmQput8SGmLxZ8TyeVwh+z3+HMima36MqcZmkA4W2Vt+YBrXjyusxoA7EAoFa/O36fRaNIYX3s7+CururLGI/eXYO+USARjCjrAmp1gCzUajSZ2SIuL3LYKWnOnITsLAdi8PzlTIerZVYyJpgAz0onMcGwJtY3BthtPcSlcj6zyNVVAdEWkYBtSUVhLJ87JuYbK4krgbrxOyTk51ww4Jm7n4Im1NZr+5JX4cyI1dADJLxwZDBJj+iXW/hT4pRDiEillN4AQwgbc6e9LZ/YA2mVSM6oJeCF1WcHhLWaSx4D0GrCITvIn5ifYOo1Go4ktbpuZwsbNtOZOo6FFVWWraurC4fJisyRXSkQ9u4oxsZ6IRFvMSFZxJFy7ytf4k2ofUZowGzSxY0nbYzS7lTLf3d3NG62P8uXca/uMeVfsBN7FZE6ui64mOckrUiKSo70bp8PFEob/fU+E4BRJOFu44xPADcCbwD4hxHp/2zygGzgrYVbFASnllMBrIUQRMBmVSLtSStmYKLs0mnji9edDarFDR2c2JznVNGWG7UMMY3Qom0ajSW98diuFezeze+q5VLeVUjjGQKPDza76Dg6fkJto8/qgRaQEo4WJ6BA8iXux8j5qKtSNSNkCHc6WrgTC1KSUnGm7sk/fkrbHKO/4Qo3TnkiaYWDPycBsNeF2emit76CktKCnLxm9ktJRRJJSbhRClAEXAzP9zS8CL0gpHYmzLD4IIWYDTwDH92v/ELhaSrk9IYZpNHHC0+BPqp0J2V3jmOZRD4Hm2JdAyZ2JNE2j0WhijrTbyOrYh0G24PHlcZTdwluOVsrr2rWIlMq81fYUdmyJNqMP4Uxu0lmwCv5sgVC28dOKycrXaTTSlUBOJACHw4HFYul5f07ONbzKOmC5FpHSiFDXu2hd14QQ5BVnU7+vmdldZ7EwZ2FU1hsrDAaJIczwtHDHxxshxEnAJ1LKp/u1m4QQJ0kpP0qQaTFHCDEW+BCoB34MbAMEcBjwPWC5EOJwnXhbk870JtUWnNo8FgEcYltPvmk/FM88+MIajUaT4ohMOwKwejfiMJ3IVLcqIlR+oCOxhoVAz67CIBkTa7/V8siwx46Wg715+Q4AZh55CCafL8HWaGKF0dxbr/y/Bx7lm7m39el3Op1AoDqbPg/SgVDXu2he1wIi0pu7n6F5+sqe9rPyroviVqKDQai/cJdJcj4AxqESaQeT6+9L59jUH6HyIh0fyAfl500hxBPACv+YWxJhnEYTDzyBcLbMDKZ1TsALzM34NyCgaHpCbdNoNJpYY8jKAsDk3gymE8lpdoMRdmgRKbV5t+VJMn3J5YkUzuQmHMEplfn87S0AHH36YQm2RBNLhBBkZGTQ3d3NIuv/Duh3+Su86MTamuGSV6R+vCd0LuSsvCsSbM3BScdwNpTnTSgjC4HOONsSb84AftNPQAJASukQQtwP/BQtImnSGHdDPQCurGOxSDu5lgNMGtsBs28Ai/Ys12g06U1WXjEAvu4dGGwefO2Qly3YWdeeYMsGomdXYXB63lVJ54kUDsn2ND0Wolbd3iYqt+zHYBAcuXhW1NevSS5MVgHd8E7d00zKHdOnb2/nVgDMOrG2Zpjk+yu0rdjzKhNbunrak+3amW4IIf7lfymB54QQzqBuIzAX+CTuhsWXqcCag/Sv9o/RaNKWrgP7kQishpMBmH7ucYjTD/a10Gg0mvQhf9KheHmLkgNOXGO2Uu2awxSPgXVNXXS7vWQk0ZxGi0gxYLR4/ESTSCZpofbzqneUF9LMoyaTU5AZ0Xb18UsdzBlmaHXg6nYP6PO4VLXsQAJujWYoAhXaWuqT74lPfwQSEaZnkQjp5JMUtPr/C6AdCE6i7QI+A57uv1CakQ20HaS/HciKky0aTUJw1tfRkTMZM8UgXCw4cWKiTdJoNJq4UfqVb7DjgceYUgsHDl9PNXOY7jOxVnrZWZdcFdoiml0JIY4A3FLKjf73XwUuA7YAv5BSuqJnYvJwsHC2YDEiViFmweuNptAR6VP2aNownHV5vT4MBoEQgyf2+PztzQAsPHN21LYbQIcOJh9Wf3LtkCKS2wOAKYlUe01yk1us5ugt9ckXe96fdApnk1JeBiCEqAQekFKme+jaYGQLIQaEs/nJQYlsGk3a4mtswmmdot5kODBb9e+3RqMZPWQUlbB5dhbzN3QgavdBERRLdR1MCxEJ+CPwG2CjEGIq8BLwb+BCwA7cEB3zkotYhLNFKuAkQ3hFrG3w+Xw88MADvPPOO+zcuZOqqiqklNjtdsaPH88TTzzB4sWLe8Y7HA42fHQzADdccDfz8ubF1L6DEWrfvNf0UAIsSW/y7SXU0sh887mckndKn75fe/8JbMdqNmDyeRNinya1KPLnRGqta+tzzgz13V1cEP+fvHiJSEKIa4CbgLHAeuA6KeXnBxmfB9wDfB0oQCWLvkFKuXSobUkpfxm2gemDAHYM0R91FVAIMQG4Dzgbdf+2E7hMSrna3y+AX6IqxOUBHwNXSynLo22LZnQjpcTY0o67SD2s9el8hhqNZhRSdeoM5m/4guzdLVAEGS6J0QY7DiSXl3ykV+jpwDr/6wuBj6SU3xJCHI8SlNJSRNLEl9tvv5177713QHtnZyfl5eWce+65vPfeexx77LEALFu2DIfDwcSJE5k7d268ze3DSAWjwSalWojqS0ZGBgDd3QMf3vck1taeSJphEkis3dyQAp5IBonREJ6m4AtzvBDiIuBB4CpgJeq3/S0hxIxQpeaFEBbgHVR1tQuAauAQoCWsDY9OTo33BoUQ+ShR6AOUiFQPlAHNQcN+CvwQuBSoAO5CnQOHhUoCrtFEiq+9HYPbi8ekUhH4bBkJtkij0Wjij/WoI6nN+4IxLe2YhBuPNJPrE5TXJde9aaQikgAC9bVPB97wv94LFI3UqGRlWdPjZHqS60ctnCfgqSJALC64geeee65HQPrVr37FaaedxpQpUzAYDLxT/SgP//QVVr+/jTPPXsyDb1zLd4+/jyVLlgDwpS996aAhb8FE6mEQ632ZKsdqKGLtoZGR8TKgvND6ExCRji68gMUFZ0e8jXQ5FpqhCSTW7p8TKRGeRkMRJ0+kHwNPSymfBRBCXAWcA1yO8kbuz+Uo76PjpJSBGNPKcDc6GpFSfpiAzd4M7A2EE/qpCLzweyHdANwtpXzN33YJcAD4GuqhoUYTFTwNjQB0ZagqbCJTpwDTaDSjjyn5U3lvvoGLl/mwd9fRZp1Avk9QniaeSKuB24UQ7wInA1f726egbi7SklMKfpDS1dmScSIUio8++ogrr7wSgFtvvZU77riD95oeYiurABg/pYg7n/sON5//JFtWVXL92Q/z9LH/Yce6vQBMPMkbtYm/FhBGRqz2X+BcdhhVOeDVDf8mp2lPn/6AiLTZ+QaWpu0xsUOTXvSISA0dnJR9DWazOcEWxYzsfkK7U0oZXBEt4FV0JNDjDiql9Pl/9xcNst5zgU+Bx/y5EuuBvwH3SSl1TOkwEELkAmcAk1HhaxXAu1LKgyXdjpRzUV5F/0Ddy1UDj0spA0nMp6DCGN8NLCClbBVCrESdAwNEJCGEFbAGNWXHwG5NGuJtbACgK0N5IlmzkuuhrUaj0cSDqblTuX+u4JsfQUZrLW0lE8j3GvjCX6EtWYhURLoBeAH1JOoeKeVOf/sFpH8Z3iHRwkPkeL0+Lr3kHtxuNyedO49TflQYcn/aMq3c89L3uOm8x9m5oZrP3/GXc7eaWHBSWbzN1sSZwDlhsYVOrP1e00M0O5SebbLocDbN8MgtzMRkMuHxeHhl2z0UT8gb1nIpmBNpX7+uXwK/6NdWBBgZ+GDoADBzkE1MBU5D3R98CTgUeBww+7dxUIQQU6WUu4cal64IIf4XeBSVRDuYViHEVVLKv0d5k1NRDwEfBH4NHA08LIRwSSmfRwlIEPocGEtobgHujLKdmlGAu0GJSE6r8kTKzE5bEV+j0WgGZUruFFozBavLBEUOlTlgrMGIlB521XcwOTc58sVFZIWUcgMwJ0TXTUDySGQJIpwJxQeNv4+JDacW/mhE2wq1fDz473//S+2eJvLy8rj5kW9iEgJk6IlSbq6Nx9+6gR3r98LO6axfv55TTz2VTHvtoMskkuHs01idD/EknufOxOzlfM5WpppOYnHB1X36TB6/0GQ2YEjC80GTfBiEIK84k4aaVpprWxkzPnmqYPTHgMQQZp7loPETUSXjAzgHjo7QLJUP6Uq/59EX/sTNNzEMEQnYKYT4EHgG+Odoyrnjr3r7LEqA+z2wDZU64DDUg7u/CiG2SSnXR3GzBmC1lPJW//u1QojDUTmwno9wnfeiRKkA2QwULTWaAXTUqtPEZVaeSNk51oMN12g0mrQky5JFiSWXd+c1c/mHKuJinFBZhMoPdDA5d3gPOGNNxFKWvwLLBcA04H4pZRPqZucAyiU67fio6TEy3Ylzrw1ncj5SMSJRYsbdDz8DwOKL5mLLHPoGwmQ2cthRk+EoF4d9cxZQG1sDR0A6CETDIZ6fs1VUArCx4U16o2oVgXA2szk5FHvN8EmUiA0wZeKLNNSsYoLjVE4tPDdhdgzFCD2R2ocRHtWAeig0pl/7GAa/0NYA7n6ha1uBsUIIi5TSNcQ2jwAuQ4kQjwoh/g48c7BqcGnEdcCrUsrv9GtfA1wihLAD16PyTkWLGmBLv7atwPn+14HjPMY/lqD36wiBPyyyR5Qcbn5CjaattgoAn0l5IuXn6XA2jUYzOpmSNZHPp7Rg+VB5IuU53GCG8rp2zpiewiKSEGIu8B6q4spk4GmgCVXStxS4JEr2JRUnFVyTMjmREjkJi5R9+/bx2ds3AnDX9U8yq3BWROsZLWKNBiwZ6hLmcnoG9AVEpBPGXMGswln6vEghEnmszIVdACwr/yvZjbsG9CfLtVUIiQhTRApnvJTSJYT4AlgMvKqWFwb/+0cHWexj4FtCCIOU0udvmw7UDENAQkq5DrheCPETVL6e7wArhBA7gD8Df5VS1g/7Q6QWxwM/OEj/k6jQwGjyMTCjX9t0IJBgrgIlJC3GLxoJIXKAY4AnomyLZpTTVbcfO4BBiUgFBdoTSaPRjE6m5k5jZdNmGib5n9/4zJikhx0HkqdCW6SP6B8EnpVS/lQIEewSvxSVRDMtSYQn0mATlqEmWSMNZ0sEzz/yFj6fj7mLplJb8ia1jW9GtJ7gz57sn1kzMiwZoXMiQa+I9EXn/1HbmLZFIzVRpnCMelDQWNvrqJMswlEwBqH+wl0mTB4EnhdCrAY+R4VVZaLCrhBC/AWollLe4h//BHAt8AchxCOocvG3Ag+Hs1EppQf4lxBiCUpYuRd4APi1EOJl4GYpZc3B1pGCjAd2HKR/BzAhytv8PfCJEOJW4GVgIXCl/w8ppRRCPIQqpFKOEpXuAvbjFxY1mmjhaqhXIpJQ4WzFhbaE2qPRaDSJYmrhTKh4nVWHtVO6uwuPyc7kzg52HLAn2rQeIhWRjga+H6K9msGTLWoiIBKxaCRj4ym6NNa28fjtrzJuciHnfPtYlv7fSgC+8p3jRrReLRyNHixWv4gUwhPJ6VQRFSePuYpJhZPiald/9DmZOhQERKQDvSJS8PFLFkHJKCTGMD2RfGGOl1L+XQhRDPwK9du+DvgfKWUg0XIp4Asav1cIcRZKnNiAuif4A3BfONsVQhyFCtv6JtCJEpCeQeVyuhN4DSV4pBN24GA5oJxAVJ9iSSlXCSHOQ4l0P0eJRDdIKV8IGvZblHD4FJAHrECdA6MmX5UmTjS24DWYCBT3y83V4WwajWZ0MrVAOQmvKzExa3cHrdg5saGSZ7OyaO4c0rE7LkQqIjkZWD0ElBt0urqap1Q4W6TEa4Lkcrk49dxT+eQTlVbhbw+9B0BRURF3XPonrNbUc2NeXvdAok0YdUzPPx5YRjGz+7RLKXs8kda0/olKa2KrTOusTKlDcXEWAKK5KGkEo0QipXyUQcLXpJSnhGj7FDg2km0JIX6Myok0A+XZfAmwNCg0rkII8R2gMpL1pwBnCSFaB+mLSRIEKeUbwBsH6Zcogennsdi+RhPA2NKOx58PyYfEatO/nBqNZnQyNW8qAPtMJnKLTbQ2w+zOFpCSDftaEmydItIr9OvAz4UQ3/C/l0KIUtTTxleiYpkmrbnxxhv55JNPyM3N5YgjjuCDDz4A4IorrkhJAQngxJIbD9qvRabok5GhnlR2d/d9KO7x9Homma36RlQzfALhbOV714X8zg71PY8XI0ysnaxcjcp99NxBwtXqgCviZ1JcGaoiWtIfQI3mYOxu3c3S3Uu5Ys4V2Ey94WpSSmxtTrot+QC4jUInZddoNKOWwoxCsqWgXYCxFGgGg7Azu7GC9fuiHdkeGZHOrn4C/BN1M2cDPkS5un8K3BYd0zSpyHCEkrf/+QWPPPISAD975Oscf9ZhXLbjSLauqWLxeXlabNEMmxqvCoGsalnT57xxBLl6ms3GuNulSV2Kxg4MZxtMOOp/repsj1+EjwEwhKkpGGJjSjQ5A6gK8jwCQKjZ5CQpZZU/QXek5eeTFillChwejWZkPLrsZt5p2Yatu50rFt3S0+7r6MDkkXgy/Z5IZi0gaTSa0YsQginCyga66bTVAgU47MWcWfUxn+6dk2jzgAhFJCllK3CGEOJ4YB6QBayRUr4bTeOSjU/qHyazO3Yx2uE84U5VoWXjqkruv1E5q13yo8Ucf9ZhAEyePobJ0/tXktZoDs5hRf8DvEEOU/t8f5qamgjo2SaLFpE0w6dwjAp9bK7vwOv1YTQaBr3e9r9mt2W0AXfE2kRAVVoL17Mo3GpuCWAXMA71gCqYAlS+Hv1l1mhSmIoWVfFyVcVbfUQkxwHleNiRoZJqY9GaqkajGd1MNWWzwdNNvaESOIwuWwkLa7fyx32DRb3HlxHFeUgpP0aViNVEgXCEoVQMnarYVsvP/vfPOB1uFp0+i8tuOjNq6x6up4AmvQiEszkcjj7tgXxIQgiMRn0zqhk+eUVZCCHwen20NHZQWNI3D54OZ4spg7kfZHHwpNMpjRDi3OGOlVK+HktbNJpYIaWkWrpBwBpXA26vC7PRAkDDvnIA2v2eSAar1os1Gs3oZqq1EDz1VBl3MwlwWfPI9riho23IZeNBRCKSEOJhYKeU8uF+7dcCh0opb4iGccnGccU/TJnE2uFMdD6tCatwTkTU7mvhxm8+TXuLg9lHlnLPk/8PKxK83qisf7DPoLPhpDd7u98B4EDr9j7nQK0/6ZzZasTs84VcVqMJhUlAflEmTfUdHOI+jwUlCxJtUkgMyAjC2ZJTRBJCPOh/KYFfCSG6grqNwDGoynDpyqvDHCfR3liaFKXZ0YjDLxM7hGDzjv8wf9b5ADTVVGADnDYlIpl1Um2NRjPKmZY5Hjq3scVXzaGZJpydHrpsxYzvqGdroo0j8jn2+UCoJ2efAD8DhiUiCSGuRiXSnOxv2gz8Skr5X39/BvA7VJlfK/AW8IOg8sL4E3o/AZwKdKByJdwipfQEjTkFeBCYDewF7pZSPjesTxrE57W/J7NTlxwNl3UrK7jzBy9SX9PG5LISHnj+UjLslkSbpUkBFo27OWR7QDCyZpgBcDndffo9bvX11/mQNJFQWJJNU30HNTU1LFiQnCJSmhHYyQKYAwTXr3UB64G0dSvV+ZA0o4F9dRvIdOZxSPNsthd/zqodr/WISF0rP+8jImVkmhNoqUaj0SSew/OmQd37VPi6yC6y4uz04LCXMKGjIdGmAZGLSIVAqIC8NqAojPXsQ4lO5aibx0uB14QQC6SUm4HfA+cAF/q39yjwL+B4ACGEEVgC1ALHoXIp/AVwA7f6x0zxj3kSuBhYDPxJCFEjpXwrDFtZOPZHKeOJlAx4vV7uvfde7rzzaXw+HzNmzOCdd95h0qRJcbclHt5WmsEZTAwa6fqaxy0F/g+zr6jPNjY3bQYewGbNjup2NaODojE5lG+uYcXWP5O/YGPUz99oIIQMO8dRsuZEklKeCiCEeBa4XkqZHL7aGo0malQ3bGZh1TnMaFiI1+Dhc7GG7wGepiZy3lsNgCc/A9xgz9IikkajGd0U5JQy0e1mn9mMN0el7eiyFae8iLQT+B+UqBPM2cDu4a5ESvmffk23+b2TjhVC7EOV8f2WlPJ9ACHEZcBWIcSxUsrPgDOBw4DT/d5J64QQdwD3CSF+4a/ichVQIaX8iX8bW4UQJwA/Qnk2aWLEjTfeyEMPPQTAJZdcwmOPPUZWVlZCbEnGSWAkrKq+N9EmRESs7M7IOAYYPCeSxWIZ8bFP1X2uiZziEiU+Nh1oxeTzDXkOHD3hloP2x4J0CmcLIKW8LNE2aDSa2FDdvJNs52wA8h1jWIcTd1s1e557HrNbsmssFBktVLshK0d7q2s0mlFOwVTmOl3sM5tpyagDinDYSpjYvDrRlgGRi0gPAo8KIYqB9/1ti4GfMMxQtv74vYouBDKBT4EjATPQU/FNSrlNCFEFLAI+8//fGBzehhKGnkCFrq31j+lfNe4t4KGD2GJFhc8FyAb4Yv/vyGrX4WzD4ZP3t/PQQ6oK862/PY+vfWsmW1sfCe2/FkMCkzstBKQnFe0vA9DaWdunPVhECpDK50AiRIrRzNxDu3id1Rg7pyftvk+XxNpCiH8B35FStvlfD4qU8utxMkuj0USZfe37yHKqBz/FXQV0GwxsXP0shpdewQrsmO9hqk8J+Lm5+l5bo9GMcgqnMdfpZGlWJlVyB5MoostWTOn+xkRbBkQoIkkp/+wXWm6jt55xJXC1lPIv4axLCDEHJRploHIanSel3CKEmA+4pJQt/RY5AIz1vx7rf9+/n2GMyRFC2KSUDgZyC3Bn/8Yjx/9Eh7MNg7q6Or584xwArrvuOu656eEhlog9yToRjDapLJREwhGl3wf+iHT3veEMiEhWqzUt9kk6fIZUwmXbAMCW3ctYVX1vUl4/jEiMYXoWhTs+TrRCj2FtQa81Gk0asc9Rz4LubDBAWU0BheMle9YvYWZbN/U5MHdsO7X7cgEoyNcikkajGeVYMplrUtfELd51TOI4uuwlTG9P7XA2pJRPAE/4vZEcUsqOCFe1HZgP5AIXAM8LIU6O1K4ocS/K2ypANip/k2YIpJRcdtll1NXVcfjhh3PffaMzF5Ge9MeH8lalWXd0NffZ5xv27wTAK+Ls+qZJCwr94WwNB9oTbMngpIsnUnAIm5TyOwk0RaPRxJD9rk4WGDIBcBsL+PXzXrxG9Zz4g6ON3Nrt4Dm/J1KhFpE0Go2GjLWvtgAAIABJREFUGblTMctK9porAHBbcvAZk+P6OOIamlLK+hEu70LlWAL4QghxNHA98HfAIoTI6+eNNAaVSBv//4X9VjkmqC/wf0yIMW2DeCEhpXQCzsB7IcTwP9Ao54EHHmDp0qVYrVb+9re/YbPZorJeLcpoQmGxqkuY0+HmqPE/6/mu1mcvBf5MbuaEBFqnSUWOnnAL3sM/A16grVEkpRcSpGdOJCHE+8DX+3sgCyFygFellKclxrLY4v98w0InHdekIh6fB9ncG17utmST4zBj9LnptELu5HZMXQa6ZTYGIDNb50TSaDQaS+F0ZlXvYEOGwJTnw9NioNM+tqff50vcfV1EIpIQYgyq3O5ioARVWa0HKeVI6mobUPmIvkBVWVsMvOLf7gygFBX+hv//bUKIEillnb/tDJRL/JagMV/qt40zgtYRd9ZW3Z2oTQ+bBaW3Dzmm/+dYuWIXP/uZyoP04zvOxJP7GmurXouKPZGqnYHPkQr7XBM+JQVKpHQ6PSzfdDvZuer9tmr19XfLOkxeb8Ls06Qm48aNA6C2thYppX6QED9OAULNHjOAE+NrSlxpYfhhfCO5v9JoEsKBzlqm1fQtrLJ5WhFzy2t4Y6GBSyYcxYbpN2L4k3q2m5Gpq7NpNBoNhYcyd7eTDRlWHNktmFsK6Mwc19Nd29ZNdnZiilZFOjd/DiXm3AXUEGEOAyHEvcB/gSpUyNi3UDeRZ0kpW4UQzwAPCiGaUMLQI8Cn/spsAG+jxKK/CiF+isp/dDfwmN+bCOBJ4FohxG+BPwOnAd8AzonE5mgwHIEmFQj+HJWVldx23ZH4fCqc7Z5bn0mqiddg+1yLS6nNcTN+RVHREzQ0NFCzv7VHRHK7lXBksYzY2VIzylhbdTculwdQubWampooLCxMsFUDERGEs4kkDGcDEELMDXp7mBBibNB7I6oabHV8rYorpwa9ngz8BnWfFXjYtQi4FJWvUaNJOarrt3BIY2YfiXjzN07jz/UvMXZKGVPPe4Ulq/YBOwCw2PVvt0aj0VBUxlynyvNaa93DJArotPeKSOPzohPxEwmRXqVPAE6UUq4b4fZLgL8A41DJNTegBKR3/P0/AnwoTyQrqqraDwILSym9Qogvo6qxfQp0As8DPw8aUyGEOAf4PSpMbh/wXSnlWyO0XePH5XJx/vnn09TUxFFHHcXjjz8+LAFJCziaUITjBbe26m6KxphpaIDa/a1Mn6Xmnm6XEpFMFv3QXhM+FquJvHw7Lc1dvL/mFxw6ozciOlkeAhjwYcAX9jJJyjrUwyhJb8XXYBzAdXG1KI5IKT8MvBZC/Bz4sZTyxaAhrwshNgJXou5xNJqUYl/DJsY2Z9EWlFziuIIz2Ja3gesX/gyA5pZuADxGMBiS5yGkRqPRJIzCacxxKr+YcsMmJrGAzsyxQywUHyIVkfbSL4QtEqSUVwzR3w1c4/8bbMweBoar9R+zDFgQgYl9WL/3t2Rlxz6ZVbJMUkIRSvj540Pvs2bNGvLy7fzy4ZPZWvdA1Lcbap8kswgV6TFM5s8UL8LZBwtKb2fGoavZtvk1aqt706gERCSzWYtImsiYOGEqLc2byONcFpSekWhzBiCQiDCdgMMdH0emoO4pdqPyHAbnWnQBdVLK0RKXugi4KkT7auBPcbZFo4kK+5p2cmhnNsEJvXJdhbx83ss971tb1ERJWgxxtk6j0WiSlLxDmOAzUOD1Um9TDtnBnkiJJFIR6QbgN0KI70spK6Noj4bwJ9GxWO9w2bG1lmceUQ9Rb77ry4ybkBf1bUDqiSupZm84jFTkjOa+WVt1N7b8A4DyRAoQCGfTIpJmOIQ6p8eN+4hNmzaxf//+BFg0NOmUWNv/MAhUTsTRzl7ge8BP+7V/19+n0aQcnbsr8BkPB8CHxICgrbG7z5j2NifZgMGqf7c1Go0GAIMRUTCVud2NfGSrAyHxmlK7OtvfATuwSwjRhUqA3YOUsmCkhiUj8yb9lJycYRdRSTqi7eHkdrv57nnH4vH4+NrXvsbNP3gpqfIgpTvrK+9Kye1Gc5Y4b/IdHDk7g5f4DGfLxJ5z/KOsPwD/YUz+PAwJrFygSQ1CndOB5No1NTVDjg3Q0d49aF+0MQqJMcwcR+GOTwRCiDJUjqAS+l0upJS/SohR8eVHwCtCiLOBlf62hUAZcH7CrNJoRoCxoh63ORuABoOkxCdo7ycidXW4yQZMGVpE0mg0mh6KyphTU8OyTC+unA5oSI6ccSPxRBp1bNxzX1zC2aLBvMl39LyOldjw7JPLWbNmDTm5Nq65pYwNe9LX+0aTnKyvvAtfxiYAtpV/3HOuV9auAKDDtRWYlSjzkp7g64SmL+PGqTwd/UWkg+2ztrY24NexNCutEUJ8D5XjsAGopW/RDgmkvYgkpVwqhJgOXA3M9Df/B3hSSqk9kTQpSd5eBy6zqiBUY/JR4jIM8ERydqnn0Tqptkaj0QRROI25lSpddH3GPoqYnFh7/ER0pZZSjsrEjnMOuXlYnkiJ8hCJpw1SSv7xwioAHvzdI5y+cGB6q0htiObENhmOhSY6hDov1lfexbgJuYAOZ4sE/f0YHK9lPQDbd78/6H5KpAiXTuFsQdwO3CalvC/RhiQSv1h0a6Lt0GiigcPjYGKNj6bxyhOp1uhjHuBoc+FxeXsKYLi7VFVMW6Y5UaZqNBpN8lFYxhynCwNQbdmd2iISgBBiGnAZMA24XkpZ53e/rpJSbo6WgclEJJ5IsZ5kxGMSGOoz7Nq1i/377sRsNnPRRRdF1Z5YfKZ4eGZpYstgx23seCUi1R1ox+PxYjIZcftLtGsRSRMpWVnqWt/V5erTnizeW2kqIuUD/0i0EYlGCHEi8H1gKnChlLJaCPFtoEJKuSKx1mk04bGvfheldVB7iPJEajJKXEgsCNqbuskfmwmA16mqR2bmWBJmq0aj0SQdhYeSKSXTPdBkrxl6fJyISEQSQpwM/Bf4GDgJuA2oA+YBVwAXRMvAVCQegkU0JzLV+5p55P53Of6kMr789XkD8hoFf4bAdt99910AFi1axK6G36vggzgTzj7QwlF6Mm/yHXgneTGZHsLj8VBivYJJkyaRb+8EPmR80fGJNlGTotjsaiLT1ekaYmRiMBC+KJQCWav/AZwJPJloQxKFEOJ84K/AC8ARgNXflYvyTjpoNVqNJtmoX/UB+RJcFuWJ5DYJWg2SYl9fEQmnFzCSk2MdfGUajUYz2igqA2BeVzv/taW4iAT8BrhdSvmgEKI9qP194NqRm5WcDDecbfOuX/S8jnVkt8k78qrHf7jnLd5+cwtvvr6R1/+xhjt+dQ5TpxWFHBv4bP96VT0snnuEISo2RELwfh4KHWGfvhiNRiZOnEhlZSVVVVVMmjQJl0tN/K1Wa8LOT01fZk/7RaJNCIt9U5YALyO8RUnjfRRMmnoi7QTuEkIcC2xkYNGOhxNiVXy5HbhKSvkXIcQ3g9o/9vdpNClF59rV5AoTXpMdgGMPK6Z9VRPFPqjc00bpYYV0u72Y/D/VeXmpkXtUo9Fo4oK9EDJyWdDt5OXsRnwGT0+XTOAcJ9K59RzgWyHa64DQ6sMoIp6TpZFuq7KyknffVl46GRkZrFpZyQVfeZqbb76ZW2+9lYyMgT/mXq+XVSvVvfy3vvFrZk9bNCIbkplwhCpN/Akcn6JiSWUlfLLqQfLGvkNtvYr4aOn4BFXoSZNoUuW7FLimZmWp0IuOjo5h297R7oyRVQMREYhIIvlFpCuBDuBk/18wEhgNItIM4KMQ7a1AXpxtSXlW/mc3zk4PJ15UljbVYz+u/ph/7PgHtx97O0W2kd1yVzV2sbW2jRljsiktsGMwRH8fiW0VuM3K28iHZFZpLnvLO6Hew7ZdTZzEFFq63GRIte28XO2JpNFoND0IAYVlLDiwFikkTbbani5vczMkqHJ8pCJSCzAOqOjXvgCoHpFFmrjy8MMP4/P5OP3003nqqae49tprWbp0KXfddRcvvvgiTz75JIsXL+6zzNq1a2lubiYnJ4ejjz46QZanNoOJf6ky0U4WAvtx5oxdrF61B+k6htnTfkpmRjWwioljz6SfM4NGc1AC38HMzC8D0NnZOWyxXlVn+01sDOtHOnoiSSmnJNqGJKAWOBSo7Nd+ArA77takMF6Pj9VLKgE44qxSsvLTw8Plha0vsLx6OceNP45vzPhGxOupbnHw1cdW0OyvipZlNXHEIfnc9dXZHFKYGRVbpZTk7WzCZRkHQJeA+cVZyIlZ+OpbqK3pBKCx04nNf3nKyNKJtTUajaYPRWWMq15NidHWR0QyFSXOdydSEekl4D4hxIWop4MGIcTxwAPAX6JlXLISz4l+8OQleLtDTWqGY2NHu5OnnnoMgPP/Xwldvue57w9HcfrZmfzm7jfZuXMnp59+Ot+/5kR+8MNTMBpVRo0X/q68PI5aOI7te+4O6/NoFKNZLIqmgBZYxpZdCcC6jf9k864uaus/B6CpfRkwsrxI8fAsjNX5EMr20XzuhUNN03MAtLbVh3Xt1YwcIYQFmALsklJ6hhqfZjwN/EEIcTnq/mq8EGIR6v5KJ/cLA5ej99TpanOljYjU6lKVSJu6myJeh9Pj5QcvrGHhlhXMbd/Ho/O+TofTw0c76rngyU/56xULmTl25E+3V374ErntXmqKVT6kLiGZXJiJvayQDWtbcLa66HZ7ae7s9UTKsGsRSaPRaPpQOA0BzBd29tlrhxweDyIVkW4FHgP2AkZgi///34C0VxUSNYkItd3tO0Ln6hjswK5atYdt2+o47bQy3nlnO52dLqZOLeTk46Zg8MdVfunMGZx03GQeuP89XnppDX98bDkV5TZeeOEFioqK2Lj2dADO++q1zJ42eAqswWwbKTOmD/8+OlY2aCIn3HN2OEwYq25QO1rHMnvaLyjf9hIAxx19FbOnnX/Q7Q5FPM6hWOXsCmW7zg82PLKtSjR3dLmTUjgSyLDD05I9nE0IYQceAS71N00HdgshHgGqpZTxcfNKLL9B5UB/D7CjQtucwANSykcSaViq4ezqKyKlC50u5b3T4mwZ0Of0eLEYDUOG7t2zZCvr97Zw69al5Dg7ueTnV1E1aQY/eXk922rbueiPn/HsZUdzRGl+xHauqF7B+y/ey4VAwxjl2eQwSEoL7ORN9bEByPYKrv3bWuraHJzpvzxZM/WvlEaj0fShUCXXXtDtZIMthUUkKaUL+J4Q4i7gcCALWCulLI+mcelEsogZ1//wFZqaurjn7rewWtXhv+TShQPi4LOyrPzil1/iyCMncccdS3j77beZNWsyN998OsuXLwNg2rTNSfO5BiMcwWkoRvpZI7Ul2fdxMjB+XC4A5eWf89bb17B9+3ZMJhNnnHFGWPsv1DFKh/0fze9BNEiFfWr3V2dzu71s3HQrFotx0LGJ2L8GfBjwhb1MknMvqsrrKcCbQe3vAr8gXrGCCURKKYF7hBD3o8LasoAtUsqOxFqWejiDPJEc7ekT1tzuVvVsmrub+7SvqmziG3/8lJ+cMZ1rTysbdPlX11bzl0/3YHN3k+NUgpSnspLZxyzk71cu4vLnV/HFnmYufnolL155LPMn9abi6nZ7+eunezhpejEz/A9vQrGiegU/fP+H/Hyn2u8Tss3UAz6LAZvFCIU2ALKl4IMtBzBJOAvVpj2RNBqNph/FMwGY37iXP9h6m73uxN3XjUjul1JWAVVRsiWtGWySEc/JVHe3m6amrp73TqeHvDwbX/3q3EGX+cq5c5g+Yww/uuEVdu9u5KabXgNgzJhspkwtjLnNoUiFCWgoUtXuZCbwvXK7NgEvUVPTyofLlJZ99NETqam9P6z1JeoYJZvIE2tS4fOqCn+/A2DihJvIz4/8iXwsSMecSMDXgIuklJ8JIYKN3QxMS5BNcUUI8WfgeillO8rLO9CeCTwipbw8YcalGK6uYBEpfTyROlxKT+wvIi3bXoeU8MyKCq48aRoWk2HAsq1dbm7790YAbpiTDUtUu2v3LgBy7Wb+esVCvv/XL1he3sBt/97I69eegNH/oPF3b2/n6eUVLN/ZwF8uXxjSPp/0cduK28jocDF9v78x2w4usPi9jDKyzBjNBrxuHz88dgolOVaa/rEHk8WA0TzQbo1GoxnVFM+A7PHMaN+PN793Lu/qTlzEf0Qikv8mZ1DS9SanfOfdZGUlR9WISDwmWlsdABiNgnfevZYPl+3k8DnjsNkO/tRnxowS/v3q9/jjkyt4+ulPcLt9HHf8lLSpdKJJXQLnvNOlqmK1tnazdKmad518yuBPYpMNLTAmJ2azAbfbR2dnZ9KJSEYpMcrwRKFwxyeAYlSV1/5kQvIrYFHiUuBnQHu/dhtwCZCW91exINgTqStNRCSvz0uXR00g+oez7WlU7c1dbj7YXsdZs8cOWP7vq6vodHmZMSabb5Z6CWg8zt29dXLsFhMPXTSfUx5Yxub9bfzzi71cdHQp22vb+fPHlQDsC3og2Z/dLbtp6m7itD1mhPRizXPTZhkHLsjMUffQQghyimw013Ty9ZljsdhM/JM9ZGRqLySNRqMZgBBQdgbmNc9zmDGbtf5mW7YlYSZF6onU/27ajAprywPeH5FFSYzR68PkTY5wgF1bbxvQNtTBbPffYOTkZFA6JptvX7RAdQzjM5lMBn587Ul8+ayZvPqfzXzrogVJsy80o5dps+7peZ2b+xStra2sX68KRF5+2WOUlZWF/K4kM8GfSZNYMjMfpaWlhY6O5IskSlNPpNXAOai8SNArHH0X+DQhFsUJIUQOIPx/2UKI7qBuI/AlQgtsmkFwdvWGsDlanQm0JHp0uHuvRc3Ovp5Ie4OEnX+t2TdARPJ4fTz/yR4ALj9hMt7ty3v6XLv7Fv4rzLJy/eIy7l6ylfvf2s7Zc8Zxx2ub8PrUV7KuffD9ua5+HQAnV2UB3WSN66ZRqups+QW9yc2zCzJorumkta6LnCIVn2HVIpJGo9GEpuxMWPM88zqaeSHRthB5TqTz+rcJIQzAE8CukRqVrEyd8XNyckZerSIchpoAhzPh/Ozz/wUgP882xMjBmV5Wwk9/XBLx8hpNrCgtLWXjRuWmP336dMrKUscTKZhUE73SlWmz7iErK4uWlhY6OzsTbc4A0lREuhX4rxDiMNT9yfX+18cBJyfUstjTghLNJLAjRL8E7oyrRSmOs66653VXc1ufPq/bR3tTN3lj7PE2a0QEi0gt3f08kYJEpPe31dHc6SI/s/cp9btbD1Dd4iDfbuar8yfQ+sH+nj73/v34HA4Mtt77w0sWTeZvK6vY3dDJxU+vZGN1K1aTAafHR4fTQ5fLg90ycBqxrm4dwic5dLtypssa76TFk48ASop693dOoRKUPnxxB0Z/6F2GTqqt0Wg0oZl6ChjMzG2tT7QlQBQL9UgpfUKIB4FlwG+jtd7RTjS9EjKyzgNeYOy4mX3WG6tJayjb9QRZEw1CnVtFBY6e1ycsytPnWgqTLN5YmZmqolAyeiKlI1LKFUKI+ahwro3AmcAaYJGUcmNCjYs9p6K8kN4HzgeC67e7gD1Syv2hFtSExlVdDigPGEdrd5++D1/aztaPazjvJ0cwviwvxNLJSSAfEkC3t5sudxd2s51Wh5sWv+fV1OJMdtd38p8N+7lk0eSe8X9eUQnAt44pJcNspKG6V2RDSlyVlWTMmtXTZDEZuO2cWVzx/Go2VrcCcP3pZTzy3k4cbi91bU4mFw2cRqyvX8/0/WDudGKw+LAVunA02rEDE8dl9YwrWziGyk0NdDQ58XqUZ3v+2MyR7iKNRqNJT6xZMPl45uz4sKepqbup51413kRb8p8Wg3VqokRjYyMAhYVDJ8SOhsikJ/GaUAwlEAznvAk1Zty4Xi/BU08+NHzDNElDslw7zCY1cdq59XEmlrwNJI/AlaaeSEgpdwHfS7Qd8UZK+SGAEGIKUOWv0qYZAW11ewmISO1B1dmklGzYUI8Z2LKlIaVEpHZX31RZLc4W7GZ7TyhbUZaFi485hLve2MLrK3fz7WMPQQjBpupWPq9swmQQfPvYyQC4AyKSECAlzt27+4hIAKfNLOHEsiKWlzcwtTiT754wlb+v2suexi7q2p1MLuo7eWnubqayrZJv7lKiUNbYbmRmAaY6NTU4ZHxvRbfxh+Zx6a+Px+300tbgoKvdxdgpuVHbVxqNRpN2lJ1F7rYPet5mGDMOMji2RJpY+8H+Tahf6nOA50dqlCY2BESkgoKCPu1DTYoSNWlKlomkJrrE6riO94tIWVlWjjxiUky2oRld2O0qFKSzqzcpb/D5m0hBSUgfBhleXjoR5vh44M8FNCyklG1Dj0p5TgM6gH8ENwohLgTsUkp9jzUc2vbTHPS9dXUbkT6JMAieWVGBt8ONGcHOqlZOT6CZ4dLh7mB866HMOnAcH095hWZnM+Ozxvck1S4tsPPV+eN59uXl3P7U/Wyv/jIz77+XZ/0Jsb80Zxxjc9WkIyAiZcyeTfemTbh27R6wPSEE950/l0feL+fS4yZjMRkoybb6RaTuAeM31G8AYEG5EfCQNd5Jbe5JWFCFWAoKB6ZTMFuNFE7IIjH1fjUajSaFKDsT5aytsJsTF5IdqdfQgn7vfUA98BPgoJXbNENTsfmWIcdMmX3vsMf2rHeHynlu6q0aHNG2h0vAxki3lWxFXkN9nmjuL41isPNmqH191PwJAHzl7FlkmAT4km/CrEkdpsy+l6LidUAV2fnnMm3WZYk2qQ9p5IkUyAU0HIyxNCRJuAX4foj2OuAp9IO64bF9KW1kBTUY6O5080VtGw8s2cp1UokZHS2plXC73dXOgurTmdQ6i7rsPTR3q+TaVU29IlJRlpULDbVYfR7qlq3g2/e8S70/EfZlx08GwNfVhbdZLZt54gl0b9qEs2KgiAQwPs/GvV+f2/O+JFuJUHVtA/fdO7tXktchmVLvRQKZY538teYQBOATYMkYDV9hjUajiRGF0yDvEGBToi2JOLH2qdE2RNPLUOJLpGM94nLgc6ZO/1pU1jfa0IJRfIh0P190yf+x8MS7mDBhAhZLbzJRfdw0kVCx+RaEV02q9pT/jYrNoXIdKxJx3TRIiSHMiKdwx8eJ4PuJycBvgOforca2CFX2frR8kUuBihDte/x9muGwbQkOeXYf1XH3vjau/ccaMr2ip83Z4R64bBLT4e4g26kKJBd0jQ0SkVTy/9JCFV52rEmFveV1NtPQ5gBh4OzDx7KgVC3r3q/Saxmys7HNmweAa8s6ePMWOPlmsA0e4lecbQVCV2hbVrmKuRXqOpNR6MOU4WNV5zQWAj6LASHEgGU0Go1GM0yEgLLTSVkRSZM8hDNB3lupyrlK50dUbG4fYnQvkXoUDbVcpBMvLQpoQhE4L6rL+7ZrDzJNpNhsqtx0lyP0RDORonu6eCIFcgEBCCF+DvxYSvli0JDXhRAbgSsZHV44dcBcoLJf+zygMe7WpCLdrVCxHLfv/D4i0k0vfEKLx8hpBdnQ7lGNDm9CTIyUDlcHuY7xIGBS4zhanKpCWyCc7ZACFdowrrWWTsDs8/LaxYcxeXopORnmnvUEQtnMEyZgnagq7rr21iA/eRzRth8ufE5NVkJQkhMQkfqGs22rbabFt4v5fhEpa0wnbmGmxjcRAJNNeyFpNBrNiJl2GvCQep3Ah4OR5kRayzDdz6WUR0SyDc3wCGcS0+1eAexk+uFXMGX2hQmxIR7bSwaBQAsXikjCLodaV7jri2eIZjxs0MSPTH9OpK6uXhFJe2vGlEXAVSHaVwN/irMtieJF4GEhRDvwkb/tZOAPwEsJsyqV2Pku+NzgU145LqMDi9cGvnqmFk/ju3NKWbtHeRma3RKvT2I0pIaHTHtnJ1ahQvGy3ONoduwEgsLZCpWIFJzfqEx0YQsSkABcARGpIBPz699AGCTSJ3A7LFi2vIrvixdweMqwLzwaYeibXCAQzlbfzxPpgQ+WYRAu5vr96DLHOvGOXUBGm5pqZGRb0Gg0Gs0IKT2u93VTBWTNSYgZkXoivQn8ANhCr8v5scBs4AnAMchymgQSTnW2VCZZJ3nDsSvdxIZofp5Q64r3Pk2346M5OL2eSL0JeoPPgYR6IqVPOFswe1GV2X7ar/27/r7RwB2osL73AL+7DAbgL8CtCbIptdi2lG4hMHqV2OKx1GJxTOGo8fDzq09i9Ru90YJ2CdVNXZQWpUZp+a5WN9bAG0MGXXtbcM3zsb9F3XYfUmDH53D0hKsBuGtqsM3pO8nw+PvNbV8g2vZjyRuPswmch/w/LA3PU3vnL2jdZWbMHbdTcPHFfZYtpYYMnH1yIrV1u1m+dzVlQG6XRFiM2AtdiGnH8zXjOByrG5kwJjX2sUaj0SQ15qCKbIVTE2ZGpCJSMfCwlPKO4EYhxC+BSVLKy0dsmSbqjBYRKRR7N/Sfk4TPpLm/jer6QqHjS8Mj+DgEH59gTN7UClfQJAeT5v6WiVPuAT7DaJ2fdOJ0uoSz9eNHwCtCiLOBlf62hUAZcH7CrIojUkoXcJEQ4g5UCJsD2Cil3JNYy1IErxvK36HClIHZpzxfck01uJmC7G7DZDTQ0dwrfggEFfvaUkZEcje6+rzP/byV6hMc+CRkmA0UZ1txbt3aZ4ynpmbAeno8kcytYMnGctRinG+/x0ct3ZyatYDW3bUAtC1Z0ldE2vU+R//n69xlOpFft1/X21zXgcjYw7yt6hqTOR6EEShdxIzWTNbRSFaeFY1Go9GkB5HOWS8EjgrR/n8ot3MtIiUZUkqampoAKCgoGHRcrMSRWDOYgDDcfhj6s6fqvhkt6OOjiSZ7N/wUV+tqADo7OxNszUCUJ1J4FQiT3RNJSrlUCDEduBqY6W/+D/CklHK0eCIBIKXcAQyezV0TmgObwNnKruzep7MFhiYOAO3tTrw+Lx1NfXP5VO1vh/nj4mxoZPj2e/q8z6sw9KnMJoTAuasxiAE5AAAgAElEQVRvlTV3Te2A9bir/Z5ImV4oOwtr1gza336Pio0rKCmaR5Y8AIBj7Vo8jY2YAg8fVz2DQHKKcT03dblweXxYTAYqGjox2vYwb7dfRCrwp++aeDTdn6jt27L6htRpNBqNJnWJVERyAMcD/VLYcjzQPXB4erBv0x1kZ6Xmk5T2Dicej7r5cOx/kL3N6fVjrgWE0Uk0xMF0Yzj7RDM8Jk3/E/ABHR0diTZlAGnqiYRfLBpVYVtCiAeBO6SUnf7XgyKl/HGczEpNajcCsCfzEACcBhd5Jh8HALPLzu7W3bT7RSQJCKC2LvlE4sEwNPT9Dpu7C6nZWQVAaYE/B1SFX0QyGsHrxV0bSkRSnkiWTA/MPAeLTYVHHFYlsW/aoBa3evE6jXS8/wF5F14AXU2w4y0AikUrY2mivsPJhDwbWw7UYKOZmfv8ItJYJxTPAnsBXe1K/7XpnEgajUaTNkQqIj0EPCGEOAL43N92DMoD6a5oGJaMTDz8LnJychJtRkRUVFQAD5ORkcH0Y36faHM0gzDaBI9wGEoc0ftOoffD4IQrsGVmqklZUopIaZITSQgxF9gkpfT5Xw+KlHJDnMyKNwsAc9DrwUi+A5hs1Kqyx/uNeYwHnAYvRrsFGsHmzmJ93QY6mpU3tt3egaMri+aG1Hn2aelQDzKNzgN4rWPotI/D+uF7IGZT6q/MFvBEss2fj+OLLwaEs/m6u/H60xuYswxQdgZtLvXVGtcM4MN+9JHYXStoWG+j/Y1/KhFp879VwnI/cw27qWvrZkKejR2NVczaKzF7wVxgx5LthdJj8Hp8NNcokc6uRSSNRqNJGyISkaSUvxFC7AauB/7X37wVuExK+XK0jNNEj/75kCKdaMYqL1CsvCf0hDp9GCr/UTxyVmlSm3DPC0e9qnzUXL+tZ9mk8fSSEhGuKJSEIhKwDhiLKm2/jl4Hkf5IIC1rhEspTw31WhMBfk+kOo9JiUhCYslRYrDdnc2mvVsp9h6HwEepbxXbOZWOVudBVpg8tHW7sbkzwQBmUYuXMXRljmXiqn/CwtkcEqjMtnsXEmibcwa+jTsx9RORAkm3DSYfhunHQUYuFblOClEZ3AGKrrkW43oLDes/pfOLDfi6ujBs+LvqNNvB3cXhhgrq/BXa9rTu5ysVfi+kiSAEULqIjcv20d7UjS3bzPiyvBjvIY1Go9HEi4jz+PrFolElGNWuu43OFA1nK19ZCUCOzUnNmhsjPvA1a27seR3NJNDB640mkdg47ogHel7Hyq50Jnj/JYqkmegfBH1uDU4ynEMAkxveB/6Ny5efEudUijIFqA96rdEMyeaGzQMbpYQDm/ACzd2qoEI3RuzF+QBkuLPZsm8vxUCmsZkso3q45upwI6VEiL7aZWerkyWPbeCwE8Zz+EkTYvlx/OZLbnt1EzkZZm7+nxkD7FlR3oDFlwMGGD/GwI4WJyaDldzmNsZ0NlJaaEd6PLgq99CWM4UvKieRP/PbLNj4GNLtRpiVs1sglM2c6UXM+jIAO7urkLlQ0go7J5qYecwxUGrD/NRy3J0mOl97luy9K0EYYNG18NFvmSsq2NvuxOeT1HfV9uZDylGiVVf+Uax6VlXCO/ar07DYdOkQjUajSRcivqILIfKAC4CpwANSyiZ/eNsBKWV1tAwcjcRkArX9ReAV8nNtB92GntgOvg+0uDQ84rlv0uU8ThbRRNOXrKwsIEkTa+PDQJiJtcMcHw+Cq46N1gpkQoh/DXeslPLrsbQlVfis5rOe1/Vd9Sr0tGUPONv4/+ydeXxU1d3/32f2zJJJJmQlCYRVdnBpBRdww12rVtsHf7VaH1sX+ujzILYuVazUajf1kZZuVhFFbV0e6lpXUFEBoyCVNQGykH2ZyUwmmfX8/jgz2QhkIWRCct+vFy/mnnvuvd+7zOSez/kulaYkdCElmLRKPa7RKmm2MWrCX6vEJbuuBqtOFRsxhaGhOUhal0nC/V/VUVvq5euPDgyKiLS72seajSq/0bzxaZw+Kb3T+vd3VDEOJxLIG5fBZztryGjOo9mWwxnlX5LvupxQeTkyFMKflQtAizUdpCRcU4NxtDqHUPFOIJZUe/IFABQ1FuEfK1jwlWTNaVFOC3hIyZmF47gUGgp9eNc8juMEYNwCmHQefPgrZuj28oWnhYp6Lzd+/Bm59RDVCWwZfrBn8dm6EMHWCOn5Do6bd2wkLtfQ0NDQ6B39EpFieQveBTzAWOCvQANwOZAPXDNA9g0psmb/YlByIoXDYV544QXWrVtHbW0t9fX1LFiwgPvuuw+DoX+6XzycLXvsNw47YNUGs53pKEZ0/NzTdTrWRIxjleFynYfLeQw3/CV1gJYTSeOo4+nwWQCXxdo+j7WdAKQAvRabhjvXNAe4Nfb5oU0PsfKClYhYKNve9ALMtWrCLCAgI78Ag6ghLC2k+/IAsOvrsOkb1ecolDT4DxKRGqtU1bNm9+CEu+2q9rZ9fvitnZw6YRQ6nfJGklKyfk85BXoHAGkFo/GUFZLRnIfPnsPCks8Y7TQT2KY8fyIZKrF4yKT6h6qq2kWkrz8BwJiRCk7VVuQu4o1zdbxwOrjtghJvCSmWFOwXfZuGwqfwlUSRc0DM/C5kTiMi9KThRZbvoOEv93POrgqiAkq+NZZppgPUpFzAjk+VR9JpV01sOw8NDQ0NjeFBfz2Rfgc8JaW8Qwjh7dD+BrDmyM0amUQiEdasWcMDDzzAnj2dC999/PHH7N69m2eeeQajse+V1brmROrIsTCA7a+4dbTP7Vi4dhoaGv3DZlWJYJt9nsN+1xMhvuulRN9HUaiv/TUGBynldfHPQoiHUakCbpRSRmJteuAPQFNiLBx6GFPHtX3+6MBHvLb3NS6OJdXel5yBqUrlBxJmHUlp+Vh1u2mKZJHerEQkh74Oq84NgE0KSuv9HJ+f2ukYcRGpxRsiHIpgMB7dlFy7q9pfp7+uaOK1bZVcMiunbTng9YKwIaJhXBPGEdq6HmrAY89l3P4Gwps3EdxbDEA4NQvCENGZieiMhCoqlRQJhPbuAMA4YToAkWiEYncxEb0gKTMbd3MlpU2lzEqfhfWyxegfepJIQE/t1y6iuq8JPPIWwaJsdMEA5wSWYQwE8ZsEj35LcPXECBTDhrKzQMLEkzLJnqDlQtLQ0NAYbvRXRDoJ+FE37QdQCTKHJb3NidSfAUVLSwtXXXUVr732GgCpTguLvjWDvBwnLa0hHnz8I/7+97/jri7kTw9dhNlk6NOxGhpibtvBLQM2GOqPgNLfkLChJtYMNXtGKr15XrV7pdFfrEmxkJhAmEgkil6vGzLemoPliSSEuAVYivrbvhX4sZRy0+G3AiHEd4HngLVSym/1+cAjlx8Ap8YFJAApZUQI8TvgE9S9OCoIIX4K/BJ4TEp5W6zNAvwW+C5gBv4F3CylrD5advSGatG5iN1Dmx7iZJlDOrDPbMEcVp5ITkME/64yLDTRRBZpzcrzxq6rxapTnki2qKCk7uCQ1caq9rZmdxBnetJROhtF3BMp32WltMHPb9/exXnTsjAZdKzbVUNmWIla5qAHY3Y2lowo7IH6FCWMuf/+D3RWJZ6FbK42/7aQ0U6oKpZcO9RKqLoeMGCcOR+AMm8ZwWgQi97C3Jy5vLznZUqaVGSpsNiwzxqHZ9M+6r+2wNf/6GCxESNBfKkZ/OySIAdyfCyp2Y0/4qSiVtkx97LxR/GKaWhoaGgkiv6KSAGgu7iuSbQnyBx2HK1wtqamJi655BLWr1+PxWLh3nvvZfHixTgcjrY+3zznTS6//HLeXl/M8r/6+Otf/9qnY8Q9kcZMu5Ls4wdmUH2kg6mhMhg7Emo3/XeiTRjR9Ob6a6k8NfpLslHX9jnobcVhN3f7zKV/45HBNAsAnYyik33MidTH/kKI76A8j28ENgK3Af8SQkyWUtYcZruxwG+Aj/p0QA1QP1nHAbu6tB9He/GsAUcIEZ8c/KrLqkeAC4ErUbLEClRY3SlHy5beUF0ebPs82ZjKnqCHW8IeHjAZ2ScDpMZEpHlfvU3J/71BdPqPYBQYpBKG7fp6rLFwNiOCvbWdRaRQMIK3obVtudkd6JWI9PymUv5vywH++P9OIMXat5L2u2Mi0r0XTeWnL2+jpN7Pb97ehS8Q5p9bKjg+0AKAIexBZzZjy1QhYsKQQkRnwPveexhHK8+loKH9/TFotBOurFILVV8R8qntjFO+AahQNoDxKeMZmzwWgNKm0rbtXT/9NYGlt6LPyqc008BzwQ24ktP4aeUOthsn8Pvpyyk3LUYAWX4PB6JKnEobbcfhsvTpGmhoaGhoHBv0d3z1T+BeIcRVsWUphMgHHgZeGhDLRgg+n4+zzz6bzZs343A4eO211zj99NMP6nf++eezdu1azj33XJ588kmWLFnClClTen2cw4WzJQpNgNEYDHoa4GvP4dAmEQJNHCklev1KIpEIluPuIT0nJ2G2JIj/Af4ipXwSQAhxI0pQ+AHwUHcbxEKvngXuA05D5fLpNR2KdowHfj0Ci3Y8CTwhhBgPxD2+vgn8NLZuwBFC2FH37Abgng7tTuB6YJGU8v1Y23XADiHEyVLKz7rb32Aw/viMts/X7Tdw1xgzOwwBvpOThfCVsDByNgA2fwPodJiCnSMBHfpajCKIUfgJSSs11Z1FJHe1Hzo47vncrfSGP3+0l721zby3o4YrTsjt9fn4g2FKG5Sn0ez8FG49awI/W/s1f/5wb1ufgli1NiGb4LOVOJNNtOqbsURsuI+bR9r2DwmVKPGnNWoCwoDKixSqUiJSZNfHhFtVWJ4xV9m3x63SJ0xImUB+cj4AJd72HPeWqdMoeP1dAP708d18WKzDaQjxQDTIRFnCzoYaRHYUHYJRkQg7DUpEGj1ZC2PT0NDQGK70V0RaArwI1ABJwHogG/gUuHtgTBu69GXQGR8AHWqblWu+YPPmzbicFp5/7CKmWF4BDhaRAOakvMkFC8bzxrpifrL4Up745YW9tqOm7EsA9HWvULup60SjxnCk4+B7uAolvREYhuu5DzUSKfYcLYQQ2Gw2mpqahlyFtiMMZ3N0KR8ekFJ2yh4shDChsqj8Mt4mpYwKId4F5h7mMPcCNVLKJ4QQp/XFvm6KdvyFEVC0owu3A1Wo96x4SatK4NeosLKjwe+B16WU7woh7unQfgJgRN0TAKSUO4UQpahn4CARSQhhRoW9xXF07TMQvBdLeg+Q4s7ndJmCOet13rFZIRrGFFbhVIawH8e5C8kalUxFWfv2MisN6vdh0zXijlhpbOgsErlj+ZDiNDcG6YlQJEppvdpub13fkvEX1fiQEtJsJkbZzXz3G/n8/fNy9tR4OX96NleekEvZE9XUBUEKN7x1P6kTTqLY6iLHOwHbmRfB9g/VznQ6WlrbfxuCRjuhShXO1vzhBwCYslMwpKocUEWNyhNpQsoExjhUQu7SplKklHT5nWBLzRYAPGEf1cJEJs2IgKr2NgojBuCAfyIAoyd1zjGloaGhoTF86JeIJKX0AOcIIU4FZgJ2oFBK+d5AGjdU6c9g6VDb/PPmEwF44MHfcs73b+5xH79a8Z+8OWMGr76/hzLD9zj++ON7dXxP66tANePm3kH6N07tk+0DgTaQH3yO1Wvel+/XsXqOw5H+3ouhLj7Z7XaampqGXIU2HRIdfRSR2vuXd1l1P7CsS9soQA90zX1TjQqtOojYO8H1wOw+GdbOiC/aIaWMAr8CfiWESI61HbWE2rHcVcejcl12JQsISindXdqrOXT+yztRXmhHFUG7uLGn5TTuSPktY2rqeC3vZJ4YZcUSUgKGIdyC7eS52BoaICYiiWiQ8rFTyKj/HKuuEXdkNOHmMP5gGGss32RDVWfRuKsnUjiqvHwMuvbX6JJ6P+Go+o4V1fTt92JXLKn2pEyluRn1Ol65eR4y9hngmdgupUGF4aVWbafRWkWOdwItmROx2u1EfT50eWMItrSl1CJkdBCu3K3OY4tKvG2f13674+FsE1InkOvIRSDwhXw0tDaQltTuvV7XUkeptz3M7WPzaK5o3UeesZgdQHYoQHMkFbc3CSFg9CTNE0lDQ0NjuNInEUkIMRdIk1K+BiCl/Djmcn0HYBVC/B8q6ebg1EM9xtm1axeFhYUYDAauuuqqnjcApk2bxqJFi3j22We55557eOONN3q1XaLD2RI9UNTEhmOH/nj6DdT+NAafoX5/LHrlWVC++ZfkhkZ32ycxOZGOyBMpF+go0hzx32whhANYDdwgpazrqf8hGJFFO7oihDAAC1AhfWtibTlAk5RywNRMIUQe8BhwjpSyd/FaPfNLlBgYx8HBouURc87UzLbP7kgO1nASGCE5Mo2XLv4tv3lLzWkawi3Y5p5M0oYP2/ontTZQFrBwvDlZ5UUKgS0KpQ1+jstSeS8bK9X33mvw4whbaW5s/4qEo2G+/c9vo9PpePHiF9EJJfLsrW2/NcW1ffNcjOdDmpzV7rhl0HdOgRUKGEEH0qREpJRolCazerfzNUUYd8nFNK55DgqmdtouaLITcbuJVu/DVxIG9NjPv1ytiwTbkmgHNybz7IbNjJ81hSK5nVJvaScRKe6FFOerpAyuaN3HVNM2dgBZAT/lYZXwfFSeA7O175WENTQ0NDSODfrqiXQvsA54DUAIMQPlbr4K2IGqGlLBwTOaGt3w3HPPAbBw4UJGjRrV6+2WLVvGCy+8wJtvvsmnn37K3LmHiyyAcDiM260mEo+GiDQUBoGHGsQdLdu0PDtDg47XOdFCpcbwxBYbCPlbQgetS+QzJ/qRWFu09/f2wrulDogAmV3aM1HhVl0ZjwpBe7VDCIwOQAgRBiZLKYt7OOaILNrRESHEGOAtVPieGXgHJfj9JLZ84wAe7gQgA/iiwz3TA6cLIRYD5wImIURKF2+kQz0DxCYR2xSXruFQA4XFqO+0vKtlPunGvaxzZzLZF8ASBQRYXA6MeXlY09pDq8ytjbTsqgS7C1u8QpsU7K9rF5HcsRxJ5a6tTKmZi9fdLiJV+iop9qhHudZfS6ZNfUU6Ckcl9c2EItE2L6Ke2FWtBKi4JxLAq8WvUt9Sz7XTrwUgHLUqEcmsNNrUsfPxlanKu76qekbdcgvRYJDwgsvhxfbbFU5SHkHel1cTCeiJmmBdRhMXAvub9hORERxGB+WFPlqbQ0xuPp4i63ZKmkqYk9FeBe/Lmi872bw/yQ6NYDXVAMlk6UwcyP4RNMLoyVoom4aGhsZwpq8i0mzgZx2WvwtsklLeACCEKKN7t3iNLkgpefbZZwFYtGhRn7adMGECl112Gf/4xz/44IMPehSR4gISQGrqwP1hb/zkv4ChUf0qbktXjpZthzre0T6uRt+JD/R7umcaGgCp8/6307Iz/XPYVYt+9NWkf+PbCbLqYHRRiS7aR0+kPvSXUgaFEIXAWcD/AQghdLHlFd1sshOY0aVtOcoT5VbagokOi1a0Q3kGfQ7MAuo7tL+CmrQbSN7j4Hv2JOpePoy6ZyHUPX8JQAgxGSVwfTrAthwRe1pPZZ5jFW83ZnDi3nr0Me+g5BNnIoQgKT0dUEKNJdCI4atSODsNa0xEskcFu6q8nDc9i2hU0lgd80B07mJKzVwa61rajlXmbX+Uq/xVHUSkdk+kUERS2uBnfLq9V/bvrursiRSKhrjvk/sIRUOcNeYscu25hHRqX7qkmIh01s/xPrcEAG9tE4a0NHKWL2ff1lqg/b0vZFUiUuOr7wCwaZzgd5/eTXlLJXmOPHVc21S89coZLT04GqydK7RBu4h0QuYJFFYXUm0RRKWgUq+E9qxTbufA35OBVi2UrRsikQih0MGTERpDC5PJhE531AphamgMG/o61k2lc36E+cCbHZY3A3lHatRI4PPPP6eoqIikpCQuvfTSPm8/caJKXFgZS5Z4OOKhbMnJyRiNA+de3HWwpaExWHQnCGkikcZA0PU5MofVQGroJdamH+FsfT7M74BVQojPUZXCbgNsxKqECSGeBg5IKe+MhUP9u+PGQgg3gJSyU/th6K5oRxYjpGhHjNOAeTERr2P7fqD7eMp+IqX0cvA9awbq4/dMCPEE8DshRAPQBDwOfJrIymxdMZvC+KMuigInUk46L28qYw6AjJIyV+X+sWZlA6oKmaW1kcySeuRFU7Hqldhik4LVn+3nhtMLCHmCRMOSsAhT5dgHQNAXIhqV6HSis4jUXMWs9FlAZxEJoLjG1ysRyeMPUdWkBJxJmap/ha+CUFQJDvs8+0iLjELq1Pub0VEPxhRS7Fl4zcoTqbnVQiQURm804G9SScAFESR6QkaVZLxlrxKfvhivnqsVW1YwNnksABMj7VqirSUVUmgLcwNoCbewo34HAFdMvILC6kI8OjcXBh+kQrcWqCCNseyta0XoBDkTNREpjpSSqqqqThO6GkMXnU5HQUEBJpMp0aZoaAxp+ioiVQMFQFmscsvxdE6g6EDNWmn0wJo1KkfopZdeit3eu5mqjuTESk1XVFT02DfR+ZA0hj9HS8A5lFAZb9eEI42jjdWiBm41Xz1J4yeF3fYZroK6lPIFIUQ68HOUmLMFOE9KGZ9Mygf6FlN3+OPFi3acgvLEsQNfSCnfPfyWwwodKqSsK13zWA0W/426xy+hwun+BRy+CsggM2aMjpL9sG3f2VjyguzeXs4cXBgirdjnngyAOT0bHTuIYoBoA9ZWSUO9HpuuBoAUoafO18LTn5ZwXqoTALelDr/JQ5QIOqmnpSmILcV8kIgESigojiXTPi7Lwc4qL0W1Phb2wv7dNeq2jk5JwhH7veko4JQ2lTKxJhcAY9BLkiUASbkkm5IJmloIixAGaaR59xaSp52Iv1p9PVP0FTRG8gjpzJ2OV5I1hnm6SXwSfY/9TfsByGoeS9zXSt+UBNl0SqL977p/E5ZhMpIymJczDwBfpJZKsrEZfegAY5UT8JIxxoHJovljx4kLSBkZGVit1qMW4qlx5ESjUSoqKqisrCQ/P1+7Vxoah6Gvv/JvAA8JIX4CfAvwAx91WD8T6CnnwYjH6/Xy/PPPA3D11Vf3ax99EZEaGtRMlcvl6texjjU0YWH40NO97Dh41+67xkDQVRByjWkCipGZF5A6747EGNUNun7kROprfwAp5Qq6D19DSrmgh22v7fMB1XYbgA392XYY8DbK4+uHsWUphLCjUgX0rpLGEdD1nsY8zG6J/RuSZDTvp4RpNFgnsuSL5/ki9xSwutDJEIZYvklhMJBk8NEcTqE21UtBGVTu9ZLtiFU60yvd7k/rixk9OR+AJssB/vNfYUKpTZijqewr8zA9JYNyX3ue8LiIVOcL0tQaRifg7CmZ7KzyUlzTO+/F9sps7ROKHUWk/U37aaqcAIA+7MYuo2DPQAhBisVJs9mNszWdHVvf55nqVZxe8k0gh7RkH42NENC177co28AZ+xdjKUli2n9M5C9FfwQgyZ1KC6riXMgNQuooaSpBSokQoi2UbU7mHFwWF06zE0/Ag85cgzAo+1tL1TXU8iG1E4lE2gQkbSL32CA9PZ2KigrC4fCARm9oaAw3+ioi/Qx4GeVi7gO+L6UMdlj/A9QLUK8QQtwJXI4qF9wCfAL8REq5q0MfC/BbVP6ltlmwDjOhxHImrATOiNm1CrhTShnu0GcByjV/GirOf7mU8qne2jpQtLS0cOmll1JVVUV2djYLF/Zmnupg4iLSgQMHeuzbkydSXwbf3c2493fw3tPsvSYK9J2+eEQMh+vb8Ry050ljIOj6nBi8XwDg8w1YUawBQUc/qrPR93i2wUQI8b9AkZTyf7u0LwYmSClvS4xlg8rtwFtCiO2ABVWdbSIq0fl/JNKwoYq58G1E3nEEzSmcUldKbtjI3qkz0Jk65zWZPc9O2e5G9o0KwlcQKGrAeqISkWRrhPG5Vorr/Ly7sZxJ6EhzV3POl5JPT3LTYkulcEcd02dkdOuJFA9ly3NZmZqT3KmtJ+KV2SZlOaC8EEy2gzyRvBWNgJmodGOPSrClA5BqScVrbsDZms4fD+zi89AmchomkUwOrtxkaISwLomIzoA+GuarcWmkRCxEkZxruBzniXaK3cWE3zJATESSUUgOpuERtdS11JFuTW8XkTLmIIRgnHMcX9Z8icFajBASgzBQV6x8mXInaSJSnHgOJKvVmmBLNHpLPIwtEoloIpKGxmHok4gUK9t7uhDCCfiklJEuXa4knrmwd8wHfo/KpWQAHgTeFkJMlVLGp3AeAS6M7duDmhF9GTgFQAihB15HVQqZB2QDT6PC6u6K9SmI9fkjcDUqSeRfhRCVUsp/9cHeIyIUCnHllVfywQcf4HA4WLt2bb9jbkePVqkRKisriUajh00C15OIdKShGEcrlGOohYgcCyLEsWDjQKJ5Ig08Q+17l2jS1v4E2DYEcyL1Q0TqY/8EcAVwSTftnwA/RXnoDGuklGVCiFnAd2gP6XsCeFZK2XLYjUco4aLd2FyV+Oy5NCWPJSn2mJucnQfusxctZDbwyD83w4t7sOxvwji7GZ2IEpU6bpk7jiWvfkV2sBlwMLZC5Zy0+9202GDXPjdSysOKSOPT7W15kIprfG2ePIcj7ok0PTUCT54HZgcls85sW1/qLcVb1wyYCek8OKJRsKtk3qmWVLwmJYRFgyoPUThgUesmTkD3dQvRKISMdvQBN/ty0pkTq3NYtqOR71/7fQItYf66+kMArE4Tfk+QAjmJLdRS0lRCWlIaW2u2qmuYMRuAAmcBX9Z8yXHjKtnXDPn68TQ3BhACsiY4e7hjIw8tLOrYQbtXGhq9o19By7G8Bd21N/RxP+d1XBZCXItKqHkC8GFMrLoeWCSlfD/W5zpghxDi5Fhix4XAVODsmHfSFiHEz4CHhRDLYp5SNwL7pJRLYofaIYQ4FRXrf1RFpPjAVkrJ4l+8y+tv7sRi0vPcQ+cwIbSaxk9W92u/pnAEIUExFCgAACAASURBVCAcDlNXV0dGRsYh+8ZFJHvw66My0D7UoFMb1GsMJtpzeGRo4lH32Gw2YAh6Ig1PESkNNVnUlSZg1CDbMugIIYyoymgXSSmfBZ5NsEnHDKmWFnzAgWlnkb57EwD2rO49YrInzaYqZS1ZbklLjQlrkg9fKJl52SksTtmM03MCAWBiuRKIzAGVELm6upkqXx0t4XYtr8ofE5FioWvj022MHWVFJ8AbCFPrDZCRbDmk3VLKNk+kqeY6iATBX0+puz0zRIWvAp87AIDfGA9nU55IKeYUGmLJtUe1qvPVh5QnlHXsJCyOHfg9QUJmO16zm1ZbOsRFpO0NSCmpK1XHt7vMpOc52Le1jrzoeLawgRVbVnBS1kl4Q16SDElMTp0MwDjnOAAOtGwHIC+qlh1pFoym7lJ6aWhoaGgMJ4Za5rv49EVcjDoBMAJtSTWllDuFEKXAXOCz2P/bOoa3oYShlajQtS9jfbom5vwX8Gh3RgghzKjQuTiO/pwMtA/MVq9ezXNvrkCv1/PSK//kggsu6O8u28jIeInq6moqKioOKyLFcyJlT/sWqfPuP+Lj9pahMCj1fPzjRJswZHGe+ni37cfCNevO9kPZ3Z2PXsftO253qGtyrNObe3os3PfBJP4sxAsfDDVPJBGNIqJ9y3HU1/4JoAg4j4NzMJ0P7B18cwYXKWUoFsKv0UeyJqVRthdkwSy+aGrGBiSndh9CND5lPB9MEly8SeLea8U6040vlEyLL8QVmR5e3+9AEiWppRYp2kUkS0jy9u6vAZBRE0IXpK6ljmAk2MkTyWzQk++ysr/eT1Gt75Aikscf4sM9tTT6Q+gE5OlU9bSAgMpW9dkgDIRlGF9zFHTQZHF38kRyWVyUmNVX48QmO59FoljjIpIziSS78izassDE86P1nBlur8LmbwpSf6CZ2jIlIqXnOXBmqGuWL1UOpsLqQgqrVUGBmekzMejUsKHAWQBAMKoyWmSEVeLv+PYaGr1lwYIFzJ49m0cf7XZIdhBPPfUUt912m1btTkMjwQwZEUkIoUOJOhs6lAPOAoJSyq6/FNWxdfE+1d2spxd9koUQSd24iN9J56pzR8TevXu55RaVk/K+++4bEAEJVF6kuIg0e/bsbvuEw2G2bdsGaNXZNDoz3ESDQwlD3XGo9cPtmvREf0WzkXCd4ueor1J/joaaJ9Iw5XfAilhFuPdjbWcBSxgBoWwxfg/8RAjxnx3zOmocnrwzZrF5bxnNVS1knDaf5q8aMSd1n8+kwFnA3bN1XLwpgq/CjGV6PZDPvi21pFapkDBDqB59NETksoWYNyhvbmckyq/e24AuEyIto9EnlSF0Yar91W0i0rhYKNv4dDv76/0U1/iYN76zE92OyibuemUbW8rcSAnoWpmQnoLJVwRAmcGIBOxGO3mOPHY07KA1ZAQzNNg8sZxIauLwsomX4d77dyiGaDiNCa06jFE1B2p1mkhyqGuwcVQ6tSml5NZPpKMcXrq9nroyZXvGGAdJDpViYXSkgNXnr2Zj5UY2Vm1kr3svV066stM17EhKQHlGOdOTenW/NDQGg8rKSpYsWcLnn39OUVER//Vf/9VrsUpDQ+PwDBkRCfXiNB04NdGGAL9EvczGcQDlh+h7WMLhMFdffTVer5dTTz2Vu+66a0AMBCUiffnll4es0BYOh/ne977Hhg0bMBqNnOj8FM/Hewbs+MOBvni09LT9SBhYDxXi1/pQIoh2X3pHf6/NcPXY6o5RJc8C64acJ9JwDGeTUv4t5gl8N6qQB8B+4CYp5dMJM2xwOQklnC0UQmyDTmN+pJSXJ8SqIYxpXAGZx4/H8PQBgq0R0gOSZsBk7f4VN82Shj8nha/GNjBzP5jctWCFHZ9UolJ1grNJzTtO+PEd7P/8JgBckRAhXR1mIMeWS1WwCWGqp9RTwQG3moscn67CX8dn2HlvZw3FtZ1/Nz4pquNHqwvxBpQ+OCYzgMf1S3LTvwEetW2JUdmdn5zPGMcYGoq3E9Arh/h9WY2YPRLsSkSaljaNexf+lNUffoo3ms64lpgnkD6C0awnya5EpNaIgyRDEma/g2aayZ/qonR7A2XbG2iOhcqNynNgiIWieWpbuDhjLrMzZvOjWT9qs9/X2MrbT3zNcfOyMOlMbZ5ISc1OgmgiksbQIhAIkJ6ezj333MMjjzySaHM0NIYVQ0JEEkKsAC4CTpdSdhRrqgCTECKlizdSZmxdvM83uuwys8O6+P+Z3fRp6i5RpZQyAAQ62NeHs+nMgw8+yGeffUZycjLPPPMMev3AxYofrkJbXEB6/vnnMRqNvPjii8y7pLt8pRpd6e8AeSQNrPvK0RJyRkIo2lBkJAlzolSFingqtx3yvBPx7A1HEQlASrkSWBnzRmqRUo40FzA38FKijTiWsJ9+Ojq9jvR8B5XFHiqLVFotc1L3r7hCCCakTOCdOZuZuV+SteN9bLd9F0+jxLNzK96Qk+yqjZTlGpiSM5rqsWq7JMzkjvJTC1w2YxZ/3FQB1PN/275GykxSrEZcNuXJMyGeXLtDhba1Ww5w+z+2EopIvlHg4tHvzOaLhve486MAhXUbaNJPIpl2EWmMLYf85HyMu8xEDEqcabE3IDy0iUgAtlQzCIhIEznNWQSBkCWAEKLNs8gSsjNz1Ex8m1sBmHb6aEq3N1BR5CYaUb8LGWOSiUZUyKu3rpVoJIpO3zkgfNu6ciqLPARbIoydNZbdjbsB0HlVyJ4WzjZ8WLBgATNmzECv17Nq1SpMJhPLly9n0aJFLF68mBdffJHMzEwef/xxzj//fADWr1/P0qVL2bp1Ky6Xi+9///ssX74cg0E9083Nzdx00028/PLLOBwObr/99oOOGwgEuPvuu3nuuedwu91Mnz6dhx9+mAULFvT5HMaOHctjjz0GwN/+9rf+XwwNDY2DSKiIJJQ68zhwGbBASrmvS5dCVJW1s4i9VAkhJgP5wKexPp8CdwshMqSUNbG2c1CJOLd36NM1huycDvs4Knz11Vc88MADAPzhD39gzJgxA7r/uIjUnSfSU0891UlAumSECkgDOdjty0BxJA2yhwraNdc4GthiITHNLcpzYKiIlbpoFH0fcxzphn5OpDaklLWJtiERSCmvS7QNxwIyVjodwD5/AaBEkMpiT5soYj6EJxLALbNv4daaW2h4x4vL6yUz9DanXnkRrLyVT9Znklqr58szVFiYZ3Ya5m2AMDDGGaa2CSa4xpCfPJqyUDFv7dwJZDI+3d426Tg+Q3kVFdUoEWnVJ/u5758qn9KFM7L57VWzsBj1vLRPvfZGZZTNzaWcBZTGyoqPkXryk8eQsd9J7RiI4McilAiELb3tXPR6HTanmWZ3gOTmAuoAv7EJoC2cLSlsZ5Ijl2CrKqqcP9WF3WXG16DmS21OE9ZkEzIq0Rt1REJRmupbSekgCkkp2fO5es1urGqm4NRxSkSSEGoUgNQ8kXqBlJKWUNfi1oNDklHfp4nxVatWcccdd7Bp0yZeeOEFbrrpJl555RUuu+wy7rrrLh555BG+973vUVpaSmNjIxdccAHXXnstTz/9NDt37uSGG27AYrGwbNkyAJYuXcr69etZu3YtGRkZ3HXXXXzxxRedUnIsXryY7du38/zzz5OTk8Mrr7zCeeedx7Zt25g4ceJAXxINDY1+kmhPpN8Di4BLAa8QIp7DyCOlbJFSeoQQTwC/E0I0oIShx4FPY5XZAN5GiUWrhRB3oPIfLQd+H/MoAvgjsFgI8Svgb8CZwFXAhUfrxMLhMD/4wQ8Ih8NceumlLFq06Ij32XWQnOpXuTpK/v32QeteWfU6ALd/bw7zXe/g+fidQU+k3NNg61gb9B9r9g5n4s+Wdk80Bpquv1uZhs+AtbTI5CEjIMHw9EQSQmQCv0FNHGUAnUY7UsphW/YplhdyKXAJYALeA+7vzltaA/xfbmn7nDRjOgAZBZ1roJgO4YkEcFLWSTx18TO8se5bnPuJZNtzT+ObamV6i46USvWYGbLdEA5gPHEmhi+8hI0OTDsbIQfyHHl8I28cZXs/JChU8ZJ4KJv6rDyRKj2tPPbuHh55V3nsXDtvLPdeNBWdTj3a+zztc6ebwo2cBey3OoEIY1qayQ8m0+RJpRbwmhtVPqQkF+g753tyuCw0uwNI1xXgCeHW1RGVUSz2dk+kCfop7EPlSjKY9ORPTWP7x2oSMj1fXTuhEzjTk2ioaMZT09JJRKre34S3XolY0YikQE4G3sISthEJSBCQPErLC98TLaEIU+89qoWhD8n2n5+L1dT7od+sWbO45557ALjzzjt56KGHGDVqFDfccAMA9957LytXruSrr77i1VdfJS8vjxUrViCE4LjjjqOiooKf/OQn3Hvvvfj9fp544gmeeeYZzjrrLECJVLm5uW3HKy0t5cknn6S0tLRtovz222/nrbfe4sknn+TBBx8cqEuhoaFxhCRaRLop9v+6Lu3XAU/FPv83EEV5IplRVdVujneUUkaEEBehqrF9isofsAq4t0OffUKIC4FHgFtR+Y3+U0p51H7Ff/Ob31BYWEhKSgorV648opC4OF0HMBM8r8Ov11Hb6uq0LhwO8/FXKn3E5Tf9HueJJ/Zpv4PFSPbsGYicPUeaz2k4cCxXmNMYmnR9dqLFqkrSkMuJFJXoon0UkfrYPwE8hfI0fgCoBIa8wQPI3cAyVCXZFtS7SgbwgwTaNGRp3rSx7bOIpQnIGJPcqc/hPJEAJqVOInVGBjWfVjGlJMK+n6zEUp2JAPZkQ4HJD5VfkesaS5V0Aw7G7NXzSQ7k2nOZlpnPS3tBZ1Dhc3HhCCDFamKU3USdL9gmIC0+YwJLFk5S74PBZjBaKa0r51vbbqPcuYuNWWsBKDWZINLCmMZy0j4vpsaskn17kuKV2Q6uxutIs1C110NThfI29BndVDZXoktSy0khO1mRfPZRinOU8hbKn+o6SEQCSMmw0lDRjLvGzxjaC7IUba6hIxkteQCMCqrBvj3VjME4bHXeEcnMmTPbPuv1etLS0pgxo73CX2amyhRSU1PDjh07mDt3bqfxzimnnILP56O8vJzGxkaCwSDf/OY329a7XC4mT57ctrxt2zYikQiTJk3qZEcgENCKA2loDDESKiJJKXtUVqSUrcAtsX+H6lPCweFqXfusA+b00cR+UVxc3Oa6+eijj5KdnX1UjnOocLbNmzfT1NSEy+VizpyeT7l53c2HXW9b8Id+bTeQdPegHsqunjiU3X3Z35Gee8ft+/sl7M6GRKvCA0Fvnreerv9wuA4aiSX+HGaP3gc8P+Sqs+lkFJ3sYzhbH/sngFOB06SUW3rsOfy4BrhZSvknACHE2cDrsSptQ/7GDTbpN98MP/1ppzZnehJmq4GAX4We9iQiAaRn5dCcU0LLAQsFlVFA0GCHl07R8VgwBGWfkTduLnssn2CL5jG+OhmnwYHT7CTLqpznU00HuNWwhvGjftNp3+PS7dT5lJfSf589iVvPjoXilBfC3xYSOfkWIuVmsnwFpDfnszr7Q0psQWojyvksv/JrPNvTCZjV4NlndmM/lIjkUh5AoYAKk/Ibvezz7CMQUaKOPZICXuW95Ih5C+Uel4oQIGVnEcmZoUQmT227E1w0KtlTqJKNO9IseOtbSfZloBd6JutnxK6/lg+pNyQZ9Wz/+bkJO3ZfMBo7e7wJITq1xQWj6ACFSvt8PvR6PYWFhQflkLXb7YfYSkNDIxFoY62jwBNPPEEgEOCMM87gmmuuOWrHiYtI1dVVeN67EUMsAeLrqz4HYP6MVFo/OnKPjMEUi/rCQNvVFzGtJ8FpqF6zYwHt2mkMNP0VnAFsNhWi4vf7iUaj6HS6HrbQOALK6BLCNoLIB96IL0gp3xVCSCCHflaHHc6Ibr6HQggyxyZTul0JN4cLZ2vD6mL0CW4OzDqLP+l3sTFXUuuEDIONlKIolG0kb9ZVVKS4mdgA9mAq399ghKsh26YmCIXBw42G16jX3Qi0TxoumJzO5/sbuP3cydy8YEL7Mfetg2iYA0VvYvefAoBe6hlXP5sX0zYDQVIjUewNDVRs2kjrxKsBaDY1khuNgq17T6SO+E1N7HXvJRAEyMUatuOpU6JQcswTyWw1MuOMXKr3NTF6cmrbtvG8Rp4af1tbZZEbvyeI2Wpg1pl5fPyPPYRqdbz8/16m/IMA26jU8iH1EiFEn0LKjhWmTJnCSy+9hJSyTVzasGEDDoeD3NxcXC4XRqORjRs3kp+fD0BjYyO7d+9m/nxVFXHOnDlEIhFqamo47bTTEnYuGhoaPTP8fsUSTDQaZc2aNQDceOONAxLGdijS09PR6/VEIhG8k+9piyte/zP1w3veojuwLfjhUTt+ohlssWEwjhcf7GpCytDnSISJrmj3u3cM5DXvLR1nP/1+/5CZDR2m4Wy3AQ8JIX4kpdyfaGMGGQPQ2qUtBBi76atxCDI6iEhmay8unTUNozXK2JMnct3Or/kgWQdCxyTnOGAnlG4kPWkUXnszNEDAnMKp79fQ9M47ZM2fC0CTXodfCNKadgDtA9+bF0zgmrljsZu7vGrXFwOwz1dOSku7IHT67hNw1XzEdcmSAzOMeCssEIniSx4FxD2RJNi7Fhtu90SK02L0sq9pHx6/j/HkogsZcVcpUSgezgZw2lWdw4aAtjxI7pp2T6R4Qu1xs9NJH6O8luoP+BiXMouiBpUwXBORRjY333wzjz76KD/+8Y9ZvHgxu3bt4r777uN//ud/0Ol02O12rr/+epYuXUpaWhoZGRncfffdnSZmJk2axNVXX80111zDb3/7W+bMmUNtbS3vvfceM2fO5MIL+57KdssW5djq8/mora1ly5YtmEwmpk6dOmDnrqExEtFEpAFmw4YNlJSU4HA4uPjii4/qsXQ6HdnZ2ZSXl1NRUUFubi5er5fPPlM5x88555yjevxEM5jhZ4PFsWLnUKHjMzAcRUWNziTimsdnVaWU+Hy+oSMiSdmPcLYhLyK9AFiBYiGEHyWitCGldCXEqsFBAE8JIQId2izAH4UQbQm5pJSXD7plxxAZY2N5kQSYzL0I3bHG8qx4ypjkruCRVjO/mnwy3552DXz5DjTXoHOXYnaqfZWnpzBlF1T+9E7G/uMf2HUmfNEgVQY94yq3HrT7gwQkaBeRDHomVKVD3EzjeCaXpTK7tR4Kg1TpnQAE7BkQBZ+pMRbOln7QLruKSH5jE/s8+yjzlFHAQnToqSn1Aj0nv3bGRCRvfSuRSBQBFH+hRKSJJ2aSNlr9BvoaA7Q2h9rC3uJhcBojk9GjR/PGG2+wdOlSZs2ahcvl4vrrr29LzA3w61//Gp/Px8UXX4zD4WDJkiV4PJ5O+3nyySdZvnw5S5Ys4cCBA4waNYqTTz6Ziy66qF92dUzrUVhYyJo1axgzZgz79+/v1/40NDQUmog0wDz77LMAXHHFFSQlDewf1O4GUDk5OW0iEsC6desIh8OMHz+egoKCHrcfLgyFvE2Djea1NLLPfTBIhOfPUMRmewafzzekkmsPY0+kkcqqbtqeGXQrjnGyxzkxWvQ4XBaErhee4HERqVylAZhLEq9c9k/VljMbyjdD2UaSU9X7XJPdRfO0sdi+3k/5Lbcw8SL40g5VBkO3IlK31BcBoN9pISmSQUgPlmgTrbpkXjvlJHIq/sXc3aCL6JBAWMREG5Mbh7/7cDa7y9xpucXo5d91VQQiAVqNzVhDyYRj+ZKSRx3+3dSWYsJg0hEORvFUt1DydT2tvhBJDiOjJ6eg0+twuCx4G1ppqPDRFBeRtJxIw4p169Yd1Nad8CI7TE7Mnz+fTZs2HXKfdrud1atXs3r16ra2pUuXdupjNBq5//77uf/++7vdx7XXXsu11157eOMPYZ+GhsbAoYlIfSDwwa0EbKZDrg+GIvx9jXrnu2pKLYF3fzSgx+94s8xn/wmAnJzLgPbk2u+++y7Q2QspbsdA3Oz4cY8m/bluh9pmOD/gA3lfj1V68zwO9PdwuDMY3/FjDZvNhs/nG1LJtXXIPnsW6YZ4sTMpZXdCyohASnldom0YDljsRq6+/2SMpl4mEI6LSN5K9X/a+PZ1ed9UItKHv2ZUUg5R5pLamkXd/1uC87FfENy3j5tXwT3/oadKr4faHRAOgMF88HHitHrAX4f3gJkZnyWz4RQVGnbS2M/4qHQhOtNJPHbpu4yZtJgTViwjZHYiIyrcp9nsxt4c7TaczWQxYLYZCDSrpOJ+o5dIRDnyRS2hNp8+nUFgcx7GPlTOHme6lfoDPl76dSHBFrXPyd/MQhfLvZk22oa3oZWKPW5am9XOtXA2DQ0NjZHDSB5/9hnzGY9hTk4+5Pq31q6l0fsE2dnZLFyy9qDKAkeDrhXa3nnnHQDOPvvstj7H2qDwWLBXEyY0hivas63o+Dtkt9uprq4eUp5IIhpF18eKOGKAKugcTYQQ44HrgPHArVLKGiHE+UCplPLrxFqncSzQk0jSCWuXsuGuDiJSwXz4dAXUF5HnqOKt3H9xYvn5lKzTc9KKv9H43zfgLDvAA89E2HORDUQz1GyHnMNUxa0vptVt4MAnqbTalBhkTtZxnOFffCQWkNqSxajmXPImn47reAe1jRaoj4lCunAsJ9LB4WygQtoCzT5MFj3pyWlUNVcBYLLpQUWykZyW1CsPLWdGEvUHfARbwiQ5jMw+O59ZZ+a1rU8bbWf/tnr2bqlTl9Fpwtib8EENjQFk2rRplJSUdLvuT3/6E1dfffUgW6ShMXLQRKQB5JlnlBfSokWLBkVAAhWDDEpEKioqYseOHeh0Os4888xBOf6xwkAPjOMDTG3AnVg6Xv9jQXzUODaJ50EaUp5IwzCcTQgxH3gT2ACcDtwN1ACzgOuBbyfOOo1hibVLmq2OnkgTz4HvPAPNteT5yijc/zJ57uPI9BWw/s0GLrrvWrb+5Oek1OuZtdZI+FwdhsqthxWRZO0eqjanICM6duZnAeDKtGHy7iMtqZB6/1wm1p1IfvIYmHgOvk93AdBqUSqQI9q9JxIoEamuzIfVaaYguaBNREp2WmlVH3vMhxRn+mmj8XsCjD8+g2mnjT5IIErLVb+JtbE8S5oXkkYieOONNwiFQt2uy8zs/nuioaExMGgi0gBQVFTEsmXLeOmllwB6VL77Kzx0N0iOeyIdOHCAZcuWAbBw4UJSU1MP6tsbGzRxpHdo1yexdPdd0O7JkaGJcIfGZrMBDClPpGHKQ8A9UsrfCSG8HdrfBxYnyCaN4czhPJGEgCmqQMq0gIe0stdoyf0zxj33U1nsYauplaoLfRjecjK2RtKwx0ZG17xIUqr9xPC8/jYt9SakScfmKRlMrYU0mw+8khMtH/Mv/1xmek4hyZAEk87D93G9MstlZUogyMzWIFhHdXsqjjQlECU5jIxLGcenlZ8CkO5yUYYSwJPTeif25E11kTf10Hns03I6FxiIJ+PW0BhMxowZk2gTNDRGLJqIdISsWLGC2267jUhEJSy86aabmD179mG3GcjBWlxE2rx5M42NjQA8+OCDPW7Xkw0jcUDZHxFCy8mjMVzQntNDYw2UAtD42f8ScLzV1p7I30lVna2PnkhDP8HoDGBRN+01QPcjZw2NI8HiBJ0BoirvD2njuu3mNDt5Z+HT6FeezG7HH3nX/V9s3jGWKdn5PHuKlyWvRHEXWRlVuoW2guWf/gHeXQbXrKUl7QS+eG0PjrU7MQLV543FHFGeEinhHQAUZNSh9+qI+E24q/2kjluAT6oUBTOcSdxSUaUEJH33r+4pMSHH4bJQkKwKq1gNVjKdae0iUg9JtXtLSmYSOoMgGla/KZonkoaGhsbIQhORjgCv18udd95JJBLhvPPOY/ny5ZxwwgmDakNcRIoLSIsWLepUznI4MxQGvUPBhpFI/Lp3HMQfakCv3SON/tDxeXKO/TYUluPPuwLz2UPDIUbXj5xIfe2fANxANrCvS/sc4MDgm6Mx7BFCeSP5qtVyR0+kLhgyp0DWDCZXfcD+guso2uegtPYmPp/zCDUpQTLcejyfFZH6o5ASpT78FUQCsHUNW6MZbFlXTeboSzhe/IXC+aNJeVdVWUtxrwdA78ohM5JMxR43lUUeUk/NwWuZAj6we1T1OOwHV2aLM/mbWQT8ISackEmDJQmjzshZ+Wdhk+0hbL0NZ+sJnV6HK9tGXZkSpzQRSUNDQ2NkoYlIR8Bzzz2Hz+dj8uTJvPHGGwjRi3KyA0xcRAJVFvOBBx4YdBsSRSK9AIaCMNGX8x8K9g4kPZ37cDtfjcSSnZ0NQGVlZYItaWc45kQCngceFkJcCUhAJ4Q4BfgN8HRCLdMYvsRFJGsaJKUcvu/0b0PVNubLezmguxdfOI8TDpzP6yf+k+velTTsMJNSsxNRtRVa1OQe+z+m1n8VAPWuaWRke9lLK5NbVYLslNYt6m3cmUe206lEpGI3U0/NwadTyawd7s8gCbB1n1QbwJRk4MQLlAdSCuN4/8r3sRqtlG11t/UZKE8kUMm1NRFJQ0NDY2SiiUhHwJ///GcAfvjDHyZEQAJITU3FbDYTCAS48cYbGTeue1dsjZ451oSHY83eI0UTjjQGg8PlnotXwRwKiGi0z9XWjoHqbHcBvwfKAD2wPfb/GmB5Au3SGM7E8yK5evH+NP1yePc+LK37WZD8R95038mcirN4Y/I2Ih/uJeg14nvzZRzBd3nLZuVJp4NrPVXU760FXQphoxVPyniqGluZJo0IQjj0NWrfzjyy01OAEiqLPAD4gg4ggl2vqqAdKql2d6RYlCCW5DC2tSUPoNiTNro9L5ImImloaGiMLDQRqZ8UFhZSWFiIyWTimmuuSZgdQgiuvvpqNm7cyD333JMwO44Gkbf+c1CP15cvg/68vx52/WDbPhLo6ZpqP2YaPX0v+8tQFJGGoyeSlDII3CCEeACYDtiBL6WUexJrmcawJl6h7TChW94b6AAAIABJREFUbG2k5EPeN6FsI+Msm5g0tp7d+9OYV3I16+b8jrM2+mh4/mWaTyvjvtxs/Dodfw1YOAtH2y6K5Rm01qtH2mGoQidi4m5KHlnjnCDAU9tCsztAc5Na1y4iHTqc7VDYXSqEzeo0YU4auL+Uo2IiksVuxGw19tBbQ0NDQ2M4oY27+kDkncVEbCYA/vS/HwNw+bxcUj//KZEE2vXnKwVceTJ8cVdC7RgshoKAo4lEGkfK0RI8NAaeoSgiDWeklKVAaaLt0BghpMQqPGVN713/6d+Gso0AnHZJOuWrDODJpDL9GiJiJf7SIM+3uPDrdGTqkrhkcxK+bH3b5v9umYUzFuqWZm5o368zD3OSgbTRdurLfRR/WUM0KhFIbLpYv36ISMlpSZz3w+nYUs193vZw5ExKYeJJmeRM7CEEUENDQ0Nj2KGJSH1Af84K9MnJeL1enrtSDSpuXPY39PPnJ9gyjY4MhcH5UBCZursOg2HXYB53IO71YN6rY81eDUVmiRrwVZTs6fb6J+I3Zzh6Igkh/na49VLKHwyWLRojiNP+B7JmwnEX9q7/tG/BOz8DnQHL+BO44EbJS7/dTLZvGh998zvM/+x5Frxp5L0sHY/nfZvqus/Zlg0+Yy1JYRf61lGMaZwGQKpLQii2X2cuADnjndSX+9izWSX7tjlEu7eSre8iEsD44/u33eHQG3QsvH7agO9XY2SxYMECZs+ezaOPPtqr/k899RS33XYbbre7584aGhpHDU1E6gNxT6Qn1n6Nz+dj0mgnp/ifJvLW6oTZ1JfBizb4HFkk6n4PtedsKNnT0Zb+Cg9DQSQdaeQ1NsKNL9PgDRBasAKLZWAqHB0JehlFL/uW46iv/RNAapdlIyqsLQV4f/DN0RgRJKXCzCt739+eAT94C4QOzA4yC2DhD6bz1p//TdRyGlum1jFn+7ss/6eNpILd+K0qj5HTUUFLoBZ981TyPFNUW6YdygEEJI8GIHtCCtvWH6Bqb5M63KhkkE5o9YCj9zmRNDRGOi+//DIrV65ky5YtBAIBpk2bxrJlyzj33HMTbZqGxjGPJiL1Af05KyiuquLup+cAcOtdD2I4/+YEW9V7tMHnkTGUxIiRwnB+ZrXn6dgh5dy/YLFYaG1tpbKykoKCgkSbhJB990QScmh7IkkpL+vaJoTQASuB4sG3SEPjEOTM6bQ44fhMRi/cQcXbURozLqOybjfZ5aU0l2/AP3kRAMcHdmDWNfMxU9u2Sx2TrUQkRxYYVLqE7AnOTvu2uyxw8u9g34cw9vSje14aGsOIDz/8kHPOOYcHH3yQlJQUnnzySS6++GI2btzInDlzet6BhobGIdFEpD4QDAZZtGgRfr+fM888kxtvvDHRJg1phvMgOVGhYiONnq5px/ugXf/hTyJFxZycHPbu3UtFRcWQEJFUOFvfPIuGejhbd0gpo0KI3wHrgF8l2BwNjUPyrcvm8/DW1Tiqc/FceRM5f12GDAQIpOcDkGI4QKZxDx97r2/bJmXOPCibCxMXtrXZUy04XBa8Da2xZTPM+Lb6p3HsIyWE/Ik5ttEKvawmvWDBAmbMmIFer2fVqlWYTCaWL1/OokWLWLx4MS+++CKZmZk8/vjjnH/++QCsX7+epUuXsnXrVlwuF9///vdZvnw5BoMabjY3N3PTTTfx8ssv43A4uP322w86biAQ4O677+a5557D7XYzffp0Hn74YRYsWNDn0+0aIvfggw+ydu1aXn31VU1E0tA4QjQRqQ/84he/oLCwEJfLxdNPP41Op0u0SUOaoeRFMtACgyZYDA36ex808enYJFE5vaCziDQUGI45kQ7DeLT3FY0hjhCCc+efzid/34s+OobRjz1K45o1+JNGQwBSDRU4jXWkZllprPJjthqwpLlUaFwXsic48W6Ki0iJD5/VGEBCfngwJzHHvqsCTLZed1+1ahV33HEHmzZt4oUXXuCmm27ilVde4bLLLuOuu+7ikUce4Xvf+x6lpaU0NjZywQUXcO211/L000+zc+dObrjhBiwWC8uWLQNg6dKlrF+/nrVr15KRkcFdd93FF198wezZs9uOuXjxYrZv387zzz9Pzv9v797jo6ru/f+/PglBLglgAgl3xBbQw11tkXIsWOq3KnpO7a+1PfBVrJQqGlsrRAQ8iG1q8ViP9Ki1Wm1ArWK9oF9bSv1qv1JFixVv9IjYU9AIKJeaCwkQIFm/P/YkTmLCXDIze8/M+/l4zCOZvdfs/Vl79sxe+zNrrz1wIGvWrOHss89m8+bNjBgxolPVb2pqYv/+/RQWFnZqOSKiRllMmjPa9957L4MGDfI5GolFNAkt9zuN2ZpubMYxx+EF2n9fw6cpFSzh2ttfbMavAneHtkxMIoV6HLWaBAwAZgCrUh+RSGyGjurLS2zjw2219Cz9Inmfm8Kh+S8A0Dt3Fxw/jOFD+lL1USV9SnpgHfQKGfDZPrz7ijewdn5hYu+qJhKt8ePHc/311wOwaNEili9fTt++fZk7dy4AS5cu5a677uKtt97i6aefZsiQIdxxxx2YGSeddBK7du1i4cKFLF26lAMHDnDffffx4IMPMn36dMBLUg0ePLhlfZWVlVRUVFBZWdlyzF2wYAHr1q2joqKCm266qVP1+elPf0pdXR0XXnhhp5YjIkoixWTgwIHMmDGDCy741LANWSnbki7tJSyybRuIZCP3u0sZ0PBXAHa+cC/us28C0SUxJSZtry9oAvYC8wFtbAm8wgE9Oa5HFxoOHGXvB3W4UOI2P6+WrjmHoPAzjP7iIHa+W83YaYM7XM6Az3wyLpJ6ImWYvB5ejyC/1h2DcePGtfyfm5tLUVERY8eObZlWUuIN9L5nzx62bNnC5MmTWyVGp0yZQl1dHTt27KCqqorDhw8zadKklvmFhYWMGjWq5fnmzZtpbGxk5MiRreJoaGigqKgoptjbeuihh7jxxhtbekGJSOcoiRSDDRs20K9fP7/DCIx0PYGKlPhJ13rFKryeqUyGxbJ9I8WlJJ4kS9vPx8BCr/H94ccHW01vWzZVcpqa4hgTKdh3Z3POnel3DCKdYTnGgM/24b239rHrb9V06+k1s/sUhU6sB51Cr6LufH3hacdcTuGAnvQp6cHBusMcXxLbib8EnFlMl5T5KS8vr9VzM2s1rTlh1JSgY0tdXR25ubls2rSJ3NzcVvPy8/PjXu7q1av5zne+w6OPPsqXv/zlzoYpIiiJFJPCwkJ69kyPL37pWCJP+PxKxCSCX/Gm23aS7NLe94PN+BWDqn8NFf+bXTYsEInmTLycTSQTDAwlkT78n2qO7+8lgPqMHAmn/QZOOCOqZViO8bWyU2hqdHTtrqa6BN/JJ5/M448/jnOuJbm0YcMGCgoKGDx4MIWFheTl5bFx40aGDvUGm6+qquLdd99l6tSpAEycOJHGxkb27NnDGWdE91mJ5OGHH+bSSy9l9erVzJgxIyHLFBElkSTDJSth0dGJZmdlQ4IlkT2RRBItbcZEamwipzHGnkgxlk81M3sdiCrT5Zw7JcnhiMRlwAjvUrRd/1PdMu34Afkw8isxLad7fteExiWSTFdccQUrVqzgqquuorS0lK1bt3LDDTdwzTXXkJOTQ35+PnPmzKGsrIyioiKKi4tZsmRJq5sUjRw5klmzZnHxxRdz6623MnHiRPbu3ctzzz3HuHHjYk4CPfTQQ8yePZuf/exnTJo0iY8++giA7t2707t37wivFpFjURIpjQThhDqde94kUjbXvbO07STduN9dyoAdNUCAkkiZ2RNpHXAF8Dbwcmja6cBo4C7gYAevEwmMfkML6NI1h4b6o3yw5WMA+uiSNMlwgwYNYu3atZSVlTF+/HgKCwuZM2dOy8DcALfccgt1dXWcf/75FBQUMH/+fGpqalotp6KigvLycubPn8/OnTvp27cvp59+Ouedd17MMd1zzz0cPXqUK6+8kiuvvLJl+uzZs1m5cmXcdRURMOcC36j0nZn1Ampqamro1auXb3Gk4uRbg0dLOojUm0n7rCSSzfgV+/fvb/n+379/f7vjM9TW1jb/utnbOVeblFhCx6Oqxy6iV8/YeirU1h/m+K8/kNT4OsPM7gU+dM79e5vpNwJDnHP6YKeZZLWf6uvrWz6DdXV1gRtq4KkVr7PjnaqW5xf9eDK9irr7GJH44dChQ2zfvp3hw4fTrZsGSE8Hes8k6JJ5/IulHaueSGnEr3E4gjD+h0hET13S8m/7N00WidNTl1AA5HfrQt2ho3z44YeMGDHC76gy0TeA9kYcfhB4FVASSdLCwBF9WpJIXfJyKNAd1kREJIMoiSTJE3ZSnxH+deWx52dafRMp0rYDbT8Jlnb22YFDX+bdd99l165dvieRclwcl7MFv+fxQWAK8Lc206cAh1Ifjkh8Bn62T8v/vUt6YDn6aUMk0UaPHs3777/f7ry7776bWbNmpTgikeyhJFI8gnSyG83JebMgxZ2OtP3il6xtl83JqVg++5IQAwYMaEki+a6pyXvE+ppgWwHcZWanAK+Epk3C64H0I9+iEolRyfBe5OQaTY2O4zUekkhSrF27liNHjrQ7r6SkJMXRiGQXJZHika4nb4mOO1NPziX42tuX03l/TNfvlCwTqDu0NTrvEetrAsw5t9zMtgHfB/53aPIW4NvOud/4F5lIbLp0zaV4WC8+2lajQbVFkmTYsGF+hyCStZREkvhlQy+o8Dqmax0yUfN7Ef7+dLQ/psP7lg4xZoJOJusClURqct4j1tcEXChZpISRpL1TvjKUV367nVGT+vsdioiISEIpiSSpkQk9LTKhDiLZLJZkXXtjIgUqiZSRl7NhZn2ArwMnAj91zn0curxtt3Nup7/RiURv+Ph+DB/fz+8wREREEk5JJMls6uGRftT7S/x0jGRxcxLpww8/TFEwx9BIHJezJSWShDGzccCzQA1wAnAv8DHwNWAocLFvwYmIiIgIoCSSpMpjF/kdgaSLjvaVrz8QfVmReLW3T4X2vUD1RMpM/wmsdM5da2b7w6avBR7yKSYRERERCaMkUiyenAs9uvq3/vZOomOhE+5PC9+m2j7BdoyT+5hfl2qd/exKIIQnkZxzmPl42+7MvJztc8Bl7UzfCWhgGREREZEAUBIpFl/9JfTq5XcU8dOJ7LElcvsEIXEhwaH9ISMMOHQUgPr6evY/8C16Nf+o4Md3a2YOrN0AtHeQHQnsTXEsIiKSZNOmTWPChAmsWLEiqvIrV67k6quvprq6OsmRicixKIkUC/VEEgmWdN6nldRNOz2BPleto7q6mg9OXcro0aP9C6apCRozrifS/wGWmtmFoefOzIYCNwOP+xeWiIikmxdffJGFCxfyzjvvcODAAYYNG8Zll13GD37wA79DE0l7SiLFQj2R0k88SYZ4t1OksXzSOeEhiaf9Idg6+B4YPnw4r7/+Otu3b/c5iZSRPZHmA48Be4DuwHq8y9heBpb4GJeIiKSZnj17Ulpayrhx4+jZsycvvvgil112GT179uS73/2u3+GJpDUlkUTaSvTJvZIFIukjQhK5OYm0bdu2FAXUgcY4eiLFWh4wsyuBMrxkzpvAVc65VzooOxfvDmpjQpM2AYs7Kt+Wc64GOMvMpgDjgXzgNefcszEHLhGZ2SK8O9+dBBwEXgIWOue2hpXpBtwKfAs4DvgDcIVzbnfqIxZJf845Dh496Mu6u3fpHvVYftOmTWPs2LHk5uayatUqunbtSnl5OTNnzqS0tJTHHnuMkpISbr/9ds455xwA1q9fT1lZGW+++SaFhYXMnj2b8vJyunTxTjfr6+uZN28eTzzxBAUFBSxYsOBT621oaGDJkiU8/PDDVFdXM2bMGG6++WamTZsWc30nTpzIxIkTW56fcMIJPPHEE7zwwgtKIol0kpJIflg90+8IRCTZvqWbSWWiE088EYDt27f7HEnymdk38e6YdjmwEbga+IOZjXLO7WnnJdOAh/GSEYeAhcAzZjbaObcz2vU65zYAGzoZvkQ2FbgT+Atee/AmvPfrn5xz9aEytwEzgG8ANcAdwBPAlNSHK5L+Dh49yKSHJvmy7o0zN9Ijr0fU5VetWsW1117LK6+8wiOPPMK8efNYs2YNF1xwAYsXL+a2227joosuorKykqqqKs4991wuueQS7r//ft555x3mzp1Lt27dWLZsGQBlZWWsX7+ep556iuLiYhYvXsxrr73GhAkTWtZZWlrK22+/zerVqxk4cCBr1qzh7LPPZvPmzYwYMaJT9X/99dd56aWXKC8v79RyRERJJH90dHIZT3IplhNVJa8k00Sz//u130dar5JMaWn48OEA/vdESs3lbNcAv3TOVQCY2eV4CYVLgeVtCzvnZoU/N7PvAP8fMB24v6OVmNlkoMg599uwaRcDN+INRfUkXg+ohlgrIB1zzp0d/tzMLsG7lPBU4E9m1huYA8x0zv0xVObbwBYzO9059+cUhywiKTR+/Hiuv/56ABYtWsTy5cvp27cvc+fOBWDp0qXcddddvPXWWzz99NMMGTKEO+64AzPjpJNOYteuXSxcuJClS5dy4MAB7rvvPh588EGmT58OeEmqwYMHt6yvsrKSiooKKisrW+6GumDBAtatW0dFRQU33XRTXPUYPHgwe/fu5ejRoyxbtozvfOc7ndksIoKSSMGS7JNKnbRKOicSMy1hmg4xiids3wtMT6TOXc5W0OaShoa2CRoz64qXTPhJ8zTnXJOZPQtMjnKNPYA84OMI5ZYCzwO/Da17LHAfsBLYgnc53S5gWZTrlfj0Dv1tfr9OxXv/Wi4ndM69Y2aVePvAp5JIZnYc3mVvzQqSE6pIeurepTsbZ270bd2xGDduXMv/ubm5FBUVMXbs2JZpJSUlAOzZs4ctW7YwefLkVpfLTZkyhbq6Onbs2EFVVRWHDx9m0qRPemEVFhYyatSoluebN2+msbGRkSNHtoqjoaGBoqKimGIP98ILL1BXV8ef//xnrrvuOj772c/yb//2b3EvT0SURBLxX2eTCYns2RZk2k7ZI8AJ7/CeSM65qMeXSLjO9UTa0WbOjXw6QdMXyAXajn2zG28MnWjcjJf8iTSm0QTg38OefwvY6JybC2BmH3QQoySImeUAK4ANzrm/hib3Bw4759reS3t3aF57FgE3JCdKkfRnZjFdUuanvLy8Vs/NrNW05uNfU4Lu/FlXV0dubi6bNm0iNze31bz8/Py4l9t83B47diy7d+9m2bJlSiKJdJKSSJJ9Mi1pkGn1SZZM2U5BSLAke1sG4b3qYDsPGzYMM6O+vp59+/bRr1+/FAcW0rmeSIOB/WFzEn6ZmJldh5cMmuacOxSh+PG0TlZNBX4f9vwvwJDERiht3Ik3IPo/d3I5P8EbR6tZAZ9OWopIhjn55JN5/PHHW/24smHDBgoKChg8eDCFhYXk5eWxceNGhg4dCkBVVRXvvvsuU6dOBbyBsBsbG9mzZw9nnHFGUuJsamqioUFXRot0lq9JJDP7Il439VOBAcAFzrknw+Yb3q+Pc4E+eANtznPO/S2sTCFwO3A+0AQ8DnzfOVcXVmYcXgPpc8Be4Hbn3H8kt3YStyCcQEqwRUqkZPI+lMl1i0eKk2rdunVj4MCB7Ny5k23btvmXRHJx9ERyLeX3O+dqI5TeBzQCJW2mlwAfHeuFZrYAuA74snPurSgi2w0MBz4IXUZ3Cq17sxQAR6JYjsTBzO4AzgO+6JwLT/h8BHQ1sz5teiN1uA+ELotsOUPzraeeiKTUFVdcwYoVK7jqqqsoLS1l69at3HDDDVxzzTXk5OSQn5/PnDlzKCsro6ioiOLiYpYsWUJOTk7LMkaOHMmsWbO4+OKLufXWW5k4cSJ79+7lueeeY9y4ccyYMSOmmO68806GDh3KSSd5nWf/9Kc/8dOf/pTvfe97Ca27SDbyuydST7xbBv8K724fbV0LfA+YDWwHfoR3Z5h/Cvtl89d4Caiz8K7drwDuAWYCmFkv4Bm87vSXA2OBX5lZtXPuniTVq3N0kihybO19RsKTCeH/J+syOMlaJ554Ijt37mT79u2txndIqc71RIrIOXfYzDbhDYr9JLRc8jQd7w5d7TKza4ElwFecc69Gubq1wHIzWwh8FTgAvBA2fxzw96iDl6iEfqi7HbgAr8dY24G+NuEl76bj/UCHmY0ChgIvpzBUEQm4QYMGsXbtWsrKyhg/fjyFhYXMmTOnZWBugFtuuYW6ujrOP/98CgoKmD9/PjU1Na2WU1FRQXl5OfPnz2fnzp307duX008/nfPOOy/mmJqamli0aBHbt2+nS5cufOYzn+Hmm2/msssu63R9RbKdORfz3VqSwswcYT2RQo2bXcCtzrmfhqb1xvvF8hLn3GozOxl4G/hcc2PVzM7Ga5AOds7tMrN5wI+B/s65w6Eyy4GvOueiGtchlIiqqampoVevXgmsdRI98E2/IxBJvoseiVyms5+FaNYhWWX27Nncf//9/PjHP2bx4sUt02tra+nduzdA7yh6+sSl5Xh001n06pYXsXy42kNH6L34/0Ydn5l9E1gFXAa8AlwNXAic5JzbbWb3Azudc4tC5RcCP8T7EWdD2KLqwnsHt7Oevng/JP0zUAfMds6tCZv/HPBn59ySWOorx2ZmP8d7r/4V2Bo2q8Y5dzBU5i7gXOASoBYv6YRz7gtRriMp7af6+vqWMVLq6uro2bNnwpYtkiiHDh1i+/btDB8+nG7duvkdjkRB75kEXTKPf7G0Y/3uiXQsw/EGbgy/K0iNmW3EuyvI6tDf6ja/dj6Ld1nbJGBNqMyfmhNIIX8AFprZ8c65qrYrDuzdRZQYil1zAkDbLn3EkhhKxfuqfSd2GZ54C8Qd2jo3sHZUnHOPmFk/vMRQf+AN4GznXPP4RUPxjrfN5gFdgcfaLOqYg2I75/YBXwz9UFTnnGtsU+QbeMklSax5ob/Pt5n+bbw74wH8gE+GCjgOr/10RQpiExERkYAKchKp+c4f7d0Zpn9YmT3hM51zR83s4zZl2rb0d4fN+1QSiaDeXSTDT8ySStsus3T2/YwlMRS+LiWUopPJ2+miR1rdoc03jS6Oy9li73nsnLuDDi5fc85Na/P8hJhX0Pr1NR1M/7i96dI5zrmIAxaFhg64MvQQEQmM0aNH8/7777c77+6772bWrFkpjkgkewQ5ieSnYN5dJJNPzESCSp+77HSMRGUgeiI1utiTQnEkkURERIJo7dq1HDnS/j0XSkra3hNCRBIpyEmk5jt/lAAfhk0vwetS31ymOPxFZtYFKAx7/Ue0f3eZ8HW0ktV3F0lWj514e374sX5JvGT15knFmEjZRr32ImruiVRZWcmRI0fIy4ttbKKEaGryHrG+RkREJAMMGzbM7xBEslaQk0jb8ZI80wkljUIDNE4C7gqVeRnoY2anOuc2haZ9CcgBNoaV+bGZ5TnnmtPVZwFb2xsPKdAindyt/Ebn15GIZWRCDJJYfr6nsV7yk0yXPOp3BJIAAwYM4LjjjqOhoYEPPvigpWdSSqknkoiIiIj4wNckkpnlA58NmzTczCYAHzvnKs1sBXC9mf0NL6n0I7w7tj0J4JzbYmbrgF+a2eVAHt7YDaudc7tCy3wIb3yj+8zsZmAM8H28wSJj8+uLobsPvzgfS/hJaaQTVCVnJFz4/pLIfSORy+1on25ebrzLVzJHOiEnJ4cTTjiBrVu3sn37dn+SSE1NsSdI1RNJRERERDrJ755IpwH/L+x58zhEq/BuJ/sfQE/gHqAP8CLenWEOhb1mFl7i6Dk+uYPI95pnhu7o9r+AO4FNwD7gh865e2KOdtb9kMBb1KZcpp04KynWOcnafolcbqRlRbNPt7cM7TuJl2nfLxGceOKJbN26lW3btjF9+nS/wxERERERSQlfk0jOueeBDgcccs45YGno0VGZj4GZEdbzFnBGfFGGCXpPpEh04iyxSFZPpY7WEc+6Ur1PZ1miRDrWPC6Sb4Nr63I2EREREfGB3z2R0ot6IklnpFsSL5WJo47mB22bBS0eSZ4I+2nzJWzbtm1LRTSfpoG1RURERMQHSiKlyi+/5ncEIsGQzp+FuU/4HYEEhHoiiYiIdM60adOYMGECK1asiKr8ypUrufrqq6murk5yZCJyLEoipYpOPoMj3iRG+HuYzomQTNXRZyyR75Xe9/SUhO/f5lsLV1ZWJnzZUWmMY2DtIN2pUEREJEU2bNjA1KlTGTNmDG+88Ybf4YikPSWRYrFyVvDGRIrm5Egnvomh7RhsiXh/lOyVKBUXFwOwb98+nHOYdTi8X3KoJ5KIiEhE1dXVXHzxxUyfPp3du3f7HY5IRlASKRaX/LrjMZH8SjAosSHpQMkZyTD9+vUD4OjRo1RXV3P88cf7HJGIiASdcw538KAv67bu3aP+wWPatGmMHTuW3NxcVq1aRdeuXSkvL2fmzJmUlpby2GOPUVJSwu23384555wDwPr16ykrK+PNN9+ksLCQ2bNnU15eTpcu3ulmfX098+bN44knnqCgoIAFCxZ8ar0NDQ0sWbKEhx9+mOrqasaMGcPNN9/MtGnT4q735ZdfzsyZM8nNzeXJJ5+Mezki8gklkRIl006SsyU5pUvUUiNZ2zbdeuJl2vdEFuvWrRv5+fnU1dWxd+/e1CeRmuK4nE0Da4uI+ModPMjWU071Zd2jXtuE9egRdflVq1Zx7bXX8sorr/DII48wb9481qxZwwUXXMDixYu57bbbuOiii6isrKSqqopzzz2XSy65hPvvv5933nmHuXPn0q1bN5YtWwZAWVkZ69ev56mnnqK4uJjFixfz2muvMWHChJZ1lpaW8vbbb7N69WoGDhzImjVrOPvss9m8eTMjRoyIuc4VFRVs27aNBx98kPLy8phfLyLtUxIpFr/8VvAuZ7viqejL/vxfkxdHutI2Sb1Y9tlEUOJGkqRfv37U1dWxb98+Ro4cmdoQR5m3AAAenklEQVSVNznvEetrREREojB+/Hiuv/56ABYtWsTy5cvp27cvc+fOBWDp0qXcddddvPXWWzz99NMMGTKEO+64AzPjpJNOYteuXSxcuJClS5dy4MAB7rvvPh588EGmT58OeEmqwYMHt6yvsrKSiooKKisrGThwIAALFixg3bp1VFRUcNNNN8UU/9/+9jeuu+46XnjhhZbeUCKSGPpEpZP2Tr7TOQmSrGRCsraJEnaJEYT3RyQB+vXrx/bt29m7d2/qV97o4hhYW0kkERE/WffujHptk2/rjsW4ceNa/s/NzaWoqIixY8e2TCspKQFgz549bNmyhcmTJ7e6XG7KlCnU1dWxY8cOqqqqOHz4MJMmTWqZX1hYyKhRo1qeb968mcbGxk/9KNPQ0EBRUVFMsTc2NjJz5kxuvPHG1P/II5IFlESKxdzVrcdESvTJcKST4FQmJvw8IQ9qAiY8rkjbJ0jvZbYL6rZW0ivtNY+L5E8SqQkaYxzMW3dnExHxlZnFdEmZn/LyWl99YWatpjUnjJoSdKl0XV0dubm5bNq0idzc3Fbz8vPzY1rW/v37efXVV3n99dcpLS1tidM5R5cuXXjmmWf40pe+lJC4RbKRkkjxSNZJaTzLTVbvmKCeeAdFum6faPaXSHULaoIsEetVYkdi4G8SSXdnExGRYDj55JN5/PHHW92tdMOGDRQUFDB48GAKCwvJy8tj48aNDB06FICqqireffddpk6dCsDEiRNpbGxkz549nHHGGZ2Kp1evXmzevLnVtJ///Of88Y9/5LHHHmP48OGdWr5ItlMSKR5+nWi2d5KcrskM8Uci9pcg7XOJSIrFW7azlLBKe+qJJCIiAldccQUrVqzgqquuorS0lK1bt3LDDTdwzTXXkJOTQ35+PnPmzKGsrIyioiKKi4tZsmQJOTk5LcsYOXIks2bN4uKLL+bWW29l4sSJ7N27l+eee45x48YxY8aMqOPJyclhzJgxraYVFxfTrVu3T00XkdgpiZROdNKZnn52nt8RpK/v/7bzyzjS2PllJIP2i2CKYZ/r27cv4FMSSUREJCAGDRrE2rVrKSsrY/z48RQWFjJnzpyWgbkBbrnlFurq6jj//PMpKChg/vz51NTUtFpORUUF5eXlzJ8/n507d9K3b19OP/10zjtPbSaRIDHn1L09EjPrBdTULP9f9OoWsLuzxXKSrZNWiVd7+1ks+1MikkEiAVNRUcGll17KV77yFdatW0dtbS29e/cG6O2cq03GOluORxeOoVfX3Ijlw9UebqT3b/6a1PhEwrXsrzU19AofU7KT6uvrW8ZIqauro2fPnglbtkiiHDp0iO3btzN8+HC6devmdzgSBb1nEnTJPP7F0o5VT6RMlc4Jo84mLCR4kvX+pSI5lQn7npJ4SeHr5WxNcVzOlqDBT0VEREQkeymJFIt5j7a+O1uqtXcymwknuG1lYp3SXVDfk6DGFTTptp3SJOnl+8DaORpYW0REstPo0aN5//3325139913M2vWrBRHJJI9lERKJ2lyYpW1bot+wD+RtPCD3/kdQaA1J5H27duX+pU3NkGOBtYWEZHstHbtWo4cOdLuvJKSkhRHI5JdlEQSSZQgnHD7lciKVPdExxXLtlZyL35B3Z8CojmJdPDgQerr61O7cvVEEhGRLDZs2DC/QxDJWkoiSWs64c5s8Z6cR9ovErHfJDJxkA37cZokWjJZfn4+xx13HA0NDezdu5fCwkK/QxIRERERSSolkaQ1nZhKe9Jtv0i3eDsrG5Jmfgrfn8K2tQH9uhs7GmDvz2ZRWJzCO0TpcjYRERER8YGSSCLJdvPZfkeQvhau6/wytP0lFpH2uTYJyn4PnMKO119n71lLGPXP/wyLeycxuDC6nE1EREREfKAkkogEQ3sn75ESQNEkmZrLKJkkSeDbHdqaXOw9i5qURBIRERGRzlESKVV0Aps6kRILei+CKZb3JZ4eSono1STSRt++fQEfkkiNTd71dLG+RkRERESkE5RESpUgn8BmWlIl0+ojn9b8Hkfzucq2/SHI3zUZyLeeSI0OTJeziYhI+po2bRoTJkxgxYoVUZVfuXIlV199NdXV1UmOTESORUkkCd5JZ7ad9Ev8tK98WrJ7dEkr/iWR1BNJRESkI88//zxnnnnmp6Z/+OGH9O/f34eIRDKHkkgSPDqxTb3yszr3+uv/b+KWJamj96pj4fv0MfiWRBIREZGItm7dSq9evVqeFxcX+xiNSGZQEklEoj5hjnlZyU5SJCLuSDFGWkcqEjHtxaAEUHJ1tH3bvBfNSaR9+/YlO6LWdDmbiEjacc5x9LA/vUK7dM3BLLourNOmTWPs2LHk5uayatUqunbtSnl5OTNnzqS0tJTHHnuMkpISbr/9ds455xwA1q9fT1lZGW+++SaFhYXMnj2b8vJyunTxTjfr6+uZN28eTzzxBAUFBSxYsOBT621oaGDJkiU8/PDDVFdXM2bMGG6++WamTZsWd72Li4vp06dP3K8XkU9TEkmkrVhOzuNNmMSb/FDiwJPKxE4Qtnkie4pJQulyNhERidbRw03c8/31vqz7uz+bSt5xuVGXX7VqFddeey2vvPIKjzzyCPPmzWPNmjVccMEFLF68mNtuu42LLrqIyspKqqqqOPfcc7nkkku4//77eeedd5g7dy7dunVj2bJlAJSVlbF+/XqeeuopiouLWbx4Ma+99hoTJkxoWWdpaSlvv/02q1evZuDAgaxZs4azzz6bzZs3M2LEiLjqPWHCBBoaGhgzZgzLli1jypQpcS1HRD6hJJKkr3Q+uQ9C7KmU6iSGkiaSIr4lkZpc7D2LmtQTSUREojN+/Hiuv/56ABYtWsTy5cvp27cvc+fOBWDp0qXcddddvPXWWzz99NMMGTKEO+64AzPjpJNOYteuXSxcuJClS5dy4MAB7rvvPh588EGmT58OeEmqwYMHt6yvsrKSiooKKisrGThwIAALFixg3bp1VFRUcNNNN8UU/4ABA/jFL37BaaedRkNDA/feey/Tpk1j48aNnHLKKYnYRCJZS0kkSV9KFCTXDV9KzrJu/GNy1hEufB2RJCsGCZ5Y9osoNSeRamtraWhoSPjyOxRPryL1RBIR8VWXrjl892dTfVt3LMaNG9fyf25uLkVFRYwdO7ZlWklJCQB79uxhy5YtTJ48udXlclOmTKGuro4dO3ZQVVXF4cOHmTRpUsv8wsJCRo0a1fJ88+bNNDY2MnLkyFZxNDQ0UFRUFFPsAKNGjWq1/C984Qv8/e9/57bbbuOBBx6IeXki8gklkUSkfUk44fZlHUGKQQkrf3W0/TuxD/Tp04fc3FwaGxv5xz/+EfdyYtboAI2JJCKSTswspkvK/JSXl9fquZm1mtacMGpqSswPFHV1deTm5rJp0yZyc1tvo/z8/ISs4/Of/zwvvvhiQpYlks2URJLMoJPz9BGExJFfsrnuGSonJ4e+ffuye/fu1A+uLSIiEgAnn3wyjz/+OM65luTShg0bKCgoYPDgwRQWFpKXl8fGjRsZOnQoAFVVVbz77rtMner1zJo4cSKNjY3s2bOHM844IylxvvHGGwwYMCApyxbJJkoiSfpa5E934Kz3kzgGhAx/r/S+RSee7Sy+8CWJpMvZREQkIK644gpWrFjBVVddRWlpKVu3buWGG27gmmuuIScnh/z8fObMmUNZWRlFRUUUFxezZMkScnI+ucRu5MiRzJo1i4svvphbb72ViRMnsnfvXp577jnGjRvHjBkzYoppxYoVDB8+nNGjR3Po0CHuvfde/vjHP/LMM88kuvoiWUdJJElfQT7JzuRESSbXLUi0nYMjwndN87hISiKJiEg2GjRoEGvXrqWsrIzx48dTWFjInDlzWgbmBrjllluoq6vj/PPPp6CggPnz51NTU9NqORUVFZSXlzN//nx27txJ3759Of300znvvPNijunw4cMty+nRowfjxo3j2Wef5cwzz+x0fUWynTmnMRIiMbNeQE1NTQ29evXyOxwRkY4p+ZQ6oeTShRdeyKOPPsry5cu57rrrAHo752qTscqW49FnjqdXbmyDpNY2NtH771VJjU8kXLLaT/X19S1jpNTV1dGzZ8+ELVskUQ4dOsT27dsZPnw43bp18zsciYLeMwm6ZB7/amtr6d27N0TRTlRPJBGRdHRtcsYLyBr/8ULCFuVPTyQHLsaeRU360UhEREREOkdJJJFU0Ul/4kWTCNB2j02ytmkCkzYxay/eePeLdurRnERK+d3ZYs0JKYkkIiIZYvTo0bz//vvtzrv77ruZNWtWiiMSyR5KIomkip8n0SLRSlbSLd2SeTF8Xvv370+/fv3o2rVrEgNqo7EJnMX2GiWRREQkQ6xdu5YjR460O6+kpCTF0YhkFyWRRJLhB1/wOwK47aVP/g9CPCJ+C/9MJNDll1/O5ZdfTm1tLXfffXdS1iEiIiKfGDZsmN8hiGQtJZFicd2X4biAbbJYToqUSPBH83vU0fZv7z1M9HuVpJNnEfGJLmcTEUkLuolR+tB7JRKdgGVEAm75s5DOd2dTIsFfsWx/vVexU5JUIsmkz5UuZxMRCbS8vDwADhw4QPfu3X2ORqJx+PBhAHJzc32ORCTYlEQSSbYrJ/kdQXq4c2PnXn+4MTFxZLrObmcJBiWRREQCLTc3lz59+rBnzx4AevTogVmM39uSMk1NTezdu5cePXrQpYtOkUWORZ8QvynBIOIJwmdBCRZJF01xXM6mbvoiIinVv39/gJZEkgRbTk4OQ4cOVbJPJAIlkfymk1YRz9zT/I4gGDFI6v3yVb8jiF1jE8TayFUSSUQkpcyMAQMGUFxc3OGdxCQ4unbtSk5Ojt9hiASekkixuGoqdA3YNbKxnPzoBDk9peMJbjyypZ4iIiKSVXJzczXOjohkjKxKIpnZlUAZ0B94E7jKOfdK1Au4fX16D6ytk3TJFpee4ncEEkS/es3vCBLnqINYe9vH0RMp1uOmmX0D+BFwAvA3YKFzbm3MK5ZA6XT7SURERDJG1iSRzOybwH8ClwMbgauBP5jZKOecLlQOoovG+x2BBN0Db7Y/PZOSBSLtScHlbLEeN83sC8DDwCLgt8BM4EkzO8U599fYgpWgUPtJREREwpnLkjESzGwj8BfnXGnoeQ7wAXC7c255hNf2Ampqamrolc49kTLNN8f4HYFE65EEnD8m6/1ORGwiQG1tLb179wbo7ZyrTcY6Wo5HOUavGJNItc7R27tDW1TxxXrcNLNHgJ7OufPCpv0ZeMM5d3lMwUpgBLH9VF9fT35+PgB1dXX07NkzYcsWEREJqmQe/2Jpx2ZFTyQz6wqcCvykeZpzrsnMngUmt1P+OOC4sEkF4G3YmH19YuyvicZjr/sfg6RGLO91UMXz2Wnrly91fhntSURsIsR5jIh3XU2OWG/PFhZdQZs7zzQ45xrCJ8R63AyZjNdjJdwfgK/GFKgEhq/tp2Oor69v+b+2tpbGxsaELl9ERCSIknn8i+VYnRVJJKAvkAvsbjN9N3BSO+UXATe0nThkyJDERxYvL0so2UDvtUi6KaBVziahDgMfDfHGpolHHbCjzbQbgWVtpsV63AQvpvbKxxur+C/w7aeBAwcmbdkiIiJBlcTjX8R2bLYkkWL1Ez79a2ohcASv8T0Y2J/qoJKsgMysW6bWC1S3dKW6pZ9Y6lUA7EpWIM65Q2Y2HOiawMU2RC4iEpWO2k8fJ2Fdmfp9E0m21htU92yse7bWG1R31d2fukfVjs2WJNI+oBEoaTO9BPiobeFQt/62jera0LX9APuTNd6FX8IubcioumVqvUB1S1eqW/qJsV5Jr7dz7hBwKMmriem4GfJRjOUl+BLSfkpGYJn6fRNJttYbVPeQrKp7ttYbVPcQ1T31olpnTrKjCALn3GFgEzC9eVpoYMjpwMt+xSUiIhJEcR43Xw4vH3LWMcpLwKn9JCIiIm1lS08k8LpXrzKzV4FX8G5R2xOo8DUqERGRYDrmcdPM7gd2OucWhcr/DFhvZvOB3wHfAk4DvpvqwCWh1H4SERGRFlmTRHLOPWJm/YAf4g3y+QZwtnOu7WCRx9KANwBpJo4fkal1y9R6geqWrlS39JOp9TqmKI6bQ4GmsPIvmdlMoBy4Cfgb8FXn3F9TG7kkUoLaT8mQlZ9LsrfeoLpnY92ztd6guqvuAWbOxXaLYBERERERERERyT5ZMSaSiIiIiIiIiIh0jpJIIiIiIiIiIiISkZJIIiIiIiIiIiISkZJIIiIiIiIiIiISkZJIUTKzK83sPTM7ZGYbzezzfscUKzNbZGZ/MbP9ZrbHzJ40s1FtynQzszvN7B9mVmdmj5tZiV8xx8PMrjMzZ2Yrwqalbb3MbJCZPRiK/aCZbTaz08Lmm5n90Mw+DM1/1sxG+BlzNMws18x+ZGbbQ3H/3cz+3cwsrExa1M3MvmhmT5vZrtC+99U28yPWw8wKzezXZlZrZtVmdp+Z5ae2Jp92rLqZWZ6Z3RzaJ+tDZe43s4FtlpF2dWun7C9CZa5uMz2QdRPJZJnQJoskW9pskWRamy6STG3zRZJJbcJIMrnNeCyZ3J6MJBPbm0oiRcHMvgn8J97t9k4B3gT+YGbFvgYWu6nAncDpwFlAHvCMmfUMK3MbcD7wjVD5gcATKY4zbmb2OeAy4K02s9KyXmZ2PLABOAKcA/wTMB+oCit2LfA94HJgElCPt392S220MVsIzANKgZNDz68Frgorky5164n3vXBlB/OjqcevgdF4n83zgC8C9yQr4Bgcq2498L4TfxT6+zVgFPB/2pRLx7q1MLML8L43d7UzO6h1E8lIGdQmiyTj22yRZFqbLpIMb/NFkkltwkgyuc14LJncnowk89qbzjk9IjyAjcAdYc9zgJ3AdX7H1sl69QMc8MXQ897AYeDrYWVOCpU53e94o6hPPvAu8GXgeWBFutcLWA68cIz5BnwILAib1hs4BHzL7/gj1O23wH1tpj0OPJjOdQvtV1+N5T3CazA54LSwMmcDTcBAv+vUUd06KPO5ULmhmVA3YBCwA+/A/R5wddi8tKibHnpk0iNT22RR1Duj2mxR1Dfj2nRR1Dlj23xR1D0j24RR1Dtj24yx1LuDMmnZnoy37unW3lRPpAjMrCtwKvBs8zTnXFPo+WS/4kqQ3qG/H4f+nor3S1d4Xd8BKkmPut4J/M4592yb6elcr38BXjWzR0Pd2V83s7lh84cD/Wldtxq8RnbQ6/YSMN3MRgKY2Xjgn4Hfh+anc93CRVOPyUC1c+7VsNc9i3dwmJSiOBOlN96Brjr0PG3rZmY5wAPALc65/26nSNrWTSQdZXibLJJMa7NFkoltukgyuc0XSba0CSPJtjbjsWRMezKSdGxvdvFjpWmmL5AL7G4zfTfeLx9pKbSzrgA2OOf+GprcHzjsnKtuU3x3aF5gmdm38Lo/fq6d2WlbL+BEvO69/wnchFe//zKzw865VXwSf3v7Z9DrthzoBbxjZo14n7Mlzrlfh+anc93CRVOP/sCe8JnOuaNm9jFpVNdQV+ubgYedc7Whyelct4XAUeC/OpifznUTSUcZ2SaLJNPabJFkcJsukkxu80WSLW3CSLKmzXgsGdiejCTt2ptKImWvO4ExeFn+tGZmQ4CfAWc55w75HU+C5QCvOucWh56/bmZj8K6TXuVfWAlxITALmAn8NzABWGFmu0KNJUkjZpYH/AavK/Y8n8PpNDM7Ffg+cIoL9RsWEfFJxrTZIsnwNl0kmdzmi0RtQgEyrz0ZSbq2N3U5W2T7gEag7V0fSoCPUh9O55nZHXgDcp3pnNsRNusjoKuZ9WnzkqDX9VSgGHjNzI6a2VG8gRa/F/p/N+lZL/Cui367zbQtwNDQ/83xp+P+eQuw3Dm32jm32Tn3AN5gmYtC89O5buGiqcdHePtwCzPrAhSSBnUNO+APw2v414bNTte6nYEXd2XY98ow4FYzey9UJl3rJpKuMq5NFkkGttkiyeQ2XSSZ3OaLJFvahJFkfJvxWDK0PRlJWrY3lUSKwDl3GNgETG+eFupWPB142a+44mGeO4ALgC8557a3KbIJ744Q4XUdhXfwCnJdnwPG4v1q0fx4FW8U++b/07Fe4N2lY1SbaSOB90P/b8f78givWy+862ODXrceeNfyhmvkk++ldK5buGjq8TLQJ/RrRLMv4W2LjSmKMy5hB/wRwJedc/9oUyRd6/YAMI7W3yu78Bq6XwmVSde6iaSlTGqTRZLBbbZIMrlNF0kmt/kiyZY2YSQZ3WY8lgxuT0aSnu1NP0bzTrcH8E28UfFn442Ofjfe7TZL/I4txnr8HG9wsql41082P7qHlbkL72B1Jt6vQS8BL/kdexx1fZ7QnTzSuV5418MfARYDn8Xr5lsPzAorszC0P/4LXsPrSWAb0M3v+CPUbSXeXQhmACfgNZT3AjenW93w7iLT/MXvgB+E/m++o0TEeuANHvka8HlgCt5daR4Kct3wBjd9CvgAGN/me6VrOtetg/LvEXa3jCDXTQ89MvVBhrTJoqhn1rTZotgWz5MBbboo6pmxbb4o6r6SDGkTRlHXjG0zxltv0rw92dn3vJ3y7xHw9qbvGzVdHkBp6IDVgJfxm+R3THHUwXXwuCSsTDe8a+8/Dh24ngD6+x17HHV9ntYNjrStF1439s14jeYtwNw28w34Id4vF4fwRusf6XfcUdSrAG+g0PeBg8DfgfI2B4u0qBswrYPP1spo64HXJfUhYD9QA/wKyA9y3fAaeh19r0xL57p1UP49Pn1QD2Td9NAjkx9kQJssijpmTZstim3xPBnSpouirhnZ5oui3hnTJoyirsdse0RTz3Rsexyr3qR5e7Kz73k75d8j4O1NCwUlIiIiIiIiIiLSIY2JJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIiIiIiIiIiESmJJCIdMrNpZubMrE+Ecu+Z2dWpiktEREREkkvtQBFpj5JIIhnAzFaGDvLOzA6b2f+Y2VIz69LJRb8EDABqQuu5xMyq2yn3OeCeTq5LRERERGKkdqCIpFJnv1hEJDjWAd8GjgPOBe4EjgA/iXeBzrnDwEdRlNsb7zpEREREpNPUDhSRlFBPJJHM0eCc+8g5975z7i7gWeBfzOx4M7vfzKrM7ICZ/d7MRjS/yMyGmdnTofn1ZvbfZnZuaF5LN2YzmwZUAL3Dfu1aFirXqhuzmQ01s6fMrM7Mas3sN2ZWEjZ/mZm9YWYXhV5bY2arzawgrMzXzWyzmR00s3+Y2bNm1jPZG1FEREQkDakdKCIpoSSSSOY6CHQFVgKnAf8CTAYMWGtmeaFyd+L9avVFYCywEKhrZ3kvAVcDtXhdmwcAP21byMxygKeAQmAqcBZwIvBIm6KfAb4KnBd6TAWuCy1jAPAw8CvgZGAa8EQodhERERE5NrUDRSQpdDmbSIYxMwOmA18Bfo93gJ7inHspNH8W8EFo+qPAUOBx59zm0CK2tbdc59xhM6vx/nXH6to8Ha8RMtw590FonRcD/21mn3PO/SVULge4xDm3P1TmgdBrl+A1TLoATzjn3g+V34yIiIiIdEjtQBFJNvVEEskc55lZHXAIr9HwCN6vT0eBjc2FnHP/ALbi/bID8F/A9Wa2wcxuNLNxnYzjZOCD5oZDaJ1vA9Vh6wR4r7nhEPIhUBz6/03gOWCzmT1qZnPN7PhOxiUiIiKSqdQOFJGUUBJJJHP8P2ACMALo7pybDbhIL3LO3YvXzfgBvF+OXjWzq5IZaMiRtqEQ+k5yzjXidX8+B3gbuArYambDUxCXiIiISLpRO1BEUkJJJJHMUe+c+x/nXKVz7mho2ha87sCTmguZWREwCu+gDIBz7gPn3C+cc18DbgXmdrCOw0BuhDi2AEPMbEjYOv8J6BO+zkicZ4Nz7gZgYmjdF0T7ehEREZEsonagiKSExkQSyWDOub+Z2VPAL83sMmA/sBzYiTfoIWa2Aq/b87vA8cCZeA2A9rwH5JvZdLyuxgeccwfalHkW77r1X4fu1NEF+Dmw3jn3ajRxm9kkvOvinwH24DV++h0jLhEREREJo3agiCSDeiKJZL5vA5uA3wIv493Z4lznXHM34ly8O3NsAdbhNSKuaG9BoUEZf4F3nf1e4Np2yjjgX4Eq4E94jYltwDdjiLkW7y4ha0PxlAPznXO/j2EZIiIiItlO7UARSSjzPuciIiIiIiIiIiIdU08kERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJSEkkERERERERERGJ6P8HtrpKORD996QAAAAASUVORK5CYII=\n",
            "text/plain": [
              "<Figure size 1400x400 with 3 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        },
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Predicted Alignment Error\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "image/png": 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\n",
            "text/plain": [
              "<Figure size 1500x200 with 10 Axes>"
            ]
          },
          "metadata": {
            "needs_background": "light"
          }
        }
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "33g5IIegij5R",
        "cellView": "form",
        "outputId": "97b53433-5eba-4913-8cda-d84e6aab61eb",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 221
        }
      },
      "source": [
        "#@title Package and download results\n",
        "#@markdown If you are having issues downloading the result archive, try disabling your adblocker and run this cell again. If that fails click on the little folder icon to the left, navigate to file: `jobname.result.zip`, right-click and select \\\"Download\\\" (see [screenshot](https://pbs.twimg.com/media/E6wRW2lWUAEOuoe?format=jpg&name=small)).\n",
        "\n",
        "citations = {\n",
        "\"Mirdita2021\":  \"\"\"@article{Mirdita2021,\n",
        "author = {Mirdita, Milot and Ovchinnikov, Sergey and Steinegger, Martin},\n",
        "doi = {10.1101/2021.08.15.456425},\n",
        "journal = {bioRxiv},\n",
        "title = {{ColabFold - Making Protein folding accessible to all}},\n",
        "year = {2021},\n",
        "comment = {ColabFold including MMseqs2 MSA server}\n",
        "}\"\"\",\n",
        "  \"Mitchell2019\": \"\"\"@article{Mitchell2019,\n",
        "author = {Mitchell, Alex L and Almeida, Alexandre and Beracochea, Martin and Boland, Miguel and Burgin, Josephine and Cochrane, Guy and Crusoe, Michael R and Kale, Varsha and Potter, Simon C and Richardson, Lorna J and Sakharova, Ekaterina and Scheremetjew, Maxim and Korobeynikov, Anton and Shlemov, Alex and Kunyavskaya, Olga and Lapidus, Alla and Finn, Robert D},\n",
        "doi = {10.1093/nar/gkz1035},\n",
        "journal = {Nucleic Acids Res.},\n",
        "title = {{MGnify: the microbiome analysis resource in 2020}},\n",
        "year = {2019},\n",
        "comment = {MGnify database}\n",
        "}\"\"\",\n",
        "  \"Eastman2017\": \"\"\"@article{Eastman2017,\n",
        "author = {Eastman, Peter and Swails, Jason and Chodera, John D. and McGibbon, Robert T. and Zhao, Yutong and Beauchamp, Kyle A. and Wang, Lee-Ping and Simmonett, Andrew C. and Harrigan, Matthew P. and Stern, Chaya D. and Wiewiora, Rafal P. and Brooks, Bernard R. and Pande, Vijay S.},\n",
        "doi = {10.1371/journal.pcbi.1005659},\n",
        "journal = {PLOS Comput. Biol.},\n",
        "number = {7},\n",
        "title = {{OpenMM 7: Rapid development of high performance algorithms for molecular dynamics}},\n",
        "volume = {13},\n",
        "year = {2017},\n",
        "comment = {Amber relaxation}\n",
        "}\"\"\",\n",
        "  \"Jumper2021\": \"\"\"@article{Jumper2021,\n",
        "author = {Jumper, John and Evans, Richard and Pritzel, Alexander and Green, Tim and Figurnov, Michael and Ronneberger, Olaf and Tunyasuvunakool, Kathryn and Bates, Russ and {\\v{Z}}{\\'{i}}dek, Augustin and Potapenko, Anna and Bridgland, Alex and Meyer, Clemens and Kohl, Simon A. A. and Ballard, Andrew J. and Cowie, Andrew and Romera-Paredes, Bernardino and Nikolov, Stanislav and Jain, Rishub and Adler, Jonas and Back, Trevor and Petersen, Stig and Reiman, David and Clancy, Ellen and Zielinski, Michal and Steinegger, Martin and Pacholska, Michalina and Berghammer, Tamas and Bodenstein, Sebastian and Silver, David and Vinyals, Oriol and Senior, Andrew W. and Kavukcuoglu, Koray and Kohli, Pushmeet and Hassabis, Demis},\n",
        "doi = {10.1038/s41586-021-03819-2},\n",
        "journal = {Nature},\n",
        "pmid = {34265844},\n",
        "title = {{Highly accurate protein structure prediction with AlphaFold.}},\n",
        "year = {2021},\n",
        "comment = {AlphaFold2 + BFD Database}\n",
        "}\"\"\",\n",
        "  \"Mirdita2019\": \"\"\"@article{Mirdita2019,\n",
        "author = {Mirdita, Milot and Steinegger, Martin and S{\\\"{o}}ding, Johannes},\n",
        "doi = {10.1093/bioinformatics/bty1057},\n",
        "journal = {Bioinformatics},\n",
        "number = {16},\n",
        "pages = {2856--2858},\n",
        "pmid = {30615063},\n",
        "title = {{MMseqs2 desktop and local web server app for fast, interactive sequence searches}},\n",
        "volume = {35},\n",
        "year = {2019},\n",
        "comment = {MMseqs2 search server}\n",
        "}\"\"\",\n",
        "  \"Steinegger2019\": \"\"\"@article{Steinegger2019,\n",
        "author = {Steinegger, Martin and Meier, Markus and Mirdita, Milot and V{\\\"{o}}hringer, Harald and Haunsberger, Stephan J. and S{\\\"{o}}ding, Johannes},\n",
        "doi = {10.1186/s12859-019-3019-7},\n",
        "journal = {BMC Bioinform.},\n",
        "number = {1},\n",
        "pages = {473},\n",
        "pmid = {31521110},\n",
        "title = {{HH-suite3 for fast remote homology detection and deep protein annotation}},\n",
        "volume = {20},\n",
        "year = {2019},\n",
        "comment = {PDB70 database}\n",
        "}\"\"\",\n",
        "  \"Mirdita2017\": \"\"\"@article{Mirdita2017,\n",
        "author = {Mirdita, Milot and von den Driesch, Lars and Galiez, Clovis and Martin, Maria J. and S{\\\"{o}}ding, Johannes and Steinegger, Martin},\n",
        "doi = {10.1093/nar/gkw1081},\n",
        "journal = {Nucleic Acids Res.},\n",
        "number = {D1},\n",
        "pages = {D170--D176},\n",
        "pmid = {27899574},\n",
        "title = {{Uniclust databases of clustered and deeply annotated protein sequences and alignments}},\n",
        "volume = {45},\n",
        "year = {2017},\n",
        "comment = {Uniclust30/UniRef30 database},\n",
        "}\"\"\",\n",
        "  \"Berman2003\": \"\"\"@misc{Berman2003,\n",
        "author = {Berman, Helen and Henrick, Kim and Nakamura, Haruki},\n",
        "booktitle = {Nat. Struct. Biol.},\n",
        "doi = {10.1038/nsb1203-980},\n",
        "number = {12},\n",
        "pages = {980},\n",
        "pmid = {14634627},\n",
        "title = {{Announcing the worldwide Protein Data Bank}},\n",
        "volume = {10},\n",
        "year = {2003},\n",
        "comment = {templates downloaded from wwPDB server}\n",
        "}\"\"\",\n",
        "}\n",
        "\n",
        "to_cite = [ \"Mirdita2021\", \"Jumper2021\" ]\n",
        "if use_msa:       to_cite += [\"Mirdita2019\"]\n",
        "if use_msa:       to_cite += [\"Mirdita2017\"]\n",
        "if use_env:       to_cite += [\"Mitchell2019\"]\n",
        "if use_templates: to_cite += [\"Steinegger2019\"]\n",
        "if use_templates: to_cite += [\"Berman2003\"]\n",
        "if use_amber:     to_cite += [\"Eastman2017\"]\n",
        "\n",
        "with open(f\"{jobname}.bibtex\", 'w') as writer:\n",
        "  for i in to_cite:\n",
        "    writer.write(citations[i])\n",
        "    writer.write(\"\\n\")\n",
        "\n",
        "print(f\"Found {len(to_cite)} citation{'s' if len(to_cite) > 1 else ''} for tools or databases.\")\n",
        "if use_custom_msa:\n",
        "  print(\"Don't forget to cite your custom MSA generation method.\")\n",
        "\n",
        "!zip -FSr $jobname\".result.zip\" $jobname\".log\" $a3m_file $jobname\"_\"*\"relaxed_model_\"*\".pdb\" $jobname\"_coverage_lDDT.png\" $jobname\".bibtex\" $jobname\"_PAE.png\"\n",
        "files.download(f\"{jobname}.result.zip\")\n",
        "\n",
        "if save_to_google_drive == True and drive != None:\n",
        "  uploaded = drive.CreateFile({'title': f\"{jobname}.result.zip\"})\n",
        "  uploaded.SetContentFile(f\"{jobname}.result.zip\")\n",
        "  uploaded.Upload()\n",
        "  print(f\"Uploaded {jobname}.result.zip to Google Drive with ID {uploaded.get('id')}\")"
      ],
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Found 5 citations for tools or databases.\n",
            "  adding: test_deb7a.log (deflated 14%)\n",
            "  adding: test_deb7a.a3m (deflated 65%)\n",
            "  adding: test_deb7a_unrelaxed_model_1.pdb (deflated 77%)\n",
            "  adding: test_deb7a_unrelaxed_model_2.pdb (deflated 77%)\n",
            "  adding: test_deb7a_unrelaxed_model_3.pdb (deflated 78%)\n",
            "  adding: test_deb7a_unrelaxed_model_4.pdb (deflated 77%)\n",
            "  adding: test_deb7a_unrelaxed_model_5.pdb (deflated 77%)\n",
            "  adding: test_deb7a_coverage_lDDT.png (deflated 4%)\n",
            "  adding: test_deb7a.bibtex (deflated 53%)\n",
            "  adding: test_deb7a_PAE.png (deflated 1%)\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "\n",
              "    async function download(id, filename, size) {\n",
              "      if (!google.colab.kernel.accessAllowed) {\n",
              "        return;\n",
              "      }\n",
              "      const div = document.createElement('div');\n",
              "      const label = document.createElement('label');\n",
              "      label.textContent = `Downloading \"${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",
              "  "
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
            ]
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "application/javascript": [
              "download(\"download_81cd463d-887c-40c5-aa3a-a6b926a8ef03\", \"test_deb7a.result.zip\", 739564)"
            ],
            "text/plain": [
              "<IPython.core.display.Javascript object>"
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          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "UGUBLzB3C6WN"
      },
      "source": [
        "# Instructions <a name=\"Instructions\"></a>\n",
        "**Quick start**\n",
        "1. Paste your protein sequence in the input field.\n",
        "2. Press \"Runtime\" -> \"Run all\".\n",
        "3. The pipeline consists of 8 steps. The currently running steps is indicated by a circle with a stop sign next to it.\n",
        "\n",
        "**Result zip file contents**\n",
        "\n",
        "1. PDB formatted structures sorted by avg. pIDDT. (unrelaxed and relaxed if `use_amber` is enabled).\n",
        "2. Plots of the model quality.\n",
        "3. Plots of the MSA coverage.\n",
        "4. Parameter log file.\n",
        "5. A3M formatted input MSA.\n",
        "6. BibTeX file with citations for all used tools and databases.\n",
        "\n",
        "At the end of the job a download modal box will pop up with a `jobname.result.zip` file. Additionally, if the `save_to_google_drive` option was selected, the `jobname.result.zip` will be uploaded to your Google Drive.\n",
        "\n",
        "**Using a custom MSA as input**\n",
        "\n",
        "To predict the structure with a custom MSA (A3M formatted): (1) Change the msa_mode: to \"custom\", (2) Wait for an upload box to appear at the end of the \"Input Protein ...\" box. Upload your A3M. The first fasta entry of the A3M must be the query sequence without gaps.\n",
        "\n",
        "As an alternative for MSA generation the [HHblits Toolkit server](https://toolkit.tuebingen.mpg.de/tools/hhblits) can be used. After submitting your query, click \"Query Template MSA\" -> \"Download Full A3M\". Download the A3M file and upload it in this notebook.\n",
        "\n",
        "**Troubleshooting**\n",
        "* Check that the runtime type is set to GPU at \"Runtime\" -> \"Change runtime type\".\n",
        "* Try to restart the session \"Runtime\" -> \"Factory reset runtime\".\n",
        "* Check your input sequence.\n",
        "\n",
        "**Known issues**\n",
        "* Google Colab assigns different types of GPUs with varying amount of memory. Some might not have enough memory to predict the structure for a long sequence.\n",
        "* Your browser can block the pop-up for downloading the result file. You can choose the `save_to_google_drive` option to upload to Google Drive instead or manually download the result file: Click on the little folder icon to the left, navigate to file: `jobname.result.zip`, right-click and select \\\"Download\\\" (see [screenshot](https://pbs.twimg.com/media/E6wRW2lWUAEOuoe?format=jpg&name=small)).\n",
        "\n",
        "**Limitations**\n",
        "* Computing resources: Our MMseqs2 API can handle ~20-50k requests per day.\n",
        "* MSAs: MMseqs2 is very precise and sensitive but might find less hits compared to HHblits/HMMer searched against BFD or Mgnify.\n",
        "* We recommend to additionally use the full [AlphaFold2 pipeline](https://github.com/deepmind/alphafold).\n",
        "\n",
        "**Description of the plots**\n",
        "*   **Number of sequences per position** - We want to see at least 30 sequences per position, for best performance, ideally 100 sequences.\n",
        "*   **Predicted lDDT per position** - model confidence (out of 100) at each position. The higher the better.\n",
        "*   **Predicted Alignment Error** - For homooligomers, this could be a useful metric to assess how confident the model is about the interface. The lower the better.\n",
        "\n",
        "**Bugs**\n",
        "- If you encounter any bugs, please report the issue to https://github.com/sokrypton/ColabFold/issues\n",
        "\n",
        "\n",
        "**Acknowledgments**\n",
        "- We thank the AlphaFold team for developing an excellent model and open sourcing the software. \n",
        "\n",
        "- [Söding Lab](https://www.mpibpc.mpg.de/soeding) for providing the computational resources for the MMseqs2 server\n",
        "\n",
        "- Minkyung Baek ([@minkbaek](https://twitter.com/minkbaek)) and Yoshitaka Moriwaki ([@Ag_smith](https://twitter.com/Ag_smith)) for protein-complex prediction proof-of-concept in AlphaFold2.\n",
        "\n",
        "- [David Koes](https://github.com/dkoes) for his awesome [py3Dmol](https://3dmol.csb.pitt.edu/) plugin, without whom these notebooks would be quite boring!\n",
        "\n",
        "- Do-Yoon Kim for creating the ColabFold logo.\n",
        "\n",
        "- A colab by Sergey Ovchinnikov ([@sokrypton](https://twitter.com/sokrypton)), Milot Mirdita ([@milot_mirdita](https://twitter.com/milot_mirdita)) and Martin Steinegger ([@thesteinegger](https://twitter.com/thesteinegger)).\n"
      ]
    }
  ]
}