tutorial/get_start.ipynb

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   "source": [
    "<!--\n",
    " * @Author: TMJ\n",
    " * @Date: 2023-12-31 16:40:56\n",
    " * @LastEditors: TMJ\n",
    " * @LastEditTime: 2024-01-10 18:38:24\n",
    " * @Description: 请填写简介\n",
    "-->\n",
    "# MolOP Tutorial\n",
    "\n",
    "MolOP supports 4 common cheminformatic file formats now:\n",
    "- Coords file\n",
    "  - GJF\n",
    "  - XYZ\n",
    "  - SDF\n",
    "- QM output file\n",
    "  - G16 LOG\n",
    "  - G16 IRC\n",
    "  - G16 FCHK\n",
    "  - xTB OUT\n",
    "\n",
    "All of them support the basic functions that:\n",
    "- Recognize the molecule and give **standardized SMILES**\n",
    "- Extract the geometry\n",
    "- Extract the charge and multiplicity (XYZ file should be user given)\n",
    "- Provide **RDKit molecule object / OpenBabel molecule object** with 3D coordinates\n",
    "- Support multi-frame molecule in one file\n",
    "- All physical properties are combined with explicit units provided by [pint](https://pint.readthedocs.io/en/stable/index.html), witch can be easily transformed to other units\n",
    "\n",
    "For G16 LOG file (and other QM output files future), it also supports:\n",
    "- Extract the **energy** (and thermal Energies/Enthalpies/Free Energies/zero-point Energies with correction or not), with unit Hartree/Particle\n",
    "- Extract the **partial charges** (Mulliken charges)\n",
    "- Extract the **gradient**, with unit Hartree/Bhor\n",
    "- Extract the **orbitals energies** (alpha, beta) and HOMO/LUMO, with unit Hartree/Particle\n",
    "- Extract the **frequencies** with Reduced masses, force constants, IR intensities, normal coordinates and check if it is **imaginary**\n",
    "- Extract the **Hessian** stored in a flatten lower triangular portion\n",
    "- All frame in the optimalization will be processed by steps above, **not only the last frame**"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Get Start"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [],
   "source": [
    "from molop import AutoParser\n",
    "from rdkit.Chem.Draw import IPythonConsole\n",
    "\n",
    "IPythonConsole.drawOptions.addAtomIndices = True\n",
    "IPythonConsole.molSize = 400, 400"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "`AutoParser` is the unique entrypoint of MolOP, which contains multiple FileParsers. FileParser contains multiple blocks, and BlockParser will process the single block.\n",
    "\n",
    "Thus, if you want to access a certain molecule structure, you need use `files[0][0]` equal to the first frame in the first file."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Batch process\n",
    "\n",
    "MolOP offer batch process functions. You can pass a File wildcard string to read all available files in this directory, then you can access the file parsers like list.\n",
    "\n",
    "The read process is automatically parallelized using all cores."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MolOP parsing with single thread:   0%|          | 0/3 [00:00<?, ?it/s]No version found in /home/tmj/proj/MolOP/tests/test_files/mix_format/RE_BOX-Anion-Real_Cu-III-Phenol_Major-Amide-Anion_From-IP_C-O-190_TS_Opt.log\n",
      "Failed to parse file /home/tmj/proj/MolOP/tests/test_files/mix_format/RE_BOX-Anion-Real_Cu-III-Phenol_Major-Amide-Anion_From-IP_C-O-190_TS_Opt.log with G16LogFileParser. 1 validation error for G16LogFileParser\n",
      "  Value error, No version found in /home/tmj/proj/MolOP/tests/test_files/mix_format/RE_BOX-Anion-Real_Cu-III-Phenol_Major-Amide-Anion_From-IP_C-O-190_TS_Opt.log [type=value_error, input_value={'file_path': '/home/tmj/...only_last_frame': False}, input_type=dict]\n",
      "    For further information visit https://errors.pydantic.dev/2.7/v/value_error\n",
      "MolOP parsing with single thread: 100%|██████████| 3/3 [00:00<00:00, 15.45it/s]\n",
      "1 files failed to parse, 2 successfully parsed\n"
     ]
    },
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       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parser</th>\n",
       "      <th>file_path</th>\n",
       "      <th>file_name</th>\n",
       "      <th>file_format</th>\n",
       "      <th>version</th>\n",
       "      <th>frame_index</th>\n",
       "      <th>charge</th>\n",
       "      <th>multiplicity</th>\n",
       "      <th>SMILES</th>\n",
       "      <th>functional</th>\n",
       "      <th>basis</th>\n",
       "      <th>solvent_model</th>\n",
       "      <th>solvent</th>\n",
       "      <th>temperature</th>\n",
       "      <th>status</th>\n",
       "      <th>is_error</th>\n",
       "      <th>is_optimized</th>\n",
       "      <th>is_TS</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>G16LogFrameParser</td>\n",
       "      <td>/home/tmj/proj/MolOP/tests/test_files/mix_form...</td>\n",
       "      <td>TS_Zy0fwX_ll_ad_14-19_15-16_optts_g16.log</td>\n",
       "      <td>.log</td>\n",
       "      <td>Gaussian 16:  ES64L-G16RevB.01 20-Dec-2017\\n  ...</td>\n",
       "      <td>73</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>C=[N+](C)[N-]C.COC(=O)[C@@]1(OC)C#CC(Br)(Br)CCCC1</td>\n",
       "      <td>rb3lyp</td>\n",
       "      <td>def2svp</td>\n",
       "      <td>SMD-IEFPCM</td>\n",
       "      <td>Water</td>\n",
       "      <td>298.15 kelvin</td>\n",
       "      <td>{'SCF Done': True, 'Maximum Force': True, 'RMS...</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>True</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>G16LogFrameParser</td>\n",
       "      <td>/home/tmj/proj/MolOP/tests/test_files/mix_form...</td>\n",
       "      <td>dsgdb9nsd_131941-4+.log</td>\n",
       "      <td>.log</td>\n",
       "      <td>Gaussian 16:  ES64L-G16RevC.01  3-Jul-2019\\n  ...</td>\n",
       "      <td>21</td>\n",
       "      <td>1</td>\n",
       "      <td>1</td>\n",
       "      <td>CN1[C+]=CC([N+](=O)[O-])=C1</td>\n",
       "      <td>rb3lyp</td>\n",
       "      <td>6-311+g(d,p)</td>\n",
       "      <td></td>\n",
       "      <td></td>\n",
       "      <td>298.15 kelvin</td>\n",
       "      <td>{'SCF Done': True, 'termination': 'Normal'}</td>\n",
       "      <td>False</td>\n",
       "      <td>True</td>\n",
       "      <td>False</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
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      "text/plain": [
       "              parser                                          file_path  \\\n",
       "0  G16LogFrameParser  /home/tmj/proj/MolOP/tests/test_files/mix_form...   \n",
       "1  G16LogFrameParser  /home/tmj/proj/MolOP/tests/test_files/mix_form...   \n",
       "\n",
       "                                   file_name file_format  \\\n",
       "0  TS_Zy0fwX_ll_ad_14-19_15-16_optts_g16.log        .log   \n",
       "1                    dsgdb9nsd_131941-4+.log        .log   \n",
       "\n",
       "                                             version frame_index charge  \\\n",
       "0  Gaussian 16:  ES64L-G16RevB.01 20-Dec-2017\\n  ...          73      0   \n",
       "1  Gaussian 16:  ES64L-G16RevC.01  3-Jul-2019\\n  ...          21      1   \n",
       "\n",
       "  multiplicity                                             SMILES functional  \\\n",
       "0            1  C=[N+](C)[N-]C.COC(=O)[C@@]1(OC)C#CC(Br)(Br)CCCC1     rb3lyp   \n",
       "1            1                        CN1[C+]=CC([N+](=O)[O-])=C1     rb3lyp   \n",
       "\n",
       "          basis solvent_model solvent    temperature  \\\n",
       "0       def2svp    SMD-IEFPCM   Water  298.15 kelvin   \n",
       "1  6-311+g(d,p)                        298.15 kelvin   \n",
       "\n",
       "                                              status is_error is_optimized  \\\n",
       "0  {'SCF Done': True, 'Maximum Force': True, 'RMS...    False         True   \n",
       "1        {'SCF Done': True, 'termination': 'Normal'}    False         True   \n",
       "\n",
       "   is_TS  \n",
       "0   True  \n",
       "1  False  "
      ]
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   ],
   "source": [
    "# give a File wildcard\n",
    "files = AutoParser(\"../tests/test_files/mix_format/*.log\")\n",
    "files.to_summary_df()  # show basic infos"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "G16LogFileParser(file_path='/home/tmj/proj/MolOP/tests/test_files/mix_format/TS_Zy0fwX_ll_ad_14-19_15-16_optts_g16.log', charge=0, multiplicity=1, qm_software='Gaussian', qm_software_version='Gaussian 16:  ES64L-G16RevB.01 20-Dec-2017\\n                22-Oct-2022', keywords=' %mem=30399MB  %nprocshared=8  Will use up to    8 processors via shared memory. \\n\\n # B3LYP def2svp Freq EmpiricalDispersion=GD3BJ Opt=(TS, CalcFC, NoEigenTest, MaxCycles=100, MaxStep=10, NoTrustUpdate, RecalcFC=30) IOp(2/9=2000) Geom=ModRedun NoSymm scrf=(smd,solvent=Water)\\n', method='DFT', basis='def2svp', functional='rb3lyp', solvent='water', solvent_model='smd', solvent_epsilon=0.0, solvent_epsilon_infinite=0.0, temperature=298.15, electron_temperature=<Quantity(298.15, 'kelvin')>, file_format='.log')"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files[0]  # access file parser like list"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The batch object can transform all files into coords files (.xyz, .sdf and .gjf)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 4,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "xyz files saved to /home/tmj/proj/MolOP/tests/test_files/temp\n",
      "sdf files saved to /home/tmj/proj/MolOP/tests/test_files/temp\n",
      "gjf files saved to /home/tmj/proj/MolOP/tests/test_files/temp\n"
     ]
    }
   ],
   "source": [
    "# If file_path is not given, files will be generated in situ\n",
    "files.to_XYZ_file(file_path=\"../tests/test_files/temp\")\n",
    "# If file_path is not given, files will be generated in situ\n",
    "files.to_SDF_file(file_path=\"../tests/test_files/temp\")\n",
    "files.to_GJF_file(\n",
    "    file_path=\"../tests/test_files/temp\",\n",
    "    prefix=\"\"\"# some parameters\"\"\",\n",
    "    suffix=\"\"\"some basis\"\"\",\n",
    ")  # fill the prefix and suffix, then generate new gjf parameters with old coords"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 5,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "chemdraw files saved to /home/tmj/proj/MolOP/tests/test_files/temp\n"
     ]
    }
   ],
   "source": [
    "# If file_path is not given, files will be generated in situ\n",
    "files.to_chemdraw(file_path=\"../tests/test_files/temp\")"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "New .gjf file example:"
   ]
  },
  {
   "cell_type": "raw",
   "metadata": {},
   "source": [
    "# some parameters\n",
    "\n",
    " Title: [CH2]C\n",
    "\n",
    "0 2\n",
    "C           -0.69337   0.00000  -0.00191\n",
    "C            0.79361   0.00000  -0.01847\n",
    "H           -1.10618   0.88657  -0.49270\n",
    "H           -1.10618  -0.88656  -0.49271\n",
    "H           -1.09153  -0.00001   1.02619\n",
    "H            1.35121   0.92642   0.04074\n",
    "H            1.35121  -0.92642   0.04074\n",
    "\n",
    "some basis"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Use code below can create csv table with informations above"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 6,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "summary csv saved to /home/tmj/proj/MolOP/tests/test_files/temp/summary.csv\n"
     ]
    }
   ],
   "source": [
    "files.to_summary_csv(\n",
    "    file_path=\"../tests/test_files/temp\"\n",
    ")  # if file_path not given, summary will be created in situ"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Replace substituents in batches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 7,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f373d9501d0>"
      ]
     },
     "execution_count": 7,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "\"\"\"\n",
    "Author: TMJ\n",
    "Date: 2024-02-17 15:17:37\n",
    "LastEditors: TMJ\n",
    "LastEditTime: 2024-02-20 12:41:32\n",
    "Description: 请填写简介\n",
    "\"\"\"\n",
    "\n",
    "files[0][0].rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 8,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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4Zx2fEaQlYV1dnY+Pj7a29uzZs9+9e6eqqnrs2LGMjIxdu3bhw6jcYcAAlUePvIKCbpqYwIYN3xrDwwEhWLAA1NTg1i3YuROcnMDLS7G83BWgHwA8fw7HjnHNhu8xNDQEgDdv3vBofK6Aw80QWRK2j9LS0rVr13p5eeFtbkzv3r3xg5ycHFFR0W59xLoj1TEsLMzIyOjnn39uqsOMGTOMjIzYfd4YOp3u7e2N3boAoK6ufuzYsZqaGh7bixDL6Q6AVFWRvv7/l4RsP4n4gYoKqqvjhQ1Yqlhb6Z2ToUOHAsD79+/5bYhgY2tru379eoTQgwcPWDMsFosWLdq0aRM/7OosdOhZwuLi4rCwMBUVlaY6hIeHf/nypbS0lNVSWVl55syZgwcP5uTkAICOjs6WLVsWLVqEI0I7jFsAZp8/L83MfCwhEcWW5oVSX/9HaakqAFAokJ0NUVHwn1uNi+jr64uJiSUkJBQXF/fq1Yvr43OF7uB0r66uxvkYHB0dJSUlG3fw9fVNTEycOnXq2LFj2zB+SEjIhQsXXF1dT506FR8f//nz57t3786aNQsAEEKOjo55eXlnzpxp57sQaDrv4efy8vJz5865urrm5+cDgK6u7qZNmxYvXsw+Ve4I6uoAoBqgsq4OAALr6k6yfSdFEfoDP+rfH9LTITKSF4JFo9H09PTCwsIiIiJ++uknro/PFbrDWUKWYNnb23MUrCtXrty7d69nz55tEyxxcXEXF5f6+vri4uLy8nIGg1FRUQEAJSUly5YtExYWvnv3bjdPmd9JBevOnTvW1tYlJSUAYGxsvG3bthkzZvDHlOpqAFgEsGrhQvD1PXz48OG1a1kXP7x9C6NHAwAoK0N6OvAsJcOYMWPCwsJev37daQWrO8yweM2IESNYu0kPHz788OHDwoULS0tLR40a9eXLFwsLC3yG0cHBQUdHh6+W8o1OKlhDhw6tqKgwMTFxdHTEU2K+wWB8e9D8zA6vE9nyT3KXzu937w4zrI5k+PDh+/fvBwAajYYfsOjOTvdOKliampoJCQksLzs/ERH59qCurrluZWUAAJyq3XAFHD76+vVrhBDrCGSngggWd1FQUMBZt8TFxS0sLPhtTmeh84Y1dAq1AgCWy4BtK4ADOCy+f38eWaGmpqakpFRUVJSSksKjW7QT7i4J161bZ2lpGRkZyfHq9evXLS0tj/EsjoTQaeGDYOXk5Ig3wZcvXzrenh/Ams5kZwMA/P47UCisn6HYgQUAxcUAAEZGvDMErwpfv37Nu1u0B+7OsO7evXv16lW8NdyYDx8+XL16NSQkhCv3IggQfFgS9ujRo6nIhrS0NAbLZ8Qz8vPzT5w48enTp2HDhtnb2+Ntl9DQUF9fXyaTOWPGjDlz5nB4WUYGyMpCUVHjK64AuwFg3DhQU+Od2YaGhrdu3Xrz5s3SpUt5d5c2062c7lZWViIsXwEbb9++7XhjuhV8ECwFBYXk5GSOl+Tk5Hg9yaqoqDA2Nl6+fLmlpaWHh8fbt2+vXLkSGBj4559/bty4UUREZO3atQwGY+7cud+9TEoKSkthyhS4dQvExVnNsbGxw4cPB4DdVCrs2sVTyzu5371b+bAeP37Mnxvn50NAAERGQlERCAuDoiJMmgRmZkCjcfEmgYGBN27cGD58+O+//974anFx8ebNmwHAw8NDnO270DF0Uqc77+jZs2dAQIC2tjYAqKioGBoaIoQmTJgQGBiIfZzPnj179eoVS7AWLVqkp6enUVsLmzbBo0egrQ2rVsHIkSAmBmlpqt7evgAUAHB2hokTeWr5qFGjhISEYmJiqqqqOv6D0oDi4uK0tLS0tLS4uLj4+Pi0tLTo6OgePXpMnDhRRUVFUVFRSUlJQ0OjwQP+2sxFIiIicNW4BlhbWz958oQnt2QyYdcuOHQIx9n8n0OHYMAA8PLi4scvOjr67Nmz5ubmHAWrsrLy7NmzAHDw4EEiWB0BVisAKCsr69WrF4VCERMTExMTy8zMjImJefDgwZUrV1id9fX19fX1AQAMDcHeHp4/h61bWVdlABYrKICrK1hZ8dpsCQmJoUOHRkdHv3v3ztTUlNe3Y0Gn0z9+/JiUlPTx48fk5OTExMTk5OQiTktjAGAwGFjIGl/q2bNnv379VFRUlJWVVVVVlZWVlZWV1dTUlJWVO234flM0pb88LHa7fDn4+ICQEKxYAfPng5oa1NZCZCS4u8O7dzBtGty+DdOn8+runYZ2CRaDwbh8+XJkZKSSkpKtrS3+2OXm5np7excWFpqYmMydO7dz7sFjDh48aGtry/40LCxMXV0dZ/ttiLY2PHsGsbEQHAyZmUCng5wcGBrC+PHQUcHHY8aMiY6Ofv36Ne8Eq7i4mDVpwhOopKSkxo5FERERTU1NHR0dDQ0NDQ0NbW3t4uLi2bNnq6ur37lzJysrKycnJycnJzMzMycnJzs7Oysrq7y8PCEhISEhofFNxcXFWRI2c+ZMnmZwFUh8fcHHB2g08PeHadP+366jA4sXw5IlcOUKWFlBYiL8d0y6q9IuwbKysiotLV28eHFQUJCpqWlUVFRhYeGYMWNWrlypr6+/Y8eO5OTkrWzzkc4DQsjJyam8vNzJyYnV+PfffwOAg4PD1q1bmzyxpasLDcrPdaDXxtDQ8OTJk9xyY5WUlKSmprKv7JKSkvBZEHaEhIQ0/kNbWxuLlLq6eoM/RUwmU1lZOT09vbq6muOxhOrq6ry8vLS0tNzc3Ly8PPwv62liYmJiYiIAKCgosATL3t5+y5YtjYfqjLvJvAMhwIGj69d/p1aYHj3gzBl4+RJycuDUKWD7PPORd+/e+fn5TZw4cerUqQDw6dOnkydPfvnyZeTIkTY2NrR2eNzaJVhr1641MDCg0WgWFhZ9+vT58OHDkCFDbt26NXLkSAAQExPbt29fJxSs8vJyGxub2traO3fu4Dl8VVUVnU7HM0QNDY0HDx60dKwVK+DmTYiOru7Tp66uTlRUlGN67/r6+qqqqh49erSz9CErfLS1L6yrq8vKymJ3OTW1cOvVqxe7MGloaOjo6DS10mEymawiZlQqdcGCBUeOHLl48eJoVrQHG2JiYnjAxpcqKirwXCwnJ2fIkCGs9s+fP3PUpk6efJXLxMUBnpauXs25g4QE2NjA3r1w/XpnECw6nb5s2TIJCQkhIaGpU6fm5uZOnjz5999/NzY2dnNzS05OPnz4cJsHb5dg4e8PADCZzPr6eklJSTExMaxWAFBbW8vxgCh/ycvLmzRpUmVlpb29/T///AMAtra2jx492r17t52dHYVCcXNzY5Ug/zFfv8LXr/Dgwa+3b9+/f9/V1dXR0bFxrxs3blhaWmpra8fFxbXH+EGDBvXq1Ss7OzsnJ0dZWbmpbo2XdcnJyY2/5I2Xdbq6ui3MLObt7b1nzx4REREhIaFTp07hT8LixYuPHDly+fLlw4cPtyqdRs+ePbW1tVm+RRbXr1+fPXt24/67du3avXt3y8fnSGJioouLS0ZGxpAhQ3bu3NmvXz8AiImJ8fDwMDY2/u2339o5PtfAoRJKSsDRU4HBZ61jY4FOB07xFh3J/v37R40aJScnh58qKCg8evQI/6EqLy9vxZeLE9xxup89e1ZXV5c9Np3BYPzzzz82Njbs3QwNDZ8+fdqMY/L27du1tbXfnNy8gcFgWFtbN2hcuHAhnlgxmcw7d+7gAIIWMXUq3LwJDx9y18imoFAoo0ePfvjw4evXr+fNmwcAdDo9JSUFaxMWqeTk5PLy8gYv5Lis69+/f9uKvJaXl9va2r5//37w4MHnz59fvXp1VFQUAIwYMUJHRycuLu7x48fTGi9eOhPV1dVz5szZu3evnp7e8ePHFy5cGBIScvTo0QcPHjAYDL5vwn5Hbi4A/CDED1+tq4MvX6CmBv76q6mOn3v23NFo1c9CXFz86H9lCl6+fMmafLBT1+wZtcTExDNnzkRHRx88eBC3UKlUDQ2NwsLC1NRUT0/PdkYRckGwHj9+fODAgUePHrGcGkwmc9WqVYqKig0Eq3fv3hOb3Xw1MTFpvz3No6KiwnESZGho2AqdYoGdNUFBwHvLa2tr09LS8Lp1z549f//9d2JiYgGn/BDy8vKDBg0aNGjQgAEDBg4cOHjwYA0NDS6WoqqtrWUymdjbJSYmxh4samlpuWPHjosXLzYQLIRQUVFRr169GmQHKisr42a22BYjJiYWFRWFhWnBggWXL18GgA0bNmzYsMHFxYXjbxW/avv27QDQ1NLB0tJSX1+fyx/jqip87+b6sFwNFRVQWAinTjXVsURN7dSnT01dlZaWZglWaWlpU0ejmoLJZNra2u7bt481vWJx48aNixcvfv36tZ37Re0VLE9PT3d394CAAFyDAACKi4uXLFkiIyNz+fLlrl+lXUUFtLUhPv7b0RzukZuby+5sYt+tk5CQiI2Nxd2EhYVVVFTYXU7Dhg3jGCLERWRlZV1cXCZMmLBgwYLw8HD2KJClS5fu3Lnz1q1bFRUVPXv2xI0BAQFr1qwRFxcvKipycXGxs7MDAD8/vw0bNoiJiTGZzHPnzk2YMKFtxjCZzIyMDABQU1PjmCutoKCgsrKyd+/eMjIy7O3i4uIZGRnh4eHu7u5Yhn6ImJjY3r17m+mwZMkS/IDBYDx//nzSpEktfBfNgcWxsrK5PqxJk6QkSEvDyZNNdewrLHyytrapq+zh+zNnzrx9+3bjPjk5Of2bODPr6emZnZ2trKz8+PHjjIwMGo2Wnp6O99xXrVq1atWqK1euLFq0KD4+vrn30iztEqxly5Zdv35927ZtYWFhYWFhY8eOpVKpM2bMkJSUnDNnzoULFwDA1ta2i8vWtGkQHw/t2LfKzc1NTk7++B9JSUmpqam1jT5VQkJCWlpa4uLisbGxo0eP3rdv38CBA/v169fxgSPl5eXXr1/fsWOHkJBQcHDw4cOHz507hy+pqakZGRm9evXq7t27CxcuxI3Xr18PDQ1VUVGJiYkZNWrU0qVL6+vr7ezs7ty5M378+H///dfW1jY5Obltn5PS0lJNTU0AwF+Vxh1sbW0DAgL279/feP8nIyPj+fPnFRUV3M2Kx2Awpk+f/uTJk8DAwClTprR3OBzwlZHRXB9c+0tEBOTkgEaDlSub6igN0OS176FQKBwdkc1k0MRe9uvXrwMA/g9NSEhQV1fPy8tTVFQEAC0trczMzJbdv4lbtOfFSkpKDg4O5eXl2Gmip6dHpVJxKgyOO1Bdk6lT4cgRKCxsYfe4uLjIyEh2hWocSUChUPr16zdgwAC8phs4cOCAAQM0NDRoNJqLi0tsbKyZmZmZmRm330lLuXHjRo8ePfDK2traWlFRccuWLbhqDgAsXrz41atXFy9eZAkW/tMFAFQqVUREhEKhYC/s+PHjcf9Nmza9e/eOo8eEp0yYMGHChAlpaWlDhgxZsGABt/aIevToMXbs2KCgoIULF0ZERHAO62s5OIdtQQGkpEBTKUxevgQA0NPj7hmd1rKabR9zy5YtwsLCM2bMSE5OnjBhwurVq5WVlT09Pa3aF2LdLsFydXVt3NjxHzuuExUVlZGRoaOjw6pxX19f//Lly7KyspEjRzb8Mz5+PEhI4OQz6enpL168aDwgjjDCHDp0iPUFxuBIAnaP+KBBg1jrqQbgBAYsG3Jzc9mz8ZaUlDx9+hQfb+QdvXv3Lioqqq6uFhMTw3+r2P1Q8+fPX79+/cOHDz9//iwvL48b37175+HhERwcfOnSJVFR0czMTFZ8A5VKVVNTy8zM7OBPDi6JAgCioqJ1dXV0Op2Lm9rbt2+Pioq6devW3LlzX7161a4Z3JAhMHQofPgAJ0/CoUMcOlRWgrc3AMCCBW2/C7eZPn06nosNHDgwJCTk6tWrSUlJW7dubXhKt7Xwq/pF54TJZFpYWBgaGq5cuVJJScnd3R0hVFlZOWLEiLlz527cuFFJSenu3bsNX9ay/M247M2FCxcsLS137tzp6+v75s2b1hZ/NTc3B0QMz0QAACAASURBVIA7d+40vpSQkKCiokLHNRN5CYPB+O2339TV1WfOnKmsrHzs2LEGHWbOnAkAnp6erJaCgoIHDx44ODiMGjWqtrb22LFjv/zyC+uqvr7+7du32Ue4efOmt7d3VlYWRwOio6O9vb2fPXuGEPr69Sv+9WZnZ3PsjH9j+/fvZ28sKSkZOnTo7NmznZyctLW17ezsEEIfP360s7MbNWqUjo6OnZ1dfn5+K34pjSguLsZr1RUrVrRnHIQQunQJASAaDQUFNbzEYCArKwSAFBVRSUl7b4QQQggnODU3N+d4NSsrC//Cv379ypXbtYrueJawGSorK0eNGnXlyhUqlTp//vyFCxc6ODiEhYUVFRXhHRNlZeVTp07h78D/mToV7t8HAGNjYwMDg8bDfvz4kRWMamVl1Z5ZMf64cMzPc/DgQQcHBy7uBjYFlUo9c+ZMaWlpQUGBsrJy42jYxYsX37t37+LFi/b29rhFXl5+6tSpU6dOVVBQCA8PV1VVTU1NxZcYDEZmZqaqqir7CL/88kszBgwfPryds0hpaenIyMgnT55kZ2efOnUK7+vJyMiwr7XbGdwgIyNz8+ZNIyOj06dPGxoatiuwa+FCCAyEf/+FmTNh1SpYtAjU1YFOh7dv4cgRCA0FERG4cIF3CW87ER2vkYJCXFyclJQUk8lMTEyk0Wi3bt3C86+dO3c27JqUhGdYrgcOcBwK76NxpbAgzuf9+fPnBu0FBQVycnKtna/xiMrKyp49e1IolNTU1Pr6+q1btxYUFCCEkpOTRUVFU1JSKisre/XqFRQUhBA6e/bs4MGD21x+vW0zrA7j4sWLACAqKvr27dt2DVRfj7ZuRSIiHCpjamigp0+5ZC9CZIYloFy5cmX69OkUCmXQoEG///67paWljIyMkpKSN/YXsDNwIIiLQ1UVNJEhk1vU1NR8/fpVRESkT58+DS55eHgsXry4wc49vxAXF//55599fX0vX768bds2eXn5YcOGycrKFhUVHThwAC+UvL29ly1b1qNHD2Fh4YsXL7Z/rzMwMLA3p6O/uEwcv1i0aFFISMiJEyfmzZsXGRnZ+D+upfToAfv3w+rVcOsWvH0LhYUgLAz9+sGkSTBrFnB1Wj116lQpKamm9gp69eqFj4jwJ7y24zVSILh165aiomJGRgZC6P79+xoaGnl5eREREVOmTJk+fXrj/jPU1ADA9aefOI7GrRkWTnyoqanZoL2yslJeXj41NbWd43ORwMBAABg8eDB+WldX9+XLl9raWvY+TCaz/VNC1gyrefg1w0II1dbW4iWnmZlZfX19K16Zl8czowQVMsPigI+Pz65dux48eKCmpgYAgYGB06dPx1VM3N3dtbW16+vrG4ao9OkDnz5BE5lUuUV2djZwcmCdP39+woQJHM8V/xBPT086nW5packxwVNwcHBUVJSurm5royjMzMz69u2bmJgYFRWlr68vJCTUuDgVhULh4pRw8+bNHLf5Ll68mJSUxK27tAEajXblypURI0Y8fvx4z549LT0FGRUF48fDxo3g7AydOEdTR8Nvxexc0Ol0e3t7dXX1Fy9epKam4gBOX19fLS2txMTE6urqP//808DAoPELZ0ydCgCuVCoqKmp8lVszLB8fHwBYvHgxeyODwdDS0goLC2vbmDgiISQkhOPVtWvXAgDeRGstOF/lpk2b2mZYC+nkPiwWT58+FRISolAot27d+nHvnBzUrx8CQJaWqK3evS5Jl45Bbz1JSUnJycmampp79uxZuXLlypUr8/PzFy9evH79eltb2xEjRmRlZXE8r/CtzCqTCTzKkAsATW8RhoeHszJndB4WL14MAJcuXeJFYZHa2tqLFy9W4XN2gsDEiRP37t2LELKxsWHtkHKmqgp+/hmysmDsWLhwgUyv2CFLwu8YNmxYUFBQ4/Y1a9asWbOmmRcKCwuLCAkJ1dfDw4fQqOxljx49REREONZZaRU4arSBYFGp1M6ZYtjQ0HDgwIHJycnPnj2bPHkyt4YtLS29cOHC4cOHs7KyTpw4saAzRUs2j6OjY0RExI0bN+bOnRsWFsbZac1kwqJF8PYtaGrCjRt8zxXT2SAzLO5w69atmsjITQDw4AE0KnX166+/1tTUvHv3rp13acqH1WnBp3Pw1j6LkpKSHTt27Nixo6lEJWfPnt2xY0fjklmJiYmrVq1SUlJav359VlaWrq4uPqEmKFAolPPnzw8ZMiQ2NhafAOfAxo1w5w706QMPHkCjnAcE4sPiHkwmUlZGwsKV79/z6A4jRowAgPZG9HwP73xYCKGPHz9SKBQpKamqqipWI+ucaUVFBcdX4Qwkx48fZ7W8fPnSwsICH/WgUChmZmb+/v44dEtQfFgsEhIS8ObAiRMnGlzy8vI6NGYMU0qKu3FVXQkyw+IeFMqVJUsUaDTPwEAe3aGZMPfOiZaW1siRI8vKyu7du9eGl9fW1vr4+Ojq6o4dO/batWtCQkJLly798OFDUFDQrFmzOnN9k2YYPHjwqVOnAMDBwSE0NJTVfu/ePXt7+81v3gSdPs3rknGCC/FhcRPqiBEFlZUPHz7ElSa5C51O//Lli7CwMOtEMRdxcXFpnHQNuFHKePHixW/fvr148eKvv/7aqhc+evRo37592G2noKCwcuXK33//vXFsBJVKxUfBm0p70qdPH2VlZR6lCXz69GlYWNi2bdvw08LCwnPnzuXm5urq6i5durSpY1KWlpZhYWEeHh4LFy6MjIyUk5OLi4tbvHgxg8HYvXv3FFI0qBn4PcXrUnz9+lVISEhYWLi8vJzrg6ekpACAuro6d4dtyTe5zUtChFBBQQH+nXz58gW3NL8kTEpKYo8I09fX9/Lyqq6ubrMBPCIrK2vUqFHGxsYiIiK4pb6+fuDAgY6Ojg8ePJg5c6atrW0zL6+trcVpNiZNmpSVlYUzyi9YsKDNR5S6CUSwuIyxsTEA+Pv7c33kZ8+eAcDYsWO5OywWLG9v7xhOYK85FiwvLy9PT8+oqKjWhWsjhJPYnTp1Cj/lKFhMJjMoKMjc3Jy10MM7tlx8p9ylrq6uuLg4Pz+fJVgZGRkUCgX/rQoMDNTQ0Gh+hLy8PCzNeOvA1NS0pqaG53YLOMSHxWVwIbaHPChLwdMtQk1NTV1OsC/BDh48uGbNGn19fWlpaVNT03Xr1l27dq2wBZkLcUBWg71CFnQ63cfHZ9iwYT/99FNAQICEhISCggIArF69mo9JCn+IkJBQgzB9ZWXloUOHLl++PDY29syZM+w1ejmioKBw6dIlKpX6+fNnYWHhSZMmFXM70XbXgwgWl8HFF+7fv8/1kfkb04AQ2rBhw5IlS7S0tCorK0NDQz08PObPn48LXlhZWZ08eTI2NpZjjOi8efMkJCRevHiR8X2e3zlz5gwaNEhKSsrKyiouLk5UVHTgwIGmpqaN00MLBEJCQgsXLvzw4YO5uXlISEjz9VYwBQUFTCaTQqHU1tbu2bNHRUVl+vTp//77b+O6R4Rv8HuK19VgMBjYKZ6cnMzdkXGEAc4pyEXaENZQUlISFBTk7Oxsbm4u/X0Opp49e5qYmDg4OPj5+bHnwMHhnW5ubohtSdg87GENnRb2JeGTJ0+UlJTKysoYDMaZM2ckJSWbP9qdm5uLJ7DHjx/39/e3sLBgOelFRUXNzc39/Pw6IB2jYEF2CbkMlUo1MzO7dOnSgwcPBgwYwMWRO0/UqLS0NCvRHYPBSExMjIyMDA0NDQkJSUhICA0NxfMvAFBUVDQ1NTUxMTE0NLx69erFixeHDBni5uaGx6FSqRMnTlyzZk2D5Mi//vpreHg4x1unp6cHBARQqdSZM2fi2i3p6emswwlycnLNZ/7jKSkpKYMHD8YxVlZWVvb29nl5ec2c7l6xYkVRUdGUKVNWrVpFoVBmzZpVUlLi7+//77//Pn36NCAgICAgoFevXubm5suWLZs8ebKAhnFwGX4rZhcEJ8yaOXMmd4fF3+o3b95wd1juBo7m5+ffvn17y5YtY8eObXD0pPH3LSEhgeMgjQNHMcHBwQMHDty2bZuTk5OMjExMTAxC6MyZM8OHD3d0dHR0dDx9+nSL3zcXuHr16sGDB4WEhLy8vMLCwj59+iQrK7t///4HDx4sX77cwMCAwWA09drTp08DgIyMDMc00FlZWceOHWOvb9ivXz8HB4d379790Co9PT09Pb2mcg1t375dT0+P6/P0DoPMsLjP9OnTqVRqcHBwTU1NM2WuW0vnmWE1Q9++fefMmTNnzhwAqK+vT0pKwjOvyMjI+Pj4Xr160Wg0a2vrv/76CwDwXn7LUVRUDAgIwPPW1NTUe/fu6erq5uTkzJgxAyfJ7GCysrK+fPmyadOmtLQ0FRWVMWPGREZG+vr63r59e/jw4e7u7k0VLsvIyNi0aRMAnDx5kuN/qIqKyrp169atWxcXF3ft2jVfX9/U1FQPDw8PDw9tbW0LCwsrKyuOCfYQQtHR0QBQXV3d1K2jo6NzeJxpkofwWzG7JvgMzaNHj7g1YG1tLZVKFRISam1IwQ/ZtGmTvb19U3+Q/fz87O3tL1261P4bbdmyBQCcnJzacDSnAQkJCaqqqi9fvkQIrV69esuWLVevXg0MDKyrq2u/nbyGwWBgfzx7GY4fEhER4eDgwArupVKpJiYmx44dKywsZO/GZDJxhw8fPnAcB5d63bJlS7veA/8gu4Q8AfvdfX19uTVgTk4Ok8lUUlJqpoxl2zh06JCnp2dTyf8sLCw8PT1ZFQZbSFhY2I0bNxokUcG1wXNzc9tsKmbcuHEGBgZjx47FRbqGDRuWm5ubmJjo4uIybdo01je204LLncnLy59suj5zYwwMDNzd3fPy8oKCgpYuXSomJhYaGrp+/XoVFZVZs2b5+PgIUKaddsFvxeya6OnpAYCqqiq3BsTlDo2Njbk1IO+wsbHR0tKysbFRVFRkdyrhukGTJ09u/wyrqqrKzMzM1dWVvbG6ulpWVrYpZ1wnISEhAdcovHnzZnvGKS0tPX/+/E8//cT6AyYjI3P06FEywyK0GiaTib+TmZmZ7SzMzQI7sFrr9Ol43r9/f/HixdDQ0LNnz964cYM9hww+8dce7wleDgOAmJjY2LFjY2JiAAD9l8xHREREVFS0M8dw1dfXW1tbV1dX//bbb+3czZSSkrK2tn706FFBQYGXl5eJiUlpaWnnTIvGXYjTnfskJCSUlZWJi4tXVVU9fPhwxYoV7R9TIDzuAJCXl6eoqIhXxGPGjCkrK/v06ZOWlhb8J1i5ubkyMjL4tHBTZ4OtrKzGjx/fuMKju7t7aGjomjVrampqzp07t3v3bgaDYWpqOmfOHENDw+vXr0tJSbHvrHU2XF1d37x5079//yNHjnBrTFlZWTs7Ozs7u6SkpIY1ybsk/J7iCTYPHz60sLCYOXOmu7s7yx1+7tw5AMDft3nz5nHlRuvWrQOAI0eOcGU03lFcXCwrK/vXX3+9ePFi8+bNPXr0YE82jwMdysrKmhmhqXUiQqiuru6ff/755ZdfLCwsLl++jBsTEhL+/PNPCwuLHTt2sM5Xd0KioqKEhYWpVOpTXua6aqELT3CXhGSG1XaeP39ub2/v6ekpLS1ta2vLYDA2bNgA/6VkmTZtWmRkZFBQUF1dHY1Ga+e9OjgT1rNnzyIiIhQUFObOnYtVprS09ObNmyUlJaampqNGjWrqhTIyMsHBwUePHo2Ojp47dy6NRsMHAzFKSkopKSm5ubnYAd+AqKioX3/9VVVVNTg4mOPgQkJCjXNVDx48eN++fW18nx0FnU63srKqra1dt25dS47stJ9BgwZxTMmdlZUl2CcW+a2YAgyTyWRtKnt4eLAq5eIIz+DgYG1tbQAICAho/71Gjx4NAG0ujdMqtmzZMm7cuAMHDsybN09PT6+uri4vL09dXX3t2rX79+9XUFDw8fFpyThhYWEyMjLsoQbjxo0DgCdPnnDsX1RURKVSRURE2NOTdg1wSMegQYN4/da6vNOdzLDaDoVCYRXyxb4bAKDT6e/fv6dSqSNGjFBUVIyPj7e0tHz8+LGhoWF77tWRPqyJEye6uLjQaDQmkykmJpaamiorK3vy5EmcJUZWVvbMmTNLly5t6uXh4eHy8vKZmZlr167dsmULewHH5v3uvXv31tPTe/fu3atXr7hYtILvhIWFHT58WEhIyNvbG28RdkKYTObt27djY2NVVVUtLS1Z0+rLly8XFBTo6+t3khSvZJeQC+Tm5p47dw4vVWJiYuh0+uDBg6WkpPbu3Uuj0SoqKkxMTFasWNHmDbL6+vqCgoIePXqwL694x7Rp02g0GoPBuHjxooqKipqaWp8+fbBaAYCIiEjDIrLfc+fOnUWLFu3du3fdunVbt25lv/TDjcJJkyYBQFNLQkGkqqrK2tqawWA4OTm1848WT1myZMnFixfl5OQCAgLwX4u6ujojI6O4uLiBAwe6uro2+K/kG/ye4gk8+fn5urq6rKChf/75BwCsra3x0/j4eBsbG+xNEBMTc3R0bENx9k+fPgGAiooKN+1ulnfv3mlqaoqIiDSIcWcwGOPGjWtzHoWjR48CwO+//95UB5z63cjIqG3jd0Ls7e0BYPjw4R2Td6HNS8Lg4GD8oKSkBAC+fPmSmJgoJCRUW1uLELp9+7aOjg4vDW8pRLDaxatXrzQ0NM6dO8dqsbKyAgBPT0/2blevXmX9hejdu7erq2urcv7iUgVjxoxp0B4TE+Pn51dQUNCet9AMHz9+lJGRiY+PZ7Vs3LhxypQpbT4ehH8Pc+fObapDWVkZjUYTEhIqLS1t2y06FcHBsRQKRUREBJ/T7gDa6cOqqKjYv3//qFGjmExmVVVVv3797O3ts7OzFyxYsGvXLl4a3lLIkrDt3LlzZ8KECf37909KSnJycjpw4AAA4LwoDfbRcPjo3LlzJ02a9PXrVycnp4EDB546daqFJZE5bhEWFxfPnj37999/f//+PbfeEYYVe6mlpdW/f/8PHz4AQGVl5eLFixMTE2/dutXm40E/XBJKSkqOHDmyvr4+JCSkbbfoPJSWwrJlw4yNP7q4HNHV1eW3OT8mODh49OjRBw4c2L59O4VCERMTW7169b1794YOHRoaGtpJCtYSwWo7Wlpavr6+q1atMjAwMDAwGDZsWHl5eVJSkrCwcIMPKA50mDlz5pMnT4KCgvT09LKyslauXDl8+PBr16798EYcw9z/+OMPKysrXrjhp0yZ4uLiEhYW5u7unp6ebmxsnJaWZmRklJGRsW7dulevXj19+rRtI7ck2L3LuLEcHCArC5hMzQ0b7PltS4uYOHFiXFxceHj44sWLs7Oznz59ilP45+bm2tnZTZgwoakMEB0Kv6d4XQr8TR41alSDdpxq7v1/BVYZDIafnx/rvLGJiUloaGgzw+LwrkOHDrFagoODBwwYUF1dbWBg8PjxY+6+i9zc3D/++GPmzJkrVqyIjo7G78uODXt7+7aNTKfTKRRK8zknHj9+DAAjRoxoo/Wdgzt3EAASF0dJSR1967CwsLCwsKbiJ1JSUsLCwjIzMxu0s/dXUVF5+vTp0aNHWZE6NTU1VCq1qZQeHQkRLG5y/8SJYQMG/L52LXsjLtMgISHRIPkJnU738vLCp1goFIqFhcXHjx85DmthYQEAV65cwU+rqqq0tLRwRRleCBZPwQlS8vLymupQXV0tKipKpVIbJE5pTFJS0qpVq3bu3MlqycjIsLW1HTly5LRp07ie6bDlFBaivn0RAPrnH36Z0DoYDMbw4cP37NkTFBTk5OSkqKhYVlb24cMHGRmZs2fPhoeHr1mzRk9Pr5l8hB0GWRJyk+lPnsR+/OjxfcJf7NUyMDBoEA0gLCxsZ2eXkpLi7OwsKip67do1bW3tlStX5ufnNxi2gQ/L2dl56NChBgYGxcXF9fX1FRUV9fX1PHxXXOWHq0JRUVEjIyMmk4kTVDTFjRs3Vq9eXVRU9ObNG9xSUlIyduxYJSWlK1eu7N27l2N+u45h9WooKIDJk8FeMNaCQKVSAwMD6XT66dOnGQxGWFiYpKSkjo7Os2fP3r9/f+jQITk5uSdPnjSVj7BD4bdidi1UVREAiotjbytxdb0/cuSjffuaeV12dradnR12ZktISDg6OrJvk2Gp+vTpE346fPhwjf8QERFRVFRsSebcTsKMGTMA4M6dO8302bNnDwCs/X6iypHLly9PnToVP3Z3d58wYQJ3rGwHPj4IAElLo//+uwjcpBNIZpehsBAyM0FSEr4/KCf98uX0iIifNDWbeamysrKXl9f79+8tLCwqKyvd3Nw0NTXd3Nxqa2sZDEZ+fj6VSsWR9AAQHR2d+h9Dhw79999/9fX1efi+uErL/e6tde3Hx8dra2tv3779l19+cXNzY6W1+SHv37+3sbEZPnw4furp6anJBq7b1kJycmDdOgAADw9QVW2V+YQWQQSLe+C1iYEBNNj1f/sWAGD06B8OMGTIED8/v7CwsLFjx3758sXJyWnYsGGnT5+ur69XUFDgeILazMysb9++3LC+g2AlmWmmj6GhoaSkZEJCQuPVcTN8/vz5yZMnOjo6GzZsuHnzprOzc0telZaW5uzsrKOjk5KSglt+++23iP+YN28ezo3TEhCCFSuguBhmz4Zly1puOKE18HuK14XYuRMBoM2bv2vMyEAASFYWMZktH4nJZF6/fn3gwIGs/6ZBgwZx2Vo+gavFLF++vPlueF7zw1zy7EtCW1tbVnDj1atX9fT0Wm5VTk6OuLh4g8aamholJaWmdkIac/w4AkB9+qD8/JbfmdA6yAyLe+CZVIPUK7i+3ujR0JqDoxQKZd68eXFxcR4eHjQaTUxMLCkpSV9f38fHp/PnLG8eJSUlaEHeUZyDpVXRWKNHj8appgAgJiam/RFq3t7eY8aMaeEMKz0dHB0BAE6cAIGa8goa/FbMLoS8PAJAGRnfNW7ejAAQ29Z7yykuLh4zZgwAyMjI4BLBADBs2LBLly5xvXZOh4GLUP3wYBoOtdXU1GyqQ0lJiZ2d3eTJk1VUVOzs7GJjY6uqqgwNDSdOnDh//nxZWdm3b9+23KrGMywmkzlkyJAWZohnMNC4cQgALVnS8nsS2gIRLC6RloYAkJxcw/YJExAAunu3teN9/foV58BSU1NLSUmpqanx8vJiBburq6sfO3asVQcSOwk4Kk1GRqb5bvX19ThDeXp6OscONTU1QWzgoC06nf7s2bObN2+2NvVoY8Hy9/dvHADcFG5uCAApKaGiolbdltBqiGBxiStXEABqUO2ZwUBSUgigtV4NnAECAAYOHMheGbi2ttbb25uVrrNv376urq6VlZVceQft4evXr4cOHXrw4AF+Wlpa6sgGe8Ahk8nExWWbSYWM+fnnnwGA/WA572gsWOPHj/fz82vJa+PikKgoolDQ/fu8MY7ABvFhcQmODqzERCgrAzW1Vnk18vPzJ0+eHBsbO2TIkODgYHZfDI1GW7ZsWXx8vL+/v4GBQUFBgZOTk5qa2q5du/iY99bLy8vY2Pj8+fO4kBcAfPr0ydfXF0eKDRo0iD3gkEKh4PiMvLy85odtxo1VXFxcUVHBLfutra0tLS3pdPpPP/105swZAIiMjPz06VNLCtvU14OVFdTUwKpVMH06tywiNA2/FbOrgH0Y9+5913j+PAJAv/7a8mEyMjKwl1dPT+/z58/Ndw4KCsJOLgCQlJR0cHDIzc1tg+3tpLS0lMlkOjs7r1+/Hrc8ePBg8uTJTfXHZQefPXvW/LA4C4WSklLjSxs3bgSAXr16GRgYWFhYODo6enl5BQUFpaamtuH4SGZmJiuuraioCCFUUlLSwqQ9O3YgAKSujpotrEHgGiRFMjdgMiEqCgDg+0M5nKddTZOenj558uT09HQDA4OHDx+yHO1NYWZmZmZmFhIS4ubmFhAQ4OHh4eXlZWVltX379o6sYCglJdWgJS8vr66uzt3dvaqqytLSssEpmRZuFOro6CgoKOTm5iYnJ7NHeABAbW2tiIhIcXFxZGRkZGQk+yUJCQlNTU0NDQ0c9okfqKmpNVMHpPHvSlpaunnbMO/egasrUKlw4QJISrbkFYT2QgSLG8THQ3k59O8P8vLftbdGsBITEydPnpybm2tqanrv3r3GKtAUpqampqamUVFRBw4cuH79+qlTpy5cuLBgwYJt27ZxLE7TAQwfPnzMmDGysrKFhYUjRoyIiIjQZAv0b2FFVQqFMn78+KtXrz59+rSBYP39999///13cXFxGidiY2NjY2PZ+5uano2Ls9HWBh0d0ND49qOlBS3TJc7Q6bBsGdTVwebNMG5c28chtA5+T/G6BOfOIQA0f/53jXQ6EhFBVCpqQfLMqKgonMZg/Pjx5eXlbTYkNjZ26dKl+JQ1lUo1NzePjIxs82itgn1JyM4vv/zi4uLC3nLo0CEA4Ni5ASdPngSA+Q1+sc1SXFwcERHh5+d34MABW1vbSZMmqamp6eu/AECNf3r1QgYGyMICOToiLy8UFIRSU1EL15T5+WjCBKSjgwRwq1aAIYLFDWpq0OvXqMEJ5PBwBICGDPnhqyMiIvDqb/r06VwpA5Wamurg4IA34ygUirm5eQfUB2MXrPLycuZ/kf0zZsw4ePAge8/Lly8DgIWFxQ/HTE5OBgBZWdl2Jjah01FSErp/H/39N9qwAc2ejXR0kJgYBwkDQGJi6OHDFg3LYKCm0+QQeAIRLJ4RFYXmzWt4UqcRL1++xKu/WbNm1dTUcPH+nz59cnBwwPWaAMDExMTf35+L47PfyNXV1czMzMTExNXVtbi42MbGZsqUKcePH1+7dq2Kikr+91Edz58/BwBjY+OWDK6mpgYAPMqJ/vUriohAfn7I1RXZ2SEzM6ShgSgUFBSELCyQhQU6dYrDqz5//na1wWmrzEw0YQLqxMWnuwIUhBAfFqKdmIKCgtTUVDU1NexqzoNcKgAAIABJREFUaRG5ufDqFRQUAAD07QtGRtCy1z5//nzWrFnl5eWWlpY+Pj7tLxDdmMLCQk9PT3d3d1wNxdjY2MnJydzcnIs15jIzM/GkCbNy5UoJCQl/f/+YmBhZWdklS5Y02D1ITU3V0tJSU1PLyMj44eCLFi26fPny2LFj582bh/3o6urqePLII8rKICcHtLUBAEREICamQfYN+PQJ+vcHAGAwgD1DVGIiDBkCOTmgpMQ767o9/FbMzsWhQ4fU1dXnzJmjrKzcojIhMTFoyhQO6wozMxQd/YPX3rvnaGYGADY2Nrw+alNWVnbs2DFWWcNhw4Z5e3vz63xPdXU1hULBpQ+b78lkMg0NDRtXY+QY0MBFC5OS/v8/OWVKw6v4PDtAQ29XQgICQDk5XDSE0BAiWP+HwWBs374de5Hi4+NpNNoPask9fox69vx2KGPjRnTmDDpzBm3YgBQVEQCSkGjOF3LzJhIWZlIoV5ydma1J5NAeKioqjh07xopE1dDQOHbsGHfXoS2kd+/eAPDDWKe///4bAGRkZJydnVevXj1lyhQtLa2m5qEyMjIGBgbz58/funXr6dOnnz59+ulTfdt8X1iwpKTQ4MEIAF2+/N3VxoI1bhwyMkJ6eggAjRyJjIxQF6qs2LkggsWZgIAAFRWV5qQkLw/16YMAkIUFanA4pqIC/fLLt6wyHP/gXrmCaDQEgP74o1VpZ7gCnU739vZmBQqoqqoeO3asg8/3DBs2DACioqKa6fPx48eePXsCQOMjMjk5OUFBQV5eXo6OjhYWFgYGBo0jp0RERHr0qKfRkIYGMjNDdnbI1RX5+aGICPTDbVgsWL16oZs3EQBSVEQlJf+/2liwAgKQvz86cQIBoAsXkL8/4o23kEAEqxGPHj0yMjKSlpZuvpIN+uMPBIAGD0YcZyjV1WjgQASAGm/e+/oiISEEgBwduWZ068GVe7SxqwZATk7O2dm5DVWp2wZOdxUQENBUh7q6OlzY/YeZs1gUFBS8evXK19d39+7dy5Ytmz3bEs90G/9QKEhZGY0bh6yt0d696NIl9OYNYi95wRIshL6t+Nes+f9VsiTkI0SwGkKn0z99+nTo0CEtLa0m0yEwmd+SyZw82eRAXl4IAPXu/d3n2ssLUakIAHWOOrpMJtPf33/0f9lQpaSkHB0dW5vqoA3Y2NgAgJeXV1MdcL7Q/v37t7MEdGUlio1Ft2+jw4eRvT2aNg0NGPBtdtv4R1oajRiBgoO/E6y4OCQkhKhUxIoM6WDBSo8J8Vo/lf3nzCbzO+4bksIfdZgzofNABKtJZGRkmsyplJz87TPbjK+X9blmlXr/5x9EoSAKBR05wn1z28fLly/Nzc2xbElISDg4OGRnZ7fwtV+/fjUyMvLz82v592fHjh0AsLOJNGERERE0Go1KpQYHB7dwwNaCAxq8vZGjI7KwQAYGSEbm239XSMh3goUQcnBAAEhfH+E6bU0JVkUFuneP84S7PcSH3ttlrsjx59KeZfW1zbpZuxxEsP5PbW3tvHnz3r17x2Qy7927JyYm1uRcIygIASAhoR94oERFEcC3tCOurt9WIx4e3DedS4SEhLAiHoSFhZcuXZqcnPzDV7m4uGClMzU1bWGEKg5ht7W1bXypsrISnyjasmVLq99A+ygsRK9fo8rKhoJVUoIUFBAAOnoUoaYFi0dgwfK0/1YQiMlklhXlv7p1cs+cfrvMFV/6dd6PEy8ggvUd169f19fXl5OTGzFiRGBgYDP9vvtENwUup3npEnJ2RgCoRw/UIdmd2klMTMzSpUtxzTEqlWphYRHPmiRyoq6uzsvLixV8YG5u/sM86Hfv3gWA6dOnN760evVqANDR0eFjesIGgoUQ8vVFAEhSEuXl8VmwWASe2rHLXNFrXaOwiy4NEaw2ERDwrRJ580hKIgA0Z843tfLx6RDjuENKSoqdnR2OIcDHEpuvpVxRUeHq6iopKQkANBrNzs4uv+m0hTjFgq6uboP2R48eUSgUERERHoW2t5DGgoUQmjQJAaAVKzqLYEUE/rvLXPGozbe0qJ8+vA659k9pYW5NZdlr/zN33Dc+8TlQU9nVst4QwWoTb958+8yyb3c3oLwcUSjfugkLoxs3OtA+rpGRkeHg4CAmJoZnTyYmJo8fP26mf05Ojp2dHT593bNnT2dnZ46nI3H9LllZWfbGr1+/4hixv/76i9UYGRm5YsWK+2zZPC9fvrxgwYKFCxfeunWr3e+PMxwFKy4OCQujHj2Qv3+nEKw77ht3mSv+u3MhfvrU969d5oqhN497rDDCHq69P6vW19V2hIkdCBGsNlFV9W2rqZlv75Mn3z7XIiKo2ULHnZ+CggJnZ2dWrFOfPn12797djIs9ISHBwsICd8Y1YhtE1TMYDGFhYQqFwr7umz9/PnaEsTpv2bLFzMxMX1/fzc0Nt9y/f19eXv7evXu3b9/u3bv3ixcvePB2OQsWQsjREQEgHR1+Chajrra4IDP44qFds5Rc5vb/FPdt2osFa/dslZMOP0U/8UsOD4p+0qIUz4IFEay28tNPCABZW3O+Wl+PNDW/rQSDgjrWMl7x5cuXnTt3sk5Ty8rKNkjD0IBXr14ZGxvjztra2g3iP1VVVQGAdaTGx8cHT8pSUlJYfbAm2tnZsQRrxowZhw8fxo+dnZ0tLS25+AZZNCVYlZWof///h0F0pGA1/nFfYZST/P/IWyxYf680ra3mf45/3kFyurcVXJL833/h+XMOV62tITUVAODAATAz61DDeIasrOzu3btTU1NnzZpFpVKLioo2b948fPhwXLmrMUZGRiEhIX5+fpqamvHx8fPnzzczM3v37h2+yl4COjs7e926dQDw999/s6f6a3xCOz4+ftR/CRFHjhwZHx/P7XfZHOLicPhwR97w/wgJiypq6Spq6SpqDpPs3ZdCoRbnZdw/ua0oJ429m6r2aJqoOH9M7BCIYLUVY2OYNQsYDJg5E/7+G8rLv7WXl8M//8CtWwAA06fD5s18tJEXKCgo+Pv7FxQUzJgxo0ePHrGxsSNHjrSxscnOzm7cmUKhWFhYJCQkeHl5ycnJPXnyZOTIkfPnz09PT2flHWUymVZWVsXFxXPmzLG2tm7+7mVlZawpXs+ePcvKyrj9/n7A3Lkwc2YH3xMAoJeCmt3RB3ZHH9gde7jRO2r9ubfaprNykqMubJ1Lr+zoXwIfIYLVSiorYf9+GDIEeveGu3e/tTg4QK9eoKkJAwaArCz8/jtUVoK1Ndy+zW9zeUWfPn3u3btXUFDg6OhIo9HOnz8/aNAgJyen0tLSxp3xpmFSUpKjo6OIiMi1a9cGDx788eNHAMjJyTl27NjTp0/l5eW9vLx+eF8FBQVc2RAAPn/+jAvwcB1FRfDzg/PnOV89dQr8/MDPr1XFvFtNTWVZfMjdpq5K9VGcu+mfnr37VhR/fv+iy37MGkMEqzVkZICBAWzbBklJMHw4WFqChcX/cyNlZEBuLvTvD8uXw4sXcP48CAvz2WAeIysr6+rqmpSUZGdnV1NT4+bmpqmp6ebmRqfTG3fu1auXq6trcnKynZ0dg8GIiYkBgEuXLm3fvh0Azp4927cFxdDGjx+PY7gAICAgYPz48Vx9Q9+QlAQLC5gzh/NVWVlQVgYLC14JVsXXgmeXDrv/NvraX6sKs5Kb6tZDiCanMgAASgoyeWJHp4QUoWgx1dVgbg5JSaCjA//+C/r6/78UEgKLF0NmJgwdCqGhINTkb/Xz589HjhzBj0VERHbv3s1rqzsAVVVVLy+vFStWbN68+dmzZ05OTidOnNizZ8/SpUsbO6H69evn5eXl4OCwZMmS6OhoHJA1bty4GTNmNB45Ojr6ypUrb968SU5O/vr16969ezdt2jRmzJiampq6uronT57givYdSWUlaGpCSQlkZ0OfPlwePC8l9tWtk/GhAUxGPQBo6I1lMhhNdUaI+TUvHQAkpLltRyeGzLBajLs7xMWBnBw8efKdWgGAqSk8fgzi4hAeDmfPNjNGUlLSnTt3DAwMDAwMRrW4/FenIisri2P7yJEjg4ODg4KCdHV1P336ZGVlNWbMmBcvXnDsrKOjc/ToUdbTFy9eGBoaPnv2rEG33r17GxgYbNu2zd7e3sDAgEqlampqxsXFmZqampmZvX//XqnDk3tKSICBAdDp4OPDtTERQmnRLy/vsTq1YdqHF7eBQtE2nWV7+N7SvVf79h/C+SVMxrNLh0sLcyjUHgNGdZFdnZZAZlgt5uRJAIA//uBcxnnAALC3h0OH4ORJWLmyqTFyc3O1tbVZMUoCR3Jy8tChQ6dOnXr06FFc8LUBZmZmUVFRvr6+Tk5O4eHh48ePNzMzO3r06NChQxv0LMAZpQF279597ty5iIiIiRMnmpmZHT58WFdXF19SVVXF0Q/syMvLL1++nNvvrBWsWAH378OpU7BhQ3tXhYz6ug8vbofeOF6YmQQAwmI99c0WGP2ySlquYYrt8q/5AZ5b8OOqsq/5aXHF+Z8AwPTXNX1UOPxHdFXIDKtlpKfDp08AAD//3GSfefMAAGJioOmq8fn5+RUVFW5ubi4uLp/wgALFu3fvaDRaQECAjo7O+vXrv3z50rgPlUpdtmxZSkqKq6urlJTU48eP9fX1V65ciaPbMZWVldu2bQMAISGhHTt2xMfHu7q6SktL487Lli37YSF7PmJuDsrKkJQEL1+2fRB6Vfkb/zPutoa3j64rzEzq2et/7d13WBTXFgDws7B0lKIgIGVDERQLiBoFC8LTiGKLoKKCLQ9ULFhRQgQ7L2oEa7DEZ8Eo1mB9IqIiChZEEBWRpUrvAlJ2d94f12xWWPqyy8L5ffnywezszNkEDjN37j1HfYzT2tV/PJ/guq1+tgKAqvLSl3fOkn/ePblVnJOmzug7bXWAjfPG1gchjkQ9EUxM3LxJAVCyso1NFqyo+Dqh8MmThnaJior65ZdfLly4sGnTJlVV1YyMjHaJtj2RxTdkaXQji2+I/Pz8lStXkpU6CgoKnp6eZWVlFEUtXrwYAMhBuCUxCgoKyGNEAJCXl/f09GxjMaz24+1NAVDz5rXmvcU5abcDvXc4GJD5n0dW2MaGBbMbXkPzpbw0K+k17z956YmVZXVLLZYV5mQlvS7JFb+fqBbBhNU8ZLW+pmYTu5Fedw0X0uRla2sbEBAggNhE4e3bt40vvuH1/v177s5aWlpeXl4AICcnR+aI1lnnnJiY6OjoSEbre/bs6e/vX0vKUHUkaWmUpCQlI/NNndImZX2Mu7J3BSkL42uveWL9lMTorliEry0wYTVPUBAFQGloNLGbjAwFQDVcl6aEZ7H0iBEjjh8/LqgARSIyMrKRxTd1PH36dOTIkdwc5+bmNm7cOADgW8YnOjp69N8N4I2NjRs/skhMmPBPhazGcTjsxOi7p71nctckX9m7Ijf1XfvH2AlhwmqeW7e+LmNu5Jbw8+evt4RRUQ3t4uDgYGdnt3//fhcXF2Nj4w57y9N8HA4nODhYX1+fJJfRo0dfuXIlu4GGyFVVVUeOHCG9UQFASkpKXl5eU1Pz5cuXfPcPDQ01NTUlOw8fPjwiIqI9P0rLXL78taZ/I1dIrJrq2LDgg0tHk1S1a2af24HepflZQgyzs8GE1TxpaV+T0buG/zBGRlIAlIQE1XAaqq6uvnLlio+Pz9GjR8loTudQXV1NFt+Q5MJgMJhMZv3dyGRRGo3G3ZOg0WhOTk58y/7V1NQcPHiQ7N+rVy8RVvWro7aW0tKiACi+WbSitPDxxYN7XcxIqvJfNOzxxYNV5WL/90nkMGE123ffUQDUrl0N7rB27de+dF1VUVERt5+FtLT0ypUredvwlJeXb9iwgZukGAzGhAkTeJsMkhU8n/h1cSgtLf3555+PHTsmxE/TNC8vCoBycflmY1F26u1A7x0z9EmqIsVe2Kx2GYbLzMz85ZdfuHXBWCzW4cOH58yZs2zZsvj4+PY4o8hhwmo2UpRdTY3/QGtKytemqidOCD2yDmTt2rUA0KdPHwkJCQBQVVX18/PLy8vz8/PjbVh/6tQpMpSekZFBWn5xkeeDRUVFov4oTWMyKQkJSk6OKiykKIrKSnp9Ze+KLVO0fe01fSdrnfaemRh9t/3O7u/vb25ubmFhsXr1arJlyZIlU6dODQsL27dvn7KyciMVX8UXJqxmq6yk+valACgzM+r9+29eevWKMjKiAKjhwykR9X/vIEjCmj9//osXL2xsbEgOIskLAMzMzMgNYJ13/f7779x9CBUVFR8fn45/10y6FnqvfXdi/RTeMfW89MT2PjVp2b1582ZuwsrMzOTeMpuZmV0WzyK3jcOJo80mJwchIaCvD7Gx0L8/WFuDuzssXQpWVmBhAUlJMGAAXL4MkpKiDrRD6NGjR//+/cmkKg6HAwBGRkYrVqzgu7Obm9utW7fIzkRxcfGWLVsaWUrdEVRUVOjo3AGAwEDJjHfP5burjp69evXJF9PX7FfT6dPeZ+f9z0X07t1bVlYWACiKKikp6SnwtY4dgagzprgpLqY2bfo63Mr9R0+P2raNKi8XdXCiR66wDAwMyGRRCQmJSZMm7dq1i/tkEPhdYREPHz7s27fvgQMH6pRtYDAYgYGBbJ7ns3p6esrKyk22FCstLd27d6+NjQ13KC09PX39+vVOTk5t/Jg5OTne3t49evQAoANkAVAn9t6oqWpwAm374b3C4goKChowYEAHnL/WdpiwWis5mYqMpJ48odLSRB1KRxETE9OvXz+SZSQlJUeNGrV3797z58+fP3/+1KlTc+bMIX//AcDZ2Tkri8/TfTL79NKlS8BzI0n079+fOxuLVJdvvKB7eXm5paXlxo0b6XQ6mWYRExMzevToZcuW6erqtvozJiUl8XblsLCwsLePB6AWLmz1IdukfsIKCwvT1dXFQXf0rfh4KjOziUaqXQZv4+hmIit1+M5ECwkJAQBdXd36BS0sLS0fPnzYnITFJSMjwzsv7PXr161LWBEREY6Ojtx2jfb29qGhoRRFJSd/HXoXyXOCOglr//79RkZGom2S1q5oFEW16OcMfSUnB1VVUFEB8p25hHbjKIq6cePGzp07o6KiAKBbt25GRkYxMTGDBw92cHCov39OTs7+/ftpNJqDg8OlS5coiurZs6e3t7e7uzudp4jY9evXp0yZwmAwUlJSIiIifvrpp5SUlNraWu4OdDqdxWI9evRo1KhRTQYpKyubmprK7fMaFxc3efLk5q88J23AuZ9RRkZm5syZXl5eJiYm3H3GjYN79+DgQXB3b+ZRBSAtLe38+fOhoaHV1dX29vZLlixZu3bt6dOnV61aRUavLC0tm/PfR8yIOGGKqZKSr42AxdyxY8d++OGHPXv28H2VyWT+8MMPfPszs9ns4OBg7jR0NTU1Hx+foqIi7lNCvgfkThylKCoqKor761Rn8Q25wmIwGNwt2dnZnp6e8t/+bRg7diy36U4jWn2F9fnz58DAwD59+vB+xnx+k1ouXKAAqHptYdtXZmZmII+ysrKgoCDeLc+ePRNqQEKBCatVPnygACgDA1HH0VbNzy9c1dXVp06dMjIyIr/Gurq6/v7+FRUVrTtgSEgI91DcxTf1ExaRn5/v4+OjrKzMzVl0Ot3V1bWhlUBEKxJWTk6Oj4+PqqoqOYuBgQHvZ6yvuppSV298URYSDJzW0Cqk+FwzapB3JuXl5QEBAfr6+vPnz09KSiK/xh8+fFi1apV8a++LJ0+enJCQEBgY2KtXr6ioqNGjR8+cOZMUw2Kz2WnfqqioWLhwYWRkJHfwnsViHT16lMFgbNiwgW//i5aKj493c3NjMBhbtmwpKiqysrIKDg5OTExs/DNKS8P8+QAAx461PQTUKFFnTPFEVr5OmybqONqq+RdE/v7+Kioq5GfGwsLi0qVLbH7rwFtxyUaUlpZ6eXmRpEBvuCg+r3Xr1nFHpgBAQUFh+/btvIsNt23b5ujoKCEhMXny5N9++42iqAULFowfP15eXt7R0fGvb9txk+cGpKwNGVN/0nBds/o+fKBoNEpPj+qMcwk6ECyR3Cpd7wqLxWIVFxdbWVl5enpyf7EFqHv37jt27Fi2bNnWrVuPHz8OAPLy8v9qoAftrVu3WCzWlClTdu7c+eeff27evJlcf3l7e+/evXvbtm1Lly6l0+mTJk0aPny4q6srAJC5XQsWLKitrV2/fj0AkFvR2traa9eu7dmz59mzZwCgqKg4Z86ctWvXcoeumsnICP73Pxg9upEOJEgQRJ0xxZOvLwVA/fKLqONoq+ZfEJWXl0dGRgrwgI3Yv38/8BvD4qozrYHNZoeEhPCmmJ49e548ebLx2nhlZWX+/v7cmvHq6uo+Pj7c8qctUlVFBQdTwcFUbCyfV2tqvr5aXd2KY6Nv4BhWq+TlAQCoq4s6DuFRUFDg1uprhKqqqp6eXkOLQqSlpfX09Bikk2PDmtyhDnLTl5iYePfuXZK2CgoKFi5cqKmpefHixfr75+Tk+Pr66unpeXh4pKenGxkZ+fv7p6am+vr68q7Qbr7SUpg5E2bOhAkToKSk7quVlV9fLS9vxbHRt0SdMcXTjBkUANXxymC2FLkgkpWV7cUP+e1t8oJI4Bp6SsjV+MTR8PBwbt8dANDU1OQWYImNjXV2dubWtLGysgoJCWl7keLc3H+WaS1fXvdVMgcG4GtRB9QWeMPdKuQKqyuNYYkRa2vr169fP3z4cOnSpe/evcvOzp4+fXrv3r11dXWfPn0KAFJSUmSgavDgwQI8L40GPXrA4cPg4gKN9JxksWDmzG+2LFgAU6YIMJDODBNWq5BB985ySzhr1qz//ve/9bfHxcUNGjRI6OEIxpgxY96+ffvkyRNXV9eEhISsrKxPnz5169Zt4cKFa9eurd/uUCB+/hlWr4affoKXLxscfafR4O8Fl1+16ja0i8KE1Spd+AqrrKwsICDgzZs3urq6q1at0tbWBoDa2tqTJ0+Gh4fLyMjMmzevoad7wmdpafnmzZt79+6NGzdOSkoqPT2dd96pwC1bBocPQ1wcHDwIHh7895GUhO3b2y+ETg4H3VuuuhpKS0FKCtrzR7/DsrOzY7PZS5YsoSjK1taWoigAcHFxCQoKmjt37uzZs7t16ybqGOv617/+paamVltbW1lZ2a4nkpaGffsAADZvhszMdj1VF4VXWC2XlwcUBerqbe1T3g5CQ0MvXbpEp9NnzJjBLfhJBAYGpqSkbNiwgbvipHUuXryopaUFAAMGDNi7d29ZWRmTybx9+3ZqaqqgLl7Gjx+fnZ3dyPTRDx8+cDicFj3R09fXz8/PZzKZJPj2M2kSTJoEN2+ChwdcutSup+qK8Aqr5Trq/WBQUJCPj4+1tfWIESNmzpwZwdNJ/f79+wcPHjx8+HDb169oaWlVVFQ8f/58zZo1c+bMUVJSio2NHTp0aHh4+Lp16w4ePNj2AqEyMjIaGhqNFMxUV1fX0NDgbWDRJNKIjMlktjG25ggIAFlZuHwZrl8Xwtm6FkxYLddRR9zt7e2vX7/u5OQ0b948a2tr8kQMAL58+bJkyZIDBw40c8lLk+Li4nbu3BkREWFtbQ0AWVlZ0dHRT548MTc3v3r16sKFCwVyFsEiXaaFk7AMDGDTJgAADw+oqhLCCbsQvCVsuY66LofMTmIymTExMc+fP9/+99AuuewiyUUgRowYcfXq1YKCAj09PRsbG2VlZRsbm927dwPAkCFD+vfvf/r0aUElR0H57rvvQFgJCwA8PeHcOUhMhH37YNky4ZyzS+hYP1XioWNPc/fx8YmNjbWwsOjduzcAvH79+syZM/Hx8Xx3Xrhw4ahRoxp6xs9gMK5du1Zn2SCTySS3VyoqKnJycnl5eQMHDvTz82OxWHQ6PSMjQ1FRUbLjdeIQ5i0hAMjIgL8/2NnBzp0wfbpwztklYMJquY6dsM6cOQMAs2fP9vPz27p164IFC2xtbcPDwwGgpqbm1q1bixcv5pZnMTU15Rbhq6979+5Tp07l3cJmsx0dHU1MTL7//vv79+/r6ekNHTqUTqcbGBhMmjRpxIgRx48f9/b2FvjS6LYjCSs5OVloZ5wwAWbMgMuXwddXaOfs/HAMq8WyKeqLsXF1Oz9saoWSkhLuY3t9fX3SpW7YsGEKCgr37t27d+8ei8WKjIysqalp9SkkJSUfP348YcKEkpKSadOmPX78mNz63blz59///reiouL58+fJch/Bqqio2LBhg6Wl5eTJk0NDQ8nG58+fz5gxw9LS0t3dPY/8FWmYtra2jIxMbm5uRUWFwMNryL59oKgIwcFCO2EXIOq1QeJn3LhxAHDnzh1RB1JXQECAubn5gQMH/Pz8VFVVSYsEXioqKkwmUySxEVVVVWfPno2qV5fzyZMnfn5+CQkJDb1xwYIF3t7eb9++DQkJUVBQSE9Pz8/PNzIyunHjRnJy8vz586c1ozaZsbExALRHOxmylpDvmsv//OefZYZ11hJ++fLl6NGjZ8+e5W6Jjo5etWrVpk2bnj9/LvAgOwdMWC1GFta+evVK1IHwcf/+fW9vb19f31h+hU78/f1LSkqEHxVx9uxZQ0NDPT29devW8W4vKSlhMBgGBgZBQUENvbey8mvLPw6Ho6GhQSopczdevXq1f//+TQZgZ2cHAHXq9glEIwmrtpYaOJBPwrp165aJicmQIUMmTpxItjx48EBRUXHPnj379u1TVVXtrH262gjHsFqM3H2od8gxrLFjx44dO7ahV1etWiXMYOoYM2ZMfHz8jh07qr591O/p6enk5BQbG9vIe+Xk5CorK8PCwq5du2ZhYTFixAiy8cOHD0+fPg0ICPDy8moygPYbd5eRAUdH/vOI6XQ4fBgCAgAApKX/2T5y5Mj4+PgLFy6cO3eObDl69OjSpUvJDXVWVtahQ4eOHDki8FDFHSasluFwOAUFBTQaTU1NTdSxiBnjF9jeAAAcgUlEQVSy6rCOR48e3b17Nz4+3tHRsfG3V1RUPHjwgMlk6ujosFgs8iDyw4cP0dHR5AFlkwG038wGJSUICoKG5rFaWYGVVd2N9Rcwsdlsbn9WU1PTkydPCjjKTgETVssUFhayWKwePXq0aJo14qu6uprMaFVQUGhyZzU1tb1791IUNXjw4CtXrjg5OQGAvb29vb19VFSUnZ2dg4ND408n23XuqL8/BAXB7t0wblwrj+Dq6urg4FBTU1NVVXXt2rVGJvp3ZfiUsGU68v2g2Nm6dauysrKGhsbLly9LS0tTUlJK6tfrBACAFy9ekBtJGo0mLS1dWVnJZrO5U/mlpaWrqqrYbHbjp2u/W0IWCw4ehNevoakQGmNjYxMREaGhoWFtbb1y5UodHR3BBdh54BVWy+Tm5sLfHQ1QG3369ElBQWHjxo0AkJiYWFZWNnbsWL6FmIOCgkiJmA8fPpSVlc2YMSM3N9fFxcXc3FxXV/fSpUuenp5N3hWShJWSksLhcCQkBPmn+uJFSE8HY2P44Yc2HYc7Lc7GxmbixImCCa5zwYTVMniF1Wq5ubmPHj16+/ZtbW3txYsXJ02axFs1cOLEifPmzWuobPy+fftevXoVGxs7duzYcePGycrKKisrx8XFhYWF5efnz5s3z8zMrMkAFBUV1dXV8/LysrOzyTIAQSFj6mvXtqB+R0VFRVBQ0LNnz9LT048ePWpnZycpKXnixAltbe0bN24UFhYuXbpUgBF2GpiwWgavsFqtqKjo3r17ZGjm3r17NjY2vK1J7ezsDA0NG3m7ubm5ubk57xY5OTl7e/sWxaCvr5+Xl8dkMgWYsCIiIDoa1NRg3rwWvIvD4RQXFxsZGRkZGRUXF7NYLHl5+W7dur1//97Ozm7u3LncAXj0DVHPqxAz5PH5tm3byLfJycn29vaqqqra2tqBgYGijQ01ae7cuQBw8uRJAR5z+nQKgNq8WYCHRA3CK6yW4b0lrKmpsbOzc3JyunLlCgAIc80Hah3uMJagDpiSAiEhICMDeAMnHJiwWob3ljAsLIzFYm3evJmM4LZrsXAkEAKfiuXvD2w2uLiAhoagDoka00WnNRQXFycmJmY2UHabzWYnJiYmJibWf1LOe4X18eNHLS2tn376ycTEZOLEiR8/fmzvsFEbCXZmQ1kZkMcGIl1B0LV00YR14sQJExOTxYsX8321sLDQxMTExMSksLCwzku8V1jFxcXZ2dnz58+Pjo42MzMjUxlRR0bmjgqqyExgIJSVwb/+BWLbC038dNGE1WrkCoskrF69ehkbG48ZM0ZJSWnhwoUxMTEcDkfUAaLG9O7dW1ZWNjc3t7zNbePJZFEAWL1aAIGhZsKE1QLl5eWVlZXy8vJkKYmNjc3jx4+zs7MB4Pbt28bGxoKdjogEjkajMRgMEMS4+6VLkJ4OffrAhAkCCAw1Ew66t0CdSVhGRkYbN24cNGiQrq5uVlZWMBZqEwf6+vrv379nMpkDBgxoy3H8/QEA1qwB/CMlTJiwWoD3fpDYtGnTihUr0tPTDQwMZGRkRBcaai6BjLtHRkJ0NKiqtmyyKGo7sU9YRUVFFy5cyM/Pt7S0rNMh/e3bt9evXx89ejQpn9QWHA4nPz8/OjoaAOoso1dUVOzXr18bj4+ERiAJi7R3XrYMmlFmAgmSeCesvLy877//fuLEicbGxq6urh4eHitXriQvsVisefPmffnyhcViNZSwcnJyLly4UH97WVkZ9+vLly+7u7vn5+eTAXVFRcWIiIjTp087Ozt3wFYLqEn1E9bbt2937tyZkpLSr1+/LVu2kNbQb9682bNnT1pa2tChQ729vbt3787dPzUV/voLpKWxf5coiHqqfZuUlpaGh4eTr//888/BgwdzX9q1a9fs2bOXLVu2ffv2+m8kTfSalJube+PGDQCg0WgkPUn/XTXSysoqOjpaOB8TCVBcXBwAmJiYkG8rKiq0tbXPnj374cOHJUuWjB49mqKoqqoqTU1NPz+/uLi46dOnz507l/cIHh4UADV/vvBjR2K+NKd79+7c/qASEhLc7lVJSUn+/v4xMTE7duxo5O1GRkZ82xRXVFRw39izZ8+BAweSn3JHR8dDhw7dvn3b09MzMjJy+PDhDg4Ov/76K3nwhMSCvr4+jUbjFpmRl5dPSEggF1Cenp6GhoZsNvuvv/5SV1f39PQEgP379xsaGu7fv19VVRUAPn8GUgrUw0OkH6PLEnXGFIza2toxY8bs37+foigOh2Nra3vkyBGKohq/who/fjzfo5GngQCwYsUKUopXX1+ftwlNeXm5j48PyY9ycnKenp6lpaXt88mQ4JHHJhkZGXW2P3z4UEdHh6IoX1/fhQsX8u7PbWNz6FAxADV2rNCCRd/oJI9k3d3dZWRkSAmh48ePM5lMCwuLly9f5uXlZWVlcRNQSx04cIBGo61cuTIuLo53RF9BQcHX1zcpKcnZ2bmqquo///lP3759jx492mTRS9QRrF841WuOZW3xNwuzqqqqvLy8Vq9eDQAVFRW81V3k5eU/f/4MAGw2e/du8759XTZsKBByzIgQ+4RVXl7u5OT06dOnq1evkpqTycnJBgYGXl5eGzdujIqK+t///vf48ePmH7C4uHjdunXka1NT0ydPngQEBPAtOq6trX369Ono6GgrK6usrCw3N7dhw4Y9ePBAEB8LtSN9NWnpspTS3DTulpqaGmdnZz09PfLQRkNDg/tHjjwg1tTUBIDLly+npqay2dHjx6uKJHIk3reETCbT1NTUzMzs/PnzwcHBwcHBHA6Hd4eW3hIGBwfztsPJzMxsThgcDic4OJhUAgAAe3v7pKSkVn8o1N7Cz+72tde8f/ZX8m1mZuaIESOWL19eW1tLtrx69UpFRYX0cLxz546uri6LxaIoavjw4QBARhuQSIj3FVZWVpaVldWwYcPu379PurFTFMW7g5WVVZ0ylQ1JTU2dMGHCzJkz8/PzudMgmtkah0ajOTo6JiQk+Pn5de/e/caNG/369XNzcysowBuHjkhZQwcAinPSACA9PX3w4MEZGRk1NTXu7u5ubm6ZmZlmZmaTJk0aOXLksmXLXFxcduzYISkp+fz586ioKFVVVWdnZ1F/gi5M1BlTNHivsNhsdmBgIOkTp6ysHBgYmJOTQ/7j5ObmtvTIWVlZrq6uZKheVVXVz8+vurq6HT4Bar3U+Ke+9prH19pTFFVYWBj8reLiYoqiOBzOgwcPTp8+/f79e/Iu0jnRy8tLlKF3eV00YR09epTBYLi4uMTFxX3//fckPdnb25N7wIKCAgaDwWAwCgoKWnf8hISECX8vijU2Ng4ODhZo+KhNygqyfe01d88d0Py3pKam0ul0KSmp+s8WkTB1noT18OHDU6dOxcbG8n01MzPz1KlTly9f5m6pqanx8/MjE0E1NTV5XxKU0NBQ7qodW1vb169fC/wUqBU4HM72H7/ztdesrvzczLesWbMGAJydnds1MNSkzpOwyBX7L7/8wvfV69evA4Cenh75NiIiom/fvgBAo9FcXV3bbxZVTU1NYGAgWX4oISHh7Oyck5PTTudCzXdw6Whfe82clLfN2bmsrExJSQkAnj171t6BocaJ96B7K3A4HLIC4927d/369Xv8+HFgYCDvSjHBkpKScnV1TUxMJJ0+z5w5Y2ho6OvrS/oYI1FR0dCDv8fdm3T8+PHS0lJra+uhQ4e2c1yoCV0uYUlISLDZbDqd7unpGRMT01DnTsEio+/x8fGOjo7l5eVbtmzp06fP6dOnKZ5nmkOGDJGQkDhz5gzfIwQEBEhISIwfP14I0XYFKhq60LyExWazDx48CACrsbRoB9DlEhYA/Prrr7GxsX5+fkKuYNWnT5/g4OB79+4NGjQoIyNj/vz5I0aMePLkCXmVO4OM73vJS1iCWVBUepErrPQm97x69SqTyTQyMmpp01bUHrpiwlJRURFhBStbW9uXL1/+/vvv6urq0dHRI0eOnD9/Pq7pEbLm3xLu27cPADw8PLD+dUeA/w9EQFJS0s3Njclk+vj4yMjIsNlsMm8LCU0zbwlfvHjx5MkTFRUVFxcXocSFmiDe5WXqCw0N5dsQRYDNfgWFrKCeP38+1lYWPhUNPaDRSvIyKIpDozX4Z3vPnj0A4Obmpqio2KLj5+fnp6enMxiMHj16kC2pqalJSUkDBgzQwJ6rbdDZElZUVFRUVJSoo2gB7gpEJExSMnKKymrlxXmfC3O699Tiu09mZuaVK1ekpKSWtbC0KIfDmTJlysePH3fv3r1gwQIA8PLyOnPmzKhRo+7du7dr166GGmKiJnW2hOXs7Ex+ROqIior6+eefhR5Oi2VkZJBigXWQZmKd3qxZs16+fLl9+/bZs2fXf/X8+fPe3t4WFhZ8C1u3lIqGbnlxXnFOWkMJKyAgoLa2du7cuTo6Oi068oEDBzQ0NLhXUhkZGQEBAe/evdPV1X306JGDg8O8efPwsrp1OlvCYjAYNjY29bdXVlYKP5hW8Pb29vb2FnUUIpOZmZmcnFxaWsr31dLS0uTkZN6uRW2hoqGX8e5FcU66Xn8+Jf/v3r27d+9eAOB2CajD3Nw8Kyvr/PnzY8eO5d2enp6+a9euqKgo7jSI+/fvDxs2TFdXFwBGjx4tJSX16tUrUvgBtVRnS1jizsrKinRJqOPdu3cvXrwQfjydmIoGAxoedw8JCaEoSkpKatiwYXx3yM/Pz8vLq66urrN9+fLlGzdu5K2anZ2dTcppEZqamllZWW2LvevChNWxuLq68n0g5e/vjwlLsFR66bA4VPKHt91fvszKysrOzub997t37wCgpTduZ86cSUtLW758Oe9GeXn5L1++cL+trKxs6RA+4sKEhTq54uJi3kzEZDLJFxnpafkFBdStU7DtVEPvraioiI6O5tbzaNLx48cLCgqMjY0BIDc3NzIyUk1NzcjIaP/+/WSH8vLytLQ0Q0PDtn+urqmjJ6z09PTCwkIjIyPeP0olJSVJSUlqamrYrgZBvZTE++/09HQWi9XIe+WkJfsNMNPU1NTS0uL9982bN318fCiKGjVq1MmTJ+fOnducSB4+fMj9evr06VOnTp00aRKLxWKxWHv27JkzZ86uXbssLS353vWj5ui4CYt0Qn39+rW+vv6LFy+Cg4PHjBkDALt37969e7eFhUVBQYGfn5+tra2oI0V8nDt3buvWrSUlJX379j18+HDfvn1ra2vXr19/7tw5RUVFJyen7du3N9SJtrq6mu9kOt4Bo23btt25cyczMzMnJ6empqahMGg0moaGhqamZu/evbW0tLS0tHr37k2+7dWr14nlVuyaqo0XwmXku9V5I3fgv7a21tnZOSkpycfHp0Wtcw0MDMgkLDqdfvPmTU9Pz6NHjw4ZMuT06dPNPwiqo+MmrKysLAaDERQUJCkpGRAQ8Msvvzx69CgyMnLXrl2vXr3S09Ors7+VlZWEhMSAAQP4Hq13796zZs3irdfeCWRnZ//666+JiYmGhoYbN24kLYu3bNmSkJBAdlixYsWoUaOEH1h+fv6xY8fu3r2ro6OzefPm5cuXh4WF+fv7h4eHx8fHUxRlbW09ZMiQ6dOn8337qlWrVq1a1fgpmEwmdxmmrKxsnesjfX198oWOjk4jda5VeukUZCSV5Gb0+o7/Ui06nc5isWg02pYtW169euXv78/tfdnkuk4y6ZQwNTUlHXlRG3XchKWrq+vn50e+NjY2LioqAoArV67MmTNHW1s7KytLQ0ODd3lX4z/l5ubm58+fb++YhYnNZo8dO3bRokXOzs5//PGHvb19TEwMAFy8eNHDw4PcLJuYmIgkNjU1tfDwcPJ1nz597t69CwAPHjxwcXEhkxIWLVp04cKFhhKWoaEh3+ngOTk5Hz9+JF+vWbNm8eLF5FqJm0RaSlWDUZCRVJyT1lDCIreTJDeFhISEhIS07kRIUDpuwuJ18+ZNcj+YlpaWl5dnamoqISFRW1t78+bNPn36iDo60ZCUlHzw4AH5xTYwMFBWVi4sLOzRo0dWVtbUqVM7wrVkWFjY3bt379y5c+TIEQDQ1dUl9WABIC8vLyMjo6E3rlu3zs3Nrf72wMDAJUuWkK8bupRukSZXFEpLS+vp6SUlJUlLS/fq1cvU1JT7Unh4eP05Dai9iUHCCg4OvnLlCrl8qK6u7tev34MHDyQkJNasWfPzzz9fvHhR1AEKRlRUFIfDISWb61uxYsWSJUvqrJHmXobk5OTIy8srKSlVVVWVlJQEBgYymcwRI0YsWrRIhMuq5eTktLW1ZWRkHj9+bGlp6e3tPWXKFAMDA0lJSQaD0erLIgFS7qULAMW5DaZOJSWlt2/fjhw5Mjo6ety4cSdOnOC+pK2t/enTJ2FEiXh09GoN586d27Bhw927d8mthLa2tpKSErkT7N+/f2f6iZGWlpaVlW2ohomkpKSsrGxDwzHbtm1bunQpnU6XlJQ8cuSIubn5rFmzDh8+vHnz5vYMuQmWlpYrVqw4efKkr68vh8Pp3bv3y5cvnz17lpiYOGzYsI6wiLI5RWbodPp///tfOTm5P/744+rVq8IKDfHXcRNWbW3typUrd+zYcf36dS0treLiYgCYNWtWUFDQhw8fcnNzjx49yts+vmuiKMrLyyszM3Pr1q0AICUl5ebmNmnSpB9++GH79u3BwcEiierz588nT54kX2dlZcnJyXGfr/Xs2TMnJ+fkyZMzZ84USWy8VDVJwkptfDcTE5Pt27cDgLu7e2FhoRACQw3puAnr5s2bN2/erKqqmjZt2pAhQ4YMGVJTU2Ntbb1q1app06aZm5sPHTpULNYzt5+ysjIHB4d3797duHFDXl4eANhsdmZmJnk1KyuLNL8QPhaLdfbs2f79+0+cONHJySkgIIBGo8XExJiamtrY2JiZmbm7u3eEcs9fi8zkZlCcJgooenh4jBkzJjs7e8WKFcKJDfHVccewpk2bNm3atPrb169fv379euHH09GUlJQMHz68uLh4wYIF5O//Tz/99OnTJwcHB0dHR1lZ2aCgoLNnz4okNhUVlbCwsOTk5KKiImNjY9LjY/DgwWFhYdnZ2YaGhqRtrcjRpWUVVdTLi3LLCnOU1Ho3sqeEhMTJkycHDRr0559/Tps2rSNcHnZNHTdhocbR6fRt27bxbunevbuhoeGrV68iIyM/f/788uVLbW1tUYUHAAYGBgYGBrxbeIuudBAqvXTLi3KLc9IaT1gA8N133/36669Lly51d3cfPXq0cMJDdWDCEleKioqkFWMd2tras2bNEn48AhEUFFRZWUlmwNY3a9asUaNGkZtfQVHR0Mt497w4J50xoOn+SW5ubiEhIbdv33Z1dRVgDKj5MGGhDqTxxaHKysrKysqCPaOajlGP3gb1H85aWVmlp6fXmRRCo9GOHTs2YMCA69ev+/v7//jjjx1hvluXQmuorxRCiK9Tp04tWLBASUkpLi6OlOVDQoMJC3VFceGX0t8+434rI9dNVrG7psFA/UEjJegNrj3kcnBwuHz5sq2tbWhoaItWRKM2woSFuqLrB9fH/C+o/nYltd4/rjuk249/lVGu/Pz8/v375+XlHT58eOnSpe0TI+IDExbqikjC6jdyssUP8wCAzaopzk57fvtUQUaSjHw39yOPuqk2UTn+2rVr06dPV1BQiI2NxYJ8QtNxJ44i1N6U1XX0zUbpm40yGmI7bPKiRf/5S0GpZ3Xl5/gHl5t877Rp05ycnCoqKhYsWICNu4UGExZCX8l1U9Y2GQwARdlfVxcWZCTlMBMAgOKwU+Mi3zz6K4f5hrv/wYMHNTU1X7x4QVbmIyHAaQ0I/aOsIBsAFFXUybdXfluRk/xm6aH7F/3c8tMTAUCv//AFu66QV1VVVc+dO9ejRw+B1LpBzYEJCyEAAA6bFR1yPDs5ni4tO2jsDO52iuKc8nKUkpYdZr+Qw2ar6XxTf83a2rqiooLUhnRwcKDT+fxC3b9/Py8vb8iQITjU1XaYsFDXlfA4JIcZDwC11V8KPzEry4p69NafvHy3iiaDdzdVTT3nreelZPnPsM/Pz3dycgIAe3t7vv27fH19IyIiDh06hAmr7TBhoa6rNC+zNC+Td4uEpFRpft0ia99P+amhbIWEDBMW6rqGTV40ds56AGCzaj4X5SW9uPf40qGrv60sycscPcuDuxuNhs+mOgr8P4G6LrqUrKyikqyikoKymoa+6aiZq6as3AMAjy74f/lcLOroEB+YsBD6h9EQWwBg19bkZySJOhbEByYshP5RVf61fypdin83ECRaOIaF0D+eXjsKADIK3Xsx+HcqbISPjw/fLiGpqaltDwwRmLBQ11X46ePbx9cBgKKo0oJPH1+Gp7x+DADWTmslW36F9dtvvwk+RPQtTFio60qMvpsYfZd3i4xC9zGzPIZP/Xcrjnbt2jW+zRbXrVv35s2b+ttRK2DCQl1R3xETVTUYvFtkFbsr99LV7TuUd8rV9/aLyovzezH6NueYtra2fCeO7tixo23Bon9gwkJdkaHFWEOLsU3uNsgWu+N0LPiUECEkNjBhIYTEBiYshJDYwISFEBIbOOiOUJsoKChMnz4dAPgWwwKAMWPG9OzZU19fX7hxdU7YhAJ1aampqQEBARERES9evCBbzp49+9tvv5WUlFhaWu7btw9bpXYoeEuIuq7MzEw3N7eePXu+evWKbHn//v3vv//+559/xsfHczicTZs2iTZCVAdeYaGurrCwUF1dndv5hqIo0ht17969jx49+uuvv0QaHfoGXmEh9A0ajRYaGurr63vmzBkfHx8BHvnz589TpkyZPXs2+ZbFYp0/f37atGlJSVjKprkwYSFUV0VFBYfDYbFYKSkpAjzsxo0baTRaREQE+dbOzu7evXtRUVEFBQUCPEsnRyHUtRUUFEhISNTffv36dSMjI0Gd5enTp/r6+tHR0VpaWrzb+/bt++TJE0GdpdPDKyyE/lFcXHznzh3y9efPnyUkBPMLUl1dvXjx4v379ysoKAjkgF0WzsNCXdq///3vpKQkiqLGjRv3448/jh8/3sPDQ1tbW01NLTQ0NDAwUCBn2bFjx8CBAydNmpSQkCCQA3ZZ+JQQdWlv37798uUL+VpdXV1HR4fFYr148aKiosLMzKxHjx5tP0ViYuLAgQOXLVumoaGRm5t74sSJ3bt3u7q6klf79et34sSJESNGtP1EXQFeYaEurV+/uqWQ6XT68OHDBXgKCQmJrVu3CvCAXRleYSEkPAkJCePHj//06RMABAUFPXr0KDg4eMyYMcOGDfPy8hJ1dGIAExZCwlNRURETEzNq1CgAeP/+fWbm177T3bt3HzZsmEhDEw+YsBBCYgOnNSCExAYmLISQ2MCEhRASG5iwEEJiAxMWQkhsYMJCCIkNTFgIIbGBCQshJDYwYSGExAYmLISQ2MCEhRASG5iwEEJiAxMWQkhsYMJCCIkNTFgIIbGBCQshJDYwYSGExAYmLISQ2MCEhRASG5iwEEJiAxMWQkhsYMJCCIkNTFgIIbGBCQshJDYwYSGExAYmLISQ2MCEhRASG5iwEEJiAxMWQkhsYMJCCIkNTFgIIbGBCQshJDYwYSGExAYmLISQ2MCEhRASG5iwEEJiAxMWQkhsYMJCCIkNTFgIIbGBCQshJDYwYSGExAYmLISQ2MCEhRASG5iwEEJiAxMWQkhsYMJCCIkNTFgIIbGBCQshJDYwYSGExAYmLISQ2MCEhRASG5iwEEJi4/+Bw4jYbhojCwAAAwR6VFh0cmRraXRQS0wgcmRraXQgMjAyMy4wOS42AAB4nM1UeUjUQRR+ruvub3d1d93WM03XI08woxBLdyYxSyFJw0xLtAOjQw27tBKVyiiVNNNM1hLz6MCKbFMod55nFoaSkV2K0GlSakKIlLWbiREE/tmDj4/vzfBm3veGGdHVDYA+ZDAb3np46ZFlJAB3Q4LPTTNvrnqu7DzNRjP8r31C8DQs/534MXui0e8K/zvPODWjJZ5e+r4M2pjH8fg8MOGDwASEfOCEIOJALAKJGEwlYCYBqQRkUs5YxgcLAEsAKwBrAdgIwFYA84VgJwR7DhZw4CACRxGoxOAkBnM5x1OYwzxzUM4DZzm4yMFVAQsV4KYEdyV4KEHhCUr9DYDjy6QSsYgTWtnyDF5PA7yb2x+g6U0/YngQFX5afLr3lrpfqyHsyRUcL9rJHrZeJxYpN3B12yBrsuaRz0ElSKsusgEHH9qprUf/cxw+WxVDNUkNOGwXh/lxy+iWiUKsqv5yb8/Z3TQsJBwbh3zU/pp8mhCzHL83uzPVWy3lHH0xuF+CHxbV022Cj0zV6YV5FgU0b9yvqcZtlGWnFVOlUyfbFFWMOVHnKF9lj28qrHFT1Fr6et0GjAgfZRuD3Glqkh3eGL7PSMpD9VRGJTNOeMUOvtxPlpR/0tm0i1mYSzlpmYxmY+WLcefzDnI7oJ7BvmysrT9NjLu7sCb4HZnsMQlc6jKEJpim1tvQdOrAHSxI7FKfmIphbUEtqBLGY2HjCEmdKkWzk5kYk0voIs9ujM0+jIXBW2n+ylIMORJPMu+toulnrmEfWup2NeTTjOvhGK8tI32XSmlEog1+S6kO9HVNptIwwI3ns3TyuFbaFpuMtrlfdaOWj6jc2RabIp2wIPQx3b45BWvTPbBEVUdbs71xzYQFGxxvDTAtWoHRaTaoeJEaOJycw1w069VZGYOkyLpN3dMTzSRbh8n7yAUonTiGR/svE9/eC2xHx3Ec6AwIjL0bx0LLy1BT2Uv++BDg6tihX/M3wPInbeEVhgrBJUoAAAQzelRYdE1PTCByZGtpdCAyMDIzLjA5LjYAAHicfVZLbuU2ENz7FLyAhf7x04ssxvZgHARjA4kzd8g2yP2R6qYsUkkQ2SL0+ErN6l/1eyhx/fryyx9/levSl4eHUuh//t29/FAievhe4qE8ff3281t5/vjy9Lnz/P7728dvxayY4h383bFfPt6/f+5weS6P7VCq6gAenXvF9iMdlNd6V8p7eaxHa0oWSLVR8cCHiOkO1DBZYbKLpCXnphJIbVXrhrRp0oYoA8lHr9WTRqXBviFr2LSjeW09kWJdcKgcXdP4hWwnTa4Odo9ysJoEq0O9Em/IPnl2FQ6P9bBqw8OmM3vbkGOeXmG0z9iINwmbzVvdkR5IRUjOIDHiCZN2mNQbTRB5DnYuXWe8W3XBLqgPkxuUJ7S3Xsd0aVQdAUW0+g0qAeVjyIjTAIUxSgKVBJnboFqe/kxfzHxGf/QWDBDmTjf/2RLLiIBGziMTuHpgu/gtU1wnW6uVZwJ0IMERLKlV9gRwm9GCLywng66ZgSZOe6VwP62a8aBJhcfIOvQMxoKO8pYV0txmrXThllA4ldDy/PrtJ75eyKTRYS1DhadqQn2Wdg8vVw9Q2KZjmGYdIilOUTPgg9LmT9uPl3HhmREj1ExGjlBmHG+wyN24lNfoxYDm6d2HB+Ag/QdSA9kPGdkOhG4Qn71GTeqtay2gqHLiaUvdz7YclSOZC1rn+XC91dkQyFxSHV3GXmfSAork4+uWUFjtlr3jMvZ0SD+9isxOqHjvUQ+oENrLTMZptQ5LFcCxIQeKUNHdqE+vtHGb3cOWahONNtruFf5fZ0tCDzKnNFrLyu13gVMOJOrV25hhH9RHHI8Cot19lYkk5HLGUioz3mkHE552qM7je6QooQhpKGzk+V7jatOq0YgmwFOFtlFAa2fb/dd6WjX67HN8X0MSUFs3jdU2rUI6bXKto2YyoWLqN7f6tEpijWbrej8rEOK0d7lmqhj7kJWsQPIQp5BwHbvOaKQKZTdiZp29Q5pFpeOmMkan/12j6lAIDMFIo8ouNyjP4wWxkgkdZJMpuO9MLXOFY1vjKV1DkaqwimlkewFgWr6XNfj+/XABLX3yQVL3WfkfU/Pr28tt3s4J/PT+9rImMMfJZmvQctxrnDJuWTNTcOsajIz7+tjwsZW6RhzjbmuOMe7rW8dHL2MbSRyLb4OHc9nnC+eyxDPoxXIRxLDgXNZOkIxl7bRwC2QvLhxUeaPOQVa2OHDQhfItaQ2+0LddazlUrG+KyqFVayPYQpHWRpCF7lxBkOAqW1QkQqpbVCSYQivWRjCFJPAuTxydz7sKcTT4CpwGWfTxtiORdhi72GkGF8YuNpp8ad9JwrG5dTznsuwk5b7vJGcslxeanH3biR93scjF0LJWed+JCGPZdk7OdtVktMBe8PH58+cqnh/+BtDvDGyUYzXIAAADQ3pUWHRTTUlMRVMgcmRraXQgMjAyMy4wOS42AAB4nHWUvY4kNwyEX8WAk1m4p8F/URpc4kku2nV+2MCBQ2ONw4X38C5qfBjagBfoQatLJD+Rpf3y+f1++fL5/WX/vN0vn95e7nx5ax/ruf98v19+/fpST5P+55V/xJ14/pXq9Zf3y5fX6/t/0n+6/3j96fvlGqcRyTj4HDPnOOgklRg3CEquEx8GD9fjdh2npEdtEZMpxxV7Q/x29XMQ71idU7aQzm6lRChZKZZuqCJiWt+VxmPn5FCBoOG6c1mK8nEFkPus+k7J83a1M2aVhyI25JBzKEJ3EfZpx1VOVhM9FBxOvMFUWI+rnuaWEzGTeUadjgaFbyUtGQA5JKXKjGSKUnCYYRUzJbNibKAhJcgcA2XcsfOGD5rEUmQ5aoucIZNwGkFd542mKCOIEXcBGrZK4uBQIo3mYTinBHqDrppNfmQLYSgxqKD59FB0sVqBvwFlyKzeoBcxPHcL0jUPP9G7IZuAsqjldLTriNMHWxb0MPoHwJIcIcakGxrnVq3hhE8AeCHKTkZkvscmzjyQjQkvO1uZohR006sODlUtwInlYQGGkeqcJl5jK2FuS1BG1FlGVdAZuW2YNPKovEx7LI4pj206mVGdjBkee2CeVkbBBGEYPRkZc5ssYK4KYSu3VekMu8F0SeIHHTeqn4KOmgFe3ITG9umoW8An1VjK8zTR4HKlpiIFfrfRTUnLPZqPEUlM2yYFeCQCZ5Dm7bG17ItZTYIXMU04fluhruCssaK7Vl5k2XdQynEwJxSGbaq88pRHHcxVtpJku2EWNHedCN4mSeU6Ci6W7VxmnMd2EWfu2+pFJnWxbE/V05G0Wqxzj4jEYrt3jsc/Bxhivhy/f/v487evH38tOuv19ePbH6fw4ueKljRJlraVLnuueHmTVjwXusZzYSufC1/zuYjFncIWNwzxxR0EmxsJQ+0oiG0wjAM1HJbFDYh1cUNiWtygVJc0KrUljWouaVDKSxqUypIGlUt6gxDaW4Q2N6axpCEJlg1JcmlDMl3akAwjakyMzZ1pLG1MCrU3Cmpv1FzaoISWNiqF2qiMlnUqXtaoOJb1TvmyThXf/waNKMlT1FbTdQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717e55430>"
      ]
     },
     "execution_count": 8,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "# If bond_idx given, will try to replace the legal substituent binding to bond_idx\n",
    "files[0][0].replace_substituent(\"[H]\", \"[O][H]\", bind_idx=39).rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "  0%|          | 0/2 [00:00<?, ?it/s]Failed to replace substituent from [H] to [C](C)(C)C in /home/tmj/proj/MolOP/tests/test_files/mix_format/dsgdb9nsd_131941-4+.log, dsgdb9nsd_131941-4+.log\n",
      "100%|██████████| 2/2 [00:00<00:00, 14.21it/s]\n",
      "1 files successfully replaced, 1 files failed to replace\n"
     ]
    }
   ],
   "source": [
    "new_blocks = files.replace_substituent(\"[H]\", \"[C](C)(C)C\", bind_idx=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.RWMol at 0x7f3717e0f950>"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files[0][-1].rdmol_no_conformer"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.RWMol at 0x7f3717e0f590>"
      ]
     },
     "execution_count": 11,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_blocks[0][0].rdmol_no_conformer"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Reset atom index in batches"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 12,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MolOP parsing with single thread: 100%|██████████| 4/4 [00:00<00:00, 12.99it/s]\n",
      "0 files failed to parse, 4 successfully parsed\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717e05f40>"
      ]
     },
     "execution_count": 12,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "files = AutoParser(\"../tests/test_files/test_reset_index/*\")\n",
    "files[0][-1].rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "100%|██████████| 4/4 [00:00<00:00, 322.09it/s]\n",
      "4 files successfully replaced, 0 files failed to reset_index\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717dfbf20>"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_files = files.reset_atom_index(\"[*^1,*^2]~[*+1^1,*+1^2]~[*+0^1,*+0^2].[C]#[C]\")\n",
    "\n",
    "new_files[0][0].rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>parser</th>\n",
       "      <th>file_path</th>\n",
       "      <th>file_name</th>\n",
       "      <th>file_format</th>\n",
       "      <th>frame_index</th>\n",
       "      <th>charge</th>\n",
       "      <th>multiplicity</th>\n",
       "      <th>SMILES</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>SDFFrameParser</td>\n",
       "      <td>/home/tmj/proj/MolOP/tests/test_files/test_res...</td>\n",
       "      <td>TS_4cGKps_ll_ad_4-18_6-13_optts_g16_reindex.sdf</td>\n",
       "      <td>.sdf</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>CNC(=O)C#[N+]C(C(C)=O)=C(C)[O-].COC(=O)C#CC(F)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>SDFFrameParser</td>\n",
       "      <td>/home/tmj/proj/MolOP/tests/test_files/test_res...</td>\n",
       "      <td>TS_4cGKps_ll_ad_4-18_6-13_sp_g16_reindex.sdf</td>\n",
       "      <td>.sdf</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>CNC(=O)C#[N+]C(C(C)=O)=C(C)[O-].COC(=O)C#CC(F)...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>SDFFrameParser</td>\n",
       "      <td>/home/tmj/proj/MolOP/tests/test_files/test_res...</td>\n",
       "      <td>TS_Zy0fwX_ll_ad_14-19_15-16_optts_g16_reindex.sdf</td>\n",
       "      <td>.sdf</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>C=[N+](C)[N-]C.COC(=O)[C@@]1(OC)C#CC(Br)(Br)CCCC1</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>SDFFrameParser</td>\n",
       "      <td>/home/tmj/proj/MolOP/tests/test_files/test_res...</td>\n",
       "      <td>TS_ts_guess_FaFxyx_template_4-18_6-13_optts_co...</td>\n",
       "      <td>.sdf</td>\n",
       "      <td>0</td>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>CNC(=O)C#[N+]C(C(C)=O)=C(C)[O-].COC(=O)C#CC(F)...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "           parser                                          file_path  \\\n",
       "0  SDFFrameParser  /home/tmj/proj/MolOP/tests/test_files/test_res...   \n",
       "1  SDFFrameParser  /home/tmj/proj/MolOP/tests/test_files/test_res...   \n",
       "2  SDFFrameParser  /home/tmj/proj/MolOP/tests/test_files/test_res...   \n",
       "3  SDFFrameParser  /home/tmj/proj/MolOP/tests/test_files/test_res...   \n",
       "\n",
       "                                           file_name file_format frame_index  \\\n",
       "0    TS_4cGKps_ll_ad_4-18_6-13_optts_g16_reindex.sdf        .sdf           0   \n",
       "1       TS_4cGKps_ll_ad_4-18_6-13_sp_g16_reindex.sdf        .sdf           0   \n",
       "2  TS_Zy0fwX_ll_ad_14-19_15-16_optts_g16_reindex.sdf        .sdf           0   \n",
       "3  TS_ts_guess_FaFxyx_template_4-18_6-13_optts_co...        .sdf           0   \n",
       "\n",
       "  charge multiplicity                                             SMILES  \n",
       "0      0            1  CNC(=O)C#[N+]C(C(C)=O)=C(C)[O-].COC(=O)C#CC(F)...  \n",
       "1      0            1  CNC(=O)C#[N+]C(C(C)=O)=C(C)[O-].COC(=O)C#CC(F)...  \n",
       "2      0            1  C=[N+](C)[N-]C.COC(=O)[C@@]1(OC)C#CC(Br)(Br)CCCC1  \n",
       "3      0            1  CNC(=O)C#[N+]C(C(C)=O)=C(C)[O-].COC(=O)C#CC(F)...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "new_files.to_summary_df()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Single file process"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### XYZ file TS with Metal and Radical"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MolOP parsing with single thread: 100%|██████████| 1/1 [00:00<00:00, 1212.23it/s]\n",
      "0 files failed to parse, 1 successfully parsed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frame num: 1; atom num: 64\n",
      "SMILES: CC(C)(C1=NCCO1)C1=NCCO1.C[C](C)N(C)C.Cl[Cu]c1ccc2ccccc2c1\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717ae50b0>"
      ]
     },
     "execution_count": 15,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "from molop import AutoParser\n",
    "\n",
    "test_xyz_file = AutoParser(\"../tests/test_files/xyz/test.xyz\", charge=0, multiplicity=3)\n",
    "print(f\"frame num: {len(test_xyz_file)}; atom num: {len(test_xyz_file[0][0])}\")\n",
    "print(f\"SMILES: {test_xyz_file[0][0].to_standard_SMILES()}\")\n",
    "test_xyz_file[0][0].rdmol"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### G16 LOG with Single Point"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 16,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MolOP parsing with single thread: 100%|██████████| 1/1 [00:00<00:00, 276.45it/s]\n",
      "0 files failed to parse, 1 successfully parsed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frame num: 1; atom num: 33\n",
      "SMILES: CCC[C@H]1CO[C@H]2C[C@@](C)(O)C[C@@H]12\n",
      "parameter comment: \n",
      " %nprocshared=32  Will use up to   32 processors via shared memory.  %mem=100GB \n",
      "\n",
      " # def2tzvp m06l\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717a86130>"
      ]
     },
     "execution_count": 16,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sp_file = AutoParser(\"../tests/test_files/g16log/3_Sp.log\")\n",
    "print(f\"frame num: {len(test_sp_file[0])}; atom num: {len(test_sp_file[0][0])}\")\n",
    "print(f\"SMILES: {test_sp_file[0][0].to_standard_SMILES()}\")\n",
    "print(f\"parameter comment: \\n{test_sp_file[0][0].keywords}\")\n",
    "test_sp_file[0][0].rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 17,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Energies(electronic_energy=None, scf_energy=<Quantity(-581.780923, 'hartree / particle')>, mp2_energy=None, mp3_energy=None, mp4_energy=None, ccsd_energy=None, total_energy=<Quantity(-581.780923, 'hartree / particle')>)"
      ]
     },
     "execution_count": 17,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sp_file[0][0].energies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 18,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ThermalEnergies(ZPVE=None, U_0=None, TCE=None, TCH=None, TCG=None, U_T=None, H_T=None, G_T=None, S=None, C_V=None)"
      ]
     },
     "execution_count": 18,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sp_file[0][0].thermal_energies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 19,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "partial charges num: 33\n",
      "first 5: [0.139353, -0.485914, 0.185647, 0.20812, 0.028079]\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    f\"partial charges num: {len(test_sp_file[0][0].charge_spin_populations.mulliken_charges)}\"\n",
    ")\n",
    "print(f\"first 5: {test_sp_file[0][0].charge_spin_populations.mulliken_charges[:5]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 20,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No freq No forces: [] hartree / bohr\n"
     ]
    }
   ],
   "source": [
    "print(f\"No freq No forces: {test_sp_file[0][0].forces}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 21,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "No freq parameter No freq: frequencies=<Quantity([], 'reciprocal_centimeter')> reduced_masses=<Quantity([], 'unified_atomic_mass_unit')> force_constants=<Quantity([], 'millidyne / angstrom')> IR_intensities=<Quantity([], 'kilomole / mole')> vibration_modes=[]\n"
     ]
    }
   ],
   "source": [
    "print(f\"No freq parameter No freq: {test_sp_file[0][0].vibrations}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MoleculeOrbital(alpha_energy=<Quantity(-18.96318, 'hartree / particle')>, beta_energy=<Quantity(-18.96318, 'hartree / particle')>, alpha_occupancy=True, beta_occupancy=True)"
      ]
     },
     "execution_count": 22,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_sp_file[0][0].molecular_orbitals[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### G16 LOG with Opt"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MolOP parsing with single thread: 100%|██████████| 1/1 [00:00<00:00, 26.15it/s]\n",
      "0 files failed to parse, 1 successfully parsed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frame num: 13; atom num: 31\n",
      "SMILES: C=C[C@H]1[C@@H]2[C@H](C[C@@]1(C)O)OC[C@@H]2C\n",
      "parameter comment: \n",
      " %nprocshared=32  Will use up to   32 processors via shared memory.  %mem=100GB \n",
      "\n",
      " # opt=maxcycle=150 freq def2svp m06l\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717a170e0>"
      ]
     },
     "execution_count": 23,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_opt_file = AutoParser(\"../tests/test_files/g16log/11_Opt.log\")\n",
    "print(f\"frame num: {len(test_opt_file[0])}; atom num: {len(test_opt_file[0][-1])}\")\n",
    "print(f\"SMILES: {test_opt_file[0][-1].to_standard_SMILES()}\")\n",
    "print(f\"parameter comment: \\n{test_opt_file[-1].keywords}\")\n",
    "test_opt_file[0][-1].rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 24,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Energies(electronic_energy=None, scf_energy=<Quantity(-579.925317, 'hartree / particle')>, mp2_energy=None, mp3_energy=None, mp4_energy=None, ccsd_energy=None, total_energy=<Quantity(-579.925317, 'hartree / particle')>)"
      ]
     },
     "execution_count": 24,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_opt_file[0][-1].energies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 25,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ThermalEnergies(ZPVE=<Quantity(172.932198, 'kilocalorie / mole')>, U_0=<Quantity(-363735.698, 'kilocalorie / mole')>, TCE=<Quantity(180.66186, 'kilocalorie / mole')>, TCH=<Quantity(181.254229, 'kilocalorie / mole')>, TCG=<Quantity(149.602024, 'kilocalorie / mole')>, U_T=<Quantity(-363727.969, 'kilocalorie / mole')>, H_T=<Quantity(-363727.376, 'kilocalorie / mole')>, G_T=<Quantity(-363759.029, 'kilocalorie / mole')>, S=<Quantity(106.164, 'calorie / kelvin / mole')>, C_V=<Quantity(50.588, 'calorie / kelvin / mole')>)"
      ]
     },
     "execution_count": 25,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_opt_file[0][-1].thermal_energies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 26,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "partial charges num: 33\n",
      "first 5: [0.139353, -0.485914, 0.185647, 0.20812, 0.028079]\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    f\"partial charges num: {len(test_sp_file[0][0].charge_spin_populations.mulliken_charges)}\"\n",
    ")\n",
    "print(f\"first 5: {test_sp_file[0][0].charge_spin_populations.mulliken_charges[:5]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 27,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[-2.1129999367985874e-06 4.62300022263662e-06 -3.460000016275444e-06]<br> [-4.570999863062752e-06 6.813999789301306e-06 2.586999926279532e-06]<br> [5.39800021215342e-06 2.7940000109083485e-06 1.3330000001587905e-06]<br> [6.230000053619733e-07 2.240999947389355e-06 -1.9829999473586213e-06]<br> [-2.2429999262385536e-06 6.538999969052384e-06 1.908000058392645e-06]<br> [-3.344000106153544e-06 4.2520000533841085e-06 -1.6610000557193416e-06]<br> [3.6129999898548704e-06 1.1810000160039635e-06 1.9910000901290914e-06]<br> [-7.255000127770472e-06 8.869999987837218e-07 5.330000021785963e-06]<br> [4.4270000216783956e-06 -3.434000063862186e-06 -6.333999863272766e-06]<br> [-6.660000053670956e-07 -3.251999942222028e-06 1.2870000318798702e-06]<br> [4.2189999476249795e-06 5.030000238548382e-07 1.1670000503727351e-06]<br> [-1.1199999789823778e-06 1.4949999922464485e-06 -5.005999810236972e-06]<br> [-6.299999881775875e-07 3.4999999343199306e-08 -3.529999901275005e-07]<br> [1.1099999710495467e-06 -4.988000000594184e-06 4.475999958231114e-06]<br> [2.9210000320745166e-06 1.4200000464370532e-07 2.6449999950273195e-06]<br> [2.9410000479401788e-06 -1.343999997516221e-06 6.410999958461616e-06]<br> [5.417000011220807e-06 6.951000159460818e-06 1.518999965810508e-06]<br> [-7.570000093437557e-07 6.3460001911153086e-06 1.5929999790387228e-06]<br> [-2.508000079615158e-06 -7.39999990173601e-08 -2.1260000266920542e-06]<br> [-1.0163000297325198e-05 -2.2459998945123516e-06 -2.0299999903272692e-07]<br> [-3.4639999739738414e-06 -2.3919999421195826e-06 -4.345999968791148e-06]<br> [4.90000005015645e-08 -4.644999989977805e-06 -1.2210000477352878e-06]<br> [-1.9039999870074098e-06 -5.758000042987987e-06 -3.6660001114796614e-06]<br> [-4.286000148567837e-06 1.9899999870176543e-07 -3.2890000056795543e-06]<br> [-2.6479999633011175e-06 -4.334000095695956e-06 -5.881000106455758e-06]<br> [-4.9659997785056476e-06 -6.800000278417428e-07 -1.2609999657797744e-06]<br> [6.9389998316182755e-06 3.2299999475071672e-06 1.8529999579186551e-06]<br> [5.216999852564186e-06 -1.1189999895577785e-06 -5.780000265076524e-07]<br> [3.160999995088787e-06 -6.145000043034088e-06 2.7720000161934877e-06]<br> [3.6579999687091913e-06 -5.867999789188616e-06 5.56699978915276e-06]<br> [2.9469999844877748e-06 -1.954000026671565e-06 -1.0730000212788582e-06]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>hartree/bohr</td></tr></tbody></table>"
      ],
      "text/latex": [
       "$\\begin{pmatrix}-2.1129999367985874\\times 10^{-6} & 4.62300022263662\\times 10^{-6} & -3.460000016275444\\times 10^{-6}\\\\ \n",
       "-4.570999863062752\\times 10^{-6} & 6.813999789301306\\times 10^{-6} & 2.586999926279532\\times 10^{-6}\\\\ \n",
       "5.39800021215342\\times 10^{-6} & 2.7940000109083485\\times 10^{-6} & 1.3330000001587905\\times 10^{-6}\\\\ \n",
       "6.230000053619733\\times 10^{-7} & 2.240999947389355\\times 10^{-6} & -1.9829999473586213\\times 10^{-6}\\\\ \n",
       "-2.2429999262385536\\times 10^{-6} & 6.538999969052384\\times 10^{-6} & 1.908000058392645\\times 10^{-6}\\\\ \n",
       "-3.344000106153544\\times 10^{-6} & 4.2520000533841085\\times 10^{-6} & -1.6610000557193416\\times 10^{-6}\\\\ \n",
       "3.6129999898548704\\times 10^{-6} & 1.1810000160039635\\times 10^{-6} & 1.9910000901290914\\times 10^{-6}\\\\ \n",
       "-7.255000127770472\\times 10^{-6} & 8.869999987837218\\times 10^{-7} & 5.330000021785963\\times 10^{-6}\\\\ \n",
       "4.4270000216783956\\times 10^{-6} & -3.434000063862186\\times 10^{-6} & -6.333999863272766\\times 10^{-6}\\\\ \n",
       "-6.660000053670956\\times 10^{-7} & -3.251999942222028\\times 10^{-6} & 1.2870000318798702\\times 10^{-6}\\\\ \n",
       "4.2189999476249795\\times 10^{-6} & 5.030000238548382\\times 10^{-7} & 1.1670000503727351\\times 10^{-6}\\\\ \n",
       "-1.1199999789823778\\times 10^{-6} & 1.4949999922464485\\times 10^{-6} & -5.005999810236972\\times 10^{-6}\\\\ \n",
       "-6.299999881775875\\times 10^{-7} & 3.4999999343199306\\times 10^{-8} & -3.529999901275005\\times 10^{-7}\\\\ \n",
       "1.1099999710495467\\times 10^{-6} & -4.988000000594184\\times 10^{-6} & 4.475999958231114\\times 10^{-6}\\\\ \n",
       "2.9210000320745166\\times 10^{-6} & 1.4200000464370532\\times 10^{-7} & 2.6449999950273195\\times 10^{-6}\\\\ \n",
       "2.9410000479401788\\times 10^{-6} & -1.343999997516221\\times 10^{-6} & 6.410999958461616\\times 10^{-6}\\\\ \n",
       "5.417000011220807\\times 10^{-6} & 6.951000159460818\\times 10^{-6} & 1.518999965810508\\times 10^{-6}\\\\ \n",
       "-7.570000093437557\\times 10^{-7} & 6.3460001911153086\\times 10^{-6} & 1.5929999790387228\\times 10^{-6}\\\\ \n",
       "-2.508000079615158\\times 10^{-6} & -7.39999990173601\\times 10^{-8} & -2.1260000266920542\\times 10^{-6}\\\\ \n",
       "-1.0163000297325198\\times 10^{-5} & -2.2459998945123516\\times 10^{-6} & -2.0299999903272692\\times 10^{-7}\\\\ \n",
       "-3.4639999739738414\\times 10^{-6} & -2.3919999421195826\\times 10^{-6} & -4.345999968791148\\times 10^{-6}\\\\ \n",
       "4.90000005015645\\times 10^{-8} & -4.644999989977805\\times 10^{-6} & -1.2210000477352878\\times 10^{-6}\\\\ \n",
       "-1.9039999870074098\\times 10^{-6} & -5.758000042987987\\times 10^{-6} & -3.6660001114796614\\times 10^{-6}\\\\ \n",
       "-4.286000148567837\\times 10^{-6} & 1.9899999870176543\\times 10^{-7} & -3.2890000056795543\\times 10^{-6}\\\\ \n",
       "-2.6479999633011175\\times 10^{-6} & -4.334000095695956\\times 10^{-6} & -5.881000106455758\\times 10^{-6}\\\\ \n",
       "-4.9659997785056476\\times 10^{-6} & -6.800000278417428\\times 10^{-7} & -1.2609999657797744\\times 10^{-6}\\\\ \n",
       "6.9389998316182755\\times 10^{-6} & 3.2299999475071672\\times 10^{-6} & 1.8529999579186551\\times 10^{-6}\\\\ \n",
       "5.216999852564186\\times 10^{-6} & -1.1189999895577785\\times 10^{-6} & -5.780000265076524\\times 10^{-7}\\\\ \n",
       "3.160999995088787\\times 10^{-6} & -6.145000043034088\\times 10^{-6} & 2.7720000161934877\\times 10^{-6}\\\\ \n",
       "3.6579999687091913\\times 10^{-6} & -5.867999789188616\\times 10^{-6} & 5.56699978915276\\times 10^{-6}\\\\ \n",
       "2.9469999844877748\\times 10^{-6} & -1.954000026671565\\times 10^{-6} & -1.0730000212788582\\times 10^{-6}\\end{pmatrix}\\ \\frac{\\mathrm{hartree}}{\\mathrm{bohr}}$"
      ],
      "text/plain": [
       "array([[-2.1130e-06,  4.6230e-06, -3.4600e-06],\n",
       "       [-4.5710e-06,  6.8140e-06,  2.5870e-06],\n",
       "       [ 5.3980e-06,  2.7940e-06,  1.3330e-06],\n",
       "       [ 6.2300e-07,  2.2410e-06, -1.9830e-06],\n",
       "       [-2.2430e-06,  6.5390e-06,  1.9080e-06],\n",
       "       [-3.3440e-06,  4.2520e-06, -1.6610e-06],\n",
       "       [ 3.6130e-06,  1.1810e-06,  1.9910e-06],\n",
       "       [-7.2550e-06,  8.8700e-07,  5.3300e-06],\n",
       "       [ 4.4270e-06, -3.4340e-06, -6.3340e-06],\n",
       "       [-6.6600e-07, -3.2520e-06,  1.2870e-06],\n",
       "       [ 4.2190e-06,  5.0300e-07,  1.1670e-06],\n",
       "       [-1.1200e-06,  1.4950e-06, -5.0060e-06],\n",
       "       [-6.3000e-07,  3.5000e-08, -3.5300e-07],\n",
       "       [ 1.1100e-06, -4.9880e-06,  4.4760e-06],\n",
       "       [ 2.9210e-06,  1.4200e-07,  2.6450e-06],\n",
       "       [ 2.9410e-06, -1.3440e-06,  6.4110e-06],\n",
       "       [ 5.4170e-06,  6.9510e-06,  1.5190e-06],\n",
       "       [-7.5700e-07,  6.3460e-06,  1.5930e-06],\n",
       "       [-2.5080e-06, -7.4000e-08, -2.1260e-06],\n",
       "       [-1.0163e-05, -2.2460e-06, -2.0300e-07],\n",
       "       [-3.4640e-06, -2.3920e-06, -4.3460e-06],\n",
       "       [ 4.9000e-08, -4.6450e-06, -1.2210e-06],\n",
       "       [-1.9040e-06, -5.7580e-06, -3.6660e-06],\n",
       "       [-4.2860e-06,  1.9900e-07, -3.2890e-06],\n",
       "       [-2.6480e-06, -4.3340e-06, -5.8810e-06],\n",
       "       [-4.9660e-06, -6.8000e-07, -1.2610e-06],\n",
       "       [ 6.9390e-06,  3.2300e-06,  1.8530e-06],\n",
       "       [ 5.2170e-06, -1.1190e-06, -5.7800e-07],\n",
       "       [ 3.1610e-06, -6.1450e-06,  2.7720e-06],\n",
       "       [ 3.6580e-06, -5.8680e-06,  5.5670e-06],\n",
       "       [ 2.9470e-06, -1.9540e-06, -1.0730e-06]], dtype=float32) <Unit('hartree / bohr')>"
      ]
     },
     "execution_count": 27,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_opt_file[0][-1].forces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 28,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "first freq: frequency=<Quantity(76.85, 'reciprocal_centimeter')> reduced_mass=<Quantity(3.0435, 'unified_atomic_mass_unit')> force_constant=<Quantity(0.0106, 'millidyne / angstrom')> IR_intensity=<Quantity(0.26, 'kilomole / mole')> vibration_mode=<Quantity([[-0.01  0.01 -0.01]\n",
      " [ 0.02  0.04 -0.04]\n",
      " [-0.03  0.07 -0.06]\n",
      " [-0.09  0.02  0.01]\n",
      " [ 0.01  0.08 -0.09]\n",
      " [-0.08  0.1  -0.1 ]\n",
      " [-0.15  0.07  0.03]\n",
      " [-0.06 -0.01 -0.  ]\n",
      " [-0.05 -0.05  0.02]\n",
      " [-0.05 -0.08  0.03]\n",
      " [ 0.   -0.05  0.03]\n",
      " [ 0.01 -0.03  0.02]\n",
      " [ 0.01  0.    0.01]\n",
      " [-0.03 -0.02 -0.01]\n",
      " [-0.23 -0.14  0.02]\n",
      " [-0.09 -0.05  0.05]\n",
      " [-0.1  -0.08  0.08]\n",
      " [-0.1  -0.09  0.01]\n",
      " [-0.03  0.02 -0.02]\n",
      " [ 0.02 -0.09  0.05]\n",
      " [ 0.06 -0.08  0.07]\n",
      " [ 0.   -0.1   0.04]\n",
      " [ 0.02 -0.13  0.06]\n",
      " [ 0.02 -0.02  0.02]\n",
      " [ 0.01 -0.05  0.04]\n",
      " [ 0.06 -0.01  0.03]\n",
      " [-0.1  -0.04  0.1 ]\n",
      " [ 0.28  0.19 -0.09]\n",
      " [ 0.51  0.32 -0.12]\n",
      " [ 0.32  0.23 -0.12]\n",
      " [-0.08 -0.    0.  ]], 'angstrom')> is_imaginary=False\n"
     ]
    }
   ],
   "source": [
    "print(f\"first freq: {test_opt_file[0][-1].vibrations[0]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MoleculeOrbital(alpha_energy=<Quantity(-18.98325, 'hartree / particle')>, beta_energy=<Quantity(-18.98325, 'hartree / particle')>, alpha_occupancy=True, beta_occupancy=True)"
      ]
     },
     "execution_count": 29,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_opt_file[0][-1].molecular_orbitals[0]"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "#### G16 LOG with TS"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stderr",
     "output_type": "stream",
     "text": [
      "MolOP parsing with single thread: 100%|██████████| 1/1 [00:00<00:00, 16.90it/s]\n",
      "0 files failed to parse, 1 successfully parsed\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "frame num: 13; atom num: 47\n",
      "SMILES: Br[Ni](Br)(SCc1ccccc1)c1ccccc1.c1c[nH]cn1.c1c[nH]cn1\n",
      "parameter comment: \n",
      " %nprocshared=32  Will use up to   32 processors via shared memory.  %mem=100GB \n",
      "\n",
      " # opt=(calcfc,ts,maxcycle=150,noeigen) freq ub3lyp/genecp empiricaldispersion=gd3bj\n",
      "\n"
     ]
    },
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<rdkit.Chem.rdchem.Mol at 0x7f3717af17b0>"
      ]
     },
     "execution_count": 30,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ts_file = AutoParser(\"../tests/test_files/g16log/S_Ph_Ni_TS.log\")\n",
    "print(f\"frame num: {len(test_ts_file[0])}; atom num: {len(test_ts_file[0][-1])}\")\n",
    "print(f\"SMILES: {test_ts_file[0][-1].to_standard_SMILES()}\")\n",
    "print(f\"parameter comment: \\n{test_ts_file[0][-1].keywords}\")\n",
    "test_ts_file[0][-1].rdmol"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 31,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Energies(electronic_energy=None, scf_energy=<Quantity(-1549.05355, 'hartree / particle')>, mp2_energy=None, mp3_energy=None, mp4_energy=None, ccsd_energy=None, total_energy=<Quantity(-1549.05355, 'hartree / particle')>)"
      ]
     },
     "execution_count": 31,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ts_file[0][-1].energies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 32,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "ThermalEnergies(ZPVE=<Quantity(226.882953, 'kilocalorie / mole')>, U_0=<Quantity(-971818.896, 'kilocalorie / mole')>, TCE=<Quantity(243.900382, 'kilocalorie / mole')>, TCH=<Quantity(244.492751, 'kilocalorie / mole')>, TCG=<Quantity(188.957535, 'kilocalorie / mole')>, U_T=<Quantity(-971801.878, 'kilocalorie / mole')>, H_T=<Quantity(-971801.286, 'kilocalorie / mole')>, G_T=<Quantity(-971856.821, 'kilocalorie / mole')>, S=<Quantity(186.267, 'calorie / kelvin / mole')>, C_V=<Quantity(99.359, 'calorie / kelvin / mole')>)"
      ]
     },
     "execution_count": 32,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ts_file[0][-1].thermal_energies"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "partial charges num: 33\n",
      "first 5: [0.139353, -0.485914, 0.185647, 0.20812, 0.028079]\n"
     ]
    }
   ],
   "source": [
    "print(\n",
    "    f\"partial charges num: {len(test_sp_file[0][0].charge_spin_populations.mulliken_charges)}\"\n",
    ")\n",
    "print(f\"first 5: {test_sp_file[0][0].charge_spin_populations.mulliken_charges[:5]}\")"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 34,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<table><tbody><tr><th>Magnitude</th><td style='text-align:left;'><pre>[[-2.529999960643181e-07 -3.12499992105586e-06 -6.649000170000363e-06]<br> [5.859999987478659e-07 -1.0710000424296595e-06 -5.850000093232666e-07]<br> [-3.92000004012516e-07 -6.930000040483719e-07 -7.130000199140341e-07]<br> [-4.48199989477871e-06 -3.940000112834241e-07 2.0330001007096143e-06]<br> [1.1880000556629966e-06 -5.769999802396342e-07 -6.980000080147875e-07]<br> [3.0860001061228104e-06 -6.999999868639861e-08 -1.8409999711366254e-06]<br> [-7.03000011981203e-07 -3.179999907843012e-07 -3.460000073118863e-07]<br> [1.3589999525720486e-06 -8.500000348021786e-08 -1.1070000027757487e-06]<br> [2.5099998879341e-07 -5.590000000665896e-07 -4.119999914564687e-07]<br> [5.790000159322517e-07 -3.000000106112566e-07 -7.300000106624793e-07]<br> [8.439999987785995e-07 -2.3799999837592622e-07 -8.430000093540002e-07]<br> [1.8980000504598138e-06 2.401000074314652e-06 1.0170000450671068e-06]<br> [-1.2330000345173175e-06 -2.781999910439481e-06 -2.4000000848900527e-06]<br> [-1.8000000068241206e-07 8.199999967928306e-08 -7.759999789413996e-07]<br> [5.559999749493727e-07 7.159999881878321e-07 -9.120000186157995e-07]<br> [4.909999802293896e-07 -2.090000066345965e-07 4.5600000930789975e-07]<br> [7.329999789362773e-07 1.1299999869152089e-07 -2.350000016804188e-07]<br> [1.3800000431274384e-07 -3.9799999740353087e-07 5.100000066704524e-08]<br> [6.08999982887326e-07 6.619999908252794e-07 3.119999973932863e-07]<br> [-1.1539999604792683e-06 -1.349999934063817e-07 -7.000000135093387e-09]<br> [1.053000005413196e-06 -1.6200000629851274e-07 -8.229999934883381e-07]<br> [-6.48000025194051e-07 4.075000106240623e-06 -7.140000093386334e-07]<br> [9.95000050352246e-07 -1.978999989660224e-06 1.2409999499141122e-06]<br> [3.6000000136482413e-07 2.2300000068753434e-07 3.4799998616108496e-07]<br> [-5.059999921286362e-07 -8.640000146442617e-07 4.2400000666020787e-07]<br> [8.580000212532468e-07 2.10899997910019e-06 2.333000111320871e-06]<br> [8.779999802754901e-07 9.960000397768454e-07 1.6550000054849079e-06]<br> [4.199999921183917e-07 -1.9899999870176543e-07 1.120000021614942e-07]<br> [7.819999723324145e-07 1.4879999525874155e-06 1.468000050408591e-06]<br> [-5.809999947814504e-07 3.789999993841775e-07 3.8600001062150113e-07]<br> [-1.8199999374246545e-07 2.529999960643181e-07 6.399999961104186e-07]<br> [4.800000041882413e-08 3.250000020216248e-07 1.6200000629851274e-07]<br> [6.729999881827098e-07 7.84000008025032e-07 7.740000000922009e-07]<br> [-7.000000135093387e-09 7.689999961257854e-07 8.380000053875847e-07]<br> [1.5300000200113573e-07 4.89000001380191e-07 2.419999987068877e-07]<br> [4.2600001393111597e-07 7.439999762937077e-07 6.559999974342645e-07]<br> [-3.107000111413072e-06 6.412999937310815e-06 4.468000042834319e-06]<br> [2.2149999949760968e-06 -3.384999899935792e-06 -1.2330000345173175e-06]<br> [-2.6780001007864485e-06 -2.8720000955217984e-06 2.0850000055361306e-06]<br> [-1.0060000477096764e-06 4.139999987273768e-07 -4.1900000269379234e-07]<br> [-5.350000265025301e-07 -5.549999855247734e-07 -5.300000225361146e-07]<br> [-5.940000278314983e-07 1.1400000232697494e-07 -8.699999654027124e-08]<br> [3.92000004012516e-07 -8.850000199345232e-07 -3.330000026835478e-07]<br> [-1.4129999499346013e-06 -4.030000013699464e-07 2.639999934217485e-07]<br> [-7.670000172765867e-07 -8.480000133204157e-07 -1.6699999605407356e-07]<br> [-3.9099998616620724e-07 -1.610000026630587e-07 3.0199998946045525e-07]<br> [-7.610000238855719e-07 -2.810000125919032e-07 2.9299999937393295e-07]]</pre></td></tr><tr><th>Units</th><td style='text-align:left;'>hartree/bohr</td></tr></tbody></table>"
      ],
      "text/latex": [
       "$\\begin{pmatrix}-2.529999960643181\\times 10^{-7} & -3.12499992105586\\times 10^{-6} & -6.649000170000363\\times 10^{-6}\\\\ \n",
       "5.859999987478659\\times 10^{-7} & -1.0710000424296595\\times 10^{-6} & -5.850000093232666\\times 10^{-7}\\\\ \n",
       "-3.92000004012516\\times 10^{-7} & -6.930000040483719\\times 10^{-7} & -7.130000199140341\\times 10^{-7}\\\\ \n",
       "-4.48199989477871\\times 10^{-6} & -3.940000112834241\\times 10^{-7} & 2.0330001007096143\\times 10^{-6}\\\\ \n",
       "1.1880000556629966\\times 10^{-6} & -5.769999802396342\\times 10^{-7} & -6.980000080147875\\times 10^{-7}\\\\ \n",
       "3.0860001061228104\\times 10^{-6} & -6.999999868639861\\times 10^{-8} & -1.8409999711366254\\times 10^{-6}\\\\ \n",
       "-7.03000011981203\\times 10^{-7} & -3.179999907843012\\times 10^{-7} & -3.460000073118863\\times 10^{-7}\\\\ \n",
       "1.3589999525720486\\times 10^{-6} & -8.500000348021786\\times 10^{-8} & -1.1070000027757487\\times 10^{-6}\\\\ \n",
       "2.5099998879341\\times 10^{-7} & -5.590000000665896\\times 10^{-7} & -4.119999914564687\\times 10^{-7}\\\\ \n",
       "5.790000159322517\\times 10^{-7} & -3.000000106112566\\times 10^{-7} & -7.300000106624793\\times 10^{-7}\\\\ \n",
       "8.439999987785995\\times 10^{-7} & -2.3799999837592622\\times 10^{-7} & -8.430000093540002\\times 10^{-7}\\\\ \n",
       "1.8980000504598138\\times 10^{-6} & 2.401000074314652\\times 10^{-6} & 1.0170000450671068\\times 10^{-6}\\\\ \n",
       "-1.2330000345173175\\times 10^{-6} & -2.781999910439481\\times 10^{-6} & -2.4000000848900527\\times 10^{-6}\\\\ \n",
       "-1.8000000068241206\\times 10^{-7} & 8.199999967928306\\times 10^{-8} & -7.759999789413996\\times 10^{-7}\\\\ \n",
       "5.559999749493727\\times 10^{-7} & 7.159999881878321\\times 10^{-7} & -9.120000186157995\\times 10^{-7}\\\\ \n",
       "4.909999802293896\\times 10^{-7} & -2.090000066345965\\times 10^{-7} & 4.5600000930789975\\times 10^{-7}\\\\ \n",
       "7.329999789362773\\times 10^{-7} & 1.1299999869152089\\times 10^{-7} & -2.350000016804188\\times 10^{-7}\\\\ \n",
       "1.3800000431274384\\times 10^{-7} & -3.9799999740353087\\times 10^{-7} & 5.100000066704524\\times 10^{-8}\\\\ \n",
       "6.08999982887326\\times 10^{-7} & 6.619999908252794\\times 10^{-7} & 3.119999973932863\\times 10^{-7}\\\\ \n",
       "-1.1539999604792683\\times 10^{-6} & -1.349999934063817\\times 10^{-7} & -7.000000135093387\\times 10^{-9}\\\\ \n",
       "1.053000005413196\\times 10^{-6} & -1.6200000629851274\\times 10^{-7} & -8.229999934883381\\times 10^{-7}\\\\ \n",
       "-6.48000025194051\\times 10^{-7} & 4.075000106240623\\times 10^{-6} & -7.140000093386334\\times 10^{-7}\\\\ \n",
       "9.95000050352246\\times 10^{-7} & -1.978999989660224\\times 10^{-6} & 1.2409999499141122\\times 10^{-6}\\\\ \n",
       "3.6000000136482413\\times 10^{-7} & 2.2300000068753434\\times 10^{-7} & 3.4799998616108496\\times 10^{-7}\\\\ \n",
       "-5.059999921286362\\times 10^{-7} & -8.640000146442617\\times 10^{-7} & 4.2400000666020787\\times 10^{-7}\\\\ \n",
       "8.580000212532468\\times 10^{-7} & 2.10899997910019\\times 10^{-6} & 2.333000111320871\\times 10^{-6}\\\\ \n",
       "8.779999802754901\\times 10^{-7} & 9.960000397768454\\times 10^{-7} & 1.6550000054849079\\times 10^{-6}\\\\ \n",
       "4.199999921183917\\times 10^{-7} & -1.9899999870176543\\times 10^{-7} & 1.120000021614942\\times 10^{-7}\\\\ \n",
       "7.819999723324145\\times 10^{-7} & 1.4879999525874155\\times 10^{-6} & 1.468000050408591\\times 10^{-6}\\\\ \n",
       "-5.809999947814504\\times 10^{-7} & 3.789999993841775\\times 10^{-7} & 3.8600001062150113\\times 10^{-7}\\\\ \n",
       "-1.8199999374246545\\times 10^{-7} & 2.529999960643181\\times 10^{-7} & 6.399999961104186\\times 10^{-7}\\\\ \n",
       "4.800000041882413\\times 10^{-8} & 3.250000020216248\\times 10^{-7} & 1.6200000629851274\\times 10^{-7}\\\\ \n",
       "6.729999881827098\\times 10^{-7} & 7.84000008025032\\times 10^{-7} & 7.740000000922009\\times 10^{-7}\\\\ \n",
       "-7.000000135093387\\times 10^{-9} & 7.689999961257854\\times 10^{-7} & 8.380000053875847\\times 10^{-7}\\\\ \n",
       "1.5300000200113573\\times 10^{-7} & 4.89000001380191\\times 10^{-7} & 2.419999987068877\\times 10^{-7}\\\\ \n",
       "4.2600001393111597\\times 10^{-7} & 7.439999762937077\\times 10^{-7} & 6.559999974342645\\times 10^{-7}\\\\ \n",
       "-3.107000111413072\\times 10^{-6} & 6.412999937310815\\times 10^{-6} & 4.468000042834319\\times 10^{-6}\\\\ \n",
       "2.2149999949760968\\times 10^{-6} & -3.384999899935792\\times 10^{-6} & -1.2330000345173175\\times 10^{-6}\\\\ \n",
       "-2.6780001007864485\\times 10^{-6} & -2.8720000955217984\\times 10^{-6} & 2.0850000055361306\\times 10^{-6}\\\\ \n",
       "-1.0060000477096764\\times 10^{-6} & 4.139999987273768\\times 10^{-7} & -4.1900000269379234\\times 10^{-7}\\\\ \n",
       "-5.350000265025301\\times 10^{-7} & -5.549999855247734\\times 10^{-7} & -5.300000225361146\\times 10^{-7}\\\\ \n",
       "-5.940000278314983\\times 10^{-7} & 1.1400000232697494\\times 10^{-7} & -8.699999654027124\\times 10^{-8}\\\\ \n",
       "3.92000004012516\\times 10^{-7} & -8.850000199345232\\times 10^{-7} & -3.330000026835478\\times 10^{-7}\\\\ \n",
       "-1.4129999499346013\\times 10^{-6} & -4.030000013699464\\times 10^{-7} & 2.639999934217485\\times 10^{-7}\\\\ \n",
       "-7.670000172765867\\times 10^{-7} & -8.480000133204157\\times 10^{-7} & -1.6699999605407356\\times 10^{-7}\\\\ \n",
       "-3.9099998616620724\\times 10^{-7} & -1.610000026630587\\times 10^{-7} & 3.0199998946045525\\times 10^{-7}\\\\ \n",
       "-7.610000238855719\\times 10^{-7} & -2.810000125919032\\times 10^{-7} & 2.9299999937393295\\times 10^{-7}\\end{pmatrix}\\ \\frac{\\mathrm{hartree}}{\\mathrm{bohr}}$"
      ],
      "text/plain": [
       "array([[-2.530e-07, -3.125e-06, -6.649e-06],\n",
       "       [ 5.860e-07, -1.071e-06, -5.850e-07],\n",
       "       [-3.920e-07, -6.930e-07, -7.130e-07],\n",
       "       [-4.482e-06, -3.940e-07,  2.033e-06],\n",
       "       [ 1.188e-06, -5.770e-07, -6.980e-07],\n",
       "       [ 3.086e-06, -7.000e-08, -1.841e-06],\n",
       "       [-7.030e-07, -3.180e-07, -3.460e-07],\n",
       "       [ 1.359e-06, -8.500e-08, -1.107e-06],\n",
       "       [ 2.510e-07, -5.590e-07, -4.120e-07],\n",
       "       [ 5.790e-07, -3.000e-07, -7.300e-07],\n",
       "       [ 8.440e-07, -2.380e-07, -8.430e-07],\n",
       "       [ 1.898e-06,  2.401e-06,  1.017e-06],\n",
       "       [-1.233e-06, -2.782e-06, -2.400e-06],\n",
       "       [-1.800e-07,  8.200e-08, -7.760e-07],\n",
       "       [ 5.560e-07,  7.160e-07, -9.120e-07],\n",
       "       [ 4.910e-07, -2.090e-07,  4.560e-07],\n",
       "       [ 7.330e-07,  1.130e-07, -2.350e-07],\n",
       "       [ 1.380e-07, -3.980e-07,  5.100e-08],\n",
       "       [ 6.090e-07,  6.620e-07,  3.120e-07],\n",
       "       [-1.154e-06, -1.350e-07, -7.000e-09],\n",
       "       [ 1.053e-06, -1.620e-07, -8.230e-07],\n",
       "       [-6.480e-07,  4.075e-06, -7.140e-07],\n",
       "       [ 9.950e-07, -1.979e-06,  1.241e-06],\n",
       "       [ 3.600e-07,  2.230e-07,  3.480e-07],\n",
       "       [-5.060e-07, -8.640e-07,  4.240e-07],\n",
       "       [ 8.580e-07,  2.109e-06,  2.333e-06],\n",
       "       [ 8.780e-07,  9.960e-07,  1.655e-06],\n",
       "       [ 4.200e-07, -1.990e-07,  1.120e-07],\n",
       "       [ 7.820e-07,  1.488e-06,  1.468e-06],\n",
       "       [-5.810e-07,  3.790e-07,  3.860e-07],\n",
       "       [-1.820e-07,  2.530e-07,  6.400e-07],\n",
       "       [ 4.800e-08,  3.250e-07,  1.620e-07],\n",
       "       [ 6.730e-07,  7.840e-07,  7.740e-07],\n",
       "       [-7.000e-09,  7.690e-07,  8.380e-07],\n",
       "       [ 1.530e-07,  4.890e-07,  2.420e-07],\n",
       "       [ 4.260e-07,  7.440e-07,  6.560e-07],\n",
       "       [-3.107e-06,  6.413e-06,  4.468e-06],\n",
       "       [ 2.215e-06, -3.385e-06, -1.233e-06],\n",
       "       [-2.678e-06, -2.872e-06,  2.085e-06],\n",
       "       [-1.006e-06,  4.140e-07, -4.190e-07],\n",
       "       [-5.350e-07, -5.550e-07, -5.300e-07],\n",
       "       [-5.940e-07,  1.140e-07, -8.700e-08],\n",
       "       [ 3.920e-07, -8.850e-07, -3.330e-07],\n",
       "       [-1.413e-06, -4.030e-07,  2.640e-07],\n",
       "       [-7.670e-07, -8.480e-07, -1.670e-07],\n",
       "       [-3.910e-07, -1.610e-07,  3.020e-07],\n",
       "       [-7.610e-07, -2.810e-07,  2.930e-07]], dtype=float32) <Unit('hartree / bohr')>"
      ]
     },
     "execution_count": 34,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ts_file[0][-1].forces"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 35,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "imaginary frequencies:\n"
     ]
    },
    {
     "data": {
      "text/plain": [
       "Vibrations(frequencies=<Quantity([-185.8656], 'reciprocal_centimeter')>, reduced_masses=<Quantity([8.7628], 'unified_atomic_mass_unit')>, force_constants=<Quantity([0.1784], 'millidyne / angstrom')>, IR_intensities=<Quantity([37.9609], 'kilomole / mole')>, vibration_modes=[<Quantity([[ 0.03  0.07 -0.07]\n",
       " [ 0.01 -0.01 -0.01]\n",
       " [-0.    0.01 -0.  ]\n",
       " [-0.05  0.07 -0.01]\n",
       " [-0.02  0.06  0.  ]\n",
       " [-0.03  0.06 -0.  ]\n",
       " [-0.01  0.07  0.01]\n",
       " [-0.    0.07  0.01]\n",
       " [-0.04  0.06 -0.  ]\n",
       " [ 0.03  0.07  0.02]\n",
       " [ 0.01  0.07  0.02]\n",
       " [ 0.02  0.01 -0.02]\n",
       " [ 0.02  0.01 -0.03]\n",
       " [-0.   -0.02  0.01]\n",
       " [ 0.04  0.04 -0.05]\n",
       " [-0.   -0.03  0.01]\n",
       " [-0.   -0.03  0.02]\n",
       " [ 0.01 -0.   -0.02]\n",
       " [-0.02 -0.05  0.02]\n",
       " [ 0.01 -0.01 -0.01]\n",
       " [ 0.    0.07  0.01]\n",
       " [ 0.11 -0.24 -0.11]\n",
       " [-0.03 -0.04  0.05]\n",
       " [-0.02  0.13  0.06]\n",
       " [-0.14 -0.1   0.17]\n",
       " [ 0.01 -0.01  0.  ]\n",
       " [ 0.   -0.    0.01]\n",
       " [ 0.02 -0.   -0.  ]\n",
       " [ 0.01  0.    0.  ]\n",
       " [-0.01 -0.01  0.01]\n",
       " [ 0.02  0.   -0.  ]\n",
       " [ 0.01 -0.    0.01]\n",
       " [ 0.02  0.    0.  ]\n",
       " [ 0.    0.    0.01]\n",
       " [ 0.03  0.01 -0.  ]\n",
       " [ 0.01  0.01  0.01]\n",
       " [-0.22 -0.08  0.41]\n",
       " [-0.14 -0.03  0.25]\n",
       " [-0.11 -0.04  0.18]\n",
       " [-0.02  0.05 -0.  ]\n",
       " [-0.2  -0.05  0.36]\n",
       " [ 0.    0.03 -0.05]\n",
       " [-0.13 -0.06  0.21]\n",
       " [ 0.03  0.07 -0.11]\n",
       " [ 0.02  0.09 -0.09]\n",
       " [ 0.07  0.06 -0.19]\n",
       " [ 0.1   0.11 -0.25]], 'angstrom')>])"
      ]
     },
     "execution_count": 35,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "print(f\"imaginary frequencies:\")\n",
    "test_ts_file[0][-1].vibrations.imaginary_vibrations"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "MoleculeOrbital(alpha_energy=<Quantity(-88.85698, 'hartree / particle')>, beta_energy=<Quantity(-88.85698, 'hartree / particle')>, alpha_occupancy=True, beta_occupancy=True)"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "test_ts_file[0][-1].molecular_orbitals[0]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "molop",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.8.19"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}