{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "# The fullt POSYDON Processing Pipeline experince"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "From A to Z: in this tutorial you learn to run all steps of the POSYDON post processing pipeline. This includes:\n",
    "- step 1: create the h5 file of each MESA grid, this include the base grid and any expantion or rerun\n",
    "- step 2: stack the grids togeather by concatenating them in the corret order\n",
    "- step 2 plot: plot 2D grid splices to visaulize termination flags, final values and other properties\n",
    "- step 2 check failure rate: check the failure rate of the grid\n",
    "- step 3: compute post processing values on the ORIGINAL grid (these values are stored as additional final values columns)\n",
    "- step 4: train the initial final interpolators and classifiers\n",
    "- step F: export the entire POSYDON dataset in the working directory \n",
    "\n",
    "All these steps are linked togeather and, when possible, they will be executed in parrallel, else sequencially.\n",
    "\n",
    "We support two types of compression LITE and ORIGINAL, the former resamples the stellar histories, the binary history and the fial stellar profile. Plase refer to the POSYDON v1.0.0 paper for more details.\n",
    "\n",
    "We illustrate this example using the 100 HMS-MHS MESA models which we refer to as the `test_grid` and the opacity_max rerun layer, `rerun_opacity_max_text_grid`, we generated by rerunning failed models in the `test_grid` with a lower hier opacity max limit as illustrative `fix`."
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Preparing the Pipeline initialization file"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "The following cell export the entire `pipeline.ini`, the purpuse of this tutorial is to get you acquinted with the pipeline and not to teach you how to export the entire POSYDON v2.0.0 dataset. \n",
    "\n",
    "EXTRA: If you are a POSYDON developer or just a curius person, you can find the full POSYDON v2.0.0 `pipeline.ini` file in `$PATH_TO_POSYDON/grid_params/pipeline_quest.ini` and `$PATH_TO_POSYDON/grid_params/pipeline_yggdrasil.ini`. At the time of writing this tutorial we support 5 layers of reruns and store the raw MESA data of v2.0.0 across two HPC facility. Exporting the entire v2.0.0 dataset from start to finish might require more than 24 hours computing time. !!! WARNING !!! before exportig the entire POSYDON v2.0.0 dataset, make sure you know what you are doing! \n",
    "\n",
    "Now sit back relax and enjoy the POSYDON experince!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Overwriting pipeline.ini\n"
     ]
    }
   ],
   "source": [
    "%%writefile pipeline.ini\n",
    "[account]\n",
    "    ACCOUNT = 'meynet'\n",
    "    PARTITION = 'public-cpu'\n",
    "    WALLTIME = '06:00:00'\n",
    "    MAILTYPE = 'ALL'\n",
    "    EMAIL = 'simone.bavera@unige.ch'\n",
    "\n",
    "[pipeline setup]\n",
    "    PATH_TO_GRIDS = '/srv/beegfs/scratch/shares/astro/posydon/POSYDON_GRIDS_v2/POSYDON_data/230914/POSYDON_data/tutorials/processing-pipeline/'\n",
    "    VERSION = '' # to have a verion below the grid type level\n",
    "    PATH = '.' # working dir\n",
    "    VERBOSE = True\n",
    "    \n",
    "    # steps\n",
    "    CREATE_GRID_SLICES = True\n",
    "    COMBINE_GRID_SLICES = True\n",
    "    CALCULATE_EXTRA_VALUES = True\n",
    "    TRAIN_INTERPOLATORS = True\n",
    "    EXPORT_DATASET = True\n",
    "    # rerun step\n",
    "    RERUN = False\n",
    "\n",
    "#CREATE_GRID_SLICES\n",
    "[step_1]\n",
    "    # e.g. ['CO-HMS_RLO','CO-HeMS','HMS-HMS']\n",
    "    GRID_TYPES = ['HMS-HMS']\n",
    "    # e.g. ['2e+00_Zsun', '1e+00_Zsun', '4.5e-01_Zsun', '2e-01_Zsun', '1e-01_Zsun', '1e-02_Zsun', '1e-03_Zsun', '1e-04_Zsun']\n",
    "    METALLICITIES = [\n",
    "                     # HMS-HMS\n",
    "                     ['1e-01_Zsun']\n",
    "                    ]\n",
    "    GRID_SLICES = [\n",
    "                   # HMS-HMS\n",
    "                   ['test_grid', 'rerun_opacity_max_test_grid']\n",
    "                  ]\n",
    "    COMPRESSIONS = [\n",
    "                    # HMS-HMS\n",
    "                    ['LITE', 'ORIGINAL']\n",
    "                   ]\n",
    "    DROP_MISSING_FILES = True\n",
    "    # EXTRA PARAMETERS\n",
    "    # only applied to HMS grids\n",
    "    STOP_BEFORE_CARBON_DEPLETION = 1\n",
    "    # supported plots: e.g. 'combined_TF12', 'termination_flag_1', 'termination_flag_2', 'termination_flag_3', 'termination_flag_4', and any quantity valid for a Z-plotting\n",
    "    CREATE_PLOTS = []\n",
    "    # supported checks: e.g. 'failure_rate'\n",
    "    DO_CHECKS = []\n",
    "\n",
    "#COMBINE_GRID_SLICES\n",
    "[step_2]\n",
    "    GRID_TYPES = ['HMS-HMS']\n",
    "    METALLICITIES = [# HMS-HMS\n",
    "                     ['1e-01_Zsun']\n",
    "                    ]\n",
    "    GRID_SLICES = [\n",
    "                   # HMS-HMS\n",
    "                   [['test_grid', 'rerun_opacity_max_test_grid']]\n",
    "                  ]\n",
    "    GRIDS_COMBINED = [\n",
    "                      # HMS-HMS\n",
    "                      ['grid_test_combined']\n",
    "                     ]\n",
    "    COMPRESSIONS = [\n",
    "                    # HMS-HMS\n",
    "                    ['LITE', 'ORIGINAL']\n",
    "                   ]\n",
    "    DROP_MISSING_FILES = True\n",
    "    # supported plots: e.g. 'combined_TF12', 'termination_flag_1', 'termination_flag_2', 'termination_flag_3', 'termination_flag_4', and any quantity valid for a Z-plotting\n",
    "    CREATE_PLOTS = ['PLOT_AFTER_COMBINE']\n",
    "    # supported checks: e.g. 'failure_rate'\n",
    "    DO_CHECKS = ['CHECK_AFTER_COMBINE']\n",
    "\n",
    "#CALCULATE_EXTRA_VALUES\n",
    "[step_3]\n",
    "    GRID_TYPES = ['HMS-HMS']\n",
    "    METALLICITIES = [# HMS-HMS\n",
    "                     ['1e-01_Zsun']\n",
    "                    ]\n",
    "    GRID_SLICES = [# HMS-HMS\n",
    "                   ['grid_test_combined']\n",
    "                  ]\n",
    "    COMPRESSIONS = [\n",
    "                    # HMS-HMS\n",
    "                    ['LITE']\n",
    "                   ]\n",
    "    DROP_MISSING_FILES = True\n",
    "    # supported plots: e.g. 'combined_TF12', 'termination_flag_1', 'termination_flag_2', 'termination_flag_3', 'termination_flag_4', and any quantity valid for a Z-plotting\n",
    "    CREATE_PLOTS = ['PLOT_AFTER_EXTRA']\n",
    "    # supported checks: e.g. 'failure_rate', 'CO_TYPE', 'SN_TYPE'\n",
    "    DO_CHECKS = ['CHECK_AFTER_EXTRA']\n",
    "\n",
    "#TRAIN_INTERPOLATORS\n",
    "[step_4]\n",
    "    GRID_TYPES = ['HMS-HMS']\n",
    "    METALLICITIES = [# HMS-HMS\n",
    "                     ['1e-01_Zsun']\n",
    "                    ]\n",
    "    GRID_SLICES = [# HMS-HMS\n",
    "                   ['grid_test_combined_processed']\n",
    "                  ]\n",
    "    INTERPOLATION_METHODS = [\"linear\",\"1NN\"]\n",
    "    COMPRESSIONS = [\n",
    "                    # HMS-HMS\n",
    "                    ['LITE']\n",
    "                   ]\n",
    "    CONTROL_GRIDS = [\n",
    "                     # HMS-HMS\n",
    "                     ['grid_test_combined'] # if available this should be a randomly sampled grid\n",
    "                    ]\n",
    "    DROP_MISSING_FILES = True\n",
    "    # supported plots: e.g. 'combined_TF12', 'termination_flag_1', 'termination_flag_2', 'termination_flag_3', 'termination_flag_4', and any quantity valid for a Z-plotting\n",
    "    CREATE_PLOTS = ['PLOT_AFTER_TRAINING']\n",
    "    # supported checks: e.g. 'failure_rate'\n",
    "    DO_CHECKS = ['CHECK_AFTER_TRAINING']\n",
    "\n",
    "#EXPORT_DATASET\n",
    "[step_F]\n",
    "    GRID_TYPES = ['HMS-HMS']\n",
    "    METALLICITIES = [# HMS-HMS\n",
    "                     ['1e-01_Zsun']\n",
    "                    ]\n",
    "    GRID_SLICES = [\n",
    "                   # HMS-HMS\n",
    "                   ['grid_test_combined_processed']\n",
    "                  ]\n",
    "    COMPRESSIONS = [\n",
    "                    # HMS-HMS\n",
    "                    ['LITE']\n",
    "                   ]\n",
    "    DROP_MISSING_FILES = True\n",
    "\n",
    "#EXPORT_RERUNS\n",
    "[rerun]\n",
    "    GRID_TYPES = ['HMS-HMS']\n",
    "    METALLICITIES = [# HMS-HMS\n",
    "                     [ '1e-01_Zsun']\n",
    "                    ]\n",
    "    GRID_SLICES = [\n",
    "                   # HMS-HMS\n",
    "                   ['grid_test_combined'],\n",
    "                  ]\n",
    "    COMPRESSIONS = [\n",
    "                    # HMS-HMS\n",
    "                    ['LITE']\n",
    "                   ]\n",
    "    DROP_MISSING_FILES = True\n",
    "    # example reruns are 'PISN', 'reverse_MT', 'opacity_max', 'TPAGBwind'\n",
    "    RERUN_TYPE = None\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## Setting-up and Running the Post Processing Pipeline"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "We are all set, let's setup the pipeline and run it!"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "/home/bavera/.conda/envs/posydon_env/bin/posydon-setup-pipeline:4: DeprecationWarning: pkg_resources is deprecated as an API. See https://setuptools.pypa.io/en/latest/pkg_resources.html\n",
      "  __import__('pkg_resources').require('posydon==1.0.0+194.g3953a14')\n",
      "\n",
      "+++++++++++++++++++ACCOUNT+++++++++++++++++++ \n",
      "{ 'ACCOUNT': 'meynet',\n",
      "  'EMAIL': 'simone.bavera@unige.ch',\n",
      "  'MAILTYPE': 'ALL',\n",
      "  'PARTITION': 'public-cpu',\n",
      "  'WALLTIME': '06:00:00'}\n",
      "\n",
      "++++++++++++++++++++SETUP++++++++++++++++++++\n",
      "{ 'CALCULATE_EXTRA_VALUES': True,\n",
      "  'COMBINE_GRID_SLICES': True,\n",
      "  'CREATE_GRID_SLICES': True,\n",
      "  'EXPORT_DATASET': True,\n",
      "  'PATH': '.',\n",
      "  'PATH_TO_GRIDS': '/srv/beegfs/scratch/shares/astro/posydon/POSYDON_GRIDS_v2/POSYDON_data/230914/POSYDON_data/tutorials/processing-pipeline/',\n",
      "  'RERUN': False,\n",
      "  'TRAIN_INTERPOLATORS': True,\n",
      "  'VERBOSE': True,\n",
      "  'VERSION': ''}\n",
      "\n",
      "\n",
      "-------------CREATE_GRID_SLICES--------------  step_1 : True \n",
      "{ 'COMPRESSIONS': [['LITE', 'ORIGINAL']],\n",
      "  'CREATE_PLOTS': [],\n",
      "  'DO_CHECKS': [],\n",
      "  'DROP_MISSING_FILES': True,\n",
      "  'GRID_SLICES': [['test_grid', 'rerun_opacity_max_test_grid']],\n",
      "  'GRID_TYPES': ['HMS-HMS'],\n",
      "  'METALLICITIES': [['1e-01_Zsun']],\n",
      "  'STOP_BEFORE_CARBON_DEPLETION': 1}\n",
      "\n",
      "\n",
      "-------------COMBINE_GRID_SLICES-------------  step_2 : True \n",
      "{ 'COMPRESSIONS': [['LITE', 'ORIGINAL']],\n",
      "  'CREATE_PLOTS': [ 'combined_TF12',\n",
      "                    'termination_flag_1',\n",
      "                    'termination_flag_2',\n",
      "                    'termination_flag_3',\n",
      "                    'termination_flag_4',\n",
      "                    'rl_relative_overflow_1',\n",
      "                    'rl_relative_overflow_2',\n",
      "                    'lg_mtransfer_rate'],\n",
      "  'DO_CHECKS': ['failure_rate'],\n",
      "  'DROP_MISSING_FILES': True,\n",
      "  'GRIDS_COMBINED': [['grid_test_combined']],\n",
      "  'GRID_SLICES': [[['test_grid', 'rerun_opacity_max_test_grid']]],\n",
      "  'GRID_TYPES': ['HMS-HMS'],\n",
      "  'METALLICITIES': [['1e-01_Zsun']]}\n",
      "\n",
      "\n",
      "-----------CALCULATE_EXTRA_VALUES------------  step_3 : True \n",
      "{ 'COMPRESSIONS': [['LITE']],\n",
      "  'CREATE_PLOTS': [ 'S1_MODEL01_CO_type',\n",
      "                    'S1_MODEL01_SN_type',\n",
      "                    'S1_MODEL01_mass',\n",
      "                    'S1_MODEL01_spin',\n",
      "                    'S1_MODEL01_m_disk_radiated',\n",
      "                    'S1_MODEL02_CO_type',\n",
      "                    'S1_MODEL02_SN_type',\n",
      "                    'S1_MODEL02_mass',\n",
      "                    'S1_MODEL02_spin',\n",
      "                    'S1_MODEL02_m_disk_radiated',\n",
      "                    'S1_MODEL03_CO_type',\n",
      "                    'S1_MODEL03_SN_type',\n",
      "                    'S1_MODEL03_mass',\n",
      "                    'S1_MODEL03_spin',\n",
      "                    'S1_MODEL03_m_disk_radiated',\n",
      "                    'S1_MODEL04_CO_type',\n",
      "                    'S1_MODEL04_SN_type',\n",
      "                    'S1_MODEL04_mass',\n",
      "                    'S1_MODEL04_spin',\n",
      "                    'S1_MODEL04_m_disk_radiated',\n",
      "                    'S1_MODEL05_CO_type',\n",
      "                    'S1_MODEL05_SN_type',\n",
      "                    'S1_MODEL05_mass',\n",
      "                    'S1_MODEL05_spin',\n",
      "                    'S1_MODEL05_m_disk_radiated',\n",
      "                    'S1_MODEL06_CO_type',\n",
      "                    'S1_MODEL06_SN_type',\n",
      "                    'S1_MODEL06_mass',\n",
      "                    'S1_MODEL06_spin',\n",
      "                    'S1_MODEL06_m_disk_radiated',\n",
      "                    'S1_MODEL07_CO_type',\n",
      "                    'S1_MODEL07_SN_type',\n",
      "                    'S1_MODEL07_mass',\n",
      "                    'S1_MODEL07_spin',\n",
      "                    'S1_MODEL07_m_disk_radiated',\n",
      "                    'S1_MODEL08_CO_type',\n",
      "                    'S1_MODEL08_SN_type',\n",
      "                    'S1_MODEL08_mass',\n",
      "                    'S1_MODEL08_spin',\n",
      "                    'S1_MODEL08_m_disk_radiated',\n",
      "                    'S1_MODEL09_CO_type',\n",
      "                    'S1_MODEL09_SN_type',\n",
      "                    'S1_MODEL09_mass',\n",
      "                    'S1_MODEL09_spin',\n",
      "                    'S1_MODEL09_m_disk_radiated',\n",
      "                    'S1_MODEL10_CO_type',\n",
      "                    'S1_MODEL10_SN_type',\n",
      "                    'S1_MODEL10_mass',\n",
      "                    'S1_MODEL10_spin',\n",
      "                    'S1_MODEL10_m_disk_radiated'],\n",
      "  'DO_CHECKS': ['CO_type', 'SN_type'],\n",
      "  'DROP_MISSING_FILES': True,\n",
      "  'GRID_SLICES': [['grid_test_combined']],\n",
      "  'GRID_TYPES': ['HMS-HMS'],\n",
      "  'METALLICITIES': [['1e-01_Zsun']]}\n",
      "\n",
      "\n",
      "-------------TRAIN_INTERPOLATORS-------------  step_4 : True \n",
      "{ 'COMPRESSIONS': [['LITE']],\n",
      "  'CONTROL_GRIDS': [['grid_test_combined']],\n",
      "  'CREATE_PLOTS': [ 'INTERP_ERROR_age',\n",
      "                    'INTERP_ERROR_star_1_mass',\n",
      "                    'INTERP_ERROR_star_2_mass',\n",
      "                    'INTERP_ERROR_period_days',\n",
      "                    'INTERP_ERROR_S1_co_core_mass',\n",
      "                    'INTERP_ERROR_S1_co_core_radius',\n",
      "                    'INTERP_ERROR_S1_he_core_mass',\n",
      "                    'INTERP_ERROR_S1_he_core_radius',\n",
      "                    'INTERP_ERROR_S1_center_h1',\n",
      "                    'INTERP_ERROR_S1_center_he4',\n",
      "                    'INTERP_ERROR_S1_surface_h1',\n",
      "                    'INTERP_ERROR_S1_surface_he4',\n",
      "                    'INTERP_ERROR_S1_surf_avg_omega_div_omega_crit',\n",
      "                    'INTERP_ERROR_S1_log_Teff',\n",
      "                    'INTERP_ERROR_S1_log_L',\n",
      "                    'INTERP_ERROR_S1_log_R',\n",
      "                    'INTERP_ERROR_S1_spin_parameter',\n",
      "                    'INTERP_ERROR_S1_lambda_CE_10cent',\n",
      "                    'INTERP_ERROR_S2_co_core_mass',\n",
      "                    'INTERP_ERROR_S2_co_core_radius',\n",
      "                    'INTERP_ERROR_S2_he_core_mass',\n",
      "                    'INTERP_ERROR_S2_he_core_radius',\n",
      "                    'INTERP_ERROR_S2_center_h1',\n",
      "                    'INTERP_ERROR_S2_center_he4',\n",
      "                    'INTERP_ERROR_S2_surface_h1',\n",
      "                    'INTERP_ERROR_S2_surface_he4',\n",
      "                    'INTERP_ERROR_S2_surf_avg_omega_div_omega_crit',\n",
      "                    'INTERP_ERROR_S2_log_Teff',\n",
      "                    'INTERP_ERROR_S2_log_L',\n",
      "                    'INTERP_ERROR_S2_log_R',\n",
      "                    'INTERP_ERROR_S2_spin_parameter',\n",
      "                    'INTERP_ERROR_S2_lambda_CE_10cent',\n",
      "                    'INTERP_ERROR_S1_MODEL01_mass',\n",
      "                    'INTERP_ERROR_S1_MODEL01_spin',\n",
      "                    'INTERP_ERROR_S1_MODEL01_m_disk_radiated',\n",
      "                    'INTERP_ERROR_S1_MODEL05_mass',\n",
      "                    'INTERP_ERROR_S1_MODEL05_spin',\n",
      "                    'INTERP_ERROR_S1_MODEL05_m_disk_radiated',\n",
      "                    'INTERP_ERROR_S1_MODEL06_mass',\n",
      "                    'INTERP_ERROR_S1_MODEL06_spin',\n",
      "                    'INTERP_ERROR_S1_MODEL06_m_disk_radiated',\n",
      "                    'INTERP_ERROR_S1_MODEL10_mass',\n",
      "                    'INTERP_ERROR_S1_MODEL10_spin',\n",
      "                    'INTERP_ERROR_S1_MODEL10_m_disk_radiated'],\n",
      "  'DO_CHECKS': [],\n",
      "  'DROP_MISSING_FILES': True,\n",
      "  'GRID_SLICES': [['grid_test_combined_processed']],\n",
      "  'GRID_TYPES': ['HMS-HMS'],\n",
      "  'INTERPOLATION_METHODS': ['linear', '1NN'],\n",
      "  'METALLICITIES': [['1e-01_Zsun']]}\n",
      "\n",
      "\n",
      "---------------EXPORT_DATASET----------------  step_F : True \n",
      "{ 'COMPRESSIONS': [['LITE']],\n",
      "  'DROP_MISSING_FILES': True,\n",
      "  'GRID_SLICES': [['grid_test_combined_processed']],\n",
      "  'GRID_TYPES': ['HMS-HMS'],\n",
      "  'METALLICITIES': [['1e-01_Zsun']]}\n",
      "\n",
      "\n",
      "--------------------RERUN--------------------  rerun  :False \n"
     ]
    }
   ],
   "source": [
    "!posydon-setup-pipeline pipeline.ini"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 29,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "logs\t\t\t  step_2.csv\t       step_3.slurm\n",
      "pipeline.ini\t\t  step_2_plots.csv     step_4.csv\n",
      "POSYDON_data\t\t  step_2_plots.slurm   step_4_plots.csv\n",
      "run_full_piepeline.ipynb  step_2.slurm\t       step_4_plots.slurm\n",
      "run_pipeline.sh\t\t  step_3_checks.csv    step_4.slurm\n",
      "step_1.csv\t\t  step_3_checks.slurm  step_F.csv\n",
      "step_1.slurm\t\t  step_3.csv\t       step_F.slurm\n",
      "step_2_checks.csv\t  step_3_plots.csv\n",
      "step_2_checks.slurm\t  step_3_plots.slurm\n"
     ]
    }
   ],
   "source": [
    "!ls"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Data will be exported in the `POSYDON_data/` directory once the pipeline is done. You can keep track of the progress by checking the log files of each step in the `logs/` directory. Let's submit the entire pipeline with the shell script."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 30,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step_1.slurm submitted as 28474240\n",
      "step_2.slurm submitted as 28474241\n",
      "step_2_plots.slurm submitted as 28474242\n",
      "step_2_checks.slurm submitted as 28474243\n"
     ]
    },
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "step_3.slurm submitted as 28474244\n",
      "step_3_plots.slurm submitted as 28474245\n",
      "step_3_checks.slurm submitted as 28474246\n",
      "step_4.slurm submitted as 28474247\n",
      "step_4_plots.slurm submitted as 28474248\n",
      "step_F.slurm submitted as 28474249\n"
     ]
    }
   ],
   "source": [
    "!./run_pipeline.sh"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 33,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "             JOBID PARTITION     NAME     USER ST       TIME  NODES NODELIST(REASON)\n",
      "        28473967_1 private-a mesa_gri   bavera  R    5:13:52      1 cpu144\n",
      "        28473967_4 private-a mesa_gri   bavera  R    5:13:52      1 cpu144\n",
      "        28473967_5 private-a mesa_gri   bavera  R    5:13:52      1 cpu144\n",
      "        28473967_7 private-a mesa_gri   bavera  R    5:13:52      1 cpu144\n",
      "    28474249_[0-2] public-cp psygrid9   bavera PD       0:00      1 (Dependency)\n",
      "    28474248_[0-1] public-cp psygrid4   bavera PD       0:00      1 (Dependency)\n",
      "    28474247_[0-1] public-cp psygrid4   bavera PD       0:00      1 (Dependency)\n",
      "      28474246_[0] public-cp psygrid3   bavera PD       0:00      1 (Dependency)\n",
      "      28474245_[0] public-cp psygrid3   bavera PD       0:00      1 (Dependency)\n",
      "      28474244_[0] public-cp psygrid3   bavera PD       0:00      1 (Dependency)\n",
      "    28474243_[0-1] public-cp psygrid2   bavera PD       0:00      1 (Dependency)\n",
      "      28474242_[0] public-cp psygrid2   bavera PD       0:00      1 (Dependency)\n",
      "    28474241_[0-1] public-cp psygrid2   bavera PD       0:00      1 (Dependency)\n",
      "        28474240_0 public-cp psygrid1   bavera  R       0:04      1 cpu024\n",
      "        28474240_1 public-cp psygrid1   bavera  R       0:04      1 cpu024\n",
      "        28474240_2 public-cp psygrid1   bavera  R       0:04      1 cpu024\n",
      "        28474240_3 public-cp psygrid1   bavera  R       0:04      1 cpu024\n"
     ]
    }
   ],
   "source": [
    "!squeue -u bavera"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### Exploring the visualization outputs"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "While we wait for the entire pipeline to finish we can explore the plots which we find in `PATH_TO_GRIDS/HMS-HMS/1e-01_Zsun/plots/GRID_NAME`."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "CO_type  mass  m_disk_radiated\tSN_type  spin\n"
     ]
    }
   ],
   "source": [
    "!ls /srv/beegfs/scratch/shares/astro/posydon/POSYDON_GRIDS_v2/POSYDON_data/230914/POSYDON_data/tutorials/processing-pipeline/HMS-HMS/1e-01_Zsun/plots/grid_test_combined_processed/S1_MODEL01/"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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5bqlU2nW/w+4vm82O+qfpq1arI/2NjspFarVaN5fL9dfN5/Pdzc3N/u1ra2u7tnfSn8G/7Sg2Nze7a2tr/dp6jzGbzXZXV1d3PfeOsvcxHNarKY0Sp86k/19f6Ha73XFD47Pw9ttvR61Wi1qtFg8fPoyFhYVdt+dyuVhaWopMJtP/tydJktje3u7/u3fYfbfbjUwmEzdu3IhSqRSXLl06j4c0VRYXF/vfymxtbU3d5Og93/3ud+PTn/50//L9+/fj2WedCRkAADiead63+NGPfhT//t//+13X/czP/Ew89tjET7sDwAlM+v/1qX33uHTpUqytrcXa2lrcvXs3Go1GtFqt/lwwvUmx9wbBg/Zm2b35V8rlcly9evXsigcAAAAAmICpDXwHXb16tR/Qvv3229FqteL111+PTqeza76V7e3t/kTfmUwmstlsZLPZuHLlSuTz+bkcyQsAAAAAzI+ZCHwHXbp0Kb7whS/EF77whUmXAgAAAAAwVS5MugAAAAAAAE6HwBcAAAAAICVmbkoHZtef/dmfxQ9+8INjrfPGG2+cUTUAAAAAkD4CX87Nb/7mb8av//qvT7oMAAAAAEgtUzoAAAAAAKSEwBcAAAAAICXmYkqHb33rW9FoNKLT6cT29nYkSRKdTicymUxERFy+fDkKhULk8/n4hV/4hYnWmmb/6B/9oygWi8da54033ojPf/7zZ1MQAAAAAKRMqgPfb33rW1Eul6PT6URERLfb3XX7zs5ORES0Wq1otVoREbG8vBy1Wi1+8Rd/8XyLnQMf/ehH46Mf/eikywAAAACA1Ept4Pvbv/3bUSqV+pez2Wxks9n+5UwmE0mSRETsGvX7xhtvRD6fj3q9Hr/yK79y3mUDAAAAAJxYKgPfhw8fRqlUitXV1ahWq/H000+PvG673Y5KpRKlUimuXr0an/jEJ86uUAAAAACAU5TKk7bVarUolUpx586dY4W9ERG5XC42NjbiH/yDfxDVavWMKgQAAAAAOH2pHOH7zW9+MzY3N8faxm//9m9HPp8/pYoAAAAAAM5eKkf4drvdeOKJJ8baxqVLl06pGgAAAACA85HKwPe09E7qBgAAAAAwC1IZ+Gaz2fj2t7891jbu3r1rlC8AAAAAMFNSGfiurq7G6upq/PEf//GJ1n/48GE8//zz8eUvf/mUK5tORjIDAAAAQDqk8qRtpVIpqtVqZLPZKBaLcfny5cjlcrG0tBSZTGbf8kmSRKfTiU6nExsbG9FqtSKbzcav/uqvnn/x52Qw5N3e3p5cIQAAAADAqUll4BsR0W6345d+6Zfizp070Wg0Rl6v2+1GNpuNe/funWF156vVakXEo5B3e3s7arXartvL5XKUy+XIZrP9QPzy5csHhuMAAAAAwPRKbeB76dKl2NzcjHq9HrVaLb7zne8cuU4ul4tyuRzXr18/hwrPT6FQ2HU5k8nsCnO3t7fj5s2bu0b9NhqNWF1dPacKAQAAAIDTkNrAt6dUKkWpVIqIiO985ztx7969XcFmJpOJbDYbV69enVCFZ6/b7U66BAAAAEiVSqUS6+vr+67PZDLx8OHDI4+aXVxcjCRJ9i3Xu25nZ+cUq4XpVywW+9Oubm9vx9LSUmxtbU26rJmU+sB30Gc+85n4zGc+M+kyAAAAgBlXrVbjxo0bsb29Hc1mMyqVSkQ8CmyvXr0am5ubQ9ff3NyMTqcTtVotms1mRETk8/moVCqRzWbPvH6YNtlstn+OrYiIpaWlCVc0uy5MugAAAACAWdQ7arg3JWIvqG232weO/h2UzWYjn89Ho9GIXC4XuVwuNjY2Ip/PC3yZS9Vq1RSjp0TgCwAAADCmTCYTGxsb/cuVSiXa7fZI6+bz+bh8+fJZlXagxcXF/khKmCZG9o5P4AsAAABwCrLZbFSr1f7lYrE4wWqGGzy/EUyTo+a/5mgC3yE+97nPTboEAAAAYIasra1FPp+PiIhOpxPlcnnCFe3XarUmXQJwhgS+Q/gPEAAAADiuRqPRH6VYr9enLl+o1WqTLgE4QwLfQ7z99tuTLgEAAACYQZlMJm7dutW/XCwWp2YKhVarFc1mc9JlAGdI4HuITqdjzhAAAAAY5oc/PN71c2R1dTVKpVJEPJovdxrm8202m1EoFCZdBlOs3W5P3Yh0ji+Vge9XvvKV+NznPjfWT2++HQAAAOAAb78d8Xf/bsRLL+2+/qWXHl3vyNmo1WqRzWYj4tHI2nq9PvY2W61WFIvFWF5ejoWFhVhcXIyVlZWoVCqHjiJutVqxsLCwL3TubWPw57RHIvfmMR68r+Xl5SgWiyMFiyd5vBGPptIoFAqxsrLSX7fT6UTEo1BzcJu9enq3D953r+bFxcX+z8LCwoHBeblc3rVsb9uH1dZbZnFxcWg/KpVK/7EsLi7u2malUonl5eX+Nob1pFKp9LexuLgYhUKhP9q7UqnE4uJiXL9+PYrF4tAvBo5b/17tdnvXc2J5eTkKhcKpvD74r7oplM/nuwsLC2P/LC0tTfqhzL379+93I6L/c//+/UmXBAAAzKBp3rd49913u3/4h3+46+fdd9+ddFnDJUm3+9nPdrsRj35efPHR9S+++MF1n/3so+XmwNbWVjeTyRx42+bm5q7n3tbW1r5l1tbWuqVSaeh97OzsdHO5XDciumtra93Nzc1d95HP57sR0a1Wq4euv7Oz063Vav1aNjY2+tf3fk7T2tpaNyK6mUymW6vVultbW92dnZ3u5uZmt1QqHVnvOI93Y2Oju7a21s1ms7t6v7a21s3lct2NjY3+so1Go7/M4P307mvw9sG+HVTz6urqvsc8uK1MJtOvu7eNra2t/nqrq6v7tlur1bqlUqm/bjab7e7s7HSz2Wy3Wq12t7a2+rUd9Dzq3W8mk+k2Go1+rb2/T6/HPb37OWw7x63/oP7k8/ldf4Otra1uqVTq5nK5/t82m80euq1pN+n/11MZ+O7s7HQXFxe7hUKhWy6Xj/1TLBa7y8vLAt8pMM0fygAAgNkxzfsWkw4Gju2v/mp32Nv7+djH9l/32c8+Wj7lhgW+3W63W61W+8+9g0KsowLf3vYPCiT3bueo0G0wvDwofD4tvdAul8sdGI4O9mSv03y8g4F7qVTq5vP5A5frBZG5XG7ofR3Vt979HRQcDwbGw2oYDF8H9cL6bDbbXV1d7YfdOzs7/W3v7cXOzk6/lwfd70FB7ebm5qnX3wuoDwulewafnwLfk0tl4NvtdruVSqX7P//P//OJ19/c3BT4ToFp/lAGAADMjmnet5h0MHAigyN5h/30Rv6m3FGBb7fb7Y9WPSgQOyrw7QVlh41mHdQL92q12oG3n0fgO0o4OtiPveHiaT7ewdGvmUzm0FHMwwLobnd3qDrsb3XY37JX51HBfu8+DqpzWBi6ubl5YA8GR1kfZGNjY6Tnw7j1974AOOp1MriswPfkUjmHb0REoVCIjY2NE6+/vLw8NWfQBAAAgKny1a9GvPji8GVefPHRckRERKPR6P++vr4+8nyn9Xq9P7fs6urqkcs///zzEfFoPtlJSJIk1tfXI+JRvb05jPe6ceNGZDKZWF1djVwu17/+tB/v0tJS//d8Ph+ZTObA5QavPygPymQy/ZPw1ev1QzOjer0elUpl13Xr6+v95Yf9XbLZbL9fd+7cOXS5g7aTy+X69Q3qPc8O+zsMXn/Yc3Lc+lutVn/bN27cOHT9nsP+RowutYFvNpuNe/funXj9S5cuRbfbPcWKAAAAIEW++tWIj33s4Ns+9jFh7x7ZbHZX6HvUCbZ6arXarm0cZfCEXr0Tcp2nwRNvDTvx1+rqauzs7OzqScTZPt4rV64cub1hBoPcg04wVq/X4/Lly/vqvn37dv/3wXD7IL3bt7a2hi6Xz+ePrPe0jFv/4N/0qPU5HakNfJ9++ulYXFwcaxujfJMEAAAAc+mllyL+9E8Pvu1P//TR7eyyurrazxqSJInr168fuU673T7WfQyOjnz99dePte5pGDzaepTAdq+zfLzjjhzNZrP9oPXmzZv7bq9Wq/tG90bsfkzLy8tDf9rtdmSz2XjyySdP5bFcvnw5IqI/anqvwesPC5HHrX/wPk7ynOD4Hpt0AWfpjTfeGGv9o4bPAwAAwFx66aWIr31t+DK924303eXWrVvRarUiSZJoNpsHjhSdZWkP96rVaqysrESSJFGv1/vTKDSbzchkMkeOvD1q5O6oBqeqGKZarcadO3ciSZJotVr76uuNvi2VSiP9vU6rfs5Wakf4AgAAAGfghz+M2HMYfkQcPL1Do/FoefoymcyuaQzK5fLQUa3HDU0Hp4kYnO5gFK1Wa+g0DKMYrPck50Y6z8d7Erlcrj8tQbVa7V9/8+bNQ+ennWTwnclk+nUVi8X+XLqdTieKxWI0m83I5/O7pl3Ya9z6x31OcHwCXwAAAGB0H/pQxO/+bsRnP/vBdS++GPEnf7L7RG6f/eyj5T70ofOvccrl8/lYW1vrXx52ArfB6SZHme5gcARm74RmozqNMG4wMD7JuZXO8/GeVC9A7XQ60Wq1ot1uR6fTOXRq0MHrRzlZX5Ikh07BcBK1Wi22trbixo0bUalUYnFxsf932tjY2DUNx0HGrf/atWv938c53xajE/gCAAAAx3Pp0geh74svfjBtw1e/+uhyL+y9dGmydZ6TJEmOHZZWq9WRTmB148aN/nytB80bu1dvesq1tbUD53kdvG5vqLi9vT32aM7B+x0cAXuYSqWya97b0368Z2F1dbXfp0qlMnR0b8SjPvRqGzaStqc38vY0tNvt/t91bW0tNjc3Y2dnJ7a2tqLRaIx08rdx619dXT1wVPRhTjPsnlczF/h+7nOfi4sXL8Y//af/dOxt/c7v/E68+OKL8du//dvxzjvvnEJ1AAAAMCcuXYr4d/9u/xy9X/3qo+vnJOyN+GDU4nGDqsZBU2Pskclk4u7duxHxaJ7YYaNei8ViJEkS+Xz+0GCtdxKviP0jaBuNRqysrIxS+lC9ejudTpTL5UOXa7VaUa/Xd4Wlp/14t7e3j13/KOv0Qup2ux2tVmvXiO2DDD6mYfM2r6+vR6fTOXJ7o8pkMpEkSZTL5bFGcI9bf6PRiEwmE51OJ9bX1w9dv1Kp9P/mJ/nb8chMBb7f/OY3Y2NjI7rd7liTRP/O7/xOPPnkk1EsFqNSqUS5XI6lpaX49re/fYrVAgAAQModNl3DHEzjkCRJtNvtWF9f74eahULhyJByUDabHWnEZC6Xi62trchms7GysrIrFOt0OtFsNmNlZSWazWaUSqWhh+hnMpl+ONrbTpIk/aCudxKycfTqzefzUa/XY3l5OZrNZn8kdLvdjnK5HOVyOe7evbtvZO5pPN7e/QyONG00Gv3Hu3e5wfC99zccFpCWSqV+3aP0bPAxlcvl/ijY3n305k++ffv2vsfTq/H27dv9627evBmdTufIEDebzUYul4t6vR6Li4uxsLDQ/1lcXIzFxcVYXl4+clTxOPX36tjc3IxcLtfP4ga/IGm321EoFPoBfu9xF4vFqNfrRv0eV3eGNJvNbrlc7rbb7RNvo9VqdRcWFroLCwvdxcXFbqFQ6C4vL3cXFha6Fy9e7D58+PD0CmZs9+/f70ZE/+f+/fuTLgkAAJhB07xv8e6773b/8A//cNfPu+++O+myOMLa2lr/+ZTJZPo/ves2NjZG3tbq6mq3Wq2OtGyj0eiurq7uuq9sNttdW1vrbm1tjXyfGxsb3Xw+3697dXW1u7OzM/L6x7mfvfXmcrkzf7yrq6v7/j6Dl3v2Xj94eXV1dWhttVqtm8lkjt23vY8pk8l0c7lct1arHbh8Nps9tMaI6G5ubg69v42NjV3LD/vJZrNHPo+OW/+w9Xs/+Xy+/5rp3ZbNZru5XG7XbbNi0v+vL3S73e6Zpcmn7OHDh/HlL385fvd3f/fE21haWookSWJlZSVarVZc+q+HmLRarfj7f//vx/PPPx//2//2v51WyYzpu9/9bnz605/uX75//348++yzE6wIAACYRdO8b/GjH/0o/v2///e7rvuZn/mZeOyxxyZUEZAWvZG4pVIpisXivjmaeydY29jY6E/VkMlkYmdnZxLlpsak/1+fqSkdnn766Xjrrbfij//4jyMi4vd///fjK1/5SvzMz/xMXLlyJb7yla/E7//+7x+6/je/+c1IkiQWFhbi1q1b/bA34tEZMu/cuTPS/DkAAAAAMM3K5XI0m82o1WpRq9Uin89HNpvd9ZPL5WJ1dTVqtVrs7OxENpuNJElO7aRxTMZMBb4REfV6PVZXV+PGjRuxsrLSn8ej3W5HvV6PlZWVeOmllw5ctzfXSTabjV/4hV/Yd/vq6mo8/fTT8fLLL5/lQwAAAACAM9UbsTvqvMyZTKZ/MrrXX3/9zOri7M1c4JvL5WJxcTHW19ej2+0e+LO2tnZg6Ntut2NhYSFyudyh2y+Xy/Fv/+2/PcuHAAAAAABnqjd9w6gnEYyI2NzcjIiI5eXlM6mJ8zFzge93vvOd/ty7a2tr0Wg0YnNzMzY3N2NjYyPW1tbiiSeeiLW1tfje9763a93t7e2IiH3zlQzK5/PO/AcAAADATKtWqxHxaB7fJEmOXL5er0e9Xo9sNjvyqGCm08wFvrVaLXK5XDx8+DC+/vWvxxe+8IX4zGc+E5/5zGfi6tWr8fWvfz0ePnwYTz/9dKyvrx+4jSeffPLQ7WezWYEvAAAAADNtdXW1P2J3cXExyuVytNvtXeFvp9OJZrMZKysrUS6XY3V1Nba2tiZUMadl5k75effu3Wg0GrtOuLZXJpOJ3/qt34qvfOUru67vnbAtk8kcuu6lS5dG+tYDAAAAAKZZLpeLra2taLfbUavV4vr165EkSXQ6nchkMrG0tBTZbDauXbsWd+/eHZqZMTtmLvDtdDoHnnBtr3GmZhgWJgMAAADALMnlclGr1SZdBudk5qZ0uHTpUrzzzjtHLvf222+fKLh9+PChiakBAAAAgJk0c4FvNpuNW7duHblcvV6PK1euHHv77XY7lpaWTlIaAAAAAMBEzVzg+/zzz8fa2lq8/PLLhy5z69at+Cf/5J9EsVjsX/f222/3fx82R2+9Xo9cLncqtQIAAAAAnKeZm8N3bW0tarValEqlWFtbi3w+3x+R2+l0otVqRcSjE7f96q/+an+93qjgbrcbt2/fjq997Wv7tv3w4cNotVrmNAEAAAAAZtLMBb4REY1GIy5fvhxJkkSz2dx1W7fbjYiIp59+Oq5duxaFQiE2Njai0WjEwsJCfP3rX4+bN2/Gyy+/HL/yK7/SX++dd96Jv//3/37kcrn4xCc+cZ4PBwAAAADgVMxk4JvL5eKNN96IQqEQDx8+3HVbNpuNjY2NePrpp+Ob3/xm3L59OzqdTpRKpSiXy/GZz3wm/vN//s9RKpViY2Mj8vl8bG1tRb1ejyRJYmNjY0KPCgAAgHm0sLCw77reYCYAZs/777+/77qD/q8/KzMZ+EY8Cna3trbiO9/5Tty7dy+SJIlcLhdXr17tL/OFL3whvvCFL+xbt1qtRqvVijt37kSj0YiIR2+mlUolfumXfuncHgMAAABcuLD/9Do//OEP4/HHH59ANQCM691339133UH/15+VmQ18ez7zmc/EZz7zmWOvt7m5Gevr63Hnzp1YWlqKcrl8YDgMAAAAZ2lhYSE+/OEPx1/+5V/2r3vnnXfix3/8xydYFQAn9c477+y6/OEPf9gI3/OytrYWa2trky4DAACAOfeRj3xkX+B76dKl+LEf+7EJVgXAcf3FX/zFvsD3iSeeONca5jrwBc7e23/xl/GDd/7L0GV+6omfiEs/9uFzqmi2vLP957H9H5Ohyyz9jUw8sfSR8yloxujfePTv5EbpXYT+HUb/xuO1Ox79Y1KeeOKJ+MEPftC//P7778ebb74ZTzzxRDzxxBPx+OOPn+vhwACM7v33349333033nnnnXjnnXf2zeH7kY+c7+eG1AS+77zzTrRareh0OhERkclkIp/Pxyc+8YnJFgZz6v964834F7/zrdj6/26PtPzyf7sU/9M/+KW48smnzriy2fD7374fv/FrL8cf/+F/GGn5v/V3fjp+7Td+NX7+7z17xpXNBv0bj/6d3HF7F6F/g/RvPF6749G/s/HgwYN47bXX4rnnnotnnnlm0uVMtQ996EPxkY98JP78z/+8f937778fSZJEkiSTKwyAsXzkIx+JD33oQ+d6nwvdGT/15/e+970ol8vRarUOvH15eTlqtVr84i/+4jlXxmn47ne/G5/+9Kf7l+/fvx/PPutD9bT7v954M37lXzVPtO7/5yurcx/6/v6378c/vvrrJ1r3xW/987nf8dS/8ejfyY3Tuwj907/xeO2OR//Oxje+8Y144YUX4r333ouLFy/GK6+8El/84hcnVs8s7Fu8//778Sd/8ifxX/7L8CPkAJgNP/ETPxF/82/+zXM/QmOmjwd58cUXY3l5OVqtVhyUW3e73XjjjTcin8/HL//yL0+gQlLlhz883vVz7F/8zrdOvu7//u1TrGQ2/cavvTyRddNC/8ajfyc37uPXP/0bh9fuePTv9H3jG9+IL33pS/Hee+9FRMR7770XX/rSl+Ib3/jGhCubbhcuXIi/+Tf/5rkf+gvA6fvIRz4ykbA3YoYD3xs3bkSlUolut9sPe3u/D17Xu77RaAh9Obm33474u3834qWXdl//0kuPrn/77cnUNYWS/+f/N/I0Dgd54z+9FW//xV8evWBKvfPWnx/rUOa9vvfdN+Od7T8/esGU0r/x6N/Jjdu7CP3Tv5Pz2h2P/p2+Xti7d/7C999/X+g7ggsXLsRP//RPx/LycvzUT/1UfPjDznUBMCs+/OEPx0c/+tFYXl6On/7pn57Y3OszOYfvN7/5zahWq5HJZKJUKsW1a9fiM5/5zL7l3n777bh3717cuXMnbt26FY1GI65cuRJf/epXJ1A1M+vttyM+97mI3/u9Rz8REV/96qOw92tfe3T5c5+L+N3fjbh0aXJ1Ton//Of/z9jb+ME7/2VuT+K2/Z+S8bfxH5O5PZGM/o1H/07uNHoXoX9jb0f/Tr6NOe1dhP6dtsPC3p5e6BsRE53eYRZ86EMfip/8yZ+Mn/zJn4xutxvvv//+gUe2AjB5CwsLceHChVhYWJh0KRExo4Hv9evXY2VlJVqtVlwaErBdunQprl69GlevXo1KpRKFQiH+xb/4F3H9+vV44oknzrFiZtYPf/hB2Nvzta9F/Mt/GfGnf/rBdb/3e4+W+3f/LuKcJ+IGAIBpcFTY2yP0Pb6FhYW4ePHipMsAYEbM3JQOt27dioiIu3fvDg1798pms7GxsdGf3gFG8qEPRRSL+68fDHt7ikVhLwAAc2nUsLfH9A4AcHZmLvBtNBqxvr5+ohG62Ww2rl+/Hnfu3DmDykitr3414sUXhy/z4ouPlgMAgDnz4MGDeOGFF0YOe3vef//9eOGFF+LBgwdnVBkAzKeZC3w3Nzfj+eefP/H6v/zLvxz37t07xYqYC1/9asTHPnbwbR/7mLAXAIC59dprr8V77713onXfe++9eO211065IgCYbzMX+EbEWPPvZrPZSJLk9IphPrz00sHTOEQ8uv6ll863HgAAmBLPPffcieeXvXjxYjz33HOnXBEAzLeZC3zHPSvp9vZ2ZDKZ0ymG+fDSS49O1DbM174m9AUAYC4988wz8corr8SFC8fbvbxw4UK88sor8cwzz5xRZQAwn2Yu8M1ms/Htb3/7xOu3Wq3IZrOnWBGp9sMfRhx0kr+DpndoNB4tDwAAc+aLX/xivPrqqyOHvhcuXIhXX301vvjFL55xZQAwf2Yu8L127Vp8/etfP/H61Wo18vn8KVZEqn3oQxG/+7sRn/3sB9e9+GLEn/zJ7hO5ffazj5b70IfOv0YAAJgCo4a+wl4AOFszF/iurq7GxsZGvHSCw+e//OUvx8OHD6NcLp9BZaTWpUsfhL4vvvjBCdq++tVHl3th76VLk61zSvzkR3587G381BM/cQqVzKalv54Zfxt/Y/xtzCr9G4/+ndxp9C5C/8bejv6dfBtz2rsI/TttR4W+wl4AOHszF/g+/fTT8Y//8T+OtbW1+OVf/uX43ve+d+Q63/rWt+LKlStx69atWF1djU984hNnXicpc+lSxL/7dx+EvT1f/eqj64W9fZkf/29i+b9dOvH6n/zrT8alH/vwKVY0W5548iPxt/7OT594/U88+1Q8sfSRU6xotujfePTv5MbtXYT+6d/Jee2OR/9O32Ghr7AXAM7HzAW+EY+mZfiFX/iFaDQasby8HE8++WR87nOfi2vXrsVXvvKV+MpXvhLXrl2Lz33uc/Hkk09GoVCIzc3NyGazcevWrUmXz6w6bLoG0zjs8z/9g1868br/9L//xVOsZDb92m/86onX/R//l185xUpmk/6NR/9ObpzeReif/o3Ha3c8+nf6eqHvxYsXIyLi4sWLwl4AOCcL3W63O+kiTuLtt9+OX/qlX4rvfOc7sbCwcOhyvYeXzWZjY2Mjnn766fMqkVPw3e9+Nz796U/3L9+/fz+effbZCVbEqF5/4834F//7t+ON//TWSMt/8q8/Gf/0v//FuPLJp864stnwf/8f343f+LWX43vffXOk5T/x7FPxP/4vvxI///e8PiL0b1z6d3LH7V2E/g3Sv/F47Y5H/87GgwcP4rXXXovnnnsunnnmmYnWYt8CgHkxs4Fvz/r6evyTf/JPhi6zuroat27diksOu585PpTNvrf/4i/jB+/8l6HL/NQTPzHX0zgM8872n8f2f0yGLrP0NzIOJT2E/o1H/05ulN5F6N9h9G88Xrvj0b/0sm8BwLyY+cA34tFo3zt37sTGxkZ0Op2IiFhaWopCoRCrq6tG9c4wH8oAAIDTYN8CgHnx2KQLOA2XLl2K69evx/Xr1yddCgAAAADAxMzkSdsAAAAAANhv7gLfhw8fxo0bNyZdBgAAAADAqZu7wLfT6cT6+vqkywAAAAAAOHVzGfgCAAAAAKTR1Jy07Xd+53fO/D62t7ejWq1GJpM58/sCAAAAADhvUxP4/uqv/mq8/fbbZ34/3W43FhcXz/x+AAAAAADO29QEvktLS5EkyaTLAAAAAACYWVMT+GYymVhYWIirV69GoVA4k2kXkiSJmzdvnvp2AQAAAACmwdQEvktLSxER8W//7b890/u5dOlSfOUrXznT+wAAAAAAmISpCXyz2Wzs7Oyc+f0sLy+f+X0AAAAAAEzC1AS+hULhXMLYbDYbX/jCF878fgAAAAAAztvUBL7nFcI+/fTTcefOnXO5LwAAAACA83Rh0gUAAAAAAHA6BL4AAAAAACkh8AUAAAAASAmBLwAAAABASgh8AQAAAABSQuALAAAAAJASAl8AAAAAgJQQ+AIAAAAApITAFwAAAAAgJQS+AAAAAAApIfAFAAAAAEgJgS8AAAAAQEoIfAEAAAAAUkLgCwAAAACQEgJfAAAAAICUEPgCAAAAAKSEwBcAAAAAICUEvgAAAAAAKSHwBQAAAABICYEvAAAAAEBKCHwBAAAAAFJC4AsAAAAAkBICXwAAAACAlBD4AgAAAACkhMAXAAAAACAlBL4AAAAAACkh8AUAAAAASAmBLwAAAABASgh8AQAAAABSQuALAAAAAJASAl8AAAAAgJQQ+AIAAAAApITAFwAAAAAgJQS+AAAAAAApIfAFAAAAAEgJgS8AAAAAQEoIfAEAAAAAUkLgCwAAAACQEgJfAAAAAICUEPgCAAAAAKSEwBcAAAAAICUEvgAAAAAAKSHwBQAAAABICYEvAAAAAEBKCHwBAAAAAFJC4AsAAAAAkBICXwAAAACAlBD4AgAAAACkhMAXAAAAACAlBL4AAAAAACkh8AUAAAAASAmBLwAAAABASjw26QIAAGDQO9t/Htv/MTlyuaW/kYknlj5y9gUBAMAMEfgCADAVfv/b9+M3fu3l+OM//A8jr/O3/s5Px6/9xq/Gz/+9Z8+wMgAAmB2mdIBjevDgQfzWb/1WPHjwYNKlzCT9G4/+jUf/xqN/49G/4X7/2/fjH1/99WOFvRERf/yH/yG+9kv/PP7v/+O7Z1MYAADMGIEvHMM3vvGN+Nmf/dn4yle+Ej/7sz8b3/jGNyZd0kzRv/Ho33j0bzz6Nx79O9pv/NrLE10fAADSQuALI/rGN74RX/rSl+K9996LiIj33nsvvvSlL9lpH5H+jUf/xqN/49G/8ejf0d5568+PPbJ3r+999814Z/vPT6kiAACYXQJfGEFvZ/3999/fdf37779vp30E+jce/RuP/o1H/8ajf6PZ/k/J6WxnhBO9AQBA2jlpGxzhsJ31nt5Oe0TEF7/4xfMsbSbo33j0bzz6Nx79G4/+MQ0ePHgQr7zySrz55pvx1FNPxQsvvBDPPPPMpMuaGfo3Hv0DgMkQ+M6per0etVotOp1O/7p8Ph/lcjny+fwEK5suR+2s99hpP5j+jUf/xqN/49G/8egf0+B//V//1/gf/of/IX70ox/1r/uX//Jfxssvvxz/8B/+wwlWNhv0bzz6BwCTY0qHOdNut2NxcTGq1WqUy+XY2dmJnZ2d2NzcjKWlpSgUClEsFiNJkkmXOnGj7qz3ODx3N/0bj/6NR//Go3/j0T+mwYMHD/aFbRER7777bvzKr/xK/NEf/dGEKpsN+jce/QOAyRL4zpFWqxUrKyuxtLQUm5ubUSqV+rdls9mo1WpRq9Wi2WzGysrKXIe+Dx48iBdeeGHknfWe999/P1544YV48ODBGVU2G/RvPPo3Hv0bj/6NR/+YFq+88sq+sK3n3XffjVdeeeWcK5ot+jce/QOAyRL4zokkSaJYLEZERKPRiEwmc+BypVIpSqVSdDqduHr16jlWOF1ee+21/tnUj+u9996L11577ZQrmi36Nx79G4/+jUf/xqN/TIs333xz6O3f//73z6mS2aR/49E/AJgsge+cuH79eiRJErlcLnK53NBly+VyRDya/qHZbJ5HeVPnueeei4sXL55o3YsXL8Zzzz13yhXNFv0bj/6NR//Go3/j0T+mxVNPPTX09o9//OPnVMls0r/x6B8ATJbAdw4kSdIPbkc5IVsul4tsNhsRETdv3jzT2qbVM888E6+88kpcuHC8l8iFCxfilVdemfuzD+vfePRvPPo3Hv0bj/4xLV544YV4/PHHD7zt8ccfjxdeeOGcK5ot+jce/QOAyRL4zoF6vd7//cqVKyOt0wt82+12dDqdM6lr2n3xi1+MV199deSd9gsXLsSrr77qLOv/lf6NR//Go3/j0b/x6B/T4JlnnomXX355X+j2+OOPx8svvxyf+tSnJlTZbNC/8egfAEzWY5MugLN3+/bt/u+Hzd27Vy/wjXh0srfBE7zNk97O91FnW7ezfjD9G4/+jUf/xqN/49G/41n665nT2c7fOJ3tpMU//If/MK5cuRKvvPJKfP/734+Pf/zj8cILLwjbRqR/49E/AJgcge8caLfb/d+XlpZGWmcwGN7c3DztkmbKUTvtdtaH07/x6N949G88+jce/RvdE09+JP7W3/np+OM//A8n3sYnnn0qnlj6yClWlQ6f+tSn5naKrtOgf+PRPwCYDFM6pNze6RgGR+4O8+STT/Z/v3fv3qnWNIsOOzzXzvpo9G88+jce/RuP/o1H/0b3a7/xq2Ot/z/+L79ySpUAAMBsE/imXJIkJ1pvcITvSbeRNr2d9t7Z1y9evGhn/Rj0bzz6Nx79G4/+jUf/RvPzf+/ZePFb/zw+8exTx1rvE88+FS9+65/Hz/+9Z8+oMgAAmC0L3W63O+kiODvtdjtWVlb6l3d2dkaax7der0e5XI6IR+Hvzs7O2LX82Z/9WfzgBz841jpvvPFGfP7zn+9fvn//fjz77GR36B48eBCvvfZaPPfcc86mfgL6Nx79G4/+jUf/xqN/o3tn+89j+z8mRy639DcypnEARvbd7343Pv3pT/cvT8O+BQCcBXP4ptz29vauy6OetG3QaY3w/c3f/M349V//9VPZ1iQ988wzdtTHoH/j0b/x6N949G88+je6J5Y+IsgFAIATMqVDypmOAQAAAADmh8AXAAAAACAlTOmQcnuncEiS5ETTOpyGf/SP/lEUi8VjrbN3Dl8AAAAA4HAC35RbWloaexunFRB/9KMfjY9+9KOnsi0AAAAAYD9TOqTcaYS1pxEaAwAAAABnT+CbcnvD2u3t7ZHWGzzZ26SmgAAAAAAAjkfgm3J7w9pOpzPSeltbW/3fs9nsaZYEAAAAAJwRge8cyOVy/d8HR+4OMzgS+MqVK6ddEgAAAABwBgS+cyCfz/d/H3WE7+Byq6urp14TAAAAAHD6BL5z4MaNG/3fX3/99ZHWabfbEfFoOgdTOgAAAADAbBD4zoFMJtMf5dtsNo9cvtVq9X+vVqtnVhcAAAAAcLoEvnOiVqv1T+B2VOhbq9Ui4tFUEKZzAAAAAIDZIfCdE9lsNm7duhUREcVi8dC5fOv1ejSbzchkMtFoNM6zRAAAAABgTALfObK6uhobGxuRyWRiZWUl6vV6/7YkSaJcLke5XI58Ph8PHz7sjwgGAAAAAGaDwHfO9MLcarUatVotFhcXY3FxMZ5++unY3t6OjY2NfigMAAAAAMyWxyZdAOcvk8lEqVSKUqk06VIAAAAAgFNkhC8AAAAAQEoIfAEAAAAAUkLgCwAAAACQEgJfAAAAAICUEPgCAAAAAKSEwBcAAAAAICUEvgAAAAAAKSHwBQAAAABICYEvAAAAAEBKCHwBAAAAAFJC4AsAAAAAkBICXwAAAACAlBD4AgAAAACkhMAXAAAAACAlBL4AAAAAACkh8AUAAAAASAmBLwAAAABASgh8AQAAAABSQuALAAAAAJASAl8AAAAAgJQQ+AIAAAAApITAFwAAAAAgJQS+AAAAAAApIfAFAAAAAEgJgS8AAAAAQEoIfAEAAAAAUkLgCwAAAACQEgJfAAAAAICUEPgCAAAAAKSEwBcAAAAAICUEvgA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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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AkZJKpSRdu46Q4zgbbp/JZJTJZGSaZtuzigAM19gVhNLptCzL0tLSkk6cOKF77rlHBw4c0IEDB3T48GGdOHFCS0tL2rNnj+bn59fdx/T0dNP9m6ZJQQgAAAAAAADAphKNRr0ZP8FgUIlEQqVSqaE4VKlUlMvlFA6HlUgkFI1GVS6XhxQxgE5tGXYAnTp9+rSy2ax27NjRdBvDMPT444/rvvvua7jfcRwFAgEZhtG07Y4dO9qqgAMAAAAAAADAJLEsS+VyWaVSSel0WseOHZPjOKpUKjIMQ1NTUzJNU0ePHtXp06dbjrMCGD1jVxCqVCq68847N9zOz9JvrYpNAAAAAAAAADDJLMtSOp0edhgAemzslozbsWOHXn/99Q23e+2117oq7CwtLXERNAAAAAAAAAAAMFHGriBkmqZOnjy54XaZTEaHDh3qeP+lUklTU1PdhAYAAAAAAAAAADCSxq4gdOTIEc3OzuqJJ55ous3Jkyf14IMPKhaLefe99tpr3v9bXSMok8nIsqyexAoAAAAAAAAAADAKxu4aQrOzs0qn04rH45qdnZVt296MnkqlokKhIEkyDEOf+MQnvHa1WUWu6+rUqVP69Kc/vWbfS0tLKhQKrI8JAAAAAAAAAAAmytgVhCQpm83q4MGDchxHuVyu4THXdSVJe/bs0dGjRxWJRJTP55XNZhUIBHTixAkdP35cTzzxhD7+8Y977V5//XV95CMfkWVZ2r179yCfDkbca5df0ytvvdJym5037tSObZ1fs2oz+MWbb+hSdbnlNtuDU/r1d9w0oIjGC/nzh/wBADBYKyuOLl++2HKbbdt2aetWYzABAQAAAPCMZUHIsixduHBBkUhES0tLDY+Zpql8Pq89e/bo61//uk6dOqVKpaJ4PK5EIqEDBw7o5z//ueLxuPL5vGzbVrlcViaTkeM4yufzQ3pWGDU/evlH+tIPv6Tya+W2tg/tCOk/3fWfdOhdnV+7ahL95MyP9Z3/8rhe/aeftLX99Ht+U4f/4yf13n3v63Nk44H8+UP+esd1Xb18/gWd+/739LPKBV1565JuuHG73mXeqr2//UHdMnO7AoHAsMMcWeSve+TOH9d19dwrz+nbL31bZ189qzeuvKGbbrhJ+6b36e7dd+uOnXeQvxbIX+eWqz/Qiy9+QZcunW9r++3bZ7T3ts8rGLyrz5EBAAAAqAm4tSk1Y+qZZ57R4uKiHMeRZVk6fPhwW+3C4bCeeeYZ7w8513WVTCZ1/PjxfoaLDp09e1b79+/3fj5z5oz27dvX9+P+6OUf6eNPfnzjDdfxlbu/sumLQj8582NlH/5MV22PfO5Lm35Qnvz5Q/565+JLFRWeeEwvv/hC021uue122R+/X7t2mwOMbDyQv+6RO3/OLZ/Tw089rOdeea7pNnfsvEMP3fWQ9k7tHWBk44H8dW65+gM988wfdtXWOvDVgRWFhvW3RTuuXr2q8+cbi2kzMzPasmUsv8MJAACAdYzCZ77rBnakPjlw4ICOHTumBx54oO1ikCQVi0WdOHFCBw4c0OHDh5XNZikGwfOlH35pKG0nxXf+y+Ndtz39le7bTgry5w/5641y8Uf62mc/3XJAXpJefvEFfe2zn1a5+KMBRTYeyF/3yJ0/3/3pd3Xv39/bspghSc+98pzu/ft79d2ffndAkY0H8tedF1/8Qtdtz734+d4FAgAAAKClsS8I+TE7O6vFxUU9+eSTuueee4YdDkaE8y9O28vEreeCc0GvXX6thxGNl1+88Xrby3St59V/+ol+8eYbPYxovJA/f8hfb1x8qaJv/sUJXV250tb2V1eu6Jt/cUIXX6r0ObLxQP66R+78Obd8Tp/67qd0+e3LbW1/+e3L+tR3P6Vzy+f6HNl4IH/dWVmptr1M3HouXTqvlRWndwEBAAAAaGpTF4SA9fz8Fz/3vY9X3nqlB5GMp0tO1f8+qss9iGQ8kT9/yJ9/ruuq8MRjbQ/I11xduaLCE49pzFei9Y38dY/c+eO6rh5+6uG2ixk1l9++rIefepj8kb+uXb7s/3Pv5csXexAJAAAAgI1MzILEr7/+ugqFgiqVa98QNQxDtm1r9+7dww0MAIAx8vL5FzZcqqtp2xdf0Mvnz+ndt93e46jGB/nrHrnz57lXnttwmbNWbX/88x/rjp139Diq8UH+AAAAAGwGY18Qeumll5RIJFQoFNZ9PBQKKZ1O68Mf/vCAIwMAYPyc+/73/LX/wfc29aA8+eseufPn2y9921f7by19a1MXNMgfAAAAgM1grJeMe+SRRxQKhVQoFNZdpsF1XV24cEG2bev3f//3hxAhAADj5WeVC/7al7u/jsQkIH/dI3f+nH317FDbjzvyBwAAAGAzGNsZQnNzc5qfn28oBDVbu9t1XWWzWUnS3/zN3wwkPgAAxtGVty4Ntf24I3/dI3f+vHHljaG2H3fkDwAAAMBmMJYzhL7+9a8rlUppx44dmp2dVbFY1C9/+cs1t2q1qnw+r2PHjnlFoUcffXTY4QMAMLJuuHH7UNuPO/LXPXLnz0033DTU9uOO/AEAAADYDMayIHTs2DGFw2EtLS3pxIkTOnDgwLrb7dixQ4cPH1Y6ndaFCxe0e/dufelLX9Lrr78+4IgBABgP7zJv9dc+NNOjSMYT+eseufNn3/S+obYfd+QPAFATi8UUiUQUCoUUDAYVCoV87zOZTCoQCCgQCCgYDK651R4rlUoN7UKhUNN29fdjvDiOo0wmo1gs5p1ngUBAoVBIsVhs3eukJ5NJZTKZgcTXjz7Qb5lMRpFIROFw2Is7l8sNOyxgJI1dQejkyZOSpNOnT2vHjh1ttzNNU/l8vmH5OAAA0Gjvb3/QX/sP+Gs/7shf98idP3fvvttX+4/u+WiPIhlP5A/AZlArSkQikWGHMtJM05RhGKpUKnIcpyf7TKVSKpfLKhaLsm1bjuN4t9pj1WpVlmU1tCsWiyqXy8rn85qamvLaSFI+n1e5XNbS0lJPYkT/OY6jRCKhYDCoRCIh6Vq/zGazKpfLSqfTOnTokBKJhEKhkFcgLBQKmp+f79n5uJF+9IF+M01TlmXJcZyRjpv3YYyCsSsIZbNZzc/P6+abb+64rWmaOnbsmBYWFvoQGSbFO3/9nb73sfPGnT2IZDxtN/x/O2l7cKoHkYwn8ucP+fPvlpnbdcttt3fX9rbbdcvM3h5HNF7IX/fInT937LxDd+y8o+u273vn+3oc0Xghf93bts3/595t23b1IBIArVQqFc3Pz0u6Nrg8qJkG4yiVSimbzSoajfZ0v7UB67m5Oe8+wzAUj8e9AfjVDMOQaZqybbshniNHjsi27abtMHpyuZyCwaAymYyi0aiq1aqy2azi8bj3Wtq2rdnZWZXLZSWTSR0+fFjz8/OKxWIDjbVffaCfbNv24h5VvA9jVIxdQahYLOrIkSNdt//93/99LS4u9jAiTBrj1wyFdnQ/HfZW41bt2Nb+7LVJ8+s33azp9/xm1+2n3/Ob+vV3bN51+MmfP+TPv0AgIPvj92vL1hs6ardl6w2yP36/AoFAnyIbD+Sve+TOn0AgoIfuekjbrt/WUbtt12/TQ3c9RP7IX9e2bg1q+/bul2zcvn1GW7cavQsIGEPBYFCVSqWvx5iaavzS08GDB/t6vEmwOme9Ul/A6eQY09PTfYhmNAyiDwxTMpn0ijrpdFrZbHbDQl48HlexWNTx48eHNtulX32gn0zTHOjxOjl3eR/GqBi7gpCkrmYH1ZimObLTBjE6/tNd/6nrtp/5rc/0MJLxdPg/fnIobScF+fOH/Pm3a7ep3/mTB9semN+y9Qb9zp88qF27B/vhe1SRv+6RO3/2Tu3Vox96tO2ixrbrt+nRDz2qvVObe3ZVDfnr3t7bPj+UtsCkGMQYhWEYKhaLisfjSqfTa5Ymw1rMvBmcSR6ny2Qy3qyQVCqleDzedlvTNIc644U+sLFOzl3ehzEqxq4g5Lqur/bLy8u8oWFDh951SF+5+yu61Wj/Ate3GrfqK3d/RYfedaiPkY2H9+57n4587ksdzdSYfs9v6sjnvqT37tu8S67UkD9/yF9vhMLv1x988ZENl/C65bbb9QdffESh8PsHFNl4IH/dI3f+fOi9H9JX/+1XN1z+7I6dd+ir//ar+tB7PzSgyMYD+etOMHiXrANf7Wim0PbtM7IOfFXB4F19jAwYfetdPL5fLMtSOp3uaEAa6LdB9oFBK5VK3rWCTNPU7Oxsx/tYvVwgRkc35y7vwxgFW4YdQKdM09Q//MM/6MMf/nBX7QuFwsCnD2I8HXrXIf2fv/t/6rXLr+mVt15pue3OG3du6mXi1vPefe/THz/6mH7x5hu6VF1uue324NSmX6ZrNfLnD/nrjV27Tf3Bn/25Xj5/Tud+8D39rHxeV966pBtu3K53hWa09wMf1C0zezf1UkmtkL/ukTt/9k7t1V//m7/Wj3/+Y31r6Vs6++pZvXHlDd10w03aN71PH93zUb3vne8jf02Qv+4Eg3fprt/6llZWHF2+fLHlttu27WKZuAnhuq5ePv+Czn3/e/pZ5cKv3qvNW7X3tz+oW2Zup69sIJ1ODzsEYKgmuQ8cO3bM+38qlep6P3Nzc8rlcr0ICT00yecuJtvYFYSOHj2qEydOdF0QSqVSA78YG8bbjm07KPb48OvvuInBdh/Inz/kz79AIKB333a73r3BbA2sj/x1j9z5EwgEdMfOOzac6YL1kb/ubd1qUOzZJC6+VFHhicf08osvrHnsf517XqX/8Xe65bbbZX/8fpb2bKJQKDDIi01tkvtAqVRSqVTyfvYzy8eyLFY7GjGTfO5i8o3dknHRaFT5fF6PPvpox20/+clPamlpyZuuCQAAAAAAOlMu/khf++yn1y0G1Xv5xRf0tc9+WuXijwYU2fjI5XKKRCLDDgMYmknvA/WzR2zb9r2/XuwDvTHp5y4m39gVhPbs2aMHHnhAs7Oz+v3f/3299NJLG7b5zne+o0OHDunkyZOKRqP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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
     "data": {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    },
    {
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75I5GowoEAioUCh2jbN2oqWV6etrRtqampjquNxqNgWtKJpNj/Vhud7vcLmCrTU1NcRI39O/pp6U/+ZP1Rxd98pN84AQAYNj43QtMjAsXLujmzZsDrXvz5k1duHBB+/fvH3JV2Cr/9b/+V33hC1/QRx99ZN/2J3/yJ3rppZf0u7/7uy5WNp4ikYgikYiOHj2qcDgsaWUu1Xq9rkql0rFsLBZTLBZTsVjU/Pz8mvslKRQK2WFqMBjsut9WkNse+AUCgU0HxfW6fWllhHJrFK9hGPa2DcNQJpNRMBhUMpnU4cOHValUHI9WdaJer8vv93fctjrMHsdzQQ17EGMvJ1ar1+vy+XxD3S9Gb9uN8L3//vvXfZMENnTq1PofOKWV21efQRwAADjD715gYhw6dEg7d+4caN2dO3fq0KFDQ64IW+Xy5ctrwl5J+vDDD/XFL35Rf/d3f+dSZeOvPbg7e/Zs1xGkBw8elKRNR1KuHrk5bL1sf3Fx0f55veNJJBIyDEOmadpTJbglEAisGd1sWZZqtZp9MrN4PL7uCcncVKvVHK2/ekRvL4/r6l7VajWVSiVXTmCH3m27wFdaCX2BnrXOCL6R9jOIAwAAZ/jdC0yU/fv36+WXX9aOHf19vNyxY4defvllRvdOsJdffnlN2Nvy4Ycf6uWXX97iiiZHe9AWiUS6jtxsv33cz0d05MgRhUIhBQKBrkFpKyQc16kAAoGAUqmUPVCwNeey2zW1OH0OrF6/11HWrRHbhmEoEAgoEomoVCq5chI79GZbBr5Az376U2m9v7R+8pNrbysUOFM4AABO8bsXmEgPP/ywXnnllZ5D3x07duiVV17Rww8/POLKMErf/e53N7z/7//+77eoksnWGsU76QzDUKVSUa1W6xoEtoLuQeeO3SqhUEipVErSyknTNjtR3bDk8/k1J7drH0nbPop6EKvXdxrYHj161NH6GB0CX2AjP/dz0l//tfTrv/6z206elL73vc6Tyfz6r68sx5nC5f/F3Y63MXX7niFUMpmmPuH82KfuMJwXMqGmPmE438Yd/s0X8qjh9M/5NibR1P9rOO9b00N4DCYev3uBidVr6EvY6x133XXXhvf/8i//8hZVMtm8enL5arWqbDaraDSqcDisYDC4JswcZ+1BfPvJ7kapVCqtuS0ej9s/Ox0Z3b79YcxP7NXnrhe4GvguLCy4uftNjXt92CJ79vzsg2f7GcFbZxBvfeDcs31Dyna7pz6uX/70JwZe/+5fuUO3+X9hiBVNlt3Tt+nu/b808Pp333Ondk99fIgVTZbd07fp7nvuHHj9vbP0z1n/7tLuqduGWNHk2D31cf3yr9zhaBt3/+ont/X7Xwd+9wITa7PQl7DXWx599FF97GMfW/e+j33sY3r00Ue3uCK4rV6vKx6Py+fz6fDhw7p27ZrS6bQKhYJqtZoSiYTbJfasPcx0OrK2V9Vqdc00C5FIpOM2J6ON29cdRuaVSCS2LAxHf1wNfP1+vw4ePKgbN264WcYay8vLOnjwoKanp90uBeNizx7pv/23tWcEf/rpldv5wNnh354Y/GsdT/6nI0OsZDJ96U9/b/B1//O/GV4hE+qpr31h4HW/9KeDr+sVTz3/2MDrfulrXxxiJZPn3z7nLLx4Mvuvh1SJR/C7F5hY3UJfwl7v2b9/v1566aU1oe/HPvYxvfTSS/rVX/1VlyrDIMrlsqP5aovFooLBoIrFolKplJrNpjKZzJrAclK0z7Nsmqbq9fpI99fax3q9ag9VBz3hXTabtX+OxWLMv+txrga+qVRKoVBIe/fu1dtvv+1mKbaLFy9qZmZGgUBAz2x2spAJl81m5ff7x37i97HR7SujfJV0jX/2zz+tzGt/oLv7GO1296/cocxrf6B/9s8/PcLKJsO9h+7Rc6U/7Guk5d333KnnSn+oew/dM8LKJsO9D8zq5Pk/0t7Z3vu3d/ZOnTz/R7r3gdkRVjYZ7n1gViff+Ir2zm78Fc12e2fv0sk3vrLt+3fvv/gVZf6vZ3T3r64z1+wG7v7VTyrzfz2je//Fr4yosgnG715gYrVC3507d0qSdu7cSdjrUb/7u7+rv/3bv9Xx48f1r//1v9bx48f1t3/7t/rd3/1dt0tDn5xkA62RvdLKqM9MJtPzuuVyeeRh6iBWT1cw6hPNtaa7aA+aWyKRiD06ul6vd4S3vajX63ZQbBiGTp8+7bBajLtdbhfQ+itFKBRSOp3Wf/pP/8m1WhYWFpTNZjU/P68XX3zRtTpGrV6vK5lMqlwuS1qZLJ15VzBs/+yff1ovfusPdaP5j2r86PqGy07dvoevMa9y76F7dPpiVsuND9T4gbnhslN3GNt6GoL13PvArE7/7an/1b/mhstO3eGnf6vc+8CsTv9//0TLjRs9Pv+25zQO67n3X/yKcv/PV3Wj+Y+69kNz0+WnP2Hw/gfAsx5++GGFQiFduHBBhw4d0v79+90uCSPyq7/6qzpx4oTbZaAH7Z/9V48mbTQaA4/EbZ8qoH3O2dXWC3ZzuZyi0ejYTfewOnh96623Oua9rVarmp+fV6VScbwv0zTt11C3fCaXy6ler6tcLiudTisUCnWc0G2jbbdGbrdOrEcG5H2uB77SypM2HA7r8ccfV7FYVDqd1he/uHVfC/3GN76hTCajer2uF198UfPz81u271EzTVOLi4uq1+uq1Woql8sj/6sU0O42/y8QZjiwe+rjhJEO0D9ndk/dRpg7IN77AGDF/v37CXqxLbSPjm00Gpsu38sy663jNKibm5uzf65Wqx2BYaFQ2DCs3cjqIHk91WrVngu3vV/1en3dUa3D1m/PDcNQJBKxB8utzlLK5XJHP1v6fS6YpqnDhw/LNM1NA/dSqaR0Om2fDC+TySiVSnVdvlqtKh6Pq16vKxQKqVAo9BTq93sMGD+uTunQLpFIaHFxUTdv3lQikdCnP/1pnTp1SlevXh3J/q5evaqTJ09qenpayWRSlmVpcXHRU2GvtDKxeDQaVTqdtt/Ma7Uaf80BAAAAAMAB0zTteVfb51g1TVPFYlH1en3NNAmmaaparXaMiC0UCqpWqx3LtpYrFAr2bcVicd3l6vW6PR2AJJ05c2bNci2GYdjTLbRyAtM0lc1mVa/X14yy7XX7iUTCXjeZTHYs39p+azRsK4+Ix+PKZrMyTdMeOds67l6PpxfrPUb1er3rY9SuPSAtl8v241atVnXixImO+XS7PRfK5bL9XGl/zpTLZSWTSc3MzNhhci9hbCaTUalUsr8pHwwGlc1m7R61ji0ajSocDqvRaCiTyahSqWy6/W7HkM/n7V4xLeiEsMZQLpez/H6/tWPHDmvHjh3Wpz71Kevxxx+3Tp8+bV25cmWgbX7729+2Tp8+bT3++OPWpz71KWvHjh2Wz+ezfD6flc1mh3sAE8AwDEuSJcmq1Wpul9PV0tKSXacka2lpye2SAAAAAEygcf5s8eGHH1rvvPNOx+XDDz90uyxsIhKJdDynDMOwL+23FwoFe51YLLZm+f8/e38b5Oh53om9V8+Q8q71Muimpd0oJqVBy1tmSMsWeiZKzodl1oNeJqlKVlmhSVeprDkn0gCm7D0fDrUNzyYbr5PUjtFL7pe1VQbGPFXDNat2Bq2Nk63axAuMfJgPSRxOQ5aL8rhiNkYSvd6NJHaD1FpeiSJxPrQBot/Q6Aa6ATz9+1V1TQN4Xi7cuB+gn//cuJ/e2x077++9ncvlusvl8/l9l8vn8/vWXqvV2tlstrtOLpdrb25u7lrusNuv1WrtfD7fTqfT3XUymUy7VCp1l1lfX2/ncrl2JpNp5/P5bfvtt790Oj3oS9NVKpUGeo0OykXK5XI7k8l0181ms+21tbXu48vLy9u2d9Sf3td2EGtra+3l5eVubZ3nmE6n27lcblvfO8jO57BfW01olDhxxv2+PtNut9vDhsbH4fXXX49yuRzlcjnu3bsXMzMz2x7PZDIxNzcXqVSq+29Hq9WKjY2N7r87h9232+1IpVJx9erVyOfzce4UXuW592Jt6+vrE3vFzK9+9avx6KOPdm+//PLL8cgjp/uiQAAAwOFN8rnFD37wg/ijP/qjbff92I/9WNx330TMwgjAIY37fX1iPz3OnTsXy8vLsby8HLdv345qtbrtyo2dSbF3BsG9dmbZnflXCoVCXLp06fiKBwAAAAAYg4kNfHtdunSpG9C+/vrrUa/X46WXXopms7ltvpWNjY3uRN+pVCrS6XSk0+m4ePFiZLPZUzmSFwAAAAA4PaYi8O117ty5+OQnPxmf/OQnx10KAAAAAMBEOTPuAgAAAAAAGA2BLwAAAABAQkzdlA5Mr29+85vxrW9961DrvPLKK8dUDQAAAAAkj8CXE/OFL3whfvmXf3ncZQAAAABAYpnSAQAAAAAgIQS+AAAAAAAJcSqmdPjSl74U1Wo1ms1mbGxsRKvVimazGalUKiIiLly4EIuLi5HNZuOnfuqnxlprkn3uc5+LpaWlQ63zyiuvxCc+8YnjKQgAAAAAEibRge+XvvSlKBQK0Ww2IyKi3W5ve3xzczMiIur1etTr9YiImJ+fj3K5HH/tr/21ky32FPjABz4QH/jAB8ZdBgAAAAAkVmID39/4jd+IfD7fvZ1OpyOdTndvp1KpaLVaERHbRv2+8sorkc1mo1KpxGc+85mTLhsAAAAA4MgSGfjeu3cv8vl85HK5KJVKcf78+YHXbTQaUSwWI5/Px6VLl+LDH/7w8RUKAAAAADBCibxoW7lcjnw+H7du3TpU2BsRkclkolarxd/8m38zSqXSMVUIAAAAADB6iRzh+8UvfjHW1taG2sZv/MZvRDabHVFFAAAAAADHL5EjfNvtdrzvfe8bahvnzp0bUTUAAAAAACcjkYHvqHQu6gYAAAAAMA0SGfim0+n4nd/5naG2cfv2baN8AQAAAICpksjAN5fLRS6Xi69//etHWv/evXvxxBNPxM/93M+NuLLJZCQzAAAAACRDIi/als/no1QqRTqdjqWlpbhw4UJkMpmYm5uLVCq1a/lWqxXNZjOazWbUarWo1+uRTqfjs5/97MkXf0J6Q96NjY3xFQIAAAAAjEwiA9+IiEajET/90z8dt27dimq1OvB67XY70ul03Llz5xirO1n1ej0itkLejY2NKJfL2x4vFApRKBQinU53A/ELFy7sGY4DAAAAAJMrsYHvuXPnYm1tLSqVSpTL5fjyl7984DqZTCYKhUJcuXLlBCo8OYuLi9tup1KpbWHuxsZGXLt2bduo32q1Grlc7oQqBAAAAABGIbGBb0c+n498Ph8REV/+8pfjzp0724LNVCoV6XQ6Ll26NKYKj1+73R53CQAAAJAoxWIxVlZWdt2fSqXi3r17B35rdnZ2Nlqt1q7lOvdtbm6OsFqYfEtLS91pVzc2NmJubi7W19fHXdZUSnzg2+tjH/tYfOxjHxt3GQAAAMCUK5VKcfXq1djY2IjV1dUoFosRsRXYXrp0KdbW1vquv7a2Fs1mM8rlcqyurkZERDabjWKxGOl0+tjrh0mTTqe719iKiJibmxtzRdPrzLgLAAAAAJhGnW8Nd6ZE7AS1jUZjz9G/vdLpdGSz2ahWq5HJZCKTyUStVotsNivw5VQqlUqmGB0RgS8AAADAkFKpVNRqte7tYrEYjUZjoHWz2WxcuHDhuErb0+zsbHckJUwSI3uHJ/AFAAAAGIF0Oh2lUql7e2lpaYzV9Nd7fSOYJAfNf83BBL59PP744+MuAQAAAJgiy8vLkc1mIyKi2WxGoVAYc0W71ev1cZcAHCOBbx/eAAEAAIDDqlar3VGKlUpl4vKFcrk87hKAYyTw3cfrr78+7hIAAACAKZRKpeL69evd20tLSxMzhUK9Xo/V1dVxlwEcI4HvPprNpjlDAAAAgCPJ5XKRz+cjYmu+3EmYz3d1dTUWFxfHXQYTrNFoTNyIdA4vkYHvU089FY8//vhQP535dgAAAIB9fP/7h7v/lCmXy5FOpyNia2RtpVIZepv1ej2WlpZifn4+ZmZmYnZ2NhYWFqJYLO47irher8fMzMyu0Lmzjd6fUY9E7sxj3Luv+fn5WFpaGihYPMrzjdiaSmNxcTEWFha66zabzYjYCjV7t9mpp/N47747Nc/OznZ/ZmZm9gzOC4XCtmU7296vts4ys7OzfdujWCx2n8vs7Oy2bRaLxZifn+9uo1+bFIvF7jZmZ2djcXGxO9q7WCzG7OxsXLlyJZaWlvr+x8Bh69+p0Whs6xPz8/OxuLg4kuODLYkMfF955ZWo1WpD/Wxubo77aQAAAMDkev31iL/6VyOefXb7/c8+u3W/qRIjYms+345CobArVBxUq9WKhYWFWFxcjHQ6HdVqNdrtdmxubsb169ej0WjE7OxsrKys7Fo3m83G5uZmbG5ubpu/t5N/9P6M8tvOnTDy1q1bUSwWY319PTY3N6Narcbc3FwsLi7uWe+wzzciIp1ORyaTiVarta3Ni8ViXLlyJQqFQqyvr0e73Y5SqRSrq6sxPz8fjUaju2w2m421tbWoVqvRarW6P7Vabdvr2lEqlSKXy3VD13K5HLVarft4p+ZCoRCLi4tx7969aLfbsba2FhERi4uLe44En5+fj3Q6Hc1ms7vtVqsV8/Pz8cADD0StVotWqxWrq6tRLBZ3rd/Zb6VSiatXr8bm5mbcu3cvMplMLC0txczMTEREbG5udmvZK7w9av0dnZHuCwsL0Ww2o1wuR7vdjvX19SiXy7G2thYLCwvbXgOOqJ1Am5ub7dnZ2fbi4mK7UCgc+mdpaak9Pz/fnpubG/dTOfVefvnldkR0f15++eVxlwQAAEyhST63ePPNN9t/8Ad/sO3nzTffHHdZ/bVa7fbHP95uR2z9PPPM1v3PPPPOfR//+NZyp8D6+no7lUrt+3ipVOr2vXQ6vevx5eXldj6fP3D7EdFeW1vbd7nl5eV2RLRzudy+y1Sr1W4t6+vr+y43rGw2246IdiaTaW9ubu56vLdNdhrl811bW+vuJ5/Pt7PZ7J7L5XK5br399nVQu3X2t7Pu3jpqtVrfGpaXl/d8vFwud/tQLpdrl0qldru9lYN1tr2zLTY3N7ttudd+O/vsXW9tbW3k9W9ubrbT6XT3ddhPb//c61iZFuN+X09k4Ntut9vFYrH9D/7BPzjy+mtrawLfCTDJf5QBAADTY5LPLcYdDBza9763Pezt/Hzwg7vv+/jHt5ZPuIMC33a73c5kMt3+tzMQOyjw7QRlnYCvn064Vy6X93z8JALfQcLR3vbYGS6O8vmur69395NKpfYMn9vt/gF0u709VO33Wu33WnbqPCjY7+xjrzr7haFra2t7tkHntdivf9ZqtYH6w7D1d/4D4KDjpHdZge/RJXJKh4itYeS9w+YPa35+fmKuoAkAAAAT413vitjra9t/8ie771ta2lqebVMArKysDDzfaaVS6U5JkMvlDlz+iSeeiIit6SPGodVqdadZyOVy3TmMd7p69WqkUqnI5XKRyWS694/6+c7NzXV/z2az+05Z0Xv/XnlQKpXqXoSvUqnsmxlVKpVd0yqsrKx0l+/3uqTT6W573bp1a9/l9tpOJpPp1ter08/2ex1679+vTw5bf71e72776tWr+67fMcppRU6rxAa+6XQ67ty5c+T1z507F+12e4QVAQAAQEI8/XTEM8/0X+aZZ7aWIyKiOw9tx0EX2OronXN3v9CuV+8FvToX5DpJvRfe6nfhr1wu153Pt9dxPt+LFy8euL1+eoPcvS4wVqlU4sKFC7vqvnnzZvf33nB7L53H19fX+y6XzWYPrHdUhq2/9zU9aH1GI7GB7/nz52N2dnaobQzyP0kAAABwKj39dMQHP7j3Yx/8oLB3D7lcrps1tFqtuHLlyoHrHPYCVr2jI1966aVDrTsKvd+2HiSw3ek4n++wI0fT6XQ3aL127dqux0ul0r4XTeuYn5/v+9NoNCKdTscDDzwwkudy4cKFiIh9LxbYe/9+IfKw9ffu4yh9gsO7b9wFHKdXXnllqPUPGj4PAAAAp9azz+49jUPE1v3PPiv03cP169ejXq9Hq9WK1dXVPUeKTrOkh3ulUikWFhai1WpFpVLpTqOwuroaqVTqwJG3B43cHVTvVBX9lEqluHXrVrRarajX67vq64y+zefzA71eo6qf45XYEb4AAADAMXn22YjPf77/Mp///NZybJNKpbZNY1AoFPqOaj1saNo7TUTvdAeDqNfrfadhGERvvUe5NtJJPt+jyGQy3WkJSqVS9/5r167tOz/tOIPvVCrVrWtpaak7l26z2YylpaVYXV2NbDa7bdqFnYatf9g+weEJfAEAAIDBff/7ETvmXY2Ivad3qFa3lmebbDYby8vL3dv9LuDWO93kINMd9I7A7FzQbFCjCON6A+OjXFvpJJ/vUXUC1GazGfV6PRqNRjSbzX2nBu29f5CL9bVarX2nYDiKcrkc6+vrcfXq1SgWizE7O9t9nWq12rZpOPYybP1PPvlk9/dhrrfF4AS+AAAAwODe9a6I3/7tiI9//J37nnkm4l/+y+0Xcvv4x7eWe9e7Tr7GE9ZqtQ4dlpZKpYEuYHX16tXufK17zRu7U2d6yuXl5T3nee29b2eouLGxMfRozt799o6A3U+xWNw27+2on+9xyOVy3XYqFot9R/dGbLVDp7Z+I2k7OiNvR6HRaHRf1+Xl5VhbW4vNzc1YX1+ParU60MXfhq0/l8vtOSp6P6MMu0+rqQt8H3/88Th79mz8nb/zd4be1j/9p/80nnnmmfiN3/iNeOONN0ZQHQAAAJwC5869E/o+88w7c/U+/fTW7U7Ye+7ceOs8IZ1Ri4cNqqp7jZTeIZVKxe3btyNia57YfqNel5aWotVqRTab3TdY61zEK2L3CNpqtRoLCwuDlN5Xp95msxmFQmHf5er1elQqlW1h6aif78bGxqHrH2SdTkjdaDSiXq9vG7G9l97n1G/e5pWVlWg2mwdub1CpVCparVYUCoWhRnAPW3+1Wo1UKhXNZjNWVlb2Xb9YLHZf86O8dvy59hRZXV1tz8zMtGdmZtpPPPHEkbfzxS9+sT03N9c+c+ZM9+fs2bPtL33pSyOsllF4+eWX2xHR/Xn55ZfHXRIAADCFJvnc4s0332z/wR/8wbafN998c9xlDeZ73zvc/QmyubnZXltba5dKpW6/SqfT7Wq12l5bWxt4O+VyuR0R7Xw+33e59fX1djqdbkdEe3l5ubuP9fX1drVabWcymYG20263t9W8trbW3tzcbJdKpXY6nR647oOsr6+3s9nstnbZ3Nzstls+n2+n0+l922rY57vX65PNZrvPd+dynVojol0qlXYtt5dUKtWtb9A26TynXC7XbZN2u92u1WrtbDbbzmQy7fX19T2fSy6X69a4vLzcXl9fP7DGdrvdbaudP6lUqp1KpdrpdLpbz3HU37t+7+vWu1znNcjn89tei1wu1y6Xy/tuc1KN+3196gLfQqHQbjQaR95GvV7vhsazs7PtxcXF9vz8fHtmZqZ99uzZ9r1790ZXMEOb5D/KAACA6THJ5xbjDgY4muXl5V3BWScAjIh2rVYbeFu5XK5dKpUGWrZarbZzudy2faXT6W4AOKhOQNepO5fLDRQeHlatVttVbyaTOfbn2xuO7nxtUqlUd7md9/fezuVyfWsrl8vtVCp16Hbb+ZxSqVQ7k8m0y+Xynst3Qta9auyE9v3UarU9A9+9ftLp9IH96LD191u/85PNZrvHTOexdDrdzmQy2x6bFuN+X59pt9vto44OPmn37t2Ln/u5n4vf/u3fPvI25ubmotVqxcLCQtTr9Tj3518vqdfr8df/+l+PJ554Iv7JP/knoyqZIX31q1+NRx99tHv75ZdfjkceeWSMFQEAANNoks8tfvCDH8Qf/dEfbbvvx37sx+K+++4bU0VAUnTm083n87G0tLRrjubOBdZqtVp3qoZUKhWbm5vjKDcxxv2+PlVz+J4/fz5ee+21+PrXvx4REb/3e78XTz31VPzYj/1YXLx4MZ566qn4vd/7vX3X/+IXvxitVitmZmbi+vXr3bA3YusKmbdu3Rpo/hwAAAAAmGSFQiFWV1ejXC5HuVyObDYb6XR6208mk4lcLhflcjk2NzcjnU5Hq9Ua2UXjGI+pCnwjIiqVSuRyubh69WosLCxEpVKJZrMZjUYjKpVKLCwsxLPPPrvnujdv3oyIiHQ6HT/1Uz+16/FcLhfnz5+P55577jifAgAAAAAcq86I3Xw+P9DyqVSqezG6l1566djq4vhNXeCbyWRidnY2VlZWor01B/Gun+Xl5T1D30ajETMzM5HJZPbdfqFQiH/xL/7FcT4FAAAAADhWnekbGo3GwOusra1FRMT8/Pyx1MTJmLrA98tf/nJ37t3l5eWoVquxtrYWa2trUavVYnl5Od73vvfF8vJyfO1rX9u27sbGRkTErvlKemWz2Wg2m8f5FAAAAADgWJVKpYjYmse31WoduHylUolKpRLpdHrgUcFMpqkLfMvlcmQymbh37178yq/8Snzyk5+Mj33sY/Gxj30sLl26FL/yK78S9+7di/Pnz8fKysqe23jggQf23X46nRb4AgAAADDVcrlcd8Tu7OxsFAqFaDQa28LfZrMZq6ursbCwEIVCIXK5XKyvr4+pYkZl6i75efv27ahWq9suuLZTKpWKX//1X4+nnnpq2/2dC7alUql91z137txA/+sBAAAAAJMsk8nE+vp6NBqNKJfLceXKlWi1WtFsNiOVSsXc3Fyk0+l48skn4/bt230zM6bH1AW+zWZzzwuu7TTM1Az9wmQAAAAAmCaZTCbK5fK4y+CETN2UDufOnYs33njjwOVef/31IwW39+7dMzE1AAAAADCVpi7wTafTcf369QOXq1QqcfHixUNvv9FoxNzc3FFKAwAAAAAYq6kLfJ944olYXl6O5557bt9lrl+/Hr/4i78YS0tL3ftef/317u/95uitVCqRyWRGUisAAAAAwEmaujl8l5eXo1wuRz6fj+Xl5chms90Ruc1mM+r1ekRsXbjts5/9bHe9zqjgdrsdN2/ejM9//vO7tn3v3r2o1+vmNAEAAAAAptLUBb4REdVqNS5cuBCtVitWV1e3PdZutyMi4vz58/Hkk0/G4uJi1Gq1qFarMTMzE7/yK78S165di+eeey4+85nPdNd744034q//9b8emUwmPvzhD5/k0wEAAAAAGImpDHwzmUy88sorsbi4GPfu3dv2WDqdjlqtFufPn48vfvGLcfPmzWg2m5HP56NQKMTHPvax+Pa3vx35fD5qtVpks9lYX1+PSqUSrVYrarXamJ4VAAAAAMBwpjLwjdgKdtfX1+PLX/5y3LlzJ1qtVmQymbh06VJ3mU9+8pPxyU9+cte6pVIp6vV63Lp1K6rVakRsjQwuFovx0z/90yf2HAAAAGBmZmbXfW+//fYYKgFgFPZ6Dz9z5uQupTa1gW/Hxz72sfjYxz526PXW1tZiZWUlbt26FXNzc1EoFPYMhwEAAOA4nTlzJmZmZrpTFEZEfPe73413vetdY6wKgKP67ne/u+32zMzMnv+5d1ymPvAdxvLyciwvL4+7DAAAAE6xmZmZePe73x3/5t/8m+59Gxsb8Z73vCfuu+9Un7YDTJ0f/OAHsbGxse2+d7/73QJfAAAAOE1SqdS2wPd73/tefO1rX4tz587Fu9/97rj//vtPNCwAYHDtdjvefPPN+NM//dN4/fXX480339z2eCqVOtF6EhP4vvHGG1Gv16PZbEbEVkNms9n48Ic/PN7C4JR7Y+M7sfGvWn2Xmft3UvG+ufeeTEFT5jut78bGN9/ou8zcB94X70398AlVNF3eeP3PYuO17/RdZu6B98b7zv3FE6pourzx+ndj49v/pu8ycz/ynnjfOf1vp++8/t147Vv9+15ExAPvf2+8V/vt8p3Wd2PjW/3f+yIi5t7v/W8vW+13wHvf+9+r7fbxnc0/Heyzd/bdJ1QRp8V73vOeOHv2bLz11lvd+95888349re/Hd/+9rfHWBkAw7jvvvviPe95z8nu80T3dgy+9rWvRaFQiHq9vufj8/PzUS6X46/9tb92wpXB6fZ7v/Ny/Orfei6+/gd/PNDyH/r3fjT+1q9+Nn7yP3rkmCubDl/531+JL/zyb8U3Xvm/B1r+oY/8pfj5v/dfxEf/g/ljrmw6/N7a1+LXnv2f4+v3Bjs5+tD5H4lf+Px/Ej+Z+fDxFjYlfu/Ovfi1lX8e32h+a6DlH0q/P35h+T+Nn7xw/pgrm3xf+T+b8Wt//5/FN9a/OfA6D81/IH7+v/rP4icvpo+xsunwlf9jPb7w3/5WfOOVQ7TfRz4QP/9Ln4iPftz731d+dz2+8N/9TwP3v4fmPxA//9/8jfjov6/vRUR85X/7o/jC312Nb/xf/3qg5R/6K385fv6/z8VH/8MfO+bKptvdu3fjxRdfjMceeywefvjhcZcz0WZmZuKhhx6KV199NX7wgx+MuxwARuC+++6LBx988MS/oTHT7p0Vfso888wzUSwWI2Jr6PTOxus8tZmZmVhaWop/8k/+yYnXyHC++tWvxqOPPtq9/fLLL8cjjwgEJ93v/c7L8bcv/fKR1n3mS3/v1Ie+X/nfX4lf/NnykdYt/ebPnfrQ9/fWvhbLv/CPj7TuP/i1nz31oe/v3bkXxZ+7caR1V3798qkOfb/yfzaj+Jnnjrx+6f/7mVMd+n7l/1iPX/x05cjrl/5x/lSHvl/53fX4xf/nbxxp3dKNK6c+9P3K//ZH8YtP/uqR1i3d+gWh7z5eeOGFuHz5crz11ltx9uzZuHHjRnzqU58aWz3Tcm7x5ptvxh//8R/Hv/23/3bcpQAwhL/wF/5C/OiP/mjcf//9J77vMye+xxG5evVqFIvFaLfb3WC383vvfZ37q9Vq/MzP/My4yiUJvv/9w91/iv3q3zp64DHMuknxhV/+rSHW/R9GV8iU+rVn/+cjr/urz/4vI6xkOv3ayj8fy7pJ8Gt//58Ntf4Xhlx/2n3hv/2tIdf/H0dTyJT6wn/3P41l3aT4wt9dPfq6//XR102yF154IT796U93pyd466234tOf/nS88MILY65s8t1///3x4Q9/OB566KGYm5uLH/qhHxp3SQAM6Id+6Idibm4uHnroofjwhz88lrA3YkqndPjiF78YpVIpUqlU5PP5ePLJJ+NjH/vYruVef/31uHPnTty6dSuuX78e1Wo1Ll68GE8//fQYqmaqvf56xOOPRywtRfT2n2efjahWI377tyPOnRtffRPkjde+M/A0Dnv52ldfjTc2vnNq5/R9Y/NPB57GYS9f/6P/O77T+u6pnZfxjde/O/A0Dnv5evNb8cbrf3Zq5/R9o/Xdgadx2MtW+333VM7p+0bru4eaxmEvX3/lm/Gd1797Kuf03XrvG7L9TvH73xubfzpU//v6K6e37SL+vP0GnMZhL1//v/51fGfzT83p26MT9r799tvb7n/77bfj05/+dETEWEf6ToOZmZl497vfHe9+91a/arfb8fbbb8cUf0EXINFmZmbizJkzE3NxzakMfK9cuRILCwtRr9fjXJ+Q7dy5c3Hp0qW4dOlSFIvFWFxcjL//9/9+XLlyJd73vvedYMVMtU7Y+7u/u/UTsRX6PvtsxOc/v3X78ceFvn9u41+3ht/Gv2qd2sB3c4CLPB1k45tvnNqT9o3X+l9gbLBtfOfUBr4jab9v/5tTGfhufHv4Yzci4rVvfedUBr6bI2q/jW+dzve/zQMurjiIjW9951S2XUTE5gEXaBvExjffEPj+uf3C3g6h79HMzMzE2bNnx10GAFNi6qZ0uH79ekRE3L59u2/Yu1M6nY5ardad3gEG8v3vvxP2dnz+8xH/7r/7TtgbsfX444+b3gEAgFProLC3oxP6mt4BAI7H1AW+1Wo1VlZWjjRCN51Ox5UrV+LWrVvHUBmJ9K53bU3jsNOf/Mnu+5aWtpYHAIBTZtCwt0PoCwDHZ+oC37W1tXjiiSeOvP7P/MzPxJ07d0ZYEYn39NMRzzzTf5lnntk+ty8AAJwSd+/ejcuXLw8c9na8/fbbcfny5bh79+4xVQYAp9PUBb4RMdT8u+l0Olqt1uiK4XR4+umID35w78c++EFhLwAAp9aLL74Yb7311pHWfeutt+LFF18ccUUAcLpNXeA77FVJNzY2IpVKjaYYTo9nn917GoeIrfufffZk6wEAgAnx2GOPHfmCYmfPno3HHntsxBUBwOk2dYFvOp2O3/md3zny+vV6PdLp9AgrIvGefXb7Bdr28vnPC30BADiVHn744bhx40acOXO408szZ87EjRs34uGHHz6mygDgdJq6wPfJJ5+MX/mVXzny+qVSKbLZ7AgrItG+//2IanX3/XtN71Ctbi0PAACnzKc+9al4/vnnBw59z5w5E88//3x86lOfOubKAOD0mbrAN5fLRa1Wi2ePMJry537u5+LevXtRKBSOoTIS6V3vivjt3474+Mffue+ZZyL+5b/cfiG3j398a7l3vevka5wwc385Nfw2/p3htzGtZt//3qG3MfeBo89zPu3mHnjPCLYx/GswrUbSfj8y/Dam0dyPjKbfPDCC94BpNDui9pt7/+l8/5sdwXE3d0r7XkTE7Ag+N0/zZ2+vQUNfYS8AHK+pC3zPnz8ff/tv/+1YXl6On/mZn4mvfe1rB67zpS99KS5evBjXr1+PXC4XH/7wh4+9ThLk3Ll3Qt9nnnnnAm1PP711uxP2njs33jonxPseeG986N/70SOv/+FHHoz3zZ3ek873zb47HvrIXzry+h/6sb8U70398Agrmi7vO/fD8aHzP3Lk9T+Ufn+879xfHGFF0+V9qR+Oh9LvP/L6W+13Ovvf+1I/HA/Nf2CobXzoIx+I957W9pt9dzz0kSHb7xS//71v9t1D9b8PfeT0tl3En7ffX/nLR17/Q3/lL8d7Z989woqm20Ghr7AXAI7f1AW+EVvTMvzUT/1UVKvVmJ+fjwceeCAef/zxePLJJ+Opp56Kp556Kp588sl4/PHH44EHHojFxcVYW1uLdDod169fH3f5TKNz5yL+1//1nbC34+mnt+4X9m7zt371s0de9xf+0WdGWMl0+vm/918ced3P/dLR102KX/j8f3L0dZ/+j0dYyXT6heX/9Mjr/vwQ6ybBz/9X/9lQ63/u7wy3/rT7+V/6xFDrf+6/+RujKWRK/fwQz/9zf/c/H2El0+nn//vckdf93BDrJtV+oa+wFwBOxky73W6Pu4ijeP311+Onf/qn48tf/nLMzMzsu1zn6aXT6ajVanH+/PmTKpER+OpXvxqPPvpo9/bLL78cjzzyyBgrYlBf+f99NX71bz0XX/vqqwMt/+FHHoxf+EefiZ/8j7y+ERG//3+sxxd++X+Ir//R/z3Q8h/6sb8Un/ul/yI++h/MH3Nl0+Erja/Frz77v8TXm98aaPkPpd8fv/D0fxw/mfnw8RY2Jb5y51782so/P1T7/fzyfxo/ecFn7FdeasYX/v4/i6+/8s2B1/nQRz4Qn/s7/1n85EUXlf39312PL/y3/+PA730Rf/7+99/8jfjox73//f7/2Ywv/Hf/U3z9lQE/Oz7yl+Jzf/c/j4/++/peRMTv/+9/FF/4r1fj6//Xvx5o+Q/9lb8cn/vvc/HR//DHjrmy6fXCCy/E5cuX46233oqzZ8/GjRs3xhr2OrcA4LSY2sC3Y2VlJX7xF3+x7zK5XC6uX78e54zCnDr+KJt+b2x8Jzb+VavvMnP/TupUT+PQz3da342Nb77Rd5m5D7zvVH8Vt583Xv+z2HjtO32XmXvgvad6God+3nj9u7Hx7X/Td5m5H3nPqZ3GoZ/vvP7deO1b/ftexNacvad1God+vtP6bmx8q/97X8TWnL3e/3bbar8D3vve/15tt4/vbP7pYJ+9pnEYyN27d+PFF1+Mxx57LB5++OGx1uLcAoDTYuoD34it0b63bt2KWq0WzWYzIiLm5uZicXExcrmcUb1TzB9lAADAKDi3AOC0uG/cBYzCuXPn4sqVK3HlypVxlwIAAAAAMDZTedE2AAAAAAB2O3WB77179+Lq1avjLgMAAAAAYOROXeDbbDZjZWVl3GUAAAAAAIzcqQx8AQAAAACSaGIu2vZP/+k/PfZ9bGxsRKlUilQqdez7AgAAAAA4aRMT+H72s5+N119//dj30263Y3Z29tj3AwAAAABw0iYm8J2bm4tWqzXuMgAAAAAAptbEBL6pVCpmZmbi0qVLsbi4eCzTLrRarbh27drItwsAAAAAMAkmJvCdm5uLiIh/8S/+xbHu59y5c/HUU08d6z4AAAAAAMZhYgLfdDodm5ubx76f+fn5Y98HAAAAAMA4TEzgu7i4eCJhbDqdjk9+8pPHvh8AAAAAgJM2MYHvSYWw58+fj1u3bp3IvgAAAAAATtKZcRcAAAAAAMBoCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkxH3jLgAAAHq98Z0/i2+3/vTA5X4k9e5433v/4glUBAAA00PgC4d09+7dePHFF+Oxxx6Lhx9+eNzlTB3tNxztNxztNxztNxztd7C1l78R//C5L8XX/vi1gdf58I8+EE9/9lJkHnnwGCsDAIDpYUoHOIQXXnghfuInfiKeeuqp+Imf+Il44YUXxl3SVNF+w9F+w9F+w9F+w9F+B1t7+Rvx//7l6qHC3oiIr/3xa/G3/t6taHz11WOqDAAApovAFwb0wgsvxKc//el46623IiLirbfeik9/+tNO2gek/Yaj/Yaj/Yaj/Yaj/QbzD5/70pDr3x5RJQAAMN0EvjCAzsn622+/ve3+t99+20n7ALTfcLTfcLTfcLTfcLTfYF7/zp8demTvTvdefS3e+M6fjagiAACYXubwhQPsd7Le0Tlpj4j41Kc+dZKlTQXtNxztNxztNxztNxztN7jXBrhA2yC+3fpTF3Hb4e7du3Hjxo149dVX48EHH4zLly+bQ/oQtN9wtB8AjIfA95SqVCpRLpej2Wx278tms1EoFCKbzY6xssly0Ml6h5P2vWm/4Wi/4Wi/4Wi/4Wg/JsE//sf/OP7L//K/jB/84Afd+/7hP/yH8dxzz8XP/uzPjrGy6aD9hqP9AGB8TOlwyjQajZidnY1SqRSFQiE2Nzdjc3Mz1tbWYm5uLhYXF2NpaSlarda4Sx27QU/WO3w9dzvtNxztNxztNxztNxztxyS4e/furrAtIuLNN9+Mz3zmM/GHf/iHY6psOmi/4Wg/ABgvge8pUq/XY2FhIebm5mJtbS3y+Xz3sXQ6HeVyOcrlcqyursbCwsKpDn3v3r0bly9fHvhkvePtt9+Oy5cvx927d4+psumg/Yaj/Yaj/Yaj/Yaj/ZgUN27c2BW2dbz55ptx48aNE65oumi/4Wg/ABgvge8p0Wq1YmlpKSIiqtVqpFKpPZfL5/ORz+ej2WzGpUuXTrDCyfLiiy92r6Z+WG+99Va8+OKLI65oumi/4Wi/4Wi/4Wi/4Wg/JsWrr77a9/FvfOMbJ1TJdNJ+w9F+ADBeAt9T4sqVK9FqtSKTyUQmk+m7bKFQiIit6R9WV1dPoryJ89hjj8XZs2ePtO7Zs2fjscceG3FF00X7DUf7DUf7DUf7DUf7MSkefPDBvo8/9NBDJ1TJdNJ+w9F+ADBeAt9ToNVqdYPbQS7IlslkIp1OR0TEtWvXjrW2SfXwww/HjRs34syZwx0iZ86ciRs3bpz6qw9rv+Fov+Fov+Fov+FoPybF5cuX4/7779/zsfvvvz8uX758whVNF+03HO0HAOMl8D0FKpVK9/eLFy8OtE4n8G00GtFsNo+lrkn3qU99Kp5//vmBT9rPnDkTzz//vKus/zntNxztNxztNxztNxztxyR4+OGH47nnntsVut1///3x3HPPxY//+I+PqbLpoP2Go/0AYLzuG3cBHL+bN292f99v7t6dOoFvxNbF3nov8HaadE6+D7raupP1vWm/4Wi/4Wi/4Wi/4Wi/w3kg9e6RbOdHRrSdpPjZn/3ZuHjxYty4cSO+8Y1vxEMPPRSXL18Wtg1I+w1H+wHA+Ah8T4FGo9H9fW5ubqB1eoPhtbW1UZc0VQ46aXey3p/2G472G472G472G472G9y59/7F+PCPPhBf++PXjryN8w8+EO97718cYVXJ8OM//uOndoquUdB+w9F+ADAepnRIuJ3TMfSO3O3ngQce6P5+586dkdY0jfb7eq6T9cFov+Fov+Fov+Fov+Fov8E9/dlLQ63///nMcOsDAEBSCHwTrtVqHWm93hG+R91G0nRO2jtXXz979qyT9UPQfsPRfsPRfsPRfsPRfoPJPPJg/KO/90Scf/CBgxfucf7BB+If/b0nIvPIg8dUGQAATJeZdrvdHncRHJ9GoxELCwvd25ubmwPN41upVKJQKETEVvi7ubk5dC3f/OY341vf+tah1nnllVfiE5/4RPf2yy+/HI888sjQtQzj7t278eKLL8Zjjz3maupHoP2Go/2Go/2Go/2Go/0G98Z3/iy+3frTA5f7kdS7TeMADOyrX/1qPProo93bk3BuAQDHwRy+CbexsbHt9qAXbes1qhG+X/jCF+KXf/mXR7KtcXr44YedqA9B+w1H+w1H+w1H+w1H+w3ufe/9i4JcAAA4IlM6JJzpGAAAAADg9BD4AgAAAAAkhCkdEm7nFA6tVutI0zqMwuc+97lYWlo61Do75/AFAAAAAPYn8E24ubm5obcxqoD4Ax/4QHzgAx8YybYAAAAAgN1M6ZBwowhrRxEaAwAAAADHT+CbcDvD2o2NjYHW673Y27imgAAAAAAADkfgm3A7w9pmsznQeuvr693f0+n0KEsCAAAAAI6JwPcUyGQy3d97R+720zsS+OLFi6MuCQAAAAA4BgLfUyCbzXZ/H3SEb+9yuVxu5DUBAAAAAKMn8D0Frl692v39pZdeGmidRqMREVvTOZjSAQAAAACmg8D3FEilUt1RvqurqwcuX6/Xu7+XSqVjqwsAAAAAGC2B7ylRLpe7F3A7KPQtl8sRsTUVhOkcAAAAAGB6CHxPiXQ6HdevX4+IiKWlpX3n8q1UKrG6uhqpVCqq1epJlggAAAAADEnge4rkcrmo1WqRSqViYWEhKpVK97FWqxWFQiEKhUJks9m4d+9ed0QwAAAAADAdBL6nTCfMLZVKUS6XY3Z2NmZnZ+P8+fOxsbERtVqtGwoDAAAAANPlvnEXwMlLpVKRz+cjn8+PuxQAAAAAYISM8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIA/X3/+4e7n+20HwAAcIIEvgDA/l5/PeKv/tWIZ5/dfv+zz27d//rr46lrWmg/AADghN037gJgmty9ezdu3LgRr776ajz44INx+fLlePjhh8dd1tTQfsPRfsPRfkfw+usRjz8e8bu/u/UTEfH001th5ec/v3X78ccjfvu3I86dG1+dk0r7jYRjdzjabzjabzjaDwDGpA0T7OWXX25HRPfn5ZdfHlstzz//fPu+++7bVs/999/ffv7558dW0zTRfsPRfsPRfkfwve+12x//eLsdsf3ngx/cfd/HP761PO/QfiPh2B2O9huO9hvOJLbfJJ1bAMBxmmm32+2TCJbhKL761a/Go48+2r398ssvxyOPPHLiddy9ezc++tGPxg9+8INdj91///3x+7//+/HjP/7jJ17XtNB+w9F+w9F+Q+gdidrPM89sjVxlO+03FMfucLTfcLTfcCa1/Sbl3AIAjps5fGEAN27c2PMP1oiIN998M27cuHHCFU0X7Tcc7Tcc7TeEp5/eCiP7EVbuT/sNxbE7HO03HO03HO0HAOMl8IUBvPrqq30f/8Y3vnFClUwn7Tcc7Tcc7Tekp5+O+OAH937sgx8UVh5E+x2ZY3c42m842m842g8AxkvgCwN48MEH+z7+0EMPnVAl00n7DUf7DUf7DenZZyP+5E/2fuxP/mTrcfan/Y7MsTsc7Tcc7Tcc7QcA4yXwhQFcvnw57r///j0fu//+++Py5csnXNF00X7D0X7D0X5DGGQO2s9/Xmi5H+03FMfucLTfcLTfcLQfAIyXwBcG8PDDD8dzzz236w/X+++/P5577jkX7TiA9huO9huO9jui738/olrdff9e0xNUq1vL8w7tNzTH7nC033C033C0HwCM10y73W6PuwjYz6RdSfcP//AP48aNG/GNb3wjHnroobh8+bI/WA9B+w1H+w1H+x3B669HPP54xO/+7tbtzgXGekeufvzjEb/92xHnzo2vzkml/UbCsTsc7Tcc7TecSWu/STu3AIDjIvBlovmjDGDMOqHl0tL2C4w9++zWyFRhZX/aD2BiOLcA4LQQ+DLR/FEGMAG+//2Id71r8PvZTvsBTATnFgCcFubwBQD62y+UFFYORvsBAAAnSOALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4HuKraysxOzsbLRarXGXAgAAAACMwH3jLoCT12w2o1AoRL1ej4iIjY2NSKVS4y0KAAAAABiawDfhWq1W3LlzJ5rNZqyvr0e9Xo9GozHusgAAAACAY2BKh4S7c+dOLC4uRrFYjEajEdlsNtbX143oBQAAAIAEMsI34bLZbLTb7XGXAQAAAACcACN8AQAAAAASQuALAHAC7t69G7/+678ed+/eHXcpAABAggl8AQCO2QsvvBA/8RM/EU899VT8xE/8RLzwwgvjLgkAAEgoc/gCAByjF154IT796U/H22+/HRERb731Vnz605+OiIhPfepT4ywNAABIICN8AQCOyc6wt+Ptt9+OT3/600b6AgAAI2eELxzC3bt348aNG/Hqq6/Ggw8+GJcvX46HH3543GVNDe03HO03HO03HO13ePuFvR2d0DfCSN9+9L3haL/haL/haD8AGJM2p1IqlWpHRDsi2uvr6+MuZ18vv/xyt86IaL/88stjq+X5559v33fffdvquf/++9vPP//82GqaJtpvONpvONpvONrv8H7zN3+zfebMmW1ttt/PmTNn2r/5m7857pInkr43HO03HO03nElsv0k6twCA4zTTbrfbxxMlM8lmZ2ej1WpFRMT6+nqk0+lj3+c3v/nN+Na3vnWodV555ZX4xCc+0b398ssvxyOPPDLiyg529+7d+OhHPxo/+MEPdj12//33x+///u/Hj//4j594XdNC+w1H+w1H+w1H+x3eQSN793LmzJl4/vnnjfTtoe8NR/sNR/sNZ1Lb76tf/Wo8+uij3dvjOrcAgONmDl9OzBe+8IV49NFHD/XTG/aO040bN/b8gzUi4s0334wbN26ccEXTRfsNR/sNR/sNR/sdzt27d+Py5cuHCnsjtqZ3uHz5cty9e/eYKps++t5wtN9wtN9wtB8AjJfAFwbw6quv9n38G9/4xglVMp2033C033C033C03+G8+OKL8dZbbx1p3bfeeitefPHFEVc0vfS94Wi/4Wi/4Wg/ABgvgS8M4MEHH+z7+EMPPXRClUwn7Tcc7Tcc7Tcc7Xc4jz32WJw9e/ZI6549ezYee+yxEVc0vfS94Wi/4Wi/4Wg/ABgvc/ieUubwPZy7d+/GT/7kT8abb7656zHzuB1M+w1H+w1H+w1H+x2eOXxHQ98bjvYbjvYbzqS2nzl8ATgtjPA9ZpVKJWZmZo71p1AojPtpDuQDH/hAPPLII4f6+chHPjLusiMi4uGHH47nnnsu7r///m3333///fHcc8/5g/8A2m842m842m842u/wPvWpT8Xzzz8fZ84M9meWsHdv+t5wtN9wtN9wtB8AjJcRvses0WjEtWvXjnUfTz75ZORyuUOtM44Rvkcxaf8L/4d/+Idx48aN+MY3vhEPPfRQXL582R+sh6D9hqP9hqP9hqP9Dm+Qkb7C3oPpe8PRfsPRfsOZtPabtHMLADguAt9TSuALAMevX+gr7AU4Wc4tADgtTOkAAHBM9pveQdgLAAAcF4EvAMAx6oS+Z8+ejYiIs2fPCnsBAIBjc9+4CwAASLpPfepTkclk4sUXX4zHHnssHn744XGXBAAAJJTAFwDgBDz88MOCXgAA4NiZ0oHuxdsAAAAAgOkm8D2lekPejY2N8RUCAAAAAIyMKR1OgXq9HhFbIe/GxkaUy+VtjxcKhSgUCpFOpyOVSkVExIULF7q/AwAAAADTQeB7CiwuLm67nUqltoW5Gxsbce3atW2jfqvVauRyuROqEAAAAAAYBYHvKdBut8ddAgAAAABwAszhCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJcd+4C4B+vve97227/corr4ypEgAAYJrtPJfYea4BAEkh8GWivfrqq9tuf+ITnxhPIQAAQKK8+uqrkclkxl0GAIycKR0AAAAAABJC4AsAAAAAkBAz7Xa7Pe4iYD+tVitefPHF7u0HH3wwfuiHfmiMFTFNXnnllW3TgPzWb/1WfOQjHxlfQTAlHDtwNI4dOLyTPG6+973vbZsy7rHHHotUKnUs+wKAcTKHLxMtlUrF3/gbf2PcZZAQH/nIR+KRRx4ZdxkwdRw7cDSOHTi84z5uzNkLwGlgSgcAAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICHuG3cBAMfl/e9/f/zSL/3SttvAwRw7cDSOHTg8xw0AjN5Mu91uj7sIAAAAAACGZ0oHAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUADq3ZbB5q+UajcUyVAHBa+OwBgMEIfIGJs7KyErOzs9FqtU50v5VKJRYWFmJ2drb7s7S0FPV6/UTrgKM6yWNnaWkpZmZmYnFxMSqVSjQajW37bTabsbq6GoVCIWZnZ+PKlSvHXhMcRqPRiEKhEPPz8zEzMxMzMzMxPz8fhULhRN/3ffYwbcZ57PjsAYDBzLTb7fa4iwCI2PojvfdkYX19PdLp9LHvt9FoxKVLl2Jubi6KxWLk8/luPaVSKSqVSuRyubh+/XqkUqljrwcOaxzHzsLCwsAjp9LpdKytrTl+mBhLS0uxuroauVwuFhcXY25uLprNZty8ebPbrzOZTFSr1WM7lnz2MI3Gfez47AGAwQh8gbFotVpx586daDabsb6+HvV6fdcf8CcRWtXr9VhcXOx7UlCpVKJQKDhxYCJMyrEz6El3NpuNarXquGFiLCwsRKvVilqttudxsrKyEsVisXu7VqtFNpsdaQ0+e5hGk3Ds+OwBgMGY0gEYizt37sTi4mIUi8VoNBqRzWZjfX39RP8wb7VasbS0FBHR96Qgn89HPp+PZrMZly5dOrH6YC+TcOwMIpPJRK1Wi1qtNnG1cXoVCoVotVqxtra273+KLC8vx/Lycvf24uLioecN7cdnD9NoEo6dQfjsAYAtRvgCE6V3/tHjHqXY+VpiJpOJtbW1vss2Go1YWFiIiK0T9Fwud2x1wVGc5LETsTXK6sknn4xcLheNRiM2NjYiImJubi6y2awTbSZOs9mM+fn5gUYdtlqtmJ2d7d7OZrNRq9VGUofPHqbNpBw7ET57AGBQ9427AIBxaLVasbq6GhEx0NcNM5lMpNPpaDabce3aNSfd8OfS6fSJzLUNwyqVSgOHQalUKvL5fFQqlYjYmoKh2WwO3dd99jCNJuHY2clnDwD0Z0oH4FTqnIhERFy8eHGgdTonFo1G48S/ogjAcOr1erRarVhcXIz5+fkDl++MrO1df1g+e5hGk3DsAACHI/AFTqWbN292fx901ErvSBInLwDTpfPV74itr6h3RtruZ+fowfX19aFr8NnDNJqEYwcAOByBL3Aq9V7heW5ubqB1ek/OD5p3EYDJcuHChW23Dwpcd342dObIHobPHqbRJBw7AMDhCHyBU2fnV2IHnQPugQce6P5+586dkdYEwPEqlUqRyWQilUrF8vLygXPo7vysGOSr7IfZns8epsW4jx0A4PAEvsCpc9SRJr0jWoxWgXfU6/VYWlqK2dnZmJmZidnZ2VhYWNg2XymMWyaTibW1tdjc3IxSqXTg8jtDq0wmM9T+ffYwrcZ97OzHZw8A7E/gC3AEvfPZwWn12muvxeLiYpRKpSgUCnHv3r1ot9tx7969yGazUSgUYnZ21ryjTKVyudz9PZ1OHziq8ST47GEaHPex47MHAA4m8AVOnZ0nzINeOKeXUVYQsbKyEktLS1Gr1SKbzXaPpVQqFaVSKUqlUvfK7k68mSaNRmPbKMXeAOuofPZwGhzHsbOTzx4AOJjAFzh1nDDD8NLpdFSr1cjn8/sus7y83J2ndGlpybHH1CgWi93fs9nsSEYo6v+cBsdx7PTy2QMAgxH4AgCHVq1WI5fLHbhcZ5lWqxVXrlw57rJgaKurq91RgZlMJmq12pgrgulwEseOzx4AGIzAFzh1dn6N1sgPOD6Li4vd31dXVx1vTLTecCidTsft27dHtm2fPSTZcR47R+GzB4DTTuALnDpzc3NDb+Mocy/CadT5Wm2H+RSZZJ2vf6fT6VhbWxvpe73PHpLsOI+do/DZA8BpJ/AFTp1RnISM4sQdToOdx8pLL700pkqgv2KxGPV6/dgCK589JNVxHztH4bMHgNNO4AucOjtPAnZeOX0/vV8HnISTGRiHRqMRCwsLMTs7G5VK5dDr+1otk6hSqcTKykpkMplYX18/lvd4nz0k0UkcOxE+ewDgsAS+wKmz82Sk2WwOtN76+nr3951fFYTT4sqVK9FoNKLVakWhUDjwJHpnqCWwYtLU6/UoFAqRzWZjbW3t2Pbjs4ekOaljJ8JnDwAclsAXOJUymUz390FHffSePFy8eHHUJcFUGHaU1Pz8/GgKgRFoNBqxuLgYuVwuarXavsu1Wq2BA9p+fPaQFCd97PjsAYDDEfgCp1I2m+3+PuiJSO9yuVxu5DXBNOgdYVgqlQ4cNbXz+HriiSeOoyw4tGazGZcuXYp8Ph/VarXvsteuXYvV1dWh9+mzhyQYx7HjswcADkfgC5xKV69e7f4+6IU8Go1GRGyddPhaLadVJpOJXC4X7XY7lpeXD1y+d+RXNpv1tVomQqvVisXFxXjiiSeiXC4fuHyj0RjJ+77PHqbduI4dnz0AcDgCXyBxVldXuyfI+0mlUt2RVoOMPKnX693fS6XScAXChBrk2CkUCrG6ujrw12t7jy/HDpPi0qVLkc1mBwqsIrY+A3qnY9iLzx5Og3EdOz57AOBw7ht3AQD7Oex8ba1WKxYWFrpf4yuXy5HP5/ddvlwux8LCQrRarVhdXe37VdnOiU02m/WVWibecR476XQ68vl8XLp06cCL9FQqle42l5eXDzzph5OwuLgYc3NzUSgU9pxWoff4aTab3ZGC+41S9NnDaTHOY8dnDwAczky73W6PuwiAjpmZme7vtVpt23yHB1ldXY2lpaXu7VQqFZubmwOvs76+vudJSaVSiUKhEKlUKu7du+drgUykkz52FhYWYm5uLqrV6p7HRO828/n8wKPB4DgVCoWoVCqHXi+dTsf6+vqej/ns4TSYlGPHZw8ADMYIX2BsOl9VbbVasbGxseuP8kKhEIVCIdLpdPeP+gsXLux70rvz/kHmjOtcXXppaSkWFhaiVCp1R5e0Wq0oFotRqVQim83ue3IBJ20Sjp3bt2/H0tJSzM7OxvLycly8eDHS6XS3ntXV1UilUtuOKRinlZWVIwVWEf2PCZ89JN0kHTs+ewBgMEb4AmPTOyIxYvcf/h29XxGsVqt9v9ZaLBZjZWUl0ul01Gq1gS8U0mq14tatW1Eul7d9TTGbzUahUDjUaEk4bpN07NTr9SiXy1Gv16PVakUqlYp0Oh1PPvlk5PN5QRUTY3Z29tDTnXQsLy/3nQfUZw9JNonHjs8eAOhP4AsAAAAAkBBnxl0AAAAAAACjIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AMDQVlZWolgsjruMqdRsNmN+fj4ajca4S5lY+hcAAAxO4AsADKVQKMTNmzejVCqNu5SpVC6Xo9lsjruMiba8vByNRiOWlpbGXQoAAEy8mXa73R53EQDAdCoUCnHr1q24d+9epFKpcZczlWZnZ2Nubi7W19fHXcrEW1hYiHQ6HdVqddylAADAxDLCF4CptLq6GoVCIRYXF2NhYSHm5+djdnY2VldXx13aqVGpVKJSqcTt27cPHfaurq7GzMzMvj+j/Pr+0tJS332Nc3RtvV6PVqsVhUJhoOVPe7tVq9VYXV2NlZWVE983AABMi/vGXQAAHEWz2Yw7d+6Y93RMGo1GFAqFWF5ejkwmc+j1s9ls1Gq1aLVasbGxEaVSaVuAWK/XR1JnpVLZta18Ph+Li4sREZFOpyOdTo9kX0dRLpe7NQ3itLdbOp2OcrkchUIhMplMZLPZE68BAAAmnSkdAJh6i4uL3XCqWq1GLpcbc0XJNz8/HxExsmkIFhcXI51OR6VSiYiIVCoVm5ubQ22z1WrFpUuXIp1Od0d+5/P5bsg6CWZmZroh7lGc1nYbdf8DAIAkMaUDAFOvM+qQk1GpVKLZbI50+oA7d+5suyBXq9UaeptXrlyJ69evbxupOkkX/eqEtMPUdBrbLSKiWCxGs9k0tQMAAOxB4AvA1HOxsJPTarWiWCxGOp0eeBqCgzQajWi1WpHNZrdNEzDMdB2rq6sxNzcXqVRqWwh64cKFYUodqcNO57DTaW23iK02S6VS3eAXAAB4h8AXABhYpVI51EXGBlGv17tzsfYGl0cN8lqtVly7di3K5fK2UaqZTGZi/nOg1WpFo9EYavqR09huva5evRoRMVFTTQAAwCQQ+AIAA+uEa6OcJ7lWq3Wn5ei9ANxRg8tisRilUqm77Y5JusBXZzqHYYLz09huvTojozttCQAAbBH4AgADqdfr0Ww2I51ObxtROortdkLFzsW4Io52Qa56vR4bGxvd7fWOVJ2kuZ7L5XKkUqmhwtTT2G69UqlUpNPpaLVa3YvLAQAAAl8AYEDVajUiRjviszPfbGeEam+QfOfOnUNvr1gsxvXr1yNia6Rr7zy0kzJStdFoRLPZHGoO5NPYbnvp1GZaBwAAeIfAFwDGoNlsxurq6lSNTOyM+lxYWBjpNnsDxWHmoi0UCnH16tXufLM756GdFJ1wcpjpHE5ju+2lM/r4KCE3AAAklcAXgFOr2WzGyspKLCwsxOzsbPdncXHxyPOC9m5vZmYm5ufno1AodEdkNhqNWFhYiEKhELVaLZaWlib2K/O9Wq1WN0gc5YjP3nloI7YHl72jTA/SaDRiY2Nj29zCkzoP7a1btyKTyQw1LcZpbLe9dOrr7Z8AAHDaCXwBOJWKxWLMz89HrVaLUqkUm5ubsbm5Gffu3YulpaUoFosxOzs78AjcRqMR8/PzUSwW48knn4x79+5Fu92OarUad+7ciYWFhVhcXIwrV65EtVqNWq3WHeHZO6JyUvXWeFzz9+61/UFDvCtXrnSnJOjddsekhOqrq6vRarWGGt0bcfrabT+pVGrPkckAAHCaCXwBOFVarVYsLCzEyspKlEqlqNVq24KzVCoV+Xw+7t27F+l0uhv+9tNsNmNhYSGazWaUy+VYXl7uhlCZTCZu374dqVSqG9J1grlMJhO5XC6Wl5eP7fmOyksvvRQRo/2K/855aDsOG1wWi8UoFArdNu+sN4nz0Hamc3jiiSeOvI3T2G79dJ732tramCsBAIDJIPAF4FS5dOlSNBqNA4PWVCrVDWpXVlZiZWVl32U7oyA7YfFe2+rcv7Ky0g3sIrYuhFYqlY76dE5MJ0Ccm5sb2Tb3GqUasT247G2r/epqNBq72n0S56FttVrd59wbsh7WaWu3g3T6pCkdAABgi8AXgFOjN2wdJGTtDWqLxeKegVKj0RhobtuLFy92f++M8pwmnec4TFC50855aDt6Lwq3vr7edxtLS0t7tuckzkN769atiBjuYm0Rp6/dDtLpkwJfAADYIvAF4FRotVrdqRlSqdTA89A++eST3d/3Curu3LnT/b3f6Nfe/U3jXKOdr/mf9AjffiHeyspKPPnkk3u+lpM4D225XI5UKrXtAmlHcdra7SCdPrmxsTHmSgAAYDLcN+4CAOAkdEZXRkRcuHBh4PV6v9Zer9ej1WptG+XaO9/poEY5Svakjar2/eahjRgsuGw2m3Hz5s09520ddh7aVqsVS0tLkU6nRzYae78pFA5rktttXObn5yPiaMciAAAkkRG+AJwKvV9VH3b+1F69wVu/UZW9ow8PEzhPilGPntxvlGrEYMFloVCI69ev77vtjkHnoW02m1Gv16NYLMb58+ejXq+PdIqATnA87HQOk9Zue1ldXY2lpaWYn5+P2dnZmJ2djfn5+VhaWorV1dUjbxcAABiMwBeAU6E3ABtmWoKdQVo2m+0Gbf2maugNnIcN/cZhlFM5ROw/D21Hv/CyUqlEJpPZN5Q87Dy08/PzsbCwEKVSKR544IFjCeQrlUqk0+mhL4Q2Se22U6VSidnZ2bh582Y8+eSTUavVYnNzMzY3N7t1l8vlmJ+fF/wCAMAxMqUDAAypVqt1v1ZeqVR2fW2/1WpFpVKJiK2LxR0l9BtmmoFKpRLVanVbAJjL5aJQKAw8l3FvHaNQr9f7XjgvnU536202m906W61WlMvlPack6N12xyDz0O68wNlBFzw7rM5UIFevXh3Jtial3Xp1ll9bW9uzT6XT6cjn85HP56PRaMSVK1fi5s2bUa1WD7Wfvbz22msRMd1TpQAAwCgZ4QvAqdA7QnWY6Qn2CpU6IzdTqVQUCoVYWVnpBqP1ej0WFhai1WpFqVSK5eXlgfc17DQDrVYr5ufno1gsRrFYjPX19VhfX4+1tbXuY50g+iCd5z2KqR36zUPbsd9I1aWlpX2nJOgsO2nz0HYC+uOcv7djHO02Pz8fmUwmarXaQP+BkMlkusHzKC4MdxwXFAQAgGkm8AXgVOgNlg4zSnXnsnsFYaurq5FOp2NzczPK5XLUarU4f/58zMzMRKFQiGw2G+vr64cKe0cxzcClS5ei2WzG2tratrpTqVSUy+XuKN9+U1F09I4UHdbNmzcPDBQ7I6YjohsOdtq5X+A5qnloR2l1dTWy2ezQI1Ansd2WlpYim832HXW8n87o3mGnOOn8J8RhR6sDAEBSmdIBgFMhl8tFsViMiIg7d+4MvF7vsul0es9Q6ebNm91AufO19WENO81ApVKJRqMRuVxu3yCsVCrF6upqFAqFA7ff2cYoRvjW6/V48skn+y6z82J4rVYrrl271ndKgojh56Edtc4I6lHM2zxp7dYZcT7MtAy1Wi1mZ2ejUCgcOaDv/CeEwBcAALYY4QvAqZBOpyOXy0XEVkA0yKjWiNgWZu03d26z2dwWmE2CTq0XL17cd5lOQNaZOqKfznY60woMo9FoHBgq7pya4MqVKwONIh1mHtrj0HkdOn1vGJPWboVC4Ugje3cqlUrd/4w5is5/yiwsLAxdCwAAJIHAF4BT4/r1691AbJCAqdlsdkdo5nK5fcO2CxcuxOrq6ra5e8dtkPleI94JCA8apdn73IcJfVdXVw9VV8Q7c9EeFHY2Go2Jmr+31Wp1R1kPa9LardMHRtHG+Xw+7ty5c6Rjp9Vqddcb9+sNAACTQuALwNTrDYr6TTmQSqW6F5ZqNBp9v2bfbDa7Ix1zuVzfQLSznWKxGLOzszEzM7PtZ3Z2NmZnZ2N+fj6Wlpa64d1x6Q1kD7qQVe8o335SqVR3DtrDTInRq9VqxZUrV7q/H6Szv1Qq1feCYx03b97s/j4J8/eOajqHSWy3er0+UJDdaDQGutBgNpsdeNT9zjoitp6rKR0AAGCLOXwBmErNZrP7c+3ate79na+Yd+bb3RkCpdPpWFtbiytXrkSlUol6vR7FYjGy2WzMzc1Fs9mMmzdvdsO6Uql04MXWMplM36+ld0K6VqsVzWYzVldXI5VKRbVaPZZRib2B7KAXChtkbt5sNhurq6sHzgfbqzPP69raWrdNI7a+fl8sFiOdTseFCxf2rPPChQtRr9fj+vXrez7eaDRiY2MjWq1WvPTSS7GystJ9rDM6e25uLlKp1L77OE7lcjlSqdSRXuNJb7eXXnrpwPmEe/9zY3l5ue/0DxcvXoyXXnrp0KOhX3rppYiII13UEAAAkkrgC8BUKhaL3TCpd/TpxsZGd0TlfiFTJ2xtNptRLpejXC5HsViMVqvVDblKpVI88cQTA4WExWIxKpVKZDKZePLJJ3et02q14rXXXotms9kd8dhqtWJxcTGq1epIvvK/c3/HsU6hUIjV1dWBR2L2jpKO2B4+N5vN7uu0XxtkMplIpVJ7PtZqtbbN2drbB3rr7TiOdu6n8zof9J8Fe5mGduscK/2eQ+9I9pWVlb6BbzqdPvSFCSPeGeE7ioviAQBAUgh8AZhKB805O4h0Oj30RacWFhai0WhEuVyOfD4/0DqNRiOuXLnS/fckg8idOqHdoF+7T6VS3ZHVB32FPp1OR7vdPnJt/V6bVCo11LaPW+dibUcJIpPQbgdNJbLTICPMd+rMkbxfuA0AAKeVOXwB4IhWVla6F+UaNOyN2BqBefv27UilUtFqtY59Tt9+OiN7B53u4OrVqxERY615Gty6dSsymUxi55VNp9N9/5MglUp1p7TozJ3dz/r6eszPzx+qhlu3bkVEHOrYAwCA00DgCwBH1LnYVe/X7wfVmToiYrDRtYfd9nHphGu98yaz3erqarRarURPM7C4uHhgiJvP52NzczM2NzcPnMe4Xq8feq7jzkjmzn9CAAAAWwS+AHBEna+tH2Xu0Yh3gt5RB7S9o0oPmpu381X6QS96lUqlolQqRavV2nYxMd7Rmc7hiSeeGHMlxyeXy0W9Xj/SfNE7daYIyWQyA6+zuroazWYzSqXSiV+MDwAAJp3AFwCOqDOCs1KpHDr4qtfr3cB31MFg70jJg0YPd+o+zCjl5eXlkcx/PKmOMp9sR6vVinq9HrlcLvFBZD6fj2KxOPR2CoXCofvStWvXIp1OH+mieAAAkHQCXwA4olwuF8vLy9FqtWJhYWHgqRlWV1e7AWutVjuWYLAzWvKgmjqPH/br9NVqNZrN5kgCv0nRuQhYo9GIiIg7d+5Eo9E4VJjfmVc2ydM5dJRKpajX60PN51ypVGJjY+NQ8/B25s7ujKQGAAC2E/gCwBBKpVI3tJ2fn4/FxcXu1807OkHiyspKzM/Px9LSUuRyuVhfXz900DqoTuDYb57VTrCZTqcP9XX6iK1AuVwud8O3aba0tBQzMzMxOzsbly5dio2NjW4If+nSpZidnY2ZmZmBRkF3LlR2XK/rpKnVanHlypUjhb6VSiVKpVLcvn174HU6/8lQKpVOTRsDAMBhzbTb7fa4iwCAJGg2m1Eul6PRaMTGxkY0m81otVqRSqUinU5HOp2OxcXFQ41m7FhaWorV1dXIZrMHXiyrY35+PprNZqyvr2+b17djcXEx6vV61Gq1I4dnhUIhbt26Fffu3Uv8FAYHaTabMT8/H/l8/lSNPm02m7G4uBjZbHagOXVbrVZcuXIlms1m3L59e+B+0xlJn8lkolqtDl84AAAklMAXACZYq9WKZrMZS0tL0Ww2I5VKxe3btyOdTg8UrC0sLMTGxkZUq9VuqNsJ3FZXV6NcLh8pgO7VqW1tbW2o7Uy7YrEYKysrsba2dugR00lQLBajUqnEE088EUtLS3HhwoVuH202m9FoNOLmzZtRr9fj6tWrh55/d3FxMVKplLAXAAAOIPAFgAnUGdEbEXsGu515ZQcZ8VupVKJcLndHG0dEXLhwIYrF4p4jf49iZWUlXnvttcReyG0QxWIxGo3GwCOwk6jVasWtW7e6czx3pjbpTBuyuLgYTzzxxKFHg+tfAAAwOIEvAAAAAEBCuGgbAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBD3jbsA6Off/tt/G+vr6+MuAwAAgFNqfn4+/sJf+AvjLgNgYAJfJtr6+no8+uij4y4DAACAU+rll1+ORx55ZNxlAAzMlA4AAAAAAAkh8AUAAAAASAhTOjBVPhr/j/jheHfEzPb/q5g5M9N7Y/tjMxE7Fn7n9zM7HuxZeGbnijtvnzmz/2NH3Oeulfste1B925btU8+u/RxiO32fy8722llDv+ey/WZ7W5sMvp12v+3uWnbndgdc9sDt9Gm/Pm3Ut/a99rNvfTsePHNAvf0e69un+q3br/12rLfr9e15bGeBfV+X/vXtu97OfR74PPffcP8+1WfZPrUetr6+y+6wrX2HapM+OzlEmxyq9kO89odp61G1Sd/9zGzv2YM+l4PaZHvb9tlHv/X2XLZnW4d6PXccwX2P7f2X7feRueftbfavfabvPvd/bNfNHctuW/cQH/8zO1pl99txe8/f91r4TJ9l+3yc7V625/aZnfXtapP993mmT9vuWrbPdna2Ue92zxxiu/2W3fmRtGvZPts5M/P2ju3uvf+9t/vOumf7vGY797Grhr719Vk29q/9bBywz56adrffznV7l92/nq399vaFt/s8tnO9fvvc7uzO16zP67C73rf3/H1r3b2X21nPzu3uaoNDLNu73bO7jtf92/Ywr8Pufcb229HvWOrd5vYVdy870/PYzmX3v727njN7Lre17Jkdy87EK/fejL/5//pXATCtBL5MlR+Od8d7Zs7tEer2nj30CYN3Pt4v8D1zZt/HttbtE/ju2O7MYQLfbWcEfWo4MJDut2yfwLdvcNz/efY+visIO1TguzPI2/aX8sDb6VvDMOFw3+30q2/7Q/3qO1Tge5jgs1/ge1DQs+313fnYaOrrG/j2a9uDtnuo5znYY1uP93t9+6x7QvUd6rmMajsDBpaHWfbE9rnDydQ3osC3b38bYeDbJ8A8cuB7iGV3h6R9ws5dz/OYAt8+bb09mD36Pne//fUJQnd9VPdbdv/6+gehR9/noI/t3M+By/bWd5hw89i2s38welDguy2s67vP/uHr2cMsu62+/Zc9KPA92yfE3RVY9gkld9bb77n01rS7DXaGr4eor0/g2y9I3r3P/dt25z63PZcD6jvbJ6Q/27dt938uBy/b7rNs7Lvs7nC9d7ntK+5edqbnse3L7l73ndtnZ3Y+tn/ge3ZX4OuL0MD0804GAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABLivnEXAIfx3fjTiHbEzv+rmGnP9Nza8djbOzYy0/v4zI7H3rm9fZvbH4uIiPaZ/R/rt88zB2y3t6Z+y+5cr9/tXbvY8X892/ZziO30fS47Htv530t9n8v2m+1tbTL4dtr9trtr2Z3bHXDZA7fTp/36tFHf2vfaz7717XjwzAH19nusb5/qt26/9tux3q7Xt+exnQX2fV3617fvejv3eeDz3H/D/ftUn2X71HrY+vouu8O29h2qTfrs5BBtcqjaD/HaH6atR9Umffczs71nD/pcDmqT7W3bZx/91ttz2Z5tHer13HEE9z2291+230fmnre32b/2mb773P+xXTd3LLtt3UN8/M/saJXdb8ftPX/fa+EzfZbt83G2e9me22d21rerTfbf55k+bbtr2T7b2dlGvds9c4jt9lt250fSrmX7bOfMjj9Ae9toZ/vt3u47657t85rt3MeuGvrW12fZ2L/2s3HAPntq2t1+O9ftXXb/erb229sX3u7z2M71+u1zu7M7X7M+r8Puet/e8/etdfdebmc9O7e7qw0OsWzvds/uOl73b9vDvA679xnbb0e/Y6l3m9tX3L3sTM9jO5fd//bues7sudzWsmd2LDsTr9x7MwCmmcCXqfL78b9t/bLz7PCtEy8FAAAAACaOKR2YaK+99tq4SwAAAOAUc14KTBuBLxNtc3Nz3CUAAABwijkvBaaNKR2YaA8++OC227/1W78VH/nIR8ZUDRyPV155JT7xiU90b+vnJJF+zmmgn3Ma6OecBjv7+c7zUoBJJ/Blov3QD/3Qttsf+chH4pFHHhlTNXAy9HNOA/2c00A/5zTQzzkNdp6XAkw6UzoAAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAlx37gLgH7e//73xy/90i9tuw1Jo59zGujnnAb6OaeBfs5poJ8D026m3W63x10EAAAAAADDM6UDAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAl2NRqVRiYWEhZmdnuz9LS0tRr9dPVQ0k27j7WKPRiEKhEPPz8zEzMxMzMzMxPz8fhUJBP2dkxt3P+2k2mzE7OzsRtTDdJqmf1+v1WFpa6r63z8/PT8wxx3Qbdz9vtVqxsrLSraG3f1cqlROpgdNhZWUlZmdno9Vqneh+x32MAfQS+DJSjUYjZmdno1QqRaFQiM3Nzdjc3Iy1tbWYm5uLxcXFWFpaOtYP30mogWSbhD62tLQUCwsLsbGxEcViMarVapRKpUilUlGpVGJxcTEWFhai2WweWw0k2yT084N09u/9nKOapH7eaDRifn4+FhcXY25uLsrlcmxubka1Wu3WUSwWj70OkmcS+vnq6mqcP38+Xnrppbh69Wqsra3F5uZmlMvluHjxYhSLxZifn4/V1dVjq4Hkazabsbi4GMViMVqtVmxsbJzIfifhGAPYpQ0jUqvV2hHRTqfT7c3NzT2XKZfLBy4z7TWQbJPQxzKZTDudTrfX19f3fLxUKrUjovtTq9VGXgPJNgn9/CCd/UdEu1qtnvj+mX6T1M87+0mlUu21tbU9l9nc3GynUinv6RzKJPTzcrnct2+321v9O5vNtiOiXS6XR14DybO5udmu1WrtcrncXl5ebmcymW1//0bEvn8rj9IkHGMAexH4MhKdk5CI6PvHXLvdbufz+XZEtDOZTOJqINkmoY/l8/mB/lhcXl4+8T94SYZJ6OcH2dzc3Na/Bb4c1iT1897/vNjvvbparbbT6XQ7Itq5XO5Y6iB5JqGfr62tDbT/jk4/93cLB+kEralUqp3NZtvLy8vt9fX1bp8/iX40CccYwH4EvoxELpcb+AOs84ffqE/SJ6EGkm3cfWx9fX3gEbs7A7FsNjuSGki+cffzQWSz2W0ndN7HOaxJ6ee92+43qrF35Fo6nR5pDSTXJPTzXC53qD5brVbbEdHO5/Mjq4HT5SQD30k4xgD2Yw5fhtZqtbrzbWWz2QOXz2QykU6nIyLi2rVriamBZJuEPtaZo3cQqVQq8vl893a9XjefLweahH5+kEqlEhsbG/HEE0+cyP5Inknq50tLSxERkU6nt71n99OpBfqZlH6+uro68N8uEe/UeufOnZHVAMdhUo4xgP0IfBla71V1L168ONA6nQ+7RqMxkhBqEmog2Sahj9Xr9Wi1WrG4uBjz8/MHLr+wsLBrfehnEvp5P61Wq3uRwsMECNBrUvp5pVLpbqtQKPRdtlqtRj6fj3w+H+VyeST7J9kmoZ93LlDVaDQOve7c3NzQ+4fjNAnHGEA/Al+GdvPmze7vg56A945OGUUINQk1kGyT0Md6rzTcbDYPvJL1zlFg6+vrQ9dAsk1CP+/nypUrcfXqVSMcGcqk9PNSqdT9PZfLHbj/crkc5XJZ/2cgk9DPe/fbGc1+kM7I3kwmM/T+4ThNwjEG0I/Al6H1/q/9oP8b3/uhuLa2logaSLZJ6GMXLlzYd/t72VlnZ6QN7GcS+vl+VldXo9lsxvLy8rHtg9NhEvp57zQ7qVRKiMvITUI/j3gn4FpdXY2FhYUDRzUWi8WIOHjUO4zbpBxjAPsR+DKUnX+0DXrC8sADD3R/H3aOrkmogWSblD5WKpUik8lEKpWK5eXlA+cL21n3INNAcHpNSj/fS6vViitXrsT169ePZfucHpPSz6vVavf3nf+ZB8OalH4esT24bTQaMT8/HysrK3suu7KyEo1GI0qlkv8EYaJN0jEGsB+BL0M56ojB3v/dHHbU4STUQLJNSh/LZDKxtrYWm5ub274KvJ+df4z6eiT9TEo/38uVK1cin8/rwwxtUvp571d5e7e9srISCwsLMTMzE7Ozs7GwsLBtnkgYxKT084iI5eXlXe/dxWIx5ufnt42QXFlZiWKxGOVy2Tc5mHiTdIwB7Efgy9j1zkt6mmsg2cbRx3ov7JNOpwe6gjAM4zj6eb1e7474gkkwin7e+x9yna8CLywsxGuvvRbVajXa7Xbcu3cvCoVCFAqFmJ2dPXDedhilUb6f3759e1fo22w2Y2FhIQqFQiwsLES5XI61tbXI5/Mj2y9MMuefwHET+DKUnR9UR7lq+rD/uzkJNZBs09jHdl7911XdOcik9vOlpaVtX3+HYUxCP9+5fiqViqWlpbh69eq2r7KnUqnI5/OxtrYWrVYrlpaWjPZlIJPQz3fuf21tbc+Ru5VKpfufer7FwbSYtGMMYC8CX4YyCR9Uk1ADyTaNfaxz0ZOIiGw2a3QvB5rEfl4oFEzlwEhNQj/fOd1O52vtuVxuz+UzmUw3KCsUCtu+Bg97mYR+vpdSqbTv3yNLS0uxtLQ0sbVDL/0UmAYCX4CEWV1d7c4PmclkolarjbkiOLx6vR71et1UDiTOzpFh9Xo9rl692ned3gtfLS0tHUtdcJzq9XrMzs7GxsbGvqN9V1dX4/z58/5TAwBGQODLUHZ+fWUc/9s5CTWQbNPUx1qtVly5ciUitubtvX379pgrYlpMWj8vFAqmImHkJqGfd+bs7UilUgeOYu+9Anyz2dx20TfYaRL6ea+VlZVYXFzsTlGSyWSiVCrF+vr6rr7farViYWFh10h4mCSTdowB7EXgy1B2nrQcxVHmPJq0Gki2aepjna9DptPpWFtb07cZ2CT182KxaCoSjsUk9POd61+4cGGg9XpDX/Na088k9POOlZWVKBaLkc/nd31jo/O3yl7/ube4uDiS/cNxmKRjDGA/Al+GMooPqmE/MCehBpJtWvpYsViMer0u7OVIJqWfNxqNqFQqRvdyLCahn+9cvzfIHZQRvvQzCf08Yuv9vFgsRjqd7vuens/nY3Nzc9to32azGaurq0PXAMdhUo4xgH4Evgxl5wfVznnp9tP7tZdRj/AdRw0k2zT0sUqlEisrK5HJZGJ9fV2f5tAmpZ8vLS0ZvcixmYR+ftT1e9cbtG5Op0no5xHRnWJqkLnYU6lUrK2tRT6f79538+bNoWuA4zApxxhAPwJfhrLzg2rQ+bbW19e7vx9lZMuk1UCyTXofq9frUSgUIpvNxtra2rHth2SbhH5eLBYjk8mYyoFjMwn9PCIOnLMXhjEJ/bzVanUvvpbL5QZer1wud48PF29jUk3CMQZwEIEvQ+s9aRl0wvre/wW9ePFiImog2Sa1jzUajVhcXIxcLhe1Wm3f5VqtlgugcKBx9/PV1dVYXV2NmZmZA39WVla66y0tLW17rFgsDlUHyTbufh6xfd7eo4wMExRwkHH3887fHEfpq1evXt1VD0yacR9jAAe5b9wFMP2y2Wz3f+AHDZR6lzvM//pPcg0k2yT2sWazGZcuXYp8Pn/gfKfXrl2LBx54IJaXl0deB8kx7n5+mHl7C4VCd9/Ly8vbLvAjDKOfcffziK3/pKhUKoeqodegF3rj9JqEfn5UnSDNezmTbJqPMeB0mGm32+1xF8F0a7VaMTs7GxFbH1yDzL04MzMTEVt/yPV+tWWaayDZJq2PtVqtWFhYiGw2O1BItri4GIVCwR+X9DVp/byfhYWF7olWtVrVtxnYpPTz2dnZaLVakUqlYnNzs++yvTVHRNRqNVOf0Nck9PPO9jY3Nw81X2mj0YiFhYVYXl4eaP5f6NV5b43YmkLhuP7jYBKOMYB+TOnA0FKpVPekY5Cr6fZeWXqQP+JWV1cPnMPruGuASejnvS5dujRw2Nupx5yRHGTS+jkch0np552vrffOdbqfO3fudH83zzWDmIR+3vmPuGvXrh24vV6dv20KhcKh1oNRcf4JJEIbRmB9fb2dSqXaEdGuVqt9l83lcu2IaGez2b7LbW5uttPpdDsi2hHRLpfLJ14D9JqEft5ut9vZbLadzWbba2tr7fX19V0/a2tr3Z9qtdrO5/Ntb/cMalL6+UFGvT1Ol0np553lc7ncQDVERHttbe3A7UK7Pf5+vr6+3l2uVqsNVHO1Wm1HRLtUKg20POzU6fNHeb90/gkkiQSAken8gRYR7fX19T2XKZfL7Yhop1Kp9ubm5sDb66xz0jXATuPu553w9rA/6XT6qE+ZU2jc/XwQvSd0ggGOYhL6eW9YsF8/LpVK3W0eFCjATuPu57VarbvcQeFZp458Pt93Oeint38O+h8NHc4/gSQR+DJStVqtnUqldv1Rt7m52Q2qstnsQB90nT8QOz+ZTObEa4C9jKuf9570H/bHaAIOaxLez3utra21a7Vau1qtbhvt2DmBKpVK7Wq12q7Vat7fGdgk9PP19fXuiLJsNtuuVqvt9fX1dq1W6/b1dDptZC9HNu5+vr6+3s5kMt3lS6VSu1ardb+JVCqV2ul0eqBQGHrVarXu3wblcrnbz3oHPPT+fXDQ3wjOP4EkEfgycpubm90P3M4HXyqVaudyuUP/L+vy8nL3w3q//zE97hpgL+Po570jGg/7s7y8POxT5hSahPfzjt6vWPbW0vnp7e8CAw5jUvp5uVxuZ7PZbn9OpVLdABiGNQn9fG1trb28vNzOZrPd9/ROP/e+zVHs/Ht3r78Pdv6NcNB7qvNPIClm2u12OwAAAAAAmHpnxl0AAAAAAACjIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAAAAABJC4AsAAAAAkBACXwAAAACAhBD4AgAAAAAkhMAXAAAAACAhBL4AAAAAAAkh8AUAAAAASAiBLwAAAABAQgh8AQAAAAASQuALAAAAAJAQAl8AAAAAgIQQ+AIAAAAAJITAFwAAAAAgIQS+AAAAAAAJIfAFAAAAAEgIgS8AAAAAQEIIfAEAAAAAEkLgCwAAAACQEAJfAAAAAICEEPgCAAAAACSEwBcAAAAAICEEvgAAAAAACSHwBQAAAABICIEvAAAAAEBCCHwBAEas1WpFoVCI+fn5mJ2djYWFhSgWi0Ntr16vj7BCAAAgqQS+AAAjtrCwEPPz87G+vh6lUikajUasrKzE7OxstFqtQ22r2WzG+fPnj6dQAAAgcQS+AAAjVKlUIpPJxPLyckRE5PP5yOfzEbE1UvfSpUsDb6vVasXi4mJcv349stnssdQLAAAky0y73W6PuwgAgCRrtVoxOzvbvb22thaZTObAdTpTQXQCYwAAgIMY4QsAcMxSqdS20PbatWsHrnPp0qXI5XLCXgAA4FAEvgAAJ6D3om2rq6t95/JdXFyMCxcuRKlUOvR+Wq1WVCqVWFpa6l40bmZmJubn56NQKOy6+Nvq6uqhLijXbDZjZWUlFhYWutuenZ3dd/sAAMDJEvgCAJyAdDq9bRqHW7du7bnc0tJSpFKpKJfLh9p+q9WKYrEYs7OzUSgUYm5uLkqlUty+fTs2NzejWq3GwsJCFAqFWFxcjGazGc1mM5aWlga6kFxn2fn5+ajVanH16tVYW1uLdrsd9+7di3K5HKlUqrvM6urqoeoHAABGwxy+AAAnpFKpRKFQiIiIbDYbtVpt2+OFQiGazeau+w/SaDTi0qVL0Wq1Ip/PR6lUilQq1beOYrEYc3Nz0Ww2I5/P9w2Y6/V6LC4uRiqVimq12vcCcq1WK5aWlqJerx+4XQAAYPQEvgAAJ2Tnxds2Nze7wWyxWIx6vR5ra2uH2maj0YiFhYWIiCiVSrG8vDzQep0QNyL6BrOrq6uxtLQUEYNdbK5jcXEx6vX6nsE2AABwfEzpAABwQlKp1LbRsZ1pHVZWVmJ1dTVu3759qO01m81u2JvL5QYOeyO2RhgftHxnGoeIiHK5PHDYGxFRrVYjYitYPswcwQAAwHAEvgAAJ6gzpUPEVihaqVSiXC7H2tpa32kYDtrW9evXD13L1atXB9p+KpWKfD5/qG2nUqluoLyyshLNZvPQ9QEAAIcn8AUAOEG5XK77e2f0a61WO3TY22g0ol6vR8TWaN3Drh+xe8Txftt/4oknDr3tiO2BtFG+AABwMgS+AAAnrDdkLZVKkU6nD72N3jl3O9MuHMXS0lLMz8/33X5nrt/DSqfT3SB6dXX1SNsAAAAOR+ALAHDCeufCPeoFze7cudP9/SiBcUc+n99zLt9Rbb933UajceTtAAAAgxH4AgCcoGazGZVKpXv7qCNfe+fEHSaQHWT7R5kuomNubm7PbQIAAMdD4AsAcEKazWYsLCxEtVrdFtImebqDjY2NcZcAAACnisAXAOAEtFqtWFxcjOvXr0c2m9128babN28eenu9gfFxjJwd1cjcVqvV/f04RiIDAMD/v707OkpdiwIwvG4HaAnQAcQKTDqAFkgJjBU42gFYgZ50IHYg6cDYgaQD7xMZOHKOInLvzJ7ve0Iim/D6z5oVdgm+AAD/gcvLyyjLsgu9ZVl2174z4ZtlWff6mCDbNE0sl8sP728/WO7Y8ze2dxcDAACnIfgCAJzYaDSKPM93Ho7W7/ePWuuwHYx//fr17Xubz+d7Hxw3mUyOPn87JG8HZAAA4HQEXwCAEyqKIrIsi5ubmw/XjlnrMBwOu4i6XC53Viccoq7ruLi4+PB+nufdRO53z5/P593rfb8fAAD4ef+8v7+//983AQCQos2U7J8mZJumicFg0P29Xq+j1+t9+fztz4/H44MncTcPkVuv13uv13Udo9EoIiKm0+lOwP3MMZ8FAAC+z4QvAMAJlGUZbdv+NcL2+/2dVQfX19cHfUe/3+/WMVRVFbe3twd9fjKZxN3d3R+vD4fDLtQuFouD1k5sYvf2GQAAwOkJvgAAP2w2m8Xz8/Pe3bi/297Fu1gsDv6uPM9jtVpFr9eL2WzWhea/2Uz25nm+s1Zin+l02kXryWTy6T1upo6bponxeByr1eqg3wMAABxH8AUA+EGbSdinp6cv/f94PO4e3ta27Ycp3aIoPp2sHQ6H8fr6GtPpNBaLRZydnUVZllFVVTRNE23bRtM0UVVVFEURo9Eorq6uvrxXdzwex8vLS+R5HmVZxmg0iqqqdsJyXddRlmUMBoN4e3uL+Xx+1MPkAACA77HDFwDgh1RVFbPZrJu4/arfd/k+Pj5Gnucxm81iuVweNCXbtm08PDzE4+Nj1HUdTdNERESv14ssy2IymcR0Ov3yefvutaqquL+/72Jyr9eL8/PzyPM8iqL4dGoYAAA4HcEXAOCHLJfLyLLsoNi70bZttwqirutuv6/9twAAwCEEXwAAAACARNjhCwAAAACQCMEXAAAAACARgi8AAAAAQCIEXwAAAACARAi+AAAAAACJEHwBAAAAABIh+AIAAAAAJELwBQAAAABIhOALAAAAAJAIwRcAAAAAIBGCLwAAAABAIgRfAAAAAIBECL4AAAAAAIkQfAEAAAAAEiH4AgAAAAAkQvAFAAAAAEiE4AsAAAAAkAjBFwAAAAAgEYIvAAAAAEAiBF8AAAAAgEQIvgAAAAAAiRB8AQAAAAASIfgCAAAAACRC8AUAAAAASITgCwAAAACQCMEXAAAAACARgi8AAAAAQCIEXwAAAACARAi+AAAAAACJ+BexjSo/PneciQAAAABJRU5ErkJggg==",
      "text/plain": [
       "<IPython.core.display.Image object>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "from IPython.display import display, Image\n",
    "path = '/srv/beegfs/scratch/shares/astro/posydon/POSYDON_GRIDS_v2/POSYDON_data/230914/POSYDON_data/tutorials/processing-pipeline/HMS-HMS/1e-01_Zsun/plots/'\n",
    "# termination flags\n",
    "img = Image(path+'grid_test_combined/TF12/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined/TF1/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined/TF2/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined/TF3/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined/TF4/grid_q_0.70.png')\n",
    "display(img)\n",
    "# processed values\n",
    "img = Image(path+'grid_test_combined_processed/S1_MODEL01/SN_type/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined_processed/S1_MODEL01/CO_type/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined_processed/S1_MODEL01/mass/grid_q_0.70.png')\n",
    "display(img)\n",
    "img = Image(path+'grid_test_combined_processed/S1_MODEL01/spin/grid_q_0.70.png')\n",
    "display(img)\n"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "In this tutorial we did not create a randomly sampled grid to test the accuracy of the interolators. If you create a radomly sampled grid, then the pipeline will also export 2D error maps evaluated on the randomly sampled gird. This is left as an exercise to the reader. \n",
    "\n",
    "TODO: add the automatic export of violin plots and cofiusion matrices to the plotting.\n",
    "\n",
    "Check that you obtained the dataset."
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 80,
   "metadata": {},
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "1e-01_Zsun.h5  interpolators\n"
     ]
    }
   ],
   "source": [
    "!ls POSYDON_data/HMS-HMS/"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "Congratulations you have completed the POSYDON v2.0.0 pipeline tutorial!"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "posydon_env",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.11.5"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}